Evaluating the migration of boundary river shorelines and coastal land cover changes for the Beilun River between China and Vietnam by Xie Shuangmi, Zhang Wenzhu, Wu Bin, Lu Shengquan, Gu Guanhai, Liu Yanhua

“…The Beilun River floodplain comprises more than 70 % cultivated land and forest land. Analysis of dynamic degree and transfer matrices shows a contraction of cultivated land, forest land, and water bodies, with a significant increase in construction land and other types of land, reflecting a conversion between cultivated and forest land and the encroachment of construction land on cultivated land. …”
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PENGEMBANGAN MODUL IDENTIFIKASI INSEKTA DI BKPH KEDUNGGALAR KECAMATAN PITU NGAWI PADA MATA KULIAH TAKSONOMI HEWAN INVERTEBRATA by Nur Aini Kusumaningrum

“…Invertebrate taxonomy module that is not based on contextual research. Ngawi Pitu forest can be used as a location for research, because of the diversity of existing invertebrates. …”
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Villa et ateliers sidérurgiques à l’est de la forêt de Sillé-le-Guillaume (Sarthe) : un exemple de production domaniale du fer durant l’époque romaine ? by Florian Sarreste

“…The eastern part of the forest of Sillé-le-Guillaume, located about 35 km northwest of Le Mans (Sarthe), is the subject of archaeological researches since 2004. …”
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Evaluación del Daño y Restauración de los Árboles Después de un Huracán by Edward F. Gilman, Mary L. Duryea, Eliana Kampf, Traci Jo Partin, Astrid Delgado, Carol J. Lehtola

“…Duryea, Eliana Kampf, Traci Jo Partin, Astrid Delgado, and Carol Lehtola is the Spanish language version of ENH-1036, "Assessing Damage and Restoring Trees after a Hurricane", funded by the Florida Division of Forestry and the USDA Forest Service, Southern Region as part of the Urban Forest Hurricane Recovery Program. …”
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Assessing Damage and Restoring Trees After a Hurricane by Edward F. Gilman, Mary L. Duryea, Eliana Kampf, Traci Jo Partin, Astrid Delgado, Carol J. Lehtola

“…Duryea, Eliana Kampf, Traci Jo Partin, Astrid Delgado, and Carol Lehtola was funded by the Florida Division of Forestry and the USDA Forest Service, Southern Region as part of the Urban Forest Hurricane Recovery Program. …”
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Assessing Damage and Restoring Trees After a Hurricane by Edward F. Gilman, Mary L. Duryea, Eliana Kampf, Traci Jo Partin, Astrid Delgado, Carol J. Lehtola

“…Duryea, Eliana Kampf, Traci Jo Partin, Astrid Delgado, and Carol Lehtola was funded by the Florida Division of Forestry and the USDA Forest Service, Southern Region as part of the Urban Forest Hurricane Recovery Program. …”
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Guider pour protéger : les sols forestiers dunaires témoins de l’histoire urbaine récente du paysage littoral by Monique Toublanc, Nathalie Carcaud, Véronique Beaujouan, Patrick Moquay, Laurence Robert

“…The topsoil was shaped by the fixation of the sand dune by means of palisades and forest planting in the 19th century intended to protect the houses. …”
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Evaluación del Daño y Restauración de los Árboles Después de un Huracán by Edward F. Gilman, Mary L. Duryea, Eliana Kampf, Traci Jo Partin, Astrid Delgado, Carol J. Lehtola

“…Duryea, Eliana Kampf, Traci Jo Partin, Astrid Delgado, and Carol Lehtola is the Spanish language version of ENH-1036, "Assessing Damage and Restoring Trees after a Hurricane", funded by the Florida Division of Forestry and the USDA Forest Service, Southern Region as part of the Urban Forest Hurricane Recovery Program. …”
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A Study of the Flow Field Surrounding Interacting Line Fires by Trevor Maynard, Marko Princevac, David R. Weise

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Button-Bush Insects by James G. Needham

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Hemipterological Notes by Roland F. Hussey

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Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

“…Results showed that the Random Forest model, after hyperparameter tuning, had the best performance with an F1 score of 0.765. …”
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Quantifying preferential flow occurrence in dependence of land cover on the southern slopes of Mount Kilimanjaro, Tanzania by Frank Paul Shagega, Fabia Codalli, Suzanne Jacobs, Subira Eva Munishi, David Windhorst, Lutz Breuer

“…New hydrological insights for the region: The results showed that the frequency of occurrence of preferential flow events were notably high in Erica forest (81.6 %), montane forest (26.4 %), and Ocotea forest (30.1 %), highlighting rapid subsurface water movement and potential for groundwater recharge. …”
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Distributional Notes on Hemiptera, With the Description of a New Gerris by Roland F. Hussey

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History and Status of Eucalyptus Improvement in Florida by Donald L. Rockwood

“…The first organized Eucalyptus research in Florida was begun by the Florida Forests Foundation in 1959 in southern Florida. This research was absorbed by the USDA Forest Service and the Florida Division of Forestry in 1968. …”
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CAMELLIA THUANANA (CAMELLIA SECT. CHRYSANTHA) – A NEW SPECIES FROM THE CENTRAL HIGHLANDS, VIETNAM by Thanh Truong Hoang, Hong En Le, Thi Lieu Nguyen

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Multiple Machine Learning Algorithms-based NBA Team Playoffs Prediction by Yeung Manho

“…Among the models, Random Forest outperformed the others, achieving the highest ROC-AUC score of 0.841. …”
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Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…Random Forest Classifier investigated the diabetes estimate. …”
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Deep soil contributions to global nitrogen budgets by Maya Almaraz, Chao Wang, Michelle Y. Wong

“…Here, we used observations from 280 deep soil profiles (2-205 m) across a wide array of ecosystem and land cover types to seek insight into the full geospatial variation of deep soil nitrate. Using a random forest machine learning approach we estimate a total deep soil nitrate pool of 15.2 ( ± 1.1 SD) Pg of N. …”
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The Application of New Educational Concepts in Digital Educational Media by Chun Yang

“…It is found that there are multilayer linear regression < mild gradient advance < extreme gradient advance < random forest in each indicator. In addition, in the two integration models, bagging idea represented by the random forest is more suitable for this group than two gradient boosting.…”
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