Communication Research Articles

“Very Misunderstood”: Self-Perceived Social Communication Experiences of Autistic Young Adults

Historically, society has labeled social communication differences in autistic individuals as disordered by comparing them to the social communication behaviors of the predominant non-autistic population. This study explores how autistic young adults view their social communication experiences and how their differences impact them when navigating social situations in predominantly non-autistic environments. This qualitative study utilized purposive sampling to recruit 15 autistic adults aged 18–28 in the United States. All participants were conversation-level speaking communicators and high school graduates. Each participant engaged in an individual semi-structured, conversational interview with the first author via Zoom video conferences between November 2019 and June 2020. The data analysis identified inductive themes through interpretive phenomenological analysis. Five major themes emerged from the data that captured the challenges of autistic adults: (a) “Communication definitely is a struggle at times”, (b) “if it’s a very comfortable situation, then it’s fine”, (c) my communication style has “been very misunderstood”, (d) “I have to learn people”, and (e) “we’re all human. Autistic too, we’re still human”. The participants’ experiences suggest that differences in their communication style and social behavior resulted in overwhelming feelings of uncertainty and marginalization as they put great effort into engaging with non-autistic individuals.

Communication Strategies of Indonesian Secondary School Teachers to Establish Interpersonal Relationships with Students; A Literature Review

The quality of teacher-student relationships has a profound impact on the learning process and outcomes, particularly in culturally diverse contexts like Indonesia. In Indonesian secondary schools, where cultural characteristics such as power distance and collectivism shape interactions, enhancing teacher-student relationships through effective communication strategies is crucial. This study aims to identify and analyze communication strategies that are most appropriate for fostering interpersonal relationships in Indonesian secondary schools. Using a qualitative literature review method, following PRISMA guidelines, this study synthesizes 22 communication behaviors from existing literature, which were categorized into four main themes: care, immediacy, clarity, and disclosure. Notably, while the strategies of care, immediacy, and clarity align with previous research and are adapted to the Indonesian cultural context, the study found a significant lack of teacher disclosure, a critical strategy for building close interpersonal relationships. This gap suggests that cultural factors such as high power distance may inhibit the use of disclosure as a relational tool in Indonesian classrooms. The study’s findings provide practical implications for teachers aiming to improve their communication practices, suggesting that culturally appropriate strategies, particularly in balancing authority and relational closeness, are necessary to foster stronger interpersonal connections with students.

Czy rozwój social mediów rozwija język? – najczęstsze błędy językowe Polaków w internecie

Czy rozwój social mediów rozwija język? – najczęstsze błędy językowe Polaków w internecie

Communication Behaviour of Turmeric Growers in Chhattisgarh Plain

A Research on communication behaviour of turmeric growers in Chhattisgarh plain was undertaken to find out the information seeking behavior used by turmeric growers. A total of 320 farmers (160 beneficiaries and 160 non-beneficiaries) were selected randomly. Data collection was done by the use of interview schedule through personnel interview. The study revealed that maximum number of the beneficiaries (48.12%) and non-beneficiaries (55.00%) were found in medium level of extension contact. Whereas, farmers used mass media it was observed that maximum number of the beneficiaries (45.63%) and non-beneficiaries (50.62%) were used medium level of mass media.

A novel USP51 variant in a patient with autism spectrum disorder and epilepsy

BackgroundAutism spectrum disorder (ASD) is a highly heritable neurodevelopmental disorder characterized by impaired social communication and repetitive behaviours. The genetic basis of ASD is complex and involves both rare variants with large effect sizes and common variants with small effect sizes.Case presentationThis case report describes a 19-year-old male with ASD, intellectual disability, absent speech, and epilepsy. Molecular testing revealed a novel maternally inherited variant in the USP51 gene, which encodes Ubiquitin Specific Peptidase 51, a deubiquitinating enzyme involved in the DNA damage response.ConclusionsBased on current knowledge, the variant is predicted to result in a truncated protein and is considered a variant of uncertain significance (VUS). The USP51 gene has been implicated in neurodevelopment, and its role in the developing brain suggests its potential relevance to ASD. Further studies are needed to establish the association of USP51 variants with ASD and elucidate the full phenotypic spectrum associated with these variants.

