Estimate of dietary intake of chloropropanols (3-MCPD and 1,3-DCP) and health risk assessment

Chloropropanols, including 3-monochloropropane-1,2-diol (3-MCPD) and 1,3-dichloropropan-2-ol (1,3-DCP), comprise a group of chemical contaminants with carcinogenic and genotoxic properties. They have been found in a variety of processed foods and food ingredients, such as hydrolyzed vegetable protein, soy sauce, cereal-based products, malt-derived ingredients, and smoked foods. This study aimed to assess the dietary exposure to 3-MCPD and 1,3-DCP in Brazil and verify whether the presence of these substances in foods could represent health risks. The intake was calculated by combining data on food consumption, provided by the Consumer Expenditure Survey 2008-2009, with the levels of contaminant occurrence determined by gas chromatography-mass spectrometry. The exposure to 3-MCPD ranged from 0.06 to 0.51 µg.kg bw-1.day-1 considering average and high consumers, while the intake of 1,3-DCP was estimated to be 0.0036 µg.kg bw-1.day-1 in the worst case scenario evaluated. Based on these results, it was verified that the Brazilians' exposure to chloropropanols does not present a significant health risk. However, the consumption of specific foods containing high levels of 3-MCPD could exceed the provisional maximum tolerable daily intake of 2 µg.kg bw-1 established for this compound and, therefore, represent a potential concern.

Risk Assessment of Rooftop- Collected Rainwater for Individual Household and Community Use in Central Kerala, India

Water quality of rooftop-collected rainwater is an issue of increased interest particularly in developing countries where the collected water is used as a source of drinking water. Bacteriological and chemical parameters of 25 samples of rooftop-harvested rainwater stored in ferrocement tanks were analyzed in the study described in this article. Except for the pH and lower dissolved oxygen levels, all other physicochemical parameters were within World Health Organization guidelines. Bacteriological results revealed that the rooftop-harvested rainwater stored in tanks does not often meet the bacteriological quality standards prescribed for drinking water. Fifty percent of samples of harvested rainwater for rural and urban community use and 20% of the samples for individual household use showed the presence of E. coli. Fecal coliform/fecal streptococci ratios revealed nonhuman animal sources of fecal pollution. Risk assessment of bacterial isolates from the harvested rainwater showed high resistance to ampicillin, erythromycin, penicillin, and vancomycin. Multiple antibiotic resistance (MAR) indexing of the isolates and elucidation of the resistance patterns revealed that 73% of the isolates exhibited MAR

Animal Biosafety Risk Assessment and Management Training Video

This training video is intended to familiarise researchers and technicians working in animal containment facilities with appropriate risk assessment and risk management systems. It is in Windows Media Video format which will require a free media player such as Windows Media Player or VLC Media Player (http://www.videolan.org/vlc/) to watch.

Risk Assessment for blackboard 2011

This resource is for Health Scientists

Envisioning (starting the project)2: User Stories, Sprint Planning, Risk Assessment

Second in a two part set of lectures on Agile Envisioning. The lectures describe the process of starting up a project. 1) creating a shared understanding amongst the team and customers using Stakeholder Analysis, Personas and User stories 2) Sprint planning and using a burndown chart 3) Risk assessment

Estudio de los beneficios de la implementación del modelo de gestión cloud computing en comparación al modelo de gestión tradicional. Caso de estudio: Corporación ADC-HAS Management Ecuador S.A.

El desarrollo eficiente y oportuno de las actividades propias de las empresas exige una constante renovación en su infraestructura, capacitación permanente de su staff, investigar nuevas tecnológicas y la asignación cada vez mayor del presupuesto para su área de TIC. Varios modelos de gestión han intentado suplir estas necesidades, entre los que se puede mencionar a: hosting, outsourcing, leasing, servicios profesionales, asesorías especializadas, entre otros. El modelo de gestión cloud computing y sus diversas opciones se está posicionando últimamente como la solución más viable y rápida de implementar. De ahí que, este proyecto se enfoca en el estudio de este modelo como una alternativa al modelo de gestión tradicional de servicios TIC, y toma como referencia para el desarrollo de esta tesis la situación actual de la infraestructura tecnológica de la Corporación ADC&HAS Management Ecuador S.A. No se pretende justificar al cloud como una solución definitiva, sino plantear este modelo como una alternativa útil a la realidad tecnológica de la Corporación, y en base a sus propiedades concluir que fue el modelo que mejor se ajustó a la estrategia institucional en términos: organizacionales, tecnológicos y financieros, por lo menos para los próximos cinco años. En los dos primeros capítulos se referencian algunos elementos conceptuales en los que se fundamenta las TIC y se mencionan ciertos parámetros que intervinieron en su evolución. El tercer capítulo describe a la Corporación; y en el capítulo cuarto se aplican los conceptos de los primeros capítulos reforzados con las experiencias publicadas en la revista Computerworld (2010 hasta la presente) y que permitieron evaluar los beneficios de los dos modelos de gestión y las razones para implementarlos o mantenerlos.

