Results 111 to 120 of about 238,723 (304)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Expanding Chemical Space of Nucleic Acid Nanoparticles for Tunable Antiviral‐Like Immunomodulatory Responses and Potent Adjuvant Activity

open access: yesAdvanced Functional Materials, EarlyView.
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj   +21 more
wiley   +1 more source

Transforming SHACL Shape Graphs into HTML Applications for Populating Knowledge Graphs

open access: yesDigital
Creating applications to manually populate and modify knowledge graphs is a complex task. In this paper, we propose a novel approach for designing user interfaces for this purpose, based on existing SHACL constraint files.
Petko Rutesic   +3 more
doaj   +1 more source

An All‐Optical Driven Bio‐Photovoltaic Interface for Active Control of Live Cells

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐photovoltaic Interface (BIO‐PV‐I) for live cell manipulation is presented. BIO‐PV‐I can be activated non‐invasively and remotely to control the spatial motility, adhesion, and morphology of cells adhering to it. BIO‐PV‐I uses a patterned light‐induced electric potential in iron‐doped lithium niobate crystals whose light‐driven and reversible nature,
Lisa Miccio   +8 more
wiley   +1 more source

Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework

open access: yesAdvanced Functional Materials, EarlyView.
The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim   +15 more
wiley   +1 more source

Towards a Knowledge Graph for Teaching Knowledge Graphs

open access: yes
This poster paper describes the ongoing research project for the creation of a use-case-driven Knowledge Graph resource tailored to the needs of teaching education in Knowledge Graphs (KGs). We gather resources related to KG courses from lectures offered by the Semantic Web community, with the help of the COST Action Distributed Knowledge Graphs and ...
Ilkou, E., Jiménez-Ruiz, E.
openaire   +3 more sources

Germanane Quantum Dots Promote Metabolic Reprogramming of Immune Cells Toward Regulatory T Cells and Suppress Inflammation In Vitro and In Vivo

open access: yesAdvanced Functional Materials, EarlyView.
Metabolic changes in immune cells direct the phenotype and function of the host immune system. Smart nanomaterials must target metabolic pathways to direct immune cell fate. This study reports the fabrication and first application of germanane quantum dots (GeHQDs) to modulate inflammation in vitro and in vivo.
Abhay Srivastava   +7 more
wiley   +1 more source

Rational Device Design and Doping‐Controlled Performance in Fast‐Response π‐Ion Gel Transistors

open access: yesAdvanced Functional Materials, EarlyView.
π‐Ion gel transistors (PIGTs) achieve extraordinary transconductance and stability through device configuration optimization, high‐mobility conjugated polymer selection, and hole scavenger doping. The optimized PIGTs maintain performance on flexible substrates, enabling printed, fast‐response, and wearable electronics.
Masato Kato   +10 more
wiley   +1 more source

Constructing and analyzing intention knowledge graphs

open access: yes大数据, 2020
It is very difficult to evaluate the effects of government governance.Without a good evaluation method and evaluation system,the effects of government governance cannot be guaranteed.Understanding the intention of web users in the topic of government ...
Cheng CHEN   +4 more
doaj  

Do androids dream of electric sorghum?: Predicting Phenotypes from Multi-Scale Genomic and Environmental Data using Neural Networks and Knowledge Graphs

open access: gold, 2020
Ryan P. Bartelme   +13 more
openalex   +1 more source

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