Showing posts with label virtual reality. Show all posts
Showing posts with label virtual reality. Show all posts

Thursday, 20 November 2025

Sociocultural Triggers in the Appreciation of Art and Literature | Chapter 5 | Language, Literature and Education: Research Updates Vol. 9

 

The sociocultural triggers that affect and regulate the working of art and literature in contemporary society have undergone rapid changes over the years. Today, the acceptance and appreciation of literature or any other art form defy common perceptions, parameters, and theoretical interpretations put forth by literary or art critics through their ways of analysis. The self-styled interpreters and value judges of literature or art who have their own theories to hold onto believe that literary appreciation is equivalent to extracting aesthetic lessons from texts or art forms based on established practices. Thus, the recognition and understanding of the content-bearing media, literary devices, critical commentaries, and value judgements by the art critics are believed to precede literary appreciation. However, with poststructuralism and postmodernism slowly drifting away, a wilful rejection of grand narratives has assertively brought in pluralist, reflexive, and pastiche cultures of literary and art appreciation modes. All this has led to a kind of cultural sensibility that oscillates between, synthesises, and transcends the logics of modernism and postmodernism.

 

Thus, the objective of this study is to analyse how technological advances and cultural shifts have altered the way people look upon and appreciate literature and art. The technological advances have recast the nature and scope of life on this planet in a surprisingly brief period of time. Alongside developed a new culture of literary or art appreciation was developed that was more vicarious than participatory. An array of new possibilities offered by the virtual world has also added to this visible shift in the contemporary approaches to the appreciation of art and literature.

 

The common assumption is that literature springs from spontaneous, imaginative streaks of genius that demand reflection and analysis to extract its essence, leading to delight. However, the sights and sounds emanating from the sites of performances and the scenes of entertainment make us think otherwise. There are instances that reiterate the role of the epidemic frenzy chiefly perpetuated by the visual media and internet social network groups. When entertainment becomes visualised and vicarious, frenzy develops from the impulsive outbursts of the mind submerged in virtual reality. There is entertainment even in those events and emotions that are capable of generating crude excitement. There used to be a time when art and literature offered soothing tranquillity to troubled minds, but now it is the frenzied mind that sets the norms of excellence in addition to its blatant indulgence in meanness and crudity. The study, therefore, tries to establish that the virtual media-driven frenzy is systematically displacing traditional reflective and critical analysis as the dominant mode of literary appreciation, raising questions about the future of critical engagement with art and literature.

 

People these days move on rapidly, leaving behind the objects that entertain them. They never pause to have a closer look, nor do they reflect on the objects that captured their attention or imagination. How can, then, their appreciation and ways of entertainment exhibit deep levels of thinking solidly backed up by theories and ideologies? Thus, appreciation becomes highly relative to individual sensitivity and impulsive, attitudinal responses that abruptly erupt with the assistance of viral marketing or by the manipulation of public sentiments in social media circles. Literary or art appreciation, therefore, shows the impact of impulsive impressions rather than a premeditated or aesthetically fine-tuned sensibility obtained from works of art. The post-modern reader or spectator keeps contemporary literature away from its formative function of helping man to perfect his rational essence by refining or reforming his sensibilities. On the other hand, his mode of appreciation inverts its stature to bury its intrinsic value under the floating façade of vicarious entertainment. Hence, the observable form of the exposition on the nature of appreciation is the absence of any stable formative basis.

 

Author(s) Details

Savio James V.
Mary Matha Arts & Science College, Vemom, P O Mananthavady, 670 645, Wayanad (Dist), Kerala, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/lleru/v9/6515

Tuesday, 9 September 2025

Artificial Intelligence and Virtual Reality in Surgical Training: Enhancing Skill Acquisition and Procedural Proficiency | Chapter 12 | Medical Science: Recent Advances and Applications Vol. 9

 

