bluuebunny/crossref_metadata_2025 huggingface dataset:
Processing Effects on Food Sensory Attributes
Authors: Korzeniowska Malgorzata Helena , Łyczko Jacek , Cano Lamadrid Marina
Published: July 2024

Visual appeal, color, flavor, taste, and texture are among the most important features for the consumers while buying food raw materials and products. Every food product is characterized by its own specific sensory quality, which depends on many aspects starting from genetics, through breeding/cultivation conditions and finishing with technological processing and market logistics. All technological processes or unit operations, just to mention thermal treatments, change the initial sensory attributes of raw food materials. Depending on the processing type and conditions, including traditional and innovative methods and techniques, a new sensory profile of the specific food can be created. Generally, positive changes are expected in food color, flavor, and texture; however, it strongly depends on the conditions and food materials, and that is why the development of the knowledge of the effect of processing on food sensory attributes is extremely important.
Higher Education Reforms and Flexible Learning Initiatives Under the National Education Policy (NEP)
Authors: Rani Maderametla Roja , Sowjanya N. C. , Manimegalai V. , Anand Taruna , Dharshne M.
Published: July 2024

The National Education Policy (NEP) of India is a significant reform aimed at addressing education challenges and promoting excellence. It emphasizes higher education, teacher training, technology integration, and flexible learning initiatives. The policy advocates for multidisciplinary approaches, flexibility, autonomy, and innovation in curriculum design and delivery. It aims to enhance graduates' quality, relevance, and employability, positioning India as a global knowledge hub. The policy also emphasizes teacher training, professional development, and technology integration. It promoters for flexible learning initiatives, accommodating diverse learning needs, and lifelong learning. Implementation of the NEP will require capacity building, research, innovation, and partnerships. With collective action, it can transform India's education into more inclusive, equitable, and responsive to 21st-century needs.
Intrapreneurship as a Driver of Renewal in Social Organizations
Authors: Deprez Jana
Published: July 2024

Intrapreneurship, or entrepreneurial behaviors such as proactivity, innovativeness and risk taking in existing organizations is more relevant than ever before. For social organizations encompassing both corporate entrepreneurship (i.e., top down practices) and intrapreneurial behavior (bottom up behavior from employees) is crucial. Yet, corporate entrepreneurship has received substantially more research attention than intrapreneurial behavior, and often both are used interchangeably by authors. This paper aims to shed a light on the literature on corporate entrepreneurship, intrapreneurial behavior, and intrapreneurship. Additionally, we will give a literature overview on how team and top leaders affect intrapreneurial behavior. Finally, we will reflect further on the idea of social entrepreneurship as active resistance, how this related to intrapreneurship and its relevance for intrapreneurship as a job requirement, teamwork, and organizational policies as well as share some interesting avenues for further research on intrapreneurial behavior.
Social Innovations for Improving Healthcare
Authors: Tariq Muhammad Usman
Published: July 2024

This chapter explores how social innovations may revolutionise healthcare delivery in a disruptive way. The story navigates the terrain of social innovations, solving complex healthcare difficulties and promoting health fairness by focusing on various methods, practises, and models. The chapter begins by examining social innovation in the context of healthcare and explains its importance, especially in environments with limited resources. The chapter also addresses the difficulties of implementing social innovations and growing them, including topics like financing, regulations, acceptance in different cultures, and multidisciplinary cooperation. The relationship between social innovations and health equity is critically discussed, highlighting how these innovations address socioeconomic determinants of health and support more inclusive healthcare systems. In order to achieve better results and more fairness, the closing remarks highlight the transformational potential of social innovations and advocate for their incorporation into more comprehensive healthcare policies.
Advancements in Early Warning Systems and Human Factors in Lightweight Secured IoMT Ecosystems for Healthcare 4.0
Authors: Anitha D. , Sasikala S. , Velmurugan A. , Sharmila V. , Banupriya R. , Muthusamy P.
Published: July 2024

The integration of Internet of Medical Things (IoMT) devices in healthcare has ushered in a new era of interconnectedness and data-driven decision-making, paving the way for Health Care 4.0. However, security concerns and risks to patient safety and data privacy must be addressed. Early Warning Systems (EWS) are crucial for ensuring lightweight yet robust security measures within IoMT ecosystems. These systems use real-time data analytics and machine learning algorithms to identify anomalies and potential security breaches. By integrating technical innovations with human-centric design principles, healthcare organizations can navigate IoMT ecosystems effectively and advance Health Care 4.0.
A Capabilities Approach Towards Addressing Gender Inequality in Transnational Higher Education Leadership
Authors: Kozuch Shayna
Published: July 2024

