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Copyright of Automatisierungstechnik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

IntroductionShooting simulations provide an excellent opportunity to train use-of-force decisions in controlled environments. Recently, military and law enforcement organizations have expressed a growing desire to integrate physiological measurement into simulations for training and feedback purposes. Although participants can easily wear physiological monitors in these scenarios, direct implementation into training may not be simple. Theoretical problems exist in the ultra-short heart rate variability windows associated with use-of-force training, and practical problems emerge as existing scenario libraries at training organizations were not designed for physiological monitoring.MethodsThe current study explored the challenges and possibilities associated with direct implementation of physiological monitoring into an existing library of firearms training scenarios. Participants completed scenarios in a shooting simulator using existing military training scenarios while wearing a device to monitor their heart rate.ResultsThe results revealed lower heart rate variability (approximately 6%) occurred in scenarios where participants did not have to fire weapons, indicating that don't-shoot scenarios may actually impose more cognitive stress on shooters. Additional evidence further demonstrated how both behavioral and physiological factors could be used concomitantly to predict unintentionally firing on non-hostile actors. However, behavioral measures were more predictive (e.g., β = .221) than physiological measures (e.g., β = −.132) when the latter metrics were limited to specific scenarios. Qualitative results suggest that simply applying physiological monitoring to existing shooting simulations may not yield optimal results because it would be difficult to directly integrate physiological measurement in a meaningful way without re-designing some elements of the simulations, the training procedure, or both.DiscussionFuture use-of-force shooting simulations should consider designing novel scenarios around the physiological measurement rather than directly implementing physiological assessments into existing libraries of scenarios.

In the rapidly evolving field of medical education, the integration of innovative technologies has become paramount to enhance the training and proficiency of future surgeons. Among these advancements, the application of 3D printing technology stands out as a useful tool in surgical training. The advantages of the 3D printing model include customization, re-usability and low-cost. The average cost of the 3D printing simulators was between $100–1000. However, there were extremely high potential labor cost during the 3D printing that hadn’t been calculated into. Additionally, in the current stage, the 3D printing simulator still have specific limitations. The most mentioned limitation was poor haptic feedback of the simulators, which was very important during the surgical training, since it is the key element for junior doctors to master practical procedures. Also, some simulators didn’t possess the integrated and elaborate structure as the human tissue, hence not the whole surgical procedures can be practiced by the trainees, and further improvement should be made. Although there are shortages, many studies have proved that 3D printing simulator can effectively reduce learning curves and is useful to enhance the trainees’ surgical skills.

This research aims to develop and test the feasibility of the student worksheet lighting system to improve collaborative problem solving (CPS) skills of vocational students. This research method used research and development with the 4D model consists of stages, namely Define, Design, Develop, and Disseminate. The developmental research was conducted at class XI Vocational High School Muhammadiyah 1 Bambanglipuro, with teachers and students as the research subjects. Techniques in collecting data in this study used interviews, questionnaires, and documentation. This research instrument used consists of interview sheets, validation sheets for material experts and media experts, and student response questionnaires. Data analysis techniques use quantitative descriptive. The results of this research and development obtained student worksheet lighting system products that can improve CPS skills. The final results of the feasibility of the student worksheet information system show the following numbers: 90% by material experts, 83% by media experts so that they are included in the "Very Feasible" category. The results of student responses in trials and usage trials get a figure of 86% in product trials and 87% in usage trials, so it is included in the "Very Feasible" category. Based on these results, the student worksheet lighting system developed can be said to be suitable for use as teaching materials in schools.

In nuclear reactor calculations, such as burn-up and fuel management, transient analysis, and pin power reconstruction, methods are being developed that are optimal, and are both cost-efficient and time-efficient. In this paper, the discretization of the neutron diffusion equation with a high-order average current nodal expansion method is shown, which can calculate in optimum time and with acceptable accuracy. The discretization of the Forward and Adjoint neutron diffusion equation is performed for two-dimensional rectangular geometry in two energy groups and then the S3-HACNEM reactor core simulator is developed. To verify, the calculations for the BIBLIS-2D reactor core are performed and compared with valid references. It results that the computational error improves from 9.67% to 0.58% by increasing the flux expansion order from quadratic polynomials to fourth-degree polynomials.

