Using siting algorithms in the design of marine reserve networks

Using benthic habitat data from the Florida Keys (USA), we demonstrate how siting algorithms can help identify potential networks of marine reserves that comprehensively represent target habitat types. We applied a flexible optimization tool-simulated annealing-to represent a fixed proportion of different marine habitat types within a geographic area. We investigated the relative influence of spatial information, planning-unit size, detail of habitat classification, and magnitude of the overall conservation goal on the resulting network scenarios. With this method, we were able to identify many adequate reserve systems that met the conservation goals, e.g., representing at least 20% of each conservation target (i.e., habitat type) while fulfilling the overall aim of minimizing the system area and perimeter. One of the most useful types of information provided by this siting algorithm comes from an irreplaceability analysis, which is a count of the number of, times unique planning units were included in reserve system scenarios. This analysis indicated that many different combinations of sites produced networks that met the conservation goals. While individual 1-km(2) areas were fairly interchangeable, the irreplaceability analysis highlighted larger areas within the planning region that were chosen consistently to meet the goals incorporated into the algorithm. Additionally, we found that reserve systems designed with a high degree of spatial clustering tended to have considerably less perimeter and larger overall areas in reserve-a configuration that may be preferable particularly for sociopolitical reasons. This exercise illustrates the value of using the simulated annealing algorithm to help site marine reserves: the approach makes efficient use of;available resources, can be used interactively by conservation decision makers, and offers biologically suitable alternative networks from which an effective system of marine reserves can be crafted.

An evaluation of a family psychoeducation program in community mental health

The aim of the research project was to identify the efficacy of the family psychoeducation program as a strategy for reducing the hospital admissions of young people. It also aimed to determine if the family psychoeducation program had an impact on the experience of caregiving and knowledge and satisfaction of services provided by the mental health service. A retrospective chart audit compared readmission history of 27 clients whose families attended a psychoeducation program with readmission history of a matched group of young people whose families did not attend the program. A telephone survey was conducted for both groups of families to investigate knowledge and understanding of services and burden of care. The results indicated that family participation in a brief multiple family psychoeducation program did not reduce the number or duration of admissions of the young people. There was no impact on the level of care for families who attended the psychoeducation program, however, this group showed some evidence of increased knowledge and understanding of services as compared to the control group.

Segmenting the market of West Australian senior tourists using an artificial neural network

Measuring perceptions of customers can be a major problem for marketers of tourism and travel services. Much of the problem is to determine which attributes carry most weight in the purchasing decision. Older travellers weigh many travel features before making their travel decisions. This paper presents a descriptive analysis of neural network methodology and provides a research technique that assesses the weighting of different attributes and uses an unsupervised neural network model to describe a consumer-product relationship. The development of this rich class of models was inspired by the neural architecture of the human brain. These models mathematically emulate the neurophysical structure and decision making of the human brain, and, from a statistical perspective, are closely related to generalised linear models. Artificial neural networks or neural networks are, however, nonlinear and do not require the same restrictive assumptions about the relationship between the independent variables and dependent variables. Using neural networks is one way to determine what trade-offs older travellers make as they decide their travel plans. The sample of this study is from a syndicated data source of 200 valid cases from Western Australia. From senior groups, active learner, relaxed family body, careful participants and elementary vacation were identified and discussed. (C) 2003 Published by Elsevier Science Ltd.

Product form approximations for highly linear loss networks with trunk reservation

Admission controls, such as trunk reservation, are often used in loss networks to optimise their performance. Since the numerical evaluation of performance measures is complex, much attention has been given to finding approximation methods. The Erlang Fixed-Point (EFP) approximation, which is based on an independent blocking assumption, has been used for networks both with and without controls. Several more elaborate approximation methods which account for dependencies in blocking behaviour have been developed for the uncontrolled setting. This paper is an exploratory investigation of extensions and synthesis of these methods to systems with controls, in particular, trunk reservation. In order to isolate the dependency factor, we restrict our attention to a highly linear network. We will compare the performance of the resulting approximations against the benchmark of the EFP approximation extended to the trunk reservation setting. By doing this, we seek to gain insight into the critical factors in constructing an effective approximation. (C) 2003 Elsevier Ltd. All rights reserved.

An evaluation of active lecturing in a computer networks course

The article describes an attempt to improve student learning outcomes in a computer networks course by making lectures more active learning experiences. Quick quizzes, group and individual exercises, the review of student questions, as well as multiple breaks, were incorporated into the weekly three-hour lectures. Student responses to the modified lectures was overwhelmingly positive: over 85% of respondents agreed that the lectures aided understanding, with large majorities of the respondents finding the individual activities useful to their learning. Although student examination performance improved over the previous year, performance on an examination question that was designed to examine deep understanding remained unchanged.

Link invariants associated with gauge equivalent solutions of the Yang-Baxter equation: The one-parameter family of minimal typical representations of Uq[gl(2|1)]

In this paper we investigate the construction of state models for link invariants using representations of the braid group obtained from various gauge choices for a solution of the trigonometric Yang-Baxter equation. Our results show that it is possible to obtain invariants of regular isotopy (as defined by Kauffman) which may not be ambient isotopic. We illustrate our results with explicit computations using solutions of the trigonometric Yang-Baxter equation associated with the one-parameter family of minimal typical representations of the quantum superalgebra U-q,[gl(2/1)]. We have implemented MATHEMATICA code to evaluate the invariants for all prime knots up to 10 crossings.

