Academic literature on the topic 'Comparative methody'
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Journal articles on the topic "Comparative methody"
Ikhatua, U. J., and F. O. Olubajo. "STUDIES ON PROTEIN REQUIREMENTS OF STEERS." Nigerian Journal of Animal Production 6 (January 19, 2021): 88–93. http://dx.doi.org/10.51791/njap.v6i.2673.
Full textKim, Tae-Woong. "Comparative Analysis of Estimation Methods for Basin Averaged Effective Rainfall Using NRCS-CN Method." Journal of the Korean Society of Civil Engineers 34, no. 2 (2014): 493. http://dx.doi.org/10.12652/ksce.2014.34.2.0493.
Full textPradhan, Arjyadhara, Dr S. M. Ali Dr S.M Ali, and Ritesh Dash. "A Comparative Study of Perturb-Observance Method and Incremental Conductance Method." Indian Journal of Applied Research 3, no. 5 (October 1, 2011): 206–8. http://dx.doi.org/10.15373/2249555x/may2013/62.
Full textvikram, Dr Archana, Dr Vikram S. Dr.Vikram S, Dr Rajalakshmi T. N. Dr.Rajalakshmi T N, Dr Ajith S. Dr.Ajith S, and Dr Rajagopal K. Dr.Rajagopal.K. "Comparative Study of Mechanical Methods for Cervical Ripening." Global Journal For Research Analysis 3, no. 2 (June 15, 2012): 172–74. http://dx.doi.org/10.15373/22778160/february2014/56.
Full textLim, Hyun-Il. "Comparative Analysis of Technical Methods for Detecting Software Thefts." Journal of Computers 11, no. 1 (January 2016): 26–32. http://dx.doi.org/10.17706/jcp.11.1.26-32.
Full textGEORGIEV, Rumen, and Kolyo KOLEV. "COMPARATIVE ANALYSIS OF TUNING MISSILE AUTOPILOTS USING INTELLIGENT METHODS." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (June 24, 2016): 251–58. http://dx.doi.org/10.19062/2247-3173.2016.18.1.34.
Full textZILBERGLEIT, M. A., V. I. TEMRUK, T. A. LOBAN, I. MAEVSKAYA, M. A. SHAUCHUK, S. V. NESTEROVA, P. A. CHUBIS, et al. "СРАВНИТЕЛЬНАЯ ОЦЕНКА МЕТОДОВ АНАЛИЗА РАЗМЕРА ПОР БАРЬЕРНЫХ БУМАГ." Polymer materials and technologies 6, no. 3 (2020): 29–37. http://dx.doi.org/10.32864/polymmattech-2020-6-3-29-37.
Full textBurboa Meza, Cinthya Y., Alexandra Zazueta Avitia, David Ramírez Alvarado, Miguel A. Segura Castruita, Paola A. Palmeros Suarez, and Juan F. Gómez-Leyva. "DIAGNÓSTICO COMPARATIVO DE BRUCELOSIS MEDIANTE MÉTODOS SEROLÓGICOS Y MOLECULARES." e-CUCBA 8, no. 16 (May 31, 2021): 50–55. http://dx.doi.org/10.32870/ecucba.vi16.198.
Full textKashyap, Yashwant, Ankit Bansal, Anil K. Sao, and Satyanarayan Patel. "Comparative Study of Parameter Estimation Methods for Solar Irradiation Forecasting." Journal of Clean Energy Technologies 4, no. 3 (2015): 192–96. http://dx.doi.org/10.7763/jocet.2016.v4.278.
Full textPharande, Ms Damini, and S. R. Suryawanshi. "Comparative Study of Aluminum Formwork Design Using Various Codal Methods." Journal of Advances and Scholarly Researches in Allied Education 15, no. 2 (April 1, 2018): 370–74. http://dx.doi.org/10.29070/15/56849.
Full textDissertations / Theses on the topic "Comparative methody"
Engelmann, Martin. "Analýza vlivu lokality na obvyklou cenu bytové jednotky v lokalitě Moravské Budějovice a Jemnice." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-233159.
Full textMesclier, Évelyne. "Dynamics of the local territories: why and how to study and compare them within a globalized world." Pontificia Universidad Católica del Perú. Centro de Investigación en Geografía Aplicada, 2014. http://repositorio.pucp.edu.pe/index/handle/123456789/119664.
Full textLa globalización no es solo una transformación del mundo económico sino también del espacio geográfico en su conjunto. Los territorios locales participan en esta transformación. Estudiar y comparar sus evoluciones nos puede ayudar a analizar tanto la globalización, en su construcción, en sus efectos y en sus límites, como la existencia de dinámicas sociales y políticas que no son globalizadas. La reflexión se fundamenta sobre casos estudiados en el Perú, en colaboración con otros investigadores franceses y peruanos.
