Influence of rest on players’ performance and physiological responses during basketball play

Pre-match warm-ups are standard in many sports but the focus has excluded the substitute players. The aim of this research was to investigate the result of inactivity on physiological and performance responses in substitute basketball players during competition. Two basketball players from the second tier of the State League of Queensland, Australia volunteered for this study and were assessed for performance (countermovement jump—CMJ) and physiological (core temperature via ingestible pill; skin temperature at the arm, chest, calf and thigh; heart rate—HR) responses prior to and following a 20-min warm-up, and during the first half of a competitive basketball match (2 × 20-min real time quarters). Warm up resulted in increases in CMJ (~7%), HR (~100 bpm) and core (~0.8 °C) and skin (~1.0 °C) temperatures. Following the warm up and during inactivity, substitute players exhibited a decrease in all responses including CMJ (~13%), HR (~100 bpm), and core (~0.5 °C) and skin (~2.0 °C) temperatures. Rest resulted in reductions in key performance and physiological responses during a competitive match that poses a risk for match strategies. Coaches should consider implementing a warm up to enhance core/skin temperature for substitute players immediately before they engage with competition to optimise player performance

Cause of Death and Predictors of All-Cause Mortality in Anticoagulated Patients With Nonvalvular Atrial Fibrillation : Data From ROCKET AF

M. Kaste on työryhmän ROCKET AF Steering Comm jäsen.Background-Atrial fibrillation is associated with higher mortality. Identification of causes of death and contemporary risk factors for all-cause mortality may guide interventions. Methods and Results-In the Rivaroxaban Once Daily Oral Direct Factor Xa Inhibition Compared with Vitamin K Antagonism for Prevention of Stroke and Embolism Trial in Atrial Fibrillation (ROCKET AF) study, patients with nonvalvular atrial fibrillation were randomized to rivaroxaban or dose-adjusted warfarin. Cox proportional hazards regression with backward elimination identified factors at randomization that were independently associated with all-cause mortality in the 14 171 participants in the intention-to-treat population. The median age was 73 years, and the mean CHADS(2) score was 3.5. Over 1.9 years of median follow-up, 1214 (8.6%) patients died. Kaplan-Meier mortality rates were 4.2% at 1 year and 8.9% at 2 years. The majority of classified deaths (1081) were cardiovascular (72%), whereas only 6% were nonhemorrhagic stroke or systemic embolism. No significant difference in all-cause mortality was observed between the rivaroxaban and warfarin arms (P=0.15). Heart failure (hazard ratio 1.51, 95% CI 1.33-1.70, P= 75 years (hazard ratio 1.69, 95% CI 1.51-1.90, P Conclusions-In a large population of patients anticoagulated for nonvalvular atrial fibrillation, approximate to 7 in 10 deaths were cardiovascular, whereasPeer reviewe

Framing construction uses of virtual information models

Digital models incorporating 3D geometry and information attributes are becoming a standard for industrial facility and commercial building design. Despite the advancements in technologies to develop design models there is an opportunity to better leverage models within facility construction processes. The current work aims to identify the breadth of construction needs for using information models, and develop an approach to improve information accessibility to support construction. With a thorough literature review, the current work identifies the state-of-art workflows in using design content to support construction tasks. The existing gaps of using models for construction uses have also been captured, indicating the opportunities of better leveraging model content throughout construction process. Discussion of how a planning approach and implementation guidelines will be developed to advance model uses in construction will help conclude the paper.Non UBCUnreviewedFacultyOthe

Operationalizing emotional intelligence for team performance

This study explores the gaps in research on the link between emotional intelligence (EI) and team performance with respect to operationalizations (i.e., mean, standard deviation, maximum, minimum, and proportion). The concept of EI is not new, nor revolutionary for predicting job performance. Studies use disparate psychometric measurements and environments that obscure relationships between metrics and team performance. Student engineers (n = 294) were combined into 185 teams in a reoccurring course and analyzed using an exhaustive best subset regression technique that yields equations pertaining to the EI scales and their operationalizations to team performance. Operationalizations of EI matter towards an effective understanding of its relationship to team performance. All aggregation methods related to team performance for one or more EI main scales, excluding Interpersonal Skills and General Mood. Differences were noted between operationalizations and direction of significant EI main scales, suggesting that further exploration is required. Future researchers should consider (1) expanding operationalizations of EI to include standard deviations, maximums, minimums, and proportions to relate to team performance; (2) separating and exploring EI analyses based on task types; and (3) that the potential for EI predicting team performance exists but with limitations in an engineering context. Relevance to Industry: This research can aid managers on the relative importance of emotional intelligence in team performance. Although relationships are complex from various EI scales to predicting team performance, such information can assist the managerial and human systems communities by clarifying previously undefined nuances present in other psychometric literature

A relative energy prediction methodology to support decision making in deep retrofits

Various energy prediction tools and methods are widely used in the design process to reduce the energy consumption of buildings. It is also well known that not only the system selection but also the synergies of these critical system selection decisions have impact on building energy performance. However, these decisions are incorporated into simulations without synergies are considered early in design process. These late evaluations cannot go beyond the projection of energy performance that is already selected for design. Thus, this is a need for a decision support system that stimulates the integration of decisions to achieve higher levels of energy efficiency compared to considering individual measures. In the light of these indicators, this paper presents a critical review of energy conservation measures (ECM) used in retrofit project case studies. The individual impact of changes to these critical ECMs is modeled in EnergyPlus and eQuest. A simplified energy prediction methodology fed by a process model, and the possible synergies are presented. The prediction range is tested in three case studies with different energy performance levels. The calculation algorithm relies on determining individual system performance relative to the ASHRAE standard. This relative system performance evaluation is also useful in defining the scope of system retrofit by comparing options with the standard baseline. It assists collaborative design teams to evaluate the individual impact of system decisions and overall energy saving prediction rate earlier in the design of a variety of deep retrofit projects.Non UBCUnreviewedFacultyOthe