The relative contribution of α‐ and β‐adrenergic sweating during heat exposure and the influence of sex and training status

2020 ◽  
Vol 29 (12) ◽  
pp. 1216-1224
Author(s):  
Tatsuro Amano ◽  
Naoto Fujii ◽  
Glen P. Kenny ◽  
Takeshi Nishiyasu ◽  
Yoshimitsu Inoue ◽  
...  

2016 ◽  
Vol 48 ◽  
pp. 472
Author(s):  
Rodrigo Ferrari ◽  
Gabriela Kothe ◽  
Luiz Fernando Kruel


1983 ◽  
Vol 15 (2) ◽  
pp. 184
Author(s):  
P. A. Farrell ◽  
A. B. Gustafson ◽  
J. J. Barboriak


2019 ◽  
Vol 101 (19) ◽  
pp. 1713-1723 ◽  
Author(s):  
Gregory S. Kazarian ◽  
Charles M. Lawrie ◽  
Toby N. Barrack ◽  
Matthew J. Donaldson ◽  
Gary M. Miller ◽  
...  


1988 ◽  
Vol 64 (1) ◽  
pp. 187-193 ◽  
Author(s):  
M. A. Tarnopolsky ◽  
J. D. MacDougall ◽  
S. A. Atkinson

The present study examined the effects of training status (endurance exercise or body building) on nitrogen balance, body composition, and urea excretion during periods of habitual and altered protein intakes. Experiments were performed on six elite bodybuilders, six elite endurance athletes, and six sedentary controls during a 10-day period of normal protein intake followed by a 10-day period of altered protein intake. The nitrogen balance data revealed that bodybuilders required 1.12 times and endurance athletes required 1.67 times more daily protein than sedentary controls. Lean body mass (density) was maintained in bodybuilders consuming 1.05 g protein.kg-1.day-1. Endurance athletes excreted more total daily urea than either bodybuilders or controls. We conclude that bodybuilders during habitual training require a daily protein intake only slightly greater than that for sedentary individuals in the maintenance of lean body mass and that endurance athletes require daily protein intakes greater than either bodybuilders or sedentary individuals to meet the needs of protein catabolism during exercise.



2013 ◽  
Vol 303-306 ◽  
pp. 2453-2457 ◽  
Author(s):  
Wu Chi ◽  
Qiu Shi Zhang ◽  
Liu Fan ◽  
Han Feng He ◽  
Ming Hong Su ◽  
...  

This paper introduces the basic concepts and characteristics of virtual reality technology briefly and analyzes the defects of the artificial guiding teaching of the current live working from the angle of skills and safety, combing the power grid’s physical characteristics and virtual reality techniques. By summing up the transmission live working running operating procedures, the methods and means of using virtual reality technology in the teaching and training of the transmission network for live working are proposed. Summary transmission live working training status and analyze the application prospect of the virtual reality technology in the power transmission network live working on the basis of summarizing the power transmission network live working training status. The transmission live working simulation training method brings a new look to the power companies and also does great benefit for the enhancement of the operators' skill level and the improvement of their security awareness of operating.



2002 ◽  
Vol 282 (3) ◽  
pp. E634-E642 ◽  
Author(s):  
Charlotte H. Steffensen ◽  
Carsten Roepstorff ◽  
Marianne Madsen ◽  
Bente Kiens

The resting content and use of myocellular triacylglycerol (MCTG) during 90 min of submaximal exercise [60% of peak oxygen uptake (V˙o 2 peak)] were studied in 21 eumenorrheic female and 21 male subjects at different training levels [untrained (UT), moderately trained (MT), and endurance trained (END)]. Males and females were matched according to theirV˙o 2 peak expressed relative to lean body mass, physical activity level, and training history. All subjects ingested the same controlled diet for 8 days, and all females were tested in the midfollicular phase of the menstrual cycle. Resting MCTG, measured with the muscle biopsy technique, averaged 48.4 ± 4.2, 48.5 ± 8.4, and 52.2 ± 5.8 mmol/kg dry wt in UT, MT, and END females, respectively, and 34.1 ± 4.9, 31.6 ± 3.3, and 38.4 ± 3.0 mmol/kg dry wt in UT, MT, and END males, respectively ( P < 0.001, females vs. males in all groups). Exercise decreased MCTG content in the female subjects by an average of 25%, regardless of training status, whereas in the male groups MCTG content was unaffected by exercise. The arterial plasma insulin concentration was higher ( P < 0.05) and the arterial plasma epinephrine concentration was lower ( P < 0.05) in the females than in the males at rest and during exercise. MCTG use was correlated to the resting concentration of MCTG ( P < 0.001). We conclude that resting content and use of MCTG during exercise are related to gender and furthermore are independent of training status.



2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Girish Singhal ◽  
Vikram Aggarwal ◽  
Soumyadipta Acharya ◽  
Jose Aguayo ◽  
Jiping He ◽  
...  

A robust method to help identify the population of neurons used for decoding motor tasks is developed. We use sensitivity analysis to develop a new metric for quantifying the relative contribution of a neuron towards the decoded output, called “fractional sensitivity.” Previous model-based approaches for neuron ranking have been shown to largely depend on the collection of training data. We suggest the use of anensembleof models that are trained on random subsets of trials to rank neurons. For this work, we tested a decoding algorithm on neuronal data recorded from two male rhesus monkeys while they performed a reach to grasp a bar at three orientations (45∘,90∘, or135∘). An ensemble approach led to a statistically significant increase of 5% in decoding accuracy and 25% increase in identification accuracy of simulated noisy neurons, when compared to a single model. Furthermore, ranking neurons based on the ensemble fractional sensitivities resulted in decoding accuracies 10%–20% greater than when randomly selecting neurons or ranking based on firing rates alone. By systematically reducing the size of the input space, we determine the optimal number of neurons needed for decoding the motor output. This selection approach has practical benefits for other BMI applications where limited number of electrodes and training datasets are available, but high decoding accuracies are desirable.



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