bluuebunny/crossref_metadata_2025 huggingface dataset:
Dr. Casey Fiesler: Making tech ethics go viral
Authors: DiPaola Daniella , Walker Raechel
Published: August 2024

MIT Science Policy Review spoke with Dr. Casey Fiesler about her work to bring technology ethics to the general public through social media. Dr. Fiesler is an Associate Professor of Information Science (and Computer Science by courtesy) at the University of Colorado Boulder, specializing in the areas of technology ethics, internet law and policy, and online communities. Dr. Fiesler’s work on research ethics for data science, ethics education in computing, and broadening participation in computing has been supported by the National Science Foundation (NSF), and she is the recipient of an NSF CAREER Award. As a public scholar, she frequently speaks on topics of technology ethics and policy, and her research has been covered in a wide variety of media outlets, from The New York Times to Teen Vogue (though she’s particularly proud of her TikToks). Dr. Fiesler holds a PhD in Human-Centered Computing and a JD from Vanderbilt Law School. We had a conversation with Dr. Fiesler about her widely followed social media channels, where she addresses technology ethics with the general public. You can follow her on Instagram and TikTok @professorcasey.
A two-front revolution: Helping our cities and schools help each other
Authors: Pachipala Siddhu
Published: August 2024

MIT Science Policy Review spoke with Kate Burns about kicking off a two-front science policy revolution: how academics can make their research politically actionable and how local officials can center academic research to run their cities. Burns is the Executive Director of MetroLab, a nonprofit organization that nurtures transformational collaborations between cities and universities [1]. Burns had her start in mayoral administrations in Seattle, Washington and Kansas City, Missouri, thinking deeply about innovation and drafting new regulatory schemes for transportation and data privacy. We spoke with Burns about the gulf between the research that comes out of the modern university and what happens on the ground in American cities, and the concrete steps we can take to narrow it. Our conversation is expansive, optimistic, and highlights how research inside university walls can dramatically impact people’s quality of life on the outside.
Scientific expertise and public engagement in science policy: A conversation with Dr. Alondra Nelson
Authors: Dellatolas Ippolyti
Published: August 2024

MIT Science Policy Review spoke with Dr. Alondra Nelson about the role of scientists and the broader public in shaping policy. Dr. Nelson is the Harold F. Linder Professor in the School of Social Science at the Institute of Advanced Study, an independent research center in Princeton, New Jersey, and is the author of multiple works about the intersections of science, technology, medicine, and inequality, including Body and Soul (2011) and The Social Life of DNA (2016). She previously served as Deputy Assistant to President Joe Biden and acting director of the White House Office of Science and Technology Policy (OSTP). As a distinguished senior fellow at the Center for American Progress, she has advised at various levels of government and civil society on science-related issues. Dr. Nelson’s unique perspective as a sociologist sheds light on the importance of public participation in policy development, both as a democratic process, and to ensure that scientific and technological progress benefits society. In our conversation, we discussed some of the challenges of science policymaking, strategies to enhance public involvement in policy, and the fundamental value of providing broad public access to science and scientific education.
The origins of the antimicrobial resistance crisis and emerging solutions
Authors: Kilaru Vindhya , Lim Emilia
Published: August 2024

Antimicrobial-resistant infections, already responsible for millions of deaths every year, are increasing worldwide. To tackle this crisis, a growing number of institutions, both public and private, have come together to implement policies that aim to curb the spread of antimicrobial-resistant disease. The resulting policy network has culminated in several tangible effects, including increased education on correct antibiotic use, improved support structures for the development of AMR therapeutics, global public health efforts to specifically help low- and middle-income countries gain access to better diagnostic and care facilities, and the growth of promising new treatments for antimicrobial-resistant disease. The following review provides background on AMR and outlines the progress in developing policies and technologies to combat rising cases of antimicrobial-resistant infections.
Regulatory challenges and policy gaps for in-space servicing, assembly, and manufacturing technologies
Authors: Harris Maya , Green Dansil , Lisy Celvi
Published: August 2024

In-Space Servicing, Assembly, and Manufacturing (ISAM) technologies provide incredible opportunities to improve space exploration by giving space assets longer lives, enabling the creation of space objects that are too large to launch from Earth, and allowing space technology to be built using materials sourced from other celestial bodies. However, ISAM technologies also pose legal and regulatory challenges. There are some ongoing challenges with satellite regulations that also apply to ISAM technologies, like spectrum allocation and enforcement, and some difficulties that are unique to ISAM, like mission authorization and continuing supervision. This paper explores how ISAM technologies fit within current space policy framework and the current efforts to regulate ISAM. Additionally, it identifies policy gaps and future work to be done to ensure the safe and sustainable use of ISAM technology.
Mapping the space of social media regulation
Authors: Lubin Nathaniel , Mayberry Kalie , Moses Dylan , Revel Manon , Thorburn Luke , West Andrew
Published: August 2024

