bluuebunny/crossref_metadata_2025 huggingface dataset:
Web of Things for Smart City System
Authors: Choudhary Vishal , Kumari Seema , Sharma Reena
Published: August 2024

The major changes in connecting things to the Web started around 2000. Thereafter, the main interest in implementation of the Internet of Things (IOT) given main focus about the application layer. IoT is rapidly changing world for the better. This motivated vision represents a world where public, vehicle, buildings, and physical objects are interconnected to form a single unified network. Buildings, lighting systems, cars, and anything and everything in between can generate and share data with each other. The Web protocols like HTTP, FTP, SMTP etc. plays a major role to realize the goals of Web of things. These protocols are universal way to illustrate images, text, and other media elements in a way that machines can “recognize.” This idea of the Web of things as an application layer protocols appeared in early 2007.
Unravelling the Conversational of IoT Web Using ML and AI
Authors: Kumar Ajay , Sachdeva Gauri , Gupta Priyanka
Published: August 2024

This chapter delves into the realm of chat bots, exploring their evolution, applications, and impact on various sectors. Through an in-depth analysis, it aims to provide insights into the technological advancements, challenges, and future prospects within the field of conversational agents. The traditional education system faces several issues, including overcrowded classrooms, a lack of personalized attention for students, varying learning paces and styles, and the struggle to keep up with the fast-paced evolution of technology and information. As the educational landscape continues to evolve, the rise of AI-powered chatbots emerges as a promising solution to effectively address some of these issues. Consequently, a substantial body of academic literature is dedicated to investigating the role of AI chatbots in education, their potential benefits, and threats. Chatbots are programs that mimic human conversation using artificial intelligence (AI).
The Synergy of 5G and IoT Integration for Optimizing Supply Chains
Authors: George Chinnu Mary , Menon Santhosh , Babu Sharon Luke
Published: August 2024

The chapter examines how supply chain management could be transformed by 5G and IoT technologies. It demonstrates how real-time data transmission and processing from IoT devices is made possible by 5G's high-speed, low-latency connectivity, which improves supply chain responsiveness and efficiency. The chapter also covers the obstacles that come with integrating 5G and IoT in supply chains, including infrastructure investment, data management, and cybersecurity. It offers a thorough manual on how companies may use these technologies to optimize supply chains, looking at the strategic ramifications and potential applications.
Edge Intelligence Paradigm Shift on Optimizing the Edge Intelligence Using Artificial Intelligence State-of-the-Art Models
Authors: Chandrasekaran Saravanan , Athinarayanan S. , Masthan M. , Kakkar Anmol , Bhatnagar Pranav , Samad Abdul
Published: August 2024

Edge AI changes data processing (EI) strategy incorporating powerful AI capabilities directly at the network's edge, where devices and sensors gather data. This convergence solves cloud-centric AI's latency and bandwidth challenges by enabling real-time analysis and decision-making. Three paradigm-shifting effects of edge intelligence include localized processing allowing real-time data analysis and quick responses. Second, minimizing large-scale data transfers to centralized cloud services greatly minimizes latency. Third, edge intelligence's distributed architecture reduces centralized system demand, boosting infrastructure resilience and scalability and enabling new developments. Imagine smart cities using edge-based analysis to enhance traffic flow or autonomous cars making quick sensor-based choices. Data at the network edge needs security. AI algorithms must work on low-resource edge devices. Edge intelligence can solve these issues and enable near-instantaneous network decision-making, changing numerous industries. Edge computing (EC) solved this problem by moving processing closer to data sources, but edge intelligence introduced AI at the network edge. This unique solution uses AI to increase edge device capabilities beyond data processing. A network edge device can learn, decide, and infer in real-time with EI. Integration reduces latency, boosts efficiency, and empowers intelligent devices. This chapter covers the need for solid EI infrastructure and cutting-edge AI models to optimize the edge device (ED). AI's astounding results in numerous fields have inspired EC researchers to investigate its potential, particularly in machine learning (ML), a fast-growing discipline of AI. This chapter defines EC and explains its popularity. EC's fundamental issues and flaws in traditional methods are then examined. This chapter shows research on optimizing EC and applying AI within the EC framework for different areas to stimulate new research lines that exploit AI and EC's synergy.
Deep Learning-Powered Intrusion Detection Systems Networks Using LSTM
Authors: Sharath T. , Muthukumaravel A.
Published: August 2024

