825 resultados para interrogation to decide whether person appropriate party to proceeding


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[ES]El siguiente trabajo consiste en una metodología de selección de un ERP orientada a Pymes, enfocada en las que tienen su actividad en el ámbito industrial. Se ha procedido explicando en una primera parte el contexto de las pymes españolas y la justificación de la necesidad de este proyecto. A continuación se detallan en la metodología los pasos y factores que se han tenido en cuenta para elaborar el proyecto, las fuentes consultadas y la forma de realizar el método. Por último se tiene un estudio de la oferta actual de ERPs, y la selección de los más importantes en el territorio español actualmente. Anexo I. Información detallada de todos los ERPs que se han elegido para el proyecto. A través de esta información (obtenida de páginas oficiales, foros, partners oficiales…) se han elaborado los cuestionarios. Anexo II. Se trata de una lista de cuestionarios dividida en bloques, según los diferentes departamentos de la empresa. El responsable de cada área deberá rellenar el bloque que le corresponde, señalando para cada ítem si lo considera necesario para la empresa o no. Al final se obtendrá una puntuación, que determinará cuáles son los ERPs que tienen mayor afinidad con la empresa. Anexo III. El cuestionario en formato Excel. Cuando se completa se obtienen de forma automática las puntuaciones ya ponderadas y la compatibilidad con cada ERP.

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Trata-se de uma pesquisa qualitativa exploratória que teve como objeto de estudo o desejo de amamentar na perspectiva das tecnologias não invasivas de cuidado de enfermagem. Objetivou: Descrever a vivência da mulher em relação à amamentação quanto ao seu desejo de amamentar. Identificar se o desejo da mulher de amamentar foi respeitado. Discutir os cuidados de enfermagem recebidos pela mulher durante o período de amamentação na perspectiva das tecnologias não invasivas de cuidado de enfermagem. Utilizou a Narrativa de Vida como método, adotou o referencial metodológico de Daniel Bertaux e realizou entrevista aberta com dezesseis mulheres em processo de amamentação, a partir do pós-parto imediato até os 06 meses de vida do bebê em atendimento no alojamento conjunto, no alojamento de mães que possuem seus bebês internados na UTI neonatal e as Estratégias de Saúde da Família com a seguinte pergunta norteadora: Fale a respeito de sua vida que tenha relação com a amamentação. O estudo foi aprovado pelo Comitê de Ética e Pesquisa da Prefeitura Municipal de Saúde do Rio de Janeiro. A coleta de dados foi realizada no período de fevereiro a julho de 2013, até atingir o ponto de saturação. Emergiram a partir de suas narrativas duas unidades de significação: Vivência da mulher em relação à sua amamentação e Cuidados de enfermagem na perspectiva da tecnologia não invasiva de cuidado de enfermagem. O referencial teórico adotado foi Donald Woods Winnicott. As narrativas de vida das mulheres entrevistadas evidenciaram que entre dezesseis mulheres, onze queriam amamentar e cinco relataram que não queriam amamentar. Das mulheres que queriam, observa-se que algumas já possuíam o desejo, por decisão própria. Vivenciar ou ter vivenciado a amamentação; influência familiar e relação mãe-filho são fatores que levam uma mulher a decidir ou não amamentar. O estudo evidenciou que a mulher se sente completamente responsável pelo filho, julga as que não amamentam e amamenta mesmo com dificuldades. As que inicialmente, relataram o desejo de não amamentar na gravidez, no puerpério decidiram amamentar e algumas dessas, justificaram a mudança em função da pressão profissional. A Enfermagem não utiliza dos preceitos das Tecnologias Não Invasivas de Cuidado de Enfermagem para cuidar da mãe e seu filho com relação ao desejo de amamentar. O relacionamento mãe-filho é um fator que nos leva a uma reflexão considerada como uma das mais importantes quando se fala de amamentação na concepção de Donald Winnicott. A enfermagem deve incorporar possibilidades e concepções das tecnologias não invasivas de cuidado de enfermagem em sua prática nas diversas áreas de atuação. Na amamentação, as Tecnologias Não Invasivas de Cuidado de Enfermagem são excelentes ferramentas para a enfermagem praticar no seu cotidiano assistencial com mulheres que estão amamentando. Uma vez que priorizam a não invasão, o respeito ao desejo, o empoderamento, a autonomia e a autoconfiança.

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Morphological studies of a series of propylene/ethylene sequential polymers have been carried out by permanganic etching and transmission electron microscopy, as an aid to characterization, in conjunction with differential scanning calorimetry. The materials were synthesized using a titanium-based catalyst, with propylene and either ethylene or ethylene/propylene mixture introduced successively, with the aim of examining whether a proportion of block copolymer is obtained. These materials show a complicated phase structure which does not simply reflect polymerization time but varies greatly, especially in regard to the order of introduction of the monomers, and their morphology differs in a number of ways from that of typical commercial materials. Comparison of the materials, as synthesized and after extraction with heptane, suggests that there is a certain amount of material which can compatibilize polypropylene- and ethylene-rich phases, but it was not possible to decide whether it does in fact have block structure.

