Cost-effectiveness of Apixaban for Stroke Prevention in Patients with Atrial Fibrillation in Algeria by Yazid Aoudia, Thitima Kongnakorn, Evie Merinopoulou, Mohamed Said Bettayeb, Sid Ahmed Kherraf

“…**Methods:** A previously published Markov model was adapted to the Algerian setting. …”
Get full text

An energy management strategy for integrated electricity-thermal energy systems using the DQN-CE algorithm by ZHU Jiejie, PI Zhiyong, CHEN Daicai, TAN Hong

“…Next， the energy management process of the system， which includes renewable energy， is transformed into a Markov decision process （MDP）. The DQN-CE （Deep Q-Network with cross-entropy） algorithm， integrating NoisyNet and a self-attention mechanism， is then used to train the agent through interactive learning. …”
Get full text

Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites by Hanchen Jiang, Peng Lin, Qixiang Fan, Maoshan Qiang

“…By employing the hidden Markov model (HMM), the RTSRA provides a mechanism for processing location data provided by the real-time location system (RTLS) and analyzing the probability distributions of different states in terms of false positives and negatives. …”
Get full text

Prenatal vitamin utilization and its determinants among pregnant women in south Gondar zone: multicenter cross-sectional study by Begizew Yimenu Mekuriaw, Dagne Addisu, Wassie Yazie Ferede, Fillorenes Ayalew Sisay, Assefa kebie Mitiku, Tegegne Wale Belachew, Tigist Seid Yimer, Habtie Bantider Wubet, Selamawit Girma Tadesse, Negesse Zurbachew Gobezie, Alemie Fentie Mebratie, Moges Kefale Alachew, Temesgen Dessie Mengistu, Yonas Zenebe Yiregu, Rahel Birhanu Arage, Anteneh Mengist Dessie, Fikadu Geremew Gebeyehu, Geremew Bishaw Mekonen, Habtam Desse Alemayehu, Abeba Belay Ayalew, Yitayal Ayalew Goshu, Besfat Berihun Erega

Get full text

Knowledge towards health impacts of climate change among Amhara Sayint community, Northeastern Ethiopia by Genanew Mulugeta Kassaw, Asmamaw Malede, Adinew Gizeyatu, Metadel Adane, Asha Embrandiri, Awoke Keleb, Gete Berihun, Abebe Kassa Geto, Belachew Tekleyohannes Wogayehu, Gebremeskel Kibret Abebe, Tibebu Habtie Zewde, Sisay Abebe Debela, Solomon Seyoum, Amana Ogeto Luke, Gashaw Wondaya, Atitegeb Abera Kide, Mekonnen Moges, Denise Metoyer, Mesfin Gebrehiwot

Get full text

EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Effectively managing the intrinsic uncertainties via partially observable Markov decision processes (POMDPs) constitutes a persistent challenge within the realm of pen‐testing. …”
Get full text

Efectos de saltos inesperados en el gasto público y variables demográficas en el crecimiento económico. El caso mexicano con un enfoque GARCH con saltos (1936-2012) by Claudia Estrella Castillo-Ramírez, Francisco Venegas-Martínez, Francisco López-Herrera

“…Para ello se supone que las dinámicas estocásticas del gasto público y de la población son conducidas por procesos de difusión con saltos modulados por una cadena de Markov. Los resultados más importantes son que los saltos bruscos e inesperados en el gasto público per cápita y en el crecimiento de la población impactan negativamente la tasa de crecimiento per cápita del producto. …”
Get full text

Modelling and optimization of residential electricity load under stochastic demand by Kizito Mubiru, Maureen Ssempijja

“…Considering a multi-period planning horizon, an optimal decision was determined for loading or not loading additional electricity units using the Markov decision process approach. The model was tested, and the results demonstrated the existence of optimal state-dependent decision and consumption costs considering the case study used in this study. …”
Get full text

Analysis of competing risks model using the generalized progressive hybrid censored data from the generalized Lomax distribution by Amal Hassan, Sudhansu Maiti, Rana Mousa, Najwan Alsadat, Mahmoued Abu-Moussa

“…Bayesian estimators under gamma priors with different loss functions were generated using Markov chain Monte Carlo, and confidence intervals (CIs) were generated using the ML estimation method. …”
Get full text

Cost-effectiveness Analysis of Radium-223 Dichloride in Metastatic Castration-Resistant Prostate Cancer Patients Without Previous Chemotherapy Treatment in Spain by Eva Tirado Mercier, Daniel Callejo Velasco, Marta Rubio Cabezas, Cristina Moretones Agut, Meritxell Granell Villalón

“…**Design and methods:** A Markov model was developed to compare radium-223 versus BSC and to accrue the health outcomes and costs of a simulated cohort of mCRPC patients. …”
Get full text

Convergence Speed of Bermudan, Randomized Bermudan, and Canadian Options by Guillaume Leduc

