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Purpose: The purpose of this research was to investigate the relationship between horizontal jump distance, 10 m time, and 30–40 m time in multi-sport athletes separated by sex and sprint speed. Methods: A total of 1352 athletes (742 males and 610 females) performed 40 m sprints, standing broad jumps (SBJs), and standing triple jumps (STJs). Data were separated by sex and then grouped as fast, average, and slow using the K-Means algorithm in three conditions (acceleration, max speed, and combined). Results: Regression models explained 84.01% of the variance (F(7,757) = 574.5, p < 0.001) for the 10 m times with mass, speed group, and sex as significant predictors and 88.51% of the variance (F = (7,757 = 841.6, p < 0.001) for the 30–40 m times with SBJ, STJ, speed group, sex, and the interaction of sex and group as significant predictors. Conclusions: These results suggest that when examining general athlete physical performance, horizontal jump tests and max speed sprint times can be used equivalently to stratify athletes. However, it is important to group athletes by speed and sex before being able to predict sprint ability from horizontal jump tests. Further, athlete mass is a significant factor in the prediction of acceleration ability but not maximum speed, and horizontal jumps were significant factors in the prediction of max speed but not acceleration. [ABSTRACT FROM AUTHOR]

Background: The critical power model (CPM) is used extensively in sports to characterize fitness by estimating anaerobic work capacity (W') and critical power (CP). Traditionally, estimates of CP and W' require repeated, time-consuming tests. Alternatively, a 3 min all-out test yields good estimates of W' and CP. However, adoption of the 3 min protocol for regular fitness monitoring is deterred by the mentally/physically strenuous nature of the test. Objective: We propose to examine an alternative single-session testing protocol that can accurately estimate critical power model parameters. Methods: Twenty-eight healthy competitive athletes (cyclists or triathletes) (mean ± SD: age: 38.5 ± 10.4 years, height: 177.9 ± 8.6 cm, mass: 73.4 ± 9.9 kg) participated in 5 sessions on a Lode cycle ergometer in isokinetic mode within a 2-week period. A 3 min all-out test (3MT) was conducted on the first visit to determine CPM parameters from which power outputs for 4 subsequent constant-power plus all-out tests (CPT) were selected to result in exhaustion in 1–10 min. The subjects were to maintain the prescribed power output as consistently as possible at their preferred race cadence. Once the power output could no longer be maintained for more than 10 s, the subjects were instructed to produce an all-out effort. Tests were terminated after power output fell to an asymptote which was sustained for 2 min. Results: The CPM parameters for all of the CPT durations were compared to the traditional CP protocol (significant parameter differences were identified for all CPT durations) and the 3MT (only CPT durations > 3 min were different [3–6 min test, p < 0.01; >6 min test, p < 0.01]). CPT does not estimate traditional CP and W' parameters well. However, the CPT with a duration < 3 min accurately estimates both parameters of a 3MT. Conclusion: Therefore, CPT has the capacity to serve as an alternative tool to assess CP parameters. [ABSTRACT FROM AUTHOR]

Background: Accurate linear sprint modelling is essential for evaluating athletes' performance, particularly in terms of force, power, and velocity capabilities. Radar sensors have emerged as a critical tool in capturing precise velocity data, which is fundamental for generating reliable force-velocity (FV) profiles. This study focuses on the fitting of radar sensor data to various sprint modelling techniques to enhance the accuracy of these profiles. Forty-seven university-level athletes (M = 23, F = 24; 1.75 ± 0.1 m; 79.55 ± 12.64 kg) participated in two 40 m sprint trials, with radar sensors collecting detailed velocity measurements. This study evaluated five different modelling approaches, including three established methods, a third-degree polynomial, and a sigmoid function, assessing their goodness-of-fit through the root mean square error (RMSE) and coefficient of determination (r2). Additionally, FV metrics (Pmax, F0, V0, FVslope, and DRF) were calculated and compared using ANOVA. Results: Significant differences (p < 0.001) were identified across the models in terms of goodness-of-fit and most FV metrics, with the sigmoid and polynomial functions demonstrating superior fit to the radar-collected velocity data. Conclusions: The results suggest that radar sensors, combined with appropriate modelling techniques, can significantly improve the accuracy of sprint performance analysis, offering valuable insights for both researchers and coaches. Care should be taken when comparing results across studies employing different modelling approaches, as variations in model fitting can impact the derived metrics. [ABSTRACT FROM AUTHOR]

