Machine learning predicts pulmonary Long Covid sequelae using clinical data.

Long COVID is a multi-systemic disease characterized by the persistence or occurrence of many symptoms that in many cases affect the pulmonary system. These, in turn, may deteriorate the patient's quality of life making it easier to develop severe complications. Being able to predict this syndrome is therefore important as this enables early treatment.

Top-class women's soccer performance: peak demands and distribution of the match activities relative to maximal intensities during official matches.

The aims of the current study were to determine the most demanding passages of match play (MDP) and the distribution of match activities relative to maximum intensities during official matches in top-class women soccer players. Twenty-eight women players competing in European championship and international UEFA competitions were monitored during 38 official matches (277 individual samples). Maximum relative (m · min) total distance (TD), high-speed running (HSRD), very high-speed running (VHSRD), sprint, acceleration and deceleration distances were calculated across different durations (1-5, 10, 15, 90 min) using a rolling average analysis.

Association between match physical activity and neuromuscular characteristics in youth football.

Background: The aim of this study was to examine the associations between maximal and submaximal neuromuscular field tests, match physical activity levels and biological maturation in youth football players.

Methods: Sixty-four football players from under 14 to under 17 age groups were assessed. Players performed a repeated-sprint ability test, counter movement jump, 10-m, and 30-m sprint test, as well as an assessment of peripheral muscle function following a multi-stage incremental (i.

Sampling methods for renewable gases and related gases: challenges and current limitations.

Renewable gases, hydrogen and biomethane can be used for the same applications as natural gas: to heat homes, power vehicles and generate electricity. They have the potential to contribute to the decarbonisation of the gas grid. Hydrogen blending with existing natural gas pipelines is also proposed as a means to increase the performance of renewable energy systems.

Translation, cross-cultural adaptation and validation of the Italian version of the anterior cruciate ligament-return to sport after injury (ACL-RSI) scale.

Purpose: To translate and culturally adapt the anterior cruciate ligament-return to sport after injury (ACL-RSI) scale into Italian (ACL-RSI(IT)) and examine and evaluate the psychometric properties of the Italian version in individuals who have undergone anterior cruciate ligament (ACL) reconstruction.

Methods: The ACL-RSI was forward and back translated, culturally adapted and validated one hundred and twenty nine Italian individuals who had undergone ACL reconstruction (94 males, 35 females; age 28 ± 9 years). All patients completed the translated ACL-RSI, Knee injury and Osteoarthritis Outcome Score (KOOS), International Knee Documentation Committee subjective knee form (IKDC), Tampa Scale of Kinesiophobia (TSK) and the 12-item short form health survey (SF-12).