Communication Characteristics Research Articles

Дискурсивні характеристики комунікантів модифікованих паремій

The article is devoted to the study of the discursive characteristics of communicators (both the addresser and the addressee) of occasionally modified paremias in modern German-language media discourse. Modified paremias are seen as the result of adaptation of traditional paremias to the features of socio-cultural re-evaluation of social norms and stereotypes, «speech democratization». In the study, it is noted that the modification of paremias is communicatively productive due to the text-forming features of traditional paremias, which serve as templates for new attitudes and semantic associations creation. The inclusion of modifications in the discourse is carried out by the addresser taking into account cognitive and communicative characteristics of the addressee. It was determined that occasionally modified paremias, on the one hand, preserve the established structural and semantic characteristics of traditional paremias, and on the other hand, introduce new communicative meanings and intentions that may correlate or contrast with the original source. It has been suggested that the addresser exerts a dual emotional and intellectual influence on the addressee by means of preserving conceptual implications of traditional paremia, and declaring a subjective vector of cognitive interpretation of information, as well as the type of interpersonal relations with the addressee. It has been concluded that in the aspect of interpersonal relations between communicators, priority is given to social statuses. The dual nature of the addresser’s social status is decisive, as a synergy of the borrowed status of traditional paremia and their personal status. The success of speech cooperation is ensured by interest, communicative identity in terms of background and propositional knowledge, interdependence of the addresser and the addressee. The addresser softens the socially determined authority of traditional paremia for the sake of establishing contact, a certain intimacy, dialogization and simplification of communication with the addressee.

Augmenting Judicial Practices With LLMs: Re-thinking LLMs' Uncertainty Communication Features in Light of Systemic Risks

Augmenting Judicial Practices With LLMs: Re-thinking LLMs' Uncertainty Communication Features in Light of Systemic Risks

Optical Fibre Communication Feature Analysis and Small Sample Fault Diagnosis Based on VMD-FE and Fuzzy Clustering

Optical Fibre Communication Feature Analysis and Small Sample Fault Diagnosis Based on VMD-FE and Fuzzy Clustering

Анализ речевого портрета участников политических дебатов (на примере телевизионных дебатов кандидатов в губернаторы региона)

This paper is a study of speech portraits of two candidates for the post of the head of the Republic of Khakassia — V. O. Konovalov and S. M. Sokol from the position of linguopersonology, linguopragmatics and the emerging field of linguistics — linguopolitical personology, the object of study of which is the linguistic personality of a politician. In the course of the study, the features of speech portraits are revealed, the characterisation of lexical, stylistic means and communicative features of V. O. Konovalov and S. M. Sokol’s speeches are presented.

IS3CQL : Intelligent sleep scheduling of small cells in high density 5G MIMO networks via incremental Deep Q learning optimizations

Effective management of small cell networks is crucial as the demand for fast, lowlatency communication grows as a result of the development of 5G and Massive Multiple Input Multiple Output (M-MIMO) technology. Small cell sleep cycle scheduling in highdensity networks frequently encounter issues as it tries to strike a compromise between energy efficiency, quality of service (QoS), and maintaining a high throughput. Additionally, these traditional methods ignore the complex spatial and temporal communication characteristics, resulting in subpar network performance. In order to overcome these difficulties, we suggest a brand-new intelligent sleep scheduling approach that makes use of both fundamental green computing ideas and incremental deep learning. In order to determine the best sleep schedules for tiny cells, our model takes into account both temporal and spatial communication factors, such as end-to-end delay, packet delivery ratio, throughput, and energy consumption of the nodes. The model adjusts the small cells’ sleep scheduling based on the ongoing spatial-temporal fluctuations in the network, providing the best possible use of resources. Additionally, its focus on green computing helps to lower energy consumption during extensive connections, making it an environmentally beneficial alternative for different scenarios. Under enormous MIMO situations, the results from our model show a significant improvement over the current approaches. These improvements include a notable improvement in communication consistency, a notable increase in throughput, a noticeable increase in packet delivery ratio, and a noticeable decrease in energy consumption and delay. In summary, our concept is a major step forward in the continuous development of intelligent, resilient, and effective 5G MIMO networks.

