Search Results (724)

Background/Objectives: Early detection of undiagnosed prediabetes (PD) and type 2 diabetes (T2D) could prevent or delay the onset of diabetes and its complications. The dental setting has been suggested as a location for expanding diabetes screening in primary care. This study aimed to investigate behavioural factors that influence an oral healthcare professional’s (OHP) participation in diabetes screening and their decision to refer individuals at a high risk of diabetes for medical follow-up and confirmatory diagnosis. These factors provide targets for future interventions to encourage screening implementation and increase referral guideline compliance. Methods: This qualitative study utilised OHPs who had participated in a diabetes screening trial in Victoria, Australia. Qualitative, semi-structured interviews were conducted by telephone or videoconferencing and transcribed and analysed thematically. The themes identified were deductively mapped onto the Capability, Opportunity, Motivation, and Behaviour (COM-B) model and the Theoretical Domains Framework (TDF). Results: In total, eight interviews were conducted (seven dentists and one oral health therapist). Five COM-B domains were identified: reflective motivation, automatic motivation, social opportunity, physical opportunity, and psychological capability. Nine TDF domains were associated with issues related to knowledge, the environmental context and resources, memory, attention and decision processes, skills, social influences, beliefs about consequences, emotion, beliefs about capability, and social influence. Conclusions: This is the first study to investigate the factors influencing an OHP’s participation and decision making in diabetes screening and referral processes in the dental setting. The results demonstrate that OHPs need more education and training to screen for diabetes in dental clinics. This study represents the first step in developing interventions to target these factors and improve the effectiveness of diabetes screening in the dental setting. Full article

Cyber-physical infrastructures such as hospitals and smart campuses face hybrid threats that target both digital and physical domains. Traditional security solutions separate surveillance from network monitoring, leaving blind spots when attackers combine these vectors. This paper introduces ARGUS, an autonomous robotic platform designed to close this gap by correlating cyber and physical anomalies in real time. ARGUS integrates computer vision for facial and weapon detection with intrusion detection systems (Snort, Suricata) for monitoring malicious network activity. Operating through an edge-first microservice architecture, it ensures low latency and resilience without reliance on cloud services. Our evaluation covered five scenarios—access control, unauthorized entry, weapon detection, port scanning, and denial-of-service attacks—with each repeated ten times under varied conditions such as low light, occlusion, and crowding. Results show face recognition accuracy of 92.7% (500 samples), weapon detection accuracy of 89.3% (450 samples), and intrusion detection latency below one second, with minimal false positives. Audio analysis of high-risk sounds further enhanced situational awareness. Beyond performance, ARGUS addresses GDPR and ISO 27001 compliance and anticipates adversarial robustness. By unifying cyber and physical detection, ARGUS advances beyond state-of-the-art patrol robots, delivering comprehensive situational awareness and a practical path toward resilient, ethical robotic security. Full article

This study examines the accessibility of tourism facilities in the Banská Bystrica region of Slovakia for visitors with disabilities and explores the attitudes of service providers toward inclusive tourism. Accessibility remains a key challenge in developing equitable tourism services, and this research aims to evaluate the current state of barrier-free infrastructure while identifying opportunities for improvement. A survey of 45 tourism facilities was conducted to assess compliance with accessibility standards, revealing that only 22.22% of the facilities meet the required criteria. To complement these findings, structured interviews with representatives from eight facilities were carried out, with responses analyzed using ATLAS.ti software (Version 24.0.0) to visualize patterns through diagrams and Sankey networks. The results highlight significant shortcomings in physical accessibility as well as mixed attitudes of service providers toward the needs of disabled visitors. The study concludes that while awareness of inclusive practices is growing, substantial efforts are still required to improve infrastructure and foster positive engagement from service providers. These findings provide valuable insights for policymakers, tourism stakeholders, and service operators, offering practical recommendations for enhancing accessibility and promoting a more inclusive tourism environment in the region. Full article

