Academic literature on the topic 'Identification of risk factors'

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Journal articles on the topic "Identification of risk factors"

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Bhuyan, K. C. "Identification of Risk Factors for Diabetes Disability among Bangladeshi Adults." Diabetes and Islet Biology 5, no. 1 (2022): 01–07. http://dx.doi.org/10.31579/2641-8975/027.

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The paper was to throw some light on the risk factors for diabetes disability among Bangladeshi adults of 18 years and above residing in both urban and rural areas. In investigating the adults, it was decided to cover 50.1% males and 49.9% females to maintain the national level of sex ratio in the sample. The respondents were interviewed when they were visiting some diagnostic centres in urban and semi-urban areas. The percentage of diabetic respondents included in the sample was 67% and 25.5% of them were suffering for 10 years and above, 6.4% were disable against 4.8% total disable responden
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Upadhyaya, SuneetKumar, Archana Sharma, and ChintanM Raval. "Postpartum psychosis: Risk factors identification." North American Journal of Medical Sciences 6, no. 6 (2014): 35. http://dx.doi.org/10.4103/1947-2714.134373.

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Tuhrim, Stanley. "Stroke Risk Factors." CNS Spectrums 5, no. 3 (2000): 70–74. http://dx.doi.org/10.1017/s1092852900012980.

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AbstractDespite advances in the treatment of acute cerebral infarction, the most effective method of reducing stroke morbidity and mortality is the identification and modification of stroke risk factors. Modifiable stroke risk factors include hypertension, atrial fibrillation, hypercholesterolemia, cigarette smoking, hyperhomocystinemia, and carotid stenosis. Improved identification of individuals at increased stroke risk due to these factors can reduce individual risk and the cost to society of the consequences of stroke.
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Ahuja, Dr Ravindra, Dr Ruchi Thakur, and Dr Rajat Ahuja. "Identification of Maternal, Environmental and Hygienic Practices as Risk Factors for Diarrhoea." International Journal of Scientific Research 3, no. 7 (2012): 390–92. http://dx.doi.org/10.15373/22778179/july2014/120.

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Khan, M. Owais, Rehman Akhtar, and Ihtisham Ul Haq. "Risk Factors Identification from Contractors Perspective." Pakistan Journal of Engineering and Technology 5, no. 2 (2022): 221–25. http://dx.doi.org/10.51846/vol5iss2pp221-225.

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Numerous studies on the distribution of building dangers have been conducted during the last few decades. Even though the current study gives significant insights into the matter, construction industry members are nonetheless concerned about the risks of contracting. A study product was developed to help contracting parties identify, quantify, and assign each construction risk to address this issue. To supplement the model worksheets, flowcharts were created to determine which party should carry which risk, legal research was conducted, and risk allocation guidelines were produced to generate
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Hignett, Sue. "Manual handling risks in midwifery: identification of risk factors." British Journal of Midwifery 4, no. 11 (1996): 590–96. http://dx.doi.org/10.12968/bjom.1996.4.11.590.

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Razali, Muhammad Najib, Rohaya Abdul Jalil, Kamalahasan Achu, and Hishamuddin Mohd Ali. "Identification of Risk Factors in Business Valuation." Journal of Risk and Financial Management 15, no. 7 (2022): 282. http://dx.doi.org/10.3390/jrfm15070282.

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It is widely accepted that risk and uncertainty are integral parts of the property valuation process. Uncertainty in property valuation is derived from the characteristics of property itself. The issue pertaining to risk and uncertainty in property valuations is currently one of the key concerns in global valuation practice to date in addressing the decision of risk and uncertainty in valuation, especially for business purposes or in the current term known as business valuation. The judgment and experience still depend on the expertise of the individual valuers alone. The valuation methods use
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Allam, Mohamed Farouk, Amparo Serrano del Castillo, Carmen Díaz-Molina, and Rafael Fernández-Crehuet Navajas. "Invasive Pulmonary Aspergillosis: Identification of Risk Factors." Scandinavian Journal of Infectious Diseases 34, no. 11 (2002): 819–22. http://dx.doi.org/10.1080/0036554021000026954.

