Results 101 to 110 of about 36,326 (261)

An Efficient Trust-Aware Task Scheduling Algorithm in Cloud Computing Using Firefly Optimization. [PDF]

Sensors (Basel), 2023
Mangalampalli S, Karri GR, Elngar AA.
europepmc   +1 more source

From Adult to Adolescent: Alignment in Clinical Trials and Outcomes in Axial Spondyloarthritis

Arthritis Care &Research, EarlyView.
Spondyloarthritis (SpA) is a group of chronic inflammatory diseases encompassing axial and peripheral forms, with up to 20% of patients developing symptoms before age 16. Despite this substantial pediatric burden, treatment options for juvenile‐onset SpA (JSpA), particularly those with axial disease (axJSpA), remain limited.
Pamela F. Weiss, Judith A. Smith, Robert A. Colbert, Erin Treemarcki, Michael H. Weisman, Walter P. Maksymowych, Hermine I. Brunner, for the Childhood Arthritis and Rheumatology Research Alliance, Spondyloarthritis Research and Treatment Network, and Pediatric Rheumatology Collaborative Study Group Advisory Council   +9 more
wiley   +1 more source

Minimizing Makespan in Open-Shop Operating Room Scheduling Using Variants of Bat Algorithm

Proceedings of the International Conference on Applied Innovations in IT
Operational healthcare management faces growing pressure to develop efficient operating room scheduling systems because these systems require optimal resource management, minimum patient waiting times, and reduced operational expenses.
Tabark Nameer Abd Ali, Luma S. Hasan
doaj   +1 more source

Limited Duplication-Based List Scheduling Algorithm for Heterogeneous Computing System. [PDF]

Micromachines (Basel), 2022
Guo H, Zhou J, Gu H.
europepmc   +1 more source

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

An Improved Q-Learning-Based Sensor-Scheduling Algorithm for Multi-Target Tracking. [PDF]

Sensors (Basel), 2022
Qu Z, Zhao X, Xu H, Tang H, Wang J, Li B.   +5 more
europepmc   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Trust-aware dynamic level scheduling algorithm in cloud environment

Tongxin xuebao, 2014
Based on interpersonal trust model in sociology，a trust evaluation model is proposed based on users’ past experience with service provider，friends’ recommendations and third party’s feedback.By combining users’ trust requirement for service resource ...
Jie CAO, Guo-sun ZENG, Huo-wen JIANG, Hai-ying MA   +3 more
doaj   +2 more sources

Scheduling algorithm for electives

Academic Medicine, 1989
F E, Block, J B, Renner, J W, Craig
openaire   +3 more sources

Persistent Periodic Uplink Scheduling Algorithm for Massive NB-IoT Devices. [PDF]

Sensors (Basel), 2022
Wu TY, Hwang RH, Vyas A, Lin CY, Huang CR.   +4 more
europepmc   +1 more source