The integration of Artificial Intelligence (AI) and Virtual Reality (VR) in surgical training has profoundly transformed medical education and technical skill acquisition. In this context, “skill” is defined as a goal-directed motor pattern executed with a specified level of quality and precision, distinct from general abilities, dexterity (purely motor control), and competence (the application of skills in real clinical scenarios). AI-powered simulations, coupled with VR-based training platforms, create highly immersive, interactive, and risk-free environments that allow surgical trainees to practice and refine complex procedures with enhanced precision. These systems simulate real-life anatomical variations and intraoperative scenarios, facilitating improved decision-making and procedural accuracy. Real-time feedback mechanisms, adaptive learning algorithms, and personalised skill enhancement pathways support the development of competence by aligning training with each trainee’s individual learning pace and style. Furthermore, AI enables objective performance tracking through quantitative metrics such as hand movement efficiency, error rates, and task completion times, which support competency-based assessments and predictive modelling of future performance. By overcoming traditional limitations—such as restricted access to cadavers or live patients, variable case exposure, and ethical constraints—AI and VR technologies ensure standardised, reproducible, and scalable surgical training. However, current VR systems remain limited by inadequate haptic feedback, which can restrict the full transfer of tactile skills to real surgical procedures. Examples of current real-world implementations include the da Vinci Surgical System for robot-assisted procedures and augmented 360° VR modules for neurosurgical training. Despite these advances, challenges remain, including high implementation costs, limited haptic feedback, validation requirements for AI algorithms, and ethical considerations such as data privacy and algorithmic bias. By addressing these challenges, AI and VR have the potential to standardise surgical education, improve trainee proficiency, and enhance patient safety. This review comprehensively examines the current advancements, pedagogical benefits, and inherent challenges of incorporating AI and VR into surgical education, emphasising their role in shaping the next generation of surgical professionals and enhancing overall patient safety.

Author(s) Details

 

Ravi Piraji Desai
Department of General Surgery, Banas Medical College and Research Institute, Palanpur, Gujarat, India.

 

Khushboo Patel
GMERS Medical College, Vadnagar, Gujarat, India.

 

Priyanka Paresh Ruparel
Narendra Modi Medical College, Ahmedabad, Gujarat, India.

 

Jaydeep Kagathara
Department of Physiology, Bhagyoday Medical College, Kadi, Gujarat, India.

 

Jitendra Patel
Department of Physiology, GMERS Medical College, Vadnagar, Gujarat, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/msraa/v9/6043

Thursday, 31 July 2025

Transforming STEM Education through Social-Emotional Learning and AI: Enhancing Engagement and Emotional Intelligence | Chapter 2 | Language, Literature and Education: Research Updates Vol. 7

 

Social-emotional learning (SEL) plays a pivotal role in fostering engaged learning by enhancing students' emotional intelligence, which is essential for deep conceptual understanding and effective collaboration in STEM education. SEL is known to improve student outcomes but is rarely combined with STEM. This review highlights the role of SEL in Promoting Engaged Learning and Deep Conceptual Understanding in STEM education. The incorporation of artificial intelligence (AI) alongside social-emotional learning (SEL) can enhance student engagement and foster a more inclusive learning environment in STEM education. Integrating AI with SEL strategies not only supports diverse learning needs but also promotes equity, allowing all students to thrive in STEM fields. Moreover, by leveraging AI tools that align with SEL principles, educators can create personalised learning experiences that cater to the emotional and academic needs of each student, thereby enhancing overall educational outcomes. This approach emphasises the importance of collaborative efforts among educators, policymakers, and technologists to ensure effective implementation and equitable access to AI-driven SEL strategies in STEM education. Addressing these challenges requires ongoing professional development for educators and a commitment to ethical practices that prioritise student well-being and equitable access to resources in AI-enhanced learning environments. This synergy of AI and SEL in STEM education underscores the need for comprehensive frameworks that prioritise both academic success and emotional well-being, ultimately preparing students for future challenges. Ultimately, a holistic approach that combines AI, SEL, and STEM education can significantly improve learning experiences and outcomes for all students, especially those from underrepresented backgrounds. This integration not only addresses the diverse needs of students but also helps bridge the achievement gaps prevalent in STEM education, especially for those with disabilities. This holistic strategy can empower students with disabilities, ensuring they receive the necessary support to excel in STEM fields and contribute to a more diverse workforce. Furthermore, it is essential to continuously evaluate the effectiveness of AI and SEL integration, adapting strategies based on feedback and emerging research to maximise their impact on student learning and inclusivity. This integration can lead to innovative teaching practices that not only enhance academic performance but also support the emotional development of students, fostering a more equitable educational landscape.

