Public vehicle seats are used under diverse conditions, therefore, the design of these seats is desired to be universal design. In the past study, seat swing function used in public vehicle seats, and it was optimized...Public vehicle seats are used under diverse conditions, therefore, the design of these seats is desired to be universal design. In the past study, seat swing function used in public vehicle seats, and it was optimized from the mechanical aspect under diverse conditions. Seat swing function is the function to prevent hip-sliding force, which causes sitting uncomfortable feeling. Recent study clarified that the reduction of blood flow in the legs causes physiological dysfunction, which is one of the causes of Long Flight Thrombosis, and the social issue. Thus, in the design of seat swing function, it is necessary to consider not only mechanical aspects but also physiological aspects. For the universal design of seat swing function considering the physiological aspect （blood flow）, the influence of blood flow on seat swing function in diverse conditions was analyzed. The method of this study was measuring blood flow and body pressure distribution on seat cushion of seat swing function under diverse conditions. From the analysis, it was indicated that it was necessary to reduce the compressive force behind the knees of the user conditions; the short physique and the high weight physique in standard sitting posture, for the universal design of seat swing function to prevent reduction of blood flow in the legs.展开更多
The phenotypic traits of high prolificacy, low fat on the rib eye muscle and high tolerance to internal parasites make the Barbados Blackbelly （BBB） sheep a valuable economic resource for small subsistence farmers o...The phenotypic traits of high prolificacy, low fat on the rib eye muscle and high tolerance to internal parasites make the Barbados Blackbelly （BBB） sheep a valuable economic resource for small subsistence farmers on some Caribbean islands. However, the determination of what is a purebred BBB sheep has long been a contentious issue because of the subjectivity. It is therefore necessary to have a more reliable means of identifying what is a purebred BBB sheep for purposes of conservation and breed improvement. Three geographically isolated populations of BBB sheep were genetically analysed at 19 microsatellite loci. Eighteen of the microsatellites were found to be useful for genetic analysis of the BBB sheep, based on polymorphic information content （PIC） values （0.5 〈 PIC 〉 0.25）. One microsatellite was not useful for genetic analysis based on PIC （0.111）, however it is considered to be a locus of interest because it is fully inbred （f = 1） and homozygous in all of the populations analysed. The analysis also showed that the purebred population of BBB sheep can be distinguished from other populations by formation of distinct clusters when subjected to analysis of molecular variance （AMOVA） and the construction of a rooted consensus tree using the Neighbour-Joining method and pair-wise distances based on marker estimated kinships.展开更多
To clarify the effect of exposure to methane fermentation on the survival of seeds of Rumexobtusifolius L. contained in dairy slurry, the percentage of seed germination was observed after the mesophilic （35 ℃） and ...To clarify the effect of exposure to methane fermentation on the survival of seeds of Rumexobtusifolius L. contained in dairy slurry, the percentage of seed germination was observed after the mesophilic （35 ℃） and thermophilic （55 ℃） methane fermentation. The number of survival seed was 0% at 55 ℃, 81.6% at 35 ℃ from methane fermentation, and 0% at 55℃, 75.5% at 35 ℃ after heat treatment. The survival rate of the seeds in methane fermentation was similar to heat treatment at 35 ℃. However, in the investigation of seed status, the number of primary and secondary dormant seeds was higher than after heat treatment. This result suggests that since Rumexobtusifolius L. seeds survive in dormant state in mesophilic methane fermentation, the usage of manure as fertilizer need to be considered.展开更多
Recent advances in molecular genetics techniques have made dense marker maps available, and the prediction of breeding value at the genome level has been employed in genetics research. However, an increasingly large n...Recent advances in molecular genetics techniques have made dense marker maps available, and the prediction of breeding value at the genome level has been employed in genetics research. However, an increasingly large number of markers raise both statistical and computational issues in genomic selection （GS）, and many methods have been developed for genomic prediction to address these problems, including ridge regression-best linear unbiased prediction （RR-BLUP）, genomic best linear unbiased prediction, BayesA, BayesB, BayesCπ, and Bayesian LASSO. In this paper, these methods were compared regarding inference under different conditions, using real data from a wheat data set and simulated scenarios with a small number of quantitative trait loci （QTL） （20）, a moderate number of QTL （60, 180） and an extreme number of QTL （540）. This study showed that the genetic architecture of a trait should be fully considered when a GS method is chosen. If a small amount of loci had a large effect on a trait, great differences were found between the predictive ability of various methods and BayesCπ was recommended. Although there was almost no significant difference between the predictive ability of BayesCπ andBayesB, BayesCπ is more feasible than BayesB for real data analysis. If a trait was controlled by a moderate number of genes, the absolute differences between the various methods were small, but BayesA was also found to be the most accurate method. Furthermore, BayesA was widely adaptable and could perform well with different numbers of QTL. If a trait was controlled by an extreme number of minor genes, almost no significant differences were detected between the predictive ability of various methods, but RR-BLUP slightly outperformed the others in both simulated scenarios and real data analysis, thus demonstrating its robustness and indicating that it was quite effective in this case.展开更多
文摘Public vehicle seats are used under diverse conditions, therefore, the design of these seats is desired to be universal design. In the past study, seat swing function used in public vehicle seats, and it was optimized from the mechanical aspect under diverse conditions. Seat swing function is the function to prevent hip-sliding force, which causes sitting uncomfortable feeling. Recent study clarified that the reduction of blood flow in the legs causes physiological dysfunction, which is one of the causes of Long Flight Thrombosis, and the social issue. Thus, in the design of seat swing function, it is necessary to consider not only mechanical aspects but also physiological aspects. For the universal design of seat swing function considering the physiological aspect （blood flow）, the influence of blood flow on seat swing function in diverse conditions was analyzed. The method of this study was measuring blood flow and body pressure distribution on seat cushion of seat swing function under diverse conditions. From the analysis, it was indicated that it was necessary to reduce the compressive force behind the knees of the user conditions; the short physique and the high weight physique in standard sitting posture, for the universal design of seat swing function to prevent reduction of blood flow in the legs.
