A Hybrid MAGDM Approach of Neutrosophic TOPSIS LINMAP method for developing Enterprise Selection Criteria by G.Tamilarasi, S.Paulraj, M.Sivanandha Saraswathy, Thanuja T S

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Multi-Objective Optimal Scheduling of Water Transmission and Distribution Channel Gate Groups Based on Machine Learning by Yiying Du, Chaoyue Zhang, Rong Wei, Li Cao, Tiantian Zhao, Wene Wang, Xiaotao Hu

“…This study develops a synergistic optimization method of multiple gates integrating hydrodynamic simulation and data-driven methods, with the goal of improving the accuracy of water distribution and regulation efficiency. …”
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355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a community health system by Angela Muhanga, King Jason, Xsolis Mueller, Jennifer L. Sanger, Julie M. Bartlett, Brian N. Manz, James W. Spiten, Matthew J. Overgaard, Shauna M. Wang Hanyin

“…To assess the accuracy of AI-generated DRG predictions for inpatient discharges, we analyzed data from 930 patients hospitalized at MCHS Mankato between March 2 and May 13, 2024. …”
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Predictive potential of cardiovascular risk factors and their associations with arterial stiffness in people of European and Korean ethnic groups by T. A. Brodskaya, V. A. Nevzorova, K. I. Shakhgeldyan, B. I. Geltser, D. A. Vrazhnov, Yu. V. Kistenev

“…In Koreans, the threshold values of these factors can be significantly higher than in Europeans.Conclusion. Developed using modern machine learning technologies, the assessment aortic PWV models taking into account the ethnic factor can be a useful tool for processing and analyzing data in predictive studies.…”
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Developing and validating a culturally tailored questionnaire to assess COVID-19 vaccine hesitancy in Israel’s ultraorthodox Jewish population by Imanuel Ber, Wasef Na’amnih, Saritte Perlman, Ben Kasstan, Yehuda Lerman, Khitam Muhsen

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Lifestyle‐Related Risk Factors for Pancreatic Ductal Adenocarcinoma: A Longitudinal Analysis of 1,120,377 Individuals From the NHISS Cohort by Hyunseok Jee

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Methamphetamine-associated pulmonary arterial hypertension: data from the national biological sample and data repository for pulmonary arterial hypertension (PAH Biobank) by Prangthip Charoenpong, Navneet Dhillon, Kevin Murnane, Nicholas Goeders, Nicole Hall, Courtney Keller, Mohammad Alfrad Nobel Bhuiyan, Robert Walter

“…It also examines sex differences in clinical and physiological parameters among those with MA-PAH.Design This is a cross-sectional study using clinically derived data from the National Biological Sample and Data Repository for Pulmonary Arterial Hypertension (PAH biobank), a US-based registry, to compare clinical and physiological characteristics between males and females with MA-PAH.Population The analysis included 1830 patients enrolled in the PAH biobank, with a diagnosis of MA-PAH (n=42), IPAH (n=1073), or CTD-PAH (n=715).Main outcome measures The study assessed and compared the clinical and haemodynamic parameters of patients with MA-PAH, IPAH and CTD-PAH.Results Among the patients analysed, 42 had MA-PAH, with 69.1% being female. …”
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Color Development Mechanism of Urea–Urethane Developers for High-Performance Thermo-Sensitive Paper by Saori Gontani, Sakiko Takeshima, Shinya Matsumoto, Kazuo Kabashima

“…The stability of the black amorphous solids was also evaluated using thermal analysis and molecular orbital calculations in addition to IR data. …”
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How does city group risk-taking affect climate-friendly technology innovation in cities? Evidence from China by Xiaohui Chen, Hongwei Zhang

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The effectiveness of positive group psychotherapy on increasing resilience, reducing anxiety and burnout among nurses of the Covid-19 care department by Hamed Ghodsi, Shahed Masoudi, Hossein Ebrahimi Moghadam

“…Data were analyzed using univariate analysis of covariance (ANCOVA). …”
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Rational emotive behavior therapy to overcome anxiety post-flood disaster by Ririanti Rachmayanie J., Akhmad Sugianto, Selamad Riyadi

