Results 151 to 160 of about 2,910,141 (346)

OfftargetFinder: a web tool for species-specific RNAi design [PDF]

open access: bronze, 2015
Robert T. Good   +6 more
openalex   +1 more source

Controlling 3D Contractility via Engineered Fibrous Hydrogel Composites

open access: yesAdvanced Functional Materials, EarlyView.
A tunable composite contractile assembly (CCA) is developed that can permit or resist contraction without changing cell‐adhesion and density, unlike collagen whose inherent coupling of these ECM cues limits its use as a platform in contractility studies.
Karen L. Xu   +7 more
wiley   +1 more source

Identifying consumer review through web design and online advertisement in online shop [PDF]

open access: yesInternational Journal of Data and Network Science, 2020
Ariani Kusumo Wardhani
doaj   +1 more source

Coherent Control of Nitrogen Nuclear Spins via the VB−${\rm V}_B^-$‐Center in Hexagonal Boron Nitride

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates coherent control of 15N nuclear spins coupled to VB−${\text{V}}_{\text{B}}^{-}$ centers in isotope‐enriched hexagonal boron nitride. Selective addressing via spin‐state mixing enables Rabi driving, quantum gates, and coherence times exceeding 10 μs$\umu{\rm s}$.
Adalbert Tibiássy   +6 more
wiley   +1 more source

Cardiac‐Derived ECM Microspheres for Enhanced hiPSC‐CMs Maturation

open access: yesAdvanced Functional Materials, EarlyView.
Cardiac extracellular matrix microspheres derived from decellularized porcine heart provide a biomimetic 3D microenvironment for human induced pluripotent stem cell–derived cardiomyocytes (hiPSC‐CMs). This platform supports short‐ and long‐term culture, enhances structural organization, and promotes electrophysiological and functional maturation of ...
Jiazhu Xu   +9 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

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