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One‐Step Microfluidic Manufactured Fucose‐Decorated Sweetosomes Choose the Time and the Road for Their Intracellular Journey to Cancer Treatment

Advanced Healthcare Materials, EarlyView.
Sweetosomes, a new class of fucose‐decorated liposomes, are developed via a one‐step microfluidic process without surface chemistry. This study elucidates their main caveolae‐mediated entry and distinct endosomal trafficking. These nanostructures demonstrate superior endosomal escape, organelle acidity modulation, and prolonged plasma persistence ...
Mattia Tiboni, Mariele Montanari, Shiva Khorshid, Michele Verboni, Andrea Duranti, Simone Lucarini, Daniele Lopez, Annalisa Aluigi, Gianluca Morganti, Michele Menotta, Giovanna Panza, Daniel J. Klionsky, Barbara Canonico, Luca Casettari   +13 more
wiley   +1 more source

Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction

Advanced Healthcare Materials, EarlyView.
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang, Jingguo Qu, Tonghuan Xiao, Xinyang Han, Michael Tin‐Cheung Ying   +4 more
wiley   +1 more source

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Crossover for Cardinality Constrained Optimization

ACM Transactions on Evolutionary Learning and Optimization, 2022
To understand better how and why crossover can benefit constrained optimization, we consider pseudo-Boolean functions with an upper bound B on the number of 1-bits allowed in the length- n bit string (i.e., a cardinality constraint).
Tobias Friedrich 0001, Timo Kötzing, Aishwarya Radhakrishnan, Leon Schiller, Martin Schirneck, Georg Tennigkeit, Simon Wietheger   +6 more
openaire   +1 more source

Linearly constrained optimization

Computing, 1989
For linearly constrained optimization problems an algorithm is presented which is based on conjugate gradients. Theoretical considerations are not given. Some numerical tests demonstrate a good behaviour of the algorithm.
G. M. Ostrovsky, M. G. Ostrovsky, T. A. Berezinsky   +2 more
openaire   +1 more source

PESO+for Constrained Optimization

2006 IEEE International Conference on Evolutionary Computation, 2006
We introduce the PESO+algorithm (Particle Evolutionary Swarm Optimization Plus) for the solution of single objective constrained optimization problems. A novel feature introduced by PESO+is an external archive to store and retrieve “ tolerant” particles found at past tolerance values.
Angel Eduardo Muñoz Zavala, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Salvador Botello Rionda   +3 more
openaire   +1 more source

On Constrained Discontinuous Optimization

1998
In this paper we extend the results of Ermoliev, Norkin and Wets [8] and Ermoliev and Norkin [7] to the case of constrained discontinuous optimization problems. General optimality conditions for problems with nonconvex feasible sets are obtained. Easily implementable random search technique is proposed.
Ermoliev, Y.M., Norkin, V.I.
openaire   +2 more sources

Butterfly Constrained Optimizer for Constrained Optimization Problems

2018
An extension of the new optimization algorithm, butterfly optimizer (BO) for the constrained optimization problem is discussed in this paper. This version of BO is called butterfly constrained optimizer (BCO) which mimics the mate-locating behaviors of male butterfly and his behavior toward sunspots.
Abhishek Kumar, Tarun Maini, Rakesh Kumar Misra, Devender Singh   +3 more
openaire   +1 more source

Improved constrained ordinal optimization for simulation-based constrained optimization

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009
The performance optimization of many man-made systems belong to simulation-based constrained optimization (SBCO), where the evaluation of both the performance and the constraint have no closed form expression and are based on simulation. The simulation-based estimate of both the performance and the feasibility are usually time-consuming and noisy.
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Constrained optimal estimation and control

Automatica, 1997
The classical theories of the linear quadratic regulator and of the linear Gaussian estimator define the full gain matrix completely. However, many control and estimation problems would benefit from prescribing a different structure to the gain matrix. Typical is the case of the output feedback control, object of a wide literature since the 1970s.
ARDUINI, Carlo, CURTI, Fabio
openaire   +2 more sources