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identification</title> <meta name="description" content="Search results for: risk identification"> <meta name="keywords" content="risk identification"> <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 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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="risk identification"> <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> 8632</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: risk identification</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8632</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">8631</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">8630</span> Safety of Ports, Harbours, Marine Terminals: Application of Quantitative Risk Assessment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dipak%20Sonawane">Dipak Sonawane</a>, <a href="https://publications.waset.org/abstracts/search?q=Sudarshan%20Daga"> Sudarshan Daga</a>, <a href="https://publications.waset.org/abstracts/search?q=Somesh%20Gupta"> Somesh Gupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Quantitative risk assessment (QRA) is a very precise and consistent approach to defining the likelihood, consequence and severity of a major incident/accident. A variety of hazardous cargoes in bulk, such as hydrocarbons and flammable/toxic chemicals, are handled at various ports. It is well known that most of the operations are hazardous, having the potential of damaging property, causing injury/loss of life and, in some cases, the threat of environmental damage. In order to ensure adequate safety towards life, environment and property, the application of scientific methods such as QRA is inevitable. By means of these methods, comprehensive hazard identification, risk assessment and appropriate implementation of Risk Control measures can be carried out. In this paper, the authors, based on their extensive experience in Risk Analysis for ports and harbors, have exhibited how QRA can be used in practice to minimize and contain risk to tolerable levels. A specific case involving the operation for unloading of hydrocarbon at a port is presented. The exercise provides confidence that the method of QRA, as proposed by the authors, can be used appropriately for the identification of hazards and risk assessment of Ports and Terminals. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=quantitative%20risk%20assessment" title="quantitative risk assessment">quantitative risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=hazard%20assessment" title=" hazard assessment"> hazard assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=consequence%20analysis" title=" consequence analysis"> consequence analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=individual%20risk" title=" individual risk"> individual risk</a>, <a href="https://publications.waset.org/abstracts/search?q=societal%20risk" title=" societal risk"> societal risk</a> </p> <a href="https://publications.waset.org/abstracts/151443/safety-of-ports-harbours-marine-terminals-application-of-quantitative-risk-assessment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/151443.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">80</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">8629</span> Analysis of Risk-Based Disaster Planning in Local Communities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20A.%20Temah">R. A. Temah</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20A.%20Nkengla-Asi"> L. A. Nkengla-Asi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Planning for future disasters sets the stage for a variety of activities that may trigger multiple recurring operations and expose the community to opportunities to minimize risks. Local communities are increasingly embracing the necessity for planning based on local risks, but are also significantly challenged to effectively plan and response to disasters. This research examines basic risk-based disaster planning model and compares it with advanced risk-based planning that introduces the identification and alignment of varieties of local capabilities within and out of the local community that can be pivotal to facilitate the management of local risks and cascading effects prior to a disaster. A critical review shows that the identification and alignment of capabilities can potentially enhance risk-based disaster planning. A tailored holistic approach to risk based disaster planning is pivotal to enhance collective action and a reduction in disaster collective cost<em>.</em> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capabilities" title="capabilities">capabilities</a>, <a href="https://publications.waset.org/abstracts/search?q=disaster%20planning" title=" disaster planning"> disaster planning</a>, <a href="https://publications.waset.org/abstracts/search?q=hazards" title=" hazards"> hazards</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20community" title=" local community"> local community</a>, <a href="https://publications.waset.org/abstracts/search?q=risk-based" title=" risk-based"> risk-based</a> </p> <a href="https://publications.waset.org/abstracts/103690/analysis-of-risk-based-disaster-planning-in-local-communities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103690.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">206</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">8628</span> Fuzzy Inference System for Determining Collision Risk of Ship in Madura Strait Using Automatic Identification System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emmy%20Pratiwi">Emmy Pratiwi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ketut%20B.%20Artana"> Ketut B. Artana</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20B.%20Dinariyana"> A. A. B. Dinariyana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Madura Strait is considered as one of the busiest shipping channels in Indonesia. High vessel traffic density in Madura Strait gives serious threat due to navigational safety in this area, i.e. ship collision. This study is necessary as an attempt to enhance the safety of marine traffic. Fuzzy inference system (FIS) is proposed to calculate risk collision of ships. Collision risk is evaluated based on ship domain, Distance to Closest Point of Approach (DCPA), and Time to Closest Point of Approach (TCPA). Data were collected by utilizing Automatic Identification System (AIS). This study considers several ships’ domain models to give the characteristic of marine traffic in the waterways. Each encounter in the ship domain is analyzed to obtain the level of collision risk. Risk level of ships, as the result in this study, can be used as guidance to avoid the accident, providing brief description about safety traffic in Madura Strait and improving the navigational safety in the area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20identification%20system" title="automatic identification system">automatic identification system</a>, <a href="https://publications.waset.org/abstracts/search?q=collision%20risk" title=" collision risk"> collision risk</a>, <a href="https://publications.waset.org/abstracts/search?q=DCPA" title=" DCPA"> DCPA</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20inference%20system" title=" fuzzy inference system"> fuzzy inference system</a>, <a href="https://publications.waset.org/abstracts/search?q=TCPA" title=" TCPA"> TCPA</a> </p> <a href="https://publications.waset.org/abstracts/61809/fuzzy-inference-system-for-determining-collision-risk-of-ship-in-madura-strait-using-automatic-identification-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61809.