Novel methods for intrusion detection systems (IDS) are essential to safeguard network environments against cyber-attacks effectively. Traditional intrusion detection systems struggle to handle modern cyber threats due to their complex patterns. This study suggests implementing an intrusion detection system that utilizes long short-term memory (LSTM) networks to tackle this issue. Identifying network traffic patterns with temporal correlations poses a challenge for intrusion detection systems (IDS) due to limitations in current models. When dealing with sequential data like flow timings, packet sizes, and protocol specifics, it is essential to have a model that can analyze changing patterns in real time. The dataset CSE-CIC-IDS2018 serves as the foundation for this study, containing a wide range of important characteristics essential for thorough evaluation. It is essential to have an intrusion detection system (IDS) that can adapt to new network behaviors, protect user privacy, and address emerging cyber threats, as mentioned in the problem statement. The proposed LSTM-based approach enables us to address these challenges and adapt innovatively and dynamically to the constantly evolving cybersecurity threats.
Fault Tolerance and Disaster Recovery in Cloud-Based Systems
Authors: Choppadandi Ashok , Kaur Jagbir , Kumar Pradeep , Nakra Varun
Published: August 2024

Cloud computing has emerged as a dominant online resource and service delivery paradigm. While cloud computing offers numerous benefits, such as scalability, flexibility, and cost-effectiveness, it also introduces new challenges related to fault tolerance and disaster recovery. The chapter explores the concept of fault tolerance and disaster recovery in cloud-based systems, examining the various techniques and strategies employed to ensure system availability, data integrity, and business continuity during failures or disasters. The chapter discusses the faults in cloud environments, including hardware failures, software bugs, network outages, and human errors. The chapter then delves into fault tolerance mechanisms, such as redundancy, failover, and load balancing, and their implementation in cloud architectures. Furthermore, the chapter explores disaster recovery strategies, including backup and restore procedures, data replication, and failover to alternate sites. Additionally, the chapter examines the role of cloud service providers in ensuring fault tolerance and disaster recovery and the challenges and best practices associated with these critical aspects of cloud computing. Through this comprehensive analysis, the chapter aims to provide a valuable resource for researchers, practitioners, and organizations seeking to enhance the reliability and resilience of their cloud-based systems.
Fusion Techniques in AI for Enhanced Action and Gesture Understanding
Authors: Gandhi M. , Banu M. Shagar , Kumar R. Mahesh , Anand P. , Nagarajan A. , Velmurugan Palanivel Rathinasabapathi
Published: August 2024

Gesture and action recognition are pivotal components of many AI-driven applications, from immersive virtual gaming experiences to critical healthcare monitoring. This comprehensive study dives deep into the world of fusion techniques that amalgamate data from multiple sources and modalities, aiming to significantly enhance AI's proficiency in understanding the intricacies of human actions and gestures. The need for improved accuracy and robustness in action and gesture recognition has never been more pronounced. Traditional standalone methods often struggle to capture the richness of human movements and expressions in real-world scenarios. The research is dedicated to addressing this limitation through the integration of diverse data sources. The findings, grounded in rigorous experimentation, demonstrate substantial improvements in accuracy and robustness compared to conventional standalone approaches. By fusing data from various modalities such as video, audio, and sensor data, the AI systems are better equipped to interpret complex human actions and gestures holistically. This breakthrough has profound implications for applications ranging from virtual reality gaming, where natural gestures enhance user immersion, to healthcare, where the precise monitoring of patient movements is critical. The fusion techniques presented in the chapter boost accuracy and enhance the adaptability of AI systems across different contexts and environments. This adaptability is crucial for integrating AI technologies into our daily lives, where interactions can be dynamic and multifaceted. The research illuminates the path forward for AI-driven action and gesture understanding. The chapter paves the way for more intuitive and efficient AI systems by harnessing fusion techniques that embrace diverse data sources and modalities, ultimately enhancing user experiences and enabling the broader adoption of AI in various domains.
Skin Symphony on Deep Learning Echoes in Melanoma Prediction
Authors: Packiamary M. , Muthukumaravel A.
Published: August 2024

This chapter approaches the crucial problem of accurate melanoma diagnosis by employing cutting-edge deep learning techniques. Globally, melanoma stands as the primary cause of newly diagnosed cancer cases, underscoring the importance of early detection. Given the constraints of current diagnostic techniques, this study presents an innovative, enhanced, and accurate methodology for evaluating the risk of melanoma. Diagnosing melanoma in its late stages would have catastrophic repercussions, which would require a paradigm shift in diagnostic approaches. The proposed methodology effectively differentiates benign from malignant tumors through the implementation of convolutional neural networks. The study's implications transcend the boundaries of academia, as it has the potential to significantly transform clinical practices and alleviate the workload of healthcare providers. When evaluated using a dataset comprising various dermatoscopic images, the model attains an exceptional accuracy rate exceeding 99%. This study represents a notable advancement in the application of deep learning techniques to enhance the diagnosis of melanoma, thereby demonstrating the potential ramifications of the model on healthcare systems worldwide.
Predicting Child Mortality With Diverse Regression Algorithms Using a Machine Learning Approach
Authors: Ashwini C. , Bose S. Rubin , Padmavathy M. S. Deepika , Raj Calvin , Ajay J. Chalwin
Published: August 2024