Radiation Performance Comparison and Analysis of Ku-band Microstrip Antennas with Diamond, Octagonal, and Circular Array Configurations

Phased array antennas are essential in modern communication systems, particularly within the Ku-band, which is widely used for satellite communications and radar applications due to its high data rate capabilities. This paper explores the radiation characteristics of Ku-band microstrip antennas arranged in diamond, octagonal, and circular arrays, focusing on uniform excitation to ensure consistency across evaluations. Using CST Microwave Studio 2024 for simulations, the study found that the rectangular array provides the highest gain and narrowest beamwidth, making it suitable for applications where directional accuracy is critical. However, this configuration also resulted in higher sidelobe levels, which can be problematic in environments where minimal interference is required. The diamond array, while exhibiting lower gain, achieved superior sidelobe suppression, making it ideal for scenarios where reducing interference is prioritized over maximizing directivity. The octagonal and circular arrays provided balanced performance across all metrics, offering versatile options for various operational needs. These results provide valuable guidance for optimizing phased array designs to meet specific requirements in Ku-band applications.

A Sturdy Shield: Enhancing 6G Fronthaul with Quantum-Security

Abstract: With the emergence of smart devices and the Internet of Things (IoT), 5G has been developed to meet the growing demand for transmission speeds and bandwidth. 5G overcomes the limitations of previous generations of technology, offering significant improvements in speed, latency, and stability. However, with the advancement of computational capabilities and the advent of quantum computers, security issues have become a pressing concern. Current technologies in 5G fronthaul rely on intrinsic security technologies, which are difficult to defend against quantum computer-based attacks. Consequently, this paper proposes a future mobile fronthaul architecture, such as 6G, which builds upon the 5G fronthaul network architecture while introducing quantum communication based on the BB84 protocol. This architecture enhances privacy protection and improves resistance to eavesdropping while maintaining the original performance. Additionally, the paper models the architecture to explore its noise resistance, using forward and backward spontaneous Raman scattering power as indicators, and demonstrates the system's feasibility under the influence of high-power 6G signals. The potential applications of this architecture are also examined. The results indicate that the quantum-secure 6G fronthaul network represents a significant breakthrough. It not only meets the stringent security requirements of modern communication but also enables a wide range of applications, paving the way for a safer and more interconnected digital future.

The Reform and Practice of College English Writing Teaching Mode by Integrating Information Technology

The integration of information technology (IT) into college English writing instruction has emerged as a transformational strategy in response to the limitations of traditional teaching methods. This paper explores the modifications and applications of a pedagogical approach that uses ICT to improve the effectiveness of college English writing instruction. Traditional approaches to teaching English writing often suffer from limitations such as lack of individual feedback, monolithic teaching methods, and inadequate engagement with digital tools that define modern communication. The study examines how the integration of ICTs into the curriculum can lead to a variety of instructional strategies, including digital tools, collaborative methods, and multimedia materials, that address different learning styles. The main focus areas are the challenges associated with traditional teaching methods, the specific benefits of ICT in teaching English writing, and practical strategies for better integration The paper builds on case studies and data-supported outcomes to demonstrate the success of ICT-enabled learning practices for improving students’ writing skills, critical thinking skills and engagement. The findings suggest that ICT not only modernizes English education but also integrates the demands of a digitally connected world. This integration opens up a more sustainable, inclusive, and competency-oriented approach to English writing education in colleges.

