bluuebunny/crossref_metadata_2025 huggingface dataset:
Traduction juridique à l’aide de DeepL et selon une approche juritraductologique : retour sur expérience
Authors: Bracchi Enrica
Published: December 2024

Les impacts de la pandémie de Covid-19 sur les pratiques pédagogiques et les sessions d’examens dans l’enseignement supérieur en France ont été divers et profonds (Saber, 2020). Dans notre faculté, les enseignants ont longuement échangé sur cet impact au niveau des évaluations des examens de traduction écrite et certains d’entre eux ont proposé, comme sujet d’examen, des extraits de textes traduits à l’aide de traducteurs en ligne, demandant aux étudiants d’apporter des corrections ou des commentaires sur le texte en question. C’est à la suite de ces échanges et de ces essais, que nous avons décidé d’intégrer la traduction automatique (TA) et, plus précisément, l’utilisation du site DeepL Translator dans notre cours de traduction juridique, destiné à des étudiants francophones et italophones, juristes linguistes. Dans cet article, nous nous proposons de montrer si et comment DeepL Translator peut être utilisé en tant qu’outil pour la traduction juridique, à condition qu’il soit accompagné par une réflexion juritraductologique (Monjean-Decaudin, 2022).
Du cours ex cathedra à la pédagogie par projet, en classe inversée. Un partage d’expérience pour la terminologie
Authors: Picton Aurélie , Haeberli Philippe
Published: December 2024

Dans ce partage d’expérience, les auteurs témoignent d’une réflexion sur la transformation d’un dispositif d’enseignement d’un cours de master en terminologie, dans un cursus de technologies de la traduction (Faculté de traduction et d’interprétation à l’université de Genève). À l’origine ex cathedra, ce cours a été progressivement rescénarisé, pour intégrer plusieurs dispositifs favorisant un apprentissage actif, et en particulier les approches par projet et la classe inversée. L’expérience, développée pas à pas sur plusieurs années, permet de mettre en avant le processus et les réflexions sous-jacents à cette transformation, ainsi que les effets de ces changements, sur la qualité et la perception du cours, du point de vue de l’enseignant et des étudiants.
The Rise of Product-as-a-Service Models in the Digital Era Redesigning Business Models for Circular Innovation in the Horn of Africa
Authors: Kant Shashi , Adula Metasebia , Duloma Haro
Published: December 2024

Product-as-a-Service (PaaS) models are a mediating factor in the digital era when it comes to examining how business model redesign affects circular innovation in the Horn of Africa. The Kaiser-Meyer-Olkin (KMO) metric is used in the study to assess the dataset's eligibility for factor analysis on a sample of 390 enterprises. The reliability of the measurement apparatus is next verified, and the obtained factor structure is validated using confirmatory factor analysis (CFA). The chapter next looks at the PaaS models mediation impact using structural equation modeling (SEM). The findings demonstrate that reevaluating business models significantly promotes circular innovation, and PaaS models are essential as a bridge in this relationship. As this chapter demonstrates, the digital economy's resource efficiency and sustainability practices might be greatly impacted by the adoption of PaaS frameworks.
Developing Managerial Skills for Global Business Success
Authors: Rodriguez-Gonzalez Tamara , Sultana Shahnaz
Published: December 2024

This chapter focuses on internalizing the concept and importance of time, as well as providing necessary training to future managers on time management. To achieve this, various sections will be addressed. First, there will be an initial contextualization of time. Second, the chapter will establish a series of sub-sections to delve into time management. Third, the chapter relates time management to success. Finally, several practices are proposed to internalize the concepts discussed. One of the most significant advantages of effective time management is stress reduction. Work-related stress has been a subject of interest in numerous studies, primarily due to its association with decreased productivity, increased absenteeism, among other factors (Haus et al., 2016). Therefore, this chapter aims to delve into the concept of stress and its antecedents, focusing on occupational stress to equip future managers with the necessary tools to detect and reduce it. Additionally, this chapter suggests various practices for effective stress management.
Managers Driving Change Management
Authors: Jiménez-García Teresa , López-Fernández Macarena
Published: December 2024

This chapter focuses on changing management within the business environment, highlighting its importance as a critical skill for organizational leaders. It explores various external and internal factors that influence the success and survival of companies, including political, economic, social, and technological aspects, as well as the motivations and demands of employees. Additionally, the chapter discusses the essential skills leaders must possess to manage change effectively, such as communication, empathy, problem-solving, influence, time and resource management, and leadership. The chapter also examines organizational culture and its relationship with change management, emphasizing how shared beliefs and values can either facilitate or hinder adaptation to new circumstances. It aims to provide an understanding of the importance of change management in organizations, identify common barriers to change, and explore the necessary skills for successfully navigating this process. Finally, the chapter highlights organizational culture as a key element for effective transformation.
Conflict Management
Authors: Foncubierta-Rodríguez María-José , Shakil Muhammad Haseeb , Holgado-Herrero Magdalena , Idrees Rana Nadir
Published: December 2024

