Primary Communication Research Articles

Deciphering the CNS-glioma dialogue: Advanced insights into CNS-glioma communication pathways and their therapeutic potential

The field of cancer neuroscience has rapidly evolved, shedding light on the complex interplay between the nervous system and cancer, with a particular focus on the relationship between the central nervous system (CNS) and gliomas. Recent advancements have underscored the critical influence of CNS activity on glioma progression, emphasizing the roles of neurons and neuroglial cells in both the onset and evolution of gliomas. This review meticulously explores the primary communication pathways between the CNS and gliomas, encompassing neuro-glioma synapses, paracrine mechanisms, extracellular vesicles, tunneling nanotubes, and the integrative CNS-immune-glioma axis. It also evaluates current and emerging therapeutic interventions aimed at these pathways and proposes forward-looking perspectives for research in this domain.

Unveiling Effectiveness: A Comparative Exploration of Task-Based Learning and Traditional Lecture Delivery in Teaching Engineering Drawing

Engineering drawing, conventionally referred to as engineering visuals, has served as the primary communication medium for engineers. In the realm of mechanical engineering, this mode of communication is heightened to the extent that it attains the status of a first language within its domain. Within engineering applications, any shortcomings in comprehending these drawings can result in significant expenses. The occurrence of errors in the interpretation of engineering drawings has consistently posed concerns within industries employing engineering professionals. Therefore, an urgent emphasis on enhancing the teaching-learning process within this drafting course is imperative. This article reports an attempt to elevate the graphical communication skills in a class of 2nd semester engineering students with the comparison of previous year data. The findings indicate that the instructional method has the capacity to improve engineering drawing skills, and this approach holds promise for raising proficiency within the span of a single semester of study. During the semester felicitators attempt one practice. Keywords: Graphical communication skills, engineering drawing, out of classroom approach

Biomarkers of mature neuronal differentiation and related diseases.

The nervous system regulates perception, cognition and behavioral responses by serving as the body's primary communication system for receiving, regulating and transmitting information. Neurons are the fundamental structures and units of the nervous system. Their differentiation and maturation processes rely on the expression of specific biomarkers. Neuron-specific intracellular markers can be used to determine the degree of neuronal maturation. Neuronal cytoskeletal proteins dictate the shape and structure of neurons, while synaptic plasticity and signaling processes are intricately associated with neuronal synaptic markers. Furthermore, abnormal expression levels of biomarkers can serve as diagnostic indicators for nervous system diseases. This article reviews the markers of mature neuronal differentiation and their relationship with nervous system diseases.

Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis.

As artificial intelligence (AI) takes an increasingly prominent role in health care, a growing body of research is being dedicated to its application in the investigation of communication sciences and disorders (CSD). This study aims to provide a comprehensive overview, serving as a valuable resource for researchers, developers, and professionals seeking to comprehend the evolving landscape of AI in CSD research. We conducted a bibliometric analysis of AI-based research in the discipline of CSD published up to December 2023. Utilizing the Web of Science and Scopus databases, we identified 15,035 publications, with 4,375 meeting our inclusion criteria. Based on the bibliometric data, we examined publication trends and patterns, characteristics of research activities, and research hotspot tendencies. From 1985 onwards, there has been a consistent annual increase in publications, averaging 16.51%, notably surging from 2012 to 2023. The primary communication disorders studied include autism, aphasia, dysarthria, Parkinson's disease, and Alzheimer's disease. Noteworthy AI models instantiated in CSD research encompass support vector machine, convolutional neural network, and hidden Markov model, among others. Compared to AI applications in other fields, the adoption of AI in CSD has lagged slightly behind. While CSD studies primarily use classical machine learning techniques, there is a growing trend toward the integration of deep learning methods. AI technology offers significant benefits for both research and clinical practice in CSD, but it also presents certain challenges. Moving forward, collaboration among technological, research, and clinical domains is essential to empower researchers and speech-language pathologists to effectively leverage AI technology for the study, diagnosis, assessment, and rehabilitation of CSD. https://doi.org/10.23641/asha.27162564.