This chapter uses machine learning methodologies to investigate the prediction of child mortality rates for ages 1-4 across diverse countries. Drawing upon a comprehensive review of global health data from organizations such as the World Health Organization (WHO) and the United Nations Children's Fund (UNICEF), which highlight the urgency and significance of accurate child mortality prediction, the authors analyze a dataset spanning from 1967 to 2019, containing 30,940 entries from countries worldwide. Regression algorithms, including XGBoost, CatBoost, Random Forest, AdaBoost, and DecisionTree Regressor, are employed to predict child mortality rates. Evaluation metrics such as R^2, adjusted R^2, mean absolute error (MAE), mean squared error (MSE), and root mean squared error (RMSE) are utilized to assess model performance. Additionally, Matplotlib and Seaborn use visualization techniques to illustrate the findings through pie charts and graphs. The analysis aims to identify the most effective algorithm for accurately forecasting child mortality rates, thereby contributing to advancing healthcare planning and intervention strategies to reduce child mortality globally.
Interpretable Machine Learning Models for Human Action and Emotion Deciphering
Authors: Singhal Sangeeta , Kotagiri Anudeep , Samayamantri Laxmi Srinivas , Rajest S. Suman
Published: August 2024

Interpretable machine learning models have gained significant attention in recent years due to their ability to provide insights into complex decision-making processes. This chapter explores the application of interpretable machine-learning models for deciphering human actions and emotions. The authors propose a novel framework that combines state-of-the-art machine learning techniques with interpretable model architectures to enhance our understanding of human behaviour. A comprehensive literature review highlights the significance of interpretable models in various domains, such as healthcare, psychology, and human-computer interaction. They present a detailed methodology for data collection, preprocessing, feature extraction, and model training. The results demonstrate the effectiveness of interpretable models in accurately classifying and explaining human actions and emotions. They provide insightful discussions on the implications of the findings, identify limitations, and propose avenues for future research. Overall, this research contributes to developing interpretable machine-learning models that can enhance our understanding of human behaviour and emotions.
Environmental Sustainability in Entrepreneurship Ecosystems
Authors: Vargas-Hernandez José G. , González-Àvila Francisco J. , Rodriguez-Maillard Carlos A. , Vargas-González Omar C.
Published: August 2024

This study analyzes the implications of institutional environment and sustainability on entrepreneurship ecosystems. It is assumed in a complex, uncertain and turbulent institutional environmental sustainability affects the development of national, regional, and local entrepreneurship ecosystems. The method employed is the meta-analysis and reflective based on the theoretical, conceptual, and empirical review of the literature. It is concluded that the institutional environmental sustainability influences the national, regional, and local entrepreneurship ecosystem.
Integrating ESG Principles Into Corporate Governance for Sustainable Ecosystem Services
Authors: Tariq Muhammad Usman
Published: August 2024

This chapter aims to review the justification for the necessity and incorporation of environmental, social, and governance (ESG) factors in the corporate governance system to enhance sustainable ecosystem practices. Sun's article starts by explaining the notation of the ESG criteria and their relation to sustainable business, stressing their applicability to the companies' environmental hazards and general endurance. Several frameworks and models for implementing the ESG principles into organizations' strategies are discussed, which include the Strat Pad and In It for Life strategies adopted by Unilever and Danone, respectively, as well as examples of regenerative agriculture and circular economy practices.
Comparison of University Motivation in Traditional and Flipped Methodologies With New Technologies
Authors: Giles Pérez María Fernanda , Alfonso-Torreño Alberto , García María José Merchán , Velarde Jacinto Garrido
Published: August 2024

This study investigated the influence of different educational methodologies on the motivation of higher education at the Faculty of Education and Psychology in Badajoz. Two distinct pedagogical approaches were used: traditional methodology and a reverse methodology supported by new technologies. The research focused on two groups of third-year students in the primary education degree program. To measure motivation, the Spanish adaptation of Christophel's State Motivation Scale, a recognized psychometric tool, was used. The results revealed that, contrary to expectations, there are no significant differences in motivation levels between students subjected to the two different methodologies. This suggests that student motivation was not substantially affected by the type of methodology used. These findings have important implications for the design of educational programs, suggesting that the choice of a pedagogical methodology should consider aspects beyond student motivation.
Organization's Ethical Behavior
Authors: Amah Okechukwu Ethelbert , Okesipe Victoria Oluwakemi
Published: August 2024