This chapter explores the concept of conflict in depth, as well as its various stages. Depending on how it is managed, conflict can have positive effects, thus being seen as an opportunity for the organization, or negative effects, thus being seen as a risk, in a context where digital transformation is a fact. Therefore, understanding conflict becomes a crucial aspect of understanding the dynamics of the groups and organizations. The types of organizational conflicts are explored, and the structural factors that influence their appearance and manifestation are identified. It underlines the different ways of managing conflict in the workplace in order to promote a win-win context. The chapter begins by posing some a priori questions to test the perception of conflict, and ends with another series of questions for study and discussion. Complementing this chapter, the Chapter Mediation & Negotiation in Conflicts Management, in this same book, has been written as a practical part of this work.
Mediation and Negotiation in Conflicts Management
Authors: Foncubierta-Rodríguez María-José , Shakil Muhammad Haseeb , Holgado-Herrero Magdalena , Idrees Rana Nadir
Published: December 2024

This chapter is a complement for the Chapter Conflict Management, in this same book. It has been written as a practical part of that work. Conflict management strategies play a pivotal role in fostering harmonious work environments and mitigating disputes effectively. This chapter delves into the realms of conflict mediation and negotiation strategies within the workplace context, aiming to transcend reliance on the judicial system. Emphasis is placed on equipping individuals with the requisite skills for implementing these strategies and navigating through their respective phases. Additionally, the chapter outlines dynamics for training the workforce involved in conflicts, culminating in the presentation of a practical case study with accompanying discussion questions. The overarching objective is to equip students with tools to manage conflicts constructively, thereby contributing to positive organizational dynamics.
Insights Into Gender Inclusivity
Authors: Wellbrook Katie
Published: December 2024

This study examines how schools in China influence the gender identities of Transgender or Gender Nonconforming (TGNC) students, focusing on their empowerment or disempowerment. It addresses the research gap on TGNC youth, who are underrepresented in educational literature. The research, grounded in the theory that schools significantly shape gender identities, explores how school environments, curricula, and policies impact TGNC students. Using an interpretivist approach, the study analyses a private international school in urban China, gathering data through purposive sampling of staff, questionnaires, and document analysis. Thematic analysis identified three key themes for gender inclusivity: gender-inclusive facilities, curricula, and the promotion of inclusive language and culture. The findings highlight how schools can empower or disempower TGNC students, offering best practices for creating gender-inclusive educational environments. This study fills a critical gap by focusing on TGNC experiences in China, with implications for policy and practice in international education.
History of Cheese and Cheese Making
Authors: Keskin Hilal
Published: December 2024

This chapter addresses the historical development and cultural significance of cheese making. It examines the emergence of cheese in the Near East, Mediterranean, and Central Europe from the Neolithic Age and details the initial cheese production techniques and materials used. The chapter discusses the evolutionary processes in the production and consumption of cheese during ancient and medieval periods, the preservation of local and traditional cheese varieties, and the transition to industrial production. Additionally, the role of cheese in contemporary gastronomic tourism and the concept of cheese tourism are explored. Highlighting the historical and cultural importance of cheese, this study explains its development as a global food commodity and its role in the modern world. Keywords: Neolithic Age, Middle Ages, Central Europe, Cheese Tourism, Roquefort, Industrial Cheese Production, Ancient Greece, Parmigiano-Reggiano
The Concept of Cheese Tourism
Authors: Kaygısız Neşe Çullu
Published: December 2024

Gastronomic tourism, which is a combination of food and tourism, has become a very popular form of travel. Cheese tourism, which is a part of gastronomy tourism, has recently emerged as a form of tourism that attracts the attention of tourists. Cheese tourism is a type of niche tourism where the travel motivation is to visit places where cheese is produced, especially in rural areas. There are many cheese tourism destinations around the world that offer different experiences. Regions where cheese tourism is carried out are significantly affected by the economic contribution of this tourism. Cheese tourism is a cultural identity and is important in preserving and promoting local heritage. Thanks to tourism, traditional cheese-making processes are transmitted from generation to generation and protected against modernization. These experiences enable tourists to have a deeper understanding of the history and cultural diversity of the region.
Cheese Tourism Destinations and Routes
Authors: Yılmaz Gökhan
Published: December 2024

