MOOC learners' time‐investment patterns and temporal‐learning characteristics

2021 ◽  
Author(s):  
Shuang Li ◽  
Shuang Wang ◽  
Junlei Du ◽  
Yu Pei ◽  
Xinyi Shen
Keyword(s):  
Time Investment ◽  
Investment Patterns ◽  
Temporal Learning

Rubber Composition–Properties Relationships during Tire Numerical Simulation and Design Optimization

2017 ◽  
Vol 45 (1) ◽  
pp. 71-84 ◽  
Author(s):  
Alexey Mazin ◽  
Alexander Kapustin ◽  
Mikhail Soloviev ◽  
Alexander Karanets
Keyword(s):  
Numerical Simulation ◽  
Design Optimization ◽  
Strain Tensor ◽  
General Purpose ◽  
Orthogonal Functions ◽  
Element Analysis ◽  
Time Investment ◽  
Footprint Analysis ◽  
Composition Properties ◽  
Nonlinear Elastic

ABSTRACT Numerical simulation based on finite element analysis is now widely used during the design optimization of tires, thereby drastically reducing the time investment in the design process and improving tire performance because it is obtained from the optimized solution. Rubber material models that are used in numerical calculations of stress–strain distributions are nonlinear and may include several parameters. The relations of these parameters with rubber formulations are usually unknown, so the designer has no information on whether the optimal set of parameters is reachable by the rubber technological possibilities. The aim of this work was to develop such relations. The most common approach to derive the equation of the state of rubber is based on the expansion of the strain energy in a series of invariants of the strain tensor. Here, we show that this approach has several drawbacks, one of which is problems that arise when trying to build on its basis the quantitative relations between the rubber composition and its properties. An alternative is to use a series expansion in orthogonal functions, thereby ensuring the linear independence of the coefficients of elasticity in evaluation of the experimental data and the possibility of constructing continuous maps of “the composition to the property.” In the case of orthogonal Legendre polynomials, the technique for constructing such maps is considered, and a set of empirical functions is proposed to adequately describe the dependence of the parameters of nonlinear elastic properties of general-purpose rubbers on the content of the main ingredients. The calculated sets of parameters were used in numerical tire simulations including static loading, footprint analysis, braking/acceleration, and cornering and also in design optimization procedures.

scholarly journals Spatio-Temporal Learning of Basketball Offensive Strategies

2015 ◽  
Author(s):  
Ching-Hang Chen ◽  
Tyng-Luh Liu ◽  
Yu-Shuen Wang ◽  
Hung-Kuo Chu ◽  
Nick C. Tang ◽  
...  
Keyword(s):  
Spatio Temporal ◽  
Temporal Learning ◽  
Offensive Strategies

scholarly journals The Food, Feelings, and Family Study: comparison of the efficacy of traditional methods, social media, and broadcast email to recruit pregnant women to an observational, longitudinal nutrition study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rebecca Smith ◽  
Crystal Alvarez ◽  
Sylvia Crixell ◽  
Michelle A. Lane
Keyword(s):  
Social Media ◽  
Pregnant Women ◽  
Family Study ◽  
Human Subjects ◽  
Recruitment Method ◽  
Traditional Methods ◽  
Chi Square ◽  
Recruitment Methods ◽  
Health Care Intervention ◽  
Time Investment

Abstract Background It is well known that recruitment is a challenging aspect of any study involving human subjects. This challenge is exacerbated when the population sought is reticent to participate in research as is the case with pregnant women and individuals with depression. This paper compares recruitment methods used for the Food, Feelings, and Family Study, an observational, longitudinal pilot study concerning how diet and bisphenol A exposure affect maternal mood and cognitive function during and after pregnancy. Methods Pregnant women were recruited to this study over a period of 15 months using traditional methods, social media including paid and unpaid posts, and emails broadcast to the university community. Contingency analysis using the Pearson’s Chi-square test was used to determine if recruitment method was associated with likelihood of participation. T-tests were used to analyze Facebook advertisement success. ANOVAs and Fisher exact tests were used to determine if recruitment method was related to continuous and categorical demographics, respectively. Results Social media resulted in the largest number of recruits, followed by traditional methods and broadcast email. Women recruited through social media were less likely to participate. In contrast, use of broadcast email resulted in a smaller pool of recruits but these recruits were more likely to be eligible for and complete the study. Most women recruited via social media were the result of unpaid posts to the study’s Facebook page. Paid posts lasting at least 4 days were the most successful. Recruitment method was not associated with participant demographics. Conclusions Social media has the potential to recruit a large pool of potential subjects; however, when studies require a large time investment such as the case here, women recruited through social media are less likely to participate and complete the study than women recruited through other means. Trial registration N/A. This study does not describe a health care intervention.

