A Nomogram Based on Apelin-12 for the Prediction of Major Adverse Cardiovascular Events after Percutaneous Coronary Intervention among Patients with ST-Segment Elevation Myocardial... by Enfa Zhao, Hang Xie, Yushun Zhang

“…This practical prognostic nomogram may help clinicians in decision making and enable a more accurate risk assessment.…”
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Health literacy in context: struggling to self-manage diabetes – a longitudinal qualitative study by Xavier Debussche, Maryvette Balcou-Debussche, Delphine Ballet, Jessica Caroupin-Soupoutevin

“…Social support and relationship to health professionals were important determinants of disease management.Conclusions Treatment management and disease monitoring remain primarily the job of health professionals, as opposed to diet, physical activity and social support being part of ordinary practice. Decision-making, as a shared social task, as well as resources for participation in health services, should be considered for relevant interventions in type 2 diabetes.Trial registration number NCT01425866.…”
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Construction and Application of Enterprise Internal Audit Data Analysis Model Based on Decision Tree Algorithm by Yuna Si

“…At the same time, a visual fuzzy decision-making system based on Fuzzy ID3 and Min-Ambiguity algorithm was designed. …”
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The evolution of the Gulf Coopera-tion Council approaches to security issues after the Arab Spring by E. S. Melkumyan

“…This paper attempts to identify the key milestones, factors and trends that have shaped the GCC decision-making process in the security sphere over the past 10 years since the beginning of the Arab Spring. …”
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optimal location to reduce earthquake vulnerability of cities (Case study: Bojnord) by sana rahmani, sayed hossein vahedi, leila abedi far, saleh ebrahimi pour

“…Due to the unexpected nature of most natural disasters and the need for rapid and accurate decision-making and implementation process, fundamental and theoretical basis has created a knowledge called crisis management. …”
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Reducing Emissions Using Artificial Intelligence in the Energy Sector: A Scoping Review by Janne Alatalo, Eppu Heilimo, Mika Rantonen, Olli Väänänen, Tuomo Sipola

“…Secondly, AI techniques are utilized for forecasting, which aids in optimizing decision-making, energy transmission, and production planning. …”
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Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study by Yuanjun Guo, Zhile Yang, Shengzhong Feng, Jinxing Hu

“…The real-system cases demonstrate the effectiveness and great potential of the Big Data platform; therefore, data resources can achieve their full potential value for strategies and decision-making for smart grid. The proposed platform can provide a technical solution to the multidisciplinary cooperation of Big Data technology and smart grid monitoring.…”
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OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering

“…The developed user-friendly XAI software tool shows potential as a valuable tool for eye care practitioners, offering transparent and interpretable insights to improve decision-making.…”
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Ultrasound evaluation of gallbladder wall thickness for predicting severe dengue: a systematic review and meta-analysis by Amirhossein Shahsavand Davoudi, Hamid Harandi, Reza Samiee, Shayan Forghani, Keyhan Mohammadi, Maryam Shafaati

“…Conclusions A reliable ultrasound indicator, GBWT can help identify patients at risk for severe dengue early on, improving clinical decision-making and patient outcomes. However, the possibility of differential diagnosis requires cautious interpretation.…”
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A Comparative Review of Alternative Fucoidan Extraction Techniques from Seaweed by Matthew Chadwick, Loïc G. Carvalho, Carlos Vanegas, Simone Dimartino

“…This framework should allow for a robust extraction selection process that integrates process scale, cost and constraints into decision making. Key quality attributes for biologically active fucoidan are proposed, and areas for future research are identified, such as studies for specific bioactivities aimed at elucidating fucoidan’s mechanism of action. …”
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The U.S. Withdrawal from UNESCO under the Reagan Administration: A Multilevel Analysis by B. A. Avdeev

