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  1. 2001

    Unlocking Corporate Sustainability: The Transformative Role of Digital–Green Fusion in Driving Sustainable Development Performance by Yue Yang, Fan Luo

    Published 2024-12-01
    “…Utilizing data from China’s A-share listed companies over the period 2010–2022, the analysis reveals that DGF significantly boosts SDP, with results remaining robust through a series of endogeneity and robustness tests. …”
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    Article
  2. 2002

    Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

    Published 2025-01-01
    “…An extreme Gradient Boosting Tree (XGBoost) is used to integrate word vectors and a Large Language Model (LLM) to construct a sentiment recognition model, and finally, a review sentiment index is derived, which unfolds from multiple dimensions to analyze the sentiment tendency in consumer reviews. …”
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  3. 2003

    The Application of New Educational Concepts in Digital Educational Media by Chun Yang

    Published 2022-01-01
    “…In addition, in the two integration models, bagging idea represented by the random forest is more suitable for this group than two gradient boosting.…”
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    Article
  4. 2004

    Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

    Published 2025-01-01
    “…In comparison, the random forest model, which builds multiple decision trees (DT) to do their predictions, demonstrates superior performance over several widely used algorithms such as K-Nearest Neighbours (KNN), Logistic Regression (LR), DT, Support Vector Machines (SVM), and Gradient Boosting (GB). The study reveals that while both models are effective, the Random Forest model provides enhanced predictive accuracy. …”
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  5. 2005

    From a grand hotel to an urban symbol: the Astor Hotel in old and new Tianjin by Taoyu Yang

    Published 2024-08-01
    “…This hotel was not only a venue boasting Tianjin’s most expensive accommodations but also a crucial site where politics, technology, economics, social, and cultural changes intersected and developed in its treaty port incarnation. …”
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  6. 2006

    SCHOOL-BASED VIOLENCE AND PEACE: IMPROVING LEARNING IN HIGHER EDUCATION AMONG ADULT SURVIVORS OF SCHOOL BULLYING by Jonathan Chukwuemeka Madu, Abugu Solomon Ogbonna

    Published 2023-09-01
    “… Promoting equity and egalitarian society is very vital for enhancing human development, and one of the most powerful instruments for this purpose is education, which boosts people’s self-confidence, equips them for their future; to act responsibly in making better choices and relevant contributions in their society. …”
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    Article
  7. 2007

    V-BAG: A virtual bandwidth aggregation scheme for Internet of Things data by Yongsu Gwak, Young Yong Kim, Ronny Yongho Kim

    Published 2017-04-01
    “…Finally, the ACK buffer substantially boosts the performance of the scheduler and estimator with a simple ACK buffering scheme. …”
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    Article
  8. 2008

    Effect of Al~2~O~3~ Passivation on Structured Si/PEDOT:PSS Hybrid Solar Cell by Sameer Alghanmi, Khalid Alshammari

    Published 2025-02-01
    “…Additionally, Al~2~O~3~ thin layer acts as an electron-blocking and hole-transporting layer, resulting in an effective charge separation as well as transport, which boosts the power conversion efficiency. The interface-modified device demonstrates a high open-circuit voltage of 0.612 V as well as a fill factor of 70.7%, leading to a stable efficiency of 14.3% for structural n-Si/PEDOT: PSS HSCs.…”
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  9. 2009

    Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

    Published 2025-01-01
    “…<b>Methods</b>: Kaggle’s dataset from the National Institute of Diabetes and Digestive and Kidney Diseases was analyzed using logistic regression, deep learning, gradient boosting, and decision trees. Causal discovery techniques, such as LiNGAM, were employed to infer relationships between variables. …”
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    Article
  10. 2010

    Grafting in Vegetables: Transforming Crop Production with Cutting-Edge Techniques by Mohsin Raza

    Published 2024-12-01
    “…This innovative, environmentally beneficial strategy has also been boosted by developments in robotic and automated grafting. …”
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    Article
  11. 2011

    Camels, Camel Milk, and Camel Milk Product Situation in Kenya in Relation to the World by Stephen Oselu, Rebecca Ebere, Joshua M. Arimi

