Villa d’époque romaine et habitat médiéval à Mont-Saint-Jean (Sarthe) : bilan des recherches 2008-2020 by Florian Sarreste, Paul-André Besombes, Phaedra Bouvet, Chloé Genies, Étienne Jaffrot, Florian Jedrusiak, Thomas Jubeau, Anthony Ledauphin, Annaïg Le Martret, Christophe Loiseau, Hugo Meunier, Aurore Noël, Sandrine Paradis-Grenouillet, Boris Robin

“…The study of an ancient iron and steel production area located in the eastern part of the Sillé-le-Guillaume state forest (Sarthe) led to a renewal of research into the nearest rural settlement dated to the Roman period and situated between the localities of Roullée and La Selle in the commune of Mont-Saint-Jean (Sarthe), about 35 km northwest of Le Mans. …”
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Fifty years of progress in wildland fire modelling: from empirical to fully physical CFD models by Morvan, Dominique, Accary, Gilbert, Meradji, Sofiane, Frangieh, Nicolas

“…Many studies have particularly focused on the effects of various parameters (vegetation, topography, atmosphere) affecting the behaviour of a fire front propagating through a forest fuel layer.…”
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Technically Speaking, What Is Sturgeon Caviar? by Frank A. Chapman, Joel P. Van Eenennaam

“…Van Eenennaam, and published by the School of Forest Resources Program in Fisheries and Aquatic Sciences, June 2016. …”
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Work-Life Balance in Pediatric Orthopaedics: The Role of the LeadersBox 1 – Fostering work-life balance for my team: Corinna Franklin, MDBox 2 – Work-life balance interventions: Re... by Steven L. Frick, MD, Rebecca Glavin, MBA, MSW, LCSW, Corinna Franklin, MD, AB, Peter M. Waters, MD, MMSc

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La ruine angkorienne et le fromager : une mise en cloche d’un paysage fantasmé synonyme d’inaction ? by Sébastien Preuil

“…Today, although most Khmers do not appreciate this image of temples reclaimed by the forest which they consider as disrespectful of deities and a sign of the decline of their civilization, some monuments are voluntarily maintained by the Apsara Authority in a state of ruin in order to perpetuate romantic images which appeal to foreign tourists. …”
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The contributions of foreign aid and natural resource wealth to democratic institutions: Evidence from over 40 years of sub-Sahara Africa's history by Alex O. Acheampong, John Taden

“…Using five different democracy indices, six different foreign aid variables and six different natural resource rent variables, our endogeneity-corrected results establish the following conclusions: (i) all the democracy indices respond positively and significantly to multilateral foreign aid, total development assistance committee (DAC) aid and bilateral aid from Australia, the USA, the United Nations, and the European Union (ii) the political resource curse, rentier and repression theories are valid for rent from mineral, gas and oil resources (iii) the democracy indices respond positively and significantly to rent from coal and forest resources (iv) the effect of foreign aid on the democracy indices is contingent on natural resource wealth (v) these findings are robust to an alternative econometric estimation technique and specifications. …”
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Modelling potential impacts of climate change on the oak spatial distribution (Case study: Ilam and Lorestan provinces) by Mohammad Safaei, Hani Rezayan, Parviz Zeaiean Firouzabadi, Ali asghar Torahi

“…Examining the effects of climate change on the oak spatial distribution, as the main species of Zagros forests and its ecological and economic values is of significant importance. …”
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Physicochemical, antioxidant, and antimicrobial study in Nepalese honey by Amrita Adhikari, Nabin Kumar Thapa, Anita Gurung, Niranjan Parajuli

“…The IC50 values were calculated of which Forest honey was found to have the lowest IC50 value i.e. 7.735 ± 0.008 mg/mL. …”
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ANALISIS NERACA AIR LAHAN DI SUB DAS KRUENG JREUE KABUPATEN ACEH BESAR by MAWARDIANA MAWARDIANA, HELMI HASAN BASRI, TARMIZI TARMIZI

