1. Implementation of the Science on a Sphere Visualization System as a Web ApplicationJurij Anžič, Ciril Bohak, 2025, independent scientific component part or a chapter in a monograph Abstract: SOS is a visualization system originally developed by the U.S. National Oceanic and Atmospheric Administration National Oceanic and Atmospheric Administration (NOAA) to project dynamic global datasets onto a spherical display, enabling audiences to explore complex Earth system processes in an intuitive and immersive way. While highly efective in museums, science centers, and classrooms, the traditional Science on a Sphere (SoS) hardware installation requires dedicated infrastructure, limiting its accessibility and scalability. This paper presents the design and implementation of a web-based application that reproduces the core functionality of the Science on a Sphere (SoS) system in a browser environment. The application utilizes modern web technologies to render real-time spherical visualizations of global datasets. Users can load, manipulate, and interact with datasets such as atmospheric phenomena, ocean currents, or planetary imagery without the need for specialized hardware. The system also supports interactive controls for rotating, zooming, and overlaying multiple data layers, extending the pedagogical potential of Science on a Sphere (SoS) by enabling personal exploration on laptops, tablets, and mobile devices. By transitioning Science on a Sphere (SoS) from a physical installation to a lightweight, browser-based platform, the proposed solution broadens access to scientific visualizations, promotes remote and classroom learning, and ensures that Science on a Sphere (SoS) content can be integrated into modern online education ecosystems.
Keywords: Science on a Sphere (SOS), Web-based visualization, WebGL, WebGPU, Geospatial data, Educational technology
Published in RUP: 29.01.2026; Views: 162; Downloads: 10
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2. Dataset of Uzbek verbs with formation and suffixesMaksud Sharipov, Jernej Vičič, 2025, other scientific articles Abstract: The main goal of this work is to create a dataset of Uzbek language verbs. This dataset stores information about which words verbs are derived from and with which affixes. The affixes are classified into distinct categories. With the help of this dataset, it is possible to determine from which parts of speech each Uzbek verb is derived and with which affixes. It also plays a key role in identifying verbs in Uzbek language texts and developing rule-based models for their analysis. Additionally, this dataset plays a key role in building various artificial intelligence models for the morphological and syntactic analysis of Uzbek language texts. Verbs play a crucial role in learning any language; therefore, students in schools and higher education institutions can also use this dataset during the learning process. The obtained dataset serves as a valuable resource for researchers and practitioners interested in Uzbek language processing tasks.
Keywords: verb phrase, Uzbek language, Uzbek web corpus, verb form, verb affixes
Published in RUP: 02.06.2025; Views: 811; Downloads: 13
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