Enhancing Communication Research Articles

Student's anxiety level towards mathematics: Basis for intervention program

This study, entitled Students’ Anxiety Level Towards Mathematics: Basis for Intervention Program, investigated Math anxiety among Liceo de Pagsanjan students via pre-interviews with teachers and students, utilizing random sampling of Grade 10 sections. The respondents of the study were composed of sixty-eight (68) Grade 10 students at Liceo de Pagsanjan. A quantitative method with online questionnaires was employed, analyzing data using Pearson r correlation and Chi-Squared correlation analysis to measure the anxiety level of the grade 10 students towards Mathematics. As the responses from the online questionnaires were converted into data, the mean, Pearson r, and chi-squared correlation analysis were used for statistical treatment. Significant links were found between students' experiences and Math anxiety, emphasizing the need for comprehensive support networks. This suggests that students' experiences have an impact on their anxiety levels about the subject. The significant relationship between experiences at home, school, and among peers underscores the need for comprehensive support networks. The "Math Anxiety Termination Program" (MATP) was proposed to address issues. However, Chi-Squared analysis showed no significant correlation between demographic factors and Math anxiety levels. Recommendations include tailored interventions and enhancing communication in a supportive environment. In light of the findings and conclusion, some recommendations, such as building upon the findings of this study and developing their own action plan or intervention program tailored to addressing math anxiety and making programs aimed at enhancing student communication and empathy, can also be adopted, creating a supportive environment where individuals feel heard and valued for their perspectives.

Unlocking the Potential of BIM and VR Integration to Address Construction Challenges in Malaysia’s Building Industry: A Literature Review

Delays in project completion, cost overruns, safety risks, and poor communication among project stakeholders are just some of the leading causes of the many problems plaguing Malaysian construction projects. The construction sector in this country is suffering from these significant problems, which could be remedied with the help of emerging technologies, including Building Information Modelling (BIM) and Virtual Reality (VR). Integrating Virtual Reality (IVR) and Building Information Modelling (BIM) may help avoid and resolve such problems during construction. The features allow for remote collaboration, enhanced communication and connection, enhanced immersion and interactivity, and reduced costs. This literature review exemplifies the challenge that arose on a construction site, as well as the potential of VR technology in general and its integration in assisting the construction industry in Malaysia with BIM. Based on the comprehensive analysis conducted, it is evident that the integration of BIM and VR presents a vast potential to alleviate and resolve the pressing construction-related challenges afflicting Malaysia’s construction industry. The effective integration of these innovative technologies can revolutionise the sector by mitigating cost overruns, reducing project delays, enhancing communication, and improving safety outcomes. Therefore, realising the potential and exploring the possibilities of BIM and VR integration is crucial to overcoming the issues and promoting sustainable growth in Malaysia’s construction sector.

Virtual Air Canvas: A Review

This creative method of utilizing open-source frameworks to create gesture-controlled whiteboard devices is impressive. The device tracks and interprets finger movements collected by a camera to allow users to engage with a virtual whiteboard. The implementation includes effective data processing, hand landmark estimate, and real-time hand detection by utilizing computer vision algorithms. By providing a modern form of communication and going beyond regular typing and writing habits, the system seeks to expand beyond traditional writing methods and create new opportunities for connection. The system contributes to the changing field of human-computer interaction by offering an alternate mode of communication, which improves people's quality of life overall. It also demonstrates the versatility of gesture-controlled systems in terms of enhancing communication accessibility. Key Words: Data Processing, Handmark Estimation, Computer Vision algorithms, MediaPipe, OpenCV.

