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factors</title> <meta name="description" content="Search results for: heath risk factors"> <meta name="keywords" content="heath risk factors"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="heath risk factors"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 14922</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: heath risk factors</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14922</span> Model of MSD Risk Assessment at Workplace</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Sekulov%C3%A1">K. Sekulová</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20%C5%A0imon"> M. Šimon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article focuses on upper-extremity musculoskeletal disorders risk assessment model at workplace. In this model are used risk factors that are responsible for musculoskeletal system damage. Based on statistic calculations the model is able to define what risk of MSD threatens workers who are under risk factors. The model is also able to say how MSD risk would decrease if these risk factors are eliminated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ergonomics" title="ergonomics">ergonomics</a>, <a href="https://publications.waset.org/abstracts/search?q=musculoskeletal%20disorders" title=" musculoskeletal disorders"> musculoskeletal disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=occupational%20diseases" title=" occupational diseases"> occupational diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a> </p> <a href="https://publications.waset.org/abstracts/13024/model-of-msd-risk-assessment-at-workplace" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13024.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">551</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14921</span> Impact of Perceived Racial Discrimination on Health Risk Behaviors and Experiences of BIPOC Adolescents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tya%20M.%20Arthur">Tya M. Arthur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: BIPOC (Black, Indigenous, and People of Color) adolescents face racism and discrimination at a young age. These early experiences have short- and long-term impacts on their health and overall well-being. The purpose of this study was to determine the relationships between perceived racial discrimination at school and health risk behaviors and experiences of BIPOC adolescents. Methods: Data from the 2021 Adolescent Behaviors and Experiences Survey (ABES) were analyzed. All demographic data were summarized using frequencies and chi-squared tests. A univariate and multivariate logistic regression model was used to test the relationship between perceived racial discrimination and selected health risk factors. All analyses were conducted using STATA SE 18. Results: A total of 42.2% of the BIPOC adolescents in the study indicated being treated unfairly at school due to their race. The majority of those who reported being discriminated against were Black/African American or Multiple Race-Hispanic. Asian adolescents were almost 5 times more likely to face racial discrimination at school compared to their American Indian/Alaska Native counterparts (OR = 4.86, 95% CI [2.69-8.77], p < 0.001). Other risk predictors of racial discrimination included being female (OR = 1.38, 95% CI [1.13-1.68], p = 0.002) and feeling disconnected at school (OR = 1.76, 95% CI [1.30-2.38], p < 0.001). After adjustment for health risk behaviors and experiences, BIPOC adolescents were still more likely to face racial discrimination with even higher odds. Conclusions: The results of this study highlight the depth of racial discrimination faced by BIPOC adolescents at school. Greater attention should be placed on racial discrimination as a social determinant of health and a public health crisis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=racial%20discrimination" title="racial discrimination">racial discrimination</a>, <a href="https://publications.waset.org/abstracts/search?q=adolescents" title=" adolescents"> adolescents</a>, <a href="https://publications.waset.org/abstracts/search?q=heath%20risk%20factors" title=" heath risk factors"> heath risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=BIPOC" title=" BIPOC"> BIPOC</a> </p> <a href="https://publications.waset.org/abstracts/169857/impact-of-perceived-racial-discrimination-on-health-risk-behaviors-and-experiences-of-bipoc-adolescents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169857.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14920</span> Essential Factors of Risk Perception Crucial in Efficient Construction Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Francis%20Edum-Fotwe">Francis Edum-Fotwe</a>, <a href="https://publications.waset.org/abstracts/search?q=Tony%20Thorpe"> Tony Thorpe</a>, <a href="https://publications.waset.org/abstracts/search?q=Charles%20Afetornu"> Charles Afetornu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Risk perception informs the outcome of how issues are responded to in either solving or overcoming a problem or improving a situation. Risk perception is established to be affected by some key factors reflecting in the varying ways in which work is done as well as the level of efficiency achieved. These factors potentially would influence risk perception to different extents. Such that if these factors are said to determine risk perception, how does a change in any affect risk perception. Since the ability to address risk is influenced by risk perception, establishing and developing awareness of that perception should enable construction professionals to make viable decisions. Any act to improve the construction industry cannot be overemphasised, considering its contribution to national development. A survey questionnaire was conducted in Ghana to elicit data that measures the risk perception and the essential factors as well as the necessary demographics of the respondents, who are construction professionals. This study finds out the sensitivity of the critical factors of risk perception. It uses the Relative Importance Index analysis tool to investigate the differential effect of these essential factors on risk perception, such that a slight change in a factor makes a significant change in risk perception, having established that it is influenced by essential factors. The findings can lead to policy formation for employers on the prioritisation factors to undertake to improve the risk perception of employees. Other areas in which this study can be useful in team formation for sensitive and complex projects where efficient risk management is critical. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=construction%20industry" title="construction industry">construction industry</a>, <a href="https://publications.waset.org/abstracts/search?q=risk" title=" risk"> risk</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20management" title=" risk management"> risk management</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20perception" title=" risk perception"> risk perception</a> </p> <a href="https://publications.waset.org/abstracts/126915/essential-factors-of-risk-perception-crucial-in-efficient-construction-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126915.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">143</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14919</span> Project Risk Assessment of the Mining Industry of Ghana</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Charles%20Amoatey">Charles Amoatey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The issue of risk in the mining industry is a global phenomenon and the Ghanaian mining industry is not exempted. The main purpose of this study is to identify the critical risk factors affecting the mining industry. The study takes an integrated view of the mining industry by examining the contribution of various risk factors to mining project failure in Ghana. A questionnaire survey was conducted to solicit the critical risk factors from key mining practitioners. About 80 respondents from 11 mining firms participated in the survey. The study identified 22 risk factors contributing to mining project failure in Ghana. The five most critical risk factors based on both probability of occurrence and impact were: (1) unstable commodity prices, (2) inflation/exchange rate, (3) land degradation, (4) high cost of living and (5) government bureaucracy for obtaining licenses. Furthermore, the study found that risk assessment in the mining sector has a direct link with mining project sustainability. Mitigation measures for addressing the identified risk factors were discussed. The key findings emphasize the need for a comprehensive risk management culture in the entire mining industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk" title="risk">risk</a>, <a href="https://publications.waset.org/abstracts/search?q=assessment" title=" assessment"> assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=mining" title=" mining"> mining</a>, <a href="https://publications.waset.org/abstracts/search?q=Ghana" title=" Ghana"> Ghana</a> </p> <a href="https://publications.waset.org/abstracts/48909/project-risk-assessment-of-the-mining-industry-of-ghana" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48909.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">452</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14918</span> UEMSD Risk Identification: Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Sekulov%C3%A1">K. Sekulová</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20%C5%A0imon"> M. Šimon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The article demonstrates on a case study how it is possible to identify MSD risk. It is based on a dissertation risk identification model of occupational diseases formation in relation to the work activity that determines what risk can endanger workers who are exposed to the specific risk factors. It is evaluated based on statistical calculations. These risk factors are main cause of upper-extremities musculoskeletal disorders. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=case%20study" title="case study">case study</a>, <a href="https://publications.waset.org/abstracts/search?q=upper-extremity%20musculoskeletal%20disorders" title=" upper-extremity musculoskeletal disorders"> upper-extremity musculoskeletal disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=ergonomics" title=" ergonomics"> ergonomics</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20identification" title=" risk identification"> risk identification</a> </p> <a href="https://publications.waset.org/abstracts/14518/uemsd-risk-identification-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14518.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">500</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14917</span> An Assessment of the Risk and Protective Factors Impacting Criminal Gang Involvement among At-Risk Boys Resident at a Juvenile Home in Trinidad and Tobago: The Peer/Individual Domain of the Risk Factor Prevention ParadIGM </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dianne%20Williams">Dianne Williams</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examined the peer/individual domain of the Risk Factor Prevention Paradigm (RFPP) to assess the risk and protective factors that impact criminal gang involvement among at-risk males residing in a juvenile home in Trinidad and Tobago. The RFPP allows for the identification of both risk and protective factors in a single, holistic framework to identify the relationship between risk factors, protective factors, and criminal gang involvement among at-risk male adolescents. Findings showed that having anti-social peers was the most significant risk factor associated with criminal gang involvement, while the most significant protective factor was having a positive social attitude. Moreover, while 65% of the boys reported never having been in a gang, 70% reported having hit, struck or used a weapon against someone, while 52% reported being involved in other violent incidents on more than two occasions. This suggests that while involvement with criminal gangs may not be common among this population, predisposing behavioral patterns are present. Results are expected to assist in the development of targeted strategies to reduce the attractiveness of gang membership. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk%20factor%20prevention%20paradigm" title="risk factor prevention paradigm">risk factor prevention paradigm</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=protective%20factors" title=" protective factors"> protective factors</a>, <a href="https://publications.waset.org/abstracts/search?q=peer%2Findividual%20domain" title=" peer/individual domain"> peer/individual domain</a>, <a href="https://publications.waset.org/abstracts/search?q=gang%20involvement" title=" gang involvement"> gang involvement</a>, <a href="https://publications.waset.org/abstracts/search?q=at-risk%20youth" title=" at-risk youth"> at-risk youth</a>, <a href="https://publications.waset.org/abstracts/search?q=trinidad%20and%20tobago" title=" trinidad and tobago"> trinidad and tobago</a>, <a href="https://publications.waset.org/abstracts/search?q=juvenile%20home" title=" juvenile home"> juvenile home</a> </p> <a href="https://publications.waset.org/abstracts/35675/an-assessment-of-the-risk-and-protective-factors-impacting-criminal-gang-involvement-among-at-risk-boys-resident-at-a-juvenile-home-in-trinidad-and-tobago-the-peerindividual-domain-of-the-risk-factor-prevention-paradigm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35675.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">607</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14916</span> A Multilevel Approach for Stroke Prediction Combining Risk Factors and Retinal Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jeena%20R.%20S.">Jeena R. S.</a>, <a href="https://publications.waset.org/abstracts/search?q=Sukesh%20Kumar%20A."> Sukesh Kumar A.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Stroke is one of the major reasons of adult disability and morbidity in many of the developing countries like India. Early diagnosis of stroke is essential for timely prevention and cure. Various conventional statistical methods and computational intelligent models have been developed for predicting the risk and outcome of stroke. This research work focuses on a multilevel approach for predicting the occurrence of stroke based on various risk factors and invasive techniques like retinal imaging. This risk prediction model can aid in clinical decision making and help patients to have an improved and reliable risk prediction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=prediction" title="prediction">prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=retinal%20imaging" title=" retinal imaging"> retinal imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=stroke" title=" stroke"> stroke</a> </p> <a href="https://publications.waset.org/abstracts/91133/a-multilevel-approach-for-stroke-prediction-combining-risk-factors-and-retinal-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91133.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">303</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14915</span> Breast Cancer Risk Factors: A Big Data Analysis of Black and White Women in the USA</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tejasvi%20Parupudi">Tejasvi Parupudi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mochen%20Li"> Mochen Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Lakshya%20Mittal"> Lakshya Mittal</a>, <a href="https://publications.waset.org/abstracts/search?q=Ignacio%20G.%20Camarillo"> Ignacio G. Camarillo</a>, <a href="https://publications.waset.org/abstracts/search?q=Raji%20Sundararajan"> Raji Sundararajan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With breast cancer becoming a global pandemic, it is very important to assess a woman’s risk profile accurately in a timely manner. Providing an estimate of the risk of developing breast cancer to a woman gives her an opportunity to consider options to decrease this risk. Women at low risk may be suggested yearly screenings whereas women with a high risk of developing breast cancer would be candidates for aggressive surveillance. Fortunately, there is a set of risk factors that are used to predict the probability of a woman being diagnosed with breast cancer in the future. Studying risk factors and understanding how they correlate to cancer is important for early diagnosis, prevention and reducing mortality rates. The effect of crucial risk factors among black and white women was compared in this study. The various risk factors analyzed include breast density, age, cancer in a first-degree relative, menopausal status, body mass index (BMI) and prior breast cancer diagnosis, etc. Breast density, age at first full-term birth and BMI were utilized in this study as important risk factors for the comparison of incidence rates between women of black and white races in the USA. Understanding the differences could lead to the development of solutions to reduce disparity in mortality rates among black women by improving overall access to care. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title=" breast cancer"> breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=incidence%20rates" title=" incidence rates"> incidence rates</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=race" title=" race"> race</a> </p> <a href="https://publications.waset.org/abstracts/88490/breast-cancer-risk-factors-a-big-data-analysis-of-black-and-white-women-in-the-usa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88490.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">275</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14914</span> Classification of Health Risk Factors to Predict the Risk of Falling in Older Adults </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20Lindsay">L. Lindsay</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20A.