bluuebunny/crossref_metadata_2025 huggingface dataset:
Introduction to Genomic-Driven Drug Discovery
Authors: Parikesit Arli Aditya
Published: December 2024

This chapter provides a comprehensive overview of the role of genomics in accelerating the drug development process. It highlights the significant advancements in large-scale population collections and whole genome sequencing approaches, which have significantly influenced multiple stages across the lifespan of a drug discovery program. The chapter emphasizes the increasing importance of genomic data in target identification, target prioritization, and tractability, as well as predicting outcomes from pharmacological perturbations. It also discusses integrating genomic technologies with other omics approaches, such as proteomics and metabolomics, to understand disease mechanisms better and identify potential therapeutic targets. The integration of bioinformatics is pivotal in harnessing the power of genomic data for drug discovery endeavors. This chapter delves into the computational approaches and analytical frameworks that enable extracting meaningful insights from vast genomic datasets. Furthermore, it examines the contributions of bioinformatics in the field of pharmacogenomics.
AI and Machine Learning in Earthquake Prediction
Authors: Anbazhagu U. V. , Sonia R. , Grover Rakesh Kumar , Banu E. Afreen , Jothikumar C. , Sudhakar M.
Published: December 2024

This chapter explores how AI and ML can be applied towards earthquake prediction to potentially impact the enhancement in precision and timeliness of the forecast of seismic events. The traditional methods have been taking advantage of geological data, whereas a data-driven approach from AI/ML leverages massive data streams, historical, and real-time seismic data. Some of the main ML algorithms used in pattern identification for seismic activities include neural networks, deep learning, and SVM. The chapter delves into how these technologies come together with the data on geospatially, sensor networks, and real-time monitoring to produce better predictions of earthquakes. Data quality, algorithmic transparency, and the complexity of seismic phenomena are also considered issues. This new area of research will well be worth developing to enhance the quality of early warning systems and decrease the destructive losses in lives and infrastructures caused by earthquakes.
AI and Quantum Computing for Accelerating Drug Discovery and Precision Medicine
Authors: K. S. Kavitha , Kamalakumari J. , Krishna Gopal , Najma Umme , Rama S.
Published: December 2024

This chapter will present how AI and Quantum Computing together can synergistically take the process of drug discovery and precision medicine to the next level. With AI possessing such powerful processing and analytic capabilities for large datasets, this enables the identification of novel drug candidates and optimization of clinical trial processes. Quantum Computing, with its unimaginable computational power, will be in a position to model such complex molecular interactions with much better accuracy in predicting the efficacy of drugs than any other classical approach. They work in collaboration to reduce timelines for drug development, slash costs drastically, and provide personalized treatment to the given individual's genetic, environment, and lifestyle factors. This chapter undertakes a review of the current applications, future trends, and challenges arising from integrating AI and Quantum Computing into pharmaceutical and healthcare industries because of their transformational impact on the future of medicine.
AI-Driven MCDM Tools for Optimizing Industrial Wastewater Treatment
Authors: Rana Rachna , Bhambri Pankaj
Published: December 2024

This chapter describes the recent focus on electricity use in wastewater treatment plants (WWTPs), which has led to research to improve efficiency and identify energy savings, and explains how multiple decision-making methods (MCDM) can be used to treat wastewater Treatment. One cubic meter of wastewater requires at least 0.18 kWh of electricity to treat. Aeration accounts for approximately 50% of the energy required for the process, depending on the level of treatment and the size of the site. This section describes how to save energy in wastewater treatment plants, highlighting the transition from traditional management to artificial intelligence (AI)-based technology. This section highlights the importance of wastewater treatment. It presents a comprehensive review of the literature over the last decade. It aims to contribute to the ongoing discussion on improving the efficiency and sustainability of wastewater treatment plants. It includes traditional management and technology, focusing on intelligence-based management using algorithms such as neural networks and fuzzy logic.
Enhancing Cybersecurity With SuperHyperSoft Computing Approaches
Authors: Bhambri Pankaj
Published: December 2024

In a time characterized by rapidly advancing cyber threats, conventional cybersecurity methods are progressively proving inadequate. This chapter examines the use of SuperHyperSoft computing to strengthen cybersecurity frameworks and establish resilient protection mechanisms against advanced cyber threats. SuperHyperSoft computing is a computer approach that can effectively manage data that is imprecise, unclear, and incomplete. It provides a new way to design security solutions that are flexible and intelligent. SuperHyperSoft computing combines fuzzy logic, neural networks, and genetic algorithms to develop dynamic security protocols that have the ability to predict, identify, and reduce possible threats in real-time. The chapter explores many applications of SuperHyperSoft computing in the field of cybersecurity, such as anomaly detection, intrusion prevention, and secure data transmission. Case studies and empirical research are used to demonstrate the efficacy of these approaches in practical situations.
On Cubic Spherical Neutrosophic Continuity
Authors: Karpagadevi M. , Gomathi S. , Revathy A. , Krishnaprakash S. , Ramasamy Ramesh
Published: December 2024

