Search Results (6,840)

Dragon fruit stem disease significantly affects both the quality and yield of dragon fruit. Therefore, there is an urgent need for an efficient, high-precision intelligent detection method to address the challenge of disease detection. To address the limitations of traditional methods, including slow detection and weak micro-integration capability, this paper proposes an improved YOLOv8-G algorithm. The algorithm reduces computational redundancy by introducing the C2f-Faster module. The loss function was modified to the structured intersection over union (SIoU), and the coordinate attention (CA) and content-aware reorganization feature extraction (CARAFE) modules were incorporated. These enhancements increased the model’s stability and improved its accuracy in recognizing small targets. Experimental results showed that the YOLOv8-G algorithm achieved a mean average precision (mAP) of 83.1% and mAP50:95 of 48.3%, representing improvements of 3.3% and 2.3%, respectively, compared to the original model. The model size and floating point operations per second (FLOPS) were reduced to 4.9 MB and 6.9 G, respectively, indicating reductions of 20% and 14.8%. The improved model achieves higher accuracy in disease detection while maintaining a lighter weight, serving as a valuable reference for researchers in the field of dragon fruit stem disease detection. Full article

Undoubtedly, artificial intelligence (AI) tools are becoming increasingly common in people’s lives. The educational field is one of the most reflective on the importance of its adoption. Universities have made great efforts to integrate these new technologies into their classrooms, considering that every future professional will need AI skills and competencies. This article examines the importance of student perception and acceptance in adopting AI tools in higher education effectively. It highlights how students’ positive perceptions can significantly influence their motivation and commitment to learning. This research emphasizes that to integrate AI into university curricula successfully, it is essential to include its technologies in all areas of study and foster positivity among students regarding their use and training. This study’s methodology applied the validated instrument “Perception of Adoption and Training in the Use of Artificial Intelligence Tools in the Profession” to a sample of Mexican students. This exploratory analysis highlights the need for educational institutions to understand and address student perceptions of AI to design educational strategies that incorporate technological advances, are pedagogically relevant, and align with the students’ aspirations and needs. Full article

This paper delves into the fusion of artificial intelligence (AI) and emotional intelligence (EQ) by analyzing the frameworks of international sustainability agendas driven by UNESCO, WEF, and UNICEF. It explores the potential of AI integrated with EQ to effectively address the Sustainable Development Goals (SDGs), with a focus on education, healthcare, and environmental sustainability. The integration of EQ into AI use is pivotal in using AI to improve educational outcomes and health services, as emphasized by UNESCO and UNICEF’s significant initiatives. This paper highlights the evolving role of AI in understanding and managing human emotions, particularly in personalizing education and healthcare. It proposes that the ethical use of AI, combined with EQ principles, has the power to transform societal interactions and decision-making processes, leading to a more inclusive, sustainable, and healthier global community. Furthermore, this paper considers the ethical dimensions of AI deployment, guided by UNESCO’s recommendations on AI ethics, which advocate for transparency, accountability, and inclusivity in AI developments. It also examines the World Economic Forum’s insights into AI’s potential to revolutionize learning and healthcare in underserved populations, emphasizing the significance of fair AI advancements. By integrating perspectives from prominent global organizations, this paper offers a strategic approach to combining AI with EQ, enhancing the capacity of AI systems to meaningfully address global challenges. In conclusion, this paper advocates for the establishment of a new Sustainable Development Goal, SDG 18, focused on the ethical integration of AI and EQ across all sectors, ensuring that technology advances the well-being of humanity and global sustainability. Full article

As technology advances, the field of electrical and computer engineering continuously demands the introduction of innovative new tools and methodologies to facilitate the effective learning and comprehension of fundamental concepts. This research addresses an identified gap in technology-augmented education capabilities and researches the integration of virtual reality (VR) technology with real-time electronic circuit simulation to enable and enhance the visualization of non-observable concepts such as voltage distribution and current flow within these circuits. In this paper, we describe the development of our immersive educational platform, which makes understanding these abstract concepts intuitive and engaging. This research also involves the design and development of a VR-based circuit simulation environment. By leveraging VR’s immersive capabilities, our system enables users to physically interact with electronic components, observe the flow of electrical signals, and manipulate circuit parameters in real-time. Through this immersive experience, learners can gain a deeper understanding of fundamental electronic principles, transcending the limitations of traditional two-dimensional diagrams and equations. Furthermore, this research focuses on the implementation of advanced and novel visualization techniques within the VR environment for non-observable electrical and electromagnetic properties, providing users with a clearer and more intuitive understanding of electrical circuit concepts. Examples include color-coded pathways for current flow and dynamic voltage gradient visualization. Additionally, real-time data representation and graphical overlays are researched and integrated to offer users insights into the dynamic behavior of circuits, allowing for better analysis and troubleshooting. Full article

