Carbon Footprint of Composting and Vermicomposting of Household Biowaste: A Decision-Making Factor for Regional Biowaste Recovery Policies? by Chantal Berdier, Muriel Maillefert, Mathilde Girault

“…It is based on the carbon footprint method defined by the French Agency for Ecological Transition (ADEME). …”
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Development of a framework to structure decision-making in environmental and occupational health: A systematic review and Delphi study by Emily Senerth, Paul Whaley, Elie Akl, Brandy Beverly, Pablo Alonso-Coello, Ezza Jalil, Jayati Khattar, Nicole R. Palmer, Andrew Rooney, Holger J. Schünemann, Kristina A. Thayer, Katya Tsaioun, Rebecca L. Morgan

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How Does Herbicide Resistance Change Farmer’s Weed Management Decisions? Evidence from the Roundup Ready Experiment by Huichun Sun, Terrance Hurley, George B. Frisvold, Katherine Dentzman, David Ervin, Wesley Everman, Jeffrey Gunsolus, Jason Norsworthy, Micheal Owen

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The GPR survey method in combination with destructive testing methods for the hydraulic structures technical condition studying by Suprun Veronika, Kovalenko Ivan, Ustinova Viktoriya

“…Promising research and monitoring methods were used: testing of concrete core samples using universal testing machine MIM.4-1000 and ground penetrating radar probing (by the GPR OKO-3) with ground penetrating radar survey of HS. …”
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Causal knowledge graph construction for enterprise innovation events in the digital economy and its application to strategic decision-making by Pengfei Wu, Bingtao Xu, Xuhan Zhang

“…The goal is to represent events (e.g. product launches, strategic investments) as nodes and their causal relationships as directed edges, enabling advanced reasoning about how one innovation leads to another. Our method first extracts enterprise-related events using neural language models, then identifies causal links between events with a specialized classifier, and finally integrates these into a knowledge graph that can support strategic decision-making. …”
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Enhancing Supplier Ealuation and Selection in Supply Chain Using a PROMETHEE-Based Decision-Making Support System by Marzieh Afshari, Hassan Farsijani

“…Another well-known multi-criteria method, that is, F-ANP was also used for the decision-making process in this research. …”
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Role of Informed Consent in a Decision-making on Participation in The Clinical Trial: Multicenter study in Russia “Face to Face” by O. I. Zvonareva, E. S. Kulikov, I. A. Deev, O. S. Kobyakova, O. S. Fedorova, N. A. Kirillova, E. A. Starovoytova, N. G. Zhukova, I. A. Zhukova, V. V. Esip, E. D. Schastnyy, N. V. Khurkhurova, L. Yu. Nikitina, T. S. Golosova, I. D. Pimenov, M. A. Netaeva, S. V. Fedosenko

“…Thus, when assessing the impact of the researcher on the review process of informed consent with the decision to participate in clinical trials, we found that in the case of assistance of the researcher, the acquaintance time with IC is reduced three times. …”
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Deep reinforcement learning model for Multi-Ship collision avoidance decision making design implementation and performance analysis by Rongjun Pan, Wei Zhang, Shijie Wang, Shuhua Kang

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A Mobile App Designed to Promote Shared Decision-Making in the Treatment of Psychotic Disorders: Feasibility and Acceptability Study by Mari Skoge, Sofie Ragnhild Aminoff, Elizabeth Ann Barrett, Gina Engen Bryhni, Kristine Kling, Kari Jorunn Kværner, Ingrid Melle, Erlend Mork, Carmen Simonsen, Linn Nathalie Støme, Josina Vink, Tor Gunnar Værnes, Kristin Lie Romm

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The New Integrated Interval-Valued Fermatean Fuzzy Decision-Making Approach with the Implementation of Green Supply Chain Management by Murat Kirişci, Serdar Kuzu, Ali Kablan, Volkan Öngel

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Comparison of ChatGPT and Internet Research for Clinical Research and Decision-Making in Occupational Medicine: Randomized Controlled Trial by Felix A Weuthen, Nelly Otte, Hanif Krabbe, Thomas Kraus, Julia Krabbe

“…MethodsIn this randomized controlled study, the usability of ChatGPT for medical research and clinical decision-making was investigated using a web application developed for this purpose. …”
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Phenomenology and Christian Philosophy: Edith Stein’s Three Turns by Joyce Avrech Berkman

“…She thought that Christianity and Philosophy were reciprocal partners, not antagonists, in the search for fundamental truths of life and death. Stein’s three turns, which this essay explores historically and biographically, feature her decision to apply phenomenological philosophical methods and insights to the realm of religion, her move to a Christian perspective and finally her choice of Catholicism as her belief system. …”
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Goal-oriented autonomous decision-making for social robots via collaborative interactive inverse reinforcement learning approach by Mingyue Luo, Hui Li, Wanbo Luo, Hewei Li, Jianan Li

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Novel Multicriteria Decision Making Approach for Interactive Aggregation Operators of q-Rung Orthopair Fuzzy Soft Set by Rana Muhammad Zulqarnain, Imran Siddique, Aiyared Iampan, Jan Awrejcewicz, Maksymilian Bednarek, Rifaqat Ali, Muhammad Asif

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Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI by Khan Muhammad Adnan, Taher M. Ghazal, Muhammad Saleem, Muhammad Sajid Farooq, Chan Yeob Yeun, Munir Ahmad, Sang-Woong Lee

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Optimization of MSMEs Clustering in Sampang District Using K-Medoids Method and Silhouette Coefficient Method by Muhammad Iqbal Firmansyah, Yeni Kustiyahningsih, Eza Rahmanita, Mochammad Syahrul Abidin, Budi Dwi Satoto

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Lessons learned from COVID-19 modelling efforts for policy decision-making in lower- and middle-income countries by Jacinta Nzinga, Jacquie Oliwa, Fatuma Hassan Guleid, Raymond Cw Hutubessy, Brittany L Hagedorn, Collins J Owek, Justinah Maluni, Joyline Jepkosgei, Vincent O Were, So Yoon Sim

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Trust in Artificial Intelligence–Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review by Hein Minn Tun, Hanif Abdul Rahman, Lin Naing, Owais Ahmed Malik

“…Eight key themes emerged as pivotal in improving health care workers’ trust in AI-CDSSs: (1) System Transparency, emphasizing the need for clear and interpretable AI; (2) Training and Familiarity, highlighting the importance of knowledge sharing and user education; (3) System Usability, focusing on effective integration into clinical workflows; (4) Clinical Reliability, addressing the consistency and accuracy of system performance; (5) Credibility and Validation, referring to how well the system performs across diverse clinical contexts; (6) Ethical Consideration, examining medicolegal liability, fairness, and adherence to ethical standards;(7) Human Centric Design, pioritizing patient centered approaches; (8) Customization and Control, highlighting the need to tailor tools to specific clinical needs while preserving health care providers’ decision-making autonomy. …”
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The implementation challenge of computerised clinical decision support systems for the detection of disease in primary care: systematic review and recommendations by Christina Derksen, Fiona M. Walter, Adriana B. Akbar, Asha V. E. Parmar, Tyler S. Saunders, Thomas Round, Greg Rubin, Suzanne E. Scott

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Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems by Aida Brankovic, David Cook, Jessica Rahman, Alana Delaforce, Jane Li, Farah Magrabi, Federico Cabitza, Enrico Coiera, DanaKai Bradford

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