Weight trajectories in aging humanized APOE mice with translational validity to human Alzheimer's risk population: A retrospective analysis. by Francesca Vitali, Jean-Paul Wiegand, Lillian Parker-Halstead, Allan Tucker, Roberta Diaz Brinton

“…Autoregressive Hidden Markov Model (AHMM) incorporating age, sex, and APOE genotype was employed to identify emergent weight trajectories and phenotypes. …”
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FS-DDPG: Optimal Control of a Fan Coil Unit System Based on Safe Reinforcement Learning by Chenyang Li, Qiming Fu, Jianping Chen, You Lu, Yunzhe Wang, Hongjie Wu

“…The key innovation lies in applying a constrained Markov decision process to model the FCU control problem, where a penalty term for process constraints is incorporated into the reward function, and constraint tightening is introduced to limit the action space. …”
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Estimating the Relative Risks of Spatial Clusters Using a Predictor–Corrector Method by Majid Bani-Yaghoub, Kamel Rekab, Julia Pluta, Said Tabharit

“…Building on our prior research, we propose a predictive Markov chain model with an embedded corrector component. …”
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Cost-Effectiveness Analysis for the Treatment of Hyperphosphatemia in Predialysis Patients: Calcium-Based versus Noncalcium-Based Phosphate Binders by B. L. Goh, A. Soraya, A. Goh, K. L. Ang

“…This study analyzes the cost-effectiveness of sevelamer versus CaCO3 for the treatment of hyperphosphatemia in stage III-V predialysis CKD patients in Malaysia. Methods. A Markov decision model was adapted to simulate a hypothetical cohort of CKD patients requiring treatment for hyperphosphatemia. …”
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ST. MARCO BAZİLİKASI YARATILIŞ KUBBESİ MOZAİKLERİ by Demet Okuyucu

“…İtalya’nın kuzeydoğusunda yer alan Venedik kentinin en önemli tarihi eserlerinden birisi, Aziz Markos’un röliklerinin muhafaza edilmesi amacıyla inşa edilen, St.Marco Bazilikasıdır. …”
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Tripartite organization of brain state dynamics underlying spoken narrative comprehension by Lanfang Liu, Jiahao Jiang, Hehui Li, Guosheng Ding

“…How the brain handles the diverse streams of information processing remains poorly understood. Applying Hidden Markov Modeling to fMRI data obtained during spoken narrative comprehension, we reveal that the whole brain networks predominantly oscillate within a tripartite latent state space. …”
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Cost effectiveness of empagliflozin in adult patients with chronic kidney disease in the Netherlands. by Bart Slob, Tanja Fens, Maaike Weersma, Maarten Postma, Cornelis Boersma, Lisa de Jong

“…<h4>Methods</h4>A cost-effectiveness analysis was conducted using a Markov state microsimulation model, simulating kidney progression of CKD patients with eGFR <90 ml/min per 1.73 m2 comparing empagliflozin plus standard of care (SoC) and SoC alone. …”
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Balancing Profit and Cultural Heritage: Multi-Objective Dynamic Pricing for Hanfu Using Deep Deterministic Policy Gradient by Qingcong Zhao, Guanghui Mao, Shen Wang

“…To address this challenge, we developed a dynamic pricing simulation environment based on a Markov Decision Process (MDP) and introduced a novel multi-objective hybrid particle swarm optimization algorithm combined with Deep Deterministic Policy Gradient (DDPG), referred to as MOHPSO-DDPG. …”
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Cost-utility and budget impact analysis of laparoscopic bariatric surgery for obesity with Type II Diabetes Mellitus in Thailand. by Prapaporn Noparatayaporn, Montarat Thavorncharoensap, Usa Chaikledkaew, Panu Looareesuwan, Prapimporn Chattranukulchai Shantavasinkul, Preeda Sumritpradit, Ammarin Thakkinstian

“…This study aims to evaluate the cost-effectiveness of bariatric surgery, as compared to nonbariatric surgery, in patients with body mass index (BMI) ≥32.5 kg/m2 and type 2 diabetes mellitus (T2DM), and to estimate the budget impact of bariatric surgery in Thailand.<h4>Methods</h4>A Markov model was developed to estimate and compare total costs incurred and quality-adjusted life years (QALYs) gained between bariatric surgery and nonbariatric surgery over lifetime horizontal. …”
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Fast In-House Next-Generation Sequencing in the Diagnosis of Metastatic Non-small Cell Lung Cancer: A Hospital Budget Impact Analysis by Ubong Silas, Maximilian Blüher, Antonia Bosworth Smith, Rhodri Saunders

