A Dual-Branch Residual Network with Attention Mechanisms for Enhanced Classification of Vaginal Lesions in Colposcopic Images by Haima Yang, Yeye Song, Yuling Li, Zubei Hong, Jin Liu, Jun Li, Dawei Zhang, Le Fu, Jinyu Lu, Lihua Qiu

“…Classification experiments on 1142 collected colposcopic images demonstrate that this method raises the existing classification levels, achieving the classification of VAIN into three lesion grades, thus providing a valuable tool for the early screening of vaginal diseases.…”
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Evaluating the value of machine learning models for predicting hematoma expansion in acute spontaneous intracerebral hemorrhage based on CT imaging features of hematomas and surrou... by Tianyu Yang, Tianyu Yang, Zhen Zhao, Yan Gu, Shengkai Yang, Yonggang Zhang, Lei Li, Ting Wang, Zhongchang Miao

“…Model performance was evaluated using receiver operating characteristic (ROC) curves and the area under the curve (AUC).ResultsEight feature parameters were extracted from the CT images. The comprehensive model achieved an AUC of 0.9027, with a sensitivity of 0.8235 and specificity of 0.8831. …”
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Annual Variability in the Cordillera Blanca Snow Accumulation Area Between 1988 and 2023 Using a Cloud Processing Platform by Júlia Lopes Lorenz, Kátia Kellem da Rosa, Rafael da Rocha Ribeiro, Rolando Cruz Encarnación, Adina Racoviteanu, Federico Aita, Fernando Luis Hillebrand, Jesus Gomez Lopez, Jefferson Cardia Simões

“…In this study, we developed an open-source tool to map the accumulation area of glaciers in the Cordillera Blanca, Peru (1988–2023), using Landsat images, spectral indices, and the Otsu method. …”
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Central Blood Pressure and Vascular Aging in Patients with Type 2 Diabetes Mellitus by Emil Fraenkel, Ioana Mozos

“…Results The values of the evaluated parameters were, as follows: AIx -23.6 ± 32.7%, PWV 9.1±2.3 m/s, cSBP 127.4± 21.7 mmHg, SBP 133.1± 18.5 mmHg, DBP 80.9± 10.5 mmHg, and cPP 49.97 ± 12.9 mmHg. …”
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The effect of irrigation practices on stress-related physiological characteristics, water productivity, and water footprint in rice cultivation by Bittawat Wichaidist, Amornrat Intrman, Pawit Junhom, Songsak Puttrawutichai, Chawakorn Rewtragulpaibul, Chaisri Suksaroj

“…The study underscores the potential of physiological data as a tool to inform sustainable on-farm irrigation strategies. …”
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Impact of Ozone Exposure on the Biochemical Composition of Wheat, Broccoli, Alfalfa, and Radish Seeds During Germination by Ilze Bernate, Tatjana Kince, Vitalijs Radenkovs, Karina Juhnevica-Radenkova, Ingmars Cinkmanis, Juris Bruveris, Martins Sabovics

“…By optimizing O₃ exposure parameters, including duration, this approach has the potential to serve as a valuable tool for enhancing the microbiological and nutritional quality of seeds and cereals. …”
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The association between hematological markers of inflammation and chronic cannabis use: a systematic review and meta-analysis of observational studies by Reza Moshfeghinia, Reza Moshfeghinia, Reza Moshfeghinia, Amirhossein Najibi, Mehrnaz Moradi, Kasra Assadian, Jamshid Ahmadi, Jamshid Ahmadi

“…The endocannabinoid system influences inflammation, including the Neutrophil-to-Lymphocyte Ratio (NLR), a potential diagnostic tool. Our study investigates the connection between cannabis use and NLR.MethodsOur systematic review was registered in Prospero (#CRD42023463539). …”
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Do 3D-Printed and Milled Denture Bases Differ in Microbial Activity and Adhesion? A Systematic Review and Meta-Analysis by Sarah Arzani, Erfan Khorasani, Aida Mokhlesi, Shima Azadian, Safoura Ghodsi, Seyed Ali Mosaddad

“…The Quality Assessment Tool for In Vitro Studies (QUIN) was used to assess the risk of bias. …”
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Adapting the High-Resolution PlanetScope Biomass Model to Low-Resolution VIIRS Imagery Using Spectral Harmonization: A Case of Grassland Monitoring in Mongolia by Margad-Erdene Jargalsaikhan, Masahiko Nagai, Begzsuren Tumendemberel, Erdenebaatar Dashdondog, Vaibhav Katiyar, Dorj Ichikawa

“…These detailed comparisons demonstrate the effectiveness and accuracy of the proposed methodology in bridging spatial and temporal gaps, providing a valuable tool for large-scale weekly grassland biomass monitoring with applicability beyond the Mongolian context.…”
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Physics-enhanced machine learning for predicting strength of high-carbon chromium steel during thermomechanical processing and spheroidizing annealing by Changqing Shu, Shasha Zhang, Peiheng Ding, Yaxin Sun, Xuewei Tao, Xiaolin Zhu, Qiuhao Gu, Liukai Hua, Song Xue, Zhengjun Yao