This paper introduces the concept of cubic spherical neutrosophic continuous mapping in a cubic spherical neutrosophic topological framework. A cubic spherical neutrosophic set is defined in a universe with elements mapped to a triplet representing degrees of membership, indeterminacy, and non-membership within a sphere of radius. We extend this structure to develop Cubic Spherical Neutrosophic Topological Spaces (CSNTSs), where the topology is defined by cubic spherical neutrosophic open and closed sets. The paper presents cubic spherical neutrosophic continuous mappings and Hausdorff properties for mappings between CSNTSs. Several theorems establish foundational results, including conditions for homeomorphisms, closed mappings, quotient mappings, and connected spaces. These results provide a rigorous mathematical foundation for CSNTS, demonstrating their potential utility in various applications requiring a blend of certainty, uncertainty, and vagueness.
Quantum Computing and Machine Learning for Advanced Cybersecurity Solutions
Authors: Deepajothi S. , Selvi C. Senthil , Shanmugaraja P. , Karthikeyan B. , Aravind A. R. , Prasad A. Rajendra
Published: December 2024

Quantum computing and machine learning provide an entirely new paradigm for advanced solutions in cybersecurity. The supercomputational power that quantum computing has will immediately be capable of solving tough cryptographic problems that classical computers find very hard to solve, thus providing extra-strength encryption and decryption techniques. In parallel, machine learning algorithms detect changing cyber threats; they identify complex patterns in very large datasets and provide real-time predictions of future vulnerabilities. This chapter will describe the synergies between quantum computing and ML, which might potentially lead to the development of mighty cybersecurity frames able to thwart attacks by sophisticated breaches such as those based on quantum principles. It takes up discussions regarding how QML models will change the entire mechanism of threat detection and response in a world like never before of unprecedented speed and accuracy.
Quantum Computing and Machine Learning for Transforming Precision Medicine and Drug Discovery
Authors: Yenduri Lakshmana Kumar , M. H. Chaithra , Shahedhadeennisa S. , Annamalai M. , Rajesh L. , Imran Shaik Mohammed
Published: December 2024

Quantum Machine Learning can be considered one of the transformational technologies in precision medicine and drug discovery because quantum computing combines immense processing power with high capability, predictive machine learning. This chapter will discuss the potential for QML to revolutionize complex biological data analysis to rapidly identify disease biomarkers and highly personalized treatment approaches. The chapter describes the two superior performances that can be achieved by quantum algorithms in simulating molecular interactions, and thereby drastically reducing time and cost in drug development. It also discusses key applications that include quantum-enhanced neural networks and support vector machines to diagnose diseases and predict outcomes of treatments. Challenges regarding scalability, noise reduction, and hardware limitations are discussed together with some very promising future directions. When quantum technology has reached full maturity, the opportunities it will give to machine learning will provide unparalleled breakthroughs in medical research.
Risk Assessment of Smart Contracts
Authors: Esfahanipour Akbar , Yektaparast Benyamin
Published: December 2024

In cryptocurrency market, smart contracts are used to transfer billions of dollars, and risk analysis of these contracts is crucial for ensuring their security in this rapidly evolving digital landscape. This study uses eight key risk criteria of smart contracts from the literature. The importance of these criteria was determined through a survey of experts by applying neutrosophic PIPRECIA method to weigh experts' opinion significance based on their knowledge and experiences. This leads to improve the credibility of the risk analysis process. The risk of nine specific smart contracts was then evaluated by applying a hybrid of the DEMATEL and PIPRECIA multi-criteria methods to weigh the evaluation criteria and calculate the security score for each smart contract. The security scores assigned to each smart contract provide valuable insights for traders and investors in the cryptocurrency market, highlighting the contract's robustness and reliability in the context of smart contract risks.
Techniques and Features Analysis on COVID-19 X-Ray Image
Authors: Singh Priyanka , Veenadhari S.
Published: December 2024

The pandemic years made us think a lot about what's happening in health fields. COVID-19 has created a big medical emergency, putting a lot of pressure on healthcare workers. This paper conducts a comprehensive survey of various image diagnosis techniques aimed at facilitating swift decision-making by medical officers. The classification of images into infected or uninfected categories is a key focus, with each image processing technique relying on distinct features. The paper provides a detailed summary of various image features along with the techniques employed. Additionally, various evaluation parameters are listed to facilitate the comparison of techniques proposed by researchers.
The Evolution of Quality Assurance in Higher Education
Authors: Kayyali Mustafa
Published: December 2024

