Mechanism Construction and Path Optimization for Selecting and Training Excellent Primary and Secondary School Teachers under "National Excellent Teachers Program" by HUANG Luhan, CHEN Weiqiong

“…They adopted a collaborative evaluation system characterized by internal consistency, cooperation, quality and efficiency enhancement to achieve the goal of selecting excellent students fit for teaching. …”
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An Autism Spectrum Disorder Identification Method Based on 3D-CNN and Segmented Temporal Decision Network by Zhiling Liu, Ye Chen, Xinrui Dong, Jing Liu

“…This approach not only enhances the efficiency of spatiotemporal feature extraction but also improves the model’s ability to learn complex brain activity patterns. (3) Results: The proposed method was evaluated on the ABIDE dataset, which includes 1035 subjects from 17 different brain imaging centers. …”
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AfaMamba: Adaptive Feature Aggregation With Visual State Space Model for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo, Chanjuan Wang

“…In addition, a lightweight CNN stem is introduced to extract shallow image features, enhancing the model's ability to capture spatial detail information. Extensive experiments conducted on two widely used remote sensing datasets, ISPRS Potsdam and LoveDA, demonstrate that AfaMamba achieves a superior balance between accuracy and efficiency compared to state-of-the-art models.…”
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Geometric modeling of the process of digging trench pits during pipeline repair by F. N. Pritykin, I. S. Kuznetsov

“…Cases are considered when pit digging is performed by a non-modernized singlebucket excavator, an excavator with the ability to rotate the boom section and an excavator with the ability to rotate the bucket. …”
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Mobilization of Transplanted Bone Marrow Mesenchymal Stem Cells by Erythropoietin Facilitates the Reconstruction of Segmental Bone Defect by Jun Li, Zeyu Huang, Bohua Li, Zhengdong Zhang, Lei Liu

“…Bone marrow mesenchymal stem cells (BMSCs) have been identified as an optimal progenitor cell source to facilitate bone repair since they have a higher ability for proliferation and are more easily accessible than mature osteoblastic cells. …”
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THE WORKSHOP METHOD OF CONDUCTING BUSINESS ENGLISH CLASSES BY SECOND YEAR STUDENTS OF THE SPECIALTY «ENTREPRENEURSHIP, TRADE, AND EXCHANGE» by Polina S. Hrytskevyc

“…The methodology was considered in terms of its ability to meet the modern requirements of students. …”
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Multi‐trait multi‐environment genomic prediction of preliminary yield trial in pulse crop by Rica Amor Saludares, Sikiru Adeniyi Atanda, Lisa Piche, Hannah Worral, Francoise Dariva, Kevin McPhee, Nonoy Bandillo

“…Using whole‐ and split‐environment cross validation schemes, MTME‐GP had higher predictive ability than a standard additive G‐BLUP model. Integrating a range of overlapping genotypes in between environments showed improvement on the predictive ability of the MTME‐GP model but tends to plateau at 50%–80% training set size. …”
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How Do Stress Situations Affect Higher-Level Text Processing in L1 and L2 Readers? An Eye-Tracking Study by Ziqing Xia, Chun-Hsien Chen, Jo-Yu Kuo, Mingmin Zhang

“…Existing studies have revealed that the reading comprehension ability of readers can be adversely affected by their psychosocial stress. …”
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A novel cellulose-derived graphite carbon with abundant defects for excellent environmental adaptability and superior wideband microwave absorbents by Guangguang Guan, Jiebai Li, Xiaoqiang Li, Jun Xiang, Yangtao Zhou

“…Besides, the CGC still retains a strong and broadband MA ability in the simulated real harsh environmental conditions (acid rain/alkaline solution, salt spray and strong UV exposure). …”
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Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies by Lixin Mu, Wenhui Liu, Haocheng Wang, Yu Zhang

“…The generated flight paths are optimized in terms of both stability and efficiency, making the algorithm suitable for complex mission scenarios.…”
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Exoplanet Classification Through Vision Transformers with Temporal Image Analysis by Anupma Choudhary, Sohith Bandari, B. S. Kushvah, C. Swastik

