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  1. 421

    Logging Evaluation of Mixed-sediments Reservoirs of the Lower Cambrian Canglangpu Formation in Penglai Gas Area, Central Sichuan Basin by WANG Haiqing, WANG Zeyu, LAI Qiang, LI Shurong, WU Yuyu, ZHANG Mingyong, WANG Yaqing

    Published 2024-10-01
    “…Results show that, the dimensionality reduction method and other methods have solved the problem of calculating the composition and content of more than four kinds of minerals, and the calculation results are highly consistent with the Litho Scanner logging data, the porosity calculated by variable matrix parameters on the basis of tri-porosity logging curves and the permeability calculated by subdivision model are in good agreement with those from core analysis, the electrical imaging logging combined with acoustic remote detection and acoustic velocity tomography has a good application effect to judge the pore space type characteristics and reservoir effectiveness. …”
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    Article
  2. 422

    The Southern Ocean Time Series: a climatological view of hydrography, biogeochemistry, phytoplankton community composition, and carbon export in the Subantarctic Zone by E. H. Shadwick, E. H. Shadwick, C. A. Wynn-Edwards, C. A. Wynn-Edwards, R. S. Eriksen, R. S. Eriksen, R. S. Eriksen, R. S. Eriksen, P. Jansen, X. Yang, X. Yang, G. Woodward, D. Davies

    Published 2025-07-01
    “…Using observations collected at the SOTS site between 1997 and 2022, we present the seasonal variability in upper-ocean hydrography, biogeochemistry, phytoplankton and microplankton community composition, and diversity, along with particulate organic and particulate inorganic carbon export to the deep ocean. …”
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    SELECTING OPTIMAL PROCESS PARAMETERS OF Al2O3/C COMPOSITE USING GRA WITH PCA AND TAGUCHI’S QLF APPROACH by Idrus Syahzaqi, Hani Brilianti Rochmanto, Muhammad Ahsan

    Published 2022-09-01
    “…Based on ANOVA, the R-squared value is 99.97%, which means the tested factor variables can explain the density of the Al2O3/Cu composite by 99.70%. …”
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    Article
  7. 427
  8. 428

    Achieving decarbonization goals in BRICS economies: Revisiting the joint role of composite risk index, green innovation, and environmental policy stringency by Maxwell Chukwudi Udeagha, Nicholas Ngepah

    Published 2023-12-01
    “…The study uses the second-generation cross-sectionally augmented autoregressive distributed lags (CS-ARDL) framework for testing long- and short-run models and addressing the issues of cross-sectional dependency and slope heterogeneity in the data set utilized for analysis. …”
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  9. 429

    Sensitivity and optimization study on heat transfer enhancement of MHD hybrid nanofluid radiative transient flow past a spinning surface with quadratic Boussinesq approximation and... by Thirupathi Thumma, Surender Ontela, Rupalaksmi Dharanikota

    Published 2025-03-01
    “…To optimize and analyze the heat transfer rate, Response Surface Methodology (RSM) is combined with a Central Composite Design (CCD) model, providing a robust framework for both sensitivity and optimization analysis. …”
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    Article
  10. 430

    Kerf geometry prediction and optimization in laser cutting of basalt fiber reinforced polymer composites using decision tree and coati optimization algorithm by Ammar H. Elsheikh, Ninshu Ma, Fadl A. Essa, Mahmoud Khedr, Ahmed Mohamed Mahmoud Ibrahim

    Published 2025-06-01
    “…COA was utilized as an internal optimizer to fine-tune the DT's hyperparameters. The model's accuracy was assessed and compared to a basic DT using various statistical measures, demonstrating superior performance despite the composites' heterogeneous and anisotropic nature. …”
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    Article
  11. 431

    Association of a Combined Body Mass Index and Regional Body Fat Percentage Metric With Fragility Fracture Risk: Evidence from a Large Observational Cohort by Hamzah Amin, Michelle G. Swainson, Muhammed Aqib Khan, Marwan Bukhari

    Published 2025-04-01
    “…However, current fracture risk models, which largely rely on body mass index (BMI), may not fully capture these compositional factors. …”
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    Article
  12. 432

