Madison Academic Press
  • 2025 International Conference on Artificial Intelligence, Mechanical Materials, Energy and Environment (AIMMEE 2025)

    The International Conference on Artificial Intelligence, Mechanical Materials and Energy Environment (AIMMEE 2025) will be held in Wuhan, China in 2025. The conference aims to provide a platform for experts and scholars engaged in research on "artificial intelligence", "mechanical materials", and "energy and environment" to share scientific research achievements and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and exploration, and promote industrial cooperation of academic achievements. The conference cordially invites experts, scholars, business professionals, and other relevant personnel from domestic and foreign universities and research institutions to attend and exchange ideas.

Article Lists

  • Postponed Launch Strategy for Interval-style Narrow Window Missions of Cryogenic Rockets

    Yufei Gu,Cechan Liu,Shaojiang Chen,Yuanming Fu    DOI:https://doi.org/10.56028/aetr.1.15.1.2025    pp. 1-8 Abstract    To enhance the capability of delaying launches at the launch site and improve the utilization rate of narrow launch windows for deep space exploration missions, this paper presents a comprehensive study on delayed launch strategies for cryogenic liquid rockets. By analyzing the characteristics of de...   Download PDF
  • Research on Optimizing the Integrated Talent Training Model of Vocational Education Based on the Background of Long Term Education System

    Weiwe Wu,Yu Wang,Yan Zhang    DOI:https://doi.org/10.56028/aetr.1.15.9.2025    pp. 9-12 Abstract    In the context of economic globalization and industrial upgrading, long-term vocational education plays a significant role in cultivating high-quality technical and skilled talents. This paper focuses on the integrated talent cultivation model of long-term vocational education. First, it explains th...   Download PDF
  • Research on the adaptive joint spatial synchronization method for lidar and binocular camera

    Mengyu Liu,Qianxin Zhu,Jinhai Yang,Bingzhen Zhang,Haihu Zhang,Xin Zhou    DOI:https://doi.org/10.56028/aetr.1.15.13.2025    pp. 13-18 Abstract    Binocular cameras and lidars are widely used in the safety monitoring of the three-span section of transmission lines due to their good complementary characteristics. The existing spatial synchronization methods for binocular cameras and lidars have low accuracy in synchronous measurement due to the...   Download PDF
  • Research on dynamic access strategy of wireless Mesh network for lifting operation monitoring data

    Ming Fang,Fanqiang Meng,Yi Yao,Fan Ma,Bo Liu,Gang Li    DOI:https://doi.org/10.56028/aetr.1.15.19.2025    pp. 19-24 Abstract    Cranes play an indispensable role in the safety management of power construction sites. For the lifting operation, there are many challenges in the process of transmitting the safety monitoring data collected on site to the wireless Mesh network through WIFI. The purpose of this study is to construc...   Download PDF
  • Construction and Benefit Evaluation of the Standardized System for Green Transformation of Ports along the "Belt and Road Initiative" — Based on Multi-source Data and Dynamic Efficiency Analysis

    Ci Liu,Zifei Wang,Huiting Rao    DOI:https://doi.org/10.56028/aetr.1.15.25.2025    pp. 25-34 Abstract    The green transformation of ports along the Belt and Road Initiative faces dual challenges of the absence of a standardized system and insufficient methods for benefit assessment, which seriously hinders the progress of cross-border port low-carbon cooperation. To address this, this study innovative...   Download PDF
  • Optimization of Laser Irradiation Rock Process Parameters Based on Response Surface Methodology

    Jie Li,Zhuyu Gao,He Bu,Bodan Kang,Jingbo Guo,Yuanjun Huang    DOI:https://doi.org/10.56028/aetr.1.15.35.2025    pp. 35-40 Abstract    Aiming at the problem that mechanical rock-breaking is difficult when facing complete high-strength surrounding rock, laser irradiation rock can weaken the strength of rock and effectively improve the rock breaking efficiency. In this paper, the optimization of laser irradiation rock process pa...   Download PDF
  • Chinese-GenAI in Higher Education: Adoption and Impact from a Chinese University students Case Study

    Linwei She,Yongjun Xie,Liqi Lai    DOI:https://doi.org/10.56028/aetr.1.15.41.2025    pp. 41-51 Abstract    This study randomly surveyed 300 undergraduates from a Chinese university and analyzed the current status and influencing factors of university students using Chinese generative artificial intelligence(Chinese-GenAI) through methods such as descriptive statistics and variance tests. The study reveal...   Download PDF
  • Research on the Improvement of Air Conditioning Filter Function Based on TRIZ Method

    Shengze Sun,Jing Wang,Hao Wang    DOI:https://doi.org/10.56028/aetr.1.15.52.2025    pp. 52-57 Abstract    As the COVID-19 pandemic gradually comes under control, railway transportation in various regions is showing signs of recovery. However, new challenges have emerged, such as frequent cases of in-carriage transmission. At the same time, the filtration capacity of the air conditioning systems in China...   Download PDF
  • Optimization of Cement Admixture and Performance Enhancement of Loess Roadbase

    Bo Sha,Wenhui Cao,Shumin Du,Yu Zheng,Zhihong Wang,Bangxin Zhang    DOI:https://doi.org/10.56028/aetr.1.15.58.2025    pp. 58-64 Abstract    Based on the practical difficulties in filling the roadbed of a highway in loess area, cement-reinforced loess was used as the roadbed filling material according to the geological conditions and filler distribution of the project. The mechanism of cement-reinforced loess was analyzed, and the linear...   Download PDF
  • Research on Intelligent Construction Engineering Practice Teaching Mode Based on BIM Technology

    Min Hu,Yujing Xiong    DOI:https://doi.org/10.56028/aetr.1.15.65.2025    pp. 65-69 Abstract    With the rapid development of informatization in the construction industry, Building Information Modeling (BIM) technology has become an essential tool for advancing digital and intelligent transformation. In intelligent construction, BIM technology significantly enhances the efficiency of design, c...   Download PDF
  • The impact of coordinated development of two-way FDI on regional green technology innovation capability

    Yao Hu    DOI:https://doi.org/10.56028/aetr.1.15.70.2025    pp. 70-76 Abstract    With the coordinated development of IFDI and OFDI (IOFDI) proposed as a link between the domestic and international dual cycles, IFDI helps the domestic cycle and widens its scope, while OFDI integrates into the external cycle and seeks depth, jointly promoting the high-quality transformat...   Download PDF
  • Thoughts on the internal teaching quality monitoring system of secondary vocational colleges

    Yunhuan Mu,Yu Wang,Fan Feng    DOI:https://doi.org/10.56028/aetr.1.15.77.2025    pp. 77-80 Abstract    The large-scale expansion of higher vocational education has brought changes to the student body structure, posing challenges to the quality of teaching in secondary and higher vocational colleges. The existing quality monitoring system for teaching is fraught with contradictions and shortcomings. C...   Download PDF
  • Boosting Oxygen Evolution Reaction Induced by Carbon Sacrificial Strategy Based on FeNi2B@C/NF Core-shell Electrocatalyst

    Yajuan Zhang,Xingwei Shi,Xu Hui,Suojiang Zhang    DOI:https://doi.org/10.56028/aetr.1.15.81.2025    pp. 81-86 Abstract    Developing highly efficient and low-cost oxygen evolution reaction (OER) electrocatalysts under large current densities is attractive but challenging. To address this, we designed a novel Fe-doped carbon shell encapsulated nickel-boron core-shell heterostructure electrocatalyst (Fe-Ni2B@C/NF) on nic...   Download PDF
  • Study of the factors affecting a lithium battery’s aging behavior

    Hongwei Wang,Xingzhou Guo,Jinyu Ma,Tiantian Huang,Ziqiang Tao,Guangcheng Xi    DOI:https://doi.org/10.56028/aetr.1.15.87.2025    pp. 87-92 Abstract    It is the precondition and basis for ensuring the reasonable use of a battery to accurately calculate and predict the battery’s aging state. However, there are a lot of difficulties in accurately calculating the aging state of a battery. For example, there are a variety of stresses that have an impa...   Download PDF
  • Research on Non-Contact Resistance

    Tongxi Wang,Yiming Xu    DOI:https://doi.org/10.56028/aetr.1.15.93.2025    pp. 93-98 Abstract    This paper investigated the phenomenon of non-contact resistance by inserting a non-magnetic metal rod into an induction coil to explore the response changes of an LRC circuit. We focused on analyzing the changes in inductance when non-ferromagnetic materials (such as H59 brass) were inserted into t...   Download PDF
  • A Lightweight Rail Defect Detection Method Based on Improved YOLOv5

    Zongyao Wang,Zilong Lv,Jian Wang,Ronghui Bi    DOI:https://doi.org/10.56028/aetr.1.15.99.2025    pp. 99-104 Abstract    With the rapid development of railway transportation infrastructure, tracks serve as a critical component of the railway system, and their safety is essential for reliable train operations. This study proposes an efficient, lightweight defect detection method based on the YOLOv5 model, leveraging de...   Download PDF
  • Design and Application of an Smart Unmanned Monitoring and Control System for River Algal Bloom Management

    Qilong Li,Jian Wang,Hui Kong    DOI:https://doi.org/10.56028/aetr.1.15.105.2025    pp. 105-110 Abstract    Harmful algal blooms pose serious threats to aquatic ecosystems and public health, requiring new monitoring and intervention methods. This paper introduces a Smart USV system designed for autonomous monitoring and mitigation of algal blooms in rivers. The system combines a catamaran design with sens...   Download PDF
  • Preparation and Performance of CuMn2O4 Composite Oxygen Carrier for Chemical Looping Oxidative Dehydrogenation of Ethane

    Zhiyang Yu,Yongzhuo Liu    DOI:https://doi.org/10.56028/aetr.1.15.111.2025    pp. 111-117 Abstract    In chemical looping oxidative dehydrogenation (CL-ODH), an alkali metal molten shell material is typically employed to improve the reactivity of oxygen carrier. However, the existence of a molten shell necessitates reaction at a higher melting temperature than that of the shell itself, thereby incre...   Download PDF
  • Effect of torrefaction temperature on Reverse Chemical Looping Pyrolysis Characteristics of Pine Wood Biomass

    Wenyao Li,Yongzhuo Liu    DOI:https://doi.org/10.56028/aetr.1.15.118.2025    pp. 118-123 Abstract    Torrefaction treatments play a crucial role in upgrading the quality of pyrolysis bio-oils. In this study, the impact of torrefaction temperature (200, 230, 260, and 290°C) on the reverse chemical looping pyrolysis characteristics of pine wood biomass was investigated at 550°C. The findings revealed...   Download PDF
  • Thermal Design of Control Panel Systems

    Yang Liu,Qin Sun    DOI:https://doi.org/10.56028/aetr.1.15.124.2025    pp. 124-127 Abstract    With the miniaturization, integration, and modularization of aerospace avionics, the installation density of electronic components has significantly increased. Consequently, thermal design for electrical devices and heat dissipation problem in printed circuit boards (PCBs) has emerged as critical ch...   Download PDF
  • Lean Path to Reduce the Cost of Silk Consumption of Ultra-fine Cigarettes— — a Multi-dimensional Study Based on Six Sigma

    Yu Chen,Pingshu Shi,Yuchao Wang,Huali Zheng    DOI:https://doi.org/10.56028/aetr.1.15.128.2025    pp. 128-133 Abstract    In this paper, the optimization framework of Six Sigma method is proposed and applied to solve the problem of single cut tobacco consumption of ultra-fine cigarette in Z Company. VSM was used to sort out the production process comprehensively, and FMEA was used to identify the key factors affecting ...   Download PDF
  • Blockchain-Based Pharmacovigilance Framework: Enhancing Drug Safety Through Distributed Ledger Technology

    Jiaxuan Wei,Yue Cai,Jiaying Tao    DOI:https://doi.org/10.56028/aetr.1.15.134.2025    pp. 134-139 Abstract    The study proposes a blockchain-based framework to overcome the challenges of data silos, privacy risks, and interoperability limitations in pharmacovigilance systems, focusing on the refinement of adverse drug reaction (ADR) data collection, storage, and analysis. Incorporating blockchain's tr...   Download PDF
  • Valuing Attributes of Ski Resorts Based on the Ski Tourists’ Satisfaction

    Yang Yu,Li Guo,Erda Wang,Xiaolin Zhu    DOI:https://doi.org/10.56028/aetr.1.15.140.2025    pp. 140-147 Abstract    Skiing tourism is a popular sport and leisure activity worldwide. Numerous studies have looked at various issues related to ski tourism, including aspects of ski tourists’ health, sociology, psychology, environmental pollution, and marketing. However, few studies made efforts on valuing the attribut...   Download PDF
  • Study on Heat Transfer Problems of Gas Pendulum Inclination Sensor

    Yonghong Zheng,Zhen Song    DOI:https://doi.org/10.56028/aetr.1.15.148.2025    pp. 148-152 Abstract    According to different mechanisms of thermal conduction, natural convection and heat radiation, relevant physical models are established for the heat transfer of the sensing organ. Based on these models, the heat transfers of conduction, convection and radiation of...   Download PDF
  • Microglia and neuroinflammation: the key drivers of sepsis-associated encephalopathy

    Yanlin Xue    DOI:https://doi.org/10.56028/aetr.1.15.153.2025    pp. 153-167 Abstract    Sepsis is a serious global health issue, and sepsis-associated encephalopathy (SAE) is one of the early complications of sepsis, with symptoms including neuronal and synaptic dysfunction, cognitive dysfunction and brain damage. Neuroinflammation has been identified as a significant pathogenic mechan...   Download PDF
  • Deformation of existing metro tunnels under close and complex construction disturbances: Case study

    Zhiyuan Zhang,Binqing Zhan,Xiaoxia Zhao,Zhicheng Bai,Shenshen Zhu,Xing Gao    DOI:https://doi.org/10.56028/aetr.1.15.168.2025    pp. 168-178 Abstract    This paper investigates deformation mechanisms of operational metro shield tunnels induced by adjacent collinear excavation through a case study of the Hangzhou Grand Convention & Exhibition Center project. A 31-month monitoring program systematically captured tunnel displacement evolution,...   Download PDF
  • A Dynamic Graph Model-Based Method for Special Equipment Resource Scheduling

    Lei Qin,Zhen Meng,Yu Hu    DOI:https://doi.org/10.56028/aetr.1.15.179.2025    pp. 179-184 Abstract    As a critical component for ensuring safety in major events, special equipment resource scheduling faces challenges like dynamic status changes, environmental disturbances, and multi-entity collaboration, making traditional static methods insufficient for real-time response. This paper proposes a dy...   Download PDF
  • Imitation Learning of Jamming Strategies Under Low-Quality Expert Database Conditions

    Tianjian Yang,Siyi Cheng,You Chen,Dejiang Lu,Xing Wang,Wei Liu,Haoyang Li,Xi Zhang    DOI:https://doi.org/10.56028/aetr.1.15.185.2025    pp. 185-196 Abstract    This paper proposes an improved generative adversarial imitation learning (GAIL) method for multi-functional radar (MFR) jamming decision-making, addressing the poor initial jamming effect of traditional deep reinforcement learning (DRL) and the high database quality requirement of basic G...   Download PDF
  • Short-Circuit Performance Evaluation of Composite-Core Transformer Windings

    Wenzhuo Sha    DOI:https://doi.org/10.56028/aetr.1.15.197.2025    pp. 197-202 Abstract    Power transformers serve as critical equipment for voltage level conversion in power grids. Short-circuit faults in distribution transformers can lead to severe winding damage, making the analysis of short-circuit withstand capability an essential research aspect. This paper investigates the short-c...   Download PDF
  • A Review of Modern Missile Design

    Tinghe Bai    DOI:https://doi.org/10.56028/aetr.1.15.203.2025    pp. 203-206 Abstract     This study examines the aerodynamic layout design of air-to-air missiles, focusing on the trade-offs between range, maneuverability, and combat effectiveness in short-range infrared (IR) and medium-range radar-guided missiles. The research analyzes historical case studies such as AIM-9 Sidewin...   Download PDF
  • Optimal Airport Resource Allocation for Security Check Based on Queuing Theory

    Lang Xiong,Ruihao Dai    DOI:https://doi.org/10.56028/aetr.1.15.207.2025    pp. 207-213 Abstract    We study the efficiency of security check and propose an optimal method about airport resources for security check in this paper. First, we examine the process of security check at airports, and utilize the queuing theory to construct the queuing model and calculate the relevant indicators of the qu...   Download PDF
  • Self-calibration Algorithm of Kruppa Equation Based on Planar Motion Constraints

    Ziqin Dai,Tao Li,Weimin Lv,Liang Liu    DOI:https://doi.org/10.56028/aetr.1.15.214.2025    pp. 214-220 Abstract    Camera calibration is a key technology in computer vision. Traditional methods rely on calibration objects or precise control of camera motion, which limits their application in unknown environments. Self-calibration techniques estimate camera intrinsic parameters using geometric constraints from mu...   Download PDF
  • Research on the mechanism of social media-driven ecological governance under the three dimensions of environmental justice —— Multi-dimensional analysis of Qinghai Muli coal mine incident

    Yiying Zhao    DOI:https://doi.org/10.56028/aetr.1.15.221.2025    pp. 221-225 Abstract    In global environmental governance, problems such as information monopoly and marginalization of vulnerable groups have become increasingly prominent. These problems have limited the public's awareness of environmental issues and their effective participation in environmental decision-making, furthe...   Download PDF
  • AI-Based Diagnosis of Small Pulmonary Nodules on CT Imaging: Current Status and Future Prospects

    Yuanchunsu Tan    DOI:https://doi.org/10.56028/aetr.1.15.226.2025    pp. 226-233 Abstract    The early and accurate diagnosis of small pulmonary nodules (typically defined as nodules with a diameter ≤10 mm) is crucial for improving the survival rate of lung cancer patients. However, their detection and differentiation pose numerous clinical challenges. Artificial intelligence (AI), particul...   Download PDF
  • An Efficiency Evaluation Method

