Results 101 to 110 of about 32,702 (254)
ABSTRACT This study addresses the need to understand human engagement with empathic Generative Artificial Intelligence (GenAI) digital companions (DC), as these systems increasingly fulfil social and emotional roles in daily life. Motivated by the rapid adoption of DC technologies and their potential to reshape human–AI relationships, the study applies
Aitor Ezker‐Galech +3 more
wiley +1 more source
Abstract Background Parkinson's disease (PD) is clinically heterogeneous, with substantial variability in motor and cognitive features. Conventional clinical scales provide limited insight into underlying neural mechanisms and show poor longitudinal stability.
Daniel Vered +4 more
wiley +1 more source
ABSTRACT We present p‐Brain, a modular, open‐source framework for reproducible, automated quantitative DCE‐MRI at scale. Rather than a fixed pipeline, p‐Brain is built from interchangeable stages (ingestion, T1/M0$$ {T}_1/{M}_0 $$ fitting, vascular and tissue ROI extraction, signal‐to‐concentration conversion, kinetic modeling, and quality control ...
Edis D. Tireli +5 more
wiley +1 more source
Diagnostic Yield of Post‐Mortem Fetal Micro‐CT for Thoracic Abnormalities
ABSTRACT Objective This study aims to identify the imaging findings specifically for thoracic anomalies in 1200 Micro‐CT cases, independent of whether the abnormality contributed to the main diagnosis or cause of death. Method We analyzed 1200 Micro‐CT scans in an unselected, consecutive cohort between 2017 and 2024 to identify thoracic anomalies ...
Ian C. Simcock +5 more
wiley +1 more source
Processing Human Colonic Pressure Signals by Using Overdetermined ICA
Independent component analysis(ICA)is a widely used method for blind source separation(BSS).The mature ICA model has a restriction that the number of the sources must equal to that of the sensors used to collect data,which is hard to meet in most ...
She-ping TIAN, Cheng PAN, Guo-zheng YAN
doaj
Independent component analysis (ICA) and method of estimating functions
Independent component analysis (ICA) is a new method of extracting independent components from multivariate data. It can be applied to various fields such as vision and auditory signal analysis, communication systems, and biomedical and brain engineering. There have been proposed a number of algorithms.
openaire
Diagnostic Yield of Post‐Mortem Fetal Micro‐CT for Abdominal and Pelvic Anomalies
ABSTRACT Objective(s) This study aims to document the abdominal and pelvic anomalies that can be demonstrated using post mortem Micro‐CT, independent of whether the anomaly contributed to the main diagnosis or cause of death. Methods We retrospectively analyzed 1200 whole body post‐mortem fetal Micro‐CT scans in an unselected, consecutive cohort ...
Ian C. Simcock +5 more
wiley +1 more source
Diagnostic Yield of Post‐Mortem Fetal Micro‐CT for Central Nervous System Abnormalities
ABSTRACT Objectives This study demonstrates the central nervous system (CNS) abnormalities detected using fetal post‐mortem micro‐focus computed tomography (Micro‐CT), independent of whether the abnormality contributed to the main diagnosis or cause of death.
Ian C. Simcock +5 more
wiley +1 more source
Ball‐milling promotes uniform POSS dispersion in the TPU matrix, markedly improving the mechanical performance of TPU‐POSS composites. ABSTRACT We synthesized TPU/POSS composites through a two‐step process involving the ball milling of POSS to reduce its particle size, followed by in situ polymerization of TPU to reinforce the material.
Sakrit Hait +2 more
wiley +1 more source
ABSTRACT The emergence of antibiotic resistance in bacteria is a major threat to global public health. To combat increasingly drug‐resistant bacteria like Pseudomonas aeruginosa, new targets for pharmaceuticals need to be explored. One such potential target for P.
Philipp Schneider +4 more
wiley +1 more source

