Results 81 to 90 of about 69,187 (248)
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
The full-core fuel behavior of the Soluble Boron-Free (SBF) Small Modular Reactor (SMR) was analyzed and compared with conventional pressurized water reactors (PWRs) and Soluble Boron-Using (SBU) SMRs to evaluate unique pellet-cladding interaction (PCI ...
Chansoo Lee +5 more
doaj +1 more source
Photocarrier injection and the I-V characteristics of La0.8Sr0.2MnO3/SrTiO3:Nb heterojunctions
Oxide heterojunctions made of p-type L0.8Sr0.2MnO3 (LSMO) and niobium-doped n-type SrTiO3 (STO:Nb) have been fabricated by the pulsed laser deposition (PLD) technique and are characterized under UV light irradiation by measuring the current-voltage ...
Muraoka +7 more
core +1 more source
Speech Recognition with Cochlea‐Inspired In‐Sensor Computing
Traditional speech recognition methods rely on software‐based feature extraction that introduces latency and high energy costs, making them unsuitable for low‐power devices. A proof‐of‐concept demonstration is provided of a bioinspired tonotopic sensor for speech recognition that mimics the human cochlea, using a spiral‐shaped elastic metamaterial. The
Paolo H. Beoletto +4 more
wiley +1 more source
Objective: To investigate the clinical significance of serum cystatin C (Cys-C) and high-sensitivity C-reactive protein (hs-CRP) in coronary heart disease (CHD) patients undergoing percutaneous coronary intervention (PCI).
Zheng Tan, Li Li, Yi Ma, Xuebin Geng
doaj +1 more source
Introducing Quantitative Assessment of Michaelis Constant (K<sub>m</sub>) Accuracy. [PDF]
The Michaelis constant (Km) is often reported with misleading confidence when only standard errors are considered. The accuracy confidence interval (ACI) framework is adapted to Km by recasting velocity–substrate data as a binding isotherm, propagating systematic uncertainties in enzyme and substrate concentrations.
Wang TY +7 more
europepmc +2 more sources
Ultra-long range correlations of the dynamics of jammed soft matter [PDF]
We use Photon Correlation Imaging, a recently introduced space-resolved dynamic light scattering method, to investigate the spatial correlation of the dynamics of a variety of jammed and glassy soft materials.
Brambilla, Giovanni +10 more
core +3 more sources
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Background and aim Interventional cardiologists face challenges in managing chronic total occlusion (CTO) lesions, with conflicting results when comparing rotational atherectomy (RA) to conventional PCI.
Ahmed Abdelaziz +19 more
doaj +1 more source
Objectives. We compared local delivery of intracoronary eptifibatide via perfusion catheter to thrombus aspiration in primary PCI. Background. Perfusion catheter increases local concentration of the drugs at the culprit site and prolongs their residency ...
Mohamed A. Hamza +3 more
doaj +1 more source

