Análise do crescimento econômico no Rio Grande do Sul através da aplicação de cadeias de markov

O estudo do crescimento econômico é de suma importância para que possamos averiguar a trajetória de uma economia ao longo do tempo, a proposta desse trabalho é analisar o crescimento econômico no estado do Rio Grande do Sul, através do instrumental das cadeias de Markov, a ideia principal do estudo está na hipótese de convergência de renda. Primeiramente será testado a hipótese de convergência de renda do estado por meio das microrregiões, para isso serão utilizados dados de produto per capita dos anos de 1990, 2000 e 2010. Também será testado a hipótese de convergência para os municípios do Conselho Regional de Desenvolvimento Sul, situado no Rio Grande do Sul, utilizando dados de renda per capita dos anos de 1991, 2000 e 2010. Os resultados obtidos para as microrregiões do Rio Grande do Sul mostram que as economias não estão convergindo em sua totalidade para uma classe de renda especifica, porém é percebido que no longo prazo haverá uma maior concentração das microrregiões nos extratos de renda próximos a média, o tempo esperado para que as economias cheguem ao seu estado estacionário é de seis períodos. Por meio dos resultados obtidos para a região do Corede Sul, temos que as economias convergirão em sua maioria para a classe de renda médio pobre, seguido pela classe dos médio ricos. Ambas as classes estão situadas próximas a média regional, sendo que as classes de renda pobre e rico situadas aos extremos serão extintas no longo prazo. O tempo esperado para que as economias cheguem ao estado estacionário é de onze períodos.

Defining a management strategy for the azorean natural thermal resources : valuing criteria identification

Dissertação de Mestrado, Gestão de Empresas (MBA), 23 de Maio de 2016, Universidade dos Açores.

Indoor air quality in schools and its relationship with children's respiratory symptoms

A cross-sectional survey was conducted to characterize the indoor air quality (IAQ) in schools and its relationship with children's respiratory symptoms. Concentrations of volatile organic compounds (VOC), aldehydes, PM2.5, PM10, carbon dioxide, bacteria and fungi were assessed in 73 classrooms from 20 public primary schools located in Porto, Portugal. Children who attended the selected classrooms (n = 1134) were evaluated by a standardised health questionnaire completed by the legal guardians; spirometry and exhaled nitric oxide tests. The results indicated that no classrooms presented individual VOC pollutant concentrations higher than the WHO IAQ guidelines or by INDEX recommendations; while PM2.5, PM10 and bacteria levels exceeded the WHO air quality guidelines or national limit values. High levels of total VOC, acetaldehyde, PM2.5 and PM10 were associated with higher odds of wheezing in children. Thus, indoor air pollutants, some even at low exposure levels, were related with the development of respiratory symptoms. The results pointed out that it is crucial to take into account the unique characteristics of the public primary schools, to develop appropriate control strategies in order to reduce the exposure to indoor air pollutants and, therefore, to minimize the adverse health effects.

When males are more inclined to stay at home :Insights into the partial migration of a pelagic seabird provided by geolocators and isotopes

Partial migration has never been studied in pelagic seabirds, but investigating old unresolved questions in new contexts can provide useful fresh insights. We used geolocators and stable isotopes to investigate this phenomenon in a migratory pelagic seabird, the Cory’s shearwater (Calonectris diomedea). Although most birds migrated to the southern hemisphere, 8.1% of studied birds (N = 172) remained close to the breeding colony (Selvagem Grande, Madeira, Portugal), foraging within the Canary current. Almost all resident birds were males, while age or body size did not predict migratory status. Despite displaying a high repeatability (R = 0.72) in the choice of wintering area, residency was not a fixed strategy and individuals could switch between migrating and staying in the Canary current in different years. The predictions resulting from the “body size” and the “social dominance” hypotheses, in which larger individuals or dominant individuals, respectively, remain closer to the breeding areas, were not supported by our data. Resident males were able to occupy the nesting burrows much earlier than migratory males and arrival time in this species is known to affect the probability of engaging in a reproductive attempt. The selective pressure to arrive early at the colony is therefore the most likely explanation for the maintenance of this partial migration system.

