La part de la fiction. A propos de quelques documentaires argentins by Joaquín Manzi

“…Martínez’s Estrellas (2007), P. Trapero’s Naikor (2001), and U. Rossel’s Bonanza (2001). The second one is self personnal story assumed by two missing’s sons : A. …”
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A Simple Repairable System with Warning Device by Xiao Zhang, Lina Guo

“…This paper considers a simple repairable system with a warning device which can signal an alarm when the system is not in good condition and a repairman who can have delayed-multiple vacations. By using Markov renewal process theory and the probability analysis method, the system is first described into a group of integrodifferential equations. …”
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On Discrete-Time Multiallelic Evolutionary Dynamics Driven by Selection by Thierry E. Huillet

“…In the deterministic formulation, we construct a Markov process whose Master equation identifies with the nonlinear deterministic evolutionary equation. …”
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Optimal approximation model of autocorrelation function of digital image by CHENG Xiao-gang1, CHEN Qi-mei1, CHENG Hao2, LIU Guo-qing2, AN Ming-wei1

“…Non-stationary stochastic signal was divided into piecewise stationary stochastic signal,and reflecting the sig-nal’s characteristics by autocorrelation function of the piecewise stationary stochastic signal.Generally,the autocorrela-tion function was the base of selecting signal base for signal representation.For expressing non-stationary stochastic sig-nal in a precise and effective way,based on the analysis of the natural characteristics of ARMA model and Markov proc-ess,a kind of multi-parameter estimation model of autocorrelation function for piecewise stationary stochastic process was proposed.The computational complexity was reduced,and the approximation effect was improved.Furthermore,the multi-parameter estimation model could also be adapted to the complex non-stationary stochastic signal,The computer simulation demonstrates that the approximation error was decreased significantly.…”
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Inference of Process Capability Index Cpy for 3-Burr-XII Distribution Based on Progressive Type-II Censoring by Rashad M. EL-Sagheer, Mustafa M. Hasaballah

“…The Bayesian estimates for the index Cpy have been obtained by the Markov Chain Monte Carlo method. Also, the credible intervals are constructed by using MCMC samples. …”
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Study on Minimum Contention Window Size Adjustment Algorithm Based on Neighbor Nodes Number Estimation in Vehicular Ad Hoc Network by Dapeng Li, Tao Yuan, Haitao Zhao

“…First of all, in order to minimize the collision probability, the relationship between minimum contention window（CWmin）and active node number n was deduced on the basis of Markov model IEEE 802.11 broadcast backoff. Then minimum contention window was adjusted dynamically by estimating the number of neighbor nodes in real time. …”
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Bayesian Nonparametric Modeling for Rapid Design of Metamaterial Microstructures by Bin Liu, Chunlin Ji

“…The inference is performed using a Markov chain relying on Gibbs sampling. Experimental results demonstrate that the proposed approach is highly efficient in facilitating rapid design of MTM with accuracy.…”
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Integrative systematics with structural monophyly and ancestral signatures: Chionoloma (Bryophyta) by Richard Zander

“…The methods include second-order morphological Markov chains, Shannon–Turing sequential Bayes statistical support, and multi-node molecular evidence of ancestry. …”
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RAZNOLIKOST I UGROŽENOST TRAVNJAKA NACIONALNOG PARKA SJEVERNI VELEBIT by Antun Alegro, Vedran Šegota

“…Očuvanje travnjaka morao bi biti prioritet upravljanja Parkom jer, osim iznimne bioraznolikosti, travnjaci nam ujedno govore i o prošlosti čitava područja, načinu života, privređivanja, kretanja te čine neizostavan i nemjerljivo važan dio prirodne i kulturne baštine.…”
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Bacteriological quality and predictors of raw meat collected from municipal slaughterhouse and butcher shops in northeast, Ethiopia by Leykun Berhanu, Adinew Gizeyatu, Masresha Abebe, Daniel Teshome, Mohammed Aragaw, Gete Berihun

