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  1. 461

    ANALYSIS AND MINIMIZATION OF THE RISKS OF HARMFUL DEPENDENCIES IN THE PROCESS OF CONTINUOUS INTEGRATION AND IMPLEMENTATION OF SOFTWARE CODE by Danil N. Alekseev, Renat M. Khamitov

    Published 2024-10-01
    “…Continuous integration and continuous deployment (CI/CD) processes have become essential elements of modern software development, enabling automation and optimization of work processes. …”
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    Article
  2. 462

    The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics by Carolina V. Giraldo, Sara E. Acevedo, Carlos A. Bonilla

    Published 2024-12-01
    “…The package facilitates analysis of infiltration data, demonstrated through analysing changes in infiltration using published data. …”
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  3. 463
  4. 464

    The Analysis of Customers’ Transactions Based on POS and RFID Data Using Big Data Analytics Tools in the Retail Space of the Future by Marina Kholod, Alberto Celani, Gianandrea Ciaramella

    Published 2024-12-01
    “…In today’s business landscape, the volume of transaction data is rapidly increasing. This study explores the integration of Point of Sale (POS) and Radio-Frequency Identification (RFID) technologies to enhance the analysis of customer transactions using big data tools. …”
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    Diffractogram data processing module for electronic journal. Finding diffraction maximum by Roman D. Gerasimov, Arseny D. Starikov

    Published 2024-09-01
    “…Aim. To develop a digital solution for centralized storage of experimental data related to the production of solid crystalline materials and for primary analysis. …”
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    Dataset of near-infrared (NIR) spectral data for prediction of organic matter and total carbon in agricultural soil using homemade NIR spectrometerMendeley Data by Natchanon Santasup, Parichat Theanjumpol, Choochad Santasup, Sila Kittiwachana, Nipon Mawan, Nuttapon Khongdee

    Published 2025-08-01
    “…The paper presents the spectroscopic data obtained from a homemade NIR spectrometer developed for agricultural quality analysis, along with the calibration and validation of a model database for predicting agricultural soil properties. …”
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    ORDINAL LOGISTIC REGRESSION MODEL AND CLASSIFICATION TREE ON ORDINAL RESPONSE DATA by Jajang Jajang, Nunung Nurhayati, Suci Jena Mufida

    Published 2022-03-01
    “…Comparison of the accuracy LR model and Classification Tree in classification analysis shows that if the training data used is 60%-70% the LR model is better than Classification Tree, while the training data used is more than 70% and less than 86% then the Classification Tree model is better than LR.…”
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  14. 474

    Road Traffic Accident Data Standardization System Based on Field Map by Wangfang Yuan, Hanjie Lu, Jiatao Zhang

    Published 2024-01-01
    “…Crashview is a computer-assisted accident analysis software that was self-developed and designed by Professor Wei Lang from Chang’an University in China. …”
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    Article
  15. 475

    Efficiency analysis of wheat production in Baghlan Province: a data envelopment analysis (DEA) based approach by Hafizullah Radmand, Farshid Eshraghi, Ali Keramatzadeh, Habibullah Rezaei

    Published 2025-05-01
    “…This study aims to analyze the economic efficiency of wheat production in Baghlan province, employing the data envelopment analysis (DEA) method. Data for the analysis were gathered through simple random sampling and the completion of 300 questionnaires during the agricultural year 2023. …”
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    An enhanced gene function analysis platform for Gastrodia Elata integrating further omics data and analysis tools by Bingbing Pan, Jingjie Zhang, Jiangxin Yang, Hang Yang, Qi Pan, Panpan Zhu, Jun Li, Jiaotong Yang

    Published 2025-08-01
    “…The growing multi-omics data demands an updated platform to include the latest G.elata genome and transcriptome, thereby enhancing gene function analysis for researchers. …”
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  19. 479

    Development of the outdoor personal thermal index (OPTI) for evaluating heat strain risk using personal, observational, geographical, and meteorological data by Zahra Ordudari, Saeid Yazdanirad, Habibollah Dehghan, Mohammadreza Azhdari

    Published 2025-07-01
    “…Conclusions The OPTI index, which was developed based on personal, observational, geographical, and meteorological data, proved to be a simple, accurate, and reliable index for predicting thermal strain, demonstrating compatibility with human physiological responses.…”
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    Article
  20. 480