PREDSEDNIČKA KRIZA U VENECUELI: UZROCI, AKTERI I PERSPEKTIVE by Vladimir Trapara

“…Rezultat istraživanja pokazuje da je u krizu odvelo hronično loše upravljanje Venecuele naftom kao osnovnom polugom njene ekonomije i društva, i to na području hegemonije SAD, s kojima se sukobio čavistički projekat izgradnje venecuelanskog društva i regionalno aktivne spoljne politike. …”

Estimation of the coefficients of variation for inverse power Lomax distribution by Samah M. Ahmed, Abdelfattah Mustafa

“…Additionally, it is recommended to use the Markov Chain Monte Carlo (MCMC) method to calculate the Bayes estimate and generate posterior distributions. …”
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Performance Analysis for Priority-Based Broadcast in Vehicular Networks by Rinara Woo, Jung-Hoon Song, Dong Seog Han

“…Firstly, an analytical Markov chain model for vehicle-to-vehicle (V2V) ad hoc communication networks is proposed for broadcasting messages with priority based on the IEEE 802.11p wireless access for vehicular environments (WAVE) standard. …”
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Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR by Xinzheng Zhang, Zhouyong Liu, Shujun Liu, Guojun Li

“…Secondly, the time-frequency feature vectors are extracted from the time-frequency matrix utilizing NMF. Finally, hidden Markov models (HMMs) are employed to characterize the time-frequency feature vectors corresponding to one target and are used to being the recognizer. …”
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Achieving employee engagement through effective internal communication by Senelisiwe Mbhele, Estelle de Beer

“…Previous research (Albrecht, 2010; Andrew & Sofian, 2012; Hayase, 2009; Mamdoo, 2012; Markos & Sridevi, 2010; Meng & Berger, 2012; Ruck & Welch, 2012; Welch & Jackson, 2007; Welch, 2011) has linked this process to employee engagement, which generally refers to “a positive fulfilling, work-related state of mind that is characterised by vigour, dedication and absorption.” …”
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Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimization by Shun-fu JIN, Shan-shan HAO, Bao-shuai WANG

“…Due to the increasingly strict environmental standards,high pollution and high energy consumption have become the significant factors restricting the development of cloud data centers (CDC).Under the premise of guaranteeing the quality of service (QoS) of CDC,dynamic power management (DPM) technology was applied,synchronous multiple working sleep mode was introduced,and a novel virtual machine (VM) scheduling strategy was proposed.By establishing a two-dimensional continuous-time Markov stochastic model with adaptive service rate and synchronous multiple work vacations,and using the method of a matrix geometric solution,the performance of the VM scheduling strategy was evaluated in terms of energy saving level and average delay of requests.Numerical results with analysis and simulation verify the energy saving effectiveness of the VM scheduling strategy.In order to achieve a reasonable balance between the response performance and the energy-saving effect,a system utility function was constructed from the perspective of economics and design a researching algorithm of the sleep parameter based on the firefly algorithm(FA).…”
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Smartphone System for Heart Rate and Breathing Rate Estimation by Amit Nayak, Miodrag Bolic

“…We collected 3-axis accelerometer, gyroscope, and magnetometer signals and performed sensor fusion to extract a user’s breathing signal and breathing rate. A hidden Markov model was used to segment the ballistocardiograph/seismocardiograph signals and extract the heart rate. …”
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离子通道镶嵌点过程模型在 K+通道研究中的应用

“…结果: 该模型与观察资料拟合效果良好 ; 17β-雌二醇能 改变海马锥体细胞钾离子单通道的记忆; 17β-雌二醇对关闭的影响比对开放的影响大, 从而表现为对通道具有抑制作用: 浓 度为10 nmol/L 组的 17 β-雌二醇对通道记忆的影响比对浓度为 0. 1 nmol/L 组的大。结论: Markov 模型的常规分析只能得到 17 β-雌二醇对海马锥体细胞钾离子单通道具有抑制作用,而用本模型分析能得到更多通道的信息。…”
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Quantized Dissipative Observer-Based Output Feedback Control for a Class of Markovian Descriptor Jump Systems with Communication Delay by Muhammad Shamrooz Aslam, Xisheng Dai

“…To accomplish the objective, a uniform framework is employed to design the delayed Markov observer-based controller and event-triggered scheme. …”
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Optimal Throughput for Cognitive Radio with Energy Harvesting in Fading Wireless Channel by Hiep Vu-Van, Insoo Koo

