Results 71 to 80 of about 5,548,935 (303)
ABSTRACT Background An earlier study on children diagnosed with acute lymphoblastic leukemia (ALL) at Moi Teaching and Referral Hospital (MTRH) in Kenya reported a low event‐free survival (EFS), excess treatment abandonment, and high induction mortality.
Gilbert Olbara +7 more
wiley +1 more source
Properties of optimal schedules in preemptive shop scheduling
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Philippe Baptiste +5 more
openaire +3 more sources
ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya +11 more
wiley +1 more source
Existing optimal scheduling methods cannot cover all unanticipated scenarios. To overcome this limitation, this paper proposes an optimal day-ahead scheduling method that considers extreme, unanticipated and dynamic-temporal scenarios.
SUN Junjie +5 more
doaj +1 more source
An optimal boundary fair scheduling [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Geoffrey Nelissen +5 more
openaire +4 more sources
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger +8 more
wiley +1 more source
To cope with the challenges due to increasing peak load, an optimal day-ahead scheduling problem for social welfare maximization is proposed, in which not only the comfort level of consumers and costs of power suppliers but also the power losses in ...
Xiong Hu, Zhi-Wei Liu
doaj +1 more source
Q-Learning Based Scheduling With Successive Interference Cancellation
This work studies the problem of scheduling using Q-learning, which is a reinforcement learning algorithm, in a Successive Interference Cancellation (SIC) - enabled wireless ad hoc network. Distributed Q-learning algorithm tries to find the best schedule
Ezgi Mete, Tolga Girici
doaj +1 more source
ABSTRACT Neurodevelopmental and neurocognitive difficulties are prevalent among individuals with sickle cell disease and warrant prompt identification and support. This Special Report provides an executive summary of standards and recommendations for surveillance, screening, and evaluation for development and cognition across the lifespan developed by ...
Alyssa M. Schlenz +12 more
wiley +1 more source
For the issues that the existing task scheduling scheme based on intelligent algorithms can’t obtain the optimal solution in cloud computing and inspired by nature symbiosis,a new task scheduling scheme based on improved particle swarm optimization(PSO ...
Linjie WANG
doaj +2 more sources

