Showing 1,241 - 1,260 results of 5,445 for search 'quantitative data processing', query time: 0.19s Refine Results
  1. 1241

    The Contribution of Teaching Practice to Preservice Teachers’ Training – Empirical Research of the Department of Primary Education of Western Macedonia University Students’ Evaluat... by Pavlos Stavridis, Vasiliki Papadopoulou

    Published 2022-12-01
    “…Results – The research data showed that a connection between pedagogical theory and practical application in the classroom was achieved to a satisfactory degree. …”
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    Article
  2. 1242

    The Faces and Forms of Pandemic Humor: Exploring Covid-19 Memes with Visual Machine Learning by Mark Boukes, Giselinde Kuipers, Zilin Lin, Savvas Zannettou

    Published 2024-05-01
    “…By combining large-scale computational analysis with in-depth analysis, we bridge a gap in in meme studies between (mostly quantitative) data sciences and (mostly qualitative) communication and media studies. …”
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    Article
  3. 1243

    The Influence of Educational Employees’ Policy Alienation on Their Change Cynicism: An Investigation in the Turkish Public-Schooling Context by Tijen Tulubas

    Published 2022-03-01
    “…Data were collected using two Likert-type scales, the Policy Alienation Scale and the Cynicism about Organizational Change Scale, and then analyzed using descriptive statistics, t-test, ANOVA, and regression testing. …”
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  10. 1250

    Gelatinous macrozooplankton in the North Sea: Biodiversity and distribution pattern during winter 2023-Q1 datasetzenodo by Camilla Juul Dahl Jensen, Marie Meffre, Malin Werner, Bastian Huwer, Hermann Neumann, Cornelia Jaspers

    Published 2025-06-01
    “…The biodiversity and distribution of gelatinous macrozooplankton in the North Sea and adjacent waters during winter (January/February) 2023 is presented both quantitatively and qualitatively. The data include species-specific jellyfish and comb jelly community data, encountered during the North Sea - Midwater Ring Net (MIK) survey [1]. …”
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    Article
  11. 1251

    Amplicon-based metagenomic survey of microbes associated with the organic and inorganic rhizosphere soil of Glycine max L. by Olubukola Oluranti Babalola, Ijeoma Emelda Osuji, Akinlolu Olalekan Akanmu

    Published 2025-06-01
    “…Amplicon sequencing was performed on the Illumina platform, and the raw sequence data were processed and analyzed using Quantitative Insights Into Microbial Ecology (QIIME 2 version 2019.1.). …”
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    Article
  12. 1252

    Clustering of listed stock exchange companies active in the cement using the FPC clustering algorithm by Leila Safari-monjeghtapeh, Mansour Esmaeilpour

    Published 2024-01-01
    “…The analysis process involves extracting the stock market data of these companies over the past two years. …”
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  13. 1253

    Identifying and Prioritizing the Opportunities and Challenges of Artificial Intelligence in Knowledge Management Based on the Hicks' Model Using the Gray Relationship Analysis Meth... by Jalal Rezaeenour, Bent-ol hoda khabbazan

    Published 2024-03-01
    “…Considering the increasing development of new technologies including artificial intelligence, the purpose of this research is to identify the opportunities and challenges of artificial intelligence in knowledge management based on the Hicks' four-stage model.This research in terms of practical purpose, in terms of research method and descriptive analytical data collection is of a survey type, in terms of the basis of the type of data collected it is of a quantitative type and uses the tool of a questionnaire to identify and prioritize the opportunities and challenges of artificial intelligence in Knowledge management. …”
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    Article
  14. 1254

    Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

    Published 2025-07-01
    “…This study investigates rainfall variability from 2003 to 2021, emphasizing the integration of machine learning to enhance the accuracy of Quantitative Precipitation Estimation (QPE). Methods This research utilizes extensive rainfall records from gauges and ERA5 climate data, processed at high temporal resolution across 19 years. …”
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  15. 1255

    Behavioral factors and capital structure: identification and prioritization of influential factors by Ehsan Ahmadi, Parastoo Mohammadi, Farimah Mokhatab Rafei, Shib Sankar Sana

    Published 2025-03-01
    “…Subsequently, for the quantitative phase, managers from leading Tehran Stock Exchange–listed companies were surveyed to prioritize the model components via the Analytic Hierarchy Process (AHP). …”
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    Article
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  17. 1257

    The role of digital green accounting and environment performance on forest sustainable development goals: A case study on customary forest in Papu by Otniel Safkaur, Bill Pangayow, Halomoan Hutajulu, Lediana Hanasbe

    Published 2025-01-01
    “…The population of this research is indigenous community leaders and the sample of respondents for this research is 432 indigenous community leaders determined using a simple random sampling method. Data analysis for this research uses structural equation modelling (SEM) partial least squares (PLS) with data processing tools using SmartPLS 4.0 software. …”
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  18. 1258

    The role of religiosity, product knowledge and product assessment on digital purchasing of halal products by Darsita Suparno, Ahmad Satori Ismail, Nadra Nadra, Ita Fitriana

    Published 2025-01-01
    “…The research analysis uses the structural equation modeling partial least squares (SEM-PLS) method and uses data processing tools with SmartP LS 4.0 software. …”
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    Article
  19. 1259

    Unraveling the Reshaping of Human Resource Management Function: the mediating role of artificial intelligence by Samuel Bangura, Anos Chitamba Chitamba, Lucia Zithobile Ngidi, Sizwe Mbona

    Published 2025-06-01
    “…The results indicate that AI supports HRM professionals in executing tasks more efficiently and facilitates data analysis and process optimization. Additionally, the findings suggest that AI contributes to streamlining HR processes and has a positive impact on work-life balance, demonstrating that automation can improve both operational efficiency and employee well-being. …”
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