This article presents the data obtained from a Systematic Literature Review (SLR) on the use of metaverse and extended technologies for immersive journalism [1]. Boolean operators, both in English and Spanish, were used to retrieve scientific literature using Publish or Perish 8 software on Scopus, Web of Science and Google Scholar between 2017 and 2022. After finding all the scientific literature, a methodological process was carried out using selection criteria and following the PRISMA model to obtain a total sample of 61 scientific articles. The DESLOCIS framework was used for the evaluation and quantitative and qualitative analysis of the retrieved data. The first dataset [2] contains the metadata of the retrieved publications according to the phases of the PRISMA statement. The second dataset [3] contains the characteristics of these publications according to the DESLOCIS framework. The data offer the possibility to develop new longitudinal studies and meta-analyzes in the field of immersive journalism.

In the continuously advancing field of mechanical engineering, digitalization is bringing a major transformation, specifically with the concept of digital twins. Digital twins are dynamic digital models of real-world systems and processes, crucial for Industry 4.0 and the emerging Industry 5.0, which are changing how humans and machines work together in manufacturing. This paper explores the combination of physics-based and data-driven modeling using advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques. This approach provides a comprehensive understanding of mechanical systems, improving materials design and manufacturing processes. The focus is on the advanced 42SiCr alloy, where AI-driven digital twinning is used to optimize cooling rates during Quenching and Partitioning (Q-P) treatments. This leads to significant improvements in the mechanical properties of 42SiCr steel. Given its complex properties influenced by various factors, this alloy is perfect for digital twinning. The Q-P heat treatment process not only restores the material\'s deformability but also gives it advanced high-strength steel (AHSS) properties. The findings show how AI and ML can effectively guide the development of high-strength steels and enhance their treatment processes. Additionally, integrating digital twins with new technologies like the Metaverse offers exciting possibilities for simulated production, remote monitoring, and collaborative design. By establishing a clear workflow from physical to digital twins and presenting empirical results, this paper connects theoretical modeling with practical applications, paving the way for smarter manufacturing solutions in mechanical engineering. Furthermore, this paper analyzes how digital twins can be integrated into advanced technologies like the Metaverse, opening up new possibilities for simulated production, remote monitoring, design collaboration, training simulations, analytics, and complete supply chain visibility. This integration is a crucial step toward realizing the full potential of digitalization in mechanical engineering.

The metaverse is a virtual world that is being developed to allow people to interact with each other and with digital objects in a more immersive way. It involves the convergence of three major technological trends: telepresence, the digital twin, and blockchain. Telepresence is the ability of people to \"be together\" in a virtual way while not being close to each other. The digital twin is a virtual, digital equivalent of a patient, a medical device or even a hospital. Blockchain can be used by patients to keep their personal medical records secure. In medicine and healthcare, the metaverse could be used in several ways: (1) virtual medical consultations; (2) medical education and training; (3) patient education; (4) medical research; (5) drug development; (6) therapy and support; (7) laboratory medicine. The metaverse has the potential to enable more personalized, efficient, and accessible healthcare, improving patient outcomes and reducing healthcare costs. However, the implementation of the metaverse in medicine and healthcare will require careful consideration of ethical and privacy concerns, as well as social, technical and regulatory challenges. Overall, the future of the metaverse in healthcare looks bright, but new metaverse-specific laws should be created to help overcome any potential downsides.

In recent years, with the shift of focus in metaverse research toward content exchange and social interaction, breaking through the current bottleneck of audio-visual media interaction has become an urgent issue. The use of brain-machine interfaces for sensory simulation is one of the proposed solutions. Currently, brain-machine interfaces have demonstrated irreplaceable potential as physiological signal acquisition tools in various fields within the metaverse. This study explores three application scenarios: generative art in the metaverse, serious gaming for healthcare in metaverse medicine, and brain-machine interface applications for facial expression synthesis in the virtual society of the metaverse. It investigates existing commercial products and patents (such as MindWave Mobile, GVS, and Galea), draws analogies with the development processes of network security and neurosecurity, bioethics and neuroethics, and discusses the challenges and potential issues that may arise when brain-machine interfaces mature and are widely applied. Furthermore, it looks ahead to the diverse possibilities of deep and varied applications of brain-machine interfaces in the metaverse in the future.

Plastic surgeons routinely use 3D-models in their clinical practice, from 3D-photography and surface imaging to 3D-segmentations from radiological scans. However, these models continue to be viewed on flattened 2D screens that do not enable an intuitive understanding of 3D-relationships and cause challenges regarding collaboration with colleagues. The Metaverse has been proposed as a new age of applications building on modern Mixed Reality headset technology that allows remote collaboration on virtual 3D-models in a shared physical-virtual space in real-time. We demonstrate the first use of the Metaverse in the context of reconstructive surgery, focusing on preoperative planning discussions and trainee education. Using a HoloLens headset with the Microsoft Mesh application, we performed planning sessions for 4 DIEP-flaps in our reconstructive metaverse on virtual patient-models segmented from routine CT angiography. In these sessions, surgeons discuss perforator anatomy and perforator selection strategies whilst comprehensively assessing the respective models. We demonstrate the workflow for a one-on-one interaction between an attending surgeon and a trainee in a video featuring both viewpoints as seen through the headset. We believe the Metaverse will provide novel opportunities to use the 3D-models that are already created in everyday plastic surgery practice in a more collaborative, immersive, accessible, and educational manner.

