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                <text>Pachauri, Deepanshu; Chandra, Saurabh; Shastri, Arunima; Behera, Prangya Parimita; Singh, Bhupinder</text>
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                <text>Human Consumption of Digital Synthetic Outputs: Cross Checking Real or Fake Information</text>
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                <text>Digital Synthetic Data and Outputs;pp.337-354</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3373-2277-3.ch013" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3373-2277-3.ch013&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105024741163?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105024741163?origin=resultslist&lt;/a&gt;</text>
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                <text>Pachauri D., Sharda University, India; Chandra S., Bennett University, Greater Noida, India; Shastri A., Christ University, Bangalore, India; Behera P.P., Bhubaneswar, India; Singh B., Sharda University, India</text>
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                <text>AI-Generated content, deepfakes and synthetic media, people are increasingly wondering how they can discern the difference between genuine and fake. People may become confused, change their minds, and make unwise decisions that put their safety at danger when they see false information and manipulated pictures and videos, such AI-generated deepfakes. AI detection techniques, and teaching people how to read and write have all helped with these difficulties. Blockchain technology analyzes the digital history of anything to make sure it is authentic. Two significant steps toward making things more open are regulatory frameworks and ethical AI practices. Users should be vigilant and examine a lot of trustworthy sources, including reverse image search or deepfake detectors. The influence of incorrect information will be lessened if individuals are more informed and encouraged to utilize internet resources properly. To use another metaphor, let's make sure that people know what they're talking about when we speak about synthetic things.  2026, IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Baby, Annmary; Thomas, Rithin Paul; Ramadani, Lauresha; Rajesh Kanna, R.</text>
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                <text>Human factors and social engineering in IoT attacks</text>
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                <text>IoT Security: Fundamentals and Key Enabling Technologies;pp.93-104</text>
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                <text>Baby A., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India; Thomas R.P., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India; Ramadani L., Computer Science Faculty, AAB College Prishtina, Kosovo, Prishtina; Rajesh Kanna R., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India</text>
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                <text>This chapter explores how social engineering and human factors contribute to IoT assaults, emphasizing how human mistake and psychological manipulation weaken linked systems. Cybercriminals are increasingly using social engineering techniques to trick people into disclosing private information or jeopardizing security measures as IoT devices become more and more integrated into everyday life and vital infrastructure. This study examines important strategies like baiting, pretexting, and phishing, highlighting their unique uses in Internet of Things settings. It also looks into how human behavior affects security procedures, showing how dangers are increased by insufficient awareness and training. The chapter offers important insights into how human factors and IoT security interact by examining current case studies and actual attack scenarios. It ends with tactical suggestions for enhancing security awareness, fortifying authentication procedures, and putting in place efficient defenses against social engineering risks in IoT ecosystems. Future research should focus on developing AI-driven security measures, flexible defense strategies, and strong policy frameworks to strengthen IoT security. Tackling these human-related vulnerabilities is essential to building a safer and more reliable IoT ecosystem.  2026 Elsevier Inc. All rights reserved..</text>
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                <text>AI integration; Human factors; IoT security; Social engineering; Threat detection; User education</text>
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                <text>ISBN: 978-044334125-0; 978-044334126-7;</text>
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                <text>Noel, Joe Karunya; Mahadevan, Madhumitha; Umesh, Mridul; Suresh, Sreehari</text>
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                <text>Human gut microbiota and regulation of human behavior</text>
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                <text>Advancing Science and Innovation in Healthcare Research: Health Horizons;pp.295-316</text>
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                <text>&lt;a href="https://doi.org/10.1016/B978-0-443-33351-4.00020-9" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/B978-0-443-33351-4.00020-9&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105019729127?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105019729127?origin=resultslist&lt;/a&gt;</text>
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                <text>Noel J.K., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Mahadevan M., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Umesh M., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Suresh S., Center for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Tamil Nadu, Chennai, India</text>
