bluuebunny/crossref_metadata_2025 huggingface dataset:
Promoting Equity, Diversity, and Inclusion Through Virtual Exchange
Authors: Otieno Daniel
Published: February 2024

The triad of equity, diversity, and inclusion (EDI) continues to occupy the conversations in educational spheres across the world. The discourse on inclusion and social justice is shifting from decoloniality, racial bigotry, negative ethnicities to that of fostering global understanding while de-perpetuating the narratives of victims versus perpetuators. These disparities were carried over into the years after independence and have influenced the socio-economic fabric of African societies to date. While there is some credence to this, given that the colonists adopted a system of divide-and-rule to maintain control over their colonies, several years after independence, it is time to liberate thought patterns from these mental traps. While previous conversations dwelt on historical injustices of transatlantic slavery, racial oppression and colonialism, modern debates should focus on how to make our workplaces and society in general more inclusive, equitable amidst the diversities of cultures that exist in the world today.
Restructuring Core Curriculum
Authors: Tatlock Julie Christina
Published: February 2024

This chapter explores major themes surrounding restructuring core curriculum in higher education. The current climate in higher education might seem hostile to innovations in core curriculum. There are numerous barriers to such efforts at all levels from instruction to upper administration. Despite the challenges, this is a propitious moment to reflect on what the academy considers to be the body of knowledge everyone should have. While there will not be one answer for every institution, there are a number of best practices that can ensure a robust curriculum that benefits both students and institutions.
Skills and Values
Authors: Riggs Wayne M.
Published: February 2024

This chapter will provide an overview of the formation and implementation of the new Skills and Values Core Curriculum at Flagler College. It will discuss the emergence of the ideas that led to an ambitious and innovative Core Curriculum at the institution – from the strategic plan of the College, to several AACU workshops and meetings, to faculty roundtables and meetings. An examination of the shared governance process that led to acceptance and implementation of the curriculum will provide ideas and guidance to other institutions. It will detail the implementation of the interdisciplinary curriculum, participation of the faculty, design of dozens of new classes. Finally, it will describe the unanticipated impact of the Core in helping secure state funding for Classical and Liberal Education that has supported the hiring of new faculty and growth of the program.
Inclusive Practices and Bilingual Education
Authors: López-Medina Beatriz
Published: February 2024

Alongside the steady increase of bilingual schools, the last two decades have witnessed the need to incorporate inclusive practices within such settings. Notwithstanding, the diversity of needs and multiple learning environments embraced by the term inclusion and the recent generalization of bilingual programs in some contexts have led to limited and heterogeneous research on this matter. This chapter aims to outline the emergent themes in recent literature regarding inclusion and bilingual/plurilingual education. To this end, through the analysis of abstracts in recent research regarding both issues, thematic categories were separated and discussed using MAXQDA 10.0 software. Results show a clear salience of context-bound pedagogical practices, followed by bilingual education of the deaf as a key theme. The emergent themes raised in the current literature can help education stakeholders identify the research trends in this area and reflect upon their potential pedagogical implications.
Characteristics of Foreign Language Education in the Czech Republic
Authors: Besedová Petra
Published: February 2024

The chapter describes the characteristics of foreign language education in the Czech Republic and reveals a multifaceted and dynamic system that reflects the nation's commitment to linguistic diversity and global connectivity. The chapter gives us an insight into the history of foreign language education in the Czech Republic, where there are obvious historical milestones that marked obvious changes in this teaching. Furthermore, the chapter deals with multilingualism, with an emphasis on building solid foundations in foreign languages. The curriculum is progressive in nature, leading students from basic language skills to more advanced levels, including literature and culture. Among other things, the chapter will touch on the issue of training future foreign language teachers, outline its current state and the main challenges for the future. One of the characteristic features of foreign language education in the Czech Republic is the inclusion of all pupils in education, including the teaching of foreign languages.
Blockchain Applications and Benefits in Cloud Computing
Authors: Salama Ramiz , Al-Turjman Fadi
Published: February 2024

Due to its many attributes, including decentralization, transparency, and security, blockchain is now a very important and novel technology for the current generation of industrial applications. One of these fields, the Cloud of Things, was created by fusing cloud computing and the Internet of Things. Blockchain is a key component of this technology because it provides data privacy and network security, eliminates Cloud of Things challenges through decentralization, and incorporates Cloud of Things features through elasticity and scalability functionalities, enhancing the overall efficiency of blockchain operations. As a result, it is highly advantageous to connect blockchain to the Internet of Things (IoT); this technology is known as BCoT, and it is now thought to be a very promising field for a wide range of industrial applications.
Forms of Bias in Online Reviews and Their Implications for Management of Customer Knowledge
Authors: Skotis Apostolos , Livas Christos
Published: February 2024