    Yong Sun,Haimin Zhang,Ruiping Zhang,Rong Hu,Zhisong Wang,Junsong Huang,Xiaorang Liu,Guochuan Yin    DOI:https://doi.org/10.56028/aetr.1.15.234.2025    pp. 234-240 Abstract    This article proposes a method for evaluating damage effectiveness, which includes methods for calculating missile target intersection, calculating damage effectiveness, analyzing damage effectiveness, and characterizing damage effectiveness. The calculation method for missile target intersection in...   Download PDF
  • Performance Study of UV-C LED Water Disinfection Modules

    Eason Liao,Xiaoxiao Wang,Qing Zhang,Shuzhong Li,Jiancheng Wang    DOI:https://doi.org/10.56028/aetr.1.15.241.2025    pp. 241-246 Abstract    This study systematically investigates the performance optimization of UV-C LED water disinfection modules, focusing on the effects of heat dissipation materials, driving current, and optical structure design on sterilization efficiency. The results demonstrate that copper substrates significantly r...   Download PDF
  • Effect of a p-6P Induced Layer on the Optoelectronic Performance of Organic Field-Effect Transistors

    Wenwen Li,Shiguang Li,Zhao Zhang,Zitong Wang    DOI:https://doi.org/10.56028/aetr.1.15.247.2025    pp. 247-252 Abstract    This study investigated the electrical and photosensitive properties of organic field-effect transistors (OFETs) using para-hexaphenyl (p-6P) as induction layers. The widely researched pentacene was employed as the active layer in these devices. Pentacene thin films were epitaxially grown on p-...   Download PDF
  • Civil Aircraft Cabin Pressure System Decompression Calculation and Analysis

    Zheng Bian    DOI:https://doi.org/10.56028/aetr.1.15.253.2025    pp. 253-258 Abstract    This paper presents a comprehensive analysis of decompression scenarios in civil aircraft cabin pressure systems, focusing on calculation methodologies and safety assessments. The study addresses potential risks arising from structural breaches, pressure regulation failures, and supply system malfun...   Download PDF
  • Research on the Evaluation Indicator System for Dynamic Transition in Grid Enterprises' Economic Activities

    Qing Liu,Lijie Guo,Xiang Wang,Peipei You,Lili Zhang,Shanshan Wu,Chuanlong Xu,Jiaying Zhang,Qingkun Tan    DOI:https://doi.org/10.56028/aetr.1.15.259.2025    pp. 259-268 Abstract    Under the strategic backdrop of China's deepening supply-side structural reform and energy revolution, the dynamic transition between traditional and new driving forces has emerged as a crucial pathway for achieving high-quality development in the energy and power sector. This study constructs a dyn...   Download PDF
  • Research on FOPI control of high bypass ratio turbofan engine based on Min-Max architecture

    Renhao Zhang,Jianglong Lin,Zhenghong Han    DOI:https://doi.org/10.56028/aetr.1.15.269.2025    pp. 269-276 Abstract    For efficient control of a high bypass ratio turbofan engine, it is desirable that the engine operate as close as possible along its engine limits. With the continuous development of the engine, the performance requirements, especially the response speed, are becoming more and more stringent, and th...   Download PDF
  • Comprehensive Assessment Method for Aero-Engine Performance and Risk Based on Emergency Operating

    Shimeng Cui,Sirui Pan,Zhenghong Han    DOI:https://doi.org/10.56028/aetr.1.15.277.2025    pp. 277-282 Abstract    To improve the response performance of aircraft engines under emergency operating conditions, this article proposes a comprehensive performance and risk assessment method based on the release of limit protection parameters. The method introduces quantitative indicators such as limit exceedance rate ...   Download PDF
  • Design and Performance Optimization of Rectangular Air Duct Cleaning Robot

    Haifeng Zhang,Dongyan Shi,Yuguang Zhong,Jiuqiang Wang    DOI:https://doi.org/10.56028/aetr.1.15.283.2025    pp. 283-290 Abstract    The widespread adoption of central air conditioning systems has made pipe cleaning a key component in maintaining indoor air quality. However, traditional cleaning robots face numerous challenges that hinder their large-scale deployment. In this study, we designed a rectangular pipe cleaning robot a...   Download PDF
  • A Wav2Vec2 and Multi-Head Attention Based Framework for Pronunciation Error Detection in Tibetan Mandarin Learners

    Zhenye Gan,Ming Wang,Le Wei    DOI:https://doi.org/10.56028/aetr.1.15.291.2025    pp. 291-296 Abstract    Aiming at the systematic pronunciation bias problem of Tibetan native speakers when learning Mandarin Chinese, this paper proposes an end-to-end detection method based on the self-supervised learning Wav2Vec 2.0 model fusing the multi-head self-attention mechanism (MHA) with a CTC decoder. The model...   Download PDF
  • Improving Gold Ore Classification Efficiency and Flotation Performance Based on Screening Classification Method

    Ning Xu,Tao Guan,Zhihai Huang,Hao Guo,Jian Kang,Xingwei Song,Shiming Cao,Yujia Wang    DOI:https://doi.org/10.56028/aetr.1.15.297.2025    pp. 297-303 Abstract    The hydrocyclone is currently the most commonly used classification device in gold ore processing. However, its efficiency is limited by both its operating principles and structural design, making further improvement in classification performance difficult. In recent years, high-frequency vibrating ...   Download PDF
  • Research on Data Platform Construction Methods for Multi-Business Group Enterprises

    Mingming Dong,Jianjun Lin,Zuyi Hao,Bo Li,Lihua Gao    DOI:https://doi.org/10.56028/aetr.1.15.304.2025    pp. 304-310 Abstract    With the rapid development of digital technologies, accelerating digital construction and transformation has become an urgent priority for enterprises. The core of digital transformation lies in data-driven business innovation and growth. However, many multi-business group enterprises face significa...   Download PDF
  • Accelerate the AHP Method by Indicator SubGroup

    Jing Li    DOI:https://doi.org/10.56028/aetr.1.15.311.2025    pp. 311-316 Abstract    The Analytic Hierarchy Process (AHP) method is an effective and commonly used approach for determining indicator weights in an index system. It establishes weights for each indicator through pairwise comparisons and specific algorithms. However, AHP faces three main challenges: (1) Difficulty in pre...   Download PDF
  • Mechanisms of Salt Tolerance in Brassica napus, Soybean and Chenopodium quinoa: Implications for Sustainable Agriculture in Saline-Alkali Soils

    Hu Liu,Jian Wang,Qi Wang,Hongfang Li,Hui Zhou,Weidong Xi,Lei Gao    DOI:https://doi.org/10.56028/aetr.1.15.317.2025    pp. 317-322 Abstract    This study investigated the physiological responses of three salt-tolerant crops (Brassica napus, soybean, and Chenopodium quinoa) to varying salt stress levels (control, mild, moderate, severe) under controlled conditions. Experimental data revealed a pronounced suppression of both germination and ...   Download PDF
  • The Finite Element Simulation Analysis and Modeling Method of the Influence of Cable Pretension Force on the Vibration of Marine Winches

    Nanyan Zhou,Chaochao Jin    DOI:https://doi.org/10.56028/aetr.1.15.323.2025    pp. 323-330 Abstract    Marine winches are prone to vibration issues in dynamic marine environments due to the mechanical behavior of cables, which can affect the stability and safety of the equipment. This study, based on finite element simulation technology, proposes a refined modeling method for the cable-winching syste...   Download PDF
  • Discussion on the methods to decrease Kd/Ks of rubber vibration isolation

    Junfeng Yang,Yongsheng Peng,Haitao Li,Guopei Pan    DOI:https://doi.org/10.56028/aetr.1.15.331.2025    pp. 331-336 Abstract    Static and dynamic properties of rubber vibration isolation is the main problem in the design of rubber formula now. Relation between strength creep of rubber and Kd/Ks of isolation through the experiment. Kd/Ks decreases with the increasing of tensile strength at 200%. Some chemistry methods t...   Download PDF
  • Construction of hydrogen bond mediated nitrogen doped carbon quantum dot fluorescent probe and its application in trace detection of ibuprofen in water

    Jiexin Wang,Yumei Li    DOI:https://doi.org/10.56028/aetr.1.15.337.2025    pp. 337-341 Abstract    To address the residual pollution of ibuprofen in aquatic environments, this study developed a fluorescent probe based on nitrogen doped carbon quantum dots (NCQDs) as the core material, which can achieve ultra sensitive detection. By optimizing hydrothermal synthesis conditions, NCQDs with uniform ...   Download PDF
  • Electrical Stimulation Enhance Neural Regeneration and Locomotor Function in Complete Spinal Cord Injury of Rats

    Aihua Wang,Tongtong Zhao,Lei Wang,Yanyan Chen    DOI:https://doi.org/10.56028/aetr.1.15.342.2025    pp. 342-350 Abstract    Spinal cord injury (SCI) leads to devastating functional loss, partly due to a hostile post-injury microenvironment characterized by detrimental events like excessive calcium influx and apoptosis, which also limit the efficacy of reparative strategies such as neural tissue transplantation. It has be...   Download PDF
  • Analysis of slope instability induced by heavy rainfall on a highway

    Bo Sha,Ningyang Feng,Xiaogang Liu,Chengqiang Wang,Yanfu Guo,Xiaolong Liu,Yingna Hu,Bangxin Zhang    DOI:https://doi.org/10.56028/aetr.1.15.351.2025    pp. 351-357 Abstract    Recent heavy rainfall has resulted in a risk of instability on the side slopes of a highway. Using simulation software to construct a finite element analysis model of the slope, the calculated slope stability coefficient does not meet the specification requirements, indicating that the slope is in a...   Download PDF
  • Computational Modeling of Urban Building Complexes for Earthquake Early Warning: A Finite Element Approach

    Yihan Wei    DOI:https://doi.org/10.56028/aetr.1.15.358.2025    pp. 358-368 Abstract    Urban population is particularly at risk due to the fact that the structural strength of buildings may be also seriously damaged when subjected to an earthquake. The present work is to provide a numerical formulation that achieves the desired outcome of providing an approach to the prediction of str...   Download PDF
  • Research on Radar Full-Pulse Data Sorting Algorithm Based on PRI Transform

    Xing Chen,Zheping Zhang,Xiaoxing Feng    DOI:https://doi.org/10.56028/aetr.1.15.369.2025    pp. 369-373 Abstract    Aiming at the problem of radar signal sorting in complex electromagnetic environments, this paper studies a full-pulse data sorting algorithm based on Pulse Repetition Interval (PRI) transform. By introducing a complex phase accumulation mechanism to suppress subharmonic interference and combining a...   Download PDF
  • Comprehensive Credit Rating Method for Civil Aviation Supply Chain Enterprises Based on Dual-Model Fusion

    Wei Lin,Yiwen Zhang,Tantan Chen,Liang Li,Jiehao Zheng,Jing Li    DOI:https://doi.org/10.56028/aetr.1.15.374.2025    pp. 374-384 Abstract    Traditional enterprise credit rating models have limitations such as insufficient industry adaptability and singular risk indicators, which make them inapplicable to the credit rating of civil aviation supply chain enterprises in business financing scenarios. This paper proposes a comprehensive cred...   Download PDF
  • Research on Laser Counterfeit Command Attack Mechanisms for In-vehicle Voice Interfaces in Intelligent Connected Vehicles

    Quanrui Huo,Yuqiao Ning,Zhen Guo    DOI:https://doi.org/10.56028/aetr.1.15.385.2025    pp. 385-391 Abstract    With the evolution of human-machine interaction in intelligent connected vehicle (ICV), voice control has become a core feature. However, the associated security risks are increasingly evident, particularly remote, covert audio injection attacks such as laser voice attacks, which can bypass traditio...   Download PDF
  • Prediction model for three rate values of raw materials for grinding based on xgboost

    Yifan Wang,Xiaohong Wang,Hongliang Yu,Zhonghua Li,Liqing Deng    DOI:https://doi.org/10.56028/aetr.1.15.392.2025    pp. 392-398 Abstract    In cement production, the quality of raw meal formulation directly impacts cement quality and kiln system stability. Traditional methods often result in inconsistent raw meal quality due to nonlinearity, time delays, and material composition fluctuations.This study develops an XGBoost-based predicti...   Download PDF
  • Carbon-based Materials for Sustainable Soil Salinity Management: Mechanisms, Modeling, and Applications in the Era of New Energy

    Qi Wang,Hu Liu,Jian Wang,Hongfang Li,Hui Zhou,Weidong Xi,Lei Gao    DOI:https://doi.org/10.56028/aetr.1.15.399.2025    pp. 399-404 Abstract    The study of soil water-salt transport mechanisms is of great significance for salinity control and sustainable agricultural development. In recent years, carbon-based materials (e.g., biochar, straw-derived charcoal) have significantly enhanced the water infiltration capacity and desalination effic...   Download PDF
  • Study on Thermo-Mechanical Treatment for Strength-Toughness Regulation in Aerospace Al-Li Alloys

    Jiaguo Tang,Moubing Wu,Hailiang Jin,Youping Yi    DOI:https://doi.org/10.56028/aetr.1.15.405.2025    pp. 405-410 Abstract    Aluminum-lithium (Al-Li) alloys have emerged as critical structural materials for airframe lightweighting, fuel efficiency improvement, and flight performance enhancement due to their exceptional combination of low density, high strength, and superior toughness. Thermo-mechanical treatment plays a p...   Download PDF
  • Protective Effect of Tricholoma Matsutake Extract on Alcoholic Liver Disease Based on Zebrafish Model

    Ning-Jing Jiang,Yi-Mei Ding,Ming-Fang He    DOI:https://doi.org/10.56028/aetr.1.15.411.2025    pp. 411-420 Abstract    In China, average alcohol intake and alcoholic liver disease (ALD) incidence have demonstrated escalating trends, yet the diagnostic and therapeutic infrastructure for ALD remains underdeveloped. At present, there are still some problems in the therapeutic drugs of alcoholic liver disease, such as p...   Download PDF
  • Generation and Confirmation of Human TAL2 Transgenic Drosophila Model

    Zhihao Wei,Hongchao Liu,Yajun Yang,Mengting Liu    DOI:https://doi.org/10.56028/aetr.1.15.421.2025    pp. 421-430 Abstract    TAL2 is a transcription factor of the basic helix-loop-helix (bHLH) family. TAL2 may be an oncogene that is overexpressed as a consequence of the chromosomal translocation in T-cell acute lymphoblastic leukemia. Recent studies have indicated that TAL2 involved in development of many tumors. Alt...   Download PDF
  • Laboratory research and evaluation of geopolymer cement working fluid system

    Xiaolin Li,Qike Wang,Yixin Xu,Ben Qi,Shenglai Guo    DOI:https://doi.org/10.56028/aetr.1.15.431.2025    pp. 431-437 Abstract    The Portland cement production process has some problems such as high energy consumption and high CO2 emissions, and the Portland cement has defects such as high brittleness, poor toughness, and poor corrosion resistance. In comparison, geopolymer has the characteristics of wide source of raw m...   Download PDF
  • Suppressing the Lattice Oxygen Release by Al-Doped in Li-Rich Mn-Based Layered Materials

    Ziqi Xie,Hongjin Zhong,Zixuan Fang,Mengqiang Wu    DOI:https://doi.org/10.56028/aetr.1.15.438.2025    pp. 438-443 Abstract    Li-rich Mn-based layered materials (LRMs) are regarded as one of the most promising cathode materials due to their superior discharge specific-capacity. However, the irreversible lattice oxygen loss in LRMs at high voltages (>4.5 V) leads to their poor structural stability and slow Li+ dif...   Download PDF
  • Reinforced Transport Kinetics and Structural Stability of Micron-Si Anode In PVDF-Based Composite Solid-State Batteries via Single-Walled Long Carbon Nanotubes

    Zikai Li,Tong Zhang,Zixuan Fang,Haiping Zhou,Mengqiang Wu    DOI:https://doi.org/10.56028/aetr.1.15.444.2025    pp. 444-449 Abstract    Silicon-based anode solid‑state batteries are among the most promising systems for simultaneously achieving high energy density and enhanced safety. However, silicon anodes suffer from severe loss of electronic contact in low–electrolyte or electrolyte‑free environments due to their substantial volu...   Download PDF
  • Study on Static Load Sharing Characteristics of Coaxial Reversal Herringbone Gear Transmission System Considering Error

    Haoqin Zhang,Lan Liu,Siyao Li,Zhengwei Lu,Jingyi Gong,Geng Liu    DOI:https://doi.org/10.56028/aetr.1.15.450.2025    pp. 450-456 Abstract    In the current high-speed helicopter main reducer, coaxial reversal herringbone gear transmission system (CRHGTS) has the advantages of light weight, high stability and long service life. In order to study the static load sharing characteristics of coaxial reversal herringbone gear transmission syst...   Download PDF
  • Design and Development of an Automatic Oil Injection Fixture Device for Hydraulic Shock Absorbers

    Ruikai Song,Zhangrui Dou,Yubo Yang    DOI:https://doi.org/10.56028/aetr.1.15.457.2025    pp. 457-462 Abstract    As a critical component of rail trains, the hydraulic shock absorber currently relies on manual operation for the oil filling process, which presents issues such as low efficiency and high labor intensity. This paper adopts an integrated approach of digital modeling design and verification analysis ...   Download PDF
  • Parameters optimization of gas-water pulsed flow for cleaning plate heat exchanger

    Hanqing Shi    DOI:https://doi.org/10.56028/aetr.1.15.463.2025    pp. 463-467 Abstract    With the development of industry and the increase of energy consumption, plate heat exchangers have been widely used across various sectors due to their efficient heat exchange performance.  Focusing on the application of gas-water pulse jet in plate heat exchanger cleaning, this paper focuses ...   Download PDF
  • A Fault-Tolerant Network Design Based on Distributed Control System

    Xiaoyu Ding,Muxuan Pan,Tao Ding    DOI:https://doi.org/10.56028/aetr.1.15.468.2025    pp. 468-475 Abstract    Reliability is a critical factor in communication network design of distributed control systems. To address the insufficient fault tolerance of traditional bus networks in aero-engine applications, this paper proposes a fault-tolerant network design scheme based on a braided-ring topology. Smart&nbs...   Download PDF
  • Intelligent sensor-based multi-fault diagnosis of aero-engines using scattering characteristics