Exclusi??n social y pol??ticas de inclusi??n. Algunos elementos sobre la realidad europea y espa??ola

La globalizaci??n econ??mica ha impactado fuertemente en el mercado laboral europeo, abriendo puertas para el trabajo precario. Mientras el capital se torna global, el trabajo permanece local y m??s sumiso a los flujos econ??micos mundiales. Adem??s, los patrones de la sociedad de consumo se han consolidado, promoviendo nuevas desigualdades sociales y aumentando los riesgos de exclusi??n y vulnerabilidad social. La ca??da progresiva del industrialismo tambi??n afecta las principales bases de la estructura social como los roles de g??nero o las relaciones familiares. Diferentes redes aparecen como clave para la inclusi??n, especialmente en el actual contexto de crisis del Estado de Bienestar Social en que se encuentra Europa. Es decir, el an??lisis de la exclusi??n social debe tener en cuenta la evoluci??n de las pol??ticas sociales en toda Europa y la tendencia actual de descentralizaci??n y focalizaci??n de los ser vicios sociales. El objetivo de este art??culo es, por lo tanto, no s??lo describir el fen??meno de la exclusi??n social, sino tambi??n lanzar ideas para construir nuevos criterios de redefinici??n de las pol??ticas sociales.

O isolamento no Hospital Colônia Pedro Fontes, Itanhenga/ES e a caracterização da população do Educandário Alzira Bley no período de 1937 a 1979

Caracteriza e analisa a população do Educandário, com as informações provenientes de uma fonte de dados documental e histórica contida nos dois livros de registros do Educandário e seus arquivos fotográficos. As informações sobre as 3.432 pessoas compõem um banco de dados que foi construído durante a realização desta pesquisa e as fotografias foram digitalizadas. O Educandário Alzira Bley, localiza-se na BR 101 - km 9, bairro de Itanhenga - Cariacica/ES. No estudo foram realizadas entrevistas semiestruturadas com funcionários e ex-internos do Educandário, que deram vida e movimento às análises dos gráficos e tabelas elaborados a partir do banco de dados. Para o embasamento teórico do estudo da população são empregados conceitos pertinentes à transição demográfica e à transição epidemiológica, às migrações forçadas, às redes migratórias e às características da população (sexo, idade, cor, origem e suas variações) que forneceram os elementos para a análise do estado da população em diferentes momentos históricos. A Geografia Histórica completa os referenciais teóricos desta investigação, pois muitas características geográficas requerem estudos históricos para uma explicação satisfatória de como chegaram ao que são hoje. As fotografias, os depoimentos e livros de registros do Educandário propiciaram a caracterização da população que passou e/ou viveu no Educandário Alzira Bley ao longo do período das internações compulsórias no Hospital Colônia Pedro Fontes (1937-1979). Com a realização desta investigação chegamos às seguintes conclusões: a) cada geração é vítima do conhecimento científico do seu tempo; b) a transição demográfica encontrava-se em sua primeira fase nos meados do século XX, e os índices elevados de mortalidade e de fecundidade eram observados na população estudada; c) a transição epidemiológica, também em curso no Espírito Santo era caracterizada por elevada incidência das doenças infectocontagiosas, dentre as quais a hanseníase era ainda uma doença sem cura. d) o isolamento dos hansenianos em hospitais colônias, bem como seus filhos em preventórios foram movimentos de migração forçada; e) a internação compulsória dos hansenianos em hospitais colônias desencadeava uma migração em rede de familiares e demais parentes e amigos que pudessem estar com a doença.

Towards the design of efficient nonbeacon-enabled ZigBee networks

This paper presents experimental results of the communication performance evaluation of a prototype ZigBee-based patient monitoring system commissioned in an in-patient floor of a Portuguese hospital (HPG – Hospital Privado de Guimar~aes). Besides, it revisits relevant problems that affect the performance of nonbeacon-enabled ZigBee networks. Initially, the presence of hidden-nodes and the impact of sensor node mobility are discussed. It was observed, for instance, that the message delivery ratio in a star network consisting of six wireless electrocardiogram sensor devices may decrease from 100% when no hidden-nodes are present to 83.96% when half of the sensor devices are unable to detect the transmissions made by the other half. An additional aspect which affects the communication reliability is a deadlock condition that can occur if routers are unable to process incoming packets during the backoff part of the CSMA-CA mechanism. A simple approach to increase the message delivery ratio in this case is proposed and its effectiveness is verified. The discussion and results presented in this paper aim to contribute to the design of efficient networks,and are valid to other scenarios and environments rather than hospitals.

Stress affects theta activity in limbic networks and impairs novelty-induced exploration and familiarization

Exposure to a novel environment triggers the response of several brain areas that regulate emotional behaviors. Here, we studied theta oscillations within the hippocampus (HPC)-amygdala (AMY)-medial prefrontal cortex (mPFC) network in exploration of a novel environment and subsequent familiarization through repeated exposures to that same environment; in addition, we assessed how concomitant stress exposure could disrupt this activity and impair both behavioral processes. Local field potentials were simultaneously recorded from dorsal and ventral hippocampus (dHPC and vHPC respectively), basolateral amygdala (BLA) and mPFC in freely behaving rats while they were exposed to a novel environment, then repeatedly re-exposed over the course of 3 weeks to that same environment and, finally, on re-exposure to a novel unfamiliar environment. A longitudinal analysis of theta activity within this circuit revealed a reduction of vHPC and BLA theta power and vHPC-BLA theta coherence through familiarization which was correlated with a return to normal exploratory behavior in control rats. In contrast, a persistent over-activation of the same brain regions was observed in stressed rats that displayed impairments in novel exploration and familiarization processes. Importantly, we show that stress also affected intra-hippocampal synchrony and heightened the coherence between vHPC and BLA. In summary, we demonstrate that modulatory theta activity in the aforementioned circuit, namely in the vHPC and BLA, is correlated with the expression of anxiety in novelty-induced exploration and familiarization in both normal and pathological conditions.

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.