Comparison of river and drinking water quality of infiltration intakes based on statistical colour data by Yalaletdinova Alina, Malkova Maria, Vozhdaeva Margarita, Serebryakov Pavel, Kantor Evgeny

“…A significant contribution (79 to 89%) to the variation of the indicator in drinking water is made by random variable. Correlation coefficients calculated from monthly averages revealed a weak relationship (on the Cheddock scale) between river and drinking water colour, whereas correlation coefficients calculated from monthly averages of colour in the model year characterise the relationship at IWI1 as high and very high at IWI2. …”
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Development and evaluation of a predictive model of upper gastrointestinal bleeding in liver cirrhosis by Jin Peng, Huiru Jin, Ningxin Zhang, Shiqiu Zheng, Chengxiao Yu, Jianzhong Yu, Longfeng Jiang

“…Once bleeding occurs, the risk of recurrent episodes substantially increases, further compromising liver function and worsening patient outcomes. This study aims to identify risk factors for UGIB in cirrhotic patients using clinical examination data and to develop a non-invasive predictive model to improve diagnostic precision and efficiency. …”
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Potential Protective Effect of Orlistat: A Formulation of Nanocrystals Targeting Inflammation, Oxidative Stress, and Apoptosis in an Experimental Model of Doxorubicin-Induced Cardi... by Maha Alsunbul, Thanaa A. El-Masry, Enas I. El Zahaby, Mohamed M. S. Gaballa, Maysa M. F. El-Nagar

“…Furthermore, Orli has a favorable impact on the decrease in cardiometabolic risk variables. Thus, this study aimed to investigate the novel use of Orlistat Nanocrystals (Orli-Nanocrystals) to mitigate DOX-induced cardiotoxicity and to identify probable pathways behind the cardioprotective effects. …”
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Flow Characteristics of Distinctly Viscous Multilayered Intestinal Fluid Motion by S. K. Pandey, M. K. Chaube, Dharmendra Tripathi

“…The goal of this investigation is to study the three layered (core layer, intermediate layer, and peripheral layer) tubular flow of power law fluids with variable viscosity by peristalsis in order to investigate the strength of the role played by an artificially generated intermediate layer to ease constipation. …”
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The Effectiveness of Using the Reggio Emilia Approach on the Experimental Science Lesson for Third-Grade Elementary Students by Batool Sabzeh, Farangis Ghalavand, Seyedamir Ghasemtabar

“…Results of the normality test for the research variables (level 1, 2, and 3 science learning) in third-grade students indicated that all variables, both pre-test and post-test, met the assumption of normality, with significance levels greater than 0.05. …”
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Stochastic demethylation and redundant epigenetic suppressive mechanisms generate highly heterogeneous responses to pharmacological DNA methyltransferase inhibition by Mie K. Jakobsen, Sofie Traynor, Aaraby Y. Nielsen, Christina Dahl, Mette Staehr, Simon T. Jakobsen, Maria S. Madsen, Rasmus Siersbaek, Mikkel G. Terp, Josefine B. Jensen, Christina B. Pedersen, Anup Shrestha, Jonathan R. Brewer, Pascal H. G. Duijf, Odd L. Gammelgaard, Henrik J. Ditzel, Alexei F. Kirkin, Per Guldberg, Morten F. Gjerstorff

“…Results We show that breast cancer tumors and cell cultures exhibit a highly heterogenous response to DNA methyltransferase inhibitors, persisting even under high drug concentrations and efficient DNA methyltransferase depletion. The observed variability in response to DNA methyltransferase inhibitors was independent of cancer-associated aberrations and clonal genetic diversity. …”
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Expression variation and covariation impair analog and enable binary signaling control by Kyle M Kovary, Brooks Taylor, Michael L Zhao, Mary N Teruel

“…Abstract Due to noise in the synthesis and degradation of proteins, the concentrations of individual vertebrate signaling proteins were estimated to vary with a coefficient of variation (CV) of approximately 25% between cells. …”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…This study investigates the operational efficiency of the lab-scale oxidation ditch (OD) functioning in simultaneous nitrification and denitrification modes, focusing on forecasting biochemical oxygen demand (BOD₅) concentrations over a five-day horizon. …”
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Integrated analyses of copy number variations and gene expression in lung adenocarcinoma. by Tzu-Pin Lu, Liang-Chuan Lai, Mong-Hsun Tsai, Pei-Chun Chen, Chung-Ping Hsu, Jang-Ming Lee, Chuhsing Kate Hsiao, Eric Y Chuang

“…We demonstrated the reproducibility of these genes in another lung cancer study (p = 0.0034, Fisher's exact test), and showed the concordance between copy number variations and gene expression changes by elevated Pearson correlation coefficients. Pathway analysis revealed two major dysregulated functions in lung tumorigenesis: survival regulation via AKT signaling and cytoskeleton reorganization. …”
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CHANGES AND TRENDS IN WINE PRODUCTION AND CONSUMPTION IN THE WORLD AND ROMANIA DURING THE PERIOD 2007-2018 by Agatha POPESCU

