Results 181 to 190 of about 10,696 (267)
Ascertaining cause-specific emergency department demand using forecast combinations. [PDF]
Guo P +9 more
europepmc +1 more source
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source
Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods. [PDF]
Rabie D, Moradi M, Xuan W, Farzaneh H.
europepmc +1 more source
Objective To evaluate whether extending the American College of Rheumatology–recommended monitoring interval for complete blood count and liver function tests in patients receiving methotrexate (MTX) affects timely detection of medication‐related toxicity.
Spencer Simko +4 more
wiley +1 more source
Probabilistic day-ahead forecasting of system-level renewable energy and electricity demand. [PDF]
Terrén-Serrano G +2 more
europepmc +1 more source
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
Probabilistic Bird Trajectory Forecasting with Heavy-Tailed Uncertainty Modeling for Low-Altitude Airspace Monitoring. [PDF]
Song F, Liu Z, Zhao Y, Zhu J.
europepmc +1 more source
Testing for ontological errors in probabilistic forecasting models of natural systems. [PDF]
Marzocchi W, Jordan TH.
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
ArchesWeatherGen: Skillful and compute-efficient probabilistic weather forecasting with machine learning. [PDF]
Couairon G +4 more
europepmc +1 more source