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Fontana, M., R. Jackson, G. Eckert, et al. "Identification of Caries Risk Factors in Toddlers." Journal of Dental Research 90, no. 2 (2010): 209–14. http://dx.doi.org/10.1177/0022034510385458.

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Yang, Zhenhua, Ying Kong, Frank Wilson, et al. "Identification of Risk Factors for Extrapulmonary Tuberculosis." Clinical Infectious Diseases 38, no. 2 (2004): 199–205. http://dx.doi.org/10.1086/380644.

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Dissertations / Theses on the topic "Identification of risk factors"

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Cummins, Robert W. "Identification of commercial items risk factors." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FCummins.pdf.

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Thesis (M.S. in Software Engineering)--Naval Postgraduate School, March 2003.<br>Thesis advisor(s): Norman Schneidewind, Richard Riehle. Includes bibliographical references (p. 162-168). Also available online.
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Giedraitytė, Lina. "Identification of risk factors in cold work /." Luleå, 2002. http://epubl.luth.se/1402-1757/2002/22.

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Giedraitytė, Lina. "Identification and validation of risk factors in cold work /." Luleå, 2005. http://epubl.luth.se/1402-1544/2005/24.

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Zeng, Yanni. "The identification of risk factors for major depressive disorder." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28702.

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For complex traits, population genetic studies ask: to what extent do genetic variation and environmental variation influence, determine and predict phenotypic variation? More specifically, researchers ask two questions. First, how much of the phenotypic variation is genetic in origin? Second, if the genetic component of a trait has been ascertained, then by what mechanisms do the causal variants contribute to the genetic variation that impacts on the phenotype? Previous studies have indicated a polygenic structure for many complex traits, which means that the genetic variation in those traits
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Dickson, Laurie Marie. "Youth gambling problems : the identification of risk and protective factors." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85150.

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The present study examined the relationship between several risk and protective variables associated with problem gambling, substance abuse, and other multiple risk-taking activities by adolescents. With the goal of identifying protective factors that prevent youth from escalating from social gambling to serious problem gambling, this research examined the relationship between family cohesion, school connectedness, coping and adaptive behaviours, mentor relationships, achievement motivation, involvement in conventional organizations, and the development of three health-compromising outc
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Bhambra, Upinder Kaur. "Heterocyclic amines and human colon cancer : identification of risk factors." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406359.

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Bassement, Jennifer. "Identification of fall-risk factors degradation using quality of balance measurements." Thesis, Troyes, 2014. http://www.theses.fr/2014TROY0035/document.

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Les chutes touchent un tiers des personnes âgées de 65 ans et plus et conduit à une perte de mobilité. La détection des risques facteurs de chutes est essentielle pour une intervention précoce.Six facteurs intrinsèques de chute : vision, système vestibulaire, amplitude articulaire, force musculaire, proprioception articulaire et plantaire ont été évalué par des tests cliniques avant et après une dégradation temporaire. L’équilibre a été évalué sur une plateforme de force pour le calcul de 198 paramètres.Les paramètres ont été utilisés comme variables pour la construction de modèle de réseaux d
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Kopplin, Laura J. "The Identification of Genetic Risk Factors for Age-Related Macular Degeneration." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1251752708.

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Hawkins, Richard D. "Injuries in professional football : identification of aetiological factors." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/7520.

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UK health and safety legislation aims to protect employees from injury at work; professional footballers as employees are therefore covered by this legislation. A risk assessment approach to health and safety issues, as required by the Management of Health and Safety at Work Regulations 1992, has been undertaken to establish the epidemiological and aetiological factors related to injuries in professional football and to identify management and training procedures to reduce the incidence and severity of injuries. Issues of injury frequency and causation during the period 1994 to 1997 were addre
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Mokone, Gaonyadiwe George. "Risk factors for Achilles tendon injuries : an emphasis on the identification of specific genetic factors." Doctoral thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/3270.

