Results 171 to 180 of about 6,054 (242)
Root mixing effects on belowground decomposition depend on mycorrhizal type. [PDF]
Jiang L +8 more
europepmc +1 more source
ABSTRACT Introduction Raising concerns is essential to patient safety and professionalism in healthcare. Dental students and trainees, however, may encounter unique challenges in voicing concerns within clinical training environments. This study explores self‐reported confidence and perceived barriers in raising concerns among dental students and ...
Manal Matoug‐Elwerfelli +12 more
wiley +1 more source
Discovery of critical thresholds in mixed exposures and estimation of policy intervention effects. [PDF]
McCoy DB +3 more
europepmc +1 more source
Intelligent DRG Classification with ELGWO‐LightGBM. Abstract Diagnosis‐related group (DRG) classification is crucial for healthcare cost management and resource allocation, but traditional manual classification by physicians is inefficient and error‐prone, especially for large‐scale medical data.
Yanxi Zhang +3 more
wiley +1 more source
Climate Variability Under ENSO Reshapes the <i>Coffea arabica</i> Rhizosphere Microbiome While Preserving a Conserved Bacterial Core. [PDF]
Rueda Foronda JA +3 more
europepmc +1 more source
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo +5 more
wiley +1 more source
RTAS-Net: A ResNet-transformer-ASPP semantic segmentation network for remote sensing images. [PDF]
Wang Z, Li Y, Ma K.
europepmc +1 more source
Estimating Hierarchical Demand in Retail Operations
ABSTRACT A hierarchical structure over product attributes is a central input to many product assortment and inventory optimization models, yet no existing method can recover such structures from the aggregate sales data that retailers routinely collect.
Blair Flicker +3 more
wiley +1 more source
Explainable Machine Learning for Efficient Cocrystal Prediction: Leveraging Morgan Fingerprints to Decode Local Structure-Cocrystal Formation Relationships. [PDF]
Liu Y +5 more
europepmc +1 more source

