Results 171 to 180 of about 6,813,126 (333)

Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach [PDF]

, 2020
Hao Zhou, Melike Erol‐Kantarci
openalex   +1 more source

A Q-learning Approach for Adherence-Aware Recommendations [PDF]

, 2023
Ioannis Faros, Aditya Dave, Andreas A. Malikopoulos   +2 more
openalex   +1 more source

Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel

Advanced Functional Materials, EarlyView.
This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar, Xuen J Ng, Lukas Lechel, Ashish Chand Rajwar, Hendrik Bargel, Abhishek A. Jalan   +5 more
wiley   +1 more source

Study on Gamma selection in the optimal operation of secondary water supply system based on deep Q-learning network [PDF]

, 2023
Weimin Geng, Jun Yan, Shanbin Xie, Dian Zhang   +3 more
openalex   +1 more source

A Novel Microfluidic System for 3D Epidermis and Full‐Thickness Skin Growth for Nanoparticle Safety Assessment

Advanced Healthcare Materials, EarlyView.
This work presents a novel, dynamically perfused, configurable microfluidic system for epidermis‐only (E and full‐thickness skin (FT SoC) growth, emulating human skin structure and barrier function. Upon TiO2 nanoparticle exposure, the system reveals compromised barrier integrity, reduced metabolic activity, increased permeability, and chemokine‐driven
Samantha Costa, Ana B. Carneiro, Filipa Lebre, João Meneses, Alar Ainla, Cacilda Moura, Ernesto Alfaro‐Moreno, Ana R. Ribeiro   +7 more
wiley   +1 more source

AHT-QCN: Adaptive Hunt Tuner Algorithm Optimized Q-learning Based Deep Convolutional Neural Network for the Penetration Testing

Cybernetics and Information Technologies
Penetration Testing (PT), which mimics actual cyber attacks, has become an essential procedure for assessing the security posture of network infrastructures in recent years.
Railkar Dipali, Joshi Shubhalaxmi
doaj   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

Advanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu‐Wai‐Man   +5 more
wiley   +1 more source

A Sacrificial 3D Printed Vessel‐on‐Chip Demonstrates a Versatile Approach to Model Granulation Tissue

Advanced Healthcare Materials, EarlyView.
A novel method that combines 3D printing and organ‐on‐chip technology enables the creation of hollow channels lined with endothelial cells through a fibroblast‐populated connective tissue matrix. The model supports stable metabolic culture conditions, angiogenic sprouting, and immune cell migration, thereby demonstrating an easy and versatile method to
Jonas Jäger, Phil Berger, Andrew I. Morrison, Hendrik Erfurth, Maria Thon, Eva‐Maria Dehne, Susan Gibbs, Jasper J. Koning   +7 more
wiley   +1 more source

Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies

Advanced Healthcare Materials, EarlyView.
Four extracellular vesicle purification strategies are compared using ovarian‐cancer ascites and ES‐2 cell supernatants. A novel workflow links purification to function by combining particle‐normalized proteomics with matched cell‐free and cell‐based assays.
Christian Preußer, Dolores J. Salander, Witold Szymanski, Johannes Graumann, Yukai Wang, Kai Zhao, Jörg W. Bartsch, María Gómez‐Serrano, Daniel Bachurski, Silke Reinartz, Elke von Pogge von Strandmann   +10 more
wiley   +1 more source

Deep Reinforcement Learning for Optimal Critical Care Pain Management\n with Morphine using Dueling Double-Deep Q Networks [PDF]

, 2019
Daniel Lopez-Martinez, Patrick Eschenfeldt, Sassan Ostvar, Myles Ingram, Chin Hur, Rosalind W. Picard   +5 more
openalex   +1 more source