991 resultados para technological variables


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The circumstances that were the driving forces behind Europe's economic growth beginning in the 19th century are diverse, and not easily prioritized. Until the 1970's, specifically, in Economy and Economic History, attention was focused on different institutional and technological variables, and various regularities were proposed. Nevertheless, new studies also underlined that the evolution of economic activity could not be understood considering only the new production possibilities offered by market economies. As a result, today it is also accepted that those processes can not be explained without considering two additional circumstances: the energy flows that sustained them, and the changes undergone in their transformation In this context, a question arises that takes on special importance. Which was the influence of the biological change in the economic growth?. A part of the flows of energy must be made into food, and this transformation can only happen with the participation.

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The cultivation of sugarcane with intensive use of machinery, especially for harvest, induces soil compaction, affecting the crop development. The control of agricultural traffic is an alternative of management in the sector, with a view to preserve the soil physical quality, resulting in increased sugarcane root growth, productivity and technological quality. The objective of this study was to evaluate the physical quality of an Oxisol with and without control traffic and the resulting effects on sugarcane root development, productivity and technological quality. The following managements were tested: no traffic control (NTC), traffic control consisting of an adjustment of the track width of the tractor and sugarcane trailer (TC1) and traffic control consisting of an adjustment of the track width of the tractor and trailer and use of an autopilot (TC2). Soil samples were collected (layers 0.00-0.10; 0.10-0.20 and 0.20-0.30 m) in the plant rows, inter-row center and seedbed region, 0.30 m away from the plant row. The productivity was measured with a specific weighing scale. The technological variables of sugarcane were measured in each plot. Soil cores were collected to analyze the root system. In TC2, the soil bulk density and compaction degree were lowest and total porosity and macroporosity highest in the plant row. Soil penetration resistance in the plant row, was less than 2 MPa in TC1 and TC2. Soil aggregation and total organic carbon did not differ between the management systems. The root surface and volume were increased in TC1 and TC2, with higher productivity and sugar yield than under NTC. The sugarcane variables did not differ between the managements. The soil physical quality in the plant row was preserved under management TC1 and TC2, with an improved root development and increases of 18.72 and 20.29 % in productivity and sugar yield, respectively.

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O uso agrícola de resíduos orgânicos, de origem agrícola, urbana ou industrial, é uma interessante alternativa de disposição, permitindo a reciclagem de nutrientes (NPK) nos ecossistemas. Este trabalho avaliou o efeito da aplicação de lodo de esgoto como fonte de N e de vinhaça como fonte de K comparado ao uso de fontes minerais desses nutrientes sobre a produtividade e variáveis agroindustriais da cana-de-açúcar, por dois anos consecutivos (cana-planta e cana-soca). O experimento foi conduzido em Latossolo Vermelho-Amarelo distrófico típico, em Pontal - SP, e a variedade de cana-de-açúcar avaliada foi a SP 81-3250. Utilizou-se de esquema fatorial 3x2x2+1, ou seja, três tipos de resíduos (lodo de esgoto + KCl; vinhaça + uréia, e lodo de esgoto + vinhaça); dois modos de aplicação (na linha de plantio ou em área total); duas doses (100 e 200% do N e K necessários à cultura) e um tratamento adicional com adubação mineral, sendo os tratamentos distribuídos na área em blocos ao acaso, com três repetições. Foram avaliadas a produtividade e as variáveis agroindustriais (°brix, pol no caldo, fibra, pureza, pol na cana, AR e ATR). As produtividades de colmo e de açúcar para cana-planta foram mantidas quando N e K foram fornecidos pelo lodo de esgoto e vinhaça, respectivamente. A cana-soca apresentou maior produtividade de colmo e de açúcar quando foram utilizados os resíduos separadamente, complementados com fontes minerais. Quanto ao modo de aplicação, não foram observadas diferenças significativas para as variáveis analisadas.

