A simple model of the rheological curve of HPAM solutions at different temperatures by Eduar Pérez, Dario Alviso, Mauricio Carmona, Eduardo Manrique, Guillermo Artana

“…However, existing physical models need further refinement to improve predictive accuracy and prevent design failures in polymer flooding projects. …”
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Design and Experimental Verification of a New Type of Refrigerated Vehicle Model by Xia Quangang, Liu Baolin, Song Xiaoyan

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Modeling of Thermal Distributions around a Barrier at the Interface of Coating and Substrate by Ali Sahin

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Studying the Uptake of Toxic Metals by Plants using New Mathematical Modeling by Hussein Hassan Kharnoob, Hasan Ahmed Hasan

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Minimal mesoscale model for protein-mediated vesiculation in clathrin-dependent endocytosis. by Neeraj J Agrawal, Jonathan Nukpezah, Ravi Radhakrishnan

“…Based on the observed strong dependence of the vesicle diameter on the bending rigidity, we suggest that the variability in bending stiffness due to variations in membrane composition with cell type can explain the experimentally observed variability on the size of clathrin-coated vesicles, which typically range 50-100 nm. …”
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Significant Serpents: Predictive Modelling of Bioclimatic Venom Variation in Russell's Viper. by Navaneel Sarangi, R R Senji Laxme, Kartik Sunagar

“…Our models effectively captured regional differences in venom composition and linked climatic conditions with functional variations.…”
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The Weight Minimization of a UAV Wing Component Through Structural Optimization by Andreas Psarros, Georgios Savaidis

“…This study focuses on the structural optimization of a composite wing element for an unmanned aerial vehicle. …”
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Examination of Strength Modeling Reliability of Physical Tests on Structural Concrete Columns by Sher Ali Mirza

“…The columns were subjected to short-term loads producing pure axial force, axial force combined with symmetrical single-curvature bending, or pure bending. Major variables included the concrete strength, the end eccentricity ratio, the slenderness ratio, the longitudinal reinforcing steel index for reinforced concrete or the structural steel index for composite columns, and the transverse reinforcement (tie/hoop) volumetric ratio. …”
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Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learn... by Yekai Zhou, Celia Jiaxi Lin, Qiuyan Yu, Joseph Edgar Blais, Eric Yuk Fai Wan, Emmanuel Wong, Kathryn Tan, David Chung-Wah Siu, Kai Hang Yiu, Esther Wai Yin Chan, Doris Yu, William Wong, Tak-Wah Lam, Ian Chi Kei Wong, Ruibang Luo, Celine S L Chui

“…A basic model was developed with the integration of statistically significant and important subset of risk variables by least absolute shrinkage and selection operator (LASSO) regression. …”
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Modeling actinic flux and photolysis frequencies in dense biomass burning plumes by J.-L. Tirpitz, S. F. Colosimo, N. Brockway, R. Spurr, M. Christi, S. Hall, K. Ullmann, J. Hair, T. Shingler, R. Weber, J. Dibb, R. Moore, E. Wiggins, V. Natraj, N. Theys, J. Stutz

“…Systematic biases between the model and observations are within 2 %, indicating that the uncertainties are most likely due to variability in the input data caused by the inhomogeneity of the plume as well as 3D RT effects not captured in the model. …”
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Modelling Arctic lower-tropospheric ozone: processes controlling seasonal variations by W. Gong, S. R. Beagley, K. Toyota, H. Skov, J. H. Christensen, A. Lupu, D. Pendlebury, J. Zhang, U. Im, Y. Kanaya, A. Saiz-Lopez, R. Sommariva, R. Sommariva, P. Effertz, P. Effertz, J. W. Halfacre, N. Jepsen, R. Kivi, T. K. Koenig, K. Müller, C. Nordstrøm, I. Petropavlovskikh, I. Petropavlovskikh, P. B. Shepson, W. R. Simpson, S. Solberg, R. M. Staebler, D. W. Tarasick, R. Van Malderen, M. Vestenius

