Results 61 to 70 of about 34,853 (246)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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 +7 more
wiley +1 more source
This research presents a novel node-based Graph Convolutional Network (GCN) approach for the classification of breast cancer from ultrasound images. Utilizing the Simple Linear Iterative Clustering (SLIC) algorithm, superpixels are segmented and treated ...
Kien Trang +3 more
doaj +1 more source
FLIC: Fast linear iterative clustering with active search
In this paper, we reconsider the clustering problem for image over-segmentation from a new perspective. We propose a novel search algorithm called “active search” which explicitly considers neighbor continuity.
Jiaxing Zhao +4 more
doaj +1 more source
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 +7 more
wiley +1 more source
Heterogeniety in electrochemical systems heavily influences device performance and durability. The study shows unique evidence of spatio‐operational heterogeneity in fuel cells via operando neutron and X‐ray tomography. Large variations in membrane thickness and hydration depend upon location and operating conditions, with implications on membrane ...
Pranay Shrestha +9 more
wiley +1 more source
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects
In the context of clustering and classification, the choice between spatial and spectral features hinges on data characteristics and analytical goals.
Lingxi Liu +4 more
doaj +1 more source
3D Digital Light Processing of Redox‐Active Polymers for Electrochemical Applications
3D printing of electrochemically switchable conducting polymers is achieved by Digital Light Processing of redox‐active carbazole‐based polymer materials. Complex 2D and 3D architectures including dot arrays and pyramids clearly show the potential for novel 3D switchable electrochemical devices for sensors, electrochromic displays as well as 3D printed
Christian Delavier +4 more
wiley +1 more source
Dry electrode technology revolutionizes battery manufacturing by eliminating toxic solvents and energy‐intensive drying. This work details two promising techniques: dry spray deposition and polymer fibrillation. How their unique solvent‐free bonding mechanisms create uniform microstructures for thicker, denser electrodes, boosting energy density and ...
Yuhao Liang +7 more
wiley +1 more source
Three‐dimensional Antimony Sulfide Based Flat Optics
This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang +18 more
wiley +1 more source

