bluuebunny/crossref_metadata_2025 huggingface dataset:
Les missions étrangères au Siam à la fin du xvii e siècle : enjeux religieux et politiques
Authors: Marin Catherine
Published: February 2024

Pourquoi et comment les Missions étrangères de Paris, fondées en 1658, se retrouventelles au Siam en 1660, alors que les premiers vicaires apostoliques nommés par Rome devaient rejoindre le Tonkin, la Cochinchine et la Chine ? Trois raisons expliquent ce choix d’une première implantation missionnaire de cette Société de prêtres séculiers en Extrême-Orient. En premier lieu, les voyages maritimes et terrestres de ces trois prélats se rejoignent en ce royaume du Siam où, deuxièmement, l’accueil du roi, intéressé par cette présence européenne, les incite à demeurer et à fonder une sorte de « base arrière » des missions d’Asie, apprenant à leur arrivée, troisième raison, que les pays du Tonkin et de Cochinchine étaient fermés aux missionnaires. Ainsi, à la suite du Synode de 1664 qui s’est tenu à Ayuthia, une demande est adressée à Rome afin d’ériger un vicariat apostolique au Siam, qui nomme en 1673 Louis Laneau qui sera le fondateur et l’organisateur de la mission du Siam.
Un affare metropolitano. Reti sociali e mercato degli appalti nel regno di Napoli al tempo delle nuove imposizioni (1481-1485)
Authors: Morra Davide
Published: February 2024

[it] Fra le occasioni che i poteri signorili e municipali ebbero nell’Europa tardomedievale per esercitare un ruolo di mediazione politico-amministrativa all’interno di stati territoriali c’è l’appalto di tasse indirette locali. Questi affari, gestiti secondo una logica “autarchica”, tendevano a costituire un campo d’azione privilegiato per élites a radicamento locale, anche se il raccordo con i poteri superiori era sempre necessario e produsse vari gradi di compromesso a seconda dei contesti. Qui si esamina il caso del regno di Napoli, dove fra 1481 e 1485 una radicale riforma modificò la struttura del mercato degli appalti e produsse una nuova gerarchia della partecipazione.
Using AI Technology to Create an Inclusive Environment for Diverse Online Learners
Authors: Liu Youmei
Published: February 2024

As online learning continues to gain prominence, it becomes crucial to ensure that online educational platforms are designed to be inclusive and accessible for diverse learners. It is very important for instructors to understand the characteristics of learners and design a learning environment that provides equitable opportunities for learners with diverse backgrounds, abilities, and learning styles. Technology is indispensable for online education. This chapter will explore various strategies and considerations for implementing inclusive design principles using AI technology to create online learning environments in three areas: 1) learner-centered course design, 2) building sense of community and sense of self-belonging in online course, and 3) strategically integrating AI technology to enhance the quality of online education.
Creating an Accessible Learning Environment for P-12 English Language Learners in Traditional and Online Learning
Authors: Lin Shu-Yuan , Huang Tengzhang , Lu Tingxuan
Published: February 2024

In this chapter, the authors propose a framework designed to enhance access to learning for English language learners (ELLs) in U.S. P-12 schools. This framework is grounded in the foundation of second language acquisition, incorporating universal design for learning and multimedia principles. They discuss how to use this proposed framework to create an inclusive and accessible learning environment. Specifically, they focus on access to digital instructional materials, content instruction, and assessments, all of which significantly impact the performance and attainment of ELLs in schools.
Rethinking the Liberal Arts General Education
Authors: DuRocher Kristina A.
Published: February 2024

This chapter focuses on the value of a liberal arts education by considering how this educational model functioned in the past, how various stakeholders currently view it today, and how to reconceptualize general education from the current distributive model. By delving into the historical context while maintaining a clear understanding of the present, we can engage in a thoughtful analysis of existing challenges. Addressing present-day shortcomings can be effectively accomplished through a liberal arts-based general education, which has the potential to fulfill the global requirement for informed and engaged global citizens, the national need for an inventive workforce, and students' aspiration for profound higher education experiences.
Emotionally Strong Leadership and the Revision of General Education
Authors: Xavier Malia Spofford
Published: February 2024

