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  1. 441

    Mechanical Performance Test and Plastic Design Method Exploration of Narrow Width Steel Box Composite Beams by Yunteng Chen, Kaiqiang Qin, Yongchun Zhang, Zhenghua Li, Xiangsen Hu, Yawei Guo

    Published 2025-01-01
    “…The load–displacement characteristics, cross-sectional strain distribution, and failure characteristics of the composite beams were analyzed and the model was subjected to finite element numerical simulation and theoretical calculation. …”
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    Article
  2. 442

    System Optimization Scheduling Considering the Full Process of Electrolytic Aluminum Production and the Integration of Thermal Power and Energy Storage by Yulong Yang, Han Yan, Jiaqi Wang, Weiyang Liu, Zhongwen Yan

    Published 2025-01-01
    “…Firstly, to explore the differentiated response capabilities of various devices such as high-energy-consuming electrolytic aluminum units, thermal power units, and energy storage devices to effectively address uncertain variables in the power system, a Variational Mode Decomposition method is introduced to construct differentiated response methods for its low-frequency, medium-frequency, and high-frequency components. …”
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  3. 443

    Assessing spatial variability of soil macro fauna and tree canopy using fractal theory (Case study: Riparian Forest of Maroon River) by Shaieste Gholami, ehsan sayad, Hamid Taleshi

    Published 2016-08-01
    “…The study of distribution and fractal behavior of variables showed intensive variability in the study area. …”
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  4. 444
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  6. 446

    Multivariate Analyses with Two-Step Dimension Reduction for an Association Study Between <sup>11</sup>C-Pittsburgh Compound B and Magnetic Resonance Imaging in Alzheimer’s Disease... by Atsushi Kawaguchi, Fumio Yamashita

    Published 2025-01-01
    “…To study the relationship between Aβ deposition and brain structure, as determined using <sup>11</sup>C-Pittsburgh compound B (PiB) and magnetic resonance imaging (MRI), respectively, we developed a regression model with PiB and MRI data as the predictor and response variables, respectively, and proposed a regression method for studying the association between them based on a supervised sparse multivariate analysis with dimension reduction based on a composite paired basis function. …”
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  7. 447

    Quantifying Temporal Dynamics in Global Cyber Threats: A GPT-Driven Framework for Risk Forecasting and Strategic Intelligence by Fahim Sufi, Musleh Alsulami

    Published 2025-05-01
    “…The framework decomposes the dataset into quarterly intervals and applies mathematical formulations to compute frequency shifts across categorical variables (attack types, industries, countries) and numerical variables (attack significance), followed by robust statistical validations (Chi-square and ANOVA tests), time-series forecasting via ARIMA, and the computation of a Quarterly Composite Index (QCI). …”
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  8. 448

    Validation of body composition parameters extracted via deep learning-based segmentation from routine computed tomographies by Felix O. Hofmann, Christian Heiliger, Tengis Tschaidse, Stefanie Jarmusch, Liv A. Auhage, Ughur Aghamaliyev, Alena B. Gesenhues, Tobias S. Schiergens, Hanno Niess, Matthias Ilmer, Jens Werner, Bernhard W. Renz

    Published 2025-04-01
    “…In this study, we developed and validated a flexible, open-access pipeline integrating available deep learning-based segmentation models with pre- and postprocessing steps to extract body composition measures from routine computed tomography (CT) scans. …”
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    Article
  9. 449

    Digital Environmental Management of Heat Stress Effects on Milk Yield and Composition in a Portuguese Dairy Farm by Daniela Pinto, Rute Santos, Carolina Maia, Ester Bartolomé, João Niza-Ribeiro, Maria Cara d’ Anjo, Mariana Batista, Luís Alcino Conceição

    Published 2025-07-01
    “…These discrepancies may be related to genetic differences between animals, variations in diets, production levels, management conditions, or the statistical models used in previous studies. Dry matter intake proved to be an important predictive variable. …”
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  10. 450
  11. 451

    Quantifying the impact of surface roughness on contact angle dynamics under varying conditions by Mehdi Razavifar, Arastoo Abdi, Ehsan Nikooee, Omidreza Aghili, Masoud Riazi

