Sustainability of Mahogany Production in Plantations: Does Resource Availability Influence Susceptibility of Young Mahogany Plantation Stands to Hypsipyla robusta Infestation? by C. B. Darko, E. Opuni-Frimpong, S. A. Owusu, B. Kyere, A. J. Storer

“…Four Meliaceae species (Khaya grandifoliola, K. ivorensis, Swietenia macrophyla, and Entandrophragma cylindricum) were established in a moist semideciduous forest in Ghana to study this selectivity at 12 and 21 months after planting. …”
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A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data by M. Atzeni, G. Cappon, J. K. Quint, F. Kelly, B. Barratt, M. Vettoretti

“…The best performing models were Random Forest in cluster 1, with area under the receiver operating characteristic curve (AUC) of 0.90, and area under the precision/recall curve (AUPRC) of 0.7; and Random Forest model in cluster 2, with AUC of 0.82 and AUPRC of 0.56. …”
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Diversity and Conservation Status of Large Mammals in Ghamot National Park, Azad Jammu and Kashmir, Pakistan by Muhammad Jahangeer, Siddique Muhammad, Muhammad Shakeel, Mir Muhammad Saleem, Ali Usman, Hussain Abid

“… We assessed the richness, diversity, composition of the large mammal community in Ghamot National Park (GNP), Neelum valley Azad Jammu and Kashmir, Pakistan, and how these characteristics differed between four habitat types: forest, riparian zone, scrubland, and wetland, as well as between seasons. …”
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Assessment of Soil Erosion and Its Impact on Agricultural Productivity by Using the RMMF Model and Local Perception: A Case Study of Rangun Watershed of Mid-Hills, Nepal by Dinesh Bhandari, Rajeev Joshi, Raju Raj Regmi, Nripesh Awasthi

“…It indicates that the rate of soil erosion was lower in forest areas, whereas it was higher in the barren land. …”
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The Spatio-temporal Evolution of NDVI in the Three Gorges Reservoir Area Driven by the Synergistic Effect of two Factors over the Past 21 Years by QI Haimei, ZHENG Peilong, WANG Yunqi, WANG Jiani, LI Cheng, ZHANG Xiaoming

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Chemical Composition and Antimicrobial Activity of Essential Oil of <i>Camphora glanduliferum</i> ‘Honganzhang’ by Yang Yang, Qiuting Xiang, Yinan Yang, Donglv Shu, Jiawen Yan, Lijun Huang, Xiumei Yang, Jing Peng, Xingliang Chen, Guoqun Yang

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Six new species of zombie-ant fungi from Yunnan in China by Dexiang Tang, Ou Huang, Weiqiu Zou, Yuanbing Wang, Yao Wang, Quanying Dong, Tao Sun, Gang Yang, Hong Yu

“…They are widespread within tropical forests worldwide, with relatively few reports from subtropical monsoon evergreen broad-leaf forest. …”
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The fungal microbiota modulate neonatal oxygen-induced lung injury by Isaac Martin, Mary Silverberg, Ahmed Abdelgawad, Kosuke Tanaka, Brian A. Halloran, Teodora Nicola, Erin D. Myers, Jay P. Desai, Catrina T. White, Ibrahim Karabayir, Oguz Akbilgic, Laura Tipton, Samuel J. Gentle, Namasivayam Ambalavanan, Brian M. Peters, Luan D. Vu, Viral G. Jain, Charitharth V. Lal, Stephania A. Cormier, Joseph F. Pierre, Tamás Jilling, Ajay J. Talati, Kent A. Willis

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Land use changes, green house gas emissions, and rehabilitation model of native tree species towards sustainable management by W.C. Adinugroho, H.L. Tata, . Darwo, Y. Lisnawati, H.S. Nuroniah, R. Dewi, I. Heriansyah, . Mawazin