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Modelling of biological age in stable and acute exacerbations of chronic obstructive pulmonary disease by Yujiao Wang, Ting Mu, Yufen Fu, Yuxin Wang, Guoping Li

“…The dataset was partitioned into training and validation sets at a 7:3 ratio, and LASSO regression was applied to refine the model's variable composition. To assess the ability of different variables to discriminate current disease status, we developed the initial model and three subsequent models, with the following variables added in the new model: Chronological age (CA), BA, and biological age acceleration. …”
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Estimation of the compressive strength of ultrahigh performance concrete using machine learning models by Rakesh Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, Chanachai Thongchom, Pijush Samui, Baboo Rai

“…The models trained on the UHPC mixture dataset with 15 input variables included the group method of data handling, recurrent neural networks, long short-term memory, and bidirectional long short-term memory (Bi-LSTM). …”
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The Truck Platooning Routing Optimization Model Based on Multicommodity Network Flow Theory by Zexi Zhang

“…The output of the routing optimization model could both reflect the composition of each truck platooning on each link and directly show the routings of each truck. …”
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Composición corporal y autoestima corporal en usuarios de gimnasios en una población colombiana (Body composition and body self-esteem in gym users in a Colombian city) by Andrés Felipe Arias Giraldo, Enoc Valentín González Palacios, Astrid Viviana Vargas Romero

“…The Body Self-Esteem Scale (BSES), validated in the Colombian population, was used to measure body self-esteem (BS). To measure body composition, the five-component model was used. Results: In men, the variables of the five-component model with statistically significant correlations and associations were: skin mass in kilograms, percentage of: adipose mass, muscle mass, and bone mass in kilograms. …”
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Parametric LCA model for Ti6Al4V powder production by Christian Spreafico, Baris Ördek

“…This holistic, multi-variable optimization approach provides unprecedented, actionable insights by identifying optimal operational settings, not just sensitivities, for enhancing the sustainability of Ti6Al4V powder production, overcoming limitations of prior static or phase-specific parametric models.…”
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COBRAme: A computational framework for genome-scale models of metabolism and gene expression. by Colton J Lloyd, Ali Ebrahim, Laurence Yang, Zachary A King, Edward Catoiu, Edward J O'Brien, Joanne K Liu, Bernhard O Palsson

“…Genome-scale models of metabolism and macromolecular expression (ME-models) explicitly compute the optimal proteome composition of a growing cell. …”
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Selective Spectrum Antibiotic Modulation of the Gut Microbiome in Obesity and Diabetes Rodent Models. by Deepak K Rajpal, Jean-Louis Klein, David Mayhew, Joyce Boucheron, Aaron T Spivak, Vinod Kumar, Karen Ingraham, Mark Paulik, Lihong Chen, Stephanie Van Horn, Elizabeth Thomas, Ganesh Sathe, George P Livi, David J Holmes, James R Brown

“…However, only ceftazidime showed significant, dose dependent improvement in key metabolic variables including glucose, insulin, protein tyrosine tyrosine (PYY) and glucagon-like peptide-1 (GLP-1). …”
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Use of response surface methodology (RSM) for composite blends of low grade broken rice fractions and full-fat soybean flour by a twin-screw extrusion cooking process by Nahemiah Danbaba, Iro Nkama, Mamudu Halidu Badau

“…The p-value and lack-of-fit tests of the models could well explain the observed variability and therefore could be used to establish production setting for the twin-screw extruder. …”
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The Application of Vibroacoustic Mean and Peak-to-Peak Estimates to Assess the Rapidly Changing Thermodynamic Process of Converting Energy Obtained from Various Fuel Compositions U... by Marek Waligórski, Maciej Bajerlein, Wojciech Karpiuk, Rafał Smolec, Jakub Pełczyński

“…The influence of dimethyl ether on combustion efficiency was quantified using performance indicators, emission parameters, and vibration estimates (compared to diesel fuel). Mathematical models of combustion and its variability were created using the mean, peak-to-peak amplitude, root mean square error, and peak amplitudes of vibration accelerations, which were also represented using vibration graphics. …”
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