Raman spectrum of group IV nanowires: influence of temperature

Group IV semiconductor nanowires are characterized by Raman spectroscopy. The results are analyzed in terms of the heating induced by the laser beam on the nanowires. By solving the heat transport equation one can simulate the temperature reached by the NWs under the exposure to a laser beam. The results are illustrated with Si and Si1-xGex nanowires. Both bundles of nanowires and individual nanowires are studied. The main experimental conditions contributing to the nanowire heating are discussed

Individualization and Electrical Characterization of SiGe Nanowires

SiGe nanowires of different Ge atomic fractions up to 15% were grown and ex-situ n-type doped by diffusion from a solid source in contact with the sample. The phenomenon of dielectrophoresis was used to locate single nanowires between pairs of electrodes in order to carry out electrical measurements. The measured resistance of the as-grown nanowires is very high, but it decreases more than three orders of magnitude upon doping, indicating that the doping procedure used has been effective

SiGe nanowires grown by LPCVD using Ga-Au catalysts

The use of Ga-Au alloys as metal catalysts for the growth of SiGe nanowires has been investigated. The grown nanowires are cylindrical and straight, with a defect-free crystalline structure, sharp nanowire-droplet interfaces and an almost constant Ge atomic fraction throughout all their length. These features represent significant improvements over the results obtained using pure Au

Hybrid Approach Combining Machine Learning and a Rule-Based Expert System for Text Categorization

This paper discusses a novel hybrid approach for text categorization that combines a machine learning algorithm, which provides a base model trained with a labeled corpus, with a rule-based expert system, which is used to improve the results provided by the previous classifier, by filtering false positives and dealing with false negatives. The main advantage is that the system can be easily fine-tuned by adding specific rules for those noisy or conflicting categories that have not been successfully trained. We also describe an implementation based on k-Nearest Neighbor and a simple rule language to express lists of positive, negative and relevant (multiword) terms appearing in the input text. The system is evaluated in several scenarios, including the popular Reuters-21578 news corpus for comparison to other approaches, and categorization using IPTC metadata, EUROVOC thesaurus and others. Results show that this approach achieves a precision that is comparable to top ranked methods, with the added value that it does not require a demanding human expert workload to train

SiGe/Si nanowire axial heterostructures grown by LPCVD using Ga-Au

The use of Ga-Au alloys of different compositions as metal catalysts for the growth of abrupt SiGe/Si nanowire axial heterostructures has been investigated. The heterostructures grown in a continuous process by just switching the gas precursors, show uniform nanowire diameters, almost abrupt compositional changes and no defects between the different sections. These features represent significant improvements over the results obtained using pure Au.

A novel methodology to determine the mechanical properties of amorphous materials through instrumented nanoindentation

A novel methodology based on instrumented indentation was developed to characterize the mechanical properties of amorphous materials. The approach is based on the concept of a universal postulate that assumes the existence of a characteristic indentation pressure proportional to the hardness. This hypothesis was numerically validated. This method overcomes the limitation of the conventional indentation models (pile-up effects and pressure sensitivity materials).

A first approach to the optimization of Bogotá's TransMilenio BRT system

Bus rapid transit (BRT) systems are massive transport systems with medium/high capacity, high quality service and low infrastructure and operating costs. TransMilenio is Bogotá's most important mass transportation system and one of the biggest BRT systems in the world, although it only has completed its third construction phase out of a total of eight. In this paper we review the proposals in the literature to optimize BRT system operation, with a special emphasis on TransMilenio, and propose a mathematical model that adapts elements of the above proposals and incorporates novel elements accounting for the features of TransMilenio system.

Electricity price forecasting accounting for renewable energies: optimal combined forecasts

Electricity price forecasting is an interesting problem for all the agents involved in electricity market operation. For instance, every profit maximisation strategy is based on the computation of accurate one-day-ahead forecasts, which is why electricity price forecasting has been a growing field of research in recent years. In addition, the increasing concern about environmental issues has led to a high penetration of renewable energies, particularly wind. In some European countries such as Spain, Germany and Denmark, renewable energy is having a deep impact on the local power markets. In this paper, we propose an optimal model from the perspective of forecasting accuracy, and it consists of a combination of several univariate and multivariate time series methods that account for the amount of energy produced with clean energies, particularly wind and hydro, which are the most relevant renewable energy sources in the Iberian Market. This market is used to illustrate the proposed methodology, as it is one of those markets in which wind power production is more relevant in terms of its percentage of the total demand, but of course our method can be applied to any other liberalised power market. As far as our contribution is concerned, first, the methodology proposed by García-Martos et al(2007 and 2012) is generalised twofold: we allow the incorporation of wind power production and hydro reservoirs, and we do not impose the restriction of using the same model for 24h. A computational experiment and a Design of Experiments (DOE) are performed for this purpose. Then, for those hours in which there are two or more models without statistically significant differences in terms of their forecasting accuracy, a combination of forecasts is proposed by weighting the best models(according to the DOE) and minimising the Mean Absolute Percentage Error (MAPE). The MAPE is the most popular accuracy metric for comparing electricity price forecasting models. We construct the combi nation of forecasts by solving several nonlinear optimisation problems that allow computation of the optimal weights for building the combination of forecasts. The results are obtained by a large computational experiment that entails calculating out-of-sample forecasts for every hour in every day in the period from January 2007 to Decem ber 2009. In addition, to reinforce the value of our methodology, we compare our results with those that appear in recent published works in the field. This comparison shows the superiority of our methodology in terms of forecasting accuracy.