The landscape of higher education in the United States is continually evolving, with the recent disruptions caused by the COVID-19 pandemic emphasizing the need for adaptable and student-centered curricula. At the heart of undergraduate education, general education programs play a crucial role in providing students with a broad foundation of knowledge and skills that transcend disciplinary boundaries. However, challenges in designing, communicating, and assessing the value of general education arise in almost every institutional context. This chapter examines the urgency for timely and accelerated gen ed revisions, the obstacles faced by institutions, and the potential of emotionally strong leadership informed by principles of emotional intelligence (EI) to drive expedited and meaningful curricular innovation. Through an in-depth case study of a small private liberal arts college, the chapter explores how emotionally strong leadership can facilitate effective and accelerated change in the midst of traditional shared governance structures.
An Overview of 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.
Analysis and Applications Finding of Wireless Sensors and IoT Devices With Artificial Intelligence/Machine Learning
Authors: Ramya R.
Published: February 2024

Wireless sensor devices and IoT (internet of things) devices are two interconnected technologies that have revolutionised the way we interact with our surroundings. These devices are at the forefront of the digital transformation and are instrumental in creating smart and connected environments. This chapter first discussed the basics of wireless sensor devices and IoT devices, with pros and cons. Second, it discussed the major differences between the two; third, the major real-time applications of both types of devices are discussed, and fourth, the discussion about the use of AI and ML algorithms in these devices with detailed explanations of major algorithms are presented. Finally, there is a discussion about the future scope of both wireless sensor devices and IoT devices with AI and ML. Through this chapter, one can learn about different kinds of devices for different applications with various AI and ML algorithms. The future smart world requires many more smart devices for various applications. This chapter can provide a clear understanding of various devices and applications for the future smart world.
Multilevel Vehicle Allotment and Retrieval System Using IoT
Authors: Mudaraddi Neetha S. , Mudengudi Shailaja , Patil Muktha S.
Published: February 2024

This chapter aims to automate the system of vehicle parking with less human interference. This busy world has brought people to a state of no patience, and advancement in technology, fortunately, is favoring the need to save time and energy. The area fitted with sensors provides an efficient way to park the vehicles automatically knowing details of the available slot, which is the target of this project. In addition to this is the IoT implementation to the system which is an advancement in knowing the status of the parking lot even before entering into it. This is illustrated using an application where we get the information about the availability of the slot even before physically entering the parking lot. In addition to it, there will be a multilevel parking facility for the vehicles parked into the lot. These all together comprise the entire working of the project.
Affluent Cities and Digitalization
Authors: del Mar Martínez-Bravo María , Labella-Fernández Ana
Published: February 2024

Urban development literature has gained great traction due to the unprecedent challenges that cities face, and digitalization has been signaled as a game-changer against these challenges. However, the effects that urban digitalization might have on the economic prosperity at city-level remain unexplored. This research analyzes the bidirectional relationship between the digitalization degree and the economic situation of a city, based on a sample of 404 cities. The analysis resulted in confirming the positive bidirectional relationship between digitalization levels and the city's economic condition. If the economic prosperity of a city increases, so does its level of digitalization and if cities embrace and integrate digitalization, there is a positive impact on their economic growth. Thus, economic development and technological advancement mutually reinforce each other in urban contexts. This study not only aims to nurture the urban literature, but also to shed light on the shift towards the cities of the future.
Digitalization in Business Process Management
Authors: Kous Katja , Polančič Gregor
Published: February 2024

This chapter is centered on investigating the usability of process modeling tools, which are fundamental components of business process management (BPM). It is structured into two main sections. The first part offers a theoretical overview of the lifecycle of business process management, the concept of business process modeling, and various notations for process modeling. Furthermore, the chapter presents the key knowledge of BPMN and the tools for business process modeling, along with a comparative analysis of the investigated tools. The second part of the chapter is dedicated to evaluating the usability, focusing on users' perspectives, of three process modeling tools, categorizing them into web-based and desktop-based solutions, namely Camunda Web, SAP Signavio, and Camunda Desktop. The research results indicate that Camunda Web garnered the highest scores for usability, perceived usefulness, and perceived ease of use, and it was also the most preferred choice for modeling BPMN diagrams among participants.
Performance Evaluation of Digital Platform Business Models
Authors: Mahakalanda Indrajanaka , Siriwardena Ishari
Published: February 2024

