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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Modelling Energy Demands of Cross-Country Tests in 2-Star to 5-Star Eventing Competitions by Anna M. Liedtke, Hans Meijer, Stephanie Horstmann, Caroline von Reitzenstein, Insa Rump, Katharina Kirsch

“…This study presents a composite model to estimate energy expenditure during the cross-country phase, integrating physiological data (heart rate-derived <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>V</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></semantics></math></inline-formula> and lactate-based anaerobic estimates) with external workload indicators (GPS-derived speed, elevation, and course complexity). …”
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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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Neuroprotective effects of essential oils in animal models of Alzheimer’s and Parkinson’s disease: a systematic review by Adrielle do Espírito Santos Macedo, Thayná Moraes Ferreira, Lane Viana Krejcová, Fernando Allan de Farias Rocha, Joyce Kelly R. da Silva, Laís Resque Russo Pedrosa, Bruno Duarte Gomes

“…Studies primarily utilized Wistar rats (46.15%) and various mouse strains, employing diverse disease induction methods including β-amyloid administration (30.7% of AD models), rotenone (7.7% of PD models), and 6-hydroxydopamine (7.7% of PD models). …”
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Influence of Guluronic and Mannuronic Groups in Sodium Alginate Blends with Silk Fibroin: Phase Equilibrium and Thermodynamic Modeling by Laise Maia Lopes, Mariana Agostini de Moraes, Marisa Masumi Beppu

“…The influence of the proportion between mannuronic and guluronic acids on SA composition was investigated. After phase separation, two phases were identified, and the equilibrium data were fitted on three different thermodynamic models: Flory–Huggins, non-random two-liquids, and universal quasichemical. …”
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Calcium coordination polymer containing dimethylphosphate ligands and exhibiting nucleating properties towards α and Β crystal polymorphs of isotactic polypropylene by Maciej Dębowski, Mateusz Kullas, Krystyna Czaja, Beata Sacher-Majewska, Marcin Bączek, Maciej Dranka, Andrzej Ostrowski, Zbigniew Florjańczyk

“…Mechanical tests proved that the CaDMP-containing composites exhibited better ductility and impact strength than neat iPP.…”
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Modeling the Impact of Landscape Dynamics on Soil Erosion in Eastern DR Congo: Implications for Sustainable Land Management by Jean Nacishali Nteranya, Andrew Kiplagat, Elias K. Ucakuwun, Chantal Kabonyi Nzabandora

“…The landscape metrics, which significantly influenced the erosion dynamics with composition indices, collectively explained 60.9%, while the landscape structure metrics explained 34.89% of annual soil erosion rate variability in the best fit developed models. …”
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Optimization of Biodiesel Yield Synthesized by Calcium Oxide Nano-catalyst Trans-esterified Jatropha curcas Oil by O. Eyide, W. C. Ulakpa, P. I. Nwabuokei

“…Hence, the objective of this paper was to optimize biodiesel yield synthesized by calcium oxide (CaO) nano-catalyst trans-esterified Jatropha curcas oil (JCO) using Response Surface Methodology (RSM) through central composite design. These runs evaluated four process variables: the methanol-to-oil molar ratio (from 1:4 to 12:1), catalyst concentration (from 0.5 to 2.5 wt. %), reaction temperature (from 35 to 75 °C), and reaction time (from 40 to 80 minutes). …”
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Optimization of Biodiesel Yield Synthesized by Calcium Oxide Nano-catalyst Trans-esterified Jatropha curcas Oil by O. Eyide, W. C. Ulakpa, P. I. Nwabuokei

“…Hence, the objective of this paper was to optimize biodiesel yield synthesized by calcium oxide (CaO) nano-catalyst trans-esterified Jatropha curcas oil (JCO) using Response Surface Methodology (RSM) through central composite design. These runs evaluated four process variables: the methanol-to-oil molar ratio (from 1:4 to 12:1), catalyst concentration (from 0.5 to 2.5 wt. %), reaction temperature (from 35 to 75 °C), and reaction time (from 40 to 80 minutes). …”
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Optimization of Biodiesel Yield Synthesized by Calcium Oxide Nano-catalyst Trans-esterified Jatropha curcas Oil by O. Eyide, W. C. Ulakpa, P. I. Nwabuokei

