Results 81 to 90 of about 8,251,079 (331)
Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial Data
ISPRS International Journal of Geo-Information, 2016 Efficient processing of big geospatial data is crucial for tackling global and regional challenges such as climate change and natural disasters, but it is challenging not only due to the massive data volume but also due to the intrinsic complexity and ...
Zhenlong Li +4 more
doaj +1 more source
FEBS Open Bio, EarlyView.This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel +4 more
wiley +1 more source
Load prediction-based auto-scaling in a cloud-native environment
, 2020 To optimally benefit from the elasticity and scalability of the cloud, applications need to be able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner. This process is usually referred to as auto-scaling.
Kempen, Michiel
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FEBS Open Bio, EarlyView.Time‐restricted feeding (TRF) in mice increased liver fatty acid oxidation and decreased fatty acid biosynthesis. These alterations persisted when TRF was discontinued and the host was infected with Mycobacterium tuberculosis. Pre‐exposure to TRF did not alter tissue (lung and spleen) mycobacterial burden but significantly reduced CD3+ T cells in lungs
Ashish Gupta +7 more
wiley +1 more source
FEBS Open Bio, EarlyView.IGFBP4 knockdown (KD) impairs preadipocyte proliferation and is associated with IGF1R protein downregulation and attenuated AKT phosphorylation. The mechanisms by which IGFBP4 KD influences the IGF1R/AKT signaling pathway involve newly synthesized proteins and lysosomal degradation pathways. Created in BioRender.
Yujia Guo +6 more
wiley +1 more source
Model-Driven Machine Learning for Predictive Cloud Auto-scaling [PDF]
, 2019 Cloud provisioning of resources requires continuous monitoring and analysis of the workload on virtual computing resources. However, cloud providers offer the rule-based and schedule-based auto-scaling service.
Alipour, Hanieh
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Scaling and asymptotic scaling in the SU(2) gauge theory
, 1993 Fingberg J, Heller UM, Karsch F. Scaling and asymptotic scaling in the SU(2) gauge theory. Nuclear Physics, B. 1993;392(2):493-517.We determine the critical couplings for the deconfinement phase transition in SU(2) gauge theory on N(tau) x N(sigma)3 ...
Karsch, Frithjof +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Purpose Air pollution has been linked to several neurological conditions, including stroke and neurodegenerative diseases. Evidence regarding its association with multiple sclerosis (MS) remains conflicting, limited by small sample sizes. Methods PubMed, Embase, Scopus, and Cochrane controlled register of trials (CENTRAL) were searched on ...
Ahmad A. Toubasi, Thuraya N. Al‐Sayegh
wiley +1 more source
On demand elastic capacity planning for service auto-scaling
IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 2016 Cloud computing allows on demand elastic service scaling. The capability of a service to predict resource requirements for the next operational period defines how well it will exploit the elasticity of cloud computing in order to reduce operational costs.
Pavel Chuprikov +2 more
openaire +2 more sources
VM auto-scaling methods for high throughput computing on hybrid infrastructure
, 2015 Cloud computing provides on-demand resource provisioning and scalable resources dynamically for the efficient use of computing resources. Scientific applications recently need a very large number of loosely coupled tasks to be handled efficiently.
최지은 +4 more
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