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228篇 您的检索式:作者名="DAYAN C"
    题名 作者 年代 出处 被引量
1Phase Ⅰ of cardiac rehabilitation:A new challenge for evidence based physiotherapy显示文摘Cardiac rehabilitation protocols applied during the inhospital phase(phaseⅠ)are subjective and their results are contested when evaluated considering what should be the three basic principles of exercise prescription:specificity,overload and reversibility.In this review,we focus on the problems associated with the models of exercise prescription applied at this early stage in-hospital and adopted today,especially the lack of clinical studies demonstrating its effectiveness.Moreover,we present the concept of'periodization'as a useful tool in the search for better results.Rafael Michel de Macedo JoséRocha Faria-Neto Costantino Ortiz Costantini Dayane Casali Andrea Pires Muller Costantino Roberto Costantini Katherine Athayde Teixeira de Carvalho Luiz César Guarita-Souza 2011World Journal of Cardiology2011,3,7:11
2Technical note Q-learning显示文摘Watkins C Dayan P 1992Machine Learning1992,8,:1
3Application of the SOS chromotest to 10 pharmaceutical agents显示文摘Dayan J Deguingand S Truzman C 1987Mutat Res1987,187,2:1
4Offsetting SurfaceBoundaries and 3-axis G-ouge-free Surface Machi- ning显示文摘Tang K Cheng C C Dayan Y 1995Computer- Aided Design1995,27,12:1
5Technical Note: Q-learning显示文摘Watkins C J C H Dayan P 1992Machine Learning1992,8,34:1
6Comparison of the rapeutic effects of sodium hyaluronate and corticosteroid injections on trapeziometacarpal joint osteoarthritis显示文摘Bahadir C Onal B Dayan VY 2009Clinical Rheumatology2009,,5:1
7Managerial Trust in New Product Development Pro- jects: Its Antecedents and Consequences 显示文摘DAYAN M BENEDETTO C A D COLAK M 2009R&D Management2009,39,1:1
8Technic note:Q-Learning 显示文摘Warkins C Dayan P 1992Machine Learning1992,,8:1
9Q-learning显示文摘Watkins J C H Dayan Peter 1992Machine Learning1992,8,:1
10Phytotoxicity of quassinoids : Physi- ological responses and structural requirements显示文摘Dayan F E Watson S B Galindo J C G Herndndez A D J McChesney J D Duke S O 1999Pesticide Biochemistry and Physiology1999,65,1:1
11Technical note: Q -leaming显示文摘Watkins C Dayan P 1992Machine Learning1992,,8:1
12Technical Report: Q-learning 显示文摘Watldns C J C H Dayan P 1992Machine Learning (S0885-6125)1992,8,3:1
13Q-learning显示文摘Watkins C J C H Dayan P 1992Machine learning1992,8,3:1
14Q-Learning 显示文摘Watkin C J Dayan P 1992Machine Learning1992,,8:1
15Defective suppressor function in CD4^+ CD25^+ T-cells from patients with type 1 diabetes显示文摘Lindley S Dayan C M Bishop A 2005Diabetes2005,54,1:1
16Q-learning 显示文摘Watkins C J C H Dayan P 1992Marching Learning1992,8,3:1
17Developmental model of de- pression applied to prenatal depression : Role of present and past llfe events, past emotional disorders and pregnancy stress 显示文摘Dayan J Creveuil C Dreyfus M 2010PloS one2010,5,12:1
18EPSPS gene amplification in glyphosate‐resistant Italian ryegrass ( Lolium perenne ssp. multiflorum ) from Arkansas显示文摘Reiofeli A Salas Franck E Dayan Zhiqiang Pan Susan B Watson James W Dickson Robert C Scott Nilda R Burgos 2012Pest. Manag. Sci2012,,9:1
19Q-learning显示文摘Watkins C J C H Dayan P 1992Machine Learning1992,8,3:1
20Natural products as sources for new pesticides 显示文摘Cantrell C L Dayan F E Duke S O 2012Joumal of Natural Products2012,75,6:1
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