由TIMSS 2019電腦化測驗檢視 臺灣學生表現之模式效應及數位落差現象 The Mode Effects and Digital Divide Among Taiwanese Students Based on the TIMSS 2019 Computer-Based Testing... by 陳冠銘 Kuan-Ming Chen, 許添明 Tian-Ming Sheu, 任宗浩 Tsung-Hau Jen

“…In the digital age, the transition to CBT is inevitable as technology continues to transform education and assessment practices. The integration of digital tools in learning environments makes the adoption of CBT essential for aligning with modern educational needs while offering more interactive and efficient assessment methods. …”
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Ethical dilemmas concerning orthodontic treatment among orthodontists in a sample from Saudi Arabia: a pilot study by Nawaf H. Al Shammary, Abdulrahman K. Alshammari

“…Method This was a questionnaire-based cross-sectional study that was adapted from the scenarios of ethical dilemmas presented by Jerrold in 1998. …”
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Theoretical and experimental investigations of the CMOS compatible Pirani gauges with a temperature compensation model by Shizhen Xu, Gai Yang, Junfu Chen, Rui Jiao, Ruoqin Wang, Hongyu Yu, Huikai Xie, Xiaoyi Wang

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Modeling and coverage analysis of heterogeneous sub-6GHz-millimeter wave networks by Cheng Pan, Yi Guo, Gang Liu, Haiyang Ding, Zhihang Fu

“…The expressions of the coverage probability are derived by using the interference calculation method of integrating the nearest sector exclusion area. …”
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ORPSD: Outer Rectangular Projection-Based Representation for Oriented Ship Detection in SAR Images by Mingjin Zhang, Yuanjun Ouyang, Minghai Yang, Jie Guo, Yunsong Li

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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…A comprehensive comparative analysis was conducted against multiple linear regression (MLR), ELM, gated recurrent unit (GRU), and convolutional-long short-term memory (C-LSTM) methods. Results demonstrate that the proposed method can accurately predict displacement variation trends and exhibits superior prediction performance compared to both deep learning and non-deep learning comparative methods, with RMSE and MAE reduced by 10.73% and 4.37% respectively compared to the second-best method, achieving an R² of 0.987 1. …”
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Design and Field Experiment of Synchronous Hole Fertilization Device for Maize Sowing by Feng Pan, Jincheng Chen, Baiwei Wang, Ziheng Fang, Jinxin Liang, Kangkang He, Chao Ji

“…Through the Box–Behnken response surface method, a field multi-factor test was carried out to analyze the mechanism of influence of the implemented forward speed (<i>A</i>), per-hole target fertilizing amount (<i>B</i>), and plant spacing (fertilizer hole interval) (<i>C</i>) on the seed–fertilizer alignment qualification rate (<i>Y</i>₁) and the coefficient of variation in the hole fertilizing amount (<i>Y</i>₂). …”
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Performance and variability analysis of ALD-grown wafer scale HfO2/Ta2O5-based memristive devices for neuromorphic computing by Sanjay Kumar, Sanjay Kumar, Deepika Yadav, Spyros Stathopoulos, Themis Prodromakis

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Full-System Simulation and Analysis of a Four-Mass Vibratory MEMS Gyroscope by Chenguang Ouyang, Wenzheng He, Lu Jia, Peng Wang, Kaichun Zhao, Fei Xing, Zheng You

“…Multiphysics coupling is considered to capture real-world device behavior, followed by quantitative assessment of manufacturing variations through virtual prototyping and experimental validation demonstrating the method’s accuracy and practicality. …”
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Resilience Enhancement for Distribution Networks Under Typhoon-Induced Multi-Source Uncertainties by Naixuan Zhu, Guilian Wu, Hao Chen, Nuoling Sun

“…The results indicate that the proposed method can reduce the load loss cost of the system by 5.112 million and 0.2459 million, respectively.…”
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Tube-Based Robust Model Predictive Control for Autonomous Vehicle with Complex Road Scenarios by Yang Chen, Youping Sun, Junming Li, Jiangmei He, Chengwei He