The motivation of this study stems from the need to evaluate the platform business model design criteria to maximize benefits to all stakeholders. The authors develop an evaluation framework for platform business models incorporating sustainability as one of the dimensions of ontology. This design criteria evaluation framework is based on the analytical hierarchy process. The authors consider five main criteria and 12 sub criteria. A case study was performed by taking responses from nine experts attached to different digital business platforms. Product innovation receives a weight of 31.8%. This follows customer relationship and financials with weights of 26.4% and 23.8% respectively. The lowest weight is assigned to sustainability. The effect would be somewhat consistent with the existing literature, only over a shorter time scale within which the above results may be acceptable. While only preliminary, this ranking suggests that developments along these lines may be important in creating a pre-evaluated criterion that is acceptable to informed decision making process of a firm.
How Do Digital Transformation and Environmental Sustainability Innovations Intertwine?
Authors: Arun Korhan , Özmutlu Saniye Yildirim
Published: February 2024

By integrating digital technologies and sustainable practices, organizations can enhance their environmental performance, contribute to environmental sustainability, and create innovative solutions to address environmental challenges. Thus, the main aim of this chapter is to shed light on the effects of digital transformation on environmental sustainability innovations. The data were collected from the 1st, 2nd, and 3rd Party Logistics (PL) companies registered with the International Transporters Association (UND) in Turkey. Data were collected from mid-level managers of these companies by administering a questionnaire. Relationships have been analyzed with the help of partial least squared-based structural equation modeling, correlations, and path analysis. The investigation results have found that logistics firms' high level of digital transformation is the strongest predictor of adopting sustainability innovations. This study provides a valuable contribution to the emerging fields of supply chain sustainability and the digitalization of environmental sustainability innovations.
Assessing the Operational Effectiveness of Chemical Companies in Advancing E-Waste Management and Development
Authors: Pulla Sahini Reddy , Kandula Prakhyath
Published: February 2024

This chapter studies Indian chemical sector efficiency and productivity from a sustainable development perspective. This study explores Indian chemical companies' innovative potential, operational efficiency, financial and human resource management techniques, and successes and challenges. The analysis focuses energy efficiency in production to reduce environmental harm. It emphasises the need for good waste management to reduce electronic waste and promote recycling. The report also emphasises the necessity of competent labour and solid financial management for corporate growth. Finally, it stresses how technology and new industrial methods boost efficiency. Using academic and empirical data, the chapter provides policymakers, industry executives, and researchers with valuable ideas to improve the sustainability and efficiency of the Indian chemical sector. It emphasises the need for collaboration to develop and implement sustainable economic and environmental solutions.
E-Waste Management for Sustainable Development
Authors: Islam Md. Shafiqul , Haque A. K. Md. Jawadul
Published: February 2024

Continuous e-waste generation causes harms to the environment and the economy. This study aims to explore e-waste management systems in the private commercial banks in Bangladesh and ways to reduce e-waste generation and sustainable solutions of e-waste management. The rapid economic growth and establishment of commercial private banks has created a market for computers, consumer electronics, and household appliances in Bangladesh. This study looks into the generation of e-waste growth rate and remedial measures. The e-waste is harmful to human health and for the environment. Barium and lithium are examples that affect brain, heart, liver, kidneys, and skeletal system. It's critical to raise awareness about the dangers of inappropriate e-waste disposal. E-waste must be recycled properly to have a low environmental impact. It was found that banking generated 2176.30 tons of e-waste. Results showed statistically significant growth rate. Buy back guarantee and bring your own device may be options for e-waste reduction.
Nanotechnology for Sustainability
Authors: Challa Yashaswini Reddy , Priyanka Nandaram , Preethi Lahari S. , Surya Elesetty
Published: February 2024

Nanotechnology is one of the most relevant technical factors that have applications in different types of industrial sectors, and it seems to have a consistent scope of technical innovation that focuses on technical derivation with sustainable outcomes. In this study, the perception of nanotechnology and its prominent usage with potential outcomes in different industrial activities has been derived. In addition to this, the study has also reflected on the advantages along with some of the negative factors that come with nanotechnology and its integration. The study helps to evaluate the perception of understanding nanotechnology along with the purpose of evaluating the correlation between the social specifications and commercial attributes.
AI-Driven Data Analytics in Information Sciences and Organizational Management
Authors: Yilmaz Ayse Asli
Published: February 2024