This chapter examines the evolution of quality assurance (QA) in higher education, tracking its growth from early accreditation techniques to the sophisticated models applied today. The chapter investigates the historical context that produced the current quality assurance frameworks, highlighting the need for solid standards in an increasingly globalized and competitive educational environment. Through a review of modern models, the chapter illustrates the problems and opportunities facing institutions as they attempt to preserve and enhance academic excellence. Finally, the topic turns to the future of quality assurance, evaluating how rising trends and technologies may alter the landscape of higher education. The views offered aim to add to ongoing debates and provide a roadmap for institutions looking to traverse the challenges of quality assurance in the 21st century.
Navigating Academic Program Accreditation
Authors: Subbarayalu Arun Vijay , Kamalasanan Ajayan
Published: December 2024

Accreditation is critical to improving the status of an academic program, increasing student enrollment, improving student skills and learning environments, reducing attrition rates, and providing more funding opportunities. Each accreditation body has its standards for the accreditation of academic programs. As such, the NCAAA plays a central role in managing the accreditation of academic programs offered in Saudi universities. In this book chapter, the authors adopted a mixed methods design where a focused literature review was conducted and uncovered program accreditation standards adopted by the NCAAA. Second, the authors used qualitative research with an autoethnography approach and described the procedures for program accreditation, including meeting eligibility criteria, completing self-assessment scales, preparing self-study reports (SSR), managing accreditation visits, and addressing review panel recommendations. This chapter discussed the key strategies that academic programs should adopt to achieve academic accreditation in Saudi Arabia.
Enhancing Quality Assurance Through Active Student Participation in Accreditation Processes
Authors: Bohlens Christopher
Published: December 2024

This chapter undertakes a thorough and exhaustive exploration of the crucial and multifaceted role that students play in the intricate accreditation processes that govern higher education institutions, thereby illuminating the complexities and nuances inherent in this significant undertaking. By recognizing students as essential and influential stakeholders within this framework, the chapter seeks to clarify and elaborate on the various dimensions of their active participation, while simultaneously highlighting the myriad benefits that such involvement provides not only to the students themselves but also to the educational institutions they represent, and ultimately to propose a series of pragmatic and actionable strategies that can effectively foster meaningful student engagement in the critical initiatives surrounding accreditation.
Curriculum Design and Innovation
Authors: Mpofu Favourate Y. , Chasokela Doris
Published: December 2024

This chapter explores the importance of curriculum design and innovation within the context of higher education. This is critical because as higher education institutions strive to meet the changing demands of the globalized workforce and increasingly evolving technological landscape, innovative curriculum strategies are fundamental. The chapter emphasizes the need for adaptability and responsiveness to societal and labor market needs and expectations. It then highlights the key trends in curriculum design such as student-centered learning, integrated curriculum design and subject-focused curriculum. Additionally, the chapter discusses the challenges faced in designing and innovating curricula in the higher education context. Ultimately, incorporating stakeholder views is critical to fostering graduate employability, acquisition of 21st-century skills and navigating the complexities of the digital era.
Internationalisation of Higher Education
Authors: Suntharalingam Panchalingam
Published: December 2024

The internationalisation of higher education integrates international, intercultural, and global dimensions into post-secondary education's purpose, functions, and delivery. This trend has gained prominence due to globalisation, technological advances, and interconnected economies. Institutions pursue internationalisation for enhanced academic quality, global competence, cross-cultural understanding, improved institutional reputation, economic benefits, and advanced research and innovation. Challenges accompany these missions, including maintaining quality assurance, managing cultural differences, overcoming language barriers, financial constraints, ensuring equity and access, and navigating ethical considerations. Internationalisation requires strategic partnerships, comprehensive support services, globalised curricula, diversity initiatives, rigorous quality standards, and ethical integrity. UK and other institutions reveal best practices in building international networks, offering extensive support services, integrating global perspectives, and promoting inclusivity.
Quality Assurance in Australian Higher Education
Authors: Baker Anthony Thomas
Published: December 2024

Australia has a robust system of quality assurance in higher education. There is a national regulator, the Tertiary Education Quality and Standards Agency (TEQSA), that oversees quality assurance in Australian higher education, through registering higher education providers under a number of categories and accrediting courses delivered by institutions that do not have self-accrediting authority. This agency is established under an Act of the Australian Parliament. As well as having a regulatory responsibility TEQSA also provides a great deal of information to providers of higher education as well as informing the public, students and prospective students about the higher education system in Australia. Higher education providers are expected to have good quality assurance arrangements within each registered institution. The intention of the quality assurance systems in place is to enhance and protect Australia's reputation for excellence, diversity and innovation in higher education.
Strategic Use of Data in Higher Education Institutions for Quality Enhancement
Authors: Cheng Eric C. K.
Published: December 2024

