Grazing-Induced Habitat Degradation: Challenges to Giant Panda Survival Resulting from Declining Bamboo and Soil Quality by Huawei Tian, Ying Zeng, Zejun Zhang, Ming Lu, Wei Wei

“…Grazing has forced pandas to move to higher altitudes (2650–3057 m) with taller (12–20 m) trees, denser (28–55 plants) shrubs, and sparser (30–69%) bamboo. …”
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eNSMBL-PASD: Spearheading early autism spectrum disorder detection through advanced genomic computational frameworks utilizing ensemble learning models by Ayesha Karim, Nashwan Alromema, Sharaf J Malebary, Faisal Binzagr, Amir Ahmed, Yaser Daanial Khan

“…Several ensemble classification methods, including Extreme Gradient Boosting, Random Forest, Light Gradient Boosting Machine, ExtraTrees, and a stacked ensemble of classifiers, were applied to assess the predictive power of the genomic features. …”
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Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds by Jing Huang, Xuenan Zhang, Hang Yang, Zhenbiao Li, Zhengfang Xue, Qingqing Wang, Xinyuan Zhang, Shenghua Ding, Zisheng Luo, Yanqun Xu

“…Five ML models were developed, including partial least squares discriminant analysis (PLS-DA), decision trees, support vector machines (SVM), Xgboost and neural networks (NN). …”
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A New Diagnosing Method for Psoriasis From Exhaled Breath by Bilge Han Tozlu, Omer Faruk Akmese, Cemaleddin Simsek, Engin Senel

“…The best classification result was provided by the ExtraTreesClassifier algorithm, with an accuracy rate of 96.1%, while other algorithms have rates between 66.6% and 94.2%. …”
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விவேக சிந்தாமணி கூறும் மானுட விழுமியங்கள் / Human Values in Viveka Cintamani by முனைவர் சு. சுசா / Dr. S. Susa

“…Additionally, they observed chastity from pigeons, which have one mate for life, and learned unity, food sharing, and communal mourning after death from crows. From trees, bushes, and vines, they learned the virtue of selflessness in supporting other creatures. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…This tool leverages the strengths of multiple regression-based and probabilistic machine learning methods, including LASSO (see the list of abbreviations in Appendix B), support vector machine, classification and regression trees, random forest, extreme gradient boosting, Gaussian process regression, and Bayesian ridge regression. …”
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The Flowering Characters Variation Among Floral Variants and Landraces Along Geographical Gradients in Gunung Sewu by Yeni Widyana Nurcahyani Cahyaningrum, Sapto Indrioko, Eny Faridah, Atus Syahbudin

“…Petir, with biggest population size, produced the most abundant flowers and flowering trees at all variants. Sandalwood flowered twice a year in all of land-races and variants, however, the onset and duration varied. …”
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Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…The algorithms include Support Vector Machines (SVM), Random Forests (RF), Decision Trees, K-Nearest Neighbors (KNN) and Convolutional Neural Networks (CNN). …”
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Overestimating Impacts of Urbanization on Regional Temperatures in Developing Megacity: Beijing as an Example by Wei Cao, Lin Huang, Lulu Liu, Jun Zhai, Dan Wu

“…In addition, planting trees or grass along roadsides and increasing green parks and green roofs can also suppress surface warming. …”
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Evaluation of Prediction Models for the Capping and Breaking Force of Tablets Using Machine Learning Tools in Wet Granulation Commercial-Scale Pharmaceutical Manufacturing by Sun Ho Kim, Su Hyeon Han, Dong-Wan Seo, Myung Joo Kang

“…Capping occurrence was accurately predicted by all models, with the Boosted Trees model achieving a 97.80% accuracy. Feature importance analysis revealed that the compression force and magnesium stearate fraction were the most influential parameters in CQA prediction and are input variables that could be used in CQA prediction. …”
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Evolving prognostic paradigms in lung adenocarcinoma with brain metastases: a web-based predictive model enhanced by machine learning by Min Liang, Zhiwen Zhang, Langming Wu, Mafeng Chen, Shifan Tan, Jian Huang

