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  1. 2321

    The Shared and Specific Genes and a Comparative Genomics Analysis within Three Hanseniaspora Strains by Kai Chen, Zhonghuan Tian, Fatang Jiang, Yunjiang Cheng, Chao-an Long

    Published 2019-01-01
    “…The shared and specific genes of K. apiculata, H. uvarum, and H. vineae were analysed by family using the TreeFam methodology. GO analysis was used to classify the shared and specific genes. …”
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    Article
  2. 2322

    What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

    Published 2022-06-01
    “…This study comprehensively assessed ten widely used data techniques, namely AdaBoost, Bayesian ridge, gradient tree boosting, K-nearest neighbors, Lasso, multivariable linear regression, neural network, random forest, ridge regression, and support vector machine. …”
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  3. 2323

    What Is Affecting the Residents’ Subjective Perception toward Objective Environment Quality? by Jihong Zhang, Chaopeng Xie, Chuan Chen, Ninghan Xu, Rui Gao

    Published 2021-01-01
    “…Secondly, the key individual characteristics were identified by the model based on conditional inference tree. Finally, the regional heterogeneity was analyzed by nonmetric multidimensional scaling. …”
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  4. 2324

    A Framework to Assess the Seismic Resilience of Urban Hospitals by Peng Yu, Weiping Wen, Duofa Ji, Changhai Zhai, Lili Xie

    Published 2019-01-01
    “…This study proposes a framework to assess the seismic resilience of urban hospitals, by incorporating the fault tree analysis (FTA) to consider the interdependency between the damage of nonstructural components and the functionality of medical equipment, as well as the effect of external supplies on the functionality of hospital. …”
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    Article
  5. 2325

    A systematic mapping study of source code representation for deep learning in software engineering by Hazem Peter Samoaa, Firas Bayram, Pasquale Salza, Philipp Leitner

    Published 2022-08-01
    “…Source code can be represented via different approaches, most importantly, the tree‐based, token‐based, and graph‐based approaches. …”
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    Article
  6. 2326

    Invasion dynamics of Acer negundo L. in ribbon forests of the Altai Krai: ecological impacts and predictive habitat modeling by Natalia V. Ovcharova, Marina M. Silantyeva, Alexey V. Vaganov, Anastasia A. Masanina

    Published 2024-12-01
    “…Through geobotanical surveys and forest management record analysis, we reveal the species' prevalence in diverse forest types and its effects on biodiversity, tree growth, and community dynamics. Key findings indicate that A. negundo flourishes in disturbed habitats, where it aggressively competes with native flora, suppressing their growth and altering successional pathways. …”
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  7. 2327

    PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

    Published 2025-01-01
    “…Our boosting model employs a Decision Tree (DT) classifier with AdaBoost, followed by a linear discriminant analysis (LDA) optimizer, achieving an impressive accuracy of 99.44%, outperforming other boosting models.…”
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  8. 2328

    Plastic Bronchitis in Children: A Review of 55 Cases over a 10-Year Period by Xiaowen Chen, Shangzhi Wu, Zhanhang Huang, Yuneng Lin, Jiaxing Xu, Qingyun Xu, Dehui Chen

    Published 2024-01-01
    “…All patients who were diagnosed with PB by bronchoscopic removal of tree-like casts at a single institution from January 2012 to May 2022 were retrospectively reviewed. …”
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  9. 2329

    Microscopic and molecular detection of Cytauxzoon spp. in cats in Mosul city, Iraq by Sura S. Aghwan, Enas S. Hussein, Salam A Esmaeel

    Published 2025-01-01
    “…One novel isolate was discovered: the Cytauxzoon felis Sesa gene LC775709.1 for 18S rRNA. The phylogenetic tree was constructed, and it was discovered that the local sequence LC775709.1 is very closely related genetically to the sequences from Europe and the USA while showing some genetic differences with the sequences from Brazil and South Africa.…”
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  10. 2330

    An Ensemble Learning Based Framework for Traditional Chinese Medicine Data Analysis with ICD-10 Labels by Gang Zhang, Yonghui Huang, Ling Zhong, Shanxing Ou, Yi Zhang, Ziping Li