“…These transformed images serve as inputs to the vision transformer (ViT) model, leveraging its ability to capture intricate temporal dependencies. …”
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Research on Lightweight Algorithm Model for Precise Recognition and Detection of Outdoor Strawberries Based on Improved YOLOv5n by Xiaoman Cao, Peng Zhong, Yihao Huang, Mingtao Huang, Zhengyan Huang, Tianlong Zou, He Xing

“…The MobileViT attention mechanism module is added to improve the feature extraction ability of small target objects so that the model has higher detection accuracy and smaller module sizes. …”
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Preparation and Performance of Self-healing Polyurethane with Reversible Dual Cross-linked Networks by Yong WANG, Ruofan LIU, Yushun JIN, Wei DING, Yibo WU

“…This kind of material utilized the disulfide bonds in the reversible double bond network and the metal coordination bonds in the Fe3+-coordination-bonded network to interpenetrate and interlock, thus forming a reversible double crosslinked network self-repairing elastomer material with the synergistic action of the two single crosslinked networks. The self-healing ability and mechanical properties of the double crosslinked networks were investigated, and the experimental results showed that the mechanical stress of the FSN network reached 3.5 MPa, and the self-healing efficiency of the polymer was more than 80%. …”
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A compact deep learning approach integrating depthwise convolutions and spatial attention for plant disease classification by Amreen Batool, Jisoo Kim, Yung-Cheol Byun

“…These results highlight the superior performance of the proposed model, demonstrating its ability to outperform state-of-the-art models in terms of accuracy while remaining lightweight and efficient. …”
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Research on mechanical automatic food packaging defect detection model based on improved YOLOv5 algorithm. by Guanyong Liu, Shuai Zhang, Lixin Wang, Xiaoran Li, Gongchen Li

“…By integrating the streamlined YOLOv5s model and adding an Adaptive Spatial Feature Fusion module (ASFF), the model's ability to blend features from different scales was enhanced. …”
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An Optimized Path Planning Method for Coastal Ships Based on Improved DDPG and DP by Yiquan Du, Xiuguo Zhang, Zhiying Cao, Shaobo Wang, Jiacheng Liang, Fengge Zhang, Jiawei Tang

“…Deep Reinforcement Learning (DRL) is widely used in path planning with its powerful neural network fitting ability and learning ability. However, existing DRL-based methods use discrete action space and do not consider the impact of historical state information, resulting in the algorithm not being able to learn the optimal strategy to plan the path, and the planned path has arcs or too many corners, which does not meet the actual sailing requirements of the ship. …”
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Steel Surface Defect Detection Technology Based on YOLOv8-MGVS by Kai Zeng, Zibo Xia, Junlei Qian, Xueqiang Du, Pengcheng Xiao, Liguang Zhu

“…To address the problems of low efficiency and poor accuracy in the manual inspection process, intelligent detection technology based on machine learning has been gradually applied to the detection of steel surface defects. …”
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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…Using this cooperative method not only improves the model’s ability to forecast outcomes accurately but also enables efficient real-time traffic management, with the ability to adapt to changing conditions. …”
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Neural Network and Generalized Extended State Observer Sliding Mode Control of Hydraulic Cylinder Position in the Independent Metering Control System with Digital Valves by Xiangfei Tao, Kailei Liu, Jing Yang

“…The independent metering control system is renowned for its ability to independently regulate the flow and pressure of various actuators, achieving high efficiency and energy savings in hydraulic systems. …”
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Research on Electromagnetic Safety of UAV Inspection in Substation by Wensheng Li, Mengyuan Chen, Haohao Jin, Ying Zhang, Hao Wu, Lin Yi, Li Cai

“…Uncrewed aerial vehicle (UAV) inspections provide significant advantages over traditional manual and robotic methods, such as cost-effectiveness, greater maneuverability, improved efficiency, and the ability to operate in closer proximity to equipment. …”
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