Search Results (250)

Banking has evolved from ancient times of using grain banks and temple lending to modern banking practices. The transformation of the banking sector has ensured that banks play the crucial role of facilitating faster and efficient service delivery. This paper traced the evolution of banking and examined associated disruptions, opportunities, and challenges. With the specific objective of influencing policy-oriented discussions on the future of banking, this study adopted a literature review methodology of integrating various sources, such as scholarly journals, policy reports, and institutional publications. Public interest theory and disruptive innovation theory underpinned this study. Findings revealed that banking has evolved from Banking 1.0 to Banking 5.0 due to disruptive factors which have been pivotal to the significant structural sector changes: Banking 1.0 (pre-1960s); Banking 2.0 (1960s to 1980s); Banking 3.0 (1980s–2000s); Banking 4.0 (2000s–2020s); and Banking 5.0 (2020s to the future). Despite the existence of opportunities in the transformation, challenges include regulations, skills shortages, legacy systems, and cybersecurity that must be addressed. This calls for a coordinated response from stakeholders, with banking’s future requiring collaborations as cashless economies, digital economies, and digital currencies take centre stage. Full article

Process simulation plays a crucial role in modern manufacturing, enhancing efficiency, decision making, and system optimization. However, its adoption varies across industries and regions, influenced by factors such as technological readiness, organizational culture, and workforce expertise. This study explores the application of process simulation in the Saudi manufacturing industry, investigating the extent of its use, key success stories, documented benefits, and barriers to adoption. Using a qualitative approach, semi-structured interviews were conducted with industry leaders and engineers to capture real-world insights into how simulation is implemented and perceived. Findings reveal that while simulation has led to measurable improvements in productivity, cost efficiency, and operational decision making, challenges such as technical constraints, resistance to change, and a shortage of skilled professionals hinder wider adoption. These insights not only reflect the current state of simulation in Saudi manufacturing but also suggest broader implications for industries in other regions facing similar challenges. Understanding the key drivers and barriers to simulation adoption can help shape policies, training programs, and investment strategies to maximize benefits of simulation in manufacturing globally. Full article

The increasing elderly population presents major challenges to traditional healthcare due to the need for continuous care, a shortage of skilled professionals, and increasing medical costs. To address this, smart elderly care homes where multiple residents live with the support of caregivers and IoT-based assistive technologies have emerged as a promising solution. For their effective operation, a reliable high speed network like 5G is essential, along with intelligent resource allocation to ensure efficient service delivery. This study proposes a deep reinforcement learning (DRL)-based resource management framework for smart elderly homes, formulated as a Markov decision process. The framework dynamically allocates computing and network resources in response to real-time application demands and system constraints. We implement and compare two DRL algorithms, emphasizing their strengths in optimizing edge utilization and throughput. System performance is evaluated across balanced, high-demand, and resource-constrained scenarios. The results demonstrate that the proposed DRL approach effectively learns adaptive resource management policies, making it a promising solution for next-generation intelligent elderly care environments. Full article

Background: Vaccine hesitancy is a major threat to public health. As part of efforts to increase vaccine uptake, the focus is on optimizing the quality of communication among healthcare workers. Physician shortages and workloads create time constraints, making communication interventions in primary care challenging. This study aimed to propose strategies to improve communication between general practitioners and vaccine-hesitant individuals. This narrative review addresses the specific needs of general practitioners for effective communication and proposes strategies to combat vaccine hesitancy in culturally and linguistically diverse regions. Methods: Systematic searches of EMBASE and PubMed were performed using terms related to vaccine hesitancy, communication strategies, primary care, and cultural diversity. Additionally, the websites of major health organizations were searched for relevant reports and guidelines. Selection criteria were based on the relevance and quality of the selected studies. Results: The findings highlight the importance of empathy, transparency, and personalized information in communication strategies. The need for communication training and addressing policy and workload barriers for healthcare providers is significant. The proposed strategy includes regular communication skills and cultural competency workshops, language training, the development of multilingual resources, implementation of telemedicine services, and active community engagement. Conclusions: Policy recommendations advocate for increased primary care resources, support from general practitioner unions, and the integration of digital tools. These strategies are essential to improve vaccine uptake and public health outcomes by enhancing the capacity of general practitioners to effectively engage with vaccine-hesitant patients. Full article

