Results 41 to 50 of about 3,920,328 (252)
Possibilities of classical trigonometric Fourier series are substantially limited in 2-D and 3-D boundary value problems. Boundary conditions of such problems for areas with curvilinear boundaries often fails when using the classical Fourier series.
Victor L Leontiev
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Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
A Vector Representation of Multicomplex Numbers and Its Application to Radio Frequency Signals
Hypercomplex numbers, which are multi-dimensional extensions of complex numbers, have been proven beneficial in the development of advanced signal processing algorithms, including multi-dimensional filter design, linear regression and classification.
Daniele Borio
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Sparse Optimization of Vibration Signal by ADMM
In this paper, the alternating direction method of multipliers (ADMM) algorithm is applied to the compressed sensing theory to realize the sparse optimization of vibration signal.
Song Wanqing
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Generalized Orthogonal Discrete W Transform and Its Fast Algorithm
Based on the generalized discrete Fourier transform, the generalized orthogonal discrete W transform and its fast algorithm are proposed and derived in this paper. The orthogonal discrete W transform proposed by Zhongde Wang has only four types. However,
Jichao Sun, Zhengping Zhang
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BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells
BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley +1 more source
The paper presents a two-level learning method for radial basis function (RBF) networks. A regularized orthogonal least squares (ROLS) algorithm is employed at the lower level to construct RBF networks while the two key learning parameters, the ...
Luk, B.L., Wu, Y., Chen, S.
core +1 more source
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil +2 more
wiley +1 more source
A Robust Orthogonal Adaptive Approach to SISO Deconvolution
This paper formulates in a common framework some results from the fields of robust filtering, function approximation with orthogonal basis, and adaptive filtering, and applies them for the design of a general deconvolution processor for SISO systems ...
Muravchik C, Doñate PD, Cousseau JE
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Effect of different basis functions on the LSM pricing of American option
American option allows an option holder to exercise the option at any time before the expiration of option. Thus it is impossible to price it by the B-S formula. Numerical methods are usually applied to price an American option.
YU Tuo, TANG Ya-Yong
doaj

