Virtual Tools Research Articles

Risk Assessment for the Development of Emergency Scenarios for Tram Driver Training

(1) Background: This article presents research results from a project to develop a simulator and training program for tram drivers based on virtual reality tools. This article aims to present the research results on the risk assessment of adverse events to develop training scenarios for tram drivers. (2) Methods: The research methodology involved four steps, including the identification of adverse events based on interviews with experts, estimation of risk parameters, risk assessment using fuzzy logic, and risk evaluation to identify events recommended for the training program. (3) Results: Thirteen adverse events related to tram driving were identified and ranked according to the proposed classification. A risk assessment was then performed for the selected group of events using fuzzy logic models. The results made it possible to recommend situations that should be mapped in the virtual world as part of a tram driver training program. (4) Conclusions: The results made it possible to distinguish a group of events that should constitute the training area dedicated to tram drivers. Including the developed emergency scenarios in the training program allows employees to examine their reactions to stressful or dangerous situations and better prepare themselves for future duties.

Applying Augmented Reality Technology in STEM Education: A Bibliometrics Analysis in Scopus Database

Augmented reality offers diverse potential applications for STEM education, enabling students to engage directly with virtual elements in real-time and providing them with immersive, natural experiences. This study conducted a bibliometric analysis of articles on this topic on the Scopus database to determine some quantitative information, such as general information about publications, countries, institutions, authors with the most contributions, and key trends in applying augmented reality technology in STEM education. An analysis of 201 studies published from 2005 to 2023 using Biblioshiny software and VOSviewer reveals that the United States leads in the number of studies conducted on this issue. Kryvyi Rih National University, Ukraine, has the most studies. The authors who contributed the most studies with the most citations on this issue are Lindner, C. and Rienow, A. from Ruhr University Bochum, Germany. Two primary research trends emerge, focusing on how Augmented Reality technology is utilized, particularly in STEM fields like Chemistry, which combines learning forms with other learning support tools and media such as mobile applications. Secondly, integrating augmented reality and virtual reality technologies into STEM programs at the university level, design of games, and virtual tools. This study offers important data for researchers looking to explore future applications of augmented reality technology within STEM education.

Virtual Resources for Student Feedback in Higher Education: A Systematic Review, 2023

The following article presents a systematic review of the virtual resources used for feedback, which is essential for strengthening student learning. The objective was to analyze each resource used between the years 2018 to 2023. For the systematic review, databases such as Scielo, Latindex, Scopus, and Dialnet were searched using the Boolean codes "AND" and the terms "digital feedback," "feedback," "higher education," and "virtual resources." The inclusion criteria for the articles in the methodology were: a) Research published in indexed journals; b) Articles showing the use of ICT for feedback; c) Articles published between 2018 and 2023. The exclusion criteria for filtering were: a) Illegible articles; b) Articles not found in indexed journals; c) Articles not corresponding to research sources; d) Review articles; e) Articles discussing concepts, classification, and types. In conclusion, both virtual tools and virtual environments were found. Received: 5 July 2024 / Accepted: 30 October 2024 / Published: 05 November 2024

Development of a Virtual Reality Training Tool Promoted at Skill Acquisition in Preparatory Clinical Education for Pharmacy Students and Verification of Its Educational Effectiveness: Preparation of Liquid Medications

In recent years, virtual reality (VR) technology has garnered attention as an educational tool. It is believed to be beneficial to utilize VR technology for the acquisition of pharmacist skills. Therefore, we developed a VR training tool aimed at acquiring skills in the preparation of pharmaceuticals in preparatory clinical education for pharmacy students. Additionally, we evaluated the effectiveness of the VR training tool by having beginners learn about the preparation of liquid medications through VR materials or existing texts (Tx) and assessing their learning outcomes in subsequent practical exams. The study included 12 participants in the VR group and 10 in the Tx group. For the items "smoothly and rhythmically performing a series of actions or operations," "aligning the meniscus with eye level during scale confirmation," "marking lines on the dispensing bottle," and "placing lines at the appropriate scale on the dispensing bottle," students in the VR group were significantly more capable in practical application. The time required to prepare the liquid medication was significantly shorter for students in the VR group, with over half of the Tx group students exceeding 10 min and terminating the task. According to the survey results, many students cited VR as a method for acquiring dispensing skills. Based on these results, our developed VR training tool for liquid formulation showed usefulness in teaching practical skills to beginners.