This section aims to discuss cheese tourism destinations and routes with case studies only in terms of supply and demand. More clearly, it is envisaged to examine the prominent destinations in cheese tourism worldwide and the routes of these destinations that have been successfully established in terms of tourism. Furthermore, whether Turkey can be a new destination in cheese tourism is evaluated through cheese tourism products. In light of this information, it becomes necessary to define the concept of cheese tourism, explain cheese tourism products, and address these relationships through destinations such as Spain, France, the Netherlands, and Italy, which are prominent in cheese tourism in the world.
Text Extraction and Translation in the Context of Indian Languages
Authors: Mahesh Vijayalakshmi G. V. , Anveri Amit , Rehman Abdul , Shetty K. Siddartha D.
Published: December 2024

Humans need to be able to communicate, and since there are hundreds of languages spoken in the world today, it is impossible for one individual to become fluent in them all. Thus, this results in a barrier in communication languages that generates a number of other issues. Therefore, translation is necessary for converting one language into another so that people can converse with ease wherever in the world. This work therefore suggests overcoming by utilizing software tools that enable the conversion of a text image or document into any desired language. The suggested project focuses on creating an assistive text reading model that makes it easier to read text in the original languages found on product labels, sign boards, printed notes, and other items. It blends the ideas of a text-to-speech engine, translator, and optical character recognition (OCR).
Ensuring Security in Vehicular Cyber Physical Using Flexray Protocol
Authors: Bagga Neha , Kalra Sheetal , Kaur Parminder
Published: December 2024

With evolving automotive technology V2V communication will follow an evolutionary path as well alerts are provided to driver to maintain safety on road and take timely decision for received warnings. V2I helps vehicle to share information with roadside components of Intelligent Transportation Systems. All the communication above is susceptible to be intercepted and wrong messages can be communicated by exploiting the integrity, or act of cyber terrorism can be performed. Erroneous communication done by attackers can lead to opening of airbags while driving, giving wrong indication of turning of vehicle, which in turn can cause loss of human life, damage to vehicles. ECU's are the easiest target for the attackers to gain access into the vehicle as communication protocols like CAN, LIN, FlexRay, MOST and Ethernet are connected to the ECU's. In this chapter authors would be discussing the Flexray protocol specifications which can be exploited to perform attacks and the corresponding potential security and safety effects of these attacks and propose some futuristic security protections.
Leveraging Big Data and Advanced Technologies for Enhanced Sustainability in Healthcare
Authors: Jayaraj Mary Metilda , Somu Subbulakshmi
Published: December 2024

The convergence of big data and technology is transforming the collection, processing, and application of information in the healthcare industry. It is now crucial to comprehend and manage the enormous amounts of data that are constantly produced from various sources, including wearable technology, medical imaging, and electronic health records (EHRs). This chapter examines the five main characteristics of big data that healthcare companies may use to improve sustainability in patient care and operational efficiency, i.e. Volume, velocity, variety, Veracity and Variability. These elements are integrated into a comprehensive IPO (Input, Process, Output) model, illustrating how they function as input and process components that leads to substantiality. Based on earlier literature and real world scenario, the chapter highlights the importance of cutting-edge technologies in managing the complexity of healthcare data and improving delivery and operational effectiveness.
Real-Time Data Analytics and Decision Making in Cyber-Physical Systems
Authors: Kuwar Vishakha , Sonwaney Vandana , Upreti Shitiz , Ekatpure Shubham Rajendra , Divakaran Prakash , Upreti Kamal , Poonia Ramesh Chandra
Published: December 2024

The future of digital innovation lies in Cyber-Physical Systems (CPS), integrating computational capabilities with physical processes. CPS function as interconnected networks, merging physical and digital inputs and outputs. This study defines CPS and highlights real-time data analytics' role in enhancing communication across industries like manufacturing and robotics. CPS depend on data collection via edge computing, IoT, and sensors, involving data cleaning, preparation, and normalization. Real-time analytics, including stream processing, machine learning, and AI, are crucial for CPS. Decision-making systems and algorithms enhance efficiency. Given their sensitivity, security and privacy in real-time analytics are vital. The study addresses threat detection, privacy preservation, and data security, along with challenges like data heterogeneity, latency, and scalability. Future prospects include edge AI, fog computing, and blockchain integration.
Application of Governance, Risk Management, and Compliance Practices in the Public Service, in Light of the Tam Model
Authors: Oliveira Rômulo Brito , Miranda Luiz Carlos , Pinho Carlos
Published: December 2024

This work's main objective was to study the application of governance, risk management and compliance (GRC) practices at Federal Institute of Bahia (IFBA), based on COSO-ERM, ISO 31000, and PMBOK. The application was carried out from the perspective of the technology acceptance model (TAM) to investigate users' perception of using a GRC system. The study is based on a questionnaire graded on a seven-point Likert scale. This model, originating in studies by Davis in 1986, located a fundamental conceptual framework for understanding how people perceive and adopt new technologies. The results demonstrate the applicability of the TAM model to measure perceived usefulness and ease of use in relation to the use of new technologies. It is also concluded that managers perceive greater usefulness and ease of use than subordinates, in relation to the proposed system. Thus, this study contributes to the development of studies on the GRC theme by systematizing practical implementation guided by international models, evaluating the perception of servers using the system in light of the TAM model.
A Deep Learning-Based Approach for Classification of Tumors From MRI Images Using Brain Nets
Authors: More Sujeet , Singla Jimmy
Published: December 2024