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Includes bibliographical references.<br>This main purpose of this thesis was therefore to investigate whether any specific genes on the tip of the long arm of chromosome 9 were associated with Achilles tendon injuries, using a case-control study design. The specific objectives were: (i) to identify all genes located in the 9q32-q34.3 locus in close proximity to the ABO gene, that could be involved in tendon injuries (Chapter 2) and (ii) to investigate the possible association of the identified candidate genes (COL5A1 and TNC with both Achilles tendon rupture and chronic Achilles tendinopathy (
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Books on the topic "Identification of risk factors"

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R, Johnston Janet, ed. Early identification of risk factors for parental abduction. U.S. Dept. of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention, 2001.

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1947-, Vainio H., and International Agency for Research on Cancer., eds. Mechanisms of carcinogenesis in risk identification. International Agency for Research on Cancer, 1992.

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1947-, Vainio H., and International Agency for Research on Cancer., eds. Mechanisms of carcinogenesis in risk identification. International Agency for Research on Cancer, 1992.

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Thow, Anne Marie. Diabetes in culturally and linguistically diverse Australians: Identification of communities at high risk. Australian Institute of Health and Welfare, 2005.

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Wu, James T. Early risk assessment of cancer and atherosclerosis: Identification of common risk markers, and preventive nutrition. AACC Press, 2004.

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Pasqualina, Santaguida, United States. Agency for Healthcare Research and Quality., and McMaster University. Evidence-based Practice Center., eds. Diagnosis, prognosis, and treatment of impaired glucose tolerance and impaired fasting glucose. Agency for Healthcare Research and Quality, 2005.

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Arbetslivsinstitutet and Tekniska högskolan i. Luleå, eds. On the identification and prevention of ergonomic risk factors: With special regard to reported occupational injuries of the musculo-skeletal system. Arbetslivsinstitutet, 1997.

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American Institute of Chemical Engineeers. Center for Chemical Process Safety., Great Britain. Health and Safety Executive., and European Federation of Chemical Engineering., eds. International Conference on Hazard Identification and Risk Analysis, Human Factors, and Human Reliability In Process Safety: January 15-17, 1992, Marriott Hotel (airport) Orlando, Florida. The Center, 1992.

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P, De Bono D., ed. Cardiovascular risk factors. Gower Medical Pub., 1993.

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Maciejko, James J. Atherosclerosis Risk Factors. AACC Press, 2004.

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Book chapters on the topic "Identification of risk factors"

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Hong, Keun-Sik. "Identification of Vascular Risk Factors." In Stroke Revisited: Diagnosis and Treatment of Ischemic Stroke. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1424-6_23.

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Ardehali, Ali, Ishwari Casikar, and George Condous. "Identification of Risk Factors of Ectopic Pregnancy." In Ectopic Pregnancy. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11140-7_1.

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Di Renzo, Gian Carlo, Elena Pacella, Laura Di Fabrizio, and Irene Giardina. "Preterm Birth: Risk Factors, Identification and Management." In Management and Therapy of Late Pregnancy Complications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48732-8_6.

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Wu, James T. "Identification of Risk Factors for Early Neoplasm." In Cancer Diagnostics. Humana Press, 2004. http://dx.doi.org/10.1007/978-1-59259-791-8_5.

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Sameroff, Arnold J. "Environmental Factors in the Early Screening of Children at Risk." In Early Identification of Children at Risk. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4899-0536-9_2.

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Jiang, Guo-ping, and Ming-chi Lin. "Identification of Critical Risk Factors in Software Project Risk Management." In The 19th International Conference on Industrial Engineering and Engineering Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38433-2_112.

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Schiffner, Julia, Erhard Godehardt, Stefanie Hillebrand, Alexander Albert, Artur Lichtenberg, and Claus Weihs. "Identification of Risk Factors in Coronary Bypass Surgery." In Algorithms from and for Nature and Life. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00035-0_29.

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Dovjak, Mateja, and Andreja Kukec. "Identification of Health Risk Factors and Their Parameters." In Creating Healthy and Sustainable Buildings. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19412-3_3.

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Lau, Timothy, Elizabeth Kozyra, and Catherine Cheng. "Delirium: Risk Factors, Contributors, Identification, Work-Up, and Treatment." In Inpatient Geriatric Psychiatry. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10401-6_12.