“…Waltz’s methodology of multilevel analysis the article reconstructs the chronology of the decision-making process, identifies its internal and external determinants, and outlines its key actors. …”
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Patient autonomy and metabolic bariatric surgery: an empirical perspective by Shelly Kamin-Friedman, Nili Karako-Eyal, Galya Hildesheimer

“…In addressing this issue, the study focuses on two key questions: first, which factors influence MBS candidates during the decision-making process, and second, whether these influences undermine the candidates' ability to make decisions voluntarily, according to theories of autonomy. …”
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Some Novel Concepts of Bipolar Picture Fuzzy Influence Graphs Models With Application Toward MADM by Waheed Ahmad Khan, Mahnoor Bushra, Trung Tuan Nguyen, Minh Hoan Pham, Hai van Pham

“…The main objective of this study is to introduce the concepts of some connectivity parameters and dominations in the frame of bipolar picture fuzzy influence graphs and explore their application in multi-attribute decision-making. Due to its inherent prosperities, bipolar picture fuzzy influence graphs is a powerful mathematical tool for addressing uncertain problems where fuzzy influence graphs, bipolar fuzzy influence graph and picture fuzzy influence graph may fail to yield precise results. …”
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Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique by Sengottaiyan N., Ananthi J., Rajesh Sharma R., Hamsanandhini S., Sungheetha Akey, Chinnaiyan R., Ketema Adare Gemeda

“…Disaster prediction systems are essential tools for enhancing public safety, reducing the impact of disasters, and enabling more informed and strategic decision-making across various sectors. Their development and implementation represent a crucial aspect of modern disaster risk management and resilience systems. …”
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Pilot Study on AI Image Analysis for Lower-Limb Reconstruction—Assessing ChatGPT-4’s Recommendations in Comparison to Board-Certified Plastic Surgeons and Resident Physicians by Silke Graul, Michael A. Pais, Rafael Loucas, Tobias Rohrbach, Elias Volkmer, Sebastian Leitsch, Thomas Holzbach

“…Our results suggest that board-certified plastic surgeons remain essential for patient-specific treatment planning, while AI can support decision-making. This reaffirms the role of AI as a supportive tool, rather than a replacement, in reconstructive surgery.…”
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Landscape Patterns and Ecosystem Services Are Critical for Contributions to Sustainable Development Goals by Xue Miao, Zihao Guo, Congbin Leng, Jinliang Hou, Qingping Cheng, Hede Gong

“…Overall, this study provides critical scientific decision-making references for local governments in promoting the realization of SDGs and the construction of a more beautiful Lincang. …”
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Gouvernance de l’eau potable et dynamiques locales en zone rurale au Bénin by Bernard G. Hounmenou

“…The major principles of the strategy are among other things, the decentralisation of decision making process, as well as communities’ participation to investment and water point management. …”
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Building resilience against cholera: lessons from the implementation of integrated community strategy for cholera control in Zambia by Nyuma Mbewe, Fred Kapaya, Moses Mwale, Peter Jay Chipimo, Precious Kalubula, Ladislas Hibusu, Stella Mumba Chomba Mulima, Kafusha Kapema, Kelvin Mwangilwa

“…The strategy’s emphasis on data-driven decision-making and adaptation to local socio-cultural dynamics was crucial for its effectiveness. …”
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Medical negligence compensation claims in knee meniscal surgery in Norway: a cross-sectional study by Frank-David Øhrn, Asbjørn Årøen, Tommy Frøseth Aae

“…Surgeons should be aware of this and take this into account in the decision-making before surgery.…”
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Integrated risk analyses as part of national climate risk assessments: lessons learnt from the climate risk assessment of Germany by Walter Kahlenborn, Maike Voss, Luise Porst, Marc Zebisch, Kathrin Renner, Inke Schauser

“…Nevertheless, the German example demonstrates that integrated analyses can provide a comprehensive overview over risk dynamics, (spatial) patterns and needs for action thus providing practical advice for decision-making on a national adaptation policy level. …”
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