A Deposition Model: Riemann Problem and Flux-Function Limits of Solutions by Hongjun Cheng, Shiwei Li

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DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data by Christopher Patsalis, Gayatri Iyer, Marci Brandenburg, Alla Karnovsky, George Michailidis

“…Abstract Background Metabolomics is a high-throughput technology that measures small molecule metabolites in cells, tissues or biofluids. Analysis of metabolomics data is a multi-step process that involves data processing, quality control and normalization, followed by statistical and bioinformatics analysis. …”
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INFERENCES DRAWN ON COMMON SCALE PARAMETER OF TWO POPULATIONS USING RAINFALL DATA by Vijay Kumar Lingutla, Nadiminti Nagamani, P. S. Brahmanandam

“…Bayesian estimates are derived for the common scale parameter and distinct shape or location parameters for Weibull, Rayleigh, Lomax, and Gamma distributions under both squared error and Linex loss functions. To facilitate this analysis, Gamma priors are employed for Weibull, Rayleigh, and Lomax distributions, guided by relevant references, while an Inverted gamma prior is applied for the Gamma distribution. …”
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Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

“…IntroductionCombining many types of imaging data—especially structural MRI (sMRI) and functional MRI (fMRI)—may greatly assist in the diagnosis and treatment of brain disorders like Alzheimer’s. …”
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Harrington function as an integral approach to assessing food security in Russia by Qian Xinyi, Salikov Yu.A., Kolomytseva O.Yu., Maslov A.V.

“…A surrogate function based on the Harrington function was used for the analysis. …”
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Assurance of the Function of Low-Volume Roads for the Improvement of Driving Conditions by Viktoras Vorobjovas

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MODELING OF INCOME OF SOCIO-ECONOMIC SYSTEMS ON THE BASIS OF THE PRODUCTION FUNCTION by A. Sh. Kamaletdinov, A. A. Ksenofontov

“…Data analysis and estimation of parameters was performed using the programs of statistical data processing — IBM SPSS Statistics 20. …”
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Functional capacity of patients with coronary artery disease at middle age by Khalida Alwan Mansour, Ali Kathum Jassem

“…The researcher used the appropriate statistical methods in the data analysis, which include the descriptive data analysis, and Inferential data analysis. …”
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Endocrine disruptors and bladder function: the role of phthalates in overactive bladder by Li Liu, Xia Li, Xuexue Hao, Zhunan Xu, Qihua Wang, Congzhe Ren, Muwei Li, Xiaoqiang Liu

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Topological state-space estimation of functional human brain networks. by Moo K Chung, Shih-Gu Huang, Ian C Carroll, Vince D Calhoun, H Hill Goldsmith

“…We introduce an innovative, data-driven topological data analysis (TDA) technique for estimating the state spaces of dynamically changing functional human brain networks at rest. …”
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Latent class analysis of cardiac structure and function and association with premature cardiovascular disease: The Coronary Artery Risk Development in Young Adults (CARDIA) study by Michael C. Wang, Toluwalase Awoyemi, Norrina B. Allen, Ravi Shah, Matthew Nayor, Yuan Luo, Joao A.C. Lima, Donald M. Lloyd-Jones, Sadiya S. Khan

“…Objective: To generate data-driven phenogroups of cardiac structure and function based on echocardiographic measures assessed in asymptomatic middle-aged adults free of CVD, and examine associations between these newly defined phenogroups and incident premature cardiovascular disease (CVD). …”
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Pulmonary Function Disorders in Crews of Purse Seine Fishing Vessels by Monalisa Manuputty, Johanna Matakupan, Richard Latuhihin

“…The results of data analysis based on the relationship between variables showed that dust and CO variables had a significant effect on pulmonary function disorders. …”
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Formation of Machine Learning Features Based on the Construction of Tropical Functions by Sergey N. Chukanov, Ilya S. Chukanov

“…One of the main methods of computational topology and topological data analysis is persistent homology, which combines geometric and topological information about an object using persistent diagrams and barcodes. …”
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Accounting planning of expenses and revenues in the function of business decision-making by Janaćković Tanja, Pejčić Marina

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Machine Training of the System of Functional Diagnostics of the Shaft Lifting Machine by Dovbysh A. S., Zimovets V. I., Zuban Y. A., Prikhodchenko A. S.

“…The aim of the work is to increase the accuracy of functional diagnostics of a mine hoist by us-ing the method of information-extreme machine teaching with a hierarchical data structure. …”
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Classification of errors in determining trigonometry function values at standard positions by Yayan Eryk Setiawan Setiawan, Sunardi

“…These errors are important for further analysis. Therefore this study aims to describe the mistakes of the first semester students in determining the value of the trigonometric function in the standard position. …”
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ESTIMATING CROP PRODUCTION FUNCTION FOR SOME CROPS AT MOSUL AREA by Eman Hazim Sheet

“…The computer model can be used to estimate crop production function for other crops by changing crop data.…”
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Utilización de redes neuronales para la determinación de respuestas de sitio a partir de Ondas coda Aplicación para Armenia Colombia by Vargas Jiménez Carlos A., Monsalve Hugo, Bermúdez María L., Cuenca Julio C.

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Bringing Executive Function Testing Online: Assessment Validation Study by Mouna Attarha, Ana Carolina de Figueiredo Pelegrino, Lydia Ouellet, Sarah-Jane Grant, Etienne de Villers-Sidani, Thomas Van Vleet

“…MethodsThis retrospective analysis utilized baseline data from the Improving Neurological Health in Aging via Neuroplasticity-Based Computerized Exercise (INHANCE) trial. …”
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A Proposal for a New Python Library Implementing Stepwise Procedure by Luiz Paulo Fávero, Helder Prado Santos, Patrícia Belfiore, Alexandre Duarte, Igor Pinheiro de Araújo Costa, Adilson Vilarinho Terra, Miguel Ângelo Lellis Moreira, Wilson Tarantin Junior, Marcos dos Santos

“…In addition, we presented a methodological framework for treating joint problems in data analysis, such as heteroskedasticity, multicollinearity, and nonadherence of residues to normality. …”
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