http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Thanh, T.D.,Nan, W.Z.,Nam, G.,Van, H.T.,You, T.S.,Phan, T.L.,Yu, S.C. Elsevier 2015 Current Applied Physics Vol.15 No.10
A systematic study of the conventional and inverse magnetocaloric effects, and critical behaviors in an alloy ingot of Ni<SUB>43</SUB>Mn<SUB>46</SUB>Sn<SUB>8</SUB>In<SUB>3</SUB> has been performed. Our results reveal the sample exhibiting structural and magnetic phase transitions at temperatures T<SUB>C</SUB><SUP>M</SUP> = 166 K (T<SUB>C</SUB> of the martensitic phase), T<SUB>M-A</SUB> = 260 K (the martensitic-to-austenitic phase transformation) and T<SUB>C</SUB><SUP>A</SUP> = 296 K (T<SUB>C</SUB> of the austenitic phase). The large values of refrigerant capacity (RC) around T<SUB>M-A</SUB> and T<SUB>C</SUB><SUP>A</SUP> are found to be RC<SUB>M-A</SUB> = 172.6 and RC<SUB>A</SUB> = 155.9 J kg<SUP>-1</SUP>, respectively, under an applied field change of 30 kOe. Our critical analyses near the T<SUB>C</SUB><SUP>M</SUP> and T<SUB>C</SUB><SUP>A</SUP> reveal that a coexistence of the long- and short-range ferromagnetic order in the martensitic phase, while the long-range ferromagnetic order exists in the austenitic phase. Interestingly, at around T<SUB>C</SUB><SUP>A</SUP>, the maximum magnetic entropy change (|ΔS<SUB>max</SUB>|) versus magnetic field H obeys a power law, |ΔS<SUB>max</SUB>| = a.H<SUP>n</SUP>, where the exponent n is found to be about 0.66.
Tran Dang Thanh,Nan, W. Z.,Jeon, B. Y.,Yu, T. S.,Jong Suk Lee,Hoang Nam Nhat,Seong Cho Yu IEEE 2016 IEEE magnetics letters Vol.7 No.-
<P>A polycrystalline alloy ingot of La<SUB>0.6</SUB>Ce<SUB>0.4</SUB>Fe<SUB>11.5</SUB>Si<SUB>1.5</SUB> was prepared by an arc-melting method. Magnetic measurements of magnetization M as a function of field H and temperature T show a ferromagnetic-paramagnetic phase transition at a Curie temperature TC = 170 K. Interestingly, curves of H/M versus M<SUP>2</SUP> have a positive slope at low field (H ≤ 10 kOe), which corresponds to a second-order phase transition (SOPT), but a negative slope at high field (H > 10 kOe), which corresponds to a first-order phase transition (FOPT). The magnetic entropy change ΔS<SUB>m</SUB>(T) under different ranges of field change ΔH, calculated from M(H) isotherms, has a maximum IΔS<SUB>max</SUB>I around TC that increases in magnitude with increasing ΔH. Refrigerant capacity (RC), indicative of magnetic cooling efficiency, also increases with increasing ΔH. Curves of ΔS<SUB>m</SUB>(T)/ΔS<SUB>max</SUB> versus θ = (T - TC)/(Tr - TC), where Tr is the reference temperature, collapse into a universal curve when ΔH ≤ 10 kOe. In contrast, curves of ΔS<SUB>m</SUB>(T)/ΔS<SUB>max</SUB> versus θ do not reduce to a universal curve when ΔH > 10 kOe. These suggest a coexistence of FOPT and SOPT properties in the alloy.</P>
Individual-breed Assignment Analysis in Swine Populations by Using Microsatellite Markers
Fan, B.,Chen, Y.Z.,Moran, C.,Zhao, S.H,Liu, B.,Yu, M.,Zhu, M.J.,Xiong, T.A.,Li, K. Asian Australasian Association of Animal Productio 2005 Animal Bioscience Vol.18 No.11
Individual-breed assignments were implemented in six swine populations using twenty six microsatellites recommended by the Food and Agriculture Organization and the International Society for Animal Genetics (FAO-ISAG). Most microsatellites exhibited high polymorphisms as shown by the number of alleles and the polymorphism information content. The assignment accuracy per locus obtained by using the Bayesian method ranged from 33.33% (CGA) to 68.47% (S0068), and the accumulated assignment accuracy of the top ten loci combination added up to 96.40%. The assignment power of microsatellites based on the Bayesian method had positive correlations with the number of alleles and the gene differential coefficient ($G_{st}$) per locus, while it has no relationship to genetic heterozygosity, polymorphism information content per locus and the exclusion probabilities under case II and case III. The percentage of corrected assignment was highest for the Bayesian method, followed by the gene frequency and distancebased methods. The assignment efficiency of microsatellites rose with increase in the number of loci used, and it can reach 98% when using a ten-locus combination. This indicated that such a set of ten microsatellites is sufficient for breed verification purposes.
Design of the Advanced Metadata Service System with AMGA for the Belle II Experiment
S. Ahn,K. Cho,S. Hwang,J. Kim,H. Jang,B. K. Kim,H. Yoon,J. Yu,Z. Drasal,T. Hara,Y. Iida,R. Itoh,G. Iwai,N. Katayama,Y. Kawai,S. Nishida,T. Sasaki,Y. Watase,R. Fruhwirth,W. Mitaroff,R. Grzymkowski,M. S 한국물리학회 2010 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.57 No.4
The Belle II experiment is expected to produce 50 times more data than the existing Belle experiment. Such huge data production requires not only scalability with respect to the storage service but also scalability regarding the metadata service. There has already been a metadata service at the Belle experiment, but it is not proper for the Belle II experiment because it has scalability problems and it is not intended to be used in a distributed grid environment. To deal with these issues, we designed an advanced metadata service system based on AMGA, which provides efficient and scalable metadata searching. We have built testbed sites to test the correctness, performance and scalability of the advanced metadata service system, and it has been proved to be able to provide efficient metadata searching for the Belle II experiment.
The Embedment of a Metadata System at Grid Farms at the Belle II Experiment
S. Ahn,J. H. Kim,T. Huh,S. Hwang,조기현,H. Jang,B. K. Kim,H. Yoon,J. Yu,Z. Drasal,T. Hara,Y. Iida,R. Itoh,G. Iwai,N. Katayama,Y. Kawai,S. Nishida,T. Sasaki,Y. Watase,T. Uglov,R. Fruhwirth 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.4
In order to search for new physics beyond the standard model, the next generation of B-factory experiment, Belle II will collect a huge data sample that is a challenge for computing systems. The Belle II experiment, which should commence data collection in 2015, expects data rates 50 times greater than that of Belle. In order to handle this amount of data, we need a new data handling system based on a new computing model, which is a distributed computing model including grid farms as opposed to the central computing model using clusters at the Belle experiment. We have constructed a metadata system and embedded the system in the grid farms of the Belle II experiment. We have tested the system using grid farms. Results show good performance in handling such a huge amount of data.