This study conducts a systematic literature review to identify forms of user behavioral bias, affecting the generation of content, evaluation patterns, and the impact of online reviews. Furthermore, it indicates the resulting implications for organizations' management of customer knowledge. The authors collected studies dating from 2009 to 2023 in Scopus, where a high dimensionality of bias definitions is observed. As a result of this review, a series of thematic distinctions is proposed, distinguishing sentiment and evaluation asymmetries, motivational factors, as well as on-platform effects that can amplify, adjust, or create biased behaviors. The authors draw analogies with cognitive bias literature regarding cognitive limitations, preconceptions and motives, and contextual adaptations that lead to biased behaviors. Suggested methods and analyses aiming at bias understanding and mitigation are also presented in detail. The authors provide a comprehensive framework of bias-centered management in online review platforms, incorporating customer knowledge flows and practices to monitor and address bias effects.
Causes and Consequences of the 2023 Banking Crisis
Authors: Ozili Peterson K.
Published: February 2024

This chapter presents a discussion about the causes and consequences of the 2023 banking crisis in the United States. Using discourse analysis, the chapter shows that the 2023 banking crisis was the worst crisis in the US and Europe since the 2007-2008 global financial crisis. This banking crisis was caused by aggressive interest rate hikes by the US Federal Reserve. The increase in interest rates led to huge losses on the portfolio of government bonds held by US banks. The losses led to fears of bank collapse and triggered unprecedented deposit outflows which led to funding and liquidity problems for some banks and the eventual collapse of four banks – Silicon Valley Bank, Signature Bank, First Republic Bank, and Credit Suisse. This crisis showed that the increase in interest rates can unmask hidden vulnerabilities in the banking system.
E-Waste Dilemma
Authors: Mishra Dibya Nandan , Patra Bhairab Chandra
Published: February 2024

The proliferation of electronic devices in today's digital age, while ushering in technological advancements, has given rise to a pressing global issue: the exponential accumulation of electronic waste (e-waste). Not only is this a grave environmental concern, but its ramifications also spill over into health and equity domains. Delving into the social dimensions of e-waste, this chapter seeks to spotlight the pressing health risks associated with improper e-waste management and the equity concerns inherent in its production, disposal, and recycling. Drawing from various studies, the chapter posits that addressing the e-waste conundrum requires a multi-pronged approach, emphasizing the importance of global collaboration, regulatory frameworks, public awareness, and technological interventions.
E-Waste Management in Developing Countries
Authors: Bhardwaj Laxmi Kant , Rath Prangya , Tokas Rajat
Published: February 2024

Information and telecommunications technology (ITT) has expanded into many aspects of modern life and has positively affected human life even in the most remote areas of developing countries. The rapid growth in ITT has led to an improvement in the capacity of computers but simultaneously to a decrease in the product's lifetime as a result of which increasingly large quantities of e-waste are generated annually. It contains hazardous components that if it is not properly managed can have adverse environmental and health effects. The management of e-waste poses significant challenges in developing countries. Due to the lack of adequate infrastructure, e-waste is burned or dumped in open areas. Informal and inefficient recycling practices are generally employed which further exacerbate pollution and health risks. So, the implementation of e-waste management, adequate recycling, and waste disposal facilities have become crucial concerns. This chapter reviews the concept of e-waste generation, challenges, disposal, and its impact on human health and environment in detail.
Fostering Sustainability
Authors: Ahmad Afaq , Prasad P. V. Satya
Published: February 2024

The unpredictable chemical components of e-waste pave the way to have severe impacts on ecosystems and human health. Electronic waste (e-waste) has been becoming a potential threat to live in a conducive environment for mankind. The basic cause for concern for this incessant e-waste seems to be the rapidly changing advanced technologies and low production cost. This chapter analyses to what extent e-waste is creating panic for sustainable societies and addressing sustainable development goals. To fulfil it, the researchers conducted an extensive literature review to muster frame of mind from relevant disciplines and did content analysis of the reports pertaining to e-waste and sustainability published at multiple digital platforms. To reduce the exorbitant amount of e-waste, e-waste management methods (recycling, etc.) are of utmost importance. Technically speaking, the developed countries are the main source of e-product production and e-waste generation.
From Waste to Wealth
Authors: Choudhary Sharuti
Published: February 2024