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Nematodes cause extensive losses to sugarcane in Brazil and also in other producing regions. Meloidogyne incognita, M. javanica and Pratylenchus zeae are the key species for this culture worldwide. In the present study, the aggressiveness of M. javanica and M. incognita to sugarcane variety SP 911049 was evaluated comparatively,. The following parameters were compared: reproduction factor (RF) of these nematodes, effect of nematodes in the natural incidence of pests, and the influence on the development and technological characteristics of sugarcane. Considering the data of RF, biometrics, natural infestation of pests, mortality of plants, and technological variables, it was concluded that M. javanica was more aggressive to sugarcane, although its rate of multiplication was much smaller than the one of M. incognita.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Geologic storage of carbon dioxide (CO2) has been proposed as a viable means for reducing anthropogenic CO2 emissions. Once injection begins, a program for measurement, monitoring, and verification (MMV) of CO2 distribution is required in order to: a) research key features, effects and processes needed for risk assessment; b) manage the injection process; c) delineate and identify leakage risk and surface escape; d) provide early warnings of failure near the reservoir; and f) verify storage for accounting and crediting. The selection of the methodology of monitoring (characterization of site and control and verification in the post-injection phase) is influenced by economic and technological variables. Multiple Criteria Decision Making (MCDM) refers to a methodology developed for making decisions in the presence of multiple criteria. MCDM as a discipline has only a relatively short history of 40 years, and it has been closely related to advancements on computer technology. Evaluation methods and multicriteria decisions include the selection of a set of feasible alternatives, the simultaneous optimization of several objective functions, and a decision-making process and evaluation procedures that must be rational and consistent. The application of a mathematical model of decision-making will help to find the best solution, establishing the mechanisms to facilitate the management of information generated by number of disciplines of knowledge. Those problems in which decision alternatives are finite are called Discrete Multicriteria Decision problems. Such problems are most common in reality and this case scenario will be applied in solving the problem of site selection for storing CO2. Discrete MCDM is used to assess and decide on issues that by nature or design support a finite number of alternative solutions. Recently, Multicriteria Decision Analysis has been applied to hierarchy policy incentives for CCS, to assess the role of CCS, and to select potential areas which could be suitable to store. For those reasons, MCDM have been considered in the monitoring phase of CO2 storage, in order to select suitable technologies which could be techno-economical viable. In this paper, we identify techniques of gas measurements in subsurface which are currently applying in the phase of characterization (pre-injection); MCDM will help decision-makers to hierarchy the most suitable technique which fit the purpose to monitor the specific physic-chemical parameter.

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La investigación, plantea como podemos evaluar la competividad en 135 países a partir únicamente de variables tecnológicas. En la metodología se plantea el Protocolo de Cálculo para el total de las economías seleccionadas dentro de los periodos 2005-2006 y 2007-2008, realizando una evaluación estadística. Y estableciendo una discusión, donde analizamos la explicación de las relaciones así como la interpretación de los resultados. Finalmente, evaluamos las conclusiones para las economías mundiales. Dentro de estas economías, localizamos las variables que tienen que priorizarse para mejorar la competividad de las mismas. Estas variables par ten inicialmente de un grupo de 68, y al final de la implementación del método se reducen notablemente. Estas variables finales, llamadas Indicadores Claves de Actuación, se agrupan en factores (Factores Clave de Actuación) que nos simplifican notablemente lo planteado. Para cada grupo de economías se realizan los conglomerados de acuerdo a sus valores dentro de las variables seleccionadas. Se evalúa país a país un análisis detallado de su posicionamiento para cada uno de los Indicadores Claves de Actuación seleccionados matemáticamente. La principal voluntad de la presente información, es simplificar notablemente la comparación entre la competividad de las naciones y su nivel tecnológico. Palabras clave: indicadores, índices, economías, mundiales, análisis multivariante, regresión, factorización, clusterización, análisis de conglomerados, competividad, tecnología, políticas públicas, aspectos regulatorios, operaciones, estrategias comerciales, internet, comparativa cros nacionales, análisis multinivel. Analysis of the relationship between competitiveness and technological development for 135 worldwide countries. Factors and Key Performance Indicators. Clusters of economies Abstract:The research evaluates the competitiveness of 135 countries, based solely on technological variables. The methodology raises calculation protocol for the total of selected economies in the periods 2005-2006 and 2007- 2008. This protocol makes a statistical evaluation. And setting up a discussion, where we analyzed the explanation of the relationship and the interpretation of results. Finally, we evaluate the conclusions for the world economies. Within each group of economies, we know which variables need originally to be prioritized to improve the competitiveness. These variables are from a group of 68, and after the implementation of the method are reduced dramatically in number. These variables will be called Key Performance Indicators and will be grouped into Factors (Key Performance Factors) this will significantly simplify matters. Within this group of countries have been reduced three factors that collect their Key Performance Indicators . A country to country detailed analysis of their positions according to each of the Key Performance Indicators on a mathematical basis.The main desire of this research is to significantly simplify the comparison between the competitiveness of nations and their technological level. Key words: economies, innovation, competitiveness, public policy, business strategies.