The objective of this paper is to frame research improving the governance of modern cyber-physical systems (CPS) and Complex Systems of CPS through better regulation and compliance. CPS are increasingly being used to undertake high-hazard activities that have the potential to cause significant impacts on people and the environment. The analysis detailed in this paper provides insights into how maritime, aviation, and nuclear regulators from the United States of America, the European Union, and Australia, in particular, facilitate the global trend of integrating cyber components into the high-hazard physical systems they regulate. This insight is gained by undertaking a systematic document review and word search analysis of the regulations, codes, standards and guidance documents published or referred to by these regulators, relevant to the operation of the high-hazard CPS they regulate. These documents were selected to assess the importance that these regulators place on cybersecurity, cyber safety, and cyberworthiness. This analysis confirmed that current regulations primarily treat cyber and physical safety in isolation and generally perceive the application of cybersecurity as adequate for achieving safety for the cyber aspects of CPS. This demonstrates the need for the application of more contemporary concepts, such as cyberworthiness, to the regulation of high-hazard CPS, as well as methods to pathologically assess and incrementally improve governance of such systems through approaches like Complex Systems Governance. Full article

The integration of artificial intelligence (AI) and machine learning (ML) has revolutionised civil engineering, enhancing predictive accuracy, decision-making, and sustainability across domains such as structural health monitoring, geotechnical analysis, transportation systems, water management, and sustainable construction. This paper presents a detailed review of peer-reviewed publications from the past decade, employing bibliometric mapping and critical evaluation to analyse methodological advances, practical applications, and limitations. A novel taxonomy is introduced, classifying AI/ML approaches by civil engineering domain, learning paradigm, and adoption maturity to guide future development. Key applications include pavement condition assessment, slope stability prediction, traffic flow forecasting, smart water management, and flood forecasting, leveraging techniques such as Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), Support Vector Machines (SVMs), and hybrid physics-informed neural networks (PINNs). The review highlights challenges, including limited high-quality datasets, absence of AI provisions in design codes, integration barriers with IoT-based infrastructure, and computational complexity. While explainable AI tools like SHAP and LIME improve interpretability, their practical feasibility in safety-critical contexts remains constrained. Ethical considerations, including bias in training datasets and regulatory compliance, are also addressed. Promising directions include federated learning for data privacy, transfer learning for data-scarce regions, digital twins, and adherence to FAIR data principles. This study underscores AI as a complementary tool, not a replacement, for traditional methods, fostering a data-driven, resilient, and sustainable built environment through interdisciplinary collaboration and transparent, explainable systems. Full article

Background: Children with Autism often face motor, sensory and communicational challenges that can hinder their participation in meaningful physical and social activities. This study explores the potential of Capoeira to support their development across these domains. Methods: This qualitative pilot study used semi-structured interviews with parents of children aged 7–15 with Autism Spectrum Disorder (ASD) who participated in group Capoeira programs. Data were analyzed through content categorization, leading to the development of thematic constructs. Results: Three central domains emerged regarding the perceived impact of Capoeira training on children with Autism: 1. Improvements in areas commonly affected in Autism, including sensory and auditory regulation, motor coordination, bodily awareness, compliance, and social communication. 2. Increased motivation, independence, sense of belonging and integration into mixed peer groups of typically developing (TD) children and children with ASD. 3. Broader developmental gains were also reported, such as increased self-confidence, initiative, awareness of others, and transfer of skills beyond the training context. Conclusions: The findings suggest that Capoeira may serve as an effective integrated intervention model, supporting physical and social development in children with ASD. Capoeira was reported to be associated with improved coordination, balance, body awareness, and gains in nonverbal interaction and social engagement, all within a collaborative, non-competitive framework. Future studies should explore the short and long-term impact of such interventions through quantitative outcome measures, as well as clarify the mechanisms that promote successful integration. Full article

