A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach by Yaron Ogen, Michael Denk, Cornelia Glaesser, Holger Eichstaedt

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Recovery of Carbon Fibres From Aged Epoxy Matrix Composites Using H2O2 as an Oxidant: A Thermodynamic and Technoeconomic Analysis by Paul Njeni Mabalane, Kristof Molnar, Philani Thembelihle Mazibuko, Kolos Molnár, Caroline Khoathane, Mike Masukume

“…The price of hydrogen peroxide and recovered carbon fibre are essential variables that have a high effect on the model.…”
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Physical characteristics as indicators of performance in young alpine skiers in Super-G by Stojan Puhalj, Blaž Lešnik, Črtomir Matejek, Samo Fošnarič, Tjaša Kmet, Jurij Planinšec

“…The multiple regression model explained 73% of the variance in the boys' performance and 59% in the girls', although the model itself was not statistically significant for predicting performance. …”
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Novel bio-adsorbent of alginate/HTC hydrochar & alginate/HTH hydrochar composite beads for removal of basic blue 9 from water by Nayereh.S Tadayoni, Mohammad Dinari

“…Furthermore, the adsorption kinetics for both adsorbents conformed to the Elovich model. Isotherm and kinetic modeling indicate that electrostatic interactions and chemisorption are the dominant mechanisms driving dye removal.…”
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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging by Chiara Manini, Markus Hüllebrand, Lars Walczak, Sarah Nordmeyer, Lina Jarmatz, Titus Kuehne, Heiko Stern, Christian Meierhofer, Andreas Harloff, Jennifer Erley, Sebastian Kelle, Peter Bannas, Ralf Felix Trauzeddel, Jeanette Schulz-Menger, Anja Hennemuth

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Variation in the Phenolic Profile and Antioxidant, Antihyperglycemic, and Anti-Inflammatory Activity in Leaves of <i>Cotoneaster zabelii</i> during Growing Season by Agnieszka Kicel, Anna Magiera, Monika Anna Olszewska

“…In the course of optimizing the harvest time for <i>C. zabelii</i> cultivated in Poland, the leaf samples were collected monthly during the annual plant vegetation season, and the hydromethanolic leaf extracts were evaluated for their phenolic composition and model biological activities, including antioxidant, antihyperglycemic, and anti-inflammatory effects in vitro. …”
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Integrating piecewise and symbolic regression with remote sensing data for spatiotemporal analysis of surface water total dissolved solids in the Karun River, Iran by Javad Zahiri, Mohammad Reza Nikoo, Adell Moradi-Sabzkouhi, Mitra Cheraghi, Nazmi Mat Nawi

“…The innovative use of a fuzzy-based uncertainty analysis, coupled with AHP weighting, allowed for a comprehensive assessment of TDS estimation accuracy and uncertainty. The Composite Uncertainty Index (CUI) approach revealed that the Multivariate Adaptive Regression Splines (MARS) and M5 models performed better than other models, with CUI values of 0.83 and 0.72, respectively. …”
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Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Hot Rolling of Steels Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Ho... by D. Szeliga, J. Foryś, J. Kusiak, R. Kuziak, R. Nadolski, M. Pietrzyk, Ł. Rauch

“…Models based on stochastic internal variables meet this requirement. …”
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Lis State of the Greenland and Barents Sea ice cover in the context of current climate change by Ye. U. Mironov, E. S. Egorova, N. A. Lis

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Experimental and Statistical Investigations for Tensile Properties of Hemp Fibers by Peyman Sadeghi, Quang Cao, Ragab Abouzeid, Mohammad Shayan, Meensung Koo, Qinglin Wu

“…To further understand the variability and reliability of the tensile properties, statistical models were developed. …”
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Fine-scale landscape characteristics, vegetation composition, and snowmelt timing control phenological heterogeneity across low-Arctic tundra landscapes in Western Alaska by Dedi Yang, Wouter Hantson, Daniel J Hayes, Jin Wu, Shawn P Serbin

