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581
Mechanisms of co-presence in repetitive drama studio performances
Published 2024-12-01“…This paper presents the examples from the Zagreb Youth Theatre (ZKM) Drama Studio's final production "A Bunch of Forest Fairies" (June 2023) which contains elements of Impro, process drama (uncharacteristically performed on stage), inside and outside mentoring (super mentoring), and fairy tale elements that are transformed in a new socio-cultural context. …”
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582
Effects of Land Slides in Muko Sub-County Rubanda District.
Published 2024“…From the research, objective three was found to be the control measures of landslides as they include; forestation, Land use practices, Government policy, Community participation, Resettlements, and Community mobilization.…”
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583
Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients.
Published 2025-01-01“…<h4>Methods</h4>Machine learning components, including ridge regression, XGBoost, k-nearest neighbor, light gradient boosting machine, logistic regression, support vector machine, neural network, and random forest, were used to construct a predictive model and identify the risk factors for SPMs with data from the Surveillance, Epidemiology and End Results. …”
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584
The Assessment of the Green Development of the Tobacco Industry Using a Multicriteria Method
Published 2025-02-01“…According to the views of experts, the most significant sub-criteria for the green development of the tobacco industry are increasing energy efficiency; safeguarding against hazardous wastewater in the environment; reducing the content of hazardous materials used in products; improving air, land, and water quality where economic activity takes place; sustainable forest management; eco-design, especially for efficient material use, biodegradability, and recyclability; and collaboration with suppliers. …”
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585
Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models
Published 2025-02-01“…Three models with different approaches were applied to correlate and model the experimental data set: (i) seven density-based models, (ii) PR equations of state (vdW2 mixing rule), and (iii) machine learning-based models, namely non-linear regressions, Random Forest, Gradient Boosting, Decision Tree, and Kernel Ridge. …”
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586
TRAUMATIC CERVICAL SPINAL CORD INJURY. IS URGENT INTERVENTION SUPERIOR TO DELAYED INTERVENTION? A META-ANALYSIS EVALUATION
Published 2019-12-01“…The data was presented in odd ratio (OR) and confidence interval (CI) and were further analyzed by forest plot. Results: From PubMed, there were 353 articles, Embase 2 articles, and Cochrane 594 articles, but only 3 articles which fulfilled the inclusion criteria. …”
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587
A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function
Published 2022-11-01“…Finally, we evaluate our proposed method against some of the most popular ML methods, including a k-nearest neighbor, support vector machine, random forest, decision tree, logistic regression, and extreme gradient boosting (Xgboost). …”
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588
Atmospheric Methane Condition over the South Sumatera Peatland during the COVID-19 Pandemic
Published 2021-06-01“…Thus, the restrictions during lockdown, which reduced anthropogenic activities, such as land use conversion and biomass burning, and related events, such as peatland and forest fires, significantly influenced the level of atmospheric CH4 above the peatlands in Indonesia.…”
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589
Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania
Published 2025-01-01“…A variety of supervised machine-learning algorithms such as RBF Kernel in SVM, Linear Kernel in SVM, Polynomial Kernel in SVM, Random Forest, Logistic regression classifier, Decision tree, Gradient Boosting, K-Nearest Neighbours Classifier, Naïve Bayes Classifier, Artificial Neuron Network and Ensemble Learning Model were implemented to predict multidimensional poverty status for each dataset. …”
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590
Diversity and abundance of butterflies in urban areas of Bankura district, Bankura, West Bengal, India
Published 2025-02-01“…Abstract Objective During the present study, the biodiversity profile of butterflies was assessed on the Bankura Christian College campus, a large area with a huge amount of trees, bushes, rain forest, and undisturbed areas within the urban areas of Bankura district of West Bengal, India. …”
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591
Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms
Published 2025-07-01“…Conventional ML techniques like random forest (RF) and decision tree (DT) were also employed for comparison. …”
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592
Gastrochilus obovatifolius (Orchidaceae, Aeridinae), a new species from the Daba Mountains of Chongqing, China
Published 2025-02-01“…The new species is a trunk epiphyte in evergreen broad-leaved forest.…”
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593
What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection
Published 2022-06-01“…This study comprehensively assessed ten widely used data techniques, namely AdaBoost, Bayesian ridge, gradient tree boosting, K-nearest neighbors, Lasso, multivariable linear regression, neural network, random forest, ridge regression, and support vector machine. …”
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594
Implementasi Sensor Polar H10 dan Raspberry Pi dalam Pemantauan dan Klasifikasi Detak Jantung Beberapa Individu Secara Simultan dengan Pendekatan Machine Learning
Published 2024-02-01“…Data tersebut kemudian diprediksi menggunakan model machine learning berbasis random forest yang berjalan pada Raspberry Pi untuk prediksi 5 jenis detak jantung. …”
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595
Control y Biología del Helecho Trepador Japonés (Lygodium japonicum)
Published 2016-11-01“…Bohn, and Francisco Escobedo, and published by the UF Department of School of Forest Resources and Conservation, November 2016. …”
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596
Effects of Vegetation Restoration on Soil Infiltration and Runoff in the Gully Regions on the Loess Plateau
Published 2024-12-01“…[Results] (1) Vegetation restoration significantly increased the values of soil infiltration characteristics and capacity, with the order of artificial forest > natural grassland > corn farmland. (2) Compared to bare ground, grassland increased the transformation of rainfall into soil storage, reduced surface runoff, and led to the appearance of multiple layers of interflow. (3) Compared to bare ground, grassland showed more rapid changes in soil moisture content, richer runoff components, and less runoff volume. (4) When the intensity of rainfall on bare ground was much greater than the infiltration capacity of the land, surface runoff would be formed rapidly, and the amount of infiltration would be small, and there was a shallow and relatively impermeable layer in naturally restored grassland, and there was a big difference between the infiltration capacity of the upper and lower soil layers, so as to form a loamy mid-stream. …”
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597
Automated potato tuber mass estimation and grading with multiangle 2D images
Published 2025-03-01“…In the second step, a random forest classification model was developed to grade the potato tubers based on image-extracted tuber width dimensions from the top, side, and both angles. …”
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598
Utilization of Sanitized Human Excreta and Wood Ash for Establishing Multipurpose <i>Ficus Thonningii</i> Blume in a Degraded Tantalum Technosol
Published 2020-01-01“…Hardwood cuttings of ficus from homesteads in Western Rwanda were planted in 20.4 × 19 cm diameter pots containing 5 kg forest soil (FS) and 6 kg Technosol. Five treatments including No amendment; HUF alone (100 mL/pot); HUF+WA (100 mL + 60 g/pot); FM (200 g/pot); and FM+WA (200 g + 60 g/pot) were prepared in ten replicates each. …”
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599
Zika, a Mosquito-Transmitted Virus
Published 2016-02-01“…In its native range in West Africa and Uganda, the Zika virus stays in the forest for the most part, and human infections are considered incidental and medically inconsequential. …”
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600
Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques.
Published 2025-01-01“…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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