Virtual Situations Research Articles

Synchronous and Asynchronous Digital Tools for Real Life Support and Skills- Lessons Learnt from Covid 19

The current pandemic has surprised language educators. Globally, educators have been forced to implement online platforms and remote pedagogies. Online or virtual situations are challenging for students and teachers. Distance learning has become the norm. They must deal with a situation for which they never had any formal training or orientation. Although language learners have weathered this new crisis well, language instructors remain challenged with remote teaching's complexities. In this research proposal, the researcher examines how language educators have adapted to remote learning and discusses how they have implemented synchronous and asynchronous digital tools like OneNote in their language classrooms.

A Systematic Review of the Effects of Practice, Exercise, and Sport Experience on Gap Interception Behavior

ABSTRACT Researchers have studied human perception-action systems during interceptive tasks in real or virtual situations. Training and practice may enhance perception and action in dynamic gap interception tasks like crossing a road. For relevant studies, we thoroughly searched PubMed, PsycINFO, ScienceDirect, ResearchGate, and SPORTDiscus. We reviewed and summarized research to determine how task-specific practice, exercise, and sports experience affect perception-action capacities when intercepting a moving gap. Specifically, we examined how sports experience influences perception-action coupling in street crossing. Task-specific and sports skills may improve perception-action in everyday activities. Hence, task-specific practice and perception-action coupling in sports may increase perceptual-motor skills for dynamic gap interception tasks.

An overview of predictive maintenance in relation to 2D and 3D Geographical Information System (GIS) for built environment

Well-preserved buildings can be a great asset to the country, contributing to its economic growth. The lifespan of a building and its assets can be extended through proper maintenance. This will improve the longevity of its function, sustain its performance, and optimize maintenance costs. Predictive maintenance is a proactive approach to maintenance, as it is conducted based on the current operational state of equipment rather than average life statistics. It is generally implemented in building maintenance, machinery, and many other industries. While predictive maintenance has grown in application with artificial intelligence, digital twins, and machine learning, its application with geographical information systems (GIS) and 3D GIS have limitedly discussed. Geospatial predictive maintenance can be realized by integrating the asset's location with its maintenance semantic and temporal information. By incorporating geospatial thinking into the predictive framework, it can help optimize decision-making processes such as allocating maintenance costs based on calculating affected areas, visualizing the location of assets, understanding their interactions with meteorological events and virtual situations. Therefore, this paper will discuss a review of predictive maintenance in relation to GIS and 3D GIS.

Estimation of Distances within Real and Virtual Dental Models as a Function of Task Complexity.

Orthodontists have seen their practices evolve from estimating distances on plaster models to estimating distances on non-immersive virtual models. However, if the estimation of distance using real models can generate errors (compared to the real distance measured using tools), which remains acceptable from a clinical point of view, is this also the case for distance estimation performed on digital models? To answer this question, 50 orthodontists (31 women and 19 men) with an average age of 36 years (σ = 12.84; min = 23; max = 63) participated in an experiment consisting of estimating 3 types of distances (mandibular crowding, inter-canine distance, and inter-molar distance) on 6 dental models, including 3 real and 3 virtual models. Moreover, these models were of three different levels of complexity (easy, medium, and difficult). The results showed that, overall, the distances were overestimated (compared to the distance measured using an instrument) regardless of the situation (estimates on real or virtual models), but this overestimation was greater for the virtual models than for the real models. In addition, the mental load associated with the estimation tasks was considered by practitioners to be greater for the estimation tasks performed virtually compared to the same tasks performed on plaster models. Finally, when the estimation task was more complex, the number of estimation errors decreased in both the real and virtual situations, which could be related to the greater number of therapeutic issues associated with more complex models.

Adversarial machine learning: the rise in AI-enabled crime

The rise in frequency and consequence of cybercrimes enabled by artificial intelligence (AI) has been a cause of concern for decades. At the same time, we've seen the development of defensive capabilities. This article examines the mechanics of AI-enabled attacks. These include voice mimicking used for crime, and natural processing algorithms absorbing harmful and offensive human text patterns to create problematic virtual situations. It also looks at shadow models – evasion, infiltration and manipulation of machine-learning models through shadow modelling techniques are on the rise due to their straightforward development methods, allowing the identification of shortcomings in input features, which can cause misclassification by the model. With a special focus on spam filters, their structure and evasion techniques, we look at the ways in which artificial intelligence is being utilised to cause harm, concluding with a final analysis of the Proofpoint evasion case.