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                <text>The human body is often referred to as a microbiome, embodying a multitude of microbes. Specifically, the gut microbiome constitutes a cluster of bacteria within the gastrointestinal (GI) system. In both healthy individuals and those facing health issues, these bacteria significantly impact human physiology. They form an integral part of the unconscious system that exerts influence over human behavior. Globally, researchers are actively investigating the components of a good gut microbiome to enhance our comprehension of the role gut microorganisms play in health and disease. The gut harbors a diverse array of bacteria, encompassing both hazardous and beneficial types. Furthermore, studies on specific health-improving parasitic species are yielding biological insights that may propel the development of novel drugs. The gut microbiome directly impacts an individual's health by secreting physiologically active compounds like vitamins, essential amino acids, and lipids. Moreover, it indirectly influences the immune system and metabolic functions, thereby affecting moods and cognitive functions. Recognition of the role played by gut microbiota extends to various diseases and disorders. Evidence demonstrates significant interactions between the microbiome and certain drugs, profoundly shaping their intended effects. The interplay between the immune system, gut microbiota, and psychiatric disorders such as eating disorders, as well as conditions like cancer, autoimmune diseases, and autism spectrum disorder, is increasingly evident through ongoing research. This is unsurprising given the pivotal roles played by daily caloric intake, eating habits, and food composition in regulating various biological systems. Recent research sheds light on the intricate gut-brain axis (GBA), a two-way communication system where the gut receives signals from the brain, and vice versa. Microbes in the GI tract produce neurotransmitters that influence crucial functions like learning, memory, attention, and emotions. Even a slight change in the gut microbiome can lead to inflammatory reactions, connecting to the hypothalamic-pituitary-adrenal (HPA) axis and influencing human behavior. Under stressed conditions, changes in the gut microbiome can harm helpful bacteria, reduce the variety of bacteria in our gut, and allow harmful bacteria to grow. This makes us more likely to get sick and causes inflammation in our gut. Some studies even suggest that chemicals produced by the gut during an infection can affect our brain, making us more prone to feeling anxious or depressed. Knowing that our gut microbiome influences our behavior, it's essential to pay attention to what we eat, avoid drugs that harm our gut bacteria, and consider taking probiotic supplements in our diet.  2025 Elsevier Inc. All rights reserved.</text>
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                <text>Bacteria; Behavior; Gut microbiota; Hormones; Regulation</text>
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                <text>Human heart disease prediction system using data mining techniques</text>
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          <element elementId="49">
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                <text>classification Techniques; Decision Tree Algorithm; heart disease; KNN; Nae Bayes; Neural Network; Risk level</text>
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                <text>Nowadays, health disease are increasing day by day due to life style, hereditary. Especially, heart disease has become more common these days, i.e. life of people is at risk. Each individual has different values for Blood pressure, cholesterol and pulse rate. But according to medically proven results the normal values of Blood pressure is 120/90, cholesterol is and pulse rate is 72. This paper gives the survey about different classification techniques used for predicting the risk level of each person based on age, gender, Blood pressure, cholesterol, pulse rate. The patient risk level is classified using datamining classification techniques such as Nae Bayes, KNN, Decision Tree Algorithm, Neural Network. etc., Accuracy of the risk level is high when using more number of attributes.  2016 IEEE.</text>
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                <text>Thomas J.; Princy R.T.</text>
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                <text>Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Dev N., Department of Social Science and Humanities, University of Wolverhampton, Wolverhampton, United Kingdom; Joy S., Department of Functional and Applied English, St. Josephs College, Kerala, Devagiri, India, Department of English and Cultural Studies, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Advances in generative artificial intelligence (AI) are reshaping cultural production, yet questions remain about whether machine-authored texts can authentically represent marginalized lives. This study examines the capacity of OpenAIs GPT-4o to represent the lived experiences of transfeminine individuals using a three-phase Hybrid Poetics Framework (HPF). Ten transfeminine participants were recruited through purposive maximum variation sampling. Semi-structured interviews and a participatory focus group (FGD-1) informed the creation of both human-generated poems (HGPs) and AI-generated poems (GPT-4o poems). In the reception phase, participants completed an authorship discrimination task and poetic quality ratings, followed by a structured poetry-reflection focus group (FGD-2). Results show that participants identified authorship above chance and rated HGPs higher for Emotional Quality, Atmosphere, and Structural Quality, while AI poems were praised for polish but perceived as emotionally distant. By contrast, creativity showed overlap across conditions.Findings foreground authenticity, affective fidelity, and ethical risks in AI-mediated representation. We propose bounded legibility and community co-governance as safeguards and introduce the Hybrid Poetics Framework (HPF) as a methodological approach for operationalizing participatory evaluation in Human Computer Interaction (HCI).  2026 The Author(s). Published with license by Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>Human-AI collaborative intelligence: Ethical and legal considerations</text>
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                <text>Humans and Generative AI Tools for Collaborative Intelligence;pp.403-422</text>
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                <text>Joseph J., Christ University, India; Pandey A., Christ University, India</text>
