Detecting environmental impacts on metapopulations of mound spring invertebrates - Assessing an incidence function model

We use a stochastic patch occupancy model of invertebrates in the Mound Springs ecosystem of South Australia to assess the ability of incidence function models to detect environmental impacts on metapopulations. We assume that the probability of colonisation decreases with increasing isolation and the probability of extinction is constant across spring vents. We run the models to quasi-equilibrium, and then impose an impact by increasing the local extinction probability. We sample the output at various times pre- and postimpact, and examine the probability of detecting a significant change in population parameters. The incidence function model approach turns out to have little power to detect environmental impacts on metapopulations with small numbers of patches. (C) 2001 Elsevier Science Ltd. All rights reserved.

Estimating and evaluating the statistics of gapped local-alignment scores

We present a novel maximum-likelihood-based algorithm for estimating the distribution of alignment scores from the scores of unrelated sequences in a database search. Using a new method for measuring the accuracy of p-values, we show that our maximum-likelihood-based algorithm is more accurate than existing regression-based and lookup table methods. We explore a more sophisticated way of modeling and estimating the score distributions (using a two-component mixture model and expectation maximization), but conclude that this does not improve significantly over simply ignoring scores with small E-values during estimation. Finally, we measure the classification accuracy of p-values estimated in different ways and observe that inaccurate p-values can, somewhat paradoxically, lead to higher classification accuracy. We explain this paradox and argue that statistical accuracy, not classification accuracy, should be the primary criterion in comparisons of similarity search methods that return p-values that adjust for target sequence length.

The Main Determinants of the Use of the Cost Accounting System in Portuguese Local Government

This paper explores the main determinants of the use of the cost accounting system (CAS) in Portuguese local government (PLG). Regression analysis is used to study the fit of a model of accounting changes in PLG, focused on cost accounting systems oriented to activities and outputs. Based on survey data gathered from PLG, we have found that the use of information in decision-making and external reporting is still a mirage. We obtain evidence about the influence of the internal organizational context (especially the lack of support and difficulties in the CAS implementation) in the use for internal purposes, while the institutional environment (like external pressures to implement the CAS) appears to be more deterministic of the external use. Results strengthen the function of external reporting to legitimate the organization’s activities to external stakeholders. On the other hand, some control variables (like political competition, usefulness and experience) also evidence some explanatory power in the model. Some mixed results were found that appeal to further research in the future. Our empirical results contribute to understand the importance of interconnecting the contingency and institutional approaches to gain a clear picture of cost accounting changes in the public sector.

Biologia e abundância do camarão Plesionika edwardsii (Brandt, 1851) nos Açores

Dissertação de Mestrado, Estudos Integrados dos Oceanos, 15 de Janeiro de 2009, Universidade dos Açores.

Espiritualidade no local de trabalho : da liderança ao empenhamento na Cybermap, Lda

Dissertação de Mestrado em Gestão de Empresas/MBA

An Evaluation of Local Feature Combiners for Robot Visual Localization

In the last decade, local image features have been widely used in robot visual localization. To assess image similarity, a strategy exploiting these features compares raw descriptors extracted from the current image to those in the models of places. This paper addresses the ensuing step in this process, where a combining function must be used to aggregate results and assign each place a score. Casting the problem in the multiple classifier systems framework, we compare several candidate combiners with respect to their performance in the visual localization task. A deeper insight into the potential of the sum and product combiners is provided by testing two extensions of these algebraic rules: threshold and weighted modifications. In addition, a voting method, previously used in robot visual localization, is assessed. All combiners are tested on a visual localization task, carried out on a public dataset. It is experimentally demonstrated that the sum rule extensions globally achieve the best performance. The voting method, whilst competitive to the algebraic rules in their standard form, is shown to be outperformed by both their modified versions.

A influência do local de estimulação ventricular na incidência de taquiarritmias auriculares em doentes com pacemaker permanente

Mestrado em Tecnologia de Diagnóstico e Intervenção Cardiovascular

From local to global importance measures of uncertainty propagation in composite structures

The influence of uncertainties of input parameters on output response of composite structures is investigated in this paper. In particular, the effects of deviations in mechanical properties, ply angles, ply thickness and on applied loads are studied. The uncertainty propagation and the importance measure of input parameters are analysed using three different approaches: a first-order local method, a Global Sensitivity Analysis (GSA) supported by a variance-based method and an extension of local variance to estimate the global variance over the domain of inputs. Sample results are shown for a shell composite laminated structure built with different composite systems including multi-materials. The importance measures of input parameters on structural response based on numerical results are established and discussed as a function of the anisotropy of composite materials. Needs for global variance methods are discussed by comparing the results obtained from different proposed methodologies. The objective of this paper is to contribute for the use of GSA techniques together with low expensive local importance measures.

