Mechanical Behavior of the Lamellar Structure in Semi-Crystalline Polymers

We have employed molecular dynamics simulations to study the behavior of virtual polymeric materials under an applied uniaxial tensile load. Through computer simulations, one can obtain experimentally inaccessible information about phenomena taking place at the molecular and microscopic levels. Not only can the global material response be monitored and characterized along time, but the response of macromolecular chains can be followed independently if desired. The computer-generated materials were created by emulating the step-wise polymerization, resulting in self-avoiding chains in 3D with controlled degree of orientation along a certain axis. These materials represent a simplified model of the lamellar structure of semi-crystalline polymers,being comprised of an amorphous region surrounded by two crystalline lamellar regions. For the simulations, a series of materials were created, varying i) the lamella thickness, ii) the amorphous region thickness, iii) the preferential chain orientation, and iv) the degree of packing of the amorphous region. Simulation results indicate that the lamella thickness has the strongest influence on the mechanical properties of the lamella-amorphous structure, which is in agreement with experimental data. The other morphological parameters also affect the mechanical response, but to a smaller degree. This research follows previous simulation work on the crack formation and propagation phenomena, deformation mechanisms at the nanoscale, and the influence of the loading conditions on the material response. Computer simulations can improve the fundamental understanding about the phenomena responsible for the behavior of polymeric materials, and will eventually lead to the design of knowledge-based materials with improved properties.

Semi-automatic 3D Segmentation Of Costal Cartilage In CT Data From Pectus Excavatum Patients

One of the current frontiers in the clinical management of Pectus Excavatum (PE) patients is the prediction of the surgical outcome prior to the intervention. This can be done through computerized simulation of the Nuss procedure, which requires an anatomically correct representation of the costal cartilage. To this end, we take advantage of the costal cartilage tubular structure to detect it through multi-scale vesselness filtering. This information is then used in an interactive 2D initialization procedure which uses anatomical maximum intensity projections of 3D vesselness feature images to efficiently initialize the 3D segmentation process. We identify the cartilage tissue centerlines in these projected 2D images using a livewire approach. We finally refine the 3D cartilage surface through region-based sparse field level-sets. We have tested the proposed algorithm in 6 noncontrast CT datasets from PE patients. A good segmentation performance was found against reference manual contouring, with an average Dice coefficient of 0.75±0.04 and an average mean surface distance of 1.69±0.30mm. The proposed method requires roughly 1 minute for the interactive initialization step, which can positively contribute to an extended use of this tool in clinical practice, since current manual delineation of the costal cartilage can take up to an hour.

Processo de trabalho e grupos semi-autônomos: a evolução da experiência sueca de Kalmar aos anos 90

Este trabalho visa a apresentar o desenvolvimento recente de novas formas de organização da produção e do trabalho na Suécia, em especial no que se refere ao setor automotivo (ônibus, caminhões e automóveis). Apresentam-se em detalhes as características da mais recente planta do grupo Volvo, denominada Uddevalla, projetada segundo o conceito de dock-assembly. É introduzida também uma discussão sucinta acerca de semelhanças e diferenças entre esse caso e outros como, por exemplo, o da planta da Toyota no Japão. Por fim, procurase reforçar a importância da consideração de soluções novas - e adaptadas - ao caso brasileiro, no que diz respeito a formas de organização do trabalho que contribuam para aumento da produtividade (em um sentido amplo) dos sistemas de produção.

A supervised versus home-based program effects on liver transplanted familial amyloidotic polyneuropathy patients: walking, fatigue and quality of life

Purpose: To evaluate the effects of a six months exercise training program on walking capacity, fatigue and health related quality of life (HRQL). Relevance: Familial amyloidotic polyneuropathy disease (FAP) is an autossomic neurodegenerative disease, related with systemic deposition of amyloidal fibre mainly on peripheral nervous system and mainly produced in the liver. FAP often results in severe functional limitations. Liver transplantation is used as the only therapy so far, that stop the progression of some aspects of this disease. Transplantation requires aggressive medication which impairs muscle metabolism and associated to surgery process and previous possible functional impairments, could lead to serious deconditioning. Reports of fatigue are common feature in transplanted patients. The effect of supervised or home-based exercise training programs in FAP patients after a liver transplant (FAPTX) is currently unknown.

A supervised versus home-based program effects on liver transplanted familial amyloidotic polyneuropathy patients: walking, fatigue and quality of life

Familial amyloidotic polyneuropathy is a systemic deposition of amyloidal fibre mainly on peripheral nervous system (but also in other systems like heart, gastrointestinal tract, kidneys, etc) and mainly produced in the liver. Purpose of this study: to evaluate the effects of a six months exercise training program(supervised or home-based) on walking capacity, fatigue and health related quality of life (HRQL) on Familial Amyloidotic Polyneuropathy patients submitted to a liver transplant.