This chapter explores the challenges faced by women moving into leadership in the transnational higher education context. The chapter provides a detailed analysis of Amartya Sen's Capabilities Approach to understand gender inequality in leadership. Nussbaum and Robeyns' lists of central human capabilities are adapted to apply theoretically to the context of gender equality in capabilities. The chapter establishes capabilities as a framework for action in pursuit of gender equality in higher education and proposes steps that institutions can take to support women in leadership positions and reduce gender inequality.
History of Higher Education in Georgia From the Ancient Period to the Modern Times
Authors: Chitadze Nika
Published: July 2024

This research paper there are analyses different periods of the functioning of the High Educational Institutions in Georgia starting from the ancient period to the modern period and the role of the country within the transnational education process from the ancient period till the modern times. Particularly, parallelly with the educational institutions functioning, there are observed the preconditions of the involvement of Georgia in transnational education, by the engagement of Georgian students in the study process abroad and promotion of the arrival of foreign students for the getting education in the different high institutions of Georgia. Furthermore, attention is paid to the current situation in the framework of the high educational system of Georgia, by discussing the importance of joining the Bologna Process as a clear example of Transnational education and introducing the United National Exams in the country, based on the experience of leading countries of the world etc.
Athos Bulcão's Tile Distribution Logic Using Common Digital Art
Authors: Lyra Bergamo Marília
Published: July 2024

Athos Bulcão is a renowned Brazilian artist recognized for his outstanding surface work with tiles on murals of Brasília's buildings, the 1960s-designed modern capital of Brazil, and other localities. The beauty of his work can be expressed by how it has become part of the city landscape and people's everyday encounters. It is also very contemporaneous regarding how he used logic to organize his tiles, using rotation and pattern distribution, allowing chance and error while architectural surfaces are assembled. Explaining logic and making it into tile distribution is difficult to explain to students; using paper prototypes helps, but Common Digital Art coding takes it a step further in the complexity of tiling art. This chapter proposes a method for students to learn those skills and also to learn to develop their logic if they intend to create authorial tiling works in murals.
The Concept of Digital Art and Refik Anadol
Authors: Çelik Ferda , Aktürk Rıza , Yücel Caymaz Gökçen Firdevs , Türkdoğdu Hilal
Published: July 2024

Humanity is moving forward in a process of evolution where technology and art intersect. In the modern era, the spread of computers and the internet has enabled works of art to reach a wider audience and has brought innovations in the way art is created and exhibited. Digital art has emerged as a product of this transformation and has become a developing discipline using the aesthetic and creative potentials of computers and the internet. With the spread of the internet, fundamental changes have been experienced in the media and communication order, and digital media and encodings have created new forms of communication. Refik Anadol, one of the leading names of digital art in Turkey, has built bridges between the physical and digital worlds through the use of data and artificial intelligence, and has taken art to a new dimension. Dec. Anadol's works have transformed the perception of space and presented alternative realities to the audience. These works change and expand the way art is perceived by making the audience active participants.
Setting Up a Home “Making Space” After Professional and Academic-Based Ones Built for Everyday Learning, Creativity, and Innovation
Authors: Hai-Jew Shalin
Published: July 2024

Common artists, crafters, artisans, and DIY (do-it-yourself) makers need spaces to explore their inspirations and creativity and to advance their making skills. They need a place to set up their equipment. They need a physical location to store their supplies and reference materials and incomplete works. They may need a virtual space to create, too, to harness the power of computation. They need a market for their goods. They need a community, in the real and the virtual, for emotional support, ideas, and camaraderie. There is little known in the way of how these at-home making spaces may be set up for the best outcomes, broadest ranges of possibilities, and ultimate creativity, but it is thought that some insights from professional maker spaces and the academic literature may inform on this challenge. This exploratory work offers some initial ideas from the literature review and applied action research in an auto-ethnographic case.
Making Original 2D Visual Deepfakes With a Generative AI Tool
Authors: Hai-Jew Shalin
Published: July 2024

In the research and popular literature, there are many concerns about the deepfakes that may be generated using generative AI and other tools to mislead people and to compromise them in various ways through deception. This work explores the nature of deepfakes, generative AI, and manual and computational and combined means to identify (and neutralize) potential deepfakes, as described in the academic literature. Deepfakes may have positive effects as well to enhance human creativity and to expand the toolkit for digital making. This work also explores how to create a credible (non-malicious) 2D visual deepfake using a popular generative AI tool to understand some affordances and constraints for this particular “use case”. For this basic work, the idea is only to trick the eyes, not the more in-depth detection methods based on computation.
Generative AI and the Expansion of the Solitary Human Imagination
Authors: Hai-Jew Shalin
Published: July 2024

The affordances of generative AI—in its ability to provide feedback on human-made (or human-machine made, or computer-made) works, its ability to create text/audio/video/still imagery/multimedia—enables powerful augmentations to the solitary human imagination. To wit, such technologies enable human-machine collaboration in terms of (1) human-directed non-neutral culture-informed feedback on created works (for original texts) and (2) digital informational content generation (for inspiration, for reference, for comparison, for learning, for hands-on image editing, and other applications). Generative AI may enable pathways to grow skillsets and perhaps even courage and strength in the expression of an individual voice.
Multimodal Outputs for the Workplace From Generative AI
Authors: Hai-Jew Shalin
Published: July 2024

Workplace documents are a combination of genre (form) and topic (content), and there are a variety of standards they must meet to be usable. Most such files are also multimodal, consisting of both text and still imagery. When outputting multimodal digital works for the workplace from multimodal generative AI (GAI) tools, their usability depends on various factors. This work explores some elicited multimodal outputs (text + imagery) from a popular multimodal generative AI tool to assess the respective quality based on practical dimensions. This work offers an early assessment for just how useful multimodal generative AIs are for this broad use case. And this work offers a checklist of factors to evaluate for multimodal file output quality for the workplace. Some initial observations are made about the practical usability of the multimodal GAI for outputs for professional workplace usage, based on this light prompt-response-analysis exploration.
Transformative Waves
Authors: Minz Nitish Kumar
Published: July 2024

This research explores the transformative impact of disruptive technologies in education and workforce development. Focused on key themes, it investigates how technologies like AI, AR, and VR reshape learning experiences, catalyzing a paradigm shift in education. Examining workforce development, the review highlights initiatives for upskilling and reskilling in the digital age. Balancing opportunities and challenges, the narrative unfolds changes in teaching models towards adaptive, learner-centric approaches. Navigating the evolving digital landscape, stakeholders must embrace innovation while addressing issues of access and equity. Understanding and adapting to these transformative waves are essential for fostering a future-ready education and resilient workforce.
A Service-Based Measurement Model for Determining Disruptive Workforce Training Technology Value
Authors: Warren Scott Joseph , Churchill Christina , Hayes Aleshia
Published: July 2024

Are the training outcomes of innovative technologies worth their investment cost? How can managers determine a company's valuable profits resulting from employing virtual, mixed, and augmented reality tools? This chapter presents metrics for evaluating information technologies' operations and business value relative to their service contributions in support of worker task efficacy and efficiency, reduced operations downtime due to training, and other benefits. The authors provide sample calculations that can help managers and researchers better explain the service-dominant logic-defined affordances of these innovative tools and their expected benefits in supporting corporate strategy, organizational performance measures, and operational performance in manufacturing knowledge production. Finally, the authors provide extended reality-supported worker training examples to model these calculations to determine the value of innovative technology assets for training and workplace performance improvements.
Sustainable Development Between Artificial Intelligence and Education
Authors: De Giuseppe Tonia , Tornusciolo Silvia , Catalano Enza paola
Published: July 2024

This chapter, starting from the United Nation's (UN) 2030 agenda, analyzes the current stage of implementing its objectives, focusing on the milestones. The UN Agenda 2030 aims to overcome inequalities, poverty, and disparities. This ambitious goal, especially considering the social transformations caused by the pandemic, requires new models of sustainable development. Sustainability and inclusion are key: how can artificial intelligence (AI) support sustainable development and create an inclusive society? AI's pervasiveness can become a risk without a society democratically oriented toward awareness of its centrality and the common good. The emergence of new inclusion models, such as flipped inclusion, can address this challenge and make the ambitious project of the UN Agenda 2030 a concrete reality.
Navigating the Pedagogical Innovation and Digital Transformation Landscape in the Education 5.0 Era
Authors: Naraidoo Sanju , Doargajudhur Melina , Hosanoo Zuberia , Zaung Nau
Published: July 2024

The digital age requires the adoption of innovative techniques in all spheres of life including education. In a similar vein, the Industrial Revolution called for innovative workforce skills centered around strong service orientation, creativity, collaboration, and a high level of emotional intelligence. In the education 5.0 era during and post-COVID, instructors had the challenge of adopting diverse pedagogical innovations preparing the learners for the opportunities of the future. Education 5.0 is a revolutionary approach to education and offers an engaging, all-encompassing, and self-paced learning environment that tests students and teachers alike. Its potential is evident, even if there are still obstacles to be addressed. This chapter outlines the transition in education and its alignment with the development of internet services, which acts as a catalyst in adapting learning and assessment to the needs of society 5.0 through a multitude of appropriate digital tools. It also cautions readers against the challenges of education 5.0, and provides future research avenues.
Facilitators and Barriers to Nursing Educators in Implementing an Undergraduate Nursing and Midwifery Curriculum in the Digital Era
Authors: Ashipala Daniel Opotamutale , Likando Gilbert , Ndumbu Steven
Published: July 2024

