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  1. 1781

    Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

    Published 2024-12-01
    “…Employed techniques encompass Logistic Regression (LR), K-Nearest Neighbor (KNN), Extreme Gradient Boosting (XGB), Light Gradient Boosting Machine (LGBM), in conjunction with deep learning architectures such as Long Short-Term Memory (LSTM) and Artificial Neural Network (ANN). …”
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    Article
  2. 1782

    THE RESERVES OF FISCAL POLICY TO ENSURE THE ECONOMIC GROWTH OF THE COUNTRY by M. Ibrahim

    Published 2017-04-01
    “…Problem in public sector prevent the economy from boasting. These proposals are not just a revision of the notions of achieving economic growth and deliver new tools for economic growth.…”
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    Article
  3. 1783

    Comparative use of different AI methods for the prediction of concrete compressive strength by Mouhamadou Amar

    Published 2025-03-01
    “…The most accurate model was found to be a gradient-boosted tree followed by deep learning and random forest. …”
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    Article
  4. 1784

    An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers. by Michael Owusu-Adjei, James Ben Hayfron-Acquah, Twum Frimpong, Abdul-Salaam Gaddafi

    Published 2025-02-01
    “…Balanced accuracy score obtained for these techniques were; Gradient Boosting 82.73%, Logistic Regression 84.62% and Random Forest 83.02%. …”
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    Article
  5. 1785

    Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

    Published 2025-01-01
    “…The multivariate linear regression (LR), random forest (RF), gradient boosting regressor (GBR), and light gradient boosting machine (LGBR) algorithms were compared in terms of several performance metrics (MAE, MAPE, MSE, and RMSE). …”
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    Article
  6. 1786

    Safety and immunogenicity of an mRNA-1273 vaccine booster in adolescents by Amparo L. Figueroa, Kashif Ali, Gary Berman, Wenqin Xu, Weiping Deng, Bethany Girard, Anne Yeakey, Karen Slobod, Jacqueline Miller, Rituparna Das, Frances Priddy

    Published 2025-12-01
    “…COVID-19 incidence (cases per 1000 person-months) was lower among boosted (0 cases) than non-boosted (95.766 cases) participants in January 2022, a peak period during the early omicron transmission. …”
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    Article
  7. 1787

    Robust nonlinear isolators based on frozen mode exceptional point degeneracies by Serena Landers, William Tuxbury, Ilya Vitebskiy, Tsampikos Kottos

    Published 2025-01-01
    “…When a weak spectral asymmetry is introduced, the group velocity in their proximity varies sharply, boosting the directional nature of the nonlinear interactions and leading to extreme isolation.…”
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    Article
  8. 1788

    Unilateral Thalamic Venous Infarction in an Infant: A Rare Presentation of Bilateral Deep Cerebral Venous Thrombosis by Katherine Chung, Umar Tariq, Rabia M. Khan, Thomas P. Nickles, Joseph H. Lock

    Published 2018-01-01
    “…Early recognition of this atypical pattern will facilitate accurate diagnosis and treatment, and obviate the need for unnecessary interventions.…”
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    Article
  9. 1789
  10. 1790

    Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins by Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, Carlos M. Ardila

    Published 2025-02-01
    “…Hub proteins were identified using Cytoscape and Cytohubba, and machine learning algorithms including naïve Bayes, neural networks, gradient boosting, and random forest were used to predict hub genes. …”
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    Article
  11. 1791

    Advancements in Predictive Analytics: Machine Learning Approaches to Estimating Length of Stay and Mortality in Sepsis by Houssem Ben Khalfallah, Mariem Jelassi, Jacques Demongeot, Narjès Bellamine Ben Saoud

    Published 2025-01-01
    “…After rigorous preprocessing to address missing data and ensure consistency, multiple classifiers, including Random Forest, Extra Trees, and Gradient Boosting, were trained and validated. The results demonstrate that Random Forest and Extra Trees achieve high accuracy for LOS prediction, while Gradient Boosting and Bernoulli Naïve Bayes effectively predict mortality. …”
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    Article
  12. 1792

