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  1. 461

    A history of modern Uganda / by Reid, Richard J. (Richard James)

    Published 2017
    Subjects: “…Civilization. fast (OCoLC)fst00862898 11839…”
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    Book
  2. 462

    A History of Modern Uganda / by Reid, Richard J. (Richard James)

    Published 2017
    Subjects: “…Civilization. fast (OCoLC)fst00862898 2200…”
    View in OPAC
    Book
  3. 463
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  6. 466

    Can green attitude complement the influence of green marketing on green purchase intention for fast food products? by Hermanto Hermanto, Astuti Widji, Sugito Pudjo, Triatmanto Boge

    Published 2024-01-01
    “…– This study aims to determine whether a green attitude can complement the influence of green marketing on green purchase intention for environmentally friendly fast-food products, considering the orientation toward sustainable environmental preservation.…”
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    Article
  7. 467

    Tunable control of Cas12 activity promotes universal and fast one-pot nucleic acid detection by Zhou-Hua Cheng, Xi-Yan Luo, Sheng-Song Yu, Di Min, Shu-Xia Zhang, Xiao-Fan Li, Jie-Jie Chen, Dong-Feng Liu, Han-Qing Yu

    Published 2025-01-01
    “…Collectively, this universal and fast one-pot approach based on heparin sodium offers potential possibilities for point-of-care testing.…”
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    Article
  8. 468

    Interference Analysis of Very Fast Transient Overvoltages in Gas-Insulated Substations Using a Hybrid Algorithm by Muhammad Bilal, Hafiz Muhammad Azib Khan, Abdul Mueed, Kamran Liaqat Bhatti, Syed Safdar Raza, Muhammad Siddique

    Published 2025-01-01
    “…The hybrid domain decomposition method-multilevel fast multi-pole algorithm (DDM-MLFMA) is presented herein. …”
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  12. 472

    Fast Low Rank and Sparse Decomposition Based on Greedy Bilateral Smoothing for Infrared Small Target Detection by Yan-Shan Zhang, Ze-Yin Li, Dong-Dong Pang, Lu-Yao Wang, Cheng-Jun Wu, Kang Duan, Jun-Ming Gao

    Published 2024-01-01
    “…To address this issue, this study presents a fast and robust low rank and sparse decomposition algorithm for infrared small target detection. …”
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    Article
  13. 473
  14. 474

    Impaired Fasting Glucose and Diabetes as Predictors for Radial Artery Calcification in End Stage Renal Disease Patients by Katarzyna Janda, Marcin Krzanowski, Mariusz Gajda, Paulina Dumnicka, Danuta Fedak, Grzegorz J. Lis, Piotr Jaśkowski, Jan A. Litwin, Władysław Sułowicz

    Published 2013-01-01
    “…The examined parameters included common carotid artery intima-media thickness (CCA-IMT), BMI, incidence of diabetes and impaired fasting glucose (IFG), dyslipidemia, hypertension, and 3-year mortality. …”
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  15. 475
  16. 476

    The use of a benign fast-growing cyanobacterial species to control microcystin synthesis from Microcystis aeruginosa by Hakyung Lee, Vincent Xu, Jinjin Diao, Runyu Zhao, Moshan Chen, Tae Seok Moon, Haijun Liu, Kimberly M. Parker, Young-Shin Jun, Yinjie J. Tang

    Published 2024-12-01
    “…Furthermore, growth and toxin production were predicted using a kinetic model.Results and discussionFirst, coculture with the fast-growing cyanobacterium Synechococcus elongatus UTEX 2973 (S. elongatus) reduced M. aeruginosa biomass and microcystin production at 30°C. …”
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  17. 477
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    New fast intra-prediction mode selection algorithm based on spatio-temporal predicting for H.264 by XU Ping, SHE Qing-shan, JIN Zhao-yang, XU Wei-dong

    Published 2010-01-01
    “…A new fast intra-prediction mode selection algorithm based on spatio-temporal predicting for H.264 was pre-sented.Using the correlation of spatial and temproal domain in video sequence and constructing the probability histogram of intra prediction mode in the spatial and temporal domain,Pan’s algorithm based on edge direction histogram was im-proved.Experimental results show that the proposed algorithm can significantly reduce coding time and enhance the per-formance of H.264 while maintaining same image quality and output rate.…”
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  20. 480

    Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model by Meng Shi

    Published 2022-01-01
    “…In order to improve the personalized recommendation effect of online shopping products, this article combines online fast learning through latent factor model to construct a personalized virtual planning recommendation system for online shopping products. …”
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    Article