SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

“…Then, SGCL-LncLoc applies graph convolutional networks to learn the comprehensive graph representation. …”
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Antiviral effects and mechanism of Ma-Xing-Shi-Gan-San on porcine reproductive and respiratory syndrome virus by Miao Zhang, Jiankun Huang, Qingan Chi, Xuhua Ran, Xiaobo Wen

“…In addition, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to elucidate the antiviral signaling pathways modulated by MXSGS. …”
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Micro-credentials as an alternative means of recognising qualifications in education by A. A. Muravyeva, O. N. Oleynikova

“…The study also utilized methods such as analogy, abstraction, social design, and multifactor interpretation to analyse the functioning of the micro-credentials ecosystem.Results. …”
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Fault diagnosis and inference of hoist main bearing based on transfer learning and ontology by Fei DONG, Di ZHANG, Kunpeng GE, Junjie CHEN, Xinyue XU

“…To overcome the challenges still faced by data-driven hoist main bearing fault diagnosis methods, including data imbalance due to a lack of fault samples under real operating conditions, diagnostic performance degradation of fault diagnosis models caused by significant differences in data sample distribution under varying conditions, single fault diagnosis function, and a lack of reasoning analysis and localization for the causes of hoist main bearing system failures, a new fault diagnosis and reasoning method for hoist main bearing systems is studied, which includes two aspects: ① Bearing fault diagnosis based on convolutional neural network transfer learning and domain adaptation. …”
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Exploration of differential expression and biological significance of amino acid metabolism genes in osteoarthritis by Zhenghuan Zhu, Jiaqing Meng, Junfeng Hu, Lingmin Hu, Wenge Ding, Wanchao Zhang, Chuang Zhao, Lin Feng, Kejie Wang

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Land-Cover Semantic Segmentation for Very-High-Resolution Remote Sensing Imagery Using Deep Transfer Learning and Active Contour Loss by Miguel Chicchon, Francisco James Leon Trujillo, Ivan Sipiran, Ricardo Madrid

“…In this study, a method for training convolutional neural networks and transformers to perform land-cover segmentation on very-high-resolution aerial images in a regional context was proposed. …”
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Spatio-temporal variability and trends of air pollutants in the Metropolitan Area of Curitiba by Patricia Krecl, Lizeth Bibiana Castro, Admir Créso Targino, Gabriel Yoshikazu Oukawa

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Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques by Ozan Demir, Metin Aktas, Ender M. Eksioglu

“…We also propose to use the joint loss function for both Image-to-Image Module and Physics-Informed Module to enforce the joint optimization for better underwater image enhancement performance. …”
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The efficacy and neuroplasticity of Tuina combined with repetitive transcranial magnetic stimulation in the treatment of post-stroke depression: study protocol for a single-center,... by Zhao Ma, Zhengkun Gao, Xiao Chen, Yuqian Hu, Hang Gao, Jinying Gu, Haoxiang He, Hui Jin, Jiming Tao, Min Fang

“…Efficacy and scale assessments will be conducted at 1 month and 3 months after the completion of treatment.DiscussionThis trial will provide reliable evidence on the efficacy of Tuina combined with rTMS in treating PSD and explore its impact on brain functional networks and neuroendocrine mechanisms.…”
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WHAT HAPPENED IN THE ECOSYSTEM OF THE OKHOTSK SEA IN 2008–2018? by V. P. Shuntov, O. A. Ivanov, K. M. Gorbatenko

“…Moreover, the authors ignore results of long-term studies of the Okhotsk Sea bioresources conducted from ecosystem positions. From this alternative point of view, some integrated quantitative data on dynamics of zooplankton, zoobenthos, fish, and other biota in the Okhotsk Sea are presented, as well as the schemes of organic matter and energy flows through trophic networks that show a normal functioning of the Okhotsk Sea ecosystem at the present time. …”
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Exploring neural changes associated with suicidal ideation and attempts in major depressive disorder: A multimodal study by Juan Deng, Maomao Zhang, Guangxiang Chen, Xiaofei Lu, Xiaotong Cheng, Cheng Qin, Mingyuan Tian, Ke Gong, Kezhi Liu, Jing Chen, Wei Lei

