Results 221 to 230 of about 417,841 (308)

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

Evolutions of partner-ruled surfaces with simultaneous inextensibility conditions. [PDF]

PLoS One
Eren K, Ersoy S, Khan MNI.
europepmc   +1 more source

Implementation of the Vector Space Model Algorithm for Document Searching in Material Test Monitoring Applications (Case Study: BPJN Jayapura Lab)

Serwin Gonzaga Rumagit, Debby Paseru, Thomas Ch. Suwanto   +2 more
openalex   +2 more sources

Wafer‐Scale Integration of α‐quartz Thin Films toward Super High Frequency Piezoelectric bioNEMS for Chikungunya Virus Detection

Advanced Functional Materials, EarlyView.
Epitaxial piezoelectric α‐quartz/Si BioNEMS sensors, made using soft chemistry, effectively detect the Chikungunya virus. They have a mass sensitivity of 205 pg Hz−1 in liquid and can detect the virus at a limit of 9 ng mL−1. This development enables high‐frequency mass devices for point‐of‐care testing in healthcare and other electronic applications ...
Raissa Rathar, Sijie Ding, David Sanchez‐Fuentes, Claire Jolly, Charlotte André‐Arpin, Rudy Desgarceaux, Nicolas Guillaume, Gustavo Ardila, Ricardo Garcia‐Bermejo, Jaume Gazquez, Sergi Plana‐Ruiz, Laura Picas, Adrian Carretero‐Genevrier   +12 more
wiley   +1 more source

Vector space as an area of the operation risks characteristics for asynchronous electric machines

, 2019
С. П. Курилин, V. N. Denisov, М. И. Дли, В. И. Бобков   +3 more
openalex   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Estimation of Faraday rotation and polarization loss based on 3D electron density for space surveillance radar. [PDF]

Sci Rep
Lee DH, Yang J, Park YB.
europepmc   +1 more source

Siloxane‐Functionalized Silicon Phthalocyanine OTFTs: High Hole Mobility and Unexpected p‐Type Character

Advanced Functional Materials, EarlyView.
In this paper, the first use of a siloxane‐substituted silicon phthalocyanine (iso(Si3O)2SiPc) in OTFTs is reported. Moreover, this compound displays the highest hole mobility (exceeding 1 cm2 V−1 s−1) ever recorded for SiPc, and the GIWAXS study reveals thin films with an exceptionally uniform crystalline texture.
Nicolas Ledos, Halynne R. Lamontagne, Joseph Manion, Frédéric Castet, Benoît H. Lessard, Jaclyn L. Brusso   +5 more
wiley   +1 more source

LipoGels: Robust Self‐Lubricating Physically Cross‐Linked Alginate Hydrogels Embedded with Liposomes

Advanced Functional Materials, EarlyView.
Physically cross‐linked alginate hydrogels embedded with 1,2‐dipalmitoyl‐sn‐glycero‐3‐phosphocholine liposomes (LipoGels) are prepared under optimized conditions to avoid shrinkage and achieve structural uniformity. LipoGels demonstrate robust mechanical strength (Young's modulus ≈1 MPa), excellent lubrication (friction coefficient ≈0.021), and ...
Tao Ma, Xueying Guo, Najet Mahmoudi, Pierangelo Gobbo, Wuge H. Briscoe   +4 more
wiley   +1 more source

An AHP-ME-IOWA Model for Assessing National Space Technology Scientific and Technological Strength: A Case Study of the United States. [PDF]

Entropy (Basel)
Chen Y, Qi Z, Li J, Zhu Y.
europepmc   +1 more source