Efficient Communication Research Articles

The digitalization of emergency department triage: the perspectives of health professionals and patients.

Digitalization in the healthcare sector offers several organizational advantages, ranging from enhanced service quality to cost savings. However, its adoption often progresses slowly and faces challenges, especially in critical settings like emergency departments, requiring prompt, clear, and efficient communication. As such, this study aims to comprehensively assess the factors influencing the preference for digitalized tools over traditional methods from the perspectives of both service providers and users. We employ two ad hoc stated preference surveys in which we ask respondents to reveal their preference in simulated triage scenarios. Three main alternatives are proposed: traditional procedures, a fully digitalized solution with no direct patient-professional interaction, and a hybrid option that combines traditional and digital aspects. Scenarios and alternatives vary according to predetermined attributes, selected among the features acknowledged to impact the triage efficiency and efficacy: the possibility to communicate in a known language, the completeness of information retrieved from the patient, the time dedicated to triage activity, and the level of privacy. Responses are analyzed by means of discrete choice models. Our findings reveal a preference for the hybrid approach, wherein patients use digital tools to input relevant information, followed by an interview with healthcare professionals. Nevertheless, distinct alternative- and case-specific features can favor the preference toward other kinds of triage. Respondents prefer shorter triage times and the opportunity to interact in a known language, while the level of privacy does not significantly impact their choices. Interestingly, the presence of an algorithm assigning urgency code diminishes the probability that healthcare professionals select the fully digitalized option. This study provides important insight into the utilization of digital tools in emergency departments. The results can be used by hospital managers and policy makers to develop digital tools that meet the needs of both users and healthcare professionals. This, in turn, may result in cost savings and improved quality of service.

A Helium Speech Correction Method Based on Generative Adversarial Networks

The distortion of helium speech caused by helium−oxygen gas mixtures significantly impacts the safety and communication efficiency of saturation divers. Although existing correction methods have shown some effectiveness in improving the intelligibility of helium speech, challenges remain in enhancing clarity and high−pitch correction. To address the issue of degraded speech quality post−correction, a novel helium speech correction method based on generative adversarial networks (GANs) is proposed. Firstly, a new helium speech dataset is introduced, which includes isolated words and continuous speech in both Chinese and English. By training and testing on both isolated words and continuous passages, the correction capability of the model can be accurately evaluated. Secondly, a new evaluation system for helium speech correction is proposed, which partially fills the gap in current helium speech evaluation metrics. This system uses comprehensive similarity to evaluate the similarity of keywords at the sentence level, thus assessing the correction results of helium speech from both word and sentence dimensions. Lastly, a GAN−based helium speech correction method is designed. This method solves the problems of pitch period distortion and formant shift in helium speech by introducing an adaptive speech segmentation algorithm and a fusion loss function and significantly improves the clarity and intelligibility of corrected helium speech. The experimental results show that the corrected helium speech is improved in clarity and intelligibility, which shows its practical value and application potential.

Opinion Leaders in Organizational Change Processes: Insights from a Large-Scale Quantitative Survey to Identify, Characterize, and Classify Influential Employees within a Multinational Corporation

ABSTRACT The successful implementation of change processes requires efficient and effective communication. While previous research has explored various aspects of change communication, the role of opinion leaders – individuals who are more influential than others within their networks – has been largely overlooked. These opinion leaders could play a key role in driving the successful implementation of organizational change. This study aims to investigate the characteristics and potential existence of distinct types of opinion leaders within the context of an organizational change process. We conducted a quantitative online survey (n = 4,114) in a multinational corporation undergoing a significant change initiative. The findings reveal that opinion leadership is influenced by several factors: opinion leaders often hold leadership positions, possess strong personality traits, and maintain cross-hierarchical and cross-functional networks characterized by intense relationships. They also demonstrate high expertise related to the change process and exhibit strong commitment and positive attitudes towards it. Additionally, the study identified 300 opinion leaders and, through cluster analysis, categorized them into four types: ‘The Expert Leader,’ ‘The Emerging Opinion Leader,’ ‘The Cross-Functional Connector,’ and ‘The Department Influencer.’ These types vary in their network sizes, structures, and experiences. MAD statement In a rapidly evolving world, effective change communication is essential for building resilient and forward-thinking organizations. While research has acknowledged the pivotal role of communication in driving change, the significant influence of opinion leaders in this process has received limited attention. These individuals can be key to ensuring that organizational transformations are not only successful but also inclusive and sustainable in their impact. By understanding how to identify and engage opinion leaders in substantial change initiatives, organizations can develop more effective communication strategies that foster innovation, adaptability, and long-term success, ultimately contributing to more equitable, responsible, and successful organizational transformations.