Snowden, Kelly E. "Teacher Perceptions of the Flipped Classroom: Using Video Lectures Online to Replace Traditional In-class Lectures." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc149663/.
Full textEriksen, Niklas. "Combinatorial methods in comparative genomics." Doctoral thesis, KTH, Mathematics, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3508.
Full textPurvis, A. "Comparative methods : theory and practice." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315843.
Full textSingh, Jagmeet 1980. "Comparative analysis of robust design methods." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35630.
Full textIncludes bibliographical references (p. 161-163).
Robust parameter design is an engineering methodology intended as a cost effective approach to improve the quality of products, processes and systems. Control factors are those system parameters that can be easily controlled and manipulated. Noise factors are those system parameters that are difficult and/or costly to control and are presumed uncontrollable. Robust parameter design involves choosing optimal levels of the controllable factors in order to obtain a target or optimal response with minimal variation. Noise factors bring variability into the system, thus affecting the response. The aim is to properly choose the levels of control factors so that the process is robust or insensitive to the variation caused by noise factors. Robust parameter design methods are used to make systems more reliable and robust to incoming variations in environmental effects, manufacturing processes and customer usage patterns. However, robust design can become expensive, time consuming, and/or resource intensive. Thus research that makes robust design less resource intensive and requires less number of experimental runs is of great value. Robust design methodology can be expressed as multi-response optimization problem.
(cont.) The objective functions of the problem being: maximizing reliability and robustness of systems, minimizing the information and/or resources required for robust design methodology, and minimizing the number of experimental runs needed. This thesis discusses various noise factor strategies which aim to reduce number of experimental runs needed to improve quality of system. Compound Noise and Take-The-Best-Few Noise Factors Strategy are such noise factor strategies which reduce experimental effort needed to improve reliability of systems. Compound Noise is made by combing all the different noise factors together, irrespective of the number of noise factors. But such a noise strategy works only for the systems which show effect sparsity. To apply the Take-The-Best-Few Noise Factors Strategy most important noise factors in system's noise factor space are found. Noise factors having significant impact on system response variation are considered important. Once the important noise factors are identified, they are kept independent in the noise factor array. By selecting the few most important noise factors for a given system, run size of experiment is minimized.
(cont.) Take-The-Best-Few Noise Factors Strategy is very effective for all kinds of systems irrespective of their effect sparsity. Generally Take-The-Best-Few Noise Factors Strategy achieves nearly 80% of the possible improvement for all systems. This thesis also tries to find the influence of correlation and variance of induced noise on quality of system. For systems that do not contain any significant three-factor interactions correlation among noise factors can be neglected. Hence amount of information needed to improve the quality of systems is reduced.
by Jagmeet Singh.
Ph.D.
Fontenele, Rildson Melo. "ExigÃncias nutricionais de cordeiros da raÃa Somalis brasileira." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16621.