Rapid changes in the global higher education landscape in response to the digital era have prompted the University of Namibia to transform its nursing and midwifery curriculum to embrace the evolving world of digital technology. However, the perspectives of nursing educators on implementing a transformed undergraduate nursing and midwifery curriculum in the digital era have not been extensively explored. This chapter aims to explore factors that serve to facilitate or act as barriers to nursing educators in implementing a transformed undergraduate nursing and midwifery curriculum in the digital era. It is recommended that the training institutions should increase their efforts to enhance the digital knowledge and skills of nurse educators required in digital curriculum transformation.
An Application of the ADDIE Model for Entrepreneurship Training
Authors: Mohd Noor Nurul Hidayana , Omar Noralina
Published: July 2024

This study aims to identify skills required by Malaysian women entrepreneurs from a low-income group known as B40. This study only focuses on womenprenuers who are involved in digital businesses. In addition, this study also employed the ADDIE model to develop the training workshop for empowering womenprenuers to improve their competencies and business performance. The interviews were used as research instruments and involved twenty-two informants. Data were evaluated using thematic analysis. The findings have categorised the training need into seven main themes: financial management, information and communication technology (ICT), marketing, customer service management, motivation, communication skills, and business management. These themes represent the training skills required by the informants. The researchers have used the information to develop womenpreneurs training workshops. The target participants are exposed to various entrepreneurship skill sets. The research implications, limitations, and future research recommendations were also highlighted.
ChatID
Authors: El Ouarrak Meriem , Aouad Sara , Baha Fatima , Sadiq Mounir , Radid Mohamed , Chemsi Ghizlane
Published: July 2024

In the context of Education 5.0, the field of training is characterized by the emergence of digital learning. In this context, the digital learning lab (DLL) department of Mohammed VI Polytechnic University (UM6P) designs e-learning courses with the help of instructional designers who, with their expertise, create content adapted to learners and customer needs. However, their mission goes beyond simply satisfying these needs, as it also involves the need to adopt a creative approach to offer an attractive training experience. The aim of this study is to design an instructional designer's assistant in order to optimize its productivity and meet the challenges it faces. This innovative approach offers promising prospects for the future of training in the context of Education 5.0. It aims to improve and facilitate the job of the instructional designer, while preserving the creative and relational aspects inherent in their role.
Evaluation and Redesign of an E-Learning Platform
Authors: Dari Salma , Sara Aouad , Fatima Baha , Halima Lajane , Rachid Gouifrane , Mohamed Radid , Ghizlane Chemsi
Published: July 2024

Education 5.0 focuses on the integration of technology, aiming to transform educational environments into more accessible, flexible, and innovative spaces. E-learning platforms play a key role in realizing the principes of Education 5.0. In this chapter, the authors look at how this technology can help optimize an e-learning space, including its ability to enhance personalization, increase engagement and provide better access to education to improve the learning experience. This survey aimed to explore how the emerging educational trends, collectively referred to as 'Education 5.0,' influence students' experiences in the word of e-learning. The authors will investigate the case of an e-learning platform designed for preparatory class students, focusing on the advantages and opportunities offered by this platform.
Revitalizing Continuous Education
Authors: Ayat Hafsa , Sadiq Mounir , Radid Mohamed , Chemsi Ghizlane
Published: July 2024

The rapid growth of digital learning has transformed education, providing learners with incomparable access to various materials and the flexibility of remote courses. Despite these benefits, issues such as limited contact and sustained learner commitment highlight the need for creative educational techniques based on social learning concepts. The chapter aims to design and implement a small private online course (SPOC) that leverages social learning for the UM6P community. The SPOC is designed to provide a personalized and interactive educational experience through the use of multimedia, interesting learning activities, and participant engagement. The ultimate purpose is to create awareness and encourage acculturation within the UM6P community around the critical issue of sustainable development.
Navigating Change in Education 5.0
Authors: Tsarkos Athanasios
Published: July 2024

This chapter delves into the imperative shift towards Education 5.0, emphasizing the symbiotic integration of digital technologies within educational frameworks to cultivate a comprehensive learning ecosystem. It introduces a phased change management model designed for the successful digital transformation of educational institutions, delineating stages of preparation, planning, execution, and consolidation. This model tackles prevalent challenges such as resistance to change and the digital divide, proposing actionable strategies for their mitigation. It also forecasts future educational trends, including the utilization of AI and VR, to personalize and enrich learning. Providing a detailed blueprint, the narrative equips educational leaders with a structured approach to navigate digital transformation intricacies, fostering an environment of continuous improvement and collaborative engagement towards an inclusive, adaptive, and technologically advanced educational paradigm.
Design and Implementation of a Distance Learning Program in Personal Development
Authors: Drissi Fatima Ezzahrae , Lajane Halima , Radid Mohamed , Gouifrane Rachid , Chemsi Ghizlane
Published: July 2024

