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741
Thermal analysis of the prepared lignin/graphene oxide/polyurethane composite
Published 2020-06-01“…The kinetic parameters for each one of the decomposition steps were calculated through four methods of the non-isothermal decomposition kinetics calculations, and the kinetic mechanisms were determined by analyzing the thermal data by using thirty-five solid-state reaction models. …”
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742
Estimation of the compressive strength of ultrahigh performance concrete using machine learning models
Published 2025-03-01“…Using traditional statistical methods, it is difficult for us to quantify the relationships between the technical properties of UHPC and the composition of the mixture because of their complexity and nonlinearity. …”
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743
ScTCN-LightGBM: a hybrid learning method via transposed dimensionality-reduction convolution for loading measurement of industrial material
Published 2023-12-01“…First, we provide an abnormal data processing method to guarantee raw data accuracy. Second, we design a sided-composited temporal convolutional network that combines a novel transposed dimensionality-reduction convolution residual block with the conventional residual block. …”
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744
Gathering evidence on e-rubrics: Perspectives and many facet Rasch analysis of rating behavior
Published 2021-06-01“…This study examined the faculty perspectives towards the use of electronic rubrics and their rating behavior in a freshman composition course. A mixed-methods approach has been employed for data collection and analysis. …”
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745
Optimization of composition and technology for tablets containing aspen bark extract
Published 2015-04-01“…At establishment of optimal composition of the tablets based on aspen bark extract three excipientsinfluence, and also their correlation in composition of tabletshas been studied [8]. …”
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746
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747
STUDY ON BUFFETING ACTIVE CONTROL BASED ON MACRO FIBER COMPOSITES
Published 2020-01-01“…The MFC actuator was modeled using the load simulation method. The aerodynamic forces were simulated by the doublet-lattice method and the control laws were designed applying the negative velocity feedback algorithm. …”
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748
Bubble collapse dynamics near the composite walls: Progress and challenges
Published 2025-05-01“…The present work reviews recent progress made towards developing experimental and numerical investigation for interaction of bubble dynamics and composite response. The goal of our overall efforts is to (1) summarize the progress made in the experimental and numerical modeling and approaches for bubble dynamics near various composite walls, (2) discuss the effect of designability of the composite materials on the bubble dynamics, with special emphasis on the variations of fiber orientation and ply number of composite walls, as well as correspondingly accompanied by tilted jets and opposite migration of bubbles, with experimental and numerical modeling and approaches, (3) improve the understanding of relationship between bubble dynamic behaviors and material’s specific stiffness via experimental data and modified deep neural network method, with particular emphasis on the critical condition of bubble migration under the actions of various material properties. …”
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749
Research of Steel-Concrete Composite Bridge under Blasting Loads
Published 2018-01-01“…This paper presents a study to simulate the performance of steel-plate composite bridge under various blasting loads. The multi-Euler domain method based on the fully coupled Lagrange and Euler models is adopted for the structural analysis of explosion process with the commercial software Autodyn. …”
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750
Analysis of Flutter Characteristics for Composite Laminates in Hypersonic Yawed Flow
Published 2025-02-01“…This paper investigates the flutter characteristics of composite laminates in hypersonic yawed flow using numerical simulations. …”
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751
Analysis of machine learning approaches for the interpretation of acoustic fields obtained by well noise data modelling
Published 2020-03-01“…Machine learning makes it possible to take into account many factors affecting the spectrum of the measured signal, extracting from them exactly those factors associated with a change in phase composition. In order to build the best model, machine learning approaches such as linear regression with different variants of regularisation, Bayesian regression, neural net, methods of supporting vectors, decision tree, random forest and gradient boosting are considered. …”
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752
The impact of multidirectional excitation on the stick–slip vibration characteristics of a drill string
Published 2025-08-01“…The governing nonlinear equations are obtained by using the Lagrangian approach, which take the work done by the multidirectional excitation into consider. The Hertz contact model is introduced considering the constraints of the wellbore, and the finite element node iteration method is employed to solve the dynamics equation of drill string. …”
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753
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754
Evaluation method for public guidance service interface design based on improved grey H-Convex correlation model: integrating layout aesthetics and user visual cognition
Published 2025-05-01“…We propose an enhanced grey H-convex correlation model integrating Bayesian Best Worst Method (BBWM) and modified CRITIC with reference point (M-CRITIC-RP) to address weight determination limitations in existing models. …”
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755
Refined equations and buckling modes under four-point bending loading of the sandwich test specimen with composite facing layers and a transversely flexible core
Published 2022-12-01“…A refined geometrically nonlinear theory of sandwich plates and shells with a flexible soft core and composite facing layers having low shear and compressive stiffness was introduced. …”
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756
Simulation of the process of cryogenic freezing of coriander seeds
Published 2024-07-01Get full text
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757
Modeling insulin resistance in Wistar rats induced by a combined high-fat diet as a predictor of type 2 diabetes (experimental phase 1 study)
Published 2025-04-01“…The aim was to recreate an experimental model of insulin resistance in male Wistar rats by using a diet with a high fat content of combined origin. …”
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758
Prediction of Reduction Recovery of Iron and Vanadium Oxides in Low-Grade Vanadium–Titanium Magnetite Based on Response Surface Model
Published 2025-05-01“…Based on the results of physical experiments, both the response surface method (RSM) and central composite design (CCD) were used to fit the prediction model of the reduction rate of iron and vanadium oxides in low-grade VTM. …”
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759
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760