Academic literature on the topic 'Risk environments'

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Journal articles on the topic "Risk environments"

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Pritchard, Tricia. "Appropriate risk-taking environments." Early Years Educator 8, no. 11 (February 2007): 6. http://dx.doi.org/10.12968/eyed.2007.8.11.22868.

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Diez Roux, A. V. "Residential Environments and Cardiovascular Risk." Journal of Urban Health: Bulletin of the New York Academy of Medicine 80, no. 4 (December 1, 2003): 569–89. http://dx.doi.org/10.1093/jurban/jtg065.

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Dion, Michel. "Risk Environments and Corporate Governance." Journal of Transnational Management 12, no. 3 (October 30, 2007): 53–69. http://dx.doi.org/10.1300/j482v12n03_05.

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Cooper, Hannah L. F., Kimberly Jacob Arriola, Regine Haardörfer, and Colleen M. McBride. "Population-Attributable Risk Percentages for Racialized Risk Environments." American Journal of Public Health 106, no. 10 (October 2016): 1789–92. http://dx.doi.org/10.2105/ajph.2016.303385.

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Schürmann, Oliver, Renato Frey, and Timothy J. Pleskac. "Mapping risk perceptions in dynamic risk‐taking environments." Journal of Behavioral Decision Making 32, no. 1 (August 14, 2018): 94–105. http://dx.doi.org/10.1002/bdm.2098.

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Rousseau, Denise M., and Carolyn Libuser. "Contingent Workers in High Risk Environments." California Management Review 39, no. 2 (January 1997): 103–23. http://dx.doi.org/10.2307/41165889.

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Bell, Timothy B., W. Robert Knechel, and Jeff L. Payne. "Audit Risk Attributes In Computerized Environments." Review of Business Information Systems (RBIS) 3, no. 2 (April 1, 1999): 27–40. http://dx.doi.org/10.19030/rbis.v3i2.5425.

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Wichmann, Matthias C., Karin Johst, Kirk A. Moloney, Christian Wissel, and Florian Jeltsch. "Extinction risk in periodically fluctuating environments." Ecological Modelling 167, no. 3 (September 2003): 221–31. http://dx.doi.org/10.1016/s0304-3800(03)00136-4.

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Gould, Dinah. "Infection control in low-risk environments." Nursing Standard 8, no. 29 (April 13, 1994): 30–32. http://dx.doi.org/10.7748/ns.8.29.30.s41.

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Gould, Dinah. "Infection control in high-risk environments." Nursing Standard 8, no. 30 (April 20, 1994): 57–61. http://dx.doi.org/10.7748/ns.8.30.57.s37.

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Dissertations / Theses on the topic "Risk environments"

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Hoyes, Thomas W. "Risk homeostasis theory in simulated environments." Thesis, Aston University, 1992. http://publications.aston.ac.uk/10858/.

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This thesis has two aims. First, it sets out to develop an alternative methodology for the investigation of risk homeostasis theory (RHT). It is argued that the current methodologies of the pseudo-experimental design and post hoc analysis of road-traffic accident data both have their limitations, and that the newer 'game' type simulation exercises are also, but for different reasons, incapable of testing RHT predictions. The alternative methodology described here is based on the simulation of physical risk with intrinsic reward rather than a 'points pay-off'. The second aim of the thesis is to examine a number of predictions made by RHT through the use of this alternative methodology. Since the pseudo-experimental design and post hoc analysis of road-traffic data are both ill-suited to the investigation of that part of RHT which deals with the role of utility in determining risk-taking behaviour in response to a change in environmental risk, and since the concept of utility is critical to RHT, the methodology reported here is applied to the specific investigation of utility. Attention too is given to the question of which behavioural pathways carry the homeostasis effect, and whether those pathways are 'local' to the nature of the change in environmental risk. It is suggested that investigating RHT through this new methodology holds a number of advantages and should be developed further in an attempt to answer the RHT question. It is suggested too that the methodology allows RHT to be seen in a psychological context, rather than the statistical context that has so far characterised its investigation. The experimental findings reported here are in support of hypotheses derived from RHT and would therefore seem to argue for the importance of the individual and collective target level of risk, as opposed to the level of environmental risk, as the major determinant of accident loss.
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Priya, Patil G. "Community contextual and environmental determinants of HIV risk in Rakai District, Uganda community risk-environments, individual seroconversion risk, and individual perception of risk /." Available to US Hopkins community, 2003. http://wwwlib.umi.com/dissertations/dlnow/3080742.

