Search Results (41)

In recent decades, access to powerful computational resources has brought about a major transformation in science, with supercomputers drawing significant attention from academia, industry, and governments. Among these resources, high-performance computing (HPC) has emerged as one of the most critical processing infrastructures, providing a suitable platform for evaluating and implementing novel technologies. In this context, the development of emerging computing technologies has opened up new horizons in information processing and the delivery of computing services. In this regard, this paper systematically reviews and classifies emerging HPC-related computing technologies, including quantum computing, nanocomputing, in-memory architectures, neuromorphic systems, serverless paradigms, adiabatic technology, and biological solutions. Within the scope of this research, 142 studies which were mostly published between 2018 and 2025 are analyzed, and relevant hardware solutions, domain-specific programming languages, frameworks, development tools, and simulation platforms are examined. The primary objective of this study is to identify the software and hardware dimensions of these technologies and analyze their roles in improving the performance, scalability, and efficiency of HPC systems. To this end, in addition to a literature review, statistical analysis methods are employed to assess the practical applicability and impact of these technologies across various domains, including scientific simulation, artificial intelligence, big data analytics, and cloud computing. The findings of this study indicate that emerging HPC-related computing technologies can serve as complements or alternatives to classical computing architectures, driving substantial transformations in the design, implementation, and operation of high-performance computing infrastructures. This article concludes by identifying existing challenges and future research directions in this rapidly evolving field. Full article

As new-energy vehicles (NEVs) gradually gain public attention, their carbon-reduction issues have become a focal point in academia. This study evaluates the carbon-reduction efficiency of NEVs in 21 Chinese provinces using an improved three-stage DEA model, analyzes spatial disparities with the Dagum Gini coefficient, and decomposes carbon-emission factors using the LMDI method. Results show that the overall carbon-reduction efficiency is low, with an average value of only 0.266. Significant differences exist in production- and consumption-stage efficiencies across regions. Shanxi Province performed the best, with efficiency scores of 1 in both stages, while the carbon-reduction stage showed the lowest efficiency, ranging between 0.2 and 0.3 in most regions. The central region exhibited the highest carbon-reduction efficiency, followed by the western and eastern regions, primarily influenced by intra-regional disparities. Energy intensity significantly suppresses carbon emissions, followed by energy structure, while economic development and population size positively contribute to carbon emissions. This study provides theoretical support for regional governments to formulate policies related to the NEV industry and offers practical guidance for its further development. Full article

Advancements in Assistive Technologies (ATs) have significantly improved the quality of life and autonomy for people with intellectual disabilities and autistic individuals, enhancing education, social interaction, employment, and mental health. Nevertheless, several barriers still emerge in the daily implementation of such technologies, highlighting the need to explore them in depth. Using a two-round Delphi method, we conducted a research study with an expert panel of 284 participants from 31 European countries, collecting quantitative and qualitative data. We tested ten future-oriented projections and gathered insights on participants’ backgrounds and attitudes towards ATs for this demographic. To enhance representation, experts from academia, service providers, industry, and disability organizations, as well as individuals with disabilities and their families, were included. Although the findings show strong consensus among experts on the positive impact and desirability of ATs for promoting the social inclusion of people with intellectual disabilities and autistic individuals, they also reveal differing perceptions across expert groups and identify two distinct future scenarios linked to different cultural, social, and economic hindrances. In this sense, our study provides diverse global perspectives, with the potential to help governing bodies understand the expectations, concerns, and needs related to ATs for often underrepresented groups–people with intellectual disabilities and autistic individuals in this case. Full article

Transition economies, on the one hand, grapple with a communist legacy; on the other hand, they seek the optimal institutionalization for knowledge generation, dissemination, and commercialization to compete globally. However, the incumbent knowledge of certain aspects of their innovation systems remains very limited. In particular, intra-organizational cultural relics of the past and their inter-organizational and, consequently, systemic implications require research. This study examines how interaction barriers among universities, industry, and government, stemming from intra-organizational cultures, impact structural change in the innovation system of Azerbaijan. Utilizing the TH model, interviews with 59 participants revealed that a “Statist” TH model in Azerbaijan hinders organic cultural development within organizations, leading to interaction issues among TH actors. Moreover, problems in inter-organizational communication pave the way for a systemic failure that necessitates government intervention, strengthening the “Statist” TH model. The findings increase the context sensitivity of the TH framework by exploring an understudied context and provide valuable insights relevant to other transition economies facing similar institutional legacies. Full article

