Development of Screening Tools for the Interpretation of Chemical Biomonitoring Data by Richard A. Becker, Sean M. Hays, Steven Robison, Lesa L. Aylward

“…These approaches employ varying levels of existing chemical-specific data, chemical class-specific assessments, and generic modeling tools in response to varying levels of available data in order to allow assessment and prioritization of chemical exposures for refined assessment in a risk management context.…”
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A New Class of Heavy-Tailed Distributions: Modeling and Simulating Actuarial Measures by Jin Zhao, Zubair Ahmad, Eisa Mahmoudi, E. H. Hafez, Marwa M. Mohie El-Din

“…Statistical distributions play a prominent role for modeling data in applied fields, particularly in actuarial, financial sciences, and risk management fields. Among the statistical distributions, the heavy-tailed distributions have proven the best choice to use for modeling heavy-tailed financial data. …”
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Loan interest rates, credit guarantees, and lifestyle on credit making decisions at financing companies by Hendri Herman, Vargo Christian L Tobing, Andi Hidayatul Fadlilah, Syahrial Shaddiq, Muhammad Bahit

“…They impact the affordability of loans for borrowers, the profitability and risk management for lenders, and are influenced by economic conditions and regulations. …”
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The Future of Law Firms (and Lawyers) in the Age of Artificial Intelligence by Anthony E. Davis

“…Part IV identifies the principal legal, ethical, regulatory and risk management issues raised by the use of AI in the provision of legal services. …”
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Perception et gestion de l’érosion et des ressources en eau par les agriculteurs et les éleveurs du bassin versant de l’ibicuí (RS, Brésil) by Guillaume Leturcq, François Laurent, Rosa Vieira Medeiros

“…This research shows us finally that a better environmental risk management will go through a comprehensive approach of the technical and cultural universe of the farmers like their economic constraints.…”
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Credit risk prediction with corruption perception index: machine learning approaches by Cuong Nguyen Thanh, Tam Phan Huy, Tuyet Pham Hong, An Bui Nguyen Quoc

“…By addressing limitations of traditional risk assessment methods, this study highlights machine learning’s effectiveness in integrating corruption indices for better credit risk management. The insights benefit investors, bank managers, and policymakers, emphasizing the need for anti-corruption measures and advanced predictive models to mitigate financial risks in the region.…”
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Holistic Framework for Blockchain-Based Halal Compliance in Supply Chains Enabled by Artificial Intelligence by Funlade Sunmola, George Baryannis, Albert Tan, Kenneth Co, Emmanuel Papadakis

“…AI can automate halal compliance checks, identify potential irregularities in sourcing and composition, and facilitate risk management. The blockchain offers an ideal platform for tracking product provenance throughout the halal supply chain. …”
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A Review Article: Mitigation Strategies for Seismic Damage in Structures by Raihana M. Ejam, Hatem Hadi Obeid

“…Additionally, the review discusses the potential of machine learning techniques in predicting seismicity rates and improving risk management in seismic-prone areas. By combining traditional and advanced methods, this review sets the stage for further developments in seismic damage mitigation strategies. …”
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Evaluation of Salt Influence on Sugar Consumption by Suspension Cells Based on Spectroscopic Analysis by Ken-ichiro Suehara, Takaharu Kameoka, Atsushi Hashimoto

“…Both the simple and detailed analyses based on the spectroscopic method presented in this study might be useful for risk management of food.…”
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Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset. by Gadir Alomair

“…Although this study is based on a single dataset, the findings provide valuable perspectives on enhancing prediction accuracy and improving risk management practices in the insurance industry.…”
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Climate-smart agricultural practices and its implication in Ethiopia: a systematic review by Getasew Daru Tariku, Sinkie Alemu Kebede

“…Purpose – The purpose of this paper is to assess the adoption of climate-smart agriculture (CSA) and its implication on improving the farming household food security status, their resilience and livelihood risk management of farmers. Design/methodology/approach – This systematic review has followed procedures to accomplish the review, including literature searches, screening studies, data extraction, synthesis and presentation of the data. …”
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Financial Management Practices and Performance of Saving and Credit Scheme Organisation in Uganda. A Case Study of Rukiga SACCO in Rukiga District-Uganda. by Nyirazihawe, Aphia Jane

“…Therefore, the study recommends that additional work should be put into task segregation, independent auditing, and risk management to realize loan portfolio expansion, profitability growth, and market share growth as essential components of Rukiga SACCO's performance in Rukiga District.…”
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Dynamic Evaluation of Regional Agricultural Drought Vulnerability Based on Triangular Fuzzy Number and Connection Number Coupling by GUO Fang, CUI Yi, CHEN Menglu

