The mouse secretome: functional classification of the proteins secreted into the extracellular environment

We have developed a computational strategy to identify the set of soluble proteins secreted into the extracellular environment of a cell. Within the protein sequences predominantly derived from the RIKEN representative transcript and protein set, we identified 2033 unique soluble proteins that are potentially secreted from the cell. These proteins contain a signal peptide required for entry into the secretory pathway and lack any transmembrane domains or intracellular localization signals. This class of proteins, which we have termed the mouse secretome, included >500 novel proteins and 92 proteins

Using different satellite imagery and classification techniques to assess the contribution of trees outside forests in the municipality of Maringá, Brazil

Forest cover of the Maringá municipality, located in northern Parana State, was mapped in this study. Mapping was carried out by using high-resolution HRC sensor imagery and medium resolution CCD sensor imagery from the CBERS satellite. Images were georeferenced and forest vegetation patches (TOFs - trees outside forests) were classified using two methods of digital classification: reflectance-based or the digital number of each pixel, and object-oriented. The areas of each polygon were calculated, which allowed each polygon to be segregated into size classes. Thematic maps were built from the resulting polygon size classes and summary statistics generated from each size class for each area. It was found that most forest fragments in Maringá were smaller than 500 m². There was also a difference of 58.44% in the amount of vegetation between the high-resolution imagery and medium resolution imagery due to the distinct spatial resolution of the sensors. It was concluded that high-resolution geotechnology is essential to provide reliable information on urban greens and forest cover under highly human-perturbed landscapes.

Comparison of methods for classification of the coefficient of variation in papaya

ABSTRACT The objective of this work was to study the distribution of values of the coefficient of variation (CV) in the experiments of papaya crop (Carica papaya L.) by proposing ranges to guide researchers in their evaluation for different characters in the field. The data used in this study were obtained by bibliographical review in Brazilian journals, dissertations and thesis. This study considered the following characters: diameter of the stalk, insertion height of the first fruit, plant height, number of fruits per plant, fruit biomass, fruit length, equatorial diameter of the fruit, pulp thickness, fruit firmness, soluble solids and internal cavity diameter, from which, value ranges were obtained for the CV values for each character, based on the methodology proposed by Garcia, Costa and by the standard classification of Pimentel-Gomes. The results obtained in this study indicated that ranges of CV values were different among various characters, presenting a large variation, which justifies the necessity of using specific evaluation range for each character. In addition, the use of classification ranges obtained from methodology of Costa is recommended.

Multi-attribute classification of housing conservation status in urban regeneration actions

Urban regeneration is more and more a “universal issue” and a crucial factor in the new trends of urban planning. It is no longer only an area of study and research; it became part of new urban and housing policies. Urban regeneration involves complex decisions as a consequence of the multiple dimensions of the problems that include special technical requirements, safety concerns, socio-economic, environmental, aesthetic, and political impacts, among others. This multi-dimensional nature of urban regeneration projects and their large capital investments justify the development and use of state-of-the-art decision support methodologies to assist decision makers. This research focuses on the development of a multi-attribute approach for the evaluation of building conservation status in urban regeneration projects, thus supporting decision makers in their analysis of the problem and in the definition of strategies and priorities of intervention. The methods presented can be embedded into a Geographical Information System for visualization of results. A real-world case study was used to test the methodology, whose results are also presented.

Statistical classification of road pavements using near field vehicle rolling noise measurements

Low noise surfaces have been increasingly considered as a viable and cost-effective alternative to acoustical barriers. However, road planners and administrators frequently lack information on the correlation between the type of road surface and the resulting noise emission profile. To address this problem, a method to identify and classify different types of road pavements was developed, whereby near field road noise is analyzed using statistical learning methods. The vehicle rolling sound signal near the tires and close to the road surface was acquired by two microphones in a special arrangement which implements the Close-Proximity method. A set of features, characterizing the properties of the road pavement, was extracted from the corresponding sound profiles. A feature selection method was used to automatically select those that are most relevant in predicting the type of pavement, while reducing the computational cost. A set of different types of road pavement segments were tested and the performance of the classifier was evaluated. Results of pavement classification performed during a road journey are presented on a map, together with geographical data. This procedure leads to a considerable improvement in the quality of road pavement noise data, thereby increasing the accuracy of road traffic noise prediction models.