ARTIFICIAL INTELLIGENCE TOOLS IN FOREIGN LANGUAGE TEACHING IN HIGHER EDUCATION INSTITUTIONS

The article is devoted to the problem of using artificial intelligence (AI) tools in the system of teaching foreign languages in higher education institutions. The study includes an overview of modern approaches to language teaching, the advantages, and possibilities of using AI in the educational process, as well as an analysis of the impact of these tools on the academic achievements of students. The objectives of the research are as follows: to determine the effectiveness and impact of artificial intelligence tools on the process of teaching foreign languages in higher education institutions, and to identify the most productive pedagogical strategies for integrating AI tools into foreign language instruction. The integration of AI into the process of teaching foreign languages is substantiated, and the potential benefits for students and teachers are highlighted. Besides, interactive language programs and learning platforms that allow students to practice a foreign language in virtual situations, and receive feedback are analysed. The use of artificial intelligence makes it possible to create adaptive learning platforms that individually adjust to the needs and abilities of each learner. Particular attention is paid to the possibility of individualizing the learning process through artificial intelligence, which allows students to learn a foreign language according to their needs and pace. The use of AI makes it possible to identify the optimal teaching methods for each student based on their individual abilities, learning styles, and interests. This teaching approach helps learners master the material more effectively, ensures maximum adaptation to their needs, and provides more successful results in learning foreign languages. The risks of using AI in the educational process are identified, including the risk of turning language learning into a mechanical process without taking into account the context and cultural characteristics. The need to ensure system resilience and data security is emphasized, as a large amount of information that may relate to the personal data of students can be stored in AI systems. Based on the studied data and analysis, conclusions are drawn about the prospects for integrating artificial intelligence into foreign language teaching. It is noted that the use of artificial intelligence tools in foreign language teaching may prove to be a promising tool for improving the educational process, which will ensure more effective learning in the future.

Meaningful Learning through Virtual Reality and Augmented Reality Technological Environments

Abstract: Augmented reality (AR) overlies manually made materials directly over the real-world materials. Virtual and augmented reality industry committed innovative technologies that can be explored in the field of entertainment, education, training, medical and industrial innovation, and the development are explored. Augmented reality (AR) allows the physical world to be enhanced by incorporating digital knowledge in real time created by virtual machine. Few applications that have used augmented and virtual reality in real-world applications are discussed. VR will make it conceivable to educate in virtual situations that are difficult to picture in physical study halls, such as getting into virtual research facilities, imagining machines, mechanical plants, or even clinical cases. The gigantic prospects of open virtual advancements will make it conceivable to break the limits of formal instruction.

A Separate Reality: An Update on Place Illusion and Plausibility in Virtual Reality

We review the concept of presence in virtual reality, normally thought of as the sense of “being there” in the virtual world. We argued in a 2009 paper that presence consists of two orthogonal illusions that we refer to as Place Illusion (PI, the illusion of being in the place depicted by the VR) and Plausibility (Psi, the illusion that the virtual situations and events are really happening). Both are with the proviso that the participant in the virtual reality knows for sure that these are illusions. Presence (PI and Psi) together with the illusion of ownership over the virtual body that self-represents the participant, are the three key illusions of virtual reality. Copresence, togetherness with others in the virtual world, can be a consequence in the context of interaction between remotely located participants in the same shared virtual environments, or between participants and virtual humans. We then review several different methods of measuring presence: questionnaires, physiological and behavioural measures, breaks in presence, and a psychophysics method based on transitions between different system configurations. Presence is not the only way to assess the responses of people to virtual reality experiences, and we present methods that rely solely on participant preferences, including the use of sentiment analysis that allows participants to express their experience in their own words rather than be required to adopt the terminology and concepts of researchers. We discuss several open questions and controversies that exist in this field, providing an update to the 2009 paper, in particular with respect to models of Plausibility. We argue that Plausibility is the most interesting and complex illusion to understand and is worthy of significant more research. Regarding measurement we conclude that the ideal method would be a combination of a psychophysical method and qualitative methods including sentiment analysis.

