Results 91 to 100 of about 10,610,136 (340)

Adalimumab‐Poloxamer Conjugate for Bio‐Better: Enhanced Stability and Function

Advanced Functional Materials, EarlyView.
Antibody‐polymer conjugates, particularly poloxamer conjugates, enhance antibody stability by improving tolerance to physicochemical stress and attenuating proteolysis by proteases. Furthermore, the higher affinity observed with poloxamer conjugation compared to standard PEGylation results in improved therapeutic efficacy in rheumatoid arthritis mouse ...
Jaewon Roh, Sanghee Lee, Soomin Cho, Kun Na   +3 more
wiley   +1 more source

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.
Jean Daunizeau, Stefan J. Kiebel, Karl J. Friston, André C. Marreiros   +3 more
openaire   +2 more sources

Coefficient estimates for starlike and convex functions related to sigmoid functions

Ukrains’kyi Matematychnyi Zhurnal, 2023
UDC 517.5 We give sharp coefficient bounds for starlike and convex functions related to modified sigmoid functions. We also provide some sharp coefficients bounds for the inverse  functions and sharp bounds for the initial logarithmic coefficients and  some coefficient differences.
M. Raza, D. K. Thomas, A. Riaz
openaire   +1 more source

Prospects of Electric Field Control in Perpendicular Magnetic Tunnel Junctions and Emerging 2D Spintronics for Ultralow Energy Memory and Logic Devices

Advanced Functional Materials, EarlyView.
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp, Brahmdutta Dixit, Yifei Yang, Deyuan Lyu, Thomas Peterson, Qi Jia, Yu‐Chia Chen, Jian‐Ping Wang   +7 more
wiley   +1 more source

Cholesterol in mRNA‐Lipid Nanoparticles can be Replaced with the Synthetic Mycobacterial Monomycoloyl Glycerol Analogue MMG‐1

Advanced Functional Materials, EarlyView.
This study demonstrates that cholesterol in messenger RNA‐lipid nanoparticles (mRNA‐LNPs) can be completely replaced with an immunopotentiating lipid, i.e., a synthetic analogue of the C‐type lectin receptor agonist monomycoloyl glycerol (MMG‐1), without compromising physicochemical properties, in vivo transfection efficiency, and immunogenicity of the
Abhijeet G. Lokras, Saahil S. Baghel, Rune F. Jensen, Aneesh Thakur, Henrik Franzyk, Oskar Thofte, Marco Herrera‐Barrera, Madeleine Landry, Melike Ongun, Ahmad Tami, Marlene P. Thanthrige, Eva Callens, Corinne Beinat, Thomas Rades, Søren R. Paludan, Kristian Riesbeck, Ida Rosenkrands, Dennis Christensen, Gabriel K. Pedersen, Camilla Foged   +19 more
wiley   +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

Excited State Modulation in Carbene‐Metal‐Amides to Design Fast and Bright Blue Delayed Fluorescence

Advanced Functional Materials, EarlyView.
Gold‐centered carbene‐metal amide (CMA) materials with carbonyl‐group substitution on the amide donor ligand. Molecular design ensures that the charge transfer (CT) state is lower in energy than the locally excited (3LE) states. The energy difference between CT and LE states controls the rate of the delayed fluorescence.
Charlotte Riley, Nguyen Le Phuoc, Mikko Linnolahti, Alexander S. Romanov   +3 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  

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

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