Full textObjetivou-se com o seguinte trabalho determinar as exigÃncias nutricionais de energia e proteÃna em ovinos Somalis Brasileira. Utilizou-se 48 ovinos Somalis Brasileira em crescimento, nÃo-castrados, com idade e peso corporal (PC) mÃdio de 60 dias e 13,47  1,76 kg, respectivamente. ApÃs um perÃodo de adaptaÃÃo de 20 dias, oito animais foram abatidos e utilizados como referÃncia para estimativas do peso de corpo vazio (PCVZ) e da composiÃÃo corporal inicial dos demais animais. Os animais remanescentes foram distribuÃdos em um delineamento em blocos casualizados, sendo os tratamentos, raÃÃes contendo diferentes nÃveis de energia metabolizÃvel (1,18; 2,07; 2,25; 2,42 e 2,69 Mcal/kg MS), com oito repetiÃÃes. O peso de abate foi determinado quando a mÃdia de peso dos animais de um dos cinco tratamentos atingiu 28 kg. A exigÃncia lÃquida de energia para mantenÃa foi estimado extrapolando-se a equaÃÃo de regressÃo do logaritmo da produÃÃo de calor, em funÃÃo do consumo de energia metabolizÃvel (CEM) para o nÃvel zero de CEM. A excreÃÃo diÃria de nitrogÃnio (N) foi estimada extrapolando-se a equaÃÃo de regressÃo de consumo de N (g/kg PC0,75/dia) em funÃÃo da retenÃÃo de N (g/kg PC0,75/dia) para o consumo zero. Foram ajustadas equaÃÃes de regressÃo do logaritmo do conteÃdo de gordura, energia e proteÃna em funÃÃo do logaritmo do PCVZ dos animais. A concentraÃÃo de energia lÃquida da dieta para mantenÃa, foi obtida dividindo-se a produÃÃo de calor em jejum, pelo CMS para manter o equilÃbrio de energia, expresso em g de MS/kg PCVZ0,75. A validaÃÃo do modelo SRNS foi realizada atravÃs do ajuste de modelo de regressÃo linear simples entre os valores preditos (variÃvel independente) e observados (variÃvel dependente), as variÃveis analisadas foram CMS e GPC. A composiÃÃo quÃmica corporal foi determinada utilizando a composiÃÃo da meia carcaÃa direita, assim como uma amostra da seÃÃo HH, obtida da meia carcaÃa esquerda. Na meia-carcaÃa esquerda resfriada, retirou-se o corte da seÃÃo HH, pela secÃÃo transversal da 9a-10a-11a costelas no ponto correspondente a 61,5% da distÃncia entre a vÃrtebra seccionada e o inÃcio da cartilagem da 12a costela, em seguida, a seÃÃo HH foi moÃda em moedor de carne industrial e homogeneizada. O ganho mÃdio diÃrio e o ganho de peso de corpo vazio aumentaram linearmente com o aumento dos nÃveis de energia metabolizÃveis. Jà o peso corporal final, peso corporal ao abate, peso de corpo vazio, consumo de matÃria seca e consumo de energia metabolizÃvel apresentaram efeito quadrÃtico (P <0,001) com o aumento do nÃvel de energia. O teor de energia e de gordura de PCVZ dos animais aumentou de 2,77 Mcal/kg e 209,17 g/kg para 3,47 Mcal/kg e 294,08 g/kg de PCVZ, respectivamente, e o PC aumentou de 13,00 para 28,70 kg. O consumo de nitrogÃnio apresentou efeito quadrÃtico, com ponto de mÃxima de 2,59 Mcal/kg MS de energia metabolizÃvel, correspondendo ao consumo mÃximo de N de 2,90 g/kg PC0,75/dia. Jà para o nitrogÃnio retido diariamente, observou-se resposta linear crescente com o aumento nos nÃveis de energia metabolizÃvel nas dietas. Observou-se uma diminuiÃÃo da quantidade de proteÃna no corpo vazio dos animais com o aumento do PCVZ, passando de 143,71 para 122,52 g/kg PCVZ, quando os animais aumentaram o peso corporal de 13,00 para 28,70 kg. A excreÃÃo diÃria de N foi estimada em 0,128 g/kg PC0,75/dia. A composiÃÃo corporal de ovinos Somalis Brasileira varia de 538,28 a 593,93 g/kg de PCVZ para Ãgua, 228,17 a 353,13 g/kg de PCVZ para gordura, 114,53 a 157,93 g/kg de PCVZ para poteÃna e 17,94 a 31,68 g/kg de PCVZ de matÃria mineral, para dietas contendo 1,18 a 2,69 Mcal/kg de MS, respectivamente. A exigÃncia lÃquida de energia para mantenÃa à 45,63 g/kg PCVZ0,75/dia. O aumento no peso dos animais de 13,00 para 28,70 kg PC eleva as deposiÃÃes de gordura de 283,75 para 398,93 g/kg GPCVZ e energia de 3,42 para 4,30 Mcal/kg GPCVZ. A exigÃncia lÃquida de proteÃna para mantenÃa à 0,80 g/kg PC0,75/dia, havendo uma diminuiÃÃo da exigÃncia lÃquida de proteÃna para GPCVZ de 119,72 para 102,07 g/kg GPCVZ, conforme o peso corporal aumenta de 13,00 para 28,70 kg. A eficiÃncia de uso da energia metabolizÃvel para mantenÃa à de 0,67. Jà a eficiÃncia de uso da energia metabolizÃvel para ganho varia de 1,85 a 0,43 para dietas contendo 1,18 a 2,69 Mcal/hg MS respectivamente. As exigÃncias lÃquidas de energia e proteÃna elevam-se com o aumento do peso corporal e aumento do ganho de peso corporal dos ovinos Somalis Brasileira. O modelo Small Ruminant Nutrition Systems à sensÃvel para predizer o consumo de matÃria seca, entretanto, subestimou em 5,18% o ganho mÃdio diÃrio de peso corporal. A seÃÃo HH estimou satisfatoriamente a composiÃÃo quÃmica de Ãgua, proteÃna e gordura na carcaÃa e no corpo vazio, enquanto o teor de minerais foi subestimado em torno de 27,07% na carcaÃa e 14,91% no corpo vazio. Os teores de Ãgua, proteÃna bruta e gordura da carcaÃa podem ser preditos pela seÃÃo HH. Por fim, a composiÃÃo quÃmica da seÃÃo HH pode ser utilizada em substituiÃÃo à composiÃÃo quÃmica da carcaÃa para predizer composiÃÃo quÃmica do corpo vazio em ovinos Somalis Brasileira.
