The Digital Sublime: Orientation Strategies for a Vertiginous World by Alejandra López Gabrielidis, Toni Navarro

“…Our intention is to research the extent to which art and design can function as mediators of scales that translate the digital sublime into concrete images that are more digestible, as well as easy to understand and perceive. …”
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South-Oriented PV Trackers: A Solution for Tree Plantations? by Jean-Baptiste Pasquier, Jules Chéron, Farida Amichi

“…We propose innovative tracking algorithms to mitigate shading effects during different seasons, preserving both electrical output and agricultural productivity. …”
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Methodology of the Financial Analysis of Digital Companies by V. G. Kogdenko

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Molecular modeling of the interaction of the dihydroquercetin and its metabolites with cyclooxygenase-2 by R. P. Terekhov, I. A. Selivanova

“…Molecular modeling is designed to further translate the research from the fundamental experimentation to the real clinical practice. …”
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Logging Components Extraction Method and Anisotropy Recognition Based on 3D Holographic LWD Instrument by Shuyu Guo, Jie Wang, Xiangyu Xing, Jiaqi Xiao, Xiao Liu

“…By integrating extracting algorithms with the specific antenna configuration of the 3D holographic LWD tool, high-fidelity extraction and complete separation of all nine electromagnetic logging components are achieved. …”
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Technology for Production of MSF-fuel – Direction Providing Transition to Circular Economy by B. M. Khroustalev, A. N. Pekhota, R. N. Vostrova, E. A. Pekhota

“…Some aspects of the conducted research on the production of multicomponent solid fuels are presented in the paper. …”
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Machine Learning-Based Approach for HIV/AIDS Prediction: Feature Selection and Data Balancing Strategy by Abdul Mizwar A Rahim, Ahmad Ridwan, Bambang Pilu Hartato, Firman Asharudin

“…Nine machine learning algorithms, including Decision Tree, Random Forest, XGBoost, LightGBM, Gradient Boosting, Support Vector Machine, AdaBoost, and Logistic Regression, are tested for classification. …”
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Two-Dimensional Numerical Method for Predicting the Resistance of Ships in Pack Ice: Development and Validation by Yan Huang, Ce Sun, Jianqiao Sun

“…This study lays a solid foundation for future research on autonomous ship navigation in pack ice.…”
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Analysis for models of interaction between road passenger transport operators by I. I. Lyubimov, N. N. Yakunin, N. V. Yakunina

“…The prerequisites for the creation of algorithms for the transition from one model to another and for evaluating their effectiveness are determined.Results. …”
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Fault Diagnosis of Wind Turbine Gearbox Based on Mel Spectrogram and Improved ResNeXt50 Model by Xiaojuan Zhang, Feixiang Jia, Yayu Chen

“…Through comparison with classical algorithms, we demonstrated that the research method proposed in this study exhibits better diagnostic capability in classifying wind turbine gearbox sound signals.…”
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Low-Light Image and Video Enhancement for More Robust Computer Vision Tasks: A Review by Mpilo M. Tatana, Mohohlo S. Tsoeu, Rito C. Maswanganyi

“…Computer vision encompasses numerous tasks, namely action recognition, object detection and image classification. Much research has been focused on solving these tasks, but one that remains relatively uncharted is light enhancement (LE). …”
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Using artificial intelligence for sustainable crop production – a comprehensive review with a focus on potato production by Magdalena Piekutowska

“…By utilizing big data analysis, precision monitoring, and automation, AI can significantly improve agricultural outcomes. For instance, AI algorithms can optimise the use of natural resources and chemical inputs, leading to improved yield forecasting and more effective management of diseases and pests that affect crops. …”
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Exploring the Effects of Pre-Processing Techniques on Topic Modeling of an Arabic News Article Data Set by Haya Alangari, Nahlah Algethami

“…This research investigates the impacts of pre-processing techniques on the effectiveness of topic modeling algorithms for Arabic texts, focusing on a comparison between BERTopic, Latent Dirichlet Allocation (LDA), and Non-Negative Matrix Factorization (NMF). …”
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Profitability Indicators: Critical Analysis and Applicability in Modern Conditions by S. A. Bondarenko, S. V. Pupentsova

“…Also, theoretical approaches to the calculation of invested capital were generalized in the course of the work. The research applied the methods of analysis, comparison, synthesis, classification, collection and generalization, logic, graphical and tabular display of information. …”
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Latest Trend and Challenges in Machine Learning– and Deep Learning–Based Computational Techniques in Poultry Health and Disease Management: A Review by Shwetha V., Maddodi B. S., Vijaya Laxmi, Abhinav Kumar, Sakshi Shrivastava

“…The advancement of machine learning (ML)– and deep learning (DL)–based algorithms are boons for poultry health and disease management. …”
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Transcriptome associated with single-cell analysis reveal the role of S-palmitoylation in coronary artery disease by Yiming Xing, Xianhe Lin

“…Abstract Coronary artery disease (CAD), a widespread cardiovascular ailment, exhibits a strong association with palmitoylation. This research aimed to elucidate the role of S-palmitoylation in CAD through bioinformatics, providing novel perspectives on the mechanism underlying CAD. …”
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Towards an Ontology of Information and Succeeding Fundamentals in Computing Science by Gerhard Luhn

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The clinical implications and interpretability of computational medical imaging (radiomics) in brain tumors by Yixin Wang, Zongtao Hu, Hongzhi Wang

“…Abstract Radiomics has widespread applications in the field of brain tumor research. However, radiomic analyses often function as a ‘black box’ due to their use of complex algorithms, which hinders the translation of brain tumor radiomics into clinical applications. …”
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Quantum metamaterials: Applications in quantum information science by Solomon Uriri, Yaseera Ismail, Mhlambululi Mafu

“…We conclude by suggesting possible future research directions.…”
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Extending the forecasting horizon of daily new COVID-19 cases using non-pharmaceutical measures and the effective reproduction number (Rt): A deep learning-based framework by Tuga Mauritsius

“…The inclusion of additional variables was found to diminish the predictive accuracy of DL algorithms.…”
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