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Biaxial mechanical behavior of closed-cell aluminum foam under combined shear-compression loading 被引量:3
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作者 zhi-bin li Xue-yan li Yu-xuan ZHENG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2020年第1期41-50,共10页
Combined shear-compression tests and simulations were performed on a closed-cell aluminum foam over a wide range of loading angles in order to probe their yield behaviors under biaxial loading conditions.Combined shea... Combined shear-compression tests and simulations were performed on a closed-cell aluminum foam over a wide range of loading angles in order to probe their yield behaviors under biaxial loading conditions.Combined shear-compression tests were carried out by using a pair of cylindrical bars with beveled ends.The yield surfaces were experimentally measured and compared with various theoretical yield surface models.The cellular structures of closed-cell aluminum foams were modeled as tetrakaidecahedrons and their biaxial crushing behaviors were simulated by the finite element method.The results show that,yield initiates from the stress-concentrated corners in the specimens under combined shear-compression loading and the stress distribution is no longer uniform at the specimen/bar interfaces.In the range of cell sizes studied,the larger the foam cell size is,the higher the yield stress is.Aluminum foam density is found to be the dominant factor on its mechanical properties compared with the cell size and is much more significant in engineering practice. 展开更多
关键词 combined shear-compression closed-cell aluminum foam yield surface biaxial loading yield behavior
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Effect of Chinese Herbal Medicine Jinlida Granule in Treatment of Patients with Impaired Glucose Tolerance 被引量:11
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作者 Ya-lin Shi Wen-Juan liu +7 位作者 Xiao-Fang Zhang Wei-Juan Su Ning-Ning Chen Shu-Hua Lu li-Yino Wang Xiu-lin Shi zhi-bin li Shu-Yu Yang 《Chinese Medical Journal》 SCIE CAS CSCD 2016年第19期2281-2286,共6页
Background:Diabetes mellitus (DM) remains a major health problem worldwide.Several clinical trials have shown the superiority of the Traditional Chinese Medicine in delaying or reversing the development and progres... Background:Diabetes mellitus (DM) remains a major health problem worldwide.Several clinical trials have shown the superiority of the Traditional Chinese Medicine in delaying or reversing the development and progression of DM.This study aimed to evaluate the efficacy of Jinlida (JLD) granule,a Chinese herbal recipe,in the treatment of impaired glucose tolerance (IGT) and its effect on the prevention of DM.Methods:Sixty-five IGT patients were randomized to receive one bag of JLD granules three times daily (JLD group,n =34) or no drug intervention (control group,n =31) for 12 weeks.Oral glucose tolerance test,glycated hemoglobin A1c (HbA1c),body mass index,blood lipids levels,fasting insulin,and insulin resistance calculated using homeostatic model assessment (HOMA-IR) of all the patients were observed and compared before and after the treatment.Results:Sixty-one participants completed the trial (32 in JLD group and 29 in the control group).There were statistically significant decreases in HbA1c (P 〈 0.001),2-h plasma glucose (P 〈 0.001),and HOMA-IR (P =0.029) in JLD group compared with the control group after 12 weeks of treatment.After 12 weeks of treatment,two (6.9%) patients returned to normal blood glucose,and five (17.2%) patients turned into DM in control group,while in the JLD group,14 (43.8%) returned to normal blood glucose and 2 (6.2%) turned into DM.There was a significant difference in the number of subjects who had normal glucose at the end of the study between two groups (P =0.001).Conclusions:JLD granule effectively improved glucose control,increased the conversion of IGT to normal glucose,and improved the insulin resistance in patients with IGT.This Chinese herbal medicine may have a clinical value for IGT. 展开更多
关键词 Clinical Observation Diabetes Mellitus Impaired Glucose Tolerance Jinlida Granule
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Novel potential metabolic biomarker panel for early detection of severe COVID-19 using full-spectru
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作者 zhi-bin li Jun liu +7 位作者 Shan-Qiang Zhang Yi Yu Hong-Feng liang Qi-Qi Lu Jing Chen Yu-Shuai Han Fan Zhang Ji-Cheng li 《Signal Transduction and Targeted Therapy》 SCIE CSCD 2022年第5期1392-1395,共4页
The mortality rate of severe coronavirus disease 2019(COVID-19)is high,and there is no universally accepted method to predict its occurrence.COVID-19 pneumonia can be classified into four categories,such as,asymptomat... The mortality rate of severe coronavirus disease 2019(COVID-19)is high,and there is no universally accepted method to predict its occurrence.COVID-19 pneumonia can be classified into four categories,such as,asymptomatic,mild,moderate,and severe.According to Wu et al.1 data regarding COVID-19 patients in China's Mainland showed that among 44,415 patients who suffered from COVID-19,36,160 patients had mild COVID-19. 展开更多
关键词 MORTALITY MAINLAND
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基于广义估计方程的时间相关性事故频次建模(英文)
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作者 Wen-qing WU Wei WANG +2 位作者 zhi-bin li Pan liU Yong WANG 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2014年第7期529-539,共11页
研究目的:采用广义估计方程模型对存在时间相关性的事故频次数据进行建模,并与传统广义线性模型的估计效果进行对比。创新要点:通过广义估计方程来考虑事故频次建模中数据的时间相关性,从而提高参数估计准确度以及模型预测精度。研究方... 研究目的:采用广义估计方程模型对存在时间相关性的事故频次数据进行建模,并与传统广义线性模型的估计效果进行对比。创新要点:通过广义估计方程来考虑事故频次建模中数据的时间相关性,从而提高参数估计准确度以及模型预测精度。研究方法:基于4年高速公路交通事故频次数据,建立考虑时间相关性的广义估计方程以及传统的广义线性模型,并采用统计指标对模型效果进行对比。重要结论:1.事故频次数据样本量对预测精度影响很大;2.广义估计方程能够有效考虑事故频次数据中存在的时间相关性;3.广义估计方程的参数估计比传统广义线性模型更准确,且精度更高。 展开更多
关键词 广义估计方程 事故频次 时间相关 广义线型模型
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Association between atmospheric concentration of particulate matters and inpatient and outpatient visits for chronic respiratory diseases in Xiamen, China
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作者 Tao-ling Zhong Yi-Wei Zhang +10 位作者 Xiang-Yang Yao Guang-Hui Xu Hui liu Qiu-Shi Xu Wei Sun zhi-bin li Yun-Gang Yang Jin-Zhun Wu Chao Zheng Qi-Yuan li lin-Fu Zhou 《Chinese Medical Journal》 SCIE CAS CSCD 2021年第13期1616-1618,共3页
Exposure to airborne particulate matters(fine particulate matter[PM2.5]and inhalable particulate matter[PM10])causes acute exacerbation of chronic respiratory diseases and even death in some patients.[1,2]Here,we stud... Exposure to airborne particulate matters(fine particulate matter[PM2.5]and inhalable particulate matter[PM10])causes acute exacerbation of chronic respiratory diseases and even death in some patients.[1,2]Here,we studied the association between airborne pollutants(PM2.5,PM10,ozone[O_(3)]),weather conditions(mean air temperature,wind force),and outpatient and inpatient visits for chronic respiratory diseases(bronchitis,emphysema and chronic obstructive pulmonary disease[COPD],bronchiectasis)in Xiamen,China. 展开更多
关键词 China XIAMEN OZONE
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