Results 181 to 190 of about 267,735 (315)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Programmable DNA‐Peptide Hybrid Nanostructures for Potent Neutralization of Multiple Influenza a Virus Subtypes

Advanced Functional Materials, EarlyView.
A multivalent antiviral platform based on honeycomb‐shaped DNA nanostructures (HC–Urumin) is developed to enhance the potency and breadth of the host defense peptide Urumin. Through spatially patterned trimeric presentation, HC–Urumin disrupts influenza A virus entry, improves cell viability, and reduces disease severity in vivo‐offering a modular and ...
Saurabh Umrao, Abhisek Dwivedy, Payton L. Haak, Dhanush Gandavadi, Laurie A. Rund, Chi Chen, Vineetha Mareddy, Lifeng Zhou, Jinwei Duan, Ying Fang, Andrew J. Steelman, Xing Wang   +11 more
wiley   +1 more source

Stochastic step-wise feature selection for Exponential Random Graph Models (ERGMs). [PDF]

PLoS One
El-Zaatari H, Yu F, Kosorok MR.
europepmc   +1 more source

A Sequential Algorithm for Generating Random Graphs [PDF]

, 2009
Mohsen Bayati, Jeong Han Kim, Amin Saberi   +2 more
openalex   +1 more source

Roll‐to‐Roll Mechanical Exfoliation for Large‐Area van der Waals Films with Preserved Crystallographic Alignment

Advanced Functional Materials, EarlyView.
A roll‐to‐roll exfoliation method is demonstrated that preserves the crystallographic alignment of anisotropic 2D materials over large areas, enabling scalable fabrication of directional electronic and optoelectronic devices. Abstract Anisotropic 2D materials such as black phosphorus (BP), GeS or CrSBr, exhibit direction‐dependent optical and ...
Esteban Zamora‐Amo, Francisco Fernandez‐Canizares, Yigit Sozen, Thomas Pucher, Pedro L Alcázar Ruano, Carmen Munuera, Ryo Ishikawa, Naoya Shibata, María Varela, Der‐Yuh Lin, Bing Wu, Jorge Quereda, Zdenek Sofer, Gabriel Sánchez‐Santolino, Andres Castellanos‐Gomez   +14 more
wiley   +1 more source

Identify structures underlying out-of-equilibrium reaction networks with random graph analysis. [PDF]

Chem Sci
da Cunha ÉF, Kraakman YJ, Kriukov DV, van Poppel T, Stegehuis C, Wong ASY.   +5 more
europepmc   +1 more source

Exponential random graph model parameter estimation for very large directed networks. [PDF]

PLoS One, 2020
Stivala A, Robins G, Lomi A.
europepmc   +1 more source

<inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-Connectivity in Random Key Graphs With Unreliable Links [PDF]

, 2015
Jun Zhao, Osman Yagan, Virgil Gligor
openalex   +1 more source

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

Advanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source

Gender, kinship, and other social predictors of incrimination in the inquisition register of Bologna (1291-1310): Results from an exponential random graph model. [PDF]

PLoS One
Zbíral D, Riccardo K, Hampejs T, Brys Z.   +3 more
europepmc   +1 more source