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Yu, Chun-hua, Li-ping Tian, and Zeng-chang Zhao. "Identification of Risk Factors for Casualty in Building Fires." In The 19th International Conference on Industrial Engineering and Engineering Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37270-4_54.

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Conference papers on the topic "Identification of risk factors"

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Zhang, Yifan, Xiong Wu, Guodong Guo, Dong Liu, Bo Yuan, and Shengjin Huang. "Scenario Generation of Renewable Energy power Considering Identification of Meteorological Risk Factors." In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2024. https://doi.org/10.1109/ei264398.2024.10991594.

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Reyya, Shriyan, and Yao Cheng. "ROADFIRST: An Enhanced Systemic Approach to Safety for Comprehensive Identification and Evaluation of Risk Factors." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919936.

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Rey, Anastasiya, and Alexander Shiroky. "Identification of a Set of Permissible Risk Mitigation Measures in a Complex System under Conditions of Mutual Influence of Risk Factors." In 2024 8th International Conference on Information, Control, and Communication Technologies (ICCT). IEEE, 2024. https://doi.org/10.1109/icct62929.2024.10875008.

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Dyana, M. V. Ezhil, Dhanalakshmi M, and Hemalatha J. "Pregnancy Risk Factor Identification From Ultrasound Images using Deep Learning." In 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2025. https://doi.org/10.1109/icoei65986.2025.11013752.

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Palihakkara, A. D., and B. A. K. S. Perera. "IDENTIFICATION OF SIGNIFICANT RISK FACTORS OF GUARANTEED MAXIMUM PRICE (GMP) CONTRACTS." In The 9th World Construction Symposium 2021. The Ceylon Institute of Builders - Sri Lanka, 2021. http://dx.doi.org/10.31705/wcs.2021.30.

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The construction industry is a risk-prone industry where projects are implemented in a dynamic environment with frequent exposure to various uncertainties. A construction contract is a document that allocates the risks associated with a construction project among the project stakeholders. Guaranteed Maximum Price (GMP) contracts have become popular as a project delivery method because they provide the client with a high degree of cost certainty through a fixed price cap that the contractor cannot exceed. However, most of the GMP projects are risky. Thus, the significant risk factors of GMP pro
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Alban, Lis, G. Pacheco, and J. V. Petersen. "Risk-based Surveillance of Antimicrobial Residues – Identification of Potential Risk Factors." In 10th International Conference on the Epidemiology and Control of Biological, Chemical and Physical Hazards in Pigs and Pork. Iowa State University, Digital Press, 2013. http://dx.doi.org/10.31274/safepork-180809-907.

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Paul, Topon K., Ken Ueno, Koichiro Iwata, Toshio Hayashi, and Nobuyoshi Honda. "Risk prediction and risk factors identification from imbalanced data with RPMBGA+." In the 2008 GECCO conference companion. ACM Press, 2008. http://dx.doi.org/10.1145/1388969.1389046.

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Dicks, Evan P., and Keith R. Molenaar. "Identification of Critical Transportation Risk Factors Using DEMATEL." In Construction Research Congress 2024. American Society of Civil Engineers, 2024. http://dx.doi.org/10.1061/9780784485286.008.

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Tang, Tianpei, Senlai Zhu, and Yang Cao. "Safety Risk Factors Identification and Safety Risk Classification Assessment for Rural Roadsides." In 19th COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482292.336.

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Wang, Xin, Liling Yu, and Lingyun Miao. "Research on Identification of Risk Factors in Civil Airports." In 2019 5th International Conference on Transportation Information and Safety (ICTIS). IEEE, 2019. http://dx.doi.org/10.1109/ictis.2019.8883675.

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Reports on the topic "Identification of risk factors"

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Shea, M. T., and Norman J. Hebert. Identification of Risk Factors for Chronic Posttraumatic Stress Disorder (PTSD). Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada484221.

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Shea, M. T. Identification of Risk Factors for Chronic Posttraumatic Stress Disorder (PTSD). Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada524923.

