Gait stability prediction through synthetic time-series and vision-based data by Mauricio C. Cordeiro, Ciaran O. Cathain, Ciaran O. Cathain, Ciaran O. Cathain, Vitor B. Nascimento, Thiago B. Rodrigues

“…SHAP analysis revealed that the synthetic data approach enhanced feature attribution alignment with established principles, particularly for step width, BMI, and fall history.DiscussionTherefore, our results show that: (1) synthetic data accurately replicated gait parameters with high fidelity; (2) synthetic data-trained models outperformed real data-trained models in MoS prediction; and (3) step width, BMI, and fall history were the most significant predictors of MoS in older adults. …”
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ANALYSIS OF HIGH SPEED HYDROSTATIC BEARING’S PERFORMANCE CONSIDERING THERMAL EFFECT OF LUBRICATION FLUID by CHEN Yuan, LIU GuiPing, LIN LuSheng

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Factors Associated with COVID-19 Mortality in Mexico: A Machine Learning Approach Using Clinical, Socioeconomic, and Environmental Data by Lorena Díaz-González, Yael Sharim Toribio-Colin, Julio César Pérez-Sansalvador, Noureddine Lakouari

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Reducing maladaptive behavior in neuropsychiatric disorders using network modification by Nicholas M. Timme

“…Furthermore, we found that it was possible to predict effective treatments with limited knowledge of the model and that information about neural activity during certain types of trials was more helpful in predicting treatment than information about model parameters. We hypothesize that this is a general feature of developing effective treatment strategies for networks of neurons. …”
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YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment by Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun

“…Specifically, YOLOLS integrates GhostConv to generate feature maps through stepwise convolution, reducing computational redundancy while preserving representational capacity. …”
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Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…Compared to benchmarking models, the proposed approach consistently achieves the lowest forecast error. Computational complexity is minimized with 100 parameters and training time of 2 s. …”
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Parametric Design of Railway Vehicle Axle Based on Secondary Development Technology of SolidWorks by 陈建, 米彩盈

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Perception-Based H.264/AVC Video Coding for Resource-Constrained and Low-Bit-Rate Applications by Lih-Jen Kau, Chin-Kun Tseng, Ming-Xian Lee

“…With the rapid expansion of Internet of Things (IoT) and edge computing applications, efficient video transmission under constrained bandwidth and limited computational resources has become increasingly critical. …”
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Machine Learning-Enhanced Model-Based Optical Proximity Correction Framework With Convolutional Neural Network-Based Variable Threshold Method Near the Diffraction Limit by Jinhao Zhu, Liwan Yue, Ying Li, Xianhe Liu, Qiang Wu, Qi Wang, Yanli Li

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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…Emotion recognition plays an essential role in human-computer interaction, spanning diverse domains from human-robot communication and virtual reality to mental health assessment and affective computing. …”
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Ferroelectric Transistor-Based Synaptic Crossbar Arrays: The Impact of Ferroelectric Thickness and Device-Circuit Interactions by Chunguang Wang, Sumeet Kumar Gupta

“…Offering CMOS compatibility, nonvolatility, compact bit cell, and CiM-amenable features, such as multilevel storage and voltage-driven conductance tuning, FeFETs are among the foremost candidates for synaptic devices. …”
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Scanning Electron Microcopy Analysis after Electrical Discharge Machining of Advanced Ni-Based Alloy by Anand Pandey, Ashish Goyal, Ranjan Walia, Varun Jurwall

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Impaired intestinal calcium absorption and osteopathy in ICR/Mlac-hydro mice with hypoparathyroidism and severe hydronephrosis by Panan Suntornsaratoon, Kannikar Wongdee, Nithipak Thammayon, Jarinthorn Teerapornpuntakit, Nattapon Panupinthu, Wacharaporn Tiyasatkulkovit, Sarawut Lapmanee, Krittikan Chanpaisaeng, Surachai Chantip, Narattaphol Charoenphandhu

“…Ultra-high resolution micro-computed tomography further revealed defects in the trabecular bone microstructure, consistent with several abnormalities of bone histomorphometric parameters, e.g., reductions in osteoblast surface, active erosion surface, mineral apposition rate and bone formation rate. …”
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Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow by Amin Gharehbaghi, Redvan Ghasemlounia, Shahaboddin Daneshvar, Farshad Ahmadi

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Optimization of a Heavy-Duty Hydrogen-Fueled Internal Combustion Engine Injector for Optimum Performance and Emission Level by Murat Ozkara, Mehmet Zafer Gul

“…The optimization focused on two critical geometric parameters: injector hole count and injection angle. …”
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Corn-associated weed detection model based on WAAP-YOLO by Zhiyong MENG, Yawei JIA, Xiuqing ZHANG, Yongjing NI, Ming ZHANG, Qi WU, Chenxi WU

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Spatial and Channel Attention Integration with Separable Squeeze-and-Excitation Networks for Image Classifications by Nazmul Shahadat, Shleshma Regmi, Anup Rijal

“…Furthermore, we introduce a novel separable strategy in the SE block, enabling effective feature re-calibration across space with reduced computational cost. …”
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A novel end-to-end learning framework for inferring lncRNA-disease associations based on convolution neural network by Shunxian Zhou, Sisi Chen, Jinhai Le, Yangtai Xu, Lei Wang

“…IntroductionIn recent years, lots of computational models have been proposed to infer potential lncRNA-disease associations.MethodsIn this manuscript, we introduced a novel end-to-end learning framework named CNMCLDA, in which, we first adopted two convolutional neural networks to extract hidden features of diseases and lncRNAs separately. …”
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A lightweight context-aware framework for toxic mushroom detection in complex ecological environments by Zhanchen Wei, Jiali Wang, Haohai You, Ruiqing Ji, Fude Wang, Lei Shi, Helong Yu

“…PM-YOLO achieves multi-scale feature alignment through hierarchical context fusion, performs adaptive attention weighting for morphological variations, and maintains a low computational cost while significantly improving accuracy. …”
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Prediction of Ki-67 expression in gastric gastrointestinal stromal tumors using histogram analysis of monochromatic and iodine images derived from spectral CT by Xianwang Liu, Tao Han, Yuzhu Wang, Hong Liu, Juan Deng, Caiqiang Xue, Shenglin Li, Junlin Zhou

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