The Impact of Phonological Variation on Speech Perception and

Purpose: The general aim of the study was to examine the impact of phonological variation on speech perception and production.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings reveal that there exists a contextual and methodological gap relating to phonological variation on speech perception and production. Preliminary empirical review revealed that that phonological variation significantly influences both speech perception and production processes. It highlighted the complex interplay between phonological variation, social factors, cultural context, and cognitive mechanisms. Moreover, the study emphasized the importance of addressing phonological variation in language education, clinical practice, and intercultural communication to promote inclusive communication practices in diverse settings. Overall, the findings contribute to a deeper understanding of language diversity and its implications for communication.
 Unique Contribution to Theory, Practice and Policy: Labov's theory of Variationist Sociolinguistics, Optimality theory and Speech Accommodation theory may be used to anchor future studies on phonological variation on speech perception and production. The study provided valuable recommendations that contributed to theoretical understanding, practical communication outcomes, and language policy decisions. It integrated insights from phonological variation research into linguistic theories, recommended the integration of phonological training into language instruction programs, and emphasized the importance of inclusive language policies. Additionally, the study suggested interventions to improve communication effectiveness, bridge communication gaps, address language disorders, and promote linguistic diversity. By incorporating these recommendations, stakeholders worked towards enhancing communication and fostering linguistic inclusivity across diverse linguistic contexts.

Regulatory Changes and Their Impact on Insurance Market Dynamics

Purpose: The general purpose of the study was to examine regulatory changes and their impact on insurance market dynamics.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings reveal that there exists a contextual and methodological gap relating to regulatory changes and their impact on insurance market dynamics. The study concluded that regulatory interventions significantly influenced insurers' strategic decisions and market behavior. It found that compliance with regulatory frameworks enhanced market stability and consumer confidence, but excessive regulatory complexity could stifle innovation. The study emphasized the importance of balancing regulatory objectives with market efficiency and innovation and highlighted the need for adaptive regulatory frameworks to address emerging risks. Overall, the study underscored the critical role of regulatory changes in shaping insurance market dynamics and advocated for collaborative efforts among regulators, industry participants, and stakeholders to promote a competitive, resilient, and inclusive insurance market ecosystem.
 Unique Contribution to Theory, Practice and Policy: The Institutional theory, Agency theory and Resource Dependence theory may be used to anchor future studies on insurance market dynamic. The study suggested enhancing regulatory transparency and communication to reduce compliance costs and promote market confidence. Additionally, it recommended adopting risk-based and proportionate regulation tailored to insurers' risk profiles and business models. Promoting innovation and market competition through regulatory reforms, along with investing in regulatory capacity and expertise, were also highlighted. These recommendations aimed to foster a dynamic, resilient, and consumer-centric insurance market ecosystem.
 Keywords: Regulatory Changes, Insurance Market Dynamics, Solvency II, Affordable Care Act, GDPR Compliance, Microinsurance Regulations, Risk Management Practices, Market Resilience

Related factors of delirium after transsphenoidal endoscopic pituitary adenoma resection-A matched retrospective cohort study

ObjectivesThe primary aim of this study is to explore the factors associated with delirium incidence in postoperative patients who have undergone endoscopic transsphenoidal approach surgery for pituitary adenoma. MethodsThe study population included patients admitted to Tianjin Huanhu Hospital's Skull Base Endoscopy Center from January to December 2022, selected through a retrospective cohort study design. The presence of perioperative delirium was evaluated using the 4 'A's Test (4AT) scale, and the final diagnosis of delirium was determined by clinicians. Statistical analysis included Propensity Score Matching (PSM), χ2 Test, and Binary Logistic Regression. ResultsA total of 213 patients were included in this study, and the incidence of delirium was found to be 29.58 % (63/213). Among them, 126 patients were selected using PSM (delirium:non-delirium = 1:1), ensuring age, gender, and pathology were matched. According to the results of univariate analysis conducted on multiple variables, The binary logistic regression indicated that a history of alcoholism (OR = 6.89, [1.60–29.68], P = 0.010), preoperative optic nerve compression symptoms (OR = 4.30, [1.46–12.65], P = 0.008), operation time ≥3 h (OR = 5.50, [2.01–15.06], P = 0.001), benzodiazepines for sedation (OR = 3.94, [1.40–11.13], P = 0.010), sleep disorder (OR = 3.86, [1.40–10.66], P = 0.009), and physical restraint (OR = 4.53, [1.64–12.53], P = 0.004) as independent risk factors for postoperative delirium following pituitary adenoma surgery. ConclusionsFor pituitary adenoma patients with a history of alcoholism and presenting symptoms of optic nerve compression, as well as an operation time ≥3 h, enhancing communication between healthcare providers and patients, improving perioperative sleep quality, and reducing physical restraint may help decrease the incidence of postoperative delirium.