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Zhang, Su. "Quantitative risk assessment under multi-context environments." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18634.

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Doctor of Philosophy
Department of Computing and Information Sciences
Xinming Ou
If you cannot measure it, you cannot improve it. Quantifying security with metrics is important not only because we want to have a scoring system to track our efforts in hardening cyber environments, but also because current labor resources cannot administrate the exponentially enlarged network without a feasible risk prioritization methodology. Unlike height, weight or temperature, risk from vulnerabilities is sophisticated to assess and the assessment is heavily context-dependent. Existing vulnerability assessment methodologies (e.g. CVSS scoring system, etc) mainly focus on the evaluation over intrinsic risk of individual vulnerabilities without taking their contexts into consideration. Vulnerability assessment over network usually output one aggregated metric indicating the security level of each host. However, none of these work captures the severity change of each individual vulnerabilities under different contexts. I have captured a number of such contexts for vulnerability assessment. For example, the correlation of vulnerabilities belonging to the same application should be considered while aggregating their risk scores. At system level, a vulnerability detected on a highly depended library code should be assigned with a higher risk metric than a vulnerability on a rarely used client side application, even when the two have the same intrinsic risk. Similarly at cloud environment, vulnerabilities with higher prevalences deserve more attention. Besides, zero-day vulnerabilities are largely utilized by attackers therefore should not be ignored while assessing the risks. Historical vulnerability information at application level can be used to predict underground risks. To assess vulnerability with a higher accuracy, feasibility, scalability and efficiency, I developed a systematic vulnerability assessment approach under each of these contexts. ​
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Myer, Matthew R., and Jason R. Lojka. "On risk: risk and decision making in military combat and training environments." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/27877.

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All decisions involve risk; yet the subject is poorly understood and difficult to define. Understanding risk is vital for military leaders that prepare their forces to operate in risky environments against adversaries that seek to impose risk upon their enemies. Furthermore, the decisions of military leaders affect those subordinates under their command and ultimately the will of the nation that has sent them abroad. It is paramount, therefore, that we utilize a decision process to reveal how emotions can affect our judgment. Frequently, cultural forces in the military can result in ill-informed and emotionally biased decisions that are an irresponsible execution of duty. We address this problem by defining the objective components of risk using mathematical concepts then characterizing the nature of risk in different military environments using those concepts. Our approach uses economic principles, game theory, and decision theory to illustrate how calculations of risk should influence decision-making. Objectively defining risk will aid in revealing the subjective components of risk, where the mathematical principles explain both how decisions are effectively made and how to make decisions effectively. Risk in training and risk in combat pose two very different problems; but to be fully understood both environments must be viewed together. This detailed analysis and research aims to create a more informed decision making process and a more sophisticated decision maker.
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Wall, Tamara. "A content analysis : health and environmental risk factors of children in methamphetamine living environments /." Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1559858731&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Pennington, Neil. "Electrical safety in hazardous environments : ignition studies." Thesis, University of Liverpool, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292082.

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Krokhmal, Pavlo A. "Risk management techniques for decision making in highly uncertain environments." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0001008.

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Hoy, Jennifer Susan. "Employee behaviour in social media environments impacting corporate reputational risk." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/30604.