    Junnan Cui,Muxuan Pan    DOI:https://doi.org/10.56028/aetr.1.15.476.2025    pp. 476-486 Abstract    To address the problem of insufficient real-time fault diagnosis accuracy in distributed intelligent sensors for aero-engine systems under multiple coexisting fault modes and limited computational resources, an intelligent sensor fault diagnosis method based on local data scattering feature optimiza...   Download PDF
  • Analysis of the "neck up" and "tail down" effects brought about by the development of high proportion of renewables

    Shengyu Wu,Junshu Feng,Cong Wu    DOI:https://doi.org/10.56028/aetr.1.15.487.2025    pp. 487-495 Abstract    As the proportion of new energy in the power supply structure continues to increase, the supply capacity and adjustment capacity demand of the power system will change greatly, and the net load curve will show the characteristics of "neck" and "tail". In addition, large-scale new energy access has a...   Download PDF
  • Research on Unified Cognitive System of Renewable Energy Utilization Rate

    Junshu Feng,Shengyu Wu,Fuqiang Zhang,Xu Tian,Liantao Liu,Fei Liu,Fei Peng    DOI:https://doi.org/10.56028/aetr.1.15.496.2025    pp. 496-500 Abstract    China’s requirements of renewable energy utilization rate target have greatly promoted vigorous development of renewable energy industry and rapid increase of its scale. But with further increase of renewable energy’ proportion, strictly maintaining this target will bring negative effects. This pape...   Download PDF
  • Study on temporal and spatial evolution characteristics of surface water in Taolai River Basin based on random forest algorithm

    Fenhua Li,Wenju Yang,Dekui Kang    DOI:https://doi.org/10.56028/aetr.1.15.501.2025    pp. 501-509 Abstract    The Taolai River Basin is a typical arid area in Northwest China.In order to accurately grasp the spatial distribution and dynamic changes of surface water in the Taolai River Basin, the spatial and temporal evolution sources of surface water in the study area were explored. In this study, the rando...   Download PDF
  • Characterization of Green Development Level Measurement and Spatial and Temporal Evolution of Beijing-Tianjin-Hebei Cities under the "Dual Carbon" Goal

    Jieting Yin,Junfeng Yuan    DOI:https://doi.org/10.56028/aetr.1.15.510.2025    pp. 510-521 Abstract    This paper takes 13 prefectural-level cities in Beijing-Tianjin-Hebei as research samples, constructs a green development evaluation index system for urban agglomerations from the four dimensions of scientific and technological innovation, economic growth, green life and green "double carbon", and a...   Download PDF
  • Analysis of heat transfer characteristics of induced vibration of elastic tube beam of heat exchanger

    Xinyang Yu    DOI:https://doi.org/10.56028/aetr.1.15.522.2025    pp. 522-528 Abstract    Elastic tube bundle heat exchanger uses fluid induced elastic tube bundle vibration to achieve passive enhanced heat transfer. Due to the structural characteristics of traditional flat elastic tube bundle, the heat exchange area per unit volume in the heat exchanger is small and the comprehensive he...   Download PDF
  • Optimal algorithm of mean radiant temperature in mine roadway based on Monte Carlo method

    Zhangyu Chang,Jinxing Hu,Jiyao Yin,Jingwei Ji    DOI:https://doi.org/10.56028/aetr.1.15.529.2025    pp. 529-540 Abstract    With the shallow deposit resources decreasing, the mining depth gradually increases, resulting in more and more high-temperature mines with heat damage. The mean radiant temperature is taken as an important parameter to calculate and evaluate the thermal comfort in high-temperature mine roadway. The...   Download PDF
  • Study on Cylinder-to-Cylinder Nonuniformity of Heavy-Duty Spark-Ignited Methanol Engine under Cold Start Idle Mode

    Mengfan Jin,Hua Tian,Yongjian Wang,Jingchen Cui,Wuqiang Long    DOI:https://doi.org/10.56028/aetr.1.15.541.2025    pp. 541-549 Abstract    The cylinder-to-cylinder nonuniformity problem of a V8 heavy duty methanol engine under cold start idle mode is investigated in this paper. A data acquisition program for collecting the original signal of the engine speed was designed using Labview graphical programming software. Combined with NI da...   Download PDF
  • Research on Pressure of Dike Leakage Hole Inlet Closure

    Guoqing Yu,Shuxia Li,Chenchen Li    DOI:https://doi.org/10.56028/aetr.1.15.550.2025    pp. 550-556 Abstract    When the leakage inlet of a levee embankment is sealed, a transient flow similar to "water hammer" occurs, and the instantaneous cyclic changes in pressure can cause deformation or damage to the sealing material. At the same time, it can cause the alternating expansion and compression of the soil in...   Download PDF
  • Research on the prediction of foundation settlement by BP neural network

    Hongbin Ge,Changjian Su,Haiwang Liu,Zhaoyun Xiao,Haojie Zhu,Yuwan Liang    DOI:https://doi.org/10.56028/aetr.1.15.557.2025    pp. 557-563 Abstract    To accurately predict the change of foundation settlement after surcharge preloading treatment, taking the surcharge preloading engineering area of an airport as an example, a foundation settlement prediction model based on BP neural network is constructed. Using two sets of field measured settlemen...   Download PDF
  • Synthesis of a new type of pour point depressant and its effect on the rheological properties of model wax oil

    Zilong Li,Fei Yang    DOI:https://doi.org/10.56028/aetr.1.15.564.2025    pp. 564-568 Abstract    Graft modification of commercial EVA PPDs to prepare new PPDs with high performance is a research hotspot in the crude oil pipelining industry. However, the acting law and mechanism of the grafted EVA PPDs were still unclear. In this paper, based on commercial EVA PPD (EVA2803), EVA-18 with side alk...   Download PDF
  • A blockage detection model based on the pressure wave method for natural gas condensate pipelines

    Zhenglai Tian,Xiaoming Luo    DOI:https://doi.org/10.56028/aetr.1.15.569.2025    pp. 569-574 Abstract    To address the precision constraints of conventional pressure wave models in complex subsea gas condensate pipeline environments, this research proposes an obstruction localization technique incorporating both wave speed adjustment and valve parameter refinement. The approach employs pressure transi...   Download PDF
  • Prediction of Wax Deposition in Shale Oil Multiphase Pipelines

    Xiaoming Luo,Da Cao,Shengde Di    DOI:https://doi.org/10.56028/aetr.1.15.575.2025    pp. 575-580 Abstract    To tackle flow safety challenges arising from paraffin deposition in low-temperature shale oil multiphase conveying systems, this study establishes a multi-physics coupled model for predicting wax layer growth. The proposed modeling framework integrates a steady-state two-fluid model with thermodyna...   Download PDF
  • Research Progress of Underwater Gas-liquid Separation and Pressurization Technology and Equipment

    Weidi Li,Xiaoming Luo    DOI:https://doi.org/10.56028/aetr.1.15.581.2025    pp. 581-587 Abstract    In recent years, in order to solve the problems of low reservoir pressure, high back pressure at the wellhead, hydrate clogging and high viscosity of oil in the extraction of subsea oil and gas fields, the industry is researching and developing new gas-liquid separation and pressurized transport tec...   Download PDF
  • Finite element analysis of high-speed catamaran structure in beam waves

    Yuyang Zhang,Zhipeng Deng,Jinglei Yang    DOI:https://doi.org/10.56028/aetr.1.15.588.2025    pp. 588-598 Abstract    In this work, the computational fluid dynamics (CFD) and finite element analysis (FEA) method was used to study the structural stresses of an aluminum alloy catamaran sailing at the speed of 10.5m/s in beam waves, to investigate the characteristics of stresses and deformations by one-way fluid-struc...   Download PDF
  • Integrated wind energy storage microgrid stability research

    Xin Yang,Zhiqiang Xu,Junxian Lin    DOI:https://doi.org/10.56028/aetr.1.15.599.2025    pp. 599-604 Abstract    With the ongoing advancement of new energy microgrid systems,the structure of microgrid systems is progressively evolving towards complexity and multi-functionality. The incorporation of new power electronic devices has brought forth new challenges to the stability of microgrid operation. This paper...   Download PDF
  • A new method-improved yolov5 for detection of the marine

    Xingkun Li,Guodong Chen,Fengguang Jia,Ziyang Wang    DOI:https://doi.org/10.56028/aetr.1.15.605.2025    pp. 605-611 Abstract    Due to the particularity of underwater environment, such as uneven distribution of light, interference caused by various underwater noises to imaging, and weak target features caused by the protective colors of underwater organisms themselves, the existing target detection technology is not ideal in...   Download PDF
  • Fragmentation Atomization Mechanisms in Subsonic Cross-Flow

    Xinyan Wang,Jiahui Zhong,Xinjun Zhao,Guang Xian    DOI:https://doi.org/10.56028/aetr.1.15.612.2025    pp. 612-618 Abstract    An accurate numerical simulation of fuel atomization is realized in preparation for the study of kerosene propellant fragmentation atomization and development process under subsonic conditions in the presence of a transverse air stream. Under 11 subsonic uniform incoming air mainstream velocity cond...   Download PDF
  • Hydrodynamic Performance Analysis of a High-Speed Catamaran Based on CFD

    Weijie Zhang,Jialin Wang,Yuting Zhang,Qinan Zhou,Xixian Ning,Zhongxiang Shen    DOI:https://doi.org/10.56028/aetr.1.15.619.2025    pp. 619-628 Abstract    This research uses the CFD software STAR-CCM+ to analyze the hydrodynamic performance of a particular aluminum alloy catamaran in order to investigate the accuracy of numerical simulation forecasts utilizing CFD technology. In order to simulate the ship's motion reaction in regular waves and its sti...   Download PDF
  • Effects of Surfactant Adsorption on Electro-osmotic Flow in Electro-kinetic Soil Remediation

    Zhenlei Zhang,Lei Zhu,Yudou Wang    DOI:https://doi.org/10.56028/aetr.1.15.629.2025    pp. 629-634 Abstract    This study investigates the impact of surfactant adsorption on electro-osmotic flow in a solid-liquid interface for electro-kinetic soil remediation. The surfactant saturation process and its effects on EOF were simulated by solving the Poisson-Nernst-Planck equation, the convective diffusion equati...   Download PDF
  • Pore Scale Study on Dissociation and Transportation of Methane Hydrate

    Xiaowei Zhang,Yanlong Guan,Yudou Wang    DOI:https://doi.org/10.56028/aetr.1.15.635.2025    pp. 635-642 Abstract    Methane hydrate, recognized as a promising clean energy resource, undergoes complex multiphase dynamics during dissociation, involving intricate interactions between fluid flow, heat transfer, and mass transport phenomena. It is crucial to explain its physical behavior in the dissociation process fr...   Download PDF
  • Influence of External Electric Field on the Primary Mechanisms of Kerogen

    Yanlong Guan,Xiaowei Zhang,Yudou Wang    DOI:https://doi.org/10.56028/aetr.1.15.643.2025    pp. 643-650 Abstract    The pyrolysis of kerogen, a critical step in hydrocarbon generation from oil shale, is profoundly affected by external stimuli, particularly thermal conditions and applied electric fields.  The complex molecular structure of kerogen, mainly composed of carbon, hydrogen, oxygen, nitrogen, and su...   Download PDF
  • A material balance based method of determining the proportion of shale adsorbed gas production

    Jinyou Dai,Yang Zhang,Daixin Chen,Shijia Zhao,Xiaoyu Xu    DOI:https://doi.org/10.56028/aetr.1.15.651.2025    pp. 651-656 Abstract    The production of shale adsorbed gas cannot be measured separately in the production process, and the method for determining the proportion of shale adsorbed gas output is insufficient. Desorption residual amount of adsorbed gas and free gas residual amount are introduced. Langmuir isothermal adsorp...   Download PDF
  • Study on Application of ADCP in Hydrology of Navigation Safety and Estuary Regulation

    Yanxiang Liu,Donghua Fan,Haichen Sui,Lili Yang,Hualuan Wang,Ying Gao,Xiaowei Yao    DOI:https://doi.org/10.56028/aetr.1.15.657.2025    pp. 657-662 Abstract    ADCP (Acoustic Doppler Current Profile) is a new type of current surveying sonar device and is used by acoustic wave Doppler Effect in the early 1980s, and it can measure the speed of relative underwater and the velocity of relative flow. ADCP has been applied widely in...   Download PDF
  • Analysis of Form Error caused by Thermal Effect in Single Point Diamond Turning Machine

    Yu Zhang    DOI:https://doi.org/10.56028/aetr.1.15.663.2025    pp. 663-669 Abstract    In a single point diamond turning machine, the workpiece inevitably develops an uneven temperature field, leading to surface deformation and subsequently affecting the form accuracy. In this paper, a Twyman-Green interferometer is constructed to measure the thermal deformation of workpiece surfaces....   Download PDF
  • Joint simulation method for ultra-wideband electromagnetic pulse irradiation effect on a certain type of anti-tank missile fuze

    Rong He,Chenyang Zhang,Shuai Chen,Xiangjin Zhang    DOI:https://doi.org/10.56028/aetr.1.15.670.2025    pp. 670-677 Abstract    Taking a certain type of anti-tank missile all-electronic safety system as the research object, based on the existing fuse model and circuit, using different simulation software to establish the excitation source and device model that meets the requirements, and using the joint simulation method to ...   Download PDF
  • Intelligent Joint Optimization of Detection and Guidance Based on Convex Optimization Pre-training

    Yuhang Guo,Chuanjun Li,Jingquan Ma    DOI:https://doi.org/10.56028/aetr.1.15.678.2025    pp. 678-687 Abstract    To address the challenges faced by traditional control methods in integrating the scheduling of detection and trajectory resources during the terminal guidance phase of hypersonic glide vehicles (HGVs), this paper proposes an intelligent joint optimization technique based on convex optimization pre-...   Download PDF
  • Evaluation method of star sensor's stray light suppression capability through signal-to-noise ratio chain modeling

    Wei Yan,Jierui Zhang    DOI:https://doi.org/10.56028/aetr.1.15.688.2025    pp. 688-694 Abstract    To achieve accurate assessment of star sensors' stray light suppression performance, this study develops a novel evaluation approach through integrating ultimate stellar magnitude detection tests with stray light analysis. The proposed methodology employs stellar vector signal-to-noise ratio (SNR) a...   Download PDF
  • Optimal Configuration of Shared Energy Storage in Multi-Microgrids

    Yining Zhang,Guanzhen Wang,Shucan Zhou,Xianfu Gong,Yong Lin,Weijie Wu,Suhua Lou    DOI:https://doi.org/10.56028/aetr.1.15.695.2025    pp. 695-708 Abstract    An optimization model is proposed in this paper to allocate shared energy storage within multi-microgrids (MMGs). The model comprehensively considers system operation costs, energy storage allocation costs, and incorporates tiered carbon trading costs into the optimization objective, aiming to ...   Download PDF
  • Preparation of Fe2O3/CC catalyst and its catalytic reduction performance of o-bromonitrobenzene

    Hui Fang,Ruishen Xie,Chundong Mi,Aiquan Jia,Qianfeng Zhang    DOI:https://doi.org/10.56028/aetr.1.15.709.2025    pp. 709-716 Abstract    o-Bromoaniline, as an important organic chemical raw material and intermediate, is widely used in the synthesis of pharmaceuticals, pesticides, dyes and functionalized polymers. There is an urgent need to develop green and efficient alternatives to traditional production methods due to high energy c...   Download PDF
  • Research on image segmentation method of steel slag layer in RH vacuum degassing

    Zhijie Yu,Tangyou Liu    DOI:https://doi.org/10.56028/aetr.1.15.717.2025    pp. 717-723 Abstract    In the RH vacuum degassing refining process, the measurement of the slag layer thickness is crucial. This paper provides a light-weight improved model on the basis of DeepLabv3+. Firstly, MobileNetV2 is used as the backbone network for feature extraction. This improves training efficiency and reduce...   Download PDF
  • Design and Implementation of Few-Mode Fiber Mode Decomposition and Beam Quality Measurement System Based on Deep Learning

    Jinao Yang,Xiaolin Tian,Jiachao Zhang,Minzhe Liu,Zhanrui Zhai,Feng Zhang,Yuxin Huang,Wei Yan    DOI:https://doi.org/10.56028/aetr.1.15.724.2025    pp. 724-730 Abstract    This paper presents the design and implementation of a deep learning technology-based characterization and analysis system for the output beam of a few-mode fiber, which is used for real-time monitoring of spot-related parameters in laser application systems. Based on an improved Convolutional Neura...   Download PDF
  • Numerical Simulation of In-situ Oil Shale Extraction via Electrical Resistance Heating

    Guangshuo Fu,Yudou Wang    DOI:https://doi.org/10.56028/aetr.1.15.731.2025    pp. 731-738 Abstract    Conventional heating methods for oil shale extraction are limited by restricted heating ranges and uneven temperature distribution. This study explores the feasibility of applying electrical resistance heating to oil shale production. The in-situ extraction process involves complex chemical reaction...   Download PDF
  • Design of Determination System of Machine-made Cigar Density based on Microwave Technology

    Jie Gao,Yang Deng,Xianghua Zeng,Jie Deng,Yang Feng,Chunmei Deng,Xiaolu Long,Shengjun Wang,Youyou Xie,Yuting Xu    DOI:https://doi.org/10.56028/aetr.1.15.739.2025    pp. 739-746 Abstract    In this study, a determination system for machine-made cigars density based on microwave technology was designed and implemented. Leveraging the penetrability of microwaves, this system can rapidly and non-destructively measure the density of cigars, effectively overcoming the limitations of traditi...   Download PDF
  • A Hybrid Vision Transformer-based Capsule Network for Radar Automatic Modulation Recognition

