Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

“…Hasil percobaan menunjukkan bahwa penerapan ensemble learning dengan algoritma klasifikasi Decision Tree (DT), K-Nearest Neighbor (KNN), dan Random Forest (RF) memiliki performa model yang lebih baik dibandingkan dengan menggunakan algoritma klasifikasi tunggal, dengan accuracy sebesar 95.2%, nilai precision 93.2%, nilai F1-score 92.4%, dan True Negative Rate (TNR) sebesar 97.6%. …”
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Spatiotemporal variation and influencing factors of phosphorus in Asia’s longest river based on receptor model and machine learning by Gege Cai, Jiamei Zhang, Wanlu Li, Jiejun Zhang, Yun Liu, Shanshan Xi, Guolian Li, Haibin Li, Xing Chen, Fanhao Song, Fazhi Xie

“…Machine learning models (e.g., RidgeCV, Random Forest, XGBoost) were used to establish a connection between total phosphorus concentrations and explanatory variables defining influencing factors, aiming to predict total phosphorus concentrations in the Yangtze River. …”
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Competing sexual-asexual generic names in Agaricomycotina (Basidiomycota) with recommendations for use by Joost A. Stalpers, Scott A. Redhead, Tom W. May, Amy Y. Rossman, Jo Anne Crouch, Marc A. Cubeta, Yu-Cheng Dai, Roland Kirschner, Gitta Jutta Langer, Karl-Henrik Larsson, Jonathan Mack, Lorelei L. Norvell, Franz Oberwinkler, Viktor Papp, Peter Roberts, Mario Rajchenberg, Keith A. Seifert, R. Greg Thorn

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Short- and Mid-term Radiographic Outcomes of Ream-then-broaching Metaphyseal Cones During Revision Total Knee Arthroplasty by Aria Darbandi, MD, Andrew Schaver, MD, Micah MacAskill, MD, Rex Lutz, DO, Amira Scaramella, BS, Christian Sangio, BS, John Shields, MD, Alvin Ong, MD, Matthew Bullock, DO MPT

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Soil microbial community and influencing factors of different vegetation restoration types in a typical agricultural pastoral ecotone by Pei Huang, Pei Huang, Pei Huang, Hanyu Shi, Hanyu Shi, Lina Jiang, Duoping Zhu, Duoping Zhu, Zefeng Zhou, Zhenhong Hou, Xingyu Ma, Xingyu Ma

“…Compared to natural grassland, soil microbial networks became more complex in plantation forests restoration types (P. sylvestris var. mongholica, L. principis- rupprechtii, P. tomentosa, and U. pumila). …”
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Differences in pyrolysis behavior and volatiles of tar-rich coal with various origins by Qingmin Shi, Xinyue Zhao, Shuangming Wang, Hongchao Zhao, Ruijun Ji, Chunhao Li, Bingyang Kou, Jun Zhao

“…For low-temperature pyrolysis experiments, three coal-forming environments were selected: limno-telmatic (Sample S-1), wet forest swamp (Sample O-1), and dry forest swamp (Sample O-2). …”
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Influence of Natural, Climatic, and Industrial Factors on Air and Water Quality in The Kemerovo Region (Kuzbass, Russia) by Maria Osintseva, Ivan Ishutin

“…Soils in open areas (meadows, hayfields) occupy a small area and have high economic and ecological value. Most of the forest is not affected by economic activities. The exception is disturbances in the territories affected by logging and mining enterprises, which especially affect the air and water quality in the region. …”
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Addressing Misconceptions about Wildland-Urban Interface Issues by Martha C. Monroe

“…This document is FOR 108, one of a series of the School of Forest Resources and Conservation Department, UF/IFAS Extension. …”
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Geosmithia Species in Florida: Common Fungal Symbionts of Wood-Boring Bark Beetles by Yin-Tse Huang, Jiri Hulcr

