Antimicrobial resistance in Indonesia: A comprehensive One Health analysis and strategic roadmap for mitigation by Ni Luh Putu Indi Dharmayanti, Muhammad Khaliim Jati Kusala, Harimurti Nuradji, Diana Nurjanah

“…The One Health approach identifies key resistance patterns, transmission pathways, and contributing factors. …”
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Water and Sheep: The Pronunciation and Geographical Distribution of Two Germanic Vowels in the Dialects Around the Former Zuiderzee Area by Floris Nijhuis, John L. A. Huisman, Roeland van Hout

“…Specifically, we tried to determine the dialectal landscape more thoroughly, find instances that illustrate cultural diffusion and migration, and evaluate the overall relationship between distance over water and vowel variations. …”
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A century of change in Kenya's mammal communities: increased richness and decreased uniqueness in six protected areas. by Anikó B Tóth, S Kathleen Lyons, Anna K Behrensmeyer

“…Potential biases such as variable historical vs. modern collection effort and detection of small-bodied, rare, and low-visibility species do not account for the observed results. We attribute the pattern of decreased beta diversity primarily to increased site occupancy by common species across all body size classes. …”
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Forecasting Road Accidents Using Deep Learning Approach: Policies to Improve Road Safety by Vijay Angadi, Shivaraj Halyal

“…Deep Learning's exceptional pattern recognition capabilities have made it a favored approach for accident forecasting. …”
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Generative AI in construction risk management: a bibliometric analysis of the associated benefits and risks by Mohamed Abdelwahab Hassan Mohamed, M.K.S. Al-Mhdawi, Udechukwu Ojiako, Nicholas Dacre, Abroon Qazi, Farzad Rahimian

“…Using VOSViewer, visual maps illustrate research trends, collaboration networks and citation patterns. Findings – The findings reveal a notable increase in research interest in GenAI for CRM, with benefits classified into technical, operational, technological and integration categories. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…At the same time, diverse adaptation patterns to AI use necessitate a rethinking of the role of human judgement and raise concerns about technological dependency, algorithmic bias, and unequal access to innovation. …”
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Scientometric analysis of computational calculations on hydrogen adsorption by D.A. Torres-Ceron, S. Amaya-Roncancio, F. Fuentes-Gandara, E. Restrepo-Parra, L. Bohorquez-Santiago, J.P. Velasquez-Tamayo

“…This study presents a comprehensive overview of the annual scientific production in the field of hydrogen adsorption and storage, categorized by country and authorship with the aim of assessing its evolution, thematic development, and global collaboration pattern. The present research was conducted in the databases Web of Science and Scopus from 2000 to 2022, using a pre-determined set of keywords related to hydrogen adsorption, storage, and density functional theory. …”
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Multi-dimensional research impact assessment through bibliometrics, altmetrics, semantometrics, and webometrics by Ahmed Al Marouf, Tanvir C Turin

“… Research impact assessment (RIA) has emerged as a critical approach for evaluating the societal, academic, and policy-related influence of scholarly work, particularly within the evolving landscape of Open Science. …”
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Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA by Matthew P. Thompson, Dung Nguyen, Christopher J. Moran, Joe Scott, Yu Wei, Bryce Young

“…Simulation results generally showed strong alignment with historical patterns of daily growth and the proportion of cumulative area burned in the western US and identified hotspots of high ESE potential. …”
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Terrain and Atmosphere Classification Framework on Satellite Data Through Attentional Feature Fusion Network by Antoni Jaszcz, Dawid Połap

“…The neural architecture model takes into account different types of features by extracting them by focusing on spatial, local patterns and multi-scale representation. In addition, the classifier is guided by an attention mechanism for focusing more on different channels, spatial information, and even feature pyramid mechanisms. …”
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Heat Wave, Cone Crops, Forest-Floor Small Mammals, and Mustelid Predation in Coniferous Forests of Southern British Columbia by Thomas P. Sullivan, Druscilla S. Sullivan, Alan Vyse

