Genome-scale metabolic modelling of human gut microbes to inform rational community design by Juan Pablo Molina Ortiz, Dale David McClure, Andrew Holmes, Scott Alan Rice, Mark Norman Read, Erin Rose Shanahan

“…While DRC supplementation offers a means to modulate the microbiome therapeutically, its effectiveness is often limited by the microbial community’s complexity and individual variability in microbiome functionality. We utilized genome-scale metabolic models (GEMs) from the AGORA collection to provide a system-level overview of the metabolic capabilities of human gut microbes in terms of carbohydrate trophic networks and propose improved therapeutic interventions, based on microbial community design. …”
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Association between composite dietary antioxidant index and Epstein–Barr virus infection in children aged 6–19 years in the United States: from the national health and nutrition ex... by Wei Cheng, Yunfei Wang, Nan Ding, Rutao Xie

“…Data on EBV results, CDAI, and several other essential variables were analyzed.ResultsCompared with that of individuals in Q3 (−1.627–−0.2727) in the multivariate weighted logistic regression model with full adjustment for confounding variables, the adjusted odds ratio (OR) for CDAI and EBV infection in those in Q1 (−6.613 − −2.9157), Q2 (−2.9158–−1.626), Q4 (−0.2728–1.7601), and Q5 (1.7602–21.419) was 1.41 (95% CI: 1.01–1.96, p = 0.043), 1.10 (95% CI: 0.84–1.45, p = 0.447), 1.14 (95% CI: 0.86–1.51, p = 0.343), and 1.41 (95% CI: 1.01–1.98, p = 0.044), respectively. …”
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Optimization of the methanolysis of lard oil in the production of biodiesel with response surface methodology by Chinyere B. Ezekannagha, Callistus N. Ude, Okechukwu D. Onukwuli

“…A total of 30 individual experiments were conducted and designed to study these process variables. A statistical model predicted that the highest conversion yield of lard biodiesel would be 96.2% at the following optimized reaction conditions: reaction temperature of 65 °C, catalyst amount of 1.25%, time of 40 min, methanol to oil molar ratio of 6:1 at 250 rpm. …”
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Promoting sustainable mobility: A multi-theoretical exploration of attitude-behavior dynamics and consumption value in electric vehicle adoption in India by Amit Kumar Gupta, Ashutosh Dash, Kirti Sharma

“…Confirmatory composite analysis (CCA) strengthens the model's reliability, reinforcing its contribution to environmental sustainability and cleaner mobility solutions.…”
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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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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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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

“…In addition, potential study‐level covariates and moderator variables (eg physical conditions, life styles, gastric microbiome, etc) linked to causal relationships, and their impact, should be recognized and controlled.…”
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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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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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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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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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Attachment style, thought suppression, self-compassion and depression: Testing a serial mediation model. by Clara V Murray, Juno Irma-Louise Jacobs, Adam J Rock, Gavin I Clark

“…A second, post-hoc serial mediation model was tested (Model B), with the only difference being that attachment anxiety replaced attachment avoidance as the independent variable. …”
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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

“…Conversely, indicators such as Women in Management and ESG Controversy Score function as outcome variables. The study redefines ESG governance as a dynamic and adaptive system and offers a replicable method for assessing innovation readiness in high-risk financial environments.…”
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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

“…This study utilizes variables such as hydraulic conditions, curing age, and concrete mixture proportions to develop predictive models for the attrition depth of concrete, employing machine learning approaches including gene expression programming (GEP) and multi-expression programming (MEP). …”
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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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