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Articles de revues sur le sujet « Understanding risk »

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Auteur : Grafiati
Publié le 14 mars 2023

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1

Grossman, Wendy M. « Understanding risk ». Philosophers' Magazine, no 71 (2015) : 29–30. http://dx.doi.org/10.5840/tpm20157198.

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(Dan) Erwin, D. G. « Understanding Risk ». Information Systems Security 10, no 6 (janvier 2002) : 14–17. http://dx.doi.org/10.1201/1086/43318.10.6.20020123/32818.4.

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Daya, Salim. « Understanding Risk ». Journal SOGC 19, no 12 (novembre 1997) : 1275–82. http://dx.doi.org/10.1016/s0849-5831(16)30685-1.

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Steiner, Markus J., Sandra Dalebout, Sean Condon, Rosalie Dominik et James Trussell. « Understanding Risk ». Obstetrics & ; Gynecology 102, no 4 (octobre 2003) : 709–17. http://dx.doi.org/10.1097/00006250-200310000-00012.

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Derbyshire, David R. « Understanding risk ». BMJ 329, no 7474 (4 novembre 2004) : 1086. http://dx.doi.org/10.1136/bmj.329.7474.1086.

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Bradshaw, Aisha. « Understanding risk ». Nature Human Behaviour 2, no 12 (15 novembre 2018) : 888. http://dx.doi.org/10.1038/s41562-018-0486-1.

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Skinner, Robin. « Understanding the Risk ». Fabrications 19, no 1 (juin 2009) : 122–39. http://dx.doi.org/10.1080/10331867.2009.10539648.

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McCloy, Rachel, Ruth M. J. Byrne et Philip N. Johnson-Laird. « Understanding cumulative risk ». Quarterly Journal of Experimental Psychology 63, no 3 (mars 2010) : 499–515. http://dx.doi.org/10.1080/17470210903024784.

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Kidron, Eithan. « Understanding Administrative Sanctioning as Corrective Justice ». University of Michigan Journal of Law Reform, no 51.2 (2018) : 313. http://dx.doi.org/10.36646/mjlr.51.2.understanding.

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When should a regulator prefer criminal sanctions over administrative sanctions? What procedural protections should apply if a process is labeled civil but the sanctions are, in fact, criminal in type? And can the state justifiably conduct parallel proceedings for punitive sanctions against the same person or entity for the same conduct? Throughout the years, judges and scholars alike have tried to understand and classify administrative sanctioning. Common to all of these conceptions is their failure to provide a complete normative framework for this unique body of law, which in turn makes it difficult to identify its practical limits and to resolve the practical difficulties mentioned above. This Article proposes a novel, normative paradigm for understanding administrative sanctioning. This Article suggests that an administrative violation is a manifestation of an ex-ante excessive risk to public right. Based on the rationale of corrective justice, administrative sanctions correct the excessive risk in the form of a preventative sanction. Thus administrative sanctioning restores equality in the correlative relations between the violator and the public right. The Article applies this suggested approach to address some of the practical difficulties administrative sanctioning raises.
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Alzahrani, Mohammed Mastour. « Understanding and Improving Current Risk Management Practices in Hospital Settings ». International Journal Of Pharmaceutical And Bio-Medical Science 02, no 10 (7 novembre 2022) : 449–55. http://dx.doi.org/10.47191/ijpbms/v2-i10-13.

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A large number of patients in the healthcare industry have adverse events. Risk management has been implemented in hospitals to ensure patient safety. However, there is still a lot of room for improvement in current risk management practices. As a result, the purpose of this research is to better understand risk management practices in hospital settings and to make recommendations to improve them. While a questionnaire survey was created to understand current risk management applications, risk management literature was reviewed in order to comprehend and improve these risk management applications. The findings show that over 70% of practitioners and managers regard risk management as defining threats to patients, while only a minority agree on the ISO definition of risk. Furthermore, nearly half of practitioners and managers agree that risk assessment is more important than risk mitigation. To manage risks, participants mostly used Failure Mode and Effect Analysis (FMEA), brainstorming, and risk matrix techniques. Based on the results of the questionnaire and the literature review, risk management practices could be advanced by emphasizing safety culture, staff involvement, safety training, risk reporting systems, and risk management tools.
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Williams, Caroline. « UNDERSTANDING COLLECTIONS AT RISK ». Archives : The Journal of the British Records Association 53, no 136 (avril 2018) : 45–69. http://dx.doi.org/10.3828/archives.2018.4.

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Taliaferro, Ryan. « Understanding risk-based portfolios ». Journal of Investment Strategies 1, no 2 (mars 2012) : 119–31. http://dx.doi.org/10.21314/jois.2012.004.

