UNASSIGNED: This systematic review was conducted to analyze the existing evidence on the effects of strength training (ST) and complex/contrast training (CCT) on repeated sprint ability (RSA) in team sports players.
UNASSIGNED: A systematic review of the literature was performed following the PRISMA statement. PubMed, Web of Science, and Scopus databases were used. Original full-text articles were analyzed, without date restriction until May 26, 2024, written in English, peer-reviewed, and for eligibility must have included (1) male or female team sports players, amateur or professional category, without age restriction (2) lower extremity ST and/or CCT program (3) active control group (4) running RSA test (e.g., repeated shuttle sprint ability test or straight-line repeated sprint ability test) before and after the intervention period (5) controlled trial.
UNASSIGNED: A total of 3,376 studies were identified and screened. Finally, 10 articles were included based on the inclusion and exclusion criteria, all with moderate methodological quality according to the PEDro scale. The best time, mean time, and total time presented significant pre and post-test changes, using ST in 3, 2, and 1 experimental groups, respectively, and using CCT in 1, 1, and 1 experimental groups, respectively, with almost no differences in the percentage decrement most commonly reported in RSA tests. There were no changes in the control groups.
UNASSIGNED: Together, ST performed in a range of maximal power provides benefits in the best time and mean time and performed between 80 to 95% of 1 repetition maximum (RM) provides benefits in the best time, mean time, and total time in RSA tests. CCT performed between 75 to 90% of 1 RM combined with jumps and sprints provides benefits in the best time, mean time, and total time in RSA test, but no unaltered percentage decrement in ST and CCT in elite and semi-professional team sport players.

The proper selection of cutting longwall winning machines for specific mining and geological conditions requires the development of an appropriate algorithm. The appropriate selection of a machine (shearer) is closely related to acquiring a high concentration of exploitation from the given longwall. That is indispensable, especially taking into consideration the growing cost of mining, as well as the depth of coal seams. In this article, an algorithm showing the selection of longwall winning machines has been presented. The algorithm has been created based on results of research on the processed coal\'s mechanical properties. Analysis of the mining process, especially in difficult conditions, shows that in order to define a drum longwall shearer\'s range of usage, the coal\'s properties which have a significant impact on the mining process must be determined. The above also influences the technique, technology and effectiveness of mining-they impact the effectiveness of the winning machines. In connection to this, the cutting heads should be chosen and designed based on those factors, as well as any performance forecasts. As representative values the following have been chosen: workability index (WUB), resistance to unidirectional compression (Rc), and energy consumption of the mining process (TE).

Public engagement with research (PEwR) has become increasingly integral to research practices. This paper explores the process and outcomes of a collaborative effort to address the ethical implications of PEwR activities and develop tools to navigate them within the context of a University Medical School. The activities this paper reflects on aimed to establish boundaries between research data collection and PEwR activities, support colleagues in identifying the ethical considerations relevant to their planned activities, and build confidence and capacity among staff to conduct PEwR projects. The development process involved the creation of a taxonomy outlining key terms used in PEwR work, a self-assessment tool to evaluate the need for formal ethical review, and a code of conduct for ethical PEwR. These tools were refined through iterative discussions and feedback from stakeholders, resulting in practical guidance for researchers navigating the ethical complexities of PEwR. Additionally, reflective prompts were developed to guide researchers in planning and conducting engagement activities, addressing a crucial aspect often overlooked in formal ethical review processes. The paper reflects on the broader regulatory landscape and the limitations of existing approval and governance processes, and prompts critical reflection on the compatibility of formal approval processes with the ethos of PEwR. Overall, the paper offers insights and practical guidance for researchers and institutions grappling with ethical considerations in PEwR, contributing to the ongoing conversation surrounding responsible research practices.

Intersectoral collaborations are recommended as effective strategies to reduce health inequalities. People most affected by health inequalities, as are people living in poverty, remain generally absent from such intersectoral collaborations. Community-based participatory research (CBPR) projects can be leveraged to better understand how to involve people with lived experience to support both individual and community empowerment. In this paper, we offer a critical reflection on a CBPR project conducted in public housing in Québec, Canada, that aimed to develop intersectoral collaboration between tenants and senior executives from four sectors (housing, health, city and community organizations). This single qualitative case study design consisted of fieldwork documents, observations and semi-structured interviews. Using the Emancipatory Power Framework (EPF) and the Limiting Power Framework (LPF), we describe examples of types of power and resistance shown by the tenants, the intersectoral partners and the research team. The discussion presents lessons learned through the study, including the importance for research teams to reflect on their own power, especially when aiming to reduce health inequalities. The paper concludes by describing the limitations of the analyses conducted through the EPF-LPF frameworks and suggestions to increase the transformative power of future studies.