Mediatization of care for MSM living with HIV by government and civil society organizations in the Philippines during the COVID-19 pandemic

In the modern milieu, information and communications technologies (ICT) developments have dominated and been domesticated in almost all aspects of human life. This movement was made more palpable during the recent COVID-19 pandemic when access to regular treatment has been disrupted for people living with the human immunodeficiency virus (PLHIV). The health sector had to cope with the “new normal” by migrating to the online sphere. This phenomenon may be understood as mediatization, where media are viewed as an independent institution with its norms and logics, influencing the health service sector. To understand the reconfigured communicative practices of government and non-government organizations in PLHIV care provision, this study asked: How is care mediatized, and what are its consequences on healthcare service provision for men having sex with men (MSM) living with HIV in the Philippines? Narratives of interviewees from organizations enacting the online care continuum for PLHIVs reveal that, on an individual level, media and technologies have been embedded in the communicative practices of health service providers. On an institutional level, media logics are now part and parcel of the practice of health provision for PLHIVs. Examining the consequences of the mediatization of PLHIV care, theoretical and practical recommendations are made at the end of the study.

AI-Based Phishing Detection and Automated Response: A Multi-Channel Security Framework for Modern Communication Platforms

Phishing attacks have evolved in sophistication over the changing digital communication landscape, taking advantage of several channels like social media, SMS, and email to trick people and businesses. This research offers a multi-channel security architecture for automated phishing response and detection that uses cutting-edge artificial intelligence (AI) technology to counteract this ubiquitous threat. The system utilizes automatic reaction mechanisms to mitigate threats in real time and incorporates state-of-the-art AI algorithms to improve the detection of phishing attempts across various communication channels. This study examines recent developments in artificial intelligence (AI) for cybersecurity, emphasizing the use of deep learning, machine learning, and natural language processing in phishing detection and response. It also looks at how phishing techniques have changed over time, how difficult it is to integrate AI across different platforms, and how dangerous it could be for AI systems to come under hostile attack. The report shows the usefulness and practical use of AI-driven solutions with case studies from social media, financial services, and enterprise communication platforms. It also discusses ethical and regulatory issues, highlighting the necessity of adhering to data protection regulations and using AI responsibly. The technological difficulties, potential avenues for future investigation, and prospects for innovation in AI-based phishing detection are covered in the paper's conclusion. With this methodology, cybersecurity researchers and practitioners can benefit from a thorough approach to improving cybersecurity with artificial intelligence.

Telemedicine technologies in combat settings: efficiency and prospects (literature review)

Relevance. Large-scale military conflicts involving a technically well-equipped peer enemy are associated with a higher risk of delayed evacuation of the wounded which therefore requires extended medical care at advanced medical evacuation stages, especially amid absence or shortage of skillful medical professionals. Telehealth can offer solutions to overcome the difficulties in medical care provision amid combat settings. The objective is to study the prospects and efficiency of telemedicine technologies in enhancing availability of medical care during modern military operations.Methods. The PubMed database and the Scientific Electronic Library (eLIBRARY.ru) were used to collect research papers published from 2014 to 2024 studying the development and implementation of telemedicine technologies to backup combat operations.Results and discussion. Consultations by phone together with transfer of photos and text messaging remain the most common technology to provide telehealth assistance in combat settings. Teleconference connection allowing for two-way audio and video communication involving real-time data transfer is a most promising telecommunication format. Telehealth capacities can be expanded by augmented and mixed reality technologies, AI, drones, or robotic surgery. In combat environments, however, using telemedicine is limited by cybersecurity concerns and the signal bandwidth of modern communications systems. An efficient military telemedicine requires an integral centralized system involving multidisciplinary teams of experienced medical consultants providing round-the-clock emergency and routine telemedicine care to military units, including those engaged in combat operations.Conclusion. In combat settings telemedicine technologies have great untapped potential and can contribute largely in terms of evidence-based decision-making in process of medical triage and evacuation, thus optimizing the distribution of medical capacities and resources and improving the results of injury treatment. Although unfit to replace advanced combat medicine training, telemedicine can reinforce existing capacities by providing specialized medical advice to combat medics.

