Communication Paradigm Research Articles

Power beacon-assisted energy harvesting symbiotic radio networks: Outage performance

The evolution of next-generation Internet-of-Things (IoT) in recent years exhibits a unique segment that wireless communication paradigms are oriented towards not only improved spectral efficiency transmission but also energy efficiency. This paper addresses these critical issues by proposing a novel communication model, namely power beacon-assisted energy-harvesting symbiotic radio. In particular, the limited energy primary IoT source communicates with its destination by first harvesting energy from a dedicated power beacon and then performing information exchange, while the backscatter device communicates by exploiting the available radio frequency emitted by the primary IoT source. The destination uses successive interference cancellation mechanisms to decode both its received signals. To assess the performance quality of the proposed communication model, we theoretically derive the coexistence outage probability (COP) in terms of highly accurate expressions and upper-bound and lower-bound approximations. Subsequently, we carry out a series of numerical results to verify the developed theory frameworks on the one hand, and on the other hand, analyze the COP performance against the variations of system key parameters (transmit signal-to-noise ratio, the time-splitting coefficient, the energy conversion efficiency factor, the reflection coefficient, and the coexistent decoding threshold). Our numerical results demonstrate that the proposed communication model can potentially work well in practices with reliable communication over 90% (COP is less than 0.1). Additionally, it also demonstrates that optimizing the reflection coefficient at the backscatter device can facilitate achieving minimal COP performance.

The persuasive communication of Instagram influencers to promote tourism in the Riviera Maya

IntroductionDestination management organizations are using influencer marketing to implement alliances with influencers to actively stimulate tourist visits. This study analyzes the tourism promotion strategy employed by the content creators hired by the Quintana Roo Tourism Promotion Council to promote the Riviera Maya in Mexico.MethodsUsing a mixed methodology approach and drawing on the functionalist paradigm of communication, the content of the publications is examined.Results and discussionThe results show that the physical appearance and communication skills of influencers have an impact on tourists’ travel intentions. Moreover, the analysis concludes that the motivation conveyed by the influencer shapes the reception of the message.

Interdisciplinary Perspectives: Rethinking Communication for Development and Social Change in Health Communication

Communication for development and social change is an evolving field both in research and practice, transcending paradigms of conventional communication towards engaging and somewhat exposing some of the real-life communicative disorders experienced by communities. While public health and communication for development and social change operate from diverse paradigmatic thinking and are applied quite independently as disciplinary fields of study, health communication converges these fields in research and practice. In this paper, I discuss these interdisciplinary perspectives that draw from communication for development and social change principles and public health through a process of divergence and convergence towards new ways of thinking about decision making. Much of this discourse stems from understanding many health problems as a development problem first, one that recognises the role of community responses during pandemics yet at the same time places the agency back with individuals to make informed choices. Communicating for health decision making from this perspective is what I call Communicating for Health-as-Development (C4HD). C4HD foregrounds health as development, which caters to the messy, unidirectional, non-process-orientated, non-measurable and often non-data-driven approaches to health outcomes. It is in these messy health communication efforts that real development takes place. This paper, using examples from HIV and COVID-19, discusses these ongoing developments in the field and the convergence of public health and communication for development and social change from an interdisciplinary perspective, by exploring three key concepts: community engagement to influence decision making, community agency and ownership, and context and collaboration, which contribute to understanding communication for health-as-development.

Exploring In-Network Computing with Information-Centric Networking: Review and Research Opportunities

The advent of 6G networks and beyond calls for innovative paradigms to address the stringent demands of emerging applications, such as extended reality and autonomous vehicles, as well as technological frameworks like digital twin networks. Traditional cloud computing and edge computing architectures fall short in providing their required flexibility, scalability, and ultra-low latency. Cloud computing centralizes resources in distant data centers, leading to high latency and increased network congestion, while edge computing, though closer to data sources, lacks the agility to dynamically adapt to fluctuating workloads, user mobility, and real-time requirements. In-network computing (INC) offers a transformative solution by integrating computational capabilities directly into the network fabric, enabling dynamic and distributed task execution. This paper explores INC through the lens of information-centric networking (ICN), a revolutionary communication paradigm implementing routing-by-name and in-network caching, and thus emerging as a natural enabler for INC. We review state-of-the-art advancements involving INC and ICN, addressing critical topics such as service naming, executor selection strategies, compute reuse, and security. Furthermore, we discuss key challenges and propose research directions for deploying INC via ICN, thereby outlining a cohesive roadmap for future investigation.

