Results 61 to 70 of about 41,483 (313)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Subtotal hippocampal resection can leave residual hippocampal tissue, yet the immediate postoperative electrophysiologic evolution of such remnants is unknown. We describe a patient with drug‐resistant temporal lobe epilepsy in whom a hippocampal remnant was continuously monitored using a responsive neurostimulator (RNS) following subtotal ...
Patrick Hartnett +5 more
wiley +1 more source
Fire Safety Analysis of a Railway Compartment using Computational Fluid Dynamics [PDF]
, 2015 Trains are considered to be the safest on-land transportation means for both passengers and cargo. Train accidents have been mainly disastrous, especially in case of fire, where the consequences are extensive loss of life and goods.
Rao, Raj B. K. N. +5 more
core
Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions
Advanced Engineering Materials, EarlyView.This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi +5 more
wiley +1 more source
Improved integrate-and-fire model for RSA
Mathematical Biosciences and Engineering, 2007 A simple operational model of heart rate variability is described, accounting in particular for the respiratory sinus arrhythmia, and is fitted to some interbeat interval sequences recorded from normal subjects at rest. The model performance is evaluated using a test based on the nonlinear prediction approach.
Barbi M, A Di Garbo, R Balocchi
openaire +5 more sources
Advanced Functional Materials, EarlyView.Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
FIRE CHARACTERISTICS FOR ADVANCED MODELLING OF FIRES
Stavební obzor - Civil Engineering Journal, 2016 This paper summarizes the material and fire properties of solid flammable/combustible materials /substances /products, which are used as inputs for the computer numerical fire models. At the same time it gives the test standards for their determination.
openaire +2 more sources
Spike-Conducting Integrate-and-Fire Model [PDF]
eneuro, 2018 AbstractModeling is a useful tool for investigating various biophysical characteristics of neurons. Recent simulation studies of propagating action potentials (spike conduction) along axons include the investigation of neuronal activity evoked by electrical stimulation from implantable prosthetic devices.
Go Ashida, Waldo Nogueira
openaire +3 more sources
Potential of surrogate modelling for probabilistic fire analysis of structures
, 2021 The interest in probabilistic methodologies to demonstrate structural fire safety has increased significantly in recent times. However, the evaluation of the structural behavior under fire loading is computationally expensive even for simple structural ...
Chaudhary, Ranjit KumarUGent0001815980438020032138678020032141709759061869240000-0002-1104-5859223BBD1A-B7CD-11E9-99DD-DC1C5707D3EF +4 more
core +1 more source
Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats
Advanced Functional Materials, EarlyView.We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang +18 more
wiley +1 more source
Evaluation performances of different forest fire spread models using cellular automata (case study: The forests of Lakan district in Rasht) [PDF]
تحقیقات جنگل و صنوبر ایران, 2015 Accurate prediction of forest fire spread is crucial in minimizing its destructive effects. Forest fire depends on various factors e.g. topography, vegetation and climate.
Tahereh Ghaemi Rad, Mohammad Karimi
doaj +1 more source