320 resultados para swd: Hautfarbe
Resumo:
Currently, there is increasing use of nanomaterials in the food industry thanks to the many advantages offered and make the products that contain them more competitive in the market. Their physicochemical properties often differ from those of bulk materials, which require specialized risk assessment. This should cover the risks to the health of workers and consumers as well as possible environmental risks. The risk assessment methods must go updating due to more widespread use of nanomaterials, especially now that are making their way down to consumer products. Today there is no specific legislation for nanomaterials, but there are several european dispositions and regulations that include them. This review gives an overview of the risk assessment and the existing current legislation regarding the use of nanotechnology in the food industry.
Resumo:
In recent years, depth cameras have been widely utilized in camera tracking for augmented and mixed reality. Many of the studies focus on the methods that generate the reference model simultaneously with the tracking and allow operation in unprepared environments. However, methods that rely on predefined CAD models have their advantages. In such methods, the measurement errors are not accumulated to the model, they are tolerant to inaccurate initialization, and the tracking is always performed directly in reference model's coordinate system. In this paper, we present a method for tracking a depth camera with existing CAD models and the Iterative Closest Point (ICP) algorithm. In our approach, we render the CAD model using the latest pose estimate and construct a point cloud from the corresponding depth map. We construct another point cloud from currently captured depth frame, and find the incremental change in the camera pose by aligning the point clouds. We utilize a GPGPU-based implementation of the ICP which efficiently uses all the depth data in the process. The method runs in real-time, it is robust for outliers, and it does not require any preprocessing of the CAD models. We evaluated the approach using the Kinect depth sensor, and compared the results to a 2D edge-based method, to a depth-based SLAM method, and to the ground truth. The results show that the approach is more stable compared to the edge-based method and it suffers less from drift compared to the depth-based SLAM.
Resumo:
Die vorliegende Arbeit nahm sich vor, das Bild des Afroamerikaners in jeweils zwei kubanischen und brasilianischen Romanen des 19. Jahrhunderts zu analysieren: El negro Francisco, Cecilia Valdés, A escrava Isaura und O mulato. Das Hauptziel war es, zu untersuchen, wie das Bild des Afroabstammenden von den Autoren angeeignet und instrumentalisiert wurde, um Veränderungen in ihren Gesellschaften zu erzielen. Darüber hinaus, versuchte man darzustellen, wie der Afroamerikaner und seine Kultur aus dem kubanischen und brasilianischen nationalen Projekt ausgeschlossen wurden. Zunächst wurden die Haupttheorien über die Konstruktion von Auto- und Heterostereotypen vorgestellt und auf die Relevanz der Stereotypenbildung im kolonialen Kontext hingewiesen. Daraufhin wurde der historische Kontext der Sklaverei und der Abolition in Kuba und in Brasilien dargelegt. Auf diese Basis wurden die Werke analysiert. Im letzten Kapitel wurde auf die Resultate der Fragestellungen eingegangen, die die vorliegende Arbeit geleitet haben. Solche wie: Welche Bilder der Weißen und der Schwarzen wurden in den Werken kreiert? Wie positioniert sich der Autor bezüglich der Abolition und der Vermischung der Ethnien? Welche Bedeutung hatten die ethnischen Diskurse im kubanischen und brasilianischen kollektiven Gedächtnis des 19. Jahrhunderts? Es konnte gezeigt werden, dass das Bild des Afroamerikaners in den Romanen verwendet wurde, um die Zukunft der eigenen Nation zu projizieren, von der der Schwarze nur ein Teil werden könnte, wenn er die weiße Kultur und Hautfarbe annehmen würde, das heißt, wenn er sich dem Prozess eines physischen und kulturellen „branqueamento“ unterziehen würde. Die abolitionistische Narrative, auch wenn sie nach außen hin dem Schwarzen zu verteidigen scheint, trug in Wahrheit zur Fixierung und Perpetuierung der ethnischen Stereotype bei, die die Schwarzen in den marginalen Sphären der Gesellschaft verewigten und die Macht in den Händen der Weißen konsolidierten.
