Results 211 to 220 of about 4,651,346 (275)
A Deep Learning Approach for Autonomous Compression Damage Identification in Fiber-Reinforced Concrete Using Piezoelectric Lead Zirconate Titanate Transducers. [PDF]
Sapidis GM +4 more
europepmc +1 more source
Ionomycin suppresses cancer cell growth by disrupting mitochondrial transcription
In this study, we identify a new function for the selective Ca2+ ionophore, ionomycin, as an inhibitor of mitochondrial transcription. Both total and nascent RNA analyses revealed that ionomycin treatment reduces the transcription of mitochondrial genes.
Lishen Wang +10 more
wiley +1 more source
Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo +4 more
wiley +1 more source
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
wiley +1 more source
Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito +7 more
wiley +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
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Structural Dynamic Identification and Damage Detection
2022Dynamic methods are a powerful tool for studying the behaviour of existing structures and their health conditions. The practical application, however, often raises subtle questions related to the accuracy and completeness of experimental data, the complexity of the mechanical modelling and, ultimately, the inverse nature of the problems that leads to ...
Vestroni F., Morassi A.
openaire +2 more sources
A Damage Identification Procedure for Steel Truss
2020This paper addresses the problem of identifying structural damage affecting one element of a steel truss. The purpose is to detect damages in relation to their magnitude, location and extension. A planar model of a damaged steel truss is used to illustrate the procedure. The direct problem is addressed by FEM, proposing the local stiffness of a damaged
Crognale M. +3 more
openaire +2 more sources
System identification for damage detection in buildings
2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2018An algorithm for damage detection in a multi-story building modeled by a wave equation with Kelvin damping is presented. Damage detection is achieved by relating stiffness loss with reduction in the shear wave velocity of the seismic induced motion propagation through the structure.
Jesus Morales-Valdez +2 more
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Dynamic Characterization and Damage Identification
2011This chapter presents selected cases of modal parameter evaluation and damage identification, privileging the applied aspects. The identification of modal parameters is discussed through three experimental cases of masonry structures: a civil building, a monumental structure and a nineteenth century railway bridge.
VESTRONI, Fabrizio, PAU, Annamaria
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