Estimation de la densité par comptage des nids des Bonobos (Pan paniscus) dans la région de Bolobo des localités de Nkala et Embirima, République Démocratique du Congo : résultats... by Ulrich Maloueki, Simon‑Pierre Kumugo Ndimbo, Jean Mukulire Malekani, Bekeli Nseu Mbomba

“…We determined the densities of the populations of bonobos in the mosaics of forests intersected with savannas in this area. The densities estimated during September 2008, have been relatively low 0.04 to 0.21 bonobos/km2, by the method of nests counting, along the transects lines, respectively for the secondary forest of Nkala-MMT (Mbou-Mon-Tour) and the primary forest of Embirima. …”
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Analysis of Financing Efficiency of Chinese Agricultural Listed Companies Based on Machine Learning by Lixia Liu, Xueli Zhan

“…The influencing factors of financing efficiency are analyzed using the Tobit regression model and the random forest regression model. And we find the following: (1) The random forest regression model significantly outperformed the Tobit regression model, with determination coefficients (R2) greater than 0.9 in full sample sets. (2) Total liability, financial expenses, return on total assets, and inventory turnover rate are important factors affecting financing efficiency of agricultural listed companies. (3) Return on total assets and inventory turnover rate promote the financing efficiency, while total liability and financial expenses reduce financing efficiency. …”
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Machine Learning Based Engagement Prediction for Online Courses by Wang Wanning

“…This study investigates the performance of three machine learning models (decision trees. SVMs, and random forests) in predicting online course participation. …”
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Socio Economic Assessment of Urban Forestry Respondents’ income in Okiti Pupa, Ondo State, Nigeria by OI Faleyimu, M Akinyemi

“…©JASEM Keywords: Income, urban forest, education, age …”
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Strong wind is one of the important factors that trigger landslides by Yuan-Chien Lin, Jui-Yun Hsieh, Hua-San Shih, Wen-Hsin Wang

“…Abstract Landslides, causing significant loss of life and property, are traditionally attributed to heavy rainfall and geological or topographical factors, often overlooking strong winds. In landslide-prone forest regions, typhoon-induced strong winds can uproot trees and destabilize their root systems, potentially triggering shallow landslides. …”
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Medicinal, nutritional, and nutraceutical potential of Sparassis crispa s. lat.: a review by Neha Sharma, Ashwani Tapwal, Rachna Verma, Dinesh Kumar, Eugenie Nepovimova, Kamil Kuca

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Promoting Cassava as an Industrial Crop in Ghana: Effects on Soil Fertility and Farming System Sustainability by S. Adjei-Nsiah, Owuraku Sakyi-Dawson

“…Recent finding from field studies in the forest/savannah transitional agroecological zone of Ghana indicates that when integrated in the cropping system as a form of rotation, cassava contributes significantly to maintenance of soil fertility, and thus large scale production of cassava for industrial use can contribute to poverty reduction in an environmentally responsive way. …”
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Effects of Landform on Site Index for Two Mesophytic Tree Species in the Appalachian Mountains of North Carolina, USA by W. Henry McNab

“…The effects of soil and topographic variables on forest site index were determined for two mesophytic tree species, northern red oak (Quercus rubra L.) and yellow-poplar (Liriodendron tulipifera L.) in the Southern Appalachian Mountains of North Carolina. …”
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Developing a Ship Collision Risk Assessment Model with Internal and External Factors: Focused on South Korea Maritime Environment by Sangwon Park, Jiho Yeo, Kyonghan Lee

“…Through a survey of experienced maritime personnel and a random forest model analysis, an evaluation model integrating internal and external factors was devised. …”
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Analysis of Land Use/Land Cover Changes Using Remote Sensing Data and GIS at an Urban Area, Tirupati, India by Praveen Kumar Mallupattu, Jayarama Reddy Sreenivasula Reddy

