منابع مشابه
The science of cycling: physiology and training - part 1.
The aim of this review is to provide greater insight and understanding regarding the scientific nature of cycling. Research findings are presented in a practical manner for their direct application to cycling. The two parts of this review provide information that is useful to athletes, coaches and exercise scientists in the prescription of training regimens, adoption of exercise protocols and c...
متن کاملSago supplementation for recovery from cycling in a warm-humid environment and its influence on subsequent cycling physiology and performance
This study determined whether sago porridge ingested immediately after exercise (Exercise 1) in warm-humid conditions (30 ± 1°C, 71 ± 4 % RH; 20 km·h-1 frontal airflow) conferred more rapid recovery, as measured by repeat performance (Exercise 2), compared to a control condition. Eight well-trained, male cyclists/triathletes (34 ± 9 y, VO2peak 70 ± 10 ml·kg-1·min-1, peak aerobic power 413 ± 75 ...
متن کاملRole of PP1 in the regulation of Ca cycling in cardiac physiology and pathophysiology.
Type 1 protein phosphatase (PP1) is a critical regulator of several cellular processes. In the heart, it mediates restoration of contractility to basal levels by dephosphorylating key phospho-proteins, after beta-adrenergic stimulation. PP1 is a holoenzyme consisting of its catalytic and regulatory subunits, which anchor the catalytic subunit to desired subcellular locations, define substrate s...
متن کاملPrevalence of Students’ Misconceptions in Cardiovascular Physiology, and the Role of Taking Physiology Courses
Introduction: The cases of misconceptions are intellectual models of phenomena that are different from accepted scientific models of the same phenomena. The purpose of this study was to investigate the prevalence of cardiovascular misconceptions among students, and evaluate the role of cardiovascular physiology courses in eliminating them. Methods: This descriptive study was performed on 348 u...
متن کاملArtificial neural networks: applications in pain physiology
Artificial neural networks (ANNs) are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the capability of ANN in predicting body behavior in pain-producing situations is evaluated. A three-layer back-propagation ANN is designed using MATLAB software. The inputs include the magnitude of stimulation in pain fibers, touch fibers and cen...
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ژورنال
عنوان ژورنال: Acta Physiologica
سال: 2012
ISSN: 1748-1708
DOI: 10.1111/j.1748-1716.2012.02446.x