Results 121 to 130 of about 453,874 (281)
Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums
Journal of Futures Markets, EarlyView.ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
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Lagrangian Modelling and Motion Stability of Synchronous Generator-based Power Systems
CSEE Journal of Power and Energy SystemsThis paper proposes to analyze the motion stability of synchronous generator-based power systems using a Lagrangian model derived in the configuration space of generalized position and speed.
Feng Ji, Lu Gao, Chang Lin
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Tangentially biharmonic Lagrangian H-umbilical submanifolds in complex space forms
, 2014 The notion of Lagrangian $H$-umbilical submanifolds was introduced by B. Y. Chen in 1997, and these submanifolds have appeared in several important problems in the study of Lagrangian submanifolds from the Riemannian geometric point of view.
Sasahara, Toru
core
Researcher–Entrepreneur Relationship and Performance of Innovative Startups
International Journal of Finance &Economics, EarlyView.ABSTRACT Many innovative startups are joint ventures between researchers and entrepreneurs, who collaborate in R&D and product commercialization. Government policies such as grants, subsidies, and patent licensing fees act as Pigouvian subsidies, incentivizing R&D by bridging the gap between the social and private returns of innovation.
Yangguang Huang, Helen Hui
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Materials Genome Engineering Advances, EarlyView.This study establishes the relationship between loading conditions and loading results in graded density impactor (GDI)‐based controllable stress/strain‐rate loading via deep learning, and ultimately realizing the prediction of loading curves and design of loading conditions.
Yiwei Zhang +7 more
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Mathematical Methods in the Applied Sciences, Volume 48, Issue 6, Page 6912-6917, April 2025.ABSTRACT Nowadays, a substantial portion of investigations concerning the symmetry analysis of differential equations predominantly adhere to a framework comprising the following key procedures: (i) the derivation of symmetries, (ii) the determination of an optimal system, (iii) the utilization of these symmetries to construct invariants or ...
A. Paliathanasis +2 more
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Impact of Partial Echo on 4D Flow MRI: The Insight From Synthetic MRI
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose The aim of this study is to investigate the impact of the partial echo on 4D flow MRI sequences thanks to in silico coupled MRI‐CFD (computational fluid dynamics) simulations. Methods Two sequences are studied: one with a full echo (FE) and another using partial echo (PE) with an echo symmetry fraction of 0.75.
Morgane Garreau +6 more
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Effect of Variations in the Ring Thickness on the Dynamic Performance of the Bimetal Gears
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT This study used a six‐degrees‐of‐freedom dynamic model to analyze the dynamic response of bimetal spur gears. Aluminum alloy forms the core of the bimetal gears, and a uniform‐thickness steel ring surrounds the teeth. Gear mesh stiffness of bimetal gears and the transmission error have been assessed using a numerical approach based on finite ...
Bikramjit Singh +2 more
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Differential Geometry and its Applications, 2011 The aim of this paper is to describe the obstruction for an almost Lagrangian fibration to be Lagrangian, a problem which is central to the classification of Lagrangian fibrations and, more generally, to understanding the obstructions to carry out surgery of integrable systems, an idea introduced by Zung.
openaire +2 more sources
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT In recent years, learning robot manipulator dynamics with deep networks has been extensively studied, as it avoids deriving the analytical expression of the robot dynamics equations. In particular, deep Lagrangian networks that incorporate the prior knowledge of Lagrangian mechanics into the deep networks have shown prominent advantages in ...
Xianglong Liang +3 more
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