This study examines the strategic integration of data-driven practices in higher education institutions (HEIs) to optimize quality assurance (QA) mechanisms. It highlights the role of data in enhancing QA and institutional improvement, focusing on initiatives by the University Grants Committee (UGC) in Hong Kong. Key practices include developing performance indicators, establishing data management systems, and using external benchmarks to assess effectiveness in teaching, research, and governance. The study outlines principles such as evidence-based decision-making, performance monitoring, resource allocation, and strategic planning. These approaches help universities optimize resources, enhance educational quality, and support continuous improvement. Additionally, the Student Satisfaction and Need Assessment Survey gathers insights into student experiences, informing quality enhancement and promoting accountability. The survey data assist universities in tailoring services, benchmarking against peers, and improving strategic planning.
Understanding World University Ranking
Authors: Subbarayalu Arun Vijay
Published: December 2024

World university rankings are critical for prospective students, faculty members, and policymakers evaluating HEIs based on various ranking indicators. The author adopted a mixed-methods study design where a narrative review was carried out to describe three ranking methodologies (i.e., THE, QS, and ARWU), including HEIs' challenges in the ranking process. The identified challenges include limited research funding, scarcity of top-tier faculty, balancing quantity & quality of research publications, publishing in high-impact journals, building international research networks, enhancing academic and employer reputations, maintaining optimal student-faculty ratios, and acquiring necessary data for rankings. In addition, an autoethnographic approach was adopted to identify strategies to improve universities' ranking performance, with a focus on enhancing research outputs, expanding international research networks, improving teaching and learning environments, strengthening reputation and addressing operational challenges centered around managing ranking data.
The Impact of Regulatory Frameworks on Sustainable Marketing Practices in the Aviation Industry
Authors: Ünver Serdar
Published: December 2024

The aviation industry is under increasing regulatory scrutiny due to its environmental impact, necessitating a shift toward sustainable practices. Recent legislation, including fuel economy standards and carbon pricing, aims to mitigate these effects. In response, airlines are modifying their marketing strategies to enhance corporate image and attract environmentally conscious consumers through eco-branding and digital engagement. Collaborative initiatives with industry groups and NGOs strengthen sustainability messaging and build consumer trust. Transparency in sustainability reporting is vital for accountability, yet airlines must navigate regulatory challenges and ensure authenticity to avoid perceptions of “greenwashing.” Ultimately, effective sustainable marketing strategies will enable airlines to align with consumer values and contribute to broader environmental movements, while collaboration among stakeholders will be critical in shaping a sustainable future for aviation.
Guilt's Role in Airline Environmental Messaging and Voluntary Carbon Offsetting Purchase Behavior
Authors: Al-Dhabyani Yaser , Arslan Erdal , dos Santos Gigante Eva Luísa
Published: December 2024

This chapter explores the influence of guilt on air passengers' decisions to purchase voluntary carbon offset (VCO) programs. It examines how airlines' environmental messages, when framed effectively, can evoke guilt and encourage consumer engagement in offset programs. The study builds on theories of message framing, guilt, environmental attitude, and trust, proposing a model where guilt mediates the relationship between message framing and purchase behavior. Additionally, environmental attitude and trust are explored as moderators of guilt's influence. This chapter presents a theoretical model that explores the interaction between various factors influencing the effectiveness of message framing on the purchase of VCO programs. It provides insights into the impact of message framing on promoting sustainable behavior. Additionally, the chapter offers research avenues aimed at understanding how these framing strategies can effectively encourage passengers to engage in and purchase VCO programs, ultimately contributing to environmental sustainability literature in the aviation industry
Sustainable Practices and Customer Value in Aviation Customer Dominant Logic Perspective
Authors: Çolak Haldun
Published: December 2024

Through the perspective of Customer-Dominant Logic, this study explores the gaps that exist in the aviation literature with relation to sustainable practices and customer value. Earlier studies, which frequently have their origins in Service-Dominant Logic (S-DL), place an emphasis on the value creation by providers, while ignoring customers' evaluation value inside their own ecosystems. In the context of sustainable practices, this study highlights important gaps based on dynamic capacities, brand image, information sharing, service quality, performance, customer trust, customer loyalty, satisfaction, and customer experience. This is accomplished via the utilization of a systematic literature review. The findings underline the importance of gaining a more in-depth understanding of the manner in which customers make sense of sustainable practices that are outside the control of service providers in aviation sector. This study also enhances comprehensive knowledge of customer value in sustainable aviation, with a particular emphasis on the formation of value emerges in customer reality.
Career Sponsorship as a Professional Practice for Participation in Professional Development Programs
Authors: King Deborah Baness , Cooney Matthew A. , Schneller Beverly A.
Published: December 2024

