67 resultados para dynamic managerial capabilities


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Chronic Low Back Pain (CLBP) is a public health problem and older women have higher incidence of this symptom, which affect body balance, functional capacity and behavior. The purpose of this study was to verifying the effect of exercises with Nintendo Wii on CLBP, functional capacity and mood of elderly. Thirty older women (68 ± 4 years; 68 ± 12 kg; 154 ± 5 cm) with CLBP participated in this study. Elderly individuals were divided into a Control Exercise Group (n = 14) and an Experimental Wii Group (n = 16). Control Exercise Group did strength exercises and core training, while Experimental Wii Group did ones additionally to exercises with Wii. CLBP, balance, functional capacity and mood were assessed pre and post training by the numeric pain scale, Wii Balance Board, sit to stand test and Profile of Mood States, respectively. Training lasted eight weeks and sessions were performed three times weekly. MANOVA 2 x 2 showed no interaction on pain, siting, stand-up and mood (P = 0.53). However, there was significant difference within groups (P = 0.0001). ANOVA 2 x 2 showed no interaction for each variable (P > 0.05). However, there were significant differences within groups in these variables (P < 0.05). Tukey's post-hoc test showed significant difference in pain on both groups (P = 0.0001). Wilcoxon and Mann-Whitney tests identified no significant differences on balance (P > 0.01). Capacity to Sit improved only in Experimental Wii Group (P = 0.04). In conclusion, physical exercises with Nintendo Wii Fit Plus additional to strength and core training were effective only for sitting capacity, but effect size was small.

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Contextualization is critical in every decision making process. Adequate responses to problems depend not only on the variables with direct influence on the outcomes, but also on a correct contextualization of the problem regarding the surrounding environment. Electricity markets are dynamic environments with increasing complexity, potentiated by the last decades' restructuring process. Dealing with the growing complexity and competitiveness in this sector brought the need for using decision support tools. A solid example is MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), whose players' decisions are supported by another multiagent system – ALBidS (Adaptive Learning strategic Bidding System). ALBidS uses artificial intelligence techniques to endow market players with adaptive learning capabilities that allow them to achieve the best possible results in market negotiations. This paper studies the influence of context awareness in the decision making process of agents acting in electricity markets. A context analysis mechanism is proposed, considering important characteristics of each negotiation period, so that negotiating agents can adapt their acting strategies to different contexts. The main conclusion is that context-dependant responses improve the decision making process. Suiting actions to different contexts allows adapting the behaviour of negotiating entities to different circumstances, resulting in profitable outcomes.

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We consider a dynamic setting-price duopoly model in which a dominant (leader) firm moves first and a subordinate (follower) firm moves second. We suppose that each firm has two different technologies, and uses one of them according to a certain probability distribution. The use of either one or the other technology affects the unitary production cost. We analyse the effect of the production costs uncertainty on the profits of the firms, for different values of the intercept demand parameters.

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The Container Loading Problem (CLP) literature has traditionally evaluated the dynamic stability of cargo by applying two metrics to box arrangements: the mean number of boxes supporting the items excluding those placed directly on the floor (M1) and the percentage of boxes with insufficient lateral support (M2). However, these metrics, that aim to be proxies for cargo stability during transportation, fail to translate real-world cargo conditions of dynamic stability. In this paper two new performance indicators are proposed to evaluate the dynamic stability of cargo arrangements: the number of fallen boxes (NFB) and the number of boxes within the Damage Boundary Curve fragility test (NB_DBC). Using 1500 solutions for well-known problem instances found in the literature, these new performance indicators are evaluated using a physics simulation tool (StableCargo), replacing the real-world transportation by a truck with a simulation of the dynamic behaviour of container loading arrangements. Two new dynamic stability metrics that can be integrated within any container loading algorithm are also proposed. The metrics are analytical models of the proposed stability performance indicators, computed by multiple linear regression. Pearson’s r correlation coefficient was used as an evaluation parameter for the performance of the models. The extensive computational results show that the proposed metrics are better proxies for dynamic stability in the CLP than the previous widely used metrics.

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Este estudo teve como enfoque o papel da reflexão na escola, para transformação de práticas. Este implicou a realização de um projeto a nível de escola, que teve a colaboração e envolvimento de todos os docentes. A concretização deste projeto permitiu uma compreensão mais aprofundada de diversas potencialidades, quer do exercício da reflexão, como da colaboração entre pares, da investigação‐ação, promovendo a sua utilização, com uma participação ativa de todos. Estamos perante um estudo de natureza interpretativa, que se iniciou com a aplicação de um inquérito por questionário aos docentes participantes, implicando posteriormente, a formação de um grupo de trabalho, com recurso a encontros semanais de reflexão colaborativa, reflexões escritas em critical friend e uma entrevista final aos mesmos. Relativamente aos procedimentos de análise, estes foram do tipo qualitativo tendo‐se privilegiado o discurso oral e escrito utilizado ao longo de todo o estudo. Os resultados auferidos, não diferem muito de outros estudos que se centraram na mesma temática, reconhecendo portanto, as potencialidades formativas da reflexão colaborativa, da investigação‐ação, relativamente ao desenvolvimento dos saberes profissionais, que fomentam a construção de uma nova dinâmica na organização escola. Esta sensibilização possibilitou o desenvolvimento das nossas aprendizagens em toda a instituição facilitando assim a mudança.

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Este estudo teve como enfoque o papel da reflexão na escola, para transformação de práticas. Este implicou a realização de um projeto a nível de escola, que teve a colaboração e envolvimento de todos os docentes. A concretização deste projeto permitiu uma compreensão mais aprofundada de diversas potencialidades, quer do exercício da reflexão, como da colaboração entre pares, da investigação‐ação, promovendo a sua utilização, com uma participação ativa de todos. Estamos perante um estudo de natureza interpretativa, que se iniciou com a aplicação de um inquérito por questionário aos docentes participantes, implicando posteriormente, a formação de um grupo de trabalho, com recurso a encontros semanais de reflexão colaborativa, reflexões escritas em critical friend e uma entrevista final aos mesmos. Relativamente aos procedimentos de análise, estes foram do tipo qualitativo tendo‐se privilegiado o discurso oral e escrito utilizado ao longo de todo o estudo. Os resultados auferidos, não diferem muito de outros estudos que se centraram na mesma temática, reconhecendo portanto, as potencialidades formativas da reflexão colaborativa, da investigação‐ação, relativamente ao desenvolvimento dos saberes profissionais, que fomentam a construção de uma nova dinâmica na organização escola. Esta sensibilização possibilitou o desenvolvimento das nossas aprendizagens em toda a instituição facilitando assim a mudança.

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Context-aware recommendation of personalised tourism resources is possible because of personal mobile devices and powerful data filtering algorithms. The devices contribute with computing capabilities, on board sensors, ubiquitous Internet access and continuous user monitoring, whereas the filtering algorithms provide the ability to match the profile (interests and the context) of the tourist against a large knowledge bases of tourism resources. While, in terms of technology, personal mobile devices can gather user-related information, including the user context and access multiple data sources, the creation and maintenance of an updated knowledge base of tourism-related resources requires a collaborative approach due to the heterogeneity, volume and dynamic nature of the resources. The current PhD thesis aims to contribute to the solution of this problem by adopting a Crowdsourcing approach for the collaborative maintenance of the knowledge base of resources, Trust and Reputation for the validation of uploaded resources as well as publishers, Big Data for user profiling and context-aware filtering algorithms for the personalised recommendation of tourism resources.