Energy-Efficient Aerial STAR-RIS-Aided Computing Offloading and Content Caching for Wireless Sensor Networks.

Unmanned aerial vehicle (UAV)-based wireless sensor networks (WSNs) hold great promise for supporting ground-based sensors due to the mobility of UAVs and the ease of establishing line-of-sight links. UAV-based WSNs equipped with mobile edge computing (MEC) servers effectively mitigate challenges associated with long-distance transmission and the limited coverage of edge base stations (BSs), emerging as a powerful paradigm for both communication and computing services. Furthermore, incorporating simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) as passive relays significantly enhances the propagation environment and service quality of UAV-based WSNs. However, most existing studies place STAR-RISs in fixed positions, ignoring the flexibility of STAR-RISs. Some other studies equip UAVs with STAR-RISs, and UAVs act as flight carriers, ignoring the computing and caching capabilities of UAVs. To address these limitations, we propose an energy-efficient aerial STAR-RIS-aided computing offloading and content caching framework, where we formulate an energy consumption minimization problem to jointly optimize content caching decisions, computing offloading decisions, UAV hovering positions, and STAR-RIS passive beamforming. Given the non-convex nature of this problem, we decompose it into a content caching decision subproblem, a computing offloading decision subproblem, a hovering position subproblem, and a STAR-RIS resource allocation subproblem. We propose a deep reinforcement learning (DRL)-successive convex approximation (SCA) combined algorithm to iteratively achieve near-optimal solutions with low complexity. The numerical results demonstrate that the proposed framework effectively utilizes resources in UAV-based WSNs and significantly reduces overall system energy consumption.

Preamble Design and Noncoherent ToA Estimation for Pulse-Based Wireless Networks-on-Chip Communications in the Terahertz Band.

The growing demand for high-speed data transfer and ultralow latency in wireless networks-on-chips (WiNoC) has spurred exploration into innovative communication paradigms. Recent advancements highlight the potential of the terahertz (THz) band, a largely untapped frequency range, for enabling ultrafast tera-bit-per-second links in chip multiprocessors. However, the ultrashort duration of THz pulses, often in the femtosecond range, makes synchronization a critical challenge, as even minor timing errors can cause significant data loss. This study introduces a preamble-aided noncoherent synchronization scheme for time-of-arrival (ToA) estimation in pulse-based WiNoC communication operating in the THz band (0.02-0.8 THz). The scheme transmits the preamble, a known sequence of THz pulses, at the beginning of each symbol, allowing the energy-detection receiver to collect and analyze the energy of the preamble across multiple integrators. The integrator with maximum energy output is then used to estimate the symbol's ToA. A preamble design based on maximum pulse energy constraints is also presented. Performance evaluations demonstrate a synchronization probability exceeding 0.98 for distances under 10 mm at a signal-to-noise ratio of 20 dB, with a normalized mean squared error below 10-2. This scheme enhances synchronization reliability, supporting energy-efficient, high-performance WiNoCs for future multicore systems.

Extracellular RNA communication: A decade of NIH common fund support illuminates exRNA biology.

The discovery that extracellular RNAs (exRNA) can act as endocrine signalling molecules established a novel paradigm in intercellular communication. ExRNAs can be transported, both locally and systemically in virtually all body fluids. In association with an array of carrier vehicles of varying complexity, exRNA can alter target cell phenotype. This highlights the important role secreted exRNAs have in regulating human health and disease. The NIH Common Fund exRNA Communication program was established in 2012 to accelerate and catalyze progress in the exRNA biology field. The program addressed both exRNA and exRNA carriers, and served to generate foundational knowledge for the field from basic exRNA biology to future potential clinical applications as biomarkers and therapeutics. To address scientific challenges, the exRNA Communication program developed novel tools and technologies to isolate exRNA carriers and analyze their cargo. Here, we discuss the outcomes of the NIH Common Fund exRNA Communication program, as well as the evolution of exRNA as a scientific field through the analysis of scientific publications and NIH funding. ExRNA and associated carriers have potential clinical use as biomarkers, diagnostics, and therapeutics. Recent translational applications include exRNA-related technologies repurposed as novel diagnostics in response to the COVID-19 pandemic, the clinical use of extracellular vesicle-based biomarker assays, and exRNA carriers as drug delivery platforms. This comprehensive landscape analysis illustrates how discoveries and innovations in exRNA biology are being translated both into the commercial market and the clinic. Analysis of program outcomes and NIH funding trends demonstrate the impact of this NIH Common Fund program.

