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661
Analysis of codon usage bias in the mitochondrial genome of Pleurozia purpurea
Published 2025-02-01“…Therefore, the CUB in the mitochondrial genome of Pleurozia purpurea is relatively weak, influenced primarily by mutational pressure, and by factors such as natural selection, base composition, and gene length. The research results can provide reference for evolutionary studies of mitochondrial genomes in bryophytes.…”
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662
Advanced prediction of radar reflectivity using U-Net with visual and infrared data from Himawari-8
Published 2025-12-01“…The study concluded that selecting optimal input channels and modifying the model architecture could significantly improve the accuracy and efficiency of radar reflectivity prediction. …”
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663
Leveraging genetic algorithms and neural networks for stiffness and weight optimisation of an unmanned aerial vehicle (UAV) support arm
Published 2025-08-01“…NSGA-II then generates a Pareto front, from which an optimal design is selected and fabricated using fused filament fabrication (FFF) with polylactide (PLA). …”
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664
Entropy-Based Emotion Recognition Using EEG Signals
Published 2025-01-01“…By leveraging these advanced entropy-based methods, the proposed approach significantly enhances classification accuracy while maintaining computational efficiency. The method employs optimal channel selection and data balancing strategies to provide both superior EEG characterization and reduced computational times compared to other entropy-based methods. …”
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665
Efficient Photocatalytic Removal of Aqueous Ammonia Nitrogen by g-C<sub>3</sub>N<sub>4</sub>/CoP Heterojunctions Under Visible Light Illumination
Published 2024-12-01“…For the optimal CP-10 (10% CoP) samples, the removal rate of ammonia nitrogen reached up to 94.8% within 80 min under visible light illumination. …”
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666
METHODS AND MODELS OF RESEARCH OF INVESTMENT ATTRACTIVENESS AND COMPETITIVENESS OF PROJECT-ORIENTED ENTERPRISE IN THE PROCESS OF CREATING INNOVATIVE HIGH-TECH
Published 2022-09-01“…The use of multifactor experiment to assess the investment attractiveness of a project to create a complex product with a component-based architecture is proposed. An optimization model for selecting the rational composition of components in an innovative product is developed. …”
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667
Parametric study and optimisation of supercritical extraction of Chlorella Vulgaris microalgae using Response surface methodology
Published 2025-12-01“…In this work, Chlorella vulgaris microalgae were selected as the feedstock for the extraction of oil using supercritical CO2. …”
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668
The effect of manganese and carbon on the mechanical properties of the welded layer of the bucket teeth of the Hadfield steel excavator
Published 2024-09-01“…The obtained response surfaces and graphs of equal output lines make it possible to establish the level of studied factors’ influence on the optimization parameter. In order to analyze the influence of given factors on the optimization criteria, scatter plots with histograms were constructed, which make it possible to determine the rational values of the selected optimization criteria graphically - impact toughness and wear resistance of the coating…”
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669
Exploring a green and precise approach based on graphene oxide-cobalt ferrite nanocomposite for detection and quantification of vitamin B9 and antibacterial assessment
Published 2025-07-01“…Four parameters of pH, sorbent dose, temperature, and sonication time were selected as effective variables on the process and optimized by central composite design (CCD). …”
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670
Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU
Published 2025-05-01“…Given the instability and high volatility of wind power generation, this study proposes a short-term wind power prediction method based on BWO‒VMD and TCN‒BiGRU to improve the accuracy of wind power prediction and better support the energy transition under the “dual carbon” strategy.MethodsA short-term wind power generation prediction model based on the beluga whale optimization (BWO) algorithm, variational mode de-composition (VMD), temporal convolutional network (TCN), and bidirectional gated recurrent unit (BiGRU) was carefully proposed to improve the prediction accuracy of wind power generation, particularly considering its inherent instability and high volatility. …”
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671
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673
Investigation and application of data balancing and combined discriminant model in rock burst severity prediction
Published 2024-11-01“…Ultimately, a BO-MLP-RF composite prediction model was constructed based on Bayesian Optimization (BO), Multilayer Perceptron (MLP), and Random Forest (RF) algorithms, with the Bayesian Optimization method ensuring that the model fits the training data well and generalizes to the test data. …”
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674
Platinum-Functionalized Hierarchically Structured Flower-like Nickel Ferrite Sheets for High-Performance Acetone Sensing
Published 2025-06-01“…When the Ni/Fe molar ratio is 1:1, the sensing material forms a Ni/NiO/NiFe<sub>2</sub>O<sub>4</sub> composite, with performance further optimized by tuning Pt loading. …”
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675
Gender and sex differences in the outcomes of modern coronary surgery: the main results of the Coronary Revascularization Outcomes Within Necessary Sex And Gender Aspects (CROWN-SA...
Published 2025-05-01“…A differential sex-gender approach should be employed in the selection of the optimal surgical technique for CABG, with the objective of improving patient outcomes following myocardial revascularization.…”
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676
Formation of Plasma Powder Coatings from Cermet with Subsequent High-Energy Modification
Published 2020-11-01Get full text
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677
High-temperature performance evaluation of sustainable date palm fiber concrete with activated carbon: An MCDM and Weibull analysis approach
Published 2025-09-01“…This study advances smart concrete technology by providing a systematic framework for material selection and optimization, paving the way for durable and sustainable high-performance concrete applications. …”
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678
Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-...
Published 2025-07-01“…Integrating rumen microbiome composition (RMC) data may improve genomic prediction accuracy, yet the high dimensionality of RMC data presents computational challenges. …”
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679
Urban Thermal Archetype Classification in the Context of Urban Development Transformation Using Machine Learning Techniques
Published 2025-01-01“…The clustering results were evaluated using both internal and external metrics, with urban thermal performance presented using reliable and representative summer land surface temperature (LST) data reconstructed through rigorous data selection and spatio-temporal image fusion. Results revealed the robust <italic>k-means</italic> to be optimal. …”
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680