Results 81 to 90 of about 10,154 (312)

Redefining Therapies for Drug‐Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design

Advanced Healthcare Materials, EarlyView.
Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales, Jessica Ingrid Marquez Cazorla, Renzo Marianito Marquez Cazorla, Aline Martins dos Santos, Jonatas Lobato Duarte, Letícia Oliveira Catarin Nunes, Túlio Custódio Reis, Lara Cerazi Salvador, Norival Alves Santos‐Filho, Rafael Miguel Sábio, Hélder A. Santos, Fernando Rogério Pavan   +11 more
wiley   +1 more source

Microneedle Technology in Psoriasis Management: Mechanistic Insights, Technological Innovation, Clinical Progress, and Challenges

Advanced Healthcare Materials, EarlyView.
This review explores the evolving role of microneedle systems in psoriasis management, highlighting their potential for enhanced drug delivery, diagnosis, and disease monitoring. It also discusses unmet clinical needs for psoriasis management and technical challenges, while outlining strategic directions to advance microneedle integration into routine ...
Fatma Moawad, Yasmine Ruel, Roxane Pouliot, Davide Brambilla   +3 more
wiley   +1 more source

A Reinforcement Learning Method for a Hybrid Flow-Shop Scheduling Problem

Algorithms, 2019
The scheduling problems in mass production, manufacturing, assembly, synthesis, and transportation, as well as internet services, can partly be attributed to a hybrid flow-shop scheduling problem (HFSP). To solve the problem, a reinforcement learning (RL)
Wei Han, Fang Guo, Xichao Su
doaj   +1 more source

A hybrid flow shop scheduling problem in ink production

, 2021
This study concerns with Hybrid Flow Shop Scheduling (HFS) problem and its real world application in a factory that produces ink and related special paints. There are many variations of HFS depending on the machine environment, process (job) characteristics and objective function. This study focus on a special variation that includes the constraints of
openaire   +1 more source

Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy

Advanced Materials, EarlyView.
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa, Gracia Mendoza, Silvia Irusta, Manuel Arruebo   +3 more
wiley   +1 more source

Scalable Solar Evaporator Based on Bandgap Engineered CuMnCrO4 Spinel Oxide with Salt‐Resistant Property for Contaminated Seawater

Advanced Materials, EarlyView.
Incorporating multiple cations (Cu2⁺ and Cr3⁺) into the Mn3O4 spinel lattice strategically tunes the electronic structure, narrowing the bandgap from 2.3 to 1.49 eV. This enhances visible–NIR light absorption and photothermal conversion, enabling a high water evaporation rate of 4.1 kg m−2 h−1 under 1 sun.
Rana Muhammad Irfan, Sungdo Kim, Jin Young Lee, Ji‐Hyun Jang   +3 more
wiley   +1 more source

Liquid Metal Microrobots for Magnetically Guided Transvascular Navigation

Advanced Materials, EarlyView.
Liquid metal‐based microrobots combine magnetic steering, intrinsic X‐ray visibility and softness, to navigate blood vessels even against flow. Under clinically relevant magnetic fields, liquid metal microrobots roll along vessel walls, cross endothelial barriers, and accumulate in target tissues.
Xiaohui Ju, Roshan Velluvakandy, Xianghua Wu, Miguel Angel Merlos Rodrigo, Zbyněk Heger, Kamila Bendíčková, Jan Frič, Martin Pumera   +7 more
wiley   +1 more source

Block–Neighborhood-Based Multi-Objective Evolutionary Algorithm for Distributed Resource-Constrained Hybrid Flow Shop with Machine Breakdown

Machines
Production scheduling that involves distributed factories, machine maintenance, and resource constraints plays a crucial role in manufacturing. However, these realistic constraints have rarely been considered simultaneously in the hybrid flow shop (HFS).
Ying Xu, Shulan Lin, Junqing Li
doaj   +1 more source

A Hybrid Algorithm for the Permutation Flow Shop Scheduling Problem [PDF]

, 2013
This paper considers the application of IA for the classic permutation flow shop scheduling problem. We present a hybrid version of constructively built IA combining with the SA for the n-job, m-machine permutation flow shop scheduling problem to minimize makespan.
Arindam Chakravorty, Dipak Laha
openaire   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source