Introducing polar functional groups into polyolefin chains through polar olefin monomer coordination (co)polymerization can directly and significantly improve the surface properties of polymer materials and expand their application range. Therefore, the related research has always received considerable attention from both academia and industry. Many experimental studies have been reported in this field, and molecular metal complexes have shown high catalytic activity and selectivity in polar olefin monomer polymerizations. Although considerable DFT calculations have also been conducted for better understanding of the (co)polymerization performance, the factors governing the activity, selectivity, and molecular weight of resulting polymers are still ambiguous. This review mainly focuses on the DFT studies of polar olefin monomer coordination (co)polymerization catalyzed by molecular metal complexes in recent years, discussing the chain initiation and propagation, the origin of polymerization activity and selectivity, and the specific role of additives in the (co)polymerization reactions. Full article

Solid-state hydrogen storage technology has emerged as a disruptive solution to the “last mile” challenge in large-scale hydrogen energy applications, garnering significant global research attention. This paper systematically reviews the Chinese research progress in solid-state hydrogen storage material systems, thermodynamic mechanisms, and system integration. It also quantitatively assesses the market potential of solid-state hydrogen storage across four major application scenarios: on-board hydrogen storage, hydrogen refueling stations, backup power supplies, and power grid peak shaving. Furthermore, it analyzes the bottlenecks and challenges in industrialization related to key materials, testing standards, and innovation platforms. While acknowledging that the cost and performance of solid-state hydrogen storage are not yet fully competitive, the paper highlights its unique advantages of high safety, energy density, and potentially lower costs, showing promise in new energy vehicles and distributed energy fields. Breakthroughs in new hydrogen storage materials like magnesium-based and vanadium-based materials, coupled with improved standards, specifications, and innovation mechanisms, are expected to propel solid-state hydrogen storage into a mainstream technology within 10–15 years, with a market scale exceeding USD 14.3 billion. To accelerate the leapfrog development of China’s solid-state hydrogen storage industry, increased investment in basic research, focused efforts on key core technologies, and streamlining the industry chain from materials to systems are recommended. This includes addressing challenges in passenger vehicles, commercial vehicles, and hydrogen refueling stations, and building a collaborative innovation ecosystem involving government, industry, academia, research, finance, and intermediary entities to support the achievement of carbon peak and neutrality goals and foster a clean, low-carbon, safe, and efficient modern energy system. Full article

This study empirically explores the Quadruple Helix model’s potential in facilitating an urgent open innovation project. By examining the life cycle of the project, developed during the COVID-19 pandemic crisis in Brazil, it reveals complex interactions among government, academia, industry, and civil society stakeholders, while also shedding light on the various risks arising from their dynamic collaboration. Employing an approach that combines case study analysis, risk assessment, and theoretical framework development, we unravel the project’s evolution, highlighting pivotal elements such as trust, collaboration, communication, agile mindset, stakeholder partnerships, scale, and logistics. Additionally, the study underscores concerns related to finance, time, reputation, and health, which warrant consideration. Risk analysis uncovers internal and external risks and categorizes thirty-two risks, with one deemed unacceptable, thus revealing valuable insights into stakeholders’ partnerships, institutional image, public equipment, manufacturing, project management, human resources, intellectual property, regulation, and sanitation risks. Building on these findings, we develop a new framework illustrating the management of the urgent open innovation project through the fast-paced Quadruple Helix formation. By exploring stakeholder collaboration and risk management, this research provides insights into the adaptability and speed required to successfully execute an emergency project, as well as presenting practical strategies for risk management and mitigation, significantly contributing to the domains of the Quadruple Helix and project management research. Full article

Despite its numerous benefits, many countries are slow in adopting building information modeling (BIM). As a result, policymakers are implementing different government initiatives (GIs) for enhancing BIM adoption globally. However, it is critical to exercise caution when implementing GIs due to each country’s specific requirements and rules. Having country-specific GIs can ensure that BIM is appropriately adopted and fits a country’s needs and problems. Therefore, this study aims to investigate the effectiveness of the GIs in enhancing BIM adoption in Saudi Arabia. Data from 101 industry professionals were analyzed using a mean ranking analysis, normalization method, exploratory factor analysis (EFA), and fuzzy synthetic evaluation (FSE). Five critical GIs for enhancing BIM adoption were identified: developing programs for improving BIM competencies, developing programs to increase BIM awareness and understanding, developing programs to integrate BIM into education curricula and academia, developing BIM-related contractual frameworks, and providing financial aid to reduce the cost of BIM adoption. The EFA results indicate that the GIs can be grouped into two underlying constructs: national policies and organizational strategies. The FSE results confirmed that all GIs are effective. The study findings can serve as a significant reference for industry practitioners and policymakers in assuring successful BIM adoption. Full article

