Application of response surface methodology (RSM) for experimental optimization in biogenic silica extraction from rice husk and straw ash by Yigezu Temesgen Zewide, Temesgen Atnafu Yemata, Adane Adugna Ayalew, Hawi Jihad Kedir, Asab Alemneh Tadesse, Asmarech Yeshaneh Fekad, Alemayehu Keflu Shibesh, Fentahun Adamu Getie, Tegen Dagnew Tessema, Tessera Alemneh Wubieneh, Wondmagegn Wonago Kululo, Muluken Tilahun Mihiret

“…The effects of three independent ash digestion process factors like sodium hydroxide concentration (1–3 M), temperature (60–120 °C) and time (1–3 h), for silica production from the mixture of rice husk (RH) and rice straw (RS) were studied. A quadratic model was used to correlate the interaction effects of the independent variables for maximum silica production at the optimum process parameters by employing central composite design (CCD) with RSM. …”
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Analytical model of a dynamic system «pulse-width converter – DC motor with independent excitation» by Alexander S. Glazyrin, Evgeniy I. Popov, Vladimir A. Kopyrin, Sergey N. Kladiev

“…The proposed analytical model is recommended for investigation of dynamic modes of DC motors with independent excitation and allows one to analytically apply methods of automatic control theory to a dynamic system, as well as obtain complete information about the spectral composition of state variables.…”
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TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluat... by S. Schmitt, S. Schmitt, S. Schmitt, F. J. Fischer, J. G. C. Ball, N. Barbier, M. Boisseaux, D. Bonal, B. Burban, X. Chen, G. Derroire, G. Derroire, G. Derroire, J. W. Lichstein, D. Nemetschek, N. Restrepo-Coupe, S. Saleska, G. Sellan, P. Verley, G. Vincent, C. Ziegler, J. Chave, I. Maréchaux

“…Here we evaluate the performance of TROLL 4.0 for two Amazonian sites with contrasting soil and climate properties. We assessed the model's ability to represent forest structure, composition, and dynamics using lidar-derived spatial distribution of top canopy height and forest inventories combined with information on plant functional traits. …”
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Assessment of Maintenance Strategies and Performance Prediction for Urban Roads Using IRI and HDM-4 Models by Harinder D, Yugendar Poojari, Venkatesh Noolu, Vamsi Dachepalli

“…However, before implementation, such HDM-4 model should be calibrated and validated. Since, in-situ variables greatly influence the rate at which each pavement distress initiates and propagates. …”
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Helicobacter pylori‐related risk predictors of gastric cancer: The latest models, challenges, and future prospects by Seyedeh Zahra Bakhti, Saeid Latifi‐Navid, Reza Safaralizadeh

“…However, these models and earlier ones based on putative virulence factors of the bacterium may not fully justify differences in the incidence of GC, reflecting that new theories should be developed and examined. …”
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The need for advancing algal bloom forecasting using remote sensing and modeling: Progress and future directions by Cassia B. Caballero, Vitor S. Martins, Rejane S. Paulino, Elliott Butler, Eric Sparks, Thainara M. Lima, Evlyn M.L.M. Novo

“…As these blooms increase in frequency and size, there is an increasing need for forecasting models to accurately predict their occurrence and progression. …”
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Logging Evaluation of Mixed-sediments Reservoirs of the Lower Cambrian Canglangpu Formation in Penglai Gas Area, Central Sichuan Basin by WANG Haiqing, WANG Zeyu, LAI Qiang, LI Shurong, WU Yuyu, ZHANG Mingyong, WANG Yaqing

“…Results show that, the dimensionality reduction method and other methods have solved the problem of calculating the composition and content of more than four kinds of minerals, and the calculation results are highly consistent with the Litho Scanner logging data, the porosity calculated by variable matrix parameters on the basis of tri-porosity logging curves and the permeability calculated by subdivision model are in good agreement with those from core analysis, the electrical imaging logging combined with acoustic remote detection and acoustic velocity tomography has a good application effect to judge the pore space type characteristics and reservoir effectiveness. …”
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A machine learning–based risk prediction model for atrial fibrillation in critically ill patients by Laith Alomari, MD, Yaman Jarrar, MD, Zaid Al-Fakhouri, MD, Emmanuel Otabor, MBBS, Justin Lam, MD, Jana Alomari

“…A compact model was developed using 15 variables and 2 novel features—one identifying patients 70 years of age or older with sepsis and another representing a composite score of pre-existing cardiac risk factors. …”
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Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling. by S J Chidlow, L E Randle, R A Kelly

“…Despite being more physiologically relevant compared to in vitro models, precision cut liver slices are limited by the availability of healthy human tissue and experimental variability. …”
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Modeling governance innovation under esg pressure: A DEMATEL–ANP approach to institutional complexity by Konstantina Ragazou, George Sklavos, Georgia Zournatzidou, Nikolaos Sariannidis

“…The research utilizes the Decision-Making Trial and Evaluation Laboratory (DEMATEL) to identify causal relationships and the Analytic Network Process (ANP) to deduce system-aware priority weights to model the interdependencies among governance elements. …”
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Perception level among clinical officers’ students on the effectiveness of simulation models in the Department of Clinical Medicine by B. K. Wamalwa

