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Download E-Book African Journal of Agricultural Research Volume 10 Number 6 5 February 2015 ISSN 1991-637X Khd:Z dŚĞĨƌŝĐĂŶ:ŽƵƌŶĂůŽĨŐƌŝĐƵůƚƵƌĂů ZĞƐĞĂƌĐŚ;:ZͿŝƐ ƉƵďůŝƐŚĞĚ ǁĞĞŬůLJ ;ŽŶĞǀŽůƵŵĞ ƉĞƌ LJĞĂƌͿ ďLJ ĐĂĚĞŵŝĐ :ŽƵƌŶĂůƐ͘ ĨƌŝĐĂŶ :ŽƵƌŶĂů ŽĨ ŐƌŝĐƵůƚƵƌĂůZĞƐĞĂƌĐŚ ;:ZͿ ŝƐĂŶŽƉĞŶĂĐĐĞƐƐũŽƵƌŶĂů ƚŚĂƚƉƵďůŝƐŚĞƐŚŝŐŚͲƋƵĂůŝƚLJ ƐŽůŝĐŝƚĞĚ ĂŶĚ ƵŶƐŽůŝĐŝƚĞĚĂƌƚŝĐůĞƐ͕ŝŶŶŐůŝƐŚ͕ŝŶĂůů ĂƌĞĂƐŽĨĂŐƌŝĐƵůƚƵƌĞŝŶĐůƵĚŝŶŐ ĂƌŝĚ ƐŽŝů ƌĞƐĞĂƌĐŚĂŶĚƌĞŚĂďŝůŝƚĂƚŝŽŶ͕ ĂŐƌŝĐƵůƚƵƌĂů ŐĞŶŽŵŝĐƐ͕ ƐƚŽƌĞĚƉƌŽĚƵĐƚƐƌĞƐĞĂƌĐŚ͕ ƚƌĞĞ ĨƌƵŝƚ ƉƌŽĚƵĐƚŝŽŶ͕ƉĞƐƚŝĐŝĚĞ ƐĐŝĞŶĐĞ͕ ƉŽƐƚ ŚĂƌǀĞƐƚ ďŝŽůŽŐLJ ĂŶĚ ƚĞĐŚŶŽůŽŐLJ͕ ƐĞĞĚ ƐĐŝĞŶĐĞ ƌĞƐĞĂƌĐŚ͕ ŝƌƌŝŐĂƚŝŽŶ͕ ĂŐƌŝĐƵůƚƵƌĂů ĞŶŐŝŶĞĞƌŝŶŐ͕ ǁĂƚĞƌƌĞƐŽƵƌĐĞƐ ŵĂŶĂŐĞŵĞŶƚ͕ ŵĂƌŝŶĞ ƐĐŝĞŶĐĞƐ͕ ĂŐƌŽŶŽŵLJ͕ ĂŶŝŵĂů ƐĐŝĞŶĐĞ͕ ƉŚLJƐŝŽůŽŐLJ ĂŶĚŵŽƌƉŚŽůŽŐLJ͕ ĂƋƵĂĐƵůƚƵƌĞ͕ĐƌŽƉƐĐŝĞŶĐĞ͕ ĚĂŝƌLJ ƐĐŝĞŶĐĞ͕ ĞŶƚŽŵŽůŽŐLJ͕ ĨŝƐŚ ĂŶĚĨŝƐŚĞƌŝĞƐ͕ĨŽƌĞƐƚƌLJ͕ĨƌĞƐŚǁĂƚĞƌƐĐŝĞŶĐĞ͕ŚŽƌƚŝĐƵůƚƵƌĞ͕ƉŽƵůƚƌLJƐĐŝĞŶĐĞ͕ƐŽŝůƐĐŝĞŶĐĞ͕ƐLJƐƚĞŵĂƚŝĐďŝŽůŽŐLJ͕ǀĞƚĞƌŝŶĂƌLJ͕ ǀŝƌŽůŽŐLJ͕ǀŝƚŝĐƵůƚƵƌĞ͕ǁĞĞĚďŝŽůŽŐLJ͕ĂŐƌŝĐƵůƚƵƌĂůĞĐŽŶŽŵŝĐƐĂŶĚĂŐƌŝďƵƐŝŶĞƐƐ͘ůů ĂƌƚŝĐůĞƐƉƵďůŝƐŚĞĚŝŶ :Z ĂƌĞƉĞĞƌͲ ƌĞǀŝĞǁĞĚ͘ ŽŶƚĂĐƚhƐ ĚŝƚŽƌŝĂůKĨĨŝĐĞ͗ĂũĂƌΛĂĐĂĚĞŵŝĐũŽƵƌŶĂůƐ͘ŽƌŐ ,ĞůƉĞƐŬ͗ŚĞůƉĚĞƐŬΛĂĐĂĚĞŵŝĐũŽƵƌŶĂůƐ͘ŽƌŐ tĞďƐŝƚĞ͗ŚƚƚƉ͗ͬͬǁǁǁ͘ĂĐĂĚĞŵŝĐũŽƵƌŶĂůƐ͘ŽƌŐͬũŽƵƌŶĂůͬ:Z ^ƵďŵŝƚŵĂŶƵƐĐƌŝƉƚŽŶůŝŶĞŚƚƚƉ͗ͬͬŵƐ͘ĂĐĂĚĞŵŝĐũŽƵƌŶĂůƐ͘ŵĞͬ ĚŝƚŽƌƐ WƌŽĨ͘E͘͘ŵƵƐĂ ƌ͘ĂŵƉŝĚŝƐ sĂƐŝůĞŝŽƐ ĚŝƚŽƌ͕ĨƌŝĐĂŶ:ŽƵƌŶĂůŽĨŐƌŝĐƵůƚƵƌĂůZĞƐĞĂƌĐŚ EĂƚŝŽŶĂůŐƌŝĐƵůƚƵƌĂůZĞƐĞĂƌĐŚ&ŽƵŶĚĂƚŝŽŶ;E'Z&Ϳ͕ ĐĂĚĞŵŝĐ:ŽƵƌŶĂůƐ͘ ŶŝŵĂůZĞƐĞĂƌĐŚ/ŶƐƚŝƚƵƚĞϱϴϭϬϬ'ŝĂŶŶŝƚƐĂ͕ 'ƌĞĞĐĞ͘ ƌ͘WĂŶĂŐŝŽƚĂ &ůŽƌŽƵͲWĂŶĞƌŝ >ĂďŽƌĂƚŽƌLJŽĨEƵƚƌŝƚŝŽŶ͕ ƌ͘ŚĂŶŐzƵĂŶnjŚŝ &ĂĐƵůƚLJŽĨsĞƚĞƌŝŶĂƌLJDĞĚŝĐŝŶĞ͕ >ĂďŽƌĂƚŽƌLJŽĨ^ƉĂĐĞdĞĐŚŶŽůŽŐLJ͕ ƌŝƐƚŽƚůĞhŶŝǀĞƌƐŝƚLJŽĨdŚĞƐƐĂůŽŶŝŬŝ͕ hŶŝǀĞƌƐŝƚLJŽĨdĞĐŚŶŽůŽŐLJ;,hdͿ<ŝůŽŶŬĂůůŝŽƐƉŽŽ͕ 'ƌĞĞĐĞ͘ &ŝŶůĂŶĚ͘ WƌŽĨ͘ƌ͘ďĚƵůDĂũĞĞĚ ƌ͘DďŽLJĂ͘ƵƌƵĚŝ ĞƉĂƌƚŵĞŶƚŽĨŽƚĂŶLJ͕hŶŝǀĞƌƐŝƚLJŽĨ'ƵũƌĂƚ͕/ŶĚŝĂ͕ /ŶƚĞƌŶĂƚŝŽŶĂů>ŝǀĞƐƚŽĐŬZĞƐĞĂƌĐŚ/ŶƐƚŝƚƵƚĞ;/>Z/Ϳ ŝƌĞĐƚŽƌ,ŽƌƚŝĐƵůƚƵƌĞ͕ W͘K͘ŽdžϯϬϳϬϵEĂŝƌŽďŝϬϬϭϬϬ͕ ĂŶĚůĂŶĚƐĐĂƉŝŶŐ͘ <ĞŶLJĂ͘ /ŶĚŝĂ͘ ƌ͘ŶĚƌĞƐŝďŝůƐ WƌŽĨ͘^ƵůĞLJŵĂŶ dE ƐƐŝƐƚĂŶƚWƌŽĨĞƐƐŽƌŽĨZĂŶŐĞůĂŶĚ^ĐŝĞŶĐĞ ĞƉĂƌƚŵĞŶƚŽĨ^Žŝů^ĐŝĞŶĐĞĂŶĚWůĂŶƚEƵƚƌŝƚŝŽŶ͕ ĞƉƚ͘ŽĨŶŝŵĂůĂŶĚZĂŶŐĞ^ĐŝĞŶĐĞƐ &ĂĐƵůƚLJŽĨŐƌŝĐƵůƚƵƌĞ͕ 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^ĞĞĚƋƵĂůŝƚLJŽĨƚŚƌĞĞƐŽLJďĞĂŶǀĂƌŝĞƚŝĞƐĂƐŝŶĨůƵĞŶĐĞĚďLJŝŶƚĞƌĐƌŽƉƉŝŶŐƚŝŵĞ ĂŶĚĂƌƌĂŶŐĞŵĞŶƚŝŶŵĂŝnjĞϱϬϱ ZŝĐŚĂƌĚtĞŬĞƐĂ͕WĂƚƌŝĐŝĂEĂůŝĂŬĂĂŶĚ:ƵƐƚƵƐDƵĚŽŐŽ^ŝŵŝLJƵ WŚĞŶŽůŽŐŝĐĂůĂŶĚƋƵĂŶƚŝƚĂƚŝǀĞƉůĂŶƚĚĞǀĞůŽƉŵĞŶƚĐŚĂŶŐĞƐŝŶƐŽLJďĞĂŶ ĐƵůƚŝǀĂƌƐĐĂƵƐĞĚďLJƐŽǁŝŶŐĚĂƚĞĂŶĚƚŚĞŝƌƌĞůĂƚŝŽŶƚŽLJŝĞůĚϱϭϱ ůŽǀŝƐWŝĞƌŽnjĂŶ:ƵŶŝŽƌ͕:ĂĐŬƐŽŶ<ĂǁĂŬĂŵŝ͕DĂƌĐĞůŽƌŝĚŝ͕ DĂƌĐĞůŽDĂƌƋƵĞƐ>ŽƉĞƐDƺůůĞƌ͕DƵƌŝůŽsŝŽƚƚŽĞůŽŶƚĞĂŶĚ >ĞĂŶĚƌŽDŝĐŚĂůŽǀŝĐnj džƉĞƌŝŵĞŶƚĂůĂŶĂůLJƐŝƐŽĨĂŝƌĨůŽǁƉĂƚƚĞƌŶƐŝŶƉĞƌĨŽŵĂŶĐĞŽĨĨůĂƚƉůĂƚĞ ƐŽůĂƌĐŽůůĞĐƚŽƌƐϱϮϰ ZĂŵĂĚŚĂŶŝ͕͘ZǁĂŝĐŚŝ:͘͘DŝŶũĂĂŶĚ<ĂƌŽůŝE͘EũĂƵ WŚLJƐŝĐĂůĂŶĚĐŚĞŵŝĐĂůƉĂƌĂŵĞƚĞƌƐ͕ƚŽƚĂůƉŚĞŶŽůƐĂŶĚƚŚĞĂŶƚŝŽdžŝĚĂŶƚ ĂĐƚŝǀŝƚLJŽĨWĞƋƵŝ;ĂƌLJŽĐĂƌďƌĂƐŝůŝĞŶƐĞĂŵďͿϱϯϰ WůĄĐŝĚŽ'͘Z͕͘^ŝůǀĂZ͘D͕͘^ŝůǀĂD͘͘W͕͘ĂůŝĂƌŝD͕͘ĞůŝƐĄƌŝŽ͘D͘ĂŶĚĂŐŶŝŶ͘ ƐƚŝŵĂƚŝŽŶŽĨĂŶŶƵĂůLJŝĞůĚĂŶĚƋƵĂůŝƚLJŽĨ͞sĂůġŶĐŝĂ͟ŽƌĂŶŐĞƌĞůĂƚĞĚƚŽ ŵŽŶƚŚůLJǁĂƚĞƌĚĞĨŝĐŝĞŶĐŝĞƐϱϰϯ sŝĐƚŽƌƌƵŶŝŶŝDŽƌĞƚŽĂŶĚ'ůĂƵĐŽĚĞ^ŽƵnjĂZŽůŝŵ ĨƌŝĐĂŶ:ŽƵƌŶĂůŽĨŐƌŝĐƵůƚƵƌĂůZĞƐĞĂƌĐŚ dĂďůĞŽĨŽŶƚĞŶƚƐ͗sŽůƵŵĞϭϬEƵŵďĞƌϲ ϱ &ĞďƌƵĂƌLJ͕ϮϬϭϱ /ƌƌŝŐĂƚŝŽŶǁĂƚĞƌƉƌŝĐŝŶŐŝŶǁĂƐŚZŝǀĞƌĂƐŝŶŽĨƚŚŝŽƉŝĂ͗ ǀĂůƵĂƚŝŽŶŽĨŝƚƐŝŵƉĂĐƚŽŶƐĐŚĞŵĞͲůĞǀĞůŝƌƌŝŐĂƚŝŽŶƉĞƌĨŽƌŵĂŶĐĞƐĂŶĚ ǁŝůůŝŶŐŶĞƐƐƚŽƉĂLJϱϱϰ DĞŬŽŶĞŶLJĂŶĂ͕'ĞďƌĞŵĞƐŬĞůdĞŬůĂLJ͕DĞŶŐŝƐƚƵďĂƚĞ͕&ĂƐŝůƐŚĞƚƵĂŶĚ DĞůŬĂŵƵDĂĚĂ DŽŶŝƚŽƌŝŶŐŽĨŽƵƚĐƌŽƉƐǁĂƚĞƌƐƋƵĂůŝƚLJŝŶƚŚĞǁĂƚĞƌƐŚĞĚhĐƌĞĞŬϱϲϲ :ŽƐĠŶƚŽŶŝŽZ͘^ŽƵnjĂ͕ĞďŽƌĂ͘DŽƌĞŝƌĂ͕EĂŝĂƌĂD͘ŽŶĚĠ͕ tĂŶĚĞƌďĞƚŚ͘ĂƌǀĂůŚŽĂŶĚůƵşnjŝŽ͘&ĞƌŶĂŶĚĞƐ 'ƌŽǁƚŚ͕LJŝĞůĚĂŶĚƋƵĂůŝƚLJƌĞƐƉŽŶƐĞƐƚŽƉůĂŶƚƐƉĂĐŝŶŐŝŶƉŽƚĂƚŽ ^ŽůĂŶƵŵƚƵďĞƌŽƐƵŵͿǀĂƌŝĞƚŝĞƐϱϳϭ ZŽďĞƌƚDĂŶŐĂŶŝ͕hƉĞŶLJƵDĂnjĂƌƵƌĂ͕dƵĂƌŝƌĂďĚƵĞůDƚĂŝƚĂĂŶĚ ĚŵŝƌĞ^ŚĂLJĂŶŽǁĂŬŽ Vol. 10(6), pp. 450-457, 5 February, 2015 DOI: 10.5897/AJAR2014.9399 Article Number: F230B0550166 African Journal of Agricultural ISSN 1991-637X Copyright ©2015 Research Author(s) retain the copyright of this article http://www.academicjournals.org/AJAR Full Length Research Paper Soil carbon dioxide flux in a no-tillage winter system Rafael Pivotto Bortolotto1, Telmo Jorge Carneiro Amado1, Douglas Dalla Nora1*, Cristiano Keller1, Debora Roberti2, Jackson Ernani Fiorin3, Klaus Reichardt4, João Fernando Zamberlan5, Mauricio Paulo Batistella Pasini6 and Rodrigo da Silveira Nicoloso7 1Department of Soil Science, Federal University of Santa Maria (UFSM), Avenida Roraima, 100, 97105-900, Santa Maria, Rio Grande do Sul, Brazil. 2Department of Soil Physics, Federal University of Santa Maria (UFSM), Avenida Roraima, 100, 97105-900, Santa Maria, Rio Grande do Sul, Brazil. 3Cooperativa Central Gaúcha Ltda Tecnologia (CCGL Tec), Estrada RS 342, Km 149, Caixa Postal 10, 98005-970, Cruz Alta Rio Grande do Sul Brazil/University of Cruz Alta (UNICRUZ), Rodovia Municipal Jacob Della Méa, Km 5, 98020- 290, Cruz Alta, Rio Grande Sul, Brazil. 4Center for Nuclear Energy in Agriculture, University de São Paulo (CENA/USP), Avenida Centenario, 303, bairro São Dimas, caixa postal 96, 13400-970, Piracicaba, São Paulo, Brazil. 5University of Cruz Alta (UNICRUZ), Rodovia Municipal Jacob Della Méa, Km 5, 98020-290,
