• Title/Summary/Keyword: risk assessment model

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Predictive Factors of Postoperative Pain and Postoperative Anxiety in Children Undergoing Elective Circumcision: A Prospective Cohort Study

  • Zavras, Nick;Tsamoudaki, Stella;Ntomi, Vasileia;Yiannopoulos, Ioannis;Christianakis, Efstratios;Pikoulis, Emmanuel
    • The Korean Journal of Pain
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    • v.28 no.4
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    • pp.244-253
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    • 2015
  • Background: Although circumcision for phimosis in children is a minor surgical procedure, it is followed by pain and carries the risk of increased postoperative anxiety. This study examined predictive factors of postoperative pain and anxiety in children undergoing circumcision. Methods: We conducted a prospective cohort study of children scheduled for elective circumcision. Circumcision was performed applying one of the following surgical techniques: sutureless prepuceplasty (SP), preputial plasty technique (PP), and conventional circumcision (CC). Demographics and base-line clinical characteristics were collected, and assessment of the level of preoperative anxiety was performed. Subsequently, a statistical model was designed in order to examine predictive factors of postoperative pain and postoperative anxiety. Assessment of postoperative pain was performed using the Faces Pain Scale (FPS). The Post Hospitalization Behavior Questionnaire study was used to assess negative behavioral manifestations. Results: A total of 301 children with a mean age of $7.56{\pm}2.61$ years were included in the study. Predictive factors of postoperative pain measured with the FPS included a) the type of surgical technique, b) the absence of siblings, and c) the presence of postoperative complications. Predictive factors of postoperative anxiety included a) the type of surgical technique, b) the level of education of mothers, c) the presence of preoperative anxiety, and d) a history of previous surgery. Conclusions: Although our study was not without its limitations, it expands current knowledge by adding new predictive factors of postoperative pain and postoperative anxiety. Clearly, further randomized controlled studies are needed to confirm its results.

Association between Cold Temperature and Mortality of the Elderly in Seoul, Korea, 1992-2007 (서울지역 겨울철 기온과 노인의 사망률간의 관련성 연구(1992년~2007년))

  • Lee, Joung Won;Jeon, Hyung Jin;Cho, Yong Sung;Lee, Cheol Min;Kim, Ki Youn;Kim, Yoon Shin
    • Journal of Environmental Impact Assessment
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    • v.20 no.5
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    • pp.747-755
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    • 2011
  • This study was investigated the relationship between the temperature and the mortality of aged (${\geq}65$ yr) during the winter seasons from 1992 to 2007 in Seoul, Korea by utilizing climate data and death records. The study also estimated the future risks by employing the projections of the population in Seoul, Korea and climate change scenario of Korea from 2011 to 2030. The limitation of this study was the impossibility in the prediction of daily mortality counts. Therefore, daily death numbers could be predicted based on the future population projection for Korea and the death records of 2005. The result indicated that risks increased by 0.27%, 0.52%, 0.32% and 0.41% in association with the $1^{\circ}C$ decrease in daily minimum temperature from the mortality counts of total, respiratory, cardiovascular, and cardiorespiratory in the past date while 0.31%, 0.42%, 0.59% and 0.66% in the future. Based on the results obtained from this study, it is concluded that the risk in the future will be higher than the past date although there is an uncertainty in estimating death counts in the future.

Effect of Hydroelectric Power Plant Discharge on the Turbidity Distribution in Dae-Cheong Dam Reservoir (발전방류구 위치변화에 따른 저수지내 탁수변화 -대청댐을 대상으로-)

  • Seo, Se-Deok;Lee, Jae-Yil;Ha, Sung-Ryong
    • Journal of Environmental Impact Assessment
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    • v.20 no.2
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    • pp.227-234
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    • 2011
  • In the study, CE-QUAL-W2 was used and its examination and correction were conducted targeting 2001 and 2003 when the condition of rainfall was contradicted. Using the proved model in 2003, a scenario was implemented with management of locations for dewatering outlets and actual data for dam management in 1987 when inflow and outflow level were almost same. In case of the scenario which the location of dewatering outlets was 5m higher than usual location, exclusion efficiency for turbid water inflow at the beginning of precipitation was good. In case of the scenario which the location of dewatering outlets was 10m lower than usual location, exclusion efficiency for excluding turbid water remained in a reservoir after the end of precipitation. However, the scenario applying dam management data in 1987, exclusion efficiency was relatively low. In the scenario, power-generating water release spot at EL.57m for first four days after the beginning of precipitation, EL.52m for 5th to 8th and EL.42m from 9th days. An analysis of the scenario reveals that both excessive days exceeded 30 NTU and average turbidity levels were decreased comparing before and after the alteration on outlets. The average turbidity levels were decreased by minimum of 55% to maximum of 70% and 30NTU exceeding days were decreased by 45 days at maximum. Also, since it could exclude most of turbid water in a reservoir before the destatifcation, the risk for turbid water evenly distributed in a reservoir along with turn-over could be decreased as well.