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Shea, M. T., and Norman J. Hebert. Identification of Risk Factors for Chronic Posttraumatic Stress Disorder (PTSD). Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada615368.

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Yang, Kelu, Lin Chen, Yingying Kang, et al. Identification of risk factors of developing pressure injuries among immobile patient, and a risk prediction model establishment: Protocol for a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2020. http://dx.doi.org/10.37766/inplasy2020.10.0097.

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Tian, Moqi, and Baike Zhang. Identification of risk factors for the progression of age-related macular degeneration: A systematic review and meta-analysis of cohort studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. https://doi.org/10.37766/inplasy2024.12.0036.

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Reyero y Aranda, María Rosa. Identification of Institutional Factors in Bank Operations: Flexibility v. Early Detection: Case Studies in the Citizen Security and Transparency Sub-Sectors. Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0006789.

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The study seeks to survey the prevalence of institutional factors posing risks or vulnerabilities to selected Bank operations and the time at, and mechanisms through which these are addressed. As a first study, it focuses on two sub-sectors of the Reform and Modernization of the State sector: Citizen Security and Transparency and Anti-Corruption. The study unfolds in three segments: 1) to identify institutional factors and their impact on sub-sector operations through document review, interviews and other Bank information sources; 2) pointing to existing Bank approaches of addressing instituti
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Daudelin, Francois, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Adeniyi Francis Fagbamigbe, and Hamid Mehmood. Mapping WASH-related disease risk: A review of risk concepts and methods. United Nations University Institute for Water, Environment and Health, 2021. http://dx.doi.org/10.53328/uxuo4751.

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The report provides a review of how risk is conceived of, modelled, and mapped in studies of infectious water, sanitation, and hygiene (WASH) related diseases. It focuses on spatial epidemiology of cholera, malaria and dengue to offer recommendations for the field of WASH-related disease risk mapping. The report notes a lack of consensus on the definition of disease risk in the literature, which limits the interpretability of the resulting analyses and could affect the quality of the design and direction of public health interventions. In addition, existing risk frameworks that consider diseas
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Shpigel, Nahum Y., Ynte Schukken, and Ilan Rosenshine. Identification of genes involved in virulence of Escherichia coli mastitis by signature tagged mutagenesis. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7699853.bard.

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Mastitis, an inflammatory response of the mammary tissue to invading pathogenic bacteria, is the largest health problem in the dairy industry and is responsible for multibillion dollar economic losses. E. coli are a leading cause of acute mastitis in dairy animals worldwide and certainly in Israel and North America. The species E. coli comprises a highly heterogeneous group of pathogens, some of which are commensal residents of the gut, infecting the mammary gland after contamination of the teat skin from the environment. As compared to other gut microflora, mammary pathogenic E. coli (MPEC) m
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Jauny, Ray, and John Parsons. Delirium Assessment and Management: A qualitative study on aged-care nurses’ experiences. Unitec ePress, 2017. http://dx.doi.org/10.34074/ocds.72017.

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Aged residential care (ARC) residents with morbid health conditions frequently experience delirium. This condition is associated with diminished quality of life, preventable morbidity and untimely death. It is challenging and costly to manage delirium because of the complex interplay of physical and psychiatric symptoms associated with this condition in both primary and secondary services. With awareness of risk factors and knowledge about delirium, ARC nurses can play a vital role in early identification, assessment and treatment, but most importantly in preventing delirium in aged-care resid
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Almås, Ingvild, Orazio Attanasio, Jyotsna Jalan, Francisco Oteiza, and Marcella Vigneri. Using data differently and using different data. Centre for Excellence and Development Impact and Learning (CEDIL), 2018. http://dx.doi.org/10.51744/cip8.

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The lack of adequate measures to capture relevant factors, and the prevalence of measurement error in existing ones, often constitute the main impediment to robust policy evaluation. Random assignment of a given treatment, when feasible, may allow for the identification of causal effects, given that the necessary measurements are available. Measurement challenges include: (a) adequately measuring outcomes of interest; (b) measuring factors that relate to the mechanisms of estimated impacts; and (c) conducting a robust evaluation in areas where the RCT methodology is not feasible. In this paper
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