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7篇 您的检索式:作者名="Zaimin"
    题名 作者 年代 出处 被引量
1Geochemical Indications of Possible Gas Hydrates in the Northeastern South China Sea显示文摘煤气的水合物,主要烃气体和水创作了,被认为是在第 21 世纪的一个干净精力。象 BSR (模仿底部的思考) 那样的许多指示物,被认为与煤气的水合物有关,在最近的年里在华南海(SCS ) 被发现。SCS 的东北部分被许多科学家在区域作为大多数潜力之一拿。它位于北分叉的大陆人边缘和东方会聚的岛边缘的连词,其地质的背景更好让煤气的水合物发生。通过这研究,亮度温度异例由基于卫星的热红外线的遥远地察觉到的图象记录了在前或在逼近的地震,从表面下的沉积排除酸的烃气体满意的高度和表面下的沉积的放射性的热照明价值在这个区域被发现的高度以内。有时,亮度温度异例独自在包围 Dongsha 岛存在。到 393 亩 L 甲烷的烃气体数量的最高的内容每公斤沉积和最高放射性的热照明珍视是 31752 单位;他们的几何一般水准分别地是 60.5 亩 L/kg 和 2688.9 单位。是更鼓舞人心的的,是有三个地点,甲烷内容直到 243, 268 并且 359mu L/kg 和他们的放射性的热照明价值分别地是 8430,9537 和 20826 单位。这三个地点只在前辈识别的最高充满信心的 BSR 之一的附近。同时,异例在在这个地点的孔隙水与象在沉积和氯化物异例的 headspacegas 异例那样的另外的结果通常是重合的 1146 Leg184。上述异例是最可能在东北 SCS 显示煤气的水合物的出现。LU Zhengquan WU Bihao ZHU Youhai QIANG Zuji WANG Zaimin ZHANG Fuyuan 2006Acta Geologica Sinica(English Edition)2006,80,4:4
2Pre- diction of Clock Errors of Atomic Clocks Based on Modified Linear Combination Model显示文摘Wang Jigang Hu Yonghui He Zaimin 2011Chinese Astronomy and Astrophysics2011,35,:1
3Evaluation of mulched drip irrigation for cotton in arid Northwest China显示文摘Wang Zaimin Jin Menggui Simtenek J 2014Irrigation Science2014,32,1:1
4Photosynthesis, growth and yield of soybean and maize in a tree-based agroforestry intercropping system on the Loess Plateau显示文摘Xiaobang Peng Yuanying Zhang Jing Cai Zaimin Jiang Shuoxin Zhang 2009Agroforestry Systems2009,,3:1
5Effects of Taijiquan and Qigong exercises on depression and anxiety levels in patients with substance use disorders:A systematic review and meta-analysis显示文摘Previous studies have shown that Taijiquan and Qigong exercise can effectively reduce depression and anxiety in healthy and clinical populations.At present,only a few reviews have elaborated on the premise of different types of interventions,and there is still a lack of studies that systematically summarize the clinical evidence of patients with substance use disorders.The purpose of this meta-analysis was to assess the impact of the Taijiquan and Qigong exercise on the mood of individuals with substance use disorders(SUD);Articles were searched in Pubmed,Embase,Cochrane Library,Web of Science,and CNKI from their inception to the May 24,2021.All randomized controlled trials(RCT)using Taijiquan and Qigong intervention were included.With the Review Manager software to determine the effect(standardized mean difference,SMD),subgroup analysis was conducted to intervention type,exercise time,and exercise duration.Nine studies totaling 823 participants were included in the study.Overall results indicated that Taijiquan and Qigong exercise had significant benefits in reducing depression(SMD=-0.35,95%CI:-0.53 to-0.18,Z=4.00,p<0.01)and anxiety(SMD=-0.31,95%CI:-0.50 to-0.11,Z=3.06,p<0.01)symptoms in SUD.When depression and anxiety were examined separately,subgroup analysis demonstrated that Taijiquan intervention(SMD=0.45,95%CI:-0.71 to-0.19,Z=3.39,p<0.01)and Qigong intervention(SMD=0.28,95%CI-0.51 to-0.04,Z=2.33,p=0.02),30–60 min exercise time(SMD=0.41,95%CI:-0.61 to-0.20,Z=3.82,p<0.01)and duration of 9–12 weeks(SMD=0.57,95%CI:-1.10 to-0.04,Z=2.10,p=0.04)more than 12 weeks(SMD=0.28,95%CI:-0.50 to-0.07,Z=2.59,p=0.01)could effectively alleviate the symptoms of depression.Meanwhile,Qigong intervention(SMD=0.31,95%CI:-0.52 to-0.10,Z=2.85,p<0.01),30–60 min exercise time(SMD=0.29,95%CI:-0.53 to-0.04,Z=2.28,p=0.02),more than 60 min exercise time(SMD=0.54,95%CI:-1.06 to-0.02,Z=2.05,p=0.04),and duration of less than 9 weeks(SMD=0.35,95%CI:-0.68 to-0.02,Z=2.07,p=0.04)had positive effects on alleviating anxiety symptoms with SUD.Taijiquan and Qigong exercise could reduce levels of anxiety and depression in those with SUD.Considering the small number of included studies,more reliable RCTs are needed on this topic.Peng Zhang Zaimin Li Qing Yang Jiali Zhou Xiujie Ma 2022Sports Medicine and Health Science2022,4,2:1
6Concept Eval- uation of A Novel Gear Selector for Automated Manual Transmis- sions 显示文摘Zhong Zaimin Kong Guoling Yu Zhuoping 2012Mechanical Systems and Signal Processing2012,31,:1
7Capacity Optimization Configuration of Hydrogen Production System for Offshore Surplus Wind Power显示文摘To solve the problem of residual wind power in offshore wind farms,a hydrogen production system with a reasonable capacity was configured to enhance the local load of wind farms and promote the local consumption of residual wind power.By studying the mathematical model of wind power output and calculating surplus wind power,as well as considering the hydrogen production/storage characteristics of the electrolyzer and hydrogen storage tank,an innovative capacity optimization allocation model was established.The objective of the model was to achieve the lowest total net present value over the entire life cycle.The model took into account the cost-benefit breakdown of equipment end-of-life cost,replacement cost,residual value gain,wind abandonment penalty,hydrogen transportation,and environmental value.The MATLAB-based platform invoked the CPLEX commercial solver to solve the model.Combined with the analysis of the annual average wind speed data from an offshore wind farm in Guangdong Province,the optimal capacity configuration results and the actual operation of the hydrogen production system were obtained.Under the calculation scenario,this hydrogen production system could consume 3,800 MWh of residual electricity from offshore wind power each year.It could achieve complete consumption of residual electricity from wind power without incurring the penalty cost of wind power.Additionally,it could produce 66,500 kg of green hydrogen from wind power,resulting in hydrogen sales revenue of 3.63 million RMB.It would also reduce pollutant emissions from coal-based hydrogen production by 1.5 tons and realize an environmental value of 4.83 million RMB.The annual net operating income exceeded 6 million RMB and the whole life cycle NPV income exceeded 50 million RMB.These results verified the feasibility and rationality of the established capacity optimization allocation model.The model could help advance power system planning and operation research and assist offshore wind farm operators in improving economic and environmental benefits.Yanshan Lu Binbin He Jun Jiang Ruixiao Lin Xinzhen Zhang Zaimin Yang Zhi Rao Wenchuan Meng Siyang Sun 2023Energy Engineering2023,120,12:0
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