Design analysis of moth-flame optimized fault tolerant technique for minimally buffered network-on-chip router

<span>A network on a chip is a solitary silicon chip utilized to perform the communication characteristics of large-scale (LSI) to very large-scale integration (VLSI) systems. Network-on-chip (NoC) architecture includes links, network interfaces (NI), and routers to unite with external memories or processors. NoC is designed to flow messages from the source module to the destination module through several links involving routing decisions. <br /> The design of NoC is complex and the buffer section’s expensiveness creates problems while providing secured data service. Moreover, routers and links in NoC setups are liable to faults. This work introduces a minimal buffered router, and the faults in the network are optimized using moth flame optimized (MFO) fault-tolerant technique. The software named Xilinx ISE design suite 14.5 is employed for the minimum buffered router model. <br /> The suggested scheme is operated with less area, low power (0.241 mW), and high speed (965.261 Megahertz (MHz)) when matched with previous works.</span>

Research on Key Technologies of Smart Breeding Platform Based on 5G

Abstract In modern animal husbandry, the application of 5G technology opens a new era of farming management, especially in intelligent farming. The high-speed and low-latency communication characteristics make remote monitoring, data transmission, and thoughtful decision-making possible, significantly improving breeding efficiency and management. It has great potential for monitoring animal health, preventing and controlling diseases, and improving production efficiency. This paper explores the application of 5G technology in an intelligent farming management platform and its key technologies. By analyzing the needs of smart farming, we clarify the key application areas of 5G technology. To identify sick pigs, measure their weight accurately using binocular vision technology, and combine with machine learning algorithms, the YOLO v3 algorithm is utilized. The accuracy of sick pig identification based on YOLO v3 reaches 98%, the error of pig weight measurement is controlled within ±2%, and the real-time data transmission and processing realized by 5G technology significantly improves the efficiency of disease prevention and control.5G technology can effectively support the efficient operation of the intelligent farming platform, which is of great significance to enhance the level of farming management and promote the sustainable development of the animal husbandry industry.

Impact of Symmetrical Internal Communication on Determinants of Organizational Employee Performance

The impact of Symmetrical Internal Communication on employee performance factors is explored in this study. Quality employee relationships and supportive attitudes toward the organization could be the outcome of excellent Symmetric Internal Communications. Scholars of public relations have validated this link. As a result, there is a lack of studies on the mechanisms via which Symmetrical Internal Communication affects Employee Performance. However, few researchers look into the aspects that may aid businesses in designing a Symmetrical Internal Communication system in order to improve Employee Performance. Internal communication that is symmetrical adds to employee performance, which, in turn, is a predictor of employee satisfaction with their work Symmetrical Internal Communication and organizational identification on employee performance, providing an integrative conceptual framework and suggesting an improved direction for future research using Symmetrical Internal Communication and Social Identity theory from the perspective of employee communication behavior. 385 employees from various organizations in the Colombo district participated in an online poll. The sample included personnel from the Industry, Service, and Agricultural sectors. The questionnaire contains questions that examine a variety of phenomena, such as respondents’ demographic profile, Symmetrical Internal Communication Characteristics, and Employee Performance.

Aggrephagy-related gene signature correlates with survival and tumor-associated macrophages in glioma: Insights from single-cell and bulk RNA sequencing.

