Comparative Analysis of the Consumer Protection, Considering the Globalisation and Technological Changes, within Member States of the European Union by Iulian Viorel Braşoveanu, Laura Obreja Braşoveanu, Simona Maşcu

“…Recent globalization and technological changes have produced significant changes in consumption patterns, shopping online becoming increasingly more important. …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The results showed that the CNN-BiGRU-AM model achieved high accuracy with a Mean Absolute Percentage Error (MAPE) below 3%, indicating its effectiveness in capturing long-term patterns. The CNN helped extract local features and reduce noise, the BiGRU captured bidirectional temporal dependencies, and the Attention Mechanism allocated weights to the most relevant historical information. …”
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Signatures of Varying Climate on Geomorphic and Topologic Characteristics of Channel Networks by Aysan H. Bavojdan, Sevil Ranjbar, Dingbao Wang, Arvind Singh

“…Investigating the geomorphic and topologic properties of these networks is crucial for quantifying the roles of processes in creating distinct patterns of channel networks and developing models to predict the network dynamics under changing environment. …”
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Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…The proposed hybrid model integrates LSTM to identify temporal features of players’ motion and CNN to recognize spatial patterns across the court. …”
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Rapid change in Chernozem properties during their Holocene evolution: a case study of paleosols buried under kurgans in the pre-Ural steppe, Russia by Olga Khokhlova

“…An extensive chronosequence of Chernozem-type soils developed on loamy sands was studied in the pre-Ural steppe, Russia. …”
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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

“…First, a proposed end-to-end training methodology over normal data minimizes the reconstruction errors while learning and optimizing neural attention weights to focus on hidden features. Second, a novel encoding mechanism leverages NAF’s hierarchical structure to capture complex data patterns. …”
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Nutritional Assessment of Patients with Type-2 Diabetes in a Tertiary Level Hospital in a Low-and Middle-income Country by Rama Subba, Asmita Luitel, Rinku Joshi, Bhupal Baniya

“…This study was carried out to understand the dietary patterns of diabetic patients along with other factors including compliance and clinical features so that effective interventions can be taken for proper management of disease. …”
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V-STAR: A Cloud-Based Tool for Satellite Detection and Mapping of Volcanic Thermal Anomalies by Simona Cariello, Arianna Beatrice Malaguti, Claudia Corradino, Ciro Del Negro

“…Through its intuitive interface, V-STAR provides a comprehensive visualization of key volcanic features. The resulting analyses reveal hidden patterns in thermal data, contributing to improved disaster risk reduction strategies associated with volcanic hazards.…”
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Comparative Proteomic and Phosphoproteomic Analyses Reveal Molecular Signatures of Myocardial Infarction and Transverse Aortic Constriction in Aged Mouse Models by Fang Lin, Yue Ding, Xiaoting Liang

“…Understanding the molecular mechanisms underlying hypertension and CHD in aged populations is crucial for developing targeted therapies and improving clinical outcomes. …”
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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…This improvement is attributed to RFST's ability to effectively identify and utilize key textual features. In comparison, the baseline RFC and GRO-optimized Random Forest (RFGR) models achieve accuracies of 0.932 and 0.935, respectively, highlighting their limitations in capturing the intricate linguistic patterns associated with readability. …”
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Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

“…Regression methods, machine learning, and deep learning methods are used to learn different patterns from data and develop a consumption prediction model. …”
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Two Novel Multidimensional Data Analysis Approaches Using InSAR Products for Landslide Prone Areas by Hamit Beran Gunce, Bekir Taner San

“…Overall, the integration of InSAR with statistical and multidimensional analysis significantly enhances the detection and interpretation of ground deformation patterns in landslide-prone areas.…”
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Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistica... by Alexey Unagaev, Irina Korotkova, Natalia Efremova

“…Currently, methods for mapping agricultural crops have been predominantly developed for a number of the most important and popular crops. …”
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Research on Methods for the Recognition of Ship Lights and the Autonomous Determination of the Types of Approaching Vessels by Xiangyu Gao, Yuelin Zhao

“…Secondly, 23 spatio-semantic feature indicators are established to encode ship light patterns, and a multi-viewing angle dataset is constructed. …”
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Phenotypic plasticity evolves at multiple biological levels in response to environmental predictability in a long-term experiment with a halotolerant microalga. by Christelle Leung, Daphné Grulois, Leandro Quadrana, Luis-Miguel Chevin

“…Phenotypic plasticity, the change in the phenotype of a given genotype in response to its environment of development, is a ubiquitous feature of life, enabling organisms to cope with variation in their environment. …”
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HRD-negative high-grade carcinoma of the ovary in <i>BRCA2</i> pathogenic variant carrier by A. P. Sokolenko, S. V. Poletaeva, A. D. Shestakova, T. V. Gorodnova, I. V. Berlev, E. N. Imyanitov

“…In all samples, the pattern of chromosomal instability did not match the HRD profile and there was loss of the mutant copy of the BRCA2 gene. …”
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Improving epilepsy monitoring using long-term, in-home-bi-modal seizure monitoring device: clinical utilities and obstacles from a pilot study by Jaeso Cho, Young Jun Ko, Young Jun Ko, Yoon Gi Chung, Anna Cho, Hunmin Kim, Hunmin Kim

“…Patients used a wearable device developed for the study, featuring four-channel electroencephalogram and accelerometer sensors. …”
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Trispecific SEED antibodies engineered for neutrophil-mediated cell killing by Veronica Natale, Gergely Heves, Katharina Stadlbauer, Florian Rüker, Vanessa Siegmund, Lukas Pekar, Stefan Zielonka, Lars Toleikis, Stefan Becker, Gordana Wozniak-Knopp

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Molecular Adjuvant Potential of <i>GCSF</i> and <i>MCSF</i> in Starry Flounder Challenged with <i>Streptococcus parauberis</i> by Min-Young Sohn, Gyoungsik Kang, Kyung-Ho Kim, Ha-Jeong Son, Chan-Il Park

“…The <i>GCSF</i> gene (594 bp, 198 aa) features a conserved IL-6 domain, while the <i>MCSF</i> gene (621 bp, 207 aa) contains a predicted transmembrane region. …”
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Diagnostic criteria for idiopathic inflammatory myopathies. Problems of their optimization by O. A. Antelava, S. G. Radenska-Lopovok, E. L. Nasonov

“…Vancsa et al. (2010) who investigated the relationship between the clinical and therapeutic characteristics of IIM and positivity for myositis-specific and myositis-associated antibodies. The criteria developed by M.C. Dalakas (1991, 2003) are based on the specific immunopathological features of a histological pattern, which allow the differentiation of DM, PM, and inclusion-body myositis from other myopathic syndromes. …”
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