Beyond Breeding: Re-Interpreting Paradigms in Domestic Dog Aggression Research

Pet dog aggression is a research theme of extreme importance since, today more than ever, caretakers have the motivation and interest to better understand and relate to their dogs. However, most of the literature exploring this theme focuses on biased views of breeding, behaviour profiles and aggression itself. That way, many studies regarding incident predictability end in the same pitfall of standardizing aggression by a single factor, like breed, instead of approaching other important factors beyond genetics and learning. In this essay, we propose a new approach to understand aggression in dogs, taking from non-dichotomous and non-urban-western views. Regarding the animal as complex developing systems, that are always shaping and being shaped by its surrounding environment. With said approach, factors such as skull morphology, size, weight, caretaker relationship and culture, should be further incorporated in research for a deeper understanding of dog aggression as a social communicative behaviour.

Legal nature of social protection of civil servants in modern conditions of information communications and European integration of Ukraine

The article is devoted to a detailed analysis of the legal nature of social protection of civil servants in the conditions of modern information communications and European integration processes of Ukraine. In the course of the study, theoretical approaches to determining the essence of social protection were considered, as well as the positions of various scientists who studied this issue were given. The advantages and disadvantages of the main concepts proposed in the scientific literature are analyzed, with an emphasis on their compliance with modern challenges and conditions of development of public administration in Ukraine. The article pays attention to the justification of one’s own position regarding the improvement of the system of social protection of civil servants, taking into account modern European integration trends and the influence of information technologies. The essence of the legal nature of social protection is revealed, the concept is characterized, and a general theoretical characterization of this legal phenomenon is carried out. It was determined that the social protection of civil servants is an important component of ensuring the stability and efficiency of the civil service, which provides social guarantees necessary for the performance of official duties at a high professional level. Actual problems of ensuring social guarantees of civil servants are studied in the context of strengthening European integration and introduction of information technologies in public administration. The key legal mechanisms aimed at ensuring fair access to social services are identified, and the need to reform the existing social protection system to eliminate inequalities between civil servants of different job categories is substantiated. On the basis of the analysis of the provisions of various scientists, the advantages and disadvantages of the existing mechanisms of social protection are highlighted, as well as ways of their optimization are considered. The article also emphasizes the importance of a comprehensive approach to the development and implementation of legal norms that ensure social protection of civil servants, in order to increase the efficiency of the civil service and maintain a high level of professionalism of personnel.

A comprehensive narrative review on psychotherapies for patients with autism spectrum disorders

Autism spectrum disorders (ASD) are complex neurodevelopmental conditions characterized by challenges in social interaction, communication, and repetitive behaviors. Psychotherapeutic interventions must tailor to meet the specific needs of individuals with ASD, given their diverse presentation of symptoms and functioning levels. This narrative review explores the range of psychotherapies available for individuals with ASD, examining their methodologies, effectiveness, and suitability. By using targeted search terms such as “autism,” “autistic disorder,” “autism spectrum disorders,” “psychotherapy,” “psychological intervention,” and “psychosocial intervention,” an extensive review of publications in English from 2000 to 2024 was conducted. This review covered several databases, including Embase, PubMed, Web of Science, Scopus, Cochrane Library, and Google Scholar. The review identified ten major psychological interventions for the treatment of individuals with ASD: behavioral therapies, developmental therapies, cognitive behavioral therapy, social skills training, speech-language therapy, occupational therapy, family therapy, mindfulness-based interventions, parent-mediated interventions, and dance movement psychotherapy. The main text elaborates on the effects of each intervention on various aspects of ASD. By providing this comprehensive overview, clinicians can select appropriate therapeutic strategies that cater to the individual profiles of those with ASD, ultimately enhancing therapeutic outcomes and quality of life for this population.

