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您的检索式：作者名="Congfeng Jiang"
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| 1 | A new long-acting GLP-1 derivative KTP ameliorates hyperglycemia and dyslipidemia and improves pancreas and fatty liver in db/db mice显示文摘Glucagon-like peptide-1 (GLP-1) is a polypeptide incretin hormone that glucose-dependently promotes the secretion and synthesis of insulin. However, its half-life is extremely short. To enhance its half-life, we developed a long-acting GLP-1 derivative KTP with controlled release, designed on the basis of another GLP-1 derivative GP62. The kinetics and bioactivity of KTP were evaluated in Sprague Dawley (SD) rats. Long-term treatment of KTP was performed in db/db mice. Mice were treated twice daily with subcutaneous injections of KTP (1.2 mg/kg body weight), Exendin-4 (0.1 mg/kg body weight) or vehicle (phosphate buffered saline (PBS), pH 7.4) for 60 d. KTP had a longer half-life, as well as further increasing the secretion and production of insulin and reducing blood glucose concentrations, than GP62. Long-term treatment with KTP also induced anorexia, decreased water and food intake, decreased weight gain, improved blood glucose and blood lipid and ameliorated pancreatic damage and fatty liver in db/db mice. | SANG YanXia ZHOU TianHong LI HongJian RAN YanHong JIANG DeQi ZHENG Fei CHEN Ying WANG CongFeng ZOU Xin | 2013 | Chinese Science Bulletin2013，58，20： | 2 |
| 2 | Performance Prediction Based Workload Scheduling in Co-Located Cluster显示文摘Cloud service providers generally co-locate online services and batch jobs onto the same computer cluster,where the resources can be pooled in order to maximize data center resource utilization.Due to resource competition between batch jobs and online services,co-location frequently impairs the performance of online services.This study presents a quality of service(QoS)prediction-based schedulingmodel(QPSM)for co-locatedworkloads.The performance prediction of QPSM consists of two parts:the prediction of an online service’s QoS anomaly based on XGBoost and the prediction of the completion time of an offline batch job based on randomforest.On-line service QoS anomaly prediction is used to evaluate the influence of batch jobmix on on-line service performance,and batch job completion time prediction is utilized to reduce the total waiting time of batch jobs.When the same number of batch jobs are scheduled in experiments using typical test sets such as CloudSuite,the scheduling time required by QPSM is reduced by about 6 h on average compared with the first-come,first-served strategy and by about 11 h compared with the random scheduling strategy.Compared with the non-co-located situation,QPSM can improve CPU resource utilization by 12.15% and memory resource utilization by 5.7% on average.Experiments show that the QPSM scheduling strategy proposed in this study can effectively guarantee the quality of online services and further improve cluster resource utilization. | Dongyang Ou Yongjian Ren Congfeng Jiang | 2024 | Computer Modeling in Engineering & Sciences2024，139，5： | 0 |
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