Results 71 to 80 of about 1,093,917 (305)
IntroductionWhile training and competition load are well-documented risk factors for injury, the influence of dual-career loads, life stressors and overall load on both injury and illness remain less clear.
Kristina Drole +5 more
doaj +1 more source
The lack of training load control, mainly exercise intensity, is one of the main limitations of core stability (CS) programs, which makes the training individualization and the analysis of the dose-response relationship difficult.
Juan R. Heredia-Elvar +4 more
doaj +1 more source
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
The aim of this study was to examine the relationship between the external load (EL) and internal load among U15, U17, and U19 youth soccer players and to identify the factors best influencing the rating of perceived exertion (RPE) and session-RPE (s-RPE)
Krisztián Havanecz +6 more
doaj +1 more source
Predicting ratings of perceived exertion in Australian football players: methods for live estimation
The ability of machine learning techniques to predict athlete ratings of perceived exertion (RPE) was investigated in professional Australian football players.
Carey D. L. +4 more
doaj +1 more source
Monitoring training load: necessity, methods and applications [PDF]
Regular physical activity and participation in organized sports is important contributor to performance and for overall health and fitness in humans of various age range.
Mäestu, Jarek, Pind, Rasmus
core +2 more sources
Semiautomatic Training Load Determination in Endurance Athletes
Background: Despite endurance athletes recording their training data electronically, researchers in sports cardiology rely on questionnaires to quantify training load. This is due to the complexity of quantifying large numbers of training files. We aimed to develop a semiautomatic postprocessing tool to quantify training load in clinical studies ...
Christophe Dausin +11 more
openaire +5 more sources
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Meta-analyses have shown modest weight loss with physical training. Low training load can be one possible cause, however this has not yet been investigated.
RAQUEL SUELEN B. DA SILVA +8 more
doaj +1 more source
Introduction: Beside positive effects on athlete's health, competitive sport can be linked with an increased risk of illness and injury. Because of high relative increases in training, additional physical and psychological strains, and an earlier ...
Katharina Blume +3 more
doaj +1 more source

