Microbiota and Long-Term Prognosis in Liver Cirrhosis by E. G. Malaeva, I. O. Stoma

“…The analysis of the difference in the proportional composition of the microbiome between the groups was carried out using polynomial Dirichlet modeling (Likelihood-Ratio-Test Statistics: Several Sample Dirichlet-Multinomial Test Comparison), the Mann-Whitney test with preliminary data transformation by CLR transformation (Centered log ratio transform), differential analysis of gene expression based on negative binomial distribution (DESeq2). …”
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Second-round effects of food prices on core inflation in Turkey by Türken Fatma, Yildirim Mustafa Ozan

“…This study investigates the second-round effects of food price shocks on core inflation using monthly data from January 2013 to June 2024 through a Bayesian Structural Vector Autoregressive (SBVAR) model. Incorporating domestic and international macroeconomic variables, the model identifies second-round effects by imposing theory-based constraints and leveraging Bayesian methods. …”
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Relationship Between Systemic Inflammation and Glycemic Control in Firefighters by Tiffany J. Oberther, Andrew R. Moore, Austin A. Kohler, A. Maleah Holland-Winkler

“…Body composition and cardiovascular metrics were also recorded. …”
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Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming by Shyamal Mundada, Pooja Jain

“…Along with predictor variables, soil health card data as dependent variable was used for training the model. …”
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Müller glia activation in response to inherited retinal degeneration is highly varied and disease-specific. by Claire Hippert, Anna B Graca, Amanda C Barber, Emma L West, Alexander J Smith, Robin R Ali, Rachael A Pearson

“…The OLM adherens junctions underwent significant remodelling in all models, but with differences in the composition of the resulting junctions; in Rho-/- mice, the adherens junctions maintained the typical rod-Müller glia interactions, while in the Pde6brd1/rd1 model they formed predominantly between Müller cells in late stage of degeneration. …”
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Pathways for Potential Exposure to Onshore Oil and Gas Wastewater: What We Need to Know to Protect Human Health by Ayusha Ariana, Isabelle Cozzarelli, Cloelle Danforth, Bonnie McDevitt, Anna Rosofsky, Donna Vorhees

“…Knowledge gaps include understanding the variable composition and toxicity of produced water released to the environment, the performance of treatment methods, migration pathways through the environment that can result in human exposure, and the significance of the exposures for human and ecosystem health. …”
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Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…As is known, the selection of optimal conditions for the analysis of extracts from medicinal plant raw materials (MPМ), as well as medicinal herbal preparations and pharmaceutical substances of plant origin, characterized by a complex variable composition of biologically active substances (BAS) by TLC, presents certain difficulties. …”
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Spatial pattern of Trees in the Riparian Forests (Case Study: Wildlife Refuge of Karkhe) by Shaieste Gholami

“…To describe spatial autocorrelation of a variable quantitatively, a (theoretical) variogram model can be fitted to the empirical variogram in order to obtain the model parameters nugget, sill and range. 3- Results and Discussion The variograms of Populus euphratica and Lycium shawii were spherical. …”
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The use of process benchmarking in the water industry to introduce changes in the digitization of the company’s value chain by Natalia R. Potoczek

“…IMPLICATIONS FOR THEORY AND PRACTICE: The proposed model is highly conceptual and requires validation in pilot studies to verify the levels of decomposition of the value chain, to select key digital technologies for research and to determine the scale of digital maturity for each of the technologies included in the study. …”
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Inequality in maternal delays related to maternal death at home and en route to a health facility in Ethiopia: insights from national mortality surveillance data by Neamin Tesfay, Rozina Tariku, Girmay Hailu, Haymanot Firde, Fistum Hadgu Woldeyohannes

“…Objective This study aims to quantify and identify the contributors to inequity in the maternal mortality risk index for deaths occurring at home and en route to health facilities.Design and setting Analysis of the Maternal Death Surveillance and Response data, encompassing maternal deaths reviewed in Ethiopia from 2013 to 2020.Analysis The Maternal Mortality Risk Index was computed using 14 variables grouped according to the three contributors to delay model: contributors to delay in seeking care, contributors to delay in reaching care and contributors to delay in receiving optimal care. …”
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Prediction of the transient coolant jet released from the nose cone at supersonic flow via machine learning by Ali Basem, M. Yasiri, Pooya Ghodratallah, Kamal Sharma, Nimesh Raj, S. Abdul Ameer, Mohammed Yaseen Abdullah, Abbas Hameed Abdul Hussein, Mohammed Y. Al-Khuzaie, M. Ahmedi