The integration of many technologies has led to the emergence of a rapidly evolving discipline known as ‘AI-driven data analytics.' This enables both information scientists and organisational managers to effectively derive practical insights from intricate datasets by using machine learning algorithms, natural language processing, and data mining techniques. This encompasses an examination of machine learning algorithms and their function in revealing patterns and associations in data, along with the importance of natural language processing in extracting insights from unstructured textual data. AI-powered data analysis and visualisation and facilitates predictive analytics—all while augmenting the transmission of intricate data via interactive visual representations—are analysied. This chapter presents a thorough examination of the transformational potential of artificial intelligence (AI) in the field of data analytics. It highlights the dynamic characteristics of AI and emphasises the boundless opportunities it presents in the contemporary digital era.
Smart Tourism Narratives
Authors: Sandhya H. , Varghese Bindi
Published: February 2024

The tourist sector is going through a transformational change in the modern digital era. An in-depth analysis of the shifting paradigms that have arisen at the nexus of technology and tourism is provided in this systematic assessment of the literature. The chapter examines the crucial impact that cutting-edge technologies like the internet of things (IoT), metaverse, artificial intelligence (AI), data analytics, virtual reality, augmented reality (AR), and blockchain have had on changing travel patterns. The combination of these technologies enables destination stakeholders to manage resources more effectively, personalizes and streamlines the traveler experience, and provides policymakers with tools for data-driven decision-making. This research adds to the current discussion on how the tourist business is changing in the digital era by shedding light on the shifting paradigms, possibilities, and problems in the field of smart tourism.
Intelligent Industry 4.0
Authors: Dileep Kumar M. , Yap Alan Cheng Tat , Govindarajo Normala S. , Tamah Alice , Sharma Vinod
Published: February 2024

Industry 4.0 has witnessed several changes in the way the industries are operating with technology applications and computational intelligence. Industrial automations and decision makings are augmented with artificial intelligence (AI) and robotic process automation (RPA) is reaping several benefits in the form of improvement of operational, organisational and business processes. The objective of current work is to explore the scenario of RPA and AI in varied fields of industry and management and improve the organisational, business and operational functionality with the support of machine learning (ML), deep learning (DL) and network linguistic programs (NLP with the use of algorithms. Deliberations have been made in the paper stating the uses, differentiation, trends, and applications of RPA and AI, in management and industry. The chapter supports the advancement of the body of knowledge detailing the theoretical implications of computational intelligence.
Empowering Educators With Generative AI Tools and Support
Authors: Chaivisit Sarinporn , Asino Tutaleni Iita , Jongsermtrakoon Sukanda , Thompson Penny , Rezaie Fatemeh , Siripipattanakul Sutithep
Published: February 2024

This chapter explores possible ways educators can use generative AI tools and support to empower them in teaching and learning. In addition, the authord provide samples of appropriate prompts for educators to produce desired responses. With the potential of generative AI to create unique content instantly based on existing large datasets, educators can use it to co-create instructional content, enhance personalized learning experiences, evaluate learners' performances, and more. While highlighting the potential of generative AI, the authors also address the challenges that educators may face when using these tools. As generative AI is gaining popularity in classrooms, it has the potential to empower educators to revolutionize their teaching and transform education.
Generative Artificial Intelligence as Academic Assistant
Authors: Balat Şener , Yavuz Mehmet , Kayalı Bünyami
Published: February 2024

The study conducted a literature review focusing on the role of generative artificial intelligence (GAI) utilized as an academic assistant. Within the scope of the research, the opportunities and challenges presented by GAI-based academic assistants to researchers, along with a detailed examination of tools used in the research process, were intended to be explored. It was emphasized that artificial intelligence applications used in academic writing processes have the potential to expedite tasks such as performing repetitive functions, literature reviews, data analysis, and document organization effectively. This situation was noted to offer a range of advantages for students and researchers. However, it was underscored that considerations regarding accuracy, reliability, and ethical concerns must be considered. Factors limiting the effectiveness of GAI in academic writing processes, such as limitations in language understanding, concerns about ethical violations, and difficulties in selecting appropriate data visualization, were discussed.
Empowering Faculty Vitality and Mitigating Burnout Through Generative AI in Higher Education
Authors: Ybarra Stacy
Published: February 2024

