984 resultados para Manual safety belts.


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"Changes and additions will be made to the Manual on a continuing basis as determined necessary by experience gained."

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Mode of access: Internet.

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Mode of access: Internet.

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The Highway Safety Manual (HSM) estimates roadway safety performance based on predictive models that were calibrated using national data. Calibration factors are then used to adjust these predictive models to local conditions for local applications. The HSM recommends that local calibration factors be estimated using 30 to 50 randomly selected sites that experienced at least a total of 100 crashes per year. It also recommends that the factors be updated every two to three years, preferably on an annual basis. However, these recommendations are primarily based on expert opinions rather than data-driven research findings. Furthermore, most agencies do not have data for many of the input variables recommended in the HSM. This dissertation is aimed at determining the best way to meet three major data needs affecting the estimation of calibration factors: (1) the required minimum sample sizes for different roadway facilities, (2) the required frequency for calibration factor updates, and (3) the influential variables affecting calibration factors. In this dissertation, statewide segment and intersection data were first collected for most of the HSM recommended calibration variables using a Google Maps application. In addition, eight years (2005-2012) of traffic and crash data were retrieved from existing databases from the Florida Department of Transportation. With these data, the effect of sample size criterion on calibration factor estimates was first studied using a sensitivity analysis. The results showed that the minimum sample sizes not only vary across different roadway facilities, but they are also significantly higher than those recommended in the HSM. In addition, results from paired sample t-tests showed that calibration factors in Florida need to be updated annually. To identify influential variables affecting the calibration factors for roadway segments, the variables were prioritized by combining the results from three different methods: negative binomial regression, random forests, and boosted regression trees. Only a few variables were found to explain most of the variation in the crash data. Traffic volume was consistently found to be the most influential. In addition, roadside object density, major and minor commercial driveway densities, and minor residential driveway density were also identified as influential variables.

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Expert panels have been used extensively in the development of the "Highway Safety Manual" to extract research information from highway safety experts. While the panels have been used to recommend agendas for new and continuing research, their primary role has been to develop accident modification factors—quantitative relationships between highway safety and various highway safety treatments. Because the expert panels derive quantitative information in a “qualitative” environment and because their findings can have significant impacts on highway safety investment decisions, the expert panel process should be described and critiqued. This paper is the first known written description and critique of the expert panel process and is intended to serve professionals wishing to conduct such panels.

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The safety risk management process describes the systematic application of management policies, procedures and practices to the activities of communicating, consulting, establishing the context, and identifying, analysing, evaluating, treating, monitoring and reviewing risk. This process is undertaken to provide assurances that the risks of a particular unmanned aircraft system activity have been managed to an acceptable level. The safety risk management process and its outcomes form part of the documented safety case necessary to obtain approvals for unmanned aircraft system operations. It also guides the development of an organisation’s operations manual and is a primary component of an organisation’s safety management system. The aim of this chapter is to provide existing risk practitioners with a high level introduction to some of the unique issues and challenges in the application of the safety risk management process to unmanned aircraft systems. The scope is limited to safety risks associated with the operation of unmanned aircraft in the civil airspace system and over inhabited areas. The structure of the chapter is based on the safety risk management process as defined by the international risk management standard ISO 31000:2009 and draws on aviation safety resources provided by International Civil Aviation Organization, the Federal Aviation Administration and U.S. Department of Defense. References to relevant aviation safety regulations, programs of research and fielded systems are also provided.

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IT-supported field data management benefits on-site construction management by improving accessibility to the information and promoting efficient communication between project team members. However, most of on-site safety inspections still heavily rely on subjective judgment and manual reporting processes and thus observers’ experiences often determine the quality of risk identification and control. This study aims to develop a methodology to efficiently retrieve safety-related information so that the safety inspectors can easily access to the relevant site safety information for safer decision making. The proposed methodology consists of three stages: (1) development of a comprehensive safety database which contains information of risk factors, accident types, impact of accidents and safety regulations; (2) identification of relationships among different risk factors based on statistical analysis methods; and (3) user-specified information retrieval using data mining techniques for safety management. This paper presents an overall methodology and preliminary results of the first stage research conducted with 101 accident investigation reports.

