Combining readily available population and land cover maps to generate non-residential built-up labels to train Sentinel-2 image segmentation models by Diogo Duarte, Cidália C. Fonte

“…., Sentinel-2, with spatial resolution of up to 10 m), difficulties in collecting training data for supervised classification approaches, and the fact that variations in features of the built-up environment not always translate to a specific land use. …”
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The Applications of Large Language Models in Mental Health: Scoping Review by Yu Jin, Jiayi Liu, Pan Li, Baosen Wang, Yangxinyu Yan, Huilin Zhang, Chenhao Ni, Jing Wang, Yi Li, Yajun Bu, Yuanyuan Wang

“… BackgroundMental health is emerging as an increasingly prevalent public issue globally. There is an urgent need in mental health for efficient detection methods, effective treatments, affordable privacy-focused health care solutions, and increased access to specialized psychiatrists. …”
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Identifying Current Practices and Areas for Improvement in Medication Management During Care Transition Through an Interprofessional Collaboration Framework by Solh Dost L, Maillard G, Cardoso E, Schneider MP

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Core Outcome Sets for Pain Disorders: A Systematic Review of Research and Reporting Quality by Cui Y, Li B, Jiang S, Li Y, Wang S

“…The highest scores were for health issue coverage (24/24 points), followed by the involvement of healthcare professionals in reflecting disease experiences (23/24 points). …”
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Electronic nose and machine learning for modern meat inspection by Ivan Shtepliuk, Guillem Domènech-Gil, Viktor Almqvist, Arja Helena Kautto, Ivar Vågsholm, Sofia Boqvist, Jens Eriksson, Donatella Puglisi

“…Early identification of issues that may impact public health and animal health and welfare, such as the presence of chemical contaminants in meat, is critical. …”
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Detection method for dangerous behaviors of underground coal mine personnel by ZHANG Xuhui, YU Henghan, DU Yuyang, YANG Wenjuan, ZHAO Yihui, WAN Jicheng, WANG Yanqun, ZHAO Dian, TANG Duwei

“…Existing object detection technologies face challenges when applied to underground personnel behavior detection, as complex working conditions, equipment occlusion, dense targets, and dust interference often lead to inaccurate feature extraction and undefined behavior classifications. To address these issues, a PMR-YOLO model was constructed based on the YOLOv8-pose architecture. …”
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Formal guidelines from an expert panel: intensive care unit medical staffing, organisation and working hours to improve quality of life at work in France by Nicolas Terzi, Guillaume Thiery, Nicolas Bèle, Naike Bigé, David Brossier, Alexandre Boyer, Edouard Couty, Laëtitia Flender, Cyril Manzon, Jean-Paul Mira, Sofia Ortuno, Vincent Peigne, Marie-Cécile Poncet, Sylvain Renolleau, Jean-Philippe Rigaud, Bérengère Vivet, Khaldoun Kuteifan, the French Intensive Care Society (FICS), the French National Council of Intensive Care Medicine (CNP MIR, Conseil National Professionel de Médecine Intensive Réanimation)

“…For 21 other recommendations, the level of evidence did not allow GRADE classification, and led to the formulation of expert opinions. …”
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Detection of strawberry bloom phenology based on YOLO-RCMC and flower opening scale by Junquan Zhen, Yuke Wang, Xunhui Liu, Linfan Zhou, Shuqin Yang, Dong Wang

“…In addition, the RCM variants were integrated into the head of the model to reduce classification errors and improve detection accuracy. …”
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Beyond dietary therapy: addressing weight stigma awareness in medical students by Giuseppe Annunziata, Giordano Bruno Zonzini, Evelyn Frias-Toral, Raynier Zambrano-Villacres, Alexander Bertuccioli, Davide Sisti, Ludovica Verde, Daniele Di Pauli, Annamaria Colao, Giovanna Muscogiuri, Daniel Simancas-Racines, Alessandro Gennaro, Luigi Barrea