    Abdulrahman Al-Malahi,HanCong Feng,KaiLi Jiang,Bin Tang    DOI:https://doi.org/10.56028/aetr.1.15.747.2025    pp. 747-751 Abstract    In radar Automatic Modulation Recognition (AMR), Single neural networks fail to achieve a satisfactory recognition accuracy especially in low SNR conditions. In this paper, we propose a novel AMR framework called A Hybrid Vision Transformer-based Capsule Network (HVTCN) that integrates Vision Transf...   Download PDF
  • Research on the Influence Mechanism of Different Depth Peak Shaving Transformation Methods on the Peak Operation Characteristics of Cogeneration Units and the Decoupling Transformation of Heat and Power in Northern Regions

    Guanjun Fu,Cong Wu,Shengyu Wu    DOI:https://doi.org/10.56028/aetr.1.15.752.2025    pp. 752-758 Abstract    This study aims at the problem of insufficient peak shaving capacity of gas-fired cogeneration units under the background of the construction of the new power system in China, and systematically analyzes the influence mechanism of thermoelectric decoupling transformation technology and the peak oper...   Download PDF
  • Motion Simulation and Topology Optimization Design of a Mechanical Gripper Based on Creo Simulate 4.0

    Jianyuan Fang    DOI:https://doi.org/10.56028/aetr.1.15.759.2025    pp. 759-767 Abstract    To optimize the design of the gear mechanical gripper, this study begins with the creation of a schematic diagram of the mechanism using CAD software. The mechanical gripper was modeled in 3D and structurally designed using Creo Parametric 4.0, with relevant data imported into Creo Simulate 4.0 for ...   Download PDF
  • Study on technical model, ecological benefit and sustainable agricultural application of fish and vegetable symbiotic system

    Jiayi Zhu    DOI:https://doi.org/10.56028/aetr.1.15.768.2025    pp. 768-777 Abstract    As an integrated aquaponics system combining aquaculture and hydroponics, the Fish-Egg System (FES) achieves synergistic effects of fish waste recycling and water purification through microbial-mediated nitrogen-phosphorus conversion. This technology significantly reduces chemical fertilizer usage b...   Download PDF
  • Cancer Metabolic Reprogramming: From the Warburg Effect to Metabolic-Immune Regulation—Mechanistic Insights and Novel Targeted Therapeutic Strategies

    Jinchen Han    DOI:https://doi.org/10.56028/aetr.1.15.778.2025    pp. 778-788 Abstract    Cancer metabolism has been a benchmark of cancer cells. It has emerged as a critical area of cancer research decades ago, as it reprograms the traditional cellular metabolic cycles that facilitate cancer cells with rapid proliferation and resistance under stressful TME and immune surveillance. This ...   Download PDF
  • Speculation of Sn-Zn Alloy and Borosilicate-Bismuth glass on IR inhibition and Thermal performance of Polysiloxane Coatings

    Junhong Hu    DOI:https://doi.org/10.56028/aetr.1.15.789.2025    pp. 789-800 Abstract    The low infrared emissivity coating was formulated based on the use of the Sn-Zn (70:30) low melting alloy powder as the infrared functional filler, polysiloxane powder as organic binder, and the B2O3-SiO2-Bi2O3 poly component Glass coating powder, which served as the inorganic binder, respectively....   Download PDF
  • HPV Pathogenesis, Vaccines Mechanisms, and Prevention Strategies

    Liyu Liu    DOI:https://doi.org/10.56028/aetr.1.15.801.2025    pp. 801-810 Abstract    Cervical cancer has become a critical health menace to females, with half of which are caused by Human papillomaviruses. To prevent HPV infection and cervical cancer, HPV vaccination is the most effective known preventative measure. This article introduces the classification and pathogenic mechanism...   Download PDF
  • An Intelligent Ship Equipment Layout Design Method Based on the AEPSO Algorithm and Multiple Optimization Strategies

    Yanfei Bi    DOI:https://doi.org/10.56028/aetr.1.15.811.2025    pp. 811-822 Abstract     To address the limitations in ship equipment layout design (SELD), such as excessive reliance on expert experience, poor adaptability of traditional optimization algorithms, and susceptibility to local optima, this study proposes an intelligent layout method that integrates an adaptive enhance...   Download PDF
  • Eco-Tourism 2.0: Modeling the Path to Sustainable Growth in the Tourism Industry

    Yuxuan Chen,Yuze Li,Ziyue Yang    DOI:https://doi.org/10.56028/aetr.1.15.823.2025    pp. 823-835 Abstract    This paper presents a multi-objective optimization framework for addressing over-tourism by quantitatively evaluating the trade-offs among environmental pressure, economic returns, and social impacts. The framework incorporates two dynamic models: the Logistic growth model for modeling tourist inflo...   Download PDF
  • The Review of Mechanisms and Intervention Methods for Comorbidity of ADHD and Anxiety

    Yuhan Gong    DOI:https://doi.org/10.56028/aetr.1.15.836.2025    pp. 836-846 Abstract    Attention Deficit Hyperactivity Disorder (ADHD) and anxiety disorders represent significant psychological conditions that frequently co-occur, presenting substantial challenges for clinical diagnosis and treatment. However, critical gaps persist in the clinical application of mechanistic understandi...   Download PDF
  • Electric Motor Optimization Based On Artificial Intelligence

    Haoming Tan    DOI:https://doi.org/10.56028/aetr.1.15.847.2025    pp. 847-855 Abstract    High-performance electric motor systems are at the heart of renewable energy infrastructure and transportation. As their applications expand across electric vehicles (EVs), wind turbines, and rail networks, the demands on motor performance now encompass multiple engineering disciplines, including th...   Download PDF
  • Recent Research on MXene-based Flexible Wearable Sensors in the Fields of Sports and Health

    Hao Jiang    DOI:https://doi.org/10.56028/aetr.1.15.856.2025    pp. 856-866 Abstract     With the rapid development of smart wearable devices, flexible strain sensors have shown broad application prospects for their excellent flexibility, comfort and integration. Focusing on the latest research on MXene-based flexible wearable sensors, this paper systematically sorts out relevant ...   Download PDF
  • Coupling Relationship between Ground Collapse Fracture and Water-Conducting Fracture Zone Development

    WeiYe Li,Shuo Gao,FaZheng Liu,JiaJie Fan    DOI:https://doi.org/10.56028/aetr.1.15.867.2025    pp. 867-877 Abstract    The coupled development of ground collapse fissures and water-conducting fracture zones is the common hazard in mining areas, causing serious threats to mine water control and ecological safety. This study reviews the research progress on collapse fissures and water-conducting fracture zones in dome...   Download PDF
  • Progress of MXene-Based Fibers on Wearable Materials: Fabrication to the Functional Demonstration

    Feiyu Cao    DOI:https://doi.org/10.56028/aetr.1.15.878.2025    pp. 878-889 Abstract    With the ongoing development of more flexible, functional, user-integrated wearable electronics, MXene materials have attracted interest in their use as next-generation fiber-based systems because of their outstanding electrical conductivity, durability, and adjustable surface characteristics. The i...   Download PDF
  • An Integrated Prediction and Trajectory Planning Method for Mixed Traffic Environments

    Dongting Ge    DOI:https://doi.org/10.56028/aetr.1.15.890.2025    pp. 890-897 Abstract    Among the countless challenges confronting autonomous driving, a primary impediment to its real-world deployment lies in achieving safe and efficient decision-making and planning within dynamic and mixed traffic environments. The key to addressing this issue lies in the development of a sophisticate...   Download PDF
  • Carbon Dioxide Capture Technology Applications for Climate Change Mitigation: Policy Requirements, Practical Challenges, and Optimization Pathways

    Leqing Guan     DOI:https://doi.org/10.56028/aetr.1.15.898.2025    pp. 898-904 Abstract    Carbon dioxide (CO2) capture technology constitutes a critical pathway for mitigating global climate change and achieving carbon neutrality, with its primary objective being the reduction of atmospheric CO2 concentrations. Core methodologies encompass chemical absorption, physical adsorption, membra...   Download PDF
  • Frontier Integration and Innovation of Mathematical and Statistical Methods in Machine Learning and Image Processing

    Zining He    DOI:https://doi.org/10.56028/aetr.1.15.905.2025    pp. 905-911 Abstract    This paper provides a systematic review of how mathematical and statistical methods have played a theoretical guiding role in the fields of machine learning and image processing in recent years. The foundations of modelling and data processing methods are elaborated in detail around various core mat...   Download PDF
  • Toward a Sustainable Future of Electric Vehicles: Environmental Challenges, Battery Recycling, and Policy Recommendations

    HaoTeng Hung    DOI:https://doi.org/10.56028/aetr.1.15.912.2025    pp. 912-922 Abstract    While electric vehicles (EVs) offer environmental advantages by eliminating tailpipe emissions, their lifecycle presents significant sustainability concerns. The mining of key battery materials such as lithium, cobalt, and nickel often leads to environmental degradation and human rights violations, ...   Download PDF
  • Applications of Baseball Models in Slow Pitch Softball

    Ziting Yang    DOI:https://doi.org/10.56028/aetr.1.15.923.2025    pp. 923-927 Abstract     This study addresses the lack of physics-related research in youth slow-pitch softball by contrasting its ball sizes and ways of throwing with baseball, and applying mature physical methods (analysis for bats’ sweet spots, and force-based ball motion modeling). The research aims to provide the...   Download PDF
  • Aging Mechanisms and AI-Based Lifetime Prediction of Integrated Circuits

    Wenrui Zhao    DOI:https://doi.org/10.56028/aetr.1.15.928.2025    pp. 928-937 Abstract    Modern electronics use integrated circuits as their fundamental component to enable operations of autonomous vehicles, high-performance servers, and edge AI devices. The chips experience degradation through time because of stress-induced aging mechanisms, including Bias Temperature Instability (BTI)...   Download PDF
  • Investigating Bacterial Motion Near Walls in Low Reynolds Number Non-Newtonian Fluids

    Qitao Duan    DOI:https://doi.org/10.56028/aetr.1.15.938.2025    pp. 938-947 Abstract    Bacterial motion in non-Newtonian fluids is influenced by ciliary propulsion modes (push/pull), fluid rheological properties, and wall effects, with the interaction of these factors resulting in diverse movement behaviors. However, the quantitative mechanisms by which these factors affect the averag...   Download PDF
  • Rheology of Viscoelastic Fluids in Microfluidic: From Theoretical Research to Practical Applications

    Huan Wang    DOI:https://doi.org/10.56028/aetr.1.15.948.2025    pp. 948-954 Abstract    Viscoelastic fluids exhibit unique flow behaviors due to their combined elastic and viscous properties, which significantly influence particle dynamics in microfluidic systems. This review summarizing the underlying mechanisms, influencing factors, and potential applications. Additionally, we explor...   Download PDF
  • The Enhanced Oxygen Evolution Reaction Electrocatalytic Performance of Zr-Substituted nano-CeO2 with Algorithm-Assisted Optimization

    Roy Lu    DOI:https://doi.org/10.56028/aetr.1.15.955.2025    pp. 955-967 Abstract    Immediate research is needed on the possibility of developing noble-metal-free oxygen evolution reaction (OER) based electrocatalysts to develop sustainable, economical water-splitting technology. Improvement of rare-earth oxide and transition metal catalysts by compositional and process modificatio...   Download PDF
  • The Effect of Music and Sound on Plant Growth: A Comprehensive Review

    Lingyu Meng    DOI:https://doi.org/10.56028/aetr.1.15.968.2025    pp. 968-977 Abstract    The influence of music on living things is extensive, as it has been shown to enhance mood, improve cognitive abilities, and promote physical health. At the same time, people are also paying attention to the potential impact of music on plants. Studies have shown that plants can sense and respond to...   Download PDF
  • A Cyber Ethnography Research on Algorithm Power, Algorithm Resistance, and User Tactics of Platform Media

    Chuqi Xu    DOI:https://doi.org/10.56028/aetr.1.15.978.2025    pp. 978-987 Abstract    "Trending lists" have become an essential channel through which people can obtain information in the era of social media. "Trending list" is naturally accompanied by greater exposure to the event. Based on this, this study found that in the "trending list" process, the platform plays a key role depe...   Download PDF
  • A Review of the Classification and Application of Big Data Visualization Techniques

    Jianhao Yu    DOI:https://doi.org/10.56028/aetr.1.15.988.2025    pp. 988-998 Abstract    This article systematically categorizes the fundamental theories and technological developments in data visualization, providing a detailed introduction to the basic visualization methods for various types of data, including spatiotemporal data, geographic information data, time series data, associa...   Download PDF
  • Research on Unmanned Driving Trajectory Planning Problem Based on Computational Optimal Control

    Chenxi Gao    DOI:https://doi.org/10.56028/aetr.1.15.999.2025    pp. 999-1008 Abstract    This paper first introduces the background of the research: with the rapid development of technology, autonomous vehicles have gained increasing popularity and significantly improved human living standards. As a result, it has become a growing area of research interest for scientists in the technolo...   Download PDF
  • Progress in the diagnosis and treatment of Alzheimer's disease

    Yuxuan Xie    DOI:https://doi.org/10.56028/aetr.1.15.1009.2025    pp. 1009-1015 Abstract    This review systematically describes the advances in the diagnosis and treatment of Alzheimer's disease (AD). The core pathological features of AD are β-amyloid protein (Aβ) deposition and neurofibrillary tangles formed by hyperphosphorylated tau protein. Its pathogenesis is complex, involving the A...   Download PDF
  • The Impact of AI Algorithm Monitoring on Employee Job Satisfaction

    Xinyuan Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1016.2025    pp. 1016-1025 Abstract    Purpose-Against the backdrop of artificial intelligence (AI) technology deeply permeating workplace management, this study focuses on the differential impact mechanism of AI algorithmic monitoring on employees' job satisfaction. Based on social cognitive theory and organizational identification theo...   Download PDF
  • Advances in laser fundamentals, classifications, and their applications

    Zhetong Cao    DOI:https://doi.org/10.56028/aetr.1.15.1026.2025    pp. 1026-1037 Abstract    Laser technology continues to advance in tandem with the growth of modern technology, benefiting all aspects of daily human existence. The laser serves as the primary tool in modern technology and remains widely employed in communication operations, as well as in medical applications, military opera...   Download PDF
  • Designing an AI Language Assistance System for Elderly Users to Overcome Communication Challenges

    Ziyi Xu    DOI:https://doi.org/10.56028/aetr.1.15.1038.2025    pp. 1038-1044 Abstract    This paper addresses the growing communication challenges faced by elderly individuals in the context of demographic aging and the decline of traditional family support structures. While information and Communication Technologies(ICTs) such as mobile phones and video calls have partially bridged the...   Download PDF
  • The Impact of eye cosmetics on the tear film - exploring the outcomes, mechanisms, and effects on ocular health

    Bingjie Zhu    DOI:https://doi.org/10.56028/aetr.1.15.1045.2025    pp. 1045-1052 Abstract    The paper extensively analyses cosmetic migration into the tear film through mechanical pressure from blinking and temperature effects on viscosity and cosmetic product properties. The entry of cosmetic particles into the eye causes damage to the meibomian glands, resulting in impaired lipid secreti...   Download PDF
  • Multiscale Modeling of Friction Coefficients: A Review from Nanocontacts to Macroscopic Sliding

    Jianle Gao    DOI:https://doi.org/10.56028/aetr.1.15.1053.2025    pp. 1053-1062 Abstract    Friction, being a very ubiquitous form of energy dissipation and material wear in engineering systems, has a range of physical scales, including atomic interactions and bulk mechanical behaviour. Despite the continued use of the classical laws of Coulomb and Amontons in engineering practice, recent ...   Download PDF
  • Research progress on the cellular and molecular mechanisms of carbon dioxide The fertilisation effect on the Plant

    Ru Jia    DOI:https://doi.org/10.56028/aetr.1.15.1063.2025    pp. 1063-1072 Abstract    Plants display improved photosynthetic functionality through the carbon dioxide fertilisation effect under environments with higher atmospheric CO₂concentrations. Various technical constraints remain regarding omics-based research exploring photosynthetic control mechanisms under CO₂ enrichment. Fut...   Download PDF
  • The Dual Role of Cellular Senescence in Cervical Cancer

    Xinning Tong    DOI:https://doi.org/10.56028/aetr.1.15.1073.2025    pp. 1073-1080 Abstract    Cellular senescence is an irreversible cell cycle arrest state that exerts dynamic dual regulatory effects on the occurrence, treatment, and prognosis of cervical cancer through the activation of tumor suppressor pathways such as p16INK4a/p53 and the secretion of senescence-associated secretory phen...   Download PDF
  • Nutritional Value of Plant-Based Foods and Their Potential Impact on Health

    Xinnuo Chen    DOI:https://doi.org/10.56028/aetr.1.15.1081.2025    pp. 1081-1091 Abstract    Global population growth, accelerated urbanization, and rising per capita income have driven a continuous increase in the demand for meat consumption. However, traditional livestock production models not only impose a significant environmental burden, such as greenhouse gas emissions, land and water...   Download PDF
  • A Deep Learning-Based Prediction Model for the Energy Dissipation Level of Shear Walls

    Chenyang Lai    DOI:https://doi.org/10.56028/aetr.1.15.1092.2025    pp. 1092-1104 Abstract    This study explores the application of deep learning for predicting the energy dissipation level of reinforced concrete shear walls. Traditional empirical formulas and conventional machine learning methods often face limitations in accuracy and generalizability when dealing with complex, high-dimens...   Download PDF
  • Pose-Smoothing A* Path Planning Method for Three-Dimensional Environments

    Yihao Lu,Chenhao Zhu    DOI:https://doi.org/10.56028/aetr.1.15.1105.2025    pp. 1105-1117 Abstract    The traditional A* algorithm ensures global optimality under admissible heuristics but ignores pose continuity in 3D, causing abrupt orientation changes. We extend A* with quaternion-based pose modeling, dynamic weighting, and Slerp refinement. The node state combines position and pose, while the he...   Download PDF
  • A Review of Population Structure Dynamics and Risk Warning Based on Time Series Models

    Yicheng Li    DOI:https://doi.org/10.56028/aetr.1.15.1118.2025    pp. 1118-1124 Abstract     In the fields of population data analysis and sociological research, time series models, particularly ARIMA and VAR models, are widely applied and highly regarded for their stability and interpretability. This paper systematically reviews the application of ARIMA models in modeling and forecas...   Download PDF
  • Research on Multiphysics Coupling Analysis and Optimization Design of Aircraft