ПЕРЕЖИВАНИЕ КРИЗИСА ТРАНЗИТИВНОСТИ В РЕАЛЬНОМ И ВИРТУАЛЬНОМ ПРОСТРАНСТВАХ: ЛИЧНОСТНЫЙ И СОЦИАЛЬНЫЙ КОНТЕКСТ

Approaches to the study of the specifics of the experiences of instability and uncertainty of the world around by people of different ages are presented. The necessity of developing a new methodology, including both – the modern transitivity and uncertainty of the surrounding world, and the peculiarities of human experience of digital everyday reality is shown. Personal and social factors that affect the emotional state of people in a mixed space, primarily the change in social roles and statuses, styles of communication and activity, the specifics of information processing in the real space of interaction and in the Internet network space are revealed. The data obtained showed that during an acute crisis, the most important factor that reduces anxiety is the information necessary for orientation. With some stabilization of the situation, the ability to act (communicate, study and work) in a mixed space comes to the fore. This is what helps to reduce personal anxiety. Our materials also shows that television series and, in part, movies can act as an additional space that also leads to increased emotional well-being. Virtual reality plays a special role in experiencing the crisis. The degree of immersion in this reality, as well as the content of the images presented, reflecting various aspects of crisis situations, significantly reduce negative emotions. Regardless of the degree of identification with the imaginary situation, milder social crises were associated by respondents with landscapes, travel, and recreation. Severe social and personal crises were associated with situations of wars, struggles, conflicts, chases. The data obtained make it possible to construct options for additional and virtual situations that allow increasing the resistance of respondents to crisis situations of various natures and developing a process for presenting these situations.

Phenomenology of adolescent parenting injuries in cyberspace

Background and Aim: Today's world has accelerated to digitize, and the number of users is increasing every moment. Cyberspace, along with its benefits, also causes damage. The purpose of the present study was to formulate and validate adolescent adolescent education programs in cyberspace to help help adolescents and community mental health and reduce cyberspace damage. Methods: The present study was a qualitative type of contextual theory, and the research data was obtained using semi -structured and deep interviews with parents who had the criteria for entry into the Delphi method. Open, central and theoretical codes were then extracted, and based on them, a conceptual model was designed in the field of damages and strategies caused by cyberspace. Results: That indicates that parenting styles in different social situations, including virtual situations, have changed, the findings showed that parents are out of power because of their special injuries Conclusion: The results of the study indicate that if parents and adolescents receive the necessary and timely awareness, many of the damage and conflicts between them as well as the damages caused by cyberspace for adolescents and their families will be prevented

Mental health nurses' disaster nursing competencies: A cross-sectional study.

The unprecedented and prolonged coronavirus disease 2019 (COVID-19) pandemic has escalated the gravity of disasters in the field of mental health. Nurses are health care providers who play a pivotal role in all phases of disaster management and psychiatric nurses are required to be prepared and equipped with competencies to respond to such disasters. This cross-sectional study aimed to investigate the effects of mental health nurses' professional quality of life on disaster nursing competencies. This study adhered to the STROBE checklist for observational research. Data were collected from 196 mental health nurses working in various settings, including hospitals and communities in South Korea. Compassion satisfaction and compassion fatigue were measured using the Korean version of the Professional Quality of Life Scale. Disaster nursing competencies were measured using the Disaster Nursing Preparedness-Response Competencies Scale. Multiple regression analysis showed that compassion satisfaction (β = 0.36, P < 0.001) was the most potent predictor of disaster nursing competencies of mental health nurses, followed by participation in disaster nursing (β = 0.15, P = 0.023) and disaster nursing-related education (β = 0.15, P = 0.026); these factors explained 30.1% of the variance. Education programmes ensuring that mental health nurses are adequately prepared for disaster management should include theoretical content as well as simulation training using virtual situations that resemble actual disasters. Further, supportive leadership and work environments that encourage cohesive teamwork are needed to increase compassion satisfaction of nurses.

Music as a non-arbitrary avenue for exploration of the social

The article examines how music affords exploration of social aspects of semiosis: how music signifies the social, beyond the fact that music is an inherently participatory social process.&#x0D; Pentti Määttänen extends Peirce’s notion of ‘hard fact’ to ‘soft facts’ to which we accommodate our behaviour in order to get along in society. As mutual beliefs, soft facts are continuously tested and updated in inquiry. Representation of oneself is also continuously correlated, thrown together, with that of the rest of the world, yielding positioning of self in ways we call emotions.&#x0D; In music, com-positions of sound constitute hard facts that stand for other facts, soft or hard, by being their metaphors. Shaping and reshaping music allows for safe playing and testing of acts and events, anticipating upcoming situations and changes through virtual situations of the world, social and non-social.&#x0D; Music analysis examines how features of sound offer complex ways of constructing and interpreting metaphors, and how the narratives in music unfold through presentation of metaphors of subjects’ existence, identity and relations, evoking dialogue, drama, tension, even crises to be resolved.

