Methane,as the main component of natural gas,is a key transitional fuel resource due to its abundance and relatively low carbon emissions,aligning with global carbon neutrality objectives[1].Traditional natural gas st...
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Methane,as the main component of natural gas,is a key transitional fuel resource due to its abundance and relatively low carbon emissions,aligning with global carbon neutrality objectives[1].Traditional natural gas storage methods,such as liquefied and compressed natural gas,require costly infrastructure and high-pressure ***,adsorbed natural gas offers a safer,more cost-effective,and environmentally friendly solution by enhancing storage capacity at reduced pressures through the use of methane adsorbents[2].
作者：
Liu, JingyuanLegg, Jason C.Mo, Mayzhang, xuwenXiamen Univ
Sch Econ Wang Yanan Inst Studies Econ Dept StatMOE Key Lab Econometr 422 Siming South Rd Xiamen 361005 Fujian Peoples R China Xiamen Univ
Fujian Key Lab Stat Sci 422 Siming South Rd Xiamen 361005 Fujian Peoples R China Amgen Inc
Global Biostat Sci Newbury Pk CA USA
Many treatments and drugs are intended to reduce the occurrence of negative events of interest, control the severity of the events, accelerate recovery from the events, or a combination of these effects. While assessi...
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Many treatments and drugs are intended to reduce the occurrence of negative events of interest, control the severity of the events, accelerate recovery from the events, or a combination of these effects. While assessing the clinical effect is typically the primary objective of a trial, testing the treatment effect on the health status of patients based on patient reported outcome (PRO) can be a useful component in determining the value of a treatment. Analysis of PROs in this setting, however, face the following challenges: the PRO value immediately after the event occurrence is often not captured, and the effect of the event on health status measured by the PRO is transient as subjects recover over time. Therefore, traditional statistical methods used to assess treatment effects suffer from low power for PROs. In this manuscript, we apply a kernel smoothing technique to estimate before- and after-event PRO values. We also propose new test outcomes based on observed and estimated PRO values and evaluate tests that focus on the tail distributions. We demonstrate that the tail distribution tests using the new outcomes can achieve high power under certain conditions.
Using three-dimensional structured light to measure high -reflective objects accurately is a big challenge. Some overexposed and blurred areas in the structured light fringe patterns lead to the loss of semantic and t...
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Using three-dimensional structured light to measure high -reflective objects accurately is a big challenge. Some overexposed and blurred areas in the structured light fringe patterns lead to the loss of semantic and texture information on the object surface, further leading to 3D model reconstruction errors. To solve this problem, a lightweight novel network, Deformable Convolutional and Multi -scale Convolutional Network (DcMcNet), is proposed for repairing highly reflectively distorted regions in sinusoidal fringe patterns and the Gray code binary fringe patterns. DcMcNet uses deformable convolution and multi -scale convolution to realize the effective utilization of multiscale global features in repairing highly reflective distorted regions and can adapt well to the different shapes of these regions. In addition, virtual software is used to acquire large-scale and high-fidelity datasets and a diverse loss function is constructed to better optimize DcMcNet. Depth reconstruction experiments of sinusoidal fringe patterns and point cloud reconstruction experiments of Gray code binary fringe patterns show that our method can repair highly reflective distortion regions with high accuracy, and for aeronautical blades, the MAE of the depth map is reduced from 0.1608 to 0.0675, and the point cloud coverage is improved from 76.64% to 98.95%.
We consider the Boltzmann equation with the soft potential and angular cutoff. Inspired by the methods from dispersive PDEs, we establish its sharp local well-posedness and ill-posedness in Hs\documentclass[12pt]{mini...
We consider the Boltzmann equation with the soft potential and angular cutoff. Inspired by the methods from dispersive PDEs, we establish its sharp local well-posedness and ill-posedness in Hs\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$H<^>{s}$$\end{document} Sobolev space. We find the well/ill-posedness separation at regularity s=d-12\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s=\frac{d-1}{2}$$\end{document}, strictly 12\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\frac{1}{2}$$\end{document}-derivative higher than the scaling-invariant index s=d-22\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s=\frac{d-2}{2}$$\end{document}, the usually expected separation point.
In this paper, new statistical algorithms for accurate peak detection in the metabolomic data are proposed. Specifically, liquid chromatograph-mass spectrometry data are analyzed. The discretized skew-tmixture model f...
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In this paper, new statistical algorithms for accurate peak detection in the metabolomic data are proposed. Specifically, liquid chromatograph-mass spectrometry data are analyzed. The discretized skew-tmixture model for peak detection is proposed. It shows great flexibility and capability in fitting skewed or heavy-tailed peaks. The methodology is further extended to cross-sample peak alignment for identifying the true peaks. A measure of peak credibility is provided through the assessment of misclassification probabilities between two cross-sample peaks. The proposed algorithms are applied to spike-in data with promising results.
We study the differences of two consecutive eigenvalues lambda i - lambda i - 1 , i up to 2 g - 2, for the Laplacian on hyperbolic surfaces of genus g , and show that the supremum of such spectral gaps over the moduli...
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We study the differences of two consecutive eigenvalues lambda i - lambda i - 1 , i up to 2 g - 2, for the Laplacian on hyperbolic surfaces of genus g , and show that the supremum of such spectral gaps over the moduli space has infimum limit at least 4 1 as the genus goes to infinity. A min-max principle for eigenvalues on degenerating hyperbolic surfaces is also established.
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