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Thornton, H. « Patients' understanding of risk ». BMJ 327, no 7417 (27 septembre 2003) : 693–94. http://dx.doi.org/10.1136/bmj.327.7417.693.

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14

Elbarbary, Mahmoud. « Understanding and expressing “Risk” ». Journal of the Saudi Heart Association 22, no 3 (juillet 2010) : 159–64. http://dx.doi.org/10.1016/j.jsha.2010.04.002.

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15

Fish, Ian. « Understanding and Debating Risk ». ITNOW 61, no 1 (2019) : 30. http://dx.doi.org/10.1093/itnow/bwz012.

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Campbell, John Y. « Understanding Risk and Return ». Journal of Political Economy 104, no 2 (avril 1996) : 298–345. http://dx.doi.org/10.1086/262026.

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17

Tillett, Jackie. « Understanding and Explaining Risk ». Journal of Perinatal & ; Neonatal Nursing 24, no 3 (2010) : 196–98. http://dx.doi.org/10.1097/jpn.0b013e3181e7c6f9.

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18

Sellon, Edward, et Pippa Oakeshott. « Patient’s understanding of risk ». Family Practice 20, no 4 (août 2003) : 494. http://dx.doi.org/10.1093/fampra/cmg432.

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19

Larosa, John C. « Understanding risk in hypercholesterolemia ». Clinical Cardiology 26, S1 (janvier 2003) : 3–6. http://dx.doi.org/10.1002/clc.4960261303.

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20

Crowson, Cynthia S., Terry M. Therneau, Eric L. Matteson et Sherine E. Gabriel. « Primer : demystifying risk—understanding and communicating medical risks ». Nature Clinical Practice Rheumatology 3, no 3 (mars 2007) : 181–87. http://dx.doi.org/10.1038/ncprheum0397.

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21

Vanderhart, Jennifer. « In the Chamber of Risks : Understanding Risk Controversies ». Risk Analysis 24, no 2 (avril 2004) : 511–12. http://dx.doi.org/10.1111/j.0272-4332.2004.453_3.x.

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22

Chambers, Donald R., Michael A. Kelly et Qin Lu. « Understanding the Estimation Risks of Value at Risk ». Journal of Alternative Investments 16, no 3 (31 décembre 2013) : 64–85. http://dx.doi.org/10.3905/jai.2013.16.3.064.

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23

Murnane, Richard, Alanna Simpson et Brenden Jongman. « Understanding risk : what makes a risk assessment successful ? » International Journal of Disaster Resilience in the Built Environment 7, no 2 (11 avril 2016) : 186–200. http://dx.doi.org/10.1108/ijdrbe-06-2015-0033.

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Purpose Understanding risk is more than just modeling risk; it requires an understanding of the development and social processes that underlie and drive the generation of disaster risk. Here, in addition to a review of more technical factors, this paper aims to discuss a variety of institutional, social and political considerations that must be managed for the results of a risk assessment to influence actions that lead to reductions in natural hazard risk. Design/methodology/approach The technical approaches and the institutional, social and political considerations covered in this paper are based on a wide range of experiences gleaned from case studies that touch on a variety of activities related to assessing the risks and impacts of natural hazards, and from the activities of the World Bank’s Global Facility for Disaster Reduction and Recovery. Findings Risk information provides a critical foundation for managing disaster risk across a wide range of sectors. Appropriate communication of robust risk information at the right time can raise awareness and trigger action to reduce risk. Communicating this information in a way that triggers action requires an understanding of the developments and social processes that underlie and drive the generation of risk, as well as of the wider Disaster Risk Management (DRM) decision-making context. Practical implications Prior to the initiation of a quantitative risk assessment one should clearly define why an assessment is needed and wanted, the information gaps that currently prevent effective DRM actions and the end-users of the risk information. This requires developing trust through communication among the scientists and engineers performing the risk assessment and the decision-makers, authorities, communities and other intended users of the information developed through the assessment. Originality/value This paper summarizes the technical components of a risk assessment as well as the institutional, social and political considerations that should be considered to maximize the probability of successfully reducing the risk defined by a risk assessment.
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24

Bernero, Robert M. « The Government of Risk : Understanding Risk Regulation Regimes ». Journal of Radiological Protection 22, no 1 (1 mars 2002) : 122–23. http://dx.doi.org/10.1088/0952-4746/22/1/702.

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25

Trenter, Neil. « Understanding and containing geotechnical risk ». Proceedings of the Institution of Civil Engineers - Civil Engineering 156, no 1 (février 2003) : 42–48. http://dx.doi.org/10.1680/cien.2003.156.1.42.

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26

Fries, J. F. « Assessing and Understanding Patient Risk ». Scandinavian Journal of Rheumatology 21, sup92 (janvier 1992) : 21–24. http://dx.doi.org/10.3109/03009749209101385.