“…Our framework is quite general, encompassing Lévy models, stochastic volatility models, and nearly any risk-neutral model that can be incorporated within a strong Markov framework. We extend our analysis to Canadian options, showing under mild conditions a convergence rate of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>/</mo><msqrt><mi>n</mi></msqrt></mrow></semantics></math></inline-formula> to their American limits. …”
Get full text

Optimal life-cycle adaptation of coastal infrastructure under climate change by Ashmita Bhattacharya, Konstantinos G. Papakonstantinou, Gordon P. Warn, Lauren McPhillips, Melissa M. Bilec, Chris E. Forest, Rahaf Hasan, Digant Chavda

“…In this work, we thus formulate climate risk management as a dynamic decision-making problem based on Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), taking real-time data into account for evaluating the evolving conditions and related model uncertainties, in order to select the best possible life-cycle actions in time, with global optimality guarantees for the formulated optimization problem. …”
Get full text

Real-Time On-Orbit Estimation Method for Microthruster Thrust Based on High-Precision Orbit Determination by Qinglin Yang, Weijing Zhou, Hao Chang

“…By establishing a high-precision orbit dynamic model, the microthrust generated by a microthruster is modeled as a first-order Markov model, combined with a high-precision GNSS measuring device, and the satellite position is obtained through the cubature Kalman filter algorithm, velocity, and thrust real-time on-orbit estimates. …”
Get full text

Funding the New Biologics – CCOHTA Report on the Cost Effectiveness of Infliximab for Crohn’s Disease: Pearls and Pitfalls by John K Marshall

“…The Canadian Coordinating Office for Health Technology Assessment (CCOHTA) published an economic analysis, using a Markov model, of infliximab therapy for Crohn’s disease that is refractory to other treatments. …”
Get full text

Cost-effectiveness Analysis of Rivaroxaban versus Acenocoumarol in the Prevention of Stroke in Patients with Non-valvular Atrial Fibrillation in Spain by Carlos Rubio-Terrés, Ruth Graefenhain de Codes, Darío Rubio-Rodríguez, Thomas Evers, Santiago Grau Cerrato

“…**Objective:** The aim of this study was to evaluate, from the Spanish National Health System perspective, the cost-effectiveness of rivaroxaban (20 mg/day) versus use of acenocoumarol (5 mg/day) for the treatment of patients with non-valvular atrial fibrillation (NVAF) at moderate to high risk for stroke. **Methods:** A Markov model was designed and populated with local cost estimates, efficacy and safety of rivaroxaban in stroke prevention in NVAF compared with adjusted-dose warfarin clinical results from the pivotal phase III ROCKET AF trial and utility values obtained from the literature. …”
Get full text

Entropy-Based Stochastic Optimization of Multi-Energy Systems in Gas-to-Methanol Processes Subject to Modeling Uncertainties by Xueteng Wang, Jiandong Wang, Mengyao Wei, Yang Yue

“…Second, Bayesian estimation theory and the Markov Chain Monte Carlo approach are employed to analyze the differences between historical data and model predictions under varying operating conditions, thereby quantifying modeling uncertainties. …”
Get full text

The mediating role of parental attachment in the relationship between parenting styles and identity achievement among secondary and preparatory school students by Shimelis Anley Tizazu, Demeke Wolle Ambaye

“…To this purpose, 375 adolescent students were drawn from four secondary and preparatory schools in Debre Markos town using proportional stratified sampling technique. …”
Get full text

A vinculação entre os fatores extralinguísticos e o significado lexical na tradução de legendas: o colombianismo hágale em foco by Valdecy Oliveira Pontes, Roberto Saboya Jorge de Souza Junior

“…Nesse sentido, o objetivo deste trabalho é analisar as escolhas linguísticas dos legendistas ao transporem para o português do Brasil o colombianismo “hágale”, emitido na série colombiana Narcos. Para essa finalidade, basear-nos-emos no dicionário Colômbia (2018), na perspectiva de tradução da variação de Mayoral (1998) e na tradução audiovisual de Díaz Cintas (2003). …”
Get full text

Development of an AI-Enabled Q-Agent for Making Data Offloading Decisions in a Multi-RAT Wireless Network by Murk Marvi, Adnan Aijaz, Anam Qureshi, Muhammad Khurram

“…We use stochastic geometry as a tool for estimating the average data rate offered by the network in a given region by considering the effect of interference. We use the Markov process for modeling users’ mobility, that is, estimating the probability that a user is currently located in a region given its previous location. …”
Get full text

Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing by Feifan Zhu, Fei Huang, Yantao Yu, Guojin Liu, Tiancong Huang

“…To address these challenges, this paper introduces an innovative multi-agent deep learning framework that conceptualizes multi-UAV trajectory optimization as a decentralized partially observable Markov decision process (Dec-POMDP). This framework integrates the QTRAN algorithm with a large language model (LLM) for efficient region decomposition and employs graph convolutional networks (GCNs) combined with self-attention mechanisms to adeptly manage inter-subregion relationships. …”
Get full text