Social media platforms mediate a significant fraction of human communication and attention. The impact of social media on society has been under increased scrutiny, and concerns over its effects have motivated varied and sometimes contradictory government regulation around the world. In this review article, we offer two ways of mapping the space of social media regulation: viewing social media either (i) as an architecture impacted by design choices, or (ii) as a market governed by incentives. We survey the most prominent regulatory approaches globally (both enacted and proposed), with an emphasis on the United States and the European Union, and position these options within the two maps. We conclude by discussing the fundamental trade-offs associated with different interventions, comparing jurisdictions, and highlighting paths forward in the context of the potentially-conflicting rights and interests of relevant stakeholders.
Toward a "third culture": MIT SPR as an outlet for 21st-century scientific storytelling
Authors: Cascino Jennifer
Published: August 2024

In an era marked by the persistent onslaught of global disturbances, MIT SPR is poised to continue to serve as a bastion of accessible and conscientious communication between scientists, the general public, and policymakers. Drawing on a heritage of scientific thinkers from the past half-century, I argue for a reorientation of our self-image at the journal from communicators to storytellers to move toward a culture that best unites all stakeholders needed to safeguard our collective future.
A Agenda urbana na escala supramunicipal : estudo para uma hierarquia dos arranjos institucionais para políticas públicas (Publicação Expressa)
Authors:   Instituto de Pesquisa Econômica Aplicada
Published: August 2024

A presente Nota Técnica é um dos produtos resultantes da pactuação institucional entre o Instituto de Pesquisa Econômica Aplicada (IPEA) e a Secretaria Nacional de Mobilidade e Desenvolvimento Regional e Urbano (SMDRU), do Ministério do Desenvolvimento Regional (MDR). Seu objetivo é apoiar a formulação da Política Nacional de Desenvolvimento Urbano (PNDU). Este é o terceiro de cinco produtos previstos que contribuirão para o componente da Agenda Urbana para o Desenvolvimento Urbano, e todos serão integrados em um relatório síntese-final (Sumário Executivo).
Texto para Discussão 3031
Authors: Codes Ana , Araújo Herton , Turchi Lenita
Published: August 2024

Este trabalho aponta as potencialidades, necessidades e desafios com que se deparam os gestores escolares no contexto da educação digital. Ainda que poderosos, os recursos tecnológicos despertam preocupações em diversas dimensões do cotidiano educacional, tais como como proteção e segurança de dados, ética, entre outros. Nesse contexto, cabe à política educacional orientar, assessorar e apoiar os gestores das escolas públicas brasileiras nessa “travessia” – algo novo e desafiador também para os níveis regulatórios e administrativos centrais e estratégicos do país. É sobre o papel da política pública que este estudo se debruça, no intuito de colaborar para a discussão e propor encaminhamentos. Para tanto, tomam-se como base pesquisas bibliográficas e experiências internacionais sobre o tema, descrevendo-o, revelando os principais vetores de expansão, tendências e as dificuldades inerentes a tais experiências. Dados empíricos sobre a realidade brasileira mostram que a gestão das escolas públicas brasileiras já caminha, em graus e ritmos variados, rumo à incorporação dos recursos digitais. Contudo, para que todas as escolas possam se inserir mais e melhor no mundo tecnológico, é necessário e tempestivo trazer o tema da gestão escolar online para a esfera da política pública – notadamente porque se encontram em discussão a regulamentação da Política Nacional de Educação Digital (PNED) e o Plano Nacional de Educação 2025-2035. Exorta-se ainda que o Censo Escolar do Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep) inclua em seus questionários itens relativos à digitalização da gestão das escolas.
Antibacterial Application of Copper Nanoparticles Biosynthesized by Water Caltrop Pod.
Authors: Khatri Farooque Azam , Memon Jamil-ur-Rehman , Solangi Imam Bakhsh , Memon Ghulam Zuhra , Khattak Muhammad Imran , Bhatti Muhammad Ali , Keerio Fayaz Ahmed , Muhammad Farooque
Published: August 2024

This study investigates the utilization of water caltrop pod, an abundant agricultural waste product, as a green extract for the optimized biosynthesis of copper nanoparticles (CuNPs). To comprehensively characterize the water caltrop pod and the biosynthesized CuNPs by water caltrop pod a sophisticated techniques were employed, including  U.V-Vis spectrophotometry for probing their preliminary analysis of copper nanoparticles, FT-IR spectroscopy for elucidating the functional groups present in water caltrop pod, Scanning Electron Microscopy (SEM) for visualizing the morphology, Energy Dispersive X-ray (EDX) for elemental analysis while Energy-Dispersive X-ray (XRD) to determine crystalline structure of copper nanoparticles. Furthermore, the antibacterial application of these biogenic copper nanoparticles was explored. The antibacterial activity of copper nanoparticles (CuNPs) was investigated against both Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) bacteria, revealing their efficacy in combating microbial growth employing a Well Diffusion method. Copper nanoparticles showed greater antibacterial treatment against Gram (+ve) bacteria i.e. Staphylococcus aureus as compared to Gram (-ve) bacteria i.e. Escherichia coli. This research paves the way for the sustainable production of bio-functional CuNPs from waste biomass, offering promising application in antibacterial therapies.
Theatre and the Development of Spa Tourism in Eighteenth-Century Tralee
Authors: CABALL MARC , MCELLIGOTT JASON
Published: August 2024