There are numerous opportunities for aspiring college presidents to participate in formal leadership development programs created by professional organizations dedicated to leadership in higher education. These formal leadership programs serve a variety of leaders in the presidential pipeline, including aspiring presidents in senior leadership positions and mid-level academic leaders. Participation in these programs is well-documented; however, participation in these programs can be stifled without a targeted professional development plan.
Context, Communication, and Constituency Management
Authors: Allen Michael
Published: December 2024

Barry University President Dr. Mike Allen delves into the critical importance of providing context and educating key constituent groups about the current landscape of higher education and the trends impacting desired outcomes at institutions. The chapter emphasizes the necessity for higher education presidents to communicate the “why” behind decisions and outcomes, acknowledging that external factors have a disproportionate, and often minimized, impact on measures of success. Additionally, strategies are provided for building a strong and effective Board of Trustees, highlighting the qualities needed in board members and the importance of diverse expertise and representation, as well as exploring engagement techniques and how to identify and tailor opportunities to leverage each board member's talents in a manner that best suits the organization.
The President's Chief of Staff
Authors: Jacobs Laura H.
Published: December 2024

The college presidency is a large, complex position that requires a broad and deep understanding of every facet of the campus in the most disparate and profound ways—from student recruitment to research expenditures; from campus safety to fundraising; from academic affairs to legislation. Such range is not only impractical but nearly impossible for a single individual to keep timely and organized in real time, thus the role of advisors and handlers is critical. This paradigm requires high levels of performance at every level of the institution to protect the president from spending energy on time-consuming tasks. Compounding an insatiable presidential need for information to do the job, is the fact that the presidency can be a lonely position. The chief of staff can be a critical partner, resource, and catalyst to the success of the president. This chapter unpacks some nuances of the role, shares observations, characteristics, and experiences of incumbent chiefs of staff and lends first-hand narrative advice for both presidents and those seeking the position.
Supporting Neurodivergent Learner's Transition to Higher Education
Authors: Hadley Wanda , Amoateng Ernest Y. , Mapondera Aaron Y.
Published: December 2024

It is important for college presidents, university administration, and faculty to know that students diagnosed as neurodivergent or having specific learning disabilities are the fastest growing underrepresented population attending colleges and universities after graduating from high school. Although there is growing enrollment in colleges and universities of students diagnosed with learning disabilities, their persistence to degree completion rates is low. University administration should know counseling centers and academic advising services are essential supports needed by this student group. This chapter offers the medical definition of neurodivergent student populations and describes the legal mandates that oversee their educational progress as they transition from high school to college. This information is important for university presidents, administration and faculty to know as students with learning disabilities access higher education.
Leading the Future
Authors: Wilson Lisa , Jackson Vette
Published: December 2024

The role of a university president has evolved to include active engagement in managing and integrating technology to support institutional success. This chapter explores how embracing digital transformation, primarily through Artificial Intelligence (AI) and Enterprise Resource Planning (ERP) systems, can revolutionize critical areas such as finance, human resources, student services, public safety, and more. Drawing on insights from semi-structured interviews with college and university presidents, Chief Information Officers (CIOs), and Chief Technology Officers (CTOs) representing diverse institutions—including public, private, minority-serving, and non-minority-serving institutions—this chapter equips future leaders with practical approaches to align digital initiatives with institutional priorities. Key insights include fostering a culture of innovation, addressing ethical challenges in technology governance, building strong partnerships with technology leaders, and harnessing advancements to achieve institutional goals. Designed for those preparing for executive leadership, this chapter offers actionable strategies to confidently navigate the complexities of integrating digital tools into higher education administration.
From Flashpoint to Resolution
Authors: Torres Omar Estrada , Warner Sean
Published: December 2024

In the evolving landscape of higher education, college and university presidents are increasingly confronted with crises that intersect with diversity, equity, and inclusion (DEI) issues. This chapter offers a comprehensive exploration of why and how aspiring presidents must be adept at managing such crises to foster a resilient and inclusive academic community. Emphasizing the critical role of DEI leadership, the chapter underscores the importance of a proactive and strategic approach to crisis management. It outlines practical strategies for addressing and mitigating DEI-related challenges, engaging stakeholders in meaningful dialogue, and implementing policies that promote equity and inclusivity. By focusing on practical, actionable the chapter aims to equip future leaders with the tools necessary for not only managing immediate crises but also driving long-term institutional change. This forward-thinking approach ensures that DEI issues are integrated into the core mission of the institution, ultimately contributing to a more equitable and inclusive academic environment.
Presidential Onboarding During a Time of Crisis
Authors: Mangino Christine
Published: December 2024

