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Abstract This research is concerned with the innovative use of AI in cross-cultural music learning, more particularly in the creation of a multimodal learning model that combines audio identification, image analysis, and...

Abstract Against the backdrop of urgent demand for efficient scheduling and precise services in university innovation and entrepreneurship ecosystems, this study proposes an optimization path for ecosystem construction i...

Abstract Sago (Metroxylon sagu Rottb.) is a traditional staple food and a strategic bioresource with growing relevance in Southeast Asia’s transition toward a sustainable bioeconomy. This study provides a bibliometric ...

Abstract Achieving sustainable economic growth in resource-dependent economies is vital to balancing competitiveness, attracting investment, and improving environmental performance. This study examines the asymmetric eff...

Abstract The purpose of this study is to provide a more comprehensive and updated analysis of how green finance enabled by financial technology (Fintech) and digital innovation, contributes to sustainability in economic ...

Abstract Matching college students with appropriate innovative training projects is a challenging task that often relies on static assignment techniques, which overlook individual interests, skills, and learning styles. ...

Abstract Artificial intelligence (AI) is emerging as a transformative tool for stormwater management with the potential to enhance resilience, efficiency, and equity across urban water systems. This paper examines the op...

Abstract Background Disruption of cellular proteostasis leads to the accumulation and persistence of pathogenic proteins that drive oncogenesis. Key oncogenic and tumor suppressor proteins are frequently dysregulated in ...

Abstract Achieving sustainability in resource-intensive industries such as cement production requires a transition away from synthetic plastic packaging toward biodegradable alternatives that reduce long-term environment...

Abstract This study seeks to address persistent challenges in traditional music education, particularly the subjectivity inherent in assessment criteria and the frequent delays in feedback, by harnessing the capabilities...