On Saturday, 6 March 1756, Shakespeare’s
1 Henry IV
was staged in the Assembly Room on Castle Street in the town of Tralee in county Kerry. Far from being a one-off, this heralded the start of a season of theatrical performances by a troupe of actors who had travelled from Dublin. There were thirty nights of performances between the opening on 6 March and the final entertainment on Monday 10 May 1756. Why were Shakespeare’s and other plays being performed in a small town on Ireland’s south-west Atlantic coast, and what might have been the social, cultural, and commercial circumstances of their performance? It is suggested that the plays may have been staged as part of an effort on the part of the town’s proprietor and local landowner, Sir Thomas Denny, to develop Tralee as a destination for medical tourism and spa sociability.
Metarhizium puerense (Hypocreales, Clavicipitaceae): a new species from Yunnan, south-western China
Authors: Ma Jin Mei , Wang Zhi Qin , Yang Zhi Li , Chen Yue , Li Song Yu , Yu Hong
Published: August 2024

As a genus within the Clavicipitaceae, Metarhizium exhibits rich morphological and ecological diversity, with a wide distribution and a variety of hosts. Currently, sixty-eight species of Metarhizium have been described.

A new species of Metarhizium, M. puerense (Hong Yu bis), was described in Pu'er City, Yunnan Province, south-western China. Based on morphological characteristics and multilocus phylogenetic analyses, Metarhizium puerense was confirmed to be phylogenetically related to M. album, but was clearly separated and formed a distinct branch. In contrast, the host of Metarhizium album was plants and leafhoppers and that lepidopteran larvae were the host of M. puerense. The diagnostic features of M. puerense were solitary to multiple stromata and smooth-walled, cylindrical with rounded apices conidia.
Utilizing a Dashboard for Efficient Biodiversity Data Overview and Gap-Filling Effort
Authors: Hoh Daphne , Wu Jun-Yi , Tuanmu Mao-Ning
Published: August 2024

Taiwan Biodiversity Information Facility has been leading the effort to integrate and mobilize biodiversity data nationally. We recently accomplished the integration of local databases and successfully developed a data portal that efficiently links to the most comprehensive biodiversity database in Taiwan: the Taiwan Biodiversity Information Alliance Data Portal. However, we identified an emerging challenge following this development. Preliminary analyses have revealed several gaps in the current dataset, impeding robust data use. For instance, land data dominates over sea data, and bird records are more abundant than those of other taxonomic groups. In our endeavour to enhance national biodiversity data coverage, we are actively exploring methodologies to address these existing data gaps. Here, we broadly define data gap as the absence of required data or information for use. Our primary objective is to empower users to identify these gaps, thereby facilitating efficient, informed survey planning and eventually filling these gaps. For this purpose, we are evaluating the effectiveness of a user-friendly dashboard, tailored for biodiversity survey planning in Taiwan. We developed and deployed a R Shiny dashboard*1 that provides users with insightful data visualizations that highlight spatial, temporal, and taxonomical data overviews. It also offers customizable filtering options, such as by major taxon groups and habitat types, for easy viewing. Additionally, the dashboard includes a download function, so users can access spatial and taxon gap information in their survey planning efforts.

After deploying the dashboard, we conducted user interviews to collect feedback aimed at refining its usability and effectiveness. In addition to helping survey planning, we anticipate that this tool will also aid data users in promptly assessing data integrity within the national biodiversity data portal, thereby enabling them to identify potential data gaps and biases that may affect subsequent use. Through this presentation, we aim to share our experience in developing an interactive dashboard tailored for public use. Preliminary results had indicated that the dashboard highlighted some visible data gaps and biases, particularly in underrepresented areas such as marine habitats and less-studied taxonomic groups. Additionally, user interviews revealed a demand for a feature that provides single species data overviews, suggesting a potential area for further development to enhance the tool's utility. Some challenges remain, such as the need to enhance data granularity and user interface usability. Future work will focus on incorporating more real-time data integration and expanding the range of customizable filters. We believe these efforts will further empower users in Taiwan to conduct more informed and efficient biodiversity surveys, ultimately supporting research and policy-making to address critical biodiversity data gaps.
Two new species and a new record of the ant genus Meranoplus Smith, 1853 (Hymenoptera, Formicidae, Myrmicinae) from Thailand
Authors: Yodprasit Kuntima , Buddhakala Nopparat , Tasen Wattanachai , Jaitrong Weeyawat
Published: August 2024