“…This data-driven approach bridges process, microstructure, and property relationships, offering a robust tool for optimizing high-carbon chromium steel processing.…”
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Optimization and Verification of One-dimensional Three-field Model for Transient Analysis of Pressurized Water Reactor by YUAN Leqi1, LI Zanwang1, 2, FAN Jie1, 3, GOU Junli1, SHAN Jianqiang1

“…The improved code provides a more reliable tool for safety analysis of advanced reactor design. …”
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DEVELOPMENT OF A FUZZY COGNITIVE MAP MODEL FOR CREATING STEM PROJECTS IN PROFESSIONAL TRAINING OF FUTURE SPECIALISTS IN ENGINEERING AND PEDAGOGICAL SPECIALTIES by Derevyanchuk Oleksandr

“…Special attention is paid to STEM education, which is defined as a key tool in the formation of competencies for future specialists in the field of engineering and pedagogy. …”
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Comparative effects of square-stepping and strengthening exercises on cognitive and balance functions in chronic obstructive pulmonary disease: a randomized clinical trial by Alp Özel, Eylem Tütün Yümin, Suat Konuk

“…Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA; 0–30 points, with higher scores indicating better cognition), while the Standardized Mini-Mental State Examination (SMMSE; 0–30, cutoff < 23) was used as a screening tool to exclude significant cognitive impairment. …”
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Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization by Seoyoon Kwon, Minsoo Ji, Min Kim, Juliana Y. Leung, Baehyun Min

“…The method’s ability to dramatically reduce processing time while maintaining high accuracy makes it a valuable tool for enhancing oil field productivity and streamlining reservoir management decisions.…”
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Modelling water scarcity and water footprint of agricultural crops: A case from a semi-arid region in Morocco by Oumaima Attar, Marianna Leone, Anna Maria De Girolamo, Lhoussaine Bouchaou, Youssef Brouziyne, El Mahdi El Khalki, Hamza Berrouch, Soufiane Taia, Mohammed Hssaisoune, Yassine Ait Brahim

“…The Soil and Water Assessment Tool Plus (SWAT+) was used to simulate hydrological processes and estimate crop WF, including green and blue water components. …”
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Pretreatment CALLY index as promising novel biomarker in the prediction of surgical and oncological outcomes in esophageal cancer: a multi-center retrospective cohort study by Peize Meng, Tongtong Gu, Jiayong Xu, Haihua Huang, Hansong Jin, Yuchen Wang, Hang Zhang, Zheng Ruan

“…In both cohorts, CALLY index &gt; 2.55 were associated with significantly reduced risk of recurrence.ConclusionsThe CALLY index emerges as a cost-effective prognostic tool integrating inflammation-nutrition-immunity parameters. …”
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Stochastic Model of Emotional Stress Development in the Educational Process by A. A. Solodov, E. A. Solodova, T. G. Trembach

“…In this regard, the task is to develop such a mathematical model that would allow not only to give a theoretical explanation of the experimental results used in the Holmes and Rae stress calculator, but also to become a tool for studying the effect of stress on a person in other conditions, including in the process of educational activities of both the teacher and the learner.The research method consists in a mathematical description of the process of occurrence of stresses that develop over time, and it is believed that stresses occur at random times and are characterized by relative stress values indicated in the classical table of Holmes and Rae. …”
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A machine learning model for predicting lymph node positivity in ovarian cancer: development, validation, and clinical application by QingYong Guo, Jinji Wang, Ru Chen, LiPing Hu, Wenqiang You

“…To facilitate clinical translation, we developed a free, user-friendly online calculator, which allows clinicians to quickly estimate lymph node positivity risk using patient-specific clinical parameters. This tool can be accessed at http://127.0.0.1:6818 and serves as a practical, evidence-based aid to support individualized treatment decisions and potentially improve patient outcomes. …”
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Development of a method for differential diagnosis of iron deficiency anemia and anemia of chronic disease based on demographic data and routine laboratory tests using machine lear... by N. V. Varekha, N. I. Stuklov, K. V. Gordienko, R. R. Gimadiev, O. B. Shchegolev, S. N. Kislaya, E. V. Gubina, A. A. Gurkina

“…Prediction of SF level using the developed models can be used as an accurate and clinically relevant tool for differential diagnosis of iron deficiency anemia (predicted SF is decreased (&lt; 100 μg / L), C‑reactive protein is normal) and anemia of chronic diseases (predicted SF is normal or increased (&gt;100 μg / L), C‑reactive protein is increased) in real medical practice.…”
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Development and validation of a nomogram-based risk prediction model for non-alcoholic fatty liver disease (NAFLD): a logistic regression analysis in a physical examination populat... by Jing Lan, Ting Que, Hong Lan, Mingming Zhang, Lichan Ban

“…Existing prediction models, such as the Fatty Liver Index (FLI) and NAFLD Liver Fat Score (NLFS), mainly incorporate metabolic parameters from Western populations and neglect non-metabolic factors, limiting their generalizability. …”
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