Resumo:
The main purpose of this study is to assess the relationship between six bioclimatic indices for cattle (temperature humidity (THI), environmental stress (ESI), equivalent temperature (ESI), heat load (HLI), modified heat load (HLInew) and respiratory rate predictor(RRP)) and fundamental milk components (fat, protein, and milk yield) considering uncertainty. The climate parameters used to calculate the climate indices were taken from the NASA-Modern Era Retrospective-Analysis for Research and Applications (NASA-MERRA) reanalysis from 2002 to 2010. Cow milk data were considered for the same period from April to September when cows use natural pasture, with possibility for cows to choose to stay in the barn or to graze on the pasture in the pasturing system. The study is based on a linear regression analysis using correlations as a summarizing diagnostic. Bootstrapping is used to represent uncertainty estimation through resampling in the confidence intervals. To find the relationships between climate indices (THI, ETI, HLI, HLInew, ESI and RRP) and main components of cow milk (fat, protein and yield), multiple liner regression is applied. The least absolute shrinkage selection operator (LASSO) and the Akaike information criterion (AIC) techniques are applied to select the best model for milk predictands with the smallest number of climate predictors. Cross validation is used to avoid over-fitting. Based on results of investigation the effect of heat stress indices on milk compounds separately, we suggest the use of ESI and RRP in the summer and ESI in the spring. THI and HLInew are suggested for fat content and HLInew also is suggested for protein content in the spring season. The best linear models are found in spring between milk yield as predictands and THI, ESI,HLI, ETI and RRP as predictors with p-value < 0.001 and R2 0.50, 0.49. In summer, milk yield with independent variables of THI, ETI and ESI show the highest relation (p-value < 0.001) with R2 (0.69). For fat and protein the results are only marginal. It is strongly suggested that new and significant indices are needed to control critical heat stress conditions that consider more predictors of the effect of climate variability on animal products, such as sunshine duration, quality of pasture, the number of days of stress (NDS), the color of skin with attention to large black spots, and categorical predictors such as breed, welfare facility, and management system. This methodology is suggested for studies investigating the impacts of climate variability/change on food quality/security, animal science and agriculture using short term data considering uncertainty or data collection is expensive, difficult, or data with gaps.
Resumo:
Drosophila suzukii (Diptera: Drosophilidae), conhecida como drosófila da asa manchada (SWD) ou suzuki, é uma praga quarentenária nativa da Ásia em expansão mundial na atualidade. Em 2008, SWD foi coletada nos EUA (Califórnia) e, desde então, registrada em outros estados americanos (WALSH et al. 2011) e também na Europa (CINI et al. 2012). No Brasil, a praga foi detectada no ano de 2014 ocasionando danos na ordem de 30% em cultivos de morango no Estado do Rio Grande do Sul (SANTOS, 2014a). Os danos são causados pela alimentação das larvas em frutos ainda fixos às plantas, e pela introdução de patógenos no local da oviposição. O fruto atacado entra em colapso exibindo intensa perda de líquidos. Entre os hospedeiros da SWD estão as fruteiras que produzem frutos de epiderme fina como, por exemplo, os pequenos frutos: morango, framboesa, amora-preta e o mirtilo. Em se tratando de uma espécie recentemente introduzida no Brasil, poucas são as informações sobre a eficiência de atrativos para monitoramento das populações. O vinagre de maçã tem sido usado em vários estudos científicos, sendo até sugerido como atrativo para o monitoramento da espécie no Brasil (SANTOS, 2014b). Apesar disto, a atratividade é apontada como de curta duração e de baixa seletividade. Assim, Santos (2016) recomenda, em substituição ao vinagre de maçã, o uso de um atrativo à base de fermento biológico, açúcar e água, o qual tem se mostrado promissor e seletivo para monitoramento de SWD. Nos 24 EUA, após extensa avaliação laboratorial e de campo, foram isolados componentes químicos essenciais da atratividade de D. Suzukii, os quais estão sendo produzidos e comercializados em forma de dispenser, com os nomes comerciais de Pherocon® SWD e Scentry® SWD. Como inexistem informações sobre a eficiência e a seletividade de tais produtos para o monitoramento da suzuki no Brasil, foi planejado o presente estudo, cujo objetivo foi o de avaliar a captura e a seletividade de atrativos e de misturas no monitoramento de D. suzukii em pomar de framboesa no município de Vacaria, RS.