Meranoplus Smith, 1853 is distributed in the Old World tropics, from Africa, Asia, New Guinea to Australia. There are four species Meranoplus bicolor (Guérin-Méneville, 1844), M. castaneus Smith, 1857, M. laeviventris Emery, 1889, and M. mucronatus Smith, 1857 previously recorded from Thailand. In the present paper, two new species of the genus, M. siamensis Yodprasit & Jaitrong, sp. nov. and M. tanomtongi Yodprasit & Jaitrong, sp. nov., are described based on the worker caste. Additionally, M. malaysianus Schödl, 1998 is recorded for the first time for Thailand. A key to the Oriental and Indo-Australian species, based on the worker caste, is provided. The new species and the new record were found to nest in soil.
Morphological and molecular data warrant the description of a new species of the genus Scutiger (Anura, Megophryidae) from the Central Himalaya
Authors: Hofmann Sylvia , Jablonski Daniel , Schmidt Joachim
Published: August 2024

Recent phylogenetic studies in Himalayan lazy toads of the genus Scutiger Theobald, 1868 revealed the presence of genetically deeply divergent lineages. The taxonomy of S. nepalensis sensu lato was re-assessed based on museum material considering molecular and morphological data. The results strongly support the recognition of a new species, S. kanjirobasp. nov. distributed along the Nepalese Kanjiroba massif. It is further shown that S. sikimmensis has an apparently much more restricted distribution range than previously thought. The frequent misidentification of Scutiger across large areas of the Himalaya-Tibet area highlights the significance of careful taxonomic evaluation of collection material and the need for the direct morphological comparison of closely related species when describing new species.
A Qualitative Study of the Intention to Use Smart Hybrid Electric Vehicles in an Oil-Rich Country
Authors: Youshanlouei Hossein Rahmany , Gol Akram Elahi , Ščasný Milan , Shahraki Armita Maleki
Published: August 2024

Current research aims to investigate the experts' opinions on the key factors (KFs) influencing the intention to use smart hybrid electric vehicles (SHEV). The objective is to systematically compile the psychological, social, and cultural attributes and present a comprehensive taxonomy of these key factors. The study employs a content analysis approach to compile experts' opinions addressing key factors related to the intention to use SHEV in an oil-rich economy. Through an in-depth analysis of the identified key factors in interviews, a taxonomy comprising 40 key codes is formulated. These codes are classified into ten main themes. The significance of this study lies in the development of a taxonomy that organizes knowledge, provides a common language, and offers researchers a conceptual framework for clear navigation and easier comprehension when categorizing key factors and establishing relationships between these categories.
The Impact of Blockchain Technology and Decentralized Supply Chain on Production
Authors: Mokhtari Kourosh , Abandansari Seyydeh Atefeh Mousavi , Goodazian Fariba
Published: August 2024

In this chapter, the authors will examine blockchain technology and decentralized supply chain and their impact on production. Despite significant research, supply chain management has many years to solve issues such as product supply, product life cycle, transportation history, etc. Therefore, blockchain technology in various industrial sectors as a support technology shows that it is a decentralized and distributed which enables all secure transactions and transactions without intermediaries and provides a permanent and anti-tampering record of transactions so that all data can be accessed and confirmed by anyone who has access to the network. In fact, blockchain technology is considered to improve the functionality of the decentralized supply chain and is used to increase the level of security and supply chain services so that all product assets registered by blockchain technology are untamperable.
Circular Economy Essentials
Authors: Truong Dung , Duc Kien Nguyen , Dinh Nguyen Cong
Published: August 2024

In an era of escalating environmental concerns and finite resources, the concept of the circular economy emerges as a transformative paradigm, shifting the global economy from its traditional linear trajectory of “take-make-dispose” to a regenerative and restorative model. This chapter examines foundational principles of the CE, tracing its historical evolution from early sustainability efforts to the integration of modern Industry 4.0 technologies like blockchain, the internet of things, and artificial intelligence. These technological advancements are crucial for enabling the transition, enhancing resource efficiency, reducing waste, and fostering innovative business models. Through literature reviews and case studies, the chapter illustrates the multifaceted benefits of the CE, and addresses the substantial challenges and barriers to full-scale implementation. Thus, it underscores the necessity for a collaborative approach among policymakers, businesses, and consumers to drive systemic change towards sustainability.
Circular Economy Perspectives on E-Waste
Authors: Çizer Ece Özer , Kırçova İbrahim
Published: August 2024

The growth-oriented linear economy has given way to other economic models that emphasize themes such as product transformation, sharing, sustainability, and equality. These new economic models, which focus on solving the cumulative environmental and social problems that have existed from the past to the present, emphasize better, fairer, and more equitable conditions for everyone. Unlike the linear economy, the flow of the circular economy continues after the garbage is produced. The most basic condition for the circular economy cycle to be sustainable is the recycling of garbage. It is very important to motivate customers to recycle garbage as much as possible. As the creator of the cycle, it is now critical to investigate methods that will include the customer in the cycle and to examine the reasons behind consumer behavior. In line with this importance, in this study, bibliometric analysis will be applied to studies in the literature in order to determine consumers' motivations and obstacles to participation in sustainable disposal practices in the circular economy.
Societal or Organizational Transformation Projects
Authors: Trad Antoine Toni
Published: August 2024