Prática do aleitamento materno em comunidades rurais do semi-árido baiano

Com o objetivo de conhecer p estabelecimento e duração do aleitamento materno total e exclusivo em comunidades rurais do Semi-Árido Baiano, Brasil, foram estudadas 226 crianças de O a 2 anos de idade, filhas de pequenos produtores rurais que vivem numa das regiões mais secas do nordeste brasileiro, de pobreza absoluta. Os dados referem-se a todas as crianças da família que à data do estudo tinham até 2 anos de idade. Os dados foram coletados por meio de formulários aplicados às mães ou responsáveis pelo menor, no período de 1988 a 1989. A tábua de vida foi o recurso estatístico utilizado para o cálculo da duração mediana do evento. Das 226 crianças que integraram o estudo, 91,6 iniciaram a amamentação ao peito. A duração mediana do aleitamento total foi de 90,28 dias e o aleitamento exclusivo apresentou duração mediana de 0,1 dia. Ainda que o estabelecimento da amamentação ao peito possa ser considerado alto, a duração mediana do aleitamento total foi extrememente curta, e o aleitamento exclusivo foi desprezível.

Hipovitaminose A em crianças de áreas rurais do semi-árido baiano

Objetivou-se avaliar a distribuição e a magnitude da deficiência de vitamina A e o consumo dietético de 161 crianças de 6 a 72 meses de idade, de áreas rurais do Município de Cansanção-Bahia, Brasil. Os níveis de retinol sérico foram medidos pelo método espectrofotométrico (Bessey-Lowry modificado por Araújo e Flores, 1978). A média do retinol sérico distribuiuse homogeneamente entre as diferentes faixas etárias. Níveis inadequados de retinol sérico (deficiente <10,0 µg/dl e baixos <20,0 µg/dl) foram detectados em 44,7% das crianças, caracterizando a deficiência como problema de saúde pública. Os níveis de retinol sérico não mostraram associação estatisticamente significante com sexo e idade das crianças, contudo as menores de 24 meses apresentaram prevalência mais alta de níveis inadequados. A principal fonte de vitamina A, disponível para essas crianças, é representada pelos carotenóides, em especial beta-caroteno. Foi observada maior diversificação no consumo dos alimentos de conteúdos moderado e baixo em vitamina A no grupo de 24 a 72 meses de idade, sem contudo assegurar níveis adequados de retinol sérico para este grupo etário.

Situação nutricional e alimentar de pré-escolares no semi-árido da Bahia (Brasil): I.Avaliação antropométrica

Foram estudados 754 pré-escolares de áreas urbanas de sete municípios do semi-árido da Bahia, Brasil. Os objetivos foram determinar a prevalência de déficit ponderal e estatural, indicativos de desnutrição atual e/ou pregressa e sua associação com a idade, sexo, renda em salário-mínimo (SM), escolaridade materna e adequação do consumo alimentar. Encontrou-se 22,9% de crianças com altura/idade abaixo de -2,0 DP (desnutrição pregressa), 19,1% com peso/idade e 3,6% com peso/altura abaixo de -2,0 DP (desnutrição atual). Em relação ao inquérito dietético somente 6,8% das crianças haviam consumido no dia anterior uma dieta que suprisse os requerimentos energéticos para sua faixa etária. Houve forte associação entre os indicadores A/l e P/l inadequados com renda familiar per capita (p=0,001 e p=0,000, respectivamente); crianças de famílias com renda per capita < 1/4 SM tinham duas vezes mais chance de estar desnutridas se comparadas com as do estrato de renda >1/2 SM. Em relação ao P/A como também P/l, os pré-escolares estudados no semi-árido apresentaram prevalências significativamente superiores às encontradas por pesquisa nacional realizada na mesma época (p=0,047 e p=0,000, respectivamente). Esses achados surpreendem, já que nas últimas décadas tem sido demonstrada no Brasil uma melhoria signifivativa na desnutrição e mortalidade infantil e parecem indicar que as crianças do semi-árido não lograram ainda alcançar os mesmos benefícios que o restante da população infantil brasileira.

Situação nutricional e alimentar de pré-escolares no semi-árido da Bahia (Brasil): II ­ Hipovitaminose A