What Generative AI Means for the Media Industries, and Why it Matters to Study the Collective Consequences for Advertising, Journalism, and Public Relations

How should scholars make sense of the rapid growth of generative artificial intelligence in media work? In this commentary, we argue that researchers can begin by stepping outside of their intellectual silos to see how the challenges and opportunities posed by generative AI are commonly shared across the media industries. We focus on three primary mass communication domains—advertising, journalism, and public relations—to illustrate how media professionals across these fields are adopting similar AI technologies (e.g., machine learning, natural language processing, and recommender systems) for often similar purposes (e.g., content creation, audience engagement, and business operations). Even more, the uptake of AI has profound consequences—for ethical norms as well as roles and relationships of humans and machines—that may be best understood across media industries more so than within them in isolation. Ultimately, a more cross-industry approach to scholarship could develop a more encompassing picture about AI's impact on media work and media consumption.

Edge Caching Placement Strategy based on Evolutionary Game for Conversational Information Seeking in Edge Cloud Computing

In Internet applications, network conversation is the primary communication between the user and server. The server needs to efficiently and quickly return the corresponding service according to the conversation sent by the user to improve the users’ Quality of Service. Thus, Conversation Information Seeking (CIS) research has become a hot topic today. In Cloud Computing (CC), a central service mode, the conversation is transmitted between the user and the remote cloud over a long distance. With the explosive growth of Internet applications, network congestion, long-distance communication, and single point of failure have brought new challenges to the centralized service mode. People put forward Edge Cloud Computing (ECC) to meet the new challenges of the centralized service mode of CC. As a distributed service mode, ECC is an extension of CC. By migrating services from the remote cloud to the network edge closer to users, ECC can solve the above challenges in CC well. In ECC, people solve the problem of CIS through edge caching. The current research focuses on designing the edge cache strategy to achieve more predictable caching. In this article, we propose an edge cache placement method Evolutionary Game based Caching Placement Strategy (EG-CPS). This method consists of three modules: the user preference prediction module, the content popularity calculation module, and the cache placement decision module. To maximize the predictability of the cache strategy, we are committed to optimizing the cache hit rate and service latency. The simulation experiment compares the proposed strategy with several other cache strategies. The experimental results illustrate that EG-CPS can reduce up to 2.4% of the original average content request latency, increase the average direct cache hit rate by 1.7%, and increase the average edge cache hit rate by 3.3%.

Parent-Child Communication Dynamics in Muhammadiyah Pagesangan Orphanage

Background: Effective communication is essential for nurturing children's moral development, particularly in orphanages. Specific Background: This qualitative study investigates communication dynamics between four caregivers and 19 children at the Muhammadiyah Pagesangan Orphanage in Surabaya. Knowledge Gap: Limited research exists on communication methods used in orphanages, especially for children from diverse socioeconomic backgrounds. Aims: The study aims to analyze communication patterns in moral guidance within the orphanage. Results: Findings indicate that children employ both primary and secondary communication methods to connect with distant parents, facing challenges such as limited phone access and socio-economic barriers. Novelty: This research highlights unique communication challenges in orphanages and proposes that effective communication fosters a nurturing environment. Implications: By promoting a loving communication atmosphere, caregivers can enhance children's emotional well-being and moral development, suggesting that communication is crucial for effective caregiving practices in orphanage settings. Highlights : Communication Patterns: Emphasizes the need for understanding how caregivers interact with children. Challenges: Identifies barriers faced by children in maintaining contact with parents. Nurturing Environment: Highlights the role of effective communication in promoting emotional well-being. Keywords: communication, orphanage, moral development, caregivers, qualitative research

Implementation of Raita Algorithm in Manado-Indonesia Translation Application with Text Suggestion Using Levenshtein Distance Algorithm