Author(s) Details

Bhavna Galhotra
Jagan Institute of Management Studies, Rohini, New Delhi, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/lleru/v7/5850

Sunday, 27 July 2025

Culturally Responsive Digital Interiors: Exploring Identity, Tradition and Spatial Design | Chapter 6 | Materials That Matter: The Future of Interiors through Innovation

 

Digital spaces are reshaping interior spaces, enabling the expression of cultural identity and the depiction of traditional culture, spatial rituals, and aesthetic tastes in digital spaces. The research investigates the role of digital technologies in interior design in preserving, transforming, and evolving cultural identities. It seeks to analyse how digital interiors are being used as a means of expressing cultural continuity, promoting inclusivity, and enriching personalisation in a globalised digital space. The study employs qualitative, interpretive methods with comparative case studies, visual analysis, and user interviews. Results show clear patterns of localisation, hybridisation, and cultural continuity in digital interiors. Users incorporate conventional motifs, colours, religious symbols, and rituals in virtual environments, particularly in diasporic communities. Technologies such as VR and IoT enable culturally responsive design but raise challenges such as restricted access and platform limitations. Digital media provide innovative opportunities to reconceptualise heritage in forms that are immersive and inclusive. The research highlights the necessity of culturally responsive design approaches that reconcile contemporary technologies with the maintenance of identity, tradition, and membership.

Author(s) Details

Pallavi Raila
Sharda School of Design, Architecture and Planning, Sharda University, Greater Noida, India.

 

Varun Kanojia
Sharda School of Design, Architecture and Planning, Sharda University, Greater Noida, India.

 

Khushboo Zehra Naqvi
Sharda School of Design, Architecture and Planning, Sharda University, Greater Noida, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-81-990398-6-5/CH6

Monday, 23 June 2025

Transforming Nursing Education: The Role and Impact of Augmented and Virtual Reality Training | Chapter 5 | Medicine and Medical Research: New Perspectives Vol. 5

Augmented reality (AR) and virtual reality (VR) are technologies that enhance the perception of reality by superimposing computer-generated images, sounds, or other sensory enhancements on a user's real-world environment. AR and VR training in medical education is crucial as it allows students to practice complex procedures in a safe and controlled environment, improving their skills and confidence. AR and VR training in nursing education has shown promise in memory retention, independent learning, critical thinking, decision-making, skill development, better patient outcomes, and job satisfaction. However, challenges such as potential motion sickness, difficulty adapting to the virtual environment, and the need for additional training are still present. Nurse educators face challenges such as the cost of implementing the technology, the need for ongoing technical support, and the time required to develop and maintain high-quality virtual simulations. Despite these challenges, the use of AR and VR in nursing education shows great promise in enhancing learning experiences and improving patient outcomes.

 

Author (s) Details

Sakshi Chaturvedi
Faculty of Nursing, Banasthali Vidyapith, Rajasthan, India.

 

Chakrapani Chaturvedi
Faculty of Nursing, Banasthali Vidyapith, Rajasthan, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mmrnp/v5/2030

 

Monday, 9 June 2025

Using Ensemble Machine Learning: A Multifaceted Approach to Predicting Rehabilitation Outcomes | Chapter 2 |Disease and Health Research: New Insights Vol. 8

