The effect of gamification on brand co-creation in app-based businesses: investigating the mediating role of consumer engagement and the moderating role of hedonic and innovativene... by Rayhane Rezagholizade, Zahra Sadeqi-Arani, Esmail Mazroui

“…Smart-PLS software was used to fit the model. Research Findings In order to test the hypotheses or conceptual model of the research, smart-PLS 3 software was used. …”
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Assessing the Success of Ferula assa-foetida L. Plantation Restoration Operations in Semi-Steppe Rangelands by Linking Plant Functional Traits to Species Diversity by Esfandiar Jahantab, Azam Khosravi Mashizi, Mohsen Sharafatmandrad

“…Structured equation modeling allowed for the study of important individual species in vegetation composition with Assafoetida's mediating role. …”
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Mechanism-Oriented Analysis of Core–Shell Structured CIP@SiO₂ Magnetic Abrasives for Precision-Enhanced Magnetorheological Polishing by Chunyu Li, Shusheng Chen, Zhuoguang Zheng, Yicun Zhu, Bingsan Chen, Yongchao Xu

“…The time-dependent performance analysis further demonstrates that extended polishing durations with CIP@SiO₂ composites progressively eliminate mid-spatial frequency errors without introducing new surface artifacts. …”
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Habitat Characteristics and the Species Response of Astragalus curvirostris Boiss. to the Environmental Factors in Lorestan Rangelands by Reza Siahmansour, Nadia Kamali, Hamid Reza Mirdavoodi, Javad Motamedi

“…Therefore, it is important to include disturbances as predictors in regression-based distribution modeling. In summary, the dynamic of biological factors in grassland ecosystems makes it impossible to definitively assume even the strongest correlations, both in static and dynamic studies, in grassland ecosystems. …”
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Urban Air Mobility Vertiport’s Capacity Simulation and Analysis by Antoni Kopyt, Sebastian Dylicki

“…It was focused on two use cases—high-frequency food delivery utilizing small UASs and extended-range package logistics with larger UASs—and the model incorporates adaptive vertiport zoning strategies, segregating operations into dedicated sectors for battery charging, swapping, and cargo handling to enable parallel processing and mitigate congestion. …”
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Simulation and Analysis of Distributed Reaction Systems by Linda Brodo, Roberto Bruni, Moreno Falaschi, Ion Petre

“…This allows designing complex models by re-using modular components in a well-structured and compositional way, and analysing them with the BioReSolve modelling software. …”
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A data science pipeline applied to Australia's 2022 COVID-19 Omicron waves by James M. Trauer, Angus E. Hughes, David S. Shipman, Michael T. Meehan, Alec S. Henderson, Emma S. McBryde, Romain Ragonnet

“…Extending the base model to include mobility effects slightly improved model fit to data, with this approach selected as the model configuration for further epidemiological inference. …”
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Research on Soft-Sensing Method Based on Adam-FCNN Inversion in <i>Pichia pastoris</i> Fermentation by Bo Wang, Wenyu Ma, Hui Jiang, Shaowen Huang

“…Firstly, a non-deterministic mechanism model is constructed to characterize the dynamic coupling relationships among multiple variables in the fermentation process, and the reversibility of the system and the construction method of the inverse extended model are analyzed. …”
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Variable-Step Semi-Implicit Solver with Adjustable Symmetry and Its Application for Chaos-Based Communication by Vyacheslav Rybin, Ivan Babkin, Yulia Bobrova, Maksim Galchenko, Alexander Mikhailov, Timur Karimov

“…We show that the VS-MCD method is capable of changing the dynamics of the solution by changing the symmetry coefficient (reflecting the ratio between two internal steps within the composition step), which is useful for tuning the dynamics of the obtained discrete model, with no influence of the appropriate step size. …”
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PID Sliding Mode Control of PMSM Based on Improved Terminal Sliding Mode Reaching Law by Guodong Qin, Min Wang, Guizhou Cao, Qi Wang, Yuefeng Liao