BACKGROUND: Mediation analysis, often completed as secondary analysis to estimating the main treatment effect, investigates situations where an exposure may affect an outcome both directly and indirectly through intervening mediator variables. Although there has been much research on power in mediation analyses, most of this has focused on the power to detect indirect effects. Little consideration has been given to the extent to which the strength of the mediation pathways, i.e., the intervention-mediator path and the mediator-outcome path respectively, may affect the power to detect the total effect, which would correspond to the intention-to-treat effect in a randomized trial.
METHODS: We conduct a simulation study to evaluate the relation between the mediation pathways and the power of testing the total treatment effect, i.e., the intention-to-treat effect. Consider a sample size that is computed based on the usual formula for testing the total effect in a two-arm trial. We generate data for a continuous mediator and a normal outcome using the conventional mediation models. We estimate the total effect using simple linear regression and evaluate the power of a two-sided test. We explore multiple data generating scenarios by varying the magnitude of the mediation paths whilst keeping the total effect constant.
RESULTS: Simulations show the estimated total effect is unbiased across the considered scenarios as expected, but the mean of its standard error increases with the magnitude of the mediator-outcome path and the variability in the residual error of the mediator, respectively. Consequently, this affects the power of testing the total effect, which is always lower than planned when the mediator-outcome path is non-trivial and a naive sample size was employed. Analytical explanation confirms that the intervention-mediator path does not affect the power of testing the total effect but the mediator-outcome path. The usual effect size consideration can be adjusted to account for the magnitude of the mediator-outcome path and its residual error.
CONCLUSIONS: The sample size calculation for studies with efficacy and mechanism evaluation should account for the mediator-outcome association or risk the power to detect the total effect/intention-to-treat effect being lower than planned.

UNASSIGNED: Despite growing efforts to increase diversity in recruitment and to teach principles of diversity, equity, and inclusion (DEI), representation of individuals underrepresented in medicine continues to fall short. This demonstrates a need for efforts that target the work environment and culture to increase retention alongside existing recruitment initiatives. We designed this interactive allyship workshop with a focus on building skills necessary for being an ally that has been missing in existing allyship curricula.
UNASSIGNED: This workshop was led by multidepartmental faculty with experience in DEI training. Participants engaged in a number of interactive activities to reflect on their own identities and privilege and practiced ways to engage in difficult conversations. Prior to the workshop, participants completed a survey that was repeated at the workshop\'s completion to evaluate their perspective change and understanding of allyship. We also collected responses to a self-reflective exercise during the workshop.
UNASSIGNED: Participants included 68 anesthesia and surgery attendees, 53 of whom (78%) completed the postsurvey. Participants strongly agreed that this workshop was important to the workplace and medical training. Themes from the self-reflective exercises included endorsement of sponsorship and mentorship activities, community support, and advocacy.
UNASSIGNED: Interactive skill-building activities are important and effective at helping trainees develop as allies. Long-term follow-up is needed to assess longitudinal knowledge retention and translation into behavioral change to create a more inclusive and supportive work environment.

We investigated the techno-economic feasibility and power supply potential of enhanced geothermal systems (EGS) across the contiguous United States using a new subsurface temperature model and detailed simulations of EGS project life cycle. Under business-as-usual scenarios and across depths of 1-7 kilometers, we estimated 82,945 GW and 0.65 GW of EGS supply capacity with lower levelized cost of electricity than conventional hydrothermal and solar photovoltaic projects, respectively. Considering the scenario of flexible geothermal dispatch via wellhead throttling and power plant bypass, these estimates climbed up to 184,112 GW and 44.66 GW, respectively. The majority of EGS supply potential was found in the Western and Southwestern regions of the United States, where California, Oregon, Nevada, Montana, and Texas had the greatest EGS capacity potential. With advanced drilling rates based on state-of-the-art implementations of recent EGS projects, we estimated an average improvement of 25.1% in the levelized cost of electricity. These findings underscored the pivotal role of flexible operations in enhancing the competitiveness and scalability of EGS as a dispatchable renewable energy source.

