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以HSK方程为基础,提出了一种利用岩心核磁共振实验数据计算阳离子交换容量Qv的方法.该方法与湿式化学阳离子交换容量分析法相比存在一定的误差.12块岩样数据显示,相对误差范围12%~95%,平均相对误差为55%.分别从溶液矿化度、核磁共振总孔隙度以及黏土束缚水T2截止值等参数出发,开展了核磁共振确定阳离子交换容量影响因素分析研究.黏土束缚水T2截止值是影响核磁共振计算阳离子交换容量的关键参数,黏土束缚水T2截止值是可变的,而不是传统意义上的3 ms.基于岩心核磁共振准确求取阳离子交换容量的前提是准确求取黏土束缚水T2截止值. 相似文献
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Lilan Wang Yao Wang Jianwen Chen Peiqing Liu Min Li 《International journal of molecular sciences》2022,23(9)
Electronic cigarettes (e-cigarettes) have attracted much attention as a new substitute for conventional cigarettes. E-cigarettes are first exposed to the respiratory system after inhalation, and studies on the toxicity mechanisms of e-cigarettes have been reported. Current research shows that e-cigarette exposure may have potentially harmful effects on cells, animals, and humans, while the safety evaluation of the long-term effects of e-cigarette use is still unknown. Similar but not identical to conventional cigarettes, the toxicity mechanisms of e-cigarettes are mainly manifested in oxidative stress, inflammatory responses, and DNA damage. This review will summarize the toxicity mechanisms and signal pathways of conventional cigarettes and e-cigarettes concerning the respiratory system, which could give researchers a better understanding and direction on the effects of e-cigarettes on our health. 相似文献
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WANG Yan NIU Jianjun School of Transportation Science Engineering Beihang University Beijing China International Petroleum Exploration Production Corporation China Petroleum & Chemical Corporation Beijing China 《机械工程学报(英文版)》2011,(4):669-675
Iterative Learning Control (ILC) captures interests of many scholars because of its capability of high precision control implement without identifying plant mathematical models, and it is widely applied in control engineering. Presently, most ILC algorithms still follow the original ideas of ARIMOTO, in which the iterative-learning-rate is composed by the control error with its derivative and integral values. This kind of algorithms will result in inevitable problems such as huge computation, big storage capacity for algorithm data, and also weak robust. In order to resolve these problems, an improved iterative learning control algorithm with fixed step is proposed here which breaks the primary thought of ARIMOTO. In this algorithm, the control step is set only according to the value of the control error, which could enormously reduce the computation and storage size demanded, also improve the robust of the algorithm by not using the differential coefficient of the iterative learning error. In this paper, the convergence conditions of this proposed fixed step iterative learning algorithm is theoretically analyzed and testified. Then the algorithm is tested through simulation researches on a time-variant object with randomly set disturbance through calculation of step threshold value, algorithm robustness testing,and evaluation of the relation between convergence speed and step size. Finally the algorithm is validated on a valve-serving-cylinder system of a joint robot with time-variant parameters. Experiment results demonstrate the stability of the algorithm and also the relationship between step value and convergence rate. Both simulation and experiment testify the feasibility and validity of the new algorithm proposed here. And it is worth to noticing that this algorithm is simple but with strong robust after improvements, which provides new ideas to the research of iterative learning control algorithms. 相似文献
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《Ergonomics》2012,55(11):1347-1358
A study was conducted to investigate the influence of different approaches to arranging the pace and temporal organisation of repetitive assembly and disassembly tasks on both average performance and its variability and to compare assembly and disassembly times derived with psychophysical methods to a more traditional methods-time measurement (MTM) approach. The conditions studied were a traditional assembly line arrangement, where assemblies were started at a pace of 110 MTM (repeated on two occasions), a batch condition, where subjects were required to complete 36 assemblies within the total amount of time allowed at 110, MTM and a psychophysical condition, where subjects were allowed to choose their pace (repeated on two occasions). Overall, the results suggest that the mean time spent working in each cycle (the ‘on-time’) remained fairly constant across conditions, while the idle ‘off-time’ in between on-times was shorter and of less varied duration in the more autonomous batch and psychophysical conditions. During the second psychophysical (self-paced) condition, subjects completed a significantly higher number of assemblies than during the 110 MTM line condition. The higher pace was achieved through reduction in mean off-times and the potential implications for musculoskeletal risk are discussed. Statement of Relevance: Higher levels of autonomy over work pace, which intuitively would be beneficial from an ergonomics standpoint, actually led to subjects selecting to organise work such that off-times (idle times) were reduced. In contrast, active ‘on’ times were not affected much by autonomy. These results point to a reason that piecework would be associated with increased risk for musculoskeletal disorders. 相似文献
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