Abstract Background Robotic-assisted complete mesocolic excision is an advanced procedure mainly because of the great variability in anatomy. Phantoms can be used for simulation-based training and assessment of competency when learning new surgical procedures. However, no phantoms for robotic complete mesocolic excision have previously been described. This study aimed to develop an anatomically true-to-life phantom, which can be used for training with a robotic system situated in the clinical setting and can be used for the assessment of surgical competency. Methods Established pathology and surgical assessment tools for complete mesocolic excision and specimens were used for the phantom development. Each assessment item was translated into an engineering development task and evaluated for relevance. Anatomical realism was obtained by extracting relevant organs from preoperative patient scans and 3D printing casting moulds for each organ. Each element of the phantom was evaluated by two experienced complete mesocolic excision surgeons without influencing each other’s answers and their feedback was used in an iterative process of prototype development and testing. Results It was possible to integrate 35 out of 48 procedure-specific items from the surgical assessment tool and all elements from the pathological evaluation tool. By adding fluorophores to the mesocolic tissue, we developed an easy way to assess the integrity of the mesocolon using ultraviolet light. The phantom was built using silicone, is easy to store, and can be used in robotic systems designated for patient procedures as it does not contain animal-derived parts. Conclusions The newly developed phantom could be used for training and competency assessment for robotic-assisted complete mesocolic excision surgery in a simulated setting.

Abstract Background Invasive electrophysiology (EP) training requires intellectual skills related to the interpretation of intracardiac electrograms. The classic approach to the education of young electrophysiologists focused solely on theoretical knowledge and overseen procedures in patients as no real-life-like simulation of EP studies was available. Objective The purpose of this study was to assess a novel tool for EP training based on fully interactive, online simulator providing real clinical experience to the users. Methods EP simulator users access a system with simulated electrocardiogram, mimicking signals recorded by a catheter. Assessment of EP simulator by 40 electrophysiologists from 16 countries was collected via online questionnaire. Results The realism of ECG signals was described as excellent or very good by 90% of responders, of intracardial signals by 82.5%. Realism of signal interactions and user experience was judged as excellent or very good by 75% and 70% accordingly. One hundred percent of users agree definitely or mostly that EP Simulator helps to translate theoretical into practical knowledge. Of responders, 97.5% would include it in EP training programs as it is extremely or very useful for training purposes in the opinion of 87.5%. Of responders, 72.5% think that training on EP simulator can potentially reduce the rate of complications. In 87.5%, the overall experience was completely or mostly satisfying and would be recommended by 100% of responders. Conclusion EP simulator is a feasible tool for training of young electrophysiologist, and it may be potentially included in the cardiologist curriculum. We should particularly emphasize the positive respondents’ assessment of EP simulator overall realism.

Background: Endoscopic submucosal dissection (ESD) is the standard treatment for early malignant stomach lesions. However, this procedure is technically demanding and carries a high complication risk. The level of difficulty in performing ESD is influenced by the location of the lesion. In our study, we aimed to investigate and analyze the effectiveness of robot-assisted ESD for lesions situated in challenging locations within the stomach. Methods: We developed a gastric simulator that could be used to implement various gastric ESD locations. An EndoGel (Sunarrow, Tokyo, Japan) was attached to the simulator for the dissection procedures. Robot-assisted or conventional ESD was performed at challenging or easy locations by two ESD-trainee endoscopists. Results: The procedure time was remarkably shorter for robotic ESD than conventional dissection at challenging locations (6.2 vs. 10.2 min, P < 0.05), mainly due to faster dissection (220.3 vs. 101.9 mm2/min, P < 0.05). The blind dissection rate was significantly lower with robotic ESD than with the conventional method (17.6 vs. 35.2%, P < 0.05) at challenging locations. Conclusion: The procedure time was significantly shortened when robot-assisted gastric ESD procedures were performed at challenging locations. Therefore, our robotic device provides simple, effective, and safe multidirectional traction for endoscopic submucosal dissection at challenging locations, thereby reducing difficulty of the procedure. [ABSTRACT FROM AUTHOR]