The exponential surge in global e-waste has emerged as a critical social, ecosystem, and public health matter. Within this chapter, the authors delve into the multifaceted economic, social, educational, legal, and technological challenges entwined with electronic equipment waste management. It accentuates the imperativeness of devising effective strategies to overcome these hurdles. Insufficient management practices culminate in the emission of perilous substances, thus exacerbating pollution levels and health risks. Numerous nations have adopted regulations and policies to govern the people and proper disposal of electronic equipment waste. In this chapter, the authors explore the utmost significance of managing electronic equipment waste in connection with the Sustainable Development Goals (SDGs). The discourse encompasses exemplary practices and strategies. Conclusively, this chapter emphasizes the paramount importance of robust policies and continuous innovation in achieving sustainable electronic equipment waste management and making valuable contributions towards the realization of the SDGs.
Technological Advancements in E-Waste Management and Resource Recovery
Authors: Yeruva Jayaditya Reddy , Guduru Adip Krishna , Saripalli Bhanu Prakash
Published: February 2024

As the world digitizes rapidly, there has been an exponential surge in the generation of electronic waste (e-waste), and it poses a grave threat to our planet due to its hazardous components, improper disposal methods, and the sheer volume being generated. Adding to the problem, e-waste recycling is highly complex and tedious, making it difficult to keep up with the pace of generation as well as leading to wastage of various precious metals. The solution involves using advanced technology to develop and optimise a multi-step resource recovery system. This chapter emphasizes the importance of engineers in tackling e-waste and how cutting edge technology can have a significant positive impact on society without necessarily requiring on-site involvement. The research aims to explore innovative strategies and technologies which will play a vital role in revolutionizing e-waste management, with AI-driven diagnostics, repair guidance, component identification, and value assessment being the future of efficient, effective, and sustainable e-waste recycling.
Transitioning Toward a Circular Economy Through E-Waste Management
Authors: Raghunandan G. , Thangam Dhanabalan , Patil Shashikala , Murthy B. M. Rama , Juned Mohammad , Duraisamy Durairaj , Narasimhaiah Ramakrishna , Ponnada Nandeeswara Rao , V. Ravi
Published: February 2024

This chapter delves into the complexities and recommendations associated with the management of electronic waste, paving the way for a transition towards a circular economy. It underscores the significance of adopting sustainable practices, including eco-friendly product designs, extended producer responsibility, recycling, and remanufacturing. Several challenges are identified, such as the scarcity of data regarding material concentrations in specific electronic equipment and the absence of universally applicable standard methods for evaluating elemental concentrations in e-waste. The chapter underscores the value of integrating technical support and financial incentives to bolster e-waste management efforts. Furthermore, it highlights the pivotal roles played by the private sector, non-governmental organizations, and government bodies in the effective implementation of these strategies. Collaboration between businesses, governments, and consumers is underscored as essential for establishing a robust circular economy.
Foundations of Artificial Intelligence and the Ever-Evolving Technological Landscape in Business
Authors: Merlo Tereza Raquel
Published: February 2024

This chapter provides an introduction to the foundations of Artificial Intelligence (AI). The history and concepts of Artificial Intelligence are outlined, highlighting the fact that AI is not a new area of knowledge or system, unlike the recent popular belief suggests. It discusses the dynamic context of the business world being impacted by AI, covering some core concepts for business, the strategic integration of AI, the critical role of data analytics and future perspectives within the field. This chapter emphasizes the adaptability and scalability of business in the face of AI-driven changes. The literature review encompasses a wide range of sources, including academic research publications, case studies, and industry reports, providing a well-rounded perspective on the subject matter. Key themes emerging from the literature, such as AI-driven productivity enhancements, the challenges and opportunities of AI in organizations, trends, and new professional roles, are examined. In conclusion, this chapter aims to equip readers with a solid foundation for understanding how AI was created and is reshaping business operations processes and outcomes. By elucidating the key principles, applications, and impacts of AI, it serves as a valuable resource that helps highlight the transformative influence of generative AI on decision-making processes, automation, data analytics, and organizational strategies, serving academics, business professionals, and anyone seeking to navigate the intricate landscape of AI in the corporate world.
Artificial Intelligence, Knowledge Engineering, and Management
Authors: de Rezende Alvares Lillian Maria Araujo , Valentim Marta Lígia Pomim
Published: February 2024

This chapter discusses the convergence of knowledge engineering and artificial intelligence in the context of knowledge management, highlighting the synergy between these disciplines to optimize organizational processes. Both have promising potential to improve knowledge management by automating tasks such as collecting, filtering, analyzing, and organizing data, information, and knowledge while identifying relevant patterns for strategic organizational development. It explores how knowledge engineering contributes to its representation and application, while artificial intelligence enhances hyper-automation and predictive analysis through advanced algorithms. The methodology adopted is an exploratory analysis that provides a comprehensive understanding of the dynamics involved in this disciplinary convergence and its implications for knowledge management. As a result, it highlights not only the unique contribution of knowledge engineering to representation and its efficient application, but also the amplifying role of artificial intelligence in organizational processes.
Understanding the Ethical and Social Consequences of Data Analytics for Organizational Management in the Age of AI
Authors: Herath Siriyama Kanthi , Herath Laksitha Maheshi
Published: February 2024