“…Abstract In this paper, the usage of a predictive surrogate model for the estimate of flow variables in the transient phase of coolant injection from the nose cone by combining the Long Short-Term Memory (LSTM) and Proper Orthogonal Decomposition (POD) technique. …”
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Immigrants’ diminished protective effects of parental education and employment on youth mood disorders in Sweden by Shervin Assari, Mehdi Osooli, Henrik Ohlsson, Jan Sundquist, Kristina Sundquist

“…Sex and study year served as covariates, while immigration background acted as a moderator. Cox regression models were employed for statistical analysis. Results All SES indicators (higher parental education, parental employment, higher family income), and two-parent family composition were associated with a lower risk of mood disorders. …”
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Prediction of Unconfined Compressive Strength of Expansive Soil Amended with Bagasse Ash and Lime Using Artificial Neural Network by D.R. Goutham, A.J. Krishnaiah

“…This paper presents the results of using rigorous modelling techniques like ANN and multi-variable regression model (MVR) to examine the UCS of BA and a blend of BA-lime (BA + lime) stabilized ES. …”
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Coal Price Forecasting and Structural Analysis in China by Xiaopeng Guo, Jiaxing Shi, Dongfang Ren

“…Based on the historical data of coal price and related factors such as port stocks, sales volume, futures prices, Producer Price Index (PPI), and crude oil price rate from November 2013 to June 2016, this study aims to forecast coal price using vector autoregression (VAR) model and portray the dynamic correlations between coal price and variables by the impulse response function and variance decomposition. …”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Based on this，a comprehensive energy system short-term load forecasting model is proposed，which combines complete ensemble empirical mode decomposition with adaptive noise （CEEMDAN），cross optimization algorithm （CSO），long short term memory （LSTM） network，and multi task learning （MTL）. …”
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Mass and rotation parameters of stars under conditions of dynamic equilibrium by V.M. Zhuravlev

“…The research proposes an extended model of the dynamic equilibrium of stars, taking into account the inhomogeneous chemical composition of matter, as well as additional factors associated with oscillations of heat flow and hidden mass (“dark matter”). …”

Breeding habitat selection of Canada Warblers across three distinct landscapes in Québec by Samuel Dufour-Pelletier, Bruno Drolet, Vincent Lamarre, Carl Savignac, Jacques Ibarzabal, Junior A. Tremblay

“…We conducted surveys between 2016 and 2018, with data collected on bird occurrence, vegetation structure, and plant community composition. We assessed habitat selection based on vegetation structure with logistic regression models and we tested associations with plant community using permutational ANOVAs and indicator species analysis. …”
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Adoption of Home Service Robots: Exploring Household Differences in Perceived Usefulness by Minjun Kim

“…An online survey of 400 participants was analyzed using partial least-squares structural equation modeling. The results indicate that the perceived usefulness of robots in performing basic household chores (<inline-formula> <tex-math notation="LaTeX">$\beta =0.34$ </tex-math></inline-formula>, p-value &#x003C;0.01) and leisure and companionship tasks (<inline-formula> <tex-math notation="LaTeX">$\beta =0.32$ </tex-math></inline-formula>, p-value &#x003C;0.01) significantly affects intention to adopt across household types, whereas their perceived usefulness in handling complex household chores (<inline-formula> <tex-math notation="LaTeX">$\beta = -0.33$ </tex-math></inline-formula>, p-value &#x003C;0.01) and healthcare tasks (<inline-formula> <tex-math notation="LaTeX">$\beta =0.24$ </tex-math></inline-formula>, p-value &#x003C;0.05) varies depending on household composition. …”
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Predicting the presence of tephra layers in lacustrine deposits using spectral gamma ray data: An example from Lake Chalco, Mexico City. by Mehrdad Sardar Abadi, Christian Zeeden, Arne Ulfers, Alex Susan Meyer, Thomas Wonik, Mexidrill team

“…Multiple linear regression models are used to predict the relationship between the composition of tephra layers as a dependent variable and the constituent energy channels of the gamma-ray signal as independent variables. …”
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Virus-induced perturbations in the mouse microbiome are impacted by microbial experience by Shanley N. Roach, Wendy Phillips, Lauren M. Pross, Autumn E. Sanders, Mark J. Pierson, Ryan C. Hunter, Ryan A. Langlois

“…Altogether, these results highlight the differential impact of housing, infection, and interaction between the two in dictating community composition across the gastrointestinal microbiome.IMPORTANCETraditionally housed pathogen-free mouse models do not fully capture the natural variability observed among human microbiomes, which may underlie their poor translationally predictive value. …”
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