Carrier frequency phase differences of global navigation satellite system (GNSS) signals between multiple antennas are measured in many coordinate and navigation applications. GNSS signal simulators are used for determining and controlling instrumental errors of consumer navigation equipment. Therefore, determining the systematic error of the carrier frequency phase of the generated signals is imperative. On this basis, in this study, a calibration method of GNSS signal simulators based on the refined error model of the generated phase differences between simulator outlets was developed and tested. The proposed method was implemented using a wideband oscilloscope as an analog-to-digital converter. Validation of the simulator calibration method was performed by comparison with the measurement results obtained using the State secondary standard of units of complex transmission coefficients in the range of 0–60 dB and complex reflection coefficients in the range of 0.002–1 in the frequency range of 0.05–65 GHz (registration No. 2.1.ZZT.0210.2015). The proposed simulator calibration method can be used to determine calibration corrections to the phase differences of the carrier frequencies of radio signals reproduced by the simulator with an expanded uncertainty of 1° at a coverage factor of 3. The proposed method provides the required accuracy of generating phase differences of the carrier frequencies of GNSS signals for modern types of simulators. [ABSTRACT FROM AUTHOR]

The purpose of this study was to determine the effect of an older adult simulation suit on empathy in physical therapy students. The study used a mixed-methods design. An older adult simulator suit was designed for use in this study. The primary outcome measure was empathy as measured by a 20-item Empathy Questionnaire (EQ). Secondary outcomes included rate of perceived exertion, functional mobility, and physical difficulty. Participants were physical therapy students (n = 24) enrolled in an accredited program in the United States. Participants performed a Modified Physical Performance Test (MPPT) with and without the simulator suit, followed by an interview about their experience. For the primary outcome of empathy, there was a significant difference on the EQ (n = 2.51, n =.02), indicating increased empathy following exposure to the suit. For secondary outcomes, there were significant differences on perceived exertion (n = 5.61, n <.001) and MPPT scores (n = 9.18, n <.001). Two themes were developed: 1.) Experience Creates Awareness and Inspires Empathy, and 2.) Empathy Impacts Treatment Perspective. Results support that an older adult simulator suit can affect empathy in student physical therapists. The benefits of having experienced the older adult simulator may help student physical therapists in making treatment decisions when working with older adults. [ABSTRACT FROM AUTHOR]

Military pilot education, including flight training, is a long, expensive, and complex process. The main goal is to produce as many skilled professionals as possible ready to perform flight tasks on the front-line aircraft and push them to their workload limits with complete control. To achieve this goal, it is necessary to select and educate young people with the aptitude and abilities to perform the most demanding military flight tasks. The creation of a model for the education and training of military pilots depends on the requirements of the Czech Air Force Command and the teaching capacities of the University of Defence and the Aviation Training Centre in Pardubice. Rearmament of the Czech Air Force and the required number of pilots requires a change in the new military pilot training model. This contribution describes a new approach to Czech Air Force pilot education and training in the current security conditions in the world. [ABSTRACT FROM AUTHOR]

Despite evacuation on foot being recommended by authorities, evacuation in practice is assumed to include evacuation on foot and evacuation by car, as a certain amount of evacuation by car is to be expected. We developed a tsunami evacuation training application operating on smartphones and tablets, and a tsunami evacuation training simulator to evaluate the effect of this application. We then conducted an experiment in Nishio City to evaluate the application. We found that the subjects were able to quickly grasp the attention targets that were present near them but had difficulty grasping attention targets that were far away. This suggests that participants need to be trained repeatedly on distant objects of attention to be able to locate them instantaneously. [ABSTRACT FROM AUTHOR]

This study investigates the efficacy of incorporating neuropedagogical elements into virtual simulators for advanced chemistry education in universities. Utilizing a mixed-method approach, it uses questionnaires completed by 50 organic chemistry students. These questionnaires included both general and Likert scale questions, focusing on students' experiences with the PhET Interactive Simulation. The results highlight the positive impact of neuropedagogy on students' learning attitudes, cognitive abilities, and skill development, particularly in areas like critical thinking, analytical skills, and social competencies. A significant portion of students reported enhanced educational outcomes: 76% observed improved training effectiveness, 88% better understood the subject, and 96% found the virtual simulator-based learning more engaging. Furthermore, the study notes improvements in students' problem-solving abilities (68%), logical reasoning (92%), and comprehension of chemical processes (94%). These findings emphasize the value of integrating neuroscience principles in chemical education, potentially benefiting both tertiary and secondary education sectors. They indicate the necessity for educational adaptation in line with interdisciplinary research in cognitive and neurological sciences. This research not only serves as a valuable resource for chemistry teachers but also sets the stage for future empirical studies exploring neuroscience's role in teacher education. The study underscores the importance of further investigation into how teachers implement neuropedagogical techniques and the effectiveness of such applications, advocating for continuous development in educational methodologies. [ABSTRACT FROM AUTHOR]