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IT-supported field data management benefits on-site construction management by improving accessibility to the information and promoting efficient communication between project team members. However, most of on-site safety inspections still heavily rely on subjective judgment and manual reporting processes and thus observers’ experiences often determine the quality of risk identification and control. This study aims to develop a methodology to efficiently retrieve safety-related information so that the safety inspectors can easily access to the relevant site safety information for safer decision making. The proposed methodology consists of three stages: (1) development of a comprehensive safety database which contains information of risk factors, accident types, impact of accidents and safety regulations; (2) identification of relationships among different risk factors based on statistical analysis methods; and (3) user-specified information retrieval using data mining techniques for safety management. This paper presents an overall methodology and preliminary results of the first stage research conducted with 101 accident investigation reports.

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Background Efficient effective child product safety (PS) responses require data on hazards, injury severity and injury probability. PS responses in Australia largely rely on reports from manufacturers/retailers, other jurisdictions/regulators, or consumers. The extent to which reactive responses reflect actual child injury priorities is unknown. Aims/Objectives/Purpose This research compared PS issues for children identified using data compiled from PS regulatory data and data compiled from health data sources in Queensland, Australia. Methods PS regulatory documents describing issues affecting children in Queensland in 2008–2009 were compiled and analysed to identify frequent products and hazards. Three health data sources (ED, injury surveillance and hospital data) were analysed to identify frequent products and hazards. Results/Outcomes Projectile toys/squeeze toys were the priority products for PS regulators with these toys having the potential to release small parts presenting choking hazards. However, across all health datasets, falls were the most common mechanism of injury, and several of the products identified were not subject to a PS system response. While some incidents may not require a response, a manual review of injury description text identified child poisonings and burns as common mechanisms of injuries in the health data where there was substantial documentation of product-involvement, yet only 10% of PS system responses focused on these two mechanisms combined. Significance/contribution to the field Regulatory data focused on products that fail compliance checks with ‘potential’ to cause harm, and health data identified actual harm, resulting in different prioritisation of products/mechanisms. Work is needed to better integrate health data into PS responses in Australia.

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This paper will identify and discuss the major occupational health and safety (OHS) hazards and risks for clean-up and recovery workers. The lessons learned from previous disasters including; the Exxon Valdez oil spill, World Trade Centre (WTC) terrorist attack, Hurricane Katrina and the Deepwater Horizon Gulf of Mexico oil spill will be discussed. The case for an increased level of preparation and planning to mitigate the health risks for clean-up and recovery workers will be presented, based on recurring themes identified in the peer reviewed literature. There are a number of important issues pertaining to the occupational health and safety of workers who are engaged in clean-up and recovery operations following natural and technological disasters. These workers are often exposed to a wide range of occupational health and safety hazards, some of which may be unknown at the time. It is well established that clean-up and recovery operations involve risks of physical injury, for example, from manual handling, mechanical equipment, extreme temperatures, slips, trips and falls. In addition to these well established physical injury risks there are now an increasing number of studies which highlight the risks of longer term or chronic health effects arising from clean-up and recovery work. In particular, follow up studies from the Exxon Valdez oil spill, Hurricane Katrina and the World Trade Centre (WTC) terrorism attack have documented the longer term health consequences of these events. These health effects include respiratory symptoms and musculoskeletal disorders, as well as post traumatic stress disorder (PTSD). In large scale operations many of those workers and supervisors involved have not had any specific occupational health and safety (OHS) training and may not have access to the necessary instruction, personal protective equipment or other appropriate equipment, this is especially true when volunteers are used to form part of the clean-up and recovery workforce. In general, first responders are better equipped and trained than clean-up and recovery workers and some of the training approaches used for the traditional first responders would be relevant for clean-up and recovery workers.