Aggrephagy is a lysosome-dependent process that degrades misfolded protein condensates to maintain cancer cell homeostasis. Despite its importance in cellular protein quality control, the role of aggrephagy in glioma remains poorly understood. To investigate the expression of aggrephagy-related genes (ARGs) in glioma and in different cell types of gliomas and to develop an ARGs-based prognostic signature to predict the prognosis, tumor microenvironment, and immunotherapy response of gliomas. ARGs were identified by searching the Reactome database. We developed the ARGs-based prognostic signature (ARPS) using data from the Cancer Genome Atlas (TCGA, n = 669) by Lasso-Cox regression. We validated the robustness of the signature in clinical subgroups and CGGA cohorts (n = 970). Gene set enrichment analysis (GSEA) was used to identify the pathways enriched in ARPS subgroups. The correlations between ARGs and macrophages were also investigated at single cell level. A total of 44 ARGs showed heterogeneous expression among different cell types of gliomas. Five ARGs (HSF1, DYNC1H1, DYNLL2, TUBB6, TUBA1C) were identified to develop ARPS, an independent prognostic factor. GSEA showed gene sets of patients with high-ARPS were mostly enriched in cell cycle, DNA replication, and immune-related pathways. High-ARPS subgroup had higher immune cell infiltration states, particularly macrophages, Treg cells, and neutrophils. APRS had positive association with tumor mutation burden (TMB) and immunotherapy response predictors. At the single cell level, we found ARGs correlated with macrophage development and identified ARGs-mediated macrophage subtypes with distinct communication characteristics with tumor cells. VIM+ macrophages were identified as pro-inflammatory and had higher interactions with malignant cells. We identified a novel signature based on ARGs for predicting glioma prognosis, tumor microenvironment, and immunotherapy response. We highlight the ARGs-mediated macrophages in glioma exhibit classical features.

The Characteristics of Face-to-Face Communication Using Consecutive Speech Machine Translation Technology

The growing role of technology in society, particularly machine translation, has grown due to its enhanced accuracy. Yet, communication quality depends not only on translation precision but also on user factors. It is vital to understand communication characteristics when using machine translation for its future application in daily life, business, and education. This study investigates these characteristics in face-to-face communication using consecutive speech machine translation technology. Participants were international students at a Japanese university who conversed using speech machine translation. Despite mistranslations, they continued to communicate, either understanding most of the message or giving up due to incomprehension. Notably, the turn-taking order was alternated mechanically, even when there was a long wait for the other person to speak. Unlike previous studies, gestures were not used to overcome communication barriers due to mistranslations; rephrasing was preferred. This study proposes the concept of “speech production load,” the burden of device operation and translation waiting time, as a determi-nant of the relationship between a speech machine translation system and user communication behavior in the context of modern technology.

Study on the Application of Multi-Communication Mode of Integrated Media in Revitalizing the Industrial Development of Rural Culture and Sports Sector

Abstract The communication of rural culture and sports not only carries the inheritance and development of local culture but is also an important manifestation of rural revitalization and cultural self-confidence. With reference to the communication characteristics of information related to rural culture and sports, this paper combines traditional and new media to design a multimedia communication model for rural culture and sports. A three-stage DEA model, including the SFA model, is used to measure the development efficiency of the rural culture and sports industry under the multimedia communication model. It is found that after the implementation of the multivariate communication model of integrated media, the audience of rural culture and sports in Z city shows an increasing trend, and the social support efficiency index of rural culture and sports industry reaches 0.9770, which achieves a considerable communication effect. At the same time, the total output and added value of the industry in the field of rural culture and sports also increased rapidly, and its output value accounted for 43.64% of the total sports industry in 2023. The multifaceted communication model of integrated media designed in this paper is conducive to revitalizing the development of industries in the field of rural culture and sports, promoting the sharing of national culture as well as building a new era of rural economy.

