923 resultados para Operating Committee


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Este trabalho objetiva analisar aspectos jurídicos relacionados ao consórcio e ao Comitê Operacional que deverão ser constituídos no âmbito do novo modelo regulatório criado para a exploração e produção das reservas do pré-sal – o contrato de partilha de produção. Para esse fim, será feita uma análise do histórico do setor de petróleo e gás no Brasil, com o objetivo de contextualizar o novo modelo. Em seguida, serão analisados os principais aspectos presentes na doutrina e na legislação societária a respeito do consórcio, enfatizando-se as peculiaridades previstas na legislação do pré-sal. Passa-se, então, à análise de problemas relacionados à tomada de decisão no consórcio exigido pela lei do pré-sal e, consequentemente, no Comitê Operacional que o administrará. Para isso, serão examinados: (i) a teoria dos contratos incompletos; (ii) o modelo do principal-agente; (iii) os problemas de governança em uma sociedade de economia mista; e (iv) a teoria da dependência de recursos. Tendo por base o estudo realizado, a última parte buscará mostrar a necessidade de implementação de mecanismos de governança na execução dos contratos de partilha de produção, de modo a beneficiar todos os envolvidos.

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Does a brain store thoughts and memories the way a computer saves its files? How can a single hit or a fall erase all those memories? Brain Mapping and traumatic brain injuries (TBIs) have become widely researched fields today. Many researchers have been studying TBIs caused to adult American football players however youth athletes have been rarely considered for these studies, contradicting to the fact that American football enrolls highest number of collegiate and high-school children than adults. This research is an attempt to contribute to the field of youth TBIs. Earlier studies have related head kinematics (linear and angular accelerations) to TBIs. However, fewer studies have dealt with brain kinetics (impact pressures and stresses) occurring during head-on collisions. The National Operating Committee on Standards for Athletic Equipment (NOCSAE) drop tests were conducted for linear impact accelerations and the Head Impact Contact Pressures (HICP) calculated from them were applied to a validated FE model. The results showed lateral region of the head as the most vulnerable region to damage from any drop height or impact distance followed by posterior region. The TBI tolerance levels in terms of Von-Mises and Maximum Principal Stresses deduced for lateral impact were 30 MPa and 18 MPa respectively. These levels were corresponding to 2.625 feet drop height. The drop heights beyond this value will result in TBI causing stress concentrations in human head without any detectable structural damage to the brain tissue. This data can be utilized for designing helmets that provide cushioning to brain along with providing a resistance to shear.

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El compromiso laboral entre los trabajadores y las organizaciones es uno de los activos con mayor poder explicativo para consolidar un alto desempeño e incrementar la productividad. Para lograr eso es fundamental conocer cuáles son las vocaciones de los trabajadores actuales y futuros y de qué manera estas motivaciones de carrera encuentran articulación con la misión y la visión de la compañía. El problema es que las empresas fallan sistemáticamente en este proceso. El modelo de anclas de carrera (ac) de Edgar Schein es una metodología que permite conocer cuáles son las motivaciones de carrera de los individuos. Este documento tiene como propósito establecer un vínculo entre las ac y los procesos de selección, vinculación, y retención del capital humano en un contact centre que se desempeña en Bogotá, Colombia. Para alcanzar este propósito, se implementó el modelo de ac en una muestra de 116 trabajadores del área de gestión de esta compañía. El informe presenta el análisis de resultados y las propuestas sugeridas por los autores a la gerencia de la compañía.

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This work proposes a new approach using a committee machine of artificial neural networks to classify masses found in mammograms as benign or malignant. Three shape factors, three edge-sharpness measures, and 14 texture measures are used for the classification of 20 regions of interest (ROIs) related to malignant tumors and 37 ROIs related to benign masses. A group of multilayer perceptrons (MLPs) is employed as a committee machine of neural network classifiers. The classification results are reached by combining the responses of the individual classifiers. Experiments involving changes in the learning algorithm of the committee machine are conducted. The classification accuracy is evaluated using the area A. under the receiver operating characteristics (ROC) curve. The A, result for the committee machine is compared with the A, results obtained using MLPs and single-layer perceptrons (SLPs), as well as a linear discriminant analysis (LDA) classifier Tests are carried out using the student's t-distribution. The committee machine classifier outperforms the MLP SLP, and LDA classifiers in the following cases: with the shape measure of spiculation index, the A, values of the four methods are, in order 0.93, 0.84, 0.75, and 0.76; and with the edge-sharpness measure of acutance, the values are 0.79, 0.70, 0.69, and 0.74. Although the features with which improvement is obtained with the committee machines are not the same as those that provided the maximal value of A(z) (A(z) = 0.99 with some shape features, with or without the committee machine), they correspond to features that are not critically dependent on the accuracy of the boundaries of the masses, which is an important result. (c) 2008 SPIE and IS&T.