Public health assessment : Stanton Cleaners area groundwater contamination site : Great Neck, Nassau County, New York /

"November 30, 2005; CERCLIS No. NYD047650197."

Health assessment for Frink's Industrial Waste, Pecatonica, Illinois /

Cover title: Health assessment, Frink's Industrial Waste, Pecatonica, Illinois.

Mollusca Non-Grata: The influence of top-down control and residence time on the abundance, distribution, and behavior of non-native marine snails in Washington State

Thesis (Ph.D.)--University of Washington, 2016-06

Action research to explore perceptions of risk in project management

Uses research in a major UK company on the introduction of an electronic document management system to explore perceptions of, and attitudes to, risk. Phenomenological methods were used; with subsequent dialogue transcripts evaluated with Winmax dialogue software, using an adapted theoretical framework based upon an analysis of the literature. The paper identifies a number of factors, and builds a framework, that should support a greater understanding of risk assessment and project management by the academic community and practitioners.

Use of tissue Doppler imaging to facilitate the prediction of events in patients with abnormal left ventricular function dobutamine echocardiography

The extent of abnormality in patients with positive do-butamine echocardiography (DE) is predictive of risk, but the wall motion score (WMS) has low concordance among observers. We sought whether quantifying the extent of abnormal wall motion using tissue Doppler (TD) could guide risk assessment in patients with abnormal DE in 576 patients with known or suspected coronary artery disease; standard DE was combined with color TD imaging at peak dose. WMS was assessed by an expert observer and studies were identified as abnormal in the presence of 2:1 segments with resting or stress-induced wall motion abnormalities. Patients with abnormal DE had peak systolic velocity measured in each segment. Tissue tracking was used to measure myocardial displacement. Follow-up for death or infarction was per-formed after. 16 +/- 12 months. Of 251 patients with abnormal DE, 22 patients died (20 from cardiac causes) and 7 had nonfatal myocardial infarctionis. The average WMS in patients with events was 1.8 +/- 0.5, compared with 1.7 +/- 0.5 in patients without events (p = NS). The average systolic velocity in patients with events was 4.9 +/- 1.7 cm/s and 6.4 +/- 6.5 cm/s in the patients without events (p <0.001). The average tissue tracking in patients with events was 4.5 +/- 1.5 mm and was significant. (5.7 +/- 3.1 mm),in those,without events (p <0.001). Thus, TD is an alternative to WMS for quantifying the total extent of abnormal left ventricular function-at DE, and appears to be superior for predicting adverse outcomes. (C) 2004 by Excerpta Medica, Inc.

Cardiovascular risk estimation by professionally active cardiovascular nurses: Results from the Basel 2005 Nurses Cohort

Background Nurses play a key role in the prevention of cardiovascular disease (CVD) and one would, therefore, expect them to have a heightened awareness of the need for systematic screening and their own CVD risk profile. The aim of this study was to examine personal awareness of CVD risk among a cohort of cardiovascular nurses attending a European conference. Methods Of the 340 delegates attending the 5th annual Spring Meeting on Cardiovascular Nursing (Basel, Switzerland, 2005), 287 (83%) completed a self-report questionnaire to assess their own risk factors for CVD. Delegates were also asked to give an estimation of their absolute total risk of experiencing a fatal CVD event in the next 10 years. Level of agreement between self-reported CVD risk estimation and their actual risk according to the SCORE risk assessment system was compared by calculating weighted Kappa (κw). Results Overall, 109 responders (38%) self-reported having either pre-existing CVD (only 2%), one or more markedly raised CVD risk factors, a high total risk of fatal CVD (≥ 5% in 10 years) or a strong family history of CVD. About half of this cohort (53%) did not know their own total cholesterol level. Less than half (45%) reported having a 10-year risk of fatal CVD of < 1%, while 13% reported having a risk ≥ 5%. Based on the SCORE risk function, the estimated 10-year risk of a fatal CVD event was < 1% for 96% of responders: only 2% had a ≥ 5% risk of such an event. Overall, less than half (46%) of this cohort's self-reported CVD risk corresponded with that calculated using the SCORE risk function (κw = 0.27). Conclusion Most cardiovascular nurses attending a European conference in 2005 poorly understood their own CVD risk profile, and the agreement between their self-reported 10-year risk of a fatal CVD and their CVD risk using SCORE was only fair. Given the specialist nature of this conference, our findings clearly demonstrate a need to improve overall nursing awareness of the role and importance of systematic CVD risk assessment.