Denominative variation in the terminological representation of Women's Health

Medical language is characterized by its veracity, precision and clarity (Navarro, 2003). However, due to the different communicative situations and contexts in which it is used, it is one of the special languages with more terminological variation (Bowker and Hawkins, 2006). From the point of view of terminology work, in any of its applications: language planning, standardization or translation, the first steps consist of structuring the subject area and accurately define the conceptual field (Cabré, 2005; ISO, 2022; Wright, 1997), and variation is usually an obstacle during this stage. This paper presents the findings of a study for the elaboration of terminological resources on Women’s Health from a corpus of specialized academic articles in English. Preliminary results reveal a lack of uniformity in the identification of the most representative lexical units regarding issues that specifically affect Women’s Health. This analysis offers a typology of denominative variation in the subject field of Women’s Health in academic journals in English prior to initiate the delimitation of the conceptual field in Spanish and standardize terminology equivalence in order to ensure efficient communication.

Research on Public Opinion Guidance Strategies of Political Microblogs in the Context of Emergencies

This study takes "Gansu 12-18 Jishishan Earthquake" as an example to explore the strategies of guiding public opinion on government microblogs in the context of emergencies. Using the life cycle theory of public opinion, the study divides the development process of public opinion into four stages: latency, growth, maturity and decline, and systematically analyzes the performance of government microblogs, such as @Gansu Firefighting, @Gansu Public Security, and @Gansu Publishing, in the development of public opinion on emergencies, as well as their guiding effects in the various stages of public opinion development. The study shows that governmental microblogs perform better in terms of timeliness and authority of information release in emergencies, and are able to rapidly convey official information and stabilize public sentiment. However, there are still deficiencies in the interactive mechanism, public opinion monitoring and early warning, and evaluation and feedback. Based on this, it is proposed to optimize the public opinion monitoring and warning mechanism, enhance public interaction, and improve the feedback and evaluation system, so as to improve the public opinion management ability of government microblogs in emergencies, and to ensure the efficient communication of government information and the effective guidance of public opinion.

An Exploration of Online Abbreviations in Network Media Platforms

With the rapid development of network information technology and the increasing frequency of online communication, abbreviations in network media platforms have emerged as a significant linguistic phenomenon. Network abbreviations serve not only as convenient tools in online communication but also as a microcosm of network culture and language development. This paper aims to explore the origins, types, characteristics, and impacts of abbreviations in network media platforms. Through in-depth research on network abbreviations, this paper reveals the unique roles of network language in terms of communication efficiency and cultural expression, and puts forward reasonable suggestions for standardizing the use of abbreviations on network platforms, providing a new perspective for understanding network language phenomena.

INTEGRATION OF DIGITAL TECHNOLOGIES INTO THE PERSONNEL DEVELOPMENT MANAGEMENT MECHANISM IN HEALTHCARE INSTITUTIONS

This article explores the integration of digital technologies into the personnel management mechanisms of healthcare institutions in Ukraine. In an era marked by rapid digital transformation, the healthcare sector is increasingly recognizing the importance of utilizing modern technological tools to enhance operational efficiency, improve patient care, and streamline administrative processes. The study begins by examining the current state of personnel management in Ukrainian healthcare institutions, identifying key challenges such as workforce shortages, inefficient communication channels, and inadequate training programs. The research further delves into the various digital solutions available, including human resource management systems (HRMS), telemedicine platforms, and data analytics tools. These technologies are evaluated for their potential to optimize recruitment processes, enhance employee performance tracking, and facilitate continuous professional development. The article also highlights case studies from healthcare institutions that have successfully implemented digital technologies, showcasing tangible improvements in staff engagement, patient outcomes, and overall institutional effectiveness. Additionally, the paper discusses the critical role of digital literacy among healthcare professionals, emphasizing the need for targeted training initiatives to ensure that staff can effectively utilize new technologies. It concludes by proposing a strategic framework for integrating digital tools into personnel management practices, advocating for a holistic approach that encompasses technological adoption, staff training, and organizational culture change. Ultimately, the article aims to provide valuable insights and practical recommendations for healthcare leaders seeking to navigate the complexities of digital integration in personnel management. It has been determined that further research can significantly contribute to the development of effective personnel management strategies in healthcare institutions, which will not only enhance the quality of medical services but also promote the sustainable development of the healthcare system in Ukraine.

