The efficiency of short-term crop rotations with different sunflower saturation by Zinaida Dehtiarova, Mykola Shevchenko, Yurii Dehtiarov, Victor Budyonny

“…The economic and energy efficiency of crop rotations saturated with sunflower under the conditions of the Left-Bank ForestSteppe region of Ukraine was calculated using technological maps and prices as of 2024. …”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…Later, five state-of-the-art ensemble models for healthcare diagnosis were implemented along with a proposed ensemble machine learning model, KNN-XGBoost-SVM-Random Forest (KNN-X-SVM-R). The proposed model achieved an accuracy of 97.03% which supersedes all the other state-of-the-art models. …”
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Diversity and composition of vegetation and soil seed banks after sand dune restoration by oil mulching and plantations by Banafsheh Jalilian, Noredin Rostami, Mehdi Heydari, Mehrdad Kohzadian, Orsolya Valkó, Reza Omidipour

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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

“…Various models were evaluated, including Standard and penalized Cox models, Random Survival Forest, and Stochastic Gradient Boosting. Prognostic predictors were selected based on statistical significance and variable importance. …”
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Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels by Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Szabolcs Szávai, Gyula Varga

“…Finally, the data samples collected from numerical outcomes were utilized to train four different machine learning models, namely multi-variable linear regression, polynomial regression, the random forest regressor and the K-nearest neighbor regressor. …”
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Heartwood/Sapwood Characteristics of <i>Populus euphratica</i> Oliv. Trunks and Their Relationship with Soil Physicochemical Properties in the Lower Tarim River, Northwest China by Tongyu Chen, Tayierjiang Aishan, Na Wang, Ümüt Halik, Shiyu Yao

“…This study examines the natural <i>Populus euphratica</i> Oliv. forest in the Arghan section of the lower Tarim River, comparing the heartwood and sapwood characteristics of <i>P. euphratica</i> at different distances from the river, as well as at varying trunk heights and diameters at breast height (DBH). …”
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Comparison of the efficacy and safety of bupropion versus aripiprazole augmentation in adults with treatment-resistant depression: a nationwide cohort study in South Korea by Dong Yun Lee, Rae Woong Park, Soo Min Jeon

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Proximate Composition and In Vitro Bioactive Properties of Leaf Extracts from Seven <i>Viola</i> Species by Guangnian Zeng, Xingfan Li, Chunbo Zhao, Yongkang Pang, Xiongfei Luo, Zhonghua Tang

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Addressing Label Noise in Colorectal Cancer Classification Using Cross-Entropy Loss and pLOF Methods With Stacking-Ensemble Technique by Ishrat Zahan Tani, Kah Ong Michael Goh, Md Nazmul Islam, Md Tarek Aziz, S. M. Hasan Mahmud, Dip Nandi

“…Fourth, we adopted a random forest–based recursive feature elimination (RF-RFE) feature selection method with various combinations of features to recursively select the most influential ones for accurate predictions. …”
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New Resinogalea species from Araucaria araucana resin in Chile and reclassification of the genus in the Cryptocaliciomycetidae by Felipe Balocchi, Irene Barnes, Michael J. Wingfield, Rodrigo Ahumada, Cobus M. Visagie

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Comparative Bioremediation of Crude Oil-Amended Tropical Soil Microcosms by Natural Attenuation, Bioaugmentation, or Bioenrichment by Vanessa Marques Alvarez, Joana Montezano Marques, Elisa Korenblum, Lucy Seldin

“…In this study, we evaluated the effectiveness of monitored natural attenuation, bioenrichment, and bioaugmentation using a consortium of three actinomycetes strains in remediating two distinct typical Brazilian soils from the Atlantic Forest and Cerrado biomes that were contaminated with crude oil, with or without the addition of NaCl. …”
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Ensemble machine learning models for lung cancer incidence risk prediction in the elderly: a retrospective longitudinal study by Songjing Chen, Sizhu Wu

“…For each subgroup, random forest, extreme gradient boosting, deep neural networks, support vector machine, multiple logistic regression and deep Q network (DQN) models were developed and validated. …”
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Impacts of climate change on the suitable habitat of Angelica sinensis and analysis of its drivers in China by Shaoyang Xi, Xudong Guo, Xiaohui Ma, Ling Jin

“…Overlay analysis with 2020 land cover data indicated that 861,437 km² of arable and forest land are suitable for A. sinensis cultivation. …”
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A recurrence model for non-puerperal mastitis patients based on machine learning. by Gaosha Li, Qian Yu, Feng Dong, Zhaoxia Wu, Xijing Fan, Lingling Zhang, Ying Yu

“…A combination of four machine learning algorithms (XGBoost、Logistic Regression、Random Forest、AdaBoost) was employed to predict NPM recurrence, and the model with the highest Area Under the Curve (AUC) in the test set was selected as the best model. …”
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Uncertainty analysis of linear and non-linear regression models in the modeling of water quality in the Caspian Sea basin: Application of Monte-Carlo method by Sahar Heidari Masteali, Mahmoud Bayat, Pete Bettinger, Mansour Ghorbanpour

“…This research focuses on the southern basin area of the Caspian Sea in Iran, where there have been limited studies on uncertainty analysis in water quality models. First, a forest layer was extracted from land cover map and 25 large watersheds were selected. …”
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Spatial heterogeneity in deployment and upscaling of wind power in Swedish municipalities by Yodefia Rahmad, Fredrik Hedenus, Jessica Jewell, Vadim Vinichenko

“…Municipalities with the highest large-scale deployment typically have extensive forest cover, low population density and wind speeds within a lower median range relative to the national median. …”
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From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults by Ling-Jie Fan, Feng-Yi Wang, Jun-Han Zhao, Jun-Jie Zhang, Yang-An Li, Jia Tang, Tao Lin, Quan Wei

“…We then developed explainable machine learning models, primarily random forest, optimized with hyperparameters, to predict individual cognitive function status. …”
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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…Fourier and wavelet transforms are used to extract features and the performances of various machine learning algorithms, namely Decision Tree, Random-Forest, K-Nearest Neighbors, Support Vector Machine, Artificial Neural Networks, and SubSpace KNN, are comparatively studied. …”
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Spatial-temporal evolution of habitat quality in tropical monsoon climate region based on “pattern–process–quality” – a case study of Cambodia by Kang Junmei, Yang Fengshuo, Wang Jun, Liu Yang, Fang Dengmao, Jiang Chengcheng

“…The results show that (1) during 2000–2022, forest in Cambodia covered a wide range, showing a landscape pattern mainly distributed in the east and west. (2) The degree of fragmentation of impervious landscape pattern increased gradually from 2000 to 2022, indicating that it was seriously affected by human activities and natural factors, and with the increase in elevation and slope, the area of various types converted to impervious decreased. (3) During 2000–2022, high habitat quality areas were concentrated in Tonle SAP Lake in the east, southwest, and central part of Cambodia, while low habitat quality areas were concentrated in the central part. (4) Natural factors, socio-economic factors, policies, and regulations all have an impact on the change in land use pattern and habitat quality in Cambodia.…”
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Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate by Jean-Marc Hero, Luke Shoo, Michael Duncan, Darren Roche, Jesse Kenny, Howard Taylor, Tim Robson, Sanjeev Kumar Srivastava, Josh Veitch-Michaelis

“…The City of Gold Coast established a program to restore native forests throughout the conservation estate (∼13,789 ha) utilizing constructed (CNR), assisted (ANR), and unassisted natural regeneration (UNR). …”
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