This chapter addresses the ethical and social consequences of using AI and data analytics in accounting. It looks into the impact of contemporary innovations on corporate governance and emphasizes the value of moral judgment. Despite the fact that AI and data analytics have digitized and given insights into accounting, understanding their ethical and social effects is crucial. The chapter addresses the advantages and drawbacks of applying AI to accounting, including changes in management, societal repercussions, prejudice, privacy issues, openness, and accountability. It additionally takes into account how automation will affect jobs and the accounting sector. The chapter urges stakeholders to prioritize ethics and control possible risks by highlighting ethical awareness and responsible decision-making when integrating AI and data analytics.
Is It Just a Technical Issue?
Authors: Eren Arda , Hamarat Ercenk
Published: February 2024

Generative AI has become so important that educators cannot ignore it. However, while educators focus on the benefits and harms of generative artificial intelligence in terms of education, they ignore the character traits of the student. Therefore, they get stuck with the decision-cost analysis results they put forward to exclude or use for education; this means missing out on a vital benefit of generative AI: empowering teachers. This chapter suggests, therefore, that to properly understand the benefits and harms of generative AI in terms of education, it is necessary to focus on the character traits of students, and it has empowered teachers on character education. While doing this, benefits from the vice and virtue epistemology, eventually decides that education needs something that not only gives technical prompt engineering education but also virtuous prompts that elicit cultivation of intellectual virtues.
Future Possibilities and Challenges of AI in Education
Authors: Kayyali Mustafa
Published: February 2024

“Future Possibilities and Challenges of AI in Education” delves into the unprecedented intersection of artificial intelligence (AI) and the educational landscape. The chapter navigates the transformative possibilities and intricate challenges that arise as AI infiltrates learning management systems. In this exploration, the symbiotic relationship between AI and education is dissected, revealing a dynamic environment teeming with potential. The chapter unfolds in two movements: envisioning a future where personalized learning, AI-enhanced creativity, seamless assessment, global collaboration, and ethical education thrive, and concurrently, acknowledging the uncharted difficulties that could reshape the foundational paradigms of education. As the world hurtles toward an era of automation and interconnected virtuality, understanding the effects of AI in education becomes important. This chapter beckons readers on a journey through the limitless potential of AI's impact on education, inviting reflection on how to harness its power responsibly for the betterment of learning.
Use of Generative AI Tools to Facilitate Personalized Learning in the Flipped Classroom
Authors: Zhen Huixin , Yahaya Wan Ahmad Jaafar Wan
Published: February 2024

With the development of technology, AI has been the subject of intense research in the field of education, with ChatGPT, the adoption of generative AI in education. But generative AI has only gained attention in the last few years. Therefore, there are not many research results on the application of generative AI in flipped classrooms, and there are many questions that need to be explored and verified by researchers. In this study, a flipped classroom combined with generative AI tools to promote personalized learning was studied. A theme in the music course was selected for course design and a pilot study was conducted. The results show that teachers and students have very different views on this research, and this phenomenon is summarized and analyzed, and finally some suggestions are made to help better use generative AI tools to promote personalized learning in the flipped classroom.
Generative AI Soaring in the Skies
Authors: Dinçer Nazmi , Demirdöken Gökhan
Published: February 2024

Several regulations in the aviation industry have been made by authorities to minimize the incidents due to language barriers; however, a more reasonable solution lies in equipping prospective pilots with necessary language skills in target settings. This requires a transformation in aviation English (AE) classrooms through the medium of emerging technologies. Accordingly, this chapter presents a novel strategy for rethinking AE instruction by using approaches from generative artificial intelligence. It investigates the ways in which prompt engineering and synthetic content production might be used to improve the efficacy of AE teaching. Learners may benefit from better language comprehension, communication skills, and situational awareness by seamlessly incorporating AI-driven language creation into the curriculum. Instructors could find examples of generative AI-driven classroom applications for improved learning outcomes. Considering these potential contributions to the field, this chapter may, in turn, innovate and uplift the AE courses and safety in the aviation industry.
Polarization in Consumer Behavior
Authors: Uyanik Meziyet
Published: February 2024