“…Subsequently, a seed-based resting-state functional connectivity (rsFC) analysis was conducted to explore the functional networks associated with the structural brain changes related to suicidal ideation and suicide attempts. …”
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Clinical efficacy and safety of sodium-glucose cotransporter protein-2 (SGLT-2) inhibitor, glucagon-like peptide-1 (GLP-1) receptor agonist, and Finerenone in type 2 diabetes melli... by Jingyi Guo, Maoying Wei, Wenhua Zhang, Yijia Jiang, Aijing Li, Churan Wang, Dan Yin, Anning Sun, Yanbing Gong

“…The confidence of evidence was examined using Confidence in Network Meta-Analysis (CINeMA). Traditional meta-analysis of variables was conducted using Stata 17.0 software with a random-effects model. …”
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Magnetic Resonance Neuroimaging in Amyotrophic Lateral Sclerosis: A Comprehensive Umbrella Review of 18 Studies by Sadegh Ghaderi, Sana Mohammadi, Farzad Fatehi

“…Magnetic resonance spectroscopy revealed metabolic disruptions, including reduced N-acetylaspartate and elevated choline levels. Functional MRI studies have demonstrated altered brain activation patterns and functional connectivity, reflecting compensatory mechanisms and neurodegeneration. fMRI also demonstrated disrupted motor network connectivity and alterations in the default mode network. …”
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Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy by Qingsong Chen, Tao Li, Tao Zhang, Yue Zhou, Weifeng Huang, Hui Li, Li Shi, Jianxiao Li, Qi Zhang, Man Ma, Pan Wang, Hui Hu, Gongbin Wei, Jiangxia Xiang, Yuan Cheng, Jun Yang, Guangbin Huang, Yongming Li, Dingyuan Du

“…Functional analysis of genes and immunoinfiltration analysis were also conducted. …”
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Genetic insights and molecular pathways in Alzheimer's disease: Unveiling the complexity of neurodegeneration by Chandana Yesudas, Neethu P, Illakkiam Devaraj

“…Upregulated genes include DDX3Y, H6PD and KIF1B, while down-regulated genes include CREM, CD44, and HES4. Functional enrichment analysis using Enrichr revealed significantly upregulated pathways, including the PI3K-Akt signalling and Wnt signalling pathways. …”
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Fault classification method for on-board equipment of metro train control system based on BERT-CNN by XU Qian, ZHANG Lei, OU Dongxiu, HE Yunpeng

“…In order to counteract the classification performance degradation brought by data category imbalance, word vectors are trained using a convolutional neural network (CNN) model with the focal loss function. …”
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Retrieval of carbon and inorganic phosphorus during hydrothermal carbonization: ANN and RSM modeling by Abolfazl Shokri, Mohammad Amin Larki, Ahad Ghaemi

“…Response Surface Methodology (RSM) was used along with temperature and time data sets ranging from 150 to 300C and 30–480 min, respectively, to identify the parameters influencing the response, three-dimensional networks, and optimization. Next, Multilayer Perceptron (MLP) and Radial Basis Function (RBF) were used to compare the results and improve the model fit. …”
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End-to-End Mandarin Speech Reconstruction Based on Ultrasound Tongue Images Using Deep Learning by Fengji Li, Fei Shen, Ding Ma, Jie Zhou, Shaochuan Zhang, Li Wang, Fan Fan, Tao Liu, Xiaohong Chen, Tomoki Toda, Haijun Niu

“…The loss of speech function following a laryngectomy usually leads to severe physiological and psychological distress for laryngectomees. …”
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Phosphorus Cycling Dominates Microbial Regulation of Synergistic Carbon, Nitrogen, and Phosphorus Gene Dynamics During <i>Robinia pseudoacacia</i> Restoration on the Loess Plateau by Ning Peng, Yan Wang, Huifeng Wu, Hongjian Hao, Ahejiang Sailike, Zhouchang Yu, Shicai Li, Runhao Shi, Wenfang Hao, Wei Zhang

“…Results showed that P-cycling functional genes, particularly <i>pqqC</i> and <i>spoT</i>, exhibited the highest network centrality, indicating their dominant role in regulating nutrient dynamics. …”
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BrAIn Jam: neural signal-informed adaptive system for drumming collaboration with an AI-driven virtual musician by Torin Hopkins, Torin Hopkins, Ruojia Sun, Suibi Che Chuan Weng, Shih-Yu Ma, Shih-Yu Ma, James Crum, Leanne Hirshfield, Ellen Yi-Luen Do, Ellen Yi-Luen Do

“…This paper presents “BrAIn Jam,” utilizing functional near-infrared spectroscopy to monitor human drummers' brain states during musical collaboration with an AI-driven virtual musician. …”
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