Single Message Research Articles

SENTIMENT ANALYSIS OF HOW DIFFERENTLY MALE AND FEMALE STREAMERS CHAT ON TWITCH.TV

Video gameplay has traditionally been social, with arcades providing an outlet for public play and consoles, allowing people to play together at home. Onlookers are not limited to being passive spectatorship as they are also provided the opportunity to engage directly with the player, with gameplay live streaming being the newest iteration. Live streaming of video games has become dominated in most countries by the website Twitch.tv, where the challenge concerns highly skilled players with minimal communication and exchange, conversely, prioritizes showmanship over gameplay. This paper focuses on common communication characteristics of viewers who often send single messages and streamers who elaborate. Based on a large real dataset of live stream chats, this paper uses sentiment analysis to explore and compare the findings of different communication theories regarding viewers and how they perceive streamers along the spectrum of different sentiments. Keywords: video gameplay, sentiment analysis, live streaming, communication, twitch.tv

Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs

Belief propagation is a widely used incomplete optimization algorithm, whose main theoretical properties hold only under the assumptions that beliefs are not equal. Nevertheless, there is much evidence that equality between beliefs does occur. A method to overcome belief equality by using unary function-nodes is assumed to resolve the problem. We focus on Min-sum, the belief propagation version for solving constraint optimization problems. We prove that on a single cycle graph, belief equality can be avoided only when the algorithm converges to the optimal solution. In any other case, the unary function methods will not prevent equality, rendering some existing results in need of reassessment. We differentiate between belief equality, which includes equal beliefs in a single message, and assignment equality, that prevents a coherent selection of assignments to variables. We show the necessary and satisfying conditions for both.

Content Aspects of Advertising Images of Modern Media Advertising in Ukraine

Research aim is to study the content aspects of visual advertising images that have been spread by media advertising in Ukraine in recent years and were created before the full-scale invasion of the russian federation. The research methodology is based on an analytical and comparative aspect and combines general scientific and special methods that provide an opportunity to consider the ″visual image″ concept through the prism of advertising design. Scientific novelty. The article examines successful Ukrainian media advertising in recent years and reveals the commitment of Ukrainian advertisers to anthropocentrism in direct and indirect manifestations. The advertising visual image is constructed from design elements, which are mostly signs-indexes and signs-symbols of the active way of Ukrainians’ lives and the spectrum of their emotional states. Conclusions. Visual images are of particular importance because they are stored in the memory much longer compared to the read advertising text. Visual communication combines color, language, writing, and images, which together create a single message, aesthetically pleasing to the recipient’s eyes, and filled with understandable and necessary information. The desired effect is achieved due to the successful synthesis of concepts of presentation of visual material (the most popular: anthropocentrism, emotional marketing, the ″problem-solution″ method, and ″comparison limits″). Techniques and means of designing the visual image of advertising at its various levels play an increasingly significant role, as they allow effective influence on recipients not by increasing the number of advertising messages, but by creating internal connections between parts of the advertising text, image, commercial, and also between individual advertising messages. We see the prospects for further scientific research in the study of static and dynamic parameters of visuality in the space of modern media.

Continuous Entity Authentication in the Internet of Things Scenario

In the context of the Internet of Things (IoT), the proliferation of identity spoofing threats has led to the need for the constant entity verification of devices. Recently, a formal framework has been proposed to study resistance to impersonation attacks for One-Message Unilateral Entity Authentication (OM-UEA) schemes, in which the prover continuously authenticates itself through the use of a sequence of authentication messages. Given the limited computing power of the parties (particularly the prover) and the often limited bandwidth channel, in the IoT scenario it is desirable to design unilateral entity authentication schemes that require the use of a single message per session and light computations. In this paper, we first show that OM-UEA schemes can be implemented through digital signatures and that a weak form of unforgeability is sufficient to achieve security against active adversaries. We then apply the signature scheme proposed by Yang et al. in ASIACCS 2020 to our framework, resulting in an OM-UEA scheme that requires minimal computational effort and low storage requirements for the prover. Inspired by this last construction, we propose an OM-UEA scheme based on the hardness of the discrete logarithm problem, which further improves the computational performance for the prover. Our findings offer feasible options for implementing secure continuous entity authentication in IoT applications.

