Results 21 to 30 of about 677,568 (372)

Aneurysm risk metrics and hemodynamics are associated with greater vessel wall enhancement in intracranial aneurysms

open access: yesRoyal Society Open Science, 2021
Vessel wall enhancement (VWE) in contrast-enhanced magnetic resonance imaging (MRI) is a potential biomarker for intracranial aneurysm (IA) risk stratification.
Sricharan S. Veeturi   +7 more
doaj   +1 more source

Titration in Canonical and Grand-Canonical Ensembles

open access: yesThe Journal of Physical Chemistry B, 2023
We discuss problems associated with the notion of pH in heterogeneous systems. For homogeneous systems, standardization protocols lead to a well defined quantity, which although different from Sørensen's original idea of pH, is well reproducible and has become accepted as the measure of the ``hydrogen potential".
Amin Bakhshandeh, Yan Levin
openaire   +3 more sources

Introducing a new Trusted Research Environment - the Safe Haven Artificial Platform (SHAIP).

open access: yesInternational Journal of Population Data Science, 2022
Objectives Scotland has an established Trusted Research Environment (TREs) through the Scottish Safe Haven Network. These Safe Havens traditionally service structured datasets, however, researchers increasingly require access to large multi-modal linked
Katie Wilde   +4 more
doaj   +1 more source

Modified Gamma-Based Model for Solving Low Mach Number Compressible Two Phase Flows

open access: yesJournal of Fluid Science and Technology, 2013
This paper presents some modifications of the gamma-based model developed by K.M. Shyue (J. Comput. Phys., 1998, 142, 208-242). In deriving process of the original model, pressure equilibrium and an isentropic condition are not involved explicitly ...
Junichi OOIDA, Kota NAKANO, Kohei NAGANE
doaj   +1 more source

Use of patient specific 3D printed neurovascular phantoms to simulate mechanical thrombectomy

open access: yes3D Printing in Medicine, 2021
Background The ability of the patient specific 3D printed neurovascular phantoms to accurately replicate the anatomy and hemodynamics of the chronic neurovascular diseases has been demonstrated by many studies.
Kelsey N. Sommer   +8 more
doaj   +1 more source

Canonical and Non-canonical Reelin Signaling [PDF]

open access: yesFrontiers in Cellular Neuroscience, 2016
Reelin is a large secreted glycoprotein that is essential for correct neuronal positioning during neurodevelopment and is important for synaptic plasticity in the mature brain. Moreover, Reelin is expressed in many extraneuronal tissues; yet the roles of peripheral Reelin are largely unknown.
Petra May, Hans H. Bock
openaire   +3 more sources

A pressure-based method for solving low Mach number two-phase flows with surface tension

open access: yesJournal of Fluid Science and Technology, 2015
We develop a pressure-based method using a mixture model for solving low Mach number compressible two-phase flows which contain surface tension, viscous stress, and heat conduction.
Takuya YOSHIMOTO, Junichi OOIDA
doaj   +1 more source

Revascularization Outcome Prediction for A Direct Aspiration-First Pass Technique (ADAPT) from Pre-Treatment Imaging and Machine Learning

open access: yesBrain Sciences, 2021
A direct aspiration-first pass technique (ADAPT) has recently gained popularity for the treatment of large vessel ischemic stroke. Here, we sought to create a machine learning-based model that uses pre-treatment imaging metrics to predict successful ...
Tatsat R. Patel   +11 more
doaj   +1 more source

An Image-Based Workflow for Objective Vessel Wall Enhancement Quantification in Intracranial Aneurysms

open access: yesDiagnostics, 2021
Background: VWE in contrast-enhanced magnetic resonance imaging (MRI) is a potential biomarker for the evaluation of IA. The common practice to identify IAs with VWE is mainly based on a visual inspection of MR images, which is subject to errors and ...
Sricharan S. Veeturi   +8 more
doaj   +1 more source

Sparse Random Signals for Fast Convergence on Invertible Logic

open access: yesIEEE Access, 2021
This paper introduces sparse random signals for fast convergence on invertible logic. Invertible logic based on a network of probabilistic nodes (spins), similar to a Boltzmann machine, can compute functions bidirectionally by reducing the network energy
Naoya Onizawa   +6 more
doaj   +1 more source

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