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  1. 3721

    Assessment of vegetation in Murchison falls national park five years after the completion of oil and gas exploration by Hindrah Akisiimire, William Tinzaara, Keneth Tumwebaze, Charles K.Twesigye

    Published 2022-02-01
    “…We counted all observed plant species following a systematic random sampling technique using a (1mx1m) quadrat for herbs, (5mx5m) quadrat for shrubs, and (10mx10m) quadrat for trees. Data was collected using a 60m line transect to record the identified plant species. …”
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  2. 3722

    Aroma Analysis of Table Grape Berries Based on Electronic Nose Detection by Shengyang Niu, Xuewei Liu, Meiling Lin, Xiucai Fan, Ying Zhang, Lei Sun, Chonghuai Liu, Jianfu Jiang

    Published 2025-01-01
    “…All of them were harvested in fruit trees over 10 years old from August to October 2023, which provided a reference for aroma evaluation and quality improvement of the table grapes. …”
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    Article
  3. 3723

    Assessment of vegetation in Murchison falls national park five years after the completion of oil and gas exploration by Hindrah Akisiimire, William Tinzaara, Keneth Tumwebaze, Charles K.Twesigye

    Published 2022-02-01
    “…We counted all observed plant species following a systematic random sampling technique using a (1mx1m) quadrat for herbs, (5mx5m) quadrat for shrubs, and (10mx10m) quadrat for trees. Data was collected using a 60m line transect to record the identified plant species. …”
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    Article
  4. 3724

    Function over form: The benefits of aspen as surrogate brood‐rearing habitat for greater sage‐grouse by Michel T. Kohl, Charles P. Sandford, Paul C. Rogers, Renee Chi, Terry A. Messmer, David K. Dahlgren

    Published 2024-12-01
    “…It is unclear, however, to what extent sage‐grouse use these aspen stands because sage‐grouse commonly avoid tall structures (e.g., trees) and their associated avian predators. Thus, we tested whether (1) sage‐grouse selected for surrogate habitat (i.e., aspen edge) and (2) selection behaviors related to surrogate habitat had demographic effects on the population. …”
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    Article
  5. 3725

    The carbon footprint of pasture-based buffalo milk production in Colombia by Andrés F. Pérez, Felipe Vélez S., Juan F. Naranjo R.

    Published 2023-11-01
    “…Emissions were categorized into those associated with animals, feces, and soils, with the corresponding sequestration or assimilation accounted in soils, forage biomass, trees, shrubs, and milk production. The simulations were conducted for 550 kg live-weight buffaloes, with a dry matter intake of 11 kg per day alongside 2 kg of balanced feed, under two milk production scenarios: 1500 liters and 3000 liters per lactation. …”
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    Article
  6. 3726

    Use of Garden Design to Enhance Mental Health Among the Selected Health Facilities in Kabale Town: A Case Study of Makanga Health Facility. by Nayebare, Maria

    Published 2024
    “…Healing gardens should provide a sense of security and safety, incorporating elements like trees, flowers, fragrant plants, and shrubs to evoke a feeling of hope and relaxation. …”
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    Thesis
  7. 3727

    Ethnobotanical survey on anti-tuberculosis plants in Mbujimayi, Democratic Republic of the Congo by Malangu Lambert Muamba, Kitambala Marsi Mbayo, Numbi Evodie Wa Ilunga, Ilunga Eddy Mbuyu, Kabeya Justin Kanda, Otete François Dikala, Ebalantshim Daniel Munakongo, Mwinensenge James Maloba, Nonga Welcome Muyumba, Kalonji Serge Mbuyi, Muya Richard Kalunga, Tsheko Manya, Kihuya Eddy Ngoy, B. J. Kanangila, Mutombo Emery Kalonda, Kankenza Léonard Kalanda, Simbi Jean-Baptiste Lumbu, Clement L. LIYONGO

    Published 2025-01-01
    “…The identified species were categorized as shrubs (37.50%), grasses (37.50%), trees (21.43%), and lianas (3.57%). These plants were reported to treat 40 conditions, including nine tuberculosis-related symptoms, with fever being the most cited symptom (quoted 80 times out of 253 mentions, 31.62%). …”
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    Article
  8. 3728

    Integrative hydrologic modelling of soil and water conservation strategies: a SWAT-based evaluation of environmental resilience in the Merguellil watershed, Tunisia by Taoufik Hermassi, Fathia Jarray, Waad Tlili, Issam Achour, Mohamed Mechergui

    Published 2025-02-01
    “…The central subbasins, marked by olive trees and strategic conservation, demonstrate substantial decreases, emphasizing successful erosion control efforts. …”
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    Article
  9. 3729
  10. 3730

    Mollusk Diversity in Percut Sei Tuan Silvofishery Ponds, North Sumatra, Indonesia by Ipanna Enggar Susetya, Mohammad Basyuni, Muhammad Rakezza Rifzy Rifzy, Rizka Amelia, Yuntha Bimantara, Rusdi Leidonald, Amanatul Fadhilah

    Published 2022-09-01
    “…Mollusk sampling was carried out on sub-plots measuring 1 x 1 m² in the mangrove vegetation transect, and mangrove density was measured by counting the number of trees directly on all of the mangrove species at two silvofishery ponds. …”
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    Article
  11. 3731