Priority Setting for Occupational Cancer Prevention

  • Peters, Cheryl E.;Palmer, Alison L.;Telfer, Joanne;Ge, Calvin B.;Hall, Amy L.;Davies, Hugh W.;Pahwa, Manisha;Demers, Paul A.
    • Safety and Health at Work
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    • v.9 no.2
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    • pp.133-139
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    • 2018
  • Background: Selecting priority occupational carcinogens is important for cancer prevention efforts; however, standardized selection methods are not available. The objective of this paper was to describe the methods used by CAREX Canada in 2015 to establish priorities for preventing occupational cancer, with a focus on exposure estimation and descriptive profiles. Methods: Four criteria were used in an expert assessment process to guide carcinogen prioritization: (1) the likelihood of presence and/or use in Canadian workplaces; (2) toxicity of the substance (strength of evidence for carcinogenicity and other health effects); (3) feasibility of producing a carcinogen profile and/or an occupational estimate; and (4) special interest from the public/scientific community. Carcinogens were ranked as high, medium or low priority based on specific conditions regarding these criteria, and stakeholder input was incorporated. Priorities were set separately for the creation of new carcinogen profiles and for new occupational exposure estimates. Results: Overall, 246 agents were reviewed for inclusion in the occupational priorities list. For carcinogen profile generation, 103 were prioritized (11 high, 33 medium, and 59 low priority), and 36 carcinogens were deemed priorities for occupational exposure estimation (13 high, 17 medium, and 6 low priority). Conclusion: Prioritizing and ranking occupational carcinogens is required for a variety of purposes, including research, resource allocation at different jurisdictional levels, calculations of occupational cancer burden, and planning of CAREX-type projects in different countries. This paper outlines how this process was achieved in Canada; this may provide a model for other countries and jurisdictions as a part of occupational cancer prevention efforts.

A Study on How to Build a Disaster Recovery System that can Minimize Recovery Time Objective(RTO) and Recovery Point Objective(RPO) to Ensure Business Continuity (비즈니스 연속성 보장을 위한 복구 시간 목표(RTO) 및 복구 지점 목표(RPO)를 최소화할 수 있는 재해복구시스템 구축 방안 연구)

  • Kang, Hyun-Sun
    • Journal of Software Assessment and Valuation
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    • v.17 no.2
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    • pp.91-99
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    • 2021
  • In the current business environment where dependence on IT has increased rapidly, the risk from disasters or cyber-attacks is also increasing. Business continuity, the ability to continue to provide service in the event of a business disruption caused by a disaster, is essential. In other words, you need to have a plan in place to keep your core business functions uninterrupted with rapid recovery within a predetermined Recovery Time Objective (RTO) and Recovery Point Objective (RPO) time frame. In this paper, we propose a disaster recovery system construction method that can minimize RTO and RPO to ensure business continuity. The system configuration adopts Tier 7 disaster recovery model, synchronous storage replication, hot disaster recovery site, and operation management automation solution. This ensures continuity of core business with virtually no data loss and minimal RTO and RPO.

Pattern Recognition of Ship Navigational Data Using Support Vector Machine

  • Kim, Joo-Sung;Jeong, Jung Sik
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.4
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    • pp.268-276
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    • 2015
  • A ship's sailing route or plan is determined by the master as the decision maker of the vessel, and depends on the characteristics of the navigational environment and the conditions of the ship. The trajectory, which appears as a result of the ship's navigation, is monitored and stored by a Vessel Traffic Service center, and is used for an analysis of the ship's navigational pattern and risk assessment within a particular area. However, such an analysis is performed in the same manner, despite the different navigational environments between coastal areas and the harbor limits. The navigational environment within the harbor limits changes rapidly owing to construction of the port facilities, dredging operations, and so on. In this study, a support vector machine was used for processing and modeling the trajectory data. A K-fold cross-validation and a grid search were used for selecting the optimal parameters. A complicated traffic route similar to the circumstances of the harbor limits was constructed for a validation of the model. A group of vessels was composed, each vessel of which was given various speed and course changes along a specified route. As a result of the machine learning, the optimal route and voyage data model were obtained. Finally, the model was presented to Vessel Traffic Service operators to detect any anomalous vessel behaviors. Using the proposed data modeling method, we intend to support the decision-making of Vessel Traffic Service operators in terms of navigational patterns and their characteristics.