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">549</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">8627</span> A Knowledge-Based Development of Risk Management Approaches for Construction Projects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Masoud%20Ghahvechi%20Pour">Masoud Ghahvechi Pour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Risk management is a systematic and regular process of identifying, analyzing and responding to risks throughout the project's life cycle in order to achieve the optimal level of elimination, reduction or control of risk. The purpose of project risk management is to increase the probability and effect of positive events and reduce the probability and effect of unpleasant events on the project. Risk management is one of the most fundamental parts of project management, so that unmanaged or untransmitted risks can be one of the primary factors of failure in a project. Effective risk management does not apply to risk regression, which is apparently the cheapest option of the activity. However, the main problem with this option is the economic sensitivity, because what is potentially profitable is by definition risky, and what does not pose a risk is economically interesting and does not bring tangible benefits. Therefore, in relation to the implemented project, effective risk management is finding a "middle ground" in its management, which includes, on the one hand, protection against risk from a negative direction by means of accurate identification and classification of risk, which leads to analysis And it becomes a comprehensive analysis. On the other hand, management using all mathematical and analytical tools should be based on checking the maximum benefits of these decisions. Detailed analysis, taking into account all aspects of the company, including stakeholder analysis, will allow us to add what will become tangible benefits for our project in the future to effective risk management. Identifying the risk of the project is based on the theory that which type of risk may affect the project, and also refers to specific parameters and estimating the probability of their occurrence in the project. These conditions can be divided into three groups: certainty, uncertainty, and risk, which in turn support three types of investment: risk preference, risk neutrality, specific risk deviation, and its measurement. The result of risk identification and project analysis is a list of events that indicate the cause and probability of an event, and a final assessment of its impact on the environment. <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=management" title=" management"> management</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge" title=" knowledge"> knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20management" title=" risk management"> risk management</a> </p> <a href="https://publications.waset.org/abstracts/178837/a-knowledge-based-development-of-risk-management-approaches-for-construction-projects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178837.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">66</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">8626</span> Risk Assessment for International Investment: A Standardized Approach to Identify Risk, Risk Appetite, Risk Rating, Risk Treatment and Mitigation Plans</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pui%20Yong%20Leo">Pui Yong Leo</a>, <a href="https://publications.waset.org/abstracts/search?q=Normy%20Maziah%20Mohd%20Said"> Normy Maziah Mohd Said</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Change of global economy landscape and business environment has led to companies’ decision to go global and enter international markets. As the companies go beyond the comfort zone (i.e. investing in the home country), it is important to ensure a comprehensive risk assessment is carried out. This paper describes a standardized approach for international investment, ensuring identification of risk, risk appetite, risk rating, risk treatment and mitigation plans for respective international investment proposal. The standardized approach is divided into three (3) stages as follows: Stage 1 – Preliminary Risk profiling; with the objective to gauge exposure to countries and high level risk factors as first level assessment. Stage 2 – Risk Parameters; with the objective to define risk appetite for the international investment from the perspective of likelihood and impact. Stage 3 – Detailed Risk Assessments; with the objectives to assess in detail any triggered elements from Stage 1, and project specific risks. The final output will include the mitigation plans for the identified risks for the total investment. Example will be given in this paper to show how comprehensive risk assessment is carried out for an international investment in power energy sector. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=international%20investment" title="international investment">international investment</a>, <a href="https://publications.waset.org/abstracts/search?q=mitigation%20plans" title=" mitigation plans"> mitigation plans</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20appetite" title=" risk appetite"> risk appetite</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a> </p> <a href="https://publications.waset.org/abstracts/61464/risk-assessment-for-international-investment-a-standardized-approach-to-identify-risk-risk-appetite-risk-rating-risk-treatment-and-mitigation-plans" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61464.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">388</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">8625</span> Theoretical and ML-Driven Identification of a Mispriced Credit Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuri%20Katz">Yuri Katz</a>, <a href="https://publications.waset.org/abstracts/search?q=Kun%20Liu"> Kun Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Arunram%20Atmacharan"> Arunram Atmacharan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to illiquidity, mispricing on Credit Markets is inevitable. This creates huge challenges to banks and investors as they seek to find new ways of risk valuation and portfolio management in a post-credit crisis world. Here, we analyze the difference in behavior of the spread-to-maturity in investment and high-yield categories of US corporate bonds between 2014 and 2023. Deviation from the theoretical dependency of this measure in the universe under study allows to identify multiple cases of mispriced credit risk. Remarkably, we observe mispriced bonds in both categories of credit ratings. This identification is supported by the application of the state-of-the-art machine learning model in more than 90% of cases. Noticeably, the ML-driven model-based forecasting of a category of bond’s credit ratings demonstrate an excellent out-of-sample accuracy (AUC = 98%). We believe that these results can augment conventional valuations of credit portfolios. <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=credit%20ratings" title=" credit ratings"> credit ratings</a>, <a href="https://publications.waset.org/abstracts/search?q=bond%20pricing" title=" bond pricing"> bond pricing</a>, <a href="https://publications.waset.org/abstracts/search?q=spread-to-maturity" title=" spread-to-maturity"> spread-to-maturity</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/171152/theoretical-and-ml-driven-identification-of-a-mispriced-credit-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171152.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">80</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">8624</span> Turkey Disaster Risk Management System Project (TAFRISK)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmet%20Parlak">Ahmet Parlak</a>, <a href="https://publications.waset.org/abstracts/search?q=Celalettin%20Bilgen"> Celalettin Bilgen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to create an effective early warning system, Identification of the risks, preparation and carrying out risk modeling of risk scenarios, taking into account the shortcomings of the old disaster scenarios should be used to improve the system. In the light of this, the importance of risk modeling in creating an effective early warning system is understood. In the scope of TAFRISK project risk modeling trend analysis report on risk modeling developed and a demonstration was conducted for Risk Modeling for flood and mass movements. For risk modeling R&D, studies have been conducted to determine the information, and source of the information, to be gathered, to develop algorithms and to adapt the current algorithms to Turkey’s conditions for determining the risk score in the high disaster risk areas. For each type of the disaster; Disaster Deficit Index (DDI), Local Disaster Index (LDI), Prevalent Vulnerability Index (PVI), Risk Management Index (RMI) have been developed as disaster indices taking danger, sensitivity, fragility, and vulnerability, the physical and economic damage into account in the appropriate scale of the respective type. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disaster" title="disaster">disaster</a>, <a href="https://publications.waset.org/abstracts/search?q=hazard" title=" hazard"> hazard</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20modeling" title=" risk modeling"> risk modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor" title=" sensor"> sensor</a> </p> <a href="https://publications.waset.org/abstracts/38445/turkey-disaster-risk-management-system-project-tafrisk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38445.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">428</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">8623</span> Mitigating Supply Chain Risk for Sustainability Using Big Data Knowledge: Evidence from the Manufacturing Supply Chain</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mani%20Venkatesh">Mani Venkatesh</a>, <a href="https://publications.waset.org/abstracts/search?q=Catarina%20Delgado"> Catarina Delgado</a>, <a href="https://publications.waset.org/abstracts/search?q=Purvishkumar%20Patel"> Purvishkumar Patel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The sustainable supply chain is gaining popularity among practitioners because of increased environmental degradation and stakeholder awareness. On the other hand supply chain, risk management is very crucial for the practitioners as it potentially disrupts supply chain operations. Prediction and addressing the risk caused by social issues in the supply chain is paramount importance to the sustainable enterprise. More recently, the usage of Big data analytics for forecasting business trends has been gaining momentum among professionals. The aim of the research is to explore the application of big data, predictive analytics in successfully mitigating supply chain social risk and demonstrate how such mitigation can help in achieving sustainability (environmental, economic & social). The method involves the identification and validation of social issues in the supply chain by an expert panel and survey. Later, we used a case study to illustrate the application of big data in the successful identification and mitigation of social issues in the supply chain. Our result shows that the company can predict various social issues through big data, predictive analytics and mitigate the social risk. We also discuss the implication of this research to the body of knowledge and practice. <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=sustainability" title=" sustainability"> sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20social%20sustainability" title=" supply chain social sustainability"> supply chain social sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20risk" title=" social risk"> social risk</a>, <a href="https://publications.waset.org/abstracts/search?q=case%20study" title=" case study "> case study </a> </p> <a href="https://publications.waset.org/abstracts/62709/mitigating-supply-chain-risk-for-sustainability-using-big-data-knowledge-evidence-from-the-manufacturing-supply-chain" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62709.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">408</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">8622</span> Prioritization Assessment of Housing Development Risk Factors: A Fuzzy Hierarchical Process-Based Approach </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yusuf%20Garba%20Baba">Yusuf Garba Baba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The construction industry and housing subsector are fraught with risks that have the potential of negatively impacting on the achievement of project objectives. The success or otherwise of most construction projects depends to large extent on how well these risks have been managed. The recent paradigm shift by the subsector to use of formal risk management approach in contrast to hitherto developed rules of thumb means that risks must not only be identified but also properly assessed and responded to in a systematic manner. The study focused on identifying risks associated with housing development projects and prioritisation assessment of the identified risks in order to provide basis for informed decision. The study used a three-step identification framework: review of literature for similar projects, expert consultation and questionnaire based survey to identify potential risk factors. Delphi survey method was employed in carrying out the relative prioritization assessment of the risks factors using computer-based Analytical Hierarchical Process (AHP) software. The results show that 19 out of the 50 risks significantly impact on housing development projects. The study concludes that although significant numbers of risk factors have been identified as having relevance and impacting to housing construction projects, economic risk group and, in particular, ‘changes in demand for houses’ is prioritised by most developers as posing a threat to the achievement of their housing development objectives. Unless these risks are carefully managed, their effects will continue to impede success in these projects. The study recommends the adoption and use of the combination of multi-technique identification framework and AHP prioritization assessment methodology as a suitable model for the assessment of risks in housing development projects. <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%20identification" title=" risk identification"> risk identification</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20analysis" title=" risk analysis"> risk analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchical%20process" title=" analytic hierarchical process"> analytic hierarchical process</a> </p> <a href="https://publications.waset.org/abstracts/108045/prioritization-assessment-of-housing-development-risk-factors-a-fuzzy-hierarchical-process-based-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/108045.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">118</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">8621</span> Risk Measure from Investment in Finance by Value at Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20El-Arbi%20Khalfallah">Mohammed El-Arbi Khalfallah</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Lakhdar%20Hadji"> Mohamed Lakhdar Hadji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Managing and controlling risk is a topic research in the world of finance. Before a risky situation, the stakeholders need to do comparison according to the positions and actions, and financial institutions must take measures of a particular market risk and credit. In this work, we study a model of risk measure in finance: Value at Risk (VaR), which is a new tool for measuring an entity's exposure risk. We explain the concept of value at risk, your average, tail, and describe the three methods for computing: Parametric method, Historical method, and numerical method of Monte Carlo. Finally, we briefly describe advantages and disadvantages of the three methods for computing value at risk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=average%20value%20at%20risk" title="average value at risk">average value at risk</a>, <a href="https://publications.waset.org/abstracts/search?q=conditional%20value%20at%20risk" title=" conditional value at risk"> conditional value at risk</a>, <a href="https://publications.waset.org/abstracts/search?q=tail%20value%20at%20risk" title=" tail value at risk"> tail value at risk</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20at%20risk" title=" value at risk"> value at risk</a> </p> <a href="https://publications.waset.org/abstracts/61669/risk-measure-from-investment-in-finance-by-value-at-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61669.