Showing 7,241 - 7,260 results of 9,156 for search 'issues samples', query time: 0.15s Refine Results
  1. 7241

    Investigating the factors affecting the optimal model of granting rural housing improvement credits; Case study: villages of Malard County by Mohammad Ranjbar, Alireza Estelaji, Majid Karimpour reyhan

    Published 2022-06-01
    “…The population and the statistical sample of the research consists of two parts: experts (20 people) and individuals from local communities (302 people). …”
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    Article
  2. 7242

    Transparency of social-economic determinants in developing the efficient public healthcare system by Svitlana Kolomiiets, Anna Buriak, Maksym Fritsak

    Published 2023-06-01
    “…Firstly, we select a list of keywords for the studied issue. Secondly, the Scopus search engine is activated. …”
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    Article
  3. 7243

    Hinge-FM2I: an approach using image inpainting for interpolating missing data in univariate time series by Saad Noufel, Nadir Maaroufi, Mehdi Najib, Mohamed Bakhouya

    Published 2025-02-01
    “…However, limitations in models and data quality can significantly impact forecasts’ accuracy. One common issue with data quality is the absence of data points, referred to as missing data values. …”
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  4. 7244

    Designing an algorithm to detect depression in users: A quantitative correlational study. by Hodan, T.

    Published 2021-08-01
    “…This study seeks to address this issue by designing a program to predict the likelihood and severity of depression in users by analyzing their Twitter and iMessage histories. …”
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    Characterization and estimation of heterogeneous spatial autocorrelation in spatial autoregressive models. by Jing Zhao, Yue Pu

    Published 2025-01-01
    “…However, the traditional model assumes a constant spatial autocorrelation coefficient, which fails to effectively capture spatial heterogeneity. To address this issue, we propose proposes a novel Spatial Single-Index Varying Coefficient Autoregressive (SSIVCAR) model. …”
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  16. 7256

    Brain Connectivity Yields Insights into the Pathogenesis of Epilepsy and Subtypes: Evidence from Mendelian Randomization Analysis by Zhipeng He, Shishi Tang, Yurong Hu, Yuxuan Li, Junhao Liang, Li Fang, Miaoxin Li, Ziyi Chen, Yi Zhou

    Published 2025-01-01
    “…We conducted a bidirectional two-sample Mendelian randomization (MR) to explore the causal relationship between epilepsy subtypes and brain connectivity properties within RSNs. …”
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  17. 7257

    Monte Carlo Simulation and Experimental Validation for Radiation Protection with Multiple Complex Source Terms and Deep Penetration for a Radioactive Liquid Waste Cementation Facil... by Wenqian Li, Xuegang Liu, Sheng Fang, Xueliang Fu, Kaiqiang Guo

    Published 2020-01-01
    “…Therefore, the multiple volume sources and the scattering effect becomes a key issue in its radiation protection. For this purpose, the Monte Carlo program FLUKA code and experimental measurement were both adopted. …”
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  18. 7258

    EDITORIAL by Ivan Čuk

    Published 2014-02-01
    “… Dear friends, Despite our best intentions to publish this issue on 1 February, there was some delay due to the exhibition on 150 years of Sokolism prepared by our team in the Slovene National Council which opened on 10 February. …”
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  19. 7259

    Rare species support vulnerable functions in high-diversity ecosystems. by David Mouillot, David R Bellwood, Christopher Baraloto, Jerome Chave, Rene Galzin, Mireille Harmelin-Vivien, Michel Kulbicki, Sebastien Lavergne, Sandra Lavorel, Nicolas Mouquet, C E Timothy Paine, Julien Renaud, Wilfried Thuiller

    Published 2013-01-01
    “…This issue is even more critical in species-rich ecosystems where high functional redundancy among species is likely and where it is thus often assumed that ecosystem functioning is buffered against species loss. …”
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  20. 7260

    A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

    Published 2025-05-01
    “…Class imbalance (CI) poses a significant challenge in machine learning, characterized by a substantial disparity in sample sizes between majority and minority classes, leading to a pronounced “long-tail effect” in statistical distributions and subsequent inference processes. …”
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