E-learning has emerged as a pivotal component of education, particularly in response to the unprecedented challenges posed by the Covid-19 pandemic. This unparalleled situation has compelled educational entities such as ministries, schools, universities, and businesses to embrace remote learning. In this dynamic landscape, digital education is progressively being adopted by organizations seeking to deliver high-quality training programs to their workforce. In recent years, faced with growing demand for customized training, companies are turning to e-learning to achieve two goals: boosting skills through more effective training, and saving money through faster training in human resources.
A Systematic Review of Augmented Reality Experiential Marketing
Authors: Irgui Aya , Qmichchou Mohammed , El Haraoui Ilham
Published: July 2024

This study outlines the current understanding of augmented reality experiential marketing (AREM), providing a comprehensive overview of the field's state and identifying areas for further investigation. Through a systematic literature review, the authors analyzed 35 articles to develop an integrative framework highlighting both theoretical advancements and practical applications. The review addresses significant research gaps, offering insights and pinpointing challenges in existing knowledge. Key findings demonstrate AREM's influence on consumer behavior and its implications for immersive marketing strategies. Notably, the study calls for a nuanced understanding of AR beyond novelty, advocating for engaging, immersive, and personalized interactions. It emphasizes inclusive demographic approaches and ethical considerations like privacy. Original in its scope, this review lays a foundation for expanding AREM's theoretical landscape, promoting a culturally inclusive and ethically aware marketing approach to enhance consumer experiences in a digital marketplace.
Data-Driven Strategies for Enhancing Customer Retention in Moroccan Telecoms
Authors: Garohe Adil , Zammar Rachid
Published: July 2024

In the face of escalating customer turnover, Moroccan telecom operators seek robust strategies to retain their customer base. This chapter investigates the dynamics of customer churn and proposes a big data analytic approach to predict and minimize this phenomenon. Through the integration of logistic regression, machine learning techniques, and psychological profiling, the authors provide a comprehensive model for understanding customer behaviors and developing targeted retention strategies. The findings from this study offer a valuable blueprint for telecom companies to not only address the churn but to also pave the way for sustained market success in a competitive digital economy.
AI in Visual Arts
Authors: Ranjan Rajneesh , Mishra Anjana , Maharana Smruti Pratisruti , Kumari Sweety
Published: July 2024

In the past two to four years there have been significant improvements made in AI due to improvements in computing capacity, resulting in an increase in public interest and funding for research. This has led the authors to embark on a project aimed at gaining a deeper understanding of these art generator AIs using generative algorithms such as GANs and VAEs. This chapter begins by providing a brief outline of the historical context and evolution of AI in the arts, tracing its trajectory from early experiments to its current advancements in visual artistry. The subsequent sections of the chapter explore the role of generative algorithms in each artistic medium, starting with an overview of algorithmic painting, followed by an examination of algorithmic sculpture and digital art. In addition, this chapter also introduces four novel features specific to AI-Art. In this chapter, the authors have drawn upon references from various tests published by esteemed researchers and practitioners to gather the necessary insights for the investigation and deepen our understanding.
Innovating Reality
Authors: Panda Rabi Shankar , Mishra Anjana , Mohanty Abhishek
Published: July 2024

Generative artificial intelligence has enormous promise in business, marketing, finance, education, and healthcare sectors. It can have an impact on areas like consumer engagement and fraud detection. But it also poses difficult problems. Decision-making is hampered by technological barriers like data quality, explainability, and authenticity, as well as economic issues like income inequality and possible job loss. Privacy, bias, and misuse are all examples of ethical dilemmas. To address these, thorough norms that guarantee accountability, openness, and equity are needed. Meeting societal requirements and fostering collaboration requires advancing AI education and human-centric cooperation. Rules and guidelines that emphasise empathy, clarity, and ethical norms must be established to steer AI research and development toward responsible and ethical practices in order to effectively manage these obstacles.
Generative AI Unleashed
Authors: Dehankar Pooja , Das Susanta
Published: July 2024

Generative AI is omnipresent in our daily lives, influencing everything from media and entertainment to personal care and healthcare. The Fourth Industrial Revolution has brought about significant developments in artificial intelligence, such as ChatGPT, which have gained prominence and changed the way data is created and produced. This chapter highlights the current use of AI in natural language processing. These models are based on machine learning. This chapter examines these models' possible benefits to the economy. The potential influence of generative AI on productivity might boost the world economy. All industry sectors will be significantly impacted by generative AI. The economy as a whole can benefit greatly from generative AI's ability to boost labor productivity. We can utilize generative AI's promise to build a more just, inclusive, and sustainable future for all people if we are aware of how it affects society. This chapter offers a comprehensive analysis of the potential exposure of generative AI, in particular to generative pre-trained transformers.
Next-Generation Smart Banking
Authors: Temel Eren
Published: July 2024

