A satisfação com a avaliação de desempenho e o comprometimento afectivo

A presente investigação incide no estudo da Satisfação com a Avaliação de Desempenho e o Comprometimento Afectivo. A Avaliação de Desempenho é um tema actual e que tem vindo a ser bastante investigado considerando que oferece às empresas instrumentos que medem a relação dos colaboradores com a sua função. Segundo pesquisas recentes existe uma importante relação entre a Satisfação com a Avaliação de Desempenho e o Comprometimento Afectivo (Kuuvas, 2006; Vignaswaran,2005; Cook & Crossman, 2005). Os resultados obtidos na análise das hipóteses colocadas permitiram identificar a existência de uma influência significativa entre a Satisfação com a Avaliação de Desempenho e o Comprometimento Afectivo. Na Satisfação com o Chefe foram identificadas relações com a Satisfação com a Avaliação de Desempenho e com o Comprometimento Afectivo. Na Satisfação com a Avaliação de Desempenho foi identificada uma relação de influência com o Desempenho. Por último, foi estabelecido uma relação significativa entre a Satisfação com o Chefe e o Desempenho mediada pela Satisfação com a Avaliação de Desempenho. Os resultados levaram à confirmação do modelo em análise, estando este linha com o quadro teórico estabelecido. Foram discutidos algumas das implicações dos resultados obtidos e sugestões futuras.

A avaliação do desempenho na Administração Pública

O SIADAP, Sistema de Avaliação do Desempenho na Administração Pública, surge como um novo paradigma de avaliação do desempenho, estratégico para a gestão das organizações do sector público, porque tem sido um enorme desafio para os serviços que o têm implementado, ou para os que ainda não o conseguiram fazer. Este trabalho pretende avaliar as opiniões de avaliadores e avaliados, relativamente ao sistema e à sua implementação numa autarquia. A abordagem metodológica seguida para a sua realização, foi uma análise qualitativa. O processo seguido foi o de realização de entrevistas gravadas com a finalidade de recolher a informação necessária ao desenvolvimento da dissertação. Foram estabelecidos os seguintes objetivos de trabalho: Apresentar e caracterizar o SIADAP, conhecer e analisar as opiniões dos avaliados e dos avaliadores em relação ao processo SIADAP, no que respeita ao seu conhecimento e experiência dos sistemas de avaliação, à importância atribuída e dificuldades na aplicação do atual processo de Avaliação do Desempenho dos Trabalhadores da Administração Pública, o papel da avaliação do desempenho enquanto ferramenta de gestão de recursos humanos, e instrumento de apoio na promoção de uma cultura de mérito. Para avaliadores e avaliados, o sistema apresenta uma avaliação globalmente positiva e com oportunidades de melhoria, embora existam pontos fracos e constrangimentos que não podem ser ignorados.

Nuevas exigencias de los Estados Unidos bajo el Tratado de Libre Comercio: las patentes farmacéuticas (Tema Central)

La autora analiza las principales exigencias que en materia de propiedad intelectual Estados Unidos hace al Ecuador en el marco de la firma del Tratado de Libre Comercio. Estas exigencias, señala, van más allá de la normatividad sobre propiedad intelectual ya que los países andinos cuentan con este tipo de normas, altamente funcionales a los intereses de las transnacionales farmacéuticas. Cuatro son los ámbitos en los que se ubican las exigencias norteamericanas en la materia: protección con derecho de exclusividad a la información no divulgada, condicionamiento al ejercicio de las licencias obligatorias, ampliación del tiempo de protección a las patentes y los segundos usos, y eliminación de las exclusiones a la patentabilidad. Finalmente señala que el debate sobre propiedad intelectual, más allá de su apariencia técnica, es un debate esencialmente político.

Modified rare earth semiconductor oxide as a new nucleotide probe

Recent rapid developments in biological analysis, medical diagnosis, pharmaceutical industry, and environmental control fuel the urgent need for recognition of particular DNA sequences from samples. Currently, DNA detection techniques use radiochemical, enzymatic, fluorescent, or electrochemiluminescent methods; however, these techniques require costly labeled DNA and highly skilled and cumbersome procedure, which prohibit any in-situ monitoring. Here, we report that hybridization of surface-immobilized single-stranded oligonucleotide on praseodymium oxide (evaluated as a biosensor surface for the first time) with complimentary strands in solution provokes a significant shift of electrical impedance curve. This shift is attributed to a change in electrical characteristics through modification of surface charge of the underlying modified praseodymium oxide upon hybridization with the complementary oligonucelotide strand. On the other hand, using a noncomplementary single strand in solution does not create an equivalent change in the impedance value. This result clearly suggests that a new and simple electrochemical technique based on the change in electrical properties of the modified praseodymium oxide semiconductor surface upon recognition and transduction of a biological event without using labeled species is revealed.

