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Exploring Communication Authenticity Anxiety: A Data-DrivenPsychological Analysis of Al-Generated Content on StudentSelf-Perception and Expression
Generative artificial intelligence (AI) tools such as ChatGPT and Gemini are becoming more common in student communication, owing to the improvement that they offer in fluency and efficiency, but at the same time raise concerns about authenticity. Students struggle to put their authentic voice forward in the quest to enhance their work using these writing assistants. Many surveys have been conducted, which indicate widespread use of AI tools for education-related chores, yet these studies ignore the emotional effects related to this. The psychological discomfort related to authenticity in text-based communication is still not well examined and to address this gap, this study introduces a term called Communication Authenticity Anxiety and successfully examines its relationship with self-perception, academic stress, resilience, and AI dependence. Data were collected via a structured student survey and analyzed using exploratory factor analysis, regression modeling and machine learning techniques. Results show that self-perception and academic stress are the strongest predictors of authenticity anxiety, while resilience and AI dependence have weaker effects. These findings were further validated by Machine Learning models, with Random Forest achieving 75% accuracy and XGBoost achieving {9 2%}. This study, thus, successfully contributes to understanding the various psychological consequences of AI-generated content on student identity and expression, thereby providing valuable insights for crafting responsible educational policies. 2025 IEEE. -
Exploring Communication Authenticity Anxiety: A Data-DrivenPsychological Analysis of Al-Generated Content on StudentSelf-Perception and Expression
Generative artificial intelligence (AI) tools such as ChatGPT and Gemini are becoming more common in student communication, owing to the improvement that they offer in fluency and efficiency, but at the same time raise concerns about authenticity. Students struggle to put their authentic voice forward in the quest to enhance their work using these writing assistants. Many surveys have been conducted, which indicate widespread use of AI tools for education-related chores, yet these studies ignore the emotional effects related to this. The psychological discomfort related to authenticity in text-based communication is still not well examined and to address this gap, this study introduces a term called Communication Authenticity Anxiety and successfully examines its relationship with self-perception, academic stress, resilience, and AI dependence. Data were collected via a structured student survey and analyzed using exploratory factor analysis, regression modeling and machine learning techniques. Results show that self-perception and academic stress are the strongest predictors of authenticity anxiety, while resilience and AI dependence have weaker effects. These findings were further validated by Machine Learning models, with Random Forest achieving 75% accuracy and XGBoost achieving {9 2%}. This study, thus, successfully contributes to understanding the various psychological consequences of AI-generated content on student identity and expression, thereby providing valuable insights for crafting responsible educational policies. 2025 IEEE. -
Clinical Pattern Mining for Early Detection of Chronic Kidney Disease: A Data-Driven Diagnostic Framework
Early diagnosis of the Chronic Kidney Disease (CKD) is essential to avoid irreversible damage of the kidneys, but it is clear that the traditional threshold-based techniques of the diagnosis are not always able to detect a subtle pattern of biochemical changes, which indicate the early appearance of the disease. This paper provides an interpretable and data-intensive diagnostic model which incorporates clinical state transformation, frequent and contrast pattern mining, and phenotype-based clustering to reveal hidden signs of CKD progression. Continuous laboratory variables are discretized into clinically meaningful states, enabling transparent rule extraction and comparative analysis between CKD and non-CKD cohorts. The mined contrast patterns reveal distinctive early-stage abnormalities, including mild creatinine elevation, reduced urine specific gravity, albuminuria, and increased urea levels, which consistently differentiate diseased patients from healthy controls. Furthermore, K-means clustering identifies three clinically relevant renal phenotypes corresponding to early, moderate, and advanced biochemical deterioration. Sensitivity and comparative analyses demonstrate the robustness of the extracted patterns across varying support thresholds and against standard machine learning classifiers. The proposed framework offers a clinically interpretable and computationally efficient decision-support tool for early CKD detection and patient stratification using routinely collected clinical data. 2026 IEEE. -
Environmental integration in supply chains: Collaborative strategies for energy efficiency and waste reduction