Rehabilitation in multiple sclerosis in 2021

Patients with multiple sclerosis, despite advances in therapy, often suffer from locomotor impairment that limits their mobility and affect quality of life. Rehabilitation is part of the treatment of MS and has shown its beneficial effects in numerous studies. While traditional rehabilitation techniques remain in the limelight, new technologies are emerging and make it possible to improve the management of disabling symptoms. The aim of this update is to synthesize the new therapy techniques proposed in rehabilitation for patients with multiple sclerosis according to the symptoms as balance, gait, upper limb disorders, fatigue, spasticity and disease progression published over the past 5 years. With regard to balance and walking disorders, neuromotor rehabilitation, physical exercise, rhythmic auditory stimulation, gait robot training and exergaming are effective. Only physical exercise has shown a positive effect on fatigue management. Spasticity is improved by classic rehabilitation techniques however non-invasive brain stimulation are promising.The rehabilitation of upper limb dysfunctions uses various effective techniques such as the repetition of functional tasks in real or virtual situations. In case of a more severe disability, arm robots can be used to relearn the impaired movement. Action observation training in real or virtual situations is also effective. Finally, under certain conditions the constraint induced movement therapy is proposed. The effects of rehabilitation are not only positive on the pyramidal symptoms and fatigue but also increase neuroplasticity and perhaps a neuroprotective effect as shown in some studies.

Virtual Reality For Electrical Machine

Virtual Reality (VR) is an innovation that enables a client to collaborate with a computer-mimicked climate, regardless of whether that climate is a recreation of this present reality or a conjured universe. It is the way to find, feel and contact with the past, the present and what is to come. It is the vehicle to make our own reality, our own altered reality. It could go from making a computer game to taking a virtual tour of the universe, from wandering through our own fantasy house to finding a walk on a strange planet. With computer-generated reality, we can meet the most frightening and boring circumstances by playing safe and with a learning point of view.&#x0D; Mechanical maintenance preparation requires significant investment. Must be legitimate public information personnel before playing out any support on apparent devices and must have an appropriate maintenance and security setting applicable to the specific device support is performed on. Two organizations and scientific institutions face preparing limits when ordering maintenance for replacers or workers.&#x0D; Virtual Reality situations deal with the issue of access, cost, support, firm plan, and well-being. Virtual reality situations using Game-Engine phases (for this mode, Unity), Computer-Aided-Design display and C# programming to execute what is needed in a VR reality head where a student is perfectly suited to speak with environmental factors through kidnapping, contact, holding, dropping, tossing and more through existing virtual reality controllers.

Pembelajaran Bahasa Jepang Perhotelan III Berbasis Daring di Masa Pandemi Covid-19

This study aims to determine the learning process of Japanese Language Hospitality during the Pandemic Covid-19 period. This study was researching effectiveness of the online distance learning process and evaluate the weakness and problem occurred during learning process. This research was conducted on 43 students of the Faculty of Tourism at Triatma Mulya University Diploma IV Hospitality Program in Third Semester, Academic Year 2020/2021. The respondent was choosen from students who have learned Japanese Language Hospitality 3 on one semester from June to December 2020. The data collection method in this study used documentation techniques and questionnaires via google form. The online-based learning process carried out in this study is to create virtual classroom learning situations through online-based e-learning methods. Students not only listeners in class, but students are strongly directed to presentation about hotel hospitality using Japanese Language. The problem during learning process of Japanese Hospitality online are, the lack of supporting facilities in online class, less concentration and other distractions.

From logos to image: the trends in transformation of modern culture

The subject of this study is the transformation of modern culture associated with the visual turn. Using the dialectical method and systemic analysis, the author determines the trends in transformation of modern culture. The goal of article is to demonstrate the essence such changes, their vector and impact upon individual and society. The factors of transformation, its manifestations, and consequences are revealed. The works of the representatives of philosophy, culturology, sociology, history, etc. comprise the theoretical framework for this research. The empirical base contains the results of sociological survey conducted 2020 on the premises of two universities in the Altai Krai. The novelty consists in identification of the trends of cultural transformation under the influence of visual turn, their positive and negative consequences for individual and society, as well as generalization of numerous manifestations of these trends. The main conclusion of this study is the author's position about serious and contradictory transformations in society under the influence of visual rotation. The impact of visual rotation has both positive and negative development trends and their consequences. Among the positive effects of the visual turn, the author highlights stimulation of the development of visual thinking, which depends on functioning of the right brain. The author also indicates negative consequences of the visual transformation of culture. Perception through images weans people from thinking. Receiving information through images, rather than through speech, increases the clipping nature of consciousness. This entails the possibility of formation of an individual subject to manipulation. The presentation of images on the Internet and arrangement of visual series develops the habit of expecting &amp;ldquo;the solution of your problems by someone else&amp;rdquo; in the situation of choice. Another consequence of the transition from logos to image is the formation of prerequisites for &amp;ldquo;easy&amp;rdquo; submersion into virtual situations.