Adolescence is a fundamental period for female athletes to develop athletic performance, mitigate injury risk, and gain collegiate sport scholarships, but there is also a high incidence of sport-related injuries. Physical profiling and athlete screening can support the individualisation of training programmes; however, there is a lack of data pertaining to the reliability of athletic performance and injury surrogate measures in adolescent female athletes. The aim of this study was to quantify the between-session reliability of an athletic performance and injury mitigation testing battery in female adolescent athletes. A total of 31 post-peak height velocity (PHV) (3.00 ± 0.82 years) female athletes (age: 16.20 ± 1.20 years; standing height: 166.00 ± 6.00 cm; mass: 65.5 ± 10.70 kg) from various sports (track and field = 1; lacrosse = 2; basketball = 2; soccer = 3; softball = 11; volleyball = 12) completed two sessions of a multicomponent testing battery 48 h to 1 week apart including the assessment of 33 measures addressing lower-limb isometric strength, eccentric strength, reactive strength, linear sprint and change of direction speed, and lower limb control. Of the 33 measures, between sessions, 29 had a high to nearly perfect intraclass correlation coefficient (ICC) (0.508-0.979), and 26 measures were not statistically significantly different between sessions (p ≤ 0.05). All measures demonstrated low to acceptable coefficient variation (CV%) (0.61-14.70%). The testing battery used can be utilised for recruitment and longitudinal monitoring within sports organisations for female adolescent athletes.

This study utilized a sample of 2052 participants from government and enterprise sectors to explore the distinct effects of power and sense of power on cognitive flexibility. It also delves into how the three dimensions of reward sensitivity and the comprehensive measure of punishment sensitivity mediate this relationship. The key findings are as follows: (1) There is no significant direct correlation between power and sense of power. (2) Both power and sense of power are substantial positive predictors of cognitive flexibility, with middle- and upper-level employees demonstrating significantly greater cognitive flexibility than their lower-level counterparts, and sense of power having a more pronounced positive influence than objective power. (3) Drive and fun-seeking mediate the relationship between sense of power and cognitive flexibility, yet only when sense of power is the independent variable. (4) No mediating effects are observed for the dimensions of reward sensitivity or punishment sensitivity when power is the independent variable. Exploring reward and punishment sensitivity in the context of power\'s influence on cognitive flexibility in real organizational settings is of paramount importance. This enhances our understanding of the intricate ways in which power dynamics shape individual behaviors and cognition across diverse cultural landscapes and provides actionable insights for refining organizational management and leadership strategies.

UNASSIGNED: Fluctuations of chronic pain levels are determined by a complex interplay of cognitive, emotional and perceptual variables. We introduce a pain tracking platform composed of wearable neurotechnology and a smartphone application to measure and predict chronic pain levels and its interplay with other dimensions of experience.
UNASSIGNED: Our method measures, dynamically and at home, pain strength, phenomenal and neural time series collected with an online tool and low-density EEG. Here we used data from a single participant who performed an attention task at home for a period of 20 days to investigate the role of attention to different bodily systems in chronic pain.
UNASSIGNED: We show a relationship between emotions and pain strength while allocating attention to the heartbeat, the breathing, the affected or the unaffected limb. We found that pain was maximal when attending to the affected limb and decreased when the participant focused on his breathing or his heartbeat. These results provide interesting insights regarding the role of attention to interoceptive signals in chronic pain. We found power changes in the delta, theta, alpha and beta (but not in the gamma) band between the four attention conditions. However, there was no reliable association of these changes to pain intensity ratings. Theta power was higher when attention was directed to the unaffected limb compared to the others. Further, the pain ratings, when attending to unaffected limb, were associated with alpha and theta power band changes.
UNASSIGNED: Overall, we demonstrate that our neurophysiology and experience tracking platform can capture how body attention allocation alters the dynamics of subjective measures and its neural correlates. This research approach is proof of concept for the development of personalized clinical assessment tools and a testbed for behavioural, subjective and biomarkers characterization.