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Spatial pattern of woody plant species richness and composition in primary warm temperate evergreen forest in Kasugayama Hill, Japan
Published 2024-11-01“…Abstract Plant species richness and composition are influenced by complex interactions between biotic and abiotic factors that operate on different spatial scales. …”
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Modeling of Bending Non-Isothermal Viscoelasticviscoplastic Dynamic Deformation of Shallow Reinforced Shells. Part 1. Problem Formulation and Solution Method
Published 2025-06-01“…Structural relationships of thermomechanics of composites are used, taking into account the complex stress-strain state (SSS) in all phase materials of the composition. …”
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THE WORLDVIEW FOUNDATIONS OF AZERBAIJANI COSMOGONIC AND ETHNOGONIC MYTHS
Published 2023-12-01“…However, the subject of evaluation is not the hero but rather the action, process, or deed – precisely these elements serve as the semantic dominants in the description of cosmogenesis and ethnogenesis. The composition of Azerbaijani myths is characterized by specific elements including repetitions, syntactic and figurative parallelism, implicit and explicit comparisons, popular motifs such as the abduction of the Sun and Moon, worldwide floods, themes of death and immortality, light and darkness, and the portrayal of giants carrying the weight of the world, among others. …”
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Experimental and Numerical Investigation on Damage Resistance Characteristics of Woven E-Glass/Epoxy Composite Laminates Subjected to Drop-Weight Impacts
Published 2023-12-01“…The utilization of composite materials in structural components has been on the rise in the aerospace, automotive, and marine industries. …”
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Semi-Implicit Numerical Integration of Boundary Value Problems
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A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index
Published 2025-07-01“…This study proposes a novel hybrid forecasting approach designed explicitly for long-horizon financial time series. It incorporates LMD (Local Mean Decomposition), SD (Signal Decomposition), and sophisticated machine learning methods. …”
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Probiotics interventions modulating gut microbiota composition in individuals with intestinal constipation: Protocol of a systemic review and meta-analysis of randomized controlled...
Published 2025-01-01“…<h4>Methods</h4>We will execute a systematic evidence search across Medline (via PubMed), Embase, Cochrane CENTRAL, Web of Science, Scopus, and CINAHL, employing explicit search terms and further reference exploration. …”
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Synergistic enhancement in mechanical properties of graphene/MWCNT reinforced Polyaryletherketone – carbon fiber multi-scale composites: Experimental studies and finite element ana...
Published 2025-01-01“…The failure behavior in experimental studies was supported by Abaqus/Explicit-based FEM models of fracture toughness response. …”
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Counting and building operators in theories with hidden symmetries and application to HEFT
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The influence of a vegan diet on body composition, performance and the menstrual cycle in young, recreationally trained women– a 12-week controlled trial
Published 2024-12-01“…The training habits were not explicitly specified, but should not be changed over the entire period. …”
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Lithospheric structure in the Baikal–central Mongolia region from integrated geophysical‐petrological inversion of surface‐wave data and topographic elevation
Published 2012-08-01“…Recent advances in computational petrological modeling provide accurate methods for computing seismic velocities and density within the lithospheric and sub‐lithospheric mantle, given the bulk composition, temperature, and pressure within them. …”
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Layer-level constitutive material model for representing non-linear stress-strain relationships in continuous carbon fiber-reinforced 3D-printed composites
Published 2025-05-01“…3D-printed thermoplastic composites reinforced with continuous fibers exhibit nonlinear mechanical responses mostly due to the viscoelastic matrix and the presence of voids. …”
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Deciphering Membrane Proteins Through Deep Learning Models by Revealing Their Locale Within the Cell
Published 2024-11-01“…A redundancy-curtailed dataset of 3000 proteins from the MemLoci approach is selected for the investigation, along with incorporating pseudo amino acid composition (PseAAC). PseAAC is an exemplary technique for extracting protein information hidden in the amino acid sequences. …”
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Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari...
Published 2024-12-01“…However, the classification of shrublands proved challenging due to their mixed composition and unique spatial patterns, resulting in lower accuracies. …”
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Multi-Agent Systems with Information Sharing: Strategies and Model Checking
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Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections
Published 2025-05-01“…Python symbolic regression (PySR) offers a solution by deriving explicit equations that reveal the governing mechanics of composite structures. …”
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On the Nonlinear Forced Vibration of the Magnetostrictive Laminated Beam in a Complex Environment
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The Impact of Velocity Update Frequency on Time Accuracy for Mantle Convection Particle Methods
Published 2024-07-01“…This has implications for particle methods used to model the advection of quantities such as temperature or composition. A common choice for the numerical treatment of particle trajectories is classical fourth‐order explicit Runge–Kutta (ERK4) integration, which involves a velocity computation at each of its four stages. …”
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