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">441</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">8620</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">8619</span> Non-Performing Assets and Credit Risk Performance: An Evidence of Commercial Banks in India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sirus%20Sharifi">Sirus Sharifi</a>, <a href="https://publications.waset.org/abstracts/search?q=Arunima%20Haldar"> Arunima Haldar</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20V.%20D.%20Nageswara%20Rao"> S. V. D. Nageswara Rao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research analyzes the effect of credit risk management practices of commercial banks in India and the relationship with their non-performing assets (NPAs). Required data on credit risk performance was collected through a survey questionnaire from top risk officers of 38 Indian banks. NPA data (period from 2012 to 2016) was collected from Prowess database compiled by the Centre for Monitoring Indian Economy (CMIE). The model was assessed utilizing cross sectional regression method. As expected, the results indicate a negative significant relationship between credit risk management in India banks and their NPA growth. The research has implications for banks given the high level of losses in India and other economies as well, and the implementation of Basel III standards by the central banks. This research would be an evidence on credit risk performance and its relationship with the level of non-performing assets (NPAs) in Indian banks. <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%20identification" title=" risk identification"> risk identification</a>, <a href="https://publications.waset.org/abstracts/search?q=banks" title=" banks"> banks</a>, <a href="https://publications.waset.org/abstracts/search?q=Non-Performing%20Assets%20%28NPAs%29" title=" Non-Performing Assets (NPAs)"> Non-Performing Assets (NPAs)</a> </p> <a href="https://publications.waset.org/abstracts/77353/non-performing-assets-and-credit-risk-performance-an-evidence-of-commercial-banks-in-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77353.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">264</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">8618</span> Relationship between Growth of Non-Performing Assets and Credit Risk Management Practices in Indian Banks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sirus%20Sharifi">Sirus Sharifi</a>, <a href="https://publications.waset.org/abstracts/search?q=Arunima%20Haldar"> Arunima Haldar</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20V.%20D.%20Nageswara%20Rao"> S. V. D. Nageswara Rao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study attempts to analyze the impact of credit risk management practices of Indian scheduled commercial banks on their non-performing assets (NPAs). The data on credit risk practices was collected by administering a questionnaire to risk managers/executives at different banks. The data on NPAs (from 2012 to 2016) is sourced from Prowess, a database compiled by the Centre for Monitoring Indian Economy (CMIE). The model was estimated using cross-sectional regression method. As expected, the findings suggest that there is a negative relationship between credit risk management and NPA growth in Indian banks. The study has implications for Indian banks given the high level of losses, and the implementation of Basel III norms by the central bank, i.e. Reserve Bank of India (RBI). Evidence on credit risk management in Indian banks, and their relationship with non-performing assets held by them. <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=identification" title=" identification"> identification</a>, <a href="https://publications.waset.org/abstracts/search?q=Indian%20Banks" title=" Indian Banks"> Indian Banks</a>, <a href="https://publications.waset.org/abstracts/search?q=NPAs" title=" NPAs"> NPAs</a>, <a href="https://publications.waset.org/abstracts/search?q=ownership" title=" ownership"> ownership</a> </p> <a href="https://publications.waset.org/abstracts/59779/relationship-between-growth-of-non-performing-assets-and-credit-risk-management-practices-in-indian-banks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59779.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">408</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">8617</span> An Overview of Risk Types and Risk Management Strategies to Improve Financial Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Azar%20Baghtaghi">Azar Baghtaghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Financial risk management is critically important as it enables companies to maintain stability and profitability amidst market fluctuations and unexpected events. It involves the precise identification of risks that could impact investments, assets, and potential revenues. By implementing effective risk management strategies, companies can insure themselves against adverse market changes and prevent potential losses. In today's era, where markets are highly complex and influenced by various factors such as macroeconomic policies, exchange rate fluctuations, and natural disasters, the need for meticulous planning to cope with these uncertainties is more pronounced. Ultimately, financial risk management means being prepared for the future and the ability to sustain business in changing environments. A company capable of managing its risks not only achieves sustainable profitability but also gains the confidence of shareholders, investors, and business partners, enhancing its competitive position in the market. In this article, the types of financial risk and risk management strategies for improving financial performance were investigated. By identifying the risks stated in this article and their evaluation techniques, it is possible to improve the organization's financial performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=strategy" title="strategy">strategy</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=financial%20performance." title=" financial performance."> financial performance.</a> </p> <a href="https://publications.waset.org/abstracts/194012/an-overview-of-risk-types-and-risk-management-strategies-to-improve-financial-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194012.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">9</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">8616</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">8615</span> Re-identification Risk and Mitigation in Federated Learning: Human Activity Recognition Use Case</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Besma%20Khalfoun">Besma Khalfoun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In many current Human Activity Recognition (HAR) applications, users' data is frequently shared and centrally stored by third parties, posing a significant privacy risk. This practice makes these entities attractive targets for extracting sensitive information about users, including their identity, health status, and location, thereby directly violating users' privacy. To tackle the issue of centralized data storage, a relatively recent paradigm known as federated learning has emerged. In this approach, users' raw data remains on their smartphones, where they train the HAR model locally. However, users still share updates of their local models originating from raw data. These updates are vulnerable to several attacks designed to extract sensitive information, such as determining whether a data sample is used in the training process, recovering the training data with inversion attacks, or inferring a specific attribute or property from the training data. In this paper, we first introduce PUR-Attack, a parameter-based user re-identification attack developed for HAR applications within a federated learning setting. It involves associating anonymous model updates (i.e., local models' weights or parameters) with the originating user's identity using background knowledge. PUR-Attack relies on a simple yet effective machine learning classifier and produces promising results. Specifically, we have found that by considering the weights of a given layer in a HAR