Objetivou-se com o seguinte trabalho determinar as exigÃncias nutricionais de energia e proteÃna em ovinos Somalis Brasileira. Utilizou-se 48 ovinos Somalis Brasileira em crescimento, nÃo-castrados, com idade e peso corporal (PC) mÃdio de 60 dias e 13,47  1,76 kg, respectivamente. ApÃs um perÃodo de adaptaÃÃo de 20 dias, oito animais foram abatidos e utilizados como referÃncia para estimativas do peso de corpo vazio (PCVZ) e da composiÃÃo corporal inicial dos demais animais. Os animais remanescentes foram distribuÃdos em um delineamento em blocos casualizados, sendo os tratamentos, raÃÃes contendo diferentes nÃveis de energia metabolizÃvel (1,18; 2,07; 2,25; 2,42 e 2,69 Mcal/kg MS), com oito repetiÃÃes. O peso de abate foi determinado quando a mÃdia de peso dos animais de um dos cinco tratamentos atingiu 28 kg. A exigÃncia lÃquida de energia para mantenÃa foi estimado extrapolando-se a equaÃÃo de regressÃo do logaritmo da produÃÃo de calor, em funÃÃo do consumo de energia metabolizÃvel (CEM) para o nÃvel zero de CEM. A excreÃÃo diÃria de nitrogÃnio (N) foi estimada extrapolando-se a equaÃÃo de regressÃo de consumo de N (g/kg PC0,75/dia) em funÃÃo da retenÃÃo de N (g/kg PC0,75/dia) para o consumo zero. Foram ajustadas equaÃÃes de regressÃo do logaritmo do conteÃdo de gordura, energia e proteÃna em funÃÃo do logaritmo do PCVZ dos animais. A concentraÃÃo de energia lÃquida da dieta para mantenÃa, foi obtida dividindo-se a produÃÃo de calor em jejum, pelo CMS para manter o equilÃbrio de energia, expresso em g de MS/kg PCVZ0,75. A validaÃÃo do modelo SRNS foi realizada atravÃs do ajuste de modelo de regressÃo linear simples entre os valores preditos (variÃvel independente) e observados (variÃvel dependente), as variÃveis analisadas foram CMS e GPC. A composiÃÃo quÃmica corporal foi determinada utilizando a composiÃÃo da meia carcaÃa direita, assim como uma amostra da seÃÃo HH, obtida da meia carcaÃa esquerda. Na meia-carcaÃa esquerda resfriada, retirou-se o corte da seÃÃo HH, pela secÃÃo transversal da 9a-10a-11a costelas no ponto correspondente a 61,5% da distÃncia entre a vÃrtebra seccionada e o inÃcio da cartilagem da 12a costela, em seguida, a seÃÃo HH foi moÃda em moedor de carne industrial e homogeneizada. O ganho mÃdio diÃrio e o ganho de peso de corpo vazio aumentaram linearmente com o aumento dos nÃveis de energia metabolizÃveis. Jà o peso corporal final, peso corporal ao abate, peso de corpo vazio, consumo de matÃria seca e consumo de energia metabolizÃvel apresentaram efeito quadrÃtico (P <0,001) com o aumento do nÃvel de energia. O teor de energia e de gordura de PCVZ dos animais aumentou de 2,77 Mcal/kg e 209,17 g/kg para 3,47 Mcal/kg e 294,08 g/kg de PCVZ, respectivamente, e o PC aumentou de 13,00 para 28,70 kg. O consumo de nitrogÃnio apresentou efeito quadrÃtico, com ponto de mÃxima de 2,59 Mcal/kg MS de energia metabolizÃvel, correspondendo ao consumo mÃximo de N de 2,90 g/kg PC0,75/dia. Jà para o nitrogÃnio retido diariamente, observou-se resposta linear crescente com o aumento nos nÃveis de energia metabolizÃvel nas dietas. Observou-se uma diminuiÃÃo da quantidade de proteÃna no corpo vazio dos animais com o aumento do PCVZ, passando de 143,71 para 122,52 g/kg PCVZ, quando os animais aumentaram o peso corporal de 13,00 para 28,70 kg. A excreÃÃo diÃria de N foi estimada em 0,128 g/kg PC0,75/dia. A composiÃÃo corporal de ovinos Somalis Brasileira varia de 538,28 a 593,93 g/kg de PCVZ para Ãgua, 228,17 a 353,13 g/kg de PCVZ para gordura, 114,53 a 157,93 g/kg de PCVZ para poteÃna e 17,94 a 31,68 g/kg de PCVZ de matÃria mineral, para dietas contendo 1,18 a 2,69 Mcal/kg de MS, respectivamente. A exigÃncia lÃquida de energia para mantenÃa à 45,63 g/kg PCVZ0,75/dia. O aumento no peso dos animais de 13,00 para 28,70 kg PC eleva as deposiÃÃes de gordura de 283,75 para 398,93 g/kg GPCVZ e energia de 3,42 para 4,30 Mcal/kg GPCVZ. A exigÃncia lÃquida de proteÃna para mantenÃa à 0,80 g/kg PC0,75/dia, havendo uma diminuiÃÃo da exigÃncia lÃquida de proteÃna para GPCVZ de 119,72 para 102,07 g/kg GPCVZ, conforme o peso corporal aumenta de 13,00 para 28,70 kg. A eficiÃncia de uso da energia metabolizÃvel para mantenÃa à de 0,67. Jà a eficiÃncia de uso da energia metabolizÃvel para ganho varia de 1,85 a 0,43 para dietas contendo 1,18 a 2,69 Mcal/hg MS respectivamente. As exigÃncias lÃquidas de energia e proteÃna elevam-se com o aumento do peso corporal e aumento do ganho de peso corporal dos ovinos Somalis Brasileira. O modelo Small Ruminant Nutrition Systems à sensÃvel para predizer o consumo de matÃria seca, entretanto, subestimou em 5,18% o ganho mÃdio diÃrio de peso corporal. A seÃÃo HH estimou satisfatoriamente a composiÃÃo quÃmica de Ãgua, proteÃna e gordura na carcaÃa e no corpo vazio, enquanto o teor de minerais foi subestimado em torno de 27,07% na carcaÃa e 14,91% no corpo vazio. Os teores de Ãgua, proteÃna bruta e gordura da carcaÃa podem ser preditos pela seÃÃo HH. Por fim, a composiÃÃo quÃmica da seÃÃo HH pode ser utilizada em substituiÃÃo à composiÃÃo quÃmica da carcaÃa para predizer composiÃÃo quÃmica do corpo vazio em ovinos Somalis Brasileira.