Because of the effects of climate change, a shortage of seeds from superior mother trees for forestry breeding programmes can occur. While biotechnological tools can help address this challenge, the benefits and drawbacks of each technique need to be evaluated. In this work, a comparative Pinus radiata plantlet production study was performed using two different approaches: seeds versus somatic embryos. For each procedure, the number of plantlets obtained was recorded, and the manual labour time was calculated. The skills and time required were higher for somatic embryogenesis, but so was the number of plantlets obtained: 3660 acclimatized somatic plantlets versus 1124 acclimatized zygotic plantlets. The number of different genotypes obtained was higher when germinating mature seeds, but somatic embryogenesis coupled with cryopreservation offers the advantage of having a backup for field-tested material. Additionally, analyses of carbohydrates, total protein and dry weight of somatic and zygotic embryos were carried out. These analyses revealed considerable differences between somatic and zygotic embryos but underlined the importance of high sucrose levels for germination in both systems. In conclusion, each technique offers advantages and disadvantages, and the choice will depend on the objective, the species and the value of the material to be propagated. Full article

The aim of this scoping review was to identify the attributes that have led female leaders and coaches to be successful in high-performance (HP) sport and uncover what may be missing elements aiding women wishing to advance in HP sport. To date, most research has focused on addressing the shortage of women in sports from the organizational perspective. This study investigates the challenges, and coping skills women have encountered on an individual level. Drawing attention to the skills and experiences of women who have been successful in attaining and maintaining their role in HP sport has the potential to help others advance in the field. Abstract screening (n = 411) and full-text reviews (n = 25) resulted in the inclusion of 16 studies. Included studies were conducted in the UK, Canada, Australia, the USA, and Europe, giving this review broad worldwide scope. Several areas of interest were revealed during data analysis: the challenges these women face working in the male dominated world of sport, how they faced and overcame those challenges and have maintained their role in HP sport, and the connectivity that has been established as a support mechanism for women in a leadership role. Lastly, these women discussed competency and knowledge of the sport as an important aspect of their tenure. What is absent from the literature, and exemplified in these data, is a clearly defined pathway into HP sport for the competent and knowledgeable female leader. The specific steps she can take are yet to be defined. Full article

This research examines the impact of the project ‘Development of Science Experiential Education Programs and Science Experiential Centres’, implemented by the Mobilis Science Center in Győr between 2017 and 2021. The professional and societal relevance of the program and research lies in the growing importance of STEM disciplines and careers worldwide in recent decades, ensuring a long-term supply of skilled workers. A vital tool for this is the development of curricula that meet the needs of the 21st century, as well as the innovation of teaching methods in science subjects. The research involves a review of the literature on experiential science teaching and subject attitudes, the role of science centers, and relevant project documents. The present research, involving 592 students, focused on attitudes toward technology and science, openness to STEM careers, and the experiences and memories of participants in the student lab theme days. The results of the statistical data analyses confirm the effectiveness of the experiential education methods used in the theme day sessions, as the students’ openness to STEM careers is higher for those who participated in the sessions compared to the non-participants. There are significant differences in the attitudes of girls and boys participating in the program toward science subjects. The results suggest that the success in stimulating interest in science was mainly due to the experiential nature of the sessions. Moreover, the research found that the project led to the strengthening of the participants’ personal and social skills. This study is the first to look at the impact of the project. The results shed light on how teaching STEM subjects using experiential pedagogical methods can contribute to the long-term effectiveness of Széchenyi István University’s enrollment efforts and lead to the economic success of companies in a region facing a significant labor shortage in STEM careers. Full article

This study explores the innovation barriers and implementation strategies within small and medium-sized manufacturing enterprises (SMEs) in the Mazowieckie Voivodeship of Poland. Despite their crucial role in the regional economy, these enterprises face significant hurdles that impede their growth potential and innovation capabilities. Using a mixed-methods approach, the research analyzes both quantitative and qualitative data from 426 manufacturing enterprises. The findings reveal that the primary barriers include limited access to capital, outdated technologies, and a shortage of skilled labor. Furthermore, the study identifies that while company size and age do not significantly influence the type of innovations introduced, external factors such as market reach and capital availability play critical roles. The study underscores the need for tailored policy interventions to support SMEs in overcoming these barriers and fostering an environment conducive to innovation. Full article

