Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopathic inflammatory myopathies by Alessandro Massaro, Gerardo Cazzato, Giuseppe Ingravallo, Nadia Casatta, Carmelo Lupo, Angelo Vacca, Florenzo Iannone, Francesco Girolamo

“…A total of 84 images from 84 patients with IIM, diagnosed between 2014 and 2020, were retrieved and analyzed using the Fast Random Forest (FRF) technique. We built a lightweight and explainable algorithm for calculating the pixel percentage of CD31+ endomysial capillaries. …”
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Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV hyperspectral images by Anqi He, Zhanghua Xu, Yifan Li, Bin Li, Xuying Huang, Huafeng Zhang, Xiaoyu Guo, Zenglu Li

Subjects: “…Moso bamboo forests…”
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High light availability offsets low naturalness regarding diversity but cannot compensate for reduced ecological value: A case study of near-natural forests and tree plantations in Serbia by Khanh Vu Ho, Mirjana Ćuk, Andraž Čarni, Dragana Vukov, Miloš Ilić, László Erdös

“…Journal of Forest Science…”
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<i>In situ</i> and <i>ex situ</i> variability of phenological and morphological features in <i>Caltha palustris</i> L. under the conditions of the West Siberian forest steppe by Т. I. Fomina

“…The goal was to assess the variance in phenological and morphological features of C. palustris in the forest steppe of Western Siberia.Materials and methods. …”
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A Hybrid Method of PROSAIL RTM for the Retrieval Canopy LAI and Chlorophyll Content of Moso Bamboo (<italic>Phyllostachys pubescens</italic>) Forests From Sentinel-2 MSI Data by Zhanghua Xu, Chaofei Zhang, Songyang Xiang, Lingyan Chen, Xier Yu, Haitao Li, Zenglu Li, Xiaoyu Guo, Huafeng Zhang, Xuying Huang, Fengying Guan

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Correction: Linh et al. Contested Living with/in the Boeng Chhmar Flooded Forests, Tonle Sap Lake, Cambodia. <i>Land</i> 2022, <i>11,</i> 2080 by Vu Thi Phuong Linh, Kelly Shannon, Bruno De Meulder

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Caracterización de la productividad de las ebanisterías de Quibdó, Chocó-Colombia by Yessika Biasney Serna-Mosquera, Leidy Johana Agualimpia-Ortiz

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Deteción de Kirramyces epicoccoides, Puccinia psidii y Coniothyrium zuluense, agentes causales de enfermedades en Eucalyptus spp. en la zona de Concordia, Entre Ríos, Argentina by F. Marraro Acuña, S. M. Garran

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Nueva Enfermedad de Schizolobium parahybum (Vell.) S.F. Blake (pachaco) en Plantaciones del Trópico Húmedo Ecuatoriano by Carlos Belezaca Pinargote, Alex Paul Solano Apuntes, Brithany Michelle Belezaca Pinargote, Edison Hidalgo Solano Apuntes, Marcelino Santiago Guachambala Cando, Paola Eunice Díaz Navarrete

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La experiencia de Costa Rica en el pago por servicios ambientales: 20 años de lecciones aprendidas by Oscar Sánchez-Chaves, Gílmar Navarrete-Chacón

Subjects: “…Cobertura forestal…”
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Prospective cohort study of the evaluation of patient benefit from the redevelopment of a complete national forensic mental health service: the Dundrum Forensic Redevelopment Evaluation Study (D-FOREST) protocol by Harry G Kennedy, Mary Davoren, Ken O’Reilly, Damian Mohan

“…The aim of Dundrum Forensic Redevelopment Evaluation Study (D-FOREST) is to complete a structured evaluation study of a complete national forensic mental health service, at the time of redevelopment of the National Forensic Mental Health Service for the Ireland.Methods and analysis D-FOREST is a multisite, prospective observational cohort study. …”
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Forest planning, rural practices, and woodland cover in an 18th-century Alpine Valley (Val di Fiemme, Italy): A geohistorical and GIS-based approach to the history of environmental resources by Nicola Gabellieri, Ettore Sarzotti

“…The establishment of Habsburg norms represents a watershed in forest management with direct environmental effects that can be seen over the subsequent century. …”
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A global gross primary productivity of sunlit and shaded canopies dataset from 2002 to 2020 via embedding random forest into two-leaf light use efficiency modelZenodo by Zhilong Li, Ziti Jiao, Ge Gao, Jing Guo, Chenxia Wang, Sizhe Chen, Zheyou Tan

“…We attempt to generate a long-term global dataset for GPP of sunlit (GPPsu) and shaded leaves (GPPsh) by a hybrid model combining the random forest (RF) submodule with the two-leaf light use efficiency (TL-LUE) model. …”
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Assessing the Inter-Rater and Inter-Trial Reliability of the NeurOptics Pupillary Light Response-3000 Pupillometer by Deborah A Jehu, Lori A Bolgla, Samantha Armas, Forest Dutton

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Quantitative Characteristics of Brown Bear (Ursus arctos L.) Feeding on Umbelliferae Plants by S.S. Ogurtsov

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Predictors of depression among Chinese college students: a machine learning approach by Lin Luo, Junfeng Yuan, Chenghan Wu, Yanling Wang, Rui Zhu, Huilin Xu, Luqin Zhang, Zhongge Zhang

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Annotated Checklist of Poroid Hymenochaetoid Fungi in Central Asia: Taxonomic Diversity, Ecological Roles, and Potential Distribution Patterns by Yusufjon Gafforov, Manzura Yarasheva, Xue-Wei Wang, Milena Rašeta, Yelena Rakhimova, Lyazzat Kyzmetova, Kanaim Bavlankulova, Sylvie Rapior, Jia-Jia Chen, Ewald Langer, Burkhon Munnavarov, Zafar Aslonov, Bobozoda Bakokhoja, Li-Wei Zhou

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Analyzing Drought Propagation and Its Influential Factors in the Upper Nan Watershed, Thailand by Muhammad Chrisna Satriagasa, Piyapong Tongdeenok, Naruemol Kaewjampa

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Prediction of viscosity of blast furnace slag based on NRBO-DNN model by Zhe Li, Meng Wang, Rui Xu, Juanjuan Jiang, Jie Li, Zunqian Zhang, Aimin Yang

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Forecasting O3 and NO2 concentrations with spatiotemporally continuous coverage in southeastern China using a Machine learning approach by Zeyue Li, Jianzhao Bi, Yang Liu, Xuefei Hu

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