“…Vulnerability assessment of agricultural drought system is of great significance to agricultural drought risk management and risk control practice.In order to quantitatively evaluate the vulnerability of agricultural drought in Bengbu City,an evaluation model of agricultural drought vulnerability is established based on the coupling method of triangular fuzzy number and connection number.Firstly,connection number of single index is calculated by set pair analysis method,and the dynamic difference coefficient of different indexes is determined by the analysis and value method,that is,different-grade standard thresholds correspond to different difference coefficients.Then,connection value of each single index is calculated by combining the opposition coefficient and is weighted to obtain connection value of each subsystem and comprehensive connection value of sample.Finally,vulnerability grade value of regional agricultural drought system is determined by functional relationship between sample comprehensive connection value and evaluation grade value.Moreover,the model based on triangular fuzzy number and connection number coupling is applied to evaluate agricultural drought vulnerability in Bengbu City.The results show that:The results of comprehensive evaluation method based on triangular fuzzy number and connection number coupling were consistent with the comprehensive evaluation method based on grey relational analysis and connection number coupling,cloud similarity evaluation method and fuzzy comprehensive evaluation method.Drought vulnerability in 2001—2003 was strong,close to 3.5,and that in 2004—2010 was moderate,around 3.On the whole,the vulnerability is improved,which show that the ability of Bengbu's agricultural system to resist drought vulnerability is gradually strengthening,and level of agricultural development is constantly improving.Therefore,it can provide a strong basis for the government to scientifically prevent and control drought risks and scientific researchers to conduct quantitative research.…”
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Creating a model of threats to Ukraine’s national critical infrastructure as a basis for ensuring its security and resilience by D. S. Melnyk

“…The perspective measures that will contribute to both the stable functioning of critical infrastructure facilities and ensure their proper protection are outlined: enshrining in Ukrainian legislation the need to develop a model of threats to critical infrastructure, adopting regulations on standardisation of risk management processes for critical infrastructure in order to prevent threats, and more.…”
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Biosocial environmental faces of climate variability in health care: A systematic review by Fatemeh Zarei, Ehsan Arzroomchilar

“…Recommendations include bolstering the capacity of these systems, enhancing efficient and iterative risk management across all tiers, fostering collaboration across various sectors, formulating action plans, and making short- and long-term investments to enhance adaptability. …”
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A novel risk assessment method for advanced and environmentally friendly construction technologies integrating RBM and I-OPA by Yunbin Sun, Zaohong Zhou, Qiang Li, Hongjun He

“…Conclusively, the efficacy of the proposed method is ascertained through a data reliability analysis, leading to the proposal of tailored risk management strategies. The validity of this novel method is demonstrated through the risk assessment of the project utilizing an advanced and environmentally friendly Prefabricated auxiliary Steel platform Drilling Technology(PSDT). …”
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Patient perspective: Is intensive screening of women at high risk of breast cancer evidence-based medicine or ? by Kathleen A Fairman

“…My search for studies of available risk-management options revealed that the most commonly recommended approach for women with a ⩾20% lifetime breast cancer risk, intensive screening including annual mammography and/or magnetic resonance imaging beginning at age 25–40 years, was supported only by cancer-detection statistics, with almost no evidence on patient-centered outcomes—mortality, physical and psychological morbidity, or quality of life—compared with standard screening or a surgical alternative, bilateral risk-reducing mastectomy. …”
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DIVERSIFICATION OF OIL AND GAS COMPANIES’ ACTIVITIES IN THE CONDITION OF OIL PRICES REDUCTION AND ECONOMIC SANCTIONS by A. V. Sheveleva, L. B. Akieva

“…Sharp reduction of oil prices and decrease in demand for energy resources in the world markets, first of all in the European countries, input of financial or technological sanctions from the USA and Europe against Russia in 2014 has caused necessity of search a new more effective methods of price risks management of the oil and gas company. The methods of price risk management include the creation of commodity reserves, the establishment of a reserve fund, long-term contracts, subsidies from the state and the diversification of activities. …”
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Evaluation of critical factors for typhoon-triggered landslide and subsequent debris flow in the Philippines using physically based models by Christian Gaviola John, Chieh Chao Kuo, Bencure Jannet

“…These findings offer a valuable benchmark for developing a framework for slope disaster analysis and risk management in the region.…”
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