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  1. 341

    Carbon Sequestration and Storage by Gainesville’s Urban Forest by Francisco Escobedo, Jennifer A. Seitz, Wayne Zipperer

    Published 2012-03-01
    “…In addition, decomposing trees and mulch, tree maintenance activities, and improperly placed trees that cause shading in winter can also result in emissions of CO2, so it is important for communities to reduce fossil fuel emissions and manage for and preserve large, healthy trees to maximize the amount of CO2 sequestered by an urban forest. …”
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  2. 342

    Improving Inservice Teacher Workshops in Florida by Martha C. Monroe, Jenny Seitz, Shruti Agrawal, Michelle Aldridge, Sheda Morshed, Elizabeth Swiman, Vicki Crisp

    Published 2005-12-01
    “…This fact sheet defines the terms that are most helpful and provides suggestions for planning, advertising, delivering, and evaluating workshops to meet the needs of our teachers. Project Learning Tree (PLT) workshops are used as an example of how nonformal education facilitators could adapt their workshops to better address the new professional development system. …”
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  3. 343

    Citrus Herbicide Boom Sprayer Calibration by Stephen H. Futch, Masoud Salyani

    Published 2005-09-01
    “…Improperly adjusted equipment will result in uneven distribution of spray material, delivering questionable application rates which may result in poor weed control and/or possible tree damage due to potentially high rates. Incorrect application rates may result in increased weed control costs as a result of over application of herbicide material or the need to repeat application due to poor weed control. …”
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  4. 344

    Symbolism in the Samaria ivories and architecture by D. N. Pienaar

    Published 2008-12-01
    “…The second group consists mainly of the so-called Woman at the Window, the Winged Sphinx, Winged Figures in Human Form, Horus and Ma’at, the Lion and Bull Plaques, as well as the Tree of Life Motif in ivory. The latter is also represented in the Proto-Ionic capitals uncovered at many different sites, including Samaria. …”
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  5. 345

    Field Identification of Citrus Canker Symptoms and Decontamination Procedures by Mongi Zekri, Megan M. Dewdney, Jamie D. Yates, Pamela Roberts

    Published 2011-07-01
    “…Severely infected trees become weak, unproductive, and unprofitable. …”
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  6. 346

    Breaking Seed Dormancy in Tamarind (<i>Tamarindus Indica</i>) A Case Study of Gombe Local Government Area by ZA Abubakar, A Muhammad

    Published 2013-07-01
    “…Results of this research may serve as useful information in the production and improvement of the tree species, as knowledge on seed germination requirements is a critical factor in seedlings production…”
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  7. 347

    Establishment of Silvopasture in Existing Pastures by Jarek Nowak, Alan Long, Ann Blount

    Published 2004-03-01
    “… Silvopasture establishment requires a number of different management steps depending on previous land use. Planting trees in an existing improved pasture is the easiest way to start the system. …”
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  8. 348

    Jesus and "the Daniel code" by G. Thom

    Published 2011-12-01
    “…While He enumerated a number of signs that would warn his disciples of the approach of God’s judgment on Jerusalem – together constituting “the budding fig tree” – He emphasized, on the other hand, that there will be no signs to warn them of the approach of his parousia. …”
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  9. 349

    Leucaena leucocephala, White Leadtree by Michael G. Andreu, Melissa H. Friedman, Robert J. Northrop

    Published 2012-10-01
    “…It has also been planted as a windbreak for crops such as coffee and cocoa, and some ranchers use the tree as a source of both shade and forage for cattle, with the pods being an excellent source of protein. …”
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  10. 350

    2019–2020 Florida Citrus Production Guide: Plant Bugs, Chewing Insect Pests, Caribbean Fruit Fly, and Thrips by Xavier Martini, Lauren M. Diepenbrock

    Published 2019-08-01
    “…While these pests do not require routine treatment in all groves, periodic outbreaks can potentially have dramatic impact on tree health and/or productivity. When these insects are detected at a damaging level, treatment is required. …”
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  11. 351

    Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning by Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen

    Published 2025-01-01
    “…Subsequently, six machine learning models were constructed, including random forest, decision tree, gradient boosting decision tree, k-nearest neighbor, support vector machine, and AdaBoost algorithms. …”
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  12. 352

    Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

    Published 2025-02-01
    “…In an 80:20 train-test split, the decision tree approach outperformed the k -nearest neighbor algorithm for all four output responses, with classification accuracy ranging from 83.33% to 100%. …”
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  13. 353

    Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

    Published 2024-08-01
    “…These results are better than those of four other classification models, namely Naïve Bayes, Decision Tree, K-NN, and Random Forest. …”
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  14. 354

    Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

    Published 2023-08-01
    “…Hasil percobaan menunjukkan bahwa penerapan ensemble learning dengan algoritma klasifikasi Decision Tree (DT), K-Nearest Neighbor (KNN), dan Random Forest (RF) memiliki performa model yang lebih baik dibandingkan dengan menggunakan algoritma klasifikasi tunggal, dengan accuracy sebesar 95.2%, nilai precision 93.2%, nilai F1-score 92.4%, dan True Negative Rate (TNR) sebesar 97.6%. …”
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  15. 355

    Acer japonicum 'Vitifolium' by Edward F. Gilman

    Published 2004-10-01
    “… Full-moon maple is a small, deciduous tree that reaches 10 to 15 feet in height and width, creating a smooth, rounded canopy (Figure 1). …”
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  16. 356

    Start Now to Design Citrus Groves for Mechanical Harvesting by Bob Rouse, Steve Futch

    Published 2004-09-01
    “…It is a general consensus among industry leaders that efficiencies in harvesting offer the greatest potential to reduce costs and keep our juice industry economically viable. Other tree crops (tart and sweet cherry, pistachios, prunes, olives) that would have been lost, have moved to mechanical harvesting to survive, but a generation of change was required and thinking had to be adjusted in lines with a commodity. …”
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  17. 357

    The Pecan Truffle (Tuber lyonii): A Gourmet Truffle Native to the Southeastern United States by Arthur C. Grupe, Timothy Brenneman, Gregory Bonito, Matthew E. Smith

    Published 2016-11-01
    “…This fungus lives in a mutually beneficial relationship with the roots of some trees, including species of oak, hazelnut, and hickory trees, as well as the cultivated pecan tree. …”
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  18. 358

    Peach Brown Rot by Ali Sarkhosh, Shirin Shahkoomahally, Logan Marie Richmond-Cosie, Philip Harmon

    Published 2020-02-01
    “…Under the right conditions, the entire tree’s crop can be completely rotted. Fruit susceptibility fluctuates with the various stages of development; mature fruits are highly susceptible to disease, and fruit infection has the greatest impact on production. …”
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  19. 359

    PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

    Published 2022-11-01
    “…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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  20. 360

    PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

    Published 2022-11-01
    “…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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    Article