The broad and extensive application of public-private partnership (PPP), as well as the divergent documented definitions and experiences, have led to a translucent perspective of PPP and strained academia and industry to reach a consensus on the major practice of this concept. Early contractor involvement (ECI), governance tools, and relational contracting are only a few of the frameworks attributed to PPP. This issue has received limited attention from researchers, despite the focus of review studies on different disciplines of PPP. Hence, this paper puts forward the idea of conducting a comprehensive review to not only shed light on the major practice of PPP but also provide a wider outlook on this concept based on the research carried out since 1979. A narrative review is initially accomplished to identify the major drivers and milestones that have contributed to the evolution of PPP. Employing bibliometric analysis in the following phase assists in conducting a multi-dimensional assessment of studies published within the last five decades. The economic and societal practices of PPP throughout its evolution path signified the dominant application of this concept as a business model. The bibliometric analysis revealed that PPP has contributed to various sectors, i.e., urban development, public infrastructure, transportation, health, and education, just to name a few. In addition, economic and organizational management of PPP was revealed as a major research stream that was accompanied by sustainable development. As a matter of fact, economic and environmental sustainability are the major cross-disciplinary elements that form an interplay between the drivers and attributes of PPP. Value for money (VfM), technology, and innovation, along with smart infrastructure (SI) and smart cities (SCs), are identified as the major directions for the future research agenda associated with PPP. Full article

Decentralized Autonomous Organizations (DAOs) have gained widespread attention in academia and industry as potential future models for decentralized governance and organization. In order to understand the trends and future potential of this rapidly growing technology, it is crucial to conduct research in the field. This research aims at a data-driven approach for the objective content analysis of big data related to DAOs, using text mining and Latent Dirichlet Allocation (LDA)-based topic modeling. The study analyzed tweets with the hashtag #DAO and all Reddit data with “DAO”. The results were from the identification of the top 100 frequently appearing keywords, as well as the top 20 keywords with high network centrality, and key topics related to finance, gaming, and fundraising, from both Twitter and Reddit. The analysis revealed twelve topics from Twitter and eight topics from Reddit, with the term “community” frequently appearing across many of these topics. The findings provide valuable insights into the current trend and future potential of DAOs, and should be used by researchers to guide further research in the field and by decision makers to explore innovative ways to govern the organizations. Full article

This state-of-the-art review is designed to provide a factual analysis of indoor air pollution in Pakistan. Primarily, the main sources of indoor air pollution and related air pollutants were analyzed. Key sources of indoor air pollution include household energy sources (biomass, wood, coal, tobacco, and low temperatures) producing particulate matter (PM), dust particles, smoke, COx, noxious gases, bioaerosols, airborne microflora, and flame retardants. According to the literature, rural regions of Pakistan using biomass indoor fuels have a high indoor PM concentration in the range of 4000–9000 μg/m³. In rural/urban regions, indoor smoking also leads to high PM_2.5 levels of ~1800 μg/m³, which can cause pulmonary infections. In hospitals, PM concentrations were detected up to 1000 μg/m³, causing repeated infections in patients. Indoor ingestion of dust containing polychlorinated biphenyl concentrations was observed at high levels (~8.79–34.39 ng/g) in cities; this can cause serious health effects such as cancer risks and a loss of working productivity. Moreover, indoor microflora and bacteria (~10,000–15,000 cfu m⁻³) in urban/rural regions cause respiratory/cancer risks. In this context, indoor air quality (IAQ) monitoring and management strategies have been somewhat developed; however, their implementation in Pakistan’s rural/urban indoor environments is still needed. Various challenges were identified for monitoring/regulating IAQ. There is a firm need for industry–academia–research cooperation and for the involvement of government/agencies to support indoor air pollution control/management and for intervention strategies. Full article

