Optimizing physical education schedules for long-term health benefits by Liang Tan, Qin Chen, Jianwei Wu, Mingbang Li, Tianyu Liu

“…These features are combined through a fusion layer, and a customized loss function is employed to accurately predict fitness scores.ResultsExtensive experimental evaluation demonstrates that the proposed model consistently outperforms competitive baseline models. …”
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Batch gradient based smoothing L 2/3 regularization for training pi-sigma higher-order networks by Khidir Shaib Mohamed, Raed Muhammad Albadrani, Ekram Adam, Yan Xiong

“…Training a PSNN requires modifying the weights and coefficients of the polynomial functions to reduce the error between the expected and actual outputs. …”
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Sustainability of Audit Profession in Digital Technology Era: The Role of Competencies and Digital Technology Capabilities to Detect Fraud Risk by Fazlida Mohd Razali, Norhayati Sulaiman, Dewi Izzwi Abdul Manan, Jamaliah Said

“…The skills should be acquired at higher learning institutions and further developed at audit firms to ensure the relevance and sustainability of the audit profession in the era of digitalization.…”
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A model for Managing the Competitive Activitiesof Top-Level Teams Based on Computer Vision Online by Sergei L. Goldstein, Andrey A. Polozov, Natalia V. Papulovskaya, Natalya A. Maltseva, Maxim V. Kraev

“…This is the composition of documentation, subsystems, functional diagram, component diagram, function-component matrix. …”
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Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis by Amane Sugii, Yoshihiro Hiramatsu, Takahiko Uchide, Kazutoshi Imanishi

“…Abstract Recent advances in deep learning have enhanced our ability to analyze seismic waveforms. …”
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Understanding veterinary practitioners' responses to adverse events using a combined grounded theory and netnographic natural language processing approach. by Julie Gibson, Catherine Oxtoby, Marnie L Brennan, Kate White

“…Percentile scores of four summary variables along with relative frequency of function, psychological process and time orientation words used were recorded and compared with content analysis of posts where members discussed euthanasia (n = 471) and animal health certification (n = 419). …”
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Synergizing transformer-based models and financial sentiment analysis: A framework for generative AI in economic decision-making by Nouri Hicham, Nassera Habbat

“…The model is trained with a cross-entropy loss function and fine-tuned using Few-shot Learning, Chain-of-Thought reasoning, and ReAct strategies, ensuring computational efficiency. …”
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Establishment and Test Effect of Artificial Intelligence Optimization Model Based on Convolutional Neural Network by Chunrong Zhou, Zhenghong Jiang

“…In addition, the authors optimized the convolutional layer, pooling layer, and loss function of AL-CNN in different parameters, which improved the stability of noise processing, respectively. …”
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Enhancing Planning for Autonomous Driving via an Iterative Optimization Framework Incorporating Safety-Critical Trajectory Generation by Zhen Liu, Hang Gao, Yeting Lin, Xun Gong

“…Furthermore, two parallel CVAEs (Dual-CVAE) are trained collaboratively by a shared objective function to implicitly model the multi-vehicle interactions. …”
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Listeria monocytogenes InlP interacts with afadin and facilitates basement membrane crossing. by Cristina Faralla, Effie E Bastounis, Fabian E Ortega, Samuel H Light, Gabrielle Rizzuto, Lei Gao, Denise K Marciano, Salvatore Nocadello, Wayne F Anderson, Jennifer R Robbins, Julie A Theriot, Anna I Bakardjiev

“…Bacterial pathogens that have evolved specific mechanisms of breaching this barrier, such as Listeria monocytogenes, present a unique opportunity for learning how the placenta carries out its protective function. …”
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Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types by Giulia Moreni, Licheng Zou, Cyriel M. A. Pennartz, Cyriel M. A. Pennartz, Jorge F. Mejias, Jorge F. Mejias

“…Our results suggest that neural rhythms are not necessarily intrinsic properties of cortical circuits, but rather they may arise from structural changes elicited by learning-related mechanisms.…”
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Explainable illicit drug abuse prediction using hematological differences by Aijun Chen, Yinchu Shen, Yu Xu, Jinhui Cai, Bo Ye, Jiaxue Sun, Jinze Du, Deshenyue Kong

“…The model uses a machine learning (ML) algorithm to predict IDU using hematological differences between illicit drug users (IDUr) and non-users (n-IDUr). …”
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SAGNet: Small-Target Attention Guided Network for Urban Remote Sensing Image Real-Time Segmentation by Shasha Ren, Xiaodong Zhang

“…Specifically, a feature-guided enhancement (FGE) model is designed by two nonlinear learning operators to learn more discriminative features and filter background noise. …”
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A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. by Julian Hecker, Dmitry Prokopenko, Matthew Moll, Sanghun Lee, Wonji Kim, Dandi Qiao, Kirsten Voorhies, Woori Kim, Stijn Vansteelandt, Brian D Hobbs, Michael H Cho, Edwin K Silverman, Sharon M Lutz, Dawn L DeMeo, Scott T Weiss, Christoph Lange

“…In an application to lung function phenotypes and human height in the UK Biobank, RITSS identified highly significant interactions based on subcomponents of genetic risk scores. …”
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Detecting Activities of Daily Living in Egocentric Video to Contextualize Hand Use at Home in Outpatient Neurorehabilitation Settings by Adesh Kadambi, Jose Zariffa

“…Wearable egocentric cameras and machine learning have the potential to provide clinicians with a more nuanced understanding of patient hand use at home after stroke and spinal cord injury (SCI). …”
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Efficient Solution of Fokker–Planck Equations in Two Dimensions by Donald Michael McFarland, Fei Ye, Chao Zong, Rui Zhu, Tao Han, Hangyu Fu, Lawrence A. Bergman, Huancai Lu

“…Finite element analysis (FEA) of the Fokker–Planck equation governing the nonstationary joint probability density function of the responses of a dynamical system produces a large set of ordinary differential equations, and computations become impractical for systems with as few as four states. …”
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Constraining f(R) gravity model through Hubble Parametrization by Kshetrimayum Govind Singh, Kangujam Priyokumar Singh, Asem Jotin Meitei

“…In this work, we explore a modified theory of gravity by transitioning from standard General Relativity(GR) to an f(R) gravity framework wherein the Ricci scalar R is replaced by a general function f(R)=R+αR2. By adopting a specific Hubble parameterization H(z)=H021+(1+z)2(1+ζ)12, where H0 is the present value of Hubble parameter and ζ be the free model parameter. …”
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Predicting Suicide or Self-Harm Crises Based on Decision Tree Analysis of Life Events and Coping Style: A Population-Based Study in China by Shumeng Ma, Ping Li, Liwen Ren, Ning Jia

“…The classification tree’s built-in contribution function allowed us to obtain the importance of each variable. …”
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Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India by S Karkuzhali, Thendral Puyalnithi, R Nirmalan

“…This study focuses on advancing air quality prediction in India through the application of cutting-edge deep learning techniques, specifically the Stacked Bidirectional Long Short-Term Memory (Bi-LSTM) and Convolutional Neural Network (CNN) architecture. …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

“…Various prediction algorithms, including random forest (RF), radial basis function (RBF), neural networks (NNs), support vector machine (SVM), and extreme learning machine (ELM), were developed and tested against standard germination experiments. …”
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