    Published 2025-05-01
    “…Abstract Despite extensive research in recent years to clarify the role of fluid composition on reservoir wettability, understanding the properties of rock and its solid surface characteristics and their effects on wettability and its alteration remains limited and requires further investigation. …”
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  12. 452

    Process-driven strength enhancement and progressive damage analysis of three-dimensional woven composites traction rods by Hao Huang, Zhongde Shan, Yanming Xing, Zitong Guo, Chunguang Yang, Jianhua Liu, Zheng Sun, Xiaohui Ao, Dong Wang, Chenchen Tan, Weihao Wang, Juncheng Luo

    Published 2025-03-01
    “…This study presents a comprehensive methodology for optimizing the process parameters of three-dimensional (3D) woven composites traction rods using a progressive damage failure model and an embedding feature selection-based back propagation neural network (EFSBPNN) surrogate model. …”
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  13. 453

    Parametric study and optimisation of supercritical extraction of Chlorella Vulgaris microalgae using Response surface methodology by Milap G. Nayak, Reena D. Gamit

    Published 2025-12-01
    “…High R2 and R2adj values confirmed the effectiveness of a quadratic model in describing the effects of both single and interaction variables. …”
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  14. 454

    Failure analysis of hybrid fiber reinforced polymer composite tubes subjected to quasi-static compressive load: an experimental study by S. Sivalingam, T. P. Sathishkumar, L. Rajeshkumar, M. Sathishkumar

    Published 2025-07-01
    “…Results portray that the crash behaviour of the composite tubes was dependent on the number of holes drilled on the circumference and the analysis of variance results revealed that the interaction between all the process parameters affected the output variables. …”
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  15. 455

    A core-shell magnetic layered double hydroxide composite material for the effective decolorization of phenol red by Şakir Yılmaz

    Published 2022-06-01
    “…Furthermore, the statistical model obtained from BBD was sufficient to estimate the PR decolorization on Fe3O4/NiMn-LDH (p &lt; 0.0001). …”
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  16. 456

    Insights Into Magma Reservoir Dynamics From a Global Comparison of Volcanic and Plutonic Zircon Trace Element Variability in Individual Hand Samples by Barbara C. Ratschbacher, C. Brenhin Keller, Kari M. Cooper

    Published 2024-11-01
    “…Modeling of felsic systems (>68.5 wt.% SiO2) indicates that the similar average variability in felsic volcanic and plutonic hand samples cannot be reproduced by closed‐system crystallization of compositionally distinct melts locally within a magma reservoir (i.e., isolated melt pockets in a crystal mush) but requires mixing of at least two felsic melt compositions at a small spatial scale. …”
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  17. 457

    Efficient optimum safety factor approach for system reliability-based design optimization with application to composite yarns by Gh. Kharmanda, I. R. Antypas

    Published 2019-10-01
    “…The integration of reliability and optimization concepts seeks to design structures that should be both economic and reliable. This model is called Reliability-Based Design Optimization (RBDO). …”
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  18. 458

    The Impact of Test Number on the Mechanical Properties of Dracaena Draco Cellulose Fibers for Composite Structures: Weibull Statistic by Abdelwaheb Hadou, Ahmed Belaadi, Messaouda Boumaaza, Boon Xian Chai, Mahmood M. S. Abdullah, Ibrahim M. H. Alshaikh, Amar Al-Khawlani, Djamel Ghernaout

    Published 2025-12-01
    “…The mechanical properties data were statistically analyzed using Weibull and log-normal distributions, as well as their variability was examined and estimated via maximum likelihood and least-squares prediction model with a 95% confidence level.…”
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  19. 459

    Associations of dietary inflammation index and composite dietary antioxidant index with all-cause mortality in COPD patients by Sue Zhao, Yingjie Su, Hongzhong Yang

    Published 2025-01-01
    “…Multivariate Cox proportional hazard models were used to analyze the effects of DII and CDAI on all-cause mortality in COPD. …”
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  20. 460

    Behaviour Analysis of Modeling and Model Evaluating Methods in System Identification for a Multiprocess Station by A. Annie Steffy Beula, Geno Peter, Albert Alexander Stonier, K. Ezhil Vignesh, Vivekananda Ganji

    Published 2024-01-01
    “…The relation between these variables can be brought out by building a model that resembles or expresses the original performance of the system. …”
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