“…The highest percentage of groundwater was found in the primary forest (47.20%), while the lowest was in the bush (36.36%) …”
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Limiting the Carbon Footprint of an Enterprise: Calculation Methods and Solutions by Svetlana Ivanova, Elena Zhidkova, Alexander Prosekov

“…The fight against the carbon footprint problem requires a comprehensive approach, including improving energy efficiency, switching to renewable energy sources, improving emission reduction technologies, forest conservation and rational use of resources. …”
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Detecting and Predicting Models for QoS Optimization in SDN by Getahun Wassie, Jianguo Ding, Yihenew Wondie

“…In this regard, we employed DNN and CNN deep learning models to detect elephant flows, and the random forest model predicts elephant flows in the SDN. As a result of our experiments, the findings reveal that deep learning algorithms within the Ryu controller significantly outperform in detecting and predicting performance in order to yield good network throughput. …”
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Diabetes Risk Assessment: A Comparative Study of Decision Trees and Ensemble Learning Models by Lei Tianxing

“…The study’s experimental results demonstrate that applying Principal Component Analysis (PCA) to preprocess the data, followed by training a Random Forest (RF) model with 80% of the dataset, achieves an impressive accuracy of 89.86%. …”
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Used economy market insight: Sailboat industry pricing mechanism and regional effects. by Zhanni Huang, Hansheng Hu, Di Wu

“…Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. …”
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Identifying the Origin of Cyber Attacks Using Machine Learning and Network Traffic Analysis by Du Tianqing

“…The focus of this paper is on how supervised machine learning is used to determine the data origin. The Random Forest Classifier is the key model analyzing network traffic data to predict the origin of cyber-attacks. …”
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Effect of Catalytic Pyrolysis Conditions Using Pulse Current Heating Method on Pyrolysis Products of Wood Biomass by Sensho Honma, Toshimitsu Hata, Takashi Watanabe

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Combined effects of basalt fiber geometrical characteristics on pavement performance of asphalt mixtures. by Heng Zhou, Mengxin Li, Guyue Jin, Mengyu Guo, Yingjun Jiang

“…Additionally, a random forest algorithm is adopted to perform a weight analysis of fiber characteristics and their correlation with pavement performance.…”
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Analysis of the Potential for a Hillside Collapse for a Community in Changhua County, Taiwan by Pei Liu, Tung-Hua Tsai, Szu-Hsien Peng

“…Changhua County contains 589 villages, 81 of which are prone to hillsides (including protected forest). In addition to original potential debris flow torrent communities, disaster-resistant communities have been established under the guidance of Soil and Water Conservation Bureau (SWCB), Council of Agriculture in Taiwan; Changhua County Government also plans to establish disaster-resistant communities in other hillside communities. …”
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Lung Cancer Prediction Based on K-nearest Neighbor and Other Algorithms by Ren Yimo

“…The computer algorithms mainly used in this paper include Random forest, K-nearest neighbours, and Logistic regression. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“…In this work, Random Forest Regressor (RFR), Multi-Layer Perceptron Regressor(MLPR), and Support Vector Regression (SVR) models were employed to predict the magnitude of greater than 6 mb earthquakes that occurred in the year 2015 in the central Himalaya. …”
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How to Define Successful Stocking of Florida’s Freshwater Recreational Fisheries by Edward Vincent Camp, Rick Stout, Nick Trippel, Jon Fury, Stasey Whichel, Kai Lorenzen

“…Camp, Rick Stout, Nick Trippel, Jon Fury, Stasey Whichel, and Kai Lorenzen and published by the UF/IFAS School of Forest Resources and Conservation Program in Fisheries and Aquatic Sciences reviews recent scientific literature to describe the benefits of stocking and the potential drawbacks to create useful definitions of stocking success, as well as metrics for evaluation that are specifically tailored for Florida. …”
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