Abstract. Manado City is one of the multidimensional and multicultural cities, possessing assets that are considered highly potential for development into tourism and development attractions. The current tourism assets being developed by the Manado City government are cultural tourism, as they hold a charm and allure for tourists. Hence, a communication tool in the form of a translation application is necessary for facilitating communication between visiting tourists and the native community of North Sulawesi, even for newcomers who intend to reside in North Sulawesi, given that the Manado language serves as the primary communication tool within the community. This research employs a combination of the Raita algorithm and the Levenshtein distance algorithm in its creation process, along with the confusion matrix method to calculate the accuracy of translation results using the Levenshtein distance algorithm with a text suggestion feature. The research begins by collecting a dataset consisting of Manado language vocabulary and their translations in Indonesia language, sourced from literature studies and original respondents from North Sulawesi, which have been validated by a validator to prevent translation data errors. The subsequent stage involves preprocessing the dataset, converting the entire content of the dataset to lowercase using the case folding process, and removing spaces at the start and end of texts using the trim function. Next, both algorithms are implemented, with the Raita algorithm serving for translation and the Levenshtein distance algorithm providing text suggestions for typing errors during the translation process. The accuracy results derived from the confusion matrix calculations during the translation process of 100 vocabulary words, accounting for typing errors, indicate that the Levenshtein distance algorithm is capable of effectively translating vocabulary accurately and correctly, even in the presence of typing errors, resulting in a high accuracy rate of 94,17%. Purpose: To determine the implementation of the Levenshtein distance and Raita algorithms in the process of using the Manado-Indonesian translation application, as well as the resulting accuracy level. Methods/Study design/approach: In this study, a combination of the Raita and Levenshtein distance algorithms is utilized in the translation application system, along with the confusion matrix method to calculate accuracy. Result/Findings: The accuracy achieved in the translation process using text suggestions from the Levenshtein distance algorithm is 94.17%. Novelty/Originality/Value: This research demonstrates that the combination of the Raita and Levenshtein distance algorithms yields optimal results in the vocabulary translation process and provides accurate outcomes from the use of effective text suggestions. This is attributed to the fact that nearly all the data used was successfully translated by the system, even in the presence of typographical errors.

Radiotelephony Untuk Personel Pangkalan TNI AU Atang Sendjaja

In the aviation industry, radiotelephony is the primary communication tool between pilots and personnel involved in aircraft operations. According to the Director General of Civil Aviation Regulation Number KP 038 of 2017, personnel providing apron management services are required to have specific licenses, such as Air Traffic Controllers, Aeronautical Communication Officers (ACO), or Apron Movement Controllers (AMC), with additional skills in radiotelephony. However, the personnel at the Atang Sendjaja Air Force Base currently do not meet the radiotelephony competency requirements. To perform services according to national and international standards, the use of radiotelephony is essential. To address this need, a training program was conducted as part of a community service initiative, aimed at equipping personnel with radiotelephony skills in line with applicable regulations. This training includes both theoretical and practical sessions conducted on-site, utilizing table-top exercise simulation methods. The outcome of this training indicates that the personnel at the Atang Sendjaja Air Force Base have acquired adequate skills to implement radiotelephony in their daily operational activities.

Digital Architectural Archives – Aesthetic Reading

My aim in this paper is to examine the impact of digital technology on the perception and practice of architecture. Online activities leave discernible traces, challenging the traditional ontological view of the subject’s independence from the material world. I will offer an exploration of the Internet’s role as the primary communication medium transforms architectural practice, emphasizing digital archives and distribution. Platforms like Pinterest, ArchDaily, and Instagram have transformed how architectural practices are shared and consumed, cultivating a new culture of multimodal communication. Within this context, I will discuss how digital technologies have profoundly altered perceptions of materiality, space, and information. I will explore how architects and artists now operate within an interconnected network of social, economic, and technological forces, moving away from traditional media to embrace digital fragmentation. This shift impacts how architectural objects are perceived, from complete forms to fragmented digital representations that are accessible to a global audience.

A deep reinforcement learning framework and its implementation for UAV-aided covert communication

In this work, we consider an Unmanned Aerial Vehicle (UAV)-aided covert transmission network, which adopts the uplink transmission of Communication Nodes (CNs) as a cover to facilitate covert transmission to a Primary Communication Node (PCN). Specifically, all nodes transmit to the UAV exploiting uplink non-Orthogonal Multiple Access (NOMA), while the UAV performs covert transmission to the PCN at the same frequency. To minimize the average age of covert information, we formulate a joint optimization problem of UAV trajectory and power allocation designing subject to multi-dimensional constraints including covertness demand, communication quality requirement, maximum flying speed, and the maximum available resources. To address this problem, we embed Signomial Programming (SP) into Deep Reinforcement Learning (DRL) and propose a DRL framework capable of handling the constrained Markov decision processes, named SP embedded Soft Actor-Critic (SSAC). By adopting SSAC, we achieve the joint optimization of UAV trajectory and power allocation. Our simulations show the optimized UAV trajectory and verify the superiority of SSAC compared with various existing baseline schemes. The results of this study suggest that by maintaining appropriate distances from both the PCN and CNs, one can effectively enhance the performance of covert communication by reducing the detection probability of the CNs.