The field of rehabilitation for individuals with neuromuscular diseases has witnessed significant advancements, driven by the convergence of robotics, assistive technologies, and machine learning. These innovations are reshaping how rehabilitation is approached, offering new possibilities for personalized, effective, and efficient treatments that were previously unattainable. This chapter delves into the transformative role of these technologies, emphasizing the development and application of ensemble machine learning models specifically designed to predict rehabilitation outcomes. The study provides a comprehensive overview of the current state of rehabilitation technologies, focusing on the integration of robotics and orthotics into therapeutic practices. Robotics and assistive technologies, such as powered exoskeletons and smart orthoses, are becoming increasingly vital in enhancing the mobility and autonomy of patients with neuromuscular impairments. These devices are not only extending the capabilities of traditional rehabilitation methods but are also enabling more precise and controlled therapeutic interventions that can be tailored to the unique needs of each patient. In the following sections, this study explores the intricate design and functionality of orthoses and assistive robots, illustrating how these devices are engineered to support and augment human movement. The chapter discusses various types of orthotic devices, from simple mechanical braces to advanced robotic systems that interact seamlessly with the human body, adapting to the user's movements and providing real-time feedback. These innovations are shown to significantly improve the effectiveness of rehabilitation exercises, accelerate recovery times, and enhance overall patient outcomes. Central to this discussion is the introduction of a novel, multifaceted approach to predicting rehabilitation outcomes using ensemble machine learning models. These models, which combine the strengths of multiple algorithms, are designed to capture complex patterns in patient data, thereby providing more accurate and reliable predictions of rehabilitation success. This study present a detailed analysis of the development process of these models, including the selection of relevant features, the training and validation of the models, and the implementation of advanced visualization techniques to interpret the results. Through rigorous cross-validation and real-world testing, the robustness of these ensemble models is demonstrated in predicting outcomes across diverse patient populations. The results indicate that these models outperform traditional predictive methods, offering superior accuracy and the ability to generalize across different patient scenarios. The chapter also includes a series of visualizations that illustrate the importance of various features in the prediction process, the relationship between actual and predicted outcomes, and the distribution of model residuals. Furthermore, this study discusses the implications of these findings for clinical practice. The ability to predict rehabilitation outcomes with high precision allows clinicians to tailor interventions more effectively, optimizing treatment plans for individual patients and potentially reducing recovery times. The chapter concludes by considering the broader impact of these technologies on the healthcare system, highlighting the potential for machine learning models to drive innovation in personalized medicine and rehabilitation. Looking forward, several key areas for future research were identified including the integration of real-time data analytics into rehabilitation devices, the development of more sophisticated models that can adapt to changing patient conditions, and the exploration of new forms of human-machine interaction that can further enhance the efficacy of rehabilitation. The ongoing evolution of these technologies promises to open new frontiers in the treatment of neuromuscular diseases, ultimately improving the quality of life for millions of patients worldwide.

 

Author (s) Details

Rocco de Filippis
Institute of Psychopathology, Rome, Italy.

 

Abdullah Al Foysal
Computer Engineering (AI), University of Genova, Genova, Italy.

 

Please see the book here:- https://doi.org/10.9734/bpi/dhrni/v8/2486

 

Monday, 28 April 2025

AI-Powered Simulations for Medical Training: A Game-Changer in Skill Development | Chapter 4 | Medical Science: Trends and Innovations Vol. 13

The integration of Artificial Intelligence (AI)-powered simulations in medical training has revolutionised skill development by providing an interactive, immersive, and adaptive learning environment. These simulations leverage machine learning, virtual reality (VR), augmented reality (AR), and deep learning algorithms to create realistic clinical scenarios, enabling medical professionals to practice decision-making, procedural techniques, and diagnostic skills in a risk-free setting. AI-driven simulations enhance competency-based education, personalised learning, and real-time feedback, ensuring improved clinical proficiency and patient safety. This book chapter explores the role of AI-powered simulations in medical education, their impact on cognitive and psychomotor skill acquisition, and the challenges associated with their adoption. The findings suggest that AI-based simulations are a game-changer in medical training, offering scalable, cost-effective, and high-fidelity learning experiences that bridge the gap between theoretical knowledge and real-world clinical practice.

 

Author (s) Details

 

Latif Bagwan
Department of General Surgery, Nootan Medical College and Research Centre, Visnagar, Gujarat, India.

 

Rajesh Gouri
Department of General Surgery, Gujarat Adani Institute of Medical Sciences, Bhuj, Gujarat, India.

 

Avani V Mendpara
H J Doshi Hospital, Rajkot, Gujarat, India.

 

Azmat Kamal Ansari
Department of Biochemistry, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India.

 

Brijesh R. Koyani
H J Doshi Hospital, Rajkot, Gujarat, India.

 

Please see the book here:-  https://doi.org/10.9734/bpi/msti/v13/5223

Wednesday, 23 April 2025

AI-Powered Simulation and Virtual Reality in Medical Training: Current Trends and Future Prospects | Chapter 15 | Medical Science: Trends and Innovations Vol. 12

The integration of Artificial Intelligence (AI) and Virtual Reality (VR) in medical training has revolutionized the learning experience by providing immersive, interactive, and adaptive simulations. AI-powered VR platforms enable personalized training, real-time feedback, and risk-free environments for skill acquisition, making them valuable tools for medical education and surgical practice. This review explores the current advancements in AI-driven VR simulations, including their applications in clinical skills training, patient management, and surgical procedures. Additionally, the challenges associated with implementation, such as cost, accessibility, and ethical considerations, were analyzed. The future prospects of AI in medical training are also discussed, highlighting potential innovations such as haptic feedback integration, natural language processing for virtual patient interactions, and AI-driven assessment tools. AI-powered VR simulations are poised to bridge the gap between theoretical knowledge and practical expertise, transforming the future of medical education.