“…The Tube-based Robust Model Predictive controller ensures robustness by establishing a robust invariant tube around the nominal trajectory, effectively mitigating road surface variations and enhancing stability. Finally, a co-simulation platform integrating CarSim and Simulink is employed to validate the proposed method’s effectiveness. …”
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Boosting Urban Openspace Mapping with the Enhancement Feature Fusion of Object Geometry Prior Information from Vision Foundation Model by Zijian Xu, Jiajun Chen, Hongyang Niu, Runyu Fan, Dingkun Lu, Ruyi Feng

“…To address these issues, this paper proposes UOSAM, a novel approach that leverages the Segment Anything Model (SAM) for efficient UO mapping using high-resolution remote sensing images. Our method employs a pyramid transformer to extract feature pyramids at multiple scales, capturing multi-scale semantic context and addressing the issue of scale variation. …”
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Agroecological assessment of the effectiveness of irrigation  of tomato using electrolyzed water by S. Ya. Semenenko, M. N. Lytov, A. N. Chushkin, E. I. Chushkina

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A Cross-Scale Electrothermal Co-Simulation Approach for Power MOSFETs at Device–Package–Heatsink–Board Levels by Yuxuan Dai, Jiafei Yao, Jing Chen, Qingyou Qian, Maolin Zhang, Jun Zhang, Qing Yao, Chenyang Huang, Mingshun Sun, Yufeng Guo

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A Category–Pose Jointly Guided ISAR Image Key Part Recognition Network for Space Targets by Qi Yang, Hongqiang Wang, Lei Fan, Shuangxun Li

“…Due to the significant variations in the categories and poses of space targets, conventional methods that directly predict identification results exhibit limited accuracy. …”
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Characteristics Investigation on Bearing Performance of a Novel Assembled Micropile Foundation in Overhead Transmission Lines by Yuesong Zheng, Linli Bao, Zhaoxiang Guo, Yi Zhou, Dongya Wu, Wenhao Wang, Bo Xiao, Zhijun Xu

“…Horizontal load resistance primarily relies on steel cylinder–pile interaction, demonstrating less than 3% directional displacement variation, comparable to cast-in-situ foundation integrity. …”
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An intelligent humidity sensing system for human behavior recognition by Huabin Yang, Qiming Guo, Guidong Chen, Yuefang Zhao, Meng Shi, Na Zhou, Chengjun Huang, Haiyang Mao

“…This simple yet intelligent method holds great potential for widespread applications in medical assistance analysis and daily health monitoring.…”
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Validation of Depth-Averaged Flow Model Using Flat-Bottomed Benchmark Problems by Il Won Seo, Young Do Kim, Chang Geun Song

“…These equations are weighted by the SU/PG scheme and integrated by a fully implicit method, which can reproduce physical problems with various properties. …”
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Filtering Property Based on Ultra-Wide Stopband in Double Sector&#x002F;Sectorial-Ring Stub Resonator Coupled to Plasmonic Waveguide by Mingfei Zheng, Hongjian Li, Hui Xu, Zhihui He, Zhiquan Chen, Mingzhuo Zhao

“…This paper provides a promising application for band-stop nanofilters and plasmonic integrated optical circuits.…”
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Asymmetrical estimator for training encapsulated deep photonic neural networks by Yizhi Wang, Minjia Chen, Chunhui Yao, Jie Ma, Ting Yan, Richard Penty, Qixiang Cheng

“…However, the training of PNN is known to be challenging, where the device-to-device and system-to-system variations create imperfect knowledge of the PNN. Despite backpropagation (BP)-based training algorithms being the industry standard for their robustness, generality, and fast gradient convergence for digital training, existing PNN-BP methods rely heavily on accurate intermediate state extraction or extensive computational resources for deep PNNs (DPNNs). …”
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