    Modeling of Droplet Deposition in Air-Assisted Spraying by Jian Song, Zhichong Wang, Changyuan Zhai, Chenchen Gu, Kang Zheng, Xuecheng Li, Ronghua Jiang, Ke Xiao

    Published 2025-06-01
    “…The response surface model developed in this study can be applied to variable-rate spraying control systems, thus providing a quantitative basis for dynamic droplet control guided by canopy characteristics. …”
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  13. 433

    Modeling and Reconstruction of Mixed Functional and Molecular Patterns

    Published 2006-01-01
    “…The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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    Article
  14. 434

    Influence of root canal sealer composition on postoperative pain after endodontic treatment of permanent teeth: a systematic review and meta-analyses by Vania Gomes Moraes, Sandra Regina Santos Meyfarth, Guido Artemio Maranón-Vásquez, Lívia Azeredo Alves Antunes, Leonardo Santos Antunes

    Published 2024-05-01
    “…Sealer extrusion is a variable that requires further studies. KEYWORDS Postoperative pain; Root canal treatment; Sealer composition; Sealer extrusion; Systematic review. …”
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  15. 435

    Modeling and Reconstruction of Mixed Functional and Molecular Patterns by Yue Wang, Jianhua Xuan, Rujirutana Srikanchana, Peter L. Choyke

    Published 2006-01-01
    “…The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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  16. 436

    Regression Models for Predicting Physicochemical Properties of Biochar by Chiaw Hui Chiew, Li Yee Lim, Pei Ying Ong, Chunjie Li, Yee Van Fan

    Published 2024-11-01
    “…However, properties like CEC and Specific Surface Area (SSA) presented challenges due to inconsistencies between high R² and higher Root Mean Square Error (RMSE) values, indicating underlying variability. Municipal Solid Waste (MSW) biochar was the most challenging to predict due to its heterogeneous composition. …”
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  17. 437

    Shibboleth: An agent-based model of signalling mimicry. by Jonathan R Goodman, Andrew Caines, Robert A Foley

    Published 2023-01-01
    “…Here, we run five different versions of a 'Shibboleth' model: a first, simple version, which evaluates whether a composite variable of mimicry quality and detection quality is a superior predictor to the model's outcome than is cost of detection. …”
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  18. 438
  19. 439

    The model estimates the level of efficiency of corporate governance by N. A. Volkova

    Published 2018-06-01
    “…However, often in Russia, not all companies are included in the list of rating agencies, especially if these companies belong to medium- sized businesses. In the paper the model of corporate governance  efficiency evaluation is presented in the form of a system of  components, each of which is formed from economic indicators,  taking into account both the economic characteristics of the  enterprise and the qualitative composition of its personnel and not  tied to the quotes of the company’s shares in the stock markets. …”
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  20. 440

    Evolutionary conformation model of salivary gland lithiasis by Álvaro Sánchez Barrueco, Álvaro Sánchez Barrueco, Álvaro Sánchez Barrueco, María Victoria López-Acevedo Cornejo, William Aragonés Sanzen-Baker, William Aragonés Sanzen-Baker, William Aragonés Sanzen-Baker, Sol López-Andrés, Gonzalo Díaz Tapia, Gonzalo Díaz Tapia, Gonzalo Díaz Tapia, Ignacio Alcalá Rueda, Ignacio Alcalá Rueda, Ignacio Alcalá Rueda, Jessica Mireya Santillán Coello, Jessica Mireya Santillán Coello, Jessica Mireya Santillán Coello, Carlos Cenjor Español, Carlos Cenjor Español, Carlos Cenjor Español, José Miguel Villacampa Aubá, José Miguel Villacampa Aubá, José Miguel Villacampa Aubá

    Published 2025-06-01
    “…The coexistence of amorphous phases and structural heterogeneity within layers explains the variability among stones. Detailed SEM-EDX analysis supports a unified conformational model for sialoliths that integrates the interplay of organic substrates, inorganic minerals, bacterial biofilms, and temporal factors.ConclusionsSialoliths are oolitic aggregates featuring a central core surrounded by concentric layers composed of organic and inorganic materials. …”
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