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      • KCI등재

        Supplementation of guanidinoacetic acid and rumen-protected methionine increased growth performance and meat quality of Tan lambs

        Zhang Jian Hao,Li Hai Hai,Zhang Gui Jie,Zhang Ying Hui,Liu Bo,Huang Shuai,Guyader Jessie,Zhong Rong Zhen 아세아·태평양축산학회 2022 Animal Bioscience Vol.35 No.10

        Objective: Tan lambs (n = 36, 3 mo old, 19.1±0.53 kg) were used to assess effects of dietary guanidinoacetic acid (GAA) and rumen-protected methionine (RPM) on growth performance, carcass traits, meat quality, and serum parameters. Methods: Lambs were randomly assigned to three treatment groups, with 6 pens per group and 2 lambs per pen. Dietary treatments were: basal diet alone (I); basal diet supplemented with 0.08% GAA+0.06% RPM (II); and basal diet supplemented with 0.08% GAA+0.08% RPM (III). Diets were provided three times a day for 90 d. Intake per pen was recorded daily and individual lamb body weight (BW) was measured monthly. Carcass traits were measured after slaughter and meat quality at the end of the experiment, blood samples were taken on a subgroup of lambs for analysis of indicators mostly related to protein metabolism. Results: Final BW and average daily gain for the first and second month, and for the entire experiment were greater in Treatment II compared to Treatment I (p<0.05), whereas feed to gain ratio was lower (p<0.05). Treatment II had the optimal dressing percentage and net meat weight proportion, as well as crude protein and intramuscular fat concentrations in muscles. Treatment II improved meat quality, as indicated by the greater water holding capacity, pH after 45 min and 48 h, and lower shear force and cooking loss. Dietary supplementation of GAA and RPM also increased the meat color a* and b* values at 24 h. Finally, Treatment II increased total protein, and serum concentrations of albumin and creatinine, but decreased serum urea nitrogen concentrations, indicating improved protein efficiency. Conclusion: In this study, 0.08% GAA+0.06% RPM supplementation improved growth performance and meat quality of Tan lambs. Objective: Tan lambs (n = 36, 3 mo old, 19.1±0.53 kg) were used to assess effects of dietary guanidinoacetic acid (GAA) and rumen-protected methionine (RPM) on growth performance, carcass traits, meat quality, and serum parameters.Methods: Lambs were randomly assigned to three treatment groups, with 6 pens per group and 2 lambs per pen. Dietary treatments were: basal diet alone (I); basal diet supplemented with 0.08% GAA+0.06% RPM (II); and basal diet supplemented with 0.08% GAA+0.08% RPM (III). Diets were provided three times a day for 90 d. Intake per pen was recorded daily and individual lamb body weight (BW) was measured monthly. Carcass traits were measured after slaughter and meat quality at the end of the experiment, blood samples were taken on a subgroup of lambs for analysis of indicators mostly related to protein metabolism.Results: Final BW and average daily gain for the first and second month, and for the entire experiment were greater in Treatment II compared to Treatment I (p<0.05), whereas feed to gain ratio was lower (p<0.05). Treatment II had the optimal dressing percentage and net meat weight proportion, as well as crude protein and intramuscular fat concentrations in muscles. Treatment II improved meat quality, as indicated by the greater water holding capacity, pH after 45 min and 48 h, and lower shear force and cooking loss. Dietary supplementation of GAA and RPM also increased the meat color a* and b* values at 24 h. Finally, Treatment II increased total protein, and serum concentrations of albumin and creatinine, but decreased serum urea nitrogen concentrations, indicating improved protein efficiency.Conclusion: In this study, 0.08% GAA+0.06% RPM supplementation improved growth performance and meat quality of Tan lambs.