“…This study focuses on analyzing the dynamic of peatland use land cover changes, its driver and impact on green house gas emission, and rehabilitating degraded peatlands in Jambi province, Indonesia, specifically in the Bram Itam and Londerang peat forest reserves. This study was depicted into 3 objectives consisted of 1) Utilize spatial analysis to examine the dynamics of peatland use change and the trajectory of peatland use, as well as to identify the drivers behind these changes; 2) describe the effects of altering peatland utilization; and 3) describe seedling performance planted on the peatland forest of Jambi province, as Tanjung Jabung Barat and Tanjung Jabung Timur.METHODS: Land-use and land-cover change analysis was carried out utilizing various map resources. …”
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Megagrazer loss drives complex landscape-scale biophysical cascades by Olli Hyvarinen, Mariska te Beest, Elizabeth le Roux, Graham I H Kerley, Robert Buitenwerf, Dave J Druce, Jiquan Chen, Linda Rapp, Joana Fernandes, Joris P G M Cromsigt

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The good, the better and the challenging: Insights into predicting high-growth firms using machine learning by Sermet Pekin, Aykut Şengül

“…Our findings indicate that XGBoost achieves the highest performance, followed by Random Forest and Logistic Regression, demonstrating their effectiveness in distinguishing between high-growth and non-high-growth firms. …”
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Mechanical behavior of additive manufactured wood-based composites for construction by Milinda Yapa Hamillage, Robert Carne, Armando G McDonald, Michael Maughan, Ahmed A Ibrahim, Daniel J Robertson

Green Economy Transition in Vietnam: Assessing Unemployment and Life Expectancy Dynamics by Jude Anne P. Salvador, Elisha Angel Anne G. Santiago, Ronaldo R. Cabauatan, Marie Antoinette L. Rosete

“…Similarly, none of the independent variables—CO2 emissions, forest area, and renewable energy consumption—were statistically significant for unemployment. …”
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Assessment of the Effectiveness of Ectomycorrhizal Inocula to Promote Growth and Root Ectomycorrhizal Colonization in Pinus patula Seedlings Using the Most Probable Number Techniqu... by Manuel Restrepo-Llano, Nelson W. Osorio, Juan D. León

“…The low EPD of the ES inoculum suggests that soil extracted from forest plantations had very low effectiveness for promoting root colonization and plant growth. …”
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More on mobility and sedentism: Changes in adaptation from Upper Paleolithic to Incipient Jomon, Tanegashima Island, southern Japan. by Kazuki Morisaki, Fumie Iizuka, Masami Izuho, Mark Aldenderfer

“…Although the relationship between cause and effect of these factors is still to be clarified in future work, our study provides insights on the fundamental causes of sedentism in the temperate forest of the late Pleistocene.…”
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Estimation of Total Yearly CO2 Emissions by Wildfires in Mexico during the Period 1999–2010 by Flor Bautista Vicente, Noel Carbajal, Luis Felipe Pineda Martínez

“…The most affected vegetation types were forest and rainforest.…”
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Which species of small mammals tolerate highly urbanized areas – the study in Warsaw agglomeration and surroundings by Grzegorz Lesiński, Jakub Gryz, Dagny Krauze-Gryz

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Factors Affecting Bird Diversity in the Wetlands of Muara Gembong, Indonesia by Muhammad Hamas Fathani, Yeni Aryati Mulyani, Ani Mardiastuti, Wibowo Agung Djatmiko

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A Novel Approach for Detecting DGA-Based Botnets in DNS Queries Using Machine Learning Techniques by Ali Soleymani, Fatemeh Arabgol

“…The performance of the proposed model has been evaluated using different classifiers of machine learning algorithms such as decision tree, support vector machine, random forest, and logistic regression. Experimental results show that the random forest algorithm can be used effectively in botnet detection and has the best botnet detection accuracy.…”
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Hydrological Evaluation of Satellite Soil Moisture Data in Two Basins of Different Climate and Vegetation Density Conditions by Lu Zhuo, Dawei Han

“…The results demonstrate SMOS outperforms AMSR-E in the Pontiac basin (cropland), while both products perform poorly in the French Broad basin (forest). The MODIS NDVI thresholds of 0.81 and 0.64 (for cropland and forest basins, resp.) are very effective in dividing soil moisture datasets into “denser” and “thinner” vegetation periods. …”
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