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27

Coetzee, Gerhard A. « Understanding Non-Mendelian Genetic Risk ». Current Genomics 20, no 5 (3 décembre 2019) : 322–24. http://dx.doi.org/10.2174/1389202920666191018085511.

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This opinion paper highlights strategies for a better understanding of non-Mendelian genetic risk that was revealed by genome-wide association studies (GWAS) of complex diseases. The genetic risk resides predominantly in non-coding regulatory DNA, such as in enhancers. The identification of mechanisms, the causal variants (mainly SNPs), and their target genes are, however, not always apparent but are likely involved in a network of risk determinants; the identification presents a bottle-neck in the full understanding of the genetics of complex phenotypes. Here, we propose strategies to identify functional SNPs and link risk enhancers with their target genes. The strategies are 1) identifying finemapped SNPs that break/form response elements within chromatin bio-features in relevant cell types 2) considering the nearest gene on linear DNA, 3) analyzing eQTLs, 4) mapping differential DNA methylation regions and relating them to gene expression, 5) employing genomic editing with CRISPR/cas9 and 6) identifying topological associated chromatin domains using chromatin conformation capture.
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28

Hertel, Joshua T. « Understanding Risk Through Board Games ». Mathematics Enthusiast 12, no 1-3 (1 juin 2015) : 38–54. http://dx.doi.org/10.54870/1551-3440.1333.

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29

Weiss, R., et J. Bourgeois. « Understanding Sediments--Reducing Tsunami Risk ». Science 336, no 6085 (31 mai 2012) : 1117–18. http://dx.doi.org/10.1126/science.1221452.

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Slovic, Paul. « Understanding Perceived Risk : 1978–2015 ». Environment : Science and Policy for Sustainable Development 58, no 1 (31 décembre 2015) : 25–29. http://dx.doi.org/10.1080/00139157.2016.1112169.

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31

Elwell, Robert. « Understanding and Managing Risk Attitude ». Ergonomics 52, no 2 (février 2009) : 271–72. http://dx.doi.org/10.1080/00140130802295572.

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Zortea, Tiago C., Seonaid Cleare, Ambrose J. Melson, Karen Wetherall et Rory C. O’Connor. « Understanding and managing suicide risk ». British Medical Bulletin 134, no 1 (21 mai 2020) : 73–84. http://dx.doi.org/10.1093/bmb/ldaa013.

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Abstract Background Suicidal behaviours and non-suicidal self-harm (NSSH) are global public health concerns that affect millions of lives. Sources of data This review is a narrative synthesis of systematic reviews, meta-analyses of randomized control trials (RCTs) and landmark studies published in scientific journals. Areas of agreement Restricting access to lethal means reduces the likelihood of future suicide deaths. Areas of controversy Our ability to predict future suicidal behaviour is no better than chance. No individual risk prediction instrument offers sufficient sensitivity and specificity to inform clinically useful decision-making. Growing points Different types of psychosocial interventions may be effective in preventing future suicide attempts; such interventions include clinical assessment, tailored crisis response and safety plans and follow-up contact. Areas timely for developing research Whilst some psychosocial interventions can be effective in reducing suicide risk, little is known about the mechanisms of recovery from suicidal thoughts and behaviours.
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Winston, Kenneth. « Understanding and Managing Model Risk ». Quantitative Finance 13, no 8 (août 2013) : 1167–69. http://dx.doi.org/10.1080/14697688.2013.812792.

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Kakhandiki, Abhijit, et Haresh Shah. « Understanding time variation of risk ». Applied Geography 18, no 1 (janvier 1998) : 47–53. http://dx.doi.org/10.1016/s0143-6228(97)00045-3.

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Hess, Robert. « Understanding risk assessment in toxicology ». Toxicology Letters 88 (octobre 1996) : 5. http://dx.doi.org/10.1016/s0378-4274(96)80016-6.

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Gotlib, Ian H., Jutta Joormann et Lara C. Foland-Ross. « Understanding Familial Risk for Depression ». Perspectives on Psychological Science 9, no 1 (janvier 2014) : 94–108. http://dx.doi.org/10.1177/1745691613513469.

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Willis, Mary. « Understanding the at Risk Student ». International Journal of Learning : Annual Review 15, no 11 (2008) : 33–40. http://dx.doi.org/10.18848/1447-9494/cgp/v15i11/46023.

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Guo, Zhanglin, Jing Tian et Huiqiang Sui. « On understanding the risk concept ». International Journal of Nuclear Governance, Economy and Ecology 2, no 2 (2008) : 166. http://dx.doi.org/10.1504/ijngee.2008.018334.

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Noble, Lorraine. « Understanding risk perception in travellers ». Practice Nursing 27, no 8 (2 août 2016) : 384–89. http://dx.doi.org/10.12968/pnur.2016.27.8.384.

