Results 131 to 140 of about 61,394 (313)
Dynamic Scheduling of Contextually Categorised Internet of Things Services in Fog Computing Environment. [PDF]
Krivic P, Kusek M, Cavrak I, Skocir P.
europepmc +1 more source
Pattern driven dynamic scheduling approach using reinforcement learning
Production scheduling is critical for manufacturing system. Dispatching rules are usually applied dynamically to schedule the job in the dynamic job-shop. The paper presents an adaptive iterative scheduling algorithm that operates dynamically to schedule
Wei YZ(魏英姿) +3 more
core
Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley +1 more source
With the increasing demand for personalized services in the market, manufacturing enterprises are facing frequent emergency order insertion and equipment resource shortages, and traditional scheduling methods lack flexibility. This article focuses on the
Xuan Su +4 more
doaj +1 more source
Attention-Shared Multi-Agent Actor-Critic-Based Deep Reinforcement Learning Approach for Mobile Charging Dynamic Scheduling in Wireless Rechargeable Sensor Networks. [PDF]
Jiang C +6 more
europepmc +1 more source
Marginal productivity index policies for scheduling a multiclass delay-/loss-sensitive queue [PDF]
We address the problem of scheduling a multiclass M/M/1 queue with a finite dedicated buffer for each class. Some classes are delay-sensitive, modeling real-time traffic (e.g.
Niño-Mora, José +2 more
core
Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou +12 more
wiley +1 more source
Human–robot collaboration (HRC) offers transformative potential in construction to mitigate labor shortages and enhance productivity. Effective task scheduling between human workers and robots is essential for maximizing productivity and reducing ...
Fei Tian, Yantao Yu
doaj +1 more source
Dual Dynamic Scheduling for Hierarchical QoS in Uplink-NOMA: A Reinforcement Learning Approach. [PDF]
Li X, Cui Q, Zhai J, Huang X.
europepmc +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source