model, we can uniquely re-identify users with an attack success rate of almost 100%. This result holds when considering a small attack training set and various data splitting strategies in the HAR model training. Thus, it is crucial to investigate protection methods to mitigate this privacy threat. Along this path, we propose SAFER, a privacy-preserving mechanism based on adaptive local differential privacy. Before sharing the model updates with the FL server, SAFER adds the optimal noise based on the re-identification risk assessment. Our approach can achieve a promising tradeoff between privacy, in terms of reducing re-identification risk, and utility, in terms of maintaining acceptable accuracy for the HAR model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=federated%20learning" title="federated learning">federated learning</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy%20risk%20assessment" title=" privacy risk assessment"> privacy risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=re-identification%20risk" title=" re-identification risk"> re-identification risk</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy%20preserving%20mechanisms" title=" privacy preserving mechanisms"> privacy preserving mechanisms</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20differential%20privacy" title=" local differential privacy"> local differential privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20activity%20recognition" title=" human activity recognition"> human activity recognition</a> </p> <a href="https://publications.waset.org/abstracts/192534/re-identification-risk-and-mitigation-in-federated-learning-human-activity-recognition-use-case" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192534.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">11</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">8614</span> Hybrid Risk Assessment Model for Construction Based on Multicriteria Decision Making Methods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20Tamosaitiene">J. Tamosaitiene</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The article focuses on the identification and classification of key risk management criteria that represent the most important sustainability aspects of the construction industry. The construction sector is one of the most important sectors in Lithuania. Nowadays, the assessment of the risk level of a construction project is especially important for the quality of construction projects, the growth of enterprises and the sector. To establish the most important criteria for successful growth of the sector, a questionnaire for experts was developed. The analytic hierarchy process (AHP), the expert judgement method and other multicriteria decision making (MCDM) methods were used to develop the hybrid model. The results were used to develop an integrated knowledge system for the measurement of a risk level particular to construction projects. The article presents a practical case that details the developed system, sustainable aspects, and risk assessment. <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=system" title=" system"> system</a>, <a href="https://publications.waset.org/abstracts/search?q=model" title=" model"> model</a>, <a href="https://publications.waset.org/abstracts/search?q=construction" title=" construction"> construction</a> </p> <a href="https://publications.waset.org/abstracts/102917/hybrid-risk-assessment-model-for-construction-based-on-multicriteria-decision-making-methods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102917.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">167</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">8613</span> Research on the Cognition and Actual Phenomenon of School Bullying from the Perspective of Students</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chia-Chun%20Wu">Chia-Chun Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu-Hsien%20Sung"> Yu-Hsien Sung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to examine the consistency between students’ predictions and their actual observations on the bullying prevalence rate among different types of high-risk victims, thereby clarifying the reliability of students’ reports on the identification of bullying. A total of 1,732 Taiwanese students (734 males and 998 females) participated in this study. A Rasch model was adopted for data analysis. The results showed that students with “personality or behavioral issues” are more likely to be bullied in schools, based on both students’ predictions and actual observations. Moreover, the results differed significantly between genders and between various educational levels in students’ predictions and their actual observations on the bullying prevalence rate of different types of high-risk victims. To summarize, this study not only suggests that students’ reports on the identification of bullying are accurate and could be a valuable reference in terms of recognizing a bullying incident, but it also argues that more attention should be paid to students’ gender and educational level when taking their perspectives into consideration when it comes to identifying bullying behaviors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=school%20bullying" title="school bullying">school bullying</a>, <a href="https://publications.waset.org/abstracts/search?q=student" title=" student"> student</a>, <a href="https://publications.waset.org/abstracts/search?q=bullying%20recognition" title=" bullying recognition"> bullying recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=high-risk%20victims" title=" high-risk victims"> high-risk victims</a> </p> <a href="https://publications.waset.org/abstracts/156359/research-on-the-cognition-and-actual-phenomenon-of-school-bullying-from-the-perspective-of-students" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156359.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">84</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">8612</span> Potential Ecological Risk Assessment of Selected Heavy Metals in Sediments of Tidal Flat Marsh, the Case Study: Shuangtai Estuary, China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chang-Fa%20Liu">Chang-Fa Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-Ting%20Wang"> Yi-Ting Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Liu"> Yuan Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hai-Feng%20Wei"> Hai-Feng Wei</a>, <a href="https://publications.waset.org/abstracts/search?q=Lei%20Fang"> Lei Fang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20Li"> Jin Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Heavy metals in sediments can cause adverse ecological effects while it exceeds a given criteria. The present study investigated sediment environmental quality, pollutant enrichment, ecological risk, and source identification for copper, cadmium, lead, zinc, mercury, and arsenic in the sediments collected from tidal flat marsh of Shuangtai estuary, China. The arithmetic mean integrated pollution index, geometric mean integrated pollution index, fuzzy integrated pollution index, and principal component score were used to characterize sediment environmental quality; fuzzy similarity and geo-accumulation Index were used to evaluate pollutant enrichment; correlation matrix, principal component analysis, and cluster analysis were used to identify source of pollution; environmental risk index and potential ecological risk index were used to assess ecological risk. The environmental qualities of sediment are classified to very low degree of contamination or low contamination. The similar order to element background of soil in the Liaohe plain is region of Sanjiaozhou, Honghaitan, Sandaogou, Xiaohe by pollutant enrichment analysis. The source identification indicates that correlations are significantly among metals except between copper and cadmium. Cadmium, lead, zinc, mercury, and arsenic will be clustered in the same clustering as the first principal component. Copper will be clustered as second principal component. The environmental risk assessment level will be scaled to no risk in the studied area. The order of potential ecological risk is As > Cd > Hg > Cu > Pb > Zn. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ecological%20risk%20assessment" title="ecological risk assessment">ecological risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metals" title=" heavy metals"> heavy metals</a>, <a href="https://publications.waset.org/abstracts/search?q=sediment" title=" sediment"> sediment</a>, <a href="https://publications.waset.org/abstracts/search?q=marsh" title=" marsh"> marsh</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuangtai%20estuary" title=" Shuangtai estuary"> Shuangtai estuary</a> </p> <a href="https://publications.waset.org/abstracts/48963/potential-ecological-risk-assessment-of-selected-heavy-metals-in-sediments-of-tidal-flat-marsh-the-case-study-shuangtai-estuary-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48963.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">347</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">8611</span> Spatial-Temporal Awareness Approach for Extensive Re-Identification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tyng-Rong%20Roan">Tyng-Rong Roan</a>, <a href="https://publications.waset.org/abstracts/search?q=Fuji%20Foo"> Fuji Foo</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenwey%20Hseush"> Wenwey Hseush</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recent development of AI and edge computing plays a critical role to capture meaningful events such as detection of an unattended bag. One of the core problems is re-identification across multiple CCTVs. Immediately following the detection of a meaningful event is to track and trace the objects related to the event. In an extensive environment, the challenge becomes severe when the number of CCTVs increases substantially, imposing difficulties in achieving high accuracy while maintaining real-time performance. The algorithm that re-identifies cross-boundary objects for extensive tracking is referred to Extensive Re-Identification, which emphasizes the issues related to the complexity behind a great number of CCTVs. The Spatial-Temporal Awareness approach challenges the conventional thinking and concept of operations which is labor intensive and time consuming. The ability to perform Extensive Re-Identification through a multi-sensory network provides the next-level insights – creating value beyond traditional risk management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=long-short-term%20memory" title="long-short-term memory">long-short-term memory</a>, <a href="https://publications.waset.org/abstracts/search?q=re-identification" title=" re-identification"> re-identification</a>, <a href="https://publications.waset.org/abstracts/search?q=security%20critical%20application" title=" security critical application"> security critical application</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial-temporal%20awareness" title=" spatial-temporal awareness"> spatial-temporal awareness</a> </p> <a href="https://publications.waset.org/abstracts/123846/spatial-temporal-awareness-approach-for-extensive-re-identification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123846.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">112</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">8610</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">8609</span> A Risk-Based Approach to Construction Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chloe%20E.%20Edwards">Chloe E. Edwards</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasaman%20Shahtaheri"> Yasaman Shahtaheri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Risk management plays a fundamental role in project planning and delivery. The purpose of incorporating risk management into project management practices is to identify and address uncertainties related to key project-related activities. The uncertainties, known as risk events, can relate to project deliverables that are quantifiable and are often measured by impact to project schedule, cost, or environmental impact. Risk management should be incorporated as an iterative practice throughout the planning, execution, and commissioning phases of a project. This paper specifically examines how risk management contributes to effective project planning and delivery through a case study of a transportation project. This case study focused solely on impacts to project schedule regarding three milestones: readiness for delivery, readiness for testing and commissioning, and completion of the facility. The case study followed the ISO 31000: Risk Management – Guidelines. The key factors that are outlined by these guidelines include understanding the scope and context of the project, conducting a risk assessment including identification, analysis, and evaluation, and lastly, risk treatment through mitigation measures. This process requires continuous consultation with subject matter experts and monitoring to iteratively update the risks accordingly. The risk identification process led to a total of fourteen risks related to design, permitting, construction, and commissioning. The analysis involved running 1,000 Monte Carlo simulations through @RISK 8.0 Industrial software to determine potential milestone completion dates based on the project baseline schedule. These dates include the best case, most likely case, and worst case to provide an estimated delay for each milestone. Evaluation of these results provided insight into which risks were the highest contributors to the projected milestone completion dates. Based on the analysis results, the risk management team was able to provide recommendations for mitigation measures to reduce the likelihood of risks occurring. The risk management team also provided recommendations for managing the identified risks and project activities moving forward to meet the most likely or best-case milestone completion dates. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=construction%20management" title="construction management">construction management</a>, <a href="https://publications.waset.org/abstracts/search?q=monte%20carlo%20simulation" title=" monte carlo simulation"> monte carlo simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20delivery" title=" project delivery"> project delivery</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20engineering" title=" transportation engineering"> transportation engineering</a> </p> <a href="https://publications.waset.org/abstracts/138050/a-risk-based-approach-to-construction-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/138050.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">107</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">8608</span> An Evaluative Microbiological Risk Assessment of Drinking Water Supply in the Carpathian Region: Identification of Occurrent Hazardous Bacteria with Quantitative Microbial Risk Assessment Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anik%C3%B3%20Kaluzsa">Anikó Kaluzsa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The article's author aims to introduce and analyze those microbiological safety hazards which indicate the presence of secondary contamination in the water supply system. Since drinking water belongs to primary foods and is the basic condition of life, special attention should be paid on its quality. There are such indicators among the microbiological features can be found in water, which are clear evidence of the presence of water contamination, and based on this there is no need to perform other diagnostics, because they prove properly the contamination of the given water supply section. Laboratory analysis can help - both technologically and temporally – to identify contamination, but it does matter how long takes the removal and if the disinfection process takes place in time. The identification of the factors that often occur in the same places or the chance of their occurrence is greater than the average, facilitates our work. The pathogen microbiological risk assessment by the help of several features determines the most likely occurring microbiological features in the Carpathian basin. From among all the microbiological indicators, that are recommended targets for routine inspection by the World Health Organization, there is a paramount importance of the appearance of Escherichia coli in the water network, as its presence indicates the potential ubietiy of enteric pathogens or other contaminants in the water network. In addition, the author presents the steps of microbiological risk assessment analyzing those pathogenic micro-organisms registered to be the most critical. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drinking%20water" title="drinking water">drinking water</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20coli" title=" E. coli"> E. coli</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiological%20indicators" title=" microbiological indicators"> microbiological indicators</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20safety%20plan" title=" water safety plan"> water safety plan</a> </p> <a href="https://publications.waset.org/abstracts/62971/an-evaluative-microbiological-risk-assessment-of-drinking-water-supply-in-the-carpathian-region-identification-of-occurrent-hazardous-bacteria-with-quantitative-microbial-risk-assessment-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62971.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">333</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">8607</span> Workplace Risk Assessment in a Paint Factory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rula%20D.%20Alshareef">Rula D. Alshareef</a>, <a href="https://publications.waset.org/abstracts/search?q=Safa%20S.%20Alqathmi"> Safa S. Alqathmi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ghadah%20K.%20Alkhouldi"> Ghadah K. Alkhouldi</a>, <a href="https://publications.waset.org/abstracts/search?q=Reem%20O.%20Bagabas"> Reem O. Bagabas</a>, <a href="https://publications.waset.org/abstracts/search?q=Farheen%20B.%20Hasan"> Farheen B. Hasan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Safety engineering is among the most crucial considerations in any work environment. Providing mentally, physically, and environmentally safe work conditions must be the top priority of any successful organization. Company X is a local paint production company in Saudi Arabia; in a month, the factory experienced two significant accidents, which indicates that workers’ safety is overlooked. The aim of the research is to examine the risks, assess the root causes and recommend control measures that will eventually contribute to providing a safe workplace. The methodology used is sectioned into three phases, risk identification, assessment, and finally, mitigation. In the identification phase, the team used Rapid Entire Body Assessment (REBA) and National Institute for Occupational Safety and Health Lifting Index (NIOSH LI) tools to holistically establish knowledge about the current risk posed to the factory. The physical hazards in the factory were assessed in two different operations, which are mixing and filling/packaging. For the risk assessment phase, the hazards were deeply analyzed through their severity and impact. Additionally, through risk mitigation, the Rapid Entire Body Assessment (REBA) score decreased from 11 to 7, and the National Institute for Occupational Safety and Health Lifting Index (NIOSH LI) has been reduced from 5.27 to 1.85. <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=workplace%20risks" title=" workplace risks"> workplace risks</a>, <a href="https://publications.waset.org/abstracts/search?q=hazards" title=" hazards"> hazards</a>, <a href="https://publications.waset.org/abstracts/search?q=awkward%20posture" title=" awkward posture"> awkward posture</a>, <a href="https://publications.waset.org/abstracts/search?q=fatigue" title=" fatigue"> fatigue</a>, <a href="https://publications.waset.org/abstracts/search?q=work%20environment" title=" work environment"> work environment</a> </p> <a href="https://publications.waset.org/abstracts/167140/workplace-risk-assessment-in-a-paint-factory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167140.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">79</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">8606</span> Risk Management in Industrial Supervision Projects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=%C3%89rick%20Arag%C3%A3o%20Ribeiro">Érick Aragão Ribeiro</a>, <a href="https://publications.waset.org/abstracts/search?q=George%20Andr%C3%A9%20Pereira%20Th%C3%A9"> George André Pereira Thé</a>, <a href="https://publications.waset.org/abstracts/search?q=Jos%C3%A9%20Marques%20Soares"> José Marques Soares</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Several problems in industrial supervision software development projects may lead to the delay or cancellation of projects. These problems can be avoided or contained by using identification methods, analysis and control of risks. These procedures can give an overview of the possible problems that can happen in the projects and what are the immediate solutions. Therefore, we propose a risk management method applied to the teaching and development of industrial supervision software. The method is developed through a literature review and previous projects can be divided into phases of management and have basic features that are validated with experimental research carried out by mechatronics engineering students and professionals. The management is conducted through the stages of identification, analysis, planning, monitoring, control and communication of risks. Programmers use a method of prioritizing risks considering the gravity and the possibility of occurrence of the risk. The outputs of the method indicate which risks occurred or are about to happen. The first results indicate which risks occur at different stages of the project and what risks have a high probability of occurring. The results show the efficiency of the proposed method compared to other methods, showing the improvement of software quality and leading developers in their decisions. This new way of developing supervision software helps students identify design problems, evaluate software developed and propose effective solutions. We conclude that the risk management optimizes the development of the industrial process control software and provides higher quality to the product. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=supervision%20software" title="supervision software">supervision software</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=industrial%20supervision" title=" industrial supervision"> industrial supervision</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20management" title=" project management"> project management</a> </p> <a href="https://publications.waset.org/abstracts/41011/risk-management-in-industrial-supervision-projects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41011.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">356</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">8605</span> Towards Conservation and Recovery of Species at Risk in Ontario: Progress on Recovery Planning and Implementation and an Overview of Key Research Needs </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rachel%20deCatanzaro">Rachel deCatanzaro</a>, <a href="https://publications.waset.org/abstracts/search?q=Madeline%20Austen"> Madeline Austen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ken%20Tuininga"> Ken Tuininga</a>, <a href="https://publications.waset.org/abstracts/search?q=Kathy%20St.