    Published 2022-01-01
    “…Camel milk contains natural therapeutically and immunity-boosting properties due to the higher concentration of lactoferrin, lactoglobulins, and lysozyme than bovine milk. …”
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    Article
  12. 2012

    Dynamics between the obstacles of business environment and firm performance in Bangladesh: Survey-based empirical insights using ML algorithms by Chandan Kumar Roy

    Published 2025-01-01
    “…Additionally, the predictive accuracy of the OLS model was compared with several machine learning algorithms, including decision tree, random forest, support vector, and gradient boosting, using a 75-25 training-testing split and k-fold cross-validation. …”
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  13. 2013

    Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction by Jaesung Lee, Dae-Won Kim

    Published 2018-01-01
    “…The empirical experiments on several multilabel datasets show that the multilabel learning process can be boosted without deteriorating the discriminating power of the multilabel classifier.…”
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  14. 2014

    Environmental Monitoring and Assessment for Sustainable Construction Projects: Leveraging Lean Techniques by Ardra Suseelan and Senthil Vadivel. T.

    Published 2024-12-01
    “…According to this study, lean techniques have a strong chance of boosting productivity in the construction industry and developing a sustainable built environment, but they also need to be used widely and continuously to achieve these goals.…”
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    Article
  15. 2015

    Machine learning-based analyzing earthquake-induced slope displacement. by Jiyu Wang, Niaz Muhammad Shahani, Xigui Zheng, Jiang Hongwei, Xin Wei

    Published 2025-01-01
    “…This study evaluates the capabilities of various machine learning models, including artificial neural network (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) in analyzing earthquake-induced slope displacement. …”
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    Article
  16. 2016

    Ultrawideband LNA 1960–2019: Review by Shahab Shahrabadi

    Published 2021-11-01
    “…This article specifically studies the challenges and solutions of designing UWB LNA by reviewing topologies and techniques such as inductive peaking, noise and distortion cancellation, gm‐boosting, active inductor and notch filter. Its historical aspect illustrates when the idea of wideband LNA was born and how it changed to ultrawideband LNA, and its tutorial aspect discusses circuits and achievements to present optimum LNAs in Complementary MOS (CMOS), BiCMOS and High‐Electron‐Mobility Transistor (HEMT) technologies. …”
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  17. 2017

    Reforming Real Estate Valuation for Financial Auditors With AI: An In-Depth Exploration of Current Methods and Future Directions by Silviu-Ionut BABTAN

    Published 2025-02-01
    “…Regression Models quantify attributes, Decision Trees provide clear insights, Random Forests improve predictions, Artificial Neural Networks design elaborate relationships, and XGBoost furnishes advanced boosting techniques for higher performance. Underscoring that AI is meant to support, not substitute, human assessors, the paper presents how these methods can enhance valuation processes, deliver more reliable valuation reports, and decrease errors, while also exploring future innovations and evolving trends in artificial intelligence for real estate industry and related professions.…”
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  18. 2018

    David Lynch’s Los Angeles: Control and Liberation through the Cinematic Image by Jakob Jurisch

    Published 2024-12-01
    “…Arguably, one of America’s greatest cinematic surrealists, David Lynch, boasts a filmography concerned with iconography, the nature of kitsch, and what dark underbellies such images veil. …”
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  19. 2019

    Housing Price Appreciation Effects of Elevator Installation in Old Residential Areas: Empirical Evidence Based on a Multiperiod DID Model by Shichang Ma, Tingting Li, Yunfan Yang

    Published 2022-01-01
    “…The research results show that, overall, the installation of elevators boosts the house prices of the entire community, and the appreciation effect appears in advance due to good market expectations. …”
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  20. 2020

    Navještaj Boga u promjeni epohe: reimaginacijom do obnovljene slike Boga by Hrvoje Kalem

    Published 2024-01-01
    “…Umjesto zaključka u članku se predlaže reimaginacija kao sredstvo kojim je moguće doći do obnovljene slike Boga u navještaju i očistiti kontaminirani kolektivni imaginarij, te se donosi praktičan primjer reimaginacije.…”
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