The Marri Gudjaga project: a study protocol for a randomised control trial using Aboriginal peer support workers to promote breastfeeding of Aboriginal babies

BackgroundBreastfeeding protects against a range of conditions in the infant, including sudden infant death syndrome (SIDS), diarrhoea, respiratory infections and middle ear infections [1, 2]. The World Health Organization (WHO) recommends exclusive breastfeeding until six months of age, with continued breastfeeding recommended for at least two years and other complementary nutritious foods [3]. The 2017-18 National Health Survey (NHS) and 2018-19 National Aboriginal and Torres Strait Islander Health Survey (NATSIHS) reported that the proportion of breastfeeding in Aboriginal and Torres Strait Islander infants (0–2 years) were less than half that of non-Indigenous infants (21.2% vs. 45%, respectively)[4]. There is a lack of research on interventions supporting Aboriginal women to breastfeed, identifying an evaluation gap related to peer support interventions to encourage exclusive breastfeeding in Aboriginal women.MethodsWe will evaluate the effect of scheduled breastfeeding peer support for and by Aboriginal women, on breastfeeding initiation and the prevalence of exclusive breastfeeding. This MRFF (Medical Research Future Fund) funded project is designed as a single-blinded cluster randomised controlled trial recruiting six sites across New South Wales, Australia, with three sites being randomised to employ a peer support worker or undertaking standard care. Forty pregnant women will be recruited each year from each of the six sites and will be surveyed during pregnancy, at six weeks, four and six months postnatally with a single text message at 12 months to ascertain breastfeeding rates. In-depth interviews via an Indigenous style of conversation and storytelling called ‘Yarning’ will be completed at pre- and post-intervention with five randomly recruited community members and five health professionals at each site” [5]. Yarns will be audio recorded, transcribed, coded and thematic analysis undertaken. Health economic analysis will be completed to assess the health system incremental cost and effects of the breastfeeding intervention relative to usual care.DiscussionEvidence will be given on the effectiveness of Aboriginal peer support workers to promote the initiation and continuation of breastfeeding of Aboriginal babies. The findings of this study will provide evidence of effectiveness and cost-effectiveness of including peer support workers in postnatal care to promote breastfeeding practices.Trial RegistrationACTRN12622001208796 The impact of breastfeeding peer support on nutrition of Aboriginal infants

Shuffle Differential Private Data Aggregation for Random Population

Bridging the advantages of differential privacy in both centralized model (i.e., high accuracy) and local model (i.e., minimum trust), the shuffle privacy model has potential applications in many privacy-sensitive scenarios, such as mobile user data aggregation and federated learning. Since messages from users are anonymized by semi-trusted shufflers (e.g., anonymous channels, edge servers), every user could hide message among other users’ messages and inject only part of noises (a.k.a. privacy amplification). However, existing works assume that the participating user population is known in advance, which is unrealistic for dynamic environments (e.g., mobile computing, vehicular networks). In this work, we study the shuffle privacy model with a random participating population, and give privacy amplification bounds for population size with commonly encountered binomial, Poisson, sub-Gaussian distribution and etc. For further improving accuracy, we formulate and derive optimal dummy sizes for both non-adaptive and adaptive dummies. Finally, to break the error barrier due to the constraint of sending one single message per user, we design a multi-message shuffle private protocol supporting random population. Experiment results show that our approaches reduce more than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$60\%$</tex-math></inline-formula> error when compared to the local model and naive approaches. We hope this work provides tailored solutions of shuffle privacy for dynamic mobile/distributed computing.

Generation Z response toward sponsorship disclosure on Instagram: Where do they look? What do they perceive? How do they act?