Copyright of Informatics Control Measurement in Economy & Environment Protection / Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska is the property of Lublin University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

De novo assembly plays a pivotal role in metagenomic analysis, and the incorporation of third-generation sequencing technology can significantly improve the integrity and accuracy of assembly results. Recently, with advancements in sequencing technology (Hi-Fi, ultra-long), several long-readbased bioinformatic tools have been developed. However, the validation of the performance and reliability of these tools is a crucial concern. To address this gap, we present MCSS (microbial community simulator based on structure), which has the capability to generate simulated microbial community and sequencing datasets based on the structure attributes of real microbiome communities. The evaluation results indicate that it can generate simulated communities that exhibit both diversity and similarity to actual community structures. Additionally, MCSS generates synthetic PacBio Hi-Fi and Oxford Nanopore Technologies (ONT) long reads for the species within the simulated community. This innovative tool provides a valuable resource for benchmarking and refining metagenomic analysis methods. [ABSTRACT FROM AUTHOR]

Spiking neural network simulations are a central tool in Computational Neuroscience, Artificial Intelligence, and Neuromorphic Engineering research. A broad range of simulators and software frameworks for such simulations exist with different target application areas. Among these, PymoNNto is a recent Python-based toolbox for spiking neural network simulations that emphasizes the embedding of custom code in a modular and flexible way. While PymoNNto already supports GPU implementations, its backend relies on NumPy operations. Here we introduce PymoNNtorch, which is natively implemented with PyTorch while retaining PymoNNto's modular design. Furthermore, we demonstrate how changes to the implementations of common network operations in combination with PymoNNtorch's native GPU support can offer speed-up over conventional simulators like NEST, ANNarchy, and Brian 2 in certain situations. Overall, we show how PymoNNto's modular and flexible design in combination with PymoNNtorch's GPU acceleration and optimized indexing operations facilitate research and development of spiking neural networks in the Python programming language. [ABSTRACT FROM AUTHOR]

To assess the health impact of inhaled aerosols, it is necessary to understand aerosol dynamics and the associated dosimetry in the human respiratory tract. Although several studies have measured or simulated the dosimetry of aerosol constituents, the respiratory tract focus areas have been limited. In particular, the aerosols generated from tobacco products are complex composites and simulating their dynamics in the respiratory tract is challenging. To assess the dosimetry of the aerosol constituents of tobacco products, we developed a revised version of the Multiple‐Path Particle Dosimetry (MPPD) model, which employs (1) new geometry based on CT‐scanned human respiratory tract data, (2) convective mixing in the oral cavity and deep lung, and (3) constituent partitioning between the tissue and air, and clearance. The sensitivity analysis was conducted using aerosols composed of four major constituents of electronic cigarette (EC) aerosols to investigate the parameters that have a significant impact on the results. In addition, the revised model was run with 4 and 10 constituents in ECs and conventional cigarettes (CCs), respectively. Sensitivity analysis revealed that the new modeling and the physicochemical properties of constituents had a considerable impact on the simulated aerosol concentration and dosimetry. The simulations could be carried out within 3 min even when 10 constituents of CC aerosols were analyzed simultaneously. The revised model based on MPPD is an efficient and easy‐to‐use tool for understanding the aerosol dynamics of CC and EC constituents and their effect on the human body. [ABSTRACT FROM AUTHOR]

The objective of this manuscript is to explore demographic, legal, and situational considerations on use-of-force decisions. The influence of implicit bias was measured in real time using a police training simulator in an experimental study with university students (n = 115). Participants were randomly assigned to one of four scenarios which varied according to the on-screen actor's race (e.g., White/Black) and behavior (i.e., compliance/attack). Bivariate and multivariate regression models were used to estimate the effect of implicit bias on the decision to consider and use simulated lethal force. Actor behavior, independent of actor race, most influenced participant responses. These results suggest that simulated police-public interactions offer significant value in the assessment of implicit bias, particularly in the context of use-of-force decisions. Furthermore, absence of bias is inconsistent with current news and social media narratives about the existence of bias in officer decision-making. [ABSTRACT FROM AUTHOR]