Combining global tabu search with local search for solving systems of equalities and inequalities

This papers aims at providing a combined strategy for solving systems of equalities and inequalities. The combined strategy uses two types of steps: a global search step and a local search step. The global step relies on a tabu search heuristic and the local step uses a deterministic search known as Hooke and Jeeves. The choice of step, at each iteration, is based on the level of reduction of the l2-norm of the error function observed in the equivalent system of equations, compared with the previous iteration.

Robot visual localization through local feature fusion: an evaluation of multiple classifiers combination approaches

In the last decade, local image features have been widely used in robot visual localization. In order to assess image similarity, a strategy exploiting these features compares raw descriptors extracted from the current image with those in the models of places. This paper addresses the ensuing step in this process, where a combining function must be used to aggregate results and assign each place a score. Casting the problem in the multiple classifier systems framework, in this paper we compare several candidate combiners with respect to their performance in the visual localization task. For this evaluation, we selected the most popular methods in the class of non-trained combiners, namely the sum rule and product rule. A deeper insight into the potential of these combiners is provided through a discriminativity analysis involving the algebraic rules and two extensions of these methods: the threshold, as well as the weighted modifications. In addition, a voting method, previously used in robot visual localization, is assessed. Furthermore, we address the process of constructing a model of the environment by describing how the model granularity impacts upon performance. All combiners are tested on a visual localization task, carried out on a public dataset. It is experimentally demonstrated that the sum rule extensions globally achieve the best performance, confirming the general agreement on the robustness of this rule in other classification problems. The voting method, whilst competitive with the product rule in its standard form, is shown to be outperformed by its modified versions.

Bioactive beads for local sensing of proteases in 3D engineered tissues

Dissertação para obtenção do Grau de Doutor em Bioengenharia (MIT)

Development of population-specific function assessment intrument in Lebanon

RESUMO: Contexto: O funcionamento tem sido reconhecido como um dos principais indicadores de resultados para avaliar se as pessoas beneficiam das intervenções destinadas a melhorar a sua saúde mental. O funcionamento refere-se à forma como um indivíduo consegue responder às suas tarefas e solicitações, dos seus familiares e da sua comunidade, de acordo com os requisitos do local e a cultura em que vive (eg, tarefa de cozinhar e limpar para as mulheres em algumas culturas ). O funcionamento é altamente dependente da cultura - por isso, tem sido recomendado o desenvolvimento de medidas de funcionamento específicas de cada cultura. Desenvolver localmente os instrumentos de medida evita problemas de adequação, associados com a adaptação de instrumentos ocidentais. Embora os instrumentos criados desta forma sejam específicos de um meio cultural, eles são simultaneamente "transculturais", no sentido em que cada um se refere às tarefas mais importantes para a população local . Esta abordagem mostrou-se útil para investigadores e agências de ajuda (eg, ONGs) que trabalham em países não-ocidentais . Este estudo descreve o trabalho da agência International Medical Corps (IMC) na criação e validação de um questionário de funcionamento específico nas dimensões cultura e gênero, no Líbano, destinado a avaliar eventuais melhorias em pessoas que receberam intervenções de para problemas de saúde mental, a nível dos cuidados primários de saúde. Método: O instrumento foi desenvolvido usando um método que é uma alternativa à abordagem existente de adaptação de instrumentos ocidentais a outras culturas e situações; esta abordagem é rápida e exequível, tendo já demonstrado ser útil no desenvolvimento de instrumentos válidos e fidedignos. Inicialmente, foi solicitado que as pessoas identificassem, de uma lista livre, as tarefas mais importantes para cuidar de si próprias, da sua família e da sua comunidade; as tarefas identificadas foram posteriormente usadas como base para um instrumento de avaliação de funcionamento culturalmente válido. A partir daqui, foram desenvolvidos questionários específicos da comunidade em questão, posteriormente testados no terreno nas vertentes da validade (de conteúdo, facial e de constructo) e da fiabilidade (teste-reste e inter-entrevistadores). Resultados. O estudo resultou na criação e validação de um questionário de funcionamento específico de cultura e gênero capaz de medir efectivamente a capacidade de execução de tarefas importantes do quotidiano,como parte da avaliação de resultados levada a cabo por profissionais da CSP previamente treinados na identificação, suporte e encaminhamento de pessoas com problemas de saúde mental no Líbano. Conclusão. Neste trabalho descreve-se o desenvolvimento de um questionário de funcionamento específico de cultura e gênero, orientado para a avaliação de resultados, num contexto mais lato de um sistema abrangente de avaliação e monitorização de um serviço comunitário. --------------ABSTRACT: Background. Functioning has been recognized as one of the most important key outcomes to assess whether people benefit from interventions aimed to improve their mental health. Functioning refers to how well na individual can complete the tasks and demands for themselves, their family, and their community which are required by them depending on the setting and the culture they live in (e.g. task of cooking and cleaning for women in some cultures). Functioning is highly dependent on culture. Therefore, it has been recommended to develop culture-specific measures of function. Developing instruments locally avoids the problems of limited local relevance and appropriateness associate with adapting western instruments. Although each instrument created in this way is culturally bound, they are “cross cultural” in the sense that each refers to the tasks most important to local people. This approach proves useful for both researchers and aid agencies working in non-western countries. This study describes International Medical Corps’ (IMC) work in Lebanon to create and validate a culture and gender specific functioning questionnaire to assess improvements in people who received treatment interventions for mental health problems at the primary health care (PHC) level. Method. The measure was developed using a method that is an alternative to the existing approach of adapting western function instruments to other cultures and situations; an approach which has been demonstrated as rapid, feasible and which can yield valid and reliable instruments. Function was assessed by first asking local people what tasks are important to care for themselves, their family and their community using free listing, then using these tasks as the basis for a culturally valid function assessment instrument. Community specific function questionnaires based on these tasks were then created, and field-tested for validity using content, face and construct validity methods, and also field tested for reliability using inter-rater and test retest reliability methods. Results. The study resulted in the creation and validation of a culture and gender specific functioning questionnaire that would effectively measure the ability to do tasks important to daily existence, as part of assessing client level outcomes where PHC providers were trained in the identification, management and referral of people with mental health problems in Lebanon. Conclusion. The paper describes a successful pilot for developing culture and gender specific functioning questionnaires that evaluate client level outcomes as part of a more comprehensive system for monitoring and evaluation of community based case management supports and services.

