Instability Functional Training: Evidence-Based Recommendations for Coaches

Principles for Training in Evidence-Based Psychology: Recommendations for the Graduate Curricula in Clinical Psychology

J. Gayle Beck, Department of Psychology, University of Memphis Louis G. Castonguay, Department of Psychology, Penn State University Andrea Chronis-Tuscano, Department of Psychology, University of Maryland E. David Klonsky, Department of Psychology, University of British Columbia Lata K. McGinn, Ferkauf Graduate School of Psychology, Yeshiva University Eric A. Youngstrom, Department of Psycholog...

WORKSHEET for PROPOSED Evidence-Based GUIDELINE RECOMMENDATIONS

STEP 1: STATE THE PROPOSAL. Revision to current statement. Existing guideline, practice or training activity, or new guideline: Revision to current guideline Check the blood glucose level during stabilization after resuscitation Step 1A: Refine the question; state the question as a positive (or negative) hypothesis. State proposed guideline recommendation as a specific, positive hypothesis. Use...

Coaching under pressure: mental skills training for sports coaches

How Evidence-Based Are the Recommendations in Evidence-Based Guidelines?

BACKGROUND Treatment recommendations for the same condition from different guideline bodies often disagree, even when the same randomized controlled trial (RCT) evidence is cited. Guideline appraisal tools focus on methodology and quality of reporting, but not on the nature of the supporting evidence. This study was done to evaluate the quality of the evidence (based on consideration of its int...

Practical Recommendations for Gradient-Based Training of Deep Architectures

Learning algorithms related to artificial neural networks and in particular for Deep Learning may seem to involve many bells and whistles, called hyperparameters. This chapter is meant as a practical guide with recommendations for some of the most commonly used hyper-parameters, in particular in the context of learning algorithms based on backpropagated gradient and gradient-based optimization....