“…Deciduous tall shrubs (e.g. alder and willow) had a later SOS (∼7 d behind the mean of other PFTs), but completed leaf expansion (within 2 weeks) considerably faster compared to other PFTs. We modeled the landscape-scale variation in SOS and SOF using Random Forest, which showed that plant phenology can be accurately captured by a suite of variables related to vegetation composition, topographic characteristics, and snowmelt timing (variance explained: 53%–68% for SOS and 59%–82% for SOF). …”
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Causality among landscape characteristics, seasonality and stream water quality in the Paraopeba river basin by Fernando Arão Bila Júnior, Fernando António Leal Pacheco, Renato Farias do Valle Junior, Maytê Maria Abreu Pires de Melo Silva, Teresa Cristina Tarlé Pissarra, Marília Carvalho de Melo, Carlos Alberto Valera, Luís Filipe Sanches Fernandes, João Paulo Moura

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Performance Evaluation and Optimization of Binder-Toner and Mixing Efficiency Ratios in an E-Waste Toner-Modified Composite Mixture Using Response Surface Methodology by Syyed Adnan Raheel Shah, Sabahat Hussan, Nabil Ben Kahla, Muhammad Kashif Anwar, Mansoor Ahmad Baluch, Ahsan Nawaz

“…The study utilized a central composite design (CCD) together with the response surface methodology (RSM) to optimize the mix design variables, specifically the binder-toner ratio (BT) and mixing efficiency ratio (MER). …”
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Review: Preclinical Models of Large‐Vessel Occlusion Stroke by Alexander Keister, Arianna Carfora, Mayur S. Patel, Amanda S. Zakeri, Lillian Mannix, Debra G. Wheeler, Paco S. Herson, Shahid M. Nimjee

“…Thus, variables including size and region of the occlusion, composition of the clot, and degree of reperfusion can be controlled. …”
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Risk Factors and Predictive Models for Sarcopenia in Older Adults by Shiyuan Zhang, Xue Yang, Nina An, Meng Lv, Lanyu Yang, Rui Liu, Song Hu, Weiguo Chen, Wenjing Feng, Yongjun Mao

“…This study aimed to explore risk factors for sarcopenia in the elderly population and construct predictive models. Methods Patients (n = 335) aged 60–93 years and received an examination by a dual‐energy X‐ray absorptiometry (DXA) or a body composition analyzer (InBody) between January 2020 and May 2024 were included. …”
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Standardization and characterization of Mohanthal using response surface methodology by M. B. Chaudhary, K. Jayaraj Rao, Ankit Bihola, Shaikh Adil

“…This study addresses these challenges by employing Response Surface Methodology with a Central Composite Design to optimize the ingredient formulation of Mohanthal, ensuring consistent quality while preserving its traditional essence. …”
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Thermite combustion: Current trends in modeling and future perspectives by Alain Esteve, Carole Rossi

“…The reason is the insufficient knowledge and quantification of reaction and combustion mechanisms and the key variables governing them. That is why, over the past decades, several approaches and models ranging from atomic-scale modeling to macroscopic simulations using computational fluid dynamics, were developed and are reviewed in this article. …”
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Atmospheric Pollutant Flow and Precipitation: Modeling Effects on the Vegetation Ecosystem by Allag Fateh, Saddek Bouharati, Lamri Tedjar, Mohamed Fenni

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Thermal Conductivity Model Analysis of Unsaturated Ice-Containing Soil by Qiang Han, Zhiguo Wang, Rui Qin

“…In this paper, the representative elementary volume (REV) selection method is given for unsaturated ice-containing soil with porosity as a representative state variable. Under the condition of freeze-thaw, two thermal conductivity REV analysis models for unsaturated ice-containing soil are established: a simplified volume-weighted average REV model and a fine volume-weighted average REV model; accordingly, a macroscopic thermal conductivity analysis model is given. …”
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Refined equations and buckling modes under four-point bending loading of the sandwich test specimen with composite facing layers and a transversely flexible core by V.N. Paimushin, M.V. Makarov

“…A refined geometrically nonlinear theory of sandwich plates and shells with a flexible soft core and composite facing layers having low shear and compressive stiffness was introduced. …”
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