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    How data market drives regional energy efficiency? —Quasi-natural experimental evidence from China by Xiaoxi Cao, Yiye Zhang

    Published 2025-12-01
    “…Enhancing the mechanisms of resource conservation and reallocation through data markets (DM) holds promise for instigating renewed vigor in regional energy efficiency. …”
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    Emerging trends in social media marketing: a retrospective review using data mining and bibliometric analysis by Abu Bashar, Mohammad Wasiq, Brighton Nyagadza, Eugine Tafadzwa Maziriri

    Published 2024-02-01
    “…This study has pointed towards important theoretical and practical implications pertaining to the social media marketing. …”
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    Article
  7. 2387

    Optimizing Poisson-Lindley Parameter Estimation: LQM and Reliability Analysis Applied to Guinea Pig Survival Data by Sameera Othman

    Published 2024-12-01
    “…Through simulation and real data analysis, several estimation techniques are compared and contrasted, demonstrating the superiority of the Linear Quantile Moment approach in terms of accuracy and model fit. …”
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  8. 2388

    Misrepresentation of Overall and By-Gender Mortality Causes in Film Using Online, Crowd-Sourced Data: Quantitative Analysis by Calla Glavin Beauregard, Christopher M Danforth, Peter Sheridan Dodds

    Published 2025-06-01
    “…MethodsUsing crowd-sourced data on over 68,000 film deaths from Cinemorgue Wiki, we employ natural language processing techniques to analyze shifts in representation of deaths in movies versus the 2021 National Vital Statistics Survey top 10 mortality causes. …”
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    Article
  9. 2389

    Implikasi PPAT sebagai Pejabat Umum dalam Kasus Sertifikat Ganda pada Pengumpulan Data Sporadik by Muhammad Irham Husni Mubarok, Indah Nurlaela

    Published 2025-06-01
    “…This article examines the legal implications, responsibilities, and preventive measures that must be undertaken by PPATs in addressing duplicate certificate cases, especially those arising from sporadic data collection. …”
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    Disaggregated money supply and export competitiveness: A causal analysis using Tanzania's sectoral trade data by Enock Mwakalila, Lusekelo Kasongwa, Seif Muba

    Published 2025-01-01
    “…It contributes to the literature by offering sector-specific evidence on monetary transmission, a gap in existing macro-financial studies. Methods: Quarterly data from 2003 to 2024 were sourced from the Bank of Tanzania. …”
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    Synergistic grasp analysis: A cross-sectional exploration using a multi-sensory data glove by Subhash Pratap, Kazuaki Ito, Shyamanta M. Hazarika

    Published 2025-01-01
    “…We introduce a novel multi-sensory data glove, integrated with resistive flex sensors and capacitive force sensors, to measure the intricate dynamics of hand movement. …”
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  17. 2397

    Poverty and Environmental Degradation in Post-Conflict Aceh: A Socioeconomic Panel Data Study of 23 Regions by Rollis Juliansyah, Jul Fahmi Salim, Hidayatul Fitri, Helmi Noviar

    Published 2025-04-01
    “…The novelty of this research lies in its integrative approach, combining inter-regional panel data in a post-conflict setting with socio-economic statistical modeling—an approach rarely applied systematically in the context of Aceh. …”
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    Textile Industry Waste Pollution in the Konto River: A Comparison of Public Perceptions and Water Quality Data by Galang Ayuz Firstian Adjid Adjid, Andi Kurniawan, Nazriati Nazriati

    Published 2022-10-01
    “…Textile industry production activities in one of the Badas areas can have implications for the occurrence of dye liquid waste pollution in the Konto river flow. …”
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    Environmental Risk Assessment of Wuhan Qingshan Industrial Park Based on Multi-Source Data Fusion and FAHP by Yang Yangyi

    Published 2025-01-01
    “…These findings have direct implications for targeted policymaking and zoning reform. …”
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    Predicting Alzheimer's Disease onset: A machine learning framework for early diagnosis using biomarker data by Shehu Mohammed, Neha Malhotra

    Published 2025-01-01
    “…It shows that the proposed multimodal model is superior to single-modality models with an AUC-ROC of 0.94 and reveals that hippocampal volume and plasma p-tau are the most informative biomarkers in the early diagnosis of AD. The study’s implications indicate that combining multimodal data improves diagnostic accuracy and clinical relevance by providing a roadmap to developing personalized medicine and better patient care. …”
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