Introduction: Type 1 diabetes (T1D) is a disease that primarily occurs in pediatric populations. A school nurse (SN) can provide valuable support in the school setting for minors affected by this condition. Methods: The main objective of this study was to evaluate the impact of nursing care provided to adolescents and children with T1D using technological devices in school. Qualitative and quantitative outcomes considered in the included studies were collected and discussed. A systematic review was conducted in the PubMed, CINAHL, and Scopus databases and reported thought the PRISMA guidelines. Results: Eleven studies were included. The results showed that SNs need to enhance both their skills and organization to effectively manage young patients with T1D using technology. The response of both the pediatric population and their caregivers to the disease management by a SN has been positive. Conclusions: The management of chronic diseases is one of the most urgent public health issues, especially for Western healthcare systems. Proper management of patients with T1D at the school level is definitely an aspect that policymakers and healthcare managers should consider to improve the quality of life of this extremely vulnerable population, particularly those using technological management T1D. Full article

Affective intelligent tutoring systems (ATSs) are gaining recognition for their role in personalized learning through adaptive automated education based on students’ affective states. This scoping review evaluates recent advancements and the educational impact of ATSs, following PRISMA guidelines for article selection and analysis. A structured search of the Web of Science (WoS) and Scopus databases resulted in 30 studies covering 27 distinct ATSs. These studies assess the effectiveness of ATSs in meeting learners’ emotional and cognitive needs. This review examines the technical and pedagogical aspects of ATSs, focusing on how emotional recognition technologies are used to customize educational content and feedback, enhancing learning experiences. The primary characteristics of the selected studies are described, emphasizing key technical features and their implications for educational outcomes. The discussion highlights the importance of emotional intelligence in educational environments and the potential of ATSs to improve learning processes. This review identifies gaps in the current research and suggests future directions, including broader implementation across diverse educational settings and deeper integration of affective data to refine system responsiveness. Future research should investigate the integration of advanced natural dialogue modules and generative AI to create more sophisticated interfaces, underscoring the role of affective adaptation in educational technology. Full article

This paper aims to explore how four Bolivian small and medium-sized enterprises’ business has overcome the gaps in reliance on traditional small and medium-sized enterprises’ business models, i.e., to extract and sell raw unrefined natural resources in a local area, and instead make productive use of innovation inputs (technology, higher-educated people) by innovating their business models. We were particularly interested in how the small and medium-sized enterprises could manage to develop their business models in relation to the socio-cultural, economic, and technological contexts in a lower middle-income country such as Bolivia. We employ an exploratory multiple case study. The study’s results show that the four selected small and medium-sized enterprises’ business model innovation processes followed two different business model innovation patterns, a technology-driven pattern and market-driven pattern shaped by the macro-level factors of availability of natural resources, the informally organized economy, regulations, and access to higher education resources. The paper ends with presenting the managerial, policy, and theoretical implications of the study. Full article

The primary objective of this study is to enrich students’ learning experiences by integrating “Experiential Learning Methods” with “Green Patent Strategies”. This study categorizes experiential learning into four distinct modules, each systematically analyzed with the inclusion of four variables. These modules comprise Module 1: Reflective Observation, focusing on the “Corporate Sustainability Policy” variable; Module 2: Abstract Conceptualization, centering on the “Business Model Analysis” variable; Module 3: Active Experimentation, emphasizing the “Patent Strategy Layout” variable; and Module 4: Concrete Experience, delving into the “Case Analysis” variable. Within the “Patent Strategy Layout” module, additional depth is provided through subtopics such as “Green Patents”, “Keywords for Patent Application Writing”, “Zero-Carbon Patent Search Technology”, and “Enterprise Detection and Operation Analysis”, contributing to the thoroughness of the research analysis. The survey results indicate that students have attained a lucid understanding of sustainability-related subjects, including “Business Model Analysis”, “Corporate Sustainability Policy”, and “Patent Strategy Deployment”. Practical exercises have further elevated their comprehension of green patent strategies. The overarching goal of this study is to stimulate inspiration for future curriculum designs that seamlessly integrate sustainability elements, fostering interdisciplinary learning opportunities for students within the framework of sustainable education. Full article