PurposeThis paper aims to analyze the visual attention, transparency perception and attitude of Brazilian women from generation Z toward sponsorship disclosures with a different number of text messages used in native advertisements made by a digital influencer.Design/methodology/approachA quantitative and multi-method experiment was conducted through a within-subjects experimental design with 149 women. The eye-tracker assessed visual attention and questionnaires measured transparency perception of sponsorship and attitude toward native advertisements. To analyze eye-tracking and transparency perception data, Friedman’s analysis of variance was used. Structural equations were modeled for analyzing attitude data.FindingsThe quantitative results indicate that disclosures with a single textual message obtain more visual attention than multiple textual messages. However, sponsorship disclosures with multiple textual messages obtain the best transparency perception and generate a better attitude toward native advertisements.Research limitations/implicationsThis study extends the theory by investigating the relationship between visual attention to sponsorship disclosure with a different number of textual messages and the target audience's responses to them.Practical implicationsThe analysis of Brazilian generation Z women's responses to native ads might contribute to companies, marketing professionals and digital influencers obtaining great visual attention, transparency perception and attitude toward ethical and transparent ads to this audience.Originality/valueTo the best of the authors’ knowledge, this is the first study to analyze Brazilian generation Z women's visual attention, transparency perception and attitude toward sponsorship disclosure with single and multiple textual messages in native advertisements.

A.V. Polyakov’s Communicative Theory of Law in the Conditions of the Medial Turn: Structural Points of Growth

This article concerns the points of growth of A.V. Polyakov's communicative theory of law in the conditions of a medial turn. The main purpose of the A.V. Polyakov theory was to integrate various types of legal understanding, reconciling the confrontation of natural law, positivism, and sociological theories of law. The semantic core of this theory is the concept of legal communication as an interaction between legal subjects who are aware of each other's rights and recognize them. The medial turn associated with total digitalization is becoming a new challenge for the communicative theory of law. The author analyzes its nodal moments, in which it is possible to expand the heuristic potential of the theory. The starting point of the analysis is the structure of communication, the treatment of which allows one to concretize, expand, and supplement the initial provisions of the theory of A.V. Polyakov. In the part of the theory related to the consideration of communicants, A.V. Polyakov introduces the intersubjective figure of the Other, thanks to which legal communication is focused on the counterparty. However, a different figurativeness of the Other is possible here, based on the typification of polysubject communication and the combinatorics of classical forms of communication in intermediate models. The examination of the communication channel reveals the possibility of calibrating A.V. Polyakov's chosen broad understanding of the text as any set of signs included in semiosis through a narrow understanding of the text as a form of communication based on M. McLuhan's idea of communication revolutions. In this case, the prospects for research on the role of media text in the legal communication of digital society open up. The message is the material basis for transporting the meaning of legal communication. It is possible to expand the theory by analyzing the processes of interference of meaning within a single message based on the methodology of N. Luhmann's autopoiesis. The effects of legal communication can be considered more panoramically when detailing the system of communication blocks of various natures, which is conceptualized on the basis of R. Dahrendorf's theory of social conflict. Structural analysis of communication is both a strategy for detailing its features and a methodological technique for expanding theory through new projects of methodological syntheses with social theories.

Institutional communication models and strategies adapted to New Media

New media has revolutionized the way that organizations communicate with their stakeholders. The traditional models of communication, such as mass communication, word of mouth, and direct mail, are no longer enough to reach today's audiences. In order to be successful in this new media environment, organizations must adapt their communication models and strategies to take advantage of the opportunities that new media provides. This paper will explore the various models and strategies that organizations can use to effectively communicate in the new media environment. The first step in adapting communication models to new media is to understand the various ways that people consume and interact with digital content. There are three main models for communicating with an audience online: broadcast, engagement, and relationships. Broadcast communication is a one-way communication model that is used to reach a large audience with a single message. This model is typically used when an organization has limited resources or time and needs to quickly disseminate information to a large group of people. Engagement communication is a two-way communication model that encourages people to interact with content by providing feedback, comments, and opinions. This model is best used when an organization wants to build relationships with its audience and create a dialogue. Finally, relationship communication is an ongoing communication model that focuses on building long-term relationships with stakeholders by providing timely, relevant, and personalized content. This model is best used when an organization wants to establish loyalty and trust with its target audience.

