Results 61 to 70 of about 220,793 (302)

Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models

Advanced Functional Materials, EarlyView.
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen, Sabah Kasmi, Shrinivas Dumbre, Lies Baekens, Elise Seynaeve, Louise Van den Hauwe, Niccolò Cantini, Aello Garantoudi, Filipe Branco Madeira, Alain Marrot, Emma Tuypens, Sofie Seghers, Anna Kuchmiy, Elisabeth Brabants, Bart Vanderborght, Ine Maes, Sarah Vandenberghe, Jessica Filtjens, Alícia Gordún Peiró, Daliya Kancheva, Ayla Debraekeleer, Florence Lambolez, Emily De Lombaerde, Yong Chen, Rafael Miyazawa Martins, Pauline Formaglio, Damya Laoui, Sofie Deschoemaeker, Bruno G. De Geest, Rogerio Amino, Stefaan De Koker   +30 more
wiley   +1 more source

Comparison of Principal-Component-Analysis-Based Extreme Learning Machine Models for Boiler Output Forecasting

Applied Sciences, 2022
In this paper, a combined approach of Principal Component Analysis (PCA)-based Extreme Learning Machine (ELM) for boiler output forecasting in a thermal power plant is presented.
K. K. Deepika, P. Srinivasa Varma, Ch. Rami Reddy, O. Chandra Sekhar, Mohammad Alsharef, Yasser Alharbi, Basem Alamri   +6 more
doaj   +1 more source

High‐Spatiotemporal‐Resolution Transparent Thermoelectric Temperature Sensor Arrays Reveal Temperature‐Dependent Windows for Reversible Photothermal Neuromodulation

Advanced Functional Materials, EarlyView.
Thermoelectric temperature sensors are developed that directly measure heat changes during optical‐based neural stimulation with millisecond precision. The sensors reveal the temperature windows for safe reversible neural modulation: 1.4–4.5 °C enables reversible neural inhibition, while temperatures above 6.1 °C cause permanent thermal damage.
Junhee Lee, Dongjo Yoon, Jungha Lee, Duhee Kim, Eunui Kim, Jong‐Hyeok Yoon, Hyuk‐Jun Kwon, Seungjun Chung, Yoonkey Nam, Hongki Kang   +9 more
wiley   +1 more source

Generating Cell Surface Nucleated Hydrogels with an Artificial Membrane‐Binding Transglutaminase

Advanced Functional Materials, EarlyView.
Cell‐based therapies require advanced strategies to enhance cell delivery and bioactivity. Cell membrane engineering offers an avenue to impart new functions to delivered cells to boost their viability and function. Here, an artificial membrane‐binding transglutaminase is generated and biophysically characterized.
Rosalia Cuahtecontzi Delint, Tao Li, Kapil D. Patel, Will H. Zhang, Ben M. Carter, Graham J. Day, Adam W. Perriman   +6 more
wiley   +1 more source

Double Sigmoid Activation Function for Fault Detection in Wind Turbine Generator using Artificial Neural Network [PDF]

Iranian Journal of Electrical and Electronic Engineering
The activation function has gained popularity in the research community since it is the most crucial component of the artificial neural network (ANN) algorithm.
NOOR FAZLIANA FADZAIL, Samila Mat Zali, Ernie Che Mid   +2 more
doaj  

Geological sweet spot identification technology of shale based on fuzzy fusion prediction： A case study of Bonan Subsag in Shengli Oilfield

Youqi dizhi yu caishoulu
In response to the strong multi-solution problem of conventional seismic exploration methods in geological sweet spot prediction of shale， this paper fully explored one-dimensional whole rock analysis data and well logging data， two-dimensional ...
WANG Changjiang, YAN Shicui, ZHANG Juan, LIU Qingmin, XU Ren, ZHONG Baowen   +5 more
doaj   +1 more source

Semi-Supervised Kernel PCA [PDF]

, 2010
We present three generalisations of Kernel Principal Components Analysis (KPCA) which incorporate knowledge of the class labels of a subset of the data points.
Christian Walder, Lars Kai Hansen, Mathematical Modelling, Morten Mørup, Ricardo Henao   +4 more
core   +2 more sources

Population dynamics: Variance and the sigmoid activation function

NeuroImage, 2008
This paper demonstrates how the sigmoid activation function of neural-mass models can be understood in terms of the variance or dispersion of neuronal states. We use this relationship to estimate the probability density on hidden neuronal states, using non-invasive electrophysiological (EEG) measures and dynamic casual modelling.
Marreiros, A., Daunizeau, J., Kiebel, S., Friston, K.   +3 more
openaire   +3 more sources

Mesoporous Carbon Thin Films with Large Mesopores as Model Material for Electrochemical Applications

Advanced Functional Materials, EarlyView.
Mesoporous carbon thin films possessing 70 nm mesopores are prepared on titanium substrates by soft templating of resol resins with a self‐synthesized poly(ethylene oxide)‐block‐poly(hexyl acrylate) block copolymer. A strategy to avoid corrosion of the metal substrate is presented, and the films are extensively characterized in terms of morphology ...
Lysander Q. Wagner, Joshua Schober, Pascal Dippell, Chantal Glatthaar, Smail Mekhilef, David Schäfer, Hannes Hergert, Marcus Rohnke, Matthias T. Elm, Bernd M. Smarsly   +9 more
wiley   +1 more source

Implicit Euler Discretization for Enhanced Sliding Mode Observer in Sensorless Permanent Magnet Synchronous Motor Control

IEEE Access
This paper presents a discrete-time sliding mode observer designed to estimate the rotor position of PMSMs for sensorless control strategies. Without compromising the sliding feature, this study employs a discretization method known as implicit Euler ...
Nehal Baiomy, Mohamed Mahmoud Abdelhafiz, Abdelmomen Mahgoub   +2 more
doaj   +1 more source