نتایج جستجو برای: qual

تعداد نتایج: 7995  

Journal: :Revista Limiar 2019

Journal: :Journal of Service Research 2005

Journal: :Estudos Avançados 2009

2017
William Thomson M. C. de Lima R. S. Costa

Apresentamos e comentamos o artigo homônimo de William Thomson, originalmente publicado em 1847, no qual o autor explora a analogia entre os estados de deformação em um sólido elástico e as configurações das linhas de força de Faraday. Nele Thomson introduz pela primeira vez o potencial vetorial magnético, associando-o à deformação rotacional de um sólido. Apresentamos também um apanhado histór...

Journal: :Journal of Cardiac Arrhythmias 2019

Journal: :Cadernos PROLAM/USP 2010

Journal: :Journal of research in health sciences 2010
Ali Vafaee Mohammad Vahedian Habibollah Esmaeily Khalil Kimiafar

BACKGROUND Users of hospital information system (HIS) use these systems dur-ing working day and know its problems better than others know. Studying their views is very important and can be espe-cially effective in the development of the in-formation system. The aim of this study was to investigate the users' views to-wards the qual-ity of hospital information system in the training hospitals of...

Journal: :Palliative & supportive care 2004
Karen E Steinhauser Elizabeth C Clipp Hayden B Bosworth Maya McNeilly Nicholas A Christakis Corrine I Voils James A Tulsky

OBJECTIVES To validate the QUAL-E, a new measure of quality of life at the end of life. METHODS We conducted a cross-sectional study to assess the instrument's psychometric properties, including the QUAL-E's associations with existing measures, evaluation of robustness across diverse sample groups, and stability over time. The study was conducted at the VA and Duke University Medical Centers,...

1995
Giuseppe Ateniese Carlo Blundo Alfredo De Santis Douglas R. Stinson

An extended visual cryptography scheme, (? Qual ; ? Forb ; m)-EVCS for short, with pixel \expansion" m, for an access structure (? Qual ; ? Forb) on a set of n participants, is a technique to encode n innocent looking images in such a way that when we stack together the transparencies associated to participants in any set X 2 ? Qual we get the secret message with no trace of the original images...

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