PRODUTOS FLORESTAIS NÃO MADEIREIROS E VALOR POTENCIAL DE EXPLORAÇÃO SUSTENTÁVEL DA FLORESTA ATLÂNTICA NO SUL DE SANTA CATARINA

Este estudo indicou os produtos florestais não madeireiros (PFNM) associados a espécies arbóreas dos remanescentes de Floresta Ombrófila Densa estudados no Sul de Santa Catarina. As espécies analisadas foram hierarquizadas com base na análise de valor potencial de exploração sustentável (VPES) dos PFNM, integrando-se às seguintes informações obtidas a partir de revisão bibliográfica: densidade, parte usada, capacidade de regeneração natural e crescimento, conhecimento sobre biologia reprodutiva e dinâmica populacional, processamento requerido e nível de injúria ou toxicidade. Os resultados obtidos evidenciam ser possível a conservação e desenvolvimento regional, a partir de alternativas sustentáveis de uso dos recursos florestais. Das 79 espécies observadas, 38 atingiram VPES igual ou superior a 10, sendo consideradas de elevado potencial de exploração sustentável de PFNM.

Bases para la gobernanza del distrito de ciencia, tecnología e innovación en Medellín, Colombia

El objetivo de este trabajo es analizar las bases de gobernanza del Distrito de ciencia, tecnología e innovación de Medellín en Colombia, mediante una revisión de literatura e integración de trabajos inéditos de los autores para ilustrar aspectos claves de la administración de este nuevo arreglo institucional. Los resultados muestran que la gobernanza del Distrito se basa en la lectura de las dinámicas y tendencias territoriales, la integración de intereses entre los agentes y la gestión de la ciencia, la tecnología y la innovación. 

[France's margins and the necessary territorial attractiveness].

International audience

Gabriele Strobel-Eisele: Schule und soziale Evolution. System- und evolutionstheoretische Untersuchungen zur Entstehung und Entwicklung der Schule. Weinheim: Deutscher Studien Verlag 1992 [...] [Sammelrezension]

Sammelrezension von: 1. Gabriele Strobel-Eisele: Schule und soziale Evolution. System- und evolutionstheoretische Untersuchungen zur Entstehung und Entwicklung der Schule. Weinheim: Deutscher Studien Verlag 1992, 261 S. 2. Christel Adick: Die Universalisierung der modernen Schule. Eine theoretische Problemskizze zur Erklärung der weltweiten Verbreitung der modernen Schule in den letzten 200 Jahren mit Fallstudien aus Westafrika. (Internationale Gegenwart. Bd. 9.) Paderborn: Schöningh 1992, 312 S.

Robust Stereo Visual Odometry through a Probabilistic Combination of Points and Line Segments

Most approaches to stereo visual odometry reconstruct the motion based on the tracking of point features along a sequence of images. However, in low-textured scenes it is often difficult to encounter a large set of point features, or it may happen that they are not well distributed over the image, so that the behavior of these algorithms deteriorates. This paper proposes a probabilistic approach to stereo visual odometry based on the combination of both point and line segment that works robustly in a wide variety of scenarios. The camera motion is recovered through non-linear minimization of the projection errors of both point and line segment features. In order to effectively combine both types of features, their associated errors are weighted according to their covariance matrices, computed from the propagation of Gaussian distribution errors in the sensor measurements. The method, of course, is computationally more expensive that using only one type of feature, but still can run in real-time on a standard computer and provides interesting advantages, including a straightforward integration into any probabilistic framework commonly employed in mobile robotics.

Improving drug discovery using hybrid softcomputing methods

Virtual screening (VS) methods can considerably aid clinical research, predicting how ligands interact with drug targets. Most VS methods suppose a unique binding site for the target, but it has been demonstrated that diverse ligands interact with unrelated parts of the target and many VS methods do not take into account this relevant fact. This problem is circumvented by a novel VS methodology named BINDSURF that scans the whole protein surface in order to find new hotspots, where ligands might potentially interact with, and which is implemented in last generation massively parallel GPU hardware, allowing fast processing of large ligand databases. BINDSURF can thus be used in drug discovery, drug design, drug repurposing and therefore helps considerably in clinical research. However, the accuracy of most VS methods and concretely BINDSURF is constrained by limitations in the scoring function that describes biomolecular interactions, and even nowadays these uncertainties are not completely understood. In order to improve accuracy of the scoring functions used in BINDSURF we propose a hybrid novel approach where neural networks (NNET) and support vector machines (SVM) methods are trained with databases of known active (drugs) and inactive compounds, being this information exploited afterwards to improve BINDSURF VS predictions.

