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

Análise de crescimento do amarílis cultivado a pleno sol

O cultivo de amarílis (Hippeastrum x hybridum Hort.) visa, principalmente, à produção e comercialização de bulbos para exportação. Informações sobre o seu ciclo de crescimento ainda são incongruentes. Assim, foi objetivo realizar medições que possam contribuir com estudos de análise de crescimento do amarílis var. Orange Souvereign, cultivado a pleno sol, nas condições encontradas em Santo Antônio de Posse, Estado de São Paulo. O delineamento experimental empregado foi o inteiramente casualizado. Utilizaram-se plantas cultivadas em uma área de 2 ha, onde os dados foram coletados mensalmente, durante 14 meses, de forma aleatória. Para cada uma das características analisadas foram utilizadas quatro repetições de 10 plantas. A área foliar determinada ao final do experimento foi de, em média, 3.102,65 cm², tendo em vista 10 folhas por planta. O diâmetro do bulbo aumentou, gradualmente, durante todo o período de produção, finalizando aos 420 dias após plantio, com 9,15 cm em média. A massa fresca total ao final do ciclo foi de, em média, 1.050,55 g, dos quais 39% (410 g) foram de massa fresca obtida pelo bulbo da forma como é comercializado (bulbo + raízes). Os índices fisiológicos da análise de crescimento (taxa de crescimento absoluto, taxa de crescimento relativo, taxa de assimilação líquida e razão de área foliar) demonstraram o comportamento da planta no campo, tendo o sistema assimilatório atingido bom desempenho nas condições de cultivo. O crescimento de amarílis foi considerado satisfatório do ponto de vista comercial.

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.

Recensão de: Ignacio Ramonet, Guerres du XXI siécle – Peurs et menaces nouvelles trad. José Martins, Porto, Campo das Letras, 2002, 168 pp.

Revista Lusófona de Ciências Sociais

La Traductologie, Science Auxiliare du Droit

Revista Lusófona de Línguas, Culturas e Tradução

O Projecto XL – Pensar em grande = A propos du projet XL

RESUMO: Este trabalho descreve pormenorizadamente as valências do projecto «XL» da Associação Solidariedade e Desenvolvimento do Laranjeiro direccionado para a população jovem, multiétnica e multicultural, bem como as diversas actividades e parcerias. Em forma de conclusão apresentamos o caso de sucesso de um jovem entrevistado por um dos técnicos do «XL». ABSTRACT:This work describes on details about the «XL» project of the Associação Solidariedade e Desenvolvimento do Laranjeiro, directed for multiethnic and multicultural teenagers. It’s about their activities and partnerships, followed with the interview conducted by a «XL» worker of a young man, a successful case of this project.

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.

Le cinéma et la question du Portugal après le 25 avril 1974

O projecto “Principais tendências no cinema português contemporâneo” nasceu no Departamento de Cinema da ESTC, com o objectivo de desenvolver investigação especializada a partir de um núcleo formado por alunos da Licenciatura em Cinema e do Mestrado em Desenvolvimento de Projecto Cinematográfico, a que se juntaram professores-investigadores membros do CIAC e convidados. O que agora se divulga corresponde a dois anos e meio de trabalho desenvolvido pela equipa de investigação, entre Abril de 2009 e Novembro de 2011. Dada a forma que ele foi adquirindo, preferimos renomeá-lo, para efeitos de divulgação, “Novas & velhas tendências no cinema português contemporâneo”.

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.