 

Author (s) Details

Nandini Srivastava
Department of Physiology, Maharshi Vashishtha Autonomous State Medical College, Basti, Uttar Pradesh, India.

 

Darshan Dipakbhai Shah
Department of Emergency Medicine, Pramukh Swami Medical College and Shree Krishna Hospital, Bhaikaka University, Karamsad, Gujarat, India.

 

Vijay Kumar Srivastava
Department of Orthopaedics and Traumatology, Divisional District Hospital, Azamgarh, Uttar Pradesh, India.

 

Sunil Chhajwani
Department of Emergency Medicine, Pramukh Swami Medical College and Shree Krishna Hospital, Bhaikaka University, Karamsad, Gujarat, India.

 

Jitendra Patel
Department of Physiology, GMERS Medical College, Vadnagar, Gujarat, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/msti/v12/4987

Sunday, 23 March 2025

Constructivist Learning in Virtual Reality: Enhancing Classroom Engagement through VRLEs | Chapter 4 | Language, Literature and Education: Research Updates Vol. 2

All across the nation’s educational institutions, creative strategies are developed that attempt to increase student recruitment and retention. These initiatives seek to engage and motivate in order to attract new students and assist existing students in progressing through their degree programs. Virtual Reality Learning Environments (VRLEs) are an innovative strategy to meet these goals. Some disciplines have been using VRLEs for student learning for several years (e.g., computer science, medicine, and engineering); however, the technology has not been used more broadly in others. This is changing due to the lower cost and widespread availability of the software and hardware required to use virtual reality; however, more research needs to be conducted to determine the overall barriers to VRLE implementation and the ways practical VRLEs can be linked to research and theory. A descriptive study was created to investigate, explore, and review the challenges of using VRLE. Results showed that challenges center around these areas: (a) costs, (b) space, (c) accessibility, (d) usability and training, and (e) cybersickness. A flexible and affordable VRLE can provide a solution to these challenges, particularly when framed within a constructivist lens. A seven-step model for constructive implementation of VRLEs is proposed as a result. VRLEs in the education setting are considered constructive when they include active learning, creation of meaning, individual exploration, open-ended interactions, creative contexts, critical thinking, reflection, documentation, comparison, and contrast. The proposed model would interest anyone who would like to know more about virtual reality and the implications it has for the classroom setting.

 

Author (s) Details

Kelly C. Dreger
Department of Leadership, Technology and Workforce Development, Valdosta State University, 1500 N. Patterson St., Valdosta, GA 31698, USA.

 

Please see the book here:- https://doi.org/10.9734/bpi/lleru/v2/4744

Saturday, 1 March 2025

Augmented and Virtual Reality in Medical Treatment: Machine Learning's Transformative Impact | Chapter 3 | Science and Technology: Developments and Applications Vol. 1

This chapter explores the transformative role of machine learning techniques in advancing medical treatment assistance, particularly through the integration of augmented reality (AR) and virtual reality (VR) technologies. By bridging the domains of artificial intelligence, immersive technologies, and healthcare, this study explores how the synergy between machine learning, AR, and VR has the potential to redefine medical diagnostics, surgical precision, patient care, and professional medical training.

The chapter presents a comprehensive analysis of recent technological advancements, emphasizing the application of machine learning algorithms for real-time data analysis, predictive modeling, and decision-making in AR/VR-enabled environments. It highlights the role of AR in overlaying critical diagnostic information and VR in simulating realistic scenarios for training and treatment planning. Through case studies and emerging trends, the research showcases the effectiveness of these combined technologies in achieving more accurate diagnoses, facilitating minimally invasive surgeries, optimizing patient rehabilitation, and enhancing the experiential learning of medical professionals.

Additionally, this study discusses the implications of integrating machine learning in AR/VR systems, such as improved personalization of patient care, reduced medical errors, and the development of intelligent, adaptive healthcare tools. By addressing the challenges and opportunities in this interdisciplinary field, the chapter aims to underscore the pivotal contributions of machine learning-powered AR and VR technologies in revolutionizing modern healthcare practices and shaping the future of medical treatment assistance.