“…Potential differential effects of large seed crops on consumers did not affect the mean abundance patterns for <i>P. maniculatus</i> but apparently reduced this metric for <i>M. gapperi</i>. …”
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The roles of surface processes in porphyry copper deposit preservation by B. Hadler Boggiani, T. Salles, C. Mallard, N. Atwood

“…To do so, we rely on a global-scale numerical model (<i>goSPL</i>), which simulates landscape dynamics and associated erosion and deposition patterns over geological timescales. …”
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Metabolomic Profiling and Functional Characterization of Biochar from Vine Pruning Residues for Applications in Animal Feed by Serena Reggi, Sara Frazzini, Maria Claudia Torresani, Marianna Guagliano, Cinzia Cristiani, Salvatore Roberto Pilu, Martina Ghidoli, Luciana Rossi

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Two-step consensus clustering approach to immune cell infiltration: An integrated exploration and validation of prognostic and immune implications in sarcomas by Ao-Yu Li, Jie Bu, Hui-Ni Xiao, Zi-Yue Zhao, Jia-Lin Zhang, Bin Yu, Hui Li, Jin-Ping Li, Tao Xiao

“…To conduct a comprehensive investigation of the sarcoma immune cell infiltration (ImmCI) patterns and tumoral microenvironment (TME). We utilized transcriptomic, clinical, and mutation data of sarcoma patients (training cohort) obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) server. …”
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Antimicrobial Management of Urinary Tract Infections: Insights from a Tertiary Care Hospital in Oman by Pranjal N. Chhajlani, Hemant Hardikar

“…With limited access to minimum inhibitory concentration results and culture sensitivity tests during the initial patient visit, physicians prescribing first-line treatments for suspected cases of resistance must carefully evaluate clinical presentation, patient history, and local resistance patterns. …”
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An explainable feature selection framework for web phishing detection with machine learning by Sakib Shahriar Shafin

“…In the evolving landscape of cyber threats, phishing attacks pose significant challenges, particularly through deceptive webpages designed to extract sensitive information under the guise of legitimacy. …”
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Integrating single-cell RNA-Seq and bulk RNA-Seq data to explore the key role of fatty acid metabolism in hepatocellular carcinoma by Hua Dai, Xin Tao, Yuansen Shu, Fanrong Liu, Xiaoping Cheng, Xiushen Li, Bairui Shu, Hongcheng Luo, XuXiang Chen, Zhaorui Cheng

“…Subsequent to this, consensus clustering analysis was implemented to stratify patients into distinct subgroups, contingent upon the expression patterns of lipid metabolism genes. Further analytical procedures involved functional enrichment analysis, evaluation of immune infiltration, and examination of the mutation landscape.PTGES3 was identified as a pivotal gene associated with lipid metabolism. …”
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Unlocking the black box beyond Bayesian global optimization for materials design using reinforcement learning by Yuehui Xian, Xiangdong Ding, Xue Jiang, Yumei Zhou, Jun Sun, Dezhen Xue, Turab Lookman

“…This approach demonstrates better performance in high-dimensional spaces (D ≥ 6) compared to Bayesian optimization (BO) with the Expected Improvement (EI) acquisition function through more dispersed sampling patterns and better landscape learning capabilities. …”
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Analysis and Quantification of Demand Flexibility for Resilient Distribution Networks: A Systematic Review by Mohamed Massaoudi, Katherine R. Davis, Khandaker Akramul Haque

“…Modern power systems face increasing operational challenges due to the integration of renewable energy sources (RESs) and evolving demand patterns. Demand flexibility (DF) has emerged as a transformative solution by dynamically adjusting electricity consumption to align with grid conditions. …”
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Data quality and uncertainty issues in flood prediction: a systematic review by Jinhui Yu, Yichen Li, Xiao Huang, Xinyue Ye

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