Research on the International Communication Characteristics of Mainstream Media from the Perspective of Five Abilities of Communication —Taking the Winning Works of China News Service from 2020 to 2023 as an Example

Research on the International Communication Characteristics of Mainstream Media from the Perspective of Five Abilities of Communication —Taking the Winning Works of China News Service from 2020 to 2023 as an Example

Relationship between socio-personal and communication characteristics of mushroom trainees and selected impact indicators

Relationship between socio-personal and communication characteristics of mushroom trainees and selected impact indicators

Mathematical modelling in the discourses of the KOM and PISA frameworks and teacher interviews

ABSTRACT Mathematical modelling is emphasised in curricula worldwide. Since 2006, mathematical modelling has been considered a fundamental process in the mathematics subject in Norwegian upper secondary schools. This study aimed to identify tensions in the approaches to mathematical modelling expressed in teacher interviews (N = 4) and framework discourses (KOM and PISA) by four characteristics of communication (word use, routines, visual mediators and endorsed narratives). The tensions identified encompassed students’ abilities to make choices and decisions during modelling activities and connection to specific mathematical content or real-life situations. Teachers also questioned the relevance of mathematical modelling, even though the main reason for the implementation of mathematical modelling in education is to make school mathematics relevant for everyday life.

The Determination of Mediating Effect of Market Orientation and User-Generated Content in Using Social Media Features for Knowledge Sharing

The goal of this research is to study the mediating role of market orientation and user-generated content in the correlation between user-friendliness, security, and communication features pertaining to social media and knowledge sharing. The purpose of this study is to elucidate the prevailing online businesses in Sri Lanka about how to customize their businesses through knowledge sharing. The study is conducted with a vision to enrich online businesses with the involvement of support from market orientation and user-generated content, which is facilitated through social media platforms. A sample of 112 online businesses operating on the social media platform was selected using random sampling techniques for this research study. A structured Google form was adapted to collect data. The results of the study elaborate that market orientation does not have a significant mediating impact on the relationship between user-friendly features and knowledge sharing, while user-generated content mediates the relationship between all social media features and knowledge sharing. The highest mediating effect of user-generated content is evident for the communication feature. Based on the research outcomes, it is recommended for online businesses to encourage customers to review their businesses to ameliorate the functioning of their businesses through knowledge sharing. It is also recommended to improve business operations within social media boundaries to make them more user-friendly to expedite knowledge sharing. Furthermore, it is also recommended to bolster screening mechanisms for social media business operations to restrict unauthorized access and encourage the protection of sensitive data for the business.

CEO Communications and ESG Performance: Deciphering the Impact of Corporate Narratives

In the realm of corporate economics, this study explores the influence of CEO communications within Corporate Social Responsibility (CSR) reports on a firm's Environmental, Social, and Governance (ESG) performance. It specifically examines the content, tone, and strategies of CEO messages in CSR reports of companies with top ESG scores from S&P Global Indices. The research aims to study the correlation between the linguistic characteristics of the CEO communications and the company's ESG performance. By analyzing key themes and content strategies in CEO communications, the study assesses their effectiveness in enhancing ESG practices within organizations. Our methodology includes analyzing qualitative aspects of CEO communications in CSR reports, and correlating them to the ESG performance. The findings indicate a significant connection between the qualitative aspects of CEO letters and ESG performance. CEOs emphasizing wellness, environmental impact, and business responsibility are perceived more favorably, suggesting a need for more readable and less polarized CEO communications to engage stakeholders and investors effectively. The study contributes both theoretically and managerially, offering insights into the impact of CEO communication on corporate sustainability and providing guidance for advancing a company's commitment to sustainable economic growth and ethical business practices.