Watching your call: Breaking VoLTE Privacy in LTE/5G Networks

Voice over LTE (VoLTE) and Voice over NR (VoNR), are two similar technologies that have been widely deployed by operators to provide a better calling experience in LTE and 5G networks, respectively. The VoLTE/NR protocols rely on the security features of the underlying LTE/5G network to protect users' privacy such that nobody can monitor calls and learn details about call times, duration, and direction. In this paper, we introduce a new privacy attack which enables adversaries to analyse encrypted LTE/5G traffic and recover any VoLTE/NR call details. We achieve this by implementing a novel mobile-relay adversary which is able to remain undetected by using an improved physical layer parameter guessing procedure. This adversary facilitates the recovery of encrypted configuration messages exchanged between victim devices and the mobile network. We further propose an identity mapping method which enables our mobile-relay adversary to link a victim's network identifiers to the phone number efficiently, requiring a single VoLTE protocol message. We evaluate the real-world performance of our attacks using four modern commercial off-the-shelf phones and two representative, commercial network carriers. We collect over 60 hours of traffic between the phones and the mobile networks and execute 160 VoLTE calls, which we use to successfully identify patterns in the physical layer parameter allocation and in VoLTE traffic, respectively. Our real-world experiments show that our mobile-relay works as expected in all test cases, and the VoLTE activity logs recovered describe the actual communication with 100% accuracy. Finally, we show that we can link network identifiers such as International Mobile Subscriber Identities (IMSI), Subscriber Concealed Identifiers (SUCI) and/or Globally Unique Temporary Identifiers (GUTI) to phone numbers while remaining undetected by the victim.

Make it quick and to the point: EHJ introduces new rapid communications category for faster delivery of translational data

As of February 2023, EHJ will be able to offer a new category suited to the concise reporting of focused clinical and translational data. The Rapid Communications category which has already received and reviewed around 50 papers, will publish articles of up to 1000 words online focusing on methods and results with minimal introduction and discussion. The new Deputy Editor is Milton Packer MD, Distinguished Scholar in Cardiovascular Science at Baylor University Medical Center in Dallas, TX, USA, who also holds an appointment at Imperial College, London, UK. Prof. Packer told CardioPulse what the new category will mean for authors and readers of the Journal. (Figure 1) Many excellent papers have a single core message. But all too often, the authors try to create a full-length paper even though there is only a single set of important data. When there is a single core message, much of the conventional elements of a full-length paper do not add very much. The Introduction often repeats what is already known. The Methods have often been published elsewhere. The Results may have 4–8 tables and figures, but only one has data of real interest or importance. The Discussion is often a repetition of the Results or reads like a review article. Therefore, the paper would have much greater impact if it presented only the elements that were novel or important. That is why the Rapid Communications format was created. In a Rapid Communications paper, the article typically has 1–2 sentences for the introduction and 2–3 sentences for the Discussion. The core of the paper is the Methods and the Results. If one thinks about it, those are the elements that really matter in every paper in medicine and science, regardless of its length.

“Here comes John Curtin”: The historical consciousness of a journalists’ hero

This article reveals fresh insights into the central, largely unexplored role of journalists as agents of memory for shaping a sense of historical consciousness among public audiences. Journalism has been anchored in the retelling of dramatic stories about heroic characters representing national values. Rüsen (2004) refers to this technique as exemplary narration, which he defines as a type of historical consciousness. This article draws on Rüsen’s theory to provide new views of journalists’ ongoing work in developing the story of an exemplary national hero. Many studies have focused on a single message dominating collective memories. This study shows how journalists helped to create, then disrupt and later reconstruct memories of Australian World War II Prime Minister John Curtin as an example of hope during a major crisis. They developed diverse narratives that portrayed a heroic leader representing national values within the theme of nation building. Recognising exemplary narratives as an ongoing, changing work helps to illuminate journalists’ efforts to orient public views of history that suggest future possibilities.