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Lean manufacturing implementation in food and beverage SMEs in Tanzania: using structural equation modelling (SEM) by Juma M. Matindana, Mary J. Shoshiwa

“…Using Exploratory Factor Analysis (EFA) and Confirmatory Composite Analysis (CCA), data from 113 SMEs were analysed, revealing that lean tools and processes are strong predictors of improved output, with a significant portion of variance explained by the model. …”
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AI-powered interpretable models for the abrasion resistance of steel fiber-reinforced concrete in hydraulic conditions by Muhammad Nasir Amin, Roz-Ud-Din Nassar, Siyab Ul Arifeen, Muhammad Tahir Qadir, Fahad Alsharari, Muhammad Iftikhar Faraz

“…Consequently, various alternative mix proportions and hydraulic conditions may be examined utilizing MEP and GEP models to generate and assess diverse concrete compositions.…”
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Advancing Precision Medicine for Hypertensive Nephropathy: A Novel Prognostic Model Incorporating Pathological Indicators by Yunlong Qin, Jin Zhao, Yan Xing, Zixian Yu, Panpan Liu, Yuwei Wang, Anjing Wang, Yueqing Hui, Wei Zhao, Mei Han, Meng Liu, Xiaoxuan Ning, Shiren Sun

“…Results: A total of 225 patients were included in this study, with 72 (32.0%) patients experiencing combined events after a median follow-up of 29.9 (16.6, 52.1) months. Six eligible variables (overall chronicity grade of renal pathology, eGFR, high-density lipoprotein cholesterol, hematocrit, monocyte, and stroke volume) were selected from clinical data and introduced into the RSF model. …”
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Transient well-test model of a slanted well in a heterogeneous multi-zonal reservoir by Renshi Nie, Letian Zhang, Yu Xiong, Changjian Gan, Tao Zhang, Shanshan Lu, Yangyang Chen, Jie Zhan

“…We took the bi-zonal composite model as an example to carry out concrete analysis. …”
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Assessing the developmental effects of fentanyl and impacts on lipidomic profiling using neural stem cell models by Cheng Wang, Jinchun Sun, Rohini Donakonda, Richard Beger, Leah E. Latham, Leihong Wu, Shuliang Liu, Joseph P. Hanig, Fang Liu

“…In the present study, commercially available human neural stem cells (NSCs) were used to model the effects of fentanyl on the developing human brain. …”
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Bias in the estimated association between all-cause mortality and long-term exposure to a specific chemical component of fine particulate matter: The example of black carbon by Jianyu Deng, Ning Kang, Xueqiu Ni, Hong Lu, Meng Wang, Mingkun Tong, Pengfei Li, Mingjin Tang, Tao Xue, Mei Zheng, Tong Zhu

“…Based on the classical OVB formula, we developed a post hoc adjusted model and verified its performance via a simulation study. …”
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Ecological and climatic transferability of airborne lidar-driven aboveground biomass models in Piñon-Juniper woodlands by Jessie F. Eastburn, Michael J. Campbell, Philip E. Dennison, William Rl Anderegg, Kevin J. Barrett, Patrick A. Fekety, Samuel W. Flake, David W. Huffman, Steven A. Kannenberg, Kelly L. Kerr, Andrew J. Sánchez Meador, Jody C. Vogeler

“…Using a large database of 497 field plots compiled from eight sources and a random forest modeling framework, transferability between predictive models was evaluated by grouping field reference plots into two clustering categories based on PJ characteristics: one category generated with environmental variables (climate and topography) and the other using species compositions. …”
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HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts by C. H. Whaley, T. Butler, J. A. Adame, R. Ambulkar, R. Ambulkar, S. R. Arnold, R. R. Buchholz, B. Gaubert, D. S. Hamilton, M. Huang, H. Hung, J. W. Kaiser, J. W. Kaminski, C. Knote, G. Koren, J.-L. Kouassi, M. Lin, T. Liu, J. Ma, K. Manomaiphiboon, E. Bergas Masso, E. Bergas Masso, J. L. McCarty, M. Mertens, M. Parrington, H. Peiro, P. Saxena, S. Sonwani, V. Surapipith, D. Y. T. Tan, D. Y. T. Tan, W. Tang, V. Tanpipat, K. Tsigaridis, K. Tsigaridis, C. Wiedinmyer, O. Wild, Y. Xie, P. Zuidema

“…This paper outlines a multi-model, multi-pollutant, multi-regional study to improve the understanding of the uncertainties and variability in fire atmospheric science, models, and fires' impacts, in addition to providing quantitative estimates of the air pollution and radiative impacts of biomass burning. …”
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A new Maxwell model and its application in researching the compressive creep properties of recombinant bamboo. by Shanshan Shen, Qifeng Gao, Xiaolin Gong, Songsong Sun, Jiahong Fu

“…The main conclusion drawn from the research is that, compared with traditional commonly used models (Kelvin and Burgers), the newly proposed Maxwell model, which is based on the theory of the variable-order fractional derivative, can more accurately simulate the compressive strain creep growth property with relatively fewer parameters, and the stress level effect on the main model parameters can be accurately determined, which makes this approach valuable for actual engineering applications.…”
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