The chapter looks at why producers, transporters and distributors work with both government and nonprofit institutions to fix environmental problems in their operations. Stakeholders who work together achieve energy savings through resource efficiency and maintain water resources in a sustainable manner. This chapter examines practical strategies like renewable energy adoption and energy efficiency upgrades plus reverse supply chains and circular systems. It shows how several groups must work together to manage their environmental efforts to reach common targets. A combination of joint target setting, open discussion sharing and Collaborative Planning Forecasting Replenishment (CPFR) is spotlighted. Governments and NGOs work together to create supportive laws plus offer money benefits with help businesses to join forces. This section shows how small and medium- sized enterprises can solve financial hurdles through collective investments and green financing. Through real- world examples and practical methods, the chapter creates a way to combine sustainability with supply chains 2025, IGI Global Scientific Publishing. All rights reserved. -
CBDCs in a High-Evasion Economy: Seigniorage, Tax Collection, and Institutional Tensions
This chapter investigates the welfare implications of introducing Central Bank Digital Currency (CBDC) in an economy with tax evasion and varying degrees of central bank independence (CBI). The model considers scenarios with and without central bank independence, where the fiscal authority finances its expenditure through sales tax and/or seigniorage revenue from the central bank. The model analyses the equilibrium conditions for the coexistence of cash and CBDC, and it depends on the degree of CBI. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Navigating the Future of Intelligent and Smart Manufacturing A Comprehensive Bibliometric Analysis (2012-2024)
Intelligent and smart manufacturing is at the forefront of a digital revolution in the manufacturing industry. This chapter reveals how key technologies have developed and converged during the period 2012-2024 by analysing 1046 articles from the Web of Science database. Literature was compiled into ten distinct clusters: Convolutional Neural Networks (CNN), Technologies, Internet of Things (IoT), Services (Applications), Gateway, Industry 4.0, Heuristic, Cutting Force, Remote Maintenance, and Fabrication. Each cluster is measured by its degree, modularity, density, citation analysis metrics and help in predicting the impact and about their interrelations in research within these domains. Further, the major focus is on Industry 4.0 principles and the evolving research landscape that promptly helps in findings and the rapid adoption of advanced computational methods. With this analysis, the most influential authors, articles, and journals will provide insight for building collaborative networks and intelligent manufacturings intellectual structure. This study nonetheless delivers an overview of previously published research; in addition, it also illustrates trends and openings that provide a significant underpinning to support subsequent academic endeavours and their application in practice. 2025 selection and editorial matter, Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat individual chapters, the contributors. -
Modeling the impact of political risk components on major macroeconomic variables
The risks of the political conditions prevailing in an economy are found to have a significant impact on its stock market. Such political risks can distort the entire economy. This study investigated the impact of political risk on major macroeconomic variables which are the indicators of growth in any economy by considering the various components of political risk as given by World Bank's worldwide governance indicators. Using a panel data approach, it modeled the major macroeconomic variables of eleven emerging and frontier Asian economies with various components of political risk. The study found that irrespective of the inter-linkages among different macroeconomic variables, they were not affected by the same political risk components. Most importantly, it revealed that GDP did not respond to any of the political risk components, whereas the exchange rate was found to be affected by all the political risk components. The study also found that FDI, inflation, and real interest rate were affected by one or more political risk components. 2019 AESS Publications. All Rights Reserved. -
A Qualitative Exploration of the role of intersectionality in health disparities faced by Indian transgender persons
Transgender persons in India represent a minority and are subjected to varying levels of disparities, including those in health. These disparities for a transgender person are multi-axial and have a complex origin and manifestation that can only be assessed and explored through an intersectional lens where efforts are made to understand the collision of multiple and different identities and the role these identities play in a transgender person's life. This study aimed to explore the role of intersectionality in the health disparities as experienced by Indian transgender persons. Twelve transgender persons from rural, semi-rural, and urban residences were interviewed. The data was analysed through interpretative phenomenological inquiry. Following the same, five sub themes were emerged. 'Social and health disparities among Indian transgender persons' emerged as a group experiential theme in the analysis. The sub- themes were religion, place of residence, age, socio-economic status, and colour, which play a role in disparities of their physical as well as mental health treatment, henceforth resulting in the development of 'pervasive transphobia' in the Indian healthcare system as per the experiences lived by the participants. Following the findings of this study, we may assert that Indian transgender people perceive that they are disproportionately affected by health disparities. Henceforth, there is an urgency to unfold such disparities in health through the lens of intersectionality. 2024 Sapienza Universita Editrice. All rights reserved. -