Inundating Disaster Assessment in Coastal Areas Using Urban Flood Model (도시홍수모델을 이용한 해안지역의 침수재해평가)

  • Yoo Hwan-Hee;Kim Weon-Seok;Kim Seong-Sam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.24 no.3
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    • pp.299-309
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    • 2006
  • In recent years, a large natural disasters have occurred due to worldwide abnormal weather and the amount of damage has been increased more resulting from high density population and a large-sized buildings of the urbanized area. In this study. we estimate the flooded area according to rainfall probability intensify and sea level in Woreong dong, Masan occurred flood damages by typhoon Maemi using SWMM, a dynamic rainfall-runoff simulation model in urban area, and then analyze the damage of flood expected area through connecting with GIS database. In result, we can predict accurately expected area of inundation according to the rainfall intensity and sea level rise through dividing the study area into sub-area and estimating a flooded area and height using SWMM. We provide also the shelter information available for urban planning and flood risk estimation by landuse in expected flood area. Further research for hazard management system construction linked with web or wireless communication technology expects to increase its application.

Using the SIEM Software vulnerability detection model proposed (SIEM을 이용한 소프트웨어 취약점 탐지 모델 제안)

  • Jeon, In-seok;Han, Keun-hee;Kim, Dong-won;Choi, Jin-yung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.4
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    • pp.961-974
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    • 2015
  • With the advancement of SIEM from ESM, it allows deep correlated analysis using huge amount of data. By collecting software's vulnerabilities from assessment with certain classification measures (e.g., CWE), it can improve detection rate effectively, and respond to software's vulnerabilities by analyzing big data. In the phase of monitoring and vulnerability diagnosis Process, it not only detects predefined threats, but also vulnerabilities of software in each resources could promptly be applied by sharing CCE, CPE, CVE and CVSS information. This abstract proposes a model for effective detection and response of software vulnerabilities and describes effective outcomes of the model application.

Effect of Garlic and Aged Black Garlic on Hyperglycemia and Dyslipidemia in Animal Model of Type 2 Diabetes Mellitus

  • Seo, Yeong-Ju;Gweon, Oh-Cheon;Im, Ji-Eun;Lee, Young-Min;Kang, Min-Jung;Kim, Jung-In
    • Preventive Nutrition and Food Science
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    • v.14 no.1
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    • pp.1-7
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    • 2009
  • Control of hyperglycemia and dyslipidemia is strongly correlated with decreased risk for cardiovascular disease, the most common and fatal diabetic complication. The purpose of this study is to determine the effects of garlic and aged black garlic on glycemic control and blood lipid profile in animal model of type 2 diabetes. Three week-old db/db mice (C57BL/Ks, n=21) were fed AIN-93G semipurified diet or diet containing 5% freeze-dried garlic or aged black garlic for 7 weeks after 1 week of adaptation. Fasting serum glucose, insulin, triglyceride, total cholesterol, and HDL-cholesterol and blood glycated hemoglobin were measured. Body weight and food intake of garlic and aged black garlic group were not significantly different from those of the control group. Fasting serum glucose and blood glycated hemoglobin levels were significantly decreased and insulin level was significantly increased in garlic group compared with control group (p<0.05). Consumption of aged black garlic significantly decreased homeostasis model assessment for insulin resistance (HOMA-IR) and tended to decrease serum glucose. Garlic consumption significantly decreased total cholesterol, while aged black garlic significantly reduced serum total cholesterol and triglyceride and increased HDL-cholesterol levels. These results suggest that garlic exerts hypoglycemic and hypocholesterolemic effect and aged black garlic improved insulin sensitivity and dyslipidemia in db/db mice.

Misclassification Adjustment of Family History of Breast Cancer in a Case-Control Study: a Bayesian Approach

  • Moradzadeh, Rahmatollah;Mansournia, Mohammad Ali;Baghfalaki, Taban;Ghiasvand, Reza;Noori-Daloii, Mohammad Reza;Holakouie-Naieni, Kourosh
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.18
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    • pp.8221-8226
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    • 2016
  • Background: Misreporting self-reported family history may lead to biased estimations. We used Bayesian methods to adjust for exposure misclassification. Materials and Methods: A hospital-based case-control study was used to identify breast cancer risk factors among Iranian women. Three models were jointly considered; an outcome, an exposure and a measurement model. All models were fitted using Bayesian methods, run to achieve convergence. Results: Bayesian analysis in the model without misclassification showed that the odds ratios for the relationship between breast cancer and a family history in different prior distributions were 2.98 (95% CRI: 2.41, 3.71), 2.57 (95% CRI: 1.95, 3.41) and 2.53 (95% CRI: 1.93, 3.31). In the misclassified model, adjusted odds ratios for misclassification in the different situations were 2.64 (95% CRI: 2.02, 3.47), 2.64 (95% CRI: 2.02, 3.46), 1.60 (95% CRI: 1.07, 2.38), 1.61 (95% CRI: 1.07, 2.40), 1.57 (95% CRI: 1.05, 2.35), 1.58 (95% CRI: 1.06, 2.34) and 1.57 (95% CRI: 1.06, 2.33). Conclusions: It was concluded that self-reported family history may be misclassified in different scenarios. Due to the lack of validation studies in Iran, more attention to this matter in future research is suggested, especially while obtaining results in accordance with sensitivity and specificity values.