Search Results (20)

Adopting building information modeling (BIM) within the architecture, engineering, and construction (AEC) industry presents an opportunity to tackle persistent challenges, such as chronic productivity deficits and emerging imperatives like sustainability. However, BIM implementation (BIMI) across European Union (EU) countries diverges due to different contexts and the complexity of BIM. This study aims to identify the main barriers to BIMI and recommend effective mitigation measures in Portugal, a late-adopting EU country. Initially, 28 BIMI barriers were identified through a literature review. Experts in a Delphi survey then selected 15 critical barriers. An interpretive structural modeling (ISM) model was developed with input from a focus group to clarify the hierarchical relationships among barriers, and an impact matrix cross-reference multiplication applied to a classification (MICMAC) analysis was performed to evaluate the barriers’ driving and dependence powers. The resulting main barriers to BIMI include a lack of evaluation mechanisms, ignorance of BIM benefits, a shortage of skilled professionals, limited experience and cooperation, resistance to change, and inadequate top management support. Finally, experts in a second focus group developed mitigation measures to address the main barriers while ensuring the measures affect the entire barrier system. These findings will assist researchers, policymakers, and practitioners in late-adopter EU countries in addressing these barriers effectively. Full article

Artificial intelligence is rapidly transforming quality assurance in healthcare, driving advancements in diagnostics, surgery, and patient care. This review presents a comprehensive analysis of artificial intelligence integration—particularly convolutional and recurrent neural networks—across key clinical domains, significantly enhancing diagnostic accuracy, surgical performance, and pathology evaluation. Artificial intelligence-based approaches have demonstrated clear superiority over conventional methods: convolutional neural networks achieved 91.56% accuracy in scanner fault detection, surpassing manual inspections; endoscopic lesion detection sensitivity rose from 2.3% to 6.1% with artificial intelligence assistance; and gastric cancer invasion depth classification reached 89.16% accuracy, outperforming human endoscopists by 17.25%. In pathology, artificial intelligence achieved 93.2% accuracy in identifying out-of-focus regions and an F1 score of 0.94 in lymphocyte quantification, promoting faster and more reliable diagnostics. Similarly, artificial intelligence improved surgical workflow recognition with over 81% accuracy and exceeded 95% accuracy in skill assessment classification. Beyond traditional diagnostics and surgical support, AI-powered wearable sensors, drug delivery systems, and biointegrated devices are advancing personalized treatment by optimizing physiological monitoring, automating care protocols, and enhancing therapeutic precision. Despite these achievements, challenges remain in areas such as data standardization, ethical governance, and model generalizability. Overall, the findings underscore artificial intelligence’s potential to outperform traditional techniques across multiple parameters, emphasizing the need for continued development, rigorous clinical validation, and interdisciplinary collaboration to fully realize its role in precision medicine and patient safety. Full article

The development and implementation of information systems strategy in multi-national corporations (MNCs) faces particular challenges—cultural differences and variations in work values and practices across different countries, numerous technology landscapes and legacy issues, language and accounting particularities, and differing business models. This article builds upon the existing literature and in-depth interviews with eighteen industry practitioners employed in six MNCs to construct an operational model to address these challenges. The research design is based on an inductive, qualitative approach that develops an initial conceptual framework—derived from the literature—into an operational model, which is then applied and refined in a case study company. The final model consists of change components and process phases. Six change components are identified that drive and underpin IS strategy—business strategy, systems projects, technology infrastructure, process change, skills and competencies, and costs and benefits. Five core process phases are recognized—review, align, engage, execute, and control. The model is based on the interaction between these two dimensions—change components and process phases—and an action list is also developed to support the application of the model, which contributes to the theory and practice of information systems deployment in MNCs. Full article

Spatial thinking skills are associated with performance, persistence, and achievement in science, technology, engineering, and mathematics (STEM) school subjects. Because STEM knowledge and skills are integral to developing a well-trained workforce within and beyond STEM, spatial skills have become a major focus of cognitive, developmental, and educational research. However, these efforts are greatly hampered by the current lack of access to reliable, valid, and well-normed spatial tests. Although there are hundreds of spatial tests, they are often hard to access and use, and information about their psychometric properties is frequently lacking. Additional problems include (1) substantial disagreement about what different spatial tests measure—even two tests with similar names may measure very different constructs; (2) the inability to measure some STEM-relevant spatial skills by any existing tests; and (3) many tests only being available for specific age groups. The first part of this report delineates these problems, as documented in a series of structured and open-ended interviews and surveys with colleagues. The second part outlines a roadmap for addressing the problems. We present possibilities for developing shared testing systems that would allow researchers to test many participants through the internet. We discuss technological innovations, such as virtual reality, which could facilitate the testing of navigation and other spatial skills. Developing a bank of testing resources will empower researchers and educators to explore and support spatial thinking in their disciplines, as well as drive the development of a comprehensive and coherent theoretical understanding of spatial thinking. Full article