Multidimensional analysis of perceived risk in commercial air travel

This study attempts to assess the role of perceived risk in air passenger behaviour. A survey of 889 respondents is used to investigate a multidimensional concept of perceived risk and to analyse the differences between socio-demographic characteristics regarding passengers' risk assessment. The results indicate that financial risk and temporal risk are the most important in the context of commercial air travel. All perceived risk dimensions differ according gender, age, cultural background, income, previous experience, and reason for travelling. (C) 2006 Elsevier Ltd. All rights reserved.

Quantification of geological uncertainty and risk using stochastic simulation and applications in the coal mining industry

Stochastic simulation is a recognised tool for quantifying the spatial distribution of geological uncertainty and risk in earth science and engineering. Metals mining is an area where simulation technologies are extensively used; however, applications in the coal mining industry have been limited. This is particularly due to the lack of a systematic demonstration illustrating the capabilities these techniques have in problem solving in coal mining. This paper presents two broad and technically distinct areas of applications in coal mining. The first deals with the use of simulation in the quantification of uncertainty in coal seam attributes and risk assessment to assist coal resource classification, and drillhole spacing optimisation to meet pre-specified risk levels at a required confidence. The second application presents the use of stochastic simulation in the quantification of fault risk, an area of particular interest to underground coal mining, and documents the performance of the approach. The examples presented demonstrate the advantages and positive contribution stochastic simulation approaches bring to the coal mining industry

A aplicação do Gerenciamento de Riscos nas PMEs na cidade de São Bernardo do Campo

Este estudo analisa a utilização do gerenciamento de riscos em algumas Empresas de Pequeno e Médio Porte (PMEs) na cidade de São Bernardo do Campo. A análise do risco empresarial possui uma crescente importância e ela pode contribuir fortemente para a continuidade dos negócios. A capacidade para gerenciar os riscos do negócio em relação ás inevitáveis incertezas e com uma valorização futura dos resultados é um fator substancial de vantagem competitiva. Este processo de geração de valor providencia a disciplina e ferramentas de administração dos riscos empresariais permitindo a criação de valor para sua organização. As Metodologias de Análise de Risco, em sua maioria, são aplicadas para grandes corporações. Uma das motivações desse trabalho é verificar o grau de utilidade dessas metodologias para as empresas PMEs escolhidas para a pesquisa em São Bernardo do Campo. O estudo é desenvolvido por meio de pesquisas bibliográficas e pesquisa exploratória nas empresas escolhidas. Após as pesquisas, foi feita uma análise qualitativa utilizando o método de estudo de casos. Finalmente, conclui-se que as empresas pesquisadas de São Bernardo do Campo, podem obter vantagens significativas ao implantar metodologias de gerenciamento de risco. Todas as empresas pesquisadas possuem mais de dez anos e consideram importante controlar a continuidade de seus negócios.

UMA ANÁLISE DA RELAÇÃO ENTRE VARIÁVEIS MACROECONÔMICAS E O COMPORTAMENTO DAS AÇÕES DE MAIOR LIQUIDEZ DO ÍNDICE IBOVESPA

As ações de maior liquidez do índice IBOVESPA, refletem o comportamento das ações de um modo geral, bem como a relação das variáveis macroeconômicas em seu comportamento e estão entre as mais negociadas no mercado de capitais brasileiro. Desta forma, pode-se entender que há reflexos de fatores que impactam as empresas de maior liquidez que definem o comportamento das variáveis macroeconômicas e que o inverso também é uma verdade, oscilações nos fatores macroeconômicos também afetam as ações de maior liquidez, como IPCA, PIB, SELIC e Taxa de Câmbio. O estudo propõe uma análise da relação existente entre variáveis macroeconômicas e o comportamento das ações de maior liquidez do índice IBOVESPA, corroborando com estudos que buscam entender a influência de fatores macroeconômicos sobre o preço de ações e contribuindo empiricamente com a formação de portfólios de investimento. O trabalho abrangeu o período de 2008 a 2014. Os resultados concluíram que a formação de carteiras, visando a proteção do capital investido, deve conter ativos com correlação negativa em relação às variáveis estudadas, o que torna possível a composição de uma carteira com risco reduzido.