PCAS: Cryptanalysis and improvement of pairing-free certificateless aggregate signature scheme with conditional privacy-preserving for VANETs

Certificateless aggregate signature (CLAS) is an effective approach for the multiple authentications in multi-users and multi-information environments like the vehicular ad hoc networks (VANETs), which can address the certificate management issue in the traditional public key cryptography (PKC) and solve the key escrow problem in identity-based cryptography (IBC). In recent years, a new CLAS mechanism (LICLAS) is presented for the authentication of sensors in healthcare wireless medical sensor networks (HWMSNs). In this paper, we make an analysis and prove that LICLAS is not able to against forgery attacks. Thus, we present an improved CLAS scheme (PCAS) for vehicle authentication in VANETs, which satisfies the privacy and security requirements. PCAS constructs the signature algorithm based on Elliptic Curve Cryptography (ECC) to avoid bilinear pairing and Map-to-Hash function operations. In order to further improve security and efficiency of PCAS, the vehicle key generation and signature algorithm is revised. The pseudonym mechanism is also adopted to achieve conditional privacy preservation. Besides, PCAS allows to execute a batch verification of messages, where RSUs may verify the aggregated signatures from vehicles to reduce time overhead. Under the assumption that the elliptic curve discrete logarithm problem (ECDLP) is hard, PCAS is proved to be existentially unforgeable against adaptive chosen message attacks in the random oracle model. Through the performance analysis, under the same time complexity, PCAS is shown to more effective. Compared with LICLAS, for a single message and 2000 messages, the transmission overhead of PCAS is reduced by 25% and 25% respectively, and the computation overhead is reduced by 16.56% and 25.34% respectively.

Robust Information Transmission

This paper investigates robust information transmission between a sender and a receiver in the Crawford and Sobel (1982) model. We characterize behavior that remains equilibrium behavior independently of the form of a small communication cost. Under standard conditions, we find that an equilibrium outcome is robust if and only if it features a maximal number of on-path actions and each is induced by a single message. The result extends regardless of the direction of the bias, the number of available messages, or whether the objectives of the sender and the receiver are aligned. (JEL D82, D83)

Past, Present—and Future Perfect? Taking Psychiatry Beyond Its Single Message Mythologies

Past, Present—and Future Perfect?Taking Psychiatry Beyond Its Single Message Mythologies K. W. M. Fulford (bio) I am grateful to John Sadler and his colleagues for their generous invitation to contribute to this collection marking Philosophy, Psychiatry, & Psychology (PPP)'s thirtieth birthday. True to our editorial tradition of "no nonsense" publishing, the "ask" was a reflection on PPP's past, present and future, limited to 500 words. In fact, one word does it for me—collegiality. Collegiality was our watch word from the start. I still treasure a group photo taken at an early pre-meeting of the Association for the Advancement of Philosophy and Psychiatry (AAPP) convened by Michael Schwartz at his home in 1992, when, among other initiatives, PPP was conceived through transferring our then-nascent journal proposal from a small British publishing house to its current international publisher, the Johns Hopkins University Press. Michael and I had met earlier by phone when he had called the Royal College of Psychiatrists in London to enquire about its recently launched Philosophy Group and (by mere chance) I happened to be standing next to the person who took the call! PPP, with John and myself its founder editors, was subsequently born as, and has remained, a joint venture between our two groups: and Peter Zachar's recent initiative in building closer links with the International Network for Philosophy and Psychiatry (INPP) has taken us an important step towards the vision shared by Michael, John and myself that PPP should grow to reflect and represent a global open society of philosophy and mental health. As a pointer to the future, this global open society was no mere utopian vision but a joint commitment to what we conceived as a necessary ambition. Contemporary disenchantment with the repeated failures of translation of current narrowly empirical models of psychiatry, points to the truth of our German colleague, Paul Hoff's, characterization of the history of psychiatry as a history of serial collapses into single message mythologies. This disenchantment might seem to offer an opportunity for colonial expansion of philosophy into psychiatry (a re-assertion, perhaps, of phenomenology?). But PPP was born out of the "decade of the brain" and has remained throughout an ally of, not competitor to, the neurosciences. [End Page 3] So, while it is true that, with Peter's initiative, and with editorial and other innovations introduced by John, PPP is actively extending its reach (to new areas of philosophy, and to new voices, informed notably by experience as well as by training), this expansion remains a collegial not colonial enlargement of the field. I need hardly point to the challenges presented by the inclusive ambitions of such enlargement (not least to maintaining the highest standards of editorial and peer review). But PPP's collegiality provides the foundation for the work needed to deliver on these challenges. Even if imperfectly realized, this collegiality will help to take us beyond the single message mythologies by which our discipline has too long been hobbled. [End Page 4] K. W. M. Fulford K.W.M. (Bill) Fulford is a Fellow of St Catherine's College and Member of the Philosophy Faculty, University of Oxford; Emeritus Professor of Philosophy and Mental Health, University of Warwick Medical School; and Founder Director of the Collaborating Centre for Values-based Practice, St Catherine's College, Oxford (valuesbasedpractice.org). Copyright © 2023 Johns Hopkins University Press