%20Coleman"> S. A. Coleman</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Kerr"> D. Kerr</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20J.%20Taylor"> B. J. Taylor</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Moorhead"> A. Moorhead</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cognitive decline and frailty is apparent in older adults leading to an increased likelihood of the risk of falling. Currently health care professionals have to make professional decisions regarding such risks, and hence make difficult decisions regarding the future welfare of the ageing population. This study uses health data from The Irish Longitudinal Study on Ageing (TILDA), focusing on adults over the age of 50 years, in order to analyse health risk factors and predict the likelihood of falls. This prediction is based on the use of machine learning algorithms whereby health risk factors are used as inputs to predict the likelihood of falling. Initial results show that health risk factors such as long-term health issues contribute to the number of falls. The identification of such health risk factors has the potential to inform health and social care professionals, older people and their family members in order to mitigate daily living risks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=classification" title="classification">classification</a>, <a href="https://publications.waset.org/abstracts/search?q=falls" title=" falls"> falls</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk%20factors" title=" health risk factors"> health risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=older%20adults" title=" older adults"> older adults</a> </p> <a href="https://publications.waset.org/abstracts/104420/classification-of-health-risk-factors-to-predict-the-risk-of-falling-in-older-adults" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/104420.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14913</span> Risk Management Practices In The Construction Industry In Malawi</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Taonga%20Temwani%20Chibaka">Taonga Temwani Chibaka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This qualitative research study was conducted to identify the common risk factors that affect the construction industry in Malawi in the building and infrastructure (civil works) projects. The study then evaluates the possible risk responses that are done to mitigate the various risk factors that were identified. I addition the research also established the barriers to risk management implementation with lastly mapping out as where the identified risk factors fall on which stage of the project and then also map out the knowledge areas that need to be worked on the cases on Malawian construction industry in order to mitigate most of the identified risk factors. The study involved the interviewing the professionals from the construction industry in Malawi where insights and ideas were collected, analysed and interpreted. The key study findings show that risks related to clients group are perceived as most critical followed by the contractor related, consultant related and then external group related factors respectively where preventive measures are the most applied risk response technique where the aim to avoid most of the risk factors from happening. Most of the risk factors identified were internal risks and in managerial category which suggested that risk planning was to be emphasized at pre-contract stage to minimize these risks since a bigger percentage of the risk factors were mapped out at implementation stage. Furthermore, barriers to risk management were identified and the key barriers were lack of awareness; lack of knowledge; lack of formal policies in place; regarded as costly and limited time which resulted in proposing that regulating authorities to purposefully introduce intense training on risk management to make known of this new knowledge area. The study then recommends that organisation should formally implement risk management where policies should be introduced to enforce all parties to undertake this. Risk planning was regarded as paramount and this to be done from pre-contract phase so as to mitigate 80% of the risk factors. Finally, training should be done on all project management knowledge areas. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk%20management" title="risk management">risk management</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=risks" title=" risks"> risks</a>, <a href="https://publications.waset.org/abstracts/search?q=malawi" title=" malawi"> malawi</a> </p> <a href="https://publications.waset.org/abstracts/140952/risk-management-practices-in-the-construction-industry-in-malawi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/140952.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">323</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14912</span> Evaluation of Disease Risk Variables in the Control of Bovine Tuberculosis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Berrin%20%C5%9Eent%C3%BCrk">Berrin Şentürk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, due to the recurrence of bovine tuberculosis, in the same areas, the risk factors for the disease were determined and evaluated at the local level. This study was carried out in 32 farms where the disease was detected in the district and center of Samsun province in 2014. Predetermined risk factors, such as farm, environmental and economic risks, were investigated with the survey method. It was predetermined that risks in the three groups are similar to the risk variables of the disease on the global scale. These risk factors that increase the susceptibility of the infection must be understood by the herd owners. The risk-based contagious disease management system approach should be applied for bovine tuberculosis by farmers, animal health professionals and public and private sector decision makers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bovine%20tuberculosis" title="bovine tuberculosis">bovine tuberculosis</a>, <a href="https://publications.waset.org/abstracts/search?q=disease%20management" title=" disease management"> disease management</a>, <a href="https://publications.waset.org/abstracts/search?q=control" title=" control"> control</a>, <a href="https://publications.waset.org/abstracts/search?q=outbreak" title=" outbreak"> outbreak</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20analysis" title=" risk analysis"> risk analysis</a> </p> <a href="https://publications.waset.org/abstracts/61078/evaluation-of-disease-risk-variables-in-the-control-of-bovine-tuberculosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61078.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">402</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14911</span> Dissecting ESG: The Impact of Environmental, Social, and Governance Factors on Stock Price Risk in European Markets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sylwia%20Frydrych">Sylwia Frydrych</a>, <a href="https://publications.waset.org/abstracts/search?q=J%C3%B6rg%20Prokop"> Jörg Prokop</a>, <a href="https://publications.waset.org/abstracts/search?q=Micha%C5%82%20Buszko"> Michał Buszko</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigates the complex relationship between corporate ESG (Environmental, Social, Governance) performance and stock price risk within the European market context. By analyzing a dataset of 435 companies across 19 European countries, the research assesses the impact of both combined ESG performance and its individual components on various risk measures, including volatility, idiosyncratic risk, systematic risk, and downside risk. The findings reveal that while overall ESG scores do not significantly influence stock price risk, disaggregating the ESG components uncovers significant relationships. Governance practices are shown to consistently reduce market risk, positioning them as critical in risk management. However, environmental engagement tends to increase risk, particularly in times of regulatory shifts like those introduced in the EU post-2018. This research provides valuable insights for investors and corporate managers on the nuanced roles of ESG factors in financial risk, emphasizing the need for careful consideration of each ESG pillar in decision-making processes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ESG%20performance" title="ESG performance">ESG performance</a>, <a href="https://publications.waset.org/abstracts/search?q=ESG%20factors" title=" ESG factors"> ESG factors</a>, <a href="https://publications.waset.org/abstracts/search?q=ESG%20pillars" title=" ESG pillars"> ESG pillars</a>, <a href="https://publications.waset.org/abstracts/search?q=ESG%20scores" title=" ESG scores"> ESG scores</a> </p> <a href="https://publications.waset.org/abstracts/189313/dissecting-esg-the-impact-of-environmental-social-and-governance-factors-on-stock-price-risk-in-european-markets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/189313.