 

Author (s) Details

 

Sanjeev Gour
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Manish Joshi
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Hemant Pal
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

A.R. Qureshi
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/stda/v1/3688

Friday, 31 January 2025

Analyzing Eye Movement Complexity in Virtual Reality Environments | Chapter 3 | Science and Technology- Recent Updates and Future Prospects Vol. 6

This chapter advances the analysis of gaze dynamics by employing Multiscale Entropy (MSE) to evaluate 5020 binocular eye movement recordings from 407 college-aged participants. Utilizing the comprehensive GazeBaseVR dataset, this study investigates the complexity of user interactions across a variety of virtual reality (VR) tasks such as vergence, smooth pursuit, video viewing, reading, and random saccades. The data, collected at 250 Hz using an ET-enabled VR headset, provides a robust foundation for understanding the predictability and complexity of gaze patterns. By incorporating a longitudinal perspective from recordings taken up to six times over a 26-month period, this analysis deepens our understanding of eye movement behavior in VR environments. This chapter highlights the potential of MSE in crafting more intuitive and immersive VR interfaces, thereby enhancing user experience. Recent advancements and additional references have been included to discuss the evolving role of MSE in optimizing VR technology for personalized and comfortable user interactions.

 

Author (s) Details

Sahar Zandi

Department of Architecture, Texas A&M University, College Station, TX 77843, USA.

Gregory Luhan

Department of Architecture, Texas A&M University, College Station, TX 77843, USA.

 

Please see the book here:- https://doi.org/10.9734/bpi/strufp/v6/739

Thursday, 14 March 2024

Synthesizing Evidence on the Use of Virtual Reality and Augmented Reality in Medical Education and Health Care Practice: A Scoping Review | Chapter 11 | Recent Updates in Disease and Health Research Vol. 3

 Augmented reality (AR) is a cutting-edge technology that merges digital three-dimensional representations with physical inputs. Accessible via portable devices, it provides an immersive setting for learning. Augmented reality has many potential uses in many fields, such as the arts, healthcare, retail, marketing, education, the military, tourism, travel, architecture, engineering, and manufacturing. Important in light of the COVID-19 epidemic and the trend towards online education, it excels in remote and interactive learning. The systematic review methodology used to source articles for inclusion in the study. The effects of AR on medical students' experiences and learning are investigated in this study. Among the goals of AR-based learning that they cover is the need to simplify otherwise difficult concepts. Medical students' knowledge, abilities, and social relationships may all be improved with the use of augmented reality, according to the experts. They shows certain augmented reality in medical training programmes such as HoloPatient, OculAR SIM, and HoloHuman. This Book chapter provides an insightful exploration of the application of Virtual Reality (VR) and Augmented Reality (AR) in healthcare.


Author(s) Details:

Rajesh Gouri,
Department of General Surgery, Gujarat Adani Institute of Medical Sciences, Bhuj, Gujarat, India.

Punit Patel,
Department of Community Medicine, Banas Medical College and Research Institute, Palanpur, Gujarat, India.

Bhavikkumar Ishvarbhai Pateliya,
Department of General Surgery, Dr M K Shah Medical College and Research Centre, Ahmedabad, Gujarat, India.

Ashish Kharadi,
Department of General Surgery, GMERS Medical College, Godhra, Gujarat, India.

Manish Nagendra,
Department of Microbiology, NSCB Medical College, Jabalpur, M.P, India.

R. Pavani,
Department of Physiology, Government Medical College, Adoni, Andhra Pradesh, India.

Jyothi Vybhavi V S,
Department of Physiology, Sri Chamundeswari Medical College Hospital & Research Institute, Channapatna, Karnataka, India.

Aniruddha Jibhkate,
Department of Physiology, Datta Meghe Medical College, Nagpur, Maharashtra, India.

Jitendra Patel,
Department of Physiology, GMERS Medical College, Vadnagar, Gujarat, India.