Foram estudados 754 pré-escolares de áreas urbanas de sete municípios do semi-árido do Estado Bahia, Brasil, com o objetivo de determinar a prevalência da hipovitaminose A e sua associação com a idade, sexo, renda em salário-mínimo, escolaridade materna e adequação dietética em vitamina A. Na amostra estudada não se registrou nenhum caso de sinais e/ou sintomas de xeroftalmia durante o exame clínico-oftalmológico. Em 563 crianças foi possível a coleta de sangue para determinação de retinol sérico; encontrou-se um valor médio de 20,3 µg/dl (DP=10,8µg/dl) e uma prevalência de 15,3% de níveis deficientes (abaixo de 10,0 µg/dl). Em todos os sete municípios estudados a prevalência de retinol sérico deficiente foi superior a 5,0% que é nível crítico proposto pela OMS para considerar a hipovitaminose A como problema de saúde pública. A distribuição de retinol sérico encontrada não teve relação com o sexo das crianças, mas com a idade, diminuindo a prevalência de níveis deficientes e baixos na medida em que a idade aumenta. Não se encontrou associação entre renda familiar per capita ou escolaridade materna e a prevalência de níveis de retinol deficiente. Os resultados de consumo alimentar provenientes do inquérito recordatório de 24h mostraram que apenas 8% das crianças consumiram quantidades adequadas de retinol ou de seus precursores; 66% ingeriam abaixo da metade e quase 35% delas não chegaram a ingerir nem um quarto da quantidade recomendada para sua faixa etária. A carência de vitamina A deve ser considerada como problema de saúde pública severo, tanto pela alta prevalência de níveis deficientes de retinol em todos os municípios como também pela dimensão da inadequação dietética.

Incidence rate and spatio-temporal clustering of type 1 diabetes in Santiago, Chile, from 1997 to 1998

OBJECTIVE: To estimate the incidence rate of type 1 diabetes in the urban area of Santiago, Chile, from March 21, 1997 to March 20, 1998, and to assess the spatio-temporal clustering of cases during that period. METHODS: All sixty-one incident cases were located temporally (day of diagnosis) and spatially (place of residence) in the area of study. Knox's method was used to assess spatio-temporal clustering of incident cases. RESULTS: The overall incidence rate of type 1 diabetes was 4.11 cases per 100,000 children aged less than 15 years per year (95% confidence interval: 3.06--5.14). The incidence rate seems to have increased since the last estimate of the incidence calculated for the years 1986--1992 in the metropolitan region of Santiago. Different combinations of space-time intervals have been evaluated to assess spatio-temporal clustering. The smallest p-value was found for the combination of critical distances of 750 meters and 60 days (uncorrected p-value = 0.048). CONCLUSIONS: Although these are preliminary results regarding space-time clustering in Santiago, exploratory analysis of the data method would suggest a possible aggregation of incident cases in space-time coordinates.

Definition of MV Load Diagrams via Weighted Evidence Accumulation Clustering using Subsampling

A definition of medium voltage (MV) load diagrams was made, based on the data base knowledge discovery process. Clustering techniques were used as support for the agents of the electric power retail markets to obtain specific knowledge of their customers’ consumption habits. Each customer class resulting from the clustering operation is represented by its load diagram. The Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) were applied to an electricity consumption data from a utility client’s database in order to form the customer’s classes and to find a set of representative consumption patterns. The WEACS approach is a clustering ensemble combination approach that uses subsampling and that weights differently the partitions in the co-association matrix. As a complementary step to the WEACS approach, all the final data partitions produced by the different variations of the method are combined and the Ward Link algorithm is used to obtain the final data partition. Experiment results showed that WEACS approach led to better accuracy than many other clustering approaches. In this paper the WEACS approach separates better the customer’s population than Two-step clustering algorithm.

Determination of electricity consumers’ load profiles via weighted evidence accumulation clustering using subsampling

With the electricity market liberalization, the distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity consumers. A fair insight on the consumers’ behavior will permit the definition of specific contract aspects based on the different consumption patterns. In order to form the different consumers’ classes, and find a set of representative consumption patterns we use electricity consumption data from a utility client’s database and two approaches: Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) for combining partitions in a clustering ensemble. While EAC uses a voting mechanism to produce a co-association matrix based on the pairwise associations obtained from N partitions and where each partition has equal weight in the combination process, the WEACS approach uses subsampling and weights differently the partitions. As a complementary step to the WEACS approach, we combine the partitions obtained in the WEACS approach with the ALL clustering ensemble construction method and we use the Ward Link algorithm to obtain the final data partition. The characterization of the obtained consumers’ clusters was performed using the C5.0 classification algorithm. Experiment results showed that the WEACS approach leads to better results than many other clustering approaches.

Membrane selectivity versus sensor response in hydrogenated amorphous silicon CHEMFETs using a semi-empirical model

Toxic amides, such as acrylamide, are potentially harmful to Human health, so there is great interest in the fabrication of compact and economical devices to measure their concentration in food products and effluents. The CHEmically Modified Field Effect Transistor (CHEMFET) based onamorphous silicon technology is a candidate for this type of application due to its low fabrication cost. In this article we have used a semi-empirical modelof the device to predict its performance in a solution of interfering ions. The actual semiconductor unit of the sensor was fabricated by the PECVD technique in the top gate configuration. The CHEMFET simulation was performed based on the experimental current voltage curves of the semiconductor unit and on an empirical model of the polymeric membrane. Results presented here are useful for selection and design of CHEMFET membranes and provide an idea of the limitations of the amorphous CHEMFET device. In addition to the economical advantage, the small size of this prototype means it is appropriate for in situ operation and integration in a sensor array.

Typical load profiles in the smart grid context – a clustering methods comparison

The present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer’s behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.