    Jialun Li    DOI:https://doi.org/10.56028/aetr.1.15.1125.2025    pp. 1125-1134 Abstract    Modern aircraft design has reached a level of complexity where multiphysics coupling – the interaction of aerodynamic, structural, thermal, electromagnetic, and other physical domains – must be considered to achieve optimal performance and reliability. Traditional model-driven approaches, which rely...   Download PDF
  • Hub genes of Acropora hemprichii response to microplastics were screened based on bioinformatics

    PingHung Wu    DOI:https://doi.org/10.56028/aetr.1.15.1135.2025    pp. 1135-1144 Abstract    This study presents the urgent issue of microplastic pollution threatening coral reef ecosystems through an innovative cross-species conservation analysis strategy. Using 26 validated microplastic differential expression genes from zebrafish (Danio rerio) as query sequences, homologous alignment of ...   Download PDF
  • Research Progress on Hydrogel-Based Multifunctional Sensors for Health Monitoring

    Saige Yin    DOI:https://doi.org/10.56028/aetr.1.15.1145.2025    pp. 1145-1155 Abstract     Hydrogel-based sensors (HBS), as core devices at the intersection of flexible electronics and biomedical engineering, exhibit great application potential in areas such as human motion detection and health monitoring due to their excellent mechanical properties, conductivity, high sensitivity, ...   Download PDF
  • Synthetic biology in the gut microbiota for obesity treatment

    Zengyue Geng    DOI:https://doi.org/10.56028/aetr.1.15.1156.2025    pp. 1156-1164 Abstract    Obesity is a global problem that has had a serious impact on the health of many people around the world. Recently, scientists have discovered that the gut microbiome has a significant influence on human obesity. The objective of this article is to synthesize and examine the existing state of researc...   Download PDF
  • Design of automatic packaging tape reeling machine based on equal area model

    Chen Jin    DOI:https://doi.org/10.56028/aetr.1.15.1165.2025    pp. 1165-1171 Abstract    An automated packaging tape reeling machine was designed and implemented, simplifying the traditional three-step process of "measuring length, cutting, and reeling" to a two-step process of "reeling and cutting." A relationship between reel length and number of turns was established based on an equa...   Download PDF
  • An application of artificial intelligence in trajectory planning

    Zixiang Nie    DOI:https://doi.org/10.56028/aetr.1.15.1172.2025    pp. 1172-1181 Abstract    Autonomous vehicle Development has accelerated recently, yet trajectory planning remains one of its most technically demanding components. A proper trajectory planning algorithm is essential for achieving safety, comfort, and immediate response capabilities in autonomous transportation systems opera...   Download PDF
  • The Principle and Application of the CRISPR-Cas9 System in Plants

    Haochuan Xu    DOI:https://doi.org/10.56028/aetr.1.15.1182.2025    pp. 1182-1190 Abstract    Plant diseases are one of the critical factors affecting crop growth. They significantly threaten global food security, so cultivating excellent, disease-resistant varieties is the most effective strategy. CRISPR-Cas9 gene editing technology has gained significant attention since its discovery, as i...   Download PDF
  • Effects of Sodium Nitroprusside on the Growth and Development of Melothria scabra

    Yibing Yan    DOI:https://doi.org/10.56028/aetr.1.15.1191.2025    pp. 1191-1197 Abstract    This study examined the ideal concentration and application method of sodium nitroprusside for improving vegetative growth of melothria scabra (thumb watermelon) with the objective of providing a theoretical basis and technical guidance for reducing the cultivation period of watermelon and improving...   Download PDF
  • Exploring the Mysteries of Black Holes

    Zihang Yang    DOI:https://doi.org/10.56028/aetr.1.15.1198.2025    pp. 1198-1205 Abstract    The study of black holes originated at the forefront of theoretical physics. In the early years, researchers such as Carl Schwarzschild and John Michell proposed early theories related to black holes, which were later supported by observational data. This article first dissects the key scientific co...   Download PDF
  • Research on an Enhanced Exponential Smoothing Method in Campus Electricity Demand Forecasting

    Yanzhe Wang    DOI:https://doi.org/10.56028/aetr.1.15.1206.2025    pp. 1206-1216 Abstract    Campus electricity consumption exhibits distinct periodicity, high volatility, and susceptibility to external disturbances. Therefore, accurate forecasting is crucial for optimizing power allocation and reducing operational costs. However, traditional exponential smoothing methods often fail to effe...   Download PDF
  • Exploring the Molecular Mechanism of Phenethyl Alcohol Glycoside's Anti-Cervical Cancer Activity Based on Network Pharmacology

    Zeyuan Li    DOI:https://doi.org/10.56028/aetr.1.15.1217.2025    pp. 1217-1227 Abstract    Cervical cancer is one of the most common and most threatening malignant tumors of the female reproductive system worldwide, with an incidence markedly higher than that of endometrial and ovarian cancers. There is an urgent need for multi-target, low-toxicity therapeutic strategies. This study, base...   Download PDF
  • Progress in the Total Synthesis of Saxitoxin

    Zehua Zhou    DOI:https://doi.org/10.56028/aetr.1.15.1228.2025    pp. 1228-1237 Abstract    Saxitoxin (STX) is a typical guanidinium neurotoxin initially identified in shellfish poisoning incidents and primarily biosynthesized by organisms such as freshwater cyanobacteria and marine dinoflagellates. As one of the most representative members of the natural paralytic shellfish toxin (PST) fa...   Download PDF
  • Generating Missing Modalities: A Conditional Diffusion and Transformer Approach for Emotion Recognition

    He Yu,Chuwen Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1238.2025    pp. 1238-1248 Abstract    Multimodal models have significantly advanced traditional emotion recognition by utilizing information from text, audio, and visual modalities. Many studies have pushed the boundaries of this field. However, the absence of modalities remains a major challenge, hindering the model’s ability to captur...   Download PDF
  • EDCN: Expert-Driven Dynamic Recruitment and Collaboration Network for MAS

    Wending Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1249.2025    pp. 1249-1260 Abstract    Large Language Model (LLM)-driven Multi-Agent Systems (MAS) have recently demonstrated potential in complex reasoning tasks. However, real-world scenarios often impose higher demands on “who should collaborate, how they should collaborate, and whose opinions should carry more weight.” Fixed roles an...   Download PDF
  • AFF-UNet-RWKV: A Lightweight Model for High-Quality Deblurring in Medical Imaging

    Zhiyu Qin    DOI:https://doi.org/10.56028/aetr.1.15.1261.2025    pp. 1261-1268 Abstract    Medical image deblurring is essential for enhancing image quality and improving diagnostic accuracy. This paper introduces a lightweight deep learning model, AFF-UNet-RWKV, which combines AFF-UNet and the RWKV-lite spatial mixer for medical image deblurring tasks. By incorporating Attention Feature ...   Download PDF
  • Research Progress on Metallurgical Recovery of Platinum Group Metals from Spent Automotive Catalysts

    Donghan Huang    DOI:https://doi.org/10.56028/aetr.1.15.1269.2025    pp. 1269-1276 Abstract    This paper reviews recent advances in metallurgical technologies for recovering platinum group metals (PGMs) from spent automotive catalysts. The composition, catalytic principles, and failure mechanisms of automotive catalysts are introduced, followed by a systematic analysis of the principles, cur...   Download PDF
  • Interface-Engineered CoFe-Based Phosphide Electrocatalysts Derived from MOFs for Enhanced Hydrogen Evolution Reaction Performance

    Jiayi Du    DOI:https://doi.org/10.56028/aetr.1.15.1277.2025    pp. 1277-1287 Abstract    The hydrogen evolution reaction (HER) is an efficient and low-cost key half-reaction in water electrolysis that can be a potential way of the long-term sustainable system of hydrogen production in future. In the present work, a well-designed bimetallic CoFe phosphide catalyst prepared by a controlle...   Download PDF
  • Comparative Evaluation of Two-Dimensional Interfacial Control Layers in Memristors

    Peimeng Wang    DOI:https://doi.org/10.56028/aetr.1.15.1288.2025    pp. 1288-1296 Abstract     Two dimensional(2D) interfacial and tunneling layers provide a compact route to stabilizing and scaling memristors. This review compares four representative 2D families: graphene and graphene oxide, hexagonal boron nitride, transition metal dichalcogenides, and MXenes. The research describes h...   Download PDF
  • The Impact of Four Types of Cholesterol Binding on Cognitive Function

    Yufan Nan    DOI:https://doi.org/10.56028/aetr.1.15.1297.2025    pp. 1297-1305 Abstract     Background: Cognitive impairment has been linked to dyslipidemia. Nevertheless, the precise mechanisms through which triglycerides (TG), LDL-C, HDL-C, and TC influence cognitive function remain unclear. Objectives: This study investigates the relationship between blood lipid levels and cogniti...   Download PDF
  • Recent Advances in Polyvinyl Alcohol-Based Hydrogels for Antibacterial Medical Dressings

    Leyi Hou    DOI:https://doi.org/10.56028/aetr.1.15.1306.2025    pp. 1306-1315 Abstract    Polyvinyl alcohol (PVA) hydrogels have become widely utilized materials in the field of antibacterial medical dressings owing to their outstanding mechanical properties, excellent biocompatibility, and simple preparation processes, as well as their biodegradability and ease of modification. This pap...   Download PDF
  • Modeling and Application of Deep Multimodal Integration in Intelligent Perception Systems

    Minqi Peng     DOI:https://doi.org/10.56028/aetr.1.15.1316.2025    pp. 1316-1323 Abstract    To address the limitations of single-modal perception in complex dynamic environments—such as insufficient robustness—and the challenges of multimodal fusion—including semantic alignment difficulties and high computational overhead—this paper proposes a dynamically weighted cross-modal Transformer f...   Download PDF
  • Ethical Dilemmas and Coping Strategies in the Application of AI in the Medical Field

    Xinyi Liang    DOI:https://doi.org/10.56028/aetr.1.15.1324.2025    pp. 1324-1333 Abstract    With the expanding application of Artificial Intelligence (AI) technology in medical diagnosis, treatment plan formulation, drug research and development, and other areas, AI has significantly improved the efficiency of diagnosis and treatment in the medical field. However, it has also brought about...   Download PDF
  • CO2 Sequestration in “Blue Carbon” Systems: Research Progress on the Synergy between Ocean CO2 Storage and Coastal Blue Carbon

    Chloe Lai    DOI:https://doi.org/10.56028/aetr.1.15.1334.2025    pp. 1334-1340 Abstract    The carbon dioxide content in our atmosphere is increasing rapidly. This means that we need better methods to capture and store carbon, and these solutions can work effectively for many years and can be scaled up to a larger scale. Among the various technologies that can be used to reduce carbon emi...   Download PDF
  • From Dominoes to Bridges: Application of Domino Wave Propagation Mechanisms in Cascading Collapse Prevention

    Zhiting Yu    DOI:https://doi.org/10.56028/aetr.1.15.1341.2025    pp. 1341-1348 Abstract    Focusing on the domino effect in physics, this study discusses the influence of factors such as domino spacing, mass, shape, and friction on wave velocity and propagation stability through the analysis of angular momentum conservation, energy attenuation coefficient, and collision torque. In enginee...   Download PDF
  • Fiber-Based Flexible Zinc-Ion Batteries: Recent Advances and Future Perspectives

    Zian Feng    DOI:https://doi.org/10.56028/aetr.1.15.1349.2025    pp. 1349-1362 Abstract    Fiber-based flexible zinc-ion batteries (FFZIBs) represent a new class of next-generation energy storage systems distinguished by their low mass, outstanding mechanical deformability, superior textile compatibility, and inherent operational safety. These unique attributes make them particularly suit...   Download PDF
  • Recent Advances in Legged Robot Locomotion and Control

    Leonard Jin    DOI:https://doi.org/10.56028/aetr.1.15.1363.2025    pp. 1363-1367 Abstract     In recent years, legged robots have emerged as powerful mobile robots capable of navigating complex and uncontrolled environments where wheeled robots often fail. This review provides a comprehensive overview of recent studies and advances in legged robot locomotion and control, focusing on in...   Download PDF
  • Student Performance Prediction Model: Intervention Mechanisms and Risk Identification Based on Machine Learning

    Zihan Ping    DOI:https://doi.org/10.56028/aetr.1.15.1368.2025    pp. 1368-1374 Abstract    This study employs machine learning methods to predict student academic performance, using techniques such as linear regression and random forest. The dataset consists of student records on mathematics and Portuguese subjects, including socio-demographic, academic, and behavioral features. Prior to ...   Download PDF
  • The Economic Impact of Artificial Intelligence on the Labor Market: A Comprehensive Review

    Zhengxuan Qu    DOI:https://doi.org/10.56028/aetr.1.15.1375.2025    pp. 1375-1380 Abstract    Artificial Intelligence (AI) is reshaping global labor markets by automating routine tasks and enhancing productivity. While AI introduces opportunities for innovation and new employment, it also presents challenges including job displacement, wage inequality, and skills mismatch. This review outlin...   Download PDF
  • Ultraviolet photodetectors based on wide bandgap semiconductors: A Review

    Chenyi Wang    DOI:https://doi.org/10.56028/aetr.1.15.1381.2025    pp. 1381-1386 Abstract    This review focuses on ultraviolet (UV) photodetectors based on wide bandgap semiconductors, which are gaining increasing attention for applications in defense, environmental monitoring, and biomedical fields. Materials such as ZnO and Ga₂O₃ offer high thermal stability, strong radiation resistance,...   Download PDF
  • Innovation and Application Development of Signal Processing Technology Based on Artificial Intelligence (Deep Learning / Reinforcement Learning)

    Zichen Wang    DOI:https://doi.org/10.56028/aetr.1.15.1387.2025    pp. 1387-1391 Abstract    This paper systematically reviews the technological innovation and application development of artificial intelligence (deep learning/reinforcement learning) in signal processing. Firstly, it sorts out the evolutionary path of deep learning models (such as CNN and Transformer) in signal feature extra...   Download PDF
  • From Earthworms to Robotics: A Review of Worm-Like Locomotion Systems

    Yufei Li    DOI:https://doi.org/10.56028/aetr.1.15.1392.2025    pp. 1392-1397 Abstract    Worm-like bionic robots that are inspired by soft-bodied invertebrate locomotion, such as nematodes and earthworms, are one emerging trend in soft robotics. With inherent abilities to adapt and change shape to narrow or uneven environments, such robots have special application prospects for pipeline...   Download PDF
  • Electric Vehicles: Innovative Path towards Sustainable Development

    Chen Lu    DOI:https://doi.org/10.56028/aetr.1.15.1398.2025    pp. 1398-1404 Abstract    As concerns about environmental sustainability and energy security grow, electric vehicles emerge as a key solution. However, the widespread adoption of electric vehicles is not without challenges. The economic feasibility of integrating battery technology, charging infrastructure, and electric vehi...   Download PDF
  • Artificial Intelligence in Music Generation: Techniques, Applications, and Challenges

    Hongyu Wang    DOI:https://doi.org/10.56028/aetr.1.15.1405.2025    pp. 1405-1416 Abstract    The rapid advancement of artificial intelligence (AI), particularly in the field of deep learning, has significantly impacted creative domains such as music generation. From rule-based approaches to powerful generative models, AI is now capable of composing melodies, harmonies, and entire musical pi...   Download PDF
  • Artificial Intelligence in Digital Government Governance: Innovation, Risks, and Policy Responses

    Jinming Tao    DOI:https://doi.org/10.56028/aetr.1.15.1417.2025    pp. 1417-1422 Abstract    With the breakthrough development of artificial intelligence technology, the application of large models in government governance has shown a profound impact. This paper systematically explores the multi-dimensional application scenarios of large artificial intelligence models in constructing China'...   Download PDF
  • RT-2: Vision-Language-Action Models for Generalizable Robotic Control: A Comprehensive Review

    Austin Zhou    DOI:https://doi.org/10.56028/aetr.1.15.1423.2025    pp. 1423-1429 Abstract    Recent advances in large-scale vision-language models (VLMs) have opened new pathways for robotic learning and control. Google DeepMind’s Robotics Transformer 2 (RT-2) represents a transformative step by integrating pre-trained internet-scale multimodal models with physical robotic systems. RT-2 rec...   Download PDF
  • Improving the energy efficiency of quadruped robots on uneven terrains through bio-inspired elastic design

    Qirui Huang    DOI:https://doi.org/10.56028/aetr.1.15.1430.2025    pp. 1430-1435 Abstract    This study demonstrates that bio-inspired elastic leg design significantly enhances the energy efficiency of quadruped robots on uneven terrains. Through a quadrupedal spring-mass model and tunable-stiffness prototype (1.2–5.6 kN/m), we validate that elastic legs reduce the Cost of Transport by 18–3...   Download PDF
  • Wearable Wireless Sensors for Healthcare Monitoring: A Review

    Jiaqi Lin    DOI:https://doi.org/10.56028/aetr.1.15.1436.2025    pp. 1436-1441 Abstract     As the population grows, limited capabilities constrain medical institutions in some countries. This makes it hard to monitor patients' conditions promptly and comprehensively, potentially causing missed optimal treatment opportunities. Thus, researching wearable wireless sensor-based health m...   Download PDF
  • A Review of Imitation Learning in Natural Human-Robot Interaction

    Zhenyu Shi    DOI:https://doi.org/10.56028/aetr.1.15.1442.2025    pp. 1442-1446 Abstract    This paper reviews over twenty recent studies on applying imitation learning (IL) to natural human-robot interaction (HRI). Traditional rule-based behavior modeling offers transparency and controllability, but there is a lack of flexibility and adaptability. This motivates the adoption of IL, allowi...   Download PDF
  • Overview of Object Detection and Recognition in Vehicle Autonomous Driving