%20Laurent"> Kathy St. Laurent</a>, <a href="https://publications.waset.org/abstracts/search?q=Christina%20Rohe"> Christina Rohe </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Canada, the federal Species at Risk Act (SARA) provides protection for wildlife species at risk and a national legislative framework for the conservation or recovery of species that are listed as endangered, threatened, or special concern under Schedule 1 of SARA. Key aspects of the federal species at risk program include the development of recovery documents (recovery strategies, action plans, and management plans) outlining threats, objectives, and broad strategies or measures for conservation or recovery of the species; the identification and protection of critical habitat for threatened and endangered species; and working with groups and organizations to implement on-the-ground recovery actions. Environment Canada’s progress on the development of recovery documents and on the identification and protection of critical habitat in Ontario will be presented, along with successes and challenges associated with on-the ground implementation of recovery actions. In Ontario, Environment Canada is currently involved in several recovery and monitoring programs for at-risk bird species such as the Loggerhead Shrike, Piping Plover, Golden-winged Warbler and Cerulean Warbler and has provided funding for a wide variety of recovery actions targeting priority species at risk and geographic areas each year through stewardship programs including the Habitat Stewardship Program, Aboriginal Fund for Species at Risk, and the Interdepartmental Recovery Fund. Key research needs relevant to the recovery of species at risk have been identified, and include: surveys and monitoring of population sizes and threats, population viability analyses, and addressing knowledge gaps identified for individual species (e.g., species biology and habitat needs). The engagement of all levels of government, the local and international conservation communities, and the scientific research community plays an important role in the conservation and recovery of species at risk in Ontario– through surveying and monitoring, filling knowledge gaps, conducting public outreach, and restoring, protecting, or managing habitat – and will be critical to the continued success of the federal species at risk program. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conservation%20biology" title="conservation biology">conservation biology</a>, <a href="https://publications.waset.org/abstracts/search?q=habitat%20protection" title=" habitat protection"> habitat protection</a>, <a href="https://publications.waset.org/abstracts/search?q=species%20at%20risk" title=" species at risk"> species at risk</a>, <a href="https://publications.waset.org/abstracts/search?q=wildlife%20recovery" title=" wildlife recovery"> wildlife recovery</a> </p> <a href="https://publications.waset.org/abstracts/22960/towards-conservation-and-recovery-of-species-at-risk-in-ontario-progress-on-recovery-planning-and-implementation-and-an-overview-of-key-research-needs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22960.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">8604</span> Disability, Stigma and In-Group Identification: An Exploration across Different Disability Subgroups</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sharmila%20Rathee">Sharmila Rathee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Individuals with disability/ies often face negative attitudes, discrimination, exclusion, and inequality of treatment due to stigmatization and stigmatized treatment. While a significant number of studies in field of stigma suggest that group-identification has positive consequences for stigmatized individuals, ironically very miniscule empirical work in sight has attempted to investigate in-group identification as a coping measure against stigma, humiliation and related experiences among disability group. In view of death of empirical research on in-group identification among disability group, through present work, an attempt has been made to examine the experiences of stigma, humiliation, and in-group identification among disability group. Results of the study suggest that use of in-group identification as a coping strategy is not uniform across members of disability group and degree of in-group identification differs across different sub-groups of disability groups. Further, in-group identification among members of disability group depends on variables like degree and impact of disability, factors like onset of disability, nature, and visibility of disability, educational experiences and resources available to deal with disabling conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disability" title="disability">disability</a>, <a href="https://publications.waset.org/abstracts/search?q=stigma" title=" stigma"> stigma</a>, <a href="https://publications.waset.org/abstracts/search?q=in-group%20identification" title=" in-group identification"> in-group identification</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20identity" title=" social identity"> social identity</a> </p> <a href="https://publications.waset.org/abstracts/48888/disability-stigma-and-in-group-identification-an-exploration-across-different-disability-subgroups" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48888.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">324</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">8603</span> The Psychosis Prodrome: Biomarkers of the Glutamatergic System and Their Potential Role in Prediction and Treatment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Peter%20David%20Reiss">Peter David Reiss</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The concept of the psychosis prodrome has allowed for the identification of adolescent and young adult patients who have a significantly elevated risk of developing schizophrenia spectrum disorders. A number of different interventions have been tested in order to prevent or delay progression of symptoms. To date, there has been no consistent meta-analytical evidence to support efficacy of antipsychotic treatment for patients in the prodromal state, and their use remains therefore inconclusive. Although antipsychotics may manage symptoms transiently, they have not been found to prevent or delay onset of psychotic disorders. Furthermore, pharmacological intervention in high-risk individuals remains controversial, because of the antipsychotic side effect profile in a population in which only about 20 to 35 percent will eventually convert to psychosis over a two-year period, with even after two years conversion rates not exceeding 30 to 40 percent. This general estimate is additionally problematic, in that it ignores the fact that there is significant variation in individual risk among clinical high-risk cases. The current lack of reliable tests for at-risk patients makes it difficult to justify individual treatment decisions. Preventive treatment should ideally be dictated by an individual’s risk while minimizing potentially harmful medication exposure. This requires more accurate predictive assessments by using valid and accessible prognostic markers. The following will compare prediction and risk modification potential of behavioral biomarkers such as disturbances of basic sense of self and emotion awareness, neurocognitive biomarkers such as attention, working and declarative memory, and neurophysiological biomarkers such as glutamatergic abnormalities and NMDA receptor dysfunction. Identification of robust biomarkers could therefore not only provide more reliable means of psychosis prediction, but also help test and develop new clinical interventions targeted at the prodromal state. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=at-risk%20mental%20state" title="at-risk mental state">at-risk mental state</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=glutamatergic%20system" title=" glutamatergic system"> glutamatergic system</a>, <a href="https://publications.waset.org/abstracts/search?q=NMDA%20receptor" title=" NMDA receptor"> NMDA receptor</a>, <a href="https://publications.waset.org/abstracts/search?q=psychosis%20prodrome" title=" psychosis prodrome"> psychosis prodrome</a>, <a href="https://publications.waset.org/abstracts/search?q=schizophrenia" title=" schizophrenia"> schizophrenia</a> </p> <a href="https://publications.waset.org/abstracts/75698/the-psychosis-prodrome-biomarkers-of-the-glutamatergic-system-and-their-potential-role-in-prediction-and-treatment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75698.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">195</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=risk%20identification&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=risk%20identification&page=3">3</a></li> <li class="page-item"><a class="page-link" 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