Evolutive societal or organizational transformation projects (SOTP) are fundamental for society's or organizations' long-term sustainability and in insuring human values and protecting natural resources. But SOTPs are complex, because of the heterogeneous environment's complexities, reality in inter-linking various antagonistic domains, and lack the immense lack Polymathic concepts and skills. Such a concepts, skills, and digitization are needed to finalize SOTPs, in an evolutive manner. Polymathic or holistic concepts privilege interdisciplinary approaches for SOTPs' management. This chapter uses the applied holistic and poly-mathematical model (AHMM) for SDE4NCA (AHMM4SDE), which is a variant of the polymathic AHMM. The IHIPTF4SDE supports the polymathic enterprise metamodel (PEMM), where the PEMM needs the SDE4NCA to improve digitization implementations' quality. The SDE4NCA interfaces a set of methodologies, domains, societal topics, and environments to enhance societal, government, and/or organizational processes by improving various aspects of life.
Sustainable Business Models for Smart City Using Artificial Intelligence Techniques
Authors: Mayuranathan M , Nahar Garima , Vijayakumar A. , Naveen  , Mamodiya Udit , Babu D. Magesh
Published: August 2024

The integration of smart city initiatives and AI technologies presents significant opportunities for sustainable growth and innovation in urban development. This chapter explores the relationship between sustainable business models, smart cities, and AI techniques, highlighting their role in efficiency, resilience, and inclusivity. It analyzes case studies and industry insights to understand the challenges and opportunities of integrating AI into smart city infrastructures. It emphasizes the importance of ethical considerations, stakeholder engagement, and long-term planning in shaping sustainable urban futures. This chapter presents a framework for sustainable business models using AI to tackle urban challenges, promote economic prosperity, and promote environmental stewardship. It explores innovative data analytics, predictive modeling, and autonomous systems, demonstrating how these technologies can revolutionize urban governance, transportation, energy management, and public services.
Unleashing the Potential of Artificial Intelligence for Dynamic Supply Chain Optimization and Sustainability
Authors: Ibrahim Mirna
Published: August 2024

Green supply chain management (GSCM) integrates environmental considerations into supply chain functions from product design to end-of-life management. This chapter examines the emerging applications of artificial intelligence (AI) for advancing sustainability across supply chain operations and decision-making. Specifically, it reviews the use of AI-powered analytics, optimization algorithms, machine learning systems, and distributed ledgers for enabling circular resource flows across global value chains. The chapter also critically evaluates the successes, limitations, risks, and ethical considerations of current AI applications in GSCM. Challenges related to data quality, algorithmic bias, job automation risks, and operational integration complexities are discussed, along with mitigation strategies. Case studies demonstrating AI's impact on solving real-world supply chain sustainability issues are incorporated. The chapter broadens the discussion to encompass economic, social, and environmental dimensions of sustainability, as well as AI's role in enhancing supply chain resilience.
Understanding the Metaverse
Authors: Widodo Agung Mulyo , Wisnujati Andika , Asianto Andriyanti M. , Aryani Diah M. , Rahaman Mosiur , Arya Varsha , Pappachan Princy
Published: August 2024

A shared and dynamic online environment consisting of networked communities, programs, and technologies will bring new possibilities for social media, the digital economy, and online experiences. For this reason, we need a medium that can unite these communities in a shared and dynamic online environment. Introduced a virtual world concept called the metaverse, which consists of various interconnected digital spaces, allowing users to interact, work, play, and create in a fully immersive environment. The metaverse combines elements from virtual reality (VR), augmented reality (AR), blockchain, and the internet to create more immersive and interactive experiences. Social media, gaming, e-commerce, and other aspects of the metaverse ecosystem enable diverse activities and a robust virtual economy that generates jobs and business opportunities. This chapter contains the meaning of the metaverse, a brief explanation of metaverse elements, metaverse trends, and challenges, making it easier for readers to understand the metaverse.
AI-Driven Security Measures in Virtual Worlds
Authors: Gaurav Akshat , Chui Kwok Tai
Published: August 2024

This chapter discusses the implementation of AI-driven security measures in virtual worlds, which presumes advanced approaches and solutions implemented to protect users' interactions and the environment of the virtual space in general. The topics discussed within the chapter are related to AI applications in security issues, machine solutions for the purpose of intrusion detection, and behavioral biometrics for user authentication. Each of the topics include practical scenarios connected to IDS and behavioral biometrics. Information on content moderation, policy enforcement, and future directions is given as well. The chapter provides solid proof that metaverse security should include AI-driven solutions through effective case studies, while performance expectations are discussed in each case.
Exploring Security and Privacy Challenges for Banks in the Evolving Landscape of the Metaverse
Authors: Shah Mushtaq Ahmad , Uddin Furquan
Published: August 2024

