Quantum order by disorder is a key to understanding the magnetic phases of BaCo2(AsO4)2 by Sangyun Lee, Shengzhi Zhang, S. M. Thomas, L. Pressley, C. A. Bridges, Eun Sang Choi, Vivien S. Zapf, Stephen M. Winter, Minseong Lee

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Geogenic perspectives on potassium dynamics and plant uptake: insights from natural and submerged conditions across different soil types with machine learning predictions by Saibal Ghosh, Gourav Mondal, Shreya Chakraborty, Sonali Banerjee, Sumit Kumar, Riddhi Basu, Pradip Bhattacharyya

“…Machine learning models, particularly Random Forest, accurately predicted potassium availability and uptake, highlighting their potential in optimizing soil fertility and advancing precision agriculture for better crop yields and soil health.…”
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Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients. by Yulin Lai, Peiyuan Huang

“…<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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Bioactive 3D-Shaped Wound Dressings Synthesized from Bacterial Cellulose: Effect on Cell Adhesion of Polyvinyl Alcohol Integrated In Situ by Marlon Osorio, Jorge Velásquez-Cock, Luz Marina Restrepo, Robín Zuluaga, Piedad Gañán, Orlando J. Rojas, Isabel Ortiz-Trujillo, Cristina Castro

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A novel RFE-GRU model for diabetes classification using PIMA Indian dataset by Mahmoud Y. Shams, Zahraa Tarek, Ahmed M. Elshewey

“…Afterwards, we trained the extracted features using various types of Machine Learning (ML); Random Forest (RF), Logistic Regression (LR), K-Nearest neighbor (KNN), Naïve Bayes (NB), Histogram Gradient Boost (HGB), and Gated Recurrent Unit (GRU) models. …”
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Morphologic and Chemical Properties of PMMA/ATH Layers with Enhanced Abrasion Resistance Realised by Cold Plasma Spraying at Atmospheric Pressure by L. Wallenhorst, R. Rerich, M. Vovk, S. Dahle, H. Militz, G. Ohms, W. Viöl

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Utilization of Sanitized Human Excreta and Wood Ash for Establishing Multipurpose <i>Ficus Thonningii</i> Blume in a Degraded Tantalum Technosol by D. Neina

“…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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Zika, a Mosquito-Transmitted Virus by L. Phil Lounibos, Barry W. Alto, Nathan D. Burkett-Cadena, Cynthia C. Lord, Chelsea T. Smartt, C. Roxanne Rutledge Connelly, Jorge R. Rey

“…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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Control y Biología del Helecho Trepador Japonés (Lygodium japonicum) by Elsa D. Chevasco, Patrick J. Minogue, Kimberly K. Bohn, Francisco Escobedo

“…Bohn, and Francisco Escobedo, and published by the UF Department of School of Forest Resources and Conservation, November 2016. …”
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Genetic variability and association analyses of morphological and biochemical traits in Tamarindus indica L. clones by A. Mayavel1*, J. Padmanaban2, A. Nicodemus1, B. Nagarajan1, C. Bagathsingh1, M. Akshayasri1, G. Radha Krishnan 1 and M. Amaravel1

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A Novel Statistical Feature Analysis-Based Global and Local Method for Face Recognition by Mohammed Ahmed Talab, Suryanti Awang, Mohd Dilshad Ansari

“…The developed technique has achieved the accuracy of 94.54% when a random forest classifier is used, hence outperforming other techniques such as the gray-level co-occurrence matrix (GLCM), bag of word (BOW), and fuzzy local binary pattern (FLBP), respectively.…”
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Streptomyces griseiviridis sp. nov., a Novel “Modern Actinobacteria” isolated from Malaysia Mangrove Soil by Jodi Woan Fei Law, Loh Teng-Hern Tan, Vengadesh Letchumanan, Kar-Wai Hong, Hooi-Leng Ser, Bey-Hing Goh, Nurul Syakima Ab Mutalib, Kok-Gan Chan, Learn-Han Lee

“… A novel strain, Streptomyces griseiviridis MUM 136JT was recovered from a mangrove forest soil in Malaysia. The Gram-positive bacterium forms strong yellow aerial mycelium and moderate yellow substrate mycelium on ISP 2 agar. …”
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A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning by E. Sreehari, L. D. Dhinesh Babu

“…Later, we employed models such as decision trees, support vector machines, k-nearest neighbors, random forests, stochastic gradient descent, and Gaussian naive bayes to determine the type of cancer. …”
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Machine learning-assisted prediction of durability behavior in pultruded fiber-reinforced polymeric (PFRP) composites by Ammar A. Alshannaq, Mohammad F. Tamimi, Muath I. Abu Qamar

“…The results reveal that Decision Trees, Artificial Neural Networks, and Random Forests are the best models to predict behavior of pultruded composites under environmental exposure, which achieved R2 values of 0.9647, 0.9537, and 0.8970, respectively for the case of flexural strength. …”
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Somatic embryogenesis in Larix: the state of art and perspectives by V. N. Shmakov, Yu. M. Konstantinov

“…The industrial use of such genetically verified clone lines in forestry can significantly increase forest productivity compared to any conventional methods for improving tree crops that are available. …”
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An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks by Selvam Saravanan, Uma Maheswari Balasubramanian

“…The training time of distributed random forest algorithm is also studied by varying the number of cores in Apache Spark environment.…”
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Time Series Trend Analysis of Fire Frequency in Natural Resources Relative to Vegetation Canopy Cover using MODIS Data Products (Case Study: Lorestan Province) by Akram Alinia, Amir Gandomkar, Alireza Abasi

“…This range of vegetation generally corresponded to rainfed lands, weak pastures and low-density forest patches…”
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Impact of nutrition education on nutrition knowledge, attitudes, and practices among adolescent girls in Bogor, Indonesia by Widya Azhari Salma, Tande Ribka, Azmi Zaqia Zulfani Zahida, Ramadani Elvy, Rahmah Dinitya Khalishah, Fauziah Toruntju Ainun, Kustiyah Lilik, Anna Marliyati Sri, Hardinsyah, Cahya Alam Duta

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Conservation communautaire et changement de statuts du bonobo dans le Territoire de Bolobo by Victor Narat, Flora Pennec, Sabrina Krief, Jean Christophe Bokika Ngawolo, Richard Dumez

“…Bonobos are thus central to new rules and norms, including the creation of community defined protected forests. Secondly, whereas bonobos were previously widely seen as negative or unnecessary -because not eaten and associated to a bad omen- they are now considered as a driving force for local development. …”
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Using electro-inductive sensor to trace moving and non-moving objects tracked by S. S. Kolmogorova, S. V. Biryukov

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