http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Developing the Symptoms and Functional Impairment Rating Scale: A Multi-Dimensional ADHD Scale
Yasong Du,Mengyao Li,Wenqing Jiang,Yan Li,David. R. Coghill 대한신경정신의학회 2018 PSYCHIATRY INVESTIGATION Vol.15 No.1
ObjectiveaaThis research developed a practical, multi-dimensional attention deficit hyperactivity disorder (ADHD) rating scale (i.e., the Symptoms and Functional Impairment Rating Scale, SFIRS) for Chinese children, aged 6–12 years, with ADHD. MethodsaaThe structural validity, criterion validity, internal consistency, and test-retest reliability of the scale were evaluated. Item screening was conducted with 412 ADHD patients and 322 developmentally typical controls. ResultsaaThe scale includes 44 items, divided among Hyperactivity-Impulsivity, Self-Control, Inattention, Self-Management, Academic Performance, and Social Interaction. The six-factor model showed good data fit, with each factor significantly correlated with its corresponding criterion (r=0.690–0.841). The Cronbach’s α of the full scale was 0.976. Total score test-retest reliability was r=0.816 (p<0.01). ConclusionaaThe SFIRS thus demonstrated good reliability and validity and may be used to assess ADHD among children aged 6–12 years in China.
Chen, J.F.,Xiong, Y.Z.,Zuo, B.,Zheng, R.,Li, F.E.,Lei, M.G.,Li, J.L.,Deng, C.Y.,Jiang, S.W. Asian Australasian Association of Animal Productio 2005 Animal Bioscience Vol.18 No.11
The Melanocortin-4 Receptor (MC4R) and Insulin-like Growth Factor 2 (IGF2) are two important candidate genes related to fat deposition and carcass traits. MC4R was found on study on human obesity and then was studied as candidate gene affecting food intake and fat deposition traits in mice and pigs. Insulin-like Growth Factor 2 (IGF2) gene plays an important role on tumor cell proliferation and muscle growth. It also affects fat traits and live weight in pigs. In this paper, MC4R and IGF2 were studied as two candidate genes associated with important economic traits such as fat deposition and carcass traits in five different pig populations. Taq I-PCR-RFLP and Bcn I-PCR-RFLP were respectively used to detect the polymorphism of genotypes of MC4R and IGF2 genes. Different MC4R genotype frequencies were observed in four populations. IGF2 genotype frequencies were also different in two populations. The results of association analysis show both MC4R and IGF2 genes were significantly associated with fat deposition and carcass traits in about 300 pigs. This work will add new evidence of MC4R and IGF2 affecting fat deposition and carcass traits in pigs and show that two genes can be used as important candidate genes for marker assistant selection (MAS) of growth and lean meat percentage in pigs.
Three Pairs of Protease-Serpin Complexes Cooperatively Regulate the Insect Innate Immune Responses
Jiang, R.,Kim, E.-H.,Gong, J.-H.,Kwon, H.-M.,Kim, C.-H.,Ryu, K.-H.,Park, J.-W.,Kurokawa, K.,Zhang, J.,Gubb, D. The American Society for Biochemistry and Molecula 2009 The Journal of biological chemistry Vol.284 No.51
Jiang, Y-L,Li, N,Fan, X-Z,Xiao, L-R,Xiang, R-L,Hu, X-X,Du, L-X,Wu, C-X Asian Australasian Association of Animal Productio 2002 Animal Bioscience Vol.15 No.11
A T$\longrightarrow$A mutation in the promoter region of porcine myostatin (MSTN) gene has been identified in our previous work. This study analyzed the associations of the myostatin genotypes (TT, TA) caused by this mutation with birth weigh in Yorkshire pigs. Data from 211 unrelated individuals were collected three times from one breeding farm. Detections of the mutation were carried out by PCR-RFLPs approach. The effects of MSTN genotypes (TT and TA) on birth weight were compared by least square means. The results showed that for birth weight of Yorkshire pigs, individuals with TA genotype were significantly higher than those with TT genotype (p<0.05), and the birth weight for pigs with TA genotype were 1.37 kg in average but only 1.25 kg for pigs with TT genotype, indicating a positive effect of birth weight for A allele.