“…The paper analyzed the evolution of wine production and consumption in Romania and at the world level in order to identify the main changes and trends in the period 2007-2018 using official data which have been processed using fixed and variable indices, correlation coefficients, regression functions, consumption/production rate, export/consumption rate, self sufficiency rate and import dependency rate. …”
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Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition by Marjan Kordani, Mohsen Bagheritabar, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee

“…Statistical metrics confirmed that the proposed OMVMD-GRKR model, concerning the best efficiency in the Ahvaz (R = 0.987, RMSE = 0.761, and U95% = 2.108) and Molasani (R = 0.963, RMSE = 1.379, and U95% = 3.828) stations, outperformed the OMVMD and simple-based methods such as ridge regression (Ridge), least squares support vector machine (LSSVM), deep random vector functional link (DRVFL), and deep extreme learning machine (DELM). …”
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Clinical diagnostic and prognostic value of homocysteine combined with hemoglobin [f (Hcy-Hb)] in cardio-renal syndrome caused by primary acute myocardial infarction by Min-Juan Zeng, Yan-Quan Liu, Ping Pang, Xiao-Jun Chen, He Huang, Rui-Na Huang, Shi-Sen Li, He-Hui Zhang, Yue Yin, Chang-Sen Wang, Jin-Da Lin, Lin Lin, Shao-Peng Chen, Li Xu, Liang-Qing Zhang

“…Conclusion The newly constructed function [f (Hcy-Hb)], integrating Hcy and Hb levels, exhibits robust diagnostic and prognostic value in CRS. …”
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Supply chain management and optimization in transportation logistics by Saoussen Krichen

“…The volatile economic environment and customers’ demands variability require supply chains to be able to anticipate, control and react to disruptions and volatility, in collaboration with customers, suppliers and logistics partners. …”
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Evaluating Sensitivity of the Ranking of Forest Fuel Treatments to Manager’s Risk Attitudes and the Importance of Treatment Objectives, Montana, USA by Tony Prato, Travis Paveglio

“…The conceptual framework involves (1) defining a utility function on an index that is a weighted average of fuel treatment objectives and incorporates a manager’s risk attitude; (2) using the utility function to calculate utility values for FTSs; (3) applying the stochastic efficiency with respect to a function method to utility values to obtain certainty equivalents (CEs); and (4) ranking FTSs based on statistically significant differences in median CEs for pairs of FTSs. …”
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Bankruptcy rules and sustainable water management: A MODSIM-NSGAII simulation multi-objective optimization framework for equitable transboundary water allocation by Bentolhoda Asl-Rousta, S. Jamshid Mousavi

“…This study addresses these challenges by introducing a new optimal bankruptcy rule (OpPro rule) through a simulation-optimization model (MODSIM-NSGAII), where MODSIM simulates the spatial and temporal variability of water resources, and the NSGA-II optimization algorithm includes two objective functions of maximizing basin-wide ecological sustainability and maximizing economic efficiency reflecting ''equitable and reasonable utilization'' of water. …”
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Impacts of early postpartum behavioral patterns on the fertility and milk production of tropical dairy cows by Aqeel Raza, Kumail Abbas, Theerawat Swangchan-Uthai, Henk Hogeveen, Chaidate Inchaisri

“…Reproductive performance was analyzed using Cox proportional hazard models, while lactation dynamics were modeled using the Wood function to estimate peak yield, peak time, and persistency. …”
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Application of Non-Linear System Model Updating Using Feature Extraction and Parameter Effects Analysis by John F. Schultze, François M. Hemez, Scott W. Doebling, Hoon Sohn

“…This provides indicators of the statistical variation associated with parameters as well as confidence intervals on the coefficients of the resulting meta-model. Also included in this method is the investigation of linear parameter effect screening using a partial factorial variable array for simulation. …”
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Test–retest reliability and validity in lower limb proprioception tests using image capture technique in healthy adults by Aisuke Takahashi, Hikaru Kawana, Katsuhiro Furukawa

“…In statistical analysis, the test–retest reliability and construct validity were evaluated using intraclass correlation coefficients (ICC) and Spearman’s rank correlation coefficients. …”
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Reliability and validity of a Japanese version of life-space assessment in institutionalized settings by Tomoyuki Shinohara, PhD, Shota Saito, MS, Ayumi Maruyama, Yuta Yabana, Yosuke Tomita, PhD, Klaus Hauer, PhD

“…Purpose: A reduction in life space (LS) is associated with a negative impact on medical and functional status during hospitalization, with potential consequences after discharge. …”
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Polynomial Chaos Expansion Approach to Interest Rate Models by Luca Di Persio, Gregorio Pellegrini, Michele Bonollo

“…The Polynomial Chaos Expansion (PCE) technique allows us to recover a finite second-order random variable exploiting suitable linear combinations of orthogonal polynomials which are functions of a given stochastic quantity ξ, hence acting as a kind of random basis. …”
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