Results 241 to 250 of about 84,386 (305)
This study demonstrates that combining the NCD Risk Calculator with the mFI‐5 enables more precise stratification of postoperative delirium risk in patients undergoing surgery for HCC. Patients classified as high risk by the combined model showed a markedly higher incidence of delirium than those in the intermediate‐ and low‐risk groups.
Kiyotaka Hosoda +9 more
wiley +1 more source
C-reactive Protein/Albumin Ratio in Septic Polytrauma: Predictive Marker or Concurrent Indicator? [PDF]
Panda CK, Karim HM.
europepmc +1 more source
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Harnessing normal-shear coupling in metabarriers for deep sub-wavelength underwater noise control. [PDF]
Dal Poggetto VF, Miniaci M.
europepmc +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
Isotropic fluid structures and role of non-metricity on their dynamics governed by an electric charge: A theoretical study. [PDF]
Naseer T +4 more
europepmc +1 more source
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Computational insight to optimize nanofluidic thermal transport management in octagonal enclosure with heat generating element by envisioning novel physical factors. [PDF]
Ullah A, Khan NZ, Bilal S, Riaz MB.
europepmc +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Parametric Modeling of Cochlear Electrode Arrays Using Design of Experiments and Finite Element Analysis (FEA). [PDF]
Alaboodi AS, Alsamri J.
europepmc +1 more source