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    Revista de Economia Contemporânea (2020) 24(3): p. 1-41 (Journal of Contemporary Economics) ISSN 1980-5527 Articles DOI - http://dx.doi.org/10.1590/198055272432 elocation - e202432 https://revistas.ufrj.br/index.php/rec | www.scielo.br/rec DRIVERS OF SCIENTIFIC-TECHNOLOGICAL PRODUCTION IN BRAZILIAN HIGHER EDUCATION AND RESEARCH INSTITUTIONS Maria Gabriela Pinheiro Duartea Eduardo Gonçalvesb Flávia Cheinc Juliana Gonçalves Taveirad aMaster in Economics Federal University of Juiz de Fora. Juiz de Fora, MG, Brazil. ORCID: https://orcid.org/0000-0003-0605-3632. bProfessor at the Department of Economics, Federal University of Juiz de Fora. Juiz de Fora, MG, Brazil. ORCID: https://orcid.org/0000-0003-2017-3454. cProfessor at the Department of Economics, Federal University of Juiz de Fora. Juiz de Fora, MG, Brazil. ORCID: https://orcid.org/0000-0003-4002-2522. dProfessor at the Department of Economics, Federal University of Juiz de Fora. Governador Valadares, MG, Brazil. ORCID: https://orcid.org/0000-0001-5487-8669. Received on 11 January 2018 Accepted on 01 June 20201 ABSTRACT: This article estimates a knowledge production function for Brazilian universities, relating their inputs of scientific activity, such as the total of academic and administrative personnel and investments in scientific research, among others, to their outputs, such as the number of publications and patents. The article applies econometric models for count data, such as the Negative Binomial, for the 2003-2011 period. The overall results show that the main determinants of Brazilian scientific and technological production are the size of the university, its nature (whether public or private), the ratio of teaching staff and graduate students, and total investments in research and research support.