“…Firstly, an ITSMRL is proposed to increase the reaching speed and reduce chattering; moreover, it has been verified that the reaching law (RL) can achieve a sliding mode surface in finite time. Then, based on the dynamic model of PMSMs with uncertainties, an extended state observer (ESO) is used to estimate the lumped disturbance, and it is proven that the estimated error is bounded. …”
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A Generalized Shape Function for Vibration Suppression Analysis of Acoustic Black Hole Beams Based on Fractional Calculus Theory by Jun Xu, Ning Chen

“…Since fractional-order constitutive models can more accurately capture the properties of viscoelastic materials, a fractional dynamic model of an ABH structure covered with viscoelastic film is established based on the fractional Kelvin–Voigt constitutive equation and the mechanical analysis of composite structures. …”
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Density and Viscosity in Biodiesel + Diesel Mixtures from Recycled Feedstocks by Gabriela Sánchez-Rodríguez, José Domenzaín-González, Francisco Javier Verónico-Sánchez, Hugo Isidro Pérez-López, Abel Zúñiga-Moreno, Octavio Elizalde-Solis

“…The Redlich–Kister correlation and the theoretical ERAS (Extended Real Association Solution) model were applied for modelling the excess molar volume. …”
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Homogeneity Equation for the Effective Elastic Properties of Heterogenous Rocks Developed From Machine Learning by E. Maalouf, H. Kareem, H. Chebli

“…A two‐dimensional finite element model is employed to calculate, through dynamic loading, the effective Young's modulus and Poisson's ratio of an elastic matrix with properties comparable to sandstones and shales that has ellipsoidal inclusions representing cracks. …”
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Dependency-based fault diagnosis approach for SOA-based systems using Colored Petri Nets by Guru Prasad Bhandari, Ratneshwer

“…It is challenging to guarantee the reliability of service utilization in a distributed, concurrent and dynamic composition of web services. This paper aims to present a fault detection approach of SOA using dependency analysis. …”
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Effects of Periodic Normal Stress Oscillations on Frictional Properties of Simulated Natural Fault Gouges Under In Situ P‐T Conditions by Bowen Yu, A. R. Niemeijer, Jianye Chen, Shengli Ma, J. H. P. deBresser, Jiahui Feng

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Experimental Validation of Sustainable Aviation Fuel (SAF) Blending and Testing Methodologies for Small Turbofan Engine by Alex Ayedun Avwunuketa, Michael Quaicoe, Francis Ayomide Adedeji

“…This study gives information on the combustion dynamics and emission performance of synthetic fuel blends of a small PTD 500 turbofan engine using a kinetically shaped reactivity model that is dependent on chemical kinetics and thermodynamics. …”
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A common origin of the Higgs boson and the flavor hierarchies by Javier M. Lizana

“…This symmetry is spontaneously broken to SU(2) L × U(1) Y near the TeV scale by a condensate of a new composite sector. Charging appropriately the fermionic degrees of freedom of the composite sector, anomaly cancellation enforces the Standard Model fermions to be charged in such a way that the extended gauge interactions respect a U(2) q × U(2) e × U(3) u × U(3) d × U(3) ℓ accidental flavor symmetry. …”
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Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network by Xingang Mou, Yuan He, Wenfeng Li, Xiao Zhou

“…In response to the shortcomings of current spatiotemporal prediction models, which frequently encounter difficulties in temporal feature extraction and the forecasting of medium to high echo intensity regions over extended sequences, this study presents a novel model for radar echo extrapolation that combines a translator encoder-decoder architecture with a spatiotemporal dual-discriminator conditional generative adversarial network (STD-TranslatorNet). …”
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Chromosomal periodicity and positional networks of genes in Escherichia coli by Anthony Mathelier, Alessandra Carbone

“…Abstract The structure of dynamic folds in microbial chromosomes is largely unknown. …”
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Improving fluoroprobe sensor performance through machine learning by D. Lafer, A. Sukenik, T. Zohary, O. Tal

“…The SVR model presented lower mean square error in predicting phytoplankton biomass, and extended FP capabilities to identify also dinoflagellates, an important taxonomic group in Lake Kinneret. …”
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