Development of Digital Literacy for Teachers

Abstract. Digital literacy is important for everyone, including educators who must appreciate the value of utilizing technology responsibly. At this turn, the community service project took place at Muhammadiyah Trensains High School Sragen in Central Java. One of Muhammadiyah's institutions prioritizes the integration of science and Islamic boarding school curricula. It can be challenging for people to stay up to date with the newest technology and tools in the digital world because it is continuously expanding and changing. Workshops on digital literacy can teach participants how to utilize new tools and platforms efficiently as well as how to stay current with the newest technological developments. Digital citizenship, which entails using technology in a responsible, ethical, and courteous way, can be promoted through training on digital literacy. Digital ethics, privacy, and security, as well as appropriate online conduct, are topics that participants can learn about. Following observations made during participant Q&A sessions, instructional materials are distributed. Participants also participated in hands-on activities and got feedback via post-training evaluations. The findings show that workshop attendees understand journalistic ethics, the characteristics of digital media communications, and the ability to produce supportive messages and content for tolerance in the social media landscape. Overall, from the workshop teachers can conduct and apply journalistic norms and explain the news from a specific case that was shown to them. The workshop materials also include critical thinking exercises that can be utilized to round out teachers understanding of digital literacy

THE SPECIFICS OF VERBAL COMMUNICATION OF YOUNG LEARNERS (BASED ON MATERIAL FROM POPULAR LITERATURE AND THEMED WEBSITES)

The paper offers a systemization of tools to study child discourse (thesaurus, text corpora, speech data and etc.). Modelling of linguistic activity involves various methods studying child speech at different stages of its development in connection with forming cognitive, social, psychological skills, and acquired gender stereotypes in communication. Establishment of a register for linguistic resources for child speech research is currently a relevant objective. In multimodal corpora, both linguistic and metalanguage material modeling children's discourse is presented; the corpus can be provided with markup to characterize prosody of speech and non-verbal means of communication. In multimodal corpora, texts are linked to other materials, which allows you to accurately reproduce the features of communication (gender, age, emotive sides of speech, etc.). The concepts of dictionaries of children's speech are diverse (content platforms, explanatory dictionaries, thesaurus dictionaries, thematic, motivational dictionaries, dictionaries of innovation, etc.). In our opinion, lexicographic sources form a new branch of lexicography, which can be associated both with the development of the theoretical foundations of a new field of research and with the creation of a new type of dictionaries.

Effective Communication Methods in Entrepreneurship Case Study of Qism Maqsof Banat STIBA Ar Raayah Sukabumi

This research aims to find out the effective communication methods of Qism Maqshaf Banat STIBA Ar Raayah in entrepreneurship. STIBA Ar Raayah students come from all over the archipelago from Sabang to Merauke which of course consists of various cultures, language dialects and distinctive communication characteristics in enriching the treasures of communication diversity in this pesantren-based college. This research uses a case study method with a qualitative approach supported by interviews, observation, and documentation. The results showed that to achieve effective internal communication, Qism Maqshaf goes through a series of processes, namely by conducting research on the needs and desires of female students and then in a traditional way they spread product reviews, as well as evaluating and providing feedback to suppliers. Qism Maqshaf members always provide the best service for prospective buyers in accordance with the vision and mission of business communication, such as by trying to understand the cultural characters and language dialects of each student who is a customer. Communication that is put forward in muamalah here is persuasive communication, which is to change or influence a person's attitude or behavior so that it acts in accordance with what is expected by the communicator.

Research on effective communication forms and characteristics of public service advertisements for nurturing parenting skills in China

This study is part of a larger research aimed at enhancing effective communication of parenting skills knowledge to Chinese parents. The purpose is to explore how to transform public service advertisements into effective training methods for Chinese parents by studying the media form, content expression, symbolic elements and other aspects of public service advertisements in China. This study documents the identification of effective communication characteristics of PSAs, in which advertisements in the form of cold and hot media have different sensory experience characteristics, their expressions of the central processing path, and the expression of the peripheral processing path of advertisements, which could be transformed to improve information transmission and are attractive to observers. The results found different characteristics in terms of language and nonverbal advertising content, which could create different effects on observers. This article mainly studies the different roles of different media forms, content expression, and symbolic elements in public service advertisements, as well as the communication effects of different forms of public service advertisements under different themes. The results have significant implications for developing a theoretical framework for the efficient dissemination of public service commercials and, consequently, for promoting happier families for developing children by improving parents' parenting knowledge.