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  • The Care of the Mother to the Child/Adolescent with Cerebral Palsy
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  • Prognostic Value of the Six-Minute Walk Test in End- Stage Renal Disease Life Expectancy: a Prospective Cohort Study
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    UBICOMM 2013 : The Seventh International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies Ubiquitous Learning – Treating the Context of Students Learning Styles Andreia Rosangela Kessler Mühlbeier, Felipe Becker Nunes, Gleizer Bierhalz Voss, Rafaela Ribeiro Jardim, Roseclea Duarte Medina PPGI - Programa de Pós-Graduação em Informática UFSM - Universidade Federal de Santa Maria Santa Maria - Brasil {dehiamuhlbeier, nunesfb, gleizer.voss, rafa.rjardim, roseclea.medina}@gmail.com Abstract— The increasing use of mobile devices and the wide different dimensions of learning styles, presenting an dissemination of learning environments encourage educators to adaptation of the ubiquitous environment seamlessly with the find methods that involve mobile and ubiquitous computing. style of the predominant user. This scenario allows the development of environments geared This paper is organized as follows. In Section II, we to teaching, in which characteristics of the context information introduce the theory base for ubiquitous learning. In Section from the student should be treated apart. Thus, it arises a new paradigm, ubiquitous learning, and enabling differentiated III, we introduce the study of learning styles. In Section IV, instruction. This article presents a survey that has founded, by we introduce the results and discussions. In Section V, there analyzing evidential theory and practice, the similarity are partial considerations and at the last Section are between the different dimensions of learning styles, presenting presented the references. an adaptation of the ubiquitous environment seamlessly with the style of the predominant user. II. UBIQUITOUS LEARNING Ubiquitous learning or u-learning is viewed these days Keywords-learning styles; ubiquitous learning; mobile as a new learning paradigm. This expansion of previous computing.
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  • Drivers of Scientific-Technological Production in Brazilian Higher Education and Research Institutions
    Revista de Economia Contemporânea (2020) 24(3): p. 1-41 (Journal of Contemporary Economics) ISSN 1980-5527 Articles DOI - http://dx.doi.org/10.1590/198055272432 elocation - e202432 https://revistas.ufrj.br/index.php/rec | www.scielo.br/rec DRIVERS OF SCIENTIFIC-TECHNOLOGICAL PRODUCTION IN BRAZILIAN HIGHER EDUCATION AND RESEARCH INSTITUTIONS Maria Gabriela Pinheiro Duartea Eduardo Gonçalvesb Flávia Cheinc Juliana Gonçalves Taveirad aMaster in Economics Federal University of Juiz de Fora. Juiz de Fora, MG, Brazil. ORCID: https://orcid.org/0000-0003-0605-3632. bProfessor at the Department of Economics, Federal University of Juiz de Fora. Juiz de Fora, MG, Brazil. ORCID: https://orcid.org/0000-0003-2017-3454. cProfessor at the Department of Economics, Federal University of Juiz de Fora. Juiz de Fora, MG, Brazil. ORCID: https://orcid.org/0000-0003-4002-2522. dProfessor at the Department of Economics, Federal University of Juiz de Fora. Governador Valadares, MG, Brazil. ORCID: https://orcid.org/0000-0001-5487-8669. Received on 11 January 2018 Accepted on 01 June 20201 ABSTRACT: This article estimates a knowledge production function for Brazilian universities, relating their inputs of scientific activity, such as the total of academic and administrative personnel and investments in scientific research, among others, to their outputs, such as the number of publications and patents. The article applies econometric models for count data, such as the Negative Binomial, for the 2003-2011 period. The overall results show that the main determinants of Brazilian scientific and technological production are the size of the university, its nature (whether public or private), the ratio of teaching staff and graduate students, and total investments in research and research support.
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