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Individual and community level maternal factors for zero-dose children in Ethiopia using mini-EDHS 2019: a mixed effects model by Anteneh Kassa Yalew, Werkneh Melkie Tilahun, Meron Asmamaw Alemayehu, Tigabu Kidie Tesfie, Muluken Chanie Agimas, Mekuriaw Nibret Aweke, Worku Necho Asferie, Moges Tadesse Abebe

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Attitudes of nurses toward telenursing and influencing factors in resource-limited settings: Northwest Ethiopia 2022 by Fikadu Wake Butta, Biniyam Chaklu Tilahun, Berhanu Fikadie Endehabtu, Adamu Ambachew Shibabaw, Alex Ayenew Chereka, Ayenew Sisay Gebeyew, Mekides Molla Reda, Gemeda Wakgari Kitil, Teshome Demis Nimani

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Balance Harvest from the Forest as a Renewable Resource Using Game Theory by Ngakan Ketut Acwin Dwijendra, R. Sivaraman, Karthikeyan Kaliyaperumal, Rosario Mireya Romero-Parra

“…Since the amount of withdrawals of operating companies depends on the current inventory (t), the player’s behavior is determined by the system’s current state and then Markov equilibrium was obtained for them.…”
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Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMA by ZHANG Yun

“…The energy efficiency optimization problem was modeled as a Markov decision process, and it was solved by the deep deterministic policy gradient (DDPG) method. …”
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Testing Data Cloning as the Basis of an Estimator for the Stochastic Volatility in Mean Model by E. Romero, E. Ropero-Moriones

“…Notably, the estimates it provides yield superior outcomes than those derived from the Markov chain Monte Carlo (MCMC) method in terms of standard errors, all while being unaffected by the selection of prior distributions.…”
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Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data by Rashad M. EL-Sagheer, Mohamed S. Eliwa, Khaled M. Alqahtani, Mahmoud EL-Morshedy

“…In Bayesian framework, the Bayes estimates of the unknown parameters are evaluated by applying the Markov chain Monte Carlo technique, and highest posterior density credible intervals are also carried out. …”
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Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning by Biao ZHANG, Ximing WANG, Yifan XU, Wen LI, Hao HAN, Songyi LIU, Xueqiang CHEN

“…Dynamic transmission requirements and the limited cache space bring great challenges to wireless data transmission in the malicious jamming environment.Aiming at the above problems, a collaborative anti-jamming channel selection and data scheduling joint decision method for distributed internet of things was studied from the perspective of frequency domain and time domain.A data transmission model based on multi-user Markov decision process was constructed and a collaborativeanti-jamming joint-channel-and-data decision algorithm based on multi-agent deep reinforcement learning was proposed.Simulation results show that the proposed algorithm can effectively avoid the malicious jamming and the co-channel interference.Compared with the comparison algorithm, the network throughput is significantly improved, and the number of packet dropout is significantly reduced.…”
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Target Tracking Algorithm in Football Match Video Based on Deep Learning by Wei Zhao

“…Scale space discriminant tracking algorithm and Markov Monte Carlo algorithm are used to track single target or multi-target, respectively. …”
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Reliability and Availability Analysis of Some Systems with Common-Cause Failures Using SPICE Circuit Simulation Program by Muhammad Taher Abuelma'atti, Isa Salman Qamber

“…The effectiveness of SPICE circuit simulation program in calculating probabilities, reliability, steady-state availability and mean-time to failure of repairable systems described by Markov models is demonstrated. Two examples are presented. …”
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Nonzero-Sum Stochastic Differential Game between Controller and Stopper for Jump Diffusions by Yan Wang, Aimin Song, Cheng-De Zheng, Enmin Feng

“…This game is studied in a jump diffusions setting within Markov control limit. By a dynamic programming approach, we give a verification theorem in terms of variational inequality-Hamilton-Jacobi-Bellman (VIHJB) equations for the solutions of the game. …”
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