Does trust mediate the determinant factor of airplane e-ticket purchase decisions using mobile applications? by Edy Sulistiyawan, Suharyanto Suharyanto, Indra Kurniawan, Bisma Arianto, Siti Samsiyah

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Peer effects on rural household carbon emissions in China by Nana Yan

“…A systematic study was conducted using double/debiased machine learning method and Probit (Logit) models to investigate the relationship and mechanism between the same group effect and household carbon emissions. …”
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A Novel Decision-Making Process in the Environment of Generalized Version of Fuzzy Sets for the Selection of Energy Source by Joseph David Madasi, Salma Khan, Nasreen Kausar, Dragan Pamucar, Gezahagne Mulat Addis, Muhammad Gulistan

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WORLD OIL PRICE FORECAST ON BASIS OF EXPERT NON-NUMERIC KNOWLEDGE by Yu. A. Nazarova

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Sustainable Supplier Selection through Multi-Criteria Decision Making (MCDM) Approach: A Bibliometric Analysis by Khoiron Khulud, Ilyas Masudin, Fien Zulfikarijah, Dian Palupi Restuputri, Abdul Haris

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Effect of Individual Counseling on the Participation Rate of Pregnant Mothers in Decision Making on the Treatment Process: Clinical Trial by Rashin Nasiri, Fatemeh Ranjkesh, Forozan Olfati, Maryam Mafi

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Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

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Rapid implementation of a clinical decision-support workflow during the national blood culture bottle shortage by Saira Butt, Amy B. Kressel, Brian L. Haines, Katherine Merrill, Amber M. Ryan, Kenneth C. Gavina, Bree Weaver, Michael Kays, Molly Tieman, Margaret Muciarelli, Phillip Clapham

“…Aim: Implement a workflow to mitigate the BC bottle shortage at our hospital. Methods: We created the following clinical decision support workflow in electronic medical record to help mitigate BC bottle use: (a) limit to two BC in 24 hours, (b) only repeat BC if 72 hours have passed from the prior sets, (c) do not repeat BC for coagulase-negative Staphylococcus bacteremia when considered a contaminant (i.e., no implanted vascular device), (d) do not repeat BC for Streptococcus bacteremia, (e) do not repeat cultures for Gram-negative rod bacteremia unless an unknown source, immunosuppression, or clinical worsening. …”
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Influenza vaccination uptake and factors influencing vaccination decision among patients with chronic kidney or liver disease. by Michael Eder, Haris Omic, Jana Gorges, Florian Badt, Zeljko Kikic, Marcus D Saemann, Allison Tong, David Bauer, Georg Semmler, Thomas Reiberger, Heimo Lagler, Bernhard Scheiner

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Regulated Pricing Decisions and Diagnostic Test Choices in Personalized Medicine: Navigating the Implications Within Legal Frameworks by Cui Z, Liu X, Feng Z, Huang Z

“…In this context, this study investigates whether the government should regulate the price of personalized medicine and how the government’s regulated pricing decisions affect drug manufacturers’ diagnostic test choices.Methods: A stylized analytical model was developed, employing game-theoretic analysis. …”
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Impact of polygenic risk score (PRS) for coronary artery disease on physician decision-making and patient care by Georgios Ntritsos, Georgios Ntritsos, Erez Ornan, Nir Gamliel, Gil Chernin, Arnold Pallay, Michael Chen, Efi Kessous, Eran Feldhay

“…IntroductionPolygenic risk scores (PRS) have emerged as a promising tool for refining cardiovascular risk prediction, yet their real-world impact on physician decision-making remains unclear. This study aimed to evaluate how the integration of a coronary artery disease (CAD) PRS with traditional clinical risk factors influences physician management strategies.MethodsWe conducted a multicenter, prospective, open-label pilot study across three clinical sites. …”
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Dynamic Modeling of Limit Order Book and Market Maker Strategy Optimization Based on Markov Queue Theory by Fei Xie, Yang Liu, Changlong Hu, Shenbao Liang

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Modelling structural relations between financial, social-economic and healthcare factors by Iryna Pozovna, Karolina Hałuszko, Anna Polishchuk

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Estimating Usual Intakes Affecting the Macronutrient and Micronutrient Distribution among the Adolescent Population: A Study of Slovenian National Dietary Surveys SI.Menu 2017/18 by Hristo Hristov, Rok Poličnik, Matej Gregorič, Masa Hribar, Igor Pravst

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Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making by Mabel López Bordao, Antonia Ferrer Sapena, Carlos A. Reyes Pérez, Enrique A. Sánchez Pérez

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Artificial Intelligence Dystocia Algorithm (AIDA) as a Decision Support System in Transverse Fetal Head Position by Antonio Malvasi, Lorenzo E. Malgieri, Tommaso Difonzo, Reuven Achiron, Andrea Tinelli, Giorgio Maria Baldini, Lorenzo Vasciaveo, Renata Beck, Ilenia Mappa, Giuseppe Rizzo

“…Traditional assessment methods rely on digital examination, which can be inaccurate in cases of prolonged labor. …”
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Exploring Usability of a Clinical Decision Support System for Cancer Care: A User‐Centered Study by Darya Chyzhyk, Maddi Arregi, Maria Errazquin, Ainhoa Ariceta, Macarena Sevilla, Roberto Álvarez, Maider Alberich Inchausti

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Development of a model for detection and analysis of inclusions in tomographic images of iron castings using decision trees by Dorota Wilk-Kołodziejczyk, Aleksandra Nowotny, Izabela Krzak, Adam Tchórz, Krzysztof Jaśkowiec, Marcin Małysza, Adam Bitka, Mirosław Głowacki, Marzanna Książek, Łukasz Marcjan

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Nurses’ knowledge, attitudes, and decision-making related to sepsis assessment and management in Palestinian intensive care units by Hatem Khallaf, Moath Abu Ejheisheh, Malakeh. Z. Malak, Anas Shehadeh, Ahmad Ayed, Ahmad Batran, Mosaab Farajallah

“…A structured self-reported questionnaire comprising three sections: socio-demographic characteristics, Nurses’ Knowledge and Attitudes Survey, and the Nurses’ Decision-Making Instrument (NDMI) was used to collect the data from April to June 2024. …”
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Integrating building information modeling and bayesian network for enhanced go/no-go decisions in building demolition projects by T.J.W. Adi, Y.P. Devia, N. Andriyani

“…The objectives of the study were to provide a more accurate, reliable, and systematic tool that improves planning, reduces uncertainty, and promotes safety, efficiency, and sustainability in building demolition practices.METHODS: This study integrates Building Information Modeling data with Bayesian Network probabilistic analysis to assess structural, environmental, and managerial factors influencing demolition decisions. …”
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