Background: Robotic-assisted complete mesocolic excision is an advanced procedure mainly because of the great variability in anatomy. Phantoms can be used for simulation-based training and assessment of competency when learning new surgical procedures. However, no phantoms for robotic complete mesocolic excision have previously been described. This study aimed to develop an anatomically true-to-life phantom, which can be used for training with a robotic system situated in the clinical setting and can be used for the assessment of surgical competency. Methods: Established pathology and surgical assessment tools for complete mesocolic excision and specimens were used for the phantom development. Each assessment item was translated into an engineering development task and evaluated for relevance. Anatomical realism was obtained by extracting relevant organs from preoperative patient scans and 3D printing casting moulds for each organ. Each element of the phantom was evaluated by two experienced complete mesocolic excision surgeons without influencing each other's answers and their feedback was used in an iterative process of prototype development and testing. Results: It was possible to integrate 35 out of 48 procedure-specific items from the surgical assessment tool and all elements from the pathological evaluation tool. By adding fluorophores to the mesocolic tissue, we developed an easy way to assess the integrity of the mesocolon using ultraviolet light. The phantom was built using silicone, is easy to store, and can be used in robotic systems designated for patient procedures as it does not contain animal-derived parts. Conclusions: The newly developed phantom could be used for training and competency assessment for robotic-assisted complete mesocolic excision surgery in a simulated setting. [ABSTRACT FROM AUTHOR]

The Wi-SUN FAN (Wireless Smart Ubiquitous Network Field Area Network) standard is attracting great interest in various applications such as smart meters, smart cities and Internet of Things (IoT) devices due to the attractive features that the standard offers, such as multihop and mesh topologies, a relatively high data rate, frequency hopping, and interoperability between manufacturers. However, the process of connecting nodes in Wi-SUN FAN networks, which includes discovering, joining, and forming the network, has been shown to be slow, especially in multihop environments, which has motivated research and experimentation to analyze this process. In the existing literature, to measure network formation time, some authors have performed experiments with up to 100 devices, which is a costly and time-consuming methodology. Others have used simulation tools that are difficult to replicate, because little information is available about the methodology used or because they are proprietary. Despite these efforts, there is still a lack of information to adequately assess the formation time of Wi-SUN FAN networks, since the experimental tests reported in the literature are expensive and time-consuming. Therefore, alternatives such as computer simulation have been explored to speed up performance analysis in different scenarios. With this perspective, this paper is focused on the implementation of the Wi-SUN FAN network formation process using the Contiki-NG open source operating system and the Cooja simultor, where a functionality was added that makes it possible to efficiently analyze the network performance, thereby facilitating the implementation of new techniques to reduce network training time. The simulation tool was integrated into Contiki-NG and has been used to estimate the network formation times in various indoor environments. The correspondence between the experimental and numerical results obtained shows that our proposal is efficient to study the formation process of this type of networks. [ABSTRACT FROM AUTHOR]

To solve the problems of difficult vibration sources simulation in the ground test of the on-orbit optical load, a multi-dimensional micro-vibration simulator based on the improved Gough–Stewart platform was designed, which can effectively reproduce the characteristics of wide frequency distribution and small vibration magnitude of space micro-vibration. The analytical formula was derived by using the virtual frequent principle and the Newton–Euler equation for the natural frequency of the system, and the simulator's configuration was optimized. The structure of legs was designed and optimized according to the optimal configuration parameters. Finally, the micro-vibration simulator was tested, and the test results showed that the output bandwidth of the simulator was 5–300 Hz and the maximum magnitude error was 8%, thus demonstrating the multi-dimensional micro-vibration simulation platform has the characteristics of large frequent bandwidth, high load carrying capacity, and small vibration magnitude. [ABSTRACT FROM AUTHOR]

Rhinoplasty training currently follows an apprenticeship model that is largely observational. Trainees have limited experience in performing maneuvers of this complex surgery. Rhinoplasty simulators can address this issue by providing trainees with the opportunity to gain surgical simulator experience that could improve technical competences in the operating room. This review amalgamates the collective understanding of rhinoplasty simulators described to date. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, PubMed, OVID Embase, OVID Medline, and Web of Science databases were all searched for original research on surgical simulators for rhinoplasty education and reviewed by independent reviewers. Articles underwent title and abstract screening, and then relevant articles underwent full-text review to extract simulator data. Seventeen studies, published between 1984 and 2021, were included for final analysis. Study participant numbers ranged from 4 to 24, and included staff surgeons, fellows, residents (postgraduate year 1–6), and medical students. Cadaveric surgical simulators comprised eight studies, of which three were with human cadavers, one study was a live animal simulator, two were virtual simulators, and six were three-dimensional (3D) models. Both animal and human-based simulators increased the confidence of trainees significantly. Significant improvement in various aspects of rhinoplasty knowledge occurred with implementation of a 3D-printed model in rhinoplasty education. Rhinoplasty simulators are limited by a lack of an automated method of evaluation and a large reliance on feedback from experienced rhinoplasty surgeons. Rhinoplasty simulators have the potential to provide trainees with the opportunity for hands-on training to improve skill and develop competencies without putting patients in harm's way. Current literature on rhinoplasty simulators largely focuses on simulator development, with few simulators being validated and assessed for utility. For wider implementation and acceptance, further refinement of simulators, validation, and assessment of outcomes is required. [ABSTRACT FROM AUTHOR]