Bridging the Distance: Effective Communication and Honesty Among College Students in Romantic Long-Distance Relationships

This study aimed to explore how college students in long-distance romantic relationships maintain honesty and effective communication. Stress is a prevalent aspect for students in such relationships, and this research aimed to provide a deeper understanding of their experiences. Data from 7 participants were collected through structured interviews, analyzed using thematic analysis, revealing key themes of visits, communication, honesty, and conflicts. Visitation depended on mutual convenience, while communication in long-distance relationships had both advantages and disadvantages. Honesty emerged as a trust-building factor, enhancing communication. Future research could delve into the impact of academic stress on long-distance relationships and include a larger sample for a comprehensive study.

Knowledge, protective behaviours, and perception of Lyme disease in an area of emerging risk: results from a cross-sectional survey of adults in Ottawa, Ontario

BackgroundThe number of Lyme disease risk areas in Canada is growing. In regions with emerging tick populations, it is important to emphasize peridomestic risk and the importance of protective behaviours in local public health communication. This study aims to identify characteristics associated with high levels of Lyme disease knowledge and adoption of protective behaviours among residents in the Ottawa, Ontario region.MethodsA geographically stratified web survey was conducted in November 2020 (n = 2018) to determine knowledge, attitudes, and practices regarding Lyme disease among adult residents. Responses were used to calculate: (i) composite scores for knowledge and adoption of protective practices; and (ii) an exposure risk index based on reported activity in woodlands during the spring-to-fall tick exposure risk period.Results60% of respondents had a high knowledge of Lyme disease, yet only 14% indicated they often use five or more measures to protect themselves. Factors strongly associated with a high level of Lyme disease knowledge included being 55 or older (Odds Ratio (OR) = 2.04), living on a property with a yard (OR = 3.22), having a high exposure index (OR = 1.59), and knowing someone previously infected with Lyme disease (OR = 2.05). Strong associations with the adoption of a high number of protective behaviours were observed with membership in a non-Indigenous racialized group (OR = 1.70), living on a property with a yard (OR = 2.37), previous infection with Lyme disease (OR = 2.13), prior tick bite exposure (OR = 1.62), and primarily occupational activity in wooded areas (OR = 2.31).ConclusionsThis study highlights the dynamics between Lyme disease knowledge, patterns of exposure risk awareness, and vigilance of personal protection in a Canadian region with emerging Lyme disease risk. Notably, this study identified gaps between perceived local risk and protective behaviours, presenting opportunities for targeted enhanced communication efforts in areas of Lyme disease emergence.

Analysis of Social Media Usage in Enhancing Communication and Collaboration in Educational Environments

In this rapidly evolving digital era, the use of social media has become an integral part of daily life, including among students, teachers, and parents in educational environments. This study aims to conduct an in-depth analysis of social media usage in efforts to enhance communication and collaboration in educational settings. The method employed in this research is a qualitative literature review utilizing data sourced from Google Scholar spanning from 2020 to 2024. Key search terms included social media, communication and collaboration, and education environment. The data analysis technique used in this research is qualitative data analysis. The qualitative data analysis process involves several steps, such as organising the data, forming themes or patterns, and interpreting the findings from the scientific articles used. The study's findings reveal that in the continuously evolving digital era, social media usage has become a crucial aspect across various domains, including education. The analysis of social media usage in enhancing communication and collaboration in educational environments highlights its significant potential to increase participant engagement, facilitate the exchange of ideas, and broaden the reach of educational information. However, the utilization of social media also necessitates a careful and responsible approach to address associated challenges and risks.