    Qing Shi    DOI:https://doi.org/10.56028/aetr.1.15.1447.2025    pp. 1447-1452 Abstract    In recent years, autonomous vehicles have garnered significant attention. As a core technology, object detection and recognition enable vehicles to perceive surrounding obstacles and traffic information, facilitating safer and more convenient operations. This paper offers a comprehensive overview of...   Download PDF
  • Generative AI in Media: Disruptive or Sustaining Innovation? A Case Study-Based Evaluation Using Christensen’s Framework

    Xiaohuan Tang    DOI:https://doi.org/10.56028/aetr.1.15.1453.2025    pp. 1453-1459 Abstract    Generative artificial intelligence (AI) is quickly transforming creative industries, with AI able to generate music, video, and other media assets with just a few prompts. This paper discusses whether these tools are either sustaining or disruptive innovations as outlined by Clayton Christensen. Usi...   Download PDF
  • Research on the Application of Generative Adversarial Networks in Artificial Intelligence Painting

    Yue Xiao    DOI:https://doi.org/10.56028/aetr.1.15.1460.2025    pp. 1460-1468 Abstract    GAN (Generative Adversarial Network) is widely used in image generation, renowned for its ability to produce high-fidelity details and sharp edges through adversarial training. Unlike Variational Autoencoders (VAEs), which often generate blurrier outputs, GANs excel in visual realism by leveraging a...   Download PDF
  • Investigation of High-Performance Nanocomposites for Flexible Electronics Applications

    Yitong Yan    DOI:https://doi.org/10.56028/aetr.1.15.1469.2025    pp. 1469-1476 Abstract    Wearable electronics have garnered increasing attention due to their potential in real-time physiological monitoring, personalized healthcare, and human–machine interaction. However, challenges such as mechanical mismatch between rigid electronics and soft biological tissues, limited material recycl...   Download PDF
  • A Study on the Theoretical Framework, Cutting-Edge Advances, and Scientific Impact of Relativity

    Zichuan Liu    DOI:https://doi.org/10.56028/aetr.1.15.1477.2025    pp. 1477-1482 Abstract    As one of the most profound theoretical systems in 20th-century physics, relativity revolutionized humanity’s understanding of spacetime, gravity, and the fundamental laws of nature. While its foundational principles—special relativity (SR) and general relativity (GR)—have stood the test of time, re...   Download PDF
  • Applications of AI-driven in personal health: monitoring, analysis, and prospect

    Yanzhi Shi    DOI:https://doi.org/10.56028/aetr.1.15.1483.2025    pp. 1483-1487 Abstract     Personal health includes physical, mental, and other comprehensive health. As personal health reflects the condition of our body, it has always been a concern, directly related to physical well-being. Due to that, technological development is inadequate, with people showing insufficient attent...   Download PDF
  • Design and Implementation of a Vision-Guided Soft Gripper Robotic System for Static and Dynamic Fruit Grasping

    Yuhan Wang    DOI:https://doi.org/10.56028/aetr.1.15.1488.2025    pp. 1488-1495 Abstract    This study develops a vision-guided robotic system for grasping both stationary and moving fruits using a custom-fabricated silicone soft pneumatic gripper. The design integrates monocular vision for object detection and localization, pixel-to-world calibration, and an “eye-in-hand” hand–eye transfo...   Download PDF
  • Copyright protection of artificial intelligence-generated works: Case study of artworks

    Peiqi Xu    DOI:https://doi.org/10.56028/aetr.1.15.1496.2025    pp. 1496-1502 Abstract    In recent years, the rapid advancement of artificial intelligence (AI) has led to various creative practices in daily life, particularly in the field of art, which brings new legal challenges around copyright and AI-generated artwork. In previous marketing research, numerous studies have examined wh...   Download PDF
  • Microplastic Pollution: A Review of Sources, Environmental Fate, Ecotoxicological Impacts, and Mitigation Strategies

    Qi Zhou    DOI:https://doi.org/10.56028/aetr.1.15.1503.2025    pp. 1503-1508 Abstract    The term 'microplastics' was formally introduced in 2004. Due to the widespread use of plastics and their subsequent mismanagement, microplastics have become ubiquitous in China and globally, posing significant threats to ecosystems. Substantial research efforts have yielded critical breakthroughs i...   Download PDF
  • Simulation-Based Analysis of Q-Learning Enhanced Braitenberg Vehicles for Obstacle Avoidance

    Xingran Bu    DOI:https://doi.org/10.56028/aetr.1.15.1509.2025    pp. 1509-1515 Abstract     Adaptive navigation on resource-constrained robots remains difficult because strict limits on compute, memory, and latency restrict the use of complex learning architectures. Braitenberg Vehicles (BVs) offer a minimalist control philosophy based on direct sensor–motor couplings, enabling fast,...   Download PDF
  • The Review of Development, Application and Optimal Design of Robotic Arms

    Bodong Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1516.2025    pp. 1516-1521 Abstract    Robotic arms can be regarded as the mimicry of human arms without complicated perception abilities but with higher efficiency and safety index. They are pragmatic with appropriate design. Due to the fast pace of the development of technology, robotic arms have become highly demanding in many fields ...   Download PDF
  • From Imitation to Intelligence: Current Trends and Future Directions in Legged Bio-Inspired Robotics

    Jiaming Chen    DOI:https://doi.org/10.56028/aetr.1.15.1522.2025    pp. 1522-1528 Abstract    Legged bio-inspired robots have emerged as a promising solution for locomotion in unstructured and complex environments. By drawing inspiration from animal morphology and biomechanics, researchers have developed robotic systems capable of achieving agility, adaptability, and energy efficiency beyond...   Download PDF
  • A Comprehensive Survey of ISAC Technology: Fundamental Principles, Research Progress, and Future Trends

    Wangting Chen    DOI:https://doi.org/10.56028/aetr.1.15.1529.2025    pp. 1529-1535 Abstract    Traditional wireless communication and sensing systems have long been separated, lacking synergy in spectrum, hardware, and signal processing, which leads to low resource utilization and high costs. With the evolution from 5G-A to 6G, the demand for "communication-sensing-decision" integration has s...   Download PDF
  • A Review of Exploration of the Stable Operation Principle of Quadruped Robots in Complex Terrains

    Yue Cui    DOI:https://doi.org/10.56028/aetr.1.15.1536.2025    pp. 1536-1542 Abstract     This review examines the principles enabling quadruped robots to operate stably in complex terrains. The review focuses on three key areas: mechanical design, control algorithms, and environmental perception. Inspired by quadrupedal animals, bionic design strategies such as implementing rigid ...   Download PDF
  • Advances and Future Directions in Deep Space Laser Communication

    Yihang He    DOI:https://doi.org/10.56028/aetr.1.15.1543.2025    pp. 1543-1548 Abstract    Exploring deep space is paramount to humanity in exploring the more distant universe, providing a core value for human survival and future development. With the expansion of deep-space exploration, traditional radio frequency (RF) communication faces bottlenecks such as limited bandwidth, high power...   Download PDF
  • Machine Learning-Driven Design and Embedded System for Smart Wearable Devices

    Jiakai Lu    DOI:https://doi.org/10.56028/aetr.1.15.1549.2025    pp. 1549-1555 Abstract    With advances in sensors, wireless communication, and artificial intelligence, smart wearable devices have been widely applied in health monitoring, motion analysis, and human-computer interaction, evolving toward lightweight, low-power, and personalized designs. Machine learning enables these devic...   Download PDF
  • The development, application, and improvement of pet locators

    YiHeng Ma    DOI:https://doi.org/10.56028/aetr.1.15.1556.2025    pp. 1556-1561 Abstract    This thesis aims to explore the technological development, current application status, and future improvement directions of pet trackers. With the continuous advancement of science and technology, various innovative technologies are constantly being transformed into practical forces for optimizing p...   Download PDF
  • Current Status, Challenges, and Future Prospects of Artificial Intelligence in Medicine

    Bowen Shi    DOI:https://doi.org/10.56028/aetr.1.15.1562.2025    pp. 1562-1567 Abstract    With its enormous potential and value, artificial intelligence (AI) technology is being incorporated into every facet of the medical industry at a never-before-seen pace, from basic research to clinical practice to public health management. This study thoroughly examines the development of AI applic...   Download PDF
  • Breakthroughs and Applications of Emerging Battery Technologies for Voltage Enhancement

    Kaiyi Wei    DOI:https://doi.org/10.56028/aetr.1.15.1568.2025    pp. 1568-1573 Abstract    With the rapid development of electric vehicles, portable electronics, and renewable energy storage systems, the demand for high-voltage, stable, and cost-effective batteries has become increasingly urgent. Traditional battery voltage enhancement methods (e.g., series connection of single cells) fac...   Download PDF
  • Research on Exploring Fairness Challenges in Differential Privacy Machine Learning

    Zhenshan Wu    DOI:https://doi.org/10.56028/aetr.1.15.1574.2025    pp. 1574-1580 Abstract    Differential Privacy (DP), the gold standard for privacy protection in machine learning, provides strict mathematical guarantees but also exhibits a "double-edged sword" effect by posing a potential threat to algorithmic fairness. This study systematically reveals that DP, particularly its mainstrea...   Download PDF
  • Research Progress on Plastic Optical Fiber (POF) Sensors Based on Surface Plasmon Resonance (SPR)

    Ziru Huang    DOI:https://doi.org/10.56028/aetr.1.15.1581.2025    pp. 1581-1587 Abstract    This study investigates the persistent gap between the high sensitivity of surface plasmon resonance (SPR) technology and its limited portability and affordability in field applications. It aims to provide a comprehensive synthesis of how integrating plastic optical fibers (POFs) with SPR can overco...   Download PDF
  • Machine Learning-Based Detection and Defense Techniques for AI-Generated Content in Cybersecurity

    Xiang Li    DOI:https://doi.org/10.56028/aetr.1.15.1588.2025    pp. 1588-1593 Abstract     This essay systematically reviews the detection and defense technologies for AI-generated content in the context of network security scenarios. First, it outlines the representative methods and key features of supervised learning, self-supervised learning, and unsupervised learning in image an...   Download PDF
  • Advancing EEG Research on Human Emotions Through Deep Learning Models

    Yanbing Wu    DOI:https://doi.org/10.56028/aetr.1.15.1594.2025    pp. 1594-1598 Abstract    Emotions are critical in driving human cognitive and social activities. As a non-invasive technique for recording neuronal electrical activities, electroencephalography (EEG) has been widely used in diagnosing and treating conditions such as epilepsy and depression since Hans Berger first recorded h...   Download PDF
  • The application of the efficiency movement of animals in robotics

    Yike Sun    DOI:https://doi.org/10.56028/aetr.1.15.1599.2025    pp. 1599-1603 Abstract    In recent decades, robotics has witnessed exponential growth and widespread application across various domains such as manufacturing, healthcare, agriculture, and civil engineering. However, the significant energy consumption of current robotic systems has become a limitation for robotics. The effic...   Download PDF
  • Large Language Models in Robotics: Applications, Challenges, and Future Directions from the Perspective of Embodied Intelligence

    Ruijun Wang    DOI:https://doi.org/10.56028/aetr.1.15.1604.2025    pp. 1604-1610 Abstract    Large language models(LLMs) are beginning to influence embodied intelligence by improving robots’ ability to perceive their surroundings, follow instructions, and collaborate with people. This paper reviews recent progress at the intersection of LLMs and robotics, focusing on practical uses in manip...   Download PDF
  • Smart Wearable Devices for Work Efficiency Optimization and Human-Machine Collaboration

    Yiqi Wang    DOI:https://doi.org/10.56028/aetr.1.15.1611.2025    pp. 1611-1617 Abstract    This review explores the latest advancements in industrial wearable technology for work efficiency and promoting human-machine collaboration. The article outlines the primary types of wearable devices formed by their unique sensor components and functions. It discusses how these devices improve ergo...   Download PDF
  • Practical Exploration of Generative AI in Enhancing Speech Writing Instruction for Higher Vocational Education: A Case Study of Deepseek

    Meng Li    DOI:https://doi.org/10.56028/aetr.1.15.1618.2025    pp. 1618-1623 Abstract    The ability to produce practical documents represents a crucial professional competency for high-calibre skilled professionals in today’s rapidly evolving workforce. Among various forms of professional writing, speech writing holds particular significance, as it not only enhances communication skill...   Download PDF
  • Engineering Challenges and Application Prospects of Ultra-Wideband Technology: A Comprehensive Review

    Boting Zhou    DOI:https://doi.org/10.56028/aetr.1.15.1624.2025    pp. 1624-1629 Abstract    Ultra-Wideband (UWB) technology, characterized by its wide frequency spectrum and low power spectral density, has gained increasing attention for its capabilities in precise indoor positioning, secure communication, and short-range data transmission. This paper provides a comprehensive review of UWB...   Download PDF
  • Vision-Language Models: A Review of Applications and Future Directions

    Chenyu Guo    DOI:https://doi.org/10.56028/aetr.1.15.1630.2025    pp. 1630-1637 Abstract     Multimodal artificial intelligence, especially Vision-Language Models (VLMs), has made significant progress in bridging the "heterogeneity gap" between visual perception and natural language understanding. This review aims to comprehensively sort out the core technologies, applications, and fu...   Download PDF
  • Research on EV User Portraits for Vehicle-to-Grid Interaction Based on Behavioral Clustering and Evolutionary Game

    Xinru Xie    DOI:https://doi.org/10.56028/aetr.1.15.1638.2025    pp. 1638-1647 Abstract    As the global adoption of electric vehicles (EVs) grows rapidly, Vehicle-to-Grid (V2G) technology has increasingly established itself as a critical mechanism for enhancing grid flexibility and improving user economic returns. This study systematically addresses the inherent coordination challenges b...   Download PDF
  • Optimization of Device Architecture for Enhanced Performance in Deep-Ultraviolet Light-Emitting Diodes

    Yangyue Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1648.2025    pp. 1648-1654 Abstract    Deep-UV LEDs typically refer to ultraviolet LEDs that emit wavelengths of approximately 200–280 nm or <300 nm. Their primary material system is AlGaN, and by adjusting the Al content, the bandgap can be shifted into the deep ultraviolet region to achieve the desired wavelength. Deep-UV LEDs offer...   Download PDF
  • Force Feedback and Control Theory Applications in Haptic Interaction Systems

    Grace Jiang    DOI:https://doi.org/10.56028/aetr.1.15.1655.2025    pp. 1655-1660 Abstract    With the rapid development of virtual reality, augmented reality, and remote operation technologies, force feedback-based tactile interaction has emerged as a key pathway for enhancing immersion and precision in human–computer interaction. This paper investigates the principles, implementation mecha...   Download PDF
  • Bionic Engineering Based on Plant Characteristics and Human Adaptive Specificity to the Environment

    Nuotian Fan    DOI:https://doi.org/10.56028/aetr.1.15.1661.2025    pp. 1661-1666 Abstract     After a long evolutionary process, plants have developed unique mechanisms for energy utilization, structural optimization, water control, and environmental adaptation. These characteristics not only maintain the stability of the Earth's ecosystem but also provide bionic inspiration for humans...   Download PDF
  • Research on the Efficient Removal and Recycling of Heavy Metals Based on MOFs-Derived Nanomaterial

    Hongwei Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1667.2025    pp. 1667-1671 Abstract    Heavy metal pollution seriously threatens the ecological environment and human health. Due to their unique structural characteristics, metal-organic framework materials (MOFs) and their derived nanomaterials have shown great potential in heavy metal pollution control. This article comprehensively re...   Download PDF
  • Exploring the Role of Magic Angle Graphene Superconductivity in Advancing Quantum Computing

    Zihan Guo    DOI:https://doi.org/10.56028/aetr.1.15.1672.2025    pp. 1672-1678 Abstract    Magic-angle twisted bilayer graphene (MATBG) has emerged as a highly tunable platform for studying strongly correlated electronic phenomena, including unconventional superconductivity. This material exhibits flat electronic bands at specific “magic” twist angles, leading to enhanced electron-electro...   Download PDF
  • AI in Education: A Critical Review of Applications, Bias, and Equity Challenges

    Sijia Huang    DOI:https://doi.org/10.56028/aetr.1.15.1679.2025    pp. 1679-1689 Abstract    Artificial intelligence is rapidly transforming higher education, moving from peripheral support to everyday practice in teaching, learning, and assessment. Applications such as learning analytics, intelligent tutoring systems, automated scoring, and generative AI are widely promoted for personaliza...   Download PDF
  • Illuminating the Physics of Aurora: A Predictive Model Based on Laboratory Simulations

    Lin Jin,Chen Lu    DOI:https://doi.org/10.56028/aetr.1.15.1690.2025    pp. 1690-1698 Abstract    This study aims to simulate the generation of auroras in a laboratory environment and to explore changes in the intensity of artificial auroras under varying physical conditions through mathematical modeling. It introduces the mechanisms behind natural and artificial auroras, explaining the factors ...   Download PDF
  • Research on Key Technologies of Multi-Source Sensing Fusion for 6G

    Wenxuan Li    DOI:https://doi.org/10.56028/aetr.1.15.1699.2025    pp. 1699-1704 Abstract     The shift to sixth-generation (6G) networks is about to go beyond the communication-centered model and become integrated infrastructures that combine sensing, computation, and intelligence. Multi-source sensing fusion is essential to this vision, as it seeks to integrate data from different no...   Download PDF
  • Edge Computing-Assisted AI for Wireless Communication: Cross-Scenario Integration, Security, and Resource Optimization

    Yixuan Qian    DOI:https://doi.org/10.56028/aetr.1.15.1705.2025    pp. 1705-1710 Abstract    With the rapid deployment of 5G and the appearance of 6G, wireless communication is transitioning from connection-oriented to intelligent service-oriented networks. Edge computing and artificial intelligence (AI) have been generally recognised as critical enablers for solving latency, scalability, a...   Download PDF
  • A review of the life cycle assessment of geopolymer concrete

    Yunqi Ou    DOI:https://doi.org/10.56028/aetr.1.15.1711.2025    pp. 1711-1716 Abstract    Geopolymer concrete (GPC) has emerged as a promising alternative to Portland cement concrete (PCC), offering a lower carbon footprint, superior performance, and enhanced resource efficiency. It is synthesized from aluminosilicate industrial byproducts, including fly ash (FA), ground granulated blast...   Download PDF
  • Linear Modelling and Performance Limits of Fly-Ash and GGBS Substitution for Low-Carbon RC 25/30 Concrete in the United Kingdom