R. P. Jiang,X. Q. Li,M. Zhang 대한금속·재료학회 2015 METALS AND MATERIALS International Vol.21 No.1
The effect of ultrasound, chilled radiating face and dissolved Ti on the grain refinement of 7085 Al alloyswas investigated in this paper. It was found that small equiaxed grains occurred below the chilled radiatingface, and the coarse dendrites formed below the preheated radiating face. However, the dissolved Ti from theeroding radiator cannot generate grain refinement under ultrasonic vibration, which is different from the previouslyreported result that Ti is a powerful grain refiner. Significant grain refinement can be induced when the ultrasoundwas introduced through a preheated radiator between 650 °C and 620 °C. The grain refinement, involvedin the 7085 Al alloys under ultrasonic vibration, is mainly attributed to the heterogeneous nucleation and acousticstreaming.
Predicting distribution of time to degradation limit using a weighted approach
R. Jiang,C. Huang 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.11
One of the key elements in condition-based maintenance is to predict the distribution of time to a pre-specified degradation limit based on the observed degradation paths. The prediction accuracy strongly depends on the method to fit the observed degradation paths to a mean degradation model. Since the recent observations contain more information about the future degradation trend than the earlier observations, a weight function can be used to represent the importance of an observation. As such, the prediction accuracy can be improved through using a weighted parameter estimation method. A key issue with the weighted method is to appropriately specify the form of the weight function and its parameters. This paper aims to address this issue. We adopt the Gaussian kernel function with parameters mu and sigma as the weight function. The mu is set at the last observation time and the value of sigma is optimally determined using a cross-validation approach. The appropriateness and usefulness of the proposed approach are illustrated by a real-world example.
Three extended geometric process models for modeling reliability deterioration and improvement
R. Jiang 한국신뢰성학회 2011 International Journal of Reliability and Applicati Vol.12 No.1
The geometric process (GP) has been widely used for modeling failure and repair time sequences of repairable systems. The GP is mathematically tractable but restrictive in reliability applications since it actually assumes that the mean function of inter-failure times sequence asymptotically decreases to zero; and the mean function of successive repair times sequence asymptotically increases to infinity. This is generally unrealistic from an engineering perspective. This paper presents three extended GP models for modeling reliability deterioration and improvement (or growth) process. The extensions maintain the advantage of mathematical tractability of GP model. Their usefulness and appropriateness are illustrated with three real-world examples.
Failure patterns of repairable systems and a flexible intensity function model
Jiang, R.,Huang, C. The Korean Reliability Society 2012 International Journal of Reliability and Applicati Vol.13 No.2
Engineering systems are usually repairable. The reliability of a repairable system can be represented by failure intensity function. A type of shape of failure intensity function is called a failure pattern. Reliability-Centred Maintenance (RCM) presents six typical failure patterns but its definition is unclear. It is an open issue how to recognize the failure pattern of repairable systems. This paper first discusses the problems of RCM with the notion of failure pattern; then presents the method for failure pattern recognition; and finally proposes a flexible failure intensity function model. The appropriateness of the model is illustrated by a real-world example.
Three extended geometric process models for modeling reliability deterioration and improvement
Jiang, R. The Korean Reliability Society 2011 International Journal of Reliability and Applicati Vol.12 No.1
The geometric process (GP) has been widely used for modeling failure and repair time sequences of repairable systems. The GP is mathematically tractable but restrictive in reliability applications since it actually assumes that the mean function of inter-failure times sequence asymptotically decreases to zero; and the mean function of successive repair times sequence asymptotically increases to infinity. This is generally unrealistic from an engineering perspective. This paper presents three extended GP models for modeling reliability deterioration and improvement (or growth) process. The extensions maintain the advantage of mathematical tractability of GP model. Their usefulness and appropriateness are illustrated with three real-world examples.