A Refined Terrace Extraction Method Based on a Local Optimization Model Using GF-2 Images by Guobin Kan, Jie Gong, Bao Wang, Xia Li, Jing Shi, Yutao Ma, Wei Wei, Jun Zhang

“…The model structure and loss function were adjusted accordingly to achieve high-quality terrace mapping results. …”
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Robust Infrared–Visible Fusion Imaging with Decoupled Semantic Segmentation Network by Xuhui Zhang, Yunpeng Yin, Zhuowei Wang, Heng Wu, Lianglun Cheng, Aimin Yang, Genping Zhao

“…Firstly, a cross-modality transformer fusion module is designed to learn rich hierarchical feature representations. …”
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Comprehensive analysis of SQOR involvement in ferroptosis resistance of pancreatic ductal adenocarcinoma in hypoxic environments by Quan Lin, Shiwei Guan, Minghui Peng, Kailun Zhang, Hewei Zhang, Taoming Mo, Haibo Yu

“…A deep learning model of Whole Slide Images (WSIs) were constructed to predict the hypoxia level of patients. …”
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Dysregulated neural coding in the vagus nerve during long sepsis by Joshua J. Strohl, Tomás S. Huerta, Sergio Robbiati, Patricio T. Huerta

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Wild ActionFormer: Enhancing wildlife action recognition for 11 endangered species in Wolong by Dan Liu, Qianqian Sun, Jin Hou, Bochuan Zheng, Jindong Zhang, Desheng Li, Tomas Norton, Jifeng Ning

“…We constructed a differential dispersion regularization loss function to maintain the alignment of self-supervised learning features and improve the network’s robustness against interference. …”
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LGVM-YOLOv8n: A Lightweight Apple Instance Segmentation Model for Standard Orchard Environments by Wenkai Han, Tao Li, Zhengwei Guo, Tao Wu, Wenlei Huang, Qingchun Feng, Liping Chen

“…Accurate fruit target identification is crucial for autonomous harvesting robots in complex orchards, where image segmentation using deep learning networks plays a key role. To address the trade-off between segmentation accuracy and inference efficiency, this study proposes LGVM-YOLOv8n, a lightweight instance segmentation model based on YOLOv8n-seg. …”
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AlphaBind, a domain-specific model to predict and optimize antibody–antigen binding affinity by Aditya A. Agarwal, James Harrang, David Noble, Kerry L. McGowan, Adrian W. Lange, Emily Engelhart, Miranda C. Lahman, Jeffrey Adamo, Xin Yu, Oliver Serang, Kyle J. Minch, Kimberly Y. Wellman, David A. Younger, Randolph M. Lopez, Ryan O. Emerson

“…Recent advances in deep learning provide opportunities to address this challenge by learning sequence–function relationships to accurately predict fitness landscapes. …”
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Detecting emotional disorder with eye movement features in sports watching by Wei Qiang, Wei Qiang, Lin Yang, Xucheng Zhang, Na Liu, Yanyong Wang, Jipeng Zhang, Yixin Long, Weiwei Xu, Wei Sun

“…Statistical significance was assessed using t-tests and U-tests, and machine learning models were employed for classification (SVM for single-feature analysis and a decision tree for significant features) with k-fold validation. …”
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GDC: Integration of Multi‐Omic and Phenotypic Resources to Unravel the Genetic Pathogenesis of Hearing Loss by Hui Cheng, Xuegang Wang, Mingjun Zhong, Jia Geng, Wenjian Li, Kanglu Pei, Jing Wang, Lanchen Wang, Yu Lu, Jing Cheng, Fengxiao Bu, Huijun Yuan

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Molecular mechanisms of efferocytosis imbalance in the idiopathic pulmonary fibrosis microenvironment: from gene screening to dynamic regulation analysis by Qian Jin, Yi Kang, Wenwen Jin, Ying Liu, Qian Chen, Jian Liu, Yali Guo, Yuguang Wang

“…Protein‒protein interaction (PPI) network construction and enrichment analysis were performed to elucidate the potential functions of these genes in IPF. Seven machine learning algorithms were employed to screen for hub genes with high diagnostic value. …”
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Non-destructive textural quality assessment of peaches and nectarines using near-infrared spectroscopy integration time by Eva Cristina Correa, Paola Baltazar, Pilar Barreiro, Natalia Hernández-Sánchez, Lourdes Lleó, Ángela Melado-Herreros, Belén Diezma