Please see the link here: https://stm.bookpi.org/RUDHR-V3/article/view/13713

Wednesday, 3 January 2024

Unveilling the Application, Advantage and Limitation of AR, VR & MR in Immersive Learning Technologies in AEC | Chapter 10 | Contemporary Perspective on Science, Technology and Research Vol. 2

Riveting technologies are now achieved in construction in India. Immersive science is an integration of virtual content accompanying the physical surroundings in a way that allows the consumer to engage naturally accompanying the blended reality. In an hypnotic experience, the user accepts in essence elements of their environment as few the whole, conceivably becoming less conscious that those details are not part of physical truth. In this paper, some key conditions /features such as requests, uses, benefits, challenges, limitations, education, and future facets of AR/VR/MR/and XR have been highlighted counterpart with the suggestion of each case in the construction industry, explanation management, and construction project. The benefits and disadvantages, impact, and purpose of each technology are widespread in this article each technology. Emphasis is likely to introducing and containing each technology in tertiary instruction and curricula of undergraduate and graduate architectural engineering and building management. Adoption of these electronics in construction leads to improvement in creation productivity, adeptness, low cost, and time, that is, in turn, beneficial to the proprietor, contractor, builders, and colleagues on the implication of these immersive electronics.

Author(s) Details:

Ar. Gayatri Mahajan,
Symbiosis School of Architecture, Urban Development and Planning, Pune, India.

Kaustubh Kinge,
Symbiosis School of Architecture, Urban Development and Planning, Pune, India.

Please see the link here: https://stm.bookpi.org/CPSTR-V2/article/view/12907

Wednesday, 12 July 2023

Neurorehabilitation in Neuro-COVID| Book Publisher International

 Corona-virus disease 2019 (COVID-19), caused by the newly emerged coronavirus [severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)], affected the public health in the world. Acute and chronic neurological issues, considered as consequences of COVID-19, are denominated Neuro-COVID.

 

Physical rehabilitation should be offered to all patients with Neuro-COVID.

 

Rehabilitation procedures begin during the acute stage and continue after hospital discharge – in post-acute phase and during long-term treatment.

 

We present principles of neurorehabilitation (NR) in neuro-COVID.

 

Special attention was paid to the process of NR of patients with some neurological complications of COVID-19, as follows: cerebral vascular accidents, spinal ischemic stroke, relapses of multiple sclerosis, Guillain-Barre syndrome, development of rare diseases (as cerebellar ataxia or amyotrophic lateral sclerosis /motor neuron disease/), etc. The importance of grasp and gait recovery for patients’ autonomy in everyday life is underlined.

 

We emphasize on the impact of Information and Communication technologies (ICT) in the clinical practice: robotics, neurorobotics, virtual reality.

 

We accentuate on the role of digital competences of members of the interdisciplinary and multi-professional rehabilitation team.

 

We present typical and rare clinical cases (consequences and complications of COVID-19), treated by robotic neurorehabilitation.

 

Our results demonstrated positive effects of ICT-application on the neuroplasticity, functional recovery and quality of life of neurological patients.

Author(s) Details:

Ivet Borissova Koleva,
Medical University of Sofia, Bulgaria, Multi-profile Hospital for Long-term Care and Rehabilitation “Serdika” with Medical Center for Robotic Neurorehabilitation “ReGo”, Bulgaria and National Heart Hospital, Cardiorehabilitation Department, Sofia, Bulgaria.

Borislav Radoslavov Yoshinov,
Medical Faculty, Sofia University, Sofia, Bulgaria.

Radoslav Radoslavov Yoshinov
University for Library Studies and Information Technologies UNIBIT, Sofia, Bulgaria.

Saturday, 28 January 2023

Assessing Employees’ Perceptions on the Influence of Technology on Recruitment in a Cape Town Engineering Company| Chapter 2 | Current Aspects in Business, Economics and Finance Vol. 8

 The realm of recruitment is fast changing as the Fourth Industrial Revolution (4IR) takes root in association. The 4IR is characterised by the increasing potential of technology therefore the traditional habits of how trade is being conducted, are being challenged. For associations to stay on current in today's free competition, they need to integrate and equal the rise of technology in conscription. This study, therefore, embarked on understanding the influence of science on recruitment. The determinable study assessed attendants’ perceptions on the influence of science on recruitment in a Cape Town engineering guest. The results of this study disclosed that there is a greater preference towards the use of science in recruitment as opposite to traditional methods of conscription. Interestingly the findings revealed that while organisations use a technologically driven conscription approach, traditional conscription methods are not entity of the past. A self-developed research model concerning the findings of the study has happened proposed to help organisations, administrators, HRM professionals, and recruiters accompanying strategies for a technologically enhanced conscription process, and to also learn the influence of technology on the conscription process thus accumulating a new contribution to the friendship between technology and conscription.

Author(s) Details:

Tanisha Sulagan,
School of Management, Information Technology and Governance, University of KwaZulu-Natal, South Africa.