Iris: A Next Generation Digital Pathology Rendering Engine.

Digital pathology is a tool of rapidly evolving importance within the discipline of pathology. Whole slide imaging promises numerous advantages; however, adoption is limited by challenges in ease of use and speed of high-quality image rendering relative to the simplicity and visual quality of glass slides. Herein, we introduce Iris, a new high-performance digital pathology rendering system. Specifically, we outline and detail the performance metrics of Iris Core, the core rendering engine technology. Iris Core comprises machine code modules written from the ground up in C++ and using Vulkan, a low-level and low-overhead cross-platform graphical processing unit application program interface, and our novel rapid tile buffering algorithms. We provide a detailed explanation of Iris Core's system architecture, including the stateless isolation of core processes, interprocess communication paradigms, and explicit synchronization paradigms that provide powerful control over the graphical processing unit. Iris Core achieves slide rendering at the sustained maximum frame rate on all tested platforms (120 FPS) and buffers an entire new slide field of view, without overlapping pixels, in 10 ms with enhanced detail in 30 ms. Further, it is able to buffer and compute high-fidelity reduction-enhancements for viewing low-power cytology with increased visual quality at a rate of 100-160 μs per slide tile, and with a cumulative median buffering rate of 1.36 GB of decompressed image data per second. This buffering rate allows for an entirely new field of view to be fully buffered and rendered in less than a single monitor refresh on a standard display, and high detail features within 2-3 monitor refresh frames. These metrics far exceed previously published specifications, beyond an order of magnitude in some contexts. The system shows no slowing with high use loads, but rather increases performance due to graphical processing unit cache control mechanisms and is "future-proof" due to near unlimited parallel scalability.

Aesthetic: Subcultures in an Offline-Online Reality

Introduction: The term “Aesthetic” underwent a significant change in 2020, going from being a little-known concept to a common phenomenon on social networks. Its use became popular among generations Z and Alpha, reflecting a new paradigm in digital communication. This concept emerged in a context of confinement, where interactions moved to the digital, blurring the boundaries between offline and online reality. The study set out to define and analyze the “Aesthetic” phenomenon within this new social and cultural dynamic.Development: From a theoretical approach, the article explored concepts such as subcultures and cultural industries, analyzing how Aesthetics can represent social movements, but also suffer a loss of their original meaning when they are aestheticized and commercialized. It was identified that technology and social networks played a key role in the diffusion of Aesthetics, functioning as spaces of interaction where users not only consume content, but also produce and transform it.The study identified essential characteristics of Aesthetics, such as the materialization of values in visual elements and their exchange on social networks. An analysis model was developed that explained how these concepts evolve and adapt according to the interaction of prosumers. An exemplary case was the “Coquette Aesthetic”, whose popularity grew to the point of influencing political campaigns and generating derivations such as the “Tumbette”.Conclusion: The article concluded that Aesthetics, although they may represent subcultures, are influenced by the culture industry, which dilutes their original values. Their fluidity and short duration raise questions about their impact on youth identity and globalized culture. In addition, the extent to which these phenomena can be used to aestheticize social problems was questioned, as well as whether they really constitute a new form of cultural identity or just a passing trend driven by the market.

Self-Powered Sensing and Wireless Communication Synergic Systems Enabled by Triboelectric Nanogenerators

With the rapid advancement of the Internet of Things (IoT) era, the demand for wireless sensing and communication is increasingly prominent. Tens of thousands of sensing and communication nodes have presented new challenges to distributed energy. As a green energy harvesting technology, the triboelectric nanogenerator (TENG), with its outstanding characteristics of simple configuration, low cost, and high compatibility, demonstrates significant advantages in self-powered sensing systems and great application potential in the fields of human–machine interaction and wearable devices in the IoT era. More importantly, the electric displacement field and modulated electromagnetic waves that TENG triggers have opened a new paradigm for self-powered wireless communication, making up for the disadvantages of power supply by traditional distributed power sources. This review comprehensively discusses the latest scientific and technological progress in wireless communication technology prompted by TENG and further discusses its potential applications in various promising fields. Finally, a summary and outlook of TENG-based self-powered sensing and wireless communication synergic systems are presented, aiming to stimulate future innovation in the field and accelerating the paradigm shift to a fully self-powered IoT era.

The use of Artificial Intelligence within the Salafi-Jihadi Ecosystem on Rocket.Chat

During the last decades, Salafi-Jihadi groups have exploited the proliferation of social media to create a persistent and ideologically cohesive presence online. Yet, Salafi-Jihadi individuals connected online to form a new dispersed network of ‘media mujahedeen’ based on loose affiliations, moving from the ‘one-to-many’ to a ‘peer-to-peer’ structure described by Ali Fisher as the Swarmcast Model. The Swarmcast model can be adopted to understand the current media war held by media mujahedeen online. Given this context, experts observed a new centrality of non-institutional media houses, which spread jihadist propaganda and/or produce propaganda content. During the last decade, Telegram was Salafi-Jihadi organizations’ main messaging platform for both institutional and non-institutional media houses. However, in late November 2019, the 16th Referral Action Day coordinated by EUROPOL took place and forced Salafi-Jihadi propaganda operators to adopt what was described by Ali Fisher and Nico Prucha as the Multiplatform Communication Paradigm (MCP) to create a more resilient digital network. Among the messaging platforms, there was Rocket.Chat, which became their primary launchpad and digital safe haven. In late March, inside the Islamic State (IS) server on Rocket.Chat, the first massive use of Artificial Intelligence (AI) was individuated, which was aimed at producing what can be described as a news broadcast in Arabic of IS’s wilayat operations all over the world made by a pro-IS non-institutional media house. The producer inserted all the main characteristics of news broadcasts created through the support of AI. From that day to now, the user posted ten different propaganda videos employing the same production techniques, albeit with some graphic and content differences. Against the backdrop of the evolution of Salafi-Jihadi communication that occurred in the last decades, this paper seeks to illustrate the use of AI inside IS’s server on Rocket.Chat and trace possible countermeasures to prevent using such technologies to produce Salafi-Jihadi propaganda.

Internet of Vehicles Environment Verification of Authentication Protocols using Formal Analysis: A Survey

The Internet of Vehicles (IoV) is becoming an interesting topic among researchers and it has emerged as a rapidly advancing field within Vehicular Ad-hoc Networks, facilitating intelligent communication between vehicles and the cloud through the integration of Internet of Things (IoT) technologies. The IoV surroundings face serious challenges due to the highly interrelated nature of vehicles and infrastructure in certifying privacy and security. Traditional approaches to authentication lack the strength required to protect against developing fears, leaving systems vulnerable to attacks. This survey addresses the gap by employing formal analysis approaches to prove authentication protocols, targeting to reinforce safety and confidentiality in IoV systems. The IoV communication model consists of Vehicle-to-Vehicle, Vehicle-to-Infrastructure, Vehicle-to-Personal Devices, and Vehicle-to-Cloud. Smart automobiles are equipped with cameras, radars, on-board units, and sensors to help reduce the number of accidents by giving drivers or autonomous vehicles up-to-date information on roads, traffic signals, and other pertinent entities. As human lives are at risk, security and privacy in the IoV communication paradigm are critical and cannot neglected. Security and privacy breaches may cause accidents because the attacker can inject false information into the system as the communication channel is open and unsecured. The researchers proposed many authentication protocols to provide secure communication between IoV entities. Although surveys on IoV security and privacy issues deal with communication and computation costs, they lack formal analysis of the authentication protocols. This survey reviews the informal analysis and formal analysis methods used by various authentication protocols. Furthermore, the challenges and future work are also included in this survey.

