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RISS 인기검색어
- 검색키워드
- 저자 : Pradeep Dubey (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Smart Phone Applications as a Source of Information on Stroke
Divyanshu Dubey,Amod Amritphale,Anshudha Sawhney,Nupur Amritphale,Pradeep Dubey,Ambarish Pandey 대한뇌졸중학회 2014 Journal of stroke Vol.16 No.2
Background and Purpose: Smartphone applications have been increasingly identified as a novel platform for dissemination of healthcare related information. However, there have been no studies done to evaluate the availability and content of stroke related apps. Purpose: This study aims to identify and analyze stroke-related applications available on the Apple iTunes and Android Google Play Store. Methods: The Apple iTunes store and Android Google Play Store were searched for stroke-related applications on July 27, 2013 using keywords: stroke, brain attack, intracranial hem-orrhage, subarachnoid hemorrhage, cerebral infarction. The content of the applications was analyzed by two independent investigators. Results: A total of 93 relevant applications (46.2% android and 53.8% iPhone) were identified of which 47.3% were available free of cost. 92% of apps were identified as useful by users and over 60% had scientifically valid information. There is a significant participation of healthcare agencies in dissemination of stroke related information through apps with 47.3% apps being uploaded by them. Over half of all stroke related apps were aimed towards health care workers (51.6%), 75% of which could be utilized as bedside tools for patient care and remainder had information related to recent research advances. The difference in scientific validity between the apps aimed at general population versus healthcare professionals was statistically significant (P<0.01). There was no statistical association between cost of app and scientific validity or usefulness. Conclusions: Smartphone apps are a significant source of information related to stroke. An increasing participation of healthcare agencies should be encouraged to promote dissemination of scientifically valid information.
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Achieving One Billion Key-Value Requests per Second on a Single Server
Sheng Li,Hyeontaek Lim,Lee, Victor W.,Jung Ho Ahn,Kalia, Anuj,Kaminsky, Michael,Andersen, David G.,Seongil O,Sukhan Lee,Dubey, Pradeep IEEE 2016 IEEE micro Vol.36 No.3
<P>Distributed in-memory key-value stores (KVSs) have become a critical data-serving layer in cloud computing and big data infrastructure. Unfortunately, KVSs have demonstrated a gap between achieved and available performance, QoS, and energy efficiency on commodity platforms. Two research thrusts have focused on improving key-value performance: hardware-centric research has started to explore specialized platforms for KVSs, and software-centric research revisited the KVS application to address fundamental software bottlenecks. Unlike prior research focusing on hardware or software in isolation, the authors aimed to full-stack (software through hardware) architect high-performance and efficient KVS platforms. Their full-system characterization identifies the critical hardware/software ingredients for high-performance KVS systems and suggests optimizations to achieve record-setting performance and energy efficiency: 120~167 million requests per second (RPS) on a single commodity server. They propose a future many-core platform and via detailed simulations demonstrate the capability of achieving a billion RPS with a single server platform.</P>
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