    A novel early stage drip irrigation system cost estimation model based on management and environmental variables by Masoud Pourgholam-Amiji, Khaled Ahmadaali, Abdolmajid Liaghat

    Published 2025-02-01
    “…Then, different machine learning models such as Multivariate Linear Regression, Support Vector Regression, Artificial Neural Networks, Gene Expression Programming, Genetic Algorithms, Deep Learning, and Decision Trees, were used to estimate the costs of each of the of the aforementioned sections. …”
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    Article
  12. 3732

    Ecological and forestry assessment of the compliance of the composition of forest crops designed for afforestation with the types of forest site conditions in the Steppe climate of... by Svitlana Raspopina, Anastasiia Suska, Yulia Belay, Vitalii Goroshko

    Published 2024-10-01
    “…It is advisable to limit the use of Рinus sylvestris, giving preference to Pinus pallasiana, whose sprouts, seedlings, and elder trees are more resistant to drought, insect pests and pathogens. …”
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    Article
  13. 3733

    Insights into a Renowned Fishery: Distinct Spatial Patterns, Environmental Predictors and Species Associations of Trophy-Class Spotted Seatrout (<i>Cynoscion nebulosus</i> [Cuvier... by Catherine Eckert, Elliot Briell, Ethan Getz

    Published 2025-01-01
    “…Kernel density distribution estimates, hot spot analyses, and space–time pattern mining methods were used to compare the distribution of the two size classes of trout spatially and temporally. Boosted regression trees (BRTs) were used to determine the environmental drivers of abundance, and multivariate analyses were utilized to compare the species associated with each size class. …”
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    Article
  14. 3734

    The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis... by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Refilwe Nancy Phaswana-Mafuya

    Published 2025-01-01
    “…Logistic regression, support vector machines, random forests, and decision trees will be used. A cross-validation technique will be used to divide the training sample into k-folds, including a validation set, and models will be trained on each fold. …”
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    Article
  15. 3735

    Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh by Ashikur Rahman, Md. Habibur Rahman

    Published 2025-01-01
    “…Six ML-based algorithms were implemented for predicting child mortality, such as Naïve Bayes, Classification and Regression Trees, Random Forest, C5.0 Classification, Gradient Boosting Machine, and Logistic Regression. …”
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    Article
  16. 3736

    Increasing vulnerability of an endemic Mediterranean-climate conifer to changing climate and fire regime by Frank W. Davis, Anne-Marie Parkinson, Max A. Moritz, Max A. Moritz, Isaac W. Park, Carla M. D’Antonio

    Published 2025-01-01
    “…Recently California’s MTE conifers have experienced elevated mortality, range shifts, and decreased abundance relative to broadleaf trees. Restricted-range species may be especially vulnerable to environmental change and are a high priority for climate change assessment and adaptation management. …”
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    Article
  17. 3737

    Knowledge, attitudes and behaviour towards ticks and tick-borne diseases—A survey among Lyme borreliosis cases in Bavaria in 2019 by Stefanie Böhm, Volker Fingerle, Andreas Beyerlein, Manfred Wildner, Merle M. Böhmer

    Published 2025-01-01
    “…Although mostly well informed, a significant proportion of participants did not know or were misinformed about availability of repellents (48.5 %), risk of LB in their district (24.9 %), ticks not falling from trees (22.1 %) and non-availability of vaccination against LB (20.9 %). …”
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    Article
  18. 3738

    Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients by Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, Jeanine L. Marnewick, Oluwafemi A. Sarumi, Boniface Kabaso, Thomas Moser, Karl Stroetmann, Isaac Fwemba, Fisayo Daramola, Martha Nyirenda, Susan J. van Rensburg, Peter S. Nyasulu

    Published 2025-01-01
    “…This study aimed to investigate the performance and interpretability of several ML algorithms, including deep multilayer perceptron (Deep MLP), support vector machine (SVM) and Extreme gradient boosting trees (XGBoost) for predicting COVID-19 mortality risk with an emphasis on the effect of cross-validation (CV) and principal component analysis (PCA) on the results. …”
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    Article
  19. 3739

    Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes by Yamini Bhat, Subrata Nandy, Krishna Das, Muna Tamang, Hitendra Padalia, Arun Jyoti Nath, Koushik Majumdar, Rocky Pebam, Pynkhlainbor Thongni, Bandana Kurmi, Ashesh Kumar Das, S. P.S. Kushwaha, R. P. Singh

    Published 2024-11-01
    “…Six land use and land cover classes, viz., forests and trees outside forests, rubber plantation, shifting cultivation, water bodies, agriculture, and settlements, were mapped with an accuracy of 83.08% using a random forest classifier. …”
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    Article
  20. 3740

    Critical raw material-free multi-principal alloy design for a net-zero future by Swati Singh, Mingwen Bai, Allan Matthews, Saurav Goel, Shrikrishna N. Joshi

    Published 2025-01-01
    “…Among various ML models, the Extra Trees Regressor (ETR) exhibited superior performance and was integrated with metaheuristic optimization techniques to identify novel MPEA compositions. …”
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