Unique Clinical pictures have a basic impact on the specialist's capability to the right conclusion and in the treatment of the patient. Diagnostic imaging can quickly identify lesions with sophisticated algorithms, and it is essential to glean characteristics from photographs. In a number of studies, algorithms have been incorporated into imaging in medicine using convolutional neural network CNN's fundamental architecture is constructed using picture component extraction. To be able to circumvent the limitations imposed by both machine vision and human vision, the study is extended to include CNN with multiple input channels for feature extraction. This study uses approximately 3300 MRI samples from Kaggle to investigate four classifications: tumors of the pituitary gland, meningioma, glioma, and none. The implemented Brain Net has an accuracy of 98.31 percent and a validation accuracy of 87.80 percent. In order to determine which strategy performed better, deep architectures like Inception Net and Res Net were also put through tests with or without learning through transfer.
Enhancing Pandemic Preparedness With AI-Driven Risk Prediction Models
Authors: Tariq Muhammad Usman
Published: December 2024

This chapter investigates the groundbreaking job of artificial intelligence driven risk forecast models in improving pandemic readiness and worldwide wellbeing security. AI technologies have emerged as essential tools for early detection, risk assessment, and management of infectious disease outbreaks in light of the increasing frequency and complexity of pandemics. The section looks at how computer-based intelligence applications, including AI and high-level information investigation, empower the distinguishing proof of possible pandemic dangers, prescient displaying of infection spread, and enhancement of general wellbeing reactions. The chapter highlights the benefits and drawbacks of incorporating AI into pandemic preparedness strategies through real-world examples and case studies. Privacy and ethical issues are also discussed, with a focus on the necessity of using AI responsibly in public health.
Generative AI Applications for Enhancing Medical Training
Authors: Sial Quratulain , Shah Imdad Ali , Jhanjhi N. Z.
Published: December 2024

The significance of ongoing study and development of AI technology is emphasized as this chapter explores the part and utility of generative AI in medical education and training, examines the difficulties it encounters, and systems unborn development patterns in the medical field. We can have a better understanding of how generative AI is impacting medical education going forward and offering fresh styles for training healthcare workers by reading this thorough review. A branch of artificial intelligence called” generative AI” is concerned with creating systems that can produce original and cultural labors, including textbooks, music, plates, and more. These systems may produce content that mimics mortal-generated content on their own by exercising deep literacy ways, particularly generative models. The interesting field of generative artificial intelligence focuses on creating systems that can singly produce original, creative content. It makes it possible for machines to perform creative and imaginative tasks in addition to further conventional bones. By exercising generative models and deep literacy approaches, these systems may induce innovative labors that nearly mimic mortal-generated content, including literature, music, prints, and more. This system makes it possible to produce creative and original content, making it an effective tool for various uses. Generative models are central to the idea of generative AI. Generative AI enables machines to autonomously induce creative content, similar as images, music, textbooks, and more. This addresses the need for new and different content in colorful disciplines, including art, entertainment, design, and marketing. Generative AI opens new possibilities for creative expression and expands the boundaries of mortal imagination. The possibilities for creative expression are increased, and the limits of mortal imagination are pushed by generative AI. Medical training serves as a means of guaranteeing that the performance of the mortal pool is observed in a realistic and secure setting. Their use of generative AI to produce virtual cases to instruct medical scholars. These realistic clinical scenarios in the simulations were designed to help medical professionals and students make better diagnoses and treatment-related decisions.
Predicting Concrete Strength of Structures Under Deep Sea Using Machine Learning Techniques
Authors: Hema A. , Geetha S. , Karthiyaini S.
Published: December 2024

Concrete is widely acknowledged as the paramount composite construction material due to its versatility and durability. Its properties and characteristics exhibit variability contingent upon environmental conditions. Moreover, altering the proportions of concrete ingredients, significantly influences its strength and performance attributes. Admixtures, compounds to concrete during mixing to modify its properties, play a pivotal role in augmenting concrete strength and enhancing properties. Notably, construction activities conducted in deep-sea environments entail distinct challenges compared to those on conventional land surfaces, necessitating specialized techniques and considerations. Through the integration of sensor data and machine learning algorithms, construction stakeholders can gain valuable insights into the performance of concrete structures in marine settings, thereby ensuring the durability and resilience of infrastructure projects amidst diverse environmental pressures.
Utilizing Single-Shot Multi-Box Detector for Detecting Underwater Benthos in the Marine Benthic Zone
Authors: Chitradevi D. , Jayanthi K. , Prabha S. , Muthukamatchi M.
Published: December 2024