      • KCI등재

        Mixed Culture of Probiotics on a Solid-state Medium: An Efficient Method to Produce an Affordable Probiotic Feed Additive

        Jie Zhong,Fan Zhang,Yongjia Peng,Zhixin Ji,Hongqiang Li,Shuncai Li,Xiangzhai Zhang,Qiumei Shi,Jin Zhang 한국생물공학회 2017 Biotechnology and Bioprocess Engineering Vol.22 No.6

        The overuse and abuse of antibiotics in animal husbandry is an ongoing problem. While probiotics could be an alternative, their effectiveness, stability and production cost are key factors that need to be addressed first. This study used a mixed culture of Bifidobacterium bifidum, Clostridium butyricum, Bacillus subtilis and Bacillus licheniformis on a simple and inexpensive solid-state medium generated by pouring a liquid MRS medium, which was designed to favor the dense growth of lactobacilli, onto wheat bran at a ratio of 1:2 by weight. Using this method, we achieved a very high number of live bacteria (NLB), at 3.93 × 1014 CFU/g, without the need for expensive anaerobic equipment. The mixed culture thus achieved striking results that were up to 10,000 times better than the pure culture and did not require special anaerobic equipment. A real-time PCR analysis demonstrated that the shares of the four strains in the mixed culture probiotics (MCPs) were 2, 17, 46, and 35%, respectively, which indicates that the fermentation product contained an uneven distribution of the four probiotic target bacteria. The MCPs possessed good storage stability at room temperature, and the NLB was greater than 106 CFU/g after 30 days at 25°C, which made it easier to transport and store. They also demonstrated good stability in artificial digestion fluids, with an NLB of over 1012 CFU/g after sequential treatments, which enabled them to maintain effectiveness in the animal gastrointestinal tract. Finally, the MCPs were fed to the mealworms (Tenebrio molitor) and raccoon dogs (Nyctereutes procyonoides) in order to test their effectiveness, and the growth rates of both significantly improved with the MCPs feeding. This study thus demonstrated that culturing MCPs on a solid-state medium is an efficient method to affordably produce probiotic feed additives that can improve the performance of very physiologically different animals, such as the mealworm and raccoon dog, which indicates their potential for very wide applicability.

      • KCI등재

        A prediction model of the sum of container based on combined BP neural network and SVM

        Min-jie Ding,Shao-zhong Zhang,Haidong Zhong,Yao-hui Wu,Liang-bin Zhang 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.2

        The prediction of the sum of container is very important in the field of container transport. Many influencingfactors can affect the prediction results. These factors are usually composed of many variables, whosecomposition is often very complex. In this paper, we use gray relational analysis to set up a proper forecastindex system for the prediction of the sum of containers in foreign trade. To address the issue of the lowaccuracy of the traditional prediction models and the problem of the difficulty of fully considering all the factorsand other issues, this paper puts forward a prediction model which is combined with a back-propagation (BP)neural networks and the support vector machine (SVM). First, it gives the prediction with the data normalizedby the BP neural network and generates a preliminary forecast data. Second, it employs SVM for the residualcorrection calculation for the results based on the preliminary data. The results of practical examples show thatthe overall relative error of the combined prediction model is no more than 1.5%, which is less than the relativeerror of the single prediction models. It is hoped that the research can provide a useful reference for theprediction of the sum of container and related studies.

      • SCOPUSKCI등재

        A Prediction Model of the Sum of Container Based on Combined BP Neural Network and SVM

        Ding, Min-jie,Zhang, Shao-zhong,Zhong, Hai-dong,Wu, Yao-hui,Zhang, Liang-bin Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.2

        The prediction of the sum of container is very important in the field of container transport. Many influencing factors can affect the prediction results. These factors are usually composed of many variables, whose composition is often very complex. In this paper, we use gray relational analysis to set up a proper forecast index system for the prediction of the sum of containers in foreign trade. To address the issue of the low accuracy of the traditional prediction models and the problem of the difficulty of fully considering all the factors and other issues, this paper puts forward a prediction model which is combined with a back-propagation (BP) neural networks and the support vector machine (SVM). First, it gives the prediction with the data normalized by the BP neural network and generates a preliminary forecast data. Second, it employs SVM for the residual correction calculation for the results based on the preliminary data. The results of practical examples show that the overall relative error of the combined prediction model is no more than 1.5%, which is less than the relative error of the single prediction models. It is hoped that the research can provide a useful reference for the prediction of the sum of container and related studies.

