Results 121 to 130 of about 40,241 (208)
A data‐driven workflow for constructing a geometry‐aware lumped arterial stenosis model: Statistical shape modeling extracts geometry‐specific shape modes from synthetically generated coronary lesion geometries. Large‐scale 3D CFD simulations over varying Reynolds numbers yield the geometries their viscous (Kv) and inertial (Kt) loss coefficients. Then,
P. L. J. Hilhorst +6 more
wiley +1 more source
ABSTRACT Background Machine learning (ML) is increasingly used to analyse pain‐related data, emphasising how well variables classify individuals, that is, training an algorithm to assign people to predefined groups such as high versus low pain sensitivity, rather than focusing on p‐values.
Jörn Lötsch +2 more
wiley +1 more source
Feature engineering increases machine learning models' effectiveness for predicting cardiac disease across a wide range of datasets. This study focuses on critical engineering characteristics and their influence on model accuracy, emphasizing the significance of data preprocessing in generating dependable, cross‐source predictive healthcare solutions ...
Debashish Chandra Shil +5 more
wiley +1 more source
The Neural Organization of Visual Information in the Auditory Cortex of the Congenitally Deaf
Using fMRI and pRF modeling, we show that visual spatial information is represented in the auditory cortex of congenital deaf individuals through deactivation signals. These negative BOLD responses suggest a novel mechanism of cross‐modal plasticity.
Zohar Tal +5 more
wiley +1 more source
Abstract Flow cytometry‐based measurable residual disease (MRD) testing is routinely used in acute myeloid leukemia (AML), but methodologies need refinement to optimize assay characteristics. Here, we examined 1215 adults with AML or myelodysplastic syndrome/AML allografted in morphologic remission to study how the type(s) of leukemic blasts and degree/
Calvin M. Le +8 more
wiley +1 more source
Reconsidering climatic predictors for high‐resolution niche models of alpine plants
The increasingly acknowledged and consequently also better understood microclimatic variability in terrestrial ecosystems has motivated a call for finer spatial resolution in species distribution modelling, especially in the case of sedentary low‐stature organisms such as plants.
Kryštof Chytrý +15 more
wiley +1 more source
Heterogeneous biaxial testing for anisotropic elastic properties identification from full displacement field. ABSTRACT The stretch‐blowing process of PET bottles induces significant anisotropy in mechanical properties due to the differential elongation of macromolecular chains.
Thanh Tung Nguyen +3 more
wiley +1 more source
Missing Value Imputation With Adversarial Random Forests—MissARF
ABSTRACT Handling missing values is a common challenge in biostatistical analyses, typically addressed by imputation methods. We propose a novel, fast, and easy‐to‐use imputation method called missing value imputation with adversarial random forests (MissARF), based on generative machine learning, that provides both single and multiple imputation ...
Pegah Golchian +3 more
wiley +1 more source
Multiparametric quantification of bacterial cells using digital holographic microscopy. [PDF]
Cano Á +7 more
europepmc +1 more source
Dual‐function, Reusable, and Flexible Thermal Interface for Kinetic Monitoring of In Vitro Bioassays
This work presents a reusable, dual‐function thermal interface for non‐contact, label‐free sensing and microwell‐independent temperature control in microplates within a single element. Real‐time monitoring of E. coli growth and the response to antibiotic treatment demonstrates the sensor's enhanced sensitivity in interface‐dominated processes compared ...
Daniel Nieder +4 more
wiley +1 more source