The marine benthic zone is host to a vast array of species that are vital to both ecosystem function and biodiversity conservation. Understanding these underwater communities is essential for ecological research, conservation efforts, and sustainable resource management. However, traditional surveying techniques face significant challenges in the underwater environment. This research extends strategies for underwater biological monitoring by offering a reliable and useful method for detecting benthos in marine benthic zones. Ultimately, by promoting conservation initiatives and sustainable management techniques in marine settings, the proposed Single Shot Detector (SSD) based system may speed up underwater surveys, make data collection easier, and further our knowledge of benthic ecosystems.
Impact of Global Sustainable Practices on Gastronomic Tourism
Authors: Sharma Vikas , Mishra Rajeev R. , Poddar Nitin
Published: December 2024

This paper explores the burgeoning field of sustainable gastronomic tourism through a comprehensive analysis of literature, surveys, and interviews. Findings underscore a rising consumer demand for sustainable dining experiences, driven by heightened awareness of environmental and social issues. Collaboration among stakeholders emerges as pivotal for advancing sustainable practices, despite challenges such as supply chain logistics and authenticity. Government support and policy frameworks play crucial roles in driving sustainability, alongside community engagement initiatives. Ultimately, sustainable gastronomic tourism offers promising prospects for economic growth, cultural preservation, and environmental stewardship, contingent upon prioritizing collaboration, innovation, and community involvement.
Culinary Horizons
Authors: Kumar Manish , Thakur Sanjay
Published: December 2024

As humanity advances into space exploration and tourism, space food plays a crucial role in ensuring the well-being of astronauts and tourists. This chapter examines the evolution, technology, and cultural aspects of space food, highlighting its importance in the context of long-term space habitation and space tourism. It begins with a historical overview of space food, detailing the challenges and milestones in its development from early missions to contemporary advancements. The chapter then explores current innovations in space food technology, including nutritional considerations, food preservation and packaging, 3D printing, and sustainability. Cultural and psychological aspects are also addressed, emphasising the significance of familiar foods for astronauts and the potential for unique culinary experiences in space tourism. Looking forward, the chapter discusses the future of space food, focussing on space agriculture, food sustainability for missions to Mars and beyond, and the broader implications of space food innovations on Earth.
Culinary Heritage of Rajasthan
Authors: Jonjua Mehak
Published: December 2024

Rajasthan, boasts a culinary heritage that is as vibrant and diverse as its history. Rooted in tradition, Rajasthani cuisine reflects the resourcefulness of its people in adapting to the arid desert environment while preserving unique flavors and techniques. This study focuses on the traditional dishes and the cultural stories they tell. It also examines the significance of culinary tourism, where food serves as a gateway to the state's rich heritage. Tourists are drawn not only to Rajasthan's majestic forts and palaces but also to its culinary delights, offering a deeper understanding of the local culture. The chapter addresses the challenges and opportunities in preserving Rajasthan's culinary traditions amidst modernization and changing dietary preferences, highlighting initiatives by local communities to safeguard these traditions for future generations. It emphasis the importance of culinary experiences in showcasing Rajasthan's unique identity and fostering appreciation for its culinary legacy among travelers and enthusiasts.
Empowering Community Through Reviving the Traditional Indian Recipes
Authors: Misra Pankaj , Pandey Anjana
Published: December 2024

India has vast cultures which bear several community's history, values, beliefs and food. Indian food and culture are rich, diverse and deeply interwoven, inseparable and reflecting the country's rich heritage and diversity. History has developed the sense among the people to how important the documenting our culture and heritage. This chapter will investigate the historical significance of Indian traditional food recipes and their role in cultural heritage, explore the factors that contributes to the loss of culinary traditions, highlight the efforts and initiatives aimed at rediscovering and preserving these culinary treasures. illustrate how the revival of lost recipes can contribute to cultural heritage and empowering community. In broader sense this is an effort to empowering the community through preserving the traditional Indian food recipes. In this study data were collected through documents, which were published on digital platform.
Ethical Dining Navigating Cultural Traditions and Modern Sustainability in Global Gastronomy
Authors: Kumar Pradip
Published: December 2024