Industry 5.0 emphasises social sustainability and highlights the critical need for personnel upskilling and reskilling to achieve the seamless integration of human expertise and advanced technology. This paper presents a methodological framework for designing personalised training programs that support personnel upskilling, with the goal of fostering flexibility and resilience amid rapid changes in the industrial landscape. The proposed framework encompasses seven stages: (1) Integration with Existing Systems, (2) Data Collection, (3) Data Preparation, (4) Skills-Models Extraction, (5) Assessment of Skills and Qualifications, (6) Recommendations for Training Program, (7) Evaluation and Continuous Improvement. By leveraging Large Language Models (LLMs) and human-centric principles, our methodology enables the creation of tailored training programs to help organisations promote a culture of proactive learning. This work thus contributes to the sustainable development of the human workforce, facilitating access to high-quality training and fostering personnel well-being and satisfaction. Through a food-processing use case, this paper demonstrates how this methodology can help organisations identify skill gaps and upskilling opportunities and use these insights to drive personnel upskilling in Industry 5.0. Full article

This paper presents an overview of EREMI, a two-year project funded under ERASMUS+ KA203, and its results. The project team’s main objective was to develop and validate an advanced interdisciplinary higher education curriculum, which includes lifelong learning components. The curriculum focuses on enhancing resource efficiency in the manufacturing industry and optimising poorly or non-digitised industrial physical infrastructure systems. The paper also discusses the results of the project, highlighting the successful achievement of its goals. EREMI effectively supports the transition to Industry 5.0 by preparing a common European pool of future experts. Through comprehensive research and collaboration, the project team has designed a curriculum that equips students with the necessary skills and knowledge to thrive in the evolving manufacturing landscape. Furthermore, the paper explores the significance of EREMI’s contributions to the field, emphasising the importance of resource efficiency and system optimisation in industrial settings. By addressing the challenges posed by under-digitised infrastructure, the project aims to drive sustainable and innovative practices in manufacturing. All five project partner organisations have been actively engaged in offering relevant educational content and framework for decentralised sustainable economic development in regional and national contexts through capacity building at a local level. A crucial element of the added value is the new channel for obtaining feedback from students. The survey results, which are outlined in the paper, offer valuable insights gathered from students, contributing to the continuous improvement of the project. Full article

Sustainable development necessitates that societies design activities to meet human needs while protecting the planet’s life-support systems in consideration of depleting natural resources and concern for the state of the resources and climate. Sustainable development emphasizes the conservation and enhancement of natural resources by modifying how they are utilized, highlighting the role of nations in meeting their basic needs for employment, food, energy, and water. Higher education institutions (HEI), such as universities, should be able to produce a workforce that satisfies the demand for competent stakeholders and contributes to the successful implementation of the United Nations Sustainable Development Goals (SDGs) by integrating Education for Sustainable Development (ESD) and sustainability principles into their institutional strategy and organizational culture. This research evaluates the sustainability consciousness of higher education students and the effect of ESD on higher education students in Qatar. The study employs the sustainability consciousness questionnaire (SCQ) to assess HEI students’ sustainable development knowledge, attitudes, and behaviors while considering educational system characteristics such as curriculum, community, and the campus. The questionnaire was distributed among students from different fields and universities in Qatar. Results were analyzed using statistical tools to show that over 80% grasp sustainability-related knowledge. This value gradually decreases in attitudes and behaviors based on evaluating the pro-sustainability student responses. Further, over 60% of the surveyed students indicate external factors excluding the educational system characteristics to have the most profound effect on providing and developing the student’s knowledge, attitudes, and behaviors towards sustainable development. Understanding the current state of sustainability education in HEI can lead to an improved preparation of the global youth with the necessary skills to meet the sustainability challenges and to be involved in establishing and sustaining long-term progress that can aid in achieving SDG goals and drive sustainability action. Full article