This article presents the results of the research “post-pandemic education: understanding of analogic education and digital education from the perspective of educational institutions and teachers in Brazil and Germany”, whose main objective is to analyze how teachers and educational institutions mobilize and position themselves for the expansion of digital education practices. The following methods were used: documentary research with the German state secretariats of education, as well as documentary analysis of educational policies aimed at the implementation of digital information and communication technologies in compulsory education in Germany. We then proceeded to construct a large-scale survey to be answered by teachers of distinct levels of education. We contacted around 9400 compulsory education institutions in the three largest German states in terms of population. As a result, in general, teachers understand the importance of digital technologies in student education and demonstrate knowledge of the policies established by public agencies of the state. The mobilizations around digital pedagogical practices reveal the importance of considering teachers’ and students’ knowledge about technologies inside and outside the school context. The results allow us to understand the place that digital technologies occupy in the daily teaching routine. Full article

Silicon carbide (SiC) MOSFETs exhibit superior performance compared to traditional silicon (Si) MOSFETs, characterized by faster switching speeds, lower on-resistance, higher breakdown voltage, and greater operational temperature tolerance. These attributes make SiC MOSFETs highly suitable for applications in electric vehicles, charging stations, and mobile devices. However, their rapid switching speed can intensify current and voltage overshoot and oscillations during device switching, leading to increased device losses or potential damage. To address this issue, this paper proposes a current-type active gate drive (AGD) circuit. The circuit first detects the rate of change in the drain current and drain-source voltage. Subsequently, it employs an analog amplifier circuit and adjustable drive resistors to decelerate the rate of change in the drain-source voltage and drain current. As a result, overshoot and oscillation in the drain-source voltage and drain current are mitigated. Experimental results demonstrate that the proposed AGD circuit can reduce drain current overshoot by 60%, drain-source voltage overshoot by 15.38%, and waveform oscillations. Additionally, the AGD circuit decreases conduction and turn-off losses by 24% and effectively mitigates electromagnetic interference (EMI) issues within the frequency range of 0.1 to 3 MHz. Full article

This study confronts the ambiguous concept of sustainability within contemporary art and design, seeking to define and operationalize it through an interdisciplinary lens. By synthesizing philosophical, technological, and artistic methodologies, this research utilizes qualitative analysis and detailed case studies to evaluate the sustainable attributes of modern decorative arts. Focusing on the integration of nature and technology, the investigation spans various artistic disciplines, critically assessing their contributions to sustainable practices. The results indicate that an innovative use of materials and avant-garde design approaches significantly advance sustainability, highlighting the role of contemporary art in promoting environmental consciousness and sustainability in policy-making. Conclusively, in this paper, a paradigm shift in art and design education and policy is argued for, advocating for a proactive engagement with sustainability that extends beyond traditional artistic boundaries, thus providing a framework for future sustainable development strategies in the arts. This study offers a comprehensive model for understanding and implementing sustainability that could influence future artistic and educational practices globally. Full article

The experiences of underrepresented women and ethnic minorities in computer science (CS) fields are at the heart of understanding the factors that impact the critical transitions students face when entering into Science, Technology, Engineering, or Mathematics (STEM) careers. The research, conducted using a grounded theory approach, gauges student and teacher perspectives, specifically investigating minoritized student perspectives that influence their entrance and continuation into an educational pathway. The study’s outcomes underscore the crucial roles of (1) Student Family Encouragement, (2) School and Community Engagement, and (3) Professional/Teacher Mentorship as critical junctions that school districts should be aware of when creating student pathways into college and career, particularly for underrepresented groups. Full article