Creating Digital Twins of Robotic Stations Using a Laser Tracker

This article deals with the design and creation of digital twins of robotic stations. A literature review of digital twins, robot programming methods and laser tracker applications is presented. This paper shows that the construction of digital twins is closely related to one of the most popular methods of robot programming, i.e., off-line programming. In the case of digital twins of robotic stations, modeling accuracy and two-way communication with the real station proved to be crucial. The article proposes a methodology for solving the basic problem of off-line robot programming, i.e., the limited accuracy of the representation of the station and the details. The algorithm of proceeding in the case when the station already exists and its digital model is built and the case when the digital model is first created and the real solution is built on its basis is shown. According to the developed methodology, a digital twin of a real robotic station was created and the possibilities arising from the use of virtual tools were shown. The developed digital twin has the ability to communicate with advanced Matlab 2021-type tools, uses cloud solutions and virtual and augmented reality for training, simulates physical phenomena and provides the ability to accurately program robots off-line.

Remote work and human resource management: Challenges and solutions

The rise of remote work, accelerated by global disruptions and technological advancements, has fundamentally reshaped traditional human resource management (HRM) practices. This study investigates the key challenges that organizations face in managing a remote workforce, including maintaining employee engagement, ensuring effective communication, managing productivity, and addressing mental health concerns. Additionally, the research explores the role of technology in overcoming these challenges, highlighting solutions such as virtual collaboration tools, flexible work policies, and performance monitoring systems. Through an analysis of current HR practices in organizations that have successfully adapted to remote work, this paper identifies best practices and strategic adjustments necessary for HR managers to support a distributed workforce. The findings suggest that while remote work offers flexibility and operational efficiency, it also requires a shift in HR strategies toward building a cohesive virtual work culture, offering ongoing training, and ensuring employee well-being. This research contributes to the understanding of how HRM can evolve to meet the demands of the remote work environment, providing actionable insights for organizations navigating this new paradigm.

ROSHAMBO: Open-Source Molecular Alignment and 3D Similarity Scoring.

Efficient virtual screening techniques are critical in drug discovery for identifying potential drug candidates. We present an open-source package for molecular alignment and 3D similarity calculations optimized for large-scale virtual screening of small molecules. This work parallels widely used proprietary tools and offers an approach complementary to structure-based virtual screening. Our package employs the PAPER software for optimizing molecular alignments based on Gaussian volume overlaps. GPU acceleration is utilized to significantly reduce computational time and resource requirements. After obtaining the optimal alignments between the target and the query molecules, both shape and color (based on pharmacophore features) scores are computed to assess molecular similarity, with aligned molecules optionally being output in sdf format. The package was benchmarked using the DUDE-Z public data sets. Results demonstrated the package's near-state-of-the-art performance and robustness across multiple target classes, with speed that enables many routine ligand-based drug discovery workflows. As an open-source and freely available resource (github.com/molecularinformatics/roshambo) with both a convenient Python API and command line interface, our package also addresses the need for accessible and efficient virtual screening tools in drug discovery.

Visual analysis of postmortem interval estimation trends and collaborative networks: a 15-year study (2006-2020).

Utilizing a visual analysis of the literature on postmortem interval (PMI) estimation indexed by Web of Science (WOS), this study investigates developmental trends and research hot points across each 5-year period from 2006 to 2020. Additionally, collaborative efforts among authors, countries, and institutions were examined. Research hot points, high-frequency keywords, authors, countries and institutions in relevant papers were analyzed using CiteSpace.5.7.R2 information visualization analysis software over the past 15 years. The literature related to PMI estimation has witnessed consistent growth over time. In the keyword co-occurrence network, several impactful terms stand out, including blowfly, mitochondrial DNA, and emerging concepts like virtual autopsy. Technological advancements, such as RNA stability analysis and virtual autopsy tools, have played a pivotal role in shaping the direction of PMI research. Scientific research institutions dominate the high-frequency affiliations within the institutional cooperative network. Additionally, the country cooperative network exhibits a trend of co-occurrence and multi-clustering. As science and technology continue to advance, traditional PMI estimation methods mature while novel interdisciplinary approaches drive innovation. By identifying emerging trends and research hotspots, this study provides a roadmap for future investigations, guiding researchers toward new opportunities in PMI estimation.