In the field of gastronomy tourism, the relationship between sustainability and ethics has gained significant attention in recent years. The chapter begins by outlining ethical eating and its significance in the field of gastronomy tourism, emphasizing the fine line that must be drawn between upholding traditional gastronomy customs and implementing sustainable practices. The chapter emphasizes the influence of dietary decisions on the environment and nearby populations by examining ethical consumption, sustainable sourcing, and the growth of plant-based and alternative proteins. It also discusses important topics including animal welfare, food waste, and the role of technology in promoting moral dining habits. The chapter highlights how customers, chefs, and restaurants are addressing these ethical issues to create a more sustainable and responsible dining experience through real-world examples. The chapter also highlights the need for consumer education in encouraging moral decision-making, and the upcoming developments that will influence the ethical dining landscape.
Gastronomy Tourism in Himachal Pradesh
Authors: Kumar Anuj , Nag Ashish , Kumar Vipan , Sharma Pratibha
Published: December 2024

This chapter focuses on Himachali food and sustainable tourism. It examines the diverse culinary landscape of Himachal Pradesh, highlighting traditional dishes, regional specialties. The chapter identifies opportunities in developing food tourism, and the balance between authenticity and tourist expectations. In Himachal Pradesh, every place has special food that can bring in tourists from all over the world. The delicious food and centuries-old culture of the region can be leveraged as key attractions and promotional tools. The research suggests new ways to use Himachal rich food culture to boost the economy sustainably. The research highlights how important it is for local communities to lead tourism development, especially since most of the state's population lives in rural areas. It explores the role of gastronomy tourism in empowering local communities and preserving indigenous knowledge. The study concludes by proposing strategies for sustainable growth that respect local cultures, support local economies, and contribute to responsible tourism practices in Himachal Pradesh.
Preserving Traditional Recipes and Methods in the Culinary World
Authors: Waheed Shazia , Kumar Sanjeev
Published: December 2024

This chapter looks at the need to maintain traditional culinary techniques in the face of globalization and urbanization. These culinary customs have social, cultural, and historical value in addition to providing sustenance. Initiatives like community festivals, digital archiving, and culinary instruction are crucial to reviving traditional traditions in the face of new challenges. The financial advantages of culinary tourism and sustainable practices highlight how crucial traditional food systems are to fostering environmental stewardship and strengthening local economies. In the future, technological developments and cross-cultural exchanges will present chances to highlight the diversity of cuisines around the world and discuss moral concerns about the preservation of cultural traditions. In order to maintain the continuity and resilience of culinary history in a world that is changing quickly, the chapter promotes ethical stewardship of culinary heritage through interdisciplinary research and policy frameworks.
Sustaining Gastronomic Tourism Exploring the Native Culinary Traditions of Haryana and Punjab
Authors: Davar Vinti , Kaur Prabhjot
Published: December 2024

In this chapter, the authors investigate Haryana and Punjab's lively cooking customs highlighting their significance in Sustainable Gastronomic Tourism. It emphasizes on the importance of keeping these traditions alive for cultural heritage maintenance. In addition to that, it has highlighted traditional methods of cooking. The chapter then narrows its focus specifically on Haryana and Punjab discussing the micro-variations within each state. Signature dishes, street food, vegetarian/non-vegetarian specialties and authentic sweets highlight a variety of culinary flavors across these states. It also highlights various ways in which food is linked to festivals with an emphasis on community catering during special occasions. Finally, it considers gastronomy in terms of sustainable practices. The discussion brings out how farm-to-table initiative can be used to promote responsible food production through organic farming for local sourcing hence reducing waste produced during production process.
Unveiling the Dynamics
Authors: Mir Mahmood Hussain , Thaliyan Delma , Senthilkumar K. R.
Published: December 2024

The advent of the intersection of artificial intelligence (AI) and blockchain technology is revolutionizing the financial industry, introducing transformative dynamics and unprecedented opportunities. This study delves into the current state of AI in finance, with a particular emphasis on the integration and impact of blockchain technology. By leveraging a comprehensive dataset that includes financial market data, economic indicators, corporate financial statements, blockchain transaction records, network data, and cryptocurrency metrics, the authors aim to uncover the profound effects and potential of these technologies. The financial data component encompasses historical stock prices, trading volumes, market capitalization.
Comprehensive Education for Librarians
Authors: Jaya K. , Usha M. , K. R. Senthilkumar
Published: December 2024

The rapid advancement of blockchain technology is poised to transform the landscape of information management and library services. This chapter offers an in-depth training program to equip librarians with essential knowledge and practical skills to leverage this groundbreaking technology. This program delves into the core concepts of blockchain, exploring its applications in data security, digital asset management, and transparent record-keeping. By understanding and utilizing blockchain technology, librarians can lead their institutions in adopting innovative practices that align with the digital evolution. This comprehensive education initiative not only demystifies blockchain but also empowers librarians to become pioneers in integrating advanced technologies within the library sector, ensuring they remain at the cutting edge of information management.
Innovating Tamil Nadu's Academic Libraries
Authors: K. Senbaga Priya , Buvaneswari R.
Published: December 2024