Robust background model for pixel based people counting using a single uncalibrated camera

Several pixel-based people counting methods have been developed over the years. Among these the product of scale-weighted pixel sums and a linear correlation coefficient is a popular people counting approach. However most approaches have paid little attention to resolving the true background and instead take all foreground pixels into account. With large crowds moving at varying speeds and with the presence of other moving objects such as vehicles this approach is prone to problems. In this paper we present a method which concentrates on determining the true-foreground, i.e. human-image pixels only. To do this we have proposed, implemented and comparatively evaluated a human detection layer to make people counting more robust in the presence of noise and lack of empty background sequences. We show the effect of combining human detection with a pixel-map based algorithm to i) count only human-classified pixels and ii) prevent foreground pixels belonging to humans from being absorbed into the background model. We evaluate the performance of this approach on the PETS 2009 dataset using various configurations of the proposed methods. Our evaluation demonstrates that the basic benchmark method we implemented can achieve an accuracy of up to 87% on sequence ¿S1.L1 13-57 View 001¿ and our proposed approach can achieve up to 82% on sequence ¿S1.L3 14-33 View 001¿ where the crowd stops and the benchmark accuracy falls to 64%.

PETS2009: dataset and challenge

This paper describes the crowd image analysis challenge that forms part of the PETS 2009 workshop. The aim of this challenge is to use new or existing systems for i) crowd count and density estimation, ii) tracking of individual(s) within a crowd, and iii) detection of separate flows and specific crowd events, in a real-world environment. The dataset scenarios were filmed from multiple cameras and involve multiple actors.

An overview of the PETS 2009 challenge

This paper describes the crowd image analysis challenge that forms part of the PETS 2009 workshop. The aim of this challenge is to use new or existing systems for i) crowd count and density estimation, ii) tracking of individual(s) within a crowd, and iii) detection of separate flows and specific crowd events, in a real-world environment. The dataset scenarios were filmed from multiple cameras and involve multiple actors.

A grouped P2P network for scalable grid information services

Information services play a crucial role in grid environments in that the state information can be used to facilitate the discovery of resources and the services available to meet user requirements, and also to help tune the performance of a grid system. However, the large size and dynamic nature of the grid brings forth a number of challenges for information services. This paper presents PIndex, a grouped peer-to-peer network that can be used for scalable grid information services. PIndex builds on Globus MDS4, but introduces peer groups to dynamically split the large grid information search space into many small sections to enhance its scalability and resilience. PIndex is subsequently modeled with Colored Petri Nets for performance evaluation. The simulation results show that PIndex is scalable and resilient in dealing with a large number of peer nodes.

Handling single node failures using agents in computer clusters

The work reported in this paper is motivated towards handling single node failures for parallel summation algorithms in computer clusters. An agent based approach is proposed in which a task to be executed is decomposed to sub-tasks and mapped onto agents that traverse computing nodes. The agents intercommunicate across computing nodes to share information during the event of a predicted node failure. Two single node failure scenarios are considered. The Message Passing Interface is employed for implementing the proposed approach. Quantitative results obtained from experiments reveal that the agent based approach can handle failures more efficiently than traditional failure handling approaches.

Expert system aid for design of overload line distribution networks

The use of expert system techniques in power distribution system design is examined. The selection and siting of equipment on overhead line networks is chosen for investigation as the use of equipment such as auto-reclosers, etc., represents a substantial investment and has a significant effect on the reliability of the system. Through past experience with both equipment and network operations, most decisions in selection and siting of this equipment are made intuitively, following certain general guidelines or rules of thumb. This heuristic nature of the problem lends itself to solution using an expert system approach. A prototype has been developed and is currently under evaluation in the industry. Results so far have demonstrated both the feasibility and benefits of the expert system as a design aid.

A virtual headstick for people with spinal cord injuries

This paper presents a virtual headstick system as an alternative to the conventional passive headstick for persons with limited upper extremity function. The system is composed of a pair of kinematically dissimilar master-slave robots with the master robot being operated by the user's head. At the remote site, the end-effector of the slave robot moves as if it were at the tip of an imaginary headstick attached to the user's head. A unique feature of this system is that through force-reflection, the virtual headstick provides the user with proprioceptive information as in a conventional headstick, but with an augmentation of workspace volume and additional mechanical power. This paper describes the test-bed development, system identification, bilateral control implementation, and system performance evaluation.

Benchmark datasets for detection and tracking

There is a rising demand for the quantitative performance evaluation of automated video surveillance. To advance research in this area, it is essential that comparisons in detection and tracking approaches may be drawn and improvements in existing methods can be measured. There are a number of challenges related to the proper evaluation of motion segmentation, tracking, event recognition, and other components of a video surveillance system that are unique to the video surveillance community. These include the volume of data that must be evaluated, the difficulty in obtaining ground truth data, the definition of appropriate metrics, and achieving meaningful comparison of diverse systems. This chapter provides descriptions of useful benchmark datasets and their availability to the computer vision community. It outlines some ground truth and evaluation techniques, and provides links to useful resources. It concludes by discussing the future direction for benchmark datasets and their associated processes.