Delivering shared decision-making before transcatheter aortic valve implantation using digital and remote techniques to enhance patient engagement and convenience

Abstract Introduction Transcatheter aortic valve implantation (TAVI) is an alternative to surgical aortic valve replacement for patients with aortic stenosis. However, the choice between TAVI, surgery, wait and watch or conservative management needs to be based upon multiple factors including comorbidity, life expectancy, anatomy, local experience and, critically, informed patient preference. In this context, engaging patients in a shared decision-making (SDM) process becomes essential, but this practice is generally underused. Purpose To comply with both international guidance and the National Institute for Health and Care Excellence (NICE) UK recommendations, in January 2023 we established a formal SDM pathway for TAVI, utilising digital solutions as much as possible to minimise the logistic impact for both hospital and patients. We aimed to quantitatively measure the compliance of the digital SDM meeting from the patients’ perspective with the NICE recommended essential and enhanced discussion standards. Methods Patients are contacted when the multidisciplinary heart team recommends TAVI, then offered digital or, where appropriate, physical patient decision aids and a link to a TAVI-specific explanatory video. One week later, patients are invited to a virtual comprehensive SDM meeting where a specialist nurse discusses aortic stenosis and treatment options with the patient as per the NICE recommended standards, allowing time for questioning and review. From December 2022 to June 2023, a custom developed questionnaire was administered to 20 patients prior to, and 28 patients after the implementation of the SDM meeting protocol, directly addressing the patients’ perception of adherence to the NICE standards. This was provided to the patients after the TAVI procedure via an online tool. The answers to the 12 core questions were converted into a Likert scale (1 to 5) and the global satisfaction scores for the 2 patient groups, reported as the average Likert score across the 12 questions, were compared with the Wilcoxon Rank-Sum Test. Results The global satisfaction score was significantly higher for the post-SDM group than for the pre-SDM group (mean 4.27 vs 3.55, p<0.001). The percentage of patients who gave positive (Likert 4-5) responses to each individual question was consistently higher in the post-SDM group. The percentage of patients giving negative (Likert 1-2) responses was substantially lower in the post-SDM group. Conclusions The SDM pathway and the virtual tools provided proved effective in delivering SDM in compliance with international guidance and NICE recommended standards from the patient’s perspective. A similar approach leveraging digital technology to minimise cost and enhance patient convenience could be implemented for other treatments and across other institutions.Questionnaire results

Considerations for digitalisation of nickel electroforming

ABSTRACT This paper is a ‘follow-on’ from a paper previously published in this journal dealing with the laboratory to pilot scaling up approach using Industry 4.0 manufacturing methods. In particular, the paper reports a strategy for developing a model for the electroforming of nickel from a sulphamate electrolyte at laboratory scale which could subsequently provide an educated approach for transferring the process to a larger scale. At the laboratory scale, a rotating disc electrode assembly was used, which is a standard instrument to determine electrochemical parameters. Thereafter, small scale nickel discs were electroplated using this equipment, and a model of this process was developed and validated against those experimental results. These parameters were then used to actually produce electroforms in a prototype, 18 L tank system. Cross-validation between practical experiments and simulations followed which allowed for fine-tuning the model until it was consistently predicting the real process results within an acceptable error. Overall, it was found that a secondary current distribution model could be used for reasonably accurate description for the electroforming process, and could provide a quick virtual tool at a production facility.

