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  1. 14421
  2. 14422

    Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors by Habeeb Balogun, Hafiz Alaka, Christian Nnaemeka Egwim

    Published 2025-01-01
    “…The purpose of this paper is to pre-process a relatively large data of NO2 from Internet of Thing (IoT) sensors with time-corresponding weather and traffic data and to use the data to develop NO2 prediction models using BA-GS-LSSVM and popular standalone algorithms to allow for a fair comparison. …”
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  3. 14423

    Predicting adherence to gamified cognitive training using early phase game performance data: Towards a just-in-time adherence promotion strategy. by Yuanying Pang, Ankita Singh, Shayok Chakraborty, Neil Charness, Walter R Boot, Zhe He

    Published 2024-01-01
    “…<h4>Background and objectives</h4>This study aims to develop a machine learning-based approach to predict adherence to gamified cognitive training using a variety of baseline measures (demographic, attitudinal, and cognitive abilities) as well as game performance data. We aimed to: (1) identify the cognitive games with the strongest adherence prediction and their key performance indicators; (2) compare baseline characteristics and game performance indicators for adherence prediction, and (3) test ensemble models that use baseline characteristics and game performance data to predict adherence over ten weeks.…”
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  4. 14424

    Principles of Correction for Long-Term Orbital Observations of Atmospheric Composition, Applied to AIRS v.6 CH<sub>4</sub> and CO Data by Vadim Rakitin, Eugenia Fedorova, Andrey Skorokhod, Natalia Kirillova, Natalia Pankratova, Nikolai Elansky

    Published 2025-07-01
    “…The developed methodology for satellite data verification and correction is supposed to be universal and applicable to other long-term orbital observations.…”
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  5. 14425
  6. 14426

    Exploring the causal role of pathogen-derived antibodies in major urinary and kidney diseases: Insights from generalized summary data-based Mendelian randomization by Haoxiang Huang, Bohong Chen, Cong Feng, Wei Chen, Dapeng Wu

    Published 2025-12-01
    “…This study employs Generalized Summary data-based Mendelian Randomization (GSMR) to explore causal relationships between pathogen-derived antibodies and major urinary and kidney diseases.We conducted a two-sample MR analysis using summary statistics from large-scale Genome-Wide Association Studies (GWAS) to assess associations between 46 pathogen-specific antibodies and seven urinary system diseases. …”
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  7. 14427

    Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

    Published 2025-01-01
    “…This study analyzes temperature time series data from the Nairobi County in Kenya, aiming to develop accurate hybrid time series forecasting models. …”
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  8. 14428

    Assessment of solar resource potential and estimation of direct and diffuse solar irradiation from sunshine hours data for Eastern Zone of Tigray, Northern Ethiopia by Amaha Kidanu Atsbeha, Gebrekiros Gebreyesus Gebremariam, Kahsay Gebremicheal Gebru, Abraha Kahsay Kiros

    Published 2025-04-01
    “…This study aims to bridge the existing knowledge gap by providing a detailed empirical analysis of solar radiation in the eastern zone of Tigray, Ethiopia, using ground-based meteorological data from three distinct stations: Adigrat, Atsbi, and Senkata. …”
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  9. 14429

    On measuring agreement with numerically bounded linguistic probability schemes: A re-analysis of data from Wintle, Fraser, Wills, Nicholson, and Fidler (2019). by David R Mandel, Daniel Irwin

    Published 2021-01-01
    “…Accordingly, in the present article, we reanalyzed Wintle et al.'s data using an alternative measure of percentage overlap that does not penalize in-range precision. …”
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  10. 14430
  11. 14431
  12. 14432

    Performance Optimization of 5G–Satellite Integrated Networks for IoT Applications in Smart Cities: A Two-Ray Propagation Model Approach by Mfonobong Uko, Sunday C. Ekpo, Sunday Enahoro, Fanuel Elias

    Published 2024-12-01
    “…The convergence of 5G terrestrial networks with satellite systems offers a revolutionary approach to achieving global, seamless connectivity, particularly for Internet of Things (IoT) applications in urban and rural settings. This paper investigates the implications of this 5G–satellite integrated network architecture, specifically through the application of the two-ray propagation model and the free-space path loss (FSPL) model. …”
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  13. 14433
  14. 14434

    Protection of Personal Data in the System of Modern Accounting in the Context of the Implementation of the Regulation of the European Parliament and of the EU Council 2016/679 of 2... by Katarzyna Świetla

    Published 2019-01-01
    “…The key findings of the study are: noticeable increase in the interest of the contracting parties in data protection issues, as well as presenting their positive aspects along with possible problems in their practical application. …”
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  15. 14435

    Gaps and Data Ambiguities in DNA Reference Libraries: A Limiting Factor for Molecular‐Based Biodiversity Assessments Using Annelids as a Case Study by Marcos A. L. Teixeira, Eva Aylagas, John K. Pearman, Susana Carvalho

    Published 2025-06-01
    “…In this study, we evaluated the completeness of DNA barcode reference data for annelids from the Red Sea, Arabian Gulf and Gulf of Oman and examined its implications for biodiversity assessments. …”
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  16. 14436
  17. 14437

    Spatiotemporal characteristics of vegetation cover change in the Central Yunnan urban agglomeration from 2000 to 2020 based on Landsat data and its driving factors by Rong Wang, Xue Ding, Bangjin Yi, Jinliang Wang

    Published 2024-01-01
    “…Taking the central Yunnan urban cluster as an example, this study utilizes long-term Landsat remote sensing image data from 2000 to 2020 on the Google Earth Engine platform. …”
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  18. 14438

    Marital Bargaining and Assortative Mating on Fertility Preference : Evidence based on Cross-sectional Data in China [version 4; peer review: 2 approved] by Hisahiro Naito, Meiyi Zhuang

    Published 2025-07-01
    “…This dynamic suggests that individuals may seek partners with similar fertility preferences, leading to assortative mating based on these shared preferences. Data and Methods This study investigates second-child fertility outcomes using data from the 2018 China Family Panel Studies and applies the Ordinary Least Squares (OLS) regression. …”
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  19. 14439

    THE ETHICAL STARTUP? by Alexis Walker

    Published 2025-08-01
    “…LunaDNA was founded as a public benefit corporation, with the premise that by receiving shares, participants would benefit financially from any proceeds LunaDNA earned from that data. The company failed to build a steady revenue stream and eventually closed in early 2024, without issuing payouts to contributors, as the company reported no cash reserves.[8]  Ethical, legal, and social implications (ELSI) researchers have noted the challenges that these DNA marketplaces face as data brokers that must gather ongoing consent and manage data privacy.[9] In this piece, I highlight the broader ethical challenges that such marketplaces face, considering the startup sector’s demand for continual innovation and often grandiose speculation, even in the face of frequent organizational change and evolution. …”
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  20. 14440

    Impacts of climate and non-climate factors on cereal crop yield in East Africa: A generalized method of moments (GMM) panel data analysis by Yadeta Bedasa, Adeba Gemechu, Amsalu Bedemo, Bacha Gebissa, Bai Xiuguang

    Published 2025-06-01
    “…The World Bank Development Indicators provided the data for cereal yield, seed, fertilizer, and carbon dioxide emissions, while the Climate Change Knowledge Portal provided the data for mean annual temperature and mean annual precipitation. …”
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