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">25</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14910</span> Anemia and Nutritional Status as Dominant Factor of the Event Low Birth Weight in Indonesia: A Systematic Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lisnawati%20Hutagalung">Lisnawati Hutagalung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Low birth weight (LBW) is one cause of newborn death. Babies with low birth weight tend to have slower cognitive development, growth retardation, more at risk of infectious disease event at risk of death. Objective: Identifying risk factors and dominant factors that influence the incidence of LBW in Indonesia. Method: This research used some database of public health such as Google Scholar, UGM journals, UI journals and UNAND journals in 2012-2015. Data were filtered using keywords ‘Risk Factors’ AND ‘Cause LBW’ with amounts 2757 study. The filtrate obtained 5 public health research that meets the criteria. Results: Risk factors associated with LBW, among other environment factors (exposure to cigarette smoke and residence), social demographics (age and socio-economic) and maternal factors (anemia, placental abnormal, nutritional status of mothers, examinations antenatal, preeclampsia, parity, and complications in pregnancy). Anemia and nutritional status become the dominant factor affecting LBW. Conclusions: The risk factors that affect LBW, most commonly found in the maternal factors. The dominant factors are a big effect on LBW is anemia and nutritional status of the mother during pregnancy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=low%20birth%20weight" title="low birth weight">low birth weight</a>, <a href="https://publications.waset.org/abstracts/search?q=anemia" title=" anemia"> anemia</a>, <a href="https://publications.waset.org/abstracts/search?q=nutritional%20status" title=" nutritional status"> nutritional status</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20dominant%20factor" title=" the dominant factor"> the dominant factor</a> </p> <a href="https://publications.waset.org/abstracts/56089/anemia-and-nutritional-status-as-dominant-factor-of-the-event-low-birth-weight-in-indonesia-a-systematic-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56089.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">365</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14909</span> Identifying Psychosocial, Autonomic, and Pain Sensitivity Risk Factors of Chronic Temporomandibular Disorder by Using Ridge Logistic Regression and Bootstrapping</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haolin%20Li">Haolin Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Eric%20Bair"> Eric Bair</a>, <a href="https://publications.waset.org/abstracts/search?q=Jane%20Monaco"> Jane Monaco</a>, <a href="https://publications.waset.org/abstracts/search?q=Quefeng%20Li"> Quefeng Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The temporomandibular disorder (TMD) is a series of musculoskeletal disorders ranging from jaw pain to chronic debilitating pain, and the risk factors for the onset and maintenance of TMD are still unclear. Prior researches have shown that the potential risk factors for chronic TMD are related to psychosocial factors, autonomic functions, and pain sensitivity. Using data from the Orofacial Pain: Prospective Evaluation and Risk Assessment (OPPERA) study’s baseline case-control study, we examine whether the risk factors identified by prior researches are still statistically significant after taking all of the risk measures into account in one single model, and we also compare the relative influences of the risk factors in three different perspectives (psychosocial factors, autonomic functions, and pain sensitivity) on the chronic TMD. The statistical analysis is conducted by using ridge logistic regression and bootstrapping, in which the performance of the algorithms has been assessed using extensive simulation studies. The results support most of the findings of prior researches that there are many psychosocial and pain sensitivity measures that have significant associations with chronic TMD. However, it is surprising that most of the risk factors of autonomic functions have not presented significant associations with chronic TMD, as described by a prior research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomic%20function" title="autonomic function">autonomic function</a>, <a href="https://publications.waset.org/abstracts/search?q=OPPERA%20study" title=" OPPERA study"> OPPERA study</a>, <a href="https://publications.waset.org/abstracts/search?q=pain%20sensitivity" title=" pain sensitivity"> pain sensitivity</a>, <a href="https://publications.waset.org/abstracts/search?q=psychosocial%20measures" title=" psychosocial measures"> psychosocial measures</a>, <a href="https://publications.waset.org/abstracts/search?q=temporomandibular%20disorder" title=" temporomandibular disorder"> temporomandibular disorder</a> </p> <a href="https://publications.waset.org/abstracts/106948/identifying-psychosocial-autonomic-and-pain-sensitivity-risk-factors-of-chronic-temporomandibular-disorder-by-using-ridge-logistic-regression-and-bootstrapping" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106948.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">188</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14908</span> Correlations between Obesity Indices and Cardiometabolic Risk Factors in Obese Subgroups in Severely Obese Women</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seung%20Hun%20Lee">Seung Hun Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Sang%20Yeoup%20Lee"> Sang Yeoup Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objectives: To investigate associations between degrees of obesity using correlations between obesity indices and cardiometabolic risk factors. Methods: BMI, waist circumference (WC), fasting insulin, fasting glucose, lipids, and visceral adipose tissue (VAT) area using computed tomographic images were measured in 113 obese female without cardiovascular disease (CVD). Correlations between obesity indices and cardiometabolic risk factors were analyzed in obese subgroups defined using sequential obesity indices. Results: Mean BMI and WC were 29.6 kg/m2 and 92.8 cm. BMI showed significant correlations with all five cardiometabolic risk factors until the BMI cut-off point reached 27 kg/m2, but when it exceeded 30 kg/m2, correlations no longer existed. WC was significantly correlated with all five cardiometabolic risk factors up to a value of 85 cm, but when WC exceeded 90 cm, correlations no longer existed. Conclusions: Our data suggest that moderate weight-loss goals may not be enough to ameliorate cardiometabolic markers in severely obese patients. Therefore, individualized weight-loss goals should be recommended to such patients to improve health benefits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=correlation" title="correlation">correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiovascular%20disease" title=" cardiovascular disease"> cardiovascular disease</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/23228/correlations-between-obesity-indices-and-cardiometabolic-risk-factors-in-obese-subgroups-in-severely-obese-women" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23228.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">357</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14907</span> Proposal of Innovative Risk Assessment of Ergonomic Factors in the Production of Jet Engines Using AHP (Analytic Hierarchy Process)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jose%20Cristiano%20Pereira">Jose Cristiano Pereira</a>, <a href="https://publications.waset.org/abstracts/search?q=Gilson%20Brito%20Alves%20Lima"> Gilson Brito Alves Lima</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ergonomics is a key factor affecting the operational safety and quality in the aircraft engine manufacturing industry and evidence shows that the lack of attention to it can increase the risk of accidents. In order to emphasize the importance of ergonomics, this paper systematically reviews the critical processes used in the aircraft engine production industry with focus on the ergonomic factors. about the subject to identify key ergonomic factors. Experts validated the factors and used AHP to rank the factors in order of significance. From the six key risk factors identified, the ones with the highest weight are psychological demand followed by understanding of operational side. These factors suggest that measures must be taken to improve ergonomic factors, quality and safety in the manufacturing of aircraft engines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ergonomics" title="ergonomics">ergonomics</a>, <a href="https://publications.waset.org/abstracts/search?q=safety" title=" safety"> safety</a>, <a href="https://publications.waset.org/abstracts/search?q=aviation" title=" aviation"> aviation</a>, <a href="https://publications.waset.org/abstracts/search?q=aircraft%20engine%20production" title=" aircraft engine production"> aircraft engine production</a> </p> <a href="https://publications.waset.org/abstracts/53194/proposal-of-innovative-risk-assessment-of-ergonomic-factors-in-the-production-of-jet-engines-using-ahp-analytic-hierarchy-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53194.