<strong>Background: </strong>Walking speed is a reliable barometer of adverse health outcomes, particularly among older people. Few studies evaluated factors associated with daily actual walking speed, rat...<strong>Background: </strong>Walking speed is a reliable barometer of adverse health outcomes, particularly among older people. Few studies evaluated factors associated with daily actual walking speed, rather than that measured in a laboratory setting or self-reported data.<strong> Methods: </strong>In a joint effort with The Pokémon Company, we recruited study participants through a women’s magazine and analyzed data from 63 Pokémon GO players. We measured the true walking speed in daily life among older women using a data-gathering mobile application. Then, using questionnaire survey data collected on these participants in 2019, we estimated the relationship between walking speed and their lifestyle and physiological factors. In the analysis, we employed a bi-directional stepwise linear regression approach, with the Akaike information criterion (AIC) for variable selection. <strong>Results: </strong>The mean age of the 63 participants was 63.03 years (standard deviation, SD 7.46);the average walking speed was 4.56 km per hour (SD 1.54);and 52 (82.5%) and 55 (87.3%) participants answered that they had excellent/good health physically and mentally, respectively. After adjusted for covariates in a stepwise regression approach, we identified a significant association between <span style="white-space:nowrap;"><span style="white-space:nowrap;">−</span></span>1.33 (95% confidence intervals <span style="white-space:nowrap;"><span style="white-space:nowrap;">−</span></span>2.52 to <span style="white-space:nowrap;"><span style="white-space:nowrap;">−</span></span>0.15) km/hour lower walking speed and the experience of outdoor falls within a year. We also demonstrated that the walking speed was 1.07 (0.33 to 1.81) km/hour faster for those who had played Pokémon GO before the study started. <strong>Conclusions:</strong> The true walking speed in daily life among older women was measured by a data-gathering mobile application. Although all participants were women recruited on a voluntary basis with an understanding of the purpose of the study, and the surveys were conducted at a cross-sectional setting, a significant relationship with the experience of outdoor falls was demonstrated. We also present evidence suggesting a possible relationship between Pokémon GO play and faster walking speed.展开更多
In order to get the motion of a cam follower to meet its ideal requirements, we have to design the cam profile by considering its running speed fluctuation. In this paper, taking the beat up motion mechanism of a proj...In order to get the motion of a cam follower to meet its ideal requirements, we have to design the cam profile by considering its running speed fluctuation. In this paper, taking the beat up motion mechanism of a projectile loom as an example, a cam design method is illustrated with its spced fluctuation being considered.展开更多
The focus of this study is to explore the statis-tical distribution models of high-speed railway (HSR) train delays. Based on actual HSR operational data, the delay causes and their classification, delay frequency, nu...The focus of this study is to explore the statis-tical distribution models of high-speed railway (HSR) train delays. Based on actual HSR operational data, the delay causes and their classification, delay frequency, number of affected trains, and space–time delay distributions are discussed. Eleven types of delay events are classified, and a detailed analysis of delay distribution for each classifica-tion is presented. Models of delay probability delay prob-ability distribution for each cause are proposed. Different distribution functions, including the lognormal, exponen-tial, gamma, uniform, logistic, and normal distribution, were selected to estimate and model delay patterns. The most appropriate distribution, which can approximate the delay duration corresponding to each cause, is derived. Subsequently, the Kolmogorov–Smirnov (K–S) test was used to test the goodness of fit of different train delay distribution models and the associated parameter values. The test results show that the distribution of the test data is consistent with that of the selected models. The fitting distribution models show the execution effect of the timetable and help in finding out the potential conflicts in real-time train operations.展开更多
