Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response. [PDF]
Jiang X, Ma K, Wu J, Li Z.
europepmc +1 more source
Sensitivity Analysis Using a Reduced Finite Element Model for Structural Damage Identification. [PDF]
Yang Q, Peng X.
europepmc +1 more source
NKCC1: A key regulator of glioblastoma progression
Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen +5 more
wiley +1 more source
Concrete Damage Identification and Localization for Structural Health Monitoring Based on Piezoelectric Sensors. [PDF]
Li H +6 more
europepmc +1 more source
An Unsupervised Tunnel Damage Identification Method Based on Convolutional Variational Auto-Encoder and Wavelet Packet Analysis. [PDF]
Zhang Y, Xie X, Li H, Zhou B.
europepmc +1 more source
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
Damage Identification of Fiber-Reinforced Composite Thin Plate by Curvature Modal Shape Scanning Method. [PDF]
Chang Y +7 more
europepmc +1 more source
Overview of molecular signatures of senescence and associated resources: pros and cons
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
Advanced lightweight deep learning vision framework for efficient pavement damage identification. [PDF]
Dong S +5 more
europepmc +1 more source
Structural Response Prediction for Damage Identification Using Wavelet Spectra in Convolutional Neural Network. [PDF]
Moscoso Alcantara EA, Bong MD, Saito T.
europepmc +1 more source

