BertADP: a fine-tuned protein language model for anti-diabetic peptide prediction by Xueqin Xie, Changchun Wu, Yixuan Qi, Shanghua Liu, Jian Huang, Hao Lyu, Fuying Dao, Hao Lin

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EMG-based body–machine interface for targeted trunk muscle activation by Carolina Correia, Andrea Bandini, Silvestro Micera, Sara Moccia

“…The system utilizes machine learning to generate personalized trunk motion trajectories based on predefined EMG profiles. …”
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GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts by Haochen Chen, Tao Liang, Kai Tan, Anan Wu, Xin Lu

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FVPNet: A Fuzzy Visual Positioning Perception Network for Small Object Segmentation in Remote Sensing Images by Yu Yan, Jindong Xu, Qianpeng Chong, Guangyi Wei, Zhixiang Wang

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Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications by Anuja Phalle, Devaki Gokhale

“…IntroductionRecent developments in Artificial Intelligence (AI) and Machine Learning (ML) technologies have opened new avenues for their applications in dietary assessments. …”
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The use of frequency dictionaries in the process of the development of the English language lexical competence of students in IT fields by M. V. Kharina

“…The article presents a structural and functional model of working with frequency dictionaries in the learning process that is a sequence of three important steps to be performed by the lecturer, and the results of each of them. …”
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Digital biomarkers: Redefining clinical outcomes and the concept of meaningful change by Maria Florencia Iulita, Emmanuel Streel, John Harrison

“…Moreover, Alzheimer's trials rely on a variety of tests to evaluate cognitive and functional impairments. However, these tests often lack sensitivity to early‐stage changes and are affected by variability in rater rankings. …”
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Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

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Bioinformatics-driven exploration of key genes and mechanisms underlying oxidative stress in traumatic brain injury by Bin Ren, Jifang Liang, Leifang Yang, Xiaocong Wei, Min Guo, Hong Li

“…Functional analysis revealed significant involvement of these genes in immune processes and metabolic regulation. …”
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Automatic Segmentation of the Infraorbital Canal in CBCT Images: Anatomical Structure Recognition Using Artificial Intelligence by Ismail Gumussoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalık, Muhammet Can Eren, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

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Optimizing Energy and Spectral Efficiency in Mobile Networks: A Comprehensive Energy Sustainability Framework for Network Operators by Luis Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, Antonio Rodrigues

“…An additional analysis, based on domain expertise, provided evidence of potential causal relationships between the class and observed variables involving channel quality, Multiple Input Multiple Output (MIMO) utilisation, network topology and energy-saving functionalities. For example, the results show that using higher order modulation coding schemes reduces the probability of a BS falling into class D by 50%. …”
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Electronic Educational Resource as a Source and Means of Developing Digital Education by Magomed Abdurazakov, Tatiana Litvinova, Georgy Tokmazov, Nadezhda Salangina

“…It is concluded that e-learning is based on the digital representation of information and information technology. …”
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Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions by Tarikul I. Milon, Titli Sarkar, Titli Sarkar, Yixin Chen, Jordan M. Grider, Feng Chen, Jun-Yuan Ji, Seetharama D. Jois, Konstantin G. Kousoulas, Vijay Raghavan, Wu Xu

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Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data by José Diogo Marques dos Santos, Luís Paulo Reis, José Paulo Marques dos Santos

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Hygienic assessment of the effectiveness of training plan in high school by V. R. Kuchma, M. I. Stepanova, Z. I. Sazanyuk, I. P. Lashneva, T. V. Shumkova, A. Yu. Makarova

“…More than half of the surveyed teens had increased and a high level of neuroticism, especially high values are observed in 11 classes. The learning process in terms of effective curriculum in senior high school accompanied by tension of the functional State of the body of adolescents.…”
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Hybrid-KANet: a hyperspectral remote sensing crop classification method based on the Kolmogorov–Arnold network by Weizhen Zhang, Zhihui Li, Tong Zhen

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The Effects of Code-switching on Teaching English from EFL Students’ Perspective by Sangar Othman Ibrahim.

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A Multi-Kernel Mode Using a Local Binary Pattern and Random Patch Convolution for Hyperspectral Image Classification by Wei Huang, Yao Huang, Zebin Wu, Junru Yin, Qiqiang Chen

“…Then, we input local textural features, multilayer convolutional features, and spectral features obtained from the original image into the radial basis function to obtain three kernel functions. Finally, the three kernel functions are merged into a multikernel function according to their optimal weights under the composite kernel strategy. …”
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Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model by Na Fang, Zhengguang Liu, Shilei Fan

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Deep Neural Networks for Accurate Depth Estimation with Latent Space Features by Siddiqui Muhammad Yasir, Hyunsik Ahn

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