Results 31 to 40 of about 1,664,685 (304)

α‐Synuclein Forms Distinct Micelle‐Like Assemblies at Low Ionic Strengths

open access: yesAdvanced Science, EarlyView.
At high ionic strength, α‐synuclein forms diverse assemblies, including oligomers, fibrils, and condensates. Here, we show that at low ionic strength, α‐synuclein adopts a distinct, low‐abundance assembly state. These assemblies maintain a constant size above a critical concentration and do not coalesce, suggesting a micelle‐like organization ...
Sophie Hertel   +10 more
wiley   +1 more source

Approximate Equivalence of the Hybrid Automata with Taylor Theory

open access: yesJournal of Applied Mathematics, 2014
Hybrid automaton is a formal model for precisely describing a hybrid system in which the computational processes interact with the physical ones.
Anping He   +3 more
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani   +3 more
wiley   +1 more source

Taylor-Galerkin method for solving higher-order nonlinear complex differential equations

open access: yesMethodsX
The Galerkin approach for numerically resolving higher-order Complex Differential Equations (CDEs) in a rectangular domain in the complex plane is presented in this work. Taylor polynomial functions are used in this method as basis or weighted functions.
Md. Humayun Kabir   +2 more
doaj   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

open access: yesAdvanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows   +7 more
wiley   +1 more source

Integration of Equations of the Two-body Problem Using a Total Polynomial System of Partial Differential Equations

open access: yesИзвестия Иркутского государственного университета: Серия "Математика"
The polynomial total system of partial differential equations constructed for the two-body problem is described in this paper. The algorithm for its numerical integration using the Taylor series method is presented.
L. K. Babadzanjanz   +2 more
doaj   +1 more source

Efficient Quantum State Preparation for the Cauchy Distribution Based on Piecewise Arithmetic

open access: yesIEEE Transactions on Quantum Engineering, 2022
The benefits of the quantum Monte Carlo algorithm heavily rely on the efficiency of the superposition state preparation. So far, most reported Monte Carlo algorithms use the Grover–Rudolph state preparation method, which is suitable for ...
Ethan T. Wang
doaj   +1 more source

Taylor Magazine (Fall 1993) [PDF]

open access: yes, 1993
The Fall 1993 edition of Taylor Magazine, published by Taylor University in Upland, Indiana.https://pillars.taylor.edu/tu_magazines/1082/thumbnail ...
Taylor University
core   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Taylor Series Approximation to Solve Neutrosophic Multiobjective Programming Problem [PDF]

open access: yesNeutrosophic Sets and Systems, 2015
In this paper, Taylor series is used to solve neutrosophic multi-objective programming problem (NMOPP). In the proposed approach, the truth membership, Indeterminacy membership, falsity membership functions associated with each objective of multi ...
Ibrahim M. Hezam   +2 more
doaj  

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