    Tian Tan    DOI:https://doi.org/10.56028/aetr.1.15.1717.2025    pp. 1717-1724 Abstract    Embodied carbon from ordinary Portland cement dominates the cradle-to-gate footprint of structural concrete. This study evaluates the decarbonisation potential of fly ash (FA) and ground-granulated blast-furnace slag (GGBS) in a UK reference mix RC 25/30. Twenty-seven FA and twenty-three GGBS enviro...   Download PDF
  • A Deep Learning Framework for Landslide Detection in Support of Early Warning Systems

    Wenpeng Wu    DOI:https://doi.org/10.56028/aetr.1.15.1725.2025    pp. 1725-1733 Abstract    Landslides are sudden and destructive hazards that have a significant impact on human, economic, and environmental aspects, and their complex triggering factors make them particularly difficult, underscoring the importance of reliable Landslide Early Warning Systems (LEWS). Traditional approaches ar...   Download PDF
  • Collaborative Scheduling Model for the Interaction Between Electric Vehicles and Power Grid in the Internet of Vehicles Environment

    Yuhan Guo    DOI:https://doi.org/10.56028/aetr.1.15.1734.2025    pp. 1734-1739 Abstract    The ownership of electric vehicles (EVs) is rising rapidly. Meanwhile, the development of Internet of Vehicles (IoV) technology has established a platform for data interaction and collaborative control between EVs and the power grid. After comprehensively analyzing relevant domestic and internationa...   Download PDF
  • Costs, Risks, and Realities: Reassessing CCS and Afforestation as Climate Solutions

    Tianying Hu    DOI:https://doi.org/10.56028/aetr.1.15.1740.2025    pp. 1740-1747 Abstract     With the development of technology, people are gradually adapting to utilizing more and more machines. However, this type of matter causes the release of carbon dioxide, which leads to the greenhouse effect. Therefore, the global temperature continues to increase. As a result, people have deve...   Download PDF
  • Advances and Challenges in Smart Prosthetics: A Review of Sensing, Actuation, and Bionic Design

    Jinyuan Liu    DOI:https://doi.org/10.56028/aetr.1.15.1748.2025    pp. 1748-1752 Abstract     Intelligent prosthetics signify a significant evolution from mechanical devices to advanced systems integrating mechatronics, biomedical engineering, and artificial intelligence. This review synthesizes recent technological advancements in key areas such as sensing and signal acquisition, actu...   Download PDF
  • The Application of Nano-zinc oxide in Petrochemical

    Shuyang Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1753.2025    pp. 1753-1757 Abstract    In today’s world, fossil fuels dominate the energy supply. However, petroleum refining produces many toxic gases, including sulfur oxides, which have caused many serious environmental and health problems. To reduce this negative externality, petroleum firms use desulfurizers to absorb the sulfur. Th...   Download PDF
  • Evaluating Bias and Inclusiveness of Large Language Models on Social, Political, and Historical Education

    Ziyue Zeng    DOI:https://doi.org/10.56028/aetr.1.15.1758.2025    pp. 1758-1765 Abstract    Educational institutions have been impacted by the rapid shift of information gathering mediums and student perspectives shaped by generative artificial intelligence in social, political, and historical education. Through a comparative analysis of four distinct large language models (LLMs): ChatGPT,...   Download PDF
  • Optical Fiber Communication and Energy Efficiency Optimization in Photovoltaic Power Stations

    Yuang Du    DOI:https://doi.org/10.56028/aetr.1.15.1766.2025    pp. 1766-1771 Abstract     In the field of new energy photovoltaics, optical fibers and cables play a crucial supporting role. Cables are responsible for transmitting electricity, while optical fibers are responsible for transmitting information. However, their integration remains inadequate, with relatively high costs ...   Download PDF
  • Application Status and Prospect of Fuzzy Algorithm and Neural Network in Intelligent Control of Forestry Robot

    Dingge Shen    DOI:https://doi.org/10.56028/aetr.1.15.1772.2025    pp. 1772-1777 Abstract     Intelligent control has been widely applied in industrial robot control in recent years, aiming to address control problems such as highly nonlinear models, inaccurate models, and complex task requirements, which are challenging to solve using traditional control methods. Applying intelligent ...   Download PDF
  • Potential application of large language models in the financial field

    Shuai Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1778.2025    pp. 1778-1782 Abstract     Recent advancements in artificial intelligence have led to the research, development, and implementation of various new technologies. Large language models (LLMs) have emerged as a prominent research focus across multiple disciplines due to their remarkable capabilities in data collection, ana...   Download PDF
  • The control technique and modeling of quadruped robots

    Yuanbo Zhao    DOI:https://doi.org/10.56028/aetr.1.15.1783.2025    pp. 1783-1788 Abstract    Quadruped robots, distinguished by their exceptional terrain adaptability, enabling seamless navigation across rough landscapes like uneven farmlands, cluttered construction sites, and debris-strewn disaster-stricken areas, and versatile task capabilities, have emerged as a pivotal technology in div...   Download PDF
  • Research on a Dynamic Path Planning Algorithm for Robots Based on Deep Reinforcement Learning

    Boyi Zheng    DOI:https://doi.org/10.56028/aetr.1.15.1789.2025    pp. 1789-1794 Abstract    With the advancement of robotic technology, robot path planning has garnered significant attention, particularly in fields such as automation, autonomous driving, and smart manufacturing. Path planning involves determining the optimal path for a robot to travel from a specific position to its destin...   Download PDF
  • Large Language Models in Software Engineering: Automation, Collaboration, and Challenges

    Cheng Zhong    DOI:https://doi.org/10.56028/aetr.1.15.1795.2025    pp. 1795-1800 Abstract    As artificial intelligence (AI) technology develops rapidly, large-scale pre-trained language models (LLMs) have become widely applied in software engineering. This has revolutionized software development and brought significant value to testing, debugging, operations, project management, and other ...   Download PDF
  • Photolithography-Based Manufacturing for Next-Generation Microelectronics

    Yang Wang    DOI:https://doi.org/10.56028/aetr.1.15.1801.2025    pp. 1801-1804 Abstract    Photolithography has become the cornerstone of modern microelectronics fabrication, enabling the production of highly complex integrated circuits with nanometer-scale precision. This paper provides a comprehensive overview of photolithography, highlighting its historical development, core mechanisms...   Download PDF
  • Extending Shelf Life of Fruits Using UV-Activated TiO₂ Nanoparticle Coatings on Cardboard Packaging

    Ruijia Zhao    DOI:https://doi.org/10.56028/aetr.1.15.1805.2025    pp. 1805-1810 Abstract    Over-ripening of fruits due to ethylene emission has resulted in significant fruit waste during the production and transportation processes. Thus, titanium dioxide nanoparticles (TiO₂ NPs) have been chosen for coating onto cardboard to degrade ethylene produced by fruits, thereby increasing their sh...   Download PDF
  • Reviewing the Role of Artificial Intelligence in Autonomous Driving Systems

    Yufei Chen    DOI:https://doi.org/10.56028/aetr.1.15.1811.2025    pp. 1811-1815 Abstract    The advent of autonomous driving systems represents a major transformation in both personal and public transportation. To some extent, it redefines the way people travel. Achieving this goal depends on improving safety and efficiency, making transportation more convenient. Artificial intelligence is...   Download PDF
  • Vibration-based Damage Detection: Identifying the damage in the bridge

    Shing Kong,Chenhao Yang,Chenhao Yang    DOI:https://doi.org/10.56028/aetr.1.15.1816.2025    pp. 1816-1821 Abstract     This study investigates vibration-based damage detection techniques through controlled experiments on a model bridge. The experiment measured vertical accelerations under various load conditions and structural states to assess how damage influences natural frequencies. Fast Fourier Transform (...   Download PDF
  • Toward Safer Nanotechnology: Eco-friendly Strategies for Nanoparticle Fabrication

    Junwei Huang    DOI:https://doi.org/10.56028/aetr.1.15.1822.2025    pp. 1822-1829 Abstract    Nanomaterials play a central role in various technological and biomedical applications due to their unique chemical and physical properties. Among the various fabrication methods, chemical reduction is the most widely used approach, offering high efficiency and precise control over particle size and...   Download PDF
  • Reflections on the Application of Artificial Intelligence in Geographic Information Science Based on AI Prediction Functions

    Jiayi Lin    DOI:https://doi.org/10.56028/aetr.1.15.1830.2025    pp. 1830-1835 Abstract    In recent years, with the increasing prominence of artificial intelligence topics, more and more people are investing greater efforts in AI, big data analysis, and related fields. These efforts have yielded substantial returns, as evidenced by the emergence of ChatGPT, DeepSeek, Claude, and numerous...   Download PDF
  • Design and Development of Nitride Ferroelectric Memory Devices

    Yinghao Xiao    DOI:https://doi.org/10.56028/aetr.1.15.1836.2025    pp. 1836-1843 Abstract    To address the inherent “memory wall” bottleneck of the von Neumann computing architecture and meet the growing demand for high-energy-efficiency non-volatile storage, ferroelectric memory technology is regaining widespread attention from both academia and industry. However, traditional perovskite-b...   Download PDF
  • Re-evaluation on the safety of Erythrosine as a food additive: Structural Mechanism Comparison of the phased-out Red No. 3 and Natural Colorants as alternatives

    Guanxi Li,Maddy Hsu,Yitong Zhou    DOI:https://doi.org/10.56028/aetr.1.15.1844.2025    pp. 1844-1853 Abstract     The safety of artificial food colorants, particularly the Red Dye No. 3 (erythrosine), has become the centre of public health concerns. This type of artificial dye was once widely used in the food industry due to its vivid color and photostability. It has now been connected to potential health...   Download PDF
  • An Introductory Survey of Artificial Intelligence: Concepts and Key Models

    Shanglin Wu    DOI:https://doi.org/10.56028/aetr.1.15.1854.2025    pp. 1854-1861 Abstract    Artificial intelligence(AI) is an emerging subfield of computer science. A hundred years ago, it was unimaginable for people to conceive of a machine that could study as a human. At an early stage of artificial intelligence, the father of artificial intelligence, Alan Turing, designed an advanced te...   Download PDF
  • The molecular mechanisms of bovine β-casein (CSN2) gene regulation in human metabolic diseases based on bioinformatics analysis

    Qingzhu Yang    DOI:https://doi.org/10.56028/aetr.1.15.1862.2025    pp. 1862-1871 Abstract    β-Casein is one of the main protein components in the Bovine milk, encoded by the CSN2 gene. This protein exists in several variants, with A1 and A2 being the most common. Studies suggest that A1 β-casein can release a bioactive peptide, β-casomorphin-7 (BCM-7), during digestion, which is thought to...   Download PDF
  • The Regulatory Mechanisms of Lactate: Insights into Metabolic Homeostasis, Immune Modulation, and Tumor Microenvironment

    Junyi Li    DOI:https://doi.org/10.56028/aetr.1.15.1872.2025    pp. 1872-1882 Abstract    Lactate was long regarded as a harmful byproduct of anaerobic respiration, but with recent in-depth research, its multiple key roles in the human body have been revealed. This article systematically reviews the metabolic regulation mechanisms, immune functions of lactate, and its role in cancer. In ...   Download PDF
  • The Role of Artificial Intelligence in Mental Health Diagnosis and Treatment

    Ruiwen Yang    DOI:https://doi.org/10.56028/aetr.1.15.1883.2025    pp. 1883-1890 Abstract    Artificial intelligence (AI) is reshaping the field of mental health, with particularly strong potential in diagnosis and treatment. In diagnostics, AI systems can perform disease classification, risk prediction, early screening, and emotion recognition. Research shows that multimodal models combini...   Download PDF
  • Ecotoxicological Effects of Nanoplastics on Aquatic Organisms

    Yushan Song    DOI:https://doi.org/10.56028/aetr.1.15.1891.2025    pp. 1891-1906 Abstract    The health of aquatic ecosystems is a cornerstone of global environmental security and human well-being. As an emerging contaminant, nanoplastics (NPs) have attracted widespread attention due to their pervasive presence in production processes and the environment, high bioavailability, and potential...   Download PDF
  • Research on a Multi-Scale Intelligent Recommendation Method for College Entrance Examination Volunteer Selection Based on Grey Correlation and Information Matching

    Jiwen Hu    DOI:https://doi.org/10.56028/aetr.1.15.1907.2025    pp. 1907-1916 Abstract    The National College Entrance Examination (Gaokao) is the core mechanism for talent selection in China’s education system and a crucial milestone in students’ academic careers. With the gradual implementation of the new Gaokao reform across the country, the process of filling out college application...   Download PDF
  • Research Progress of Hydrogen-rich Superconducting Materials under High Pressure

    Xuanchang Zhao    DOI:https://doi.org/10.56028/aetr.1.15.1917.2025    pp. 1917-1921 Abstract     In recent years, hydrogen-rich high-temperature superconducting materials such as H3S and LaH10 discovered by scientists under ultra-high pressure have continuously broken the record of superconducting critical temperature, bringing hope for the ultimate realization of room-temperature superco...   Download PDF
  • Applications in Industrial Automation: Current Status and Future Directions

    Linchen Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1922.2025    pp. 1922-1928 Abstract    With the increasing application of new-generation information technologies in the production and manufacturing sectors, the era of Industry 4.0 has arrived. As a branch discipline of computer science, artificial intelligence plays a crucial role in promoting the automation of industrial production. ...   Download PDF
  • A Neural Network Fusion Feature Selection for Network Intrusion Detection

    Wenhao Jiang,Zheng Li    DOI:https://doi.org/10.56028/aetr.1.15.1929.2025    pp. 1929-1936 Abstract    Network Intrusion Detection often utilized to shield computer networks from a multitude of attacks, poses a significant challenge in the realm of system and network security due to the pervasive nature of network threats. At present, Deep Learning methods of Neural Networks are often used in Network...   Download PDF
  • A Fusion Network Intrusion Detection Model Based on CNN-LSTM

    Wenhao Jiang, Zheng Li    DOI:https://doi.org/10.56028/aetr.1.15.1937.2025    pp. 1937-1943 Abstract     The explosive growth of network and Internet traffic has brought unprecedented challenges. Existing network intrusion detection systems are unable to cope with unknown network attacks and achieve real-time network response. To solve this problem, this paper proposes a hybrid deep learning mode...   Download PDF
  • A study of the influence of the front and rear wing interference on the lift characteristics of the ‘diamond-back’ wing kit

    Yonghong Li,Xinlan He,Dawei Liu,Shengzhan Chen,Xin Peng,Yong Huang    DOI:https://doi.org/10.56028/aetr.1.15.1944.2025    pp. 1944-1951 Abstract    The ‘diamond-back’ wing kit is connected by hinges with the front and rear wings, which can be folded and expanded. As folded, it can be attached to the surface of the missile body. The ‘diamond-back’ wing kit will have good prospects for application in future embedded weapon systems under condition...   Download PDF
  • Measurement method of flexibility coefficient of large deformation elastic model

    Jing Liu,Peng Zhang,Kunming Wang,Binbin Lv,Hongtao Guo    DOI:https://doi.org/10.56028/aetr.1.15.1952.2025    pp. 1952-1956 Abstract    The measurement method of flexibility coefficient is to apply load step by step with a quantitative loading system, and measure the flexibility coefficient by "fixed-point loading, multi-point measurement". In the case of deformation, the deformation value of the measured point of the model is measu...   Download PDF
  • Investigation methods and application cases of thallium-related pollution sources in mining enterprises

    Fang Wang,Xiaohui Chen,Liangliang Wu    DOI:https://doi.org/10.56028/aetr.1.15.1957.2025    pp. 1957-1963 Abstract    Based on data collection, field investigation, sampling and monitoring, statistical analysis of data, an innovative method combining field investigation and monitoring data was proposed. Taking a typical copper mining enterprise as an example, this method is applied to investigate the thallium-relat...   Download PDF
  • Carbon emission accounting method of construction project during construction period

    Fang Wang    DOI:https://doi.org/10.56028/aetr.1.15.1964.2025    pp. 1964-1970 Abstract    In the environmental impact assessment of construction projects, construction projects often involve a number of projects, and the construction period is complex, and there are many energy-saving and emission reduction links. Therefore, it is difficult to objectively and scientifically establish a s...   Download PDF
  • Recent Advances in Material Innovation and Efficiency Enhancement for Perovskite/Silicon Tandem Solar Cells

    Yukun Lin    DOI:https://doi.org/10.56028/aetr.1.15.1971.2025    pp. 1971-1979 Abstract    Two-terminal and four-terminal perovskite/silicon tandem solar cells harness the absorption and electronic properties of metal-halide perovskites and crystalline silicon to surpass the single-junction PV limit imposed by the Shockley–Queisser limit. In this context, recent material innovations, inte...   Download PDF
  • Several Characteristics In Massive MIMO Systems

    Shaohao Wang    DOI:https://doi.org/10.56028/aetr.1.15.1980.2025    pp. 1980-1985 Abstract    Massive Multiple-Input Multiple-Output has emerged as a key enabler for 5G and beyond wireless communication systems. By employing a very large number of antennas at the base station, Massive MIMO achieves significant improvements in spectral efficiency, energy efficiency, and system reliability com...   Download PDF
  • Navigation and Bearing-only Cascade Formation Control for Robots Using Panel and Leader-Follower Method

    Qing Han,Biao He,Jinping Chen,Haochuan Wan,Jianxiong Zhang    DOI:https://doi.org/10.56028/aetr.1.15.1986.2025    pp. 1986-1996 Abstract    This paper proposes an autonomous navigation method for a leader robot based on the panel method. Bearing-only cascade formation control for robots are achieved using a leader-follower approach and is found to be effective in complex obstacle environments, which is a single-directional cascade ...   Download PDF
  • Study on the Determination Method of Atomizing Agent Content in Heat-not-burn Reconstituted Tobacco by Microwave Technology