The metaverse presents an unprecedented opportunity for banks to innovate and transform their services, offering immersive and interactive experiences to customers. However, this virtual frontier comes with a myriad of security challenges that must be meticulously addressed to safeguard sensitive information, prevent fraud, and ensure regulatory compliance. This chapter explores the transformative potential of the metaverse for banking and examines the key security challenges such as data breaches, cybersecurity threats and virtual property theft. It presents comprehensive strategies to address these issues, including robust encryption, multi-factor authentication, blockchain technology, and user education. By implementing these measures, banks can ensure a secure, resilient virtual banking environment, safeguarding sensitive information and maintaining regulatory compliance. The chapter emphasizes the importance of continuous monitoring and proactive security practices in navigating the evolving digital landscape.
Protection and Management of User Privacy System Data Security With the Metaserve Approach
Authors: Yati Paryati Paryati
Published: August 2024

The metaserve world and architecture provide a glimpse into what connects the virtual to the real world. At a time discusses existing data security and personal data privacy. This is very important because it has high and urgent risks in the metaserve world. This paper discusses the issue of data security and personal data which is usually referred to as individual personal privacy. In this paper there are things that are very interesting about a metaserve representing the next generation, using the internet to change the way people live. As well as new forms of media in communicate with the system, which can give users their own avatar in work, socializing and in the world of entertainment with virtual games, and has the ability to integrate various technologies such as artificial intelligence technology, blockchain, virtual reality can be combined with augmented reality. So the metaserve can actually help activities humans, but can also cause side effects in various problems related to data security and data privacy system users, for example, data breaches and identity theft.
Advancements in Metaverse Security
Authors: Kumar A. V. Senthil , Sivakumar Pavithra , Chaturvedi Ankita , Musirin Ismail Bin , Akula Venkata Shesha Giridhar , Suganya R. V. , Vanishree G. , Pillai Rajani H. , Jagadamba G. , Kaur Gaganpreet , Srinivasulu Asadi , Dulhare Uma N.
Published: August 2024

This chapter proposes a novel approach for detecting phishing websites within the metaverse, leveraging the Optimal Feature Selection and the Random Forest classifier. This framework addresses the critical challenge of safeguarding users from deceptive tactics in virtual environments. By analyzing website characteristics and identifying the most informative features, the proposed method enhances the accuracy and efficiency of phishing detection in the metaverse, contributing to a more secure and trustworthy virtual landscape. The chapter delves into the methodology, including the chosen feature selection technique and the Random Forest classifier, followed by implementation details, experimental results evaluating the model's performance, and a discussion on the implications for future metaverse security research
Digital Transformation in Preventive Dentistry
Authors: Dimitrova Mariya , Kazakova Rada
Published: August 2024

The digital revolution has profoundly impacted preventive dentistry, transforming conventional methods and elevating patient care. This chapter offers a comprehensive overview of technology's pivotal role in the progression of preventive dentistry. It delves into a thorough examination of digital tools and advancements, spanning from cutting-edge imaging techniques to intricate data analysis, illustrating how these innovations have reshaped the realms of diagnosis, treatment planning, and patient education within preventive dentistry. Moreover, the integration of tele-dentistry, artificial intelligence, and digital communication platforms has facilitated remote consultations, customized treatment approaches, and enhanced patient involvement. By scrutinizing the advantages, hurdles, and future possibilities of digital transformation in preventive dentistry, this chapter aims to underscore the transformative capacity of technology in optimizing oral health outcomes and advancing the provision of preventive dental care.
Imaginative Literary Representations Promoting Digital Technology for Preventive Dentistry
Authors: Watanabe Nancy Ann
Published: August 2024

This chapter builds a case in support of digital dentistry technology based on the premise that dentistry is a medical science that requires dental healthcare professionals to perform their day-to-day work with unwavering exactitude and to provide services to the public with mathematically precise, scientific accuracy. Imaginative literature uses different perspectives on the need for digital dentistry technology, emphasizing the role teeth play in society, dentists' physical and emotional health, dentistry as a profession, and dentist-patient communication flow. Outstanding portrayals of teeth, dentists, and patients are William Shakespeare's “Much Ado About Nothing,” Edgar Allan Poe's “Berenice,” Frank Norris' “McTeague,” and Rudolph Fisher's “The Walls of Jericho.” Shakespeare rhetorically compares love to a toothache, Poe investigates the meaning of professionalism in dentistry, Norris shows the folly of a charlatan Gold Rush dentist who weds a patient, and Fisher depicts dynamics of compassion, digital communication, and AI in health-intensive sites divided by walls from everyday life.
Promotion and Prevention of Oral Cancer in the Digital Era
Authors: Jaber Mohamed A. , Elameen Essra M.
Published: August 2024

