Results 151 to 160 of about 140,035 (276)

Linear Toroidal‐Inertial Waves on A Differentially Rotating Sphere with Application to Helioseismology: Modeling, Forward and Inverse Problems

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT This paper develops a mathematical framework for interpreting observations of solar inertial waves in an idealized setting. Under the assumption of purely toroidal linear waves on the sphere, the stream function of the flow satisfies a fourth‐order scalar equation.
Tram Thi Ngoc Nguyen   +3 more
wiley   +1 more source

Differentiation of Plant and Animal‐Derived Cholesterol Using irm‐13C NMR and IRMS

open access: yesMagnetic Resonance in Chemistry, EarlyView.
Determining and certifying the origin of ingredients, starting materials, and excipients used in manufactured goods like cosmetics and medicines can be difficult. In this report, we describe a robust approach for identifying the origin of cholesterol, a component of myriad consumer products using irm‐13C NMR and IRMS to differentiate plant versus ...
Anika M. Singh   +3 more
wiley   +1 more source

Nonlinear Vibration Characteristic Analysis of Electric Vehicle–Road Coupling System

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In‐wheel motor drive is the developing direction of automobile electrification and intelligence. However, the increased unsprung mass in in‐wheel motor‐driven electric vehicles (IWMEVs) leads to higher dynamic tire loads, thereby intensifying vehicle–road coupling interactions. To address this problem, an 11‐degree‐of‐freedom nonlinear dynamic
Guizhen Feng, Shaohua Li, Xuewei Wang
wiley   +1 more source

MEASURES ORTHOGONAL TO POLYNOMIALS [PDF]

open access: yesProceedings of the National Academy of Sciences, 1958
openaire   +3 more sources

Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley   +1 more source

Farmers’ Preferences for Sustainable Crop Protection: An Integrated Choice and Latent Variable Approach

open access: yesSustainable Development, EarlyView.
ABSTRACT This study analyzes farmers' preferences for sustainable crop protection, focusing on Integrated Pest Management (IPM) practices by incorporating social‐psychological factors to capture economic and behavioral dimensions. Using data from German and Polish potato farmers, we apply an integrated choice and latent variable framework that combines
Philip K. Miriti   +3 more
wiley   +1 more source

The Pier Luigi Nervi's concrete structure of Palazzetto dello Sport: Modeling and dynamic characterization

open access: yesStructural Concrete, EarlyView.
Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella   +2 more
wiley   +1 more source

Multi‐level fatigue reliability assessment of reinforced concrete railway bridges

open access: yesStructural Concrete, EarlyView.
Abstract This paper presents a multi‐level reliability framework for assessing the fatigue life of reinforced concrete (RC) railway trough bridges subjected to cyclic loading. The framework incorporates increasing levels of analytical complexity and real‐world data in four steps. First, an analytical model applies S–N curves and the Palmgren–Miner rule
Silvia Sarmiento   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy