Search Results (1,518)

The rapid technological development caused by industrial revolutions (Industry 4.0 and 5.0) puts a lot of pressure on the education system that regulates initial and continuous human resource development. The present study undertakes a scoping review of the policy papers of WEF, OECD, and UNESCO to understand the future challenges faced by education. The online databases of these international organizations were used to identify the English versions of the education policy reports published between 2020 and 2025 using the keywords “skills policy”, “closing skills gap”, “future skills”, “drivers of change”, “trends transforming education”, and “future education”. After screening and performing a thematic analysis, we identified fifteen publications that met the inclusion criteria. Choosing a systematic-narrative hybrid strategy, we conducted a systemic scoping review using the PRISMA-ScR guidelines. We found that the analyzed WEF and OECD policy reports contribute the most to understanding global skills policy and global trends driving changes in education. Our review has also revealed that the WEF-developed Global Skills Taxonomy and Taxonomy Adoption Toolkit contribute to further skills policy improvement and its practical implementation in bridging the skills gap. Full article

The craft beer market is continually expanding, driven by the consumers’ demand for product diversification, which leads to innovation in the brewing industry. While traditional brewing focuses on consistency and high-volume efficiency using standard yeasts, craft brewing prioritizes small-batch experimentation and flavor complexity. Traditionally, Saccharomyces cerevisiae (Ale beer) and Saccharomyces pastorianus (Lager beer) yeast are used in brewing. The craft brewing revolution introduced the use of non-conventional yeast. These yeasts possess distinct technological characteristics compared to commercial starters, such as a richer enzyme profile. This biological diversity produces beers with novel, complex aroma profiles, and opens exciting avenues for flavor creation. Recently, non-alcoholic beer and low-alcoholic beer (NABLAB), and functional beer have become the new horizons for the application of non-conventional yeasts. In recent years, the brewing potential of these alternative yeasts has been extensively explored. However, some aspects relating to the interactions between yeast and raw materials precursors involved in the aroma of the final beer, and the management of yeasts in fermentation, remain unexplored. This review systematically outlines the various innovative ways in which non-conventional yeasts are applied in brewing, including healthier beer. Here, we explore how these yeasts can foster innovation in the beer sector and provide the possibility for sustainable development in contemporary brewing. Full article

Measuring technology is used in various ways in the logistics industry for defect inspection and loading optimization. Recently, in the context of the fourth industrial revolution, research has focused on measurement automation combining AI, IoT technologies, and measuring equipment. The 3D scanner used for field logistics measurements offers high performance and can handle large volumes quickly; however, its high unit price limits adoption across all lines. Entry-level sensors are challenging to use due to measurement reliability issues: their performance varies with changes in object location, shape, and logistics environment. To bridge this gap, this study proposes a systematic framework for geometry measurement that enables reliable length and width estimation using only a single entry-level distance sensor. We design and build a conveyor-belt-based data acquisition setup that emulates realistic logistics transfer scenarios and systematically varies transfer conditions to capture representative measurement disturbances. Based on the collected data, we perform robust feature extraction tailored to noisy, condition-dependent signals and train an artificial neural network to map sensor observations to geometric dimensions. We then verified the model’s performance in measuring object length and width using test data. The experimental results show that the proposed method provides reliable measurement results even under varying transfer conditions. Full article

Modular construction is generally defined as a typical offsite construction approach that can improve environmental sustainability throughout the building project lifecycle. Based on this situation, identifying the strengths, weaknesses, opportunities, and threats (SWOT) while promoting this sustainable construction method effectively during the urbanisation process is essential. Generally, modular construction is a sustainable building approach that can improve project sustainability, considering the environmental, social, economic, and technological aspects. A comprehensive understanding of the basic situation of prefabricated construction is worthwhile to ensure the widespread adoption of this offsite building method. By employing the SWOT analytical framework, this study adopts a literature review approach to conduct the investigation. In terms of the project results, the core strengths of using modular construction include improving environmental sustainability, enhancing management effectiveness, and improving construction safety and quality. The major weaknesses, on the other hand, are a lack of expertise and research, excessively high initial costs, and difficulties in stakeholder coordination. On the other hand, the major opportunities include promoting the SDGs and other policies, the Industrial Revolution 4.0, and urbanisation and building demands. The main threats, however, include substitute construction technologies, imperfect building codes and standards, and a lack of social and market acceptance. Further research can increase the sample size and collect more accurate firsthand data to validate the results of the current investigation, which can increase the effectiveness of promoting modular construction in the targeted regions. Full article

The Fourth Industrial Revolution has reshaped shared spaces in higher education, with manufacturing labs (Fab Labs) emerging as vital hubs for collaboration. However, a systematic framework for ensuring their long-term sustainability as shared resources is lacking. This study addresses this gap by conceptualizing the university Fab Lab as a ‘commons’ and applying Elinor Ostrom’s Institutional Analysis and Development (IAD) framework. We propose a new analytical framework for sustainable space sharing, reconstructed from Ostrom’s principles into three university policy domains: Resource Policy (Rp), Actor/User Policy (Ap), and Community/Governance Policy (C/Gp). To validate this framework, we conduct a case study of the ‘Idea Factory’ at Seoul National University, analyzing its operational policies in conjunction with global standards like the Fab Charter. The proposed framework provides practical guidance for establishing spatial policies and architectural plans that emphasize autonomy, adaptability, and polycentric governance. It offers a new paradigm for sustainability in university commons by integrating bottom-up community approaches with robust institutional design, providing a theoretical foundation for implementing effective sharing schemes in rapidly evolving educational environments. Full article

Since the Industrial Revolution, the increase in greenhouse gas emissions has led to a significant rise in global temperatures compared to the pre-industrial period. This development has heightened the importance of carbon pricing policies in combating climate change. This study aims to examine the effects of carbon pricing instruments, carbon taxes and emissions trading systems (ETS) on carbon dioxide (CO₂) emissions in OECD countries. A panel data analysis covering the period 2002–2023 was conducted, taking into account structural differences across countries as well as shared economic dynamics. The findings indicate that both carbon taxes and ETS mechanisms are effective in reducing CO₂ emissions in the long run. Moreover, while increased industrial activity contributes to higher emissions, a greater share of renewable and nuclear sources in the energy mix is found to support emission reduction. The study demonstrates that carbon pricing policies exert limited short-term effects but generate structural and lasting impacts in the long term. The findings are consistent with the existing literature and theoretical framework. Achieving permanent reductions in emissions requires a comprehensive policy approach that not only implements carbon pricing, but also strengthens energy efficiency and fuel substitution in the industrial sector while continuously increasing the share of clean sources in the energy supply. The analysis shows that carbon taxes and emissions trading systems (ETS) are effective in reducing emissions over the long run in OECD countries, and that their success varies depending on countries’ energy profiles and policy designs. These results underline that a well-designed and complementary carbon pricing framework is critical for achieving a sustainable transition. Full article

The transition to the 4th Industrial Revolution (4IR) in the electroplating industry necessitates intelligent, real-time monitoring systems to replace traditional, time-consuming offline analysis. In this study, we developed a cost-effective, automated measurement system for hexavalent chromium (Cr(VI)) in plating wastewater using an Arduino-based RGB sensor. Unlike conventional single-variable approaches, we conducted a comprehensive feature sensitivity analysis on multi-sensor data (including pH, ORP, and EC). While electrochemical sensors were found to be susceptible to pH interference, the analysis identified that the Red and Green optical channels are the most critical indicators due to the distinct chromatic characteristics of Cr(VI). Specifically, the combination of these two channels effectively functions as a dual-variable sensing mechanism, compensating for potential interferences. To optimize prediction accuracy, a systematic machine learning strategy was employed. While the Convolutional Neural Network (CNN) achieved the highest classification accuracy of 89% for initial screening, a polynomial regression algorithm was ultimately implemented to model the non-linear relationship between sensor outputs and concentration. The derived regression model achieved an excellent determination coefficient (R² = 0.997), effectively compensating for optical saturation effects at high concentrations. Furthermore, by integrating this sensing model with the chemical stoichiometry of the reduction process, the proposed system enables the precise, automated dosing of reducing agents. This capability facilitates the establishment of a “Digital Twin” for wastewater treatment, offering a practical ICT (Information and Communication Technology)-based solution for autonomous process control and strict environmental compliance. Full article

Zeolites and molecular sieves have demonstrated remarkable potential in adsorption, ion exchange, and separation processes since their industrial revolution in the 1950s. Zeolites and molecular sieves are materials of choice in separation applications because of their well-defined microporous architecture, remarkable shape-selectiveness, and tunable characteristics. The adsorption process can be evaluated using an isotherm to determine the feasibility of gas mixture separation for practical applications. We will also discuss the basic structure of zeolites and molecular sieves based on different metals, along with their distinctive properties in detail. The purpose of this review is to contextualize the importance of zeolites and molecular sieves in adsorption and separation applications. The review has been divided into groups based on how zeolites as well as molecular sieves are established in the adsorption and separation processes. The fundamental adsorption characteristics, structures, and various separation methods that make zeolites appealing for different uses are covered. By incorporating knowledge of adsorption mechanisms, isotherms, and material changes, this review discusses the most recent developments. To augment zeolite-based materials for certain pollutant removal applications, it offers a strategic framework for future study. In this review, we will comprehensively discuss a range of separation and adsorption applications, including wastewater purification, CO₂ capture from flue gases, and hydrogen storage. Furthermore, the review will explore emerging prospects of zeolites and molecular sieves in innovative fields such as energy storage, oil refining, and environmental remediation. Emphasis will be placed on understanding how their tunable pore structures, surface chemistry, and metal incorporation can enhance performance and broaden their applicability in sustainable and clean energy systems. Full article

Artificial intelligence (AI) is a core technology driving the Fourth Industrial Revolution and serves as a foundation for sustainable technological competitiveness. Despite the rapid growth of AI-related patent filings in Korea, the overall quality of these patents remains relatively low. This study examines the determinants of patent quality in university–industry (UI) collaboration and investigates how firms’ R&D capability moderates this relationship. Using 90,782 AI patents filed with the Korean Intellectual Property Office (KIPO) between 2013 and 2023, the Patent Quality Index (PQI) was constructed by integrating forward citations, patent-family size, and the number of claims through min–max normalization. Regression analyses reveal that UI collaboration per se has no significant average effect on PQI, but firms with stronger R&D capability achieve higher patent quality through collaboration. In addition, greater collaboration depth and accumulated prior experience significantly enhance PQI, while the negative effect of technological cognitive distance is mitigated by absorptive capacity. These findings demonstrate that sustainable innovation outcomes depend not merely on the quantity of collaboration but on the synergy between qualitative collaboration structures and internal R&D capabilities. By linking open innovation theory with absorptive capacity, this study provides empirical evidence for fostering sustainable innovation ecosystems in which universities and firms co-create technological value. Full article

The fourth industrial revolution, driven by the Energy Internet (EI), is having a profound impact on economic development and way of life. With the growth of EI networks, the integration of numerous energy devices poses challenges across different domains. To address this, we propose a self-adaptive NSGA-III algorithm (SA-NSGA-III) for multi-objective optimization of the EI topology, accounting for connectivity, robustness, and operational efficiency. We construct an initial scale-free topology based on real-world EI characteristics and optimize it while preserving its scale-free nature. The method incorporates an adaptive dynamic reference point generation strategy and an adaptive population selection mechanism. Experimental results demonstrate that SA-NSGA-III achieves a 29.5% fitness improvement, outperforming other multi-objective optimization algorithms in both optimization performance and convergence efficiency across various network scales and densities. Full article

In this epoch of the Fourth Industrial Revolution (4IR), digital advancement, technological initiatives, and advancements, as well as their imperative role, have improved universities’ performance and transformed business models, practices, and processes. This study aimed to systematically review the existing digital transformation discourses as the main axis for the higher education (HE) sector. It elucidates the required skill sets, benefits, barriers, and challenges brought about by digital transformation. The article commences by identifying the relevant literature on digital transformation in general, which is not confined to one methodology. It also includes the case studies that were conducted across the globe, the skills needed to drive the transformation agenda, the benefits, the barriers, and the challenges that impede digital transformation in the HE sector. This article found that the sector has been exploiting digital tools to improve performance, business processes, restructuring systems, structures, and practices. The myriad of digital transformation impacts, benefits, and skills to drive the digital transformation have been overshadowed by diverse barriers and challenges in the HE sector. Constraints such as inadequate funding, employee resistance, limited digital literacy, and insufficient infrastructure stand in opposition to the principles of the connectivity theory, which emphasises access, interaction, and the knowledge flow as prerequisites for effective digital integration. Full article

In recent years, the impacts of the new scientific and technological revolution on the industrial system and production modes have begun to emerge. Digital transformation is gradually being integrated into the production behaviors of manufacturing enterprises and has become a component of the micro-economy. We aim to find better methods for measuring digital transformation and to analyze its impact on both market performance and innovation performance within manufacturing enterprises. To achieve our goals, we employ an empirical study to examine the influence of digital transformation on market and innovation performance using panel data for Chinese listed manufacturing enterprises from 2012 to 2021. We emphasize digital transformation efficiency and affirm its role in relieving financing constraints. Our study shows that digital transformation effectively improves both the market and innovation performance of manufacturing enterprises. Moreover, it mitigates the financing constraint dilemma, resulting in performance enhancement. Heterogeneity analysis indicates that digital transformation has a more significant promotional effect on the market and innovation performance of large-scale and mature enterprises. Our research offers fresh perspectives for better understanding digital transformation, enriching the body of work on the impact of digital transformation in manufacturing enterprises and its underlying mechanisms. Full article

Innovation in the new energy industry serves not only as a key accelerator for the global green and low-carbon energy transition but also as a core driving force of the ongoing energy revolution. This study utilizes data on publications, patents, and the spatial distribution of representative innovation enterprises in the new energy industry of the Yangtze River Delta urban agglomeration from 2009 to 2023 to construct a multilayer science–technology–industry innovation network. Social network analysis is employed to examine its evolutionary dynamics and structural characteristics, and the Quadratic Assignment Procedure (QAP) is used to investigate the factors shaping intercity innovation linkages. The results reveal that the multilayer innovation network has continuously expanded in scale, gradually forming a multi-core radiative structure with Shanghai, Nanjing, and Hangzhou at the center. At the cohesive subgroup level, the scientific and technological layers exhibit clear hierarchical differentiation, where core cities tend to engage in strong mutual collaborations, while the industrial layer shows a hub-and-spoke pattern combining large, medium, and small cities. In terms of layer relationships, the centrality of the scientific layer increasingly surpasses that of the technological and industrial layers. Inter-layer degree correlations and overlaps also display a strengthening trend. Furthermore, differences in regional higher education scale, urban economic density, and geographic proximity are found to exert significant influences on scientific, technological, and industrial innovation linkages among cities. In response, this study recommends enhancing the leadership role of core cities, leveraging the bridging and intermediary functions of peripheral cities, and promoting application-driven cross-regional innovation collaboration, thereby building efficient science–technology–industry networks and enhancing intercity innovation linkages and the flow of innovation resources, and ultimately promoting the high-quality development of the regional new energy industry. Full article

Global warming has profoundly affected human socioeconomic development and ecological security. The high-latitude cold regions of China are among the most sensitive areas to global hydroclimatic changes, making it urgent to clarify the long-term climatic evolution in these regions. Based on tree-ring width data from 74 cores of Betula platyphylla collected from the northern slopes of the Greater Khingan Mountains, a 310-year (1715–2024) standardized chronology was established. Using this, the spring mean maximum temperature series for 1733–2024 (292 years) was reconstructed. The reconstructed temperature series shows good consistency with historical climate records, further revealing its evolutionary characteristics. The results show that the historical sequence of the average maximum temperature in spring in the study area has experienced 4 warm periods and 2 cold periods. The warming rate during the Little Ice Age (+0.042 °C/10 a) was significantly higher than that before the Industrial Revolution (+0.026 °C/10 a), indicating that atmospheric circulation anomalies such as AMO and PDO played a dominant role in the natural stage. In the early days of the Industrial Revolution, human activities against the backdrop of the Little Ice Age led to frequent climate fluctuations in this region. After 1958, the continuous intensification of human activities led to a sustained rise in temperature, with the warming rate soaring to +0.046 °C/10a (Cv = 18.7%). The temperature level in the middle of the 18th century was roughly the same as that in the early 21st century. This study reveals the characteristics of climate change in high-latitude cold regions, providing a reference for predicting extreme hot events in spring under the background of global warming. Full article