The Critical Power Model (CPM) is key for assessing athletes' aerobic and anaerobic energy systems but typically involves lengthy, exhausting protocols. The 3 min all-out test (3MT) simplifies CPM assessment, yet its duration remains demanding. Exponential decay models, specifically mono- and bi-exponential functions, offer a more efficient alternative by accurately capturing the nonlinear energy dynamics in high-intensity efforts. This study explores shortening the 3MT using these functions to reduce athlete strain while preserving the accuracy of critical power (CP) and work capacity ( W ′ ) estimates. Seventy-six competitive cyclists and triathletes completed a 3MT on a cycle ergometer, with CP and W ′ calculated at shorter intervals. Results showed that a 90 s test using the bi-exponential model yielded CP and W ′ values similar to those of the full 3MT. Meanwhile, the mono-exponential model required at least 135 s. Bland–Altman and linear regression analyses confirmed that a 120 s test with the mono-exponential model reliably estimated CP and W ′ with minimal physical strain. These findings support a shortened, less-demanding 3MT as a valid alternative for CPM assessment. [ABSTRACT FROM AUTHOR]

The use of session rating of perceived exertion (sRPE) as a measure of workload is a popular athlete load monitoring tool. However, the nature of sRPE means the contribution of salient, sport-specific factors to athlete load in field sports is challenging to isolate and quantify. In rugby sevens, drivers of load include high-speed running and physical contact. In soccer and men's rugby, union acceleration/deceleration also influences load. These metrics are evaluated using data from global navigation satellite system (GNSS) sensors worn by athletes. Research suggests that sensor data methods for identifying load in men's rugby do not accurately quantify female athlete loads. This investigation examined how mass, contact, and accelerations and decelerations at different speeds contribute to load in women's rugby sevens. The study evaluated 99 international matches, using data from 19 full-time athletes. GNSS measures, RPE, athlete mass, and contact count were evaluated using a linear mixed-model regression. The model demonstrated significant effects for low decelerations at low and high speeds, mass, distance, and contact count explaining 48.7% of the global variance of sRPE. The use of acceleration/deceleration and speed from GNSS sensors alongside mass, as well as contact count, presents a novel approach to quantifying load. [ABSTRACT FROM AUTHOR]

Boat acceleration profiles can provide valuable information for coaches and practitioners to make meaningful technical interventions and monitor the determinants of success in rowing. Previous studies have used simple feature detection methods to identify key phases within individual strokes, such as drive onset, drive time, drive offset and stroke time. However, based on skill level, technique or boat class, the hull acceleration profile can differ, making robust feature detection more challenging. The current study's purpose is to employ the undecimated wavelet transform (UWT) technique to detect individual features in the stroke acceleration profile from a single rowing hull-mounted accelerometer. In this investigation, the temporal and kinematic values obtained using the AdMosTM sensor in conjunction with the UWT processing approach were strongly correlated with the comparative measures of the Peach™ instrumented oarlock system. The measures for stroke time displayed very strong agreeability between the systems for all boat classes, with ICC values of 0.993, 0.963 and 0.954 for the W8+, W4− and W1x boats, respectively. Similarly, the drive time was also very consistent, with strong to very strong agreeability, producing ICC values of 0.937, 0.901 and 0.881 for the W8+, W4− and W1x boat classes. Further, a Bland–Altman analysis displayed little to no bias between the AdMosTM-derived and Peach™ measures, indicating that there were no systematic discrepancies between signals. This single-sensor solution could form the basis for a simple, cost-effective and accessible alternative to multi-sensor instrumented systems for the determination of sub-stroke kinematic phases. [ABSTRACT FROM AUTHOR]

