The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency by Muteb Faraj Alharthi

“…The first is to examine Bayesian sensitivity and consistency of this measure for the case of Markov epidemic models. The second is to assess the Martingale method by comparing its performance to that of Markov Chain Monte Carlo (MCMC) methods in terms of estimating this parameter and the infection and removal rate parameters given only removal data. …”
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Non-Markovian spiking statistics of a neuron with delayed feedback in presence of refractoriness by Kseniia Kravchuk, Alexander Vidybida

“…    Recently, [35,6], it was proven for a neuron withdelayed feedback and without the refractory state,that the output stream of interspike intervals (ISI)cannot be represented as a Markov process.The refractory state presence, in a sense limits the memory range in thespiking process, which might restore Markov property to the ISI stream.…”
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Prevalence and associated factors of multidimensional poverty among rural households in East Gojjam zone, Northern Ethiopia: a community-based cross-sectional study by Amare Wubishet Ayele, Yeshiwas Ewinetu, Asefa Delesho, Yirsie Alemayehu, Hayimro Edemealem

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Umbilical cord care practices and associated factors among mothers who gave birth in the last six months in hetosa district, Arsi zone, Ethiopia 2021: Community-based mixed design by Genat Balcha Abdi, Bekalu Kassie Alemu, Tensae KassaYizengaw, Beker Ahmed Hussein

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Intelligent health monitoring system based on smart clothing by Chung-Chih Lin, Chih-Yu Yang, Zhuhuang Zhou, Shuicai Wu

“…The accuracy, sensitivity, and specificity of fall detection using hidden Markov model were 97.92%, 90.00%, and 99.50%, respectively. …”
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Perturbation of an α-stable type stochastic process by a pseudo-gradient by Mykola Boiko, Mykhailo Osypchuk

“…A Markov process defined by some pseudo-differential operator of an order $1\lt \alpha \lt 2$ as the process generator is considered. …”
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STATISTICAL MODEL UPDATING AND STRUCTURAL PROBABILISTIC DAMAGE IDENTIFICATION BASED ON BAYESIAN METHOD by GAN Lu, CHEN Hui

“…A Bayesian model updating and damage identification method based on Markov chain sampling was proposed for damage identification of stochastics structures. …”
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Finite-State-Space Truncations for Infinite Quasi-Birth-Death Processes by Hendrik Baumann

“…For dealing numerically with the infinite-state-space Markov chains, a truncation of the state space is inevitable, that is, an approximation by a finite-state-space Markov chain has to be performed. …”
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Aspergillus nidulans: A Potential Resource of the Production of the Native and Heterologous Enzymes for Industrial Applications by Amit Kumar

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Seroprevalence of Asymptomatic Leishmania donovani among Laborers and Associated Risk Factors in Agricultural Camps of West Armachiho District, Northwest Ethiopia: A Cross-Sectiona... by Animen Ayehu, Yibeltal Aschale, Wossenseged Lemma, Animut Alebel, Ligabaw Worku, Ayalew Jejaw, Abebe Genetu Bayih

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A machine-learning reconstruction of sea surface <i>p</i>CO₂ in the North American Atlantic Coastal Ocean Margin from 1993 to 2021 by Z. Wu, Z. Wu, W. Lu, A. Roobaert, L. Song, X.-H. Yan, W.-J. Cai

“…Earlier <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula">₂</span> products have difficulties in capturing the heterogeneity of regional variations and decadal trends of <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula">₂</span> in the North American Atlantic Coastal Ocean Margin (NAACOM). This study developed a regional reconstructed <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula">₂</span> product for the NAACOM (Reconstructed Coastal Acidification Database-<span class="inline-formula"><i>p</i></span>CO<span class="inline-formula">₂</span>, or ReCAD-NAACOM-<span class="inline-formula"><i>p</i></span>CO<span class="inline-formula">₂</span>) using a two-step approach combining random forest regression and linear regression. …”
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Cooperative ARQ protocol based on switch and stay node selection in WSN by HU Ying-bo1, CAI Yue-ming1

“…A cooperative automatic repeat request（ARQ） protocol based on switch and stay node selection（SSNS-CARQ） was proposed,which could obtain high energy efficiency and reliable transmission at the same time.A Markov model for analyzing the system throughput was built,and system throughput performance of the proposed protocol and the traditional ARQ protocol were analyzed based on such model.Based on a widely used energy consumption model in WSN,the energy consumption performance of SSNS-CARQ protocol and the traditional ARQ protocol were discussed and compared in terms of energy efficiency,and the effects that positions of relay nodes imposed on energy efficiency were also disscussed.Numerical and simulation results validated the Markov model effective for analyzing the system throughput.It is shown that SSNS-CARQ protocol could perform better in terms of throughput and energy efficiency when compared with the traditional ARQ protocol through simulations.…”
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A Short Review on Synthesis, Characterization, and Applications of Zeolites by Tessema Derbe, Shewaye Temesgen, Mamaru Bitew

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Medication non-adherence and its predictors among patients with bipolar disorder in Northwest Ethiopia by Fasil Bayafers Tamene, Endalamaw Aschale Mihiretie, Tirsit Ketsela Zeleke, Ashenafi Kibret Sendekie, Eyayaw Ashete Belachew, Samuel Agegnew Wondm

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Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning by Ashagrew Liyih, Shegaw Anagaw, Minichel Yibeyin, Yitayal Tehone

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Modeling of Random Delays in Networked Control Systems by Yuan Ge, Qigong Chen, Ming Jiang, Yiqing Huang

“…In this paper, four major delay models are surveyed including constant delay model, mutually independent stochastic delay model, Markov chain model, and hidden Markov model. In each delay model, some promising compensation methods of delays are also addressed.…”
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Multiperiod Telser’s Safety-First Portfolio Selection with Regime Switching by Chuangwei Lin, Huiling Wu

“…Finally, by mathematical and numerical analysis, we analyze the effects of the disaster level, the risk control level, the transition matrix of the Markov chain, the expected excess return, and the variance of the risky return.…”
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Research on the Correlation between Information and Communication Technology Development and Consumer Spending Based on Artificial Intelligence and Time Series Econometric Model by Chaozhi Fan, Siong Hook Law, Saifuzzaman Ibrahim, N. A. M. Naseem

“…Moreover, this paper organically combines the advantages of wavelet analysis and hidden Markov model to construct a wavelet domain hidden Markov chain model. …”
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An Incremental-Hybrid-Yager’s Entropy Model for Dynamic Portfolio Selection with Fuzzy Variable by Yin Li, Jian Tao, Yazhi Song

“…In addition, fuzzy variables are utilized to represent prices of assets, while historical data based on Markov chain is exploited to estimate membership functions of fuzzy prices. …”
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离 子 通 道 门 控 动 力 学 研 究 by 方积乾　刘向明　倪涛洋　胡性本　周文清　游志颖　李彩霞

“…另外 ,作者还提出了 连续分组平均时间检测法,帮助确定 Markov 模型中状态的个数,与多指数拟合法相比 ,此方法更直观和易于操作。…”
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