Comparative evaluation of underlying causes of death processed by the Automated Classification of Medical Entities and the Underlying Cause of Death Selection Systems

INTRODUCTION: The correct identification of the underlying cause of death and its precise assignment to a code from the International Classification of Diseases are important issues to achieve accurate and universally comparable mortality statistics These factors, among other ones, led to the development of computer software programs in order to automatically identify the underlying cause of death. OBJECTIVE: This work was conceived to compare the underlying causes of death processed respectively by the Automated Classification of Medical Entities (ACME) and the "Sistema de Seleção de Causa Básica de Morte" (SCB) programs. MATERIAL AND METHOD: The comparative evaluation of the underlying causes of death processed respectively by ACME and SCB systems was performed using the input data file for the ACME system that included deaths which occurred in the State of S. Paulo from June to December 1993, totalling 129,104 records of the corresponding death certificates. The differences between underlying causes selected by ACME and SCB systems verified in the month of June, when considered as SCB errors, were used to correct and improve SCB processing logic and its decision tables. RESULTS: The processing of the underlying causes of death by the ACME and SCB systems resulted in 3,278 differences, that were analysed and ascribed to lack of answer to dialogue boxes during processing, to deaths due to human immunodeficiency virus [HIV] disease for which there was no specific provision in any of the systems, to coding and/or keying errors and to actual problems. The detailed analysis of these latter disclosed that the majority of the underlying causes of death processed by the SCB system were correct and that different interpretations were given to the mortality coding rules by each system, that some particular problems could not be explained with the available documentation and that a smaller proportion of problems were identified as SCB errors. CONCLUSION: These results, disclosing a very low and insignificant number of actual problems, guarantees the use of the version of the SCB system for the Ninth Revision of the International Classification of Diseases and assures the continuity of the work which is being undertaken for the Tenth Revision version.

Reorganização do controlo postural em indivíduos com AVE. Intervenção em fisioterapia

Objectivos: Identificar as alterações no controlo postural do tronco e repercussões na independência funcional de indivíduos com acidente vascular encefálico (AVE), bem como averiguar se ocorreram mudanças a esse nível após a intervenção, baseada na abordagem segundo o Conceito de Bobath. Metodologia: Foram seleccionados para este estudo dois indivíduos com alterações no controlo postural, resultantes de um AVE, em fase aguda. A avaliação foi realizada em dois momentos (M0 e M1), antes e após quatro semanas da realização da intervenção através da análise do movimento, da aplicação da Escala de Avaliação Postural para Pacientes com Sequelas de AVE (PASS), da Escala de Equilíbrio de Berg (EEB), da Escala Modificada de Barthel (BEM), do Teste Timed Up & Go (TUG) e da Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF). Resultados: Os scores obtidos em M1 nos vários instrumentos aplicados, bem como a análise de movimento traduzem a evolução favorável no controlo postural do tronco e na independência nas actividades da vida diária (AVD), observada em ambos os casos clínicos. Verificou-se uma evolução mais evidente na EMB e EEB onde o indivíduo A evoluiu na EMB de 51 em M0 para 94 pontos em M1e o indivíduo B de 51 para 89 pontos. Na EEB o indivíduo A progrediu de 22 para 41 pontos e o indivíduo B de 10 para 36 pontos. Conclusão: Os participantes em estudo evidenciaram modificações no controlo postural com repercussões positivas na independência funcional, após a intervenção com base numa abordagem segundo o conceito de Bobath.

A aplicação da CIF nos programas educativos individualizados das crianças e jardim de infância

A Classificação Internacional da Funcionalidade, Crianças e Jovens (CIF-CJ), usando uma linguagem comum e universal, permite a comunicação entre os diferentes profissionais e investigadores. Sustenta-se numa abordagem biopsicossocial que pressupõe um processo interactivo da participação com os contextos de vida da criança, classificando a criança quanto à sua funcionalidade, definindo perfis de funcionalidade. A reestruturação do Programa Educativo Individual (PEI) através do decreto-lei 3/2008, passa a incluir uma terminologia da CIF-CJ, para a determinação do Perfil de Funcionalidade e Plano de Intervenção. Devido à sua pertinência e actualidade foi objectivo deste estudo fazer a análise da aplicação da CIF nos Programas Educativos Individualizados das crianças da Creche e Jardim de Infância do Cabedelo, verificando se os conteúdos dos PEI das crianças tem ligação com as componentes da CIF-CJ, se são elaborados de modo a englobarem predominantemente os constructos ligados à Actividade e Participação e ao Ambiente segundo o modelo biopsicossocial, e se os constructos identificados no Perfil de Funcionalidade surgem como alvo no Plano de Intervenção. Seleccionámos uma amostra de 15 crianças com Necessidades Educativas Especiais (NEE) com idades entre os dois e os seis anos de idade. A metodologia foi mista iniciando com um estudo qualitativo seguido de uma metodologia quantitativa. Assim procedeu-se a uma análise de conteúdo dos PEI’s, utilizando as linking rules para os relacionar com a CIF-CJ, e posteriormente efectuou-se uma análise de frequências com recurso à estatística descritiva. Os resultados indicam existir uma ligação dos conteúdos dos PEI’s com os componentes da CIF-CJ. O Perfil de Funcionalidade e Plano de Intervenção centram-se na componente Actividades e Participação sendo os Factores do Ambiente menos citados em ambos os processos. Em relação à existência de correspondência dos constructos do Perfil de Funcionalidade com o Plano de Intervenção não há uma correspondência directa em grande parte dos códigos, havendo no entanto uma correspondência na mesma área ou em áreas diferentes mas relacionáveis entre si.

