To identify kinematic variables related to short course 100 m breaststroke performance.

An automatic race analysis system was utilized to obtain start (0-15 m), turn (5 m before the wall until 10 m out), finish (95-100 m), and clean swimming (the rest of the race) segment times as well as cycle rate and cycle length during each swimming cycle from 15 male swimmers during a 100 m breaststroke race. A bivariate correlation and a partial correlation were employed to assess the relationship between each variable and swimming time.

Turns were the largest time contributor to the finishing time (44.30 ± 0.58%), followed by clean swimming (38.93 ± 0.50%), start (11.39 ± 0.22%), and finish (5.36 ± 0.18%). The finishing time was correlated (
< 0.001) with start segment time (r = 0.979), clean swimming time (r = 0.940), and 10 m turn-out time (r = 0.829). The clean swimming time was associated with the finishing time, but cycle rate and cycle length were not. In both start and turns, the peak velocity (i.e., take-off and push-off velocity) and the transition velocity were related to the segment time (r ≤ -0.673,
≤ 0.006).

Breaststroke training should focus on (I) 15 m start with generating high take-off velocity, (II) improving clean swimming velocity by finding an optimal balance between cycle length and rate, (III) 10 m turn-out with maintaining a strong wall push-off, and (IV) establishing a high transition velocity from underwater to surface swimming.
Breaststroke training should focus on (I) 15 m start with generating high take-off velocity, (II) improving clean swimming velocity by finding an optimal balance between cycle length and rate, (III) 10 m turn-out with maintaining a strong wall push-off, and (IV) establishing a high transition velocity from underwater to surface swimming.Housing stability is a key outcome in studies evaluating housing services for the homeless population. Housing stability has typically been defined dichotomously and based on a fixed duration of maintenance in housing accommodations, which does not fully capture change in housing status among homeless individuals. Moreover, few typologies have examined housing trajectories across different housing types. Cluster analysis was used to develop a typology of housing status change for 270 currently or formerly homeless individuals in Quebec (Canada) residing in shelters and temporary and permanent housing. Participants were interviewed at baseline (T0) and 12 months later (T1). The Gelberg-Andersen Model was used to organize housing-related variables into predisposing, needs and enabling factors. Comparison analyses were conducted to assess group differences. Three groups (Groups 1, 3 and 4) had more favorable and two (Groups 2 and 5) less favorable, housing status at T1. Findings suggest that maintenance or improvement of housing status requires suitable types and frequencies of service use (enabling factors) that are well adapted to the nature and complexity of health problems (needs factors) among homeless individuals. Specific interventions, such as outreach programs and case management, should be prioritized for individuals at higher risk for returning to homelessness.Social distancing is one of the most recommended policies worldwide to reduce diffusion risk during the COVID-19 pandemic. Based on a risk management perspective, this study explores the mechanism of the risk perception effect on social distancing in order to improve individual physical distancing behavior. The data for this study were collected from 317 Chinese residents in May 2020 using an internet-based survey. A structural equation model (SEM) and hierarchical linear regression (HLR) analyses were conducted to examine all the considered research hypotheses. The results show that risk perception significantly affects perceived understanding and social distancing behaviors in a positive way. Perceived understanding has a significant positive correlation with social distancing behaviors and plays a mediating role in the relationship between risk perception and social distancing behaviors. https://www.selleckchem.com/products/ici-118551-ici-118-551.html Furthermore, safety climate positively predicts social distancing behaviors but lessens the positive correlation between risk perception and social distancing. Hence, these findings suggest effective management guidelines for successful implementation of the social distancing policies during the COVID-19 pandemic by emphasizing the critical role of risk perception, perceived understanding, and safety climate.
The relevant scientific literature has confirmed the relationship between emotional intelligence (EI) and mental health. In addition, previous studies have underlined the importance of perceived EI between family members in the construction of one's own EI. Adolescence is considered to be a crucial stage in identity construction and a time when mental health is vulnerable.

To analyze the mediating role of self-reported EI on mental health of adolescents and young adults still living in the family home, we considered the relationship between perceived EI in parents and children.

The sample was comprised of 170 children and their respective fathers and mothers living in the same family home. Self-reported EI was evaluated using the Trait Meta-Mood Scale (TMMS-24), whereas perceived EI was evaluated via the Perceived Emotional Intelligence Scale-24 (PTMM-24) and mental health using the MH-5.

Parents' perceived EI of their children also children's perceived EI of their parents has a direct effect on children's mental health and an indirect effect through the EI self-reported by children. We discuss the differences in the role of mothers and fathers in emotional education and its influence on the results.

We highlight the importance of perceived EI among family members, over and above the self-reported EI of each member, for its predictive power on the mental health of children.
We highlight the importance of perceived EI among family members, over and above the self-reported EI of each member, for its predictive power on the mental health of children.The prevention and mitigation of spalling in high-strength concrete (HSC) rely on mixing polypropylene (PP) as an additive reinforcement. The dense internal structures of ultra-high-strength concrete (UHSC) result in risks associated with a high thermal stress and high water vapor pressure. Herein, the effects of pore formation and thermal strain on spalling are examined by subjecting fiber-laden UHSC to conditions similar to those under which the ISO-834 standard fire curve was obtained. Evaluation of the initial melting properties of the fibers based on thermogravimetric analysis (TGA) and differential thermal analysis (DTA) demon strated that although nylon fibers exhibit a higher melting point than polypropylene and polyethylene fibers, weight loss occurs below 200 °C. Nylon fibers were effective at reducing spalling in UHSC compared to polypropylene and polyethylene fibers as they rapidly melt, leading to pore formation. We anticipate that these results will serve as references for future studies on the prevention of spalling in fiber-reinforced UHSC.