Results 151 to 160 of about 26,836,972 (345)

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

Mathematical Analysis of Epidemic Models with Treatment in Heterogeneous Networks. [PDF]

Bull Math Biol, 2023
Wang Y, Cao J, Xue C, Li L.
europepmc   +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

Mathematical analysis and molecular descriptors of two novel metal-organic models with chemical applications. [PDF]

Sci Rep, 2023
Zaman S, Jalani M, Ullah A, Ahmad W, Saeedi G.   +4 more
europepmc   +1 more source

Relationship of Insulin Resistance and Related Metabolic Variables to Coronary Artery Disease: A Mathematical Analysis [PDF]

, 2008
David Eddy, Len Schlessinger, Richard Kahn, Barbara Peskin, RICK J. SCHIEBINGER   +4 more
openalex   +1 more source

Using Problem-Based Learning to Enhance Mathematical Abilities of Primary School Students: A Systematic Review and Meta-Analysis

, 2021
Suparman Suparman, Maximus Tamur, Yunita Yunita, Tommy Tanu Wijaya, Syaharuddin Syaharuddin   +4 more
openalex   +2 more sources

Role of Crosslinking and Backbone Segmental Dynamics on Ion Transport in Hydrated Anion‐Conducting Polyelectrolytes

Advanced Functional Materials, EarlyView.
Thermally crosslinked poly(2‐vinylpyridine)‐based anion conducting polyelectrolytes have been synthesized. The segmental dynamics of these polyelectrolytes have been systematically modified by varying the degree of crosslinking. Both the experimental and simulation results indicate that segmental dynamics have a limited influence on ion transport in ...
Zhongyang Wang, Kai Wang, Christopher Eom, Yuxi Chen, Ge Sun, Mincheol Kim, Joan M. Montes de Oca, Dongyue Liang, Kushal Bagchi, Shrayesh N. Patel, Juan J. de Pablo, Paul F. Nealey   +11 more
wiley   +1 more source

Retracted: Mathematical Analysis of Application of a Three-Dimensional Printing Fixator in the Fracture of Multiple Ribs. [PDF]

Evid Based Complement Alternat Med, 2023
And Alternative Medicine EC.
europepmc   +1 more source

Analysis of food chain mathematical model under fractal fractional Caputo derivative

, 2022
Adnan Sami, Amir Ali, Ramsha Shafqat, Nuttapol Pakkaranang, Mati ur Rahmamn   +4 more
openalex   +1 more source

Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes

Advanced Functional Materials, EarlyView.
This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin, Wenhao Wang, Thomas Caiwei Tan, Abhishek Kumar, Ridong Jia, Nikhil Navaratna, Ranjan Singh, Lijuan Xie   +7 more
wiley   +1 more source