Corporate social responsibility (CSR), a competitive tool for organizations, is a key value driver of ethical behavior that influences employee behavior. When organizations embrace CSR initiatives, they signal a commitment to societal and environmental concerns beyond profit maximization. This commitment promotes a culture where employees feel a strong sense of purpose beyond their job roles. This chapter explores the intricate interplay between organizational ethical behavior, corporate social responsibility (CSR), and employee behavior (EB). This chapter utilizes a theoretical framework, supplemented by exploring related publications to drive its discussion. Drawing upon theoretical frameworks such as signaling, social identity, and social exchange theories, this chapter examines how organizations communicate their values and priorities to employees. It also explores how employees' identification with their organizations influences their behaviors. In exploring the link, practical implications such as benefits, challenges, and considerable ideas for implementing CSR practices were discussed.
Never Have a Personalized Mug
Authors: Callison Kori , Schultz John
Published: August 2024

Corruption is a major concern that impacts organizations at international, national, and local levels. This chapter delves into the components of corruption, investigates factors that can leave organizations vulnerable to corruption, provides notable examples of corruption, and suggests mitigating factors, ethical leadership and ethical culture, that can reduce and/or prevent corruption from taking place. Framing corruption as an ethical dilemma allows organizational risk factors and economic pressures to be examined and highlighting corruption as a real and pressing threat adds to the morality and social responsibility literatures.
Responsible Artificial Intelligence (AI) Governance
Authors: Kaur Jaspreet
Published: August 2024

The study explores the need for ethics as a fundamental component of AI systems' management in business environments. It calls for better approaches to the development of AI governance that should go beyond following the legal requirements but incorporating ethical practices that would improve AI transparency, accountability, and fairness. The study addresses core questions as to how biases can be avoided, how privacy can be protected, and how AI can be made to reflect human values. It serves specific guidance and recommendations for business managers to guide organizations on how to ethically contend with the challenges posed by AI and on how to restore public trust and unleash the power of AI.
Ethical Obligations and Organizational Silence
Authors: Kaur Jaspreet
Published: August 2024

Through the use of critical analysis, this study investigates the intricate relationship that exists between moral obligations and the lack of communication that exists within healthcare settings. In spite of the fact that the principles of beneficence, non-maleficence, autonomy, and fairness serve as ethical standards, there is still a certain amount of silence within organisations due to variables such as fear, hierarchy, and cultural norms. In order to overcome the problem of silence, it is vital to have a strong commitment from leadership, to undergo a culture revolution, and to communicate and communicate well. Due to the fact that silence can have adverse repercussions on patient safety, the quality of treatment, and the well-being of personnel, this is a crucial point to make. The findings of this study emphasize the significance of taking preventative actions in order to foster creativity, accountability, and openness within the organization.
Dynamics of Linkages Between Gender Equity and Economic Growth
Authors: Gupta Meenakshi , Devi Arti
Published: August 2024

As promoting Gender equality is one of the SDG, so the present study focuses on the relationship between economic growth and gender equity among other controlled variables across a group of countries including Brazil, India, China, Indonesia, South Africa and Saudi Arabia. The research makes use of panel data analysis employing fixed effect model. The study found that increased female-to-male population ratios, greater education levels and GDI are all found to have positive associations with GDP. On the other hand, the study highlighted that there is an inverse relationship between GII and GDP indicating that higher level of gender inequality in the study area is associated with lower level of economic growth. So, promoting gender equality can lead to more inclusive growth. The study highlights the potential for gender equality and increasing female labor force participation to promote economic growth and sustainability in the nations that were analyzed.
European Neo-Nationalism and Worldview Paradigms of Far-Rights Political Women (Giorgia Melloni, Marine Le-Pen, and Alice Weidel)
Authors: Jijeishvili Ketevan , Chkhikvishvili Giorgi
Published: August 2024

The process of women's involvement in politics is an indicator of the development trend of a progressive, civilized society. In recent decades, the EU has made significant progress in terms of gender equality. In 2020, an ambitious strategy for gender equality (2020-2025) was adopted, which aims to create a Europe where gender equality is the main rule. In European countries, the process of feminization of politics has begun - the so-called “Deliberative Democracy” is becoming more and more popular, and the core principles are equality in the political sphere and rejection of pure male representation during the redistribution of power. Politics, which in the recent past was considered a man's sphere, has become the focus of many women's lives today.
Gender Analysis of Governance and Financial Management in Higher Education Institutions of Ukraine
Authors: Shofolova Nataliia , Orzhel Olena , Tryma Kateryna
Published: August 2024