Análisis del modelo de negocio del cloud computing. Caso: empresa de desarrollo DevTeam

Hoy en día el uso de las TIC en una empresa se ha convertido en indispensable sin importar su tamaño o industria a tal punto que ya no es una ventaja competitiva el simple hecho de usarla sino que la clave es determinar cuál es la mejor para la empresa. Existen en el mercado servicios en-línea que igualan o sobrepasan los estándares de tecnologías pagadas que incluso deben ser instaladas dentro de la empresa consumiendo recursos y en algunos casos subutilizándolos, los servicios del cloud computing poseen la flexibilidad y capacidad que la empresa requiere de acuerdo a sus necesidades de crecimiento y de cambio continuo que el mercado exige en la actualidad. Algunas empresas no invierten en dichas tecnologías porque no saben que pueden accederlas a costos bajos e incluso en algunos casos sin pagar un solo centavo y pierden competitividad y productividad por simple desconocimiento. El uso de servicios SaaS e IaaS afecta al flujo de caja de manera positiva comparada con una inversión en infraestructura propia, sobre todo en empresas que están empezando a funcionar o en aquellas que están en proceso de renovación tecnológica. Después de realizada esta investigación se recomienda el uso de los servicios de cloud computing, pero es evidente que no son útiles para todas las empresas y la utilidad depende de la criticidad de las aplicaciones o infraestructuras, el momento por el que pasa la compañía, tamaño de la empresa, ¿Cloud pública o Cloud privada?, en ocasiones, virtualizar también es racionalizar y la visión integral de la seguridad. Por otro lado, después de tabular los datos obtenidos en la encuesta número 2 se evidenció que el lanzamiento del Servicio en la nube de EcuFlow incrementó la demanda de esta herramienta en el mercado.

Use of airborne remote sensing to detect riverside Brassica rapa to aid in risk assessment of transgenic crops

High resolution descriptions of plant distribution have utility for many ecological applications but are especially useful for predictive modelling of gene flow from transgenic crops. Difficulty lies in the extrapolation errors that occur when limited ground survey data are scaled up to the landscape or national level. This problem is epitomized by the wide confidence limits generated in a previous attempt to describe the national abundance of riverside Brassica rapa (a wild relative of cultivated rapeseed) across the United Kingdom. Here, we assess the value of airborne remote sensing to locate B. rapa over large areas and so reduce the need for extrapolation. We describe results from flights over the river Nene in England acquired using Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) imagery, together with ground truth data. It proved possible to detect 97% of flowering B. rapa on the basis of spectral profiles. This included all stands of plants that occupied >2m square (>5 plants), which were detected using single-pixel classification. It also included very small populations (<5 flowering plants, 1-2m square) that generated mixed pixels, which were detected using spectral unmixing. The high detection accuracy for flowering B. rapa was coupled with a rather large false positive rate (43%). The latter could be reduced by using the image detections to target fieldwork to confirm species identity, or by acquiring additional remote sensing data such as laser altimetry or multitemporal imagery.

Very short delays prior to escape from potential predators may function efficiently as adaptive risk-assessment periods

Periods between predator detection and an escape response (escape delays) by prey upon attack by a predator often arise because animals trade-off the benefits such a delay gives for assessing risk accurately with the costs of not escaping as quickly as possible. We tested whether freezing behaviour (complete immobility in a previously foraging bird) observed in chaffinches before escaping from an approaching potential threat functions as a period of risk-assessment, and whether information on predator identity is gained even when time available is very short. We flew either a model of a sparrowhawk (predator) or a woodpigeon (no threat) at single chaffinches. Escape delays were significantly shorter with the hawk, except when a model first appeared close to the chaffinch. Chaffinches were significantly more vigilant when they resumed feeding after exposure to the sparrowhawk compared to the woodpigeon showing that they were able to distinguish between threats, and this applied even when time available for assessment was short (an average of 0.29 s). Our results show freezing in chaffinches functions as an effective economic risk assessment period, and that threat information is gained even when very short periods of time are available during an attack.

Use of airborne remote sensing to detect riverside Brassica rapa to aid in risk assessment of transgenic crops

High resolution descriptions of plant distribution have utility for many ecological applications but are especially useful for predictive modeling of gene flow from transgenic crops. Difficulty lies in the extrapolation errors that occur when limited ground survey data are scaled up to the landscape or national level. This problem is epitomized by the wide confidence limits generated in a previous attempt to describe the national abundance of riverside Brassica rapa (a wild relative of cultivated rapeseed) across the United Kingdom. Here, we assess the value of airborne remote sensing to locate B. rapa over large areas and so reduce the need for extrapolation. We describe results from flights over the river Nene in England acquired using Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) imagery, together with ground truth data. It proved possible to detect 97% of flowering B. rapa on the basis of spectral profiles. This included all stands of plants that occupied >2m square (>5 plants), which were detected using single-pixel classification. It also included very small populations (<5 flowering plants, 1-2m square) that generated mixed pixels, which were detected using spectral unmixing. The high detection accuracy for flowering B. rapa was coupled with a rather large false positive rate (43%). The latter could be reduced by using the image detections to target fieldwork to confirm species identity, or by acquiring additional remote sensing data such as laser altimetry or multitemporal imagery.