Candida infections pose a significant health threat, and conventional antifungal drugs like nystatin are limited due to poor solubility, skin permeability, and frequent dosage requirements. Nystatin effectively targets Candida species by disrupting cell membranes, but formulation issues hinder clinical use. Lipid-based vesicular carriers, or novasomes, provide controlled, prolonged drug release and enhanced skin penetration. This study focuses on developing nystatin-loaded novasomal gels as an advanced drug delivery system to enhance therapeutic efficacy, bioavailability, and patient compliance. The formulation was prepared using a modified ethanol injection technique, combining stearic acid, oleic acid, Span 60, cholesterol, and Carbopol to produce a stable transdermal gel. Comprehensive in vitro characterization using FTIR, SEM, XRD, and thermal analysis confirmed the chemical compatibility, morphological uniformity, and physical stability of the nystatin-loaded novasomal gel. Entrapment efficiency differed significantly among the formulations (p < 0.05), with F7 achieving the highest value (80%). All formulations maintained pH levels within the skin-friendly range of 5.5 to 7.0. Viscosity measurements, ranging from 3900 ± 110 to 4510 ± 105 cP, confirmed their appropriate consistency for dermal use. Rheological analysis showed a dominant elastic response, as indicated by storage modulus values consistently higher than the loss modulus. Particle size ranged from 4143 to 9570 nm, while PDI values remained below 0.3, reflecting uniform particle distribution. Zeta potential values were strongly negative, supporting physical stability. XRD studies indicated reduced crystallinity of nystatin within the formulations, while FTIR confirmed drug-excipient compatibility. SEM images showed spherical particles within the micrometer range. In vitro release studies demonstrated sustained drug release over 12 h, with F6 releasing the highest amount. The novasomal gel formulations-maintained stability for 30 days, with no notable alterations in pH, viscosity, or entrapment efficiency. Antifungal evaluation showed a larger inhibition zone (23 ± 2 mm) compared with the plain drug solution (15 ± 1.6 mm), while the MIC value was reduced (4.57 µg/mL), indicating greater potency. Skin irritation assessment in rats revealed only minor, temporary erythema, and the calculated Primary Irritation Index (0.22) confirmed a non-irritant profile. These findings suggest that the developed novasomal gel offers a promising approach for enhancing the treatment of fungal infections by enabling prolonged drug release, minimizing dosing frequency, and improving patient compliance. Full article

Background/Objective: The preconception period serves as a time for patients to modify behaviors, pre-existing disease, and potential perinatal risk factors. The purpose of this review is to review preconception behavioral modification and its effect on pregnancy outcomes. Methods: Electronic databases (PUBMED, CINAHL, and Embase) were searched. The search terms used were “healthy lifestyle” OR “life style” AND “fertility” OR “preconception care” OR “pre-pregnancy care” OR “pregnancy preparation”. Years searched were 1990–2024. Papers had to be in English. Results: Of the 301 abstracts identified, 189 full articles were selected to form this review. Preconception care (weight management, nutrition, management of pre-existing conditions, cessation of substance use, limitation to harmful environmental exposures, optimization of maternal mental health) has been shown to improve perinatal outcomes. While the benefit of preconception care has been established, compliance among reproductive aged patients is low. Reasons for low compliance in optimal preconception behavior appear to be multifactorial. While some programs have demonstrated promise in improving preconception care, more research needs to be done to improve counseling from providers as well as compliance among patients with the ultimate goal of optimizing perinatal outcomes. Conclusions: A comprehensive approach to physical, emotional, nutritional, environmental, and social well-being is essential to preconception care. Full article

