Lower Limb Motion Recognition Based on sEMG and CNN-TL Fusion Model by Zhiwei Zhou, Qing Tao, Na Su, Jingxuan Liu, Qingzheng Chen, Bowen Li

“…An effective scheme for improving lower limb motor function in rehabilitation and assistance devices was thus provided.…”
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Modelling Itasy Lake Water Quality by Long Short Term Memory (LSTM) using Landsat8 Data by Randrianiaina Jerry Jean Christien Frederick, Rakotonirina Rija Itokiana, Jean Robertin Rasoloariniaina, Fils Lahatra Razafindramisa

“…The main purpose of this study was to identify the appropriate LSTM model in function of the optimization algorithms: Adagrad, RMSprop and Adam, in order to do the estimation on the date provided, according to the date of satellite image acquisition. …”
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Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder by Mohemmed Sha, Hussein Al-Dossary, Mohamudha Parveen Rahamathulla

“…Therefore, a framework was suggested to assess different deep learning models for the early identification of ASD. …”
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Large Language Models for Knowledge Graph Embedding: A Survey by Bingchen Liu, Yuanyuan Fang, Naixing Xu, Shihao Hou, Xin Li, Qian Li

“…Traditional KGE representation learning methods map entities and relations into a low-dimensional vector space, enabling the triples in the knowledge graph to satisfy a specific scoring function in the vector space. …”
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Evidence for Neuroplasticity in the Human Brain in Health and Disease: A Systematic Review Focusing on Molecular Imaging Using PET by Ferreira M., Matias F., Abrunhosa A., Martins R., Castelo-Branco M.

“…Neuroplasticity may be adaptive or maladaptive and is tightly linked with brain development and skill learning. Positron emission tomography (PET) is a molecular imaging technique that enables the analysis of neurochemical processes, including neurotransmitter function. …”
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Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease by Guangda Xin, Guangyu Zhou, Wenlong Zhang, Xiaofei Zhang

“…Differential expressed genes (DEGs) were identified and functional enrichment analysis. Machine learning algorithm-based prediction model was constructed to identify crucial functional feature genes related to ESRD. …”
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Equine therapy in the management of teenagers with anorexia nervosa: a qualitative study by Camille Lepy, Aurélie Letranchant, Jean-Luc Aniorte, Julien Bedos, Rebecca Hotchkin, Maurice Corcos, Marion Robin, Marie-Aude Piot

“…The setting, place, and function of the equine therapist, the participants' previous experience with horses, and the interaction with other care areas seem to be essential to ensure therapeutic benefit. …”
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Optimization Methodology for Meningioma and Acoustic Neuroma Detection Model Based on DCGAN by CHEN Jingcong, RAN Fengwei, ZHANG Haowei, LIU Ying

“…Establishing an automatic tumor detection model using deep learning methods can effectively reduce the subjectivity of manual diagnosis, decrease missed diagnosis rates, and improve work efficiency. …”
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The Effectiveness of Proximal Sensory Rehabilitation Exercises on Reflex Inhibition in Children with Developmental Coordination Disorder by Fatemeh Izadpanah, Saeed Rezayi, Fatemeh Nikkhoo

“…In order to ascertain reflex function, the Brunincks-Ozertsky scale (BOT) was implemented in its abbreviated form. …”
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A Secure and Efficient Framework for Multimodal Prediction Tasks in Cloud Computing with Sliding-Window Attention Mechanisms by Weiyuan Cui, Qianye Lin, Jiaqi Shi, Xingyu Zhou, Zeyue Li, Haoyuan Zhan, Yihan Qin, Chunli Lv

“…An efficient and secure computation framework based on the sliding-window attention mechanism and sliding loss function was proposed to address challenges in temporal and spatial feature modeling for multimodal data processing. …”
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Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills. by Russell Dinnage, Marian Kleineberg

“…The model is designed to learn a continuous vector representation of 3D shapes, along with a 'decoder' function, that allows the transformation from this vector space to the original 3D morphological space. …”
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Three Strategies Enhance the Bionic Coati Optimization Algorithm for Global Optimization and Feature Selection Problems by Qingzheng Cao, Shuqi Yuan, Yi Fang

“…This strategy combines individual learning capability and the learnability of disparities, enhancing global exploration. …”
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An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature by Fernanda L. Ribeiro, Xiangyun Zhu, Xincheng Ye, Sicong Tu, Shyuan T. Ngo, Robert D. Henderson, Frederik J. Steyn, Matthew C. Kiernan, Markus Barth, Steffen Bollmann, Thomas B. Shaw

“…This dataset will benefit researchers across domains interested in the structure and function of the tongue in health and disease. For instance, researchers can use this data to train new machine learning models for tongue segmentation, which can be leveraged for segmentation and tracking of different tongue muscles engaged in speech formation in health and disease. …”
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RS-DETR: An Improved Remote Sensing Object Detection Model Based on RT-DETR by Hao Zhang, Zheng Ma, Xiang Li

“…Object detection is a fundamental task in computer vision. Recently, deep-learning-based object detection has made significant progress. …”
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View Score: An early warning score to detect possible complications among COVID-19 patients by Meenakshi Bhakare, Rajkumar Nikalje, Reshma Patil, Urvi Shukla, Rupesh Bokade, Gajanan Sakhare, Shardul Joshi, Aditi Pais

“…Introduction: Understanding pulmonary function at various phases after coronavirus disease 2019 (COVID-19) infection is critical for determining the exact pathophysiological mechanism of COVID-19. …”
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Age-related white matter alterations in children with neurofibromatosis type 1: a diffusion MRI tractography study by Lisa Bruckert, Katherine E. Travis, Lydia T. Tam, Kristen W. Yeom, Cynthia J. Campen

“…Neurofibromatosis type 1 (NF1) is a genetic condition affecting 1 in 3,000 children, often leading to learning challenges, including deficits in attention, executive function, and working memory. …”
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An Improved DeepSORT-Based Model for Multi-Target Tracking of Underwater Fish by Shengnan Liu, Jiapeng Zhang, Haojun Zheng, Cheng Qian, Shijing Liu

“…This study proposes an underwater fish object tracking method based on the improved DeepSORT algorithm, utilizing ResNet as the backbone network, embedding Deformable Convolutional Networks v2 to enhance adaptive receptive field capabilities, introducing Triplet Loss function to improve discrimination ability among similar fish, and integrating Convolutional Block Attention Module to enhance key feature learning. …”
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SCNet: Few-shot image classification via self-correlational and cross spatial-correlation attention by Congqing He, Ding Xu, Ke Gong, Fusen Guo, Dapeng Wei

“…Recently, few-shot learning has gained significant attention across various industries due to its ability to rapidly adapt and learn new tasks with few labeled training data. …”
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Teachers’ beliefs and challenges of using multimedia for teaching visuals in social work: A study of Bangladeshi government college by Md. Habibul Ahasan

“…The participation of students in a multimedia-based classroom environment has the potential to function as a catalyst for their academic motivation.…”
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Sleep Fragmentation as a Diagnostic Biomarker of Traumatic Brain Injury by Grant S. Mannino, Christian R. Baumann, Mark R. Opp, Rachel K. Rowe

“…Drawing on empirical findings from a mouse model of diffuse TBI, we show that summary measures of sleep fragmentation and duration can reliably distinguish injured from uninjured animals using dimensionality reduction and machine learning techniques. Current biomarkers such as glial fibrillary acidic protein and neurofilament light chain provide valuable insights into structural damage but offer limited information about how injury affects behavior and day-to-day function. …”
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