THE EFFECTIVENESS OF THE TRENGGALEK REGENT'S 2022 INSTRUCTIONS ON CHILD MARRIAGE PREVENTION STRATEGIESIN TRENGGALEK

The high rate of child marriage in Trenggalek poses a significant threat to children's welfare. This study aims to evaluate the effectiveness of the Trenggalek Regent's 2022 Instruction on Strategies for Preventing Child Marriage. The research employs a qualitative approach, collecting primary data through statistical analysis of child marriage rates and interviews with relevant stakeholders. The findings reveal a notable decrease in child marriage rates in 2023 following the implementation of the policy. This suggests that well-designed and sustained policy interventions can effectively address child marriage issues at the local level. The study highlights the importance of ongoing efforts in education, law enforcement, and collaboration among policymakers to safeguard children's welfare. This research contributes to the understanding of effective local strategies in combating child marriage. The study concludes that comprehensive policies, backed by strong stakeholder support, are effective in reducing child marriage rates. Recommendations include strengthening stakeholder collaboration and developing more efficient communication strategies.

The Breakdown: Police-Community Communication and its Impact on Safety and Security in South Africa

The article explores the importance of good police-community communication in South Africa, focusing on the historical context, theoretical models, and factors affecting collaboration and trust. It highlights the role of community policing programs in safety advocacy and the challenges in productive police-community relations. . Methodological approach: review of the body of literature on the relationship between the police and the community in South Africa. Examples of particular police-community collaborations. The study suggests that effective public safety and crime reduction depend on trust and cooperation between police and communities. It suggests strategies to enhance ties, such as increasing openness, accountability, and community involvement. The audience includes academics and students, emphasizing the importance of efficient police- community communication for a secure South Africa, promoting justice and equity. The findings can guide policy choices and strengthen plans for public safety in South Africa. This study explores strategies to improve police-community collaborations in South Africa, focusing on public safety, crime reduction, and trust. It highlights the importance of openness, accountability, and community involvement in fostering these relationships. The study's findings can guide policy decisions and strengthen plans for public safety, promoting social justice and equality. The audience includes policymakers, law enforcement officers, community leaders, academics, and students. A safe and secure South Africa relies on efficient police-community communication.

Application of machine learning algorithms in resource allocation for wireless communications

Abstract. The accelerated advances of wireless communication technologies in recent years has highlighted the necessity of efficient resource allocation in 5G and upcoming 6G networks, particularly in large-scale, high-density network implementations such as the Internet of Things (IoT) and ultra-dense cellular networks. The application of machine learning offers a number of significant advantages over traditional resource allocation algorithms, including enhanced adaptability, robustness, scalability, and predictive power. Therefore, the paper aims to examine the process of selecting the optimal machine learning algorithm for a specific resource management task. To this end, it provides an overview of the fundamental concepts of machine learning, including deep reinforcement learning (DRL), graph neural networks (GNN), and joint learning. Furthermore, this paper examines the potential applications of machine learning in the field of wireless resource management. The research presented in this paper provides a crucial theoretical foundation and guidance for further exploration and application of machine learning capabilities in the domain of wireless communication resource management. Overall, the research elucidates the potential of machine learning in wireless communication resource management and its applications, thereby advancing knowledge in this field and providing valuable references for the development of efficient and intelligent wireless communication networks.

Adherence to Synoptic Cancer Pathology Reporting Among Pathologists in the National Department of Veterans Affairs Health Care System.

Quality communication between clinicians and pathologists is required for optimal cancer care. The College of American Pathologists provides anatomic site-specific cancer protocols that facilitate synoptic reporting for efficient communication, contributing to accuracy and completeness of cancer staging. To evaluate synoptic cancer pathology reporting across the Department of Veterans Affairs (VA), the largest integrated health system in the United States, for 4 common cancers: melanoma and colon, bladder, and kidney cancer. For each cancer type, we investigated at least 200 biopsy and 200 resection reports from 2019 to 2021. In each report, we determined whether a synoptic format was used. The reports were selected using random sampling across all VA health care facilities. We also identified a set of core elements that were underdocumented. Among 1618 pathology reports, 778 (48%; 95% CI, 46%-50%) were synoptic reports. Synoptic reporting was much more common among resections (621 of 811; 77%; 95% CI, 74%-79%) than among biopsies (157 of 807; 19%; 95% CI, 17%-22%). It was most common in colorectal resections (200 of 206; 97%; 95% CI, 94%-99%) and least common in colon biopsy reports (1 of 200; 0.5%; 95% CI, 0%-3%). Core elements that were underdocumented included procedure and regional lymph nodes for resections of bladder and kidney cancer and of melanoma. Synoptic reporting was used about three-quarters of the time for resections and about 1 in 5 times for biopsies. Future work should develop implementation strategies to improve synoptic reporting, especially for biopsy specimens and core elements that were relatively underdocumented.