Creating a sustainable future: insights into brand marketing in the luxury fashion industry
This paper aims to develop a conceptual framework that elucidates the factors that impact sustainable luxury brand marketing, specifically focusing on the luxury fashion industry. The framework aims to highlight the role played by the industry in promoting economic, social, and environmental sustainability. By examining these factors, the study seeks to contribute to a better understanding of how luxury fashion brands can effectively incorporate sustainability into their marketing strategies, thereby fostering a more sustainable and responsible approach to luxury consumption. Applying the theoretical framework derived from the literature review and systematic mapping approach, we examine its relevance in the luxury fashion market. This exploration allows us to assess its practical applicability and gather empirical evidence regarding sustainable brand marketing in this context. This research will give an in-depth analysis of the major elements influencing the consumption of sustainable luxury goods. The findings expand our understanding of the sustainable practices adopted by luxury fashion brands, providing valuable insights for academia and the industry. This studys implications are profound: luxury brand managers can enhance brand value through insights on sustainable fashion consumption drivers, while sustainable brands gain strategies for audience engagement and loyalty. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Professional quality of life of nurses with 6-8 years of work experience
The current research investigation was undertaken to understand the relationship of professional quality of life of nurses with self-efficacy, empathy and aggression. Professional quality of life is the quality one feels in relation to their work as a helper (Stamm 2010). It includes the positive component of compassion satisfaction and two negative components of burnout and secondary traumatic stress. Nursing professionals with 6-8 years of work experience and employed in Punjab, India were taken for the purpose of the study. Fantasy seeking was found to be a positive predictor of compassion satisfaction explaining 4% of variance. Self-efficacy and empathic concern were found to be negative predictors while verbal aggression was found to be a positive predictor of burnout. Together the three predictors accounted for 17% of variance in burnout. Personal distress was a positive predictor of secondary traumatic stress explaining 8% of variance. Implications are discussed with in light of professional quality of life of nurses who hold a considerable amount of work experience in the nursing profession. 2021 Ecological Society of India. All rights reserved. -
Transparency in governance: A comparative study of right-to-information legislation in India, Indonesia and Nigeria
This article discusses how the Right to Information Act in India, Nigeria and Indonesia can have an influence on ensuring transparency and accountability in the government system. The acts pertaining to the right to information in these three countries were implemented after long proceedings and deep struggles. The article looks at the legislation on the right to information in these three countries, the factors that motivated each of them to adopt the legislation, the implementation of the Right to Information Act, the challenges faced during the passage of the Act, the scope of coverage of the provisions of the Acts of all three countries, exceptions to the information disclosed to the public and problems faced during implementation from the government's side and the user's side. The article concludes with a summary of the arguments and key policy recommendations. The Author(s) 2022. -
Enhanced Battery Life with Supercapacitor Applied to Renewable Energy Based Electric Vehicles
The main goal of this work is of developing a control approach, which is able to obtain the smooth switching between energy sources, battery, and Supercapacitor (SCAP). With four separate math functions, a new math function-based (MFB) controller is designed, and this MFB will generate four output signals corresponding to the motor's speed. Further, the MFB is combined with an FLC/PI controller to reach the theme of the work. Two-hybrid different controllers are intended as per the proposed control strategy termed as MFB with FLC and MFB with PI and both are implemented individually in MATLAB/Simulink in four different modes. The entire model is implemented including a solar panel to charge the battery, this solar panel (SP) is connected to the battery and UDC through various control switches. Finally, a comparative analysis is made between two hybrid controllers to know the better-performed controller. 2023 Ecole Polytechnique de Montreal. All rights reserved. -
SCREEN TIME BEYOND GAMING AND SOCIAL MEDIA: EXCESSIVE AND PROBLEMATIC USE OF OVER THE TOP (OTT) PLATFORMS AMONG COLLEGE STUDENTS DURING COVID-19 PANDEMIC
There is a gap in existing literature regarding Over the Top (OTT) platform use contributing to the excessive and problematic screen time. We aimed to assess OTT platform use among college students and its associations with increased screen time, mental well-being, COVID-19 related anxiety and personality traits. A total of 1039 students from a college in India were invited to participate in this web-based survey. A majority of participants used OTT platforms regularly. Subscription to paid OTT platforms, poor mental well-being were associated with problematic OTT use; whereas personality trait of conscientiousness seemed to offer protection against problematic OTT use. 2021 Medicinska Naklada Zagreb. All rights reserved. -