DPGNN: Dual-perception graph neural network for representation learning

Graph neural networks (GNNs) have drawn increasing attention in recent years and achieved remarkable performance in many graph-based tasks, especially in semi-supervised learning on graphs. However, most existing GNNs are based on the message-passing paradigm to iteratively aggregate neighborhood information in a single topology space. Despite their success, the expressive power of GNNs is limited by some drawbacks, such as inflexibility of message source expansion, negligence of node-level message output discrepancy, and restriction of single message space. To address these drawbacks, we present a novel message-passing paradigm, based on the properties of multi-step message source, node-specific message output, and multi-space message interaction. To verify its validity, we instantiate the new message-passing paradigm as a Dual-Perception Graph Neural Network (DPGNN), which applies a node-to-step attention mechanism to aggregate node-specific multi-step neighborhood information adaptively. Our proposed DPGNN can capture the structural neighborhood information and the feature-related information simultaneously for graph representation learning. Experimental results on six benchmark datasets with different topological structures demonstrate that our method outperforms the latest state-of-the-art models, which proves the superiority and versatility of our method. To our knowledge, we are the first to consider node-specific message passing in the GNNs.

Design of a portable implementation of partitioned point‐to‐point communication primitives

AbstractThe Message Passing Interface (MPI) has been the dominant message passing solution for scientific computing for decades. MPI point‐to‐point communications are highly efficient mechanisms for process‐to‐process communication. However, MPI performance when processes utilize multiple threads is slowed by concurrency protections in the MPI library. MPI's current thread level interface imposes these overheads throughout the library when thread safety is needed. While much work has been done to reduce multithreading overheads in MPI, a solution is needed that reduces the number of messages exchanged in a threaded environment. Partitioned communication is included in the MPI 4.0 standard as an alternative that addresses the challenges of multithreaded communication in MPI today. Partitioned communication reduces overall message volume by creating a buffer‐sharing mechanism between threads such that they can indicate when portions of a communication buffer are available to be sent. Separation of the control and data planes in MPI is enabled by allowing persistent initialization and single occurrence message buffer matching from the indication that the data is ready to be sent. This enables the usage of underlying hardware primitives like triggered operations, where commands (destination, size, etc.) can be set up prior to data buffer readiness and readiness triggered with a simple doorbell/counter later. This approach is useful for future development of MPI operations in environments where traditional networking commands can have performance challenges, like accelerators (GPUs, FPGAs). In this paper, we detail the design and implementation of a layered library (built on top of MPI‐3.1) and an integrated Open MPI solution that supports the new, MPI‐4.0 partitioned communication feature set. The library will enable applications to use currently released MPI implementations and older legacy libraries to provide partitioned communication support while also enabling further exploration of this new communication model in new applications and use cases. We will compare the designs of the library and native Open MPI support, provide performance results and comparisons between the two approaches, and lessons learned from the implementation of partitioned communication in both library and native forms. We find that the native implementation and library have similar performance with a percentage difference under 0.94% in microbenchmarks and performance within 5% for a partitioned communication enabled proxy application.

