Results 61 to 70 of about 537,485 (280)
Inhibition of KDELR2 in a small fraction of tumor cells generates sustainable immunogenic cell death conditions within the tumor microenvironment. These conditions promote the regression of tumors in a T cell independent manner. During regression, macrophages prime T cells that subsequently provide systemic protection against recurrence. The potency of
Shakti P Pattanayak +6 more
wiley +1 more source
Robust Stability of a Class of Uncertain Lur'e Systems of Neutral Type
This paper deals with the problem of stability for a class of Lur’e systems with interval time-varying delay and sector-bounded nonlinearity. The interval time-varying delay function is not assumed to be differentiable.
W. Weera, P. Niamsup
doaj +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
This work designed an injectable metal‐drug supramolecular condensate formed from hafnium ions and alendronate (Hf‐ALN) and loaded with the COX‐2 inhibitor celecoxib (CXB) for synergistic radioimmunotherapy of postoperative osteosarcoma. Mechanistically, upon X‐ray irradiation, Hf enhances radiation energy deposition, ROS generation, and DNA damage ...
Tianhua Xiao +12 more
wiley +1 more source
Presentació equip Vilanova Formula Team
Presentació de l'equip de competició Vilanova Formula ...
EPSEVG Vilanova Formula Team
core +1 more source
Accurate numerical method for Liénard nonlinear differential equations
This study introduces a sixth order numerical method for solving Liénard second order nonlinear differential equations. First, the second order Liénard differential equation is transformed into a first order system of equations.
Gashu Gadisa Kiltu +1 more
doaj +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
One of the ways of transforming hypersurfaces in Riemannian manifold is to move their points along some lines. In Bonnet construction of geodesic normal shift, these points move along geodesic lines.
Ruslan A. Sharipov
doaj +1 more source
Evolutionary understanding of airfoil lift
This review attempts to elucidate the physical origin of aerodynamic lift of an airfoil using simple formulations and notations, particularly focusing on the critical effect of the fluid viscosity.
Tianshu Liu
doaj +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source