Higher education institutions are to play an important role in Ukraine's postwar revival as knowledge institutions equipped with knowledge and skills required for EU membership preparation, economic modernization, recovery of territories devastated by war, restoration of social justice. To properly implement their social mission, Ukrainian HEIs are to update their financial governance system allowing for more gender balance. The paper investigated the organization of financial governance, distribution of roles in financial management between men and women, women representation in university governing bodies at ten Ukrainian HEIs that differ in size, profile, and location. The findings revealed absence of gender parity in university governance; dominance of men in university governing bodies and institutional leadership positions (as Heads of HEI and Deputy Heads), while the staff of financial management structures (Accounting and Financial Divisions) is overwhelmingly female. Gender disbalance may limit the capacity of Ukrainian HEIs to take effective financial decisions.
Georgian Female Actors of the Second Half of the 19th Century and the First Three Decades of the 20th Century
Authors: Otkhozoria Nino , Modebadze Irakli , Tchitanava Irakli
Published: August 2024

This article explores the significant contributions of Georgian actresses in the second half of the 19th century and the first 30 years of the 20th century, highlighting their roles in the evolution of Georgian theater and opera. It examines the challenges they faced within a patriarchal and colonial context and their efforts to assert cultural identity and sovereignty. Through a feminist and postcolonial lens, the article analyzes the achievements of key figures such as Mariam Safarova-Abashidze, Nato Gabunia-Tsagareli, Olga Bakhutashvili-Shulgina, and others, who pioneered new paths in artistic expression and cultural representation. Their legacy endures, inspiring future generations and advocating for gender equality in the arts. This exploration underscores the transformative power of art and the enduring spirit of women in shaping cultural identities.
Technologies for Managing an Educational Institution
Authors: Krokhmal Nataliia , Myroshychenko Serhii
Published: August 2024

The chapter aimed to investigate the classification of technologies of managing educational institutions on the basis of five groups of functional processes, inherent to every organization, such as: production; marketing; finance; human resources (HR) management; accounting and analysis of business activities. Based on the analysis of the concept of «technology of management of the educational institution», its components, structure, stages of formation and implementation of the technology are described, and criterion of formation of the classification of technologies of managing the educational institution is substantiated. It is noted that classification of technologies of managing the educational institutions should take into account the current state, conditions and processes occurring in external environment and affect the functioning of the internal environment of the educational institution. One of this factors is implementation of genger equality.
The Role of Gender in Policy Implementation on the Example of the Education and Health Sector of Georgia
Authors: Kilasonia Zhaneta
Published: August 2024

This article examines the role of gender in policy implementation within the health and education sectors in Georgia. Through a comprehensive analysis of policy documents, interviews, surveys, and focus group discussions, this study aims to uncover the gender dynamics influencing policy processes and outcomes. The findings reveal persistent gender disparities in access to services, representation in decision-making, and the effectiveness of gender-sensitive policies. The article underscores the importance of integrating gender perspectives into all stages of policy development and implementation to promote equity and ensure inclusive and sustainable development in Georgia. By shedding light on the intersection of gender and policy implementation, this research contributes to the broader discourse on gender equality and sustainable development. It calls for a concerted effort from all stakeholders to create a more just and inclusive society where gender does not dictate access to opportunities and resources in the health and education sectors.
Women's Participation in Political Processes in Georgia
Authors: Manchkhashvili Maia
Published: August 2024

This chapter of the book deals with the role of women in Georgian politics as one of the powerful tools for determining the level of development of the country and its importance in the development of the social and cultural spheres of the society. Also, in this chapter we will touch on the stereotypes that characterized the reality of Georgia and characterizes it even today and the possibilities of overcoming them. The paper discusses various examples of women's participation in Georgian politics, starting with the so-called from the period of the First Republic - 1918-1921 - than until today. Also, we will discuss the issues of their work, real engagement and existing challenges in decision-making positions in state agencies at the modern stage. Also, changes in the legal framework: we will analyze how the law on women's rights is changing, what regulations have been established and how the reality is changing in this regard in Georgia.
Exploring the Role of AI-Powered Virtual Assistants in Optimizing Self-Service Experiences for Customers Within the Service Sector
Authors: Ansari Amjad Imam , Singh Amrik , Pattanaik Subhra , Patnaik Ritwik , Suryawanshi Utkarsh
Published: August 2024

Artificial intelligence (AI)-powered virtual assistants (VAs) that provide customers with effective and customized self-service experiences have completely transformed a number of industries, most notably the service industry. This study examines how AI-powered virtual assistants can improve consumer interactions in the service industry. The chapter first explores the basic ideas behind artificial intelligence (AI) and virtual assistants, explaining how AI algorithms help virtual assistants understand, pick up on, and adjust to human requests and actions. It then looks at how important self-service experiences are in today's service environment, emphasizing how consumers are becoming more and more interested in rapid, easy, and customized fixes.
Redefining Horizons
Authors: Mitra Ananya , Dey Anwesa
Published: August 2024