INTERCONNECTION LINK ADDITIONS TOWARDS COMMUNICATION NETWORK CONSOLIDATION

The ever-increasing demand for modern communication services and the rising cost of capital and operating expenditures have led to interest in multi-operator network collaborations. These network operators manage different network domains and infrastructures, such that their topologies may be disjointed from each other, and require the addition of intermediate interconnection links for the domains to communicate with each other. The main contribution of this paper is the proposal of an integer linear program for finding the optimum set of interconnection links to be added to the multi-domain networks such that the multi-domain networks become a connected graph, while minimizing either (1) the total length of added interconnection links, (2) the total shortest path length between all the border nodes of the multi-domain networks, or (3) the total number of shortest hop counts between all the border nodes of the multi-domain networks. The proposed integer linear program is shown to find the optimum solution under various properties for the multi-domain networks, albeit with increased computation time as the size of the problem increases. Simulation results using randomly generated multi-domain networks show a trade-off in terms of length of added links, shortest path length and shortest path hop count for each specific objective function.

Technology-Based Interventions for Autism Spectrum Disorder: A Systematic Review

Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and repetitive behaviors. Its prevalence has steadily increased, with the CDC reporting a rise from 1 in 100 children in 2006 to 1 in 44 in the United States by 2021. ASD manifests in a spectrum of symptoms, requiring tailored interventions to address each child's unique needs. Recent advancements in technology have shown promise in aiding children with ASD, particularly through robotics and socially assistive robots (SARs). This systematic review explores the impact of technology-based interventions on children with ASD, assessing their efficacy in enhancing social skills, communication, and behavior regulation. Methodology: This review followed PRISMA guidelines, screening 46,580 articles across databases such as PubMed, Cochrane, Science Direct, Google Scholar, and PsychInfo. After applying inclusion and exclusion criteria, 254 studies were selected for in-depth review. The review focused on technology-based interventions, including robotics and socially assistive robots, with MeSH terms such as "Technology," "Artificial Intelligence," "Autism Spectrum Disorder," and "ASD." Results: Technology-based interventions, particularly SARs, demonstrated significant improvements in social interaction, emotional regulation, and communication for children with ASD. Robots such as LEGO Mindstorms and "Kaspar" were effective in enhancing eye contact, cooperation, and emotional recognition. However, results varied depending on the type of technology used, study design, and participant characteristics. Conclusion: While technology-based interventions hold promise for children with ASD, further research is needed to standardize intervention protocols, dosage, and long-term outcomes. These tools offer a non-invasive, scalable solution for enhancing social and cognitive skills, but variability in study designs limits definitive conclusions. Keywords: Autism Spectrum Disorder, Technology, Robotics, Socially Assistive Robots, Communication, Cognitive Skills, Applied Behavioral Analysis

Design of a quad-band bandpass filter based on 13-mode resonator

ABSTRACT A quad-band microstrip bandpass filter (BPF) based on a 13-mode resonator is proposed in this article with compact size, high band‐to‐band isolation, and multiple transmission zeros (TZs). The proposed filter is constructed by two transmission paths from the input to the output port, which employs the transversal cancellation mechanism of two transition paths to introduce extra nine TZs. Therefore, a total of 12 TZs are located at 0.2, 1.8, 2, 3.88, 4.61, 5.24, 5.9, 9.26, 9.51, 12.32, 12.75, and 13.27 GHz, respectively, realizing high selectivity. Moreover, the designed filter can achieve quad passbands with centered frequency at 0.95, 2.78, 7.32, and 10.63 GHz for the requirement of multi-service in modern communication systems, with wide bandwidth of 235, 790, 2200, and 1540 MHz, respectively. The measured results agree well with the simulation results, which proves the feasibility of the design method.