“…The analysis explored variations in stigma levels based on gender, BMI classification, nationality, Italian regional location, level of academic education, medical history, and lifestyle factors. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…Among these, RF emerges as the most effective algorithm, achieving a classification accuracy of 95.63%, while XGBoost proved inefficient for certain critical subsidence zones. …”
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Development and Validation of Nutri S-Can, a Short Screener to Evaluate Adherence to the 2018 WCRF/AICR Cancer Prevention Recommendations by Alice Chaplin, Mar Nafría, Albert Sesé, Elena Rayó, Marga Morey, Lara Prohens, Dora Romaguera

“…There is a lack of rapid dietary assessment tools to screen for compliance with guidelines for cancer prevention, such as those issued by the World Cancer Research Fund and the American Institute for Cancer Research. …”
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Early behavioral indicators of aberrant feces in newly-weaned piglets by Vivian L. Witjes, Fleur Veldkamp, Francisca C. Velkers, Ingrid C. de Jong, Ellen Meijer, Johanna M. J. Rebel, Jan A. Stegeman, Tijs J. Tobias

“…Current algorithms enable automated behavioral classification on the group level, while PWD may not affect all piglets in one pen and individual level analysis may be required. …”
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Computed Tomographic Analysis of Medial Clavicular Epiphyseal Fusion for Age Estimation in Western Indian Population: A Cross-sectional Study by Padma V Badhe, Ajith R Varrior, Sumeet A Dhulshette, Manoj B Parchake, Moinuddin Sultan, Khushboo Tekriwal, Swapnil Moharkar, Abhijeet Shukla

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Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study by Jinzhao Cui, Ting Zhang, Yifeng Shen, Xiaoli Wang, Liuyang Yang, Xuefeng Huang, Qiang Huang, Yu Yang, Weizhong Yang, Zhongjie Li

“…Traditional early warning models rely on binary (0/1) classification methods, which issue alerts only when predefined thresholds are crossed. …”
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POJĘCIA I ŻYWOTNOŚĆ RZYMSKIEGO PRAWA KARNEGO by Luigi Garofalo

“…It is pointed out that the only Roman lawyer who tried classifying Roman criminal law was Claudius Saturninus (D. 48,19,16). His classification is later discussed in the article as well as some of the crimina (public law crimes), observing that the Romans never separated the Roman criminal law from ius. …”
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Cytological evaluation of p16Ink4a in precancerous lesions of the cervix: Conventional papanicolaou smears by Seema Singhal, Vinod Kumar Arora

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Rest intolerance and associated factors among Chinese nursing students: a cross-sectional network analysis by Jiukai Zhao, Yibo Wu, Jiayi Xu, Kunshuo Du, Yu Yang, Shuang Zang

“…Objective This study aims to investigate rest intolerance and its associated factors among nursing students using the social ecological model, and to identify central indicators for intervention targets that alleviate this issue through network analysis. Methods This research is a nationwide cross-sectional study using network analysis. …”
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Distinct Roles of HHLA2 and PD-L1 in the Immune Cell and Prognosis of Hepatocellular Carcinoma by Wang CH, Chen SL, Yang X, Wu T, Liu LL, Yun JP

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Effect of adherent perinephric fat on outcomes of nephron-sparing treatment of renal cell cancer by S. V. Kotov, R. I. Guspanov, A. G. Yusufov, A. A. Nemenov, A. A. Mantsov

“…In each group, the following indicators were assessed: stage according to the TNM classification, mean age and BMI, average nephrometry score according to the R.E.N.A.L. system, glomerular filtration rate (GFR).Results. …”
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Organization of Distance Learning in School, College, University by N. V. Nikulicheva, O. I. Dyakova, O. S. Glukhovskaya

“…The new learning environment has different capabilities and requires the lecturer to plan differently, present information, and organize monitoring and record results.The results of the study allowed us to identify general trends in the organization of DL at all levels of education and specific problems typical for particular levels. The main issue in organization DL at school was the creation of the learning environment (technical support, Internet, organization of DL pedagogical system) as well as methodological support of DL process (training lecturers in DL methodology). …”
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