This study examines the impact of the internet on India's tourism and hospitality sectors, focusing on how digital advancements have transformed operations, customer experiences, and market dynamics. The research will involve a literature review, interviews with industry experts, and data analysis to identify challenges and opportunities. Key impacts include online booking systems, digital marketing, customer reviews, and IoT and AI integration. These advancements have improved customer satisfaction, personalised services, and operational efficiencies. However, challenges like regulatory hurdles and cybersecurity concerns need to be addressed. Social media platforms and mobile applications have transformed the marketing and delivery of tourism and hospitality services in India, leading to increased competition and innovation. This chapter offers an in-depth assessment of the impact of internet-based tools and services on India's tourism and hospitality sectors, focusing on technological evolution, tourist experiences, and government initiatives like the digital India programme.
Customer Retention in the Fitness Area
Authors: dos Reis Felipa Lopes , Pimentel Helena LDR
Published: August 2024

With the growth of the fitness market in Portugal, there is a constant need on the part of gym managers to understand how it works in order to be competitive. Capturing new customers and keeping them has become a permanent concern. Thinking about this reality, the present study intends to collaborate to clarify the problem of customer retention. For this, hypotheses were developed to verify whether the quality of service, the social environment, global satisfaction, price perception and the average weekly attendance of a member influence their retention at the Gym. This quantitative investigation was carried out at My Gym in Lisbon where, after applying questionnaires, a sample of 84 respondents was obtained. The analysis of the results allowed us to verify that overall satisfaction and the quality of the services provided have a strong impact on retention. It was also possible to observe that there is a new profile of people who see the gym as a way of socializing and, therefore, the social environment has a positive influence on retention. Price perception is an important dimension when choosing a gym, however it does not influence retention as well as the number of times a member attends the gym.
Developing a Performance Management Support System
Authors: Sheffield Matthew
Published: August 2024

Hidden disabilities such as ADHD, depression, and dyslexia produce unique challenges that significantly reduce employee productivity. The hidden nature of the disabilities lends itself to the issues and difficulties not being recognized, and subsequently not receiving the support and accommodation needed from their work environment to be successful. Creation of a work climate that is supportive, inclusive, and engaging requires companies to execute strategies to accommodate employees with hidden disabilities. Research identified methodologies of customized accommodation in the form of flexible work schedules, workspace enhancements, assistive technology, and psychological service availabilities substantially improved both employee performance and happiness. Implementation of successful accommodation strategies aligns with regulatory compliance with the Americans with Disabilities ACT (ADA) as well as drives a culture of engagement, respect, and inclusivity.
Developing a Diversity and Inclusion Performance Management Strategy
Authors: Howell Jr. Brad
Published: August 2024

This chapter examines the critical diversity and inclusion challenges at VitalTech Health Systems, a leading healthcare provider dealing with significant underrepresentation of African-American and Latino-American employees and women, alongside rising discrimination and sexual harassment complaints. VitalTech has reassessed its strategic objectives, emphasizing a comprehensive Diversity and Inclusion Performance Management Strategy. This includes setting explicit diversity goals for managers, introducing supportive policies, and implementing effective evaluation processes to monitor progress. The chapter discusses the importance of integrating diversity and inclusion into the organization's core ethos to create an inclusive workplace that reflects its diverse client base, ensuring long-term success and ethical commitments. Applying theories of leadership, organizational culture, and change management outlines VitalTech's efforts to foster a workplace that promotes diversity and inclusion, aligning with its broader corporate values and operational goals.
Leadership Ethics
Authors: Iacobelli Alphons A.
Published: August 2024

Evidence of ethical organizational leadership is becoming increasingly rare, and without witnessing ethical leadership, the standards of organizational ethics cannot occur, let alone be sustained. The ethical orientation of an organization's culture is defined as the values, norms, and guidelines for enforcing ethical standards. In essence, the ethical climate of an organization's culture shapes ethical decision-making processes and the behavior that supports those processes. The following case study examines the ethical violations of a hypothetical legacy automotive company that recently agreed to deferred prosecution agreements with several government agencies The case study references supporting scholarly literature that evaluates the correlation between senior leadership and the organization's culture. It provides advanced knowledge in Enterprise Risk Management (ERM), change management theory, and innovative solutions to remediate a severely compromised organizational ethical climate and prevent its recurrence.
Impact of Artificial Intelligence on the Tourism Industry
Authors: Mukunda B. G. , Sahoo Shwetasaibal Samanta
Published: August 2024