PRINCIPLES OF FORMULATING THE INFORMATION POLICY OF THE EUROPEAN UNION AS A UNIFIED GOVERNANCE SYSTEM

The relevance of researching the principles underlying the European Union's information policy is driven by the transformation of the global communication paradigm, which is significantly altering not only information flows themselves but also the mechanisms for their regulation at the level of supranational unions. In the face of contemporary challenges associated with the growing influence of disinformation, cyber threats, and digital transformations, the EU’s information policy has become a key instrument for ensuring both the security of the information space and the harmonization of regulatory practices among member states. A deep understanding of the foundations of such policy formation allows researchers to identify its fundamental patterns and strategic imperatives, presenting scientific interest for further developments in this field. The article aims to identify and systematize the foundational principles that govern the process of shaping the European Union’s information policy as an integrated governance system. The methodological framework of the study is grounded in an interdisciplinary approach that incorporates elements of political analysis, legal research, and digital sociology tools. The analytical method is based on a constructivist approach, which enables the examination of the EU's information policy as a dynamic socio-constructive phenomenon formed through the interaction of various political, institutional, and technological factors. The use of critical discourse analysis further facilitates the identification of latent ideological frameworks influencing the formation of a unified information policy. The research has identified and systematized the core principles of the EU’s information policy, which include transparency, accountability, subsidiarity, integration, and the safeguarding of human rights. Each of these principles is considered a conceptual component that ensures the functioning of the EU's information space as a unified governance system. The study also reveals that the effectiveness of the information policy largely depends on member states' capacity to adapt their national approaches to the overarching European regulatory framework. The conclusions indicate that the European Union’s information policy is a complex, multi-level process requiring the active engagement of all participants in the European political system. Adherence to established principles not only fosters unity and stability within the information environment but also strengthens trust in EU institutions, which is particularly crucial in the context of current geopolitical threats. Further research could focus on analyzing prospects for improving the EU’s information policy in light of emerging challenges facing the European community.

Dynamic Event-Triggered Strategy-Based Optimal Control of Modular Robot Manipulator: A Multiplayer Nonzero-Sum Game Perspective.

Due to the limited computing and processing ability of modular robot manipulator (MRM) components, such as sensors and controllers, event-triggered mechanisms are considered a crucial communication paradigm shift in resource constrained applications. Dynamic event-triggered mechanism is developing into a new technology by reason of its higher resource utilization efficiency and more flexible system design requirements than traditional event-triggered. Therefore, an optimal control scheme of multiplayer nonzero-sum game based on dynamic event-triggered is developed for MRM systems with uncertain disturbances. First, dynamic model of the MRM is established according to joint torque feedback technique and model uncertainty is estimated by data-driven-based neural network identifier. In the framework of differential game, the tracking control problem of MRM system is transformed into the optimal control problem for multiplayer nonzero-sum game with the control input of each joint module as the player. Then, the static event-triggered control problem of MRM system is studied based on adaptive dynamic programming algorithm. On this basis, the internal dynamic variable describing the previous state of the system is introduced, and the characteristics of dynamic trigger rule and its relationship with static rule are revealed theoretically. By designing an exponential attenuation signal, the minimum sampling interval of the system is always positive, so that Zeno behavior is excluded. Lyapunov theory proves that the system is asymptotically stable and the experimental results verify the validity of the proposed method.

Unidirectional Communications in Secure IoT Systems-A Survey.

The security of Internet of Things (IoT) systems has consistently been a challenge, particularly in the context of critical infrastructure. One particular approach not yet employed in this domain is the unidirectional communication paradigm. This survey presents an analysis of the most prevalent unidirectional communication solutions, namely, data diodes, network pumps, unidirectional gateways, and unidirectional protocols. The objective of the survey is to present an analysis of the unidirectional communication methods that meet the requirements of IoT security. These methods are classified according to their implementation and operational mode. The survey analyzes the unidirectional communication solutions based on their performance, the level of security offered, the cost-effectiveness, and their cost of implementation. Additionally, it includes an analysis of the existing off-the-shelf unidirectional communication implementations found in the industry. Furthermore, it identifies some of the most important current issues and development directions.

Речевой жанр «благодарность» в алтайском языке

This article deals with the etiquette speech genre “gratitude” in the Altai language. The article aims to establish and describe categorical universal and nationally specific features of the speech genre “gratitude” in the Altai language. Categorical signs of gratitude are analyzed in line with psychological, social and communicative paradigms. The article describes the national and cultural aspects of the speech genre “gratitude” in various cultures (English, German, Chinese and Russian). The empirical basis of the study was the utterances extracted from recordings of the spoken discourse of the Altaians. We recorded 33 episodes of spoken discourse of native speakers of the Altai language presented by different ages and genders living in Ulagan, Ust-Kansk, Ongudai and Kosh-Agach districts, which helped us to record different ways of using phrases of gratitude in natural speech. A universal property of gratitude in the Altai language is the expression of feelings to the interlocutor in connection with their good deed. In our opinion, gratitude in the Altai culture has a similar cycle with other linguistic cultures. You did something good – I was emotionally touched by it – I expressed my gratitude for it. A nationally specific feature of the structure of gratitude in the Altai language is the connection with benevolence: You did something good/pleasant for me – I was emotionally touched by it – I thanked you – I wished something good to you. Addressor + addressee + reason + thanksgiving + benevolence. It is typical for the Altai people to thank the surrounding space, which shows the national and cultural distinctness of this nation. The article dexribes the propositional structure of gratitude in the Altai language: the length of thanksgiving (the length of phrases varies), standard and frequent phrases, rremarks used as replies, universal and free benevolence of “alkysh”.

