Results 41 to 50 of about 136,513 (302)
Posteriori Modelling of Fire Test One [PDF]
, 2007 Chapter 11 in the book: The Dalmarnock Fire Tests: Experiments and Modelling, Edited by G. Rein, C. Abecassis Empis and R. Carvel, Published by the School of Engineering and Electronics, University of Edinburgh, 2007.
Jahn, Wolfram +2 more
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Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz +3 more
wiley +1 more source
Fire resistance testing of fire doors
, 2022 Fire-resistant doors are widely used as part of passive fire protection systems, preventing the spread of fire and smoke beyond the fire compartment. Fire resistance is usually determined through standard fire tests in accredited laboratories, such as the Laboratory for thermal technique and fire protection in Institute IMS, Serbia. Current regulations
Ilić, Snežana +2 more
openaire +1 more source
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
VERIFICATION AND VALIDATION OF NUMERICAL MODEL OF FIRE AND SMOKE DEVELOPMENT IN RAILWAY TUNNEL
Acta Polytechnica, 2016 The paper describes verification and validation of numerical model of fire and smoke development in a railway tunnel carried out in numerical code Fire Dynamic Simulator.
Kamila Cabová, František Wald
doaj +1 more source
Testing of aluminium composite panels in a cone calorimeter: A new specimen preparation method
Polymer Testing, 2022 Fire testing data consistency and repeatability are essential for regulatory scrutiny, product development, and fire modelling of the lightweight cladding system.
Md Delwar Hossain +7 more
doaj +1 more source
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 Technology, 1981 Propagation is perhaps the most alarming characteristic of a fire. Rate of advance is an extremely important factor in determining the likelihood of escape from a burning building and the ability of fire protection systems to protect property.
openaire +2 more sources
Developments in modelling of composite building structures in fire [PDF]
, 2002 Some concern has been expressed that the load capacity of corner columns might be reduced in fire due to the expansion of unprotected fire-exposed connected beams, even through the columns themselves are protected from fire.
Cai, Jun
core
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