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    Digital Globalization of Creative Industries

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    In this timely book, case studies from global researchers showcase how digital technologies are impacting creative industries worldwide. Providing up-to-date examples from across Africa, Asia, and Europe, authors explore how digital globalization has boomed in recent years, especially in fast-developing countries.Spanning music, television, film, fashion, opera, and gaming, chapters provide an in-depth study of the innovation and industry transformation caused by new technologies. Contributors analyze digital expansion in areas including the Caribbean, Indonesia, and Nigeria, highlighting groundbreaking tools such as AI, augmented and virtual reality, and streaming platforms, and their connection to the surge in creative industries.Presenting crucial insights for scholars and students of international business, innovation management, economics, and finance, this book is also a beneficial resource for researchers in creative industries and media studies.</p

    Teacher Profiles Emerging from Curriculum Design Through SSI Based Instruction

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    The purpose of the study was to investigate how 38 preservice science teachers’ teaching SSIbeliefs were changed during 14-week SSI based instruction. This study also examined howteacher profiles were developed accordingly changed teaching SSI beliefs. This study wasconducted in an Interdisciplinary Science Teaching Course, where science, technology,society, environment framework (STSE) and socioscientific issues (SSI) were integrated forthe first time. Curriculum design task applied three times during SSI based instruction wasused to collect data. 3 different teacher profiles as Profile A, Profile B, and Profile C weredeveloped at the end of the qualitative analysis. The results revealed that the curriculumdesign at the beginning of the course did not include SSI integration and had a traditionalperspective. Towards the end of the course, as a result of shifts from Profile A to Profile B andProfile C, only 9 people with a traditional perspective remained. The change in these teacherprofiles showed how PSTs’ beliefs were shifting from traditional to embracing SSI teaching.</p

    Optimizing Class Separability via Projection-Based Discriminative Basis Selection

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    In high-dimensional classification tasks, data from different classes often lie in a union of lower-dimensional subspaces. Identifying the basis vectors for each subspace that effectively differentiates between classes can enhance the explainability and accuracy of classification methods. This study proposes a novel approach that uses singular value decomposition to identify class-specific basis vectors that maximize the separability of classes. Instead of selecting the most significant n number of basis vectors using traditional heuristics for basis selection, the mean average precision for each basis vector is calculated, and the topperforming n basis vectors are selected. Furthermore, this study extends the methodology by integrating feature vector outputs from two different pre-trained deep learning models as input for classification evaluation in two different cases. The proposed methodology is validated through simulations, demonstrating its potential for improving classification in high-dimensional spaces

    A validation study of TechCheck-K in Türkiye and the role of age in month and gender on computational thinking skills

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    The aim of this study was to investigate psychometric related issues of the TechCheck-K instrument for assessing the computational thinking skills of Turkish kindergarteners as well as explore whether age in month and gender made a significant difference in their general and domain-specific computational thinking skills. For this purpose, data were collected from 352 kindergarten-aged children attending public kindergartens in T & uuml;rkiye. Item response and comparative analysis were used to analyse collected data. Item response results indicated that the TechCheck-K instrument had good psychometric properties, was suitable for use with Turkish kindergarten children and was more powerful in discriminating kindergarten children with moderate and low ability levels. It was also shown in the results that there was a significant difference between three age groups in months regarding participants' general computational thinking skills. Significant differences in the general computational thinking skills were also observed within boys and girls according to their age in month. Specifically, boys and girls in the older month groups had statistically significantly higher mean scores. There was a significant difference in the domain-specific powerful ideas of computational thinking skills with respect to age in month. Finally, implications and directions for future research were discussed

    Initial Design for Smart Micro Lunar Exploration Rovers for Intelligent Collaborative Tasking

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    Chang'e-8, the final mission of the fourth phase of China's lunar exploration project, is scheduled for launch around 2028. It will conduct detection and research on lunar multi-physical fields, regional geological profiles, lunar-based Earth observation, in-situ lunar sample analysis, on-site resource utilization, and experiments involving small closed terrestrial ecosystems in the lunar surface environment. This paper presents the initial design details for two smart micro lunar exploration rovers, which will serve as international payloads for the Chang’e-8 mission. The project aims to rapidly explore and map the rough terrain surrounding the Chang’e-8 landing site, to achieve autonomous real-time navigation and positioning, 3D reconstruction and 3D measurement. Two heterogeneous robots, each weighing approximately 5 kg, will assist the mission by investigating the local lunar geological profile and carrying out intelligent collaborative tasks. They will work in coordination to build a wide-view and high-precision lunar surface environmental map. The robust structure of these small robots will enable quick exploration of the surrounding environment within a large radius, and simultaneously achieving survival capability under extreme environmental conditions near the South Pole of the Moon. A primary performance indicator is the generation of a 3D point cloud map while traversing the area around the lander. The rovers will also carry an AI processor to provide full autonomy in task planning and operation. Near real-time computation for image interpretation, information extraction, and autonomous task scheduling will be performed by sharing information between the rovers. The two rovers will collaborate on navigation solutions, primarily relying on cameras and IMUs (Inertial Measurement Units) located on the rovers. AI-based image processing and the communication network between the rovers and the lander will further enhance navigation accuracy. Additionally, the rovers will serve as part of a mesh communication network among the mission lander, rovers and other robots. This paper discusses the initial rover design as well as the operation plan. An overview for the mission challenges, requirement analysis, required key technologies and the proposed solutions is given.</p

