Results 131 to 140 of about 6,292,535 (287)
Multi-Automatic Guided Vehicle (AGVs) are core components of intelligent warehousing and logistics. In current deployments, storage locations are usually fixed, which decouples storage from vehicle scheduling and causes inefficient routing, congestion ...
Nengqi Zhang, Yihang Zhang, Jian Zhang
doaj +1 more source
Promoting Effective School Policies for Childhood Overweight & Obesity Prevention in Lebanon [PDF]
K2P Policy Briefs bring together global research evidence, local evidence and context-specific knowledge to inform deliberations about health policies and programmes.
Saleh, Rana +2 more
core
North American Delphi Consensus Study on Sinonasal Malignancy Survivorship Care
ABSTRACT Background Survival for patients with sinonasal cancers has improved over the past decades, but there are no dedicated survivorship guidelines for this cohort. Objective To understand experts’ priorities and perspectives on key survivorship tenets (surveillance, second tumor screening, toxicity, and symptom management).
Matheus Sewastjanow‐Silva +18 more
wiley +1 more source
Effects of an Inpatient Program on Medication Errors in Hospitalized People with Parkinson's Disease
Objective Hospitalized people with Parkinson's disease (PwP) face increased risks of medication errors and discharge to non‐home settings, both of which are associated with adverse outcomes. This study assessed differences in medication error rates and discharge outcomes before and after implementation of a dedicated inpatient program for hospitalized ...
Camila C. Piccinin +15 more
wiley +1 more source
The optimization of logistics routing and scheduling in supply chains is a critical challenge, particularly in dynamic environments characterized by fluctuating demand, traffic conditions, and stringent time-capacity constraints. Traditional optimization
Qiong Liu
doaj +1 more source
Multi-Robot Navigation System Design Based on Proximal Policy Optimization Algorithm
The more path conflicts between multiple robots, the more time it takes to avoid each other, and the more navigation time it takes for the robots to complete all tasks.
Ching-Chang Wong +2 more
doaj +1 more source
Path Planning for Unmanned Surface Vehicles with Strong Generalization Ability Based on Improved Proximal Policy Optimization. [PDF]
Sun P, Yang C, Zhou X, Wang W.
europepmc +1 more source
التصدي لأعباء سوء التغذية لدى الأطفال من خلال دور الحضانة في لبنان
موجز للسياسات الصحية العامة.يتضمن مراجع بيبليوجرافية (صفحات 22-27).K2P Policy Briefs bring together global research evidence, local evidence and context-specific knowledge to inform deliberations about health policies and programmes.
Abou Samra, Clara +3 more
core
Expert Perspective: Toward Treat‐to‐Target Management in Adult Idiopathic Inflammatory Myopathies
Treat‐to‐target (T2T) has transformed the management of several rheumatic diseases through predefined therapeutic goals, structured disease assessment, and timely treatment adjustment. Despite major advances in the understanding and treatment of idiopathic inflammatory myopathies (IIM), a formal T2T framework for adult IIM has not yet been established.
Shiri Keret +2 more
wiley +1 more source
Intelligent anti-jamming decision algorithm based on proximal policy optimization
The existing intelligent anti-jamming methods based on deep reinforcement learning are applied to space-ground TT&C and communication links, in which the deep neural network used for decision-making has a complex structure, and the resources of ...
MA Song +4 more
doaj +2 more sources

