Results 91 to 100 of about 2,538,869 (297)

Translophagy—A potential link between autophagy impairment and translational errors

open access: yesFEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk   +11 more
wiley   +1 more source

Socially trusted collaborative edge computing in ultra dense networks

open access: yes, 2017
Small cell base stations (SBSs) endowed with cloud-like computing capabilities are considered as a key enabler of edge computing (EC), which provides ultra-low latency and location-awareness for a variety of emerging mobile applications and the Internet ...
Lixing Chen   +3 more
core   +1 more source

Research and prospect of 5G edge computing sharing

open access: yesDianxin kexue, 2020
The three application scenarios of 5G make forward higher requirements for network delay,bandwidth,connection and security,which drive 5G to sink the core capabilities of network,computing,storage and application to the edge of the network.The 5G base ...
Lingbin MENG, Juan LI, Nan XUE, Yong ZOU
doaj   +2 more sources

Computing network:a new multi-access edge computing

open access: yesDianxin kexue, 2019
Edge computing has become an important innovative business model in the 5G era,especially its low latency characteristics,which are considered to be unavailable in traditional solutions.Therefore,edge computing can provide more service capabilities and ...
Bo LEI   +4 more
doaj   +2 more sources

Towards Edge-Cloud Computing [PDF]

open access: yes2018 IEEE International Conference on Big Data (Big Data), 2018
In this paper, we propose edge-cloud computing as a new framework for organizing the data pipeline functions, i.e., acquisition, processing and analytics, in the Internet of Things systems. Edge-cloud computing consists of three layers, namely smart edge devices, fog computing layer and cloud computing layer.
openaire   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

Information-Centric Networking With Edge Computing for IoT: Research Challenges and Future Directions

open access: yesIEEE Access, 2018
Cloud computing is a paradigm that offers storage, computation, and software services on demand in the Cloud and far from end users. These services and computations are then extended to the Edge of the network with the Edge computing paradigm.
Rehmat Ullah   +2 more
doaj   +1 more source

Chiral separation of chloroalkanes with the chromatographic column onboard Martian rovers

open access: yesFEBS Letters, EarlyView.
Computer image of the Rosalind Franklin Rover of ESA's ExoMars mission. ExoMars is scheduled to land on planet Mars in Oxia Planum in 2029. This area represents an interesting spot to look for biosignatures. Investigations of ExoMars include measurement on molecular chirality. We show that chiral chloroalkanes, that have been identified on Mars, can be
Asma Merzougui   +4 more
wiley   +1 more source

Deep Learning and Edge Computing for Internet of Things

open access: yes
The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing ...

core   +1 more source

Small-Sample Motor Fault Identification via Fusion of Fixed-Resolution and Multiscale Time–Frequency Features

open access: yesMachines
Motor fault identification is often constrained by scarce labeled samples and the limited representation capability of a single time–frequency transform.
Jingyu Yang   +5 more
doaj   +1 more source

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