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| Member since Feb '08 Working languages:English to PortugueseSpanish to PortugueseGerman to PortuguesePortuguese to EnglishJapanese to Portuguese Portuguese to SpanishItalian to PortugueseFrench to PortuguesePortuguese to German  | August 2008 |  | | S | M | T | W | T | F | S |
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| Luciano Eduardo de Oliveira Passionate, reliable Brazil, / Native in: Portuguese | Contact:  | |
| | Freelancer, Verified member | | | Translation, Interpreting, Editing/proofreading, Website localization, Software localization, Voiceover (dubbing), Subtitling, Transcription | | | Specializes in: | | Medical: Health Care | Business/Commerce (general) | | Journalism | Media / Multimedia | | Advertising / Public Relations | Social Science, Sociology, Ethics, etc. | | Tourism & Travel | Education / Pedagogy | | Medical (general) | Automotive / Cars & Trucks |
| Also works in: | | Anthropology | History | | Food & Dairy | Botany | | Biology (-tech,-chem,micro-) | Cinema, Film, TV, Drama | | Medical: Dentistry | Certificates, Diplomas, Licenses, CVs | | Marketing / Market Research | General / Conversation / Greetings / Letters | | Folklore | Law (general) | | Law: Contract(s) | Religion | | Human Resources | Idioms / Maxims / Sayings | | Archaeology | Poetry & Literature | | Cooking / Culinary | Finance (general) | | Geography | Linguistics | | Livestock / Animal Husbandry | Medical: Cardiology | | Nutrition | Psychology | | Science (general) | Zoology | | Environment & Ecology | Engineering (general) |
| | | Questions answered: 538, Questions asked: 35, PRO-level points: 512 | | Sample translations submitted: 1| Portuguese to English: COMPARAÇÃO ENTRE TRÊS METODOLOGIAS PARA AVALIAR A IDADE À PRIMEIRA CONCEPÇÃO EM ÉGUAS DA RAÇA PURO-SANGUE | Source text - Portuguese No Brasil, devido à existência do ano hípico para a raça Puro-Sangue Inglês, os dados reprodutivos são geralmente truncados, já que os criadores tentam obter produtos nascidos no começo do ano hípico, a fim de aproveitarem a vantagem competitiva (animais mais desenvolvidos, maduros e treinados) destes em relação aos animais nascidos mais tardiamente no mesmo ano hípico. Para análise destes dados deve-se utilizar metodologias adequadas. Sendo assim, este trabalho teve como objetivo a comparação de três metodologias, método da Máxima Verossimilhança Restrita, com a utilização do aplicativo MTDFREML, análise Bayesiana sem dados censurados através do software MTGSAM e análise Bayesiana com dados censurados através do software LMCD, para avaliação da idade à primeira concepção em éguas da raça Puro-Sangue Inglês, a fim de verificar seu impacto na escolha de reprodutores durante o processo de seleção dos animais. O arquivo de dados final continha 3.509 registros de idade à primeira à concepção (meses) de éguas da raça Puro-Sangue Inglês. As estimativas de herdabilidades obtidas foram iguais a 0,23, 0,30 e 0,0926 (escala log), para o MTDF, MTGSAM e LMCD, respectivamente. Considerando todos os animais do pedigree (6.713), as correlações de ranking variaram de 0,52 a 0,99. Quando considerado apenas os garanhões (656), variaram de 0,48 a 0,99 (considerando diferentes porcentagens de machos selecionados) entre as metodologias de avaliação. As maiores mudanças na classificação geral foram observadas quando comparado o LMCD com as outras duas metodologias (MTDF e MTGSAM). Considerando que o modelo linear censurado é o mais adequado para análise de características com dados censurados, observou-se que as informações de censura levariam a escolha de diferentes animais durante o processo de seleção, quando comparado com as outras duas metodologias de análise. | Translation - English In Brazil, owing to thoroughbred racing years, the reproductive data are normally altered, as the breeders try to obtain products born at the beginning of the racing year so that they may profit from the competitive advantages (more developed, mature and trained animals) shown in these animals rather than in the ones born later in the same racing year. With that in mind, this paper aims at comparing three methods, the method of maximum restricted verisimilitude, using MTDFREML, Bayesian analysis without censored data by means of the software MTGSAM and Bayesian analysis with censored data by menas of the program LMCD, to evaluate age at first conception in thoroughbred mares, in order to verify its impact on the choice of stallions during animal selection process. The final data archive contained 3,509 records for age at first conception (months) for thoroughbred mares. Hereditability estimates obtained were equal to 0.23, 0.30 and 0.0926 (log scale), for MTDF, MTGSAM and LMCD, respectively. Considering all pedigree animals (6,713), ranking correlations varied from 0.52 to 0.99. When only stallions are considered (656), those varied from 0.48 to 0.99 (considering different percentages of selected males) between evaluation methods. The biggest changes in the general classification were observed when LMCD was compared to other two methods (MTDF and MTGSAM). Considering that the linear censored model is the most suitable one for trait analysis with censored data, it was observed that censor information would lead to choosing different animals during selection process, when compared to other two analysis methods. |
| | | BA | | | Years of translation experience: 9. Registered at ProZ.com: Aug 2007. Became a member: Feb 2008. | | English to Portuguese (BA (English, Portuguese) at Unifac, Brazil) English to Portuguese (IELTS) Spanish to Portuguese (BA (English, Portuguese) at Unifac, Brazil) Portuguese to Spanish (DELE Superior) German to Portuguese (BA (Portuguese) at Unifac, Brazil)
Japanese to Portuguese (Noryoku shiken - Japanese Language Proficiency Tes) Spanish to Portuguese (Asociación Argentina de Traductores e Intérpretes)
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| | | N/A | | | Adobe Acrobat, Adobe Photoshop, Microsoft Excel, Microsoft Word, Powerpoint, Wordfast | | | http://linguaetextae.blogspot.com, CV/Resume: English | | | Luciano Eduardo de Oliveira endorses ProZ.com's Professional Guidelines. | | About me
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| Keywords: Medicine, biology, zoology, general language, letters, documents, politics, journalism, history, sociology, marketing, contracts, manuals, computers, business, literature, Portuguese, English, Spanish, German. |