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Academia Green Energy, 2024
This paper investigates the pivotal role of innovations in human capital in propelling sustainable socio-economic development and transition to green energy technologies within the energy sector. Recognized as the linchpin of modern economies, the energy industry provides essential resources critical for industrial processes, transportation, and the overall functioning of society. Amid the global transition towards sustainable practices, the importance of not only advancing technological innovation but also enhancing human capital in this sector is increasingly acknowledged, especially in the light of the shift towards green and renewable energy alternatives. Employing a bibliometric approach, this study analyzes a collection of 1933 documents, encompassing research articles, conference papers, and book chapters, indexed in the Web of Science (WoS) database. Through a network cluster analysis of the textual and bibliometric data using the VOSViewer software, our findings suggest that investments in human capital are deemed crucial for fostering long-term sustainable economic growth within energy companies globally. Furthermore, the significance of human capital in the energy sector is observed to be escalating in prominence among researchers and academics, both within Russia and internationally. This growing interest underscores the vital role that skilled, knowledgeable, and innovative human resources play in navigating and driving the energy sector towards a more sustainable and renewable future
L'évangile de Marc, 2014
La séquence comprend cinq passages. Les deux premiers forment une sousséquence ainsi que les deux derniers ; ces deux sous-séquences se correspondent en parallèle. Le discours central est adressé à tous, disciples et foule réunis.
IJCSMC, 2021
Recent studies confirm that humans respond and react to music and that music has a high impact on person's brain activity. Many people likes to listen music often. Many of people have hobby to listen music. So music plays an important role in one's life. People react to music by their emotions. People tend to listen to music based on their mood and interests. This project focuses on creating an application to suggest songs for user based on their emotions by differentiating different kind of moods. This application is only based on moods and emotion depending on user's mood. For developing this application we are using Android Studio. This application is framed friendly to user.
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