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861
Modelling and optimisation of the structural performance of lightweight polypropylene fibre-reinforced LECA concrete
Published 2024-12-01“…However, achieving an optimal balance between structural weight, and performance remains a challenging endeavour. …”
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862
The impact of lean and green practices on logistics performance: a structural equation modelling
Published 2020-03-01Subjects: Get full text
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863
Design of Network Security Anomaly Detection Model Based on SLNA Cell Structure
Published 2024-01-01“…As a result, the study suggests a model for detecting anomalies in network security that is based on the stabilized layer normalized attention unit structure. …”
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864
The Reliability Analysis of a Turbine Rotor Structure Based on the Kriging Surrogate Model
Published 2025-07-01“…First, a parametric model of the turbine rotor was established. This parametric model was subsequently applied in a multifactor fluid–structure interaction model used to analyze the working performance of the turbine rotor. …”
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865
Tracking of Maneuvering Targets Using a Variable Structure Multiple Model Algorithm
Published 2023-07-01“…To overcome these problems, multiple model algorithms with a variable structure (VSMM) were proposed. …”
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866
Model and Method for Determining the Optimal Structure of the Security System for Critical Information Infrastructure
Published 2023-04-01Subjects: Get full text
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867
Computational Model of Outer Circle and Inner Ellipse Shield Tunnel Lining Structure
Published 2021-01-01“…To adapt to the unevenness of the stratum load, in this study, we propose a new shield tunnel lining structure—outer circle and inner ellipse shield tunnel lining structure—whose outer contour remains circular and the inner contour shape of the structure is designed according to the load conditions. …”
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868
Contextualizing Innovation Investor Behaviour Through Structural Simulation Modelling of Influential Factors
Published 2025-04-01“…This study aims to examine the interconnections between self-efficacy, self-determination, and intrinsic motivation among individual investors; to delineate the relationships between intrinsic and extrinsic motivation, investor attitudes, perceived risk, and loyalty; and to develop a conceptual model that synthesizes these relationships. The research methodology is based on interpretive structural modelling (ISM), ensuring a systematic exploration of factor interdependencies. …”
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869
Noise Exposure and Job Stress – a Structural Equation Model in Textile Industries
Published 2020-11-01“…The aim of this study was to model the interactions between independent and mediating variables and job stress using structural equation modeling. …”
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870
A structural and mechanistic model for BSEP dysfunction in PFIC2 cholestatic disease
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871
The Mathematical Model of Solid Structural Unit Heat Distribution Based on the Cluster Approach
Published 2015-12-01Subjects: Get full text
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872
THE UTILIZATION OF STRUCTURAL EQUATION MODELLING TO DETERMINE CASUALITY ON CONSUMER DECISION OF E-WALLET
Published 2024-10-01“…These criteria are used to evaluate their efficacy in persuading customers to adopt an E-Wallet. Structural Equation Modeling (SEM) is used to assess the causal link between e-marketing mix items and customer decisions to use E-Wallet. …”
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873
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874
Retracted: Application of Realistic 3D Model in Building Prefabricated Nanomaterial Structure
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875
Influence of dark matter on the structure of strange quark stars in one-fluid model
Published 2025-03-01“…Abstract This work studies the influence of scalar dark matter on the structural properties of strange quark stars (SQS) within a one-fluid framework, considering Yukawa interactions between dark matter and quark matter. …”
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876
Information hiding algorithm based on mapping and structure data of 3D model
Published 2019-05-01“…The existing 3D information hiding schemes are not robust enough against the joint attacks,as a result the secret information will be vulnerable and cannot be extracted correctly.In order to solve the above problem,an information hiding algorithm based on mapping and structure data of 3D models was proposed.First,several texture maps of the original 3D models in .stl format were picked from the standard model library,so the backup secret data after twice two-dimension discrete Daubechies transform can be embedded using dbl function just as the watermark.Secondly,the original 3D model in .stl format was operated by frame sampling in wavelet domain to obtain the coefficient in transform domain,thus the secret data was embedded into the corresponding transform coefficient.Finally,the .obj documents with the secret information were generated by multiplying the 2D texture map data and the 3D .stl data matrix based on orthogonal projection.Texture maps and coordinate space of 3D model were both used to embed the secret information repeatedly in order to enhance the robustness.The experiment analysis indicated that the imperceptibility,robustness and resistance against analysis are improved and information transmission safety in complex environment can be achieved based on the redundancy space of multi-type carriers.…”
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877
Standard Deformations of Nonlinear Elastic Structural Elements with Power-Law Constitutive Model
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878
Conceptualization of the party structure of "United Russia": experience in the implementation of the universal model in the regions
Published 2024-03-01Subjects: Get full text
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879
Reconstruction and Prediction of Regional Population Migration Neural Network Model with Age Structure
Published 2025-02-01“…The rationale for age-structured population migration system models lies in the significant impact of age patterns on migration dynamics, as age-specific migration rates exhibit distinct regularities and are influenced by life course transitions, socio-economic conditions, and demographic structures. …”
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880
Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration
Published 2024-08-01“…In contrast, a ML approach, wherein the model structure is learned from the data, outperforms traditional models, thus highlighting that there still is significant room for improvement in the structure of traditional models for predicting ET. …”
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