“…Hence, the objective of this paper was to optimize biodiesel yield synthesized by calcium oxide (CaO) nano-catalyst trans-esterified Jatropha curcas oil (JCO) using Response Surface Methodology (RSM) through central composite design. These runs evaluated four process variables: the methanol-to-oil molar ratio (from 1:4 to 12:1), catalyst concentration (from 0.5 to 2.5 wt. %), reaction temperature (from 35 to 75 °C), and reaction time (from 40 to 80 minutes). …”
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Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models by Mohammad Hossein Pishvaei, Shabnam Noroozpour, Touraj Sabzevari, Mostafa Akbari Kheirabadi, Andrea Petroselli

“…Infiltration, the process by which water enters the soil, is intricately intertwined with the attributes of the catchment, including soil composition and vegetation cover, both of which exhibit temporal and spatial variability. …”
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Investigating the strength performance of 3D printed fiber-reinforced concrete using applicable predictive models by Lu Qianyang, Mei Song, AlAteah Ali H., Alsubeai Ali, Eldin Mohammad Mohie, Ahmed Hafez Mohamed

“…Making changes to the mixture composition of 3D-printed fiber-reinforced concrete (3DP-FRC) involves a lot of trial and error due to the many interdependent variables. …”
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Building a Data Store with the Dynamic Structure by Yu. N. Artamonov

“…The revealed contradiction is related to the temporality of the values of individual data attributes, the variability of the composition of these attributes, and structure of connections between them. …”
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The utility of dynamic forest structure from GEDI lidar fusion in tropical mammal species distribution models by Patrick Burns, Zaneta Kaszta, Samuel A. Cushman, Samuel A. Cushman, Jedediah F. Brodie, Jedediah F. Brodie, Christopher R. Hakkenberg, Patrick Jantz, Mairin Deith, Matthew Scott Luskin, James G. C. Ball, Jayasilan Mohd-Azlan, David F. R. P. Burslem, Susan M. Cheyne, Susan M. Cheyne, Iding Haidir, Iding Haidir, Andrew James Hearn, Eleanor Slade, Peter J. Williams, David W. Macdonald, Scott J. Goetz

“…For the SDM analyses, we tested several combinations of predictor sets and found that when considering a large pool of multiscale predictors, the exact composition, and whether GEDI Fusion predictors were included, didn’t have a large impact on generalized linear modeling (GLM) and Random Forest (RF) model performance. …”
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Nile Red Staining for Oil Determination in Microalgal Cells: A New Insight through Statistical Modelling by Ronald Halim, Paul A. Webley

“…In its first phase, this study examined the dependence of microalgal Nile red fluorescence (Tetraselmis suecica) in terms of its most pertinent staining variables. A quadratic surface model that successfully described the Nile red fluorescence intensity as a composite function of its variables was generated (r2=0.86). …”
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Integrating observational and modelled data to advance the understanding of heat stress effects on pregnant subsistence farmers in the gambia by Carole Bouverat, Jainaba Badjie, Tida Samateh, Tida Saidy, Kris A. Murray, Andrew M. Prentice, Neil Maxwell, Andy Haines, Ana Maria Vicedo Cabrera, Ana Bonell

“…Associations between physiological and environmental variables were assessed through Pearson correlation coefficient analysis, mixed effect linear models with random intercepts per participant and confirmatory composite analysis. …”
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Numerical Modeling of the Impact of Natural Tropical Oscillations on the Amplitudes of Atmospheric Tides During Sudden Stratospheric Warming by Koval' Andrey Vladislavovich, Vargin Pavel, Gavrilov Nikolai Mihaylovich, Didenko Kseniia Andreevna, Ermakova Tatiana, Efimov Matvey Maksimovich, Sokolov Arseniy

“…In order to study the evolution of atmospheric tides, model simulations of the general atmospheric circulation were carried out using a 3-dimensional nonlinear mechanistic model “MUAM”. …”
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Establishing strength prediction models for low-carbon rubberized cementitious mortar using advanced AI tools by Fu Limei, Xu Feng

“…Rubberized cementitious composites have emerged as a sustainable alternative in the construction sector by promoting circular economy principles. …”
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Hybrid Gaussian Process Regression Models for Accurate Prediction of Carbonation-Induced Steel Corrosion in Cementitious Mortars by Teerapun Saeheaw

“…Four Gaussian Process Regression (GPR) variants were systematically developed: Baseline GPR with manual optimization, Expert Knowledge GPR employing domain-driven dual-kernel architecture, GPR with Automatic Relevance Determination (GPR-ARD) for feature selection, and GPR-OptCorrosion featuring specialized multi-component composite kernels. The models were trained and validated using 180 carbonated mortar specimens with 15 systematically categorized variables spanning mixture, material, environmental, and electrochemical parameters. …”
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