The Concept of a Method for Predicting the Cascade Effect Under Conditions of Hybrid Warfare by WRÓBLEWSKI Wojciech, WIŚNIEWSKI Michał

“…Using complementary tools such as process analysis, risk assessment, Petri nets, and Bayesian network in the form of the Critical Infrastructure Security Situational Management methodology, the authors provide a comprehensive solution for modeling how to protect the life and health of the civilian population. …”
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Source attribution of human Campylobacter infection: a multi-country model in the European Union by Cecilie Thystrup, Maja Lykke Brinch, Clementine Henri, Lapo Mughini-Gras, Lapo Mughini-Gras, Eelco Franz, Kinga Wieczorek, Montserrat Gutierrez, Deirdre M. Prendergast, Geraldine Duffy, Catherine M. Burgess, Declan Bolton, Julio Alvarez, Julio Alvarez, Vicente Lopez-Chavarrias, Thomas Rosendal, Lurdes Clemente, Ana Amaro, Aldert L. Zomer, Katrine Grimstrup Joensen, Eva Møller Nielsen, Gaia Scavia, Magdalena Skarżyńska, Miguel Pinto, Mónica Oleastro, Wonhee Cha, Amandine Thépault, Katell Rivoal, Martine Denis, Marianne Chemaly, Tine Hald

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Association between the hemoglobin A1c/High-density lipoprotein cholesterol ratio and stroke incidence: a prospective nationwide cohort study in China by Chaojuan Huang, Hongtao You, Yuyang Zhang, Ligang Fan, Xingliang Feng, Naiyuan Shao

“…The predictive value of the HbA1c/HDL-C in stroke risk assessment have been significantly improved compared to the traditional HDL-C and HbA1c. …”
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Temperature-dependent toxicity and mechanisms of florfenicol on the embryonic development of marine medaka (Oryzias melastigma) by Xingying Guo, Xu Gong, Jinhui Wang, Tan-Duc Nguyen, Syed Shabi Ul Hassan Kazmi, Jiezhang Mo, Feng Hua, Wenhua Liu, Zhen Wang

“…Furthermore, the key findings of this study reveal the complex interactions between florfenicol and temperature and emphasize the need to consider temperature when identifying toxicity and mechanisms, as well as the ecological risk assessment of florfenicol in marine environments.…”
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Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes by Mohammad Ghouse Syed, Emanuele Trucco, Muthu R. K. Mookiah, Chim C. Lang, Rory J. McCrimmon, Colin N. A. Palmer, Ewan R. Pearson, Alex S. F. Doney, Ify R. Mordi

“…AI retinal assessment might allow a one-stop CVD risk assessment at routine retinal screening. Graphical abstract…”
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Haemoglobin for Fall Risk Screening in Gynaecological and Obstetric Wards: Retrospective Survey and Delphi Validation by Bijun Mao, Yan Chen, Chunsheng Wang, Yihan Ma, Huifeng Gu, Ya Shen, Luping Liu, Peihong Zhou, Huiping Jiang

“…The recommended stratified scheme for anaemia in fall risk assessment is as follows: ≥ 110; 90–109; 60–89; and < 60 g/L. …”
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Screening for Ischemic Heart Disease with Cardiac CT: Current Recommendations by Matthew J. Budoff

“…It has been incorporated into both the European and American guidelines for risk assessment. CAC is the most robust test today to reclassify individuals based on traditional risk factor assessment and provides the opportunity to better strategize the treatments for these subjects (converting patients from intermediate to high or low risk). …”
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Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks by Asep Id Hadiana, Rifaz Muhammad Sukma, Eddie Krishna Putra

“…These metrics, alongside a correlation coefficient of 0.8980, demonstrate the model's accuracy and consistency in predicting earthquake magnitudes, establishing its potential for enhancing seismic risk assessment and informing early warning systems.…”
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Innovative methods of evaluating the counterparty during the organization internal control by E. A. Kirova, T. V. Perminova