Constraint reasoning with local search for continuous optimization

Optimization is a very important field for getting the best possible value for the optimization function. Continuous optimization is optimization over real intervals. There are many global and local search techniques. Global search techniques try to get the global optima of the optimization problem. However, local search techniques are used more since they try to find a local minimal solution within an area of the search space. In Continuous Constraint Satisfaction Problems (CCSP)s, constraints are viewed as relations between variables, and the computations are supported by interval analysis. The continuous constraint programming framework provides branch-and-prune algorithms for covering sets of solutions for the constraints with sets of interval boxes which are the Cartesian product of intervals. These algorithms begin with an initial crude cover of the feasible space (the Cartesian product of the initial variable domains) which is recursively refined by interleaving pruning and branching steps until a stopping criterion is satisfied. In this work, we try to find a convenient way to use the advantages in CCSP branchand- prune with local search of global optimization applied locally over each pruned branch of the CCSP. We apply local search techniques of continuous optimization over the pruned boxes outputted by the CCSP techniques. We mainly use steepest descent technique with different characteristics such as penalty calculation and step length. We implement two main different local search algorithms. We use “Procure”, which is a constraint reasoning and global optimization framework, to implement our techniques, then we produce and introduce our results over a set of benchmarks.

Prostate innervation and local anesthesia in prostate procedures

The nerve supply of the human prostate is very abundant, and knowledge of the anatomy contributes to successful administration of local anesthesia. However, the exact anatomy of extrinsic neuronal cell bodies of the autonomic and sensory innervation of the prostate is not clear, except in other animals. Branches of pelvic ganglia composed of pelvic (parasympathetic) and hypogastric (sympathetic) nerves innervate the prostate. The autonomic nervous system plays an important role in the growth, maturation, and secretory function of this gland. Prostate procedures under local anesthesia, such as transurethral prostatic resections or transrectal ultrasound-guided prostatic biopsy, are safe, simple, and effective. Local anesthesia can be feasible for many special conditions including uncomplicated prostate surgery and may be particularly useful for the high-risk group of patients for whom inhalation or spinal anesthesia is inadvisable.

Heliconia acuminata reproductive success is independent of local floral density

Reproductive plants in tropical forests are patchily distributed, with some in large aggregations of reproductive consepecifics while others are relatively isolated. This variation in floral density is hypothesized to have a major effect on plant reproductive success, since individuals in higher density neighborhoods can attract more or higher quality pollinators. We experimentally tested this hypothesis with populations of the understory herb Heliconia acuminata in central Amazonia. We created replicated plots in which reproductive plant density spanned the range of naturally occurring floral neighborhood size, then measured three surrogates of plant fitness in focal plants in each array. There was no significant difference between any of the three floral neighborhood treatments in total seed production, fruit set, or the number of seeds produced per fruit. Pollinator visitation rates to plants in all treatments were extremely low, with many plants not visited at all during the observation period. This could be because H. acuminata's hummingbird pollinators are unable to find the widely scattered reproductive plants, however this hypothesis appears unlikely. Instead, natural flowering plant densities may simply be below the threshold value at which neighborhood effects become important, even in "high-density" aggregations. Nutrient limitation, selective fruit abortion, and reproduction via male rather than female function may also be playing a role. We argue the absence of neighborhood effects may be a general phenomenon in central Amazonian forests, though additional experiments with other plant-pollinator systems are needed to determine the extent to which this hypothesis is supported.