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The current procedures in post-earthquake safety and structural assessment are performed manually by a skilled triage team of structural engineers/certified inspectors. These procedures, and particularly the physical measurement of the damage properties, are time-consuming and qualitative in nature. This paper proposes a novel method that automatically detects spalled regions on the surface of reinforced concrete columns and measures their properties in image data. Spalling has been accepted as an important indicator of significant damage to structural elements during an earthquake. According to this method, the region of spalling is first isolated by way of a local entropy-based thresholding algorithm. Following this, the exposure of longitudinal reinforcement (depth of spalling into the column) and length of spalling along the column are measured using a novel global adaptive thresholding algorithm in conjunction with image processing methods in template matching and morphological operations. The method was tested on a database of damaged RC column images collected after the 2010 Haiti earthquake, and comparison of the results with manual measurements indicate the validity of the method.

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A melhoria progressiva na prestação de cuidados de saúde que se verifica nos dias de hoje, deve-se maioritariamente ao desenvolvimento de novas tecnologias médicas, que se traduzem na criação de inovadores dispositivos médicos, cujo fim é auxiliar no diagnóstico, prevenção e tratamento de doenças, melhorando assim as condições de trabalho e os cuidados oferecidos aos pacientes. No entanto estas melhorias apenas são vantajosas quando as novas tecnologias são utilizadas de forma segura, o que leva a uma preocupação crescente com a segurança dos profissionais de saúde e dos pacientes em ambiente hospitalar. Como forma de reduzir e controlar os riscos existentes, as unidades de saúde introduziram mecanismos de gestão que permitem o conhecimento das fontes de risco e respetivos mecanismos de ação. A presente dissertação de mestrado apresenta uma proposta de modelo de Manual de Procedimentos para Gestão de Risco de Dispositivos Médicos, aplicável a todos os dispositivos médicos existentes nas Unidades de Saúde. Para a criação deste manual, foram utilizados por meio de adaptação, as etapas da gestão de risco definidas na Norma ISO 14971:2007 em conjunto com o método de gestão de risco utilizado pela Unidade Local de Saúde de Matosinhos O desenvolvimento deste manual de procedimentos permitirá a esta unidade de saúde, a aquisição e fornecimento de informações úteis na tomada de decisão sobre os procedimentos de controlo de risco de dispositivos médicos, com o objetivo de manter o risco destes dispositivos dentro dos níveis previamente estabelecidos e auxiliar a tomada de decisão de programas de manutenção preventiva e de aquisição de dispositivos médicos.

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Estudi sobre la implantació d’un manual de gestió en una indústria de llescats, realitzat a l’empresa Serra&Mota de la Cellera de Ter (consta d’un sistema APPCC i un manual de qualitat)

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Objetivo: Comparar las complicaciones del uso de Angioseal® versus compresión manual en los pacientes llevados a cateterismo cardíaco en el Servicio de Hemodinamia de la Fundación Santa Fe de Bogotá, del 1º de enero de 2005 al 31 de diciembre de 2010, mediante punción arterial femoral percutánea. Metodología: Se realizó un Estudio Observacional, Analítico, de tipo Cohorte Retrospectiva. Partiendo de dos grupos de personas con indicación de cateterismo cardíaco por cualquier causa, uno expuesto al procedimiento con Angioseal® y el otro con compresión manual. Resultados: Con el uso de Angioseal® versus compresión manual la aparición de complicaciones fue 7,3% vs 4,1%, estas diferencias no fueron significativas (OR 1,81 IC95 0,96-3,40; RR 1,75 IC95 0,96-3,18) . La enfermedad coronaria (OR 2,27 IC95 1,07-4,79; RR 2,18 IC95 1,06-4,46) y a la colocación de stent (OR 3,49 IC95 1,82-6,69; RR 3,25 IC95 1,75-6,02 si se relacionaron significativamente con la aparición de complicaciones menores. Conclusión: No encontramos soporte para aprobar o desaprobar el uso de Angioseal® o compresión manual como manejo de la hemostasia, con respecto a las complicaciones. Sin embargo, se encontró que la colocación de stents está fuertemente relacionada con el desarrollo de complicaciones menores, lo cual hace que estos pacientes deban ser objeto de monitorización estrecha.

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Sirve de guía en temas de salud y relacionados con la seguridad en la enseñanza de la ciencia y de la tecnología en las escuelas primarias y establecimientos similares, tales como escuelas de párvulos, escuelas intermedias y algunas escuelas para niños con necesidades educativas especiales. Por tanto, se incluye a alumnos en la franja de edad de tres a once o doce años.