“…**Methods:** The differences between 2 hospital pathways were established with a cohort-level decision tree that feeds into a Markov model. A pathway that used in-house NGS (75%) and the use of external laboratories (so-called send-out NGS) (25%), was compared with the standard of exclusively send-out NGS. …”
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Enhancing magnetic and electrochemical properties of cobalt modified ZnS nanoparticles: A facile synthesis approach by Pawan Kumar Pathak, Devendra Kumar, Santosh J. Uke, Amit Kumar Singh, Manika Chaudhary, Neha V. Brahmankar, Subodh Kumar Sharma, Beer Pal Singh, Ashwani Kumar

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Bayesian Approach to Equipartition Estimation of Magnetic Field Strength by Adam A. Zychowicz, Krzysztof T. Chyży

“…In the examples presented, we used two different Markov Chain Monte Carlo methods to generate the posterior distribution of the magnetic field. …”
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Economic Evaluation of Boceprevir for the Treatment of Patients with Genotype 1 Chronic Hepatitis C Virus Infection in Hungary by Raymond Odhiambo, Jagpreet Chhatwal, Shannon Allen Ferrante, Antoine El Khoury, Elamin Elbasha

“…The objective of this study was to evaluate the cost-effectiveness of triple therapy in both treatment-naive and treatment-experienced patients in Hungary. **Methods:** A Markov model was developed to evaluate the long-term clinical benefits and the costeffectiveness of the triple therapy from the Hungarian payer perspective. …”
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EMPIRICAL VERIFICATION OF THE STRUCTURAL MODEL RELATING EQUILIBRIUM VALUES OF COSTS, QUALITY, AND COMFORT OF MEDICAL SERVICES WITH INDIVIDUALIZED ELASTICITIES OF DEMAND by Oleg Klymenyuk, Oleksandr Ocheredko, Volodymyr Klymenyuk, Anastasiia Rudenko

“…The modern Monte Carlo Markov Chain (МСМС) methods of structural modeling and power analysis were used to estimate the required sample size. …”
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Transfer Learning-Empowered Physical Layer Security in Aerial Reconfigurable Intelligent Surfaces-Based Mobile Networks by Yosefine Triwidyastuti, Tri Nhu Do, Ridho Hendra Yoga Perdana, Kyusung Shim, Beongku An

“…We explore different mobility models, including random walk, Gauss-Markov, and reference point group mobility, to assess their impact on key security metrics such as secrecy capacity and average secrecy rate. …”
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Lifetime risks of kidney donation: a medical decision analysis by Bryce A Kiberd, Karthik K Tennankore

“…Objective This study estimated the potential loss of life and the lifetime cumulative risk of end-stage renal disease (ESRD) from live kidney donation.Design Markov medical decision analysis.Setting USA.Participants 40-year-old live kidney donors of both sexes and black/white race.Intervention Live donor nephrectomy.Main outcome and measures Potential remaining life years lost, quality-adjusted life years (QALYs) lost and added lifetime cumulative risk of ESRD from donation.Results Overall 0.532–0.884 remaining life years were lost from donating a kidney. …”
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Cost-effectiveness and budget impact of Empirical vitamin D therapy on unintentional falls in older adults in the UK by J Smith, J S Davies, C D Poole

“…Objectives To evaluate the health outcomes and economics associated with the current guidance relating to the prevention of falls in the elderly through vitamin D supplementation.Setting UK.Participants UK population aged 60 years and above.Interventions A Markov health state transition model simulated patient transitions between key fall-related outcomes using a 5-year horizon and annual cycles to assess the costs and benefits of empirical treatment with colecalciferol 800 iu daily.Primary and secondary outcome measures Costs and health outcomes attributable to fall prevention following vitamin D supplementation.Results Our model shows that treating the UK population aged 60 years and above with 800 iu colecalciferol would, over a 5-year period: (1) prevent in excess of 430 000 minor falls; (2) avoid 190 000 major falls; (3) prevent 1579 acute deaths; (4) avoid 84 000 person-years of long-term care and (5) prevent 8300 deaths associated with increased mortality in long-term care. …”
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Discrete coordination nanochains based on photoluminescent dyes reveal intrachain exciton migration dynamics by Ryojun Toyoda, Naoya Fukui, Haru Taniguchi, Hiroki Uratani, Joe Komeda, Yuta Chiba, Hikaru Takaya, Hiroshi Nishihara, Ryota Sakamoto

“…Readily accessible absorption spectroscopy, and photoluminescence lifetime and quantum yield measurements allow the construction of continuous-time Markov chains model, thereby estimating non-trivial exciton migration across the metal center.…”
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Distance-Based Congestion Pricing with Day-to-Day Dynamic Traffic Flow Evolution Process by Qixiu Cheng, Jiping Xing, Wendy Yi, Zhiyuan Liu, Xiao Fu

“…A very clear and concise model named logit-type Markov adaptive learning model is then proposed to depict commuters’ day-to-day route choice behaviors. …”
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Integrating Multilayer Perceptron and Support Vector Regression for Enhanced State of Health Estimation in Lithium-Ion Batteries by Sadiqa Jafari, Jisoo Kim, Wonil Choi, Yung-Cheol Byun

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