An Ant Colony System adaptation to deal with accessibility issues after a disaster

One of the main problems relief teams face after a natural or man-made disaster is how to plan rural road repair work tasks to take maximum advantage of the limited available financial and human resources. Previous research focused on speeding up repair work or on selecting the location of health centers to minimize transport times for injured citizens. In spite of the good results, this research does not take into account another key factor: survivor accessibility to resources. In this paper we account for the accessibility issue, that is, we maximize the number of survivors that reach the nearest regional center (cities where economic and social activity is concentrated) in a minimum time by planning which rural roads should be repaired given the available financial and human resources. This is a combinatorial problem since the number of connections between cities and regional centers grows exponentially with the problem size, and exact methods are no good for achieving an optimum solution. In order to solve the problem we propose using an Ant Colony System adaptation, which is based on ants? foraging behavior. Ants stochastically build minimal paths to regional centers and decide if damaged roads are repaired on the basis of pheromone levels, accessibility heuristic information and the available budget. The proposed algorithm is illustrated by means of an example regarding the 2010 Haiti earthquake, and its performance is compared with another metaheuristic, GRASP.

O Teste de Apercepção Temática (TAT) em adultos: dados normativos para o sistema morvaliano

No contexto da pesquisa e utilização prática das técnicas de autoexpressão, o Teste de Apercepção Temática (TAT) apresenta reconhecidas vantagens. Apesar de linhas de pesquisa bastante desenvolvidas internacionalmente, não existem estudos atuais sobre as propriedades deste instrumento no Brasil, levantando a necessidade de conhecer seus alcances e limites nesse contexto cultural. Desse modo, o desenvolvimento de normas que descrevam o desempenho típico de uma população não clínica se mostra um importante passo inicial rumo à retomada da pesquisa com o TAT e sua adoção por profissionais. Tendo em vista que a validação das técnicas de autoexpressão se refere aos sistemas de classificação e não aos instrumentos em si, o presente estudo adotou, dentre a miríade de sistemas de categorização das histórias do TAT descritos na literatura, o sistema proposto por Monique Morval, que foi desenvolvido para estudantes e profissionais com pouca experiência com o TAT, utilizando pressupostos da Personologia de Henry Murray, Psicologia Cognitiva e Psicologia do Ego, possibilitando leituras objetivas e qualitativas do material. Considerando o potencial de utilização desse sistema por parte dos psicólogos brasileiros - visto sua semelhança com o atual sistema aprovado para uso pelo Sistema de Avaliação dos Testes Psicológicos (SATEPSI) do Conselho Federal de Psicologia - foram feitos aprimoramentos no assim chamado sistema morvaliano, possibilitando sua adoção no estudo normativo proposto pelo presente projeto. Tais aprimoramentos consistiram na revisão e adição de categorias e subcategorias, a partir de trabalhos brasileiros e internacionais sobre o instrumento. Desta forma, o presente estudo teve por objetivo desenvolver normas para o TAT (Sistema Morvaliano) em adultos, a partir de uma amostra não clínica, aleatória e estratificada por critérios de idade, sexo, escolaridade e nível socioeconômico (NSE) da cidade de Ribeirão Preto (SP). Os participantes foram 100 adultos (25 a 44 anos de idade), selecionados através de visita a domicílios sorteados em bairros de diferentes NSE. Foram realizadas entrevistas de avaliação psicológica individuais, utilizando um roteiro de entrevista semiestruturada, o Teste de Inteligência Geral Não-Verbal (TIG-NV) e 20 cartões do TAT, pré-selecionados de acordo com as recomendações do manual original do instrumento. As histórias do TAT foram categorizadas no sistema morvaliano revisado e seus dados passaram por análises estatísticas e sínteses qualitativas em busca de diferenças de desempenho relacionadas ao sexo, escolaridade e NSE. Os resultados mostram poucas diferenças entre os grupos que justifiquem a elaboração de normas específicas; apesar disso, foi identificada uma tendência (ainda que pequena) de o nível de escolaridade e o NSE favorecerem um melhor desempenho nas variáveis relativas à organização formal das histórias. São discutidas as implicações dos dados obtidos em termos do perfil normativo de desempenho nas variáveis do sistema morvaliano, suas evidências preliminares de validade e futuras direções para estudos sobre o TAT nesse sistema.

Life satisfaction and health related quality of life during pregnancy and puerperium

Poster submitted to the 22nd International Conference Stress and Anxiety Research Society (STAR), Palma de Mallorca, July, 12-14, 2001.

M-AARE - Coupling atmospheric, hydrological, hydrodynamic and damage models in the Aare river basin, Switzerland

The triggering mechanism and the temporal evolution of large flood events, especially of worst-case scenarios, are not yet fully understood. Consequently, the cumulative losses of extreme floods are unknown. To study the link between weather conditions, discharges and flood losses it is necessary to couple atmospheric, hydrological, hydrodynamic and damage models. The objective of the M-AARE project is to test the potentials and opportunities of a model chain that relates atmospheric conditions to flood losses or risks. The M-AARE model chain is a set of coupled models consisting of four main components: the precipitation module, the hydrology module, the hydrodynamic module, and the damage module. The models are coupled in a cascading framework with harmonized time-steps. First exploratory applications show that the one way coupling of the WRF-PREVAH-BASEMENT models has been achieved and provides promising new insights for a better understanding of key aspects in flood risk analysis.