Event-based landslide inventory through very high-resolution optical images and field surveys by P. Confuorto, R. Franceschini, L. Scarpitta, N. Casagli, S. Morelli, F. Raspini, V. Tofani, S. Moretti

“…The results highlight specific distribution patterns influenced by geomorphological and geological settings. …”
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Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data by Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Rashadul Islam Sumon, Shah Muhammad Imtiyaj Uddin, Hee-Cheol Kim

“…Although previous studies have made progress, several key questions still need addressing: What types of data are best suited for accurately detecting activity patterns? Where should sensors be strategically placed to ensure precise data collection, and how can the system be effectively automated for seamless operation? …”
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The role of weaning in brace treatment for developmental dysplasia of the hip: time to define best practice? by Joanna Craven, Ioan Davies, Daniel C Perry

“…Quantitative and qualitative data were analyzed to identify patterns and variability. Results: In total, 139 clinicians from 25 countries responded, with 50% from the UK. …”
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Energy-Efficient Secure Cell-Free Massive MIMO for Internet of Things: A Hybrid CNN–LSTM-Based Deep-Learning Approach by Ali Vaziri, Pardis Sadatian Moghaddam, Mehrdad Shoeibi, Masoud Kaveh

“…However, the increasing demand for high-performance wireless networks necessitates advanced frameworks that optimize both energy efficiency (EE) and security. …”
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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…Conversely, CNN-based features are automatically acquired representations that identify complex patterns in nuclei images. To assess how effectively these techniques segment cell nuclei, their performance is evaluated. …”
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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

“…Additionally, we evaluated five classical ML models for classifying the extracted patterns: (a) Support Vector Machine (SVM); (b) GaussianNB (GNB); (c) AdaBoost (ADB); (d) K-Nearest Neighbors (KNN); and (e) Random Forest (RF). …”
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Technology-enabled CONTACT tracing in care homes in the COVID-19 pandemic: the CONTACT non-randomised mixed-methods feasibility study by Carl A Thompson, Thomas A Willis, Amanda Farrin, Adam Gordon, Amrit Daffu-O’Reilly, Catherine Noakes, Kishwer Khaliq, Andrew Kemp, Tom Hall, Chris Bojke, Karen Spilsbury

“…Homes found information useful when it confirmed rather than challenged preconceived contact patterns. Staff privacy concerns were a barrier to adoption. …”
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Sex differences in attention deficit hyperactivity symptom severity and functional connectivity of the dorsal striatum in young adults by Yu Chen, Guangfei Li, Jaime S. Ide, Xingguang Luo, Chiang-Shan R. Li

“…Sex differences in most of these connectivity patterns were confirmed by slope tests. Further, k-means clustering of FC's identified 3 groups each in men and in women. …”
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Acupuncture for Chronic Obstructive Pulmonary Disease: A 38-Year Bibliometric Landscape of Global Research Trends and Knowledge Evolution (1986–2024) by Wu K, Ruan C

“…Employing Bradford’s and Lotka’s laws, co-citation networks, and keyword co-occurrence clustering, we systematically evaluated temporal productivity trends, institutional/country contributions, citation dynamics, and thematic evolution using SciMAT, VOSviewer, and bibliometrix R-package. …”
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Exploring T-cell metabolism in tuberculosis: development of a diagnostic model using metabolic genes by Shoupeng Ding, Chunxiao Huang, Jinghua Gao, Chun Bi, Yuyang Zhou, Zihan Cai

“…Clinical validation substantiated the differential expression patterns of T-cell-related metabolic differentially expressed genes (TCM–DEGs; p < 0.05), while the nomogram predictive model achieved exceptional discriminative capacity (C-index = 0.944), demonstrating superior clinical applicability through decision curve analysis. …”
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LYN and CYBB are pivotal immune and inflammatory genes as diagnostic biomarkers in recurrent spontaneous abortion by Zhuna Wu, Qiuya Lin, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Qirong Shi, Yumin Ke

“…Protein-protein interaction (PPI) networks were utilized to explore the connections between various DIIRGs. …”
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Human immunodeficiency virus prevention and testing strategies among men who have sex with men in the UK: the PANTHEON research programme including the SELPHI RCT by Janey Sewell, T Charles Witzel, David Dunn, Fiona Lampe, Fiona Burns, Peter Weatherburn, Sheena McCormack, Leanne McCabe, Alec Miners, Valentina Cambiano, Roger Pebody, Roy Trevelion, Nadia Hanum, Andrew Phillips, Alison Rodger

“…To develop and undertake a process evaluation to assess what worked well about the RCT intervention and for whom. …”
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Finger Knuckle Print classification: Leveraging vision Mamba for low complexity and high accuracy by Chiron Bang, Ali Salem Altaher, Ahmed Altaher, Hawraa Moamin, Thamer Alshammari, Basmh Alkanjr, Hasan Altaher, Mohammed G. Al-Jassani, Hanqi Zhuang

