Results 131 to 140 of about 551 (224)
Rheumatologic Manifestations of Patients With Type B Insulin Resistance
Objective The objectives of this study were to identify laboratory and clinical features associated with type B insulin resistance (TBIR), a rare condition caused by autoantibodies that inhibit the insulin receptor, most frequently occurring in the setting of systemic lupus erythematosus (SLE), and to increase awareness of this rare, life‐threatening ...
S. Amara Ogbonnaya +4 more
wiley +1 more source
Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review. [PDF]
Adugna A, Abebaw D, Abebaw A, Jemal M.
europepmc +1 more source
Characteristic Aroma Fingerprint Disclosure of Apples (<i>Malus</i> × <i>domestica</i>) by Applying SBSE-GC-O-MS and GC-IMS Technology Coupled with Sensory Molecular Science. [PDF]
Ma N, Zhu J, Wang H, Qian MC, Xiao Z.
europepmc +1 more source
On the stratification of the discriminant varieties [PDF]
openaire +2 more sources
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical frailty index (FI).
Grace Burns +2 more
wiley +1 more source
A Real-Time Mobile Robotic System for Crack Detection in Construction Using Two-Stage Deep Learning. [PDF]
Ogun E, Voeurn YA, Lee D.
europepmc +1 more source
Current Tracking Adaptive Control of Brushless DC Motors
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García +3 more
wiley +1 more source
DiffPhys: Enhancing Signal-to-Noise Ratio in Remote Photoplethysmography Signal Using a Diffusion Model Approach. [PDF]
Chen S +4 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