Understanding Older Adults' Experiences With a Digital Health Platform in General Practice: Qualitative Interview Study.

In our aging population, primary care is under pressure to remain accessible to all. Effective use of digital health care could potentially lower general practitioners' (GPs) workload. Some general practices are already implementing a digital health platform as a primary method to contact their patients. However, it is unknown how older people experience this novel way to communicate with their GP. The aim of this study was to study the experiences of patients aged 65 years and older in general practices who use digital health as a primary communication tool. The secondary aims were to identify barriers and facilitators for the use of digital health care and whether a practice focus on digital health influences older patients' choice to enlist. We invited all patients aged 65 years and older at 2 general practices in Amsterdam that work with a novel digital health platform. We used purposive sampling to select a heterogeneous group of patients in terms of age, sex, level of education, digital literacy, and experiences with the digital app of their general practice. We conducted 18 semistructured interviews from May through July 2023. All interviews were audio-recorded, transcribed, coded, and thematically analyzed. We generated three themes: (1) experiences of older people with digital health care in general practice, (2) impact of individual factors on digital health experiences, and (3) reasons for choosing a digitally oriented general practice. Participants reported both positive and negative experiences. The main perceived advantages of the digital health platform were increased accessibility, direct GP contact without an intermediary, and saving time through asynchronous communication. The disadvantages mentioned were log-in difficulties and problems with the automated explanatory questionnaire. Individual factors such as age, digital literacy, and expectations of general practice care seemed to impact people's experiences and could act as barriers or facilitators for using digital health. Reasons for older patients to enlist at a general practice were mainly practical. The digital orientation of the practice hardly played a role in this choice. Older patients in general practice see benefits to using a digital health platform that offers 2-way chat-based communication between the patient and GP. We found that individual factors such as skills, norms and values, attitudes toward digitalization, and expectations of general practice care impacted older patients' experiences with digital health care. For many older participants, the digital profile of the general practice did not play a role in their choice to enlist. Further improvement of digital health platforms will be necessary to ensure digital health for all in general practice.

Quantification of Automatic Speech Recognition System Performance on d/Deaf and Hard of Hearing Speech.

To evaluate the performance of commercial automatic speech recognition (ASR) systems on d/Deaf and hard-of-hearing (d/Dhh) speech. A corpus containing 850 audio files of d/Dhh and normal hearing (NH) speech from the University of Memphis Speech Perception Assessment Laboratory was tested on four speech-to-text application program interfaces (APIs): Amazon Web Services, Microsoft Azure, Google Chirp, and OpenAI Whisper. We quantified the Word Error Rate (WER) of API transcriptions for 24 d/Dhh and nine NH participants and performed subgroup analysis by speech intelligibility classification (SIC), hearing loss (HL) onset, and primary communication mode. Mean WER averaged across APIs was 10 times higher for the d/Dhh group (52.6%) than the NH group (5.0%). APIs performed significantly worse for "low" and "medium" SIC (85.9% and 46.6% WER, respectively) as compared to "high" SIC group (9.5% WER, comparable to NH group). APIs performed significantly worse for speakers with prelingual HL relative to postlingual HL (80.5% and 37.1% WER, respectively). APIs performed significantly worse for speakers primarily communicating with sign language (70.2% WER) relative to speakers with both oral and sign language communication (51.5%) or oral communication only (19.7%). Commercial ASR systems underperform for d/Dhh individuals, especially those with "low" and "medium" SIC, prelingual onset of HL, and sign language as primary communication mode. This contrasts with Big Tech companies' promises of accessibility, indicating the need for ASR systems ethically trained on heterogeneous d/Dhh speech data. 3 Laryngoscope, 2024.

Placenta Extracellular Vesicles: Messengers Connecting Maternal and Fetal Systems.