This paper examines the transformative role of the Digital Twin-Computer Vision combination (DT-CV combo) in industrial operations, focusing on its applications, challenges, and future directions. It aims to synthesize the existing literature and explore the practical use cases in operations management (OM). A comprehensive systematic literature review is conducted using PRISMA guidelines to analyze the DT-CV combo across the classification of industrial OM. However, given the breadth and importance of manufacturing and the OM field, the study excludes the literature on the DT-CV combo applied to other domains such as healthcare, smart buildings and cities, and transportation. We found that the DT-CV combo in OM is a relatively young but growing field of research. To date, only 29 articles have examined DT-CV combo solutions from various OM perspectives. Case studies are rare, with most studies relying on experimentation and laboratory testing to investigate DT-CV applications in the OM context. According to the cases and methods reviewed in the literature, the DT-CV combo has applications in different OM areas such as design, prototyping, simulation, real-time production monitoring, defect detection, process optimization, hazard detection and mitigation, safety training, emergency response simulation, optimal resource allocation, condition monitoring, inventory management, and scheduling maintenance. We also identified several benefits of DT-CV combo solutions in OM, including reducing human error, ensuring compliance with quality standards, lowering maintenance costs, mitigating production downtime, eliminating operational bottlenecks, and decreasing workplace accidents, while simultaneously improving the effectiveness of training. In this paper, we classify current applications of the DT-CV combo in OM, highlight gaps in the existing literature, and propose research questions to guide future studies in this domain. By considering the rapid phase of AI technology development and combining it with the current state of the art applications of the DT-CV combo in OM, we suggest novel concepts and future directions. The digital twin-vision language model (DT-VLM) combo as a future direction, emphasizing its potential to bridge physical–digital interfaces in industrial workflows, is one of the future development directions. Full article

In an increasingly interconnected and sustainability-driven digital landscape, effective risk management and robust information security practices are essential not only for protecting organizational assets but also for ensuring long-term operational resilience and regulatory compliance, especially for small and medium-sized enterprises (SMEs), which aim to grow but have limited resources. This paper presents the development of a practical framework and a supporting application—GestionAVR—for implementing an Information Security Management System (ISMS) that integrates structured risk management processes. The research presents some theoretical insights and practitioners’ input, with a focus on the needs of SMEs. The framework includes a predefined set of categorized risks across four key areas: organizational, personnel, physical, and technological. Designed for usability and adaptability, the GestionAVR application facilitates risk identification, prioritization, monitoring, and continuous improvement. Validated through a case study in the engineering sector, the solution proved to be effective in enhancing decision-making, reducing time spent on planning, and minimizing overlooked vulnerabilities. Future developments include integration of sustainability indicators aligning with recent updates to ISO 27001 standards, AI-based data analysis and automated reporting. This research offers a customizable and cost-effective tool that supports information security and sustainable organizational development. Full article

In robotic teleoperation, the simultaneous realization of rapid tracking, compliance, and safe interaction presents a fundamental control challenge. This challenge stems from a critical trade-off: high-stiffness controllers achieve rapid tracking but compromise safety during physical interactions, whereas low-stiffness impedance controllers ensure compliant and safe interactions at the expense of responsiveness. To address this conflict, this study proposes a bio-inspired teleoperation control method (BITC) that integrates human withdrawal reflex mechanisms and the nonlinear stiffness characteristics of shear-thickening fluids. BITC features a dynamic force-feedback-driven collision reflex strategy, enabling rapid detection and disengagement from unintended contacts. Additionally, a nonlinear compliance control module is proposed to achieve both force fidelity during initial contact and adaptive stiffness modulation during progressively deeper contact in an emergency. By integrating full-state feedback tracking, the BITC teleoperation control framework is implemented to unify the performance of rapid tracking, compliance, and safety. Three experiments are conducted to demonstrate that the BITC method achieves accurate tracking performance, ensures compliant behavior during deep contact while maintaining force fidelity during initial contact, and enables safe reflexion for collision, respectively. The method is also validated to reduce peak contact forces by approximately 60% and minimizes contact duration to less than 120 ms, presenting comprehensive teleoperation performance. Full article

