Editorial     

Ian D. Selwood 《Education and Information Technologies》2007,12(4):189-190

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Activities in programmed instruction at the Southwest School for the Deaf     

H Murphy 《American annals of the deaf》1971,116(5):480-483

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Introduction     

Ian Winchester 《Interchange》1985,16(1):1-3

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Space characteristics of antennæ     

William H. Murphy 《Journal of The Franklin Institute》1926,201(6):798

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Development and validation of the moral disengagement in sport scale     

Boardley ID  Kavussanu M 《运动与训练心理学杂志》2007,29(5):608-628

A sport-specific measure of moral disengagement was developed in 2 studies. In Study 1, a 59-item questionnaire was developed and tested with 308 athletes from 5 team sports. A series of confirmatory factor analyses (CFA) testing different models suggested the model that best fitted the data had 6 first-order factors that could be represented by 1 second-order factor. Study 2 involved 305 athletes from the same 5 sports. CFA confirmed the 6-factor, second-order structure for the final 32-item measure. Results from Study 2 supported the construct validity of the scale, providing evidence for the factorial, concurrent, convergent, and discriminant validity. The Moral Disengagement in Sport Scale (MDSS) is proposed as a valid and reliable measure of moral disengagement for use in the sport context.  相似文献   

Scratching the Surface of the History of Military Medicine     

Ian Wilson 《Metascience》2009,18(2):285-287

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Book reviews     

E. D. Duryea  Neville Bennett  Sharom Ahmat  Dietrich Brandt  Lionel S. Lewis  Ian Woodburn  Claude E. Welch Jr.  Sheila Slaughter  Pierre L. van den Berghe  Doreen Harrison 《Higher Education》1980,9(2):227-237

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Book review     

Jon Lauglo  C. H. Dobinson  Wolfgang Mitter  Ian Lister  G. W. Parkyn  T. Neville Postlethwaite  R. Gardner  Walter Hahn  John Lowe  A. J. Cropley  Georges Belbenoit  Janusz J. Tomiak  Bill Halls 《International Review of Education/Internationale Zeitschrift für Erziehungswissenschaft/Revue internationale l'éducation》1976,22(1):107-126

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Considerations for protein intake in managing weight loss in athletes     

Caoileann H. Murphy  Amy J. Hector 《European Journal of Sport Science》2015,15(1):21-28

Abstract

A large body of evidence now shows that higher protein intakes (2–3 times the protein Recommended Dietary Allowance (RDA) of 0.8 g/kg/d) during periods of energy restriction can enhance fat-free mass (FFM) preservation, particularly when combined with exercise. The mechanisms underpinning the FFM-sparing effect of higher protein diets remain to be fully elucidated but may relate to the maintenance of the anabolic sensitivity of skeletal muscle to protein ingestion. From a practical point of view, athletes aiming to reduce fat mass and preserve FFM should be advised to consume protein intakes in the range of ～1.8–2.7 g kg^?1 d^?1 (or ～2.3–3.1 g kg^?1 FFM) in combination with a moderate energy deficit (?500 kcal) and the performance of some form of resistance exercise. The target level of protein intake within this recommended range requires consideration of a number of case-specific factors including the athlete's body composition, habitual protein intake and broader nutrition goals. Athletes should focus on consuming high-quality protein sources, aiming to consume protein feedings evenly spaced throughout the day. Post-exercise consumption of 0.25–0.3 g protein meal^?1 from protein sources with high leucine content and rapid digestion kinetics (i.e. whey protein) is recommended to optimise exercise-induced muscle protein synthesis. When protein is consumed as part of a mixed macronutrient meal and/or before bed slightly higher protein doses may be optimal.  相似文献   

Augmenting performance feedback does not affect 4 km cycling time-trials in the heat     

Mark Waldron  Vincent Villerius  Aron Murphy 《Journal of sports sciences》2015,33(8):786-794

We compared the effects of (1) accurate and (2) surreptitiously augmented performance feedback on power output and physiological responses to a 4000 m time-trial in the heat. Nine cyclists completed a baseline (BaseL) 4000 m time-trial in ambient temperatures of 30°C, followed by two further 4000 m time-trials at the same temperature, randomly assigning the participants to an accurate (ACC; accurate feedback of baseline) or deceived (DEC; 2% increase above baseline) feedback group. The total power output (PO) and aerobic (P_aer) and anaerobic (P_an) contributions were determined at 0.4 km stages during the time-trials, alongside measurements of rectal (T_rec) and skin (T_skin) temperatures. There were no differences (P > 0.05) in any of the variables between BaseL, ACC and DEC, despite increases (P < 0.05) in T_rec and T_skin. Typical pacing profiles were demonstrated; however, there was no interaction (P > 0.05) between feedback condition and time-trial stage. Providing surreptitiously augmented performance feedback to well-trained cyclists did not alter their performance or physiological responses to a 4000 m time-trial in a hot environment. The assumed influence of augmented performance feedback was nullified in the heat, perhaps reflecting a central down-regulation of exercise intensity in response to an increased body temperature.  相似文献