“…Finding an optimal approach is formulated as a partially observable Markov decision process. The simulation results show that the proposed optimal decision scheme outperforms the myopic scheme in which current throughput is only considered when making a decision.…”
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Event-Based Time Varying Formation Control for Multiple Quadrotor UAVs with Markovian Switching Topologies by Zhen Zhou, Hongbin Wang, Zhongquan Hu

“…Instead of the general stochastic topology, the graph is governed by a set of Markov chains to the edges, which can recover the traditional Markovian switching topologies in line with the practical communication network. …”
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The SEIRS-NIMFA epidemiological model for malware propagation analysis in IoT networks by Laura Quiroga-Sánchez, Germán A. Montoya, Carlos Lozano-Garzon

“…Moreover, to address the Markov chain approach’s high temporal and spatial complexity, we use the n-intertwined mean-field approximation method. …”
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A Mixed Prediction Model of Ground Subsidence for Civil Infrastructures on Soft Ground by Kiyoshi Kobayashi, Kiyoyuki Kaito

“…Concretely speaking, in order to estimate the updating models, Markov Chain Monte Calro method, which is the frontier technique in Bayesian statistics, is applied. …”
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Using statistical traffic analysis to calculate the confidential means of information transmission by Нух Таха Насіф

“…Formulation of planning problems as a decentralized partially observable Markov decision-making process (DEC-POMDP) allows to make decisions in a distributed manner on each device without the need of centralized management.…”
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D2D cooperative caching strategy based on graph collaborative filtering model by Ningjiang CHEN, Linming LIAN, Pingjie OU, Xuemei YUAN

“…A D2D cooperative caching strategy based on graph collaborative filtering model was proposed for the problem of difficulty in obtaining sufficient data to predict user preferences in device-to-device (D2D) caching due to the limited signal coverage of base stations.Firstly, a graph collaborative filtering model was constructed, which captured the higher-order connectivity information in the user-content interaction graph through a multilayer graph convolutional neural network, and a multilayer perceptron was used to learn the nonlinear relationship between users and content to predict user preferences.Secondly, in order to minimize the average access delay, considering user preference and cache delay benefit, the cache content placement problem was modeled as a Markov decision process model, and a cooperative cache algorithm based on deep reinforcement learning was designed to solve it.Simulation experiments show that the proposed caching strategy achieves optimal performance compared with existing caching strategies for different content types, user densities, and D2D communication distance parameters.…”
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Modeling and Analysis of Ecological Urban Landscape Pattern Evolution Based on Multisource Remote Sensing Data by Zhang Min, Wang Xuejie, Liu Yun

“…Taking ecotype city as the research object, the remote sensing images of ecological urban landscape pattern are screened by using multisource remote sensing data and nonremote sensing data as the basic data. CA-Markov model is constructed and the evolution of ecological urban landscape pattern is analyzed. …”
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The Holling Type II Population Model Subjected to Rapid Random Attacks of Predator by Jevgeņijs Carkovs, Jolanta Goldšteine, Kārlis Šadurskis

“…Assuming that the averaged dynamical system is the classic Holling type II population model with asymptotically stable limit cycle, we prove that the dynamics of stochastic model may be approximated with a two-dimensional Gaussian Markov process with unboundedly increasing variances.…”
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The Study of Mean-Variance Risky Asset Management with State-Dependent Risk Aversion under Regime Switching Market by Shuang Li, Yu Yang, Yanli Zhou, Yonghong Wu, Xiangyu Ge

“…To cope with this problem, firstly, this paper explores the approach of asset-liability management under the state-dependent risk aversion with only risky assets, which has been considered under a continuous-time Markov regime-switching setting. Next, based on this realistic modelling, an extended Hamilton-Jacob-Bellman (HJB) system has been necessarily established for solving the optimization problem of asset-liability management. …”
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On Quantum Natural Policy Gradients by Andre Sequeira, Luis Paulo Santos, Luis Soares Barbosa

“…While previous studies have highlighted the effectiveness of PQC-based policies preconditioned with the quantum FIM in contextual bandits, its impact in broader reinforcement learning contexts, such as Markov decision processes, is less clear. Through a detailed analysis of Löwner inequalities between quantum and classical FIMs, this study uncovers the nuanced distinctions and implications of using each type of FIM. …”
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Energetics of substrate transport in proton-dependent oligopeptide transporters by Balaji Selvam, Nicole Chiang, Diwakar Shukla

“…In this study, we used molecular dynamics simulations, Markov State Models (MSMs), and Transition Path Theory (TPT) to investigate the transport mechanism of an alanine-alanine peptide (Ala-Ala) through the PepTSo transporter. …”
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