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We propose and evaluate an admission control paradigm for RTDBS, in which a transaction is submitted to the system as a pair of processes: a primary task, and a recovery block. The execution requirements of the primary task are not known a priori, whereas those of the recovery block are known a priori. Upon the submission of a transaction, an Admission Control Mechanism is employed to decide whether to admit or reject that transaction. Once admitted, a transaction is guaranteed to finish executing before its deadline. A transaction is considered to have finished executing if exactly one of two things occur: Either its primary task is completed (successful commitment), or its recovery block is completed (safe termination). Committed transactions bring a profit to the system, whereas a terminated transaction brings no profit. The goal of the admission control and scheduling protocols (e.g., concurrency control, I/O scheduling, memory management) employed in the system is to maximize system profit. We describe a number of admission control strategies and contrast (through simulations) their relative performance.

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We propose and evaluate admission control mechanisms for ACCORD, an Admission Control and Capacity Overload management Real-time Database framework-an architecture and a transaction model-for hard deadline RTDB systems. The system architecture consists of admission control and scheduling components which provide early notification of failure to submitted transactions that are deemed not valuable or incapable of completing on time. In particular, our Concurrency Admission Control Manager (CACM) ensures that transactions which are admitted do not overburden the system by requiring a level of concurrency that is not sustainable. The transaction model consists of two components: a primary task and a compensating task. The execution requirements of the primary task are not known a priori, whereas those of the compensating task are known a priori. Upon the submission of a transaction, the Admission Control Mechanisms are employed to decide whether to admit or reject that transaction. Once admitted, a transaction is guaranteed to finish executing before its deadline. A transaction is considered to have finished executing if exactly one of two things occur: Either its primary task is completed (successful commitment), or its compensating task is completed (safe termination). Committed transactions bring a profit to the system, whereas a terminated transaction brings no profit. The goal of the admission control and scheduling protocols (e.g., concurrency control, I/O scheduling, memory management) employed in the system is to maximize system profit. In that respect, we describe a number of concurrency admission control strategies and contrast (through simulations) their relative performance.

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Case-Based Reasoning (CBR) uses past experiences to solve new problems. The quality of the past experiences, which are stored as cases in a case base, is a big factor in the performance of a CBR system. The system's competence may be improved by adding problems to the case base after they have been solved and their solutions verified to be correct. However, from time to time, the case base may have to be refined to reduce redundancy and to get rid of any noisy cases that may have been introduced. Many case base maintenance algorithms have been developed to delete noisy and redundant cases. However, different algorithms work well in different situations and it may be difficult for a knowledge engineer to know which one is the best to use for a particular case base. In this thesis, we investigate ways to combine algorithms to produce better deletion decisions than the decisions made by individual algorithms, and ways to choose which algorithm is best for a given case base at a given time. We analyse five of the most commonly-used maintenance algorithms in detail and show how the different algorithms perform better on different datasets. This motivates us to develop a new approach: maintenance by a committee of experts (MACE). MACE allows us to combine maintenance algorithms to produce a composite algorithm which exploits the merits of each of the algorithms that it contains. By combining different algorithms in different ways we can also define algorithms that have different trade-offs between accuracy and deletion. While MACE allows us to define an infinite number of new composite algorithms, we still face the problem of choosing which algorithm to use. To make this choice, we need to be able to identify properties of a case base that are predictive of which maintenance algorithm is best. We examine a number of measures of dataset complexity for this purpose. These provide a numerical way to describe a case base at a given time. We use the numerical description to develop a meta-case-based classification system. This system uses previous experience about which maintenance algorithm was best to use for other case bases to predict which algorithm to use for a new case base. Finally, we give the knowledge engineer more control over the deletion process by creating incremental versions of the maintenance algorithms. These incremental algorithms suggest one case at a time for deletion rather than a group of cases, which allows the knowledge engineer to decide whether or not each case in turn should be deleted or kept. We also develop incremental versions of the complexity measures, allowing us to create an incremental version of our meta-case-based classification system. Since the case base changes after each deletion, the best algorithm to use may also change. The incremental system allows us to choose which algorithm is the best to use at each point in the deletion process.

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Fictitious personal names and toponyms are not infrequent in legal casenotes as used for didactic purposes nowadays. There is a long tradition of fictitious names being used in the legal literature. The problem with medieval or early modern legal (here, rabbinical) responsa is that if they are used as evidence for historical purposes, as though they were chronicles, confusion may occurs. Historian Eliezer Bashan showed that this is the case, indeed, with particular reference to rabbinical responsa from the Ottoman empire where Holy Land toponyms occur. He set forth several tentative rules to decide whether a toponym is there to literally refer to the place it names, or whether, instead, the name is used fictitiously. This paper formalizes the ruleset.