An efficient certificateless anonymous signcryption communication scheme for vehicular adhoc network

Certificateless public key infrastructure (PKI) avoids the key escrow problem associated with identity-based PKI and has recently been widely employed in anonymous communication schemes for vehicular adhoc networks (VANETs). In existing certificateless anonymous signcryption schemes for VANETs, vulnerabilities such as potential attacks involving the substitution of pseudonyms and the forging of pseudonymous public-private key pairs exist due to the lack of “identity-key binding” and “non-linearity processing of public-private key pairs.” To address this issue, we propose an improved certificateless anonymous signcryption scheme based on elliptic curve cryptography. The scheme incorporates bilinear pairing as one of the authentication mechanisms, designs pseudonym generation algorithms and public-private key pair structures, and introduces a pseudonym verification mechanism. The correctness of the scheme is proven under the random oracle model, and its security is extensively demonstrated through detailed discussions on its confidentiality, authentication, unforgeability, anonymity, and traceability. Furthermore, the time and space complexity of the scheme are calculated. By comparing with recently published certificateless signcryption schemes, it is shown that the proposed scheme offers higher security with smaller computational and communication overheads. This certificateless vehicular network signcryption algorithm provides an efficient encryption solution for anonymous communication in vehicular networks, thereby ensuring the rapid development of secure technology for intelligent connected vehicle super terminals.

Word reuse and combination support efficient communication of emerging concepts

A key function of the lexicon is to express novel concepts as they emerge over time through a process known as lexicalization. The most common lexicalization strategies are the reuse and combination of existing words, but they have typically been studied separately in the areas of word meaning extension and word formation. Here, we offer an information-theoretic account of how both strategies are constrained by a fundamental tradeoff between competing communicative pressures: Word reuse tends to preserve the average length of word forms at the cost of less precision, while word combination tends to produce more informative words at the expense of greater word length. We test our proposal against a large dataset of reuse items and compounds that appeared in English, French, and Finnish over the past century. We find that these historically emerging items achieve higher levels of communicative efficiency than hypothetical ways of constructing the lexicon, and both literal reuse items and compounds tend to be more efficient than their nonliteral counterparts. These results suggest that reuse and combination are both consistent with a unified account of lexicalization grounded in the theory of efficient communication.

During haptic communication, the central nervous system compensates distinctly for delay and noise.

Physically connected humans have been shown to exploit the exchange of haptic forces and tactile information to improve their performance in joint action tasks. As human interactions are increasingly mediated through robots and networks it is important to understand the impact that network features such as lag and noise may have on human behaviour. In this paper, we investigated interaction with a human-like robot controller that provides similar haptic communication behaviour as human-human interaction and examined the influence and compensation mechanisms for delay and noise on haptic communication. The results of our experiments show that participants can perceive a difference between noise and delay, and make use of compensation mechanisms to preserve performance in both cases. However, while noise is compensated for by increasing co-contraction, delay compensation could not be explained by this strategy. Instead, computational modelling suggested that a distinct mechanism is used to compensate for the delay and yield an efficient haptic communication.

Development of Traffic Scheduling Based on TSN in Smart Substation Devices

Smart substations are an important trend in substation construction. With increasing data traffic, it is difficult for the traditional Ethernet network to meet the real-time requirements of control information in smart substations. Hence, in this paper, a deterministic network architecture for substations based on time-sensitive networks (TSN) has been developed in order to realize the domain-wide time synchronization and efficient real-time communication of the “three-layer and two-network” model in smart substations. Furthermore, a design scheme for substation automation equipment based on TSN is proposed. The proposed device realizes the timely transmission of real-time control information packets by utilizing the Earliest TxTime First (ETF) Qdisc technology of Linux and the timing sending capability of Intel 210 NIC. Furthermore, it collaborates with the time-aware shaper (TAS) traffic scheduling mechanism of TSN switches to ensure the end-to-end deterministic delay of time-sensitive traffic. As a result, it provides efficient real-time communication services with low latency and jitter for smart substation automation systems.