Digital Innovation Hubs (DIHs) play a key role in bolstering European companies to overwhelm innovation barriers and drive Europe as the world’s primary leader in the Industry 4.0 digital revolution; they are one-stop-shop ecosystems able to provide four main functionalities (test before investing, support to find investments, innovation ecosystems, and networking, skills and training). Even if a surge in their diffusion has been registered, their sustainability is still far from being well defined in a structured way. Several approaches and methods are available from literature to ground the sustainability plan of companies’ business. Among them, the first activity to be addressed is the value proposition (VP) analysis, and the most diffused approach is the Value Proposition Canvas (VPC); this paper proposes the application of the VPC (jointly used with other methods from the VP literature) to build the VP of the HUBCAP network (supporting European small and medium-sized enterprises in the adoption of model-based design methods and tools to support cyber-physical system technologies) per each of its four main customer segments (DIHs, academic partners and research and technology organizations, technology/tool providers and technology/tool users). Results highlight the need to characterize the analysis per each of these customers, open up new opportunities to build a structured business model of the network, and constitute a basis for assessing the potential synergies with similar DIH networks. The method proposed can be applied to any other DIH or network of DIH to define their specific VP, ground the strategy to reach their sustainability, and trigger collaborations with each of the four customer segments considered in the analysis. Full article

Symptoms of Attention Deficit Hyperactivity Disorder (ADHD) include excessive activity, difficulty sustaining attention, and inability to act in a reflective manner. Early diagnosis and treatment of ADHD is key but may be influenced by the observation and communication skills of caregivers, and the experience of the medical professional. Attempts to obtain additional measures to support the medical diagnosis, such as reaction time when performing a task, can be found in the literature. We propose an information recording system that allows to study in detail the behavior shown by children already diagnosed with ADHD during a car driving video game. We continuously record the participants’ activity throughout the task and calculate the error committed. Studying the trajectory graphs, some children showed uniform patterns, others lost attention from one point onwards, and others alternated attention/inattention intervals. Results show a dependence between the age of the children and their performance. Moreover, by analyzing the positions by age over time using clustering, we show that it is possible to classify children according to their performance. Future studies will examine whether this detailed information about each child’s performance pattern can be used to fine-tune treatment. Full article

Implementation of effective alcohol control policies is a global priority. However, at the global and national levels, implementing effective policies is still challenging, as it requires commitment from multiple stakeholders. This review provides a synthesis of barriers and facilitators to implementing effective alcohol control policies. We conducted a scoping review from two main databases: Scopus and Web of Science, and the grey literature from the World Health Organization’s website. We included any studies investigating barriers and facilitators to implementing four effective policies: Alcohol pricing and taxation, control of physical availability, alcohol marketing control, and drink-driving policy. Articles published between 2000 and 2021 were included. The search yielded 11,651 articles, which were reduced to 21 after the assessment of eligibility criteria. We found five main barriers: resource constraint; legal loopholes; lack of evidence to support policy implementation, particularly local evidence; low priority of policy implementation among responsible agencies; and insufficient skills of implementers. Facilitators, which were scarce, included establishing monitoring systems and local evidence to support policy implementation and early engagement of implementing agencies and communities. We recommend that national governments pay more attention to potential barriers and facilitators while designing alcohol control regulations and implementing effective policies. Full article

This study examined the relationship between social cohesion and the perceived interest in, the usefulness of, and the ease of use of an instructor-based driver assistance system in a sample of older adults. With the aging of the population, the use of technologies to support the driving skills of the elderly is expected, and it is necessary to clarify the conditions under which the elderly will be interested in these advanced technologies. Traditionally, social cohesion has been focused on as a function of instrumental and practical support in the lives of the elderly. Since social cohesion reflects the intention to help each other, it could be an opportunity to provide information on advanced driving skill techniques to older people who are becoming more difficult to drive. As an initial exploration, this study examined whether social cohesion was associated with the interest in, the usefulness of, and the ease of use of an instructor-based driver assistance system in 150 elderly people. The results showed that a greater social cohesion was significantly associated with these evaluations, and that a comprehension of the system also contributed. The possession of a license was significantly associated with interest in the program. These findings are an essential step toward the understanding of the roles of social cohesion and positive perception of advanced technology in older adults. Full article

Health systems all over the world are in a process of transition and may even need a paradigm shift for sustainable development. This is where activism may play a role. This study focused on why some physicians become activists and how these physicians have either achieved successes or failed to do so. This study is inspired by grounded theory. Semi-structured, in-depth interviews were conducted to evaluate the experiences of seven purposefully sampled physician-activists from the Netherlands. Our research suggests that activism originates from an awareness of problems in the area of health inequalities, resulting in moral discomfort combined with a strong drive to speak up against perceived failings, even when personal risks may be involved. Activists that were most successful in achieving political and health changes meandered effectively along the borders of the system, taking care to preserve ties with supporters within that system and, at the same time, taking a relatively isolated position while using strategies to oppose the system. Diverging too much from the system resulted in measures taken by the system to silence them. Successful activism may be regarded as a social and professional skill that may be learned. Full article

