Results 31 to 40 of about 431,343 (275)

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher   +8 more
wiley   +1 more source

Model-driven Scheduling for Distributed Stream Processing Systems

open access: yes, 2017
Distributed Stream Processing frameworks are being commonly used with the evolution of Internet of Things(IoT). These frameworks are designed to adapt to the dynamic input message rate by scaling in/out.Apache Storm, originally developed by Twitter is a ...
Shukla, Anshu, Simmhan, Yogesh
core   +1 more source

Production, maintenance and resource scheduling: A review

open access: yesEuropean Journal of Operational Research, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M. Geurtsen   +4 more
openaire   +2 more sources

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn   +4 more
wiley   +1 more source

Multi-resource-aware GPU shared dynamic resource scheduling

open access: yes2023 3rd International Conference on Networking Systems of AI (INSAI), 2023
Distributed machine learning is an effective method to solve the problem of large-scale data sets and complex model training, but it also faces challenges such as low resource utilization and low training efficiency. In order to improve these problems, this paper proposes a multi-resource-aware GPU shared dynamic resource scheduling scheme.
Zhang, Ying   +3 more
openaire   +1 more source

Characterizing Parental Concerns About Lasting Impacts of Treatment in Children With B‐Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker   +7 more
wiley   +1 more source

Two-Stage Genetic-Based Optimization for Resource Provisioning and Scheduling of Multiple Workflows on the Cloud Under Resource Constraints

open access: yesMathematics
Resource provisioning and scheduling are essential challenges in handling multiple workflow requests within cloud environments, particularly given the constraints imposed by limited resource availability. Although workflow scheduling has been extensively
Feng Li   +3 more
doaj   +1 more source

Dynamic Fractional Resource Scheduling versus Batch Scheduling [PDF]

open access: yesIEEE Transactions on Parallel and Distributed Systems, 2012
We propose a novel job scheduling approach for homogeneous cluster computing platforms. Its key feature is the use of virtual machine technology to share fractional node resources in a precise and controlled manner. Other VM-based scheduling approaches have focused primarily on technical issues or extensions to existing batch scheduling systems, while ...
Stillwell, Mark   +2 more
openaire   +3 more sources

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül   +2 more
wiley   +1 more source

Efficient Multi-Cluster Scheduling for Heterogeneous Workloads

open access: yesIEEE Access
As heterogeneous multi-cluster environments become increasingly prevalent in large-scale AI and data-intensive workloads, traditional scheduling strategies struggle to balance efficiency, scalability, and adaptability. This paper proposes a unified cross-
Xuemin Wang   +3 more
doaj   +1 more source

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