Development of The STAD Cooperative Learning Model : Enhancing Mathematical Reasoning and Communication Skills in Higher Education

This study aims to develop the STAD cooperative learning model specifically designed for mathematics education in a higher institution to impact students' reasoning and communication skills. The study holds significance in its comprehensive analysis, encompassing (1) Plomp Stage 1 Schematic: Preliminary Study; (2) Plomp Stage 2 Schematic: Development Study; and (3) Plomp Stage 3 Schematic: Assessment Study of the developed STAD learning model. The method employed was Research and Development (R&D), utilizing questionnaires, tests, and observations as data collection techniques. The present research involved students at a university in Padangsidimpuan, North Sumatra, Indonesia. The analysis techniques used were inferential statistics and descriptive statistics. The findings indicated that: (1) The preliminary study of the model was conducted based on needs analysis incorporating the curriculum, student, and learning materials; (2) The model’s development study, encompassing six phases, yielded a significant validation result of 3.84, categorized as ‘Good’; (3) The assessment study, in terms of practicality, obtained a score of 4.60 (considered ‘Good’), and effectiveness demonstrated positive significance in affecting students' reasoning and communication skills. The overarching conclusion drawn is that the research and development of the STAD learning model revealed significant positive impacts on students' reasoning and communication skills.

Artificial Intelligence in Marketing Communication: A Comprehensive Exploration of the Integration and Impact of AI

This study investigates the transformative impact of artificial intelligence (AI) on marketing communications through an evaluation research approach. Focused on enhancing personalization, efficiency, and strategic insight, the study explores AI’s applications in content creation, customer service, social media, influencer marketing, and predictive analytics. The results reveal a paradigm transition in customer engagement and behaviour analysis, highlighting AI’s role in providing profound insights and facilitating real-time interactions. Personalized marketing and targeted advertising have evolved, with AI analysing vast datasets to craft tailored messages, significantly enhancing communication relevance. AI’s impact extends to content creation and curation, accelerating processes through natural language generation and improving content personalization. Moreover, AI-driven chatbots redefine customer service, providing 24/7 personalized support and actively contributing to marketing strategies. Social media and influencer marketing benefit from AI’s optimization of content delivery, personalization, and campaign impact measurement. The synergy between AI and predictive analytics anticipates consumer behavior, enabling precise targeting and optimizing the customer journey. The study concludes with implications for businesses, advocating strategic AI integration for sustained growth, and emphasizes the necessity of staying attuned to emerging AI innovations in future research. This research serves as a roadmap, guiding businesses toward successfully navigating the digital era’s evolving marketing communications view.

Introducing machine‐learning‐based data fusion methods for analyzing multimodal data: An application of measuring trustworthiness of microenterprises

AbstractResearch SummaryMultimodal data, comprising interdependent unstructured text, image, and audio data that collectively characterize the same source, with video being a prominent example, offer a wealth of information for strategy researchers. We emphasize the theoretical importance of capturing the interdependencies between different modalities when evaluating multimodal data. To automate the analysis of video data, we introduce advanced deep machine learning and data fusion methods that comprehensively account for all intra‐ and inter‐modality interdependencies. Through an empirical demonstration focused on measuring the trustworthiness of grassroots sellers in live streaming commerce on Tik Tok, we highlight the crucial role of interpersonal interactions in the business success of microenterprises. We provide access to our data and algorithms to facilitate data fusion in strategy research that relies on multimodal data.Managerial SummaryOur study highlights the vital role of both verbal and nonverbal communication in attaining strategic objectives. Through the analysis of multimodal data—incorporating text, images, and audio—we demonstrate the essential nature of interpersonal interactions in bolstering trustworthiness, thus facilitating the success of microenterprises. Leveraging advanced machine learning techniques, such as data fusion for multimodal data and explainable artificial intelligence, we notably enhance predictive accuracy and theoretical interpretability in assessing trustworthiness. By bridging strategic research with cutting‐edge computational techniques, we provide practitioners with actionable strategies for enhancing communication effectiveness and fostering trust‐based relationships. Access our data and code for further exploration.

Enhancing communication within nursing and multiprofessional healthcare teams.