    Published 2015-01-01
    “…A set of base learners composed of decision tree (DT) and support vector machine (SVM) are trained by bootstrapping the training dataset. …”
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  11. 2331

    Therapeutic Mechanism and Effect of Camptothecin on Dextran Sodium Sulfate-Induced Ulcerative Colitis in Mice by Yizhuo Wang, Kunjian Liu, Zhiyong Qi, Tong Chen, Wei Yu, Yang Jiang, Guofeng Li, Huijie Xiao

    Published 2021-01-01
    “…Camptothecin (CPT) is a cytotoxic quinoline alkaloid isolated from the bark and branches of the Chinese tree Camptotheca acuminata. CPT inhibits topoisomerase I. …”
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  12. 2332

    Applying deep learning model to aerial image for landslide anomaly detection through optimizing process by Chwen-Huan Wang, Li Fang, Chiung-Yun Hu

    Published 2025-12-01
    “…Among the models, Train 2, which incorporated a 50% tree ratio and an average optimized threshold of 0.0124 (Closest method), achieved the highest AUC-ROC (∼0.98). …”
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  13. 2333

    From boundary data to bound states by Gregor Kälin, Rafael A. Porto

    Published 2020-01-01
    “…We also provide closed-form expressions for the orbital frequency and periastron advance at tree-level and one-loop order, respectively, which capture a series of exact terms in the Post-Newtonian expansion. …”
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  14. 2334

    Nondestructive Testing on Ancient Wooden Components Based on Shapley Value by Li-hong Chang, Xiao-hong Chang, Hao Chang, Wei Qian, Li-ting Cheng, Xiao-li Han

    Published 2019-01-01
    “…Internal defects data for major wooden components of an ancient building in China and reverse laboratory test data on matching tree species indicated various degrees of damage on the pavilion wood structure surface and internal defects in certain pillars. …”
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  15. 2335

    Developing an Intelligent System for Efficient Botnet Detection in IoT Environment by Ramesh Singh Rawat, Manoj Diwakar, Umang Garg, Prakash Srivastava

    Published 2025-04-01
    “…This paper focused on analyzing botnet traffic in an IoT environment using machine learning and deep learning classifiers: Decision tree classifier, Naïve Bayes, K nearest neighbor, Convolution neural network, Recurrent neural network, and Random Forest. …”
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  16. 2336

    Floristic status of the Himalayan foothills in Haryana – vegetation composition, diversity and population structure by Dhiman Himanshi, Saharan Harikesh, Punia Harish, Jakhar Somveer

    Published 2024-12-01
    “…The study showed that AR_2 (118 plant species: 31 trees, 17 shrubs, 58 herbs, and 12 climbers) had a higher number of plant species in comparison to AR_1 (106 plant species: 26 trees, 14 shrubs, 54 herbs, and 12 climbers) with Poaceae being the family with the greatest number of species. …”
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  17. 2337

    Phenotypic Variation in Fruit Morphology among Provenances of Sclerocarya birrea (A. Rich.) Hochst. by Idah Mkwezalamba, Chimuleke R. Y. Munthali, Edward Missanjo

    Published 2015-01-01
    “…Hochst. is a multipurpose fruit tree which is very useful in providing food security and meeting nutritional and economic needs. …”
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  18. 2338

    Environment of European Last Mammoths: Reconstructing the Landcover of the Eastern Baltic Area at the Pleistocene/Holocene Transition by Ivan Krivokorin, Anneli Poska, Jüri Vassiljev, Siim Veski, Leeli Amon

    Published 2025-01-01
    “…The abrupt disappearance of typical forb-dominated tundra indicators, such as <i>Dryas octopetala</i>, and the fast increase in tree birch marked a shift from an open, tundra-like landscape to a forested one, making the environment inhospitable for mammoths even in northernmost Estonia by the beginning of the Holocene. …”
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  19. 2339

    Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

    Published 2025-01-01
    “…At each selected location, three machine learning models named Random Forest Regressor (RFR), Support Vector Regressor (SVR), and Decision Tree Regressor (DTR), are evaluated for local Evapotranspiration (ET) estimation and the federated global model. …”
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  20. 2340