13 Child maltreatment in Canada in the time of COVID-19: Experiences of child protection teams

Abstract Background At the onset of the COVID-19 pandemic, there were many fears regarding the effect on children’s wellbeing – specifically with regards to increased exposure to violence and potential for abuse and neglect within their homes. Early experiences of child protect teams (CPT) in the literature from one Canadian tertiary care center revealed a number of adaptations in their child abuse programs such as a move toward virtual assessments. Objectives Our descriptive study seeks to understand the perspectives, practices, and experiences of child protection teams in Canada during the COVID-19 pandemic with regards to: clinical practice, interactions with child welfare organizations and the justice system, team modes of operating and medical education. These lessons can be applied to child maltreatment and neglect clinical practice in the event of future pandemics, natural disasters, and to provide care to rural areas of Canada. Design/Methods Using a web-based, bilingual, mixed methods survey, we asked both quantitative and open-ended qualitative questions to members of CPTs across Canada. Thematic analysis was completed on qualitative responses. We received a total of 11 responses. Results Respondents unanimously reported a decrease in referrals during the COVID-19 pandemic. 64% endorsed the use of new virtual tools. Virtual tools were used to collaborate amongst members of the CPT as well as with external partners (such as child welfare and justice system). Interestingly, there was minimal adaptation of these tools in patient-facing contexts. 57% of respondents foresee these tools to continue being used in a post-COVID-19 context, and 71% see relevance of these tools for use in rural contexts. Respondents reported that virtual clinical discussions changed the way medical education and case discussion in child maltreatment was delivered. Conclusion These findings describe not only the adaptation of child protection teams to the pandemic, but also robust changes to clinical practice, interactions with partner organizations and the justice system, team modes of operating and medical education in child maltreatment and neglect in Canada.

Integrating Virtual Reality Tools into Secondary School Classrooms to Address Gender Gap in STEM Education: An Action Plan

This action plan addresses the gender gap in STEM education by integrating Virtual Reality (VR) tools into secondary school classrooms. Despite various strategies to increase female participation in STEM fields, women remain underrepresented in these areas. The action plan proposes the use of immersive and interactive VR experiences to create more engaging learning environments that may attract a diverse student body, particularly female students. By leveraging the potential of VR to simulate science experiments and other STEM-related activities, this project aims to enhance students' interest and confidence in STEM subjects. A pilot will be conducted in a secondary school, with approximately 50-100 students and a dedicated STEM teaching team. Key strategies include virtual reality technology training for teachers, the design of inclusive STEM curricula, and continuous evaluation through both formative and summative assessments. The expected outcome is that female students will show increased willingness to pursue further study and careers in STEM fields, contributing to long-term reductions in the gender gap in STEM education.

Exploring the Challenges and Opportunities of Blended Learning in a Technology–Enabled Education Environment

Technology integration in education has led to blended learning, a pedagogical approach combining traditional face-to-face instruction with online learning components. Through a comprehensive review of existing literature and empirical research, this investigation examines the impact of blended learning on both students and educators. It delves into this approach's diverse range of technologies, including Learning Management Systems, video conferencing tools, and digital content platforms. Through qualitative and quantitative analysis, the research identifies the opportunities that arise from adopting blended learning. It investigates the advantages of increased student flexibility, personalised learning experiences, and enhanced access to educational resources. The study explores how interactive content and virtual collaboration tools can boost student engagement and motivation. However, the study also uncovers educators' and students' challenges when implementing blended learning. These obstacles include technology access and proficiency issues, consistent communication, and addressing individual learning needs. The study addresses potential resistance to change from traditional teaching methods and the importance of teacher training and support. It compares students' achievements in blended learning environments with those in traditional classrooms and analyses the role of technology in influencing these outcomes. Based on the findings, the research concludes by providing insights into the future implications of blended learning in technology-enabled education environments. Keywords: Blended Learning; Learning Management System; Technology-enabled learning

A feasibility and usability study of a virtual reality tool (VESPA 2.0) for cognitive rehabilitation in patients with mild cognitive impairment: an ecological approach

A feasibility and usability study of a virtual reality tool (VESPA 2.0) for cognitive rehabilitation in patients with mild cognitive impairment: an ecological approach

A Virtual Reality Tool for Accuracy Assessment of 3D Models in an Immersive Virtual Environment