This issue of the Biomedical Journal features a special section exploring mycobiota. Three articles examine the role of fungi in common metabolic disorders in, Clostridium difficile infection, and in immunocompromised patients. Additionally, the potential and challenges of the metaverse in healthcare are reviewed, alongside a holistic approach to improve patient outcomes in pancreatic cancer. In this issue also possible mechanism contributing to long COVID are discussed, as well as biomarkers that effectively predict sepsis outcomes, and key targets in osteosarcoma progression. Moreover, factors leading to peri-intubation cardiac arrest are analyzed, healthcare strategies from various regions are employed to predict cardiovascular events in Asian populations, two approaches to cavernous sinus dural arteriovenous fistula are compared, and a combination therapy against soft tissue sarcoma is presented.

Current rates of mental illness are worrisome. Mental illness mainly affects females and younger age groups. The use of the internet to deliver mental health care has been growing since 2020 and includes the implementation of novel mental health treatments using virtual reality, augmented reality, and artificial intelligence. A new three dimensional digital environment, known as the metaverse, has emerged as the next version of the Internet. Artificial intelligence, augmented reality, and virtual reality will create fully immersive, experiential, and interactive online environments in the metaverse. People will use a unique avatar to do anything they do in their \"real\" lives, including seeking and receiving mental health care. In this opinion review, we reflect on how the metaverse could reshape how we deliver mental health treatment, its opportunities, and its challenges.

暂无摘要。

The metaverse is a digital space that empowers users to interact socially, using new and specific technologies, to generate value and co-create experiences. This paper provides a framework for organising the themes discussed in pioneering literature. An adaptation of the PRISMA process was used to explain the methodology applied. The results showed that more than 84 % of studies on the metaverse have been published since 2020. Technologies such as augmented reality and artificial intelligence are positioned as the basic themes, and decision-making and human-machine interface are emerging themes. This paper constitutes an original contribution as it also presents the highlights and structure of the main themes on metaverse. Additionally, it develops an analytical framework for understanding the metaverse value creation. Therefore, this paper represents a starting point for a reflection on the applications of the metaverse that can contribute to the achievement of productive and valuable progress in various fields of research.

UNASSIGNED: Traditional medical education often lacks contextual experience, hindering students\' ability to effectively apply theoretical knowledge in real-world scenarios. The integration of the metaverse into medical education holds great enormous promise for addressing educational disparities, particularly in lower-middle-income countries (LMICs) accompanied by rapid technological advancements. This commentary paper aimed to address the potential of the metaverse in enhancing basic sciences education within the constraints faced by universities in LMICs. We also addressed learning design challenges by proposing fundamental design elements and a suggested conceptual framework for developing metaverse-based teaching methods.The goal is to assist educators and medical practitioners in comprehensivley understanding key factors in immersive teaching and learning.
UNASSIGNED: By immersing medical students in virtual scenarios mimicking real medical settings and patient interactions, the metaverse enables practice in clinical decision-making, interpersonal skills, and exposure to complex medical situations in a controlled environment. These simulations can be customized to reflect local healthcare challenges, preparing medical students to tackle specific community needs. Various disciplines, including anatomy, physiology, pharmacy, dentistry, and pathology, have begun leveraging the metaverse to offer immersive learning experiences, foster interdisciplinary collaborations, and facilitate authentic assessments. However, financial constraints pose a significant barrier to widespread adoption, particularly in resource-limited settings like LMICs. Addressing these challenges is crucial to realizing the full potential of metaverse technology in medical education.
UNASSIGNED: The metaverse offers a promising solution for enhancing medical education by providing immersive, context-rich learning experiences. This paper proposes a conceptual framework and fundamental design elements to aid faculty educators and medical practitioners in effectively incorporating metaverse technology into their teaching methods, thus improving educational outcomes in LMICs.
The metaverse offers a transformative pathway for basic sciences medical education in lower-middle-income countries (LMICs) through leveraging 3D human replicas, virtual dissection, laboratories, and simulations.A metaverse-based learning design may easily combine a variety of learning theories, instructional design models, and/or conceptual frameworks, including constructivism, the ADDIE model, universal design, and minimalism.Unlocking the full potential of VR and AR in basic sciences medical education for LMIC universities requires collaborative synergy among educators, policymakers, and technology developers, with a crucial emphasis on equitable access and resource allocation.Despite the immense promise held by metaverse-powered education, it is crucial to address issues surrounding technology accessibility, learning design challenges, and implementation barriers in LMICs as we provide guidance to educators and practitioners worldwide.