The objective of the following work to determine the nutritional requirements of energy and protein in Brazilian Somali sheep. We used 48 sheep Brazilian Somali growing, non-castrated, age and body weight (BW) average of 60 days and 13.47 Â 1.76 kg respectively. After a 20 day adaptation period, eight animals were slaughtered and used as a reference for estimates of empty body weight (EBW) and initial body composition of other animals. The remaining animals were distributed in a randomized block design, with the treatments, diets with different levels of metabolizable energy (1.18; 2.07; 2.25; 2.42 and 2.69 Mcal/kg DM), with eight repetitions. The weight of slaughter animals was determined when the weight average of the five treatments was 28 kg. The net energy requirement for maintenance was estimated extrapolating the logarithmic regression equation of heat production, depending on the metabolizable energy intake (MEI) to the zero level of MEI. The daily excretion of nitrogen (N) was estimated by extrapolating to N consumption regression equation (g/BW0.75 kg/day) as a function of the N retention (g/BW 0.75 kg/day) for consumption zero. They were adjusted regression of log equations fat content, protein and energy in the logarithm of EBW animals. The concentration of net energy for maintenance diet was obtained by dividing the heat production in fasting, the DMI to maintain energy balance in g DM/kg EBW0.75. The validation of the SRNS model was performed using the simple linear regression model fit between the predicted values (independent variable) and observed (dependent variable), variables were analyzed DMI and BWG. The body composition was determined using the composition of the right half carcass, as well as a sample of the section HH, obtained from the left crankcase half. In middle housing cooled left, retreated cutting the section HH, the cross section of the 9th-10th-11th rib at the point corresponding to 61.5% of the distance between the sectioned vertebrae and the beginning of the 12th rib cartilage in then, the HH section was ground in grinder industrial and homogenised meat. The average daily gain and empty body weight gain increased linearly with increasing metabolizable energy levels. But the final body weight, body weight at slaughter, empty body weight, dry matter intake and metabolizable energy intake showed a quadratic effect (P<0.001) with increasing energy level. Energy and fat EBW of the animals increased from 2.77 Mcal/kg to 209.17 g/kg to 3.47 Mcal/kg to 294.08 g/kg EBW, respectively, and increased the BW 13.00 to 28.70 kg. Consumption of nitrogen showed quadratic effect with point of maximum of 2.59 Mcal/kg DM of metabolizable energy, corresponding to the maximum consumption of N of 2.90 g/kg BW0.75/day. As for the nitrogen retained daily, there was a positive linear correlation with the increase in metabolizable energy levels in the diets. There was a decreased amount of protein in the empty body of animals with increased EBW, from 143.71 to 122.52 g/kg EBW, when the animals increased the body weight of 13.00 to 28.70 kg. The daily excretion of N was estimated at 0.128 g/BW0.75 kg/day. The body composition of Brazilian Somali sheep ranges from 538.28 to 593.93 g/kg EBW for water, from 228.17 to 353.13 g/kg EBW for fat, 114.53 to 157.93 g/kg EBW for protein and from 17.94 to 31.68 g/kg of EBW of mineral matter, for diets containing 1.18 to 2.69 Mcal/kg DM, respectively. The net energy requirement for maintenance is 45.63 g/kg EBW0.75/day. The increase in animal weight of 13.00 to 28.70 kg BW increases the deposition of fat from 283.75 to 398.93 g/kg EBW and energy of 3.42 to 4.30 Mcal/kg EBW. The protein requirement for maintenance is 0.80 g/BW0.75 kg/day, with a decreased protein requirement for EBW of 119.72 to 102.07 g/kg EBW, as the weight increases by 13.00 to 28.70 kg. The use efficiency of metabolizable energy for maintenance is 0.67. Already use efficiency of metabolizable energy for gain varies from 1.85 to 0.43 for diets containing 1.18 to 2.69 Mcal/kg DM, respectively. The net requirements of energy and protein increase with increasing body weight and increase in body weight gain of Brazilian Somali sheep. The model Small Ruminant Nutrition Systems is sensitive to predict dry matter intake, however, underestimated in 5.18% the average daily weight gain. The section HH satisfactorily estimated the chemical composition of water, protein and fat in the carcass and empty body, while the mineral content was underestimated around 27.07% 14.91% housing and empty body. The water content, crude protein and carcass fat can be predicted by section HH. Finally, the chemical composition of section HH can be used to replace the chemical composition of the carcass to predict chemical composition of empty body in Brazilian Somalis sheep.