    Immune Checkpoint Blockade in Melanoma – Earlier is Better? by Vincas Urbonas, Audrius Dulskas, Edita Baltruškevičienė, Daiva Dabkevičienė

    Published 2024-09-01
    “… Administering checkpoint inhibition before surgery, known as neoadjuvant therapy, shows promise in treating bulky yet resectable melanomas, and researchers are investigating its potential in various other cancer types. This approach boasts a considerable success in high pathologic response rate, a factor directly linked to survival rates. …”
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    Article
  13. 1793

    A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

    Published 2024-10-01
    “…Among these algorithms, the Two-Class Boosted Decision Tree method demonstrated outstanding prediction ability, achieving a 100% accuracy rating. …”
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    Article
  14. 1794

    A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System by Min Huang, Dandan Liu, Liyun Ma, Jingyang Wang, Yuming Wang, Yazhou Chen

    Published 2021-01-01
    “…The method consists of Extreme Gradient Boosting algorithm (XGB), Gradient Boosting Decision Tree algorithm (GBDT), K Nearest Neighbor algorithm (KNN), and Decision Tree algorithm (DT). …”
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    Article
  15. 1795

    Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method by Bin Yang, Qingyun Chi, Xiang Li, Jinglong Wang

    Published 2025-01-01
    “…In this method, the multi-source data contain datasets based on the components and targets (DPP-4 and GLP-1). Gradient boosting decision tree (GBDT), flexible neural tree (FNT), and Light Gradient Boosting Machine (LightGBM) algorithms are trained using these two types of datasets, respectively. …”
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    Article
  16. 1796

    Evaluation of Organic (Cow Dung) and Inorganic (NPK) Fertilizers for the Increase of Yields in Cabbages (Brassica Oleracea Var.Capitata). by Nabireeba, Cosma

    Published 2025
    “…Based on the findings, organic manure boosts the height of cabbages significantly but does not have any impact on the number of leaves while NPK boosts the height and number of leaves of cabbages significantly. …”
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    Thesis
  17. 1797

    What if We Seem to Seem and Not Seem? Estimating the Unreasonable Price of Illusionism by Biplab Karak

    Published 2024-04-01
    “… With its strategic consideration of phenomenal consciousness illusorily seeming to us, illusionism claims to deny phenomenality and thereby obviate the hard problem of consciousness. The problem with illusionism, however, is that, although its thesis appears persuasively simple, it strikes as absurd insofar as the phenomenal illusions themselves also seem as much as phenomenality, keeping no fundamental differences between the two. …”
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    Article
  18. 1798

    ASSESSMENT OF THE BRICS MONETARY POLICY by A. A. Aliev

    Published 2020-02-01
    “…The practical significance of the obtained results сonsists in a generalized assessment and an opportunity to evaluate the economic development of the country, taking into account the monetary policy of the BRICS countries.…”
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  19. 1799

    A Definitive Diagnosis of Primary Hodgkin Lymphoma on Endoscopic Biopsy Material Utilizing in-Depth Immunohistochemical Analysis by Garnet Horne, Shaun AC Medlicott, Adnan Mansoor, Johan Lategan, Raymond Lai, P Beck

    Published 2007-01-01
    “…An endoscopy-based approach should obviate more invasive, open biopsy procedures for establishing HL diagnosis.…”
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  20. 1800

    „Vitis mystica”. Aspektychrystologii afektywnej traktatu o Męce Pańskiej św. Bonawentury by Romuald Henryk Kośla

    Published 2023-12-01
    “…Boskie rzeczywistości, takie jak: wcielenie, męka, krzyż czy Najświętsze Serce Jezusa, stanowią dla Bonawentury swoiste „więzienia” miłości, są przede wszystkim otwartymi przestrzeniami, przez które Bóg nie tyle pozwala się poznać, ile bardziej spotkać. …”
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    Article