The placenta operates during gestation as the primary communication organ between the mother and fetus. It is essential for gas, nutrient exchange, and fetal waste transfer. The placenta also produces a wide range of hormones and other factors that influence maternal physiology, including survival and activity of the corpus luteum of the ovary, but the means whereby the placenta shapes fetal development remain less clear, although the fetal brain is thought to be dependent upon the placenta for factors that play roles in its early differentiation and growth, giving rise to the term "placenta-brain axis". Placental hormones transit via the maternal and fetal vasculature, but smaller placental molecules require protection from fetal and maternal metabolism. Such biomolecules include small RNA, mRNA, peptides, lipids, and catecholamines that include serotonin and dopamine. These compounds presumably shuttle to maternal and fetal systems via protective extracellular vesicles (EVs). Placental EVs (pEVs) and their components, in particular miRNA (miRs), are known to play important roles in regulating maternal systems, such as immune, cardiovascular, and reproductive functions. A scant amount is known about how pEVs affect fetal cells and tissues. The composition of pEVs can be influenced by gestational diseases. This review will provide critical insight into the roles of pEVs as the intermediary link between maternal and fetal systems, the impact of maternal pathologies on pEV cargo contents, and how an understanding of biomolecular changes within pEVs in health and disease might be utilized to design early diagnostic and mitigation strategies to prevent gestational diseases and later offspring disorders.

Designing Cultural Adaptations of Caregiver-Implemented Interventions for Latinx Caregivers of Children Who Use Augmentative and Alternative Communication: Key Considerations.

Caregivers play a critical role in their children's development and serve as their primary communication partners. Family interactions provide the most naturally occurring opportunities for children with complex communication needs to learn language in the context of family routines. A growing body of research suggests that caregivers can effectively support their children's use of augmentative and alternative communication (AAC) systems when provided with appropriate training and coaching through caregiver-implemented interventions (CIIs). However, the efficacy of these interventions remains untested among culturally and linguistically diverse caregivers. Given the increasing diversity in the United States, there is a pressing need to develop CIIs that align with the cultural and linguistic preferences of diverse families. Using the Ecological Validity Framework and the Checklist for Cultural Adaptations, this tutorial explores considerations for culturally adapting caregiver-implemented AAC interventions for Latinx caregivers of children with AAC needs. The aim is to ensure that interventions are relevant, meaningful, and respectful of cultural and linguistic practices. Through carefully crafted cultural adaptations, interventions can achieve greater acceptance by caregivers. This tutorial suggests a series of cultural adaptations to ensure accessibility, sustainability, and success of caregiver-implemented AAC interventions for Latinx caregivers of children with AAC needs. By incorporating cultural and linguistic considerations into the intervention design, we can enhance its acceptability among Latinx caregivers. This, in turn, can lead to improved outcomes in AAC implementation within the home environment.

Physical-layer security for primary users in 5G underlay cognitive radio system via artificial-noise-aided by secondary users

The advent of the Internet of Things (IoT) has revolutionized connectivity by interconnecting a vast array of devices, underscoring the critical need for robust data security, particularly at the Physical Layer Security (PLS). Ensuring data confidentiality and integrity during wireless communications poses a primary challenge in IoT environments. Additionally, within the constrained frequency bands available, Cognitive Radio Networks (CRNs) has emerged as an urgent necessity to optimize spectrum utilization. This technology enables intelligent management of radio frequencies, enhancing network efficiency and adaptability to dynamic environmental changes. In this research, we focus on examining the PLS for the primary channel within the underlying CRNs. Our proposed model involves a primary source-destination pair and a secondary transmitter-receiver pair sharing the same frequency band simultaneously. In the presence of a common eavesdropper, the primary concern lies in securing the primary link communication. The secondary user (SU) acts as cooperative jamming, strategically allocating a portion of its transmission power to transmit artificial interference, thus confusing the eavesdropper and protecting the primary user's (PU) communication. The transmit power of the SU is regulated by the maximum interference power tolerated by the primary network's receiver. To evaluate the effectiveness of our proposed protocol, we develop closed-form mathematical expressions for intercept probability ( P int ) and outage probability (OP) along the primary communication link. Additionally, we derive mathematical expressions for OP along the secondary communications network. Furthermore, we investigate the impact of transmit power allocation on intercept and outage probabilities across various links. Through both simulation and theoretical analysis, our protocol aims to enhance protection and outage efficiency for the primary link while ensuring appropriate secondary OP, thereby contributing to advancements in IoT security and spectrum management.