Analysis of machining parameters for face milling of inconel 718 using response surface methodology
The machining of Inconel 718 which is a nickel based super alloy has become a material of great importance mainly in the aerospace industry. Reason being the materials possesses properties of increase in strength at elevated temperature, high resilience to chemical reaction and high wear resistance. Gaining optimum machining parameters have become a great concern in the manufacturing industry, where economy of machining plays a very important key role in the market. This paper gives an overview of the experimentation conducted on the basis of Response Surface Methodology (RSM). Regression equations have been developed for surface roughness, by taking into consideration the machining parameters like cutting speed, feed rate and depth of cut for face milling operation performed in CNC machine. RSM analysis was carried out with the help of Mini Tab 18 software. The Mathematical equation developed after regression analysis shows to be very efficient. BEIESP. -
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Strategy formulation and implementation in the zimbabwean food manufacturing sector
This study focused on examining the influence of strategy formulation and implementation on the performance and competitive advantage of the foodmanufacturing companies in Zimbabwe. The study was prompted by the fact that newlinestrategy is essential in every organisation and that competing in the market is like newlinewar, you have injuries and casualties and the best strategy wins . More so, even though the food-manufacturing companies are essential to the Zimbabwean economy, there has been limited research on the area of strategy formulation and implementation. The study applied both quantitative and qualitative approaches because looking at the same problem from several viewpoints is an excellent way to verify data and come up with interpretation and conclusions. It is in view of this fact that the researcher used the triangulation approach, which is a combination of both philosophies, qualitative and quantitative data. The research was a survey because it allowed the research to collect data from a sizeable number of participants in 10 foodmanufacturing companies in Zimbabwe. The researcher used personal judgement in selecting the companies to be part of the study. The data was collected from directors and managerial employees, who are largely involved in the process of strategy formulation and implementation. The researcher used the questionnaires and the indepth interviews as research instruments. SPSS was the quantitative data analysis and qualitative data analysis was using thematic analysis. The study found out that foodmanufacturing companies in Zimbabwe were facing performance related challenges and there were mixed responses on the extent to which they were failing to meet financial, customer, internal business process improvement, and learning and growth targets. The food-manufacturing companies implemented marketing, human resource, financial and operations strategies but were not successful in their endeavours. -
Strategy Formulation and Implementation in Zimbabwe's Food Manufacturing Industry
International Journal of Science and Research, Vol-3 (5), pp. 849-855. ISSN-2319-7064 -
Determinants of online consumer buying behaviour: an empirical study on apparel retail
The purpose of this paper is to study the customer attitude towards apparel segment available online. A questionnaire is framed on the basis of extensive literature review and through which 654 valid responses were received from the online survey. The objective of the study has been fulfilled with the help of internal consistency reliability analysis, validity analysis (Cronbachs alpha and CFA) of the factors identified. Based on the data collected through the primary survey, it has been identified that overall convenience, price attribute, website quality, product brand image and perceived risk are the major determinants of customer online purchase intention. The study has many implications for online retailers, strategists, internet marketers and online shoppers in India. The majority of the shoppers in India seek offers and discounts instead of brand or high quality. The study reveals that online retailers may target the appropriate socio-economic background for the success. Copyright 2025 Inderscience Enterprises Ltd. -
Impact of social media conversations on consumers online purchase intention
The objective of this paper is to explain how social media has impacted the consumer decision process as heavy use of social media has created a new landscape which lays out a new avenue for personal connections. The paper also explores how individuals are seeking information on social media and how they are processing and selecting the information before making the final purchase. The empirical data for the study has been gathered using a structured questionnaire. The descriptive statistics were performed for the select parameters of the survey instrument. The findings confirm that there is significant variance between age, income, occupation, and gender with online purchase intention of consumers. Also, the results confirm that social conversation is a significant predictor of online purchase intentions. The research findings suggest that consumers in India are actively utilising social media platforms as a key tool in validating their purchase decision. The research also explains various indicators that can be utilised by potential companies to analyse the decision-making process via social media sites. Copyright 2022 Inderscience Enterprises Ltd.