This chapter aims to conduct a comprehensive assessment of current applications and opportunities based on AI within the framework of the new-generation banking paradigm emerging with the integration of FinTech (financial technology) in the financial sector. In this context, AI and solutions in the banking sector have been thoroughly examined, addressing key issues shaping the transformation of financial services. Specifically, AI solutions in banking including cybersecurity and fraud management (fraud prevention), speech recognition, voice response, routing and analysis (IVR/IVN/ASR), credit assessment (credit scoring), user experience enhancement (personalized recommendations and advice), virtual chat robots (chatbots), self-service kiosks, digital screens, robo-advisory, and auditing have been scrutinized in light of current trends. Based on all this information, particular insights and evaluations have been drawn.
Understanding Mediators and AI's Influence on Job Performance
Authors: Zouari Farouk , Toumia Oumeima
Published: July 2024

Nowadays, firms are keen to combine artificial intelligence with machine learning to improve productivity. More precisely, artificial intelligence and machine learning play a variety of functions in business, from improving communication between staff and customers to automating repetitive tasks. The chapter investigates the impact of artificial intelligence on job performance, using employees' characteristics and types of sectors as mediators' variables. Both explanatory and confirmatory factor analyses, as well as structural equation modeling, are used in the study. The authors found that artificial intelligence has no impact on job performance. Indeed, both employees' characteristics and types of sectors do not mediate the relationship between artificial intelligence and job performance.
Global Media Changes and Digital Advertising
Authors: Meral Kevser Zeynep
Published: July 2024

This study aims to review digital advertising literature, to identify and define different aspects of ‘digital advertising' role in consumers' behavior. Researchers investigated the role of digital advertising on consumers' behavior while online shopping, exposed to digital ads. Research showed that although new digital advertising legislation, rules, regulations, and self-regulations by voluntary initiatives came into force, it could not stop unethical practices in digital advertising. Mainly, due to controlling difficulties in digital world and advised policy makers and governmental bodies to develop new control techniques and applications of digital ads control along with supporting media literacy and family education about effects of digital ads. In conclusion, as the digital world is constantly changing, policy makers and governments must adopt to changes, and must revise legislation and using new controlling techniques without delay. Developing countries must also implement related protective rules of digital advertising and changes which are in force in developed countries.
Ethical Considerations in Implementing Artificial Intelligence in Cybersecurity
Authors: Goel Pawan Kumar
Published: July 2024

The integration of artificial intelligence (AI) into cybersecurity offers numerous benefits, but it also raises ethical concerns about the balance between security and privacy rights. Existing literature highlights the importance of transparency, accountability, and fairness in AI algorithm design and deployment. However, there are gaps in understanding the complex trade-offs between security needs and privacy rights, highlighting the need for a more comprehensive ethical framework. The proposed methodology advocates for a holistic approach to ethical AI implementation, emphasizing transparent AI algorithms, unbiased data collection and analysis practices, and robust mechanisms for obtaining user consent and protecting sensitive data. The results demonstrate the feasibility and efficacy of the proposed ethical framework in addressing security and privacy concerns in AI-driven cybersecurity.
Exploring Blockchain-Based Timestamping Tools
Authors: Zangana Hewa Majeed
Published: July 2024

The chapter highlights the use of blockchain-based timestamping systems as a reliable solution for ensuring the authenticity and immutability of digital materials in various contexts. These systems leverage distributed consensus, cryptography, and smart contracts to guarantee non-modifiable timestamps, which ultimately leads to increased trust and transparency in transactions. The chapter explores the core concepts and applications of blockchain-based timestamping, including its role in verifying historical data and its applications in artificial intelligence, smart contracts, banking, insurance, and legal transactions. Additionally, the chapter discusses recent research, barriers, and future considerations such as scalability, interoperability, regulatory compliance, user experience, and environmental sustainability. Overall, the aim of the chapter is to analyze the power of blockchain-based timestamping in shaping the future of digital trust and security.
Source Code Vulnerability Analysis Using GPT-2
Authors: Magyar Attila
Published: July 2024

This study introduces a deep learning methodology aimed at identifying security vulnerabilities present in C/C++ source code files. Employing default tokenizers and encoders of the GPT-2 architecture, the approach involves pre-training and subsequent fine-tuning of a GPT-2 large language model using diverse C/C++ source code files sourced from various open-source projects. Evaluation of the model's efficacy is conducted through the detection of vulnerabilities within multiple datasets dedicated to source code vulnerability analysis. Findings from the evaluation demonstrate that appropriately trained and fine-tuned GPT-2 models utilizing default tokenizers and encoders produce results comparably favorable to alternative deep learning methodologies.
Hybrid Machine Learning Model for an Intrusion Detection System for Smart Grids Using Artificial Neural Network and Random Forest
Authors: Kumar Santosh , Ahlawat Priyanka
Published: July 2024