This chapter explores the integration of spectral fuzzy graph theory with blockchain technology to enhance academic collaboration networks within digital libraries, with special emphasis on the Tamil Nadu Library system. Fuzzy graph theory is employed to model the uncertainties and varying strengths in academic relationships, while spectral analysis uncovers key collaboration patterns and influential researchers. Blockchain technology ensures the integrity and transparency of stored academic records, using smart contracts to automate verification processes and securely manage permissions. This combined approach optimizes resource allocation, enhances data security, and improves the efficiency of research management, providing a robust framework for fostering collaboration and innovation within the Tamil Nadu's Academic and Library networks.
Geospatial Technologies for Smart Cities
Authors: Jitta Amit Sai , Manda Vijaya Kittu , Tarnanidis Theodore
Published: December 2024

Geospatial technologies, both traditional and modern technologies, have changed the way spatial data is collected, stored, processed, analyzed, and visualized for decision-making in Smart cities. Popular geospatial technologies are geospatial information systems (GIS), remote sensing, and global positioning systems (GPS). Computing technologies have undergone rapid development in recent times. Artificial Intelligence (AI), the Internet of Things (IoT), Big Data, and others are used alongside geospatial technologies for improved decision-making by city planners and administrators. These technologies help Smart cities offer various services to the citizens, promote a circular economy, and be sustainable. Real-time data processing and predictive analytics help proactively manage infrastructure, optimize resource allocation, and enhance overall urban resilience. The chapter is novel in its comprehensive overview of geospatial technologies and data in smart cities, integrating both traditional and modern technologies and emphasizing the significance of geospatial data visualization.
Current Trends, Opportunities, and Futures Research Directions in Geospatial Technologies for Smart Cities
Authors: Manda Vijaya Kittu , Christy Veena , Hlali Arbia
Published: December 2024

Studying current trends and opportunities in geospatial technologies for Smart cities helps city planners and administrators understand technology advancements and aids in better implementation practice. Similarly, understanding future research directions enables researchers and policymakers to harness these technologies fully and anticipate upcoming developments. Overall, this approach supports the creation of more livable, sustainable, and equitable cities for all. This chapter explores the current trends, emerging opportunities, and future research directions. Geospatial AI is supported by several cutting-edge technologies such as IoT, digital twins, and 3D/4D urban modeling. Future geospatial research should use advanced AI models, real-time analytics, and privacy-preserving technologies. Understanding the technologies' ethical and inclusive implementation is essential to support long-term urban sustainability and citizen well-being. Such Smart cities can ensure more sustainable, resilient, and equitable urban environments for future generations.
From Waste to Value
Authors: Al-Romeedy Bassam Samir , Tyagi Pankaj Kumar
Published: December 2024

This chapter explores the transformative potential of adopting a circular economy approach to enhance sustainability in rural tourism. Traditional tourism models, which often follow a linear “take-make-dispose” pattern, contribute significantly to environmental degradation and resource depletion, particularly in rural areas where natural resources are central to the tourism experience. It also investigates how circular economy principles—focused on minimizing waste, maximizing resource efficiency, and creating closed-loop systems—can be applied to rural tourism to address these challenges. By analyzing the economic, environmental, and social benefits of circular practices, this chapter highlights the potential for rural tourism to evolve into a more sustainable and resilient sector. It also identifies the challenges and barriers to implementation, offering strategic recommendations for policymakers, tourism operators, and local communities.
Successful Local Experience in Waste Management of Urban Destination
Authors: Ashipala Daniel Opotamutale , Singh Amrik
Published: December 2024

Solid waste management in Rundu is a major challenge to the residents of Kehemu suburb resulting in significant health hazards to the environment. The purpose of this chapter is to explore and describe the factors contributing to poor waste management in Rundu, Kehemu suburb. In addition, the factors contributing to poor environmental hygiene in Kehemu location was lack of dumping sites, lack of dustbins and lack of refuse removal service. The findings of this study call for well-articulated actions to address the identified factors that are associated with poor environmental hygiene in Kehemu location in Rundu.The study recommends that town council, community empowerment, provision of dustbins, cleaning up campaigns and education and awareness as some of measures to curb town littering.
Honor-Based Violence
Authors: Kim Chunrye , Agrawal Siddhi
Published: December 2024

The chapter provides an overview of the issues surrounding honour killings, particularly in the context of India, and the challenges they pose to human rights and gender equality. It highlights the persistence of traditional gender norms and patriarchal structures that underpin these crimes, leading to the denial of women's autonomy and rights. The abstract discusses the reasons behind honour killings, such as perceived threats to family honour and fear of losing control or power. It also delves into the legal and societal responses to honour killings, including the role of religious and customary laws, as well as the obligations of states under international conventions like CEDAW. The abstract concludes by emphasizing the need for comprehensive legal frameworks, effective law enforcement, and societal awareness to combat honour killings and uphold human rights.
Dishonor, Death, and Coercion in the Arena of Justice
Authors: Roh Myunghoon , Gautam Muskan
Published: December 2024

