Results 61 to 70 of about 336,714 (315)
Advanced 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
Advanced Functional Materials, EarlyView.A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source
From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing
Advanced Functional Materials, EarlyView.Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov +5 more
wiley +1 more source
BarekengAcute Respiratory Infections (ISPA) are a significant health issue. According to the World Health Organization (WHO), ISPA is the leading cause of death among children under five worldwide.
Yolanda Norasia +2 more
doaj +1 more source
A New Approach of Image Denoising Based on Adaptive Multi-Resolution Technique
Nigerian Journal of Technological Development, 2022 Medical imaging and diagnostic techniques have become popular over the last two decades with the advancement of data science, data analysis, data storage, and the internet.
Lalit Mohan Satapathy, Pranati Das
doaj
Predicting Cryptocurrency Price Using RNN and LSTM Method
Jurnal Sisfokom, 2023 Cryptocurrency price prediction is a crucial task for financial investors as it helps determine appropriate investment strategies and mitigate risk. In recent years, deep learning methods have shown promise in predicting time-series data, making them a ...
Dzaki Mahadika Gunarto +2 more
doaj +1 more source
DyMo: Dynamic Monitoring of Large Scale LTE-Multicast Systems
, 2017 LTE evolved Multimedia Broadcast/Multicast Service (eMBMS) is an attractive solution for video delivery to very large groups in crowded venues. However, deployment and management of eMBMS systems is challenging, due to the lack of realtime feedback from ...
Abdelmalek, Yousef +8 more
core +1 more source
Comparison of GCM Precipitation Predictions with Their RMSEs and Pattern Correlation Coefficients [PDF]
Water, 2018 This study evaluated 20 general circulation models (GCMs) of the Coupled Model Intercomparison Project, Phase 5 (CMIP5), which provide the prediction results for the period of 2006 to 2014, the period from which the observation data (the Global Precipitation Climatology Project (GPCP) data) are available.
Chulsang Yoo, Eunsaem Cho
openaire +1 more source
Advanced Healthcare Materials, EarlyView.Platform system to create biofabricated 3D spinal cord tissue models: Combining high resolution PCL fiber placement, a customized, hyaluronic acid‐based hydrogel, two cell types (spinal cord neurons and astrocytes) together with three distinct laminin isoforms allow the formation of functional cell–cell network interactions.
Nicoletta Murenu +12 more
wiley +1 more source
Geometric Piecewise Cubic Bézier Interpolating Polynomial with C2 Continuity
Информатика и автоматизация, 2021 Bézier curve is a parametric polynomial that is applied to produce good piecewise interpolation methods with more advantage over the other piecewise polynomials.
Mustafa Abbas Fadhel, Zurni B Omar
doaj +1 more source