A facial expression for anxiety

Anxiety and fear are often confounded in discussions of human emotions. However, studies of rodent defensive reactions under naturalistic conditions suggest anxiety is functionally distinct from fear. Unambiguous threats, such as predators, elicit flight from rodents (if an escape-route is available), whereas ambiguous threats (e.g., the odor of a predator) elicit risk assessment behavior, which is associated with anxiety as it is preferentially modulated by anti-anxiety drugs. However, without human evidence, it would be premature to assume that rodent-based psychological models are valid for humans. We tested the human validity of the risk assessment explanation for anxiety by presenting 8 volunteers with emotive scenarios and asking them to pose facial expressions. Photographs and videos of these expressions were shown to 40 participants who matched them to the scenarios and labeled each expression. Scenarios describing ambiguous threats were preferentially matched to the facial expression posed in response to the same scenario type. This expression consisted of two plausible environmental-scanning behaviors (eye darts and head swivels) and was labeled as anxiety, not fear. The facial expression elicited by unambiguous threat scenarios was labeled as fear. The emotion labels generated were then presented to another 18 participants who matched them back to photographs of the facial expressions. This back-matching of labels to faces also linked anxiety to the environmental-scanning face rather than fear face. Results therefore suggest that anxiety produces a distinct facial expression and that it has adaptive value in situations that are ambiguously threatening, supporting a functional, risk-assessing explanation for human anxiety.

Managing risk in information technology projects

There are several studies on managing risks in information technology (IT) projects. Most of the studies identify and prioritise risks through empirical research in order to suggest mitigating measures. Although they are important to clients for future projects, these studies fail to provide any framework for risk management from IT developers' perspective. Although a few studies introduced a framework of risk management in IT projects, most of them are presented from clients' perspectives and very little effort has been made to integrate this with the project management cycle. As IT developers absorb a considerable amount of risk, an integrated framework for managing risks in IT projects from developers' perspective is needed in order to ensure success in IT projects. The main objective of the paper is to develop a risk management framework for IT projects from the developers' perspective. This study uses a combined qualitative and quantitative technique with the active involvement of stakeholders in order to identify, analyse and respond to risks. The entire methodology has been explained using a case study on an information technology project in a public sector organisation in Barbados.

Risk management in build-operate-transfer projects

Construction projects are risky. A build-operate-transfer (BOT) project is recognised as one of the most risky project schemes. This scheme has been employed rather frequently in the past few decades, in both developed and developing countries. However, because of its risky nature, there have been failures as well as successes. Risk analysis in an appropriate way is desirable in implementing BOT projects. There are various tools and techniques applicable to risk analysis. The application of these risk analysis tools and techniques (RATTs) to BOT projects depends on an understanding of the contents and contexts of BOT projects, together with a thorough understanding of RATTs. This paper studies key points in their applications through reviews of relevant literatures and discusses the application of RATTs to BOT projects. The application to BOT projects is considered from the viewpoints of the major project participants, i.e. government, lenders and project companies. Discussion is also made with regard to political risks, which are very important in BOT projects. A flow chart has been introduced to select an appropriate tool for risk management in BOT projects. This study contributes to the establishment of a framework for systematic risk management in BOT projects.

Risk based decision support system for effective implementation of projects

Conventional project management techniques are not always sufficient to ensure time, cost and quality achievement of large-scale construction projects due to complexity in planning, design and implementation processes. The main reasons for project non-achievement are changes in scope and design, changes in government policies and regulations, unforeseen inflation, underestimation and improper estimation. Projects that are exposed to such an uncertain environment can be effectively managed with the application of risk management throughout the project's life cycle. However, the effectiveness of risk management depends on the technique through which the effects of risk factors are analysed/quantified. This study proposes the Analytic Hierarchy Process (AHP), a multiple attribute decision making technique, as a tool for risk analysis because it can handle subjective as well as objective factors in a decision model that are conflicting in nature. This provides a decision support system (DSS) to project management for making the right decision at the right time for ensuring project success in line with organisation policy, project objectives and a competitive business environment. The whole methodology is explained through a case application of a cross-country petroleum pipeline project in India and its effectiveness in project management is demonstrated.

Cues and knowledge structures used by mental-health professionals when making risk assessments

Background: Research into mental-health risks has tended to focus on epidemiological approaches and to consider pieces of evidence in isolation. Less is known about the particular factors and their patterns of occurrence that influence clinicians’ risk judgements in practice. Aims: To identify the cues used by clinicians to make risk judgements and to explore how these combine within clinicians’ psychological representations of suicide, self-harm, self-neglect, and harm to others. Method: Content analysis was applied to semi-structured interviews conducted with 46 practitioners from various mental-health disciplines, using mind maps to represent the hierarchical relationships of data and concepts. Results: Strong consensus between experts meant their knowledge could be integrated into a single hierarchical structure for each risk. This revealed contrasting emphases between data and concepts underpinning risks, including: reflection and forethought for suicide; motivation for self-harm; situation and context for harm to others; and current presentation for self-neglect. Conclusions: Analysis of experts’ risk-assessment knowledge identified influential cues and their relationships to risks. It can inform development of valid risk-screening decision support systems that combine actuarial evidence with clinical expertise.