The term “honor killings” refers to severe forms of domestic violence in which a woman is killed with the help of her family or network. But in non-secular and ethnic societies, spousal violence is sometimes motivated by a sense of “honor.” In this chapter, we contend that a discursive collision occurs between ethicized women. As victims of honor murders, women are hidden behind the non-public/public divide that defined the domestic violence narrative and the cultural relativism of British multicultural discourse. Ethicized women have become more visible after September 11th, but because of the discourse of fear and threat posed by the presence of the Muslim foreign “other,” they are now restricted and shaped in the public consciousness. By adopting a robust human rights stance to respect homicides, it would be feasible to overcome the 'gender trap' of cultural relativism in the liberal democratic debate on diversity.
Effect of Culture-Based Violence on Human Psychology
Authors: Dhamija Aruna , Garg Mugdha
Published: December 2024

In the 21st century, modernization, employment, literacy, and technological advancements have led to acceptance of inter-caste and inter-religion marriages. However, the caste system persists, leading to discrimination and “Honor Killing” or culture-based violence. This chapter explores cultural and psychological factors that motivate such violence, the historical background of this issue, and the influence of “Khap Panchayats” on people. It highlights the impact of this violence on society, its psychological effects, and suggests preventive measures and strategies to help victims.
Consumer Innovation and Sustainability Driving Consumer Behavior
Authors: Sharma Manu , Shah Janmejai Kumar , Gupta Priyanka , Joshi Sudhanshu
Published: December 2024

Consumption is intrinsically linked to sustainability, as decisions regarding what to buy, the quantity of products acquired, the extent of consumption, and the methods of disposal significantly impact the natural environment and future generations, with the cumulative effect of each consumer purchase. The systematic literature review (SLR) utilised the Theory, Context, Characteristics, and Methods (TCCM) framework on107 peer-reviewed research publications were identified by methodologies utilising scientific platforms accessed from the Scopus database between 2013 and 2023. The aim of the study is to provide (i) a comprehensive synthesis of existing research findings, and (ii) a thorough delineation of prospective research directions. A total of The results indicated that the majority of the studies employed qualitative research paradigms and were based in China and Italy. This review aims to enhance researchers' comprehension of the relationship between consumer innovation and sustainability, potentially facilitating additional research and advancements in this domain.
A Study in Understanding the Critical Factors Influencing the Markers in Implementing Neuromarketing Concepts in Understanding Consumer Behavior
Authors: Reepu  , Kumar Manish
Published: December 2024

Marketers in current business environments invest large amounts of money in understanding customers' needs and requirements; for this purpose, they use novel tools like artificial intelligence, the Internet of Things, big data analytics, and other technological tools. However, Neuromarketing is one innovative method that has gained more attention, and it is mainly involved in understanding the brain's response towards marketing and advertisement campaigns. Customers are confronted with an overwhelming number of advertisements, products, and services in today's market, which can be confusing. Organizations that are interested in modifying their tactics should have an understanding of the factors that influence the decisions that customers make and the mechanisms that shape their responses to marketing initiatives. Surveys and focus groups, two classic marketing research methods, rely on self-reported data, which can be biased and cannot adequately discover the essential elements that influence consumer behaviour.
Influence of Digital Platforms on Consumer Behavior
Authors: Jha Ashish Kumar , Rana Shilpi , Singh Mansi , Upadhyaya Sunil
Published: December 2024

Digital platforms have fundamentally transformed consumer behavior, reshaping traditional business models and fostering new consumption patterns. This chapter explores the evolving relationship between digital platforms and consumers, highlighting the key forces driving this change. Central to the discussion is the shift from ownership-based models to Product-as-a-Service (PaaS), where access and recurring services replace conventional one-time purchases. Digital platforms, such as Netflix, Spotify, and Airbnb, have leveraged data analytics and personalization technologies to predict and influence consumer preferences, promoting greater engagement and long-term loyalty.
Determinants of Tourist Preferences
Authors: Dubey Neha , Guleria Sandeep
Published: December 2024

This research explores the evolving dynamics of tourist preferences between online travel agents (OTAs) and traditional travel agents (TTAs) in the era of digital consumerism. By analysing current affairs and real-world case studies, the study examines vital determinants such as convenience, trust, price sensitivity, and personalization that influence consumer choices. It highlights how technological innovations, including AI, mobile applications, and user-generated content, are shaping modern tourist behaviour while traditional agents adapt by focusing on personalised, high-end services. The findings provide insights into the future trajectory of the tourism industry, offering a comparative analysis of both models and their respective roles in the evolving digital ecosystem.