This work presents the experimental validation of a reset control mode for a Quasi-Spherical Parallel Manipulator (qSPM), designed as a master device for bilaterally teleoperated telesurgical systems. The reset functionality enables autonomous repositioning of the master device to its central configuration via a joint-space path planning algorithm, executed entirely within the local control loop. Given the non-convex nature of the joint space, the algorithm computes feasible trajectories using a simplified optimization scheme that ensures compliance with mechanical and kinematic constraints. The algorithm was implemented within an ROS Noetic framework and tested across multiple scenarios, including both simulated and physical configurations. The experimental results confirm the device’s ability to reset to the central position in approximately 5 s, maintaining an average residual error below $0.25°$. Computational evaluations demonstrate that each path is generated in less than 10 milliseconds, supporting real-time execution. Additional trials show successful motion toward arbitrary points within the joint space, suggesting the potential for future integration of user-driven repositioning features. These findings highlight the responsiveness, reliability, and experimental feasibility of the proposed control mode, marking a key step toward improving usability in telesurgical environments. Full article

Standardized pharmaceutical-grade cultivation of Cannabis sativa L. increasingly relies on soilless systems for precision, reproducibility, and regulatory compliance. This review examines the role of inert and semi-inert growing media in indoor cannabis production, focusing on their physical properties, agronomic performance, and sustainability. A systematic literature search was conducted using databases such as Scopus, Web of Science, and Google Scholar, emphasizing peer-reviewed original research, experimental trials, and relevant review articles. Evaluated substrates include rockwool, coconut coir, peat-based blends, perlite, vermiculite, expanded clay, foamed glass, phenolic foam, and biochar. Findings show that substrate selection strongly affects vegetative growth, rooting, and flower yield, while cannabinoid concentrations remain primarily genotype-driven under stable environmental and nutritional conditions. Substrate-specific traits such as aeration, water-holding capacity, and nutrient buffering significantly influence biomass production and resource-use efficiency. Rockwool remains the industry standard due to its uniformity and compatibility with fertigation systems, but renewable alternatives like coconut coir and biochar are gaining traction. This review underscores the importance of substrate selection in cannabis cultivation and identifies research gaps in genotype-specific responses and the development of sustainable growing media. Full article

Thermal discharge from power plants causes significant concerns in aquatic environments. The purpose of this study is to evaluate how river mouth morphodynamics, particularly spit development and removal, influence the dispersion of thermal plumes. To achieve this, a case study was carried out at a coastal power plant in southwest Türkiye, where thermal effluent is conveyed to the sea through a low-flow river. Field measurements combined with numerical modeling were used to analyze plume dynamics under varying spit configurations. Results revealed that the evolution of a spit on one side of the river mouth influences plume dispersion and redirects the mixing zone toward the opposite shoreline. Numerical simulations demonstrated that spit development reduces dispersion efficiency (by over 75%), while the physical removal of the spit significantly improves it, reducing temperature excess from 4–5 °C to 0–1 °C within the mixing zone, meeting safe environmental standards. The findings highlight the pivotal role of morphological changes in governing thermal discharge behavior and emphasize the importance of continuous monitoring and management strategies, such as periodic dredging, to ensure compliance with environmental regulations. Full article

Effective speed management at urban entry points is essential for ensuring traffic safety and supporting sustainable mobility in smart cities. This study contributes to urban mobility planning by using a high-fidelity driving simulation to evaluate gateway designs that enhance safety and behavioral compliance at built-up entry zones. Seven gateway configurations, comprising physical (i.e., chicanes, road narrowing) and psychological (i.e., transverse markings, avenue planting) speed calming measures, were evaluated against a reference scenario. A total of 54 participants completed a 14 km simulated route under standardized conditions, with vehicle speed, acceleration/deceleration, and lateral position continuously recorded. The strongest effects were observed in designs featuring chicanes, which achieved the largest speed reductions but also induced abrupt deceleration. In contrast, the combination of road narrowing and transverse markings resulted in a smoother and more gradual deceleration, minimizing driver discomfort and lateral instability. Psychological measures alone, such as avenue planting, had a limited impact on speed behavior. These findings highlight the importance of combining physical and psychological traffic calming measures to create effective, perceptually engaging transitions that promote safer and more consistent driver responses. Full article