Method of Determining the Source of Messages Based on Processing the Time of Their Receipt

Purpose of research is to create a method for determining the source of messages in the receiver, which allows, based on the analysis of the characteristics of the distribution of the time of receipt of messages, to increase the reliability of determining the source.Methods. Authentication of the message source is based on statistical analysis of metadata values, which in this study are the time intervals between messages. The metadata processing model is based on the well-known model of receiving messages from the target source in LoRaWAN networks. At the same time, the source was determined using coding methods in the block coupling mode, which provide higher identification reliability for short-length messages characteristic of the specified type of networks. With the help of numerical modeling, the patterns of changes in the characteristics of the time of receipt of messages in the event of an identification error were determined. The decision-making rule is also formulated in case of impossibility of authentication based on processing the contents of identification fields. Studies have shown the effectiveness of the application of the source detection model in various ranges of parameters for the formation of message sequences.Results. The result of the conducted research is the development of an authentication method based on the analysis of the time of receipt of messages to the receiver, which differs in that it uses the characteristics of the distribution of moments of high orders for a series of time delays as the analyzed data. Its use in combination with coding methods in the message concatenation mode reduces the probability of a single message replacement error in a sequence by 4-6 times, compared with methods that perform identification only based on the results of processing the identifiers of the messages themselves.Conclusion. The result of experimental studies has shown the possibility of using the developed method to increase the reliability of determining the authenticity of the source of messages, the possibility of reducing the number of reinquiries that occur when errors are detected, the possibility of reducing the size of additional identifier fields in each message. The resulting effect will be expressed in a general increase in the bandwidth of the communication channel between remote components of a distributed system.

When Cigarette Smoking Meets COVID-19: How the Two Types of Threat and Efficacy Perceptions Interactively Predict Danger Control and Fear Control Processes.

Growing evidence indicates that communicating the combined risk of smoking and COVID-19 encourages smoking cessation. Guided by the Extended Parallel Process Model (EPPM), we examined how perceived threats of smoking and COVID-19 independently and interactively predicted danger control responses (i.e., quit intentions and COVID-19-protective behavioral intentions) and fear control responses (i.e., fear and fatalism). We also explored the direct and interactive impacts of perceived efficacy of quitting smoking and COVID-protective behaviors on message outcomes. Structural equation modeling results (N = 747 U.S. adults who smoke) indicated that the perceived efficacy of COVID-protective behaviors positively predicted quit intentions. Higher perceived threat of COVID-19 and greater quitting efficacy predicted higher quit intentions directly and indirectly via fear. As perceived COVID-protective efficacy increased, the positive association between perceived quitting efficacy and quit intentions also increased. Smoking-related threat and efficacy perceptions did not predict COVID-protective behavioral intentions. This study added to EPPM by considering how threat and efficacy perceptions deriving from two different yet closely related risks affect protective behaviors. Thus, combining multiple threats in a single message might be a promising strategy to motivate smoking cessation amid the pandemic.

The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage

BackgroundWhile most Australian children are vaccinated, delays in vaccination can put them at risk from preventable infections. Widespread mobile phone ownership in Australia could allow automated short message service (SMS) reminders to be used as a low-cost strategy to effectively ‘nudge’ parents towards vaccinating their children on time.MethodsAuTOMATIC is an adaptive randomised trial which aims to both evaluate and optimise the use of SMS reminders for improving the timely vaccination of children at primary care clinics across Australia. The trial will utilise high levels of digital automation to effect, including eligibility assessment, randomisation, delivery of intervention, data extraction and analysis, thereby allowing healthcare-embedded trial delivery. Up to 10,000 parents attending participating primary care clinics will be randomised to one of 12 different active SMS vaccine reminder content and timing arms or usual practice only (no SMS reminder). The primary outcome is vaccine receipt within 28 days of the scheduled date for the index vaccine (the first scheduled vaccine after randomisation). Secondary analyses will assess receipt and timeliness for all vaccine occasions in all children. Regular scheduled analyses will be performed using Bayesian inference and pre-specified trial decision rules, enabling response adaptive randomisation, suspension of any poorly performing arms and early stopping if a single best message is identified.DiscussionThis study will aim to optimise SMS reminders for childhood vaccination in primary care clinics, directly comparing alternative message framing and message timing. We anticipate that the trial will be an exemplar in using Bayesian adaptive methodology to assess a readily implementable strategy in a wide population, capable of delivery due to the levels of digital automation. Methods and findings from this study will help to inform strategies for implementing reminders and embedding analytics in primary health care settings.Trial registrationANZCTR: ACTRN12618000789268.