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Self-alignment of soldered electronic components such as flip-chips (FC), ball grid arrays (BGA) and optoelectronic devices during solder reflow is important as it ensures good alignment between components and substrates. Two uncoupled analytical models are presented which provide estimates of the dynamic time scales of both the chip and the solder in the self-alignment process. These predicted time scales can be used to decide whether a coupled dynamic analysis is required for the analysis of the chip motion. In this paper, we will show that for flip-chips, the alignment dynamics can be described accurately only when the chip motion is coupled with the solder motion because the two have similar time-scale values. To study this coupled phenomenon, a dynamic modeling method has been developed. The modeling results show that the uncoupled and coupled calculations result in significantly different predictions. The calculations based on the coupled model predict much faster rates of alignment than those predicted using the uncoupled approach.

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We present the results of two experiments investigating the factors that determine responding on the pseudo-diagnosticity task. In Expt I we manipulated people's beliefs about the degree to which an initial piece of evidence supported a focal hypothesis and found decreased pseudo-diagnostic (PD) responding when the evidence offered low support for the focal hypothesis. In Expt 2 we manipulated the instructions given to participants. We found that instructions to select evidence to help decide between the focal and the complementary hypotheses produced fewer PD responses than both instructions to decide whether the focal hypothesis was the case and instructions to decide whether its complement was the case. The results are interpreted within the framework of recent dual process theories of reasoning.

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In environments where distributed team formation is key, and defections are possible, the use of trust as social capital allows social norms to be defied and compared. An agent can use this information, when invited to join a group or collation, to decide whether or not its utility will be increased by joining. In this work a social network approach is used to define and reason about the relationships contained in the agent community. Previous baseline work is extended with two decision making mechanisms. These are compared by simulating an abstract grid-like environment, and preliminary results are reported.

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Recent years have seen a growing recognition that dementia is a terminal illness and that patients with advanced dementia nearing the end of life do not currently receive adequate palliative care. However, research into palliative care for these patients has thus far been limited. Furthermore, there has been little discussion in the literature regarding medication use in patients with advanced dementia who are nearing the end of life, and discontinuation of medication has not been well studied despite its potential to reduce the burden on the patient and to improve quality of life. There is limited, and sometimes contradictory, evidence available in the literature to guide evidence-based discontinuation of drugs such as acetylcholinesterase inhibitors, antipsychotic agents, HMG-CoA reductase inhibitors (statins), antibacterials, antihypertensives, antihyperglycaemic drugs and anticoagulants. Furthermore, end-of-life care of patients with advanced dementia may be complicated by difficulties in accurately estimating life expectancy, ethical considerations regarding withholding or withdrawing treatment, and the wishes of the patient and/or their family. Significant research must be undertaken in the area of medication discontinuation in patients with advanced dementia nearing the end of life to determine how physicians currently decide whether medications should be discontinued, and also to develop the evidence base and provide guidance on systematic medication discontinuation.

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Autonomous agents may encapsulate their principals' personal data attributes. These attributes may be disclosed to other agents during agent interactions, producing a loss of privacy. Thus, agents need self-disclosure decision-making mechanisms to autonomously decide whether disclosing personal data attributes to other agents is acceptable or not. Current self-disclosure decision-making mechanisms consider the direct benefit and the privacy loss of disclosing an attribute. However, there are many situations in which the direct benefit of disclosing an attribute is a priori unknown. This is the case in human relationships, where the disclosure of personal data attributes plays a crucial role in their development. In this paper, we present self-disclosure decision-making mechanisms based on psychological findings regarding how humans disclose personal information in the building of their relationships. We experimentally demonstrate that, in most situations, agents following these decision-making mechanisms lose less privacy than agents that do not use them. (C) 2012 Elsevier Inc. All rights reserved.

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We introduce a task-based programming model and runtime system that exploit the observation that not all parts of a program are equally significant for the accuracy of the end-result, in order to trade off the quality of program outputs for increased energy-efficiency. This is done in a structured and flexible way, allowing for easy exploitation of different points in the quality/energy space, without adversely affecting application performance. The runtime system can apply a number of different policies to decide whether it will execute less-significant tasks accurately or approximately.

The experimental evaluation indicates that our system can achieve an energy reduction of up to 83% compared with a fully accurate execution and up to 35% compared with an approximate version employing loop perforation. At the same time, our approach always results in graceful quality degradation.

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Trabalho de Projeto apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Tradução e Interpretação Especializadas, sob orientação do Mestre Alberto Couto.

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Relatório de estágio apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Gestão Estratégica das Relações Públicas.