Pantothenate kinase 4 controls skeletal muscle substrate metabolism by Adriana Miranda-Cervantes, Andreas M. Fritzen, Steffen H. Raun, Ondřej Hodek, Lisbeth L. V. Møller, Kornelia Johann, Luisa Deisen, Paul Gregorevic, Anders Gudiksen, Anna Artati, Jerzy Adamski, Nicoline R. Andersen, Casper M. Sigvardsen, Christian S. Carl, Christian T. Voldstedlund, Rasmus Kjøbsted, Stefanie M. Hauck, Peter Schjerling, Thomas E. Jensen, Alberto Cebrian-Serrano, Markus Jähnert, Pascal Gottmann, Ingo Burtscher, Heiko Lickert, Henriette Pilegaard, Annette Schürmann, Matthias H. Tschöp, Thomas Moritz, Timo D. Müller, Lykke Sylow, Bente Kiens, Erik A. Richter, Maximilian Kleinert

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HESS Opinions: Towards a common vision for the future of hydrological observatories by P. Nasta, G. Blöschl, G. Blöschl, H. R. Bogena, S. Zacharias, R. Baatz, G. De Lannoy, K. H. Jensen, S. Manfreda, L. Pfister, L. Pfister, A. M. Tarquis, I. van Meerveld, M. Voltz, Y. Zeng, W. Kustas, X. Li, H. Vereecken, N. Romano

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Using Landsat time-series to investigate nearly 50 years of tree canopy cover change across an urban-rural landscape in southern Ontario by Mitchell T. Bonney, Yuhong He

“…We build a TCC time-series by training random forest models using visually interpreted TCC from high-resolution imagery. …”
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Exploring Cartographic Differences in Web Map Applications: Evaluating Design, Scale, and Usability by Jakub Zejdlik, Vit Vozenilek

“…For instance, Google Maps does not display forest symbols on its default map, which can reduce clarity, whereas Mapy.cz offers the most comprehensive range of analytical tools. …”
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How individual scores affect the final expert-based assessments of ecosystem services: Range and mean scores analysis of natural heritage supply maps by Hristina Prodanova, Desislava Varadzhakova

“…There are: (i) significant variations in scoring of Grasslands, Wetlands, Croplands, Rivers and lakes, and Urban ecosystems; and (ii) considerable similarities about Woodland and forest, Sparsely vegetated lands and Marine ecosystems. …”
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Recruitment in Swarm-Founding Wasps: Polybia occidentalis Does not Actively Scent-Mark Carbohydrate Food Sources by Benjamin J. Taylor, Erik V. Nordheim, Teresa I. Schueller, Robert L. Jeanne

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A Review on Natural Fiber Reinforced Polymer Composite and Its Applications by Layth Mohammed, M. N. M. Ansari, Grace Pua, Mohammad Jawaid, M. Saiful Islam

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Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital by Mohammad Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh, Yara Alkayed, Yasmin Al Trabsheh, Bahaaldeen Alshraideh

“…Various artificial intelligence techniques, namely, random forest, SVM, decision tree, naive Bayes, and K-nearest neighbours (KNN) were explored with particle swarm optimization (PSO) for feature selection. …”
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Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory by Manuela Ortega Monsalve, Mario Cerón-Muñoz, Luis Galeano-Vasco, Marisol Medina-Sierra

“…Transformations were applied to spectral and chemical data and the models used were Random Forest (RF) and Support Vector Machine (SVM). To select the best model, the values of the coefficient of determination (R2), root mean square error of prediction (RMSEP), and the ratio of performance to deviation (RPD) were considered. …”
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Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm by Van Quan Tran

“…To acquire this purpose, five single ML algorithms including K-nearest neighbors (KNN), support vector machine (SVM), light gradient boosting machine (LightGBM), random forest (RF), and gradient boosting (GB) are used to build ML models for predicting the permeability coefficient of soils. …”
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Prediction of inhibitory peptides against E.coli with desired MIC value by Nisha Bajiya, Nishant Kumar, Gajendra P. S. Raghava

