In order to obtain high resolution inverse synthetic aperture radar (ISAR) sparse images, a block sparse signal recovery ISAR imaging algorithm is proposed by considering the cluster characteristics of target in this ...
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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 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.
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.
In this study, we tested different models for predicting the effluent water quality of coal chemical wastewater treated by the catalytic ozonation process. The optimal model was further modified using the norm feature...
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In this study, we tested different models for predicting the effluent water quality of coal chemical wastewater treated by the catalytic ozonation process. The optimal model was further modified using the norm feature vector selection methods and intelligent algorithms. The average removal amount and average removal rate of COD in coal chemical wastewater treated by catalytic ozonation process were 223.62 mg/L and 57.98 %, respectively. AAO-pH, AAO-ammonia nitrogen, AAO-total phosphorus, AAO-COD, AAO-total phenol, SST-COD, SST-total phenol, and SST-turbidity were inputs for each model, while the catalytic ozonation-COD was used as the output for each model. We collected 500 samples of one year for the training, validation, and testing of various models. Compared to other models, the RF model had better predictive performance. Additionally, L1 method had a stronger optimization ability for the RF model than L2 method. Compared with BOA and SSA, IGWO had a larger contribution to improving the predictive ability. The L1-RF-IGWO model showed the best predictive ability (test set R2 of 0.8717). The present results can aid coal chemical plants achieve data-driven management of water quality prediction and monitoring, providing ideas for the construction of models for predicting water quality in engineering.
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