Recently, machine learning methodologies are playing an important role in detecting network intrusions (or attacks), which further helps the network administrator to take precautionary measures for preventing intrusions. In this project report, the authors propose to use various techniques like support vector machine, logistic regression, random forest, decision tree, and a hybrid model using artificial neural networks and random forest. The new hybrid model for network intrusion detection aims to achieve better precision, recall, accuracy, and F1 score. To reify this, combined artificial neural network and random forest algorithms are used. In the hybrid model, ANN works as a feature extractor and random forest as a classifier. The data is provided to ANN and the ANN generates new features on the basis of given input. The new features are then provided to random forest as an input. The random forest then classifies the data into different classes on the basis of new data. Here, KddCup99 dataset has been used to evaluate the models and accuracy achieved in each model.
Disentangling the Link Between Service Quality and Customer Brand Engagement
Authors: Hashem Mohamad , Curras-Pérez Rafael , Ruiz-Mafé Carla
Published: July 2024

The purpose of this chapter is to analyse how the dimensions of service quality affect cognitive, affective and behavioural customer brand engagement. The chapter showcases the success story of a leading car dealership in Jordan demonstrating practical applications and outcomes. A questionnaire was answered by a sample of 602 customers who purchased a vehicle from a car dealership in Jordan during 2020-2022. In addition, a concept mapping analysis was conducted with the staff of the car dealership. This chapter provides insights into: (i) how to improve service quality through marketing intelligence; (ii) how the perceptions that customers hold about service quality can drive customer brand engagement dimensions.
Negative Customer Engagement and Brand Hate in Users of Extreme Snow-Sports Brands
Authors: Iranzo Barreira Alvaro , Küster Inés , Ruiz-Mafé Carla
Published: July 2024

This chapter aims to understand the relationship between the concept of negative customer engagement and Brand Hate and is one of the first to analyse this relationship. In addition, it examines whether the negative emotions of frustration, stress, fear, boredom, and sadness mediate this relationship. This chapter contributes to the study of negative brand-consumer relationships, responding to the research need to contribute more knowledge to the negative valence of customer engagement and brand hate. This study uses structural equation modelling to analyse a unique context, 400 ski and snowboard athletes. The results show how negative customer engagement significantly influences brand hate, mediated by the emotions of frustration, stress and sadness, as opposed to what previous literature suggests.
High Performance Work System
Authors: Tiwari Shurlly
Published: July 2024

A modern management strategy called a High-Performance Work System (HPWS) seeks to maximise an organization's human potential and skills to improve performance. This management paradigm breaks from conventional, hierarchical management techniques. The salient characteristics and guiding ideas of high-performance work systems are employee centricity, teamwork, regular performance improvement, flexibility, customer focus, strategic alignment, performance-based compensation and information sharing, to name a few. HPWS is associated with the idea that organizations can gain a competitive advantage (Alkhatib & Valeri, 2022) by creating a work environment where employees are engaged, motivated, and productive. This new era of management acknowledges that traditional top-down, command-and-control structures may not be as effective in today's dynamic and knowledge-based economy. Implementing a High-Performance Work System involves a holistic approach with the ultimate goal of achieving superior organizational performance and competitiveness.
American Psycho Universe
Authors: Hernández-Santaolalla Víctor , Fernández Gómez Jorge David
Published: July 2024

Horror is one of the genres that has most exploited the possibilities of franchises, sequels or remakes. Precisely, the slasher subgenre is capital in the sense that such notorious sagas as Halloween. Thus, the chapter approaches the American Psycho phenomenon from its formulaic nature, analysing the implications of each of its audiovisual products. Based on the novel by Ellis, the film by Harron was a critical and public success: set in the Wall Street of the 1980s, it narrates the life of Bateman, a yuppie who personifies the business elite and at the same time is a bloody serial killer. The success of the film gave rise to American Psycho 2, abusing the slasher formula, this time in a female key and in the university. Also inspired by the novel, the musical adaptation recaptures the critical essence of the original film, while a sequel comic commenced publication in late 2023. En this line, drawing from the novel and the original film, the chapter explores the evolution of the narrative in terms of genre orthodoxy, ideological subtext, and commercial aspects.
The Uncanny Otherness in Polanski's Apartment Trilogy
Authors: Tombul Işıl
Published: July 2024

