Results 241 to 250 of about 76,334 (347)
The Fate of Western Headwaters: Climate Controls on Base‐Flow Decline
Abstract Headwater streams comprise nearly 88% of the western U.S. river network and supply most of the region's surface water, making them especially sensitive to warming, snowpack loss, and drought. As surface‐water inputs decline, groundwater increasingly sustains streamflow, elevating the need to understand long‐term trends in base flow and their ...
Caelum Mroczek +2 more
wiley +1 more source
Diagnostic value of serum biomarkers for identifying computed tomography abnormalities in male miners. [PDF]
Huang Q, Lai L, Diao J, Chen L, Fang B.
europepmc +1 more source
Abstract Perennial cellulosic bioenergy crops have the potential to control nutrient losses from agriculture while providing biomass for biofuel production. This study employed a rigorously calibrated Soil and Water Assessment Tool (SWAT) model to assess the effects of replacing conventional corn (Zea mays L.) with Miscanthus × giganteus and Alamo ...
Xiaoyu Zhang +9 more
wiley +1 more source
Case Report: Neuroendocrine-marker-negative high-grade neuroendocrine carcinoma mimicking squamous cell carcinoma: an underrecognized diagnostic pitfall. [PDF]
He W +5 more
europepmc +1 more source
Knowledge Distillation for Improving Deep Learning‐Based Hydrological Prediction and Fine‐Tuning
Abstract This paper introduces knowledge distillation (KD) as a method for improving deep learning (DL)‐based hydrological prediction. The performance of DL models, including long short‐term memory networks (LSTMs), is highly dependent on model structure and training data quality, posing challenges for transfer learning.
M. S. Jahangir +3 more
wiley +1 more source
Diagnostic performance of serum neuron-specific enolase for cranial ultrasound-detected brain injury in preterm neonates. [PDF]
Banjac B +4 more
europepmc +1 more source
Inter–Annual Variability of Model Parameters Improves Simulation of Annual Gross Primary Production
Abstract Parametric uncertainty can hinder land surface models (LSM) from accurately simulating carbon fluxes, such as gross primary production (GPP). These models generally cannot capture inter–annual variability (IAV) of fluxes well due to missing processes, and temporally varying parameters can partially alleviate this limitation.
Ranit De +18 more
wiley +1 more source

