Scientific Research Publishing

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53453#.VMWzECzQrzE Author(s)   Harold G. Koenig 1,2,3,4* , Bruce Nelson 5 , Sally F. Shaw 5 , Faten Al Zaben 6 , Zhizhong Wang 7 , Salil Saxena 8   Affiliation(s) 1 Department of Psychiatry & Behavioral Sciences, Duke University Medical Center, Durham, USA . 2 Department of Medicine, Duke University Medical Center, Durham, USA . 3 Department of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia . 4 School of Public Health, Ningxia Medical University, Yinchuan, China . 5 Department of Research, Glendale Adventist Medical Center, Glendale, USA . 6 Department of Psychiatry, King Abdulaziz University, Jeddah, Saudi Arabia . 7 Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China . 8 Center for Aging, Duke University, Durham, USA . ABSTRACT Objective: Our goal was to develop a comprehensive measur...

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52767#.VKNXlcnQrzE Author(s)      Olive Lennon , Catherine Blake Affiliation(s) School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland . ABSTRACT Background: Prevention strategies post-stroke should target risk factor reduction which includes consideration of weight, diet and lipoprotein profiles. Limited data informs the optimal adiposity measurement post-stroke to target those at highest recurrent risk. This study aims to identify adiposity measurement/s post-stroke that best predict cardiovascular and co-morbid risk. Subjects and Methods: 142 stroke patients (100 ...

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51140#.VFbcJ2fHRK0 Author(s)   Leonardo Barboni 1 , Maurizio Valle 2 Affiliation(s) 1 Facultad de Ingenieria, Universidad de la Republica, Montevideo, Uruguay . 2 Department of Naval, Electrical, Electronic and Telecommunications Engineering, University of Genova, Genova, Italy . ABSTRACT A great amount of work addressed methods for predicting the battery lifetime in wireless sensor systems. In spite of these efforts, the reported experimental results demonstrate that the duty-cycle current average method, which is widely used to this aim, fails in accurately estimating the battery life time of most of the presented wireless ...