As the social and environmental roles of companies have been emphasized by various stakeholders, the concepts of CSR (corporate social responsibility), ESG (environmental, social, governance), and corporate citizenship have received a great deal of attention in academia and industry. To understand and distinguish corporate responsibility approaches in the literature, this study employs text mining techniques to comprehensively analyze the summary information of 1235 articles (i.e., title, abstract, and keywords) on CSR, ESG, and corporate citizenship. First, frequently occurring terms in text datasets related to CSR, ESG, and corporate citizenship are analyzed to extract conceptual commonalities and differences. Then, correlated topic modeling is applied to the collected text datasets to identify underlying topics widely discussed in CSR, ESG, and corporate citizenship related studies. The results of this study show that corporate citizenship is not only a high-level concept that encompasses ESG and CSR, but also a broad concept with missions that are associated with various societal areas. The findings from this study also reveal that employees, as the principal agents of corporate citizenship practice, are more critical than other stakeholders of corporate citizenship practice. Full article

Exoskeletons and exosuits (collectively termed EXOs) have the potential to reduce the risk of work-related musculoskeletal disorders (WMSDs) by protecting workers from exertion and muscle fatigue due to physically demanding, repetitive, and prolonged work in construction workplaces. However, the use of EXOs in construction is in its infancy, and much of the knowledge required to drive the acceptance, adoption, and application of this technology is still lacking. The objective of this research is to identify the facilitators, barriers, and corresponding solutions to foster the adoption of EXOs in construction workplaces through a sequential, multistage Delphi approach. Eighteen experts from academia, industry, and government gathered in a workshop to provide insights and exchange opinions regarding facilitators, barriers, and potential solutions from a holistic perspective with respect to business, technology, organization, policy/regulation, ergonomics/safety, and end users (construction-trade professionals). Consensus was reached regarding all these perspectives, including top barriers and potential solution strategies. The outcomes of this study will help the community gain a comprehensive understanding of the potential for EXO use in the construction industry, which may enable the development of a viable roadmap for the evolution of EXO technology and the future of EXO-enabled workers and work in construction workplaces. Full article

Research on historic preservation zones (HPZs) has recently attracted increasing attention from academia and industry. With eight Beijing typical HPZs selected, this study evaluates critical vitality characteristics and identifies the key influencing factors via multi-source data and machine learning technology. The vitality characteristics were identified from three dimensions: physical space vitality, cyberspace vitality, and sentiment degree. For influencing factors, 23 variables were constructed from four aspects (morphological, functional, visual, and traffic) using Computer Vision (CV), natural language processing (NLP) and Geographic Information System (GIS) techniques. Then, three vitality dimensions were introduced as responsive variables to establish three Random Forest Regression models. Lastly, each factor’s influence degree and direction on vitality were explained based on the feature importance and correlation analysis. Through this study, we have thoroughly examined the different influencing factors of vitality in HPZs and summarized the following academic findings: (1) Density of road intersections, the number of shops, and road impedance are the three of the most significant influencing factors that are negatively related to vitality. (2) Factors that have the highest impact on the sentiment degree are road impedance and the number of public infrastructures, which also negatively affect the population’s satisfaction. (3) The number of catering and entertainment amenities are critical factors that positively affect cyberspace’s vitality. In this study, all three models have adequately explained variables and generalization capability, which can be applied to other larger HPZs in Beijing. In addition, the findings of this study can also potentially provide insights for enhancing precinct vitality and the governance of HPZs in other cities. Full article

Energy determines the social, economic, and environmental aspects that enable the advancement of communities. For this reason, this paper aims to analyze the quality of the energy service in the Non-Interconnected Zones (NIZ) of Colombia. For this purpose, clustering techniques (K-means, K-medoids, divisive analysis clustering, and heatmaps) are applied for data analysis in the context of the NIZ to identify patterns or hidden information in the Colombian government data related to the state of the electricity service in these localities during the years 2019–2020. A descriptive statistical analysis and validation of the results of the clustering techniques is also carried out using R software. Through the implementation of clustering algorithms such as K-means, K-medoids, and divisive analysis clustering, potential areas for the development of renewable and alternative energy projects are identified, considering places with deficiencies in their current electricity service, higher consumption, or places with very low daily hours of electricity service. Additionally, relationships were identified in the dataset that can be considered as tools that would support decision-making for academia and industry, as well as the definition of guidelines or strategies from the government to improve energy efficiency and quality for these places, and consequently, the living conditions of the residents of Colombia’s NIZs. Full article