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An employee who has a low level of awareness of how behaviours impact corporate reputation, and access to large online communities, could potentially expose the business to reputational risk. The vast number of individuals on these networks, combined with the low level of skill needed to publish on these sites, has resulted in comments and behaviours being amplified to a much greater audience. Employees and their behaviours represent the reality of the organisation to external stakeholders, and so offer a potential risk for reputational damage.This research used an online survey with Likert scales to test the hypotheses. The survey was sent out to a convenience sample, and then a snowballing technique was used to reach the employees within the identified companies.Managers and employees are equally aware of their impact on corporate reputation; however, they have a difference in opinion on what are acceptable topics to place in the public domain. A breach in the employee-employer psychological contract does not result in an increase in employee‟s willingness to post sensitive information in the public domain and employees are undecided as to how they feel about being prohibited from posting certain information in the public domain as an infringement of their person rights.
Dissertation (MBA)--University of Pretoria, 2012.
Gordon Institute of Business Science (GIBS)
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Sayers, William Keith Paul. "Artificial intelligence techniques for flood risk management in urban environments." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/21030.

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Flooding is an important concern for the UK, as evidenced by the many extreme flooding events in the last decade. Improved flood risk intervention strategies are therefore highly desirable. The application of hydroinformatics tools, and optimisation algorithms in particular, which could provide guidance towards improved intervention strategies, is hindered by the necessity of performing flood modelling in the process of evaluating solutions. Flood modelling is a computationally demanding task; reducing its impact upon the optimisation process would therefore be a significant achievement and of considerable benefit to this research area. In this thesis sophisticated multi-objective optimisation algorithms have been utilised in combination with cutting-edge flood-risk assessment models to identify least-cost and most-benefit flood risk interventions that can be made on a drainage network. Software analysis and optimisation has improved the flood risk model performance. Additionally, artificial neural networks used as feature detectors have been employed as part of a novel development of an optimisation algorithm. This has alleviated the computational time-demands caused by using extremely complex models. The results from testing indicate that the developed algorithm with feature detectors outperforms (given limited computational resources available) a base multi-objective genetic algorithm. It does so in terms of both dominated hypervolume and a modified convergence metric, at each iteration. This indicates both that a shorter run of the algorithm produces a more optimal result than a similar length run of a chosen base algorithm, and also that a full run to complete convergence takes fewer iterations (and therefore less time) with the new algorithm.
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Määttä, Timo. "Virtual environments in machinery safety analysis /." Espoo [Finland] : VTT Technical Research Centre of Finland, 2003. http://www.vtt.fi/inf/pdf/publications/2003/P516.pdf.

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Diss. -- Tampereen teknillinen yliopisto. Thesis (doctoral)--Tampere University of Technology, 2004.
Includes bibliographical references (p. 153-170). Myös verkkojulkaisuna. Also available on the World Wide Web.
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Books on the topic "Risk environments"

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Ellis, Derek. Environments at Risk. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4.

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Bier, Vicki. Risk in Extreme Environments. Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315557540.

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Barsky, Steven M. Diving in high-risk environments. 4th ed. Ventura, CA: Hammerhead Press, 1999.

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van Bavel, Bas, and Erik Thoen, eds. Rural societies and environments at risk. Turnhout: Brepols Publishers, 2013. http://dx.doi.org/10.1484/m.rurhe-eb.5.106192.

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The rhetoric of risk: Technical documentation in hazardous environments. Mahwah, N.J: L. Erlbaum Associates, 2003.

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Sauer, Beverly A. The rhetoric of risk: Technical documentation in hazardous environments. Mahwah, N.J: L. Erlbaum Associates, 2002.

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Ellis, Derek. Environments at risk: Case histories of impact assessment. Berlin: Springer-Verlag, 1989.

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Ellis, Derek V. Environments at risk: Case histories of impact assessment. Berlin: Springer-Verlag, 1989.

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Working in high risk environments: Developing sustained resilience. Springfield, Ill: Charles C. Thomas, 2011.

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Pascal, Béguin, and Wackers G. L, eds. Risky work environments: Reappraising human work within fallible systems. Burlington, VT: Ashgate, 2009.

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Book chapters on the topic "Risk environments"

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Ellis, Derek. "Working Concepts." In Environments at Risk, 2–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_1.

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Ellis, Derek. "Permitting and Regulating — Quartz Hill Molybdenum Mine (Alaska), Yabulu Nickel Refinery (Australia)." In Environments at Risk, 242–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_10.

