Perceptions of asset managers on corporate social responsibility challenges and opportunities by Kara Nel, Pierre D. Erasmus, Nadia Mans-Kemp

“…Thirdly, the inclusion of CSR practices in asset managers’ decision-making was hindered by the relatively small South African investable market, a limited demand for responsible investments from asset owners and beneficiaries, and insufficient disclosure of material sustainability information. …”
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Practice patterns on the management of secondary hyperparathyroidism in the United States: Results from a modified Delphi panel. by David E Henner, Beatrice Drambarean, Teresa M Gerbeling, Jessica B Kendrick, William T Kendrick, Lisa Koester-Wiedemann, Thomas L Nickolas, Anjay Rastogi, Anis A Rauf, Brenda Dyson, Michael C Singer, Pooja Desai, Kathleen M Fox, Sunfa Cheng, William Goodman

“…Despite evidence-based treatment preferences supported by clinical experience, factors other than scientific evidence influence decision making, particularly with medications.…”
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Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling by Petr Silhavy, Katerina Hlavackova-Schindler, Radek Silhavy

“…Accurate model selection is essential in predictive modelling across various domains, significantly impacting decision-making and resource allocation. Despite extensive research, the model selection process remains challenging. …”
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Structural bioinformatics for rational drug design by Soroush Mozaffari, Agnethe Moen, Che Yee Ng, Gerry A.F. Nicolaes, Kanin Wichapong

“…Artificial intelligence models, alongside traditional physics-based simulations, now play an important role in predicting key properties such as binding affinity and toxicity, contributing to more informed decision-making, particularly early in the drug discovery process. …”
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Evolving prognostic paradigms in lung adenocarcinoma with brain metastases: a web-based predictive model enhanced by machine learning by Min Liang, Zhiwen Zhang, Langming Wu, Mafeng Chen, Shifan Tan, Jian Huang

“…Conclusions This study has developed an XGBoost-based machine learning model with an accompanying web-based application, providing a novel resource for clinicians to support personalized decision-making and enhance treatment outcomes for LUAD patients with BM.…”
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Solvable constraints and unsolvable limits to global climate adaptation in coastal Indigenous food security by Eranga K. Galappaththi, Sithuni M. Jayasekara, Chrishma D. Perera, Gayanthi A. Ilangarathna, Hannah Garbutt

“…The findings of the study provide valuable insights for policymakers, researchers and other relevant stakeholders involved in decision-making regarding coastal food security in the climate change adaptation context.…”
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Development and evaluation of a maturity assessment tool for integrating building information modelling into operations and maintenance phase of buildings by Dania K. Abideen, Akilu Yunusa-Kaltungo, Clara Cheung, Patrick Manu

“…It enhances data consistency, optimised long-term asset management, data-driven decision-making, and provides a foundation for future research and technology integration.…”
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Interacting Large Language Model Agents Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…While both fields are mature, their application to decision-making involving interacting LLMAs remains unexplored. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…These findings also offer essential theoretical and empirical insights for the future improvement of urban wastewater treatment technologies and water resource management decision-making.…”
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SOCIO-ECONOMIC DETERMINANTS OF WOMEN PARTICIPATION IN AGRICULTURE IN OLAMABORO LOCAL GOVERNMENT AREA, KOGI STATE by Silas Joshua, Blessing Omahas

“… Women play a critical role in agricultural growth in developing countries, men and women smallholder farmers – even within the same household – often have different needs and priorities and experience different constraints in their access to agricultural resources and decision-making power. This study analysed women participation in agricultural production in Olamoboro Local Government Area of Kogi State, Nigeria. …”
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Estimating the Economic and Clinical Value of Reducing Antimicrobial Resistance to Three Gram-negative Pathogens in Japan by Tetsuya Matsumoto, Oliver Darlington, Ryan Miller, Jason Gordon, Phil McEwan, Takahisa Ohashi, Amer Taie, Akira Yuasa

