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    Venture Capital and Leveraged Buyout: What Is the Difference in Eastern Europe? – A Cross-Country Panel Data Analysis by Mihai Precup

    Published 2017-12-01
    “…Additionally, this paper presents the main highlights in terms of evolution of leveraged buyout investments and venture capital investments during the recent crisis in the European emerging countries. The panel data analysis used in this paper will include determinants consecrated in previous studies such as GDP growth, market capitalization or R&D expenditures, as well as new variables such as productivity and corruption index. …”
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  3. 1783
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    A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer. by Koyel Majumdar, Romina Silva, Antoinette Sabrina Perry, Ronald William Watson, Andrea Rau, Florence Jaffrezic, Thomas Brendan Murphy, Isobel Claire Gormley

    Published 2024-01-01
    “…However, differential analysis of bounded DNA methylation data often requires data transformation, reducing biological interpretability. …”
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  5. 1785
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    Exploring technological evolution of AIED field using topic modelling and link prediction analysis based on patent data by Hüseyin Özçınar, Aylin Sabancı Bayramoğlu

    Published 2025-12-01
    “…Descriptive statistics were used to investigate the current actors in the field and the changes in their contributions. Technological developments in the field were attempted to be revealed using topic modelling and IPC code pair trend analysis methods. …”
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    MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models by Yingzan Ren, Tiantian Zhang, Jian Liu, Fubin Ma, Jiaxin Chen, Ponian Li, Guodong Xiao, Chuanqi Sun, Yusen Zhang

    Published 2025-02-01
    “…Based on integrated analysis of Multi-Omics data and Network models, we present MONet, a novel cancer driver gene identification algorithm. …”
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  10. 1790

    A tripartite evolutionary game analysis of stakeholder decision-making behavior in the internet of vehicles data supply chain by Ruihan Wu, Jian Yang

    Published 2025-03-01
    “…The Internet of Vehicles, as a new generation of information infrastructure that integrates multiple industries such as automotive, information communication, and transportation, is currently in a rapid development stage. However, its data supply chain involves numerous stakeholders and faces severe challenges in terms of data sharing, security, and regulation. …”
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  11. 1791

    Meta-Analysis of Wild Relatives and Domesticated Species of Rice, Tomato, and Soybean Using Publicly Available Transcriptome Data by Makoto Yumiya, Hidemasa Bono

    Published 2025-07-01
    “…We performed a meta-analysis of public gene expression data of domesticated species of rice, tomato, and soybean and their presumed ancestral species using 21 pairs for rice, 36 pairs for tomato, and 56 pairs for soybean. …”
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  12. 1792

    Tactics and strategy analysis in professional badminton: insights from match data and performance metrics- a systematic review by Eval Edmizal, Dally Rahman, Eri Barlian, Donie Donie, Alnedral Alnedral

    Published 2024-12-01
    “…Keywords: Professional badminton, Tactics and strategy analysis, Match data, Athlete performance metrics, Systematic review …”
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    Data-Driven Analysis: Examining the Impact of COVID-19 from the Perspective of Residential and Non-Residential Electricity Consumption by Zhiheng Yang, Xiu Cao, Qifan Zhang

    Published 2024-12-01
    “…We verify the significant negative impact of the pandemic on the real estate sector by the analysis of electricity consumption across different sectors. …”
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  17. 1797

    Passive smoking and chronic obstructive pulmonary disease: cross-sectional analysis of data from the Health Survey for England by Peymane Adab, Rachel E Jordan, Kar Keung Cheng, Martin R Miller

    Published 2011-11-01
    “…In this cross-sectional analysis of data from 3 years of the Health Survey for England, the association between passive smoking exposure and risk of COPD is evaluated.Design Cross-sectional analysis of the 1995, 1996 and 2001 Health Surveys for England including participants of white ethnicity, aged 40+ years with valid lung function data. …”
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  18. 1798

    Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research by Usman Ahmad Usmani, Izzatdin Abdul Aziz, Jafreezal Jaafar, Junzo Watada

    Published 2024-01-01
    “…This review article provides a comprehensive analysis of different deep learning techniques for anomaly detection in time-series data, examining their applicability across various industries and discussing the associated challenges. …”
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