Bringing Interdisciplinary Data Science Education Challenges into the Classroom by Zofia Bednarowska-Michaiel, Emma Uprichard

“…We argue that while data science education has traditionally focused on statistical and computational skills, these emerging challenges require urgent attention as interdisciplinary data science becomes increasingly computational, intelligent, and expansive. …”
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Transparency and reproducibility in invasion science by Fabio Mologni, Jason Pither

“…These features are evidently lacking in many science disciplines, including Ecology. In this discussion paper, we first report the findings of an assessment of 49 primary research studies that were part of a systematic mapping effort, showing that invasion science research exhibits the same shortfalls as ecology research more broadly. …”
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Bridging the Divide: An Interdisciplinary Analysis of Trust in Science by Gökçe Zeybek Kabakci, Umut Yener Kara, Gökçe Baydar Çavdar, Emre Toros

“…Substantially, we show that there are dominant recurring research themes across the disciplines, such as science communication, compliance with scientific advice, and public engagement. …”
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Emerging opportunities and challenges for the future of reservoir computing by Min Yan, Can Huang, Peter Bienstman, Peter Tino, Wei Lin, Jie Sun

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Preparing Graduates for the 21st Century Workplace: A Transdisciplinary Approach to Information Technology-Related Study Programs by Stephanie Swartz

“… This paper discusses the importance of integrating global virtual team projects into Information Technology (IT) and Computer Science curricula to enhance students’ cultural awareness and ability to collaborate across different time zones, as well as improve their skills in digital communication and virtual project management. …”
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Skin in the game: a review of computational models of the skin by Seda Ceylan, Didem Demir, Cayla Harris, Semih Latif İpek, Vasileios Vavourakis, Marco Manca, Sandrine Dubrac, Roman Bauer

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Computational Literary Studies in the Context of Contemporary Czech Literary Studies – Especially the Concept of the Corpus of Czech Novels by Richard Změlík

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Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation by Fabio Franchi, Francesco Zullo, Alessandra Galassi

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Effects of real-time EEG neurofeedback training on cognitive, mental, and motor performance in elite athletes: a systematic review and meta-analysis by Skalski Dariusz, Łosińska Kinga, Prończuk Magdalena, Tyrała Florentyna, Trybek Grzegorz, Cięszczyk Paweł, Kuliś Szymon, Maszczyk Adam, Pietraszewski Przemysław

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In-depth review of AI-enabled unmanned aerial vehicles: trends, vision, and challenges by Osim Kumar Pal, MD Sakib Hossain Shovon, M. F. Mridha, Jungpil Shin

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Literary-Cartographic Models in the Corpus of Czech Prose by Richard Změlík

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Quantum Congestion Game for Overcrowding Prevention Within Airport Common Areas by Evangelos D. Spyrou, Vassilios Kappatos, Chrysostomos Stylios

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Precise soliton solutions of the Landau-Ginzburg-Higgs equation via the Sardar sub-equation method by Ahmed Refaie Ali, Md. Nur Alam, Md. Fayz-Al-Asad, Mujahid Iqbal, Mohammad Hassan

“…These findings have significant implications across various scientific disciplines, including quantum mechanics, material science, and high-energy physics, further establishing the SSE method as an effective tool for solving nonlinear partial differential equations (PDEs).…”
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A novel controllability method on temporal networks based on tree model by Peyman Arebi

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A review of plant leaf disease identification by deep learning algorithms by Junmin Zhao, Laixiang Xu, Zizhen Ma, Juncai Li, Xiaowei Wang, Yunchang Liu, Xiaojie Du

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Guardians of giants: a bibliometric analysis of mahout-elephant relationships and management takeaways for the Nilgiris by Jaisridhar Palanivelan, Hariraj Nagarajan, Cinthia Fernandaz, Jasimudeen S, Senthilkumar Manivasagam, Shanmugam Rajagopal, Raja P, Vinothkumar Bhojan, Manivasakan S

“…Through a systematic review of 63 peer-reviewed articles from 2014-2024, spanning disciplines including animal welfare science, conservation biology, and veterinary medicine, this study identifies critical trends and knowledge gaps. …”
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A guide to neural ordinary differential equations: Machine learning for data-driven digital engineering by Joseph M. Worsham, Jugal K. Kalita

“…Advances in deep learning have impacted all areas of business, government and academia, and deep learning is expanding into domains that are beyond the scope of the standard Computer Science curriculum. One such domain is that of dynamical systems, optimal estimation and control which are studied in the neighboring disciplines of Engineering and Physics. …”
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Risk level prediction for problematic internet use: A digital health perspective by Youngjung Suh, Jinwon Yoo

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Strategic innovations and future directions in deep learning for engineering applications: a systematic literature review by Arianna G. Tobias, Javeed Kittur

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Topology of quasi divisor graphs associated with non-associative algebra by Muhammad Nadeem, Muhammad Kamran, Muflih Alhazmi, Mashaer Alsaeedi, Shreefa O. Hilali

“…These applications span multiple disciplines, such as algebra, combinatorics, computer science, and network theory. …”
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