“…**Discussion:** Learnings from this study can be used by the Japanese government to help inform decision-making on the strategies that may be included in the upcoming National AMR Action Plan and facilitate allocation of the required budget. …”
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Implementation of Fuzzy Logic in the Monitoring and Controlling System for Temperature and pH of Fry Aquarium Water Betta Fish Based on the Internet of Things by Rico Wahyudi, Aulia Ullah, Hilman Zarory, Ahmad Faizal

“…This system is implemented in an aquarium equipped with artificial intelligence in decision making which aims to keep the temperature and pH of the aquarium water stable. …”
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A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation by Xi Chen, Yu Wan, Jingtao Qi, Zipeng Zhao, Yirun Ruan, Jun Tang

“…Second, the desired solution of real missions often needs to satisfy multiple objective functions, or a set of solutions for decision-making. Therefore, this paper constructs a Multi-objective Combinatorial Optimization in Multi-UAV Task Allocation Problem (MCOTAP) model, and proposes a Bi-subpopulation Coevolutionary Immune Algorithm (BCIA). …”
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The Hidden Influence and Catalysts of Religious and Moral Education in Ghanaian Basic Schools: Co-Curricular Activities in Perspective by Dennis Tawiah, John Kwaku Opoku, Peter Addai-Mensah

“…The study highlights the benefits of co-curricular activities, including the development of empathy, tolerance, leadership skills, and ethical decision-making. Despite these benefits, challenges such as limited resources, inadequate logistic support, and stakeholder disinterest hinder effective implementation. …”
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Advancing Inclusive Participatory Community Based Approaches Towards Fair Transitions and Land Governance in Developing Countries. The Case of Kigali City – Rwanda. by David

“…This study concludes that advancing inclusive land governance requires leveraging technology, enhancing digital infrastructure, and engaging all stakeholders—particularly marginalized communities—in decision-making processes. The findings underscore the importance of gender inclusiveness and technological innovation in ensuring equitable land governance in developing countries.   …”
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Genetics of Inflammatory Bowel Disease: Current Understanding and Future Directions by P. K. Chandra Sekar, R. Veerabathiran

“…Additionally, the use of certain IBD medications, such as corticosteroids, azathioprine, and infliximab, may have implications for male fertility, necessitating a nuanced understanding of these potential effects for informed decision-making in IBD management. This comprehensive understanding of the genetic landscape, functional implications, and diagnostic strategies is vital for advancing personalized treatments and improving outcomes in individuals with IBD.Conclusion. …”
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Navigating uncertainty in environmental DNA detection of a nuisance marine macroalga. by Patrick K Nichols, Kaʻuaʻoa M S Fraiola, Alison R Sherwood, Brian B Hauk, Keolohilani H Lopes, Colt A Davis, James T Fumo, Chelsie W W Counsell, Taylor M Williams, Heather L Spalding, Peter B Marko

“…Successful implementation of eDNA tools in conservation decision-making requires balancing uncertainties in both visual and molecular detection methods. …”
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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…The proposed work also incorporates Grad-CAM-based Explainable Artificial Intelligence (XAI) to visualize and interpret the decision making of the network. The proposed model demonstrated better performance on the DFUC-2021 dataset, surpassing existing works and pre-trained CNN architectures with an accuracy of 78.79% and a macro F1-score of 80%.…”
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Microsimulation models on child and adolescent health: a scoping review protocol by Filipa Sampaio, Claire de Oliveira

“…As a result, these models can be useful tools to help guide decision-making. A comprehensive review of the literature on child and adolescent microsimulation models has yet to be undertaken. …”
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Assessment of Malaysia-wide PM2.5 Forecasts from a Global Model by Zhixian Tan, Mohd Talib Latif, Matthew J. Ashfold

“…To reduce impacts, forecasting PM2.5 can enable effective PM2.5 management and decision-making. Until now, PM2.5 forecasts via a global mechanistic chemical transport model (CTM) have not been evaluated in the setting of Malaysia, where operational PM2.5 forecasting systems for preventive warnings are not yet deployed. …”
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