Predicting noncontact injuries of professional football players using machine learning.

Noncontact injuries are prevalent among professional football players. Yet, most research on this topic is retrospective, focusing solely on statistical correlations between Global Positioning System (GPS) metrics and injury occurrence, overlooking the multifactorial nature of injuries. This study introduces an automated injury identification and prediction approach using machine learning, leveraging GPS data and player-specific parameters.

Nutritional properties of common bean protein concentrate compared to commercial legume ingredients for the plant-based market.

There is an enormous demand to develop new sources of proteins, mainly to supply the growing plant-based food market worldwide, with the push for more sustainable and healthier products. The objective of this study was to evaluate the composition and the nutritional properties of commercial soybean, pea, and fava bean protein ingredients and compare them with an in-house ingredient (flour and protein concentrate), obtained from the main Brazilian cultivar of common bean (, Pinto bean). The protein content of the common bean concentrate (79.

Mental disorders and related factors in higher education professors working remotely: a correlational study.

Introduction: Recent changes in labor relations and the employment market in university education have posed significant challenges and increased workloads for faculty a situation that has been exacerbated by the global epidemiological status in 2020.

Objectives: To investigate the presence of mental disorders and associated factors in faculty members at a private university in São Paulo, Brazil.

Methods: This is a quantitative, descriptive, exploratory cross-sectional study conducted in June 2021, using online questionnaires to collect social and demographic and lifestyle data, namely, Self-Reporting Questionnaire (SRQ-20) and the Patient Health Questionnaire (PHQ-9).

Impact of sampling depth on CO flux estimates.

The exchange of trace gases between the atmosphere and the ocean plays a key role in the Earth's climate. Fluxes at the air-sea interface are affected mainly by wind blowing over the ocean and seawater temperature and salinity changes. This study aimed to quantify the use of CO partial pressure (pCO ) measurements at different depths (1, 5, and 10 m) in ocean surface layers to determine CO fluxes (FCO ) and to investigate the impacts of wind-sheltered and wind-exposed regions on the carbon budget.