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">315</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14906</span> Risk Management through Controlling in Industrial Enterprises Operating in Slovakia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M%C3%A1ria%20Hud%C3%A1kov%C3%A1">Mária Hudáková</a>, <a href="https://publications.waset.org/abstracts/search?q=M%C3%A1ria%20Luskov%C3%A1"> Mária Lusková</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This report is focused on widening the theoretical knowledge as well as controlling practical application from the risk management point of view, regarding to dynamic business changes that have occurred in Slovakia which recently has been considered to be an environment full of risk and uncertainty. The idea of the report is the proposal of the controlling operation model in the course of risk management process in an enterprise operating in Slovakia, by which the controller is able to identify early risk factors in suggested major areas of the business management upon appropriate business information integration, consecutive control and prognoses and to prepare in time full-value documents in order to suggest measures for reduction thereof. Dealing with risk factors, that can quickly limit the growth potential of the enterprise, is an essential part of managerial activities on each level. This is the reason why mutual unofficial, ergo collegial cooperation of individual departments is necessary for controlling application from the business risk management point of view. An important part of the report is elaborated survey of the most important risk factors existing in major management areas of enterprises operating in Slovakia. The outcome of the performed survey is a catalogue of the most important enterprise risk factors. The catalogue serves for better understanding risk factors affecting the Slovak enterprises, their importance and evaluation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=controlling" title="controlling">controlling</a>, <a href="https://publications.waset.org/abstracts/search?q=information" title=" information"> information</a>, <a href="https://publications.waset.org/abstracts/search?q=risks" title=" risks"> risks</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factor" title=" risk factor"> risk factor</a>, <a href="https://publications.waset.org/abstracts/search?q=crisis" title=" crisis"> crisis</a> </p> <a href="https://publications.waset.org/abstracts/59472/risk-management-through-controlling-in-industrial-enterprises-operating-in-slovakia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59472.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">395</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14905</span> Risk Identification of Investment Feasibility in Indonesia’s Toll Road Infrastructure Investment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christo%20Februanto%20Putra">Christo Februanto Putra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents risk identification that affects investment feasibility on toll road infrastructure in Indonesia using qualitative methods survey based on the expert practitioner in investor, contractor, and state officials. The problems on infrastructure investment in Indonesia, especially on KPBU model contract, is many risk factors in the investment plan is not calculated in detail thoroughly. Risk factor is a value used to provide an overview of the risk level assessment of an event which is a function of the probability of the occurrence and the consequences of the risks that arise. As results of the survey which is to show which risk factors impacts directly to the investment feasibility and rank them by their impacts on the investment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk%20identification" title="risk identification">risk identification</a>, <a href="https://publications.waset.org/abstracts/search?q=indonesia%20toll%20road" title=" indonesia toll road"> indonesia toll road</a>, <a href="https://publications.waset.org/abstracts/search?q=investment%20feasibility" title=" investment feasibility"> investment feasibility</a> </p> <a href="https://publications.waset.org/abstracts/142379/risk-identification-of-investment-feasibility-in-indonesias-toll-road-infrastructure-investment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142379.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">280</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14904</span> Prevalence of Diabetes Mellitus Type 2 Risk Factors among Nurses in Mongolia </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20Davaakhuu">V. Davaakhuu</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Tserendagva"> D. Tserendagva</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Amarsaikhan"> D. Amarsaikhan</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Altanstetseg"> T. Altanstetseg </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study we aimed to detect main risk factors for diabetes in Mongolia and obtain data we used survey modified questionnaire. Survey data were obtained from 634 valid nurses (day work nurses-317, shift work nurses-317). Participants who were pregnant, less than 20 years old and no check for fasting glucose level were excluded from the survey in order to determine the risk factors of diabetes. Our study result shows the main risk factors of diabetes were physical inactivity, overweight and obesity, alcohol and tobacco use and lack of vegetable and fruit consumption. Peripheral blood glucose level was normal in subjects with BMI 26.28 ± 0.56, but 20 % of the subjects with normal blood glucose level were obese. Blood glucose level was higher in subjects with BMI 28.63 ± 2.32 and 36 % of them were obese. According to our study results, 3.62% of the surveyed population were identified having no diabetes risk factors, 52.3% were at risk, 28.8% were in higher risk for diabetes by the WHO criteria. In general, the prevalence of blood glucose were especially higher in shift work nurses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=day%20work%20nurses" title="day work nurses">day work nurses</a>, <a href="https://publications.waset.org/abstracts/search?q=shift%20work%20nurses" title=" shift work nurses"> shift work nurses</a>, <a href="https://publications.waset.org/abstracts/search?q=BMI" title=" BMI"> BMI</a>, <a href="https://publications.waset.org/abstracts/search?q=WHR" title=" WHR"> WHR</a> </p> <a href="https://publications.waset.org/abstracts/25295/prevalence-of-diabetes-mellitus-type-2-risk-factors-among-nurses-in-mongolia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25295.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">593</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14903</span> Family Management, Relations Risk and Protective Factors for Adolescent Substance Abuse in South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Beatrice%20Wamuyu%20Muchiri">Beatrice Wamuyu Muchiri</a>, <a href="https://publications.waset.org/abstracts/search?q=Monika%20M.%20L.%20Dos%20Santos"> Monika M. L. Dos Santos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An increasingly recognised prevention approach for substance use entails reduction in risk factors and enhancement of promotive or protective factors in individuals and the environment surrounding them during their growth and development. However, in order to enhance the effectiveness of this approach, continuous study of risk aspects targeting different cultures, social groups and mixture of society has been recommended. This study evaluated the impact of potential risk and protective factors associated with family management and relations on adolescent substance abuse in South Africa. Exploratory analysis and cumulative odds ordinal logistic regression modelling was performed on the data while controlling for demographic and socio-economic characteristics on adolescent substance use. The most intensely used substances were tobacco, cannabis, cocaine, heroin and alcohol in decreasing order of use intensity. The specific protective or risk impact of family management or relations factors varied from substance to substance. Risk factors associated with demographic and socio-economic factors included being male, younger age, being in lower education grades, coloured ethnicity, adolescents from divorced parents and unemployed or fully employed mothers. Significant family relations risk and protective factors against substance use were classified as either family functioning and conflict or family bonding and support. Several family management factors, categorised as parental monitoring, discipline, behavioural control and rewards, demonstrated either risk or protective effect on adolescent substance use. Some factors had either interactive risk or protective impact on substance use or lost significance when analysed jointly with other factors such as controlled variables. Interaction amongst risk or protective factors as well as the type of substance should be considered when further considering interventions based on these risk or protective factors. Studies in other geographical regions, institutions and with better gender balance are recommended to improve upon the representativeness of the results. Several other considerations to be made when formulating interventions, the shortcomings of this study and possible improvements as well as future studies are also suggested. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title="risk factors">risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=protective%20factors" title=" protective factors"> protective factors</a>, <a href="https://publications.waset.org/abstracts/search?q=substance%20use" title=" substance use"> substance use</a>, <a href="https://publications.waset.org/abstracts/search?q=adolescents" title=" adolescents"> adolescents</a> </p> <a href="https://publications.waset.org/abstracts/97835/family-management-relations-risk-and-protective-factors-for-adolescent-substance-abuse-in-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97835.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">204</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14902</span> A Study on Exploring and Prioritizing Critical Risks in Construction Project Assessment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Swetha">A. Swetha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to prioritize and explore critical risks in construction project assessment, employing the Weighted Average Index method and Principal Component Analysis (PCA). Through extensive literature review and expert interviews, project assessment risk factors were identified across Budget and Cost Management Risk, Schedule and Time Management Risk, Scope and Planning Risk, Safety and Regulatory Compliance Risk, Resource Management Risk, Communication and Stakeholder Management Risk, and Environmental and Sustainability Risk domains. A questionnaire was distributed to stakeholders involved in construction activities in Hyderabad, India, with 180 completed responses analyzed using the Weighted Average Index method to prioritize risk factors. Subsequently, PCA was used to understand relationships between these factors and uncover underlying patterns. Results highlighted dependencies on critical resources, inadequate risk assessment, cash flow constraints, and safety concerns as top priorities, while factors like currency exchange rate fluctuations and delayed information dissemination ranked lower but remained significant. These insights offer valuable guidance for stakeholders to mitigate risks effectively and enhance project outcomes. By adopting systematic risk assessment and management approaches, construction projects in Hyderabad and beyond can navigate challenges more efficiently, ensuring long-term viability and resilience. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=construction%20project%20assessment%20risk%20factor" title="construction project assessment risk factor">construction project assessment risk factor</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20prioritization" title=" risk prioritization"> risk prioritization</a>, <a href="https://publications.waset.org/abstracts/search?q=weighted%20average%20index" title=" weighted average index"> weighted average index</a>, <a href="https://publications.waset.org/abstracts/search?q=principal%20component%20analysis" title=" principal component analysis"> principal component analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20risk%20factors" title=" project risk factors"> project risk factors</a> </p> <a href="https://publications.waset.org/abstracts/187450/a-study-on-exploring-and-prioritizing-critical-risks-in-construction-project-assessment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187450.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">40</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14901</span> Effect of Bank Specific and Macro Economic Factors on Credit Risk of Islamic Banks in Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mati%20Ullah">Mati Ullah</a>, <a href="https://publications.waset.org/abstracts/search?q=Shams%20Ur%20Rahman"> Shams Ur Rahman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this research study is to investigate the effect of macroeconomic and bank-specific factors on credit risk in Islamic banking in Pakistan. The future of financial institutions largely depends on how well they manage risks. Credit risk is an important type of risk affecting the banking sector. The current study has taken quarterly data for the period of 6 years, from 1st July 2014 to 30 Jun 2020. The data set consisted of secondary data. Data was extracted from the websites of the State Bank and World Bank and from the financial statements of the concerned banks. In this study, the Ordinary least square model was used for the analysis of the data. The results supported the hypothesis that macroeconomic factors and bank-specific factors have a significant effect on credit risk. Macroeconomic variables, Inflation and exchange rates have positive significant effects on credit risk. However, gross domestic product has a negative significant relationship with credit risk. Moreover, the corporate rate has no significant relation with credit risk. Internal variables, size, management efficiency, net profit share income and capital adequacy have been proven to influence positively and significantly the credit risk. However, loan to deposit-has a negative insignificance relationship with credit risk. The contribution of this article is that similar conclusions have been made regarding the influence of banking factors on credit risk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=credit%20risk" title="credit risk">credit risk</a>, <a href="https://publications.waset.org/abstracts/search?q=Islamic%20banks" title=" Islamic banks"> Islamic banks</a>, <a href="https://publications.waset.org/abstracts/search?q=macroeconomic%20variables" title=" macroeconomic variables"> macroeconomic variables</a>, <a href="https://publications.waset.org/abstracts/search?q=banks%20specific%20variable" title=" banks specific variable"> banks specific variable</a> </p> <a href="https://publications.waset.org/abstracts/191970/effect-of-bank-specific-and-macro-economic-factors-on-credit-risk-of-islamic-banks-in-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191970.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">17</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14900</span> A Risk Pathway of Distal and Proximal Factors for Self-Injury among Adolescents </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarit%20Gideoni%20Cohen">Sarit Gideoni Cohen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of the study was to examine possible risk pathway which initiated by the distal risk factors of insecure attachment to the mother, the father and peers and then developed by means of proximal risk factors: stressful life events and emotional distress. 275 participants (aged 13-26) from high-schools, youth groups and university were requited. Twenty-two percent participants reported at least one episode of self-injury. The relationship between paternal and peer attachment were partly mediated by stressful life events and depressive symptoms. Paternal and peer attachment influences during adolescence as contributing to risk pathway for self-injury were acknowledged. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=self-injury" title="self-injury">self-injury</a>, <a href="https://publications.waset.org/abstracts/search?q=attachment" title=" attachment"> attachment</a>, <a href="https://publications.waset.org/abstracts/search?q=depression" title=" depression"> depression</a>, <a href="https://publications.waset.org/abstracts/search?q=stressful%20life-events" title=" stressful life-events"> stressful life-events</a>, <a href="https://publications.waset.org/abstracts/search?q=adolescence" title=" adolescence"> adolescence</a> </p> <a href="https://publications.waset.org/abstracts/83383/a-risk-pathway-of-distal-and-proximal-factors-for-self-injury-among-adolescents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83383.