177 research outputs found

    Analysis of Increased Participation of Agriculture in the Brazilian GDP From 1960 to 2004

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    According to international experience, the importance of agriculture in the gross domestic product (GDP) has a declining trend during the time. It has happening in all nations, including in Brazil from 1960 to 1993. However, starting in 1994 Brazil has experiencing an increasing in this variable, what has not being followed by most of the South American countries. This paper analyzes the factors that explain the increase of agriculture importance in the Brazilian gross domestic product during the last 11 years, comparing Brazilian experience with other South American and the most developed countries in the world. The methodology used is both organization of published dataset in graphs and tables as well as econometric analysis of these data. An accounting model is developed for explaining the main factors affecting the importance of agriculture in the GDP and an econometric model is adapted for estimating the accounting model. Using dataset from 1986 to 2004, our econometric findings suggest there is a structural change in the curve of agriculture share in the GDP, and the increase of agricultural production and productivity as well as the increase of (prices received/prices paid) ratio are the most important variables determining the increase of agriculture importance in the Brazilian GDP since 1994.

    L. G. Musso, Tra archein e prattein. Agire libero e fondazione politica nel pensiero di Hannah Arendt

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    Azione, libert\ue0 e fondazione, concetti fortemente intrecciati all\u2019interno del pensiero di Hannah Arendt, costituiscono il nucleo teorico preso in esame nel testo recensito

    Hannah Arendt, Humanitas mundi. Scritti su Karl Jaspers

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    Recensione del testo che raccoglie tre interessanti scritti arendtiani su Jaspers nella loro prima traduzione italian

    Robotic Training for the Integration of Material Performances in Timber Manufacturing

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    The research focuses on testing a series of material-sensitive robotic training methods that flexibly extend the range of subtractive manufacturing processes available to designers based on the integration of manufacturing knowledge at an early design stage. In current design practices, the lack of feedback information between the different steps of linear design workflows forces designers to engage with only a limited range of standard materials and manufacturing techniques, leading to wasteful and inefficient solutions. With a specific focus on timber subtractive manufacturing, the work presented in this thesis addresses the main issue hindering the utilisation of non-standard tools and heterogeneous materials in design processes which is the significant deviation between what is prescribed in the digital design environment and the respective fabrication outcome. To begin, it has been demonstrated the extent to which the heterogeneous properties of timber affect the outcome of the robotic carving process beyond the acceptable tolerance thresholds for design purposes. Resting on this premise, the devised strategy to address such a material variance involved capturing, transferring, augmenting and integrating manufacturing knowledge through the collection of real- world fabrication data, both by human experts and robotic sessions, and training of machine learning models (i.e. Artificial Neural Networks) to achieve an accurate simulation of the robotic manufacturing task informed by specific sets of tools affordances and material behaviours. The results of the training process have demonstrated that it is possible to accurately simulate the carving process to a degree sufficient for design applications, anticipating the influence of material and tool properties on the carved geometry. The collaborations with the industry partners of the project, ROK Architects (Zürich) and BIG (Copenhagen), provided the opportunity to assess the different practical uses and related implications of the tools in a real-world scenario following an open-ended and explorative approach based on several iterations of the full design-to-production cycle. The findings have shown that the devised strategy supports decision-making procedures at an early stage of the design process and enables the exploration of novel, previously unavailable, solutions informed by material and tool affordances

    H. Arendt, Socrate

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    recensione dell'ultima parte di una serie di lezioni che Hannah Arendt tenne alla Notre Dame University nel 1954 dal titolo Philosophy and Politics. The Problem of Action and Thought after the French Revolution; in esso la pensatrice sviluppa un\u2019importante riflessione sull\u2019origine del rapporto fra filosofia e politica a partire dall\u2019esperienza greca della polis e dalla vicenda che lega Socrate e Platone

    Tempi di Coronavirus

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    Analysis of Increased Participation of Agriculture in the Brazilian GDP From 1960 to 2004

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    According to international experience, the importance of agriculture in the gross domestic product (GDP) has a declining trend during the time. It has happening in all nations, including in Brazil from 1960 to 1993. However, starting in 1994 Brazil has experiencing an increasing in this variable, what has not being followed by most of the South American countries. This paper analyzes the factors that explain the increase of agriculture importance in the Brazilian gross domestic product during the last 11 years, comparing Brazilian experience with other South American and the most developed countries in the world. The methodology used is both organization of published dataset in graphs and tables as well as econometric analysis of these data. An accounting model is developed for explaining the main factors affecting the importance of agriculture in the GDP and an econometric model is adapted for estimating the accounting model. Using dataset from 1986 to 2004, our econometric findings suggest there is a structural change in the curve of agriculture share in the GDP, and the increase of agricultural production and productivity as well as the increase of (prices received/prices paid) ratio are the most important variables determining the increase of agriculture importance in the Brazilian GDP since 1994

    Análise da participação da agropecuária no PIB do Brasil de 1986 a 2004

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    De acordo com a experiência internacional, a importância da agropecuária no produto interno bruto (PIB) de um país apresenta tendência declinante ao longo do tempo. Isto tem ocorrido na maioria das nações, inclusive no Brasil no período de 1960 a 1993. Porém, a partir de meados dos anos 90 até 2004, o Brasil apresentou crescimento nessa variável, o qual não foi seguido pela maioria dos países sul-americanos. Este artigo analisa os fatores que explicam a participação da agropecuária no PIB brasileiro nos anos de 1986 a 2004 e a razão de seu crescimento a partir de meados da década de 90 até 2004. A metodologia utilizada é a organização dos dados publicados em gráficos e tabelas e a análise econométrica desses dados. Um modelo contábil foi desenvolvido para explicar os principais fatores que afetam a participação da agropecuária no PIB e um modelo econométrico foi adaptado para estimar este modelo contábil. Usando dados de 1986 a 2004, nossos resultados econométricos confirmam a mudança estrutural na curva de participação da agropecuária no PIB, e as principais variáveis explicando essa participação, no período de 1993 a 2004, são a produtividade da indústria, a razão preços recebidos/ preços pagos pela agropecuária, a produtividade da agropecuária e a participação defasada da agropecuária no PIB.According to global experience, agriculture's contribution to a country's gross domestic product (GDP) has diminished over the years. This has occurred in almost nations, including in Brazil from 1960 to 1993. However, from middle 1990's to the year of 2004, Brazil experienced an increase in this variable, what was not followed by most of the South American countries. This paper analyzes the factors that explain agriculture's contribution to the Brazilian gross domestic product during 1986-2004 period and the reasons for the rise of this contribution since mid-90s to 2004. The methodology used is both organization of published dataset in graphs and tables as well as econometric analysis of these data. An accounting model is used to explain the main factors affecting agriculture's contribution to GDP growth and an econometric model is adapted for estimating the accounting model. Using dataset from 1986 to 2004, our econometric findings confirm there is a structural change in the curve of agriculture participation in the GDP, and the main variables determining this, from 1993 to 2004, are (received/paid prices) ratio, agricultural and industrial productivities as well as lagged participation of agriculture in the GDP

    Tools for Inclusion: Self-Determination: A Fundamental Ingredient of Employment Support

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    Persons with disabilities should direct their own job searches, from determining their interests and goals to researching employment opportunities to starting a new job. Doing so increases their sense of empowerment and can contribute to their employment success. Employment professionals have a facilitating role to play in the process. Job seeker self-determination practices should drive employment services\u27 coordination, funding, and implementation
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