The objective of the following work to determine the nutritional requirements of energy and protein in Brazilian Somali sheep. We used 48 sheep Brazilian Somali growing, non-castrated, age and body weight (BW) average of 60 days and 13.47 Â 1.76 kg respectively. After a 20 day adaptation period, eight animals were slaughtered and used as a reference for estimates of empty body weight (EBW) and initial body composition of other animals. The remaining animals were distributed in a randomized block design, with the treatments, diets with different levels of metabolizable energy (1.18; 2.07; 2.25; 2.42 and 2.69 Mcal/kg DM), with eight repetitions. The weight of slaughter animals was determined when the weight average of the five treatments was 28 kg. The net energy requirement for maintenance was estimated extrapolating the logarithmic regression equation of heat production, depending on the metabolizable energy intake (MEI) to the zero level of MEI. The daily excretion of nitrogen (N) was estimated by extrapolating to N consumption regression equation (g/BW0.75 kg/day) as a function of the N retention (g/BW 0.75 kg/day) for consumption zero. They were adjusted regression of log equations fat content, protein and energy in the logarithm of EBW animals. The concentration of net energy for maintenance diet was obtained by dividing the heat production in fasting, the DMI to maintain energy balance in g DM/kg EBW0.75. The validation of the SRNS model was performed using the simple linear regression model fit between the predicted values (independent variable) and observed (dependent variable), variables were analyzed DMI and BWG. The body composition was determined using the composition of the right half carcass, as well as a sample of the section HH, obtained from the left crankcase half. In middle housing cooled left, retreated cutting the section HH, the cross section of the 9th-10th-11th rib at the point corresponding to 61.5% of the distance between the sectioned vertebrae and the beginning of the 12th rib cartilage in then, the HH section was ground in grinder industrial and homogenised meat. The average daily gain and empty body weight gain increased linearly with increasing metabolizable energy levels. But the final body weight, body weight at slaughter, empty body weight, dry matter intake and metabolizable energy intake showed a quadratic effect (P<0.001) with increasing energy level. Energy and fat EBW of the animals increased from 2.77 Mcal/kg to 209.17 g/kg to 3.47 Mcal/kg to 294.08 g/kg EBW, respectively, and increased the BW 13.00 to 28.70 kg. Consumption of nitrogen showed quadratic effect with point of maximum of 2.59 Mcal/kg DM of metabolizable energy, corresponding to the maximum consumption of N of 2.90 g/kg BW0.75/day. As for the nitrogen retained daily, there was a positive linear correlation with the increase in metabolizable energy levels in the diets. There was a decreased amount of protein in the empty body of animals with increased EBW, from 143.71 to 122.52 g/kg EBW, when the animals increased the body weight of 13.00 to 28.70 kg. The daily excretion of N was estimated at 0.128 g/BW0.75 kg/day. The body composition of Brazilian Somali sheep ranges from 538.28 to 593.93 g/kg EBW for water, from 228.17 to 353.13 g/kg EBW for fat, 114.53 to 157.93 g/kg EBW for protein and from 17.94 to 31.68 g/kg of EBW of mineral matter, for diets containing 1.18 to 2.69 Mcal/kg DM, respectively. The net energy requirement for maintenance is 45.63 g/kg EBW0.75/day. The increase in animal weight of 13.00 to 28.70 kg BW increases the deposition of fat from 283.75 to 398.93 g/kg EBW and energy of 3.42 to 4.30 Mcal/kg EBW. The protein requirement for maintenance is 0.80 g/BW0.75 kg/day, with a decreased protein requirement for EBW of 119.72 to 102.07 g/kg EBW, as the weight increases by 13.00 to 28.70 kg. The use efficiency of metabolizable energy for maintenance is 0.67. Already use efficiency of metabolizable energy for gain varies from 1.85 to 0.43 for diets containing 1.18 to 2.69 Mcal/kg DM, respectively. The net requirements of energy and protein increase with increasing body weight and increase in body weight gain of Brazilian Somali sheep. The model Small Ruminant Nutrition Systems is sensitive to predict dry matter intake, however, underestimated in 5.18% the average daily weight gain. The section HH satisfactorily estimated the chemical composition of water, protein and fat in the carcass and empty body, while the mineral content was underestimated around 27.07% 14.91% housing and empty body. The water content, crude protein and carcass fat can be predicted by section HH. Finally, the chemical composition of section HH can be used to replace the chemical composition of the carcass to predict chemical composition of empty body in Brazilian Somalis sheep.