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                <text>The present globe benefits from the unprecedented growth of science and technology. The invention of Artificial Intelligence (AI) has opened a vast horizon of possibilities, choices, and capabilities for humans and society. AI-powered human-like systems provide substantial interaction and collaboration for better results in many fields. The speed, efficiency, and effectiveness of AI systems prompted almost all sectors, like healthcare, education, transport, and communication to invest in them. This resulted in shifting attention from human-human collective intelligence to human-AI collaborative intelligence. This shift has significantly contributed to many fields and reduces the security risks to humans. However, there are also many ethical and legal concerns in this innovative area, like data privacy, transparency issues, liability, and accountability. This chapter, using analytical and critical methods, examines the functioning of collaborative intelligence and suggests the required ethical and legal principles for incorporation into national and international policy design.  2025, IGI Global Scientific Publishing.</text>
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                <text>Sarvani Ravi, Shilpa; Bhagat, Shikha; Paramasivam, Senthilmurugan; Yohannan, Safney S.</text>
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                <text>Reinventing Higher Education through Digital Transformation and Smart Campuses;pp.259-289</text>
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                <text>Sarvani Ravi S., Christ University, India; Bhagat S., Christ University, India; Paramasivam S., Christ University, India; Yohannan S.S., Christ University, India</text>
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                <text>Artificial intelligence has become the need of the hour with balancing technological advancement and the timeless values of critical thinking, creativity, and ethical learning. Educators and students looking for writing assistance, quick access to information, communicating with others, or developing their language skills will consider CharGPT to be the most useful tool. This chapter focuses on user per-spectives, attitudes and concerns towards CharGPT to essentially guide the ethical development. These trends reveal that ChatGPT has rapidly transitioned from a novel tool to a mainstream academic companion, making it imperative to investigate not just its technological potential but its human-centered implications for general education. This study was conducted through a mixed approach with a systematic analysis of Scopus published research. The authors also extracted Scopus published data and analyzed it using NVivo and VOS viewer software. The sentiment analysis proved that the maximum number of studies affirmed positivity emphasizing the wider acceptance of Chat GPT.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Studies in Computational Intelligence;Volume;1226;pp.257-276</text>
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                <text>Saini A., CHRIST (Deemed to be University), NCR, Delhi, India; Kulshrestha N., CHRIST (Deemed to be University), NCR, Delhi, India; Yadav S., Faculty of Finance, Jaipuria Institute of Management, Lucknow, India</text>
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                <text>In the rapidly evolving landscape of twentyfirst-century finance, digitized financial services have become ubiquitous, with Artificial Intelligence (AI) emerging as a transformative force. This chapter investigates consumers contemporary dilemma in personal finance, navigating the intersection between traditional reliance on social networks for financial wisdom and the allure of AI-driven FinTech solutions. The study, encompassing 163 individuals, explores their financial decision-making preferences to discern whether they gravitate toward human connections or AI. The literature review categorizes findings into Digital Financial Literacy, FinTech, and Financial Socialization, offering insights into aspects such as autonomy, confidence, subjective well-being, and the digital divide. The chapter employs regression analysis, revealing the substantial impact of human connection and artificial intelligence on financial well-being. The significant relationships are the predictive power of these variables in shaping financial outcomes. This comprehensive exploration contributes valuable insights into the dynamic interplay between human connections and AI in personal finance. It provides a structured overview of key themes and emphasizes the need for a balanced approach that leverages the strengths of both human connections and AI to enhance overall financial well-being. The findings are helpful for individuals navigating the contemporary financial landscape, emphasizing the importance of informed decision-making that integrates the strengths of interpersonal relationships and cutting-edge AI technologies. The nexus of personal relationships, social networks, and AI has wide-ranging socioeconomic implications for various domains, individuals, households, and financial institutions. Financial well-being and artificial intelligence are emerging subjects of paramount importance in the current phase of the economy. Closer collaboration between these will likely generate new and useful insights into the financial decision-making of individuals and households.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.</text>
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                <text>Artificial intelligence; Financial decision-making; Financial well-being; Household financial management; Households; Human connections; Interpersonal relationships; Personal relationships; Social connections; Social relationships</text>
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                <text>In the era of digitalization and technological advancement it is crucial to note the dichotomy between the earlier and present times with regard to human-machine interaction. Previously human controlled machines but today its opposite happens. Human-Machine Interface has so deeply touched the life of the present generation and its most explicit example could be the change from a basic push button to a touch-screen display. A simple touch has multiple effects on people's daily life. Innovation has permeated and influenced daily physical activities. Every time people use an ATM, food dispenser, snack machine, touchscreen, cloud computing, etc., they inevitably make interactions between humans and machines. Since the applications of HMI cover numerous fields, several ethical and legal considerations should be taken into account for making it effective and viable. In this perspective, the authors analyze the challenges of Human Machine Interaction suggesting a concrete policy design for its effective application.  2025, IGI Global Scientific Publishing.</text>
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