Results 171 to 180 of about 15,833,154 (197)

Emerging Regenerative Medicine for Spinal Cord Injury: Spinal Cord Organoids-on-a-Chip. [PDF]

Int J Mol Sci
Khan M, Choi H, Ahmad S, Lee S, Park JC, Han I.   +5 more
europepmc   +1 more source

Diffusion models enable high-fidelity prediction of fuel cell impedance spectrum from short time-domain profiles. [PDF]

Nat Commun
Yuan H, Tan D, Zhong Z, Zhu J, Ming P, Wei X, Dai H.   +6 more
europepmc   +1 more source

Design and Analysis of Dual-Polarized Frequency-Selective Metasurface for X-Band Notch Applications. [PDF]

Sensors (Basel)
Idrees M, Wong SW, He Y.
europepmc   +1 more source

Megakaryocytes in myelofibrosis: mechanisms of fibrotic niche remodeling and therapeutic implications. [PDF]

Biomark Res
Huang J, Yin X, Shi X, Yang X, Li R, Zhang X, Zhang Y, Tong H, Jin J, Huang J.   +9 more
europepmc   +1 more source

Spatiotemporal Immune-Fibroblast Crosstalk in Pulmonary Fibrosis: From Failed Repair to Fibrotic Niche Formation. [PDF]

Int J Biol Sci
Lu S, Zhang W, Zhao X, Feng C, Chen W, Shi Y, Fang J.   +6 more
europepmc   +1 more source

A Compact Dual-Band Frequency Selective Surface for Concurrent 5G and 6G Applications. [PDF]

Sensors (Basel)
Din IU, Khan D, Ahmed F, Albaden K, Denidni TA.   +4 more
europepmc   +1 more source

Implementation of smart metasurfaces for the Sub-6 GHz 5G wireless systems: design, optimization, and its synthesis for enhancing antenna's performance. [PDF]

Sci Rep
Behera BR, Paik H, Kumar JA, Alsharif MH, Saeed S, Yahya K.   +5 more
europepmc   +1 more source

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Identification of Cancer Cell Types by Electrical Impedance Spectroscopy Based on Principal Component Analysis Integrated With Equivalent Circuit Model (ECM-PCA)

IEEE Transactions on Biomedical Engineering
This study aims to enhance the identification of cancer cell types using electrical impedance spectroscopy (EIS) by introducing a novel analysis method, ECM-PCA, which integrates an equivalent circuit model with principal component analysis.The ECM-PCA method addresses the limitations of conventional PCA and kernel PCA (kPCA) in handling non-linear and
Ruimin Zhou, Daisuke Kawashima, Martin Wekesa Sifuna, Songshi Li, Iori Kojima, Masahiro Takei   +5 more
openaire   +3 more sources