Results 101 to 110 of about 3,175,086 (283)

Application of a linear interpolation algorithm in radiation therapy dosimetry for 3D dose point acquisition. [PDF]

Sci Rep, 2023
Guo Y, Li B, Li Y, Du W, Feng W, Feng S, Miao G.   +6 more
europepmc   +1 more source

Paclitaxel induces NM2‐dependent cellular contraction through GEF‐H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells

Molecular Oncology, EarlyView.
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez, Rafael Pérez‐Díaz, Hugo Ramos‐Solano, Marina Garrido‐Casado, Vanessa C. Talayero, Miguel Vicente‐Manzanares   +5 more
wiley   +1 more source

Sampling Theorems Associated with Offset Linear Canonical Transform by Polar Coordinates

Fractal and Fractional
The sampling theorem for the offset linear canonical transform (OLCT) of bandlimited functions in polar coordinates is an important signal analysis tool in many fields of signal processing and optics.
Hui Zhao, Bing-Zhao Li
doaj   +1 more source

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

Rosendaal linear interpolation method appraising of time in therapeutic range in patients with 12-week follow-up interval after mechanical heart valve replacement. [PDF]

Front Cardiovasc Med, 2022
Zhu X, Xiao X, Wang S, Chen X, Lu G, Li X.   +5 more
europepmc   +1 more source

Analysis of relaxation time dependences on influencing factors in conducting oxides based on SnO2:Sb

Известия высших учебных заведений. Поволжский регион: Физико-математические науки
Background. Transparent conducting oxides (TCOs) based on SnO₂:Sb are promising materials for transparent electrodes in optoelectronic devices. Understanding the mechanisms of charge carrier conductivity and relaxation in these materials is crucial for ...
T.O. Zinchenko, E.A. Pecherskaya, V.D. Krevchik, I.A. Rubtsov, D.V. Yakushov, V.S. Aleksandrov   +5 more
doaj   +1 more source

Interpolation in Linear Logic and Related Systems

ACM Transactions on Computational Logic
We prove that there are continuum-many axiomatic extensions of the full Lambek calculus with exchange that have the deductive interpolation property. Further, we extend this result to both classical and intuitionistic linear logic as well as their multiplicative-additive fragments.
Wesley Fussner, Simon Santschi
openaire   +4 more sources

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Stable, simultaneous and proportional 4-DoF prosthetic hand control via synergy-inspired linear interpolation: a case series. [PDF]

J Neuroeng Rehabil, 2021
Lukyanenko P, Dewald HA, Lambrecht J, Kirsch RF, Tyler DJ, Williams MR.   +5 more
europepmc   +1 more source

A Linear Interpolation and Curvature-Controlled Gradient Optimization Strategy Based on Adam

Algorithms
The Adam algorithm is a widely used optimizer for neural network training due to efficient convergence speed. The algorithm is prone to unstable learning rate and performance degradation on some models. To solve these problems, in this paper, an improved
Haijing Sun, Wen Zhou, Yichuan Shao, Jiaqi Cui, Lei Xing, Qian Zhao, Le Zhang   +6 more
doaj   +1 more source