Deep integration of Asia into the global society necessarily affects wellbeing of local populations. This study proposes a notion of "extend capacities" to explain the relationships between individual globalization and subjective wellbeing among Asian populations in a context of increasing global integration. Using Amartya Sen's theory of human capacities as a point of departure, we advance a distinctive list of expanded capacities, which includes English ability, global exposure and foreign contacts via jobs. Empirical findings from our multilevel analysis of a large sample from 14 Asian countries show the consistent impact of mastering a global lingua franca on job satisfaction, perceived life accomplishment, and happiness. Global exposure also generates some favorable influences.

This review essay offers an institutional critique of the Stiglitz-Sen-Fitoussi Report. The notion of human capabilities and functionings advocated by the Report demonstrates an inspirational perspective to monitor human progress in quality of life (QoL). Several measurements the Report suggested remain inadequate. The personal diary techniques have some potential as it possesses strength in recording hedonic activities, but it is relatively weak in revealing eudaimonic experiences. The Report unfortunately mixes up outcome indicators of QoL at individual level and the higher-ordered, social institutions in mapping out causal processes of human wellbeing. Future researchers can contribute by concentrating on clarifying the plausible linkage between institutions and individual wellbeing in broad sense. There is much knowledge to be gained by researchers who ask questions of "how we can change" rather than answer to "what we can measure".

This cross-national investigation examines hypotheses derived from two major alternative perspectives on the determinants of trust in contemporary societies. Is a society's level of generalized trust a function of its ethnic composition, or of its type of governance and political system? The argument that social diversity (ethnic, linguistic, and religious) leads to lower levels of trust, at least in the short run, is assessed with cross-national data (N = 98). Two hypotheses derived from this perspective are not confirmed. The alternative rational governance argument, which holds that trust is a function of rational governance, stable democracy, and civil rights is also assessed. Three hypotheses derived from this political perspective reveal mixed results. The findings highlight the complex interplay of multiple factors in shaping a society's overall level of generalized trust.

The prevailing theorizing of globalization's influence of human well-being suggests to assess both the favorable and unfavorable outcomes. This study formulates a dialectical model, adopts a comprehensive globalization measure and uses a three-wave panel data during 1980-2000 to empirically test direct and indirect effects of global flows' human consequences. The outcomes from random effect modeling reveal significant positive impacts of political globalization, whereas economic and social globalization do not generate favorable influences when development level and regional differences are operated as controls. The overall globalization index is found to generate expected favorable influence on an overall human development index. Within developing countries, globalization's human influence was not as significant as in industrial countries, however. Several hypotheses about globalization's potential negative effects through increasing societal instabilities and reducing state power and social spending are not supported in analysis. It is concluded that globalization identified by increased global flows and exchanges contributes rather than hampers progress in human welfare.

This study attempts to evaluate the impacts of macro-structural factors on political freedom in developing countries (DCs). Political freedom is conceptualized as civil liberty and political rights the general population of a society can enjoy in influencing public policy. The Freedom House indexes are used as measures of freedom. In explaining the individual countries' differences in political freedom, this study considers the following factors: regime types, level of development, social structure, fractionalization, the state and military influence and external economic dependence. Empirical modeling of 118 DCs with regression techniques and ordered logit methods demonstrates that besides the regime effects, economic development generates favorable influence, while a large poor population and military spending produce negative impact on freedom. In the concluding section, we discuss the theoretical implications in comparative perspective.

Transient absorption in the Visible and in the deep-UV is performed on MAPbBr3 thin films with 3.1 eV pump excitation. The UV probe can access higher order transitions in the material exploring different high-symmetry points of the Brillouin zone. Uncorrelated electron-hole pairs are generated within the instrument response function of 150 fs. The photobleaching at 3.3 eV shows that electron cooling happens in ~ 1 ps.