Comportamento de genótipos de girassol no município de Mata Roma, MA, no período de 2008 a 2011.

O objetivo deste trabalho foi avaliar o comportamento de genótipos de girassol no município de Mata Roma, com vistas à produção de grãos e óleo.bitstream/item/79281/1/CT231.pd

Assessing the ability of rural areas to fulfill multiple societal demands

Rural areas are changing through a process of multifunctional transition. New societal expectations, including countryside consumption and protection, increasingly determine the way rural space is used. There is a pressing need to grasp the new relative balance between these drivers of the rural space, in each particular area, in order to target public intervention. Tackling differentiation within rural space will definitely contribute to developing the potential and vocation of each area while supporting territorial cohesion. In this context, sound analytical knowledge that reveals and characterizes this differentiation is required and novel analytical approaches are needed for this knowledge to be obtained. Based on the conceptual framework proposed by Holmes (2006, 2012), this paper presents two methodological pathways for defining a typology of European regions that considers the multifunctionality of rural areas today and the relative weight of the dimensions of production, protection and consumption. The classification is produced at Nomenclature Territorial Unit NUTS 2 level, using information derived from European statistical datasets compiling different cartographic sources. One of the methods used to develop a typology was a clustering approach while the other method used was an expert-based analytical procedure. Even when the limitations stemming from the data available for the whole of Europe are considered, the results are encouraging. The results show two different regional distributions in Europe. These distributions, which have some similarities but also certain differences, both reveal the general characteristics of NUTS 2 regions and shed new light on the ways in which societal expectations for production, protection and consumption might be spatially reconciled. The expert-based approach seems to produce a more faithful classification. Both typologies result in most regions being classified as pluri-active, or complex or multifunctional, which may indicate that multiple modes of rural occupancy are widely found in each region and therefore that a more detailed scale of analysis would be more likely to enable evidence-based decisions to be made

Indicadores de consumo aparente de bens industriais: Metodologia e resultados

The aim of this paper is to describe in details the methodology used to construct the apparent consumption indicators of industrial goods in the Brazilian economy - defined as domestic production plus imports minus exports - and report the results. This indicator is important in view of the difficulties to obtain timely measures for industrial goods demand, whereas supply data are comprehensive and diversified. Departing from the principle of supply and demand equilibrium, the apparent consumption is a good proxy to demand behavior. The indices shown in this text are calculated in a monthtly basis since january, 1998, for different aggregated levels of industrial goods: general industry, manufacturing industry, capital goods industry, intermediate goods industry, consumer good industry (durables, semidurables and non-durables) and 22 different sectors of activity, as defined in the National Classification of Economic Activities (CNAE) of the Brazilian Institute of Geography and Statistics (IBGE). This paper also shows the method to obtain a monthly indicator for the gross fixed capital formation of the Brazilian economy, that is based on the apparent consumption of capital goods and that aims to replicate the methodology used by IBGE to obtain the measure of the gross fixed capital formation in the System of National Accounts

Editorial for the special issue on micro/nanofluidic and lab-on-a-chip devices for biomedical applications

Micro/Nanofluidic and lab-on-a-chip devices have been increasingly used in biomedical research [...

From rapid prototyping to building in real scale: methodologies for upscaling additive manufacturing in architecture

The manufacture of architectural components mediated by computer-controlled Additive Manufacturing (AM) technologies has highlighted several positive aspects of their application, namely by enabling customised design solutions and high-performance complex geometries. Taking into account the experience of the Advanced Ceramics R&D Lab, in the production of small- / medium- scale prototypes, this paper explores the main variables and constraints of the production of real-scale architectural components. This information points to a set of procedures that should be avoided and others that should be privileged, allowing to anticipate how AM can contribute for the achievement of high performance components on a large scale.This work has the financial support of the Project Lab2PT – Landscapes, Heritage and Territory laboratory – AUR/04509 and FCT through national founds and when applicable of the FEDER cofinancing, in the aim of the new partnership agreement PT2020 and COMPETE2020 – POCI 01 0145FEDER 007528

Biodegradable hydrogels loaded with magnetically responsive microspheres as 2D and 3D scaffolds

Scaffolds play an essential role in the success of tissue engineering approaches. Their intrinsic properties are known to influence cellular processes such as adhesion, proliferation and differentiation. Hydrogel-based matrices are attractive scaffolds due to their high-water content resembling the native extracellular matrix. In addition, polymer-based magnetoelectric materials have demonstrated suitable bioactivity, allowing to provide magnetically and mechanically activated biophysical electrical stimuli capable of improving cellular processes. The present work reports on a responsive scaffold based on poly (L-lactic acid) (PLLA) microspheres and magnetic microsphere nanocomposites composed of PLLA and magnetostrictive cobalt ferrites (CoFe2O4), combined with a hydrogel matrix, which mimics the tissue’s hydrated environment and acts as a support matrix. For cell proliferation evaluation, two different cell culture conditions (2D and 3D matrices) and two different strategies, static and dynamic culture, were applied in order to evaluate the influence of extracellular matrix-like confinement and the magnetoelectric/magneto-mechanical effect on cellular behavior. MC3T3-E1 proliferation rate is increased under dynamic conditions, indicating the potential use of hydrogel matrices with remotely stimulated magnetostrictive biomaterials for bone tissue engineering.This research was funded by the Portuguese Foundation for Science and Technology (FCT), namely for the research grants: the SFRH/BD/145455/2019 (EOC) and SFRH/BPD/121526/2016 (DMC) and for the contract under the Stimulus of Scientific Employment (DL57/2016 junior researcher contract) (CR). This work was also supported by the following strategic funding of FCT: UID/FIS/04650/2020, UID/BIO/04469/2020, UID/QUI/50006/2020 and project PTDC/BTM-MAT/28237/2017. Finally, the authors acknowledge funding by Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project PID2019-106099RB-C43/AEI/10.13039/501100011033 and from the Basque Government Industry and Education Departments under the ELKARTEK and PIBA (PIBA-2018-06) programs, respectively.info:eu-repo/semantics/publishedVersio

Feature selection for bankruptcy prediction: a multi-objective optimization approach

In this work a Multi-Objective Evolutionary Algorithm (MOEA) was applied for feature selection in the problem of bankruptcy prediction. The aim is to maximize the accuracy of the classifier while keeping the number of features low. A two-objective problem - minimization of the number of features and accuracy maximization – was fully analyzed using two classifiers, Logistic Regression (LR) and Support Vector Machines (SVM). Simultaneously, the parameters required by both classifiers were also optimized. The validity of the methodology proposed was tested using a database containing financial statements of 1200 medium sized private French companies. Based on extensive tests it is shown that MOEA is an efficient feature selection approach. Best results were obtained when both the accuracy and the classifiers parameters are optimized. The method proposed can provide useful information for the decision maker in characterizing the financial health of a company