Polarizations in economic and social life caused by increasing income and wealth injustices worldwide also affect consumer behavior. In the polarization of consumers' lifestyles, at one end of the spectrum are the consumerist culture's representatives with ostentatious and exaggerated spending based on materialistic understanding. On the other hand, consumers who adopt an anti-consumption approach sensitive to social, environmental, or individual welfare, regardless of the necessity of economic difficulties or economic factors, are increasing rapidly. This study aims to conceptually evaluate the concepts of minimalist and materialist consumption, which represent two rising values regarding consumer behavior and are mutually exclusive, and to provide readers with a holistic perspective. In this context, in this study, the concepts of materialism, minimalist consumption, and anti-consumption were evaluated from environmental, social, and individual perspectives, and their effects on consumer welfare were discussed.
Consumer Culture and the Paradox of Choice in an Ambivalent Era of Emancipation of Individual Freedoms
Authors: Roubal Ondřej
Published: February 2024

Consumer culture in modern societies is interpreted as a culture that maximizes the freedom of consumer choice. The emancipation of individual freedoms in the form of consumer choice is positively associated with the growth of material standards of living and the affluence of a society. At the same time, an ambivalent situation arises in the form of unintended consequences, whereby customers with increasing freedoms in the areas of consumer choice run into problems making decisions and the paradox of choice, all in a landscape that is becoming less clear and oversaturated with options and opportunities. The goal is to contribute to a deeper understanding of the ambivalent character of contemporary consumer culture in the context of intensified individualization and external options for consumer choice. The authors also seek to propose a theoretical model of consumer mentalities that is more resistant to the negative effects of the paradox of choice. This model is based on the Epicurean consumption pattern of voluntary simplicity, reducing aspirations, and delayed gratification.
Critical Analysis on the Challenges of Product Distribution in Global Infrastructure and Value-Added Systems in Logistics and Supply Chain Management
Authors: MacLennan Helen , Lewis Eugene J. , Roman Jessica
Published: February 2024

In this critical analysis, the focus is on the nation's maritime port operations and international mode of transportation for Fixing America's Surface Transportation (FAST) Act of 2015 surrounding port distribution and logistics. The FAST Act requires the Bureau of Transportation and Statistics to report statistical data highlighting the challenges in global product distribution within infrastructure and value-added systems in logistics and supply chain management. The transportation costs estimate costs accounted for approximately 50% of the total logistics costs for businesses. Furthermore, fluctuations in fuel prices and increased demands for e-commerce shipping further emphasized the significance of cost challenges in global distribution. These disruptions underscored the complexity of managing a global network of suppliers, distributors, and customers. In this study, the researchers analyze 76% of companies still struggling with forecasting accuracy along with ongoing challenges in inventory management due to fluctuating consumer demand.
Tele-Dermatology Through Telehealth and Healthcare Internet Technologies
Authors: McLester Quatavia , Burrell Darrell Norman
Published: February 2024

In the United States (U.S.), the COVID-19 outbreak is still ongoing. As a result, medical professionals are increasingly turning to new forms of technology and innovation to provide therapy to patients requiring medical assistance. This pattern is anticipated to maintain its prevalence well into the foreseeable future. The standard wait time for a new patient to be seen by a dermatologist in the United States is 33 days; however, the standard wait time in rural areas is 96 days. By conducting a content analysis of the pertinent published literature, this research aims to study the potential of telemedicine technology to serve the growing demand for dermatology among patients. Tele-dermatology is a crucial tool to expand healthcare access and reduce health disparities by enabling timely and equitable dermatological care, especially in underserved and remote areas through emerging and innovative healthcare technologies.
Organizational Dynamics and Bias in Artificial Intelligence (AI) Recruitment Algorithms
Authors: Omar Marwan , Burrell Darrell Norman
Published: February 2024

The integration of artificial intelligence (AI) into recruitment processes has promised to revolutionize and optimize the hiring landscape. However, recent legal proceedings have shed light on the alarming implications of AI algorithms in the employment sector. This chapter delves into a significant case study where African American, Latina American, Arab American, and other marginalized job applicants and employees filed a 100-million-dollar class action lawsuit against a prominent organization, Context Systems. The suit alleges that AI screening tools, entrusted with the crucial task of selecting candidates, have been marred by programming bias, leading to discriminatory outcomes. This case study critically examines the multifaceted problems arising from bias in AI algorithms, revealing their detrimental effects on marginalized communities in the employment sector. By scrutinizing this pivotal case, the authors aim to provide insights into the urgent need for transparency, accountability, and ethical considerations in the development and deployment of AI-driven recruitment tools.
Nuclear Power Organizations as Learning Organizations Around Cybersecurity, Public Health, Public Safety, and Critical Infrastructure Protection
Authors: Weitoish Tiffany , Burrell Darrell Norman
Published: February 2024

