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  1. 2461

    In Vitro Study on the Antioxidant Potentials of the Leaves and Fruits of Nauclea latifolia by Ademola O. Ayeleso, Oluwafemi O. Oguntibeju, Nicole L. Brooks

    Published 2014-01-01
    “…This study was carried out to investigate the in vitro antioxidant potentials of the leaves and fruits of Nauclea latifolia, a straggling shrub or small tree, native to tropical Africa and Asia. Hot water extracts of the leaves and fruits of Nauclea latifolia were assessed for their total polyphenolic, flavanol, and flavonol contents as well as 1-diphenyl-2-picrylhydrazyl (DPPH) scavenging ability, ferric reducing antioxidant power (FRAP), Trolox equivalence antioxidant capacity (TEAC), and oxygen radical absorbance capacity (ORAC) assays. …”
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  2. 2462

    Patient Preference for Once-Weekly Dosing in Type 2 Diabetes Mellitus in Japan by Rohini Sen, Alan L. Shields, Koichiro Atsuda

    Published 2016-03-01
    “…Preliminary logistic regressions and classification and regression tree analysis (QW/QD dosing preferences as the dependent variable) were conducted to identify key predictors of dosing preference, followed by an evaluation of frequencies and trends in dosing preferences by the identified factors (subgroups). …”
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  3. 2463

    Physiochemical and Phytochemical Properties of Wax Apple (Syzygium samarangense [Blume] Merrill & L. M. Perry var. Jambu Madu) as Affected by Growth Regulator Application by Mohammad Moneruzzaman Khandaker, Amru Nasrulhaq Boyce, Normaniza Osman, ABM Sharif Hossain

    Published 2012-01-01
    “…This study represents the first paper of the effects of growth regulators on the physiochemical and phytochemical properties of the wax apple fruit, a widely cultivated fruit tree in southeast Asia. Net photosynthesis, sucrose phosphate synthase (SPS) activity, peel color, fruit firmness, juice content, pH value, total soluble solids (TSSs), and the sugar acid ratio were all significantly increased in growth regulators (PGRs) treated fruits. …”
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  4. 2464

    Comparison of Wood Veneer-Based Composite Characteristics Made of Jabon Wood (Neolamarckia cadamba) and Sengon Wood (Falcataria moluccana) by Eka Mulya Alamsyah, Ahmad Fawwaz Abdullah, Rafael Niko Navarro, Yoyo Suhaya, Sutrisno Sutrisno, Asep Suheri, Yooce Yustiana, Jamaludin Malik, Sasa Sofyan Munawar

    Published 2025-01-01
    “…One type of plant grown in community forests is the jabon tree (Neolamarckia cadamba). This study will investigate whether jabon wood can be utilized as raw material for wood composite, such as laminated veneer lumber (LVL), laminated veneer board (LVB), and plywood, from the aspect of physical and mechanical characteristics, such as moisture content, density, bending strength, hardness, delamination, and formaldehyde emission. …”
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  5. 2465

    Mining versatile feruloyl esterases: phylogenetic classification, structural features, and deep learning model by Liang Guo, Yuxin Dong, Deyong Zhang, Xinrong Pan, Xinjie Jin, Xinyu Yan, Yin Lu

    Published 2025-01-01
    “…Subsequent phylogenetic analysis of these clusters unveiled a correlation between phylogenetic classification and substrate promiscuity, and enzymes with broad substrate scope tended to locate within specific branches of the phylogenetic tree. Further, molecular dynamics simulations and dynamical cross-correlation matrix analysis were employed to explore structural dynamics differences between promiscuous and substrate-specific FEs. …”
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  6. 2466

    Fortifying IoT Infrastructure Using Machine Learning for DDoS Attack within Distributed Computing-based Routing in Networks by Sharaf Aldeen Abdulkadhum Abbas, Abdullahi Abdu Ibrahim

    Published 2024-06-01
    “…This research aims to compare the key machine learning approaches, Namely Support Vector Machines (SVM), Random Forest (RF) and Decision Trees (DT), in their ability to classify Intrusion Detection Systems (IDS) via routing networks over distributed computing systems. …”
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  7. 2467

    Tomographic Aspects of Advanced Active Pulmonary Tuberculosis and Evaluation of Sequelae following Treatment by Rafael Barcelos Capone, Domenico Capone, Thiago Mafort, Roberto Mogami, Rosana de Souza Rodrigues, Miriam Menna Barreto, Rogerio Rufino

    Published 2017-01-01
    “…Main findings in CT1 included nodules indicating the presence of a tree-in-bud pattern in 93% of cases, ill-defined nodules in 84% of cases, consolidation in 77% of cases, architectural distortion in 71% of cases, cavitary lesions in 62% of cases, and ground glass opacities in 37% of cases. …”
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  8. 2468

    Alternative disease management strategies for organic apple production in the United Kingdom by Lucas Alexander Shuttleworth

    Published 2021-09-01
    “…Abstract Apple is a globally important tree fruit. In the United Kingdom (UK) and mainland Europe, there is ongoing consumer and environmental concern regarding over-reliance on conventional chemicals for disease control. …”
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  9. 2469