      • Mda-9/syntenin Promotes Human Brain Glioma Migration through Focal Adhesion Kinase (FAK)-JNK and FAK-AKT Signaling

        Zhong, Dong,Ran, Jian-Hua,Tang, Wen-Yuan,Zhang, Xiao-Dong,Tan, Yun,Chen, Gui-Jie,Li, Xiao-Song,Yan, Yi Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.6

        Invasion is usually recognized as the main reason for the high recurrence and death rates of glioma and restricts the efficacy of surgery and other therapies. Therefore, we aimed to investigate the mechanism involved in promotion effects of mda-9/syntenin on human glioma cell migration. The wound healing method was used to test the migration ability of human glioma cells CHG-5 and CHG-hS, stably overexpressing mda-9/syntenin. Western blotting was performed to determine the expression and phosphorylation of focal adhesion kinase (FAK) and JNK in CHG-5 and CHG-hS cells. The migration ability of CHG-hS cells was significantly higher than that of CHG-5 cells in fibronectin (FN)-coated culture plates. Phosphorylation of FAK on tyrosine 397, 576, and 925 sites was increased with time elapsed in CHG-hS cells. However, phosphorylated FAK on the tyrosine 861 site was not changed. Phosphorylated Src, JNK and Akt levels in CHG-hS cells were also significantly upregulated. Phosphorylation of JNK and Akt were abolished by the specific inhibitors SP600125 and LY294002, respectively, and the migration ability of CHG-hS cells was decreased, indicating that the JNK and PI3K/Akt pathways play important roles in regulating mda-9/syntenin-induced human brain glioma migration. Our results indicate Mda-9/syntenin overexpression could activate FAK-JNK and FAK-Akt signaling and then enhance the migration capacity of human brain glioma cells.

      • KCI등재

        Novel Phage Display-Derived H5N1-Specific scFvs with Potential Use in Rapid Avian Flu Diagnosis

        ( Jie Wu ),( Xian Qiao Zeng ),( Hong Bin Zhang ),( Han Zhong Ni ),( Lei Pei ),( Li Rong Zou ),( Li Jun Liang ),( Xin Zhang ),( Jin Yan Lin ),( Chang Wen Ke ) 한국미생물 · 생명공학회 2014 Journal of microbiology and biotechnology Vol.24 No.5

        The highly pathogenic avian influenza A (HPAI) viruses of the H5N1 subtype infect poultry and have also been spreading to humans. Although new antiviral drugs and vaccinations can be effective, rapid detection would be more efficient to control the outbreak of infections. In this study, a phage-display library was applied to select antibody fragments for HPAI strain A/Hubei/1/2010. As a result, three clones were selected and sequenced. A hemagglutinin inhibition assay of the three scFvs revealed that none exhibited hemagglutination inhibition activity towards the H5N1 virus, yet they showed a higher binding affinity for several HPAI H5N1 strains compared with other influenza viruses. An ELISA confirmed that the HA protein was the target of the scFvs, and the results of a protein structure simulation showed that all the selected scFvs bound to the HA2 subunit of the HA protein. In conclusion, the three selected scFVs could be useful for developing a specific detection tool for the surveillance of HPAI epidemic strains.

      • KCI등재

        Optical Properties of Zinc-oxide Films Determined Using Spectroscopic Ellipsometry with Various Dispersion Models

        Zhong-Hong Dai,Jie Shao,Yi-Ming Chen,Yu-Xiang Zheng,Jia-Da Wu,Liang-Yao Chen,Rong-Jun Zhang 한국물리학회 2009 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.55 No.3

