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    Historical and projected forest cover changes in the Mount Kenya Ecosystem: Implications for sustainable forest management by Brian Rotich, Abdalrahman Ahmed, Benjamin Kinyili, Harison Kipkulei

    Published 2025-06-01
    “…Land Use Land Cover (LULC) maps for 2000, 2014, and 2023 were classified using Random Forest (RF) in Google Earth Engine (GEE). Explanatory factors of LULC change (slope, aspect, population density, proximity to rivers, roads, and towns) were used to project LULC for 2035 using Cellular Automata and Markov Chain Analysis (CA-MCA).Six LULC types (open forest, closed forest, cropland, bareland, built-up, shrubland and grassland) were successfully classified with accuracies exceeding 82.5% and Kappa coefficients above 0.77. …”
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    Prognostic Value of Inflammatory and Nutritional Indicators in Non-Metastatic Soft Tissue Sarcomas by Yan Y, Zhang Y, Chen Y, Zhong G, Huang W, Zhang Y

    Published 2025-02-01
    “…Yuan Yan,1– 3,* Yunhui Zhang,1– 3,* Yonghan Chen,1– 3,* Guoqing Zhong,2,3 Wenhan Huang,2,3 Yu Zhang1– 3 1School of Medicine, South China University of Technology, Guangzhou, Guangdong, People’s Republic of China; 2Department of Orthopaedics Oncology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People’s Republic of China; 3School of Materials Science and Engineering (National Engineering Research Center for Tissue Restoration and Reconstruction), South China University of Technology, Guangzhou, Guangdong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yu Zhang; Wenhan Huang, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Zhongshan 2nd Road, Guangzhou, Guangdong, People’s Republic of China, Email luck_2001@126.com; wenhanx@126.comBackground: Soft tissue sarcoma (STS) has lacked reliable prognostic indicators. …”
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