    Molecular Identification, Histopathology and Antibiotic Susceptibility Profiling of Aeromonas veronii Isolated from Oreochromis niloticus in Bangladesh by Sayed Mashequl Bari, Mohammad Muttakinul Islam, Aktia Amina, Marufa Khatun, A. M. Shahabuddin

    Published 2024-11-01
    “…MT071624) in the NCBI BLAST search, and in the phylogenetic tree, they grouped in a single clade. This close genetic relationship is also supported by the low genetic distance between the isolates. …”
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  10. 2470

    Cost-comparison analysis of diffusion weighted magnetic resonance imaging (DWMRI) versus second look surgery for the detection of residual and recurrent cholesteatoma by David L. Choi, Michael K. Gupta, Ryan Rebello, Jason D. Archibald

    Published 2019-11-01
    “…Methods A probabilistic decision tree model was generated from a literature review to compare traditional second look surgery with DWMRI. …”
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  11. 2471

    Estimating soil profile salinity under vegetation cover based on UAV multi-source remote sensing by Zhenhai Luo, Meihua Deng, Min Tang, Rui Liu, Shaoyuan Feng, Chao Zhang, Zhen Zheng

    Published 2025-01-01
    “…Three types of feature variables were derived from the images and filtered using the boosting decision tree (BDT) method. In addition, four machine learning algorithms coupled with seven variable combination groups were applied to establish comprehensively soil salinity estimation models. …”
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  12. 2472

    Chloroplast Genome Sequencing and Comparative Analysis of Six Medicinal Plants of Polygonatum by Jinchen Yao, Zhaohuan Zheng, Tao Xu, Duomei Wang, Jingzhe Pu, Yazhong Zhang, Liangping Zha

    Published 2025-01-01
    “…Notably, P. sibiricum emerged as a standalone clade, and our phylogenetic tree reinforces the classification of P. sibiricum as forming a monophyly. …”
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  13. 2473

    Maximum value of the spin-independent cross section in the 2HDM+a by Tomohiro Abe, Motoko Fujiwara, Junji Hisano, Yutaro Shoji

    Published 2020-01-01
    “…Also, σSI is suppressed by the momentum transfer at the tree level, and loop diagrams give the leading contribution to it. …”
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  14. 2474

    Prenatal Diagnosis and Postnatal Findings of Bronchogenic Cyst by Livia Teresa Moreira Rios, Edward Araujo Júnior, Luciano Marcondes Machado Nardozza, Antonio Fernandes Moron, Marília da Glória Martins

    Published 2013-01-01
    “…Bronchogenic cysts arise from abnormal buds from the primitive esophagus and tracheobronchial tree, which do not extend to the site where alveolar differentiation occurs. …”
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  15. 2475

    Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting by Rokeya Sarah, Kory Schimmelpfennig, Riley Rohauer, Christopher L. Lewis, Shah M. Limon, Ahasan Habib

    Published 2025-01-01
    “…To address this gap, our research presents predictive models using machine learning (ML) algorithms, including polynomial fit (PF), decision tree (DT), and random forest (RF), to estimate bioink viscosity based on component weights and shear rate. …”
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  16. 2476

    A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

    Published 2025-01-01
    “…The experimental results demonstrate that the DFD ensemble learning-based software defect prediction model outperforms the ten other models, including five common machine learning (ML) classification algorithms (logistic regression (LR), naïve Bayes (NB), K-nearest neighbor (KNN), decision tree (DT), and support vector machine (SVM)), two deep learning (DL) algorithms (multi-layer perceptron (MLP) and convolutional neural network (CNN)), and three ensemble learning algorithms (random forest (RF), extreme gradient boosting (XGB), and stacking). …”
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  17. 2477

    Outplanting Performance of the Bornean Tropical Indigenous Species Shorea macrophylla (de Vriese) P. S. Ashton in relation to Seedling Age by Mugunthan Perumal, Mohd Effendi Wasli, Soo Ying Ho

    Published 2021-01-01
    “…Considering that most tree species from the Dipterocarpaceae family are on the IUCN Red List of Threatened Species, proper conservation of such species is necessary. …”
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  18. 2478

    Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms by Reem A. Alzahrani, Malak Aljabri, Rami A. Mustafa Mohammad

    Published 2025-01-01
    “…The study underscores the prowess of tree-based methods and advanced algorithms in detecting click fraud, as evidenced by high accuracy, precision, and recall scores. …”
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  19. 2479

    Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, Brasil by Islânia dos Santos Nunes, Alfredo Marcelo Grigio, Marco Antônio Diodato

    Published 2024-10-01
    “…Regarding use and occupation, it was highlighted that in the micro-region the main types of use concern forest formation (savanna formation), composed of tree-shrub plant formation of deciduous forest followed by agriculture, mainly formed by temporary crops…”
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  20. 2480

    Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models by Peng Guan, Guangzhao Ou, Feng Liang, Weibang Luo, Qingyong Wang, Chengyuan Pei, Xuan Che

    Published 2025-01-01
    “…To achieve precise prediction of tunnel squeezing, this study constructed six reliable machine learning (ML) classification models for this purpose, including Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and K-Nearest Neighbors (KNN). …”
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