“…The comparison of LU/LC in 1976 and 2003 derived from toposheet and satellite imagery interpretation indicates that there is a significant increase in built-up area, open forest, plantation, and other lands. It is also noted that substantial amount of agriculture land, water spread area, and dense forest area vanished during the period of study which may be due to rapid urbanization of the study area. …”
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Socio Economic Assessment of Urban Forestry Respondents’ income in Okiti Pupa, Ondo State, Nigeria by OI Faleyimu, M Akinyemi

“…©JASEM Keywords: Income, urban forest, education, age …”
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Natural exposure to Chikungunya virus in golden-headed lion tamarin (Leontopithecus chrysomelas, Kuhl, 1820) from non-protected areas in southern Bahia, Brazil: Implications and si... by Sofía Bernal-Valle, María Angélica Monteiro de Mello Mares-Guia, Filipe Vieira Santos de Abreu, Fabrício Souza Campos, Cirilo Henrique de Oliveira, Antônio Victor Veloso Ramos, Reizane Pereira Lordelo, Kristel De Vleeschouwer, Leonardo de Carvalho Oliveira, Hllytchaikra Ferraz Fehlberg, Ana Maria Bispo Filippis, Bergmann Morais Ribeiro, Paulo Michel Roehe, Anaiá da Paixão Sevá, Danilo Simonini-Teixeira, George Rego Albuquerque

“…Surveys were conducted in three groups within cocoa agroforests (cabrucas) in Ilhéus, and four groups in anthropized forest and agroforestry fragments in Una, between 2021 and 2022. …”
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Effects of Land Uses on Soil Quality Indicators: The Case of Geshy Subcatchment, Gojeb River Catchment, Ethiopia by Melku Dagnachew, Awdenegest Moges, Asfaw Kebede Kassa

“…The LU types identified for evaluation included natural forest, cultivation, and grazing lands. Accordingly, a total of 54 soil samples (three LU types × three slope classes (blocks) × three replications × two soil depths) were collected with an “X” plot design for data analysis. …”
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Antiviral therapy can effectively suppress irAEs in HBV positive hepatocellular carcinoma treated with ICIs: validation based on multi machine learning by Shuxian Pan, Zibing Wang

“…The accuracy of the Lasso regression model was 0.864, XGBoost achieved 0.903, and RandomForest reached 0.961. Resampling internal validation revealed that RandomForest had the highest recall rate (AUC = 0.892). …”
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Informing proactive wildfire management that benefits vulnerable communities and ecological values by L. Mae Lacey, Justin P. Suraci, Caitlin E. Littlefield, Blake S. Busse, Brett G. Dickson

“…The ecological values and ecosystem services provided by forests have also typically been secondary considerations. …”
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Halofuginone- and Chitosan-Coated Amnion Membranes Demonstrate Improved Abdominal Adhesion Prevention by Scott Washburn, Jamie L. Jennell, Steve J. Hodges

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Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier by Rachel Mawer, Jelger Elings, Stijn P. Bruneel, Ine S. Pauwels, Eliezer Pickholtz, Renanel Pickholtz, Johan Coeck, Peter L.M. Goethals

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Glucose-Sensing Carbohydrate Response Element-Binding Protein in the Pathogenesis of Diabetic Retinopathy by Christopher R. Starr, Assylbek Zhylkibayev, Oleg Gorbatyuk, Alli M. Nuotio-Antar, James Mobley, Maria B. Grant, Marina Gorbatyuk

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Assessing the Sustainability of Southeast Asia’s Energy Transition: A Comparative Analysis by Faten Derouez, Adel Ifa

“…To support sustainable energy development, tailored policy recommendations include incentivizing investments in renewable energy, enhancing technology transfer, expanding forest conservation efforts, and aligning regional renewable energy targets across ASEAN. …”
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Purification and Characterization of a Low Molecular Weight Neutral Non-Starch Polysaccharide from Panax ginsen g by Enzymatic Hydrolysis by Ying Ying, Chao Ma, Yajie Zhang, Xiaoping Li, Hongxin Wu

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