Factors Explaining Direct Investment Patterns

1975 ◽  
Vol 9 (4) ◽  
pp. 258-266
Author(s):  
John D. Daniels
Keyword(s):  
Direct Investment ◽  
Investment Patterns

scholarly journals Patterns of use and perceived value of social media for population health among population health stakeholders: a cross-sectional web-based survey

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sungwon Yoon ◽  
Sharon Wee ◽  
Vivian S. Y. Lee ◽  
Jing Lin ◽  
Julian Thumboo
Keyword(s):  
Social Media ◽  
Community Engagement ◽  
Population Health ◽  
Preventive Care ◽  
Health Professionals ◽  
Healthcare Professionals ◽  
Web Based ◽  
Healthy Behaviors ◽  
Time Investment ◽  
Patterns Of Use

Abstract Background Although existing studies have described patterns of social media use in healthcare, most are focused on health professionals in one discipline. Population health requires a multi-disciplinary approach to ensure diversity and to include diverse stakeholders. To date, what is known about using social media in population health is focused on its potential as a communication tool. This study aims to investigate patterns of use and perceived value of social media usage among stakeholders in population health practice, policy, or research. Methods We conducted a web-based survey of delegates attending the Singapore Population Health Conversations and Workshop. We designed a 24-item questionnaire to assess 1) social media use in terms of type of platform and frequency of use; 2) perceptions of social media relevance and impact on population health; and 3) top three areas in population health that would benefit from social media. We used descriptive and logistic regression analyses to assess the relationships between variables. Results Of the 308 survey respondents, 97.7% reported that they use social media in some form. Messaging (96.8%) was the most dominant activity when using social media. Challenges in implementing social media for population health were time investment by health care professionals (56.2%) and patient adoption (52.9%). The top three population health areas that would benefit most from using social media were the promotion of healthy behaviors (60.7%), community engagement (47.7%), and preventive care (40.6%). Older respondents (> = 40 years) were less likely to view social media as useful for the promotion of healthy behaviors (OR = 0.34; 95% CI: 0.19–0.60). Non-social/healthcare professionals were more likely to consider social media to be useful for community engagement (OR = 1.74; 95% CI: 1.10–2.76). For preventive care, older respondents (OR = 0.51; 95% CI: 0.32–0.82) and non-social/healthcare professionals were less likely to view social media as useful (OR = 0.61; 95% CI: 0.38–0.97). Conclusions Our findings suggest that it may be important to select the specific care areas that would benefit most from using social media. The time investment needed by population health professionals should be fully addressed in planning to maximize the application and potential value of social media.

scholarly journals Costly children: the motivations for parental investment in children in a low fertility context

Genus ◽  
2021 ◽  
Vol 77 (1) ◽  
Author(s):  
Anne H. Gauthier ◽  
Petra W. de Jong
Keyword(s):  
Parental Investment ◽  
Low Fertility ◽  
Middle Income ◽  
Time Investment ◽  
Investment In Children ◽  
Theoretical Perspectives ◽  
Self Development ◽  
The Usa ◽  
Human And Social Capital ◽  
Large Investment

AbstractWhile the literature has documented a general increase in parental investment in children, both in terms of financial and time investment, the motives for this increase remain unclear. This paper aims at shedding light on these motives by examining parents’ own narratives of their parenting experiences from the vantage point of three theoretical perspectives. In doing so, the paper brings side-by-side the goal of providing children with human and social capital to improve their future labour market prospects, the pressures on parents to conform to new societal standards of good and intensive parenting, and the experience of parenting as part of self-development. The data come from a qualitative study of middle-income parents in Canada and the USA. The results provide some support for each of these perspectives, while also revealing how they jointly help explain parents’ large investment in their children as well as the tensions and contradictions that come with it.

scholarly journals Effects of stimulus and task structure on temporal perceptual learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rannie Xu ◽  
Russell M. Church ◽  
Yuka Sasaki ◽  
Takeo Watanabe
Keyword(s):  
Temporal Discrimination ◽  
Discrimination Performance ◽  
Task Structure ◽  
Comparison Task ◽  
Interval Representation ◽  
Before And After ◽  
Temporal Intervals ◽  
Context Specific ◽  
Temporal Learning ◽  
And Task

AbstractOur ability to discriminate temporal intervals can be improved with practice. This learning is generally thought to reflect an enhancement in the representation of a trained interval, which leads to interval-specific improvements in temporal discrimination. In the present study, we asked whether temporal learning is further constrained by context-specific factors dictated through the trained stimulus and task structure. Two groups of participants were trained using a single-interval auditory discrimination task over 5 days. Training intervals were either one of eight predetermined values (FI group), or random from trial to trial (RI group). Before and after the training period, we measured discrimination performance using an untrained two-interval temporal comparison task. Our results revealed a selective improvement in the FI group, but not the RI group. However, this learning did not generalize between the trained and untrained tasks. These results highlight the sensitivity of TPL to stimulus and task structure, suggesting that mechanisms of temporal learning rely on processes beyond changes in interval representation.

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