Special educational needs provision and academic outcomes for children with teacher reported language difficulties at school entry

AbstractBackgroundLanguage ability predicts academic attainment across the curriculum. Teacher report of language difficulties may therefore help schools identify children that require Special Educational Needs (SEN) provision. Special Educational Needs provision is intended to enable children to reach their academic potential, however the effectiveness of this for children with language difficulties is unknown.MethodsWe linked teacher‐ratings on a brief language difficulties questionnaire (13‐item) collected in the first year of primary school (N = 7013), with data on SEN provision until age 12–13 and scores on statutory assessments at ages 5–6, 6–7 and 10–11 years from the National Pupil Database (UK). We conducted a preregistered analysis to (a) test the association between teacher‐reported language difficulties and later academic outcomes, (b) identify predictors of subsequent SEN provision for monolingual children with language difficulties and (c) test whether SEN provision is associated with better academic outcomes for these children.ResultsTeacher‐reported language difficulties predicted achievement in phonics (rs > 0.41), reading (rs > 0.38), writing (rs > 0.32) and maths (rs > 0.40) assessments up to 7 years later. For those with language difficulties, having an existing diagnosis of a neurodevelopmental condition or sensory impairment was the strongest predictor of SEN registration (OR [95% CI] 8.33 [4.12, 19.24]) and special education placement (OR [95% CI] 18.89 [9.29, 42.01]) during primary school. However, 38% of children registered as having a primary speech, language and communication need, lost this registration during transition to secondary education. We could not estimate the effect of SEN provision on academic outcomes, as the majority of children with high propensity to receive SEN provision did receive provision, and very few children in SEN settings completed statutory assessments.ConclusionsTeacher perceptions of language difficulties at school entry, in the presence of additional risk factors, should prompt SEN provision. Recognition and support for language difficulties should be sustained throughout children's education.

“We Lost Our Connection with the Children, the Smiles, the ‘Good Mornings’”: Caring for Special Education Pupils During the COVID-19 Lockdown

Special education teachers care for their pupils’ physical, emotional, and social needs, serve as the primary communication channel between the school and the parents, and coordinate other care workers such as paraprofessionals and psychologists. During the COVID-19 pandemic, the Israeli special education system moved to distance instruction, and slowly resumed operations following the first lockdown, even while the general education system remained shuttered. The life-threatening situation of the pandemic, where special education workers faced the crisis situation both personally and at the same time, professionally, in helping their students, families, and colleagues, created a situation of “shared trauma” for the teachers. Semi-structured interviews with 17 Israeli special education teachers were conducted to explore how they experienced the phenomenon of the pandemic. The teachers felt frustrated with the system, fearful for their health, lonely, and helpless in their ability to accomplish their job. Their work was negatively affected by masking and distance restrictions upon returning to the classroom. Many teachers benefitted from the support of colleagues and principals. We explore the implications for those who work with special education pupils and highlight the potential for increased cooperation and collaboration between care workers for their own benefit and the welfare of children.

A Black-Box Privacy Analysis of Messaging Service Providers' Chat Message Processing

Online messaging has rapidly emerged as today's primary communication platform, extending from personal, to business and even to government channels. But can these services be trusted to maintain the privacy of your communication? This paper addresses this question by evaluating 105 different online messaging platforms. Utilizing “honey” messages and active HTTP(S) , WebSocket, and WebRTC traffic monitoring, along with continuous observation of honey token access, we determine which messaging services process user messages beyond mere transmission. We conduct a large-scale honey token-based study on 69 popular web and 36 mobile messaging applications. Our findings reveal that 34 % of messaging services show capabilities of server-side message analysis. Seven of these messengers evidently conduct an extended analysis of the messages, reusing the results hours to an observed maximum of a month after the chat concluded. This shows that one cannot automatically expect the same confidentiality when chatting via messengers compared to in-person communication.

Pandemic Communications Beyond Risk and Crisis: A Change of Course for Law Enforcement During COVID-19

ABSTRACT COVID-19 contributed to what we know about pandemic communications, typically framed through risk and crisis. Risk and crisis as frameworks are limited, however, and this article argues that there are differences between primary and secondary pandemic communications, illustrated in this study by the typically change-adverse law enforcement community (LEC) that during COVID-19 not only had to control risk but also had to change their course on other nonrisk and crisis communications practices.