“…To achieve this goal of the article, the following tasks were solved: indicators of economic stability and information support used when choosing a counterparty were proposed; An innovative risk matrix and risk assessment criteria have been developed that allow the organization to objectively assess the counterparty and conclude contracts on the principles of economic validity, reliability and integrity, significantly reducing economic risks. …”
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Dopamine Agonists and Pathologic Behaviors by Brendan J. Kelley, Andrew P. Duker, Peter Chiu

“…Expression of the D3 receptor is particularly rich within the limbic system, where it plays an important role in modulating the physiologic and emotional experience of novelty, reward, and risk assessment. Converging neuroanatomical, physiological, and behavioral science data suggest the high D3 affinity of these medications as the basis for these behavioral changes. …”
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Costs and benefits of business information security by N. S. Kozyr

“…At the same time, in order to meet the new conditions of technological development of society, it is necessary to revise the concept of information protection of business entities and to fix in the policy of information security of activities the approaches to risk assessment based on assets value. The study contains a description of the cost/ benefit approach to the constituent components of ensuring information security of business process. …”
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Applying the layers of protection analysis (LOPA) method to high containment level biological facilities by Andrian Harsono, Ryan Waters, Jason Tearle, Graeme Harkess

“…Abstract The Layers of Protection Analysis (LOPA) method is a semi-quantitative risk assessment tool that is used to determine the ability of safeguards to protect against unplanned hazardous scenarios. …”
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Linezolid and serotonin syndrome by Haytham A. Wali

“…Clinical evidence indicates that although the incidence of linezolid-induced serotonin syndrome is low, the risk justifies careful monitoring and risk assessment. This review emphasizes enhanced pharmacovigilance and standardized reporting criteria to better capture and analyze data on linezolid-induced serotonin syndrome. …”
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Cardiac computed tomography for cardiac masses: a necessity or a luxury? by Imane Joudar, Siham Nasri, Imane Kamaoui, Imane Skiker

“…This article highlights the importance of CT in surgical preparation, risk assessment and ongoing monitoring, and highlights its effect on improving patients’ outcomes. …”
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Carcinogenic and Genotoxicity of some PAHs in commonly consumed smoked fish (<i>Parachanna obscura</i> and <i>Ethmalosa fimbriata) </i> by N.O. Erhunmwunse, S.A. Ekaye

“…The result obtained showed that, Benzo(a)pyrene had an occurrence of 83.33% in all samples analysed. Risk assessment conducted using benzo(a)pyrene carcinogenic and mutagenic toxicity equivalent factor (TEQ & MEQ) showed slight to high risk (7.44 x10-5 -1.95 x10-3 ) and exceeded the USEPA guideline (1.0 x 10-5 ) for potential Cancer. …”
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Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences by Hongfei Jia, Junzhe Li

“…We propose a comprehensive risk assessment model and develop a bilevel programming model to reflect the hierarchical relationship. …”
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Treatment of Homozygous Type II Antithrombin Heparin-Binding Site Deficiency in Pregnancy by Hilde Fiskvik, Anne F. Jacobsen, Nina Iversen, Carola E. Henriksson, Eva-Marie Jacobsen

“…Dosing and monitoring of anticoagulants, alone or together with hpATC, must be based on individual risk assessment. The severity of clinical manifestations varies with the type of AT deficiency. …”
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Beyond polarity: How ESG sentiment influences idiosyncratic volatility in the Turkish stock market by Alev Atak

“…These findings underscore the complex interplay between ESG sentiment and investor behaviour, offering valuable insights for enhancing risk assessment and guiding investment strategies.…”
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Brugada syndrome update by Tingting Xu, Shaokun Wang, Jiawen Wang, Jihong Xing

“…This review elaborates on the current insights into BrS, focusing on recent diagnostic techniques, risk assessment strategies, and therapeutic advancements. …”
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Robustness of Big Language Modeling in Finance by Yao Mohan

“…In the financial field, people use financial big prediction models to solve problems such as stock prediction, risk assessment, etc., but the big language models can be incorrect due to model hallucination and adversarial attacks. …”
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