ML-based Anomaly Detection for CAN Bus Network in Agriculture Machinery

The adoption of advanced automation and next-generation technologies like the Internet of Things (IoT) and modern communication networks has revolutionized the food and agriculture sector, boosting the efficiency and precision of farm machinery. However, this increased inter-connectivity has also exposed significant vulnerabilities, particularly in Controller Area Network (CAN) protocols, widely used in advanced agricultural machinery and equipment. Due to its lack of inherent security features, CAN is susceptible to various cyber-attacks, potentially leading to severe consequences if these attacks remain undetected and unmitigated. This paper introduces a supervised machine learning (ML)-based anomaly detection system (CAN-ADS) designed to detect various cyber-attacks on CAN-based agricultural machinery. The system leverages network traffic augmentation and data balancing techniques to train ML algorithms on CAN-specific datasets. Experimental results show that CAN-ADS achieves high accuracy (approx 98%) and true-positive rates with low false-negative rates (approx 1%).

Empowering Dementia Communication via Virtual Reality AI-Driven Simulations

The use of effective communication skills is essential for direct care workers to provide quality care for persons living with dementia (PLWD) in long-term service and support settings (LTSS). However, direct care workers often report feeling unprepared, lacking competence in care, and fear interacting with PLWD. This proof-of-concept study proposes Virtual reality Communication Training Optimizing Real-world Interactions (VICTORI) intervention, aiming to develop and evaluate the usability, acceptability, and preliminary effectiveness of virtual reality (VR) simulated communication training for direct care workers using artificial intelligence (AI)-generated patients with dementia. Care-related and social communication scenarios in dementia care will be developed, based on current literature, our validated communication instrument, and AI technology. Six modules consisting of pre-briefing, simulation facilitation, and de-briefing will be developed, refined, and evaluated based on an advisory board of experts and direct care workers’ quantitative and qualitative feedback. To test the usability, acceptability, and effectiveness of the VICTORI intervention, we will use a single group pre- and post-test intervention design, integrating quantitative measures and qualitative semi-structured interviews in this mixed-methods study. Thirty direct care workers will be recruited at two LTSS in North Texas. Direct care workers will participate in six VR-AI simulation commu-nication training sessions that include communication with AI-generated patients, real-time feedback, and detailed evaluation of communication behaviors. Each simulation will be recorded to further evaluate the partici-pant’s communication skills using the Dyadic Communi-cation Observational coding scheme in Dementia care (DCODE). Additionally, participants' potential side effects during VR simulation will be assessed using continuous physiological data and self-reported questionnaires at each simulation session. Communication knowledge and com-petence in dementia care will be assessed before and after training using self-reported questionnaires. Direct care workers will also be interviewed to assess acceptability and satisfaction with the VICTORI training. This proposal will introduce innovative training methods that leverage AI technology into communication training in dementia care. Objective assessments, including AI-based feedback, physiological data, and observational assessments, ensure the reliability and validity of the data to evaluate plausibility of VICTORI intervention.

Understanding the Evolvement of Trust Over Time within Human-AI Teams

The success of human-AI teams (HATs) requires humans to work with AI teammates in trustful ways over a certain time period. However, how trust evolves and changes dynamically in response to human-AI team interactions is generally understudied. This work explores the evolvement of trust in HATs over time by analyzing 45 participants' experiences of trust or distrust in an AI teammate prior to, during, and after collaborating with AI in a three-member HAT. Our findings highlight that humans' expectations of AI's ability, integrity, benevolence, and adaptability influence their initial trust in AI before collaboration. However, this initial trust can be maintained or revised through the development of situational trust during collaboration in response to the AI teammate's communication behaviors. Further, the trust developed through collaboration can impact individuals' subsequent expectations of AI's ability and their collaborations with AI. Our findings also reveal the similarities and differences in the temporal dimensions of trust for AI and human teammates. We contribute to CSCW community by offering one of the first empirical investigations into the dynamic and temporal dimension of trust evolvement in HATs. Our work yields insights into the pathways to expanding the methodological toolkit for investigating the development of trust in HATs, formulating theories of trust for the HAT context. These insights further inform the effective design of AI teammates and provide guidance on the timing, content, and methods for calibrating trust in future human-AI collaboration contexts.