Results 181 to 190 of about 5,322,533 (364)

A novel dynamic scheduling model for application in multimode approach. [PDF]

Sci Rep
Elqabli Z, Kamach O, Khatab A, Chater Y.
europepmc   +1 more source

Dynamic Resource Scheduling in Cloud Data Center [PDF]

, 2015
Yuan Zhang
openalex   +1 more source

Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment

Aging and Cancer, EarlyView.
Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey, Murilo Ramos Rocha, Cheyenne Palm, Vania Wang, Denys Balandin, Ethan Black, Kevin Y. Zhang, Fan Huang, Daniel J. Zabransky, Yash Chhabra, Mareike Peters, Gabriel Ghiaur, Ashani Weeraratna   +12 more
wiley   +1 more source

Hybrid approach for evaluating dynamic scheduling mechanisms in IoT cognitive sensors for enhanced network performance. [PDF]

Sci Rep
Khan MN, Shah M, Mahmood T, Chohan RT, Khan A.   +4 more
europepmc   +1 more source

Feasibility Study on the Reinforcement Learning for a Dynamic Scheduling Problem

, 2017
강장하
openalex   +1 more source

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon, Nathalie Picard, Valeria d'Andrea, Enchi Chang, Joseph Leffler, Eleonora Centofante, Matthew Taylor, Francesca Bardi, Francesca Cavicchiolo, Takao K. Hensch, Stefano Panzeri, Chinfei Chen, Michela Fagiolini   +12 more
wiley   +1 more source

Editorial Note: Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Interleukin‐6 as a Key Biomarker in Facioscapulohumeral Dystrophy: Evidence From Longitudinal Analyses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy type 1 (FSHD1) is a progressive neuromuscular disorder with no approved treatments. Identifying reliable biomarkers is critical to monitor disease severity, activity, and progression. Interleukin‐6 (IL‐6) has been proposed as a candidate biomarker, but longitudinal validation is limited ...
Jonathan Pini, Emanuela Martinuzzi, Sandra Dhifallah, Abderhmane Slioui, Angela Puma, Luisa Villa, Michele Cavalli, Andra Ezaru, Jérémy Garcia, Manuela Gambella, Federico Torre, Luca Jacopo Pavan, Nicolas Glaichenhaus, Sabrina Sacconi   +13 more
wiley   +1 more source

Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning. [PDF]

Sci Rep
Ren F, Liu H.
europepmc   +1 more source

Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling [PDF]

, 2019
Zijia Wang, Zhi‐Hui Zhan, Wei–Jie Yu, Ying Lin, Jie Zhang, Tianlong Gu, Jun Zhang   +6 more
openalex   +1 more source