The rising incidence of oral cancers highlights the urgent need for effective prevention and control strategies. This chapter explores the role of digital technologies in promoting and preventing oral cancer in the digital era. An electronic literature search was carried out in PubMed, Scopus, and Web of Science, focusing on articles published from January 2016 to August 2024. The findings indicate that digital platforms are powerful tools for promoting awareness of oral cancer. These platforms facilitate the dissemination of information about risk factors, symptoms, screening methods, and preventive measures. Research on digital technology in the promotion, screening, and prevention of oral cancer provides valuable insights into the potential applications and challenges of integrating these tools into clinical practice. Further research is needed to evaluate the cost-effectiveness, scalability, and long-term outcomes of digital interventions in oral cancer management.
In Vitro Cultured Meat
Authors: Edris Shimaa N. , Tayel Aya , Hamad Ahmed M. Alhussaini , Sabeq Islam I.
Published: August 2024

The advent of in vitro cultured meat represents a groundbreaking advancement in food technology and sustainable agriculture. This chapter delves into the intricacies of lab-grown meat, exploring its potential to revolutionize the meat industry by offering a viable alternative to traditional livestock farming. In vitro cultured meat is produced by culturing animal cells in a controlled environment, allowing for the creation of muscle tissue that mirrors conventional meat without the need for animal slaughter. This method addresses a myriad of concerns related to environmental sustainability, animal welfare, and food security. In conclusion, in vitro cultured meat has the potential to transform the meat industry by offering a sustainable, ethical, and safe alternative to traditional meat. As research and technology continue to advance, cultured meat could play a pivotal role in addressing some of the most pressing issues facing global food systems today.
Artificial Intelligence From a Behavioral Finance Perspective
Authors: Demirci Vildan Gülpınar
Published: August 2024

The non-linear, non-normally distributed, and often dynamic nature of financial data makes the use of predictive analytical techniques widespread. Digital data, which is the most common type of data in finance, has a multidimensional, noisy, and complex data structure that makes data processing and analysis difficult by its very nature. In recent years, the assumption that decision-makers behave rationally in financial decisions has been the subject of “behavioral finance” and empirical studies have proven that many behavioral anomalies affect financial decisions. In order to improve the success of financial forecasting, this chapter proposes to incorporate decision-making behavior into the financial big data structure. Thus, the authors discuss how predictive analytical approaches can successfully forecast not only a noisy and multidimensional data structure but also a multivariate data structure that includes behavioral factors. This study focuses on how AI applications should be used to overcome all of these challenges related to financial research.
Elucidating Nuances
Authors: Thomas Nidhiya Maria , Natchimuthu Natchimuthu
Published: August 2024

Cryptocurrencies are characterized by their volatility and growth. This necessitates effective price prediction methods. Machine learning algorithms have emerged to be effective, particularly long short-term memory (LSTM) models, in price prediction. This study, therefore, compares the LSTM models, namely LSTM, BiLSTM, and CNN-BiLSTM, to identify the superior LSTM model, along with the Crypto fear and greed index (FGI) for price prediction. The study revealed the difference in the performance of different LSTM algorithms in price prediction. While LSTM and BiLSTM showed strong predictive power, CNN-BiLSTM showed slightly varied performance across cryptocurrencies. The FGI also had a mixed influence based on the specific cryptocurrency. The study reinforces LSTM's effectiveness in cryptocurrency price prediction and the need for careful understanding when integrating sentiment data like the FGI. The findings have implications for investors and researchers seeking to leverage LSTM algorithms and sentiment indicators to make informed decisions in these market dynamics.
Predictive Analytics and Time Series Forecasting
Authors: Murali M.
Published: August 2024

Decision support systems use statistical and computational techniques. These statistical and computational techniques are used to predict the outcomes when it is applied on financial data. This chapter discusses the time series forecasting and predictive analytics within the financial domain. This work will cover the ARIMA method and deep learning methods. These methods will facilitate forecasting future through the analysis of financial time series data. The outcomes generated by these methods will help the financial managers and other professionals in the financial domain to improve their results. This work investigates predictive analytic techniques in the finance domain and computational algorithms to forecast the future trends.
The Use of AI in ESG Integration
Authors: Mohammad Niaz
Published: August 2024

Investing in ESG (environmental, social, and governance) has gained significant attraction in the last few years. Investors are starting to match their principles to their assets. However, despite this quick expansion, many investors still require assistance, the most significant of which is the quality and accessibility of ESG data. The rapidly growing research landscape in finance, encompassing environmental, social, and governance (ESG) topics and associated artificial intelligence (AI) applications, presents the greatest challenge in Bangladesh. Data were collected from the audited annual report of the top 30 firms of banks, non-banking financial institutions, and insurance listed in Dhaka Stock Exchange for four years (from 2020 to 2023). Content analysis was used first to find the link of ESG reporting with AI and then text analysis was used. Findings of this chapter suggest that AI-integrated solutions can significantly improve security and customer experience and accelerate industry innovation in the financial sectors.
Transforming Finance With Deep Learning Predictions
Authors: Sebastian Ashy , Tantia Veerta
Published: August 2024

