A novel machine learning approach for spatiotemporal prediction of EMS events: A case study from Barranquilla, Colombia by Dionicio Neira-Rodado, Juan Camilo Paz-Roa, John Willmer Escobar, Miguel Ángel Ortiz-Barrios

“…The model outperforms a Random Forest trained solely on time-series data, boosting accuracy by up to 26.9 % in Barranquilla's case study zones, with a mean improvement of 16.4 %. …”
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Palm oil plantation waste handling by smallholder and the correlation with the land fire by H. Herdiansyah, E. Frimawaty

“…<strong>BACKGROUND AND OBJECTIVES: </strong>From August to October 2019, several provinces in Sumatra and Kalimantan had faced severe forest fires, causing thousands of citizens to suffer respiratory disorders. …”
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Quantifying urbanization-induced dynamics of urban sprawl using spatial metrics method in Adama City, Ethiopia by Shimelis Sishah Dagne, Hurgesa Hundera Hirpha, Addisu Teshome Tekoye, Zenebe Reta Roba, Mitiku Badasa Moisa

“…The results demonstrate that agricultural land and forest land were negatively impacted by urbanization-induced changes in land use and cover in Adama City. …”
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The Response of Sensitive LULC Changes to Runoff and Sediment Yield in a Semihumid Urban Watershed of the Upper Awash Subbasin Using the SWAT+ Model, Oromia, Ethiopia by Bekan Chelkeba Tumsa

“…Agriculture and urbanization both increased at 7.1% and 7.95%, respectively. In contrast, the forest area decreased by 8.8% and shrubland by 3.25% from 2000 to 2020. …”
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Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques. by Halit Tutar, Senol Celik, Hasan Er, Erdal Gönülal

“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”
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Jilin Province of China, 1949–1979: History of Regional and Demographic Development by Svetlana B. Makeeva

“…Jilin’s regional and demographic development from 1949 to 1979 was characterized by increased birth and decreased mortality rates, rapid population growth and that of urban areas, accelerated urbanization, and migrations from other provinces to industrial, forest and rural territories of Jilin. …”
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Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III by Mingzhang Pan, Xinxin Cao, Changcheng Fu, Shengyou Liao, Xiaorong Zhou, Wei Guan

“…Firstly, a data cleaning method based on isolated forest and correlation analysis is designed to improve the stability of the system. …”
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Machine learning based prediction models for the prognosis of COVID-19 patients with DKA by Zhongyuan Xiang, Jingyi Hu, Shengfang Bu, Jin Ding, Xi Chen, Ziyang Li

“…We developed five machine learning-based prediction models—Extreme Gradient Boosting (XGB), Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), and Multilayer Perceptron (MLP)—to evaluate the prognosis of COVID-19 patients with DKA. …”
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Prevalence of Undiagnosed Diabetes and Prediabetes in the Dental Setting: A Systematic Review and Meta-Analysis by Alagesan Chinnasamy, Marjory Moodie

“…Proportions were presented in tables and forest plots. All statistical analysis was performed using the MedCalc software. …”
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Betula pendula Roth. survival and growth in treeline is affected by genotype and environment by Kari Saikkonen, Otto Saikkonen, Marjo Helander, Irma Saloniemi

“…They were fenced to prevent vertebrate grazing, which is known to be among the most important factors limiting the expansion and regeneration of forests in European treeline ecotones. Overall, 90% and 81% of the trees were alive five and 40 years after planting in the two arboreta, respectively. …”
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Identification and Characterization of Novel Perivascular Adventitial Cells in the Whole Mount Mesenteric Branch Artery Using Immunofluorescent Staining and Scanning Confocal Micro... by Chandra Somasundaram, Rahul K. Nath, Richard D. Bukoski, Debra I. Diz

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Underutilized wild edible fungi and their undervalued ecosystem services in Africa by Gudeta W. Sileshi, Donatha D. Tibuhwa, Alec Mlambo

“…Almost all species play a role in nutrient recycling and hence the productivity of forests and agroecosystems. However, deforestation and land degradation are threatening the mushroom diversity in some regions of Africa. …”
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An Automated Approach for Epilepsy Detection Based on Tunable Q-Wavelet and Firefly Feature Selection Algorithm by Ahmed I. Sharaf, Mohamed Abu El-Soud, Ibrahim M. El-Henawy

“…The firefly optimization reduces the original set of features and generates a reduced compact set. A random forest classifier is trained for the classification and prediction of the seizures and seizure-free signals. …”
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DRIVERS OF ECONOMIC DEPENDENCE ON WOOD FUEL IN RURAL SOUTHERN ETHIOPIA: A CASE IN ABELA ABAYA DISTRICT. by Deginet Berhanu, Biruk Birhan, Gemedo Furo, Gezahegn Seyoum

“…The findings of the study have the potential to provide policymakers with valuable insights into the development of effective energy and forest policies, which can promote sustainable wood fuel extraction practices while ensuring the preservation of the environment for future generations.…”
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Pollen Sources for Melipona capixaba Moure & Camargo: An Endangered Brazilian Stingless Bee by Cynthia Fernandes Pinto da Luz, Tânia Maria Fernandes-Salomão, Lorena Gusmão Alvarenga Lage, Helder Canto Resende, Mara Garcia Tavares, Lucio Antonio de Oliveira Campos

“…Although the majority of the pollen types showed low percentage values, the results demonstrated that M. capixaba has taken advantage of the polliniferous sources available in the Atlantic Rainforest as well as in the “Capoeira” (brushwood, secondary forest) and “ruderal” (field) plants, probably implying its importance as a pollinator of the native flora and of the exotic species.…”
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Cognitive Stimulation for Apathy in Probable Early-Stage Alzheimer's by Linda L. Buettner, Suzanne Fitzsimmons, Serdar Atav, Kaycee Sink

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Air temperature estimation based on environmental parameters using remote sensing data by Chenoor Mohammadi, Manouchehr Farajzadeh, Yousef Ghavdel Rahimi, Abbas Ali Aliakbar Bidokhti

“…With considering different land uses, the highest R2 was related to waters and urban areas (96 to 99%) in warm months, and the lowest R2 was for mixed forest and grassland (between 15 and 36%) in cold months.…”
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Sedimentary Organic Matter and Phosphate along the Kapuas River (West Kalimantan, Indonesia) by Pei Sun Loh, Chen-Tung Arthur Chen, Gusti Z. Anshari, Jiann-Yuh Lou, Jough-Tai Wang, Shu-Lun Wang, Bing-Jye Wang

“…Sedimentary P levels were the highest along the densely populated areas downstream from the Kapuas River; the second highest along the midstream river, which is surrounded by oil palm plantations; and the lowest along the upper river, which is surrounded by forest. Higher levels of OM, IP, OP, and TP downstream along the Kapuas River indicated the presence of anthropogenic sources of OM and P.…”
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A Novel Hybrid Machine Learning Framework for Wind Speed Prediction by Rhafes Mohamed Yassine, Moussaoui Omar, Raboaca Maria Simona, Mihaltan Traian Candin

“…In this study, we investigate the potential of machine learning to improve wind power forecasting by conducting a comparison of three regression models: K-Nearest Neighbor regression, Random Forest regression, and Support Vector regression. …”
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Upsilococconeis dapalistriata gen. nov. & comb. nov. (Bacillariophyta) – a pantropical marine member of Cocconeidaceae by Riaux-Gobin Catherine, Witkowski Andrzej, Risjani Yenny, Yunianta Yunianta, Berteaux-Lecellier Véronique, Kryk Adrian, Peszek Łukasz, Daniszewska-Kowalczyk Genowefa

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