    Ben Liu,Yuxing Tong,Yang Yu,Yaning Zhu,Hao Shu,Ziwei Wang,Bei Jin,Li Zhou,Song Gao    DOI:https://doi.org/10.56028/aetr.1.15.1997.2025    pp. 1997-2005 Abstract    This paper presents an online determination system for atomizer content in heat-not-burn reconstituted tobacco established by a dual-band microwave sensor independently developed. Employing Ridge regression analysis, collinear variables were effectively eliminated, and combined with gas chromat...   Download PDF
  • Numerical Investigation on the Performance of Plate Heat Exchangers for Core and Bypass Ducts in High-Speed Micro Aero-Engines

    Xingao Shu,Chen Xia    DOI:https://doi.org/10.56028/aetr.1.15.2006.2025    pp. 2006-2012 Abstract    This paper utilizes the Computational Fluid Dynamics (CFD) method to systematically investigate the influence of cold-side (Recold) and hot-side (Rehot) inlet Reynolds numbers on the heat transfer, flow performance, and thermodynamic irreversibility (entropy generation) of an annular plate heat exch...   Download PDF
  • Investigation of the Effect of Relative Circumferential Position on a Tandem Conformal Diffuser in a Mixed-Flow Compressor

    Jiachen Xu,Cheng Zhang,Yongqiang Long    DOI:https://doi.org/10.56028/aetr.1.15.2013.2025    pp. 2013-2020 Abstract    Tandem diffusers are widely employed to broaden the operating range and mitigate aerodynamic losses in compressors. However, they often suffer from significant accumulation of low-momentum fluid near the end walls, resulting in flow non-uniformity at the diffuser outlet. To address this issue, this ...   Download PDF
  • Numerical Investigation of an Embedded-Configuration Evaporating Tube-Type Combustor

    Jiayong Chen,Yubing Lei    DOI:https://doi.org/10.56028/aetr.1.15.2021.2025    pp. 2021-2028 Abstract    To address the trend of the axial position of the inlet diffuser outlet extending downstream in micro/small aero-engine combustors, an embedded combustor layout is proposed, featuring the combustor liner head positioned forward within the cavity adjacent to the diffuser hub side, thereby effectively...   Download PDF
  • Research on a Hypotension Prediction Model for Hemodialysis Based on LSTM Algorithm

    Minghuai Li,Keqin Zhang,Hongwei Kong,Fangjian He    DOI:https://doi.org/10.56028/aetr.1.15.2029.2025    pp. 2029-2038 Abstract    Addressing the challenge of predicting hypotension during hemodialysis, this study proposes a forecasting model based on Long Short-Term Memory (LSTM) networks. By integrating multidimensional physiological data collected during hemodialysis—including blood pressure, heart rate, and ultrafiltration ...   Download PDF
  • STRMA:Spatial Temporal Reversal Memory Autoencoder for Traffic Flow Prediction

    Xingkai Wang    DOI:https://doi.org/10.56028/aetr.1.15.2039.2025    pp. 2039-2049 Abstract    Urban trajectory data contains rich semantic and behavioral information, among which traffic trajectory data is a key technical support in intelligent transportation systems. Therefore, this article focus on solving traffic flow prediction. Currently, most methods employ temporal and spatial modeli...   Download PDF
  • Optimal Control Based Trajectory Planning for an Autonomous vehicle on Curvy Roads

    Bozhen Li    DOI:https://doi.org/10.56028/aetr.1.15.2050.2025    pp. 2050-2064 Abstract    We proposed a trajectory optimization method for curvy road environments containing irregular embedded obstacles. A novel framework is developed to ensure safety and smoothness of trajectory by combining a Spatial Safety Corridor (SSC) with an Optimal Control Problem (OCP). The Spatia...   Download PDF
  • Helicopter Formation Cooperative Command System Architecture with Fused Unmanned System

    Ningyuan Yang,Hantao Zhao,Di Sun,Zhanjiao Liu    DOI:https://doi.org/10.56028/aetr.1.15.2065.2025    pp. 2065-2075 Abstract    A helicopter formation cooperative command system architecture integrating unmanned systems is proposed in the context of multi-platform heterogeneous formation combat missions. With the four-layer module of "perception-fusion-decision-execution" as the core, the system constructs an intelligent coo...   Download PDF
  • Application of Microbial Intestinal Brain Axis Theory in the Nursing of Autism Spectrum Disorder

    Yixiao Song    DOI:https://doi.org/10.56028/aetr.1.15.2076.2025    pp. 2076-2081 Abstract    Autism spectrum disorder (ASD) is a neurodevelopmental disorder centered around social disorders and stereotyped behavior, with its global prevalence increasing year by year. Traditional behavior and medication interventions have limited effectiveness. In recent years, the progress of the microbiot...   Download PDF
  • Application of Computer Vision in Helicopter Obstacle Detection and Avoidance

    Ningbo Zhang,Kangming Du,Xingcheng Zhao    DOI:https://doi.org/10.56028/aetr.1.15.2082.2025    pp. 2082-2089 Abstract    This paper explores the application of computer vision technology in helicopter obstacle detection and avoidance. A multi-sensor fusion and deep learning-based obstacle detection system was developed, employing an improved YOLOv5s model for real-time recognition. The system demonstrated excellent pe...   Download PDF
  • A Bibliometric Analysis of the Impact of Air Pollutants on Cognitive Function: Global Trends and Research Hotspots (2005–2025)

    Ruxin Fan    DOI:https://doi.org/10.56028/aetr.1.15.2090.2025    pp. 2090-2103 Abstract    This study conducts a bibliometric analysis to explore global research trends and hotspots in the impact of air pollutants on cognitive function from 2005 to 2025. A total of 307 English articles retrieved from the Web of Science Core Collection were analyzed using CiteSpace and VOSviewer. The resul...   Download PDF
  • Research Progress on the Inhibition of Glioma Invasion and Migration by Cannabidiol Nanoformulations Based on Modulation of the GADD45/CDC2 Signaling Axis

    Yipin Zheng    DOI:https://doi.org/10.56028/aetr.1.15.2104.2025    pp. 2104-2120 Abstract    Glioma, the most common malignant tumor of the central nervous system, significantly impacts patient treatment outcomes and survival rates due to its highly invasive and migratory nature. Consequently, exploring effective therapeutic strategies represents a critical focus in current oncology researc...   Download PDF
  • Advances in the Applications of Metabolic Engineering in Synthetic Biology

    Shilu Lin    DOI:https://doi.org/10.56028/aetr.1.15.2121.2025    pp. 2121-2127 Abstract    Metabolic engineering, a core pillar of synthetic biology, enables the precise reprogramming of cellular metabolism for efficient production of valuable compounds. This review outlines recent advances in genome editing, pathway construction, and dynamic regulation strategies that underpin modern met...   Download PDF
  • Resolvent-Based ROM and Feedback Control for NACA0012 Airfoil Flow

    Pengxiao Jiang,Bo jin    DOI:https://doi.org/10.56028/aetr.1.15.2128.2025    pp. 2128-2133 Abstract    This study investigates resolvent-based model reduction and robust feedback control for separated flow over a NACA0012 airfoil at low Reynolds number. The incompressible Navier–Stokes equations are linearized about a steady base flow, and the resulting resolvent operator is sampled in the frequency ...   Download PDF
  • Aerodynamic design of a radially-segmented 2-DOF VIGV for suppressing swirl distortion

    Zekun Mao,Hongxin Zhang    DOI:https://doi.org/10.56028/aetr.1.15.2134.2025    pp. 2134-2142 Abstract    To address the challenges of leading-edge angle of attack mismatch  in axial flow compressors under high swirl distortion conditions, this paper proposes a design method for a two-degree-of-freedom (2-DOF) variable-camber inlet guide vane (VIGV) with anti-swirl distortion capabilities. The desi...   Download PDF
  • Data-Driven Assessment of Basin-Scale Water Information Aggregation: A Comparative Study of Qinghai and Gansu for Smart Water Conservancy

    Chenchen Cui,Jing Bai,Jing Wang    DOI:https://doi.org/10.56028/aetr.1.15.2143.2025    pp. 2143-2149 Abstract    High-quality hydrological and engineering data are a prerequisite for smart water conservancy. Basin management agencies routinely collect large, multi-source datasets describing rivers, reservoirs, diversion projects, sluice gates, pumping stations, intake structures, hydrometric sections, and othe...   Download PDF
  • Research on fragment dispersion characteristics of focused warhead with eccentric initiation

    Mingze Li,Peizhuo Shi,Wang Yao,Shuangxing Liu,Junxian Li,Yongxiang Dong    DOI:https://doi.org/10.56028/aetr.1.15.2150.2025    pp. 2150-2160 Abstract    To enhance the damage effectiveness of focused warheads against targets, the research investigates the effects of the number and positions of eccentric initiation points on fragment dispersion characteristics in focused warheads. First, the numerical simulation was verified via central initiation ex...   Download PDF
  • A Dynamic Risk Assessment Method for Vehicles at Intersections Considering Imminent and Collision Risks

    Siman Wu,Pengrui Li,Miaomiao Liu,Doudou Liu,Shengrui Wei,Mingyue Zhu,Xiaochen Liu,Hui Deng    DOI:https://doi.org/10.56028/aetr.1.15.2161.2025    pp. 2161-2166 Abstract    Most of the traditional dynamic risk assessment methods for vehicles use parameters such as distance and speed to describe the current motion relationship between a traveling vehicle and surrounding objects, which cannot well describe the risk associated with potential future collisions of multidire...   Download PDF
  • Research on the Measurement of Sea Area Use and Technology Development Trends Based on Blue Ocean

    Yanxiang Liu,Jing Xie,Cunliang Xing,Hualuan Wang,Xiaowei Yao,Ying Gao,Mingliang Li,Haichen Sui    DOI:https://doi.org/10.56028/aetr.1.15.2167.2025    pp. 2167-2173 Abstract    The ocean is the cradle of life and a regulator of the environment. The development and utilization of marine areas constitute a vital aspect of national socio-economic development. Marine spatial use surveying serves as a critical technical link connecting "marine resources - ecological environment...   Download PDF
  • Research on Reliability Design of Electromagnetic Compatibility System in Power Supply System

    Ming Gao,Zhenhua Lu,Changjun Rong,Ying Li,XiaoLei Fan    DOI:https://doi.org/10.56028/aetr.1.15.2174.2025    pp. 2174-2181 Abstract    Electromagnetic compatibility (EMC) is an important factor in power system design. In modern electronic equipment, the reliability design of the power supply system is very important to ensure the stability of the equipment. Based on this, this paper mainly studies the electromagnetic compatibi...   Download PDF
  • Shenfu Injection protects PC12 cells from oxygen-glucose deprivation by the NOS/NO pathway

    Meiwen Yang,Yalan Shao,Ziyi Li,Fenfang Hong,Shulong Yang    DOI:https://doi.org/10.56028/aetr.1.15.2182.2025    pp. 2182-2191 Abstract    Objective:To study whether the protective effect of Shenfu injection on PC12 cells damaged by Oxygen-glucose deprivation (OGD) involves NOS/NO pathway. Methods: PC12 cells co-incubated with a final concentration of 20.00mmol/L Na2S2O4 for 24 hours was used as an OGD induced damaged in vitro model of...   Download PDF
  • Shenfu injection improves cognitive dysfunction in vascular dementia mouse model via the NOS/NO pathway

    Meiwen Yang,Sijing Rao,Wen Huang,Fenfang Hong,Shulong Yang    DOI:https://doi.org/10.56028/aetr.1.15.2192.2025    pp. 2192-2202 Abstract    Obsjective: To investigate the treatment effects and underline mechanism of Shenfu injection on cognitive dysfunction in vascular dementia(VD) model mice. Methods: Male mice were randomly divided into a Sham, VD, SFI, L-Arg, and L-NAME group. VD mouse was made by repeat...   Download PDF
  • Predicting Maize Productivity Under Climate Change in the Semiarid Region of Northwest China Through the AquaCrop Model

    Tao Zhang,Cong Dai,Xinglong Tang,Qinghui Yang,Tao Liang,Bin Feng    DOI:https://doi.org/10.56028/aetr.1.15.2203.2025    pp. 2203-2214 Abstract    An increasingly warm, dry climate and the rise in atmospheric carbon dioxide concentration are having profound impacts on agricultural production. Maize (Zea mays L.) is the second most important cereal crop in Gasu province of China, playing a key role in national food security. The objective of th...   Download PDF
  • Integrated Technical Pathways for Multi-Source Heterogeneous Water Conservancy Data: A Case Study of the Ili Prefecture Business Data Access Scheme

    Chenchen Cui,Jing Bai,Xiaoheng Chen    DOI:https://doi.org/10.56028/aetr.1.15.2215.2025    pp. 2215-2220 Abstract    Water conservancy data—serving as the core foundation for water resources management, flood and drought disaster prevention, ecological protection, and hydraulic engineering operations—originate from diverse sources, vary significantly in structure, and exhibit different requirements for timeliness....   Download PDF
  • A Review of Synchronous Fixed-Frequency Microgrid Control Methods and Power Allocation Strategies

    Shao Liu,Weifang Lin,Xiaoyu Ren    DOI:https://doi.org/10.56028/aetr.1.15.2221.2025    pp. 2221-2232 Abstract    Guided by the dual-carbon goal, new energy generation has become the focus due to its environmentally friendly, renewable and low-emission characteristics. As a bridge for the transformation of the smart grid, the microgrid effectively integrates distributed energy resources and loads to promote the...   Download PDF
  • Improved NSGA-II for Multi-Objective Optimization of Acoustic Array GDOP under Physical Constraints

    Runze Zhang,Yichun Yang    DOI:https://doi.org/10.56028/aetr.1.15.2233.2025    pp. 2233-2240 Abstract    To address the issue of restricted array layout in wide-area acoustic monitoring, an improved NSGA-II multi-objective optimization algorithm that integrates the feasible region hard constraint initialization (FDHCI) strategy is proposed. This algorithm aims to minimize the geometric accura...   Download PDF
  • Stability analysis of a roadside slope in Xinjiang under the influence of construction disturbance

    Bo Sha,Bangxin Zhang,Fan Yang,Ningyang Feng,Xiaogang Liu,Hui Wu,Lei Qi,Dongming Peng,Ziyang Huang,Hongwei Li,Chunyu Long    DOI:https://doi.org/10.56028/aetr.1.15.2241.2025    pp. 2241-2249 Abstract    Affected by continuous construction disturbance, the stability coefficient of a slope is calculated to be 0.95, which does not meet the requirements of slope stability; in order to prevent slope destabilization and damage, two kinds of reinforcement schemes are formulated, scheme 1 is “circular anti...   Download PDF
  • Effect of mix proportion on the uniaxial tensile properties of polypropylene fibre cementitious composites

    Peiwen Wang,Jiazu Shao,Rui Guo    DOI:https://doi.org/10.56028/aetr.1.15.2250.2025    pp. 2250-2262 Abstract    Numerous studies have proven that the incorporation of fibre-reinforced composites significantly increases the tensile strength of cement mortar. In this work, to further explore the influence laws of three factors, namely, the fly ash content, water-binder ratio, and sand-binder ratio, on the ultim...   Download PDF
  • A Sample-Enhanced Prediction Method for Insulation Life Assessment of Pumped Storage Units

    Xinghe Fu,Kai Hou,Ling Yang,Xuechun Hu    DOI:https://doi.org/10.56028/aetr.1.15.2263.2025    pp. 2263-2268 Abstract    Pumped storage units, serving as core equipment for electrical energy storage, peak shaving, and frequency regulation in new power systems, play a critical role in ensuring the reliability of power supply and the efficiency of energy utilization. This study reviews and compares mainstream methods fo...   Download PDF
  • Multi-source information classification evaluation and status monitoring of Synchronous condenser excitation system

    Xinghe Fu,Dingyu Guo,Kai Hou,Xuechun Hu    DOI:https://doi.org/10.56028/aetr.1.15.2269.2025    pp. 2269-2275 Abstract    The excitation system of the synchronous condenser plays a significant role in reactive power regulation and maintaining voltage stability. The existing information classification of the excitation system is not perfect and the comprehensive analysis of multiple variables is insufficient, making it ...   Download PDF
  • Scientific Analysis and Research on the Mural Paintings of the Yunti'an Temple in Beijing Shangfangshan National Forest Park

    Jiaye Li,Jingyu Ma    DOI:https://doi.org/10.56028/aetr.1.15.2276.2025    pp. 2276-2286 Abstract    This study focuses on the Ming Dynasty murals in the Yunti Temple at Shangfangshan National Forest Park, Beijing, employing a comprehensive approach that integrates on-site non-destructive testing with laboratory micro-area analysis techniques to systematically conduct multidimensional research from...   Download PDF
  • Research on the thermal protection performance of fireproof and heat-insulating materials with different thicknesses

    Wei Liu,Sen Zhao,Kai Xiang,Hao Yang,Xiaoning Luo,Ailing Hao    DOI:https://doi.org/10.56028/aetr.1.15.2287.2025    pp. 2287-2292 Abstract    This study systematically analyzes the protective performance of aerogel thermal insulation materials against the thermal runaway of battery modules through a combination of experiments and numerical simulations. The results show that wrapping with fireproof and thermal insulation materials can sign...   Download PDF
  • Applications of Artificial Intelligence Technology in the News Media Sector

    Hauwen Wu    DOI:https://doi.org/10.56028/aetr.1.15.2293.2025    pp. 2293-2301 Abstract    The application of artificial intelligence algorithms in news media systems is gradually forming an intelligent content ecosystem driven by deep models. We have constructed a multi module intelligent system that integrates Transformer, BERT, and knowledge graph, covering three major functions: seman...   Download PDF
  • Design and Simulation of Intelligent Harvesting Device for Daylily

    Jiajun Liu,Renjie Peng,Jingjing Chen,Junxiang Ruan,Yazi Li,Rong Wang    DOI:https://doi.org/10.56028/aetr.1.15.2302.2025    pp. 2302-2316 Abstract    In view of the prevalent issues of low efficiency, high labor demands, and elevated costs associated with daylily harvesting in most cultivating regions, an automated daylily harvesting device was meticulously designed. This device integrates advanced technologies to address the inherent challenges ...   Download PDF