In an era characterized by rapidly evolving threats to cybersecurity, public health, and public safety, the imperative for nuclear power organizations to adapt and excel has never been more pronounced. This inquiry delves into the critical journey of transforming nuclear power organizations into learning organizations that are resilient and highly effective in safeguarding against cybersecurity threats and adeptly managing incidents, planning, and recovery. Leveraging the rich insights derived from qualitative focus group research, this study unveils a comprehensive framework of best practices tailored to the unique challenges nuclear power organizations face. Moreover, the study highlights the significance of organizational commitment to the principles of organizational learning, the seamless integration of learning into daily operations, regular assessments of organizational capacity and competence, and the unequivocal expression of an organizational commitment to learning.
Why Historically Black Colleges and Universities (HBCUs) Should Employ New Approaches to Cybersecurity Faculty Development
Authors: Burrell Darrell Norman , Webber Cedric Dewayne
Published: February 2024

The demand for specialized computer science degrees, particularly cybersecurity, has surged within educational institutions, presenting a significant challenge in the quest for well-qualified instructors. These emerging dynamics underscore the critical role of instructors in shaping and delivering relevant and comprehensive course experiences to mold adept security technologists. This chapter delves into the contemporary educational landscape, marked by the rapid expansion of the digital domain and an escalating need for cybersecurity professionals. Historically Black Colleges and Universities (HBCUs) are at the epicenter of an imperative. To meet the burgeoning demand for cybersecurity expertise, they must cultivate a new generation of cybersecurity faculty and graduates equipped to navigate the challenges of the digital age. The chapter explores innovative faculty development approaches in cybersecurity, addressing the need for educators to align their teaching with industry practices and equip students with the skills to thrive in this dynamic field.
Residential Electricity Consumption Prediction Method Based on Deep Learning and Federated Learning Under Cloud Edge Collaboration Architecture
Authors: Wang Wei , Wang Xiaotian , Ma Xiaotian , Zhao Ruifeng , Yang Heng
Published: February 2024

Traditional residential electricity prediction methods have problems, such as difficulty in ensuring user privacy and poor convergence speed due to the influence of Different Residential Electricity Consumption (REC) habits. A REC prediction method based on Deep Learning (D-L) and Fed-L under the Cloud Edge Collaboration (CEC) architecture is proposed to address the above issues. First, based on the CEC architecture, combining edge computing and cloud computing center server, the overall model of REC prediction is built. Then, Federated Learning (Fed-L) and D-L model Empirical Mode Decomposition - Long Short-Term Memory (EMD-LSTM) were introduced on the edge side, and the edge side Fed-L depth model was personalized by using EMD-LSTM. Finally, aggregation of edge side models was achieved in the cloud by receiving encrypted model parameters from the edge side and updating and optimizing all edge side models. The results show that the proposed method has the highest REC prediction accuracy, reaching 96.56%, and its performance is superior to the other three comparative algorithms.
Smart Campus and Student Learning Engagement
Authors: Chen Shaobin , Li Qingrong , Wang Tao
Published: February 2024

This study aims to assess the implementation of smart campus and the students' learning engagement at Zhongshan College, China. A well-structured questionnaire was developed, and information was collected from 277 students and 377 teachers. The results indicate that both groups of respondents highly agree on the construction levels of the smart campus in terms of security operations, academic technology assistance, public relation services, and stakeholders' experience. Furthermore, respondents emphasized that the level of smart campus construction affects students' learning engagement. Specifically, students' personalized learning engagement is affected by the level of smart campus construction in security operations and public relations services. And the degree of students' use of smart learning resources is significantly related to the smart campus construction levels in all four dimensions. This study fills research gaps and provides valuable guidance for the development of smart campuses.
Research on 5G User Perception Detection and Experience Improvement Optimization Based on Capsule Network
Authors: Yu JianTong , Li Li
Published: February 2024

COVID-19 caused a global public disaster as well as an economic crisis, and other challenges. The fifth-generation network, or 5G, connects practically every machine, person, and thing on the planet. We can analyse the public's opinions and sentiments connected to COVID-19 from 5G user-generated content on social media, which will eventually aid in promoting health intervention strategies and designing successful projects based on public perceptions. The BERT language model is first used to preprocess data that has been obtained from Sina Weibo. Following that, the features of the preprocessed data are chosen using a class-wise information technique. Finally, a capsule network (CapsNet) approach is used to identify the 5G user perception and experience optimization. Dynamic routing algorithm is used for optimizing the capsule network. By comparing the suggested framework's performance with certain existing approaches, its effectiveness is evaluated. Simulation results show that the proposed method is more accurate than previous approaches at identifying 5G user experiences.
The Consequences of Gamification in Mobile Commerce Platform Applications
Authors: Bouzaabia Olfa , Ben Arbia Mohamed , Juárez Varón David Juarez , Chui Kwok Tai
Published: February 2024

