Results 151 to 160 of about 1,900 (308)

Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity

open access: yesAdvanced Science, EarlyView.
This work introduces a compact, low‐cost tabletop magnetic resonance elastography platform for high‐resolution viscoelastic mapping in soft‐tissue specimens. Using this method in human colorectal liver metastases, we demonstrate fully automated biomechanical profiling of treatment response and show that heterogeneity‐based metrics outperform ...
Weijie Zhao   +19 more
wiley   +1 more source

Network Equilibrium Problems With Vector Costs And Nonlinear Scalarization Methods

open access: yes, 2007
... this paper, we study a scalarization method for analyzing network equilibria problems with vector-valued cost function. The method is based on the smallest strictly monotone function previously proposed by Luc. Conditions which are both necessary and
C. J. Goh, X. Q. Yang, G.Y. Chen
core  

Dielectric‐Confinement‐Induced in‐Plane Photoelectric Anisotropy in Isotropic Quasi‐1D γ‐GaS Nanoribbon

open access: yesAdvanced Science, EarlyView.
We investigate the geometry‐governed optoelectronic anisotropy arising from dielectric confinement in quasi‐1D γ‐GaS nanoribbons with intrinsically isotropic atomic structures. Dielectric mismatch between the nanoribbon and its surroundings leads to a general polarization‐dependent photoresponse during near‐field scattering.
Jiawei Jing   +16 more
wiley   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

open access: yesAdvanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen   +3 more
wiley   +1 more source

Optimality and scalarization of robust approximate solutions for semi-infinite vector equilibrium problems

open access: yesJournal of Inequalities and Applications
This paper investigates the optimality conditions and scalarization theorems for robust approximate solutions to semi-infinite vector equilibrium problems with data uncertainty in the constraints.
Shan Cai, Xiaoping Li
doaj   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Effects of dark matter on the spontaneous scalarization in neutron stars

open access: yesEuropean Physical Journal C: Particles and Fields
Dark matter, an important portion of compact objects, can influence different phenomena in neutron stars. The spontaneous scalarization in the scalar-tensor gravity has been proposed for neutron stars.
Fahimeh Rahimi, Zeinab Rezaei
doaj   +1 more source

Electromagnetic source transformations and scalarization in stratified gyrotropic media [PDF]

open access: yes, 2009
It is known that with restrictions on the type of the constitutive equations, Maxwell’s equations in non-uniform media can sometimes be reduced to two 2nd order differential equations for 2 scalar quantities only.
De Visschere, Patrick
core  

On non linear scalarization in vector optimization

open access: yes, 1996
For a multiobjective concave optimization problem P linear scalarization holds in the sense that an efficient point for problem P turns out to be an optimal solution of a scalar problem whose objective function is a suitable weighted sum of objective ...
CAMBINI, ALBERTO   +5 more
core   +1 more source

Home - About - Disclaimer - Privacy