Interest Classification on Named Data Network Using the Supervised Learning Method

Named Data Network (NDN) is a next-generation network architecture that shifts the traditional data communications paradigm Unlike conventional networks that rely on IP addresses, NDN delivers content based on data names rather than specific locations. In NDN, consumers express their requests by sending interest packets containing content names. These names are then propagated through the network nodes, which forward them to the appropriate destinations. The forwarding strategy in an NDN network plays a crucial role in ensuring efficient data delivery. This strategy includes a set of rules that determine the next hop for each interest packet. These rules are designed to optimize the forwarding process, minimizing delays and improving network efficiency. However, if the forwarding strategy is implemented without accurately identifying the appropriate face (i.e., the network interface) to forward interests toward the producer or the nearest cache node, it can lead to significant delays and packet drops. This, in turn, negatively impacts Quality of Service (QoS) parameters and the overall performance of the NDN network. This study applies supervised learning to classify consumer-requested interests to overcome this issue. This technique leverages several related variables to accurately classify these interests. The outcomes of the conducted research demonstrated that raw data from the mini-NDN output can be processed and transformed into a usable dataset. This data is then utilized to train a classification model with supervised learning. In a scenario with 9 NDN nodes and varying numbers of interests, distributed both uniformly and according to Zipf's law, the Random Forest model performs effectively, achieving an accuracy rate of 86.2% with an error rate of 14.8%.

THE PROCESS OF ALIENATION OF COMMUNICATION IN CONSUMER SOCIETY: A LOOK AT THE CONSEQUENCES FOR THE ENVIRONMENT

The process of communication alienation in consumer society reveals a growing disconnect between individuals and the impact of their consumption habits on the environment. In this context, communication acts as an instrument that perpetuates consumerist values ​​and practices, often ignoring the environmental consequences. Advertising and media discourse promote an idealized view of consumption, where success and happiness are linked to the acquisition of goods and services. This phenomenon contributes to public alienation, discouraging reflection on the ecological impacts of everyday actions. The illusion of abundance and planned obsolescence reinforce the idea that natural resources are infinite, distancing consumers from sustainable practices. A critical analysis of this communication alienation allows us to understand how society is conditioned to consume without considering environmental damage, reinforcing the need for communication that promotes awareness and ecological responsibility. This study suggests that a change in the communication paradigm can reverse the situation of alienation and promote more conscious and sustainable consumption.

Analysis of flows in social media uncovers a new multi-step model of information spread

Abstract Since the advent of the internet, communication paradigms have continuously evolved, resulting in a present-day landscape where the dynamics of information dissemination have undergone a complete transformation compared to the past. In this study, we challenge the conventional two-step flow communication model, a long-standing paradigm in the field. Our approach introduces a more intricate multi-step and multi-actor model that effectively captures the complexities of modern information spread. We test our hypothesis by examining the spread of information on the Twitter platform. Our findings support the multi-step and multi-actor model hypothesis. In this framework, influencers (individuals with a significant presence in social media) emerge as new central figures and partially take on the role previously attributed to opinion leaders. However, this does not apply to opinion leaders who adapt and reaffirm their influential position on social media, here defined as opinion-leading influencers. Additionally, we note a substantial number of adopters directly accessing information sources, suggesting a potential decline in influence in both opinion leaders and influencers. Finally, we found distinctions in the diffusion patterns of left-/right-leaning groups, indicating variations in the underlying structure of information dissemination across different ideologies.

Mixed reality applications in upper extremity surgery: the future is now.

Mixed reality refers to the integration of virtual reality into the real-world environment. This digital content can be interacted with in real time. The emergence of mixed reality technology has been made possible by the introduction of head-mounted displays, which are being utilized across multiple surgical specialties. In upper extremity surgery, mixed reality has widespread applications in trauma, corrective surgery, arthroplasty, arthroscopy, and oncology. Preoperatively, mixed reality allows for complex 3D planning. Intraoperatively, surgeons can access this 3D data in a sterile environment. While in its infant stages, mixed reality is likely to become a powerful tool for intraoperative guidance and navigation. Mixed reality can change the paradigm of communication, as it allows the sharing of visual data from the surgeon's perspective, enabling remote assistance and participation.