The integration of renewable energy technologies into the building sector is critical for achieving climate and energy targets, particularly within the framework of the European Union’s decarbonization policies. Building-integrated photovoltaics (BIPV) offer a promising solution by enabling the dual function of building envelope components and on-site electricity generation. However, the widespread adoption of BIPV faces significant barriers, including high initial investment costs, design and integration complexity, fragmented standardisation and a shortage of skilled labour. This study systematically identifies, evaluates and prioritises the key factors influencing the implementation of BIPV technologies using a hybrid SWOT (strengths, weaknesses, opportunities, threats) and Analytic Hierarchy Process (AHP) methodology. A comprehensive literature review and a modified Delphi method involving expert input were employed to select and rank the most relevant factors in each SWOT category. The results indicate that external factors—particularly regulatory requirements for energy efficiency, renewable energy adoption and financial incentives—are the most significant drivers for BIPV deployment. Conversely, competition from building-attached photovoltaics (BAPV), high investment costs and the complexity of integration represent the main barriers and threats, compounded by internal weaknesses such as a lack of qualified workforce and fragmented standardisation. The findings underscore the importance of targeted regulatory and financial support, standardisation and workforce development to accelerate BIPV adoption. This research provides a structured decision-making framework for policymakers and stakeholders, supporting strategic planning for the integration of BIPV in the construction sector and contributing to the transition towards sustainable urban energy systems. Full article

Background: Brain health is a growing public health priority due to the high global burden of neurological and mental disorders. Promoting brain health across the lifespan supports individual and societal well-being, creativity, and productivity. Objective: To address the need for specialized education in this field, the University of Bern developed a Certificate of Advanced Studies (CAS) in Brain Health. This article outlines the program’s rationale, structure, and goals. Program Description: The one-year, 15 ECTS-credit program is primarily online and consists of four modules: (1) Introduction to Brain Health, (2) Brain Disorders, (3) Risk Factors, Protective Factors and Interventions, and (4) Brain Health Implementation. It offers a multidisciplinary, interprofessional, life-course approach, integrating theory with practice through case studies and interactive sessions. Designed for healthcare and allied professionals, the CAS equips participants with skills to promote brain health in clinical, research, and public health contexts. Given the shortage of trained professionals in Europe and globally, the program seeks to build a new generation of brain health advocates. It aims to inspire action and initiatives that support the prevention, early detection, and management of brain disorders. Conclusions: The CAS in Brain Health is an innovative educational response to a pressing global need. By fostering interdisciplinary expertise and practical skills, it enhances professional development and supports improved brain health outcomes at individual and population levels. Full article

The construction industry has been troubled by a shortage of skilled labor and safety accidents in recent years. Therefore, more and more robots are introduced to undertake dangerous and repetitive jobs, so that human workers can concentrate on higher-value and creative problem-solving tasks. Nevertheless, although human–robot collaboration (HRC) shows great potential, most existing evaluation methods still focus on the single performance of either the human or robot, and systematic indicators for a whole HRC team remain insufficient. To fill this research gap, the present study constructs a comprehensive evaluation framework for HRC team performance in construction projects. Firstly, a detailed literature review is carried out, and three theories are integrated to build 33 indicators preliminarily. Afterwards, an expert questionnaire survey (N = 15) is adopted to revise and verify the model empirically. The survey yielded a Cronbach’s alpha of 0.916, indicating excellent internal consistency. The indicators rated highest in importance were task completion time (µ = 4.53) and dynamic separation distance (µ = 4.47) on a 5-point scale. Eight indicators were excluded due to mean importance ratings falling below the 3.0 threshold. The framework is formed with five main dimensions and 25 concrete indicators. Finally, an AHP-TOPSIS method is used to evaluate the HRC team performance. The AHP analysis reveals that Safety (weight = 0.2708) is prioritized over Productivity (weight = 0.2327) by experts, establishing a safety-first principle for successful HRC deployment. The framework is demonstrated through a case study of a human–robot plastering team, whose team performance scored as fair. This shows that the framework can help practitioners find out the advantages and disadvantages of HRC team performance and provide targeted improvement strategies. Furthermore, the framework offers construction managers a scientific basis for deciding robot deployment and team assignment, thus promoting safer, more efficient, and more creative HRC in construction projects. Full article

This study, based on engineering education accreditation standards, addresses the supply–demand imbalance in China’s cybersecurity talent cultivation by constructing a sustainable “education-industry-society” collaborative model. Through case studies at Huaihua University and other institutions, employing methods such as literature analysis, field research, and empirical investigation, we systematically explore reform pathways for an innovative cybersecurity talent development system. The research proposes a “three-platform, four-module” practical teaching framework, where the coordinated operation of the basic skills training platform, comprehensive ability development platform, and innovation enhancement platform significantly improves students’ engineering competencies (practical courses account for 41.6% of the curriculum). Findings demonstrate that eight industry-academia practice bases established through deep collaboration effectively align teaching content with industry needs, substantially enhancing students’ innovative and practical abilities (172 national awards, 649 provincial awards). Additionally, the multi-dimensional evaluation mechanism developed in this study enables a comprehensive assessment of students’ professional skills, practical capabilities, and innovative thinking. These reforms have increased the employment rate of cybersecurity graduates to over 90%, providing a replicable solution to China’s talent shortage. The research outcomes offer valuable insights for discipline development under engineering education accreditation and contribute to implementing sustainable development concepts in higher education. Full article

