Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations. by Cécile Triay, Alice Boizet, Christopher Fragoso, Anestis Gkanogiannis, Jean-François Rami, Mathias Lorieux

“…Furthermore, the algorithm is not only highly effective in terms of precision and recall but is also particularly economical in its use of RAM and computation time, being much faster than Hidden Markov Model methods.<h4>Availability</h4>NOISYmputer and its source code are available as a multiplatform (Linux, macOS, Windows) Java executable at the URL https://gitlab.cirad.fr/noisymputer/noisymputerstandalone/-/tree/1.0.0-RELEASE?…”
Get full text

Julius Kruopis – the pioneer of applied statistics in Lithuania by Vilijandas Bagdonavičius, Vydas Čekanavičius, Rūta Levulienė, Pranas Vaitkus

“…PhD thesis ``Estimation of Markov processes parameters'' by J. Kruopis, defended in 1969 in Moscow (supervised by prof. …”
Get full text

VELEBIT I ZAŠTITA PRIRODE by ZORAN ŠIKIĆ, DENIS GURLICA, TOMISLAV ŠARIĆ

“…Šire područje Paklenice s površinom od 9.500 ha je zbog svoje prirodne osnove, geomorfoloških oblika i očuvanih šuma proglašeno među prvima nacionalnim parkom (iste godine kad i Plitvička jezera). U sjevernom dijelu Velebita 1999. s površinom od 10.900 ha proglašen je nacionalni park Sjeverni Velebit, prepoznatljiv po bioraznolikosti i iskonskoj divljini. …”
Get full text

Causal Discovery of Flight Service Process Based on Event Sequence by Qian Luo, Lin Zhang, Zhiwei Xing, Huan Xia, Zhao-Xin Chen

“…Under this framework, this paper proposes a new Markov blanket discovery algorithm that does not assume causal sufficiency to discover causal factors and uses benchmark data sets for testing. …”
Get full text

Cosmic Chronometers, Pantheon+ Supernovae, and Quasars Favor Coasting Cosmologies over the Flat ΛCDM Model by Peter Raffai, Adrienn Pataki, Rebeka L. Böttger, Alexandra Karsai, Gergely Dálya

“…We used the emcee code for fitting CC data, a custom Markov Chain Monte Carlo implementation for SNe and QSOs, and Anderson–Darling tests for normality on normalized residuals for model comparison. …”
Get full text

Optimizing Healthcare Expenditure for Spinal Cord Stimulation in Italy: The Value of Battery Longevity Improvement and a Direct-to-Implant Approach by Federica Tito, Gianfranco Sindaco, Simon Eggington, Elisa Tacconi, Francesca Borghetti, Mara Corbo, Gilberto Pari

“…The battery longevity of the newest Device C was estimated at comparable stimulation settings for Devices A and B. A Markov model simulated individual patient pathways across 2 scenarios: Device A vs Device C and Device B vs Device C (both with the DTI approach and 2-step approach). …”
Get full text

Screening of household contacts for TB infection in Cote d'Ivoire by R. K. N’Guessan, D. A. B. Orsot, J.M. Ahui Brou, N. K. Bamba, M. E. Tchoutedjem Mefo, A. S. Bakayoko

“…Principal outcomes relating to TBI screening, as well as the lifetime costs and benefits of the patient cohort, were captured using a decision tree, followed by a Markov model. RESULTS: QuantiFERON proved to be both more effective and less costly than TST. …”
Get full text

Consequences of COVID-19 for geriatric patients during a pandemic by Ludwig Wemhöner, Charlotte Brandts, Hannah Dinse, Eva-Maria Skoda, Sarah Jansen, Martin Teufel, Hana Rohn, Richard Dodel

“…Further research, including international studies like NAPKON, are encouraged to confirm these findings and explore potential interventions for improved outcomes in this vulnerable population.…”
Get full text

Cost-effectiveness analysis of durvalumab with chemotherapy and maintenance durvalumab with or without olaparib for advanced endometrial cancer by Jiahao Zhang, Jianying Lei, Caicong You, Wu Fu, Bin Zheng, Hongfu Cai, Maobai Liu, Na Li

“…Abstract This study evaluates the cost-effectiveness of adding durvalumab to chemotherapy, with subsequent maintenance either with olaparib (DOCT) or without olaparib (DCT), versus chemotherapy alone (CT) as a first-line treatment for advanced endometrial cancer (EC) in the United States, stratified by mismatch repair deficiency (dMMR) and proficiency (pMMR). A Markov model based on DUO-E Phase III trial data simulated disease progression and outcomes. …”
Get full text

Targeted Therapies Compared to Dacarbazine for Treatment of BRAFV600E Metastatic Melanoma: A Cost-Effectiveness Analysis by Vanessa Shih, Renske M. ten Ham, Christine T. Bui, Dan N. Tran, Jie Ting, Leslie Wilson

