Results 71 to 80 of about 5,457 (239)

Cerium Nanoparticle‐Mediated Inhibition of the NSUN2/m5C Axis Suppresses Synovial Aggression in Rheumatoid Arthritis

open access: yesAdvanced Science, EarlyView.
A novel epitranscriptomic mechanism in rheumatoid arthritis is uncovered: NSUN2 promotes disease via m5C‐dependent stabilization of ICMT mRNA, fueling the migration and invasion of pathogenic RA FLS. Targeting this axis with engineered nanoparticles (Ce/SAA NPs) effectively inhibits disease progression, presenting a precise therapeutic strategy ...
Ruiru Li   +15 more
wiley   +1 more source

A Bacterial Endophyte Bacillus amyloliquefaciens W10 Enhances the Tomato Resistance Against Tuta absoluta

open access: yesAgronomy
The tomato leafminer, Tuta absoluta, is a destructive invasive tomato pest worldwide. Bacillus amyloliquefaciens W10, a bacterium isolated from the rhizosphere of tomatoes, is classified as a plant growth-promoting rhizobacterium.
Mingshi Qian   +6 more
doaj   +1 more source

Non-destructive evaluation of solid fired clay brick strength using the SonReb method

open access: yes
This research explores potential non-destructive testing (NDT) methods for assessing the properties of solid fired clay (SFC) bricks in situ. Empirical correlations were established between the results from NDT and the compressive strength determined ...
Seneschal, Tanguy   +3 more
core   +1 more source

Shear Flat Jack Test for Evaluating Shear Characteristics on Unreinforced Masonry Structures

open access: yes, 2021
The shear properties of unreinforced masonry are key parameters used in order to understand the behaviour of these structures under horizontal actions. These characteristics are usually determined using Destructive Testing (DT) methods.
Nicola Viale, Giulio Ventura
core   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels   +4 more
wiley   +1 more source

Oxygen‐Driven Structural Reorganization by Trace Water Enabling Fast Li‐Ion Transport in a Pliable Solid Electrolyte

open access: yesAdvanced Energy Materials, EarlyView.
Trace water is acting as a constructive mediator in 2LiCl–GaF3, markedly increasing ionic conductivity while reorganizing local coordination. Hydration creates localized Li+ solvation environments and partially dissociates ion pairs, enhancing Li‐ion mobility.
Youngkyung Kim   +10 more
wiley   +1 more source

Versatile machine learning algorithms for FTIR spectroscopy: differentiating crosslinked and non-crosslinked gelatin samples

open access: yesDiscover Sustainability
From the food and pharmaceutical industries there is a growing demand for biomaterials from industrial waste, which are biodegradable, non-toxic, non-carcinogenic and biocompatible, as is the case of the gelatin.
Juliana Rincón-López   +8 more
doaj   +1 more source

Non destructive test: an improved approach for rock characterization

open access: yes, 2008
The dimensional stone qualification through the use of non-destructive tests (NDT) is a relevant research topic for the industrial characterisation of finished products, because the competition of low-costs products can be faced by an offer of high ...
BRUNO, ROBERTO   +2 more
core  

Design of an Acoustic-Based Nondestructive Test (NDT) Instrument to Predict the Modulus of Elasticity of Wood

open access: yes, 2020
Modulus of elasticity (E) can predict the mechanical characteristics, as well as grade the quality of wood. The Destructive Test (DT) method is the more commonly used, where the wood sample is split up when being tested. This research used the NDT method
Achmad, Balza   +6 more
core   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

open access: yesAIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho   +4 more
wiley   +1 more source

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