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Method and Mathematical Modeling of Formation of Gradually and Homogeneously Oriented Linear Polymers
Published 2019-01-01“…Experimental data illustrating the possibilities of the proposed method and the efficiency of mathematical modeling are presented. …”
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282
A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling
Published 2025-06-01“…Using upside-down composites to recycle retired/discarded piezoceramics and then give them a second life in sensor applications paves the way towards sustainable production of piezoelectric materials. …”
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283
Research progress on toughening mechanism and interphase property testing methods of SiCf/SiC ceramic matrix composites
Published 2024-10-01“…In recent years,nano/micro fabrication techniques based on the focused ion beam (FIB)and nano/micro mechanical testing methods based on the nanoindentation are the effective methods to analyze and extract the interphase properties of SiCf/SiC composites. …”
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284
Effects of Cryogenically Treated CFRP Composite on the Buckling Behavior in the Adhesively Bonded Beam
Published 2023-06-01Get full text
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285
Influence of Bolt Failure on Strength Safety of Compression-shear Composite Resilient Wheel
Published 2021-05-01Get full text
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286
A Generic Method for Reaction Rate Modeling in Sequential Polymerization Reactions
Published 2025-12-01“…This research develops a generic method to construct reaction rate models for sequential polymerization reactions. …”
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Selection Method and Application of Dual-Mode TBM in Composite Strata: A Case Study of Shenzhen Metro Line 14
Published 2025-01-01“…The dual-mode tunneling equipment, which has flexible adaptability in complex environment could be the potential solution to the problems of tunneling in longitudinal composite strata. However, traditional selection methods mainly focus on the influence of parameters of an individual stratum, according to empirical analysis. …”
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289
Preparation of FeSiBC soft magnetic composites with excellent magnetic properties and environmental reliability based on mechanofusion method
Published 2025-05-01“…It remains a challenging task to improve the environmental stability of soft magnetic composites (SMCs) due to conventional wet-coating methods. …”
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290
Using a new artificial intelligence‐aided method to assess body composition CT segmentation in colorectal cancer patients
Published 2024-12-01“…Abstract Introduction This study aimed to evaluate the accuracy of our own artificial intelligence (AI)‐generated model to assess automated segmentation and quantification of body composition‐derived computed tomography (CT) slices from the lumber (L3) region in colorectal cancer (CRC) patients. …”
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Vibration-Based Damage Prediction in Composite Concrete–Steel Structures Using Finite Elements
Published 2025-01-01“…Notably, the numerical model equations were carefully modified using the Newton–Raphson method to account for the stiffness degradation resulting from material strains. …”
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294
Correction of the Carbohydrate Composition of Raw Materials for Microbial Transformation Based on Microbial Consortia
Published 2020-12-01“…Such fermentation process can be controlled by adjusting the carbohydrate composition of the substrate. The research objective was to develop an analytical approach to determine the minimum required degree of change in the native carbohydrate composition of substrate that would ensure the synergy of lactic acid microorganisms. …”
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295
Use of an Improved Car-Following Model to Explain the Influence of Traffic Composition on Saturation Headway at Signalized Intersections
Published 2022-01-01“…Previous studies mainly used statistical methods to analyze the impact of traffic composition on saturation flow rate from the mesolevel, and there is insufficient research on how traffic composition affects driving behavior. …”
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296
Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach
Published 2025-07-01“…This research highlights the effectiveness of integrating micromechanical modeling with machine learning to improve the prediction and comprehension of composite behavior, thereby offering valuable insights for the design and application of advanced materials.…”
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Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures
Published 2025-02-01“…The DT framework consists of a two-step computational process integrating multiscale-multiphysics modeling with machine learning (ML) tools to detect damage progression in the piezoelectric composite structure using electrical signal measurements at a few surface points. …”
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299
Impact of ghrelin on body composition and muscle function in a long-term rodent model of critical illness.
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300