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Ellis, Derek. "Fact-Finding and Social Input — a Public Hearing (Mining, Canada) and a Multinational AGM (Rio Tinto Zinc, England)." In Environments at Risk, 270–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_11.

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Ellis, Derek. "Issues." In Environments at Risk, 296–310. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_12.

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Ellis, Derek. "Construction — Hell’s Gate (Canada)." In Environments at Risk, 17–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_2.

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Ellis, Derek. "Chemicals — Minamata (Japan)." In Environments at Risk, 38–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_3.

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Ellis, Derek. "Mining — Island Copper (Canada)." In Environments at Risk, 70–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_4.

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Ellis, Derek. "Organic Chemicals, Pulp and Paper — Annat Point (Scotland)." In Environments at Risk, 109–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_5.

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Ellis, Derek. "Sewage — Victoria (Canada)." In Environments at Risk, 126–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_6.

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Ellis, Derek. "Spills — AMOCO CADIZ (France), Bhopal (India), Chernobyl (U.S.S.R.)." In Environments at Risk, 155–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74772-4_7.

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Conference papers on the topic "Risk environments"

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Russo, F., and A. Vitetta. "Risk in anthropic environments: methodologies for risk evaluation and exposition reduction." In Environmental Health Risk 2005. Southampton, UK: WIT Press, 2005. http://dx.doi.org/10.2495/ehr050041.

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Zhao, Xiao-yan, Jing-gui Gao, and Ming-qing Zhao. "Risk model in fuzzy environments." In 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569126.

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Cumo, F., F. Gugliermetti, and G. Guidi. "Evaluation of physiological comfort index for workers wearing protective clothing in nuclear or other harsh environments." In ENVIRONMENTAL HEALTH RISK 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/ehr070111.

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Yu, B. "Research on the environmental factor of ammunition under two typical storage environments." In International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering, edited by T. Song, Z. Jiao, and P. Yan. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/qr2mse140751.

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Sabath, Frank, and Heyno Garbe. "Risk potential of radiated HPEM environments." In 2009 IEEE International Symposium on Electromagnetic Compatibility - EMC 2009. IEEE, 2009. http://dx.doi.org/10.1109/isemc.2009.5284566.

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Tao Huang and Jinghua Diao. "Risk model in fuzzy random environments." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658344.

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Harty, James, and Richard Laing. "Trust and Risk in Collaborative Environments." In 2011 15th International Conference Information Visualisation (IV). IEEE, 2011. http://dx.doi.org/10.1109/iv.2011.106.

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Poedjono, Benny, Goke Akinniranye, Greg Conran, Kevin Spidle, and Tamara Araceli San Antonio. "Well-Collision Risk in Congested Environments." In SPE Asia Pacific Oil & Gas Conference and Exhibition. Society of Petroleum Engineers, 2006. http://dx.doi.org/10.2118/101719-ms.

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Pratelli, A. "Risk perception in emergency planning environments." In SAFE 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/safe130221.

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Sarshar, Sizarta, Grete Rindahl, Ann Britt Skjerve, Alf Ove Braseth, and Hans Olav Randem. "Future collaboration environments for risk informed decisions." In 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2010. http://dx.doi.org/10.1109/icsmc.2010.5642310.

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Reports on the topic "Risk environments"

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Alberts, Christopher J., and Audrey J. Dorofee. Mission Assurance Analysis Protocol (MAAP): Assessing Risk in Complex Environments. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada441906.

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Cura, Jerome J., Wendy Heiger-Bernays, Todd S. Bridges, and David W. Moore. Ecological and Human Health Risk Assessment Guidance for Aquatic Environments. Fort Belvoir, VA: Defense Technical Information Center, December 1999. http://dx.doi.org/10.21236/ada374564.

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Booth, Alison L., Lina Marcela Cardona-Sosa, and Patrick Nolen. Gender differences in risk aversion : Do single-sex environments affect their development? Bogotá, Colombia: Banco de la República, October 2013. http://dx.doi.org/10.32468/be.786.

