Background Prolonged sitting is associated with increased risk of chronic diseases. Workplace programs that aim to reduce sitting time (sit less) and increase physical activity (move more) have targeted desk-based workers in corporate and university settings with promising results. However, little is known about 'move more, sit less' programs for workers in other types of jobs and industries, s...

This study examined the effects of Sprint Interval Cycling (SIT) on muscle oxygenation kinetics and performance during the 30-15 intermittent fitness test (IFT). Twenty-five women hockey players of Olympic standard were randomly selected into an experimental group (EXP) and a control group (CON). The EXP group performed six additional SIT sessions over six weeks in addition to their normal trai...

in order to study the effects of pgpr application methods on proline and soluble sugars content of yarrow (achillea millefolium l.) under drought stress conditionsan experiment was performed at islamic azad university, yadegar-e-imam khomeini (rah) shahre-rey branch. this experiment was carried out in a split plot arrangement with randomized complete block design in three replications. experime...

Abstract Introduction Military operations frequently take place in complex, volatile, and ambiguous environments, where important information may be uncertain. These circumstances are often highly stressful, fatiguing due to sustained operations, shift work, sleep loss, the taxing nature of work. As a crucial part their preparation for leading U.S. Navy sailors, prospective executive officers (...

The purpose of this study was to compare the effects of sprint interval training (SIT) and continuous endurance training (CET) on selected anthropometric, aerobic, and anaerobic performance indices as well as the blood lipid profile, inflammatory and muscle damage markers in healthy young males. Fifteen recreationally active male volunteers (age: 21.7 ±2.2 years, body mass: 83.0 ±8.0 kg, body h...

We propose a novel adversarial multi-task learning scheme, aiming at actively curtailing the inter-talker feature variability while maximizing its senone discriminability so as to enhance the performance of a deep neural network (DNN) based ASR system. We call the scheme speaker-invariant training (SIT). In SIT, a DNN acoustic model and a speaker classifier network are jointly optimized to mini...