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Durante los últimos 30 años se han creado una gran cantidad de índices e indicadores para evaluar la práctica totalidad de los países bajo distintas premisas. La tesis parte de un análisis detallado de más de un centenar de estos índices diferenciados entre los enfocados al desarrollo y los enfocados a la competitividad económica (véase Módulo I anexo) y tras esto, dentro del estudio teórico nos hemos centrado en 35 indicadores relacionados con la tecnología (capítulo 3, apartado 3.3.). La justificación, el objetivo de la investigación y la estructura de la tesis se presenta en el capítulo 2. Respecto a la metodología, tal y como se plantea en la hipótesis (apartado 2.2.), se presentan los criterios de selección de seis grupos de países (EP, EPC, EC, ECI, EI y EM)1, que se van a evaluar. Posteriormente se plantea el Protocolo de Cálculo para el total de grupos seleccionados dentro de los periodos 2005-2006 y 2007-2008 y se realiza una profunda evaluación estadística como se plantea dentro de la coherencia estadística explicada en el apartado 3.4.4.5. (también se dispone de los cálculos dentro de los Módulos II, III, IV y V anexos). Tras la metodología establecemos la construcción de un índice sintético NRI(A) y, tras esto, estudiamos las relaciones así como la interpretación de los resultados (capítulo 4, apartado 4.1.). Una vez obtenidos los resultados realizamos la validación de los mismos para el periodo 2007-2015 (capítulo 4 - apartado 4.2. – y los Módulos VI y VII anexos). En el capítulo 5, evaluamos el nivel de preparación tecnológico y su relación con la competitividad para los seis grupos de países (véase desde los apartados 5.1.y 5.2.). Dentro de cada uno de los seis grupos de países, sabemos las variables que cualitativamente tienen que priorizarse para mejorar el nivel de preparación tecnológica de los mismos. Estas variables inicialmente son sesenta y ocho – año 2007-08 –, y al final de la implementación del método se reducen notablemente. Estas variables finales, llamadas Indicadores Clave de Actuación (ICA), se agrupan – vía análisis factorial – en Factores Clave de Actuación que nos simplifican lo planteado. Para cada grupo de países se realizan los conglomerados de acuerdo a sus valores dentro de las ICAs en busca de singularidades y se ha llevado a cabo un análisis minucioso en función de los Indicadores Clave de Actuación. La Tesis, plantea científicamente como podemos evaluar el nivel de preparación tecnológica y su relación con la competitividad, desde un índice sintético creado NRI(A), que contempla únicamente Indicadores Clave de Actuación (variables seleccionadas) a partir de las variables originales del Network Readiness Index (NRI(R)) . Por último se plantea dentro de las conclusiones, capítulo 6, diferentes líneas de investigación, desarrollando dos de ellas que se pueden encontrar en el Modulo VIII anexo. Por un lado presentamos una línea de investigación centrada en 29 economías africanas (EA) de las que disponemos información fidedigna y por otro lado una segunda línea en la que nos centramos en la evaluación de España respecto a sus naciones coetáneas. La principal voluntad de la presente tesis doctoral, es simplificar la evaluación del nivel de preparación tecnológica y la relación de esta con la competitividad a partir de la creación de un índice sintético propio NRI(A). ABSTRACT - During the last 30 years, many institutions have been evaluating and endless range of variables in practically all of the world´s economies. This Thesis is the product of a detail analysis of more than one hundred indicators / index, which we have divided into two parts: those focused on development and those focused on economic competitiveness (see module I annex). Secondly, in our theoretical research we have concentrated on those indicators, which are related to technology (chapters 3, section 3.3). The selection criteria of the six economic groups to be evaluated are included in our methodology, as mentioned in the hypothesis (see section 2.2.). Subsequently the calculation procedure is also presented for all of the groups selected between the periods 2005-2006 and 2007-2008. Next, we perform a statistical study, which is presented accordingly in the segment dealing with statistics, section 3.4.4.5. The calculations are provided in modules I, II, III, IV and V annex. After the methods segment of the Thesis, we develop our argument, in which we presented the explanation of the relations as well as the interpretation of the results. Also at the chapter 4 you can find the result validation from 2007 till 2015. Finally in chapters 6, we evaluate the conclusions for the six economic groups (see section 6.2.). The Thesis scientifically explains the way in which we evaluate economic competitiveness in 135 countries from a standpoint of strictly technological variables. Six groups of countries are evaluated, being divided by criteria, which homogenize the economies under review. We recognize that the variables of each economic group should be prioritized in order to better their competitiveness. Initially the group consisted of 68 variables, a number which was considerably reduced after the implementation of our methodology. Likewise, these final variables, dubbed “key performance indicators”, were grouped into factors (key performance factors), which greatly simplify the prioritization process. At the same time, conglomerates have been created for each economic group according to their value concerning the selected variables. A detailed country – by – country analysis of their positioning in each of the six groups was conducted for each of the mathematically selected key performance indicators. Finally, at the Conclusion we introduce new research lines and between them we focus on two research lines in which ones we are working with (see chapter 6). We basically try to apply the multivariable analysis method, the factorial analysis and the conglomerates to designed and implemented our method first in a geographically group of countries (Africa) and secondly to evaluate and develop the public policies for Spain for the development of its competitively, comparing Spain to his coetaneous countries in Europe (see Module VIII). The main objective of this Doctoral Thesis is to noticeably simplify the comparison of the Network Readiness Index and its relation with the economic competitiveness of the countries using a new synthetic index design by us.