Anisha Ramsaroop,
School of Management, Information Technology and Governance, University of KwaZulu-Natal, South Africa.

Please see the link here: https://stm.bookpi.org/CABEF-V8/article/view/9191

Friday, 17 September 2021

Training Application for Industries by Means of Virtual Reality Technology: A Recent Study | Chapter 8 | Current Topics on Mathematics and Computer Science Vol. 10

 Augmented and virtual reality is one of the pillars of Industry 4.0. It can increase real-time perception of industrial operations, among other things. The goal of this study is to establish a starting point for expanding the use of virtual reality headsets (e.g., HTC Vive, Oculus Rift, etc.) by combining them into a single application called Virtual and Augmented Reality with Gesture Interaction. The Leap Motion controller is used in this project. This controller has an infrared depth camera that can be used as an input video feed for Oculus Rift stereoscopic viewing while also projecting the raw images of your hands into a 3D mesh that can interact with other items in real-world space (in our case a 3D model of a complex product). The twin Leap Motion cameras travel through a section of the mesh, ensuring that each camera has a different view of the hands, allowing you to perceive the true depth. We can interact with the 3D model and demonstrate how it works. We show a portion of a VR industrial application in a typical industry (door lock production), which may also be utilised for research, training, and advertising.

 

Author(s) Details

Dr. Mihalache Ghinea
Department of Machines and Manufacturing Systems University Politehnica of Bucharest Splaiul Independenţei, 313, sector 6, 060042, Bucharest, Romania

Gicu Calin Deac
Department of Machines and Manufacturing Systems University Politehnica of Bucharest Splaiul Independentei, 313, sector 6, 060042, Bucharest, Romania

Crina Narcisa Georgescu
Department of Machines and Manufacturing Systems University Politehnica of Bucharest Splaiul Independentei, 313, sector 6, 060042, Bucharest, Romania

View Book :- https://stm.bookpi.org/CTMCS-V10/article/view/3753

Monday, 19 July 2021

Advances in Bronchoscopic Simulation Training | Chapter 8 | Challenges in Disease and Health Research Vol. 9

 Flexible bronchoscopy is a key ability for professionals in critical care, pulmonary medicine, and thoracic surgery, among other fields. Traditionally, this skill has been taught through an apprenticeship paradigm, which has known drawbacks in terms of patient safety, procedural volume, and training variability. Simulation-based bronchoscopy training enables for learning in a safe, low-stress setting with no risk to the patient, as well as purposeful practise. With high-quality research suggesting quicker bronchoscopy skill acquisition, increases in muscle memory, and hand-eye coordination, as well as increased trainee satisfaction, simulation-based training is gaining traction. Studies have also shown that abilities learned in simulation training can be transferred to clinical practise. High-fidelity simulators or low-fidelity simulators can be used to give simulation training, with the latter typically incorporating inanimate objects. Low-fidelity models lack realism, flexibility, and application for specific pathologies, even if research shows that bronchoscopy-assisted intubation is more successful than standard training methods. Virtual reality bronchoscopy simulators, for example, provide a highly realistic environment with the added benefit of integrated feedback elements and assessment via quantitative measures of objective data. Using tools like the Endobronchial Ultrasound-guided Transbronchial Needle Aspiration questionnaire and the Bronchoscopy Skills and Tasks Assessment tool, simulation provides for both standardisation of bronchoscopic training and competency assessment. Despite the various advantages of simulation-based training, acceptance has been slow and inconsistent, possibly due to trainer preferences for traditional training techniques, the expense of simulation equipment, and the time required to implement simulation-based training programmes.


Author (S) Details

Jack A. Kastelik
Department of Respiratory Medicine and Cardiothoracic Surgery, Castle Hill Hospital, Hull University Teaching Hospitals NHS Trust, University of Hull and Hull York Medical School, UK.

Shereen Ajab
Department of Respiratory Medicine and Cardiothoracic Surgery, Castle Hill Hospital, Hull University Teaching Hospitals NHS Trust, University of Hull and Hull York Medical School, UK.

Mahmoud Loubani
Department of Respiratory Medicine and Cardiothoracic Surgery, Castle Hill Hospital, Hull University Teaching Hospitals NHS Trust, University of Hull and Hull York Medical School, UK.

View Book :- https://stm.bookpi.org/CDHR-V9/article/view/2062