Results 61 to 70 of about 190,364 (297)

Cellular Snowballing: Cell Adhesion and Migration Drive the Self‐Assembly of Cell‐Microgel Biohybrid Spheroids

open access: yesAdvanced Science, EarlyView.
A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie   +7 more
wiley   +1 more source

COMPROMISE, OPTIMAL AND TRACTIONAL ACCOUNTS ON PARETO SET

open access: yesNauka ta progres transportu, 2010
The problem of optimum traction calculations is considered as a problem about optimum distribution of a resource. The dynamic programming solution is based on a step-by-step calculation of set of points of Pareto-optimum values of a criterion function ...
V. V. Lahuta
doaj  

Research of the two-criteria estimation method for linear regression models

open access: yesЦифровые модели и решения
The paper is devoted to the research of the two-criteria estimation method for linear regressions. The first criterion corresponds to the least absolute deviations, the second – to the non-strict ordinary least squares.
M.P. Bazilevskiy
doaj   +1 more source

Simple problems [PDF]

open access: yesProceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
10 pages, accepted at GECCO'17 as a poster paper (2 pages)
openaire   +2 more sources

Tetrastigma Hemsleyanum Polysaccharide Suppresses Triple‐Negative Breast Cancer by Disrupting the Hippo‐YAP/TEAD4‐PDIA4 Axis and Endoplasmic Reticulum Stress Adaptation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Triple‐negative breast cancer (TNBC) exhibits addiction to chronic endoplasmic reticulum (ER) stress, which sustains an aggressive metastatic phenotype through activation of the unfolded protein response (UPR). Here, we identify a previously unrecognized “ER‐stress addiction” axis in which the Hippo pathway effector TEAD4 directly ...
Yini Shang   +9 more
wiley   +1 more source

Breaking the Toughness‐Stretchability Trade‐Off in Hydrogels with Dynamic Hydrogen Bonding

open access: yesAdvanced Science, EarlyView.
A novel nanocomposite hydrogel architecture overcomes the inherent conflict between toughness and stretchability by integrating uniformly dispersed aminopropyl‐hybrid‐phyllosilicate nanosheets within a polyacrylamide matrix. This design leverages a dynamic hydrogen‐bonding network to facilitate efficient energy dissipation and self‐recovery.
Yining Gao   +3 more
wiley   +1 more source

Design Mode Analysis of Pareto Solution Set for Decision-Making Support

open access: yesJournal of Applied Mathematics, 2014
Decision making in engineering design problems is challenging because they have multiple and conflicting criteria and complex correlation between design parameters.
Satoru Hiwa   +2 more
doaj   +1 more source

Prederivatives of gamma paraconvex set-valued maps and Pareto optimality conditions for set optimization problems

open access: yesJournal of Inequalities and Applications, 2017
Prederivatives play an important role in the research of set optimization problems. First, we establish several existence theorems of prederivatives for γ-paraconvex set-valued mappings in Banach spaces with γ > 0 $\gamma>0$ .
Hui Huang, Jixian Ning
doaj   +1 more source

Evolved GANs for generating pareto set approximations

open access: yesProceedings of the Genetic and Evolutionary Computation Conference, 2018
Basque Government: IT-609-13, Spanish Ministry of Economy, Industry and Competitiveness: TIN2016-78365-R, University of the Basque Country: PIF16 ...
Unai Garciarena   +2 more
openaire   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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