Growth of the information economy and globalization of labor markets will be marked by exponential growth in emerging technologies that will cause considerable disruption of the social and economic sectors that drive the global job market. These disruptions will alter the way we work, where we work, and will be further affected by the changing demographic characteristics and level of training of the available workforce. These changes will likely result in scenarios where existing workplace hazards are exacerbated and new hazards with unknown health effects are created. The pace of these changes heralds an urgent need for a proactive approach to understand the potential effects new and emerging workplace hazards will have on worker health, safety, and well-being. As employers increasingly rely on non-standard work arrangements, research is needed to better understand the work organization and employment models that best support decent work and improved worker health, safety, and well-being. This need has been made more acute by the SARS-CoV-2 global pandemic that has resulted in dramatic changes in employment patterns, millions of lost jobs, an erosion of many economic sectors, and widespread disparities which further challenge occupational safety and health (OSH) systems to ensure a healthy and productive workplace. To help identify new research approaches to address OSH challenges in the future, a virtual workshop was organized in June 2020 with leading experts in the fields of OSH, well-being, research methods, mental health, economics, and life-course analysis. A paradigm shift will be needed for OSH research in the future of work that embraces key stakeholders and thinks differently about research that will improve lives of workers and enhance enterprise success. A more transdisciplinary approach to research will be needed that integrates the skills of traditional and non-traditional OSH research disciplines, as well as broader research methods that support the transdisciplinary character of an expanded OSH paradigm. This article provides a summary of the presentations, discussion, and recommendations that will inform the agenda of the Expanded Focus for Occupational Safety and Health (Ex4OSH) International Conference, planned for December 2021. Full article

Paving the way to future mobility, teleoperation of vehicles promises a reachable solution to effectively use the benefits of automated driving as long as fully automated vehicles (SAE 5) are not entirely feasible. Safety and reliability are assured by a human operator who remotely observes the vehicle and takes over control in cases of disturbances that exceed the vehicle automation’s skills. In order to integrate the vehicle’s automation and human remote-operation, we developed a novel user-centered human-machine interface (HMI) for teleoperation. It is tailored to the remote-operation of a highly automated shuttle (SAE 4) by a public transport control center and based on a systematic analysis of scenarios, of which detailed requirements were derived. Subsequently, a paper-pencil prototype was generated and refined until a click-dummy emerged. This click-dummy was evaluated by twelve control center professionals. The experts were presented the prototype in regular mode and were then asked to solve three scenarios with disturbances in the system. Using structured interview and questionnaire methodology, the prototype was evaluated regarding its usability, situation awareness, acceptance, and perceived workload. Results support our HMI design for teleoperation of a highly automated shuttle, especially regarding usability, acceptance, and workload. Participant ratings and comments indicated particularly high satisfaction with the interaction design to resolve disturbances and the presentation of camera images. Participants’ feedbacks provide valuable information for a refined HMI design as well as for further research. Full article

Industry 4.0 and Industrial Internet of Things (IIoT) are paradigms that are driving current industrial revolution by connecting to the Internet industrial machinery, management tools or products so as to control and gather data about them. The problem is that many IIoT/Industry 4.0 devices have been connected to the Internet without considering the implementation of proper security measures, thus existing many examples of misconfigured or weakly protected devices. Securing such systems requires very specific skills, which, unfortunately, are not taught extensively in engineering schools. This article details how Industry 4.0 and IIoT cybersecurity can be learned through practical use cases, making use of a methodology that allows for carrying out audits to students that have no previous experience in IIoT or industrial cybersecurity. The described teaching approach is blended and has been imparted at the University of A Coruña (Spain) during the last years, even during the first semester of 2020, when the university was closed due to the COVID-19 pandemic lockdown. Such an approach is supported by online tools like Shodan, which ease the detection of vulnerable IIoT devices. The feedback results provided by the students show that they consider useful the proposed methodology, which allowed them to find that 13% of the IIoT/Industry 4.0 systems they analyzed could be accessed really easily. In addition, the obtained teaching results indicate that the established course learning outcomes are accomplished. Therefore, this article provides useful guidelines for teaching industrial cybersecurity and thus train the next generation of security researchers and developers. Full article