“…We evaluated the cost-effectiveness of BRAF inhibitors and traditional chemotherapy for treatment of metastatic melanoma. Methods. A Markov model was developed using a societal perspective. …”
Get full text

Cost-Effectiveness of the CNIC-Polypill Strategy Compared With Separate Monocomponents in Secondary Prevention of Cardiovascular and Cerebrovascular Disease in Portugal: The MERCUR... by Carlos Aguiar, Francisco Araujo, Gabriel Rubio-Mercade, David Carcedo, Silvia Paz, Jose María Castellano, Valentín Fuster

“…**Objectives:** To assess the cost-effectiveness of a CV polypill strategy (CNIC-Polypill) compared with the loose combination of monocomponents to improve the control of CV risk factors in patients with previous coronary heart disease or stroke. **Methods:** A Markov model cost-utility analysis was developed using 4 health states, SMART risk equation, and 3-month cycles for year 1 and annual cycles thereafter, over a lifetime horizon from the perspective of the National Health System in Portugal (base case). …”
Get full text

A cost-utility analysis of adding SGLT2 inhibitors for the management of type 2 diabetes with chronic kidney disease in Thailand by Natthakan Chitpim, Pattara Leelahavarong, Juthamas Prawjaeng, Sakditat Ittiphisit, Varalak Srinonprasert, Tanawan Kongmalai

“…This study evaluates the cost-utility of adding SGLT2i (dapagliflozin, empagliflozin, and canagliflozin) to standard of care therapy (SoCT) for T2D patients with CKD in Thailand. A lifetime Markov model assessed economic and clinical outcomes. …”
Get full text

A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins by Thi-Duyen Nguyen, Duc Hai Nguyen, Hyun-Han Kwon, Deg-Hyo Bae

“…By utilizing an adaptive Markov chain Monte Carlo (MCMC) simulation method combined with three comprehensive uncertainty assessment measures, the developed framework focuses on evaluating the uncertainty inherent in RRMs. …”
Get full text

Comparison of three recent discrete stochastic inversion methods and influence of the prior choice by Juda, Przemysław, Straubhaar, Julien, Renard, Philippe

“…In this work, we present and compare three recent inverse frameworks: Posterior Population Expansion (PoPEx), Ensemble Smoother with Multiple Data Assimilation (ESMDA), and DREAM-ZS (a Markov chain Monte Carlo sampler). PoPEx and ESDMA are used with Multiple-point statistics (MPS) as geostatistical engines, and DREAM-ZS is used with a Wasserstein generative adversarial network (WGAN). …”
Get full text

Comparing Prednisone and Methotrexate to Off-label Biologic Infliximab for Management of Ocular Uveitis: A Cost-minimization Analysis by William V. Padula, Miguel Cordero-Coma, Taygan Yilmaz, William V. Padula, Michéal J. Gallagher, Jonathan D. Campbell

“…**Methods:** A cost-effectiveness analysis using a Markov model to simulate a patient cohort with posterior uveitis or panuveitis. …”
Get full text

Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000–2030 by Yuliang Deng, Min Huang, Daohong Gong, Yong Ge, Hui Lin, Daoye Zhu, Yong Chen, Orhan Altan

“…This study introduces an analytical framework that couples economic development with ecological protection by using coupling coordination degree analysis, carbon balance zoning, and the Markov-PLUS model. Taking Jiangxi Province as a case study, we evaluate the spatio-temporal dynamics of carbon balance from 2000–2020 and predict future trends for 2030 under four potential development scenarios. …”
Get full text

Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier by Rachel Mawer, Jelger Elings, Stijn P. Bruneel, Ine S. Pauwels, Eliezer Pickholtz, Renanel Pickholtz, Johan Coeck, Peter L.M. Goethals

“…Fish were tracked via 2D acoustic telemetry. Hidden Markov models were used to distinguish behavioural states and step selection functions were applied to determine habitat selection by the fish in each state. …”
Get full text

Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

“…Multi-modal data features of different machining states are then obtained using time–frequency domain methods and Markov transition field methods. Sensitivity analysis of time–frequency domain features is conducted using Pearson correlation coefficient analysis. …”
Get full text

Supporting Smart Manufacturing in the Space Industry: A Case Study by Ala Arman, Andrea Lombardo, Flavia Monti, Massimo Mecella

“…These strategies are founded on a proposed data analytics approach rooted in Markov chain principles. This approach aids operators in making informed decisions on whether to proceed with additional attempts or discard the insert. …”
Get full text

Associated Factors of Postpartum Modern Contraceptive Use in Burie District, Amhara Region, Ethiopia by Wassachew Ashebir, Tilahun Tadesse

Get full text