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MDF panels from eucalyptus wood fibers were manufactured in laboratory and industrial production and had their apparent density profile determined by X-ray densitometry. The MDF panels apparent density parameters (maximum density of the superior and inferior faces; medium and minimum density) were determined and compared. The results indicated that the density values of the MDF panels made in the laboratory and in industrial line did not show significant statistical differences, indicating the similarities in the pressing phase of the fibers of both kinds. However, for MDF panels of laboratory and production line, the values of maximum, mean and minimum densities showed statistically significant correlations. The determination of the density profile for MDF panels by X-ray densitometry is important for the evaluation of pressing phase and other variables of the industrial process of production, as well for the determination of the technological properties.

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This article presents an evaluation of the effects of the spouted bed design and operating conditions on system fluiddynamics and process performance during enteric coating of hard gelatine capsules. The design parameters studied were the column diameter (150 mm and 200 mm), the included angle of the conical base, gamma (60 degrees or 40 degrees) and the presence or absence of a Venturi inserted before the inlet air orifice. The process variables studied were the ratio between the feed flow rate of the coating suspension to the spouting gas flow rate (W(s)/W(g)), the mass of capsules loaded to the equipment (M(0)), and the ratio between the Spouting gas flow rate to the gas flow rate at minimum spouting condition (Q/Q(ms)). The response variables were the rate of increase of the capsules mass (K(1)), and the adhesion efficiency (eta). The linear regression equation for the dependent variable K, in terms of the independent variables adequately described the process with an r(2) value of 0.872. Analysis of variance (ANOVA) revealed that increasing of W(s)/W(g), Q/Q(ms) and gamma significantly increased the adhesion efficiency. Adhesion efficiencies higher than 90% were achieved by selecting precise coating conditions, indicating the feasibility of the process for coating of hard gelatine capsules. (C) 2008 Elsevier B.V. All rights reserved.