This letter investigates the properties of a novel multi-band fractal antenna with a triangular geometry that can expand its bandwidth, provide multiband functionality, and enable the best smart antenna technology. The antenna employs an FR4 as support with dimensions of 75×75 mm2 and a thickness of 1.6 mm. A microstrip line with an impedance of 50 ohms feeds the patch. The high-frequency structure simulator (HFSS) is applied to develop and simulate the patch. The vector network analyzer AVR ROHDE and SCHWARZ ZVB20 carried out the experimental tests of the prototype antenna. The suggested antenna’s simulation results show that it runs on five main frequency bands: 1.840 GHz, 2.770 GHz, 2.940 GHz, 4.330 GHz, and 5.790 GHz, with a high gain that can exceed 6.01dB and an efficiency of 82%. In the operational bands, the voltage standing wave ratio (VSWR) is between one and two. The results from the simulation and the experiment are extremely similar. [ABSTRACT FROM AUTHOR]

Echocardiography is a medical examination that uses ultrasound to assess and diagnose the structure and function of the cardiac. Through the use of ultrasound waves, this examination allows medical professionals to create visualizations of the cardiac muscle, enabling them to diagnose and monitor conditions such as cardiac diseases, abnormalities, and functional disorders. An echocardiogram plays a crucial role in the early detection and diagnosis of various cardiac issues such as hypertension, myocardial infarction, valvular cardiac disease, and myocardial hypertrophy. It significantly contributes to determining treatment and management strategies. To achieve accurate disease diagnosis and develop appropriate treatment plans through echocardiography, it is essential to have a thorough understanding of proper probe usage, the precise acquisition of echocardiographic images, and the ability to interpret various echocardiographic examinations such as two-dimensional, M-mode, Doppler, etc. To enhance the skills required for echocardiography, medical educational institutions conduct theoretical classes, practical sessions using patient models, and clinical practice sessions with actual patients. However, issues such as inadequate practical adaptation due to theory-centric education, limitations in practical opportunities due to insufficient practice equipment, ethical or safety concerns arising during clinical practice, and a lack of educators leading to insufficient feedback, are currently being encountered. Hence, there is a need for new educational methods that can address the existing challenges in echocardiography education. In this paper, as part of these efforts, we propose a virtual reality-based immersive simulator for practical echocardiography training. The proposed echocardiography simulator allows users to explore a virtual echocardiography examination space by wearing a head-mounted display (HMD). This simulator consists of 3D virtual space models, interactive models manipulated by interaction devices, and 3D patient models containing normal or abnormal anatomical cardiac models. Using interactive devices such as HMD controllers and haptic devices, users can manipulate 3D models related to echocardiography within the simulator and interact with 3D patient models containing normal or abnormal anatomical cardiac models, allowing for the practice of echocardiography examinations. Ultimately, a performance evaluation of the developed immersive virtual reality simulator and usability validation targeting medical university students were conducted. The evaluation and validation results confirmed the potential efficacy of the proposed echocardiography VR simulator. [ABSTRACT FROM AUTHOR]

The article clarifies the issues of modeling robotic systems in the V-REP program and provides skills in modeling the process of robotic and mechatronic complexes operation taking into account the laws of physics. The aim of the research paper is to investigate a 3D robotic simulator based on a distributed control architecture: control programs (or scripts) can be directly attached to objects in the scene and executed simultaneously in a streaming or non-streaming mode. V-REP can be used for remote monitoring, for hardware control, for rapid prototyping and verification, for rapid algorithm development/parameter tuning, for safety retesting, for robotics education, factory automation simulation, etc.