A Review on Intelligent Reflecting Surfaces: Challenges and Opportunities Towards Secured Communications

ABSTRACTThis review examines the advanced development and implementation of intelligent reflecting surfaces (IRSs) in smart radio environments (SREs) to enhance secure communications. IRS technology, including intelligent walls and software‐controlled metasurfaces, is designed to manipulate electromagnetic waves, thereby significantly improving wireless communication. The study highlights the importance of dynamic, nearly passive IRS, which combine multiple elements to create surfaces capable of diverse wave manipulations. Cutting‐edge techniques such as nonorthogonal multiple access (NOMA) and machine learning are employed to optimize IRS functions, enhancing secrecy rates and resilience against eavesdropping. Despite their ease of reconfiguration and affordability, IRSs are vulnerable to several security threats, a concern that has not been extensively explored in current research. This review aims to fill this gap by offering a comprehensive analysis of the security challenges associated with IRS‐enabled wireless networks. The effectiveness of IRS is compared to traditional wireless relays, with special attention to the simultaneous transmitting and reflecting intelligent reflecting surface (STAR‐IRS) model that provides 360° coverage. Key findings suggest that IRS can greatly enhance secure communications, improving wireless network performance, reliability, and adaptability. This paper underscores the pivotal role of IRS technology in the future of wireless networks, presenting new opportunities for secure and efficient communication systems.

Artificial intelligence for internal communication: Strategies, challenges, and implications

This qualitative study explores the intersection of artificial intelligence (AI) and internal communication, investigating AI applications, challenges, and best practices. In-depth interviews with 20 senior communication professionals examined perceptions of AI’s impact on internal communication processes and outcomes. Key findings indicate AI improves internal communication efficiency, information flow, listening capability, and employee experience. However, challenges include lack of AI knowledge among employees, fears about job security andbias, and concerns about authenticity loss. To enable effective AI adoption for internal communication, organizations need education and training, a “co-piloting” approach between humans and machines, transparent communication, ethical governance, and an open culture of experimentation. This research makes important theoretical contributions by illuminating AI’s transformative potential for internal communication. It also offers practical insights to guide organizations in strategically leveraging AI to elevate internal communication.

DC-SoC: Optimizing a Blockchain Data Dissemination Model Based on Density Clustering and Social Mechanisms

Due to its partially decentralized and highly scalable features, the consortium blockchain has currently overtaken other blockchain technologies as the one most frequently used and studied across various industries. However, performance issues such as low transaction efficiency and redundant communication processes continue to hinder the development of consortium blockchains. In the Hyperledger Fabric consortium blockchain system, transaction efficiency is largely influenced by the consensus protocol and broadcast protocol. This paper introduces a novel consortium blockchain network model, DC-SoC, focused on optimizing broadcast protocols. By incorporating the concept of density clustering, a stable propagation structure is established for the blockchain network, thus optimizing data dissemination in the Gossip protocol. Additionally, the concept of social networks is integrated, using trustworthiness scores and economic incentives to evaluate node security. The experimental results demonstrate that when DC-SoC is applied in a large-scale consortium blockchain environment, it significantly improves communication performance between nodes and ensures transmission reliability.

A Delphi-based exploration of factors impacting blood loss and operative time in robotic prostatectomy.

This study aims to investigate factors influencing the implementation of robotic-assisted radical surgery, with a specific focus on their effects on blood loss and operative time. Radical prostatectomy was chosen as the case study due to its complexity and diverse surgical activities. The study employed a three-round Delphi approach involving 25 surgeons from three countries: UK, Australia, and China. The collected data were analysed using non-parametric tests. The Delphi study showed significant correlations between the degree of difficulty and blood loss (Z = 2.698, ρ < 0.007), as well as between team coordination and blood loss (Z = 3.499, ρ < 0.0001). However, no significant relationship was found between operative time and blood loss. Surgeons reported that neurovascular bundle (NVB) release and pelvic lymph node dissection require high team coordination. NVB release is particularly challenging and poses a higher risk of blood loss. Additionally, a large prostate increases the difficulty of prostate dissection, prolongs operative time for bladder neck and NVB dissection, and leads to a considerable overall increase in operative time. The manuscript shows that effective team coordination plays a crucial role in reducing blood loss and operative time during surgical activities. When the team coordinates well, clear and efficient verbal communication suffices, reducing the need for physical proximity during robotic-assisted surgeries.

THE ROLE AND SIGNIFICANCE OF SPEECH CULTURE IN THE ACTIVITY OF FUTURE EDUCATORS

This article describes methods of improving speech culture and rhetoric of future pedagogues.Тhe article considers the importance of rhetoric as the art of using a living word for effective and efficient communication. The laws of rhetoric under consideration make it possible to determine the path of students to rhetorical success. The peculiarities of teaching undergraduates rhetoric at a higher educational institution is their comprehension of the art of the word, regardless of the direction of training and the construction of the educational process, taking into account these circumstances, in accordance with the methodological and didactic principles of teaching in preschool education.