Results 71 to 80 of about 58,557 (260)
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
Unmet needs in the post-direct-acting antivirals era: The risk and molecular mechanisms of hepatocellular carcinoma after hepatitis C virus eradication [PDF]
Hepatitis C virus (HCV) infection is one of the major etiologies of hepatocellular carcinoma (HCC) with approximately 30% of HCC being due to HCV infection worldwide.
Chung-Feng Huang +3 more
doaj +1 more source
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Purpose To assess the relation between the fragility index (FI) and reverse fragility index (RFI) with the minimum number of patients needed to reverse statistical significance (e.g. henceforth termed the lost to follow‐up index (LTFI) and reverse LTFI (R‐LTFI), respectively) and apply machine learning to identify which trial parameters are most ...
Prushoth Vivekanantha +7 more
wiley +1 more source
SVR-based model to forecast PV power generation under differentweather conditions
SVR-based model to forecast PV power generation under differentweather ...
S Mekhilef (9885539) +6 more
core
Immersive virtual reality as a teaching tool in neuroanatomy: A scoping review
Abstract Basic core courses in various undergraduate programs, such as neuroanatomy, pose a challenge for students due to the large volume and complexity of the content. In this context, educational technologies such as immersive virtual reality (IVR), which allow students to actively interact with learning materials, offer a complementary pedagogical ...
Nathálya Gardênia de Holanda Marinho Nogueira +7 more
wiley +1 more source
Indonesian Crude Oil Price (ICP) Prediction Using Support Vector Regression Algorithm
Indonesian crude oil prices (ICP) experience fluctuating movements, influenced by several factors and other conditions that make ICP prices difficult to predict. ICP price prediction can be done with the Support Vector Regression (SVR) method.
Des Suryani, Mutia Fadhila
doaj +1 more source
Aims This study aimed to evaluate the acute effects of cannabidiol plus tetrahydrocannabinol (CBD+THC) and tetrahydrocannabinol (THC) oils on cardiovascular haemodynamics, respiratory muscle activity and peripheral tissue perfusion in healthy adults. Methods In this randomized, double‐blind, crossover trial, participants received orally administered ...
Edna Karla Ferreira Laurentino +9 more
wiley +1 more source