The shortage of skilled professionals in technical fields is further compounded by a lack of qualified teachers in STEM subjects, particularly in craft education, which is vital for developing technical competencies at the elementary level. The present study investigates the professionalisation of teachers in craft education and explores the prevalence and reasons for out-of-field teaching across three German federal states. The data presented herein were collected through an online survey administered in 2023 among teaching professionals in Mecklenburg-Vorpommern, Sachsen, and Thüringen. The questionnaire was disseminated via head teachers to 1467 elementary schools, yielding a self-selection sample of 284 craft education teachers. The survey incorporated both closed- and open-ended questions, encompassing inquiries into teacher qualifications, subject-specific competence, and lesson planning. Quantitative data were analysed descriptively. The evaluation of open-ended responses employed a content-structuring content analysis approach, utilising categories that were inductively developed. The findings indicate that a considerable proportion of craft education is taught by educators who lack formal qualifications, thereby giving rise to concerns regarding the quality of instruction. The underlying factors contributing to this phenomenon include teacher shortages, personal interests, prior experience, and limited professional development opportunities. The findings emphasise the pressing necessity for enhanced teacher education and targeted training programmes to bolster instructional quality in technically oriented subjects. Full article

This paper presents a Self-Learning Robotic System (SLRS) for healthcare assistance using Deep Imitation Learning (DIL). The proposed SLRS solution can observe and replicate human demonstrations, thereby acquiring complex skills without the need for explicit task-specific programming. It incorporates modular components for perception (i.e., advanced computer vision methodologies), actuation (i.e., dynamic interaction with patients and healthcare professionals in real time), and learning. The innovative approach of implementing a hybrid model approach (i.e., deep imitation learning and pose estimation algorithms) facilitates autonomous learning and adaptive task execution. The environmental awareness and responsiveness were also enhanced using both a Convolutional Neural Network (CNN)-based object detection mechanism using YOLOv8 (i.e., with 94.3% accuracy and 18.7 ms latency) and pose estimation algorithms, alongside a MediaPipe and Long Short-Term Memory (LSTM) framework for human action recognition. The developed solution was tested and validated in healthcare, with the aim to overcome some of the current challenges, such as workforce shortages, ageing populations, and the rising prevalence of chronic diseases. The CAD simulation, validation, and verification tested functions (i.e., assistive functions, interactive scenarios, and object manipulation) of the system demonstrated the robot’s adaptability and operational efficiency, achieving an 87.3% task completion success rate and over 85% grasp success rate. This approach highlights the potential use of an SLRS for healthcare assistance. Further work will be undertaken in hospitals, care homes, and rehabilitation centre environments to generate complete holistic datasets to confirm the system’s reliability and efficiency. Full article

Greenhouse horticulture plays an important role globally by producing nutritious fruits and vegetables with high resource use efficiency. Modern greenhouses are large-scale high-tech production factories that are increasingly data-driven, and where climate and irrigation control are gradually becoming more autonomous. This is enabled by technological developments and driven by shortages in skilled labor and the demand for improved resource use efficiency. In the Autonomous Greenhouse Challenge, it has been shown that controlling greenhouse cultivation can be done efficiently with intelligent algorithms. For an optimal strategy, however, it is essential that control algorithms properly account for crop responses, which requires appropriate sensors, reliable data, and accurate models. This paper presents the results of the 4th Autonomous Greenhouse Challenge, in which international teams developed six intelligent algorithms that fully controlled a dwarf tomato cultivation, a crop that is well-suited for robotic harvesting, but for which little prior cultivation data exists. Nevertheless, the analysis of the experiment showed that all teams managed to obtain a profitable strategy, and the best algorithm resulted a production equivalent to 45 kg/m²/year, higher than in the commercial practice of high-wire cherry tomato growing. The predominant factor was found to be the much higher plant density that can be achieved in the applied growing system. More difficult challenges were found to be related to measuring crop status to determine the harvest moment. Finally, this experiment shows the potential for novel greenhouse cultivation systems that are inherently well-suited for autonomous control, and results in a unique and rich dataset to support future research. Full article