Results 171 to 180 of about 118,329 (196)

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

Gaussian-Haar transform fusion enhances DEIM for pomegranate maturity detection. [PDF]

Sci Rep
Wang Y, Liu S, Hao P, Liu W, Zhao K.
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

FF-Mamba-YOLO: An SSM-Based Benchmark for Forest Fire Detection in UAV Remote Sensing Images. [PDF]

J Imaging
Guo B, Liu D, Shen Z, Wang T.
europepmc   +1 more source

Near‐Infrared Organic Photovoltaic Electrodes for Subretinal Neurostimulation

Advanced Functional Materials, EarlyView.
Organic photovoltaic electrodes based on the D18:Y6 blend enable precise and light‐controlled activation of retinal ganglion cells in a degenerating retina. NIR Light‐driven activation of retinal ganglion cells, tunable stimulation parameters, and biocompatibility with human retinal organoids highlight their potential for next‐generation prosthetics ...
Andrea Corna, Katarina Gugujonovic, Manuela Schiek, Alessandro Bellapianta, Paul Werginz, Amelie Ziller, Markus Clark Scharber, Ahmad Salti, Matthias Bolz, Mihai Irimia‐Vladu, Günther Zeck   +10 more
wiley   +1 more source

Ciphertext-Only Attack on Grayscale-Based EtC Image Encryption via Component Separation and Regularized Single-Channel Compatibility. [PDF]

J Imaging
Li R, Fujiyoshi M.
europepmc   +1 more source

Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light

Advanced Functional Materials, EarlyView.
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid, Demeng Feng, Pournima Narayanan, Justin S. Edwards, Manchen Hu, Emma Belliveau, Minjeong Kim, Shenwei Yin, Sanket Deshpande, Chenghao Wan, Linda Pucurimay, David A. Czaplewski, Daniel N. Congreve, Mikhail A. Kats   +13 more
wiley   +1 more source

A Vascular Microphysiological Model of Lung Fibrosis Reveals That Myofibroblasts and IPF Patient‐Derived Fibroblasts Impair Angiogenesis and Vasculogenesis

Advanced Functional Materials, EarlyView.
A microphysiological lung fibrosis model recapitulates myofibroblast–vascular interactions. Induced myofibroblasts and patient‐derived IPF fibroblasts impair angiogenesis and increase vascular permeability via TGF‐β1–driven signaling. Pharmacological interventions with SB 431542 and VEGF supplementation restore vascular morphology and barrier function.
Elena Cambria, Adriana Blazeski, Eunkyung Clare Ko, Tran Thai, Shania Dantes, David A. Barbie, Sarah E. Shelton, Roger D. Kamm   +7 more
wiley   +1 more source