Results 161 to 170 of about 907,184 (299)

Stability of spectral learning algorithms [PDF]

, 2014
openaire   +1 more source

Multiscale Profiling of Nanoscale Metal‐Organic Framework Biocompatibility and Immune Interactions

Advanced Healthcare Materials, EarlyView.
A multi‐scale, hierarchical ‘Safety‐by‐Design’ pipeline combining machine learning, ex vivo human blood assays, and in vivo models enables the systematic immunotoxicity and biocompatibility profiling of nanoscale metal‐organic frameworks, accelerating their safe clinical translation. Abstract The clinical translation of metal‐organic frameworks (MOFs) –
Yunhui Zhuang, Bárbara B. Mendes, Dhruv Menon, Jhenifer Oliveira, Xu Chen, Fatma Demir Duman, João Conniot, Sergio Mercado, Xiewen Liu, Shi‐Yuan Zhang, João Conde, Rachel E. Hewitt, David Fairen‐Jimenez   +12 more
wiley   +1 more source

Predicting visual aesthetic preferences in Tehran city universities campuses using machine learning techniques. [PDF]

Sci Rep
Salehi Kousalari F, Ghanbaran AH, Sharghi A, Jahani A, Satari Rad A.   +4 more
europepmc   +1 more source

Norbornene Homopolymerization Limits Cell Spreading in Thiol–Ene Photoclick Hydrogels

Advanced Healthcare Materials, EarlyView.
Thiol–norbornene click reactions are often used in the development of cell‐permissive 3D hydrogels. However, ene–ene crosslinks in other thiol–ene systems are known to limit permissivity. This study demonstrates the negative effects of norbornene homopolymerization on 3D cell spreading and circumvents the issue by modulating polymer degree of ...
James L. Gentry, Steven R. Caliari
wiley   +1 more source

Construction of evolutionary stability and signal game model for privacy protection in the internet of things. [PDF]

Sci Rep
Li Y, Liu H, Lu L.
europepmc   +1 more source

Recombinant Proteins: A Molecular Tool to Understand Marine Adhesion and to Advance Biomaterials

Advanced Healthcare Materials, EarlyView.
The production of recombinant proteins represents a fundamental step in the characterisation of marine invertebrate adhesives and in the development of bio‐inspired glues. The association of these proteins with other components such as ions, proteins, polysaccharides, or polymers enables the fabrication of biomaterials for various healthcare ...
Alessandra Whaite, Emilie Duthoo, Mathilde Lefevre, Elise Hennebert, Patrick Flammang   +4 more
wiley   +1 more source

Probing Surface Degradation Pathways of Charged Nickel-Oxide Cathode Materials Using Machine-Learning Interatomic Potentials. [PDF]

ACS Appl Mater Interfaces
Both S, Poletayev AD, Danner T, Latz A, Islam MS.   +4 more
europepmc   +1 more source

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory

Generative Adversarial Imitation Learning (GAIL) trains a generative policy to mimic a demonstrator. It uses on-policy Reinforcement Learning (RL) to optimize a reward signal derived from a GAN-like discriminator. A major drawback of GAIL is its training instability - it inherits the complex training dynamics of GANs, and the distribution shift ...
Luo, Tianjiao, Pearce, Tim, Chen, Huayu, Chen, Jianfei, Zhu, Jun   +4 more
openaire   +1 more source

Guides for Developing Hundreds of Novel Chiral MXenes and MBenes Nanosheets/Quantum Dots for Next‐Generation Chiral Engineered Biomaterials Applications

Advanced Healthcare Materials, EarlyView.
The emerging field of MXene/MBene materials has progressed rapidly, advancing diverse research fields, including biomedical engineering, biomedicine, agriculture, and the environment. This nanobiotechnology can tackle longstanding challenges in these areas.
Alireza Rafieerad, Ahmad Amiri
wiley   +1 more source

Deep reinforcement learning-based controller for DC-link voltage regulation and voltage sag compensation in a solar PV-integrated UPQC system. [PDF]

Sci Rep
Sravani M, Sobhan PVS.
europepmc   +1 more source