This chapter explores the unique challenges and strategies of presidential onboarding during a time of crisis, drawing from the author's experience as President of Queensborough Community College, City University of New York, beginning in August 2020. Despite the pandemic-imposed restrictions, various approaches were used to connect with the campus community, build trust, and learn the institution's culture—all virtually. These strategies, while initially crafted for remote engagement, have proven invaluable for ongoing crisis management. The chapter will delve into specific methods employed to foster meaningful relationships, create a culture of care, and develop a strategic plan that reflects the institution's needs and values, offering insights that transcend the immediate moment and are applicable to any leadership transition.
Strategies for the HBCU Presidential Preparation, Entrance, and Exit
Authors: Graham Tymon M. , Gilliam Erin Wiggins , Norfleet Jeffery W.
Published: December 2024

This chapter per the authors will discuss the foundation of historically black colleges and university (HBCU) and the HBCU presidency. The chapter will begin with a foundation of historically black colleges and universities, then transition into the black college president as a challenging leadership position. Next the chapter will discuss presidential preparation programs and competencies needed for the president as outlined by the American Council on Education. Lastly, the chapter will discuss entrance strategies and exit strategies for HBCU presidents.
Prenatal Tourism, Citizenship, and National Security
Authors: Jain Garima , Sharma Vikas
Published: December 2024

Prenatal tourism, where expectant mothers travel to foreign countries to give birth, has become a growing phenomenon with significant implications for citizenship policies and national security. This practice often aims to secure citizenship for the newborn in countries with birthright citizenship laws. The risks associated with prenatal tourism include potential exploitation of citizenship laws, increased strain on healthcare systems, and challenges to national security. Moreover, there are concerns about the long-term socio-economic impacts and the potential for legal and diplomatic conflicts. Mitigation strategies to address these risks include tightening visa regulations, revising citizenship laws, enhancing international cooperation, and improving monitoring and enforcement mechanisms. By adopting a multi-faceted approach, countries can better manage the complexities of prenatal tourism, safeguard their national interests, and ensure that citizenship policies are fair and just.
The Role of Technology in Facilitating and Regulating Prenatal Tourism
Authors: Bhattacharya Atanu , Sharma Aman , Kaur Tajinder
Published: December 2024

This paper investigates the pivotal role of technology in facilitating and regulating prenatal tourism, where expectant mothers travel abroad to give birth, often to secure citizenship for their children. Technological advancements in healthcare, like telemedicine and remote monitoring, enable continuous care for prenatal tourists, ensuring better health outcomes. Digital platforms streamline the logistical planning and management of these trips, making it easier for families to access international medical services. Regulatory technologies like blockchain, digital identity verification, and electronic health records present new opportunities for monitoring and controlling prenatal tourism practices. However, the integration of technology also raises ethical and legal concerns, including privacy issues, data security, and the potential for exploitation. By employing a mixed-methods approach, this study examines the merits & challenges of technology in prenatal tourism, offering recommendations for leveraging technological innovations to promote safe, ethical, and regulated practices.
Challenges and Opportunities Faced by Rural Women Entrepreneurs
Authors: Wasif Mohd , Sadiqe Mohd , Khan Md. Mudassir Hussain , Muzaffar Bushra
Published: December 2024

The involvement of women in entrepreneurship in rural areas is closely connected to several Sustainable Development Goals (SDGs). Entrepreneurship in rural regions, by enabling women to initiate and manage enterprises, contributes to SDG 1 (No Poverty) through the creation of income-generating prospects and enhancement of livelihoods. The advancement of SDG 2 (Zero Hunger) is facilitated by the active participation of women in agricultural entrepreneurship, which contributes to the improvement of food security and the promotion of sustainable farming practices. Encouraging business among rural women is also in line with SDG 5 (Gender Equality) as it monetarily empowers women, challenges gender conventions, and enhances their decision-making authority. Moreover, entrepreneurship promotes economic expansion and the generation of employment opportunities in rural areas, so contributing to the achievement of SDG 8 (Decent Work and Economic Growth).
Understanding the Issues and Aspects of Women Entrepreneurship in Hilly Region in India
Authors: Ghosh Arpita , Patra Pradipta , Paidipati Kiran Kumar
Published: December 2024