Effective communication within nursing and multiprofessional healthcare teams is essential to promote patient safety. However, communication is a complex concept comprising various elements and variables that affect how messages are delivered, received and interpreted. In this article, the author explores communication within healthcare teams and provides some insight into the factors that affect team communication, such as interpersonal relationships. The author also explores organisational culture and cultural sensitivity, and discusses some evidence-based approaches to enhancing communication within healthcare teams.

The Effect of Group Cooperation on College Students’ Learning Motivation

The author explores the multifaceted benefits of group work in education, focusing on its impact on students' interest, engagement, self-efficacy, creativity, critical thinking, and social skills. Group work is portrayed as a dynamic approach that transforms the learning experience into an interactive and compelling journey. It enhances interest by introducing diverse learning activities and formats, preventing monotony, and actively involving students in discussions, problem-solving, and hands-on projects. The passage emphasizes group work's role in facilitating learning engagement, promoting active participation, social interaction, and critical thinking. Furthermore, it highlights how group work stimulates student creativity through collaboration, diverse perspectives, and activities like brainstorming and problem-solving. The discussion then delves into the positive influence of group work on students' self-efficacy. It shapes self-awareness through peer assessment, fostering a deeper understanding of strengths and weaknesses. Additionally, healthy peer competition within group work is presented as a motivating factor, inspiring students to strive for excellence and view challenges as opportunities for growth. Lastly, the passage explores group work's contribution to critical thinking and social skills. Group discussions are identified as a catalyst for nurturing critical thinking skills, encouraging students to question assumptions, explore alternative perspectives, and analyze information. The social dimension of group work is portrayed as instrumental in enhancing communication, teamwork, and conflict resolution skills, preparing students for success in both academic and professional realms. In summary, group work emerges as a transformative educational tool that goes beyond traditional learning methods, fostering a holistic development of students by igniting interest, promoting engagement, shaping self-efficacy, stimulating creativity, enhancing critical thinking, and cultivating essential social skills.

What are the mechanisms underlying the delivery of survivorship care information in Australia? A realist review.

Quality survivorship information is an essential component of cancer care. However, survivors often report not receiving this information and healthcare professionals report limited practical guidance on how to effectively deliver survivorship information. Therefore, this study used realist review methods to identify mechanisms reported within the published literature for communicating survivorship information and to understand the contextual factors that make these mechanisms effective. Full-text papers published in CINAHL, PubMed, Web of Science, Scopus, Cochrane Library, and Academic Search Ultimate were included. Studies included in this review were conducted in Australia between January 2006 and December 2023, and reported on how information regarding survivorship care was communicated to adult cancer survivors living in the community. This review utilized realist methodologies: text extracts were converted to if-then statements used to generate context-mechanism-outcome theories. Fifty-one studies were included and six theories for mechanisms that underpin the effective delivery of survivorship information were formed. These include: (1) tailoring information based on the survivors' background, (2) enhancing communication among providers, (3) employing dedicated survivorship staff, (4) providing survivorship training, (5) reducing the burden on survivors to navigate their care, and (6) using multiple modalities to provide information. Findings can inform practical guidance for how survivorship care information is best delivered in practice. Clinicians can apply this guidance to improve their individual interactions with cancer survivors, as can policymakers to develop healthcare systems and procedures that support effective communication of cancer survivorship information.

Eloquent Metaphors: Leveraging Linguistic Tools for Leadership in Biden's Inaugural Political Rhetoric

This study examined the intricate use of metaphorical language by President Joe Biden inaugural address, revealing its profound impact on political rhetoric and public perception. Utilizing conceptual metaphor theory as a framework, this study thoroughly identified and analyzed different types of metaphors in Biden's speech: conceptual, structural, and cultural. The analysis revealed how these metaphors transcend mere linguistic ornamentation and serve as fundamental cognitive tools that shape collective understanding and emotional connection. Biden’s speech, which is rich in metaphors, transforms complex political and social challenges into relatable stories and images that, resonate deeply with a wide audience. This study also contextualizes metaphorical use in a broader historical and cultural context, highlighting the dynamic nature of the political discourse. Moreover, it sheds light on the educational importance of understanding metaphors, emphasizing their roles in enhancing communication and rhetorical skills in various fields. This study offers deeper insight into the strategic use of metaphors in political rhetoric and how they play a crucial role in the interplay between language, cognition, and persuasion.

