Results 91 to 100 of about 24,525,634 (237)

Leveraging Named Data Networking for Fragmented Networks in Smart Metropolitan Cities

open access: yesIEEE Access, 2018
A fragmented network is a phenomenon caused when a metropolitan area network is affected due to some natural calamities such as fire, earthquake, flood, and so on.
Omair Ahmad Khan   +7 more
doaj   +1 more source

Evaluation of Dried Plasma Spot‐Based Quantification of Glial Fibrillary Acidic Protein as a Disease‐Associated Biomarker in Neuromyelitis Optica Spectrum Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab   +19 more
wiley   +1 more source

Decision-making for in-network caching of Peer-to-Peer content chunks: an analytical modelling study [PDF]

open access: yes, 2014
In-network content caching has recently emerged in the context of Information-Centric Networking (ICN), which allows content objects to be cached at the content router side. In this paper, we specifically focus on in-network caching of Peer-to-Peer (P2P)
Howarth, Michael P.   +14 more
core   +1 more source

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai   +13 more
wiley   +1 more source

Managing scientific data with named data networking [PDF]

open access: yes, 2015
Many scientific domains, such as climate science and High Energy Physics (HEP), have data management requirements that are not well supported by the IP network architecture. Named Data Networking (NDN) is a new network architecture whose service model is
Fan, Chengyu   +11 more
core   +1 more source

Mapping the Social Network Structure and Composition of Black Individuals With Rheumatic and Musculoskeletal Conditions

open access: yesArthritis Care &Research, EarlyView.
Objective Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health‐related behaviors to inform future community‐based, peer‐led interventions. Methods We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social ...
Taussia Boadi   +27 more
wiley   +1 more source

Overview of future internet: named data networking

open access: yes, 2019
Recent development in mobile technology makes data traffic intensifies, due to the vast devices’ connectivity. Also, increases the needs for efficient and scalable distribution of data and services over the Internet.
Awang Nor, Shahrudin   +2 more
core   +1 more source

Sharing mHealth Data via Named Data Networking

open access: yes, 2016
his paper introduces NDNFit, a distributed mobile health (mHealth) application built to use the newly proposed Named Data Networking (NDN) architecture instead of TCP/IP. The design is inspired by the Open mHealth ecosystem.
Wang, Zhehao   +13 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

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