Facial muscle mapping and expression prediction using a conformal surface-electromyography platform by Hila Man, Paul F. Funk, Dvir Ben-Dov, Chen Bar-Haim, Bara Levit, Orlando Guntinas-Lichius, Yael Hanein

“…Facial surface Electromyography (sEMG) effectively assesses muscle function, yet traditional setups require precise electrode placement and limit mobility due to mechanical artifacts. …”
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Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees by Cheng Shen, Yuewei Liu

“…First, we define a loss function for each calibration sample to quantify detection error rates. …”
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Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer's disease. by Abdallah M Eteleeb, Brenna C Novotny, Carolina Soriano Tarraga, Christopher Sohn, Eliza Dhungel, Logan Brase, Aasritha Nallapu, Jared Buss, Fabiana Farias, Kristy Bergmann, Joseph Bradley, Joanne Norton, Jen Gentsch, Fengxian Wang, Albert A Davis, John C Morris, Celeste M Karch, Richard J Perrin, Bruno A Benitez, Oscar Harari

“…Here, we used machine learning approaches to integrate high-throughput transcriptomic, proteomic, metabolomic, and lipidomic profiles with clinical and neuropathological data from multiple human AD cohorts. …”
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The effects of PISA on global basic education reform: a systematic literature review by Jian Li, Eryong Xue, Siyuan Guo

“…Abstract The Program for International Student Assessment (PISA) is a vehicle for promoting students’ learning that plays a significant role in basic education reform globally. …”
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EXERCISE AND NEUROGENESIS by Mehmet Ünal

“…Being a member of the neurotrophin family, BDNF is vital for many functions involved in neurogenesis, including proliferation, differentiation, maturation, and survival. …”
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A Two-Step Method for Impact Source Localization in Operational Water Pipelines Using Distributed Acoustic Sensing by Haonan Wei, Yi Liu, Zejia Hao

“…STEE is introduced as a stable metric to quantify signal impulsiveness and guides the selection of the relevant intrinsic mode function. The second step utilizes the Pruned Exact Linear Time (PELT) algorithm for accurate signal segmentation, followed by an unsupervised learning method combining Dynamic Time Warping (DTW) and clustering to identify the impact segment and precisely pick the arrival time based on shape similarity, overcoming the limitations of traditional pickers under conditions of complex noise. …”
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CHINESE YUAN EXCHANGE RATE AGAINST THE INDONESIAN RUPIAH PREDICTION USING SUPPORT VECTOR REGRESSION by Steven Soewignjo, Ni Wayan Widya Septia Sari, Andini Putri Mediani, M. Aqil Zaidan Kamil, Dita Amelia, Nur Chamidah

“…This study aims to forecast the exchange rate between the Chinese Yuan (CNY) and the Indonesian Rupiah (IDR) using Support Vector Regression (SVR), a machine-learning technique that can handle nonlinear and complex data. …”
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An Improved Tuning of PID Controller for PV Battery-Powered Brushless DC Motor Speed Regulation Using Hybrid Horse Herd Particle Swarm Optimization by A. RamaKrishnan, A. Shunmugalatha, K. Premkumar

“…In the first place, it bolsters HHA’s aptitude for exploratory learning related to the ageing issue. By doing so, it is possible to circumvent the phenomenon of the local minimum stagnation. …”
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AI-Integrated Scaffolding to Enhance Agency and Creativity in K-12 English Language Learners: A Systematic Review by Molly Li, Joshua Wilson

“…Studies were analyzed using a thematic synthesis approach to identify how AI tools function as cognitive supports, creative collaborators, and language enhancement systems. …”
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The impact of acute bike desk usage before encoding and during early consolidation on memory task performance in university students and use case evaluation in an educational setti... by Ahmed Mohsen Abbas El-Hagrasy, Rachel Anna Marshall, Thuraiya Hilal Said Al-Rawahi, Sally Doherty, Nitya Kumar, Declan Gaynor

“…This study examined the impact of using bike desks on cognitive function and memory among university students. Physical activity during adolescence offers enduring health benefits, yet sedentary behaviors prevail among young adults, posing significant health risks. …”
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Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network by Yang Yang, Lin Yang, Bo Wu, Gang Yao, Hang Li, Soltys Robert

“…Twenty-nine models have been compared and analyzed by using hidden layer, initial learning rate, batch size, activation function, and optimization method. …”
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CNN-SENet: a GNSS-R ocean wind speed retrieval model integrating CNN and SENet attention mechanism by Yimin Xia, Dongliang Guan, Zhiling Zhou

“…It also outperforms both the standard CNN and the Geophysical Model Function (GMF), improving wind speed accuracy by 0.14 m/s and 0.62 m/s, respectively. …”
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Site-specific prediction of O-GlcNAc modification in proteins using evolutionary scale model. by Ayesha Khalid, Afshan Kaleem, Wajahat Qazi, Roheena Abdullah, Mehwish Iqtedar, Shagufta Naz

“…Accurate prediction of O-GlcNAc sites might enhance the investigation of the site-specific functions of proteins in physiology and diseases.…”
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Research on Chinese patent classification based on structured features by Ran Li, Wangke Yu, Shuhua Wang

“…Abstract The three dimensions of Function, Structure, and Purpose are fundamental to patent classification and play a decisive role in improving the accuracy of patent information categorization. …”
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Robust Low-Overlap Point Cloud Registration via Displacement-Corrected Geometric Consistency for Enhanced 3D Sensing by Xin Wang, Qingguang Li

“…Furthermore, a novel displacement loss function was developed to effectively constrain the geometric distribution of corrected point-pairs. …”
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FCC algorithm for power loss diminution by Kanagasabai L.

“…Similar to an artificial neural network, a learning phase is also applied in the projected algorithm to improve the quality of the solution. …”
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A low-carbon optimization scheduling method of CIES based on PPO algorithm by CHEN Fan, WU Lingxiao, WANG Man, LYU Ganyun, ZHANG Xiaolian

“…The intelligent agent's state, action space, and reward function are defined using device status and operating parameters. …”
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Hybrid attention transformer integrated YOLOV8 for fruit ripeness detection by Jianyin Tang, Zhenglin Yu, ChangShun Shao

“…To more accurately evaluate the similarity between the prediction box and the real bounding box, this paper uses the EIoU loss function instead of CIoU, thereby improving detection accuracy and accelerating model convergence. …”
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Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering by Fan Xu, Xin Shu, Xiaodi Zhang, Bo Fan

“…This paper presents a model based on stacked denoising autoencoders (SDAEs) in deep learning and adaptive affinity propagation (adAP) for bearing fault diagnosis automatically. …”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…First, this study proposes the Dynamic Spatial-Frequency Attention (DSFA) mechanism, the Pyramid Attention Refinement (PAR) bottleneck structure, and optimizes the feature propagation method to achieve dynamic decoupling of the spatial and frequency domains in multi-scale representation learning. Secondly, a hybrid loss function has been developed with weights optimized employing the Bayesian Optimization algorithm to provide a strategic method for parameter tuning in similar research. …”
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