Gamification in mobile apps has a research gap, given the potential for gamification to enhance user repurchase intention in a mobile commerce context. This research investigates the concept of gamified m-commerce platform application through the lenses of customer experience and repurchase intention. The study proposes an empirical model to examine the relationship between hedonic value, utilitarian value, customer experience, and repurchase intention in the context of mobile commerce platform application. It is underscoring the importance of exploring the application of gamified m-commerce platforms and their impact on customer experience and repurchase intention. The findings contribute to the existing body of literature on online retail by offering new insights into the implications of gamified m-commerce platform applications. A quantitative research approach was employed, and an online questionnaire was used to gather data. The collected data from a sample of 270 mobile commerce shoppers was analyzed. The results supported all direct hypothesized associations among variables.
Mechanical Design Using Open-Source Software (Eigenvalue Analysis by Parametric Study)
Authors: Gonda Takeshi , Yakabe Masaki , Hayamizu Yasutaka , Morita Shinichi , Kawabe Toshihiko , Nishinaka Kento
Published: February 2024

In this paper, to confirm the effectiveness and validity of the open-source software Salome–Meca, we constructed and operated Salome–Meca in a design/development environment and performed basic problem solving and eigenvalue analysis, as well as structural analysis. A parametric study was then carried out in collaboration with the open-source software Dakota. Analysis results of Salome–Meca matched both theoretical values and analysis results of ANSYS. Furthermore, the parameter research in Dakota confirmed the eigenvalues and deformation behavior of a pump column pipe as each variable in Salome–Meca was changed; moreover, Salome–Meca and Dakota executed a series of analysis operations normally and automatically. Therefore, Salome–Meca and Dakota are expected to optimize the shape of a structure while avoiding resonance points at natural frequencies.
Vocal cord medialization and Sulcus-vocalis surgical management
Authors: Herath H. M. P. U. , Drahaman A. M. P. , Perera M. B. , Lakshan M. T. D.
Published: February 2024

Complete or partial paralysis of one or both vocal cords can significantly affect a patients phonation ability as well as risk aspiration. Sulcus vocalis is a condition where there is a groove running parallel to the edge of the vocal cord extending from the anterior commissure to the anterior edge of the vocal process of the arytenoid cartilage. Injection laryngoplasty (IL) is a minimally invasive technique which can successfully deal with both of the above-mentioned conditions directly as well as indirectly with only a slight modification in technique using autologous ‘insulinated fat’. Additionally, when treating sulcus vocalis, cold steel dissection of the sulcus through a small parallel incision was preferred without subsequent mucosal suturing. Using 2 surgeons (4 hand technique) improves precision of instrumentation when using a high-definition rigid bronchoscope through a suspension laryngoscopy setup. This is needed especially for precision injection of long-term injectables in injection laryngoplasty.
Design, Analysis, and Optimization of Off-Highway Rear Dump Truck
Chassis Frame Rail Profile Using Design Exploration and Finite Element Analysis
Technique
Authors: J Avinash
Published: February 2024

During mining material hauling, the chassis frame structure of rear dump trucks
is subjected to fatigue loading due to uneven road conditions. This loading
often leads to crack propagation in the frame rails, necessitating the
determination of stresses in the critical zone during the design stage to ensure
structural integrity. In this study, a computer-aided engineering (CAE)
methodology is employed to size and select the rectangular profile cross section
of the chassis frame rail. A detailed design investigation of the chassis frame
is conducted to assess its load resistance, structural flexibility, and weld
joint fatigue life under critical stresses arising from combined bending and
torsion loads. The optimization process aims to determine the optimal rail size
and material thickness, striking a balance between minimizing mass and
maximizing structural reliability. By achieving this, the risk of major
structural failures during the transportation of large payloads can be
significantly reduced. To address the demand for extended structural life and
reduced chassis frame weight, the frame rail cross section is optimized using a
multi-objective genetic algorithm (MOGA) implemented within the ANSYS software
package. This optimization process is facilitated by utilizing design
exploration studies and finite element analysis (FEA) techniques to understand
how stress affects the chassis frame of a vehicle when it is subjected to
combined bending and torsion load case. To do this, the research study used a
combination of analytical calculations, mathematical modeling, and design
exploration studies.

The research findings highlight the effectiveness of combining empirical
approaches with modern CAE tools, enabling engineers to design and analyze
complex structures with optimized sizes and weights suitable for off-highway
mining applications.