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Britton, Kris, Jack Walsh, Wayne Jansen, Thomas Kaygiannis, and Jandria Alexander. US Government Application Level Firewall Protection Profile for Low Risk Environments. The Common Criteria. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada386017.

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O'Donnell, Kevin, and Anne Greene. A Risk Management Solution Designed to Facilitate Risk-Based Qualification, Validation, and Change Control Activities within GMP and Pharmaceutical Regulatory Compliance Environments in the EU—Part I. Institute of Validation Technology, July 2006. http://dx.doi.org/10.1080/21506590.wp7132006agko-rmsdfrbq.

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A risk management solution is described that is designed to facilitate risk-based qualification, validation, and change control activities within GMP and regulatory compliance environments in the EU. This solution is based upon a set of pre-defined, fundamental principles and design criteria, which were considered important. It offers a documented and ready-to-use ten-step process for determining and managing, on a risk basis, the scope and extent of qualification and validation, and the likely impact of changes.
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O'Donnell, Kevin, and Anne Greene. A Risk Management Solution Designed to Facilitate Risk-Based Qualification, Validation, and Change Control Activities within GMP and Pharmaceutical Regulatory Compliance Environments in the EU—Part II. Institute of Validation Technology, July 2006. http://dx.doi.org/10.1080/21506590.wp7142006agko-rmsdii.

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highlight the need for patient-focused and value-adding qualification, validation, and change control programmes for manufacturing and regulating medicinal products in the EU, which are cost-effective and in-line with current regulatory requirements and guidance. To this end, a formal risk management solution was presented that seeks to demonstrate, in a practical way, how Regulators and Industry in the EU may achieve these goals. This solution represents a formal and rigorous approach to risk management, offering a scientific and practical means for determining and managing, on a risk basis, the scope and extent of qualification and validation, and the likely impact of changes. Based on a ten-step, systematic process, this approach offers a ready-to-use and documented risk management methodology for these activities. This tool is not intended for use in all situations, or to address all risk areas or concerns encountered in GMP and Regulatory Compliance environments. Rather, its use should be commensurate with the complexity and/or criticality of the issue to be addressed, and in many instances, and in-line with ICH Q9 principles, a more informal approach to risk management may be more useful, and indeed proportionate.
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Larsen, M. E. MELTER: A model of the thermal response of cargos transported in the Safe-Secure Trailer subject to fire environments for risk assessment applications. Office of Scientific and Technical Information (OSTI), August 1994. http://dx.doi.org/10.2172/10181961.

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Travis, C. (Environmental risk assessment). Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6905622.

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Rahm-Crites, L. Risk communication in environmental assessment. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/382442.

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Rycroft, Taylor, Kerry Hamilton, Charles Haas, and Igor Linkov. A quantitative risk assessment method for synthetic biology products in the environment. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41331.

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The need to prevent possible adverse environmental health impacts resulting from synthetic biology (SynBio) products is widely acknowledged in both the SynBio risk literature and the global regulatory community. However, discussions of potential risks of SynBio products have been largely speculative, and the attempts to characterize the risks of SynBio products have been non-uniform and entirely qualitative. As the discipline continues to accelerate, a standardized risk assessment framework will become critical for ensuring that the environmental risks of these products are characterized in a consistent, reliable, and objective manner that incorporates all SynBio-unique risk factors. Current established risk assessment frameworks fall short of the features required of this standard framework. To address this, we propose the Quantitative Risk Assessment Method for Synthetic Biology Products (QRASynBio) – an incremental build on established risk assessment methodologies that supplements traditional paradigms with the SynBio risk factors that are currently absent and necessitates quantitative analysis for more transparent and objective risk characterizations. The proposed framework facilitates defensible quantification of the environmental risks of SynBio products in both foreseeable and hypothetical use scenarios. Additionally, we show how the proposed method can promote increased experimental investigation into the likelihood of hazard and exposure parameters and highlight the parameters where uncertainty should be reduced, leading to more targeted risk research and more precise characterizations of risk.
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