Abstract. Accurate validation and assessment techniques are essential for ensuring the reliability of spatial reconstructions derived from photogrammetry, enabling well-informed decision-making across diverse domains. This study presents a Virtual Reality (VR) based accuracy assessment tool tailored for evaluating the accuracy and quality of 3D models generated by Unmanned Aerial Vehicles (UAVs). Leveraging the Unity game engine platform, our workflow entails three key steps: aligning real-world coordinates with an arbitrary Unity coordinate system, transforming the positions of Ground Control Points (GCPs) from field survey to the arbitrary system using a reference GCP, and marking observed points on the 3D models. Absolute and Relative Root Mean Square Errors (RMSE), Mean Errors (ME), and Standard Deviation of errors (SD) are computed within the virtual environment via the game object transform properties. The error distributions around each GCP are visually depicted using Unity game engine components for enhanced interaction and comprehension. The efficacy of the tool is validated through experimentation on four 3D models generated from varying camera angles during UAV data capture. The tool provides the opportunity to directly interact with the 3D models and visualize the errors, which is quite distinct from traditional methods. Using the developed tool, results were obtained to indicate that configurations employing camera angles of 60° + 75º exhibit notable performance in terms of relative and absolute accuracy.

Virtual Tasting in the Metaverse: Technological Advances and Consumer Behavior Impacts

Product tasting is a key element in improving customer satisfaction in the commercial environment. This study looks at the notion of traditional tasting and its effect on customer behavior and explores emerging tasting techniques, shedding light on the contribution of digital tasting. Indeed, the advent of the metaverse has made it possible to offer new virtual tasting experiences. However, this experience does not yet involve a sense of taste. Our manuscript highlights the potential of tasting in the metaverse through a descriptive study of various concrete cases of international brands that have included it in their marketing strategies. In light of the results, practical and theoretical recommendations are provided for professionals interested in leveraging virtual tools to improve consumer satisfaction.

‘It’s like being there, but not in the way'. Exploring the use of virtual reality tools to stimulate reflection in Norwegian physical education teacher education

ABSTRACT The ongoing discussion surrounding the incorporation of technology in education has persisted over time. While technology offers significant advantages, such as improved collaboration and access to quality educational materials, it also introduces complexities such as the digital divide and concerns about data privacy, awareness and appropriate use. VR presents opportunities for future teachers to practice decision-making skills in controlled environments, although its effectiveness varies depending on the context and user perceptions. Research indicates that 360° videos enhance reflexivity, support practice and improve observation skills and content knowledge. However, the impact of viewing these videos individually versus in groups remains inconclusive. This study aims to explore students’ perspectives on the use of primary school physical education (PE) 360° video recordings and VR technology to enhance reflexivity. To this end, the theory of practice architectures was reviewed to provide a framework for analysing how educational practices interact with wider contexts, while another theory, reflection, helps to examine students’ critical thinking and introspection. The study intervention involved fourth-year students at a Norwegian university, who observed 360° recordings of physical education lessons using VR technology. Data were generated through these observations, which included the 360° recordings and small group interviews, and were analysed using reflective thematic analysis. The results highlight the importance of group dynamics, and that the authenticity of VR experiences can foster motivation and reflection. These insights can inform the design of future educational approaches in physical education teacher education (PETE), emphasising the need for careful consideration of technological and pedagogical practices to support effective and innovative teaching and learning to enhance experience and teaching.

Bolus tracking from pulsed x-ray projections: A feasibility study using a five-dimensional cardiac CT contrast dynamics model.