Aim of the Study: To assess how virtual reality (VR) patient-specific simulations can support decision-making processes and improve care in pediatric urology, ultimately improving patient outcomes. Patients and Methods: Children diagnosed with urological conditions necessitating complex procedures were retrospectively reviewed and enrolled in the study. Patient-specific VR simulations were developed with medical imaging specialists and VR technology experts. Routine CT images were utilized to create a VR environment using advanced software platforms. The accuracy and fidelity of the VR simulations was validated through a multi-step process. This involved comparing the virtual anatomical models to the original medical imaging data and conducting feedback sessions with pediatric urology experts to assess VR simulations’ realism and clinical relevance. Results: A total of six pediatric patients were reviewed. The median age of the participants was 5.5 years (IQR: 3.5–8.5 years), with an equal distribution of males and females across both groups. A minimally invasive laparoscopic approach was performed for adrenal lesions (n = 3), Wilms’ tumor (n = 1), bilateral nephroblastomatosis (n = 1), and abdominal trauma in complex vascular and renal malformation (ptotic and hypoplastic kidney) (n = 1). Key benefits included enhanced visualization of the segmental arteries and the deep vascularization of the kidney and adrenal glands in all cases. The high depth perception and precision in the orientation of the arteries and veins to the parenchyma changed the intraoperative decision-making process in five patients. Preoperative VR patient-specific simulation did not offer accuracy in studying the pelvic and calyceal anatomy. Conclusions: VR patient-specific simulations represent an empowering tool in pediatric urology. By leveraging the immersive capabilities of VR technology, preoperative planning and intraoperative navigation can greatly impact surgical decision-making. As we continue to advance in medical simulation, VR holds promise in educational programs to include even surgical treatment of more complex urogenital malformations. Full article

Older people often report functional limitations and low digital skills, with the latter hampering the use of Information and Communication Technologies (ICTs) and having potentially negative consequences on their social isolation and loneliness. Against this background, we present some findings from the “Inclusive ageing in place” (IN-AGE) study, carried out in 2019 in Italy. This study explored seniors’ abilities and difficulties with the independent use of mobile phones, smartphones, and tablets/personal computers (PCs). Qualitative/semi-structured interviews involved 120 seniors aged 65 years and over, living alone in three Italian regions (Lombardy, Marche, and Calabria). Purposive sampling was conducted, and quantitative/qualitative analyses were performed. The main results showed that smartphones and PCs/tablets were used by older respondents living mainly in the north and in urban sites to talk with family members and less for other functionalities (e.g., internet). Those more educated and without serious functional limitations were more capable of utilising ICTs. Seniors using ICTs reported mainly low/moderate loneliness and less social isolation. Therefore, technological tools have the potential to mitigate both, even though some barriers (e.g., poor health, low education) can hinder this opportunity. These results can offer insights for policymakers to design adequate policies (e.g., e-training programs) for seniors, to facilitate their inclusion in digital society, thus enabling social sustainability in an ageing population. Full article

A Bayesian additive regression tree (BART) is a recent statistical method that blends ensemble learning with nonparametric regression. BART is constructed using a Bayesian approach, which provides the benefit of model-based prediction uncertainty, enhancing the reliability of predictions. This study proposes the development of a BART model with a binomial likelihood to predict the percentage of students retained in tutorial classes using attendance data sourced from a South African university database. The data consist of tutorial dates and encoded (anonymized) student numbers, which play a crucial role in deriving retention variables such as cohort age, active students, and retention rates. The proposed model is evaluated and benchmarked against the random forest regressor (RFR). The proposed BART model reported an average of 20% higher predictive performance compared to RFR across six error metrics, achieving an R-squared score of 0.9414. Furthermore, the study demonstrates the utility of the highest density interval (HDI) provided by the BART model, which can help in determining the best- and worst-case scenarios for student retention rate estimates. The significance of this study extends to multiple stakeholders within the educational sector. Educational institutions, administrators, and policymakers can benefit from this study by gaining insights into how future tutorship programme student retention rates can be predicted using predictive models. Furthermore, the foresight provided by the predicted student retention rates can aid in strategic resource allocation, facilitating more informed planning and budgeting for tutorship programmes. Full article