Fuxelius, Hans-Henrik. "Methods and Applications in Comparative Bacterial Genomics." Doctoral thesis, Uppsala universitet, Molekylär evolution, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8398.
Full textZeitler, Berndt. "A comparative study of source substitution methods." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=974828165.
Full textHawley, Kevin J. "A comparative analysis of areal interpolation methods." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1139949635.
Full textBooks on the topic "Comparative methody"
Klump, G. M., R. J. Dooling, R. R. Fay, and W. C. Stebbins, eds. Methods in Comparative Psychoacoustics. Basel: Birkhäuser Basel, 1995. http://dx.doi.org/10.1007/978-3-0348-7463-2.
Full textComparative politics: Theory and methods. New York: New York University Press, 1998.
Find full textWalker, Simon. Comparative underground coal mining methods. Londpn: IEA Coal Research, 1996.
Find full textHendry, G. A. F., and J. P. Grime, eds. Methods in Comparative Plant Ecology. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1494-3.
Full textJohnson, Timothy P., Beth-Ellen Pennell, Ineke A. L. Stoop, and Brita Dorer, eds. Advances in Comparative Survey Methods. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781118884997.
Full textComparative politics: Theory and methods. Houndmills, Basingstoke, Hampshire: Macmillan Press, 1998.
Find full textBerg-Schlosser, Dirk. Mixed Methods in Comparative Politics. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137283375.
Full textZepetnek, Steven Tötösy de. Comparative literature: Theory, method, application. Amsterdam: Rodopi, 1998.
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Hague, Rod, and Martin Harrop. "Comparative methods." In Comparative Government and Politics, 361–74. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-1-137-31786-5_19.
Full textHopkin, Jonathan. "Comparative Methods." In Theory and Methods in Political Science, 249–67. London: Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-0-230-62889-2_13.
Full textBurnham, Peter, Karin Gilland Lutz, Wyn Grant, and Zig Layton-Henry. "Comparative Methods." In Research Methods in Politics, 69–95. London: Macmillan Education UK, 2008. http://dx.doi.org/10.1007/978-0-230-36556-8_4.
Full textThomas, Derek. "Comparative Structural Methods." In Masters of the Structural Aesthetic, 109–21. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5445-7_4.
Full textGoddard, Ives. "Sapir's Comparative Method." In Studies in the History of the Language Sciences, 191. Amsterdam: John Benjamins Publishing Company, 1986. http://dx.doi.org/10.1075/sihols.41.09god.
Full textMoses, Jonathon W., and Torbjørn L. Knutsen. "The Comparative Method." In Ways of Knowing, 94–115. London: Macmillan Education UK, 2007. http://dx.doi.org/10.1007/978-1-137-15997-7_5.
Full textMarsh, David, and Matt Ryan. "The Comparative Method." In Theory and Methods in Political Science, 271–89. London: Macmillan Education UK, 2017. http://dx.doi.org/10.1057/978-1-137-60353-1_16.
Full textRankin, Robert L. "The Comparative Method." In The Encyclopedic Dictionary of Applied Linguistics: A Handbook for Language Teaching, 181–212. Oxford, UK: Blackwell Publishing Ltd, 2017. http://dx.doi.org/10.1002/9781405166201.ch1.
Full textRoscoe, Paul. "The Comparative Method." In The Blackwell Companion to the Study of Religion, 25–46. Oxford, UK: Blackwell Publishing Ltd, 2017. http://dx.doi.org/10.1002/9781405168748.ch2.
Full textHopkin, Jonathan. "The Comparative Method." In Theory and Methods in Political Science, 285–307. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-0-230-36664-0_15.
Full textConference papers on the topic "Comparative methody"
Kitapci, Hasan, and Barry Boehm. "Using a Hybrid Method for Formalizing Informal Stakeholder Requirements Inputs." In Fourth International Workshop on Comparative Evaluation in Requirements Engineering. IEEE, 2006. http://dx.doi.org/10.1109/cere.2006.8.
