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International REACH forgiveness intervention: a multisite randomised controlled trial
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Examining the Use of Machine Learning Algorithms to Enhance the Pediatric Triaging Approach
Published 2025-01-01“…Hussain J Aljubran,1 Maitham J Aljubran,2 Ahmed M AlAwami,1 Mohammad J Aljubran,3 Mohammed A Alkhalifah,4 Moayd M Alkhalifah,5 Ahmed S Alkhalifah,6 Tawfik S Alabdullah7 1College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; 2Pediatric Department, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia; 3Department of Energy Science & Engineering, Stanford University, Stanford, CA, USA; 4Emergency Medicine Department, Johns Hopkins Aramco Healthcare, Al-Hasa, Saudi Arabia; 5Neurology Unit, Neurosciences Institute, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia; 6Pediatric Department, Qatif Central Hospital, Al Qatif, Saudi Arabia; 7Pediatric Emergency Medicine, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi ArabiaCorrespondence: Hussain J Aljubran, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 34212, Saudi Arabia, Tel +966540800696, Email hussainjawad1420@gmail.com Maitham J Aljubran, Pediatric Department, King Faisal Specialist Hospital & Research Centre, Riyadh, 12212, Saudi Arabia, Tel +966544177737, Email mjmj77550@gmail.comPurpose: Triage systems play a vital role in effectively prioritizing patients according to the seriousness of their condition. …”
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Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI?
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Artificial Intelligence in Fetal and Pediatric Echocardiography
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Timelike boundaries in de Sitter JT gravity and the Gao-Wald theorem
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The Impact of Long-Term Nitrogen Addition on Microbial Community Composition in Three Hawaiian Forest Soils
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The coherent structure of the energy cascade in isotropic turbulence
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Hand size association with ulnar collateral ligament reconstruction in professional baseball players
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Treatment Planning Strategies for Interstitial Ultrasound Ablation of Prostate Cancer
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Analysis of Polarized Dust Emission Using Data from the First Flight of SPIDER
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Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
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JT gravity, KdV equations and macroscopic loop operators
Published 2020-01-01“…Abstract We study the thermal partition function of Jackiw-Teitelboim (JT) gravity in asymptotically Euclidean AdS2 background using the matrix model description recently found by Saad, Shenker and Stanford [ arXiv:1903.11115 ]. We show that the partition function of JT gravity is written as the expectation value of a macroscopic loop operator in the old matrix model of 2d gravity in the background where infinitely many couplings are turned on in a specific way. …”
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Technologies to embrace the sun: solarpunk-based project as an exploration for a just energy transition
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Implementing Workplace-Based Assessments at Scale: The SIMPL Approach
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