감각을 통한 실재의 재구성

This study starts with observing modern society as a large, complex object that constantly pours out information. The context for understanding society is composed of information, but due to excessive information, the context becomes loose and the information falls out of context. When we observe nature, we intuitively grasp and understand it through our own experiences and perceptions. In order to grasp our variable modern human society, it is necessary to have a fluid posture, similar to when looking at nature, and I think this is possible through continuous observations of an object through 'playful immersion' and 'contemplation'. When paying attention to an actual object in this way, the nature of the object can be experienced from an open perspective, and the object is recognized as an independent, autonomous object that can exist without human intervention. The sensory memories obtained from the object through perception are sensations, i.e., feelings or impressions, and they accumulate as experiences with the object are repeated, forming their own ‘connection-context’. The main objects of the work are shoes, signs, and maps. Each of these materials is an individual object and forms a network of relationships, allowing researchers to recognize the world as a compact model. They are installation works that create virtual situations for actual places or world maps, and video works that expand the montage characteristics of digital images and draw images as virtual spaces into real spaces through body movements and voices. The researcher here attempts to see 'another reality of the object' as a link that constitutes the world by expanding the free sensuous nature of human beings, beyond our understanding of society through existing rational judgments or logical thinking.

Terrain Identification for Humanoid Robots Applying Convolutional Neural Networks

Stable and efficient walking strategies for humanoid robots usually relies on assumptions regarding terrain characteristics. If the robot is able to classify the ground type at the footstep moment, it is possible to take preventive actions to avoid falls and to reduce energy consumption. In this article, a new terrain identification method that makes use of a convolutional neural network to classify the terrain type is proposed. The input of this network is a bidimensional matrix-a signature image of the impact-composed of raw data from inertial and torque sensors, sampled after the impact between the foot and ground. Six different terrains types were selected for testing the proposed approach: these terrains were tested both in simulation using the Gazebo 9.0 environment and with one real robot, designed to satisfy the requirements for the RoboCup Humanoid Competition. In both robots the ROS framework was used, and the LIPM was the selected approach for the biped walking pattern generation. Results showed that the proposed method was able to classify the terrain type with an accuracy greater than 98% for both real and virtual situations, surpassing current state-of-the-art terrain classification methods for legged robots.

Predicting Consumption Patterns with Repeated and Novel Events

Small scale blogging stages have gotten instrumental in measuring open mind-set. So it makes a practical prescient technique to theorize the ascent and fall of stock costs. This paper plans to embrace a stepwise strategy to decide the impacts of a individual performance .It includes extricating tweets from twitter, information purifying and use of a reasonable calculation so as to get the satisfactory estimation examination. Models incorporate buying items, tuning in to music, visiting areas in physical or virtual situations, etc. There has been huge earlier work in such settings on creating prescient displaying methods for prescribing new things to people, regularly utilizing procedures, for example, lattice factorization. There are numerous circumstances, in any case, where making expectations for both beforehand devoured and new things for an individual is significant, as opposed to simply prescribing new things. This project is to explore this issue and find that broadly utilized grid factorization techniques are constrained in their capacity to catch significant subtleties in authentic conduct, bringing about generally low prescient precision for these sorts of issues. As an elective to propose an interpretable and adaptable blend model structure that adjusts singular inclinations as far as investigation and misuse.

A parametric model for studying the aorta hemodynamics by means of the computational fluid dynamics

Perturbed aorta hemodynamics, as for the carotid and the coronary artery, has been identified as potential predicting factor for cardiovascular diseases. In this study, we propose a parametric study based on the computational fluid dynamics with the aim of providing information regarding aortic disease. In particular, the blood flow inside a parametrized aortic arch is computed as a function of morphological changes of baseline aorta geometry. Flow patterns, wall shear stress, time average wall shear stress and oscillatory shear index were calculated during the cardiac cycle. The influence of geometrical changes on the hemodynamics and on these variables was evaluated. The results suggest that the distance between inflow and aortic arch and the angle between aortic arch and descending trunk are the most influencing parameters regarding the WSS-related indices while the effect of the inlet diameter seems limited. In particular, an increase of the aforementioned distance produces a reduction of the spatial distribution of the higher values of the time average wall shear stress and of the oscillatory shear index independently on the other two parameters while an increase of the angle produce an opposite effect. Moreover, as expected, the analysis of the wall shear stress descriptors suggests that the inlet diameter influences only the flow intensity. As conclusion, the proposed parametric study can be used to evaluate the aorta hemodynamics and could be also applied in the future, for analyzing pathological cases and virtual situations, such as pre- and/or post-operative cardiovascular surgical states that present enhanced changes in the aorta morphology yet promoting important variations on the considered indexes.