    Selective Synthesis of FAU- and CHA-Type Zeolites from Fly Ash: Impurity Control, Phase Stability, and Water Sorption Performance

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    Fly ash from coal-fired power plants is a promising precursor for zeolite synthesis due to its aluminosilicate-rich composition. However, its direct utilization is often limited by impurities and a low silicon-to-aluminum ratio (SAR). This study demonstrates the conversion of Class C fly ash from the Soma thermal power plant (Turkey) into FAU- and CHA-type zeolites through optimized acid leaching and hydrothermal synthesis. Acid treatment increased the SAR from 1.33 to 2.85 and effectively reduced calcium-, sulfur-, and iron-bearing impurities. The SAR enhancement by acid leaching was found to be reproducible among Class C fly ashes, whereas Class F materials exhibited a limited response due to their acid-resistant framework. Subsequent optimization of alkaline fusion-assisted synthesis enabled selective crystallization of FAU and CHA, while GIS and MER appeared under prolonged crystallization or higher alkalinity. SEM revealed distinct morphologies, with MER forming rod-shaped clusters, and CHA exhibiting disc-like aggregates. Water sorption analysis showed superior uptake for metastable FAU (~23 wt%) and CHA (~18 wt%) compared to stable GIS and MER (~12–13 wt%). Overall, this study establishes a scalable and sustainable route for producing high-performance zeolites from industrial fly ash waste, offering significant potential for adsorption-based applications in dehumidification, heat pumps, and gas separation

    Facile Synthesis and Photothermal Stability of Silica-Coated Gold Nanoworms

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    Silica-coated Au nanoparticles (NPs) have attracted significant attention due to their unique plasmon properties and biocompatibility. This is especially significant for NPs with their plasmon peaks in the near-infrared (NIR) and within the therapeutic window. In this study, we have synthesized worm-shaped Au NPs, called nanoworms (NWs) with an intense surface plasmon absorbance peak in the NIR, which were subsequently coated with silica. These NPs were then exposed to a nanosecond pulsed laser with varying fluences at a wavelength of 1064 nm and their UV–visible (vis) spectra were recorded to analyze the effects. Upon laser exposure, the longitudinal plasmon peaks exhibited a blue shift, which was more pronounced in the unmodified NWs. The silica-coated NWs retained their optical properties even at higher laser fluences. However, for both bare and silica-coated NWs, the required fluences to induce the shape modification were significantly higher than those previously reported for Au nanorods. These experiments highlight that the silica-coated NWs are highly promising for biomedical applications, e.g., for various therapeutic and diagnostic uses, where maintaining performance under higher laser fluences is crucial

    Albatross Horizon Europe Project - Report on Multi-level Policy Analyses: Nature-based Solutions and Climate Services (Deliverable 6.1)

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    The report aims to provide a comprehensive mapping of African environmental and climate change legislation (Acts, policies, strategies and plans), transboundary mechanisms and financial mechanisms in relation to the implementation of Nature-based Solutions at regional, national and local levels. The analysis focuses on five sub-Saharan African countries, including Ghana, Kenya, Madagascar, South Africa and Tanzania. Identification of gaps, needs, challenges and options of integration of climate services, ILK systems and consideration of gender and social inclusion approaches were mapped and analysed. The analysis is completed with a critical analysis of existing policy synergies between the European Union (EU) and Africa.</p

    Measurement of the (Formula presented.) and tH production rates in the (Formula presented.) decay channel using proton-proton collision data at (Formula presented.) TeV

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    An analysis of the production of a Higgs boson (H) in association with a top quark-antiquark pair (tt¯H) or a single top quark (tH) is presented. The Higgs boson decay into a bottom quark-antiquark pair (H → bb¯) is targeted, and three different final states of the top quark decays are considered, defined by the number of leptons (electrons or muons) in the event. The analysis utilises proton-proton collision data collected at the CERN LHC with the CMS experiment at s = 13 TeV in 2016–2018, which correspond to an integrated luminosity of 138 fb−1. The observed tt¯H production rate relative to the standard model expectation is 0.33 ± 0.26 = 0.33 ± 0.17(stat) ± 0.21(syst). Additionally, the tt¯H production rate is determined in intervals of Higgs boson transverse momentum. An upper limit at 95% confidence level is set on the tH production rate of 14.6 times the standard model prediction, with an expectation of 19.3−6.0+9.2. Finally, constraints are derived on the strength and structure of the coupling between the Higgs boson and the top quark from simultaneous extraction of the tt¯H and tH production rates, and the results are combined with those obtained in other Higgs boson decay channels

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