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">229</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14899</span> Increasing Prevalence of CVD and Its Risk Factors in India: A Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepa%20Shokeen">Deepa Shokeen</a>, <a href="https://publications.waset.org/abstracts/search?q=Bani%20Tamber%20Aeri"> Bani Tamber Aeri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Non-communicable diseases in general and cardiovascular diseases (CVD) in particular are a big cause of concern worldwide especially in fast growing economy like India. CVD is one of the leading causes of deaths in India. Risk factors for cardiovascular disease are now significant in all populations. At least one-third of all CVD is attributable to five risk factors: tobacco use, alcohol use, high blood pressure, high cholesterol and obesity. Methods: This article aspires to collate data gathered by relevant studies conducted after year 2000 and provide an overview of the prevalence of CVD in India and worldwide. Results: Studies show an increased prevalence of cardiovascular risk factors in India as compared to other developing and developed countries with recent trends showing incidence in younger age group. It is seen to affect almost all sections of the society from young to old and most affluent to least affluent. High blood pressure, high cholesterol, tobacco and alcohol use, as well as low vegetable and fruit intake, already figure among the top risk factors. Conclusion: The prevalence of risk factors associated with CVD has increased and will keep on increasing in India as indicated by studies in the last decade and as predicted by the projections for future estimates. Some major risks are modifiable in that they can be prevented, treated, and controlled. There are considerable health benefits at all ages, for both men and women, in stopping smoking, reducing cholesterol and blood pressure, eating a healthy diet and increasing physical activity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=prevalence" title="prevalence">prevalence</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiovascular%20disease" title=" cardiovascular disease"> cardiovascular disease</a>, <a href="https://publications.waset.org/abstracts/search?q=India" title=" India"> India</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a> </p> <a href="https://publications.waset.org/abstracts/14777/increasing-prevalence-of-cvd-and-its-risk-factors-in-india-a-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14777.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">514</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14898</span> Physical and Psychosocial Risk Factors Associated with Occupational Lower Back/Neck Pain among Industrial Workers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ghorbanali%20Mohammadi">Ghorbanali Mohammadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The objectives of this study were the association between physical and psychological risk factors for occupational lower back and neck pain among industrial workers. Methods: We conducted a cross-sectional study among 400 male workers of an industrial company over the previous 7days and 12 months. Data were collected using Nordic and third version of COPSOO questionnaires and QEC method for assessment of postures during the work. Results: The prevalence of LB and NP in the last 12 months is 58% and 52% respectively. The relationship between risk factors and low back/ neck pain in the last 12 months were cognitive demands (OR 995% CI 1.65) and (OR 995% CI 1.75); Influence at work (OR 995% CI 2.21) and (OR 995% CI 1.85); quality of leadership (OR 995% CI 2.42) and (OR 995% CI 2.09) was strongly correlated with complaints of low back and neck pains. Conclusion: Data of this study showed a higher prevalence of LBP and NP in the subjects. The results revealed that workers with work experience of more than 12 yrs. and who work more than 8 hrs. days with smoking habits had more probability to develop both LBP and NP. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=low%20back%20pain" title="low back pain">low back pain</a>, <a href="https://publications.waset.org/abstracts/search?q=neck%20pain" title=" neck pain"> neck pain</a>, <a href="https://publications.waset.org/abstracts/search?q=physical%20risk%20factors" title=" physical risk factors"> physical risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=psychological%20risk%20factors" title=" psychological risk factors"> psychological risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=QEC" title=" QEC"> QEC</a>, <a href="https://publications.waset.org/abstracts/search?q=COPSOQ%20III" title=" COPSOQ III"> COPSOQ III</a> </p> <a href="https://publications.waset.org/abstracts/151155/physical-and-psychosocial-risk-factors-associated-with-occupational-lower-backneck-pain-among-industrial-workers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/151155.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">91</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14897</span> Risk Assessment of Building Information Modelling Adoption in Construction Projects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amirhossein%20Karamoozian">Amirhossein Karamoozian</a>, <a href="https://publications.waset.org/abstracts/search?q=Desheng%20Wu"> Desheng Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Behzad%20Abbasnejad"> Behzad Abbasnejad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Building information modelling (BIM) is a new technology to enhance the efficiency of project management in the construction industry. In addition to the potential benefits of this useful technology, there are various risks and obstacles to applying it in construction projects. In this study, a decision making approach is presented for risk assessment in BIM adoption in construction projects. Various risk factors of exerting BIM during different phases of the project lifecycle are identified with the help of Delphi method, experts’ opinions and related literature. Afterward, Shannon’s entropy and Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) are applied to derive priorities of the identified risk factors. Results indicated that lack of knowledge between professional engineers about workflows in BIM and conflict of opinions between different stakeholders are the risk factors with the highest priority. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk" title="risk">risk</a>, <a href="https://publications.waset.org/abstracts/search?q=BIM" title=" BIM"> BIM</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20TOPSIS" title=" fuzzy TOPSIS"> fuzzy TOPSIS</a>, <a href="https://publications.waset.org/abstracts/search?q=construction%20projects" title=" construction projects"> construction projects</a> </p> <a href="https://publications.waset.org/abstracts/115013/risk-assessment-of-building-information-modelling-adoption-in-construction-projects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115013.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">229</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14896</span> Ventilator Associated Pneumonia in a Medical Intensive Care Unit, Incidence and Risk Factors: A Case Control Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ammar%20Asma">Ammar Asma</a>, <a href="https://publications.waset.org/abstracts/search?q=Bouafia%20Nabiha"> Bouafia Nabiha</a>, <a href="https://publications.waset.org/abstracts/search?q=Ben%20Cheikh%20Asma"> Ben Cheikh Asma</a>, <a href="https://publications.waset.org/abstracts/search?q=Ezzi%20Olfa"> Ezzi Olfa</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahjoub%20Mohamed"> Mahjoub Mohamed</a>, <a href="https://publications.waset.org/abstracts/search?q=Sma%20Nesrine"> Sma Nesrine</a>, <a href="https://publications.waset.org/abstracts/search?q=Chouch%C3%A8ne%20Imed"> Chouchène Imed</a>, <a href="https://publications.waset.org/abstracts/search?q=Boussarsar%20Hamadi"> Boussarsar Hamadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Njah%20Mansour"> Njah Mansour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Ventilator-associated pneumonia (VAP) is currently recognized as one of the most relevant causes of morbidity and mortality among intensive care unit (ICU) patients worldwide. Identifying modifiable risk factors for VAP could be helpful for future controlled interventional studies aiming at improving prevention of VAP. The purposes of this study were to determine the incidence and risk factors for VAP in in a Tunisian medical ICU. Materials / Methods: A retrospective case-control study design based on the prospective database collected over a 14-month period from September 15th, 2015 through November 15th, 2016 in an 8-bed medical ICU. Patients under ventilation for over 48 h were included. The number of cases was estimated by Epi-info Software with the power of statistical test equal to 90 %. Each case patient was successfully matched to two controls according to the length of mechanical ventilation (MV) before VAP for cases and the total length of MV in controls. VAP in the ICU was defined according to American Thoracic Society; Infectious Diseases Society of America guidelines. Early onset or late-onset VAP were defined whether the infectious process occurred within or after 96 h of ICU admission. Patients’ risk factors, causes of admission, comorbidities and respiratory specimens collected were reviewed. Univariate and multivariate analyses were performed to determine variables associated with VAP with a p-value < 0.05. Results: During the period study, a total of 169 patients under mechanical ventilation were considered, 34 patients (20.11%) developed at least one episode of VAP in the ICU. The incidence rate for VAP was 14.88/1000 ventilation days. Among these cases, 9 (26.5 %) were early-onset VAP and 25 (73.5 %) were late-onset VAP. It was a certain diagnosis in 66.7% of cases. Tracheal aspiration was positive in 80% of cases. Multi-drug resistant Acinerobacter baumanii was the most common species detected in cases; 67.64% (n=23). The rate of mortality out of cases was 88.23% (n= 30). In univariate analysis, the patients with VAP were statistically more likely to suffer from cardiovascular diseases (p=0.035) and prolonged duration of sedation (p=0.009) and tracheostomy (p=0.001), they also had a higher number of re-intubation (p=0.017) and a longer total time of intubation (p=0.012). Multivariate analysis showed that cardiovascular diseases (OR= 4.44; 95% IC= [1.3 - 14]; p=0.016), tracheostomy (OR= 4.2; 95% IC= [1.16 -15.12]; p= 0.028) and prolonged duration of sedation (OR=1.21; 95% IC= [1.07, 1.36]; p=0.002) were independent risk factors for the development of VAP. Conclusion: VAP constitutes a therapeutic challenge in an ICU setting, therefore; strategies that effectively prevent VAP are needed. An infection control-training program intended to all professional heath care in this unit insisting on bundles and elaboration of procedures are planned to reduce effectively incidence rate of VAP. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=case%20control%20study" title="case control study">case control study</a>, <a href="https://publications.waset.org/abstracts/search?q=intensive%20care%20unit" title=" intensive care unit"> intensive care unit</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=ventilator%20associated%20pneumonia" title=" ventilator associated pneumonia"> ventilator associated pneumonia</a> </p> <a href="https://publications.waset.org/abstracts/65606/ventilator-associated-pneumonia-in-a-medical-intensive-care-unit-incidence-and-risk-factors-a-case-control-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65606.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">395</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14895</span> Risk Factors for Defective Autoparts Products Using Bayesian Method in Poisson Generalized Linear Mixed Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pitsanu%20Tongkhow">Pitsanu Tongkhow</a>, <a href="https://publications.waset.org/abstracts/search?q=Pichet%20Jiraprasertwong"> Pichet Jiraprasertwong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research investigates risk factors for defective products in autoparts factories. Under a Bayesian framework, a generalized linear mixed model (GLMM) in which the dependent variable, the number of defective products, has a Poisson distribution is adopted. Its performance is compared with the Poisson GLM under a Bayesian framework. The factors considered are production process, machines, and workers. The products coded RT50 are observed. The study found that the Poisson GLMM is more appropriate than the Poisson GLM. For the production Process factor, the highest risk of producing defective products is Process 1, for the Machine factor, the highest risk is Machine 5, and for the Worker factor, the highest risk is Worker 6. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=defective%20autoparts%20products" title="defective autoparts products">defective autoparts products</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20framework" title=" Bayesian framework"> Bayesian framework</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20linear%20mixed%20model%20%28GLMM%29" title=" generalized linear mixed model (GLMM)"> generalized linear mixed model (GLMM)</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors "> risk factors </a> </p> <a href="https://publications.waset.org/abstracts/10195/risk-factors-for-defective-autoparts-products-using-bayesian-method-in-poisson-generalized-linear-mixed-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10195.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">570</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14894</span> Factors Constraining the Utilization of Risk Management Strategies in the Execution of Public Construction Projects in North East Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20U.%20Kunya">S. U. Kunya</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20A.%20Mohammad"> S. A. Mohammad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Construction projects in Nigeria are characterized with risks emanating from delays and accompanying cost-overruns. The aim of the study was to identify and assess factors constraining the utilization of risk management strategies in the execution of public construction project in North-East Nigeria. Data was collected with the aid of a well-structured questionnaire administered to three identified projects in the North-east. Data collected were analysed using the severity index. Findings revealed political involvement, selection of inexperienced contractors and lack of coordinated public sector strategy as the most severe factors constraining the utilization of risk management strategies. The study recommended that: formulation of laws to prevent negative political meddling in construction projects; selection of experienced, risk-informed contractors; and comprehensive risk assessment and planning on all public construction projects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=factors" title="factors">factors</a>, <a href="https://publications.waset.org/abstracts/search?q=Nigeria" title=" Nigeria"> Nigeria</a>, <a href="https://publications.waset.org/abstracts/search?q=north-east" title=" north-east"> north-east</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20projects" title=" public projects"> public projects</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20management" title=" risk management"> risk management</a>, <a href="https://publications.waset.org/abstracts/search?q=strategies" title=" strategies"> strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=utilization" title=" utilization"> utilization</a> </p> <a href="https://publications.waset.org/abstracts/60305/factors-constraining-the-utilization-of-risk-management-strategies-in-the-execution-of-public-construction-projects-in-north-east-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60305.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">532</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14893</span> Maturity Transformation Risk Factors in Islamic Banking: An Implication of Basel III Liquidity Regulations </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haroon%20Mahmood">Haroon Mahmood</a>, <a href="https://publications.waset.org/abstracts/search?q=Christopher%20Gan"> Christopher Gan</a>, <a href="https://publications.waset.org/abstracts/search?q=Cuong%20Nguyen"> Cuong Nguyen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Maturity transformation risk is highlighted as one of the major causes of recent global financial crisis. Basel III has proposed new liquidity regulations for transformation function of banks and hence to monitor this risk. Specifically, net stable funding ratio (NSFR) is introduced to enhance medium- and long-term resilience against liquidity shocks. Islamic banking is widely accepted in many parts of the world and contributes to a significant portion of the financial sector in many countries. Using a dataset of 68 fully fledged Islamic banks from 11 different countries, over a period from 2005 – 2014, this study has attempted to analyze various factors that may significantly affect the maturity transformation risk in these banks. We utilize 2-step system GMM estimation technique on unbalanced panel and find bank capital, credit risk, financing, size and market power are most significant among the bank specific factors. Also, gross domestic product and inflation are the significant macro-economic factors influencing this risk. However, bank profitability, asset efficiency, and income diversity are found insignificant in determining the maturity transformation risk in Islamic banking model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Basel%20III" title="Basel III">Basel III</a>, <a href="https://publications.waset.org/abstracts/search?q=Islamic%20banking" title=" Islamic banking"> Islamic banking</a>, <a href="https://publications.waset.org/abstracts/search?q=maturity%20transformation%20risk" title=" maturity transformation risk"> maturity transformation risk</a>, <a href="https://publications.waset.org/abstracts/search?q=net%20stable%20funding%20ratio" title=" net stable funding ratio"> net stable funding ratio</a> </p> <a href="https://publications.waset.org/abstracts/57335/maturity-transformation-risk-factors-in-islamic-banking-an-implication-of-basel-iii-liquidity-regulations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57335.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">415</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=heath%20risk%20factors&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=heath%20risk%20factors&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=heath%20risk%20factors&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=heath%20risk%20factors&page=5">5</a></li> <li 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