The evolution of the internet has led to the emergence of social media (SM) platforms, offering dynamic environments for user interaction and content creation. Social media, characterized by user-generated content, has become integral to electronic communication, fostering higher engagement and interaction. This study aims to explore the utilization of SM marketing, particularly in Higher Education Institutions (HEIs), focusing on Széchenyi István University’s academic social network sites (SNS) as a case study to enhance student engagement and satisfaction. The primary objective of this study is to review recent academic literature on SM marketing, especially for HEI marketing, and investigate the potential of the University’s SNS platforms as a case study in increasing student engagement. First a systematic literature review was conducted using Scopus and Science Direct databases to analyze recent research in academic SM. Then the article examined the University’s website and SNS platforms using the Facepager program to collect and analyze posts’ content. The findings from the literature review and observation indicate the growing importance of SM in higher education marketing. The university’s use of various SM strategies, such as visual storytelling, multimedia content, blogs, and user-generated content, contributes to increased student engagement of the university’s values.

On the basis of the enlightenment of international engineering education accreditation for the reform and development of higher education in China, combined with the important measures of the national “double first-class” construction, new challenges have been proposed for innovative talent cultivation among engineering majors in the context of promoting national development. These challenges also promote the reform of science-oriented courses among engineering majors. As a core mandatory course for engineering majors, biochemistry plays a crucial role in the entire educational process at universities, serving as a bridge between basic and specialized courses. To address challenges such as limited course resources, insufficient development of students’ advanced thinking and innovation skills, and overly standardized assessment methods, the bioengineering major from Guilin University of Technology restructured the biochemistry course content. A blended teaching model termed “three integrations, three stages, one sharing”, was implemented. This effort has yielded significant results, providing a research foundation for constructing an innovative talent cultivation system that is oriented toward industry needs within modern industrial colleges. It also offers valuable insights into and reference points for the cultivation of engineering talents and curriculum reform in local universities.

In the history of public health, space has evolved through several stages driven by shifts in concepts of disease control. The history of public health is summarized by George Rosen in six phases: Origins (before 500 CE), Middle Ages (500–1500), Mercantilism and Absolutism (1500–1750), Enlightenment and Revolution (1750–1830), Industrialism and the Sanitary Movement (1830–1875), and the Bacteriological Era (1875–present). By integrating architectural sociology—a temporal lens examining the interplay between architecture, individuals, and society—this study investigates how architects historically responded to public health challenges, offering critical insights for contemporary healthy habitat design. Architecture not only addresses survival needs but also materializes societal consciousness. The progression of health-related cognition (e.g., germ theory), behavioural norms (e.g., hygiene practices), infrastructure systems (e.g., sanitation networks), and scientific advancements collectively redefined spatial paradigms. Architects constructed temples, thermae, lazarettos, Beitian Yangbingfang (charitable infirmaries), anatomical theaters, quarantine hospitals, tenements, mass housing, and biosafety laboratories. These cases exemplify the co-evolution of “Concept” (disease control ideologies), “Technology” (construction methods), and “Space” (built environments). By synthesizing centuries of public health spatial practices, this research deciphers the dynamic interplay among “Concept, Technology, and Space”. Leveraging historical patterns, we propose a predictive framework to refine future spatial strategies in anticipation of emerging health crises.

This study investigates the career expectations of individuals in Thailand’s emerging economy, emphasizing the critical factors that shape these expectations within the context of a rapidly evolving labour market in the digital era. A quantitative approach was employed, collecting data from 1230 Thai respondents through convenience sampling, utilizing a structured survey as the primary research instrument. Data analysis involved the use of percentages, means and logistic regression to provide a comprehensive understanding of the findings. The results indicate that factors such as gender, age, monthly income, professional identity, values, culture and technology usage (including devices like laptops, social media platforms, home internet access and usage hours) significantly influence career expectations. Understanding these influential factors is crucial for developing targeted strategies to enhance career satisfaction, preparedness and overall competitiveness in an increasingly globalized and digital economy. By addressing the unique needs and aspirations of the Thai workforce, particularly in this digital age, stakeholders can cultivate a more responsive and adaptive professional environment, ultimately contributing to national economic growth in the digital era.

Background: India’s rich educational heritage dates to ancient times, with popular institutions like Nalanda, Takshashila, and Banarasi-Kasi flourishing as early as the 6th century BC, which offered diverse courses spanning medicine, mathematics, astronomy, and more. Invasions by the Mughals and British during the 12th to 18th centuries disrupted India’s traditional education systems. Post-independence, India faced the challenge of transitioning from ancient to modern education. Remarkably, the country managed to preserve its popular traditional education through a strategic change management approach by the educational institutions. The Government of India has introduced in the National Education Policy 2020 (NEP 2020) in July 2020, to bring transformational reforms in school and higher education systems. In this manuscript, we have summarized the salient features of the NEP 2020 and the preparedness steps to its effective implementation in Indian educational institutions. Method: We have utilised standard databases like PubMed, Science Direct, or Google Scholar, and/or public domains and the NEP 2020 document for this literature survey. Value addition: NEP 2020 aims to ensure access, equity, quality, affordability, and accountability with more flexible curricular structure, and holistic approaches. Despite the COVID-19 pandemic’s impact, dynamic planning, and collaboration among public and private institutions, and industries supported the effective implementation of NEP 2020. Notably, the change management approach, which has been a constant throughout India’s educational journey, played a pivotal role in keeping pace with technological advancements and fostering growth in the higher education system in India.

The growth of mobile Internet has facilitated access to information by minimizing geographical barriers. For this reason, this paper forecasts the number of users, incomes, and traffic for operators with the most significant penetration in the mobile internet market in Colombia to analyze their market growth. For the forecast, the convolutional neural network (CNN) technique is used, combined with the recurrent neural network (RNN), long short-term memory network (LSTM), and gated recurrent unit (GRU) techniques. The CNN training data corresponds to the last twelve years. The results currently show a high concentration in the market since a company has a large part of the market; however, the forecasts show a decrease in its users and revenues and the growth of part of the competition. It is also concluded that the technique with the most precision in the forecasts is CNN-GRU.