“…The data analysis technique used to test the effectiveness used the Man Whitney test formula, while the validity and practicality test of the manual used the ideal criterion formula. …”
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Methodology of a marketing research of Internet users by I. Yu. Alexandrova

“…The article is aimed at identification of methodological specifics of a marketing research of Internet users, development of its concept. The stated goal is achieved by means of the solution of the following tasks: the analysis and systematization of the goals of the marketing research of the Internet users; identification and systematization of the empirical indicators, which are necessary for the research of the Internet users; the analysis and systematization of methods, techniques, the technician and procedures of a research of empirical indicators, including, special services, corresponding to methods of collecting primary empirical data in the web environment. …”
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Firms and the path to circular economy: unveiling the impact of ownership dynamics and innovation capacity through advanced econometric and quantile regression analysis by Ibrahim Adam, Abednego Osei, Rita Akua Aboagye

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Piloting a minimum data set (MDS) in english care homes: a qualitative study of professional perspectives on implementation and data use by Rachael E. Carroll, Nick Smith, Sinead ER Palmer, Jennifer Kirsty Burton, Adam Lee Gordon, Ann-Marie Towers, Stacey E. Rand, Freya Tracey, Anne Killett, Lucy Webster, Barbara Hanratty, Karen Spilsbury, Gizdem Akdur, Kaat De Corte, Julienne E. Meyer, Liz Jones, Claire Goodman

“…Reflexive thematic analysis was used to develop themes. Results Twenty-four staff from 22 care homes and 16 staff from 15 care homes participated in five wave one and four wave two focus groups respectively. …”
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The REDATAM format and its challenges for data access and information creation in public policy by Mauricio Vargas Sepúlveda, Lital Barkai

“…However, significant limitations persist, including its proprietary nature, lack of documentation, and restricted flexibility for advanced data analysis. These challenges hinder the transformation of raw census data into actionable information for policymakers, researchers, and advocacy groups. …”
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Comparative analysis of story-grammar development: a cross-sectional study of Tamil-speaking child cochlear implant users and hearing peers in Tamil Nadu, India by Jenithaa Muthu, Krupa Venkatraman, Latika Ganesh

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Canonical correlation analysis for multi-omics: Application to cross-cohort analysis. by Min-Zhi Jiang, François Aguet, Kristin Ardlie, Jiawen Chen, Elaine Cornell, Dan Cruz, Peter Durda, Stacey B Gabriel, Robert E Gerszten, Xiuqing Guo, Craig W Johnson, Silva Kasela, Leslie A Lange, Tuuli Lappalainen, Yongmei Liu, Alex P Reiner, Josh Smith, Tamar Sofer, Kent D Taylor, Russell P Tracy, David J VanDenBerg, James G Wilson, Stephen S Rich, Jerome I Rotter, Michael I Love, Laura M Raffield, Yun Li, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Analysis Working Group

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Development of an MRI based artificial intelligence model for the identification of underlying atrial fibrillation after ischemic stroke: a multicenter proof-of-concept analysisRes... by Zijie Zhang, Yang Ding, Kaibin Lin, Wenli Ban, Luyue Ding, Yudong Sun, Chuanliang Fu, Yihang Ren, Can Han, Xue Zhang, Xiaoer Wei, Shundong Hu, Yuwu Zhao, Li Cao, Jun Wang, Saman Nazarian, Ying Cao, Lan Zheng, Min Zhang, Jianliang Fu, Jingbo Li, Xiang Han, Dahong Qian, Dong Huang

“…Findings: The top-performing combined classifier achieved an AUC of 0.94 (95% CI, 0.90–0.98) in the internal retrospective validation group, 0.85 (95% CI, 0.79–0.91) in the external validation group, and 0.87 (95% CI, 0.90–0.98) in the prospective test group. …”
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Assessing the risks of abuse of opioids in real-world data by M. V. Pchelintsev

“…Assessment data have a comparative character with opioids. In analyzed articles, the authors used different methodological approaches to the assessment of strong opioids narcogenicity, in particular to the evaluation of the results of population-based cohort studies, to the analysis of large databases accumulating data on different drug abuse, including opioids, data on intoxication with preparations of the group, and some others. …”
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Staff turnover management based on HR analytics data by M.V. Chudinovskikh, A.N. Tkach, D.Y. Korolkov

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