Nível de actividade do tronco vs repercussões funcionais no movimento de alcançar em indivíduos pós AVE

Objectivo Pretende-se verificar a influência de um programa de intervenção em fisioterapia, dirigido para o aumento do nível de actividade do tronco, bem como a sua relação em termos funcionais com o movimento de alcançar, em indivíduos pós Acidente Vascular Encefálico. Metodologia Amostra constituída por 2 elementos pós AVE. Após avaliação inicial identificou-se como principal problema a diminuição do nível de actividade do tronco. Foi implementado um programa de intervenção baseado num processo e raciocínio clínico durante 2 meses, tendo sido aplicado antes e depois, os instrumentos Functional Reach, Escala de Ashworth e Classificação Internacional de Funcionalidade, Incapacidade e Saúde. Resultados Melhoria na avaliação dos componentes de movimento durante os gestos funcionais, assim como se verificou um aumento da estabilidade anterior e uma diminuição do tónus muscular. Após a intervenção observa-se o envolvimento do membro superior em actividades funcionais. Conclusão Um programa de intervenção direccionado para o aumento do nível de actividade do tronco pode-se obter um movimento de alcance mais funcional durante as AVD´s e uma diminuição do tónus muscular do MS.

Towards an efficient and robust foot classification from pedobarographic images

O documento em anexo encontra-se na versão post-print (versão corrigida pelo editor).

Integrated vehicle classification system

This paper presents an integrated system for vehicle classification. This system aims to classify vehicles using different approaches: 1) based on the height of the first axle and_the number of axles; 2) based on volumetric measurements and; 3) based on features extracted from the captured image of the vehicle. The system uses a laser sensor for measurements and a set of image analysis algorithms to compute some visual features. By combining different classification methods, it is shown that the system improves its accuracy and robustness, enabling its usage in more difficult environments satisfying the proposed requirements established by the Portuguese motorway contractor BRISA.

Short-term Feature Space and Music Genre Classification

In music genre classification, most approaches rely on statistical characteristics of low-level features computed on short audio frames. In these methods, it is implicitly considered that frames carry equally relevant information loads and that either individual frames, or distributions thereof, somehow capture the specificities of each genre. In this paper we study the representation space defined by short-term audio features with respect to class boundaries, and compare different processing techniques to partition this space. These partitions are evaluated in terms of accuracy on two genre classification tasks, with several types of classifiers. Experiments show that a randomized and unsupervised partition of the space, used in conjunction with a Markov Model classifier lead to accuracies comparable to the state of the art. We also show that unsupervised partitions of the space tend to create less hubs.

Data mining techniques to support the classification of MV electricity customers

This paper describes a methodology that was developed for the classification of Medium Voltage (MV) electricity customers. Starting from a sample of data bases, resulting from a monitoring campaign, Data Mining (DM) techniques are used in order to discover a set of a MV consumer typical load profile and, therefore, to extract knowledge regarding to the electric energy consumption patterns. In first stage, it was applied several hierarchical clustering algorithms and compared the clustering performance among them using adequacy measures. In second stage, a classification model was developed in order to allow classifying new consumers in one of the obtained clusters that had resulted from the previously process. Finally, the interpretation of the discovered knowledge are presented and discussed.

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.

Crianças com défices no controlo motor: contributo para a elaboração do core set da Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF)

A CIF é um sistema de classificação adotado pela OMS, que serve de referência universal para descrever, avaliar e medir saúde e incapacidade, a nível individual e ao nível da população. Contudo, apesar do interesse internacional gerado em torno da CIF, esta é considerada uma classificação complexa e extensa, fato que despoletou a criação de core sets – listas de itens da CIF especificamente selecionados pela sua relevância na descrição e qualificação de uma determinada condição de saúde – como resposta a esta problemática. Até à data, foram desenvolvidos core sets para várias patologias comuns. Contudo, apesar do controlo motor ser uma área de investigação muito reconhecida nos últimos 20 anos, ainda não possui um core set próprio. Assim, o objetivo deste estudo é contribuir para o desenvolvimento de um core set, com base na CIF-CJ, dirigido para uma descrição abrangente das competências inerentes a crianças, dos 6 aos 18 anos de idade, com défices no controlo motor. Deste modo, recorreu-se a uma revisão da literatura sobre a temática em estudo, de modo a reunir informação para a construção de uma proposta a core set, posteriormente sujeita ao escrutínio de peritos, através do recurso ao método de Delphi. Após várias rondas, foi alcançado um consenso acerca da lista final de códigos CIF que constituem o core set final.