In technology-driven times, artificial intelligence technology is one of the most innovative inventions that have revolutionized various industries across the globe. Marketers provide the virtual journey to the customers into the hotels and tourism spots by partnering themselves with the hotels, and tourism destinations. The purpose of this study is to highlight the role of artificial intelligence (AI) in the tourism industry in India. The various technologies are being integrated to improve the service and customer experience in tourism. The expected changes and challenges in tourism in the future are focused in this chapter. The findings of the study reveal that AI offers travel services that are automated, customized, and insightful. Tourism marketers' also see a positive and improved change that will enhance the tourists' overall experience due to the application of AI. The chapter discusses the application and role of AI and Robotics with the help of relevant industry examples and theory. The study is exploratory in nature and relies upon survey of relevant literature.
Safety First
Authors: Semwal Rajeev , Tripathi Nandita , Tyagi Pankaj Kumar
Published: August 2024

AI is changing security and risk management by improving threat detection, analysis, and response. AI-driven solutions uncover complicated patterns and anomalies using machine learning, deep learning, and natural language processing, outperforming conventional approaches. AI adoption in this industry raises ethical and privacy issues, including algorithmic bias and data privacy. AI combined with IoT and blockchain may improve security by analyzing data in real time and ensuring data integrity. Darktrace and PayPal's AI implementations show their real-world efficacy. Future developments imply quantum computing and federated learning integration for more resilient and private AI systems. To appropriately use AI, ethical issues, transparency, and human supervision must be addressed. AI has the ability to improve security and risk management, protecting against an expanding threat environment while requiring strict ethical and privacy considerations.
The AI Revolution Is Reshaping the Hospitality Industry
Authors: Saini Kapil , Renu
Published: August 2024

Rapid AI adoption is revolutionizing the hospitality industry. This study examines how artificial intelligence (AI) is altering the hotel sector, focusing on guest experiences, operational efficiency, and revenue management. This research study examines the current and future state of artificial intelligence (AI) in the hospitality business by synthesising academic research, industry reports, and case studies. AI-powered chatbots, virtual assistants, and personalized suggestions are changing hospitality. These AI-powered technologies improve customer service, speed up bookings, and give visitors customized experiences. AI is also improving hotel operations like energy usage, inventory control, and housekeeping scheduling, saving money and time. This study examines how AI has transformed hospitality revenue management, guest experiences, and operational efficiency. Understanding current trends and adoption challenges can help hospitality stakeholders use AI to innovate and compete in the fast-changing industry.
The Role of Artificial Intelligence in Optimizing Energy Efficiency in Eco-Friendly Hotels
Authors: Bakshi Neetesh , Singh Ajit Kumar
Published: August 2024

The present chapter investigates the critical function of Artificial Intelligence (AI) in augmenting energy efficiency in environmentally conscious hotels. It investigates how AI technology and sustainable practices interact in the hospitality industry, with an emphasis on how to best use them to reduce energy use and improve operational efficiency. The chapter explains the many AI-driven solutions used in eco-friendly hotels, such as smart energy monitoring systems, predictive analytics, and autonomous control mechanisms, by drawing on a thorough examination of the literature and case studies. The chapter highlights the transformative potential of AI interventions in achieving considerable reductions in energy usage while maintaining guest comfort and satisfaction by examining their impact and efficacy. In order to promote a more environmentally conscious and sustainable hospitality sector, it also addresses potential future directions and suggestions for utilizing AI to further advance energy efficiency goals in eco-friendly hotel establishments.
Travel Industry and AI Trends
Authors: Baburao Chirra , Manjushree Paruchuru , Mavuri Sudha , Raju Indukuri Bangar
Published: August 2024

This chapter examines the transformative role of artificial intelligence (AI) in the travel industry post-2024, focusing on its application across various travel phases. It highlights AI's potential to enhance personalization, efficiency, and sustainability in travel experiences. The study utilizes a comprehensive methodology integrating data from literature and expert opinions to analyze emerging AI trends and their entrepreneurial opportunities and proposes a conceptual framework. Ethical considerations and the need for responsible AI development are also discussed, emphasizing user privacy and secure data practices. The chapter concludes with the significant impact of AI in revolutionizing travel, calling for continued investment and ethical development to ensure a sustainable and connected industry future.
The person behind the therapist: a recall study on significant events that contribute to therapists’ personal and professional development
Authors: De Condé Hubert , Zech Emmanuelle , Willemsen Jochem
Published: August 2024

