When the Future Becomes no Longer a Threat but, More, an Opportunity by Terry Trickett

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Cybersecurity Attacks and Detection Methods in Web 3.0 Technology: A Review by Bandar Alotaibi

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On digitalization methods in the conservation of architectural heritage in Russian cities by Sadykova Leysan I., Kholodova Lyudmila P.

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Pioneering the Security of EHRs Using an Immersive Blockchain Conceptual Framework by Rihab Benaich, Youssef Gahi, Saida El Mendili

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Coaching 5.0, coaching for the fifth industrial revolution by Jazz Rasool

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New technologies for safe practice and training during pregnancy: a gynecologist and forensic pathologist perspective narrative review by Emanuele Capasso, Mariagrazia Marisei, Carmen Imma Aquino, Pierpaolo Di Lorenzo, Claudia Casella

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Virtual Cities: From Digital Twins to Autonomous AI Societies by Andrey Nechesov, Ivan Dorokhov, Janne Ruponen

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Pengembangan Fast Render Objek Grafis Menggunakan Shader dan Non-Shader Berbasis WebGL dari Primitive Object untuk Membuat Raw Metaverse Material Objek Skybox 3D di Filkom UB by Imam Cholissodin, Eriq Muhammad Adams Jonemaro, Bayu Rahayudi, Willyan Eka Ksatria, Annisa Sukmawati, Muhammad Farid Muzayyani

“…Hasil pengamatan pengujian pada beberapa skenario yang berbeda berdasarkan lama waktu proses render objek untuk membuat raw metaverse material objek Skybox 3D tersebut, didapatkan rata-rata waktu 0,12668 detik.   …”
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Creating non-fungible token (NFT)-backed emoji art from user conversations on blockchain by Maedeh Mosharraf, Mohammad Hossein Khorrami

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Exploring the Connectivity Between Education 4.0 and Classroom 4.0: Technologies, Student Perspectives, and Engagement in the Digital Era by Kapil Joshi, Rajesh Kumar, Salil Bharany, Dilip Kumar Jang Bahadur Saini, Rajiv Kumar, Ashraf Osman Ibrahim, Abdelzahir Abdelmaboud, Wamda Nagmeldin, Mohammad Awad Medani

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Cloud native network creating a new era of intelligent application by Xiaolan WAN, Jinglin LI, Kebin LIU

“…With the continuous emergence of new applications such as holographic multimedia, integration of space, air and ground, metaverse and social Internet of things, the development of business applications moved towards digitalization, integration, bandwidth and intelligence, which correspondingly puts forward new demands for the transformation of the network.Through the research and analysis of future network characteristics, combined with the characteristics of the cloud native network, the cloud native advantage can be used to meet the needs of current hot business applications.The general architecture of the cloud native network was proposed.The capabilities of data plane, control plane and management plane were defined.Finally, the typical and hot application cases of the cloud native network were given.…”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Advanced Modeling and 3D Printing Techniques for Game and CGI Characters by Ștefan-Andrei LAZĂR, Patricia Isabela BRĂILEANU

“…The article also discusses the interoperability between certain three–dimensional modeling platforms on the current market and the impact of new technologies such as the so-called digital twins or the metaverse, on the future of three-dimensional graphics and threedimensional modeling of game characters. …”
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EMG Dataset for Gesture Recognition with Arm Translation by Iris Kyranou, Katarzyna Szymaniak, Kianoush Nazarpour

“…Abstract Myoelectric control has emerged as a promising approach for a wide range of applications, including controlling limb prosthetics, teleoperating robots and enabling immersive interactions in the Metaverse. However, the accuracy and robustness of myoelectric control systems are often affected by various factors, including muscle fatigue, perspiration, drifts in electrode positions and changes in arm position. …”
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Audio technology for improving social interaction in extended reality by Joanna Luberadzka, Enric Gusó Muñoz, Enric Gusó Muñoz, Umut Sayin, Adan Garriga

“…In recent years, extended reality (XR) has gained interest as a platform for human communication, with the emergence of the “Metaverse” promising to reshape social interactions. …”
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Public attitude and media governance of biometric information dissemination in the era of digital intelligence by Wenyi Zhang, Hengtian Zhang, Zhouyang Deng

“…Abstract Absrtact: In the era of digital intelligence, biometrics plays a critical role in mediating sensitive information dissemination, human-computer interaction, and governance in both virtual and real-world settings, including the evolving metaverse. Based on an empirical analysis of 1,862 participants, the current study investigated factors influencing public perception, acceptance, and risk awareness of biometric technologies. …”
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Challenges and perspectives in the evolution of distance and online education towards higher technological environments by Julián Roa González, Natalia Sánchez Sánchez, Isaac Seoane Pujol, José L. Díaz Palencia

“…This study explores a phased approach to technology integration aiming to boost interactive learning opportunities including the potential use of the metaverse. The pedagogical strategies are discussed, emphasizing the importance of addressing diverse learner needs while promoting digital literacy. …”
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Development of Nursing Education in Line with Technological Developments in Health Care by Leila Valizadeh, Hossein Nemati

“…Some new technologies include virtual reality stimulation (VR), augmented reality (AR), Metaverse, blockchain technology, the Internet of Things (IoT), and artificial intelligence, which are used to provide opportunities to transfer information, improve learning, and reduce learning problems. …”
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A Wi-Fi sensing method for complex continuous human activities based on CNN-BiGRU by Yang LIU, Anming DONG, Jiguo YU, Kai ZHAO, You ZHOU

“…Human activity sensing based on Wi-Fi channel state information (CSI) has an important application prospect in future intelligent interaction scenarios such as virtual reality, intelligent games, and the metaverse.Accurate sensing of complex and continuous human activities is an important challenge for Wi-Fi sensing.Convolutional neural network (CNN) has the ability of spatial feature extraction but is poor at modeling the temporal features of the data.While long short-term memory (LSTM) network or gated recurrent unit (GRU) network, which are suitable for modeling time-series data, neglect learning spatial features of data.In order to solve this problem, an improved CNN that integrates bidirectional gated recurrent unit (BiGRU) network was proposed.The bi-directional feature extraction ability of BiGRU was used to capture the correlation and dependence of the front and back information in the time series data.The extraction of the spatiotemporal features of the time series CSI data was realized, and then the mapping relationship between the action and the CSI data was present.Thus the recognition accuracy of the complex continuous action was improved.The proposed network structure was tested with basketball actions.The results show that the recognition accuracy of this method is above 95% under various conditions.Compared with the traditional multi-layer perceptron (MLP), CNN, LSTM, GRU, and attention based bidirectional long short-term memory (ABLSTM) baseline methods, the recognition accuracy has been improved by 1%～20%.…”
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A Fortnite and odd days: the console wars by Alba Ribera Martínez

“… The videogames industry is called to play a key role in the development and design of the future digital arena, ranging from the up-and-coming metaverse to the digital platforms’ future innovation. …”
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