In the workplace, the emphasis is shifting toward a more inclusive and collaborative growth and development model that values all stakeholders' participation in defending their wider shared interests. Finding answers to sustainability difficulties may benefit from a thorough, objective, and transformative approach, which is indicative of a feminine management style. Women are revered as a source of power' and a 'hope of the future in Indian culture, representing beauty, auspiciousness, and wealth. A survey-based study was conducted at Paonta Sahib, Himachal Pradesh to understand the factors influencing women entrepreneurship in positive and negative manners. A mixed approach of statistical analysis and textual analysis were conducted from the responses. In this survey, the majority answered that they had problems with borrowing. Most of the respondents admitted that they received moral support from family members with the words “yes”, “family”, “support”.
Factors Influencing the Sustainability of Women Micro-Entrepreneurship in Jammu and Kashmir
Authors: Gupta Meenakshi , Singh Ajay Kumar
Published: December 2024

This chapter explores the various factors that influence the women microenterprises in Jammu and Kashmir (J&K), India. It finalized seven important factors using the factor analysis approach. These 7 factors are categorised as: “Improved physical and digital infrastructure”, “Access to microfinance or microcredit”, “Prevailing societal norms in the rural areas”, “Education and skill level”, “Favourable government policies and support measures”, “Market access opportunities” and “Predominant security issues”. This study suggests that policy makers should consider the above-mentioned factors to increase the sustainability of women's micro-entrepreneurship to increase social equity and equality, and empowerment of women. The policy makers should also focus on creating an enabling micro business environment to support female entrepreneurs for achieving inclusive economic growth in J&K. The above-mentioned suggestions would be helpful to attain SDGs in India. Numerous policy proposals are given to increase the sustainability of women's entrepreneurship in India.
Rural Women Entrepreneurship in the Face of Gender Inequality
Authors: Singh Amrik , Supina Supina
Published: December 2024

An entrepreneur is a person who establishes new businesses, expands unexplored existing markets, and significantly contributes to the gross domestic product. Rural areas frequently establish entrepreneurship from a social enterprise perspective, aiming to generate both visible benefits and financial returns. Entrepreneurship in rural areas has three key goals: creating employment opportunities, promoting social integration, and promoting the region's socioeconomic progress. This century is no longer an era where only people of a certain gender can engage in entrepreneurial thinking. Both men and women have the drive, experience, and insight necessary to succeed as business owners. On the other side, women's entrepreneurship is a factor that contributes to bigger issues such as gender equality and women's competency. This leads to the reformation of social concepts and institutions. This chapter, encompassing its three sub-sections: Unveiling Realities: Conditions and Challenges Confronting Women Entrepreneurs in Rural Settings, Stories of Resilience and Success Rural Women's Entrepreneurship, Overcoming challenges for women entrepreneurs to ensure gender equality in rural areas, will delve into these discussions.
Women Entrepreneurs and Rural Tourism in Turkey
Authors: Kekeç Buse , Bayram Gül Erkol , Kınay Aysun Gargacı
Published: December 2024

The biggest challenges faced by rural women in entrepreneurship activities are lack of education, limitations in vocational training opportunities and lack of knowledge on marketing strategies. While these challenges constitute obstacles to the realization of rural women's entrepreneurial potential, difficulties in accessing property rights, difficulties in accessing financial resources and restrictions imposed by traditional social norms stand out as important obstacles to the rural development process in rural women's entrepreneurship in Turkey. In this context, in order for rural women to develop their entrepreneurial identities and take steps in accordance with social norms, education, financial support and policies that prevent discrimination against women entrepreneurs should be implemented. In this study, it is aimed that women entrepreneurship in rural areas plays an important role in the development process and strategies to overcome these obstacles are identified. Suggestions that can be developed in the context of Turkey are presented.
Exploring the Integration of Technology and AI in ESL Instruction
Authors: Luria Ela
Published: December 2024

In today's interconnected world, the role of technology and artificial intelligence (AI) in education has become increasingly prominent, with educators exploring innovative ways to enhance teaching and learning experiences (Means et al., 2013; Bower, 2019). Within the realm of ESL (English as a Second Language) instruction, the integration of technology and AI holds significant promise for addressing the diverse needs of language learners and promoting linguistic proficiency in the digital age (Hubbard, 2008; Chun et al., 2021). Grounded in the Technological Pedagogical Content Knowledge (TPACK) framework, this study investigates the experiences, perspectives, and challenges encountered by ESL teachers, both novice and experienced, as they navigate the terrain of technology-enhanced language learning. By contrasting the insights of educators at different stages of their careers, this qualitative study aims to shed light on the evolving landscape of ESL instruction and the transformative potential of digital tools and AI-driven platforms.
Artificial Intelligence and Educational Robotics in Maker Education
Authors: Lampropoulos Georgios , López-Belmonte Jesús , Marín-Marín José-Antonio
Published: December 2024