Auteur Roman Polanski uses metaphors and motifs repeatedly in his cinema to express his artistic personality. Polanski's Jewish identity and otherness phenomenon have significantly impacted his cinema. The Apartment trilogy comprises the films Repulsion (1965), Rosemary's Baby (1968), and The Tenant (1976), which deal with identity marginalization in Polanski's cinema. The identity of “other” in Polanski's Apartment Trilogy has been examined through auteur criticism. Characters with an identity different from the dominant culture experience the uncanniness, otherness, insecurity, loneliness and disgust of modernism in metropolitan spaces. As an auteur director, Polanski handles the Freudian uncanny and Kristevan abjection in the context of the characters' marginalization within the dominant culture.
A Galaxy-Wide Ethical Debate
Authors: Tuysuz Dilan
Published: July 2024

Star Wars, one of the most popular film series in cinema history, has a story about the eternal struggle between good and evil. In this dichotomy the Jedi knights represent the light side, while the Sith represent darkness and absolute evil. It may be realized that the Jedi order, presented as the guardian of order and prosperity in the galaxy, may not be as perfect as it seems. But how and why did the Jedi, who understood the Force best and dedicated their entire lives to its balance, come to the point of self-destruction? To answer this we need to look at the philosophy of Stoicism, which is thought to have inspired the Jedi code. Stoic virtues such as wisdom, justice, courage, self-control and humility appear to be among the ethical codes of the Jedi order. However, the Jedi have an idealistic understanding of ethics, which may conflict with the complex situations they face in practice.This study aims to discuss the similarities and fundamental conflicts between Jedi philosophy and Stoicism and to discuss the “bad” aspects of the side representing “good” in the Star Wars universe.
Meta-Heuristic and Machine Learning Modelling and Optimizing Complex Systems
Authors: Kandasamy Manivel , Mishra Adityawardhan , Tiwari Vansh , P. Nageswari
Published: July 2024

The present chapter of this book delves into the exploration of metaheuristic algorithms as an avenue for solving optimization problems pertaining to engineering and intricate systems. Metaheuristics which encompass a diverse array of intelligent search and optimization techniques inspired by natural phenomena, have demonstrated their efficacy in addressing intricate, nonlinear, and multi-objective optimization challenges. Furthermore, a thorough and comprehensive overview of metaheuristic algorithms, including genetic algorithms, simulated annealing, particle swarm optimization, and ant colony optimization, among others, is provided. Additionally, the chapter delves into the synergistic potential of combining metaheuristics with other optimization techniques, as well as machine learning and data-driven approaches. Ultimately, this chapter culminates in serving as a valuable resource for researchers, practitioners, and students who possess an interest in employing metaheuristics for the optimization of engineering and complex systems.
Meta-Heuristic Algorithms for Optimal Sizing of Hybrid Renewable Energy Systems
Authors: Valliappan Subramaniyan , R. Karthikeyan , K. Kaliagurumoorthi , Muthusamy Shanmugapriya
Published: July 2024

The demand for fossil fuels has created a need for renewable energy sources. In addition to fossil fuel shortages, many countries and companies are also concerned about global warming. These issues have led to the addition of many renewable energy sources to modern power distribution systems. However, the high penetration of renewable energy and the intermittent nature of some resources, such as photovoltaics and wind turbines, lead to fluctuations and unpredictability in power system production. In this situation, grouping these resources provides a solution to the problems arising from the different outcomes. A virtual power plant is a collection of control loads that are collectively managed by distributed generators, energy storage systems, and energy management systems. The purpose of VPP in this study is to reduce the total cost of ownership while considering the 24hour energy loss cost. As a solution to address this issue, a metaheuristic optimization algorithm, the Imperialist Competitive Algorithm, has been proposed to find the best possible Establish energy management.
Optimizing Optical Fiber Path in Wavelength Division Multiplexing Networks Using Particle Swarm Optimization
Authors: I. ManiKandan , Nagalakshmi T. , Vanya sree G. , Seeniappan Kaliappan , Arvinda Pandian C. K. , Govinda Rao S.
Published: July 2024

In this paper, we explore the application of Particle Swarm Optimization (PSO) to maximize the performance of Wavelength Division Multiplexing (WDM) networks by optimizing optical fiber paths. Through rigorous evaluation metrics such as Data Transmission Speed Analysis and Congestion Reduction Assessment across ten trials, our findings reveal consistent and meaningful improvements. PSO effectively enhances data transfer speeds, resulting to more efficient network performance. Moreover, the approach reliably minimizes congestion levels, decreasing a significant challenge in WDM networks. These results highlight PSO's adaptability and reliability in solving challenging optimization challenges in optical communication. The practical application of PSO reveals its promise as a revolutionary tool for attaining higher data transfer speeds and network reliability, providing the basis for future breakthroughs in the optimization of communication networks.