Results 31 to 40 of about 17,331 (262)
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Fuzzy-Valued Intensity Measures for Near-Fault Pulse-Like Ground Motions
Two fuzzy-valued (FV) structure-specific intensity measures (IMs), one based on squared spectral velocity and the other on inelastic spectral displacement, are presented to characterize near-fault pulse-like ground motions for performance-based seismic design and assessment of concrete frame structures.
Hao Li, Wei-Jian Yi, Xian-Xun Yuan
openaire +1 more source
Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source
Neurovascular Contacts in the Pathophysiology of Neuralgic Amyotrophy: An Observational Study
ABSTRACT Objective Neuralgic amyotrophy (NA) is a prevalent, monophasic, multifocal immune‐mediated neuropathy. A distinctive characteristic of the disease is the occurrence of nerve or fascicle constrictions and torsions (NA‐associated focal nerve lesions, NAFL). The pathophysiology underlying this phenomenon remains to be fully elucidated.
Johannes Fabian Holle +4 more
wiley +1 more source
A hybrid method to identify pulse-like ground motions and pulse periods based on ST-CNN
The rapid and precise identification of the pulse-like ground motions is a key challenge that perplexes both the academic and engineering communities. The quantitative identification methods can overcome the empirical limitations of manual identification.
YU Haitao 1, 2, ZHU Chenyang 2, 3, FU Dabao 3, XU Naixing 3, LU Zhechao 3, CAI Huiteng 4
doaj +1 more source
Investigating the Capabilities of Ensemble Machine Learning Model in Identifying Near-Fault Pulse-Like Ground Motions [PDF]
In recent years, the detection and analysis of near-fault pulse-like ground motions have become increasingly crucial due to their potential to cause significant structural damage during seismic events.
Jafar Al Thawabteh +3 more
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
The spatial variation characteristics of near-fault velocity pulses lack in-depth understanding, and it is difficult to consider this feature in probabilistic seismic hazard analysis and the ground motion input for structural seismic analysis.
Zelin Cao +3 more
doaj +1 more source
Comparison between the Effects of Near- and Far-Fault Ground Motions on the Seismic Response of a Soil-Pile-Structure System [PDF]
Ground motions recorded in near-fault sites, where the rupture propagates toward the site, are significantly different from those observed in far-fault regions.
Saeed Abbasi Karafshani +2 more
doaj
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source