文摘The phenotypic traits of high prolificacy, low fat on the rib eye muscle and high tolerance to internal parasites make the Barbados Blackbelly （BBB） sheep a valuable economic resource for small subsistence farmers on some Caribbean islands. However, the determination of what is a purebred BBB sheep has long been a contentious issue because of the subjectivity. It is therefore necessary to have a more reliable means of identifying what is a purebred BBB sheep for purposes of conservation and breed improvement. Three geographically isolated populations of BBB sheep were genetically analysed at 19 microsatellite loci. Eighteen of the microsatellites were found to be useful for genetic analysis of the BBB sheep, based on polymorphic information content （PIC） values （0.5 〈 PIC 〉 0.25）. One microsatellite was not useful for genetic analysis based on PIC （0.111）, however it is considered to be a locus of interest because it is fully inbred （f = 1） and homozygous in all of the populations analysed. The analysis also showed that the purebred population of BBB sheep can be distinguished from other populations by formation of distinct clusters when subjected to analysis of molecular variance （AMOVA） and the construction of a rooted consensus tree using the Neighbour-Joining method and pair-wise distances based on marker estimated kinships.
文摘To clarify the effect of exposure to methane fermentation on the survival of seeds of Rumexobtusifolius L. contained in dairy slurry, the percentage of seed germination was observed after the mesophilic （35 ℃） and thermophilic （55 ℃） methane fermentation. The number of survival seed was 0% at 55 ℃, 81.6% at 35 ℃ from methane fermentation, and 0% at 55℃, 75.5% at 35 ℃ after heat treatment. The survival rate of the seeds in methane fermentation was similar to heat treatment at 35 ℃. However, in the investigation of seed status, the number of primary and secondary dormant seeds was higher than after heat treatment. This result suggests that since Rumexobtusifolius L. seeds survive in dormant state in mesophilic methane fermentation, the usage of manure as fertilizer need to be considered.
基金supported by the National Basic Research Program of China(2011CB100100)the Priority Academic Program Development of Jiangsu Higher Education Institutions+4 种基金the National Natural Science Foundations(31391632,31200943,and31171187)the National High-tech R&D Program(863 Program)(2014AA10A601-5)the Natural Science Foundations of Jiangsu Province(BK2012261)the Natural Science Foundation of the Jiangsu Higher Education Institutions(14KJA210005)the Innovative Research Team of Universities in Jiangsu Province
文摘Recent advances in molecular genetics techniques have made dense marker maps available, and the prediction of breeding value at the genome level has been employed in genetics research. However, an increasingly large number of markers raise both statistical and computational issues in genomic selection （GS）, and many methods have been developed for genomic prediction to address these problems, including ridge regression-best linear unbiased prediction （RR-BLUP）, genomic best linear unbiased prediction, BayesA, BayesB, BayesCπ, and Bayesian LASSO. In this paper, these methods were compared regarding inference under different conditions, using real data from a wheat data set and simulated scenarios with a small number of quantitative trait loci （QTL） （20）, a moderate number of QTL （60, 180） and an extreme number of QTL （540）. This study showed that the genetic architecture of a trait should be fully considered when a GS method is chosen. If a small amount of loci had a large effect on a trait, great differences were found between the predictive ability of various methods and BayesCπ was recommended. Although there was almost no significant difference between the predictive ability of BayesCπ andBayesB, BayesCπ is more feasible than BayesB for real data analysis. If a trait was controlled by a moderate number of genes, the absolute differences between the various methods were small, but BayesA was also found to be the most accurate method. Furthermore, BayesA was widely adaptable and could perform well with different numbers of QTL. If a trait was controlled by an extreme number of minor genes, almost no significant differences were detected between the predictive ability of various methods, but RR-BLUP slightly outperformed the others in both simulated scenarios and real data analysis, thus demonstrating its robustness and indicating that it was quite effective in this case.
