Results 51 to 60 of about 91,156 (303)
Discrete Dynamics in Nature and Society, 2012 We introduce the extension of local polynomial fitting to the linear heteroscedastic regression model. Firstly, the local polynomial fitting is applied to estimate heteroscedastic function, then the coefficients of regression model are obtained by using ...
Liyun Su, Yanyong Zhao, Tianshun Yan
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Advanced Materials Technologies, EarlyView.Anodic aluminum oxide (AAO) membranes have traditionally served as structural supports in osmotic energy systems. Here, blind‐hole AAO membranes are demonstrated as active ion‐selective platforms with tunable nanopore structures. By balancing membrane resistance, ion selectivity, and flux, enhanced performance is achieved, delivering a maximum power ...
Khanh Nhien Vu +6 more
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Nonparametric testing of lack of dependence in functional linear models.
PLoS ONE, 2020 An important inferential task in functional linear models is to test the dependence between the response and the functional predictor. The traditional testing theory was constructed based on the functional principle component analysis which requires ...
Wenjuan Hu, Nan Lin, Baoxue Zhang
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L 1 $L_{1}$ -Estimation for covariate-adjusted regression
Journal of Inequalities and Applications, 2020 We study a covariate-adjusted regression(CAR) model that is proposed for such situations where both predictors and response in a regression model are not directly observable but are distorted by a multiplicative factor that is determined by an unknown ...
Yaodong Sun, Dehui Wang
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Formation Control of Multi‐Agent System with Local Interaction and Artificial Potential Field
Advanced Robotics Research, EarlyView.This article proposes a local interaction‐based formation control method for Multi‐Agent system, integrating consensus and leader‐follower strategies with a stress response mechanism—artificial potential field to reduce communication overhead and enable obstacle avoidance. Experimental results on triangular, square, and hexagonal formations confirm its
Luoyin Zhao +3 more
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MathematicsThis article is devoted to the synthesis and analysis of the quality of the statistical estimate of parameters of a multidimensional linear system (MLS) with one input and m outputs. A nontrivial case is investigated when the one-dimensional input signal
Alexander Varypaev
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Asymptotically Normal Estimation of Local Latent Network Curvature
, 2022 Network data, commonly used throughout the physical, social, and biological sciences, consist of nodes (individuals) and the edges (interactions) between them. One way to represent network data's complex, high-dimensional structure is to embed the graph into a low-dimensional geometric space.
Wilkins-Reeves, Steven, McCormick, Tyler
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Local Asymptotic Normality Property for Lacunar Wavelet Series multifractal model [PDF]
ESAIM: Probability and Statistics, 2011 We consider a lacunar wavelet series function observed with an additive Brownian motion. Such functions are statistically characterized by two parameters. The first parameter governs the lacunarity of the wavelet coefficients while the second one governs its intensity.
Loubes, Jean-Michel, Paindaveine, Davy
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Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
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Advanced Science, EarlyView.The butterfly unfolded wing in an open form structure of botulinum neurotoxin type A (BoNT/A) at physiological‐state was confirmed at 2.85 Å resolution by cryo‐electron microscopy (cryo‐EM). Structure‐guided protein engineering significantly enhanced the receptor‐binding affinity, therapeutic efficacy, and safety of the engineered toxin variants ...
Wenrui Wang +16 more
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