“…These findings indicate that integration time, combined with machine learning, is a feasible, efficient method for non-destructive ripeness classification. …”
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Ameliorative Effect of Lacticaseibacillus paracasei Combined with Aerobic Exercise on Obesity in Mice by ZHAO Hanyi, CAO Sijia, QI Jianing, BIAN Yanqing, ZHANG Jiaqi, GAO Yuqi, FENG Zhaoyang, SUN Wenjing, XUE Yuling, WANG Yanhong, PENG Liping

“…The combined intervention improved learning and memory capacity in obese mice by increasing the expression levels of the learning and memory factor cAMP (P < 0.01) and the cognitive function protein PSD95 (P < 0.01) in the serum. …”
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ISPANet: A Pyramid Self-Attention Network for Single-Frame High-Resolution Infrared Small Target Detection With a Large-Scale Dataset SHR-IRST by Wenjing Wang, Chengwang Xiao, Haofeng Dou, Ruixiang Liang, Huaibin Yuan, Guanghui Zhao, Zhiwei Chen, Yuhang Huang

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Fusion of RetinaFace and improved FaceNet for individual cow identification in natural scenes by Lingling Yang, Xingshi Xu, Jizheng Zhao, Huaibo Song

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Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study by Jia-yun Wu, Jing-yu Zhang, Wen-qi Xia, Yue-ning Kang, Ru-yi Liao, Yu-ling Chen, Xiao-min Li, Ya Wen, Fan-xuan Meng, Li-ling Xu, Sheng-hui Wen, Hui-fen Liu, Yuan-qing Li, Jie-ruo Gu, Qing Lv, Yong Ren

“…All participants underwent thyroid function tests, including TPOAb and TgAb, and were accordingly divided into positive and negative thyroid autoantibody groups. …”
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Integrated analysis of single-cell, spatial and bulk RNA-sequencing identifies a cell-death signature for predicting the outcomes of head and neck cancer by Yue Pan, Lei Fei, Shihua Wang, Hua Chen, Changqing Jiang, Hong Li, Changsong Wang, Yao Yang, Qinggao Zhang, Yongwen Chen

“…Bulk RNA-seq from the Cancer Genome Atlas Program (TCGA) dataset was subjected to a machine learning-based integrative procedure for constructing a consensus cell death-related signature risk score (CDRscore) model and validated by external data. …”
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Review and practical excursus on the comparison between traditional statics methods and Classification And Regression Tree (CART) in real-life data: Low protein diet compared to Me... by Vincenzo Calabrese, Daniela Metro, Angela Alibrandi, Domenico Maviglia, Valeria Cernaro, Veronica Maressa, Elisa Longhitano, Guido Gembillo, Domenico Santoro

“…The Classification and Regression Tree (CART) is a supervised learning approach useful used to segment the space of and the predictors/features space into smaller homogeneous regions that are, represented in a decision tree. …”
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Teacher-student interactions as a pathway to strengthen working memory in primary school students: a microtrial study protocol by Sophie Pollé, Simona Sankalaite, Mariëtte Huizinga, Megan McClelland, Jantine L. Spilt, Dieter Baeyens

“…Executive function refers to a set of cognitive processes essential for effectively managing complex tasks and enabling goal-directed behavior. …”
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Identification of osteoarthritis-associated chondrocyte subpopulations and key gene-regulating drugs based on multi-omics analysis by Ting Hao, Zhiwei Pei, Sile Hu, Zhenqun Zhao, Wanxiong He, Jing Wang, Liuchang Jiang, jirigala Ariben, Lina Wu, Xiaolong Yang, Leipeng Wang, Yonggang Wu, Xiaofeng Chen, Qiang Li, Haobo Yang, Siqin Li, Xing Wang, Mingqi Sun, Baoxin Zhang

“…Abstract The mechanism by which chondrocytes respond to mechanical stress in joints significantly affects the balance and function of cartilage. This study aims to characterize osteoarthritis-associated chondrocyte subpopulations and key gene targets for regulatory drugs. …”
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Mini review: physically active schools as an arena for promoting health and cognition at the same time by Jennifer Liersch, Karin Eckenbach, Michael Pfitzner

“…The promotion of executive functions through movement has been demonstrated to be a useful approach. …”
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