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40

Taylor, George. « Understanding risk and regulatory reform ». Policy Studies 39, no 5 (31 mai 2018) : 465–78. http://dx.doi.org/10.1080/01442872.2018.1479522.

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Jones, Tim, et Andy Lee. « Understanding risk within GP commissioning ». British Journal of Healthcare Management 17, no 5 (mai 2011) : 184–89. http://dx.doi.org/10.12968/bjhc.2011.17.5.184.

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Ames, W. « Understanding spyware : risk and response ». IT Professional 6, no 5 (septembre 2004) : 25–29. http://dx.doi.org/10.1109/mitp.2004.71.

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43

Dupps, William J. « Ectasia risk : Barriers to understanding ». Journal of Cataract & ; Refractive Surgery 38, no 5 (mai 2012) : 735–36. http://dx.doi.org/10.1016/j.jcrs.2012.03.018.

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Trickey, Geoff. « Understanding and measuring risk type ». Assessment and Development Matters 4, no 1 (2012) : 2–5. http://dx.doi.org/10.53841/bpsadm.2012.4.1.2.

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Understanding and managing risk is a complex field. This article presents findings from a recent study, using the Risk-Type CompassTM, that may further our understanding of possible role and gender differences relating to risk.
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Ilișanu, Georgiana, et Virginia Andrei. « Discourse Analysis of Health Risk Perceptions. Understanding Public Debates on Childhood Vaccination ». Sociologie Romaneasca 17, no 1 (17 juin 2019) : 92–113. http://dx.doi.org/10.33788/sr.17.5.

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Bojnec, Stefan, et Imre Fertő. « ASSESSING AND UNDERSTANDING THE DRIVERS OF FARM INCOME RISK : EVIDENCE FROM SLOVENIA ». New Medit XVII, no 3 (15 septembre 2018) : 23–35. http://dx.doi.org/10.30682/nm1803c.

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Alswaidan, Mohammed Waleed, Arief Daynes et Paraskevas Pasgas. « Understanding and evaluation of risk in Sukuk structures ». Journal of Islamic Accounting and Business Research 8, no 4 (4 septembre 2017) : 389–405. http://dx.doi.org/10.1108/jiabr-05-2015-0021.

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Purpose This paper aims to reviews Sukuk risk classification schemes based on extending and adapting the risk classification schemes of conventional finance. It is then argued that risk classification schemes based on Sukuk structure provide significant insights into Sukuk risk not obtainable from conventional schemes. This is because Sukuk structure risk classification schemes link Sukuk risk more directly to the fundamental causal factors creating those risks. These links are less evident in conventional risk classification schemes. It is hypothesised that Sukuk structure risk factors will prove to be highly significant in multifactor expected return regressions. Design/methodology/approach The paper argues that, given the paucity of the empirical data currently available to researchers in Islamic finance, greater care needs to be taken in hypothesis development than is necessary for conventional finance. The limited data available should be used for testing hypotheses and not “wasted” in hypothesis formation. Through a meta-analysis of the existing literature on Sukuk risk, it is hypothesised that Sukuk structure risks will be highly significant in explaining Sukuk returns and returns volatilities in empirical tests. Findings The main Sukuk structures, debt based, equity based, assets based, agency based and hybrid structures, arise directly from the requirement of Sukuk to conform to the Shariah and to the fundamental ethical principles of Islamic finance and business. Further, Sukuk risk profiles are directly related to Sukuk structures. Thus, Sukuk structure risks are essentially Shariah risks. The paper presents a Sukuk risk classification matrix based on an evaluation of Sukuk structure risks. Research limitations/implications The findings on the relation of Sukuk risks to Sukuk structures require corroboration by rigorous empirical tests. Social implications The paper contributes to work on the creation of evidence-based risk management techniques in Islamic finance and to the expansion of ethical financial management. Originality/value The paper is one of the early detailed academic studies on the evaluation of risks arising from Sukuk structures.
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Covi, Michelle Peppina, et Donna Jean Kain. « Sea-Level Rise Risk Communication : Public Understanding, Risk Perception, and Attitudes about Information ». Environmental Communication 10, no 5 (12 août 2015) : 612–33. http://dx.doi.org/10.1080/17524032.2015.1056541.

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Haas, Charles N. « The Role of Risk Analysis in Understanding Ebola ». Risk Analysis 35, no 2 (février 2015) : 183–85. http://dx.doi.org/10.1111/risa.12361.

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Iliffe, S. « Communicating risk : Patients often have complex understanding of risk ». BMJ 327, no 7428 (13 décembre 2003) : 1403—b—1403. http://dx.doi.org/10.1136/bmj.327.7428.1403-b.

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