The Markovian approach, which assumes exponentially distributed interinfection times, is dominant in epidemic modeling. However, this assumption is unrealistic as an individual's infectiousness depends on its vira...
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The Markovian approach, which assumes exponentially distributed interinfection times, is dominant in epidemic modeling. However, this assumption is unrealistic as an individual's infectiousness depends on its viral load and varies over time. In this paper, we present a Susceptible-Infected-Recovered-Vaccinated-Susceptible epidemic model incorporating non-Markovian infection processes. The model can be easily adapted to accurately capture the generation time distributions of emerging infectious diseases, which is essential for accurate epidemic prediction. We observe noticeable variations in the transient behavior under different infectiousness profiles and the same basic reproduction number R0. The theoretical analyses show that only R0 and the mean immunity period of the vaccinated individuals have an impact on the critical vaccination rate needed to achieve herd immunity. A vaccination level at the critical vaccination rate can ensure a very low incidence among the population in the case of future epidemics, regardless of the infectiousness profiles.
We present a scheme with the multiple-induced transparency windows in a hybrid optomechanical *** studying the transmission of a probe field through the hybrid device,we show the successive generations of three transp...
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We present a scheme with the multiple-induced transparency windows in a hybrid optomechanical *** studying the transmission of a probe field through the hybrid device,we show the successive generations of three transparent windows induced by multiple factors including tunneling,optomechanical and qubit-phonon coupling interactions,and analyze the physical mechanism of the induced transparency based on a simplified energy-level diagram of the ***,the effects of the transition frequency and decay rate of the two-level system on the multiple-induced transparency windows are *** find that the transparency windows can be modulated by the coupling interaction between the qubit and NMR,the decay of qubit and the power of the control ***,the transmission of the probe field can be coherently adjusted in the hybrid cavity optomechanical device with a two-level system.
This paper is a continuation of our recent paper(***.,24(141),(2019))and is devoted to the asymptotic behavior of a class of supercritical super Ornstein-Uhlenbeck processes(X_(t))t≥0 with branching mechanisms of inf...
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This paper is a continuation of our recent paper(***.,24(141),(2019))and is devoted to the asymptotic behavior of a class of supercritical super Ornstein-Uhlenbeck processes(X_(t))t≥0 with branching mechanisms of infinite second *** the aforementioned paper,we proved stable central limit theorems for X_(t)(f)for some functions f of polynomial growth in three different ***,we were not able to prove central limit theorems for X_(t)(f)for all functions f of polynomial *** this note,we show that the limiting stable random variables in the three different regimes are independent,and as a consequence,we get stable central limit theorems for X_(t)(f)for all functions f of polynomial growth.
The synthesis of graphitic carbon nanostructures from cellulose extraction of durian peel waste has been successfully carried out in this study. This study aim to produce the graphitic carbon nanostructures to give in...
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The main objective of the present paper is to establish the existence and uniqueness of solutions for the fractional Langevin equation involving the ϕ-Caputo fractional operator with nonlocal boundary conditions. The ...
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We present a data fusion model designed to address the problem of sparse observational data by incorporating numerical forecast models as an additional data source to improve predictions of key variables. This model i...
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Stochastic gradient descent (SGD) algorithms are widely used for training deep neural networks but often struggle with slow convergence. To address this issue, we leverage the framework of the alternating direction me...
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The misuse of plastic products has led to serious environment problem. To alleviate such phenomenon, we need to recover the plastic waste with a precise distinction. In this work, we applied a deep learning model, e.g...
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This study presents a method for identifying strategic locations to drill additional boreholes by quantifying and reducing subsurface uncertainties in geotechnical site investigations. The case study is the Red Roof l...
This study presents a method for identifying strategic locations to drill additional boreholes by quantifying and reducing subsurface uncertainties in geotechnical site investigations. The case study is the Red Roof landslide site located near milepost 140 on US Highway 26/89 in Teton County, Wyoming. A landslide remediation report had recommended additional boreholes before completion of the project. Two primary sources of uncertainty in geomaterials, namely geological and ground, are evaluated to determine the locations for these additional boreholes. The study aims to enhance site characterization and improve the accuracy of geotechnical assessments by strategically selecting and drilling additional boreholes that will reduce these subsurface uncertainties. The method involves reviewing and collecting the available site investigation data. An extensive geostatistical simulation is conducted based on the available data to identify spatial locations at the site that have uncertain subsurface conditions. Data from the additional boreholes could be utilized in these areas to reduce the uncertainty. This approach aligns with the current multi-phasing of site investigation in engineering practice, where a preliminary investigation is conducted before a detailed investigation. The results show that the locations of additional boreholes identified using this method differ from the ones earlier recommended, showcasing the effectiveness of the methodology in this application. This study also provides insights into effective strategies for reducing uncertainties through strategic borehole placement in similar geotechnical investigations. By quantifying geological and ground uncertainties, the method enables informed decision-making for slope stability analysis and risk assessment, with implications for infrastructure stability and geohazard mitigation.
Distributed massive multiple-input multiple-output (mMIMO) is a key technology for improving the performance of future wireless communication systems. As an alternative to channel estimation in mMIMO systems, non-cohe...
Distributed massive multiple-input multiple-output (mMIMO) is a key technology for improving the performance of future wireless communication systems. As an alternative to channel estimation in mMIMO systems, non-coherent detection offers several advantages. In this paper, we present a comprehensive analysis of non-coherent detection for distributed mMIMO systems. We obtain novel expressions for the signal-to-interference-and-noise ratio (SINR) for differential detection. Building upon a theoretical basis, we show that under non-coherent detection, cooperation is always beneficial in noise-limited conditions. We further investigate scenarios where the gains of cooperation are most evident. We then obtain useful error rate results by deriving expressions for the symbol error probability (SEP) when using differential detection. The results are illustrated by numerical examples and simulations.
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