This study explores the interconnexion between personal and professional development in therapist growth. This research examines a self-integrated perspective on training, by looking at the equal importance of nurturing personal development alongside professional skills cultivation. The study uses the concept of Significant Events (SE) which was originally developed to understand client change processes and applies the concept to investigate the development of the person-of-the-therapist. SE is events that are experienced in the therapy process and that are experienced by the client as being helpful or hindering for therapeutic change. Similar to the process of therapy, professional development is not a linear process of acquiring skills and knowledge but a discontinuous process that is driven by SE. The goal is to explore transformative moments in therapists' development. 281 participants completed an online questionnaire, evaluating: i) ) personal events (physical and mental health, interpersonal relationships, exploring the world, losses and deaths), ii) professional events (training, clinical experiences, relationship with colleagues, challenges due to work position), and iii) hybrid events where personal and professional aspects intertwine (personal therapy and societal context inducing insecurity). Findings suggest a more integrated self in personal and professional development. The study contributes to ongoing discussions on professional development, revealing the interplay between personal and professional spheres of therapists.
Geospatial determinants of health: A global surgery lens
Authors: Isiagi Moses , Zolo Yvan , Maswime Salome
Published: August 2024

Global surgery represents an emerging interdisciplinary field dedicated to enhancing health outcomes and promoting health equity by addressing the unmet need for surgical, obstetric and anaesthesia care, especially among underserved populations and those facing crises. This field focusses on improving access to equitable and comprehensive surgical care and strengthening healthcare delivery systems. The Lancet Commission on Global surgery of 2015 emphasises the importance of safe, timely, affordable and universal access to surgical care, highlighting the ease of reaching a surgical provider and receiving prompt and appropriate care as crucial components of timely access. Geospatial mapping and analysis are being used to assess access to surgical care in low- and middle-income countries and Africa. This data reveal disparities in access and is crucial for understanding health outcomes in different areas. Addressing geospatial determinants of health (GDOH) is essential for improving health equity, especially in these regions. Leveraging geospatial analysis can help mitigate delays in accessing care and improve resource allocation to strengthen healthcare systems. We propose that the interrogation of GDOH is critical in advancing surgical health, averting disease and implementing surgical interventions and programmes.
Morphological Study of Human Fetal Lung with Respect to Gestational Age in the Tertiary Care Center of Kumaon Region of Uttarakhand
Authors: Jaiswal Pragya , Deopa Deepa , Sharma Vandana , Thomas Sonali
Published: August 2024

Introduction:

The lung fissures are helpful in the movement of lobes in relation to one another. Variation in the presence or absence of fissures indicates about the pattern of development of the lung. The study was done to observe the appearance of lung fissures in human fetal lungs in relation to the gestational age.

Materials and Methods:

This cross-sectional study was conducted in the Department of Anatomy on 32 pairs of human fetal lungs of either gender which were divided into five subgroups of various gestational ages ranging from 15 weeks to 40 weeks. The morphological details of the appearance of fissures of lungs and the presence of any variation were noted.

Results:

Out of 32 specimens of the right fetal lung, the horizontal fissure was absent in two fetuses. The oblique fissure was complete and present in all 32 specimens of the right lung. Among 32 specimens of the left lung, the absence of oblique fissure was observed in one lung. No accessory fissure and lobe was seen.

Conclusion:

In our study, there was no correlation between the appearance of fissure and gestational age as the absence of horizontal fissure in the right lung is found among two gestational age groups; one in 21–25 weeks and one in 36–40 weeks. Furthermore, the absence of oblique fissure in the left lung is seen in the age group of 36–40 weeks. However, it was found that oblique fissure in both lungs and horizontal fissure in the right lung appear as early as 15 weeks of gestation.
Should Conventional Retrograde Intubation Be Taught in Academic Institutions as a Rescue Approach for Difficult Airways When Other Methods of Intubation are Neither Available Nor Feasible?
Authors: Chaudhary Ravi , Agarwal Ankit , Jagath A S Arun , Mahaseth Ranjay
Published: August 2024

Retrograde intubation (RI) is an approach to secure the airway in case of a difficult intubation. Conventionally, this technique involves placing a guide wire through the cricothyroid membrane into the tracheal lumen, and then advancing an endotracheal tube over the wire towards the glottis. Despite being a relatively safe technique, it has not gained widespread acceptance, as other methods of intubation such as awake fibreoptic intubation, videolaryngoscopy and supraglottic airways have taken precedence over it. However, in certain circumstances, such as in situations, where other methods of intubation are not available or feasible, RI can play a vital role in securing the airway. Given the potential benefits of the RI technique, it is crucial to re-evaluate its significance as a rescue approach for difficult airways. Academic institutions should consider including RI in their airway management curriculum to equip healthcare providers with a versatile set of skills and techniques for managing difficult airway situations. This approach can potentially save lives as it is a reliable and safe alternative technique to other conventional methods of intubation. Here, we provide a case report of a patient who underwent RI for an operable case of carcinoma buccal mucosa with flap coverage and plates in situ when our primary method of intubation, i.e. fibreoptic, malfunctioned.