AI as Sub-Symbolic Systems: Understanding the Role of AI in Higher Education Governance by Xiaomin Li, David A. Turner, Baocun Liu

“…This paper develops the argument that, in the application of AI to improve the system of governance for higher education, machine learning will be more effective in some areas than others. …”
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The Use of Humanoid Robots with Multilingual Interaction Skills in Teaching a Foreign Language: Opportunities, Research Challenges and Future Research Directions by Ayse Tuna, Gurkan Tuna

“…Adults generally struggle to learn a foreign language, but this is true of some students, too. …”
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Integrated strategies for biosurfactant production and scale-up: Advances in fermentation engineering and computational modelling by Alice Angel Solomon, Dhanya Vishnu

“…Additionally, application of computational tools like Density Functional Theory (DFT), Molecular Dynamics (MD), and Machine Learning (ML) is discussed for their potential for optimizing molecular structure, predicting interfacial performance, and speeding strain and process design. …”
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An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem by Skander Htiouech, Khalil Chebil, Mahdi Khemakhem, Fidaa Abed, Monaji H. Alkiani

“…The MILP-MPCT was designed using linear programming technique to build two objective functions that minimize the total time and energy consumed by UAVs under a set of constraints related to the MPCT problem. …”
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Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software. by Lana Minier, Jérémy Rouch, Bamdad Sabbagh, Frédéric Bertucci, Eric Parmentier, David Lecchini, Frédéric Sèbe, Nicolas Mathevon, Rémi Emonet

“…CoralSoundExplorer uses machine learning approaches and is designed to eliminate the need to extract conventional acoustic indices. …”
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Cognitive abilities predict naturalistic speech length in older adults by Patrick Neff, Burcu Demiray, Mike Martin, Christina Röcke

“…This paper addresses the role of social relationships in cognitive functioning among older adults, focusing on the real-life communication indicator—length of own speech—as a measure of social activity. …”
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Municipal system of art education for children in Yekaterinburg: Principles of sustainability and development by Elena V. Sokolova, Natal'ya V. Botalova

“…Children's art schools are the most important institution for the formation and preservation of culture, increasing the competitiveness of subjects of various levels - from the family to the state. The successful functioning of the system of art education for children in Yekaterinburg was the result of a set of management decisions based on the principles of sustainability and development. …”
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The legal rules of the European Union and the United States on artificial intelligence and human rights by Magdalena Butrymowicz

“…Moreover, it should be capable of learning from its mistakes and being free of the emotions associated with human relationships. …”
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Formation of the brand of a military university as a condition for increasing its competitiveness in the modern market of educational services by L. A. Saenko, Yu. S. Tsygankova

“…In the course of the study, specific features of branding in the field of education were identified, based on which the main ways to improve the tools for promoting the brand of a military university were proposed, allowing it to effectively compete with other educational organizations: focus on functioning in a system with a rich historical heritage and moral content; continuous monitoring of the professional path of university graduates; maintaining a decent level of professional training of the teaching staff; formation of comfortable learning conditions with high-quality material and technical base; creation of a favorable environment for the active life of students.…”
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“A creature inside me”: perceptions and representations of HIV among adolescents living with HIV in Malawi by Nadine Ammon, Mark Limmer, Alex Kaley

“…The adolescents imagined HIV as personified, harmful creature in their body with functional senses and gender identity. Those negative perceptions originated mainly from the local term used for HIV, HIV-related stigma and discrimination and HIV representations in hospital HIV books. …”
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Towards a Sustainable Disruptive Growth Model: Integrating Foresight, Wild Cards and Weak Signals Analysis by Rafael Popper, Yuli Villarroel, Raimund Popper

“…By combining quantitative metrics with strategic foresight, this framework enables decision-makers to preserve stability, sustain functionality, and adapt dynamically to change. …”
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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

“…Experiments on three standard benchmarks show consistent gains in functional correctness (pass@1/3/5) over conventional fine-tuning, yielding feedback that is both more accurate and easier for students to interpret. …”
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Anatomy education potential of the first digital twin of a Korean cadaver. by Seo Yi Choi, Dong Hyeok Choi, Sung Ho Cho, So Hyun Ahn, Seung Ho Han

“…The extended reality (XR) content uses the Photon Cloud network for real-time data synchronization and HoloLens 2 voice functionality. The metaverse platform supports user interaction through room creation and joining, with various tools for bone manipulation, color differentiation, and surface output. …”
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Consensus artificial intelligence-driven prognostic signature for predicting the prognosis of hepatocellular carcinoma: a multi-center and large-scale study by Wen Wen, Rui Wang

“…This study developed a consensus artificial intelligence-derived prognostic signature (CAIPS) by integrating ten machine learning algorithms (101 methods) across six multi-center HCC cohorts (n = 1110). …”
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Linguistic and didactic specificity of multimodal discourse: possibilities and effectiveness of creolized text application in English teaching by V. L. Malakhova

“…It becomes possible to clarify the main functions of creolized texts, the use of which contributes to the development of students’ competencies and increases their motivation and activity in English classes. …”
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Bioinformatic analysis of ferroptosis related biomarkers and potential therapeutic targets in vitiligo by Linli Liu, Lingli Deng, Li Guan, Yuan Hu, Qianying Li, Chunshui Yu

“…Utilizing machine learning approaches, including LASSO and SVM-RFE, we identified four key marker genes (ALOX5, SNCA, SLC1A4, and IL33) with strong diagnostic potential. …”
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Humans need auditory experience to produce typical volitional nonverbal vocalizations by Katarzyna Pisanski, David Reby, Anna Oleszkiewicz

“…Abstract Human nonverbal vocalizations such as screams and cries often reflect their evolved functions. Although the universality of these putatively primordial vocal signals and their phylogenetic roots in animal calls suggest a strong reflexive foundation, many of the emotional vocalizations that we humans produce are under our voluntary control. …”
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Hybrid LSTM–Attention and CNN Model for Enhanced Speech Emotion Recognition by Fazliddin Makhmudov, Alpamis Kutlimuratov, Young-Im Cho

“…Emotion recognition is crucial for enhancing human–machine interactions by establishing a foundation for AI systems that integrate cognitive and emotional understanding, bridging the gap between machine functions and human emotions. Even though deep learning algorithms are actively used in this field, the study of sequence modeling that accounts for the shifts in emotions over time has not been thoroughly explored. …”
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Development of accounting organization under the influence of technological changes by M.H. Berezivska

“…The introduction of new technologies provides not only the automation of calculations and data storage, but also allows you to integrate accounting processes with other functions of the enterprise, such as inventory management, the production process and financial analytics. …”
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Investigation of hydrogen embrittlement in steel alloys: mechanism, factors, advanced methods and materials, applications, challenges, and future directions: A review by Umme Javeria, Sung Jin Kim

“…This review provides a comprehensive overview of i) the mechanisms of HE in both surface and bulk regions of steel, ii) the factors influencing the severity of HE, iii) advanced analytical approaches–such as thermal desorption spectroscopy (TDS), density functional theory (DFT), machine learning (ML) atom probe tomography (APT), and others–for elucidating HE mechanisms, iv) effective methods to prevent or minimize HE, and v) practical applications in automotive, oil and gas, and marine structures. …”
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