In maker education, students are actively engaged in the educational process through experiential learning and become co-designers and co-creators of their own learning. The chapter examines the role of artificial intelligence and educational robotics in maker education. Based on the results, this combination can increase student technical and soft skills, improve their learning motivation and engagement, and enhance their creativity, higher-order thinking skills, and critical thinking. It supports personalized learning, self-regulated learning, and collaborative learning, increase student interest in and positive attitude toward science, and assist teachers to actively interact with their students and focus on their needs and performance. Through personalized feedback and meaningful hands-on experiences and project-based learning activities, students acquire a deeper understanding of the concepts taught. Integrating educational robotics and artificial intelligence into maker education can enrich and transform teaching and learning activities and support both students and teachers.
An LLM-Based Smart Repository Platform to Support Educators With Computational Thinking, AI, and STEM Activities
Authors: Xenakis Apostolos , Dimos Ioanis , Feidakis Michalis , Sotiropoulos Dimitrios , Kalovrektis Konstantinos , Nikolaou Grigoris
Published: December 2024

In this chapter, we aim to describe the design technology and educational necessity of a smart repository platform, which supports educators with all necessary materials and activities to plan and execute lesson plans, based on computational thinking and STEM activities. To this end, our platform provides guidance and STEM – based lesson plans, functioning as one point of access, where educators provide, as an input, their description about the lesson characteristics (i.e. the learning goals, the activities topics, the didactic approach etc.) and the platform makes all necessary information correlations and outputs the appropriate response to provide lesson plans and activities. For example, a request could be like “Design a lesson plan dedicated to K9 students concerning sports which promotes algorithmic thinking and decomposition”. The quality of the output depends on the quality of the raw input material. Regarding the platform's technology, we exploit a large, ready – made language model (LLM), like Meltemi, in conjunction with the Open WebUI.
Applications of STEM Based on POE Learning Model to Increase Primary School Students' Understanding of Science Concepts
Authors: Altundağ Canan Koçak , Karaşahin Esra
Published: December 2024

The study proposes five Hands-on STEM and science activities designed using the Predict, Observation, Explain (POE) technique, which aligns with the Computational Thinking. The aim is to make the Hands-on STEM and science activities more functional for science teachers and students through the POE method. In the research, the following Hands-on STEM and science activities were designed: The Nightmare of thieves, design proposal, let's match the elements, design Proposal, atom, cat gene, mirror. The method of study is design-based research method. The Hands-on STEM and science activities were designed to be easily implemented by science teachers in the classroom, cost-effective, and practical. Given the limited presence of activities designed with the POE technique, suitable for the Hands-on STEM activities, and capable of supporting the development of Computational Thinking Skills in the literature, it is believed that the findings of this study will significantly contribute to enriching science teaching environments.
Using Gamification Techniques to Enhance Learning in Primary School
Authors: Koutsikou Androniki , Antonopoulos Nikos
Published: December 2024

This chapter explores the use of a cutting-edge educational approach called gamification, which is becoming increasingly popular in academic settings. While the exact framework of gamification is still evolving, incorporating game mechanisms and features into non-game environments shows promise in enhancing student motivation and fostering active engagement in the learning process. Within the primary education ICT course, deliberate efforts were undertaken to integrate gamification elements into STEM teaching scenarios, algorithmic thinking, and the broader ICT curriculum. These efforts help educators be more creative and support a well-rounded approach to education where gamification is an important focus. The insights and observations in this chapter are collected from classroom experiences and designed to encourage the exchange of ideas among educators for further exploration and development. The challenges within the classroom and the broader education system are multifaceted.
Towards the Promotion of STEM and Technology Education in K-12 Schools
Authors: Šević Nevenka Popović
Published: December 2024

The primary task of society and the academic community is to motivate young people from an early age to study in technology-based fields. In the Republic of Serbia, the reason for the increasing popularity of professions that cover STEM fields, but also the application of computer technology and AI support within K-12 schools, is that the professions in the IT sector, as well as engineering science, have proven to be extremely profitable and in that sense, very desirable for young people who choose these desired courses while still in high school. Limited or insufficient knowledge of the advantages that new technological education offers to young people in K-12 education and professions in the Republic of Serbia was noticed. This would mean a more intensive promotion of STEM and AI fields in the educational system, which would be carried out not only within earlier teaching activities, but also numerous extracurricular and other activities that children and young people attend at an early age