“…This 4-page fact sheet written by Yin-Tse Huang and Jiri Hulcr and published by the UF/IFAS School of Forest Resources and Conservation provides basic guidelines to sample Geosmithia species in the field and information for distinguishing the plant pathogenic Geosmithia morbida from other Geosmithia species. …”
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Teach Aquaculture Curriculum: What Makes a Good Fish Food? by Craig S. Kasper, Cortney L. Ohs, Brian E. Myers, Frank A. Chapman, Amber L. Garr, R. Leroy Creswell, Carlos V. Martinez, Elisa J. Livengood

“…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, July 2010. …”
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FRAGSTATS: A Free Tool for Quantifying and Evaluating Spatial Patterns by Benxin Chen, Basil V. Iannone III

“…Iannone III and published by the UF/IFAS School of Forest Resources and Conservation introduces one such resource, a free software called FRAGSTATS. …”
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Reconstituer les évolutions des espaces forestiers de l'Avesnois aux XIVe – XVIIIe siècles. Approches méthodologiques by Francesco Beretta, Claire-Charlotte Butez, Adrien Carpentier, Marie Delcourte

“…Understanding the evolution of a forest area requires taking both time and space into account. …”
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Molluscan Shellfish Aquaculture and Production by Huiping Yang, Leslie N. Sturmer, Shirley Baker

“…Sturmer, and Shirley Baker, and published by the UF School of Forest, Fisheries, and Geomatics Sciences, January 2016. …”
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Selective Extraction of Entangled Textures via Adaptive PDE Transform by Yang Wang, Guo-Wei Wei, Siyang Yang

“…Successful separations of human face, clothes, background, natural landscape, text, forest, camouflaged sniper and neuron skeletons have validated the proposed method.…”
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Teach Aquaculture Curriculum: Fish-Eating Contest by Amber L. Garr, Cortney L. Ohs, Brian E. Myers, Craig S. Kasper, R. Leroy Creswell, Frank A. Chapman, Carlos V. Martinez, Elisa J. Livengood

“…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, May 2010. …”
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Opening the Door to Nature: Accounting for People’s Constraints to Nature-based Recreation by Margaret E. Gullion, Taylor Stein

“… Although millions of people recreate in parks, forests, and other conservation areas in the United States every year, research shows that some are left out; not everyone takes advantage of natural areas for the numerous benefits nature-based recreation provides. …”
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Ecogeographical Amplitude and Habitat of Two Species of the Genus- <i>Terminalia</i> (Combretaceae) In the Central Niger Delta Areas in Rivers State by NL Edwin-Wosu, T Omara-Achong, BL Nyannanyo

“…Terminalia ivorensis does occur wildly and in abundant in the forest than T. catappa, which is frequently cultivated around homes and residential areas, though occurred more in fresh water ecozone. …”
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Entendre les mouches voler by Sarah Benabou, David Picherit

“…Based on an experimental interdisciplinary project bringing together anthropologists, ecologists, sound artists and museologists, it examines the ways in which attention to sound makes it possible to understand the complex dynamics of the Valparai plateau (South India), where a plantation regime is entangled with a forest conservation regime. Using group sound-walks as a preferred study method, this approach immediately raises the question of the “positionality” from which we listen to the world, and thus opens the door to a political-environmental mapping of the territory that is attentive to the circulation of humans, animals and sound. …”
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APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS by Phạm Quang Thuận, Nguyễn Đình Thuân

“…We evaluated the data set with the SVM and Random Forest algorithms and also investigated the Decision Tree, Logistic Regression, K-Nearest-Neighbors, Naïve Bayes, and Multi-Layer Perceptron (MLP) algorithms. …”
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Teach Aquaculture Curriculum: How Big Is That Pond? by Cortney L. Ohs, Amber L. Garr, R. Leroy Creswell, Elisa J. Livengood, Brian E. Myers, Carlos V. Martinez, Frank A. Chapman, Craig S. Kasper

“…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, May 2010. …”
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