Full textM. Ali, Ahmed, and Dirk Söffker. "Realtime Application of Progressive Optimal Search and Adaptive Dynamic Programming in Multi-Source HEVs." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5081.
Full textMammeri, Amrid, Farid Bakir, Smaine Kouidri, Lionel Coutancier, and Jean-Christophe Bonnin. "Enhancing Heat Transfer in a Cold Plate, Inserts vs. Nanofluids: Application to IT Servers." In ASME 2013 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ipack2013-73132.
Full textChavan, Neeraj, Fabio Di Troia, and Mark Stamp. "A Comparative Analysis of Android Malware." In 3rd International Workshop on FORmal methods for Security Engineering. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007701506640673.
Full textHarimurugan, D., and Gururaj S. Punekar. "A comparative study of field computation methods: Charge simulation method and method of moments." In 2018 International Conference on Power, Signals, Control and Computation (EPSCICON). IEEE, 2018. http://dx.doi.org/10.1109/epscicon.2018.8379586.
Full textReaves, Kristopher, Raresh Pascali, and David Rypien. "Analysis of Thermal Residual Stress on Large Thickness Polypropylene Joints as in a Reel-Lay System." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54777.
Full textProgulova, Tatiana, Bahruz Gadjiev, Ali Mohammad-Djafari, Jean-François Bercher, and Pierre Bessiére. "Comparative analysis of collaboration networks." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2011. http://dx.doi.org/10.1063/1.3573646.
Full textLuzhansky, Edward, Fow-Sen Choa, Scott Merritt, Anthony Yu, and Michael Krainak. "Comparative Analysis of QCL MWIR and SWIR Communication with PPM Signals." In Adaptive Optics: Analysis, Methods & Systems. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/aoms.2015.jt5a.7.
Full textF. Al-subaie, Huzam S., and Tom S. E. Maibaum. "Evaluating the Effectiveness of a Goal-Oriented Requirements Engineering Method." In Fourth International Workshop on Comparative Evaluation in Requirements Engineering (CERE'06 - RE'06 Workshop). IEEE, 2006. http://dx.doi.org/10.1109/cere.2006.3.
Full textAlspaugh, Thomas A., Eric Baumer, and Bill Tomlinson. "On a Mixed-Methods Evaluation of a Social-Agent Scenario Visualization." In Fourth International Workshop on Comparative Evaluation in Requirements Engineering (CERE'06 - RE'06 Workshop). IEEE, 2006. http://dx.doi.org/10.1109/cere.2006.7.
Full textReports on the topic "Comparative methody"
Wong, John, Elizabeth DeLong, and Thomas Trikalinos. Integrating Analytical Methods to Improve Comparative Effectiveness Research. Patient-Centered Outcomes Research Institute® (PCORI), September 2019. http://dx.doi.org/10.25302/9.2019.me.13035894.
Full textWhite, M. D., B. P. McGrail, and S. K. Wurstner. Comparative Assessment of Advanced Gas Hydrate Production Methods. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/973071.
Full textWood, David P., and William G. Wood. Comparative Evaluations of Four Specification Methods for Real-Time Systems. Fort Belvoir, VA: Defense Technical Information Center, December 1989. http://dx.doi.org/10.21236/ada219187.
Full textPorter, R. D., D. M. Hamby, and J. E. Martin. Treatment methods and comparative risks of thorium removal from waste residues. Office of Scientific and Technical Information (OSTI), July 1997. http://dx.doi.org/10.2172/290911.
Full textDong, Cheryl. A comparative study of three language sampling methods using developmental sentence scoring. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5473.
Full textSchneeweiss, Sebastian, Richard Wyss, Mark van der Laan, Samuel Lendle, Cheng Ju, and Jessica Franklin. Methods for Improving Confounding Control in Comparative Effectiveness Research Using Electronic Healthcare Databases. Patient-Centered Outcomes Research Institute® (PCORI), August 2019. http://dx.doi.org/10.25302/7.2019.me.13035638.
Full textLee, Yuh-Jeng, and Valdis Berzins. Systematic Development of Hard Real-Time Software: A Comparative Study of Three Methods. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada252784.
Full textGregurick, S. K. AB Initio Protein Tertiary Structure Prediction: Comparative-Genetic Algorithm with Graph Theoretical Methods. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/834523.
Full textCollin, R. E. Comparative Evaluation of Kirchhoff, Perturbation, and Full Wave Methods for Rough Surface Scattering. Fort Belvoir, VA: Defense Technical Information Center, August 1993. http://dx.doi.org/10.21236/ada271198.
Full textLandsittel, Douglas, (Joyce) Chung-Chou Chang, and Sally Morton. Guidance for Researchers on Optimal Methods for Conducting Comparative Effectiveness Research With Observational Data. Patient-Centered Outcomes Research Institute® (PCORI), December 2019. http://dx.doi.org/10.25302/11.2019.me.130603827.
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