文摘<strong>Background: </strong>Walking speed is a reliable barometer of adverse health outcomes, particularly among older people. Few studies evaluated factors associated with daily actual walking speed, rather than that measured in a laboratory setting or self-reported data.<strong> Methods: </strong>In a joint effort with The Pokémon Company, we recruited study participants through a women’s magazine and analyzed data from 63 Pokémon GO players. We measured the true walking speed in daily life among older women using a data-gathering mobile application. Then, using questionnaire survey data collected on these participants in 2019, we estimated the relationship between walking speed and their lifestyle and physiological factors. In the analysis, we employed a bi-directional stepwise linear regression approach, with the Akaike information criterion (AIC) for variable selection. <strong>Results: </strong>The mean age of the 63 participants was 63.03 years (standard deviation, SD 7.46);the average walking speed was 4.56 km per hour (SD 1.54);and 52 (82.5%) and 55 (87.3%) participants answered that they had excellent/good health physically and mentally, respectively. After adjusted for covariates in a stepwise regression approach, we identified a significant association between <span style="white-space:nowrap;"><span style="white-space:nowrap;">−</span></span>1.33 (95% confidence intervals <span style="white-space:nowrap;"><span style="white-space:nowrap;">−</span></span>2.52 to <span style="white-space:nowrap;"><span style="white-space:nowrap;">−</span></span>0.15) km/hour lower walking speed and the experience of outdoor falls within a year. We also demonstrated that the walking speed was 1.07 (0.33 to 1.81) km/hour faster for those who had played Pokémon GO before the study started. <strong>Conclusions:</strong> The true walking speed in daily life among older women was measured by a data-gathering mobile application. Although all participants were women recruited on a voluntary basis with an understanding of the purpose of the study, and the surveys were conducted at a cross-sectional setting, a significant relationship with the experience of outdoor falls was demonstrated. We also present evidence suggesting a possible relationship between Pokémon GO play and faster walking speed.
文摘In order to get the motion of a cam follower to meet its ideal requirements, we have to design the cam profile by considering its running speed fluctuation. In this paper, taking the beat up motion mechanism of a projectile loom as an example, a cam design method is illustrated with its spced fluctuation being considered.
基金supported by the National Key R&D Plan (No.2017YFB1200701)National Nature Science Foundation of China (No.U1834209 and 71871188)the support of the Railways Technology Development Plan of China Railway Corporation (No.2016X008-J)supported by State Key Lab of Railway Control and Safety Open Topics Fund (No.RCS2019K007)
文摘The focus of this study is to explore the statis-tical distribution models of high-speed railway (HSR) train delays. Based on actual HSR operational data, the delay causes and their classification, delay frequency, number of affected trains, and space–time delay distributions are discussed. Eleven types of delay events are classified, and a detailed analysis of delay distribution for each classifica-tion is presented. Models of delay probability delay prob-ability distribution for each cause are proposed. Different distribution functions, including the lognormal, exponen-tial, gamma, uniform, logistic, and normal distribution, were selected to estimate and model delay patterns. The most appropriate distribution, which can approximate the delay duration corresponding to each cause, is derived. Subsequently, the Kolmogorov–Smirnov (K–S) test was used to test the goodness of fit of different train delay distribution models and the associated parameter values. The test results show that the distribution of the test data is consistent with that of the selected models. The fitting distribution models show the execution effect of the timetable and help in finding out the potential conflicts in real-time train operations.
文摘针对大口径大抽速低温泵的抽速性能进行了研究。由于我国对小于400 mm的低温泵的抽速测试有规范,但是对1250 mm大口径的低温泵还没有规范,因此类比电子行业标准低温泵总规范SJ/T11259-2001中规定的抽速测试方法,提出了一种在真空系统中实际测量低温泵抽速的方法;采用流量标定法获得低温泵在不同氮气流量下的压强和抽速,最后将抽速的理论值和试验值进行了比较分析。结果表明,低温泵在1-10 m L/min小进气条件下的抽速为44441-53280 L/s,在大进气条件200-800 m L/min时抽速为51393-59132 L/s,均小于低温泵的理论抽速60891 L/s。小流量进气条件下的实际抽速低于大流量下的实际抽速。并给出影响抽速的因素不仅与被抽气体物性参数、低温泵流导参数及冷凝板面积等自身参数有关还受到真空舱的体积、实际材料放气等因素的影响。