Stock market predictions have always been an appealing area for the research community, and deep learning-based techniques have emerged as the newest addition to the domain. Through this chapter, the authors develop a novel multi-output stacked LSTM model for intraday predictions of the top three NIFTY stocks. While previous studies have utilized LSTM for stock market prediction, their focus has primarily been on generating a single output. In contrast, this study addresses the limitations of previous studies and offers a more comprehensive view of the price dynamics by attempting to predict the entire OHLC price range. The proposed model employed historical price and STIs as inputs and used PCA for dimensionality reduction, and obtained an average accuracy of above 91% on the test data. For the performance evaluation of the model, it was benchmarked against similar studies, and its superior prediction performance was measured using metrics such as MAE, MSE, and RMSE.
Enhancing Policy Evaluation
Authors: Igamane Saadeddine , El Mouatassem Abdelhay
Published: August 2024

This chapter examines the significance of qualitative methodologies in evaluating self-employment policies. The central question is how qualitative approaches enhance policy evaluation in self-employment. The chapter highlights the importance of qualitative studies, such as the biographical approach and life narratives, in offering interpretative perspectives that enrich policy assessments and inform evidence-based decision-making. Qualitative methodologies play a crucial role in providing detailed contextual insights, uncovering complexities, and understanding programmatic effects. By examining contextual influences, implementation strategies, and individual characteristics, qualitative studies help to develop comprehensive theories of change, leading to more responsive and adaptable policies. The chapter emphasizes the need to integrate qualitative and quantitative approaches for a mixed methods policy evaluation. This approach enables policymakers and researchers to develop evidence-based policies that address the diverse needs and challenges of self-employed individuals.
The Adoption of a Qualitative Approach in Management Science
Authors: El Hammoumi Ahmed , Seghyar Nabil , Gouiouez Mounir , Amane Meryem , Berdi Abdelaziz
Published: August 2024

This chapter aims to analyze the qualitative method in management science. It examines the theoretical foundations of this approach to achieve its epistemological bases. In this perspective, the authors present an attempt to elucidate the underpinnings on which the assumptions of a knowledge production approach around a defined object in the social sciences are built. They also question why management science, which is traditionally focused on quantitative methods, adopts qualitative methods. Based on a literature review, it can be affirmed that qualitative research aims to deeply understand the context of phenomena and the mechanisms underlying them. Thus, proponents of these methodologies are interested in realities embedded in specific contexts to better grasp the complexity of human interactions within the organization and to address certain challenges, notably the management of cultural diversity and the dynamics of virtual teams. The authors illustrate this research with an exploratory study examining the effects of Big Data on the performance of companies in Morocco.
Demystifying the Role of Perceived Brand Personality as a Mediator in the Connection Between Personality Antecedents and Self-Brand Connection
Authors: Kour Manjit , Kaur Kulwinder
Published: August 2024

Brands play an important role in creating perceptions about products which in turn impact the buying behaviour of consumers. This study will aid in the creation of effective branding strategies that can raise customer engagement and loyalty by offering a more thorough knowledge of the function of perceived brand personality in the association between personality antecedents and self-brand connection. This study adopted descriptive research design. Data was collected from 166 respondents and Hayes PROCESS was used to find the mediator role of perceived brand personality in the relationship between personality antecedents, and self-brand connection. The study established that perceived brand personality has a mediator role in the association between personality antecedents and self-brand connection.
Emergence of Sustainable Marketing in Fashion
Authors: Asgarali Batul Mustafa
Published: August 2024

This chapter delves into the environmental and business implications of sustainable fashion practices. Along with a heightened focus on the impact of fast fashion on natural resources, this chapter also highlights the consecutive rise of eco-conscious behavior within consumers. It discusses the environmental challenges created by the fashion industry which includes water scarcity, textile dye pollution, and landfill waste, while exploring innovative solutions such as waterless dyeing technologies and textile recycling. Moreover, the chapter investigates the role of ‘green' marketing in advertising campaigns that promote sustainable fashion, highlighting the successful strategies utilized by brands like Adolfo Dominguez and Patagonia. The chapter also explores the upcoming business opportunities and growth potential that the practices of sustainable fashion open up, including the innovation of virtual try-on technologies and the rise of second-hand markets through real life case studies and examples.
Influencer Marketing and Artificial Intelligence
Authors: Zeren Deniz , Erkan Ismail , Elwalda Abdulaziz , Rahman Mushfiqur , Cil Ebru
Published: August 2024

This chapter aims to review artificial intelligence (AI) in influencer marketing literature to identify gaps and provide directions for future research. In this direction, the authors critically assess 21 articles that have appeared in the Web of Science (WOS) database. Definitions of influencer marketing and AI, theoretical foundations, and main methodologies employed were reviewed and the countries of focus and social media websites studied. The systematic literature review has demonstrated some significant findings. Research on AI in influencer marketing has revealed an emphasis on AI Influencer marketing. Findings also show that the majority of influencer marketing studies were conducted with a quantitative approach, and focused more on Instagram while less attention has been paid to other social media websites. At the end of the research, the study contributes to the existing literature by examining the current state of AI in influencer marketing research and providing future research directions from theoretical, methodological, and context-related perspectives.