Cardiac computed tomography (CT) exams are some of the most complex CT exams due to the need to carefully time the scan when the heart chambers are near the peak contrast concentration. With current "bolus tracking" and "timing bolus" techniques, after contrast medium is injected, a target vessel or chamber is scanned periodically, and images are reconstructed to monitor the opacification. Both techniques have opportunities for improvement, such as reducing the contrast medium volume, the exam time, the number of manual steps, and improving the robustness of correctly timing the peak opacification. The objective of our study is to (1) develop a novel autonomous cardiac CT clinical workflow to track contrast bolus dynamics directly from pulsed x-ray projections, (2) develop a new five-dimensional virtual cardiac CT data generation tool with programmable cardiac profiles and bolus dynamics, and (3) demonstrate the feasibility of projection-domain prospective bolus tracking using a neural network trained and tested with the virtual data to find the contrast peak. In our proposed workflow, pulsed mode projections (PMPs) are acquired with a wide-open collimator under sparse view conditions (monitoring phase). Each time a new PMP is acquired, the neural network is used to estimate the contrast enhancement inside the target chambers. To train such a network, we introduce a new approach to generate clinically realistic virtual scan data based on a five-dimensional cardiac model, by synthesizing user-defined contrast bolus dynamics and patient electrocardiogram profiles. In this study, we investigated a scenario with one single PMP per rotation. To find the optimal PMP view angle, 20 angles were explored. For each angle, 300 virtual exams were generated from 115 human subject datasets and divided into training, validation, and testing groups. Twenty neural networks were trained and evaluated in total to find the optimal network. Finally, a simple bolus peak time estimation algorithm was developed and evaluated by comparing to the ground truth bolus peak time. To evaluate the accuracy of a bolus time-intensity curve estimated by the network, the cosine similarity between the estimation and the ground truth was computed. The cosine similarity was larger than 0.97 for all projection angles. A view angle corresponding to the x-ray tube at 30 degrees from vertical (left-anterior of subject) showed the lowest errors. The amplitude of the estimated bolus curves (in Hounsfield Units) was not always correctly predicted, but the shape was accurately predicted. This resulted in an RMSE of 1.23s for the left chambers and 0.78s for the right chambers in the contrast peak time estimation. In this study, we proposed an innovative real-time way to predict the contrast bolus peak in cardiac CT as well as an innovative approach to train a neural network using virtual but clinically realistic data. Our trained network successfully estimated the shape of the time-intensity curve for the target chambers, which led to accurate bolus peak time estimation. This technique could be used for autonomous diagnostic cardiac CT to trigger a diagnostic scan for optimal contrast enhancement.

Validation study of risk-reduction activities after personalized breast cancer education tool in the WISDOM study

Breast cancer risk reduction strategies have been well-validated, but barriers remain for high-risk individuals to adopt them. We performed a study among participants with high risk of breast cancer to validate whether a virtual breast health decision tool impacted a participant’s willingness to start risk-reducing activities, identify barriers to adopting these strategies, and understand if it affects breast cancer anxiety. The study sample was 318 participants in the personalized (investigational) arm of the Women Informed to Screen Depending on Measures of risk (WISDOM) clinical trial. After reviewing the tool, these participants completed a feedback survey. We demonstrated that 15 (4.7%) women were taking endocrine risk reduction, 123 (38.7%) were reducing alcohol intake, and 199 (62.6%) were exercising. In the three-month follow-up survey of 109 respondents, only 8 of 61 (13.1%) women who considered endocrine risk reduction pursued it. In contrast, 11 of 16 (68%) participants who considered alcohol reduction pursued the activity, and 14 of 24 (58%) women who considered exercise followed through. Participants listed fear of side effects as the most common barrier to endocrine risk reduction. We also present further steps to be taken to improve the effectiveness of the Breast Health Decisions tool.

Peculiarities of choreographic education in higher education establishments in Ukraine during the covid-19 pandemic: A phenomenological analysis

This article presents a phenomenological analysis of the impact of the COVID-19 pandemic on choreographic education processes in higher education establishments in Ukraine. The research is based on a systematic study of the experiences of teachers of choreography in Ukraine during the pandemic, focusing on the changes brought about in the educational process by the restrictions imposed in response to the global crisis. The authors conducted qualitative research, including interviewing teachers and analyzing the collected data. They investigated how teachers adapted their teaching methods to ensure continuity in the educational process despite the transition to distance learning. The article explores different aspects of this process: changes to the organization of the educational process; psychological aspects of pandemic teaching, stress, and teachers' adaptation to new conditions; innovative approaches to education, the use of digital technologies and virtual tools to enhance the educational experience, and the creation of new formats for practical classes. In conclusion, the authors summarize their study findings and discuss the potential implications of these changes for the future of choreographic education in higher education. They also highlight possible limitations and the necessity for further research in this area.