“…Feature selection techniques, particularly mRMR, were utilized to refine our model inputs. Our Random Forest regressor built using default parameters achieved a correlation coefficient (R) of 0.78, R2 of 0.59, and RMSE of 0.53 on the validation set. …”
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Improved Support Vector Machine and Image Processing Enabled Methodology for Detection and Classification of Grape Leaf Disease by Arshiya S. Ansari, Malik Jawarneh, Mahyudin Ritonga, Pragti Jamwal, Mohammad Sajid Mohammadi, Ravi Kishore Veluri, Virendra Kumar, Mohd Asif Shah

“…Image denoising is conducted using the mean function, image enhancement is performed using the CLAHE method, pictures are segmented using the fuzzy C Means algorithm, features are retrieved using PCA, and images are eventually classed using the PSO SVM, BPNN, and random forest algorithms. The accuracy of PSO SVM is higher in performing classification and detection of grape leaf diseases.…”
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Marine Habitat Selection by Marbled Murrelets (Brachyramphus marmoratus) during the Breeding Season. by Teresa J Lorenz, Martin G Raphael, Thomas D Bloxton

“…The marbled murrelet (Brachyramphus marmoratus) is a declining seabird that is well-known for nesting in coastal old-growth forests in the Pacific Northwest. Most studies of habitat selection have focused on modeling terrestrial nesting habitat even though marine habitat is believed to be a major contributor to population declines in some regions. …”
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Application of Big Data Technology in the Impact of Tourism E-Commerce on Tourism Planning by Heqing Zhang, Tingting Guo, Xiaobo Su

“…This paper proposes a research strategy on the impact of tourism e-commerce on customized tourism in the EBD, including related theoretical research methods, random forest algorithms, support vector machine classification algorithms, and Bayesian estimation algorithms, which are used to customize tourism e-commerce in the EBD, and research experiment on the impact of tourism. …”
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Comparative study of imputation strategies to improve the sarcopenia prediction task by Shakhzod Karimov, Dilmurod Turimov, Wooseong Kim, Jiyoun Kim

“…Methods Following imputation, we utilized machine learning models, including logistic regression, gradient boosting, support vector machine, and random forest, to classify sarcopenia. The methodology encompassed rigorous data preprocessing, normalization, and the synthetic minority oversampling technique to address class imbalance and ensure unbiased model performance. …”
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PICEA ABIES: GERMINATION AND DEVELPOMENT OF SEEDLINGS IN DIFFERENT SUBSTRATE TYPES AND TREATMENTS by Cornel Negrușier, Orsolya Borsai, Steluța-Maria Sîngeorzan, Ervin Kremer, Alexandru Colișar, Vasile Ceuca

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Patrimonialisation du biome de las Caatinga : imaginaires paysagers en changement dans le semi-aride brésilien by Caio Augusto Amorim Maciel

“…This happened probably because of its rude and desiccated vegetal landscape - especially when compared to the Amazonian dense and lush rain forest. In consequence, its recognition as a natural area capable of cultural appreciation and protection was therefore delayed, leaving the caatinga off the list of biomes worthy of being classified as National Treasures by the Brazilian Constitution of 1988. …”
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COMPARISON OF METHODS FOR OBTAINING GENETIC DIVERSITY FOR BREEDING WINTER-HARDY WHEAT IN SIBERIA by V. E. Kozlov

“…Hereditary changes in wheat accessions in two consecutive generations both in the forest-steppe under the influence of gibberellins and in the steppe under the effect of moderate to severe frosts are likely to have a regulatory epigenetic nature.…”
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Effect of Environmental Factors on Germination and Emergence of Invasive Rumex confertus in Central Europe by Jeremi Kołodziejek, Jacek Patykowski

“…Rumex confertus is a biennial species native to Eastern Europe and Asia, where it thrives on meadow-steppes and glades in forest-steppe. This species has increased its range rapidly within central Europe, yet its biology is not well understood, which has led to poorly timed management. …”
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Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes by Yavar Pourmohamad, John T. Abatzoglou, Erica Fleishman, Karen C. Short, Jacquelyn Shuman, Amir AghaKouchak, Matthew Williamson, Seyd Teymoor Seydi, Mojtaba Sadegh

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