Through the utilization of this integrated approach, significant advancements can
be made in enhancing the structural performance and efficiency of chassis frame
structures in the demanding off-highway mining industry.
Surface Modification Effect of Magnesium Alloy by Friction Stir
Processing
Authors: Prabhu M. K. , Sivaraman P. , Ajayan Adarsh , Nithyanandhan T. , Ilakiya P.
Published: February 2024

This article explores the impact of friction stir processing (FSP) on the surface
modification of magnesium alloy AZ91D. The purpose is to enhance the alloy’s
surface qualities and, consequently, improve its performance in various
applications. Using FSP, the microstructure and mechanical characteristics of
the magnesium alloy are improved through solid-state joining. The study assesses
the impact of FSP parameters on the alloy’s surface properties. Researchers
adjust parameters such as tool rotation speed and traverse speed to achieve
accurate FSP conditions for the intended surface alterations. The surface
characteristics of FSP-treated magnesium alloy AZ91D are evaluated through
detailed analyses, including microstructure, surface roughness, hardness, and
wear resistance. The study considers the effect of FSP on grain development and
microhardness, which reflect the immediate impact on surface properties. The
study also examines how nano-sized boron nitride (BN) particles are distributed
and dispersed during FSP. The addition of BN particles to the alloy through FSP
is intended to further improve surface characteristics and wear resistance. The
research concludes that FSP has the potential to modify the surface of magnesium
alloys, resulting in surfaces with improved properties such as increased
hardness, reduced surface roughness, and greater wear resistance. This study
contributes to the development of high-performance magnesium-based materials,
particularly in the automotive, aerospace, and electrical engineering sectors.
FSP can expand the range of applications for magnesium alloy AZ91D and improve
its overall performance.
Acceleration Slip Regulation of Amphibious Vehicle Driven by Four
Wheel Hub Motor for Landing
Authors: Huang Bin , Xu Jialuo , Yuan Zhijun , Wei Lexia
Published: February 2024

Amphibious vehicles with both land and water navigation functions have extremely
high application value in the military and civilian fields. In order to fully
utilize the wheel driving force and ensure the smooth landing of the amphibious
vehicle driven by four wheel hub motor, an acceleration slip regulation (ASR) is
designed under the condition of landing from water. First, the road friction
coefficient is identified based on the back propagation neural network (BPNN).
Then, utilizing the improved Burckhardt model, the current optimal slip ratio is
calculated from the identified road friction coefficient. Finally, the ASR under
the condition of landing from water is designed based on radial basis function
(RBF) single neuron adaptive PID control algorithm. By analyzing the process of
amphibious vehicles transitioning from water to land, a typical working
condition for amphibious vehicles landing is established, and a joint simulation
is conducted using CarSim/Simulink. The simulation results indicate that, using
the BPNN, the road friction coefficient of the typical working condition can be
accurately identified. Compared to without ASR, after applying the ASR designed
in this paper, the landing time of the amphibious vehicle is reduced by 7.5 s,
and the final climbing velocity is increased by 7 km/h. After applying the ASR,
the power performance of the amphibious vehicle during landing is improved,
demonstrating that this ASR has significant practical application value.
From Dalmatia to the North Sea, and from Stonehenge to Artificial Intelligence
Authors: Novaković Predrag , Gaffney Vincent
Published: February 2024

Vincent Gaffney (born in 1958) is a British archaeologist. In his 40-year career he has worked as a contract field archaeologist, museum curator, researcher and university professor at both Birmingham and Bradford. His expertise includes landscape archaeology, marine landscapes, remote sensing, GIS, computer visualization and communication. He has been awarded several prizes for his outstanding research achievements, among them the British Archaeological Award for the Best Book (2010) and European Archaeological Heritage Prize of the European Association of Archaeologists (2013), as well as an MBE in 2018, making him a Member of the Most Excellent Order of the British Empire. His close collaboration with Slovene and Croatian archaeology dates from the mid-1980s and is still continuing.
Suicidios en prisión: algunas tareas pendientes
Authors: Markez Iñaki , Gordaliza Ana , Casaus Pilar
Published: February 2024

Resumen: En la actualidad el suicidio es un auténtico problema de salud pública a nivel mundial y la primera causa de muerte no natural en España. Sin pretender una investigación exhaustiva sobre el tema, que excedería los límites de este artículo, se realiza una revisión general del concepto y un breve análisis crítico del modo en el que se recopilan los datos: se trata de un fenómeno infravalorado y es necesario mejorar la fiabilidad de las cifras manejadas. Tras recopilar la información oficial sobre el suicidio en la población penitenciaria española, con una tasa significativamente superior a la de la población general, se recogen los factores de riesgo y de protección a tener en cuenta para mejorar las políticas preventivas. Se cierra la exposición con un inventario de buenas prácticas que la Institución Penitenciaria no solo debe incorporar al Programa Marco de Prevención de Suicidios, sino también velar por su cumplimiento efectivo; para ello es imprescindible la detección precoz y la coordinación de los profesionales penitenciarios con la Red Sanitaria Pública.