        In this work, we have studied the optical properties of wurtizite zinc-oxide films grown on silicon (100) substrates by means of pulsed laser deposition (PLD). Spectroscopic ellipsometry and three dispersion models, namely, the Sellmeier, Cauchy, and Forouhi-Bloomer models, were applied for determining the optical constants of the ZnO thin films. A comparison was made between two samples that were deposited for 30 minutes (sample I) and 60 minutes (sample II), respectively. X-ray diffraction analysis indicates that there are two types of preferred-orientation, i.e., (101) and (100) orientations for sample I and II, respectively. Results show that the Cauchy model gives the best fit for the samples with least root mean square error (RMSE) whereas the Forouhi-Bloomer model is most suitable for the data analysis in both the transparent and the absorption regions. The optical properties extracted from different dispersion models have been compared with the data reported in the literature. The results given in this work show that different dispersion models should be applied to obtain the optical constants In this work, we have studied the optical properties of wurtizite zinc-oxide films grown on silicon (100) substrates by means of pulsed laser deposition (PLD). Spectroscopic ellipsometry and three dispersion models, namely, the Sellmeier, Cauchy, and Forouhi-Bloomer models, were applied for determining the optical constants of the ZnO thin films. A comparison was made between two samples that were deposited for 30 minutes (sample I) and 60 minutes (sample II), respectively. X-ray diffraction analysis indicates that there are two types of preferred-orientation, i.e., (101) and (100) orientations for sample I and II, respectively. Results show that the Cauchy model gives the best fit for the samples with least root mean square error (RMSE) whereas the Forouhi-Bloomer model is most suitable for the data analysis in both the transparent and the absorption regions. The optical properties extracted from different dispersion models have been compared with the data reported in the literature. The results given in this work show that different dispersion models should be applied to obtain the optical constants

      • A Secret Sharing Scheme Based on AES

        Jie Cui,Lei Chen,Yiming Zhang,Zhiqiang Xie,Hong Zhong 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.6

        In order to solve the key setting difficulty and the key security problem in the file encryption, key distributed storage technology may be a proper choice to help improve the safety of the key. In the paper, a novel secret sharing scheme is proposed by AES encryption algorithm for file confidentiality, dynamic key generation mechanism to generate keys, multi-secret-sharing ideas on key pre-treatment, using Shamir threshold scheme for secret dispersed storage. Finally, a few tests are carried out and the test results suggest that the efficiency of the whole scheme is good.

      • SCIESCOPUSKCI등재

        mRNA Expression of Ovine Angiopoietin-like Protein 4 Gene in Adipose Tissues

        Zhang, Jing,Jing, Jiong-Jie,Jia, Xia-Li,Qiao, Li-Ying,Liu, Jian-Hua,Liang, Chen,Liu, Wen-Zhong Asian Australasian Association of Animal Productio 2016 Animal Bioscience Vol.29 No.5

        Angiopoietin-like protein 4 (ANGPTL4) is involved in a variety of functions, including lipoprotein metabolism and angiogenesis. To reveal the role of ANGPTL4 in fat metabolism of sheep, ovine ANGPTL4 mRNA expression was analyzed in seven adipose tissues from two breeds with distinct tail types. Forty-eight animals with the gender ratio of 1:1 for both Guangling Large Tailed (GLT) and Small Tailed Han (STH) sheep were slaughtered at 2, 4, 6, 8, 10, and 12 months of age, respectively. Adipose tissues were collected from greater and lesser omental, subcutaneous, retroperitoneal, perirenal, mesenteric, and tail fats. Ontogenetic mRNA expression of ANGPTL4 in these adipose tissues from GTL and STH was studied by quantitative real time polymerase chain reaction. The results showed that ANGPTL4 mRNA expressed in all adipose tissues studied with the highest in subcutaneous and the lowest in mesenteric fat depots. Months of age, tissue and breed are the main factors that significantly influence the mRNA expression. These results provide new insights into ovine ANGPTL4 gene expression and clues for its function mechanism.

      • Detection of structural damage via free vibration responses by extended Kalman filter with Tikhonov regularization scheme

        Zhang, Chun,Huang, Jie-Zhong,Song, Gu-Quan,Dai, Lin,Li, Huo-Kun Techno-Press 2016 Structural monitoring and maintenance Vol.3 No.2

        It is a challenging problem of assessing the location and extent of structural damages with vibration measurements. In this paper, an improved Extended Kalman filter (EKF) with Tikhonov regularization is proposed to identify structural damages. The state vector of EKF consists of the initial values of modal coordinates and damage parameters of structural elements, therefore the recursive formulas of EKF are simplified and modal truncation technique can be used to reduce the dimension of the state vector. Then Tikhonov regularization is introduced into EKF to restrain the effect of the measurement noise for improving the solution of ill-posed inverse problems. Numerical simulations of a seven-story shear-beam structure and a simply-supported beam show that the proposed method has good robustness and can identify the single or multiple damages accurately with the unknown initial structural state.

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