ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan +5 more
wiley +1 more source
Code-based refinement and finite element validation of punching shear design for reinforced concrete footings. [PDF]
Ors DM +3 more
europepmc +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Context Engineering for AI-Assisted Pharmacometrics: A Practical Tutorial. [PDF]
Pritchard-Bell A +3 more
europepmc +1 more source
Integration of Time-Varying Pharmacometric Modeling With Cox Regression for Time-to-Event Analysis in NONMEM. [PDF]
Lin CW, Chen PW, Doshi S, Dutta S.
europepmc +1 more source
Shaping Efficiency: Parametric Design for Schwedler Domes. [PDF]
Ibrahim AFAO +2 more
europepmc +1 more source
Whole-Body Dynamic Positron Emission and Computed Tomography (WBD-PET/CT): Latest Developments, Challenges and Opportunities. [PDF]
Vatalis A +6 more
europepmc +1 more source
Tree size and relative height interactions enhance generalized additive models for Chinese fir stem taper prediction. [PDF]
Chen W +5 more
europepmc +1 more source
Signal-Analytics Modeling of Fluorescence Time-to-Detection for <i>E. coli</i> in Treated Wastewater: A Joint Censoring and Sensor Model Approach. [PDF]
Haab CA +10 more
europepmc +1 more source
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Optimization on parametric model
NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems with large number of weights consume considerable storage and memory bandwidth. To address this limitation, pruning is an effective way to compress neural networks with high accuracy.
Fenfen Huang, Wenbin Yao
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