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

“…We focus on One-Dimensional Convolutional Neural Networks (1D-CNNs) in our research, to recognize cat activity modeling for detection and classification. …”
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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

“…Methods: A survey was developed using Google Forms and disseminated via professional networks, social media, and the British Society of Children’s Orthopaedic Surgery mailing list. …”
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Research on Pressure Exertion Prediction in Coal Mine Working Faces Based on Data-Driven Approaches by Yiqi Chen, Changyou Liu, Ningbo Zhang, Huaidong Liu, Xin Yu, Shibao Liu, Jianning Hu

“…Given this, a data-driven pressure prediction method is proposed, which uses deep learning models to learn the patterns in existing data and generate the required predictions. …”
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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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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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Chemical Composition and Biological Activities of <i>Lagopsis supina</i> Extract: Antioxidant, Adipogenic, and Ani-Inflammatory Effects by Juhyun Choi, Duc Dat Le, Nayoung Roh, Jiseok Lee, Deumaya Shrestha, Thientam Dinh, Vinhquang Truong, Badamtsetseg Bazarragchaa, Soo-Yong Kim, Sung-Suk Suh, Mina Lee, Jong Bae Seo

“…Ultra-high-performance liquid chromatography-electrospray ionization Orbitrap tandem mass spectrometry (UHPLC-ESI-Orbitrap-MS/MS)-based molecular networking was used to characterize its secondary metabolites. …”
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Acupuncture for Chronic Obstructive Pulmonary Disease: A 38-Year Bibliometric Landscape of Global Research Trends and Knowledge Evolution (1986&amp;ndash;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

“…Conclusions Our findings reveal that TCM–DEGs critically regulate TB progression through immune–metabolic reprogramming and cell–cell communication networks. The developed diagnostic model and molecular subtyping strategy enable precise TB–LTBI differentiation and inform immunotherapy optimization.…”
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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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MRI-based risk factors for intensive care unit admissions in acute neck infections by Jari-Pekka Vierula, Harri Merisaari, Jaakko Heikkinen, Tatu Happonen, Aapo Sirén, Jarno Velhonoja, Heikki Irjala, Tero Soukka, Kimmo Mattila, Mikko Nyman, Janne Nurminen, Jussi Hirvonen

“…Model performance was evaluated using the area under the curve (AUC) from receiver operating characteristic analysis. …”
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Examining the evolution and impact of OTC vending machines in Global Healthcare Systems by Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Moyad Shahwan, Sahab Alkhoujah, Faris El-Dahiyat, Ammar Ali Saleh Jaber, Sa'ed H. Zyoud

“…Data analysis included bibliometric indicators such as publication counts, citation trends, and co-authorship networks, which were visualized using VOSviewer software (version 1.6.20) to highlight key research themes and collaboration patterns. …”
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Integrated multi-omics analysis reveals the functional and prognostic significance of lactylation-related gene PRDX1 in breast cancer by Qinqing Wu, Qinqing Wu, Heng Cao, Jiangdong Jin, Dongxu Ma, Yixiao Niu, Yixiao Niu, Yanping Yu, Yanping Yu, Xiang Wang, Yiqin Xia

“…Using Summary-based Mendelian Randomization (SMR) analysis, we identified LRGs associated with BRCA and comprehensively analysed the expression patterns of PRDX1, cell-cell communication networks, and spatial heterogeneity. …”
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Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass by Rodolfo Ceriani, Sebastian Brocco, Monica Pepe, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Bassi, Francesco Fava

“…We compared EMIT with Sentinel-2 (S2) multispectral data as model inputs, with and without GEDI data integration, using five Machine Learning (ML) algorithms: Partial Least Squares Regression (PLSR), Boosted Regression Trees (BRT), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Gaussian Process Regression (GPR). …”
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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

“…Intervention and study delivery were evaluated against predefined progression criteria. …”
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The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

“…Dear Editor Diabetes remains a significant public health challenge, and the integration of artificial intelligence (AI) presents remarkable opportunities to enhance early diagnosis, personalized treatment, and effective prevention strategies.1 AI algorithms, including supervised learning and convolutional neural networks, can efficiently analyze large datasets to identify patterns and risk factors associated with diabetes, surpassing the capabilities of traditional methods.2 This advanced analysis enables healthcare providers to predict the likelihood of diabetes in individuals and populations, facilitating timely interventions and customized prevention strategies. …”
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Improving vulnerable Calbindin1− neurons in the ventral hippocampus rescues tau-induced impairment of episodic memory by Huiyang Lei, Jingru Lv, Fuqiang Zhang, Linyu Wei, Kun Shi, Jiale Liu, Ting He, Rui Xiong, Fei Sun, Tongkai Zhong, Jingqi Zhao, Dan Ke, Qun Wang, Peiran Jiang, Ai-Min Bao, Jian-Zhi Wang, Ying Yang

“…In P301L mice, dvCA1 displayed distinct protein and phosphorylated protein networks compared with dorsal CA1, accompanied by overactivation of MARK4. …”
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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

“…This research underscores the potential of predictive modeling to enhance pharmacovigilance efforts and ensure safer clinical trial outcomes. • The research methodology includes a comparison of supervised learning algorithms, such as Logistic Regression, Random Forest, Gradient Boost, CNN, and genetic algorithms, to identify patterns and anomalies in clinical trial data. BERT and GPT, were also employed to provide the functionality of textual interactions over medical data. • Performance metrics such as accuracy, precision, recall, and F1-score were systematically applied to evaluate each model’s performance. …”
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Mycorrhizal and nutrient controls of carbon sequestration in tropical rainforest soil by Jie Chen, Xin Tang, Han Xu, Yanpeng Li, Adriana Corrales, Yide Li, Yakov Kuzyakov, Zhanfeng Liu, Shirong Liu

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Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

“…MethodsOur study used a mixed methods approach to evaluate the MIA app’s acceptability, feasibility, and usability. …”
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