“…Seventeen pretrained deep neural networks were evaluated for their effectiveness in classifying FKPs, with experimental results consistently demonstrating the superior performance of the ViM model. …”
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A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques by Ya-Li Zhang, Yi-Cheng Qiao, Yun-Chao Ji, Hong-Di Huang, Long Zhang, Jian-Xiong Ruan, Chen-Yao Li, Hui-Heng Xie, Bao-Lin Zhang, Qi Zhou, Sha-Sha Yue, Xiao-Mei Yu, Ming-Hao Qiu, Chuan-Kai Yu, Si-Chu Wu, Yu-Fang Zhou, Yan-Ling Li, Hong-Mei Zhu, Shu-Zhen Dong, Kang Huang, Yun Wang, Qiong Wang, Yi-Jiang Li, Ya Xie, Hui-Ling Chen, Long-Bao Lv, Shu Liu, Yong-Gang Yao, Chun Wang, Ning Liu, Jian-Hong Wang

“…Our results revealed that SIB macaques exhibited biological patterns and temporal onset sequences of self-harm, accompanied by a locomotor and social interaction decrease based on 3-dimensional deep-learning recognition, sensory processing deficits, and impairments in emotional and cognitive processing. …”
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Research trends in glioma chemoradiotherapy resistance: a bibliometric analysis (2003–2023) by Shishi Yu, Jinya Wu, Yuan Jing, Ping Lin, Lang Lang, Yifan Xiong, Wangzhong Chen, Wenhua Liu, Changpeng Sun, Yuntao Lu

“…Bibliometric tools, including VOSviewer, CiteSpace, and R packages such as bibliometrix and ggplot2, were used to analyze co-authorship networks, keyword evolution, and citation bursts to identify collaboration patterns, thematic developments, and influential contributions.ResultsPublication output increased significantly between 2013 and 2022, peaking at 650 articles in 2022. …”
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A Comprehensive Deep Learning System With MGRF Modeling for Predicting Breast Cancer Response to Neoadjuvant Chemotherapy by Ahmed Sharafeldeen, Fatma Taher, Norah Saleh Alghamdi, Eman Alnaghy, Reham Alghandour, Khadiga M. Ali, Sameh Shamaa, Abdelrahman Gamal, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz

“…First, tumor regions are delineated across MRI modalities and then modeled using a translation-invariant Markov-Gibbs random field (MGRF) with analytical parameter estimation to capture modality-specific spatial appearance patterns correlated with NAC response. Subsequently, diffusion-weighted MRI is processed to generate apparent diffusion coefficient (ADC) maps, offering quantitative assessment of intratumoral water diffusion and cellularity. …”
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Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model by Youfu He, Youfu He, Youfu He, Yu Zhou, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu, Qiang Wu

“…The architecture of CANet allows for effective processing of extended ECG patterns and detailed feature extraction without a substantial increase in model size.ResultsEmpirical results indicate that CANet outperformed traditional models in terms of predictive performance and stability, as confirmed by comprehensive cross-validation. …”
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Regional variations in epiphytic microbiota influence fermentation quality, microbial communities, and aerobic stability of Napier grass silage by Hao Ding, Qi Yan, Nanji Zhang, Qichao Gu, Qingfeng Tang, Bo Lin, Caixia Zou

“…Different regions had significant effects on the fermentation patterns, bacterial communities, and aerobic stability of Napier grass silage. …”
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Multi-omics analysis reveals glutathione metabolism-related immune suppression and constructs a prognostic model in lung adenocarcinoma by Yuxiang Chi, Yuxiang Chi, Guoyuan Ma, Qiang Liu, Qiang Liu, Yunzhi Xiang, Yunzhi Xiang, Defeng Liu, Jiajun Du, Jiajun Du

“…We incorporated single-cell RNA sequencing data from LUAD to compare transcription factor activity, cell communication networks, and CD8+ T cell subset distributions across distinct GSH metabolic groups, followed by pseudotime analysis. …”
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Key events in the process of sex determination and differentiation in early chicken embryos by Xiaoqian Lv, Changhua Sun, Xin Liu, Guanzheng Liu, Wei Gong, Hongwu Qian, Zeyu Li, Jun Wu, Xilin Zhu, Jiuzhou Song, Yingjie Niu, Hongyan Sun, Wei Han, Guo hong Chen, Kai Jin, Bichun Li, Qisheng Zuo

“…These findings advance understanding of vertebrate developmental biology and provide a framework for dissecting regulatory networks in avian sexual development.…”
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