“…Predictive models were built using Random Forest, XGBoost, Decision Trees, and Artificial Neural Networks, with their performance evaluated via metrics including the area under the receiver operating characteristic curve (AUC), calibration plots, brier score, and decision curve analysis (DCA). …”
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Role and knowledge of nurses in the management of non-communicable diseases in Africa: A scoping review. by Jean Toniolo, Edgard Brice Ngoungou, Pierre-Marie Preux, Pascale Beloni

“…Facilitating factors included comprehensive training, close supervision by physicians, utilization of decision trees, and mentorship. However, several barriers were identified, such as a shortage of nurses, lack of essential materials, and inadequate initial training.…”
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Molecular Characterization and Antibacterial Potential of Endophytic Fungal Isolates from Selected Mangroves along the Coastline of Kenya by Teresia Nyambura Wacira, Huxley Mae Makonde, Carren Moraa Bosire, Cromwell Mwiti Kibiti

“…The isolates in the inferred phylogenetic trees were affiliated with the genus Aspergillus. …”
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STATUS EKOSISTEM PESISIR BAGI PERENCANAAN TATA RUANG WILAYAH PESISIR DI KAWASAN TELUK AMBON by YULIA Asyiawati, FREDINAN YULIANDA, ROKHMIN DAHURI, SANTUN R.P. SITORUS, SETYO BUDI SUSILO

“…The results showed that the condition of ecosystem status damaged in 2008, whereby, the status of mangrove ecosystems is moderate with a density of 1100 trees/ha, the status of seagrass ecosystems damaged by percentage cover of 38,76%, and the status of coral reef ecosystems are damaged by the percentage of live coral is 42,27%. …”
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Relationships between the allozyme and phenotypic diversities of Picea ajanensis populations by V. P. Vetrova, A. K. Ekart, A. N. Kravchenko, A. Ya. Larionova

“…Pairwise comparison of samples of cones from 170 trees from six populations revealed 12 morphotypes differing in the shape of cone scales. …”
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Economic Analysis of Sequestering Carbon in Green Ash Forests in the Lower Mississippi River Valley by Ching-Hsun Huang, Gary D. Kronrad, Shiaolin D. Cheng

“…The cost of storing carbon can be reduced significantly if the trees can be sold for wood products.…”
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Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China by Xiaohua Guo, Chang Liu, Shibo Bi, Yuling Tang

“…Key recommendations include integrating the green visibility equity evaluation framework into urban planning to guide fair green space allocation, prioritizing greenery in low-income neighborhoods, and reducing hardscapes to support the planting and maintenance of tall canopy trees. These measures aim to enhance accessible and visible green resources and promote equitable access across communities.…”
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Physical and Cup Quality Attributes of Arabica Coffee (Coffea arabica L.) Varieties Grown in Highlands of Amhara Region, Northwestern Ethiopia by Melese Wale Mengistu, Melkamu Alemayehu Workie, Abrar Sualeh Mohammed

“…For this purpose, coffee bean samples of the varieties Merdacheriko, Yachi, Wush Wush, Buno wash, 741, 7440, Ababuna, and Ageze were collected from trees which were grown in Adet and Woramit Agricultural Research Centers in RCBD with three replications. …”
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Never lose sight of enemies: giant honeybees perceive troublemakers even in mass flight mode—a case study by Gerald Kastberger, Martin Ebner, Thomas Hötzl

“…This evolutionarily ancient species builds its nests on trees, cliffs, or man-made structures. A colony periodically transitions from a semi-quiescent state to MFA mode, typically up to four times a day for 5–10 min. …”
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Specific nature of the integrative (complex) effect of environmental factors on hazelnut cultivars in the Russian humid subtropics by T. D. Besedina, A. P. Boyko, Ts. V. Tutberidze, N. S. Kiseleva

“…Flowering (I–III) under unpredictable conditions is regarded as a “critical” stage in the ontogenesis of hazel trees. No less critical is the fruiting phase, occurring simultaneously with the setting and differentiation of generative organs for the next year’s yield. …”
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