Improvement of Virtual Screening Predictions using Computational Intelligence Methods

Virtual Screening (VS) methods can considerably aid clinical research, predicting how ligands interact with drug targets. However, the accuracy of most VS methods is constrained by limitations in the scoring function that describes biomolecular interactions, and even nowadays these uncertainties are not completely understood. In order to improve accuracy of scoring functions used in most VS methods we propose a hybrid novel approach where neural networks (NNET) and support vector machines (SVM) methods are trained with databases of known active (drugs) and inactive compounds, this information being exploited afterwards to improve VS predictions.

Improving drug discovery using a neural networks based parallel scoring function

Virtual Screening (VS) methods can considerably aid clinical research, predicting how ligands interact with drug targets. Most VS methods suppose a unique binding site for the target, but it has been demonstrated that diverse ligands interact with unrelated parts of the target and many VS methods do not take into account this relevant fact. This problem is circumvented by a novel VS methodology named BINDSURF that scans the whole protein surface to find new hotspots, where ligands might potentially interact with, and which is implemented in massively parallel Graphics Processing Units, allowing fast processing of large ligand databases. BINDSURF can thus be used in drug discovery, drug design, drug repurposing and therefore helps considerably in clinical research. However, the accuracy of most VS methods is constrained by limitations in the scoring function that describes biomolecular interactions, and even nowadays these uncertainties are not completely understood. In order to solve this problem, we propose a novel approach where neural networks are trained with databases of known active (drugs) and inactive compounds, and later used to improve VS predictions.

Information and communication technologies in tourism: challenges and trends

The integration of Information and Communication Technologies (ICT) in the tourism industry is an essential element for the success of any tourism enterprise. ICTs provide access to information of tourism products from anywhere and at any time. Tour companies may also reach out to target customers around the world through a series of emerging technologies. This paper aims to make a review of the main key factors of ICT in Tourism. Aspects such as the quality of the website, Digital Marketing, Social Networking, Multimedia, Mobile Technologies and Intelligent Environments are discussed.

SQMS – A prototype for a supplier quality management system

Within the supply chain, the customer does not simply buy parts or services from suppliers, but also buys supplier capabilities, which results in quality products and services. Having a tool that handles the Inspection as well as the Nonconformance, Complaint, Corrective Action and Concession processes is key to successfully track the supplier performance. Taking as a case study a Supplier Quality Management (SQM) currently in operation in an Original Equipment Manufacturer (OEM) for automotive industry, this paper presents a platform to support a Supplier Quality Management System (SQMS), that fits the technical specification ISO/TS 16949 requirements. This prototype is composed by a web platform and a mobile App, having flexibility and mobility as key main characteristics.

Distribution and at-sea activity of a nocturnal seabird, the Bulwer's petrel Bulweria bulwerii, during the incubation period

Bulwer'spetrelsarenocturnalseabirdsthatmostlypreyonmesopelagicfauna.Asaerialforagersand shallowdivers,theirfeedingopportunitiesarelimitedbynear-surfaceavailabilityoftheirprey,whichis highlyvariablebothtemporally(reflectingdiurnalandlunarcycles)andspatially.Herewestudiedhow Bulwer'spetrelscopewiththeseconstraintsbyanalysingtheirat-seadistributionandactivityduringthe incubationperiod.Wetrackedthemovementsof20birdsfromSelvagemGrande(NEAtlantic)duringa completelunarcycle,andrecorded30foragingtripsthatlasted11daysonaverage.Birdswereboth distributedaroundthecolonyandinwatersclosetotheAzoreanarchipelago(mid-Atlantic)located 1700kmaway,andweresignificantlymoreactiveatnight(especiallyjustaftersunsetandbeforesunrise), whenmesopelagicfaunaisalsoclosertotheseasurfaceduetotheirdielverticalmigrations.Bulwer's petrelsspentsignificantlymoretime flyingduringmoonlight,althoughtheeffectofthemoonwasrela- tivelyweak(ca.10–15%differencebetweenmoonlitanddarkperiodsofthenight),andnotobviouswhen birdswereforaginginmid-Atlanticwaters,whichwerealsotargetedmoreoftenduringfull-moon.These resultsrevealkeyadaptationsoftheBulwer'spetreltothehighlydynamicecologyofitsmesopelagicprey.