SECURING AND ADVANCING ROAD SAFETY IN INTELLIGENT VEHICULAR NETWORKS FOR SEAMLESS AND SECURE COMMUNICATION

Intelligent vehicular networks leverage communication technologies to enable vehicles to interact with each other and with infrastructure elements, such as roadside units and traffic signals, to enhance road safety and efficiency. However, the open nature of these networks exposes them to various security threats, including data interception, tampering, and unauthorized access. Traditional encryption methods may not suffice to address these challenges, necessitating the adoption of advanced cryptographic techniques like ECC and RSA. Prior research in the field has primarily focused on either enhancing communication protocols or improving security measures independently. However, there is a notable gap in research that comprehensively addresses both aspects simultaneously. This study aims to fill this void by proposing an integrated approach that ensures both seamless communication and robust security in intelligent vehicular networks. The proposed methodology involves the design and implementation of a hybrid cryptographic scheme combining ECC and RSA algorithms. This scheme will be integrated into the existing communication infrastructure of intelligent vehicular networks. The performance of the system will be evaluated through simulations and real-world experiments to assess its effectiveness in securing communication channels while minimizing overhead. The results show the effectiveness of the proposed ECC-RSA hybrid encryption scheme in securing communication channels within intelligent vehicular networks. The integration of ECC and RSA protocols not only enhances the security of data transmission but also ensures seamless communication, thereby advancing road safety in intelligent vehicular environments.

Enhancing Communication Efficiency of Semantic Transmission via Joint Processing Technique

Enhancing Communication Efficiency of Semantic Transmission via Joint Processing Technique

Exploring AI Robots-based Visual Strategy in Training Children with Autism Disorder

Children with autism spectrum disorder (ASD) exhibit deficiencies in the socio-communicative domain and commonly struggle with emotion perception and expression. Robots are becoming increasingly prevalent in our lives, notably in the medical field. Some therapists at therapeutic centers are beginning to experiment with techniques such as computer games, Online exchanges that are available and robot-assisted therapy. Robot-assisted therapy has been widely proven to provide a reliable and effective intervention for enhancing communication and social skills in children having ASD. The humanoid robot may grab the attention of young children and later draw the interest of researchers. This study is accomplished through the use of a revolutionary technique based on deep learning algorithms that comprises essential data and understanding about patients, diagnostic procedures, and medicines. A robot therapist can transmit the results responsibly using this paradigm. Here parameter tunned CNN based model are used and the model is achieved with an accuracy rate of 96% in ASD detection.

Patient Perspective on Informed Consent In Surgery: A Qualitative Investigation

Background: Informed consent is a fundamental ethical principle in healthcare, representing mutual understanding and agreement between healthcare providers and patients, particularly crucial in surgical contexts. However, the patient's perspective on this process remains underexplored, especially in resource-constrained regions like Muzaffarpur and Bihar. Materials and Methods: This qualitative investigation employed a phenomenological research design to explore the experiences of 23 adult patients who underwent surgical procedures in Muzaffarpur. Semi-structured interviews, conducted in Hindi, were used to gather data, which were subsequently analyzed thematically. Results: The study revealed several key themes: (1) Limited Information Disclosure, (2) Short Timeframes for Decision-Making, (3) Varied Communication Styles, (4) Trust in Healthcare Providers, (5) Sociocultural Factors, and (6) Desire for More Information. These findings highlight the need for improved patient-centered communication, transparent information disclosure, trust-building, cultural sensitivity, and time allocation in the informed consent process. Conclusion: The patient's perspective on informed consent in surgical settings in Muzaffarpur, Bihar, underscores the importance of tailoring practices to local contexts. Enhancing communication, trust, and information accessibility can promote patient autonomy and improve the informed consent experience. These insights are vital for advancing ethical healthcare in resource-constrained regions.