Results 191 to 200 of about 8,709 (263)
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Materials and Methods Using data from a single center, we analyzed employment transitions, adjusted mean ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
Mid-term power load forecasting using an ensemble deep learning model with BKA and CWGAN-GP enhancements. [PDF]
Luo S, Chen X, Pang X, Wang B, Zheng Z.
europepmc +1 more source
Objective Hydroxychloroquine (HCQ) is the cornerstone of systemic lupus erythematosus (SLE) management with benefits extending beyond SLE control, including protection against atherosclerotic cardiovascular disease (ASCVD). Although HCQ blood levels reflect recent exposure and long‐term intake reflects medication adherence, the impact of longitudinal ...
Shivani Garg +5 more
wiley +1 more source
MTMF-Grid: A multi-task multi-modal fusion model for operational forecasting and decision support in power grids. [PDF]
Zhang D +5 more
europepmc +1 more source
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. This study
Sung‐A Kim +2 more
wiley +1 more source
Electricity consumption prediction using an advanced spatial-temporal deep learning framework. [PDF]
A Palan V, N S.
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
A Multi-Strategy Enhanced Whale Optimization Algorithm for Long Short-Term Memory-Application to Short-Term Power Load Forecasting for Microgrid Buildings. [PDF]
Qu L, Teng Q, Mai H, Chen J.
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
A novel reinforcement learning-based approach for short-term load and price forecasting in energy markets. [PDF]
Wu Y, Ma Y, Aliev H.
europepmc +1 more source