In today's dynamic landscape of higher education, the pervasive issue of faculty burnout has emerged as a pressing concern, casting a shadow over the well-being of educators and the overall quality of instruction. This chapter proposal embarks on an exploration of how generative artificial intelligence (AI) can act as a transformative force within higher education, specifically focusing on its potential to empower faculty members, enhance pedagogical practices, and mitigate the alarming prevalence of burnout. The chapter's central objectives are multifaceted, commencing with a comprehensive examination of the multifaceted phenomenon of faculty burnout. This includes an analysis of the contributing factors such as the escalating workloads, the shift towards online and blended learning modalities, and the overwhelming administrative duties that educators must shoulder. The aim here is to illuminate the multifaceted nature of burnout, thereby fostering an enhanced understanding of its urgency and the critical need for sustainable solutions.
Transforming Education
Authors: Machado Andreia Bem , dos Santos João Rodrigues , Sacavém António , Sharma Ramesh , Cruz Rui Nunes
Published: February 2024

Generative AI systems are increasingly present in our daily lives, helping us make crucial decisions. They use machine learning algorithms and tools, fed with millions of data collected from the web, producing entirely new information and generating variations. And this is not just limited to texts — it can produce images, audio, videos, even code, or new programming languages. There are several fields where generative AI can have a considerable impact in the coming years. In this context, the issues proposed in this chapter are: What is generative AI? What is prompt engineering? How to transform education using generative AI and prompt engineering in creating synthetic content? To respond to the research problem, the following objective will be achieved: Investigate how to transform education using generative AI and prompt engineering in the creation of synthetic content. It is concluded that generative AI tools can also help create more efficient exercises. Teachers and educators can use technology to create instructional materials and present summaries of concepts.
A Literature Review on the Development of Fintech in Southeast Asia
Authors: Truong Ngoc Hai
Published: February 2024

Financial technology, aka Fintech, is poised to be the driving force of Southeast Asian economies in the future. While there are numerous studies of the development of Fintech in each ASEAN country, there has been a noticeable absence of a comprehensive report encompassing those nations as a whole. Hence, this report aims to scrutinize and analyze the development of Fintech in those ten nations in various aspects such as market size, Fintech adoption rate, types of Fintech, main players, new start-ups, technical infrastructure, government policy and regulation, the impact of Fintech on the local economy, security concern, and future trends meticulously. In order to achieve this objective, this study mainly uses a systematic review methodology with data from various trusted secondary sources such as governmental agencies, the World Bank, and academic studies. The results also reveal that Fintech in most ASEAN countries has grown significantly during the past years. Furthermore, specific recommendations for governments to foster their respective Fintech markets will be proposed.
Where Is Digital Retailing Evolving?
Authors: Köksal Cansu Gökmen
Published: February 2024

This study delves into the intricacies of digitalization in the retail industry and how it has evolved with the onset of the industrial revolution. It explores the dynamics of this process and proposes several frameworks for categorizing digital retailing technologies. Additionally, the study highlights the core technologies that are integral to this transformation. Moreover, it examines the shift from conventional retail practices to metaverse retailing, showcasing the distinctive attributes of this model. Lastly, the research delves into the factors that are set to shape the future of retailing and offers recommendations for further exploration in this area.
Novel Forms of Consumption in the Postmodern Era
Authors: Ertz Myriam , Addar Walid , Sultan Asmaah
Published: February 2024

This chapter discusses collaborative and creative consumption. Collaborative consumption is the exchange of goods and services between individuals and challenges the fundamental concept of ownership. It is closely linked to the circular economy, promoting product lifetime extension and resource mutualization, which contribute to reducing environmental impact. Companies are working to adapt to this trend by rethinking their business models. In contrast, creative consumption refers to the (mostly digital) ecosystem in which consumers use digital tools and services to become active creators of original content primarily disseminated across various online platforms. Creative consumption is also tangential to consumers' design, creation, marketing, remarketing, and reutilization of products using traditional approaches (e.g., production and self-production) or technologies such as 3D printing. The chapter also deals with co-creation, which involves consumers partnering with organizations throughout the product or service life cycle from design to disposal.
Barricades and Hindrances Concerning Women Managers in Healthcare Cybersecurity and Technology
Authors: Burrell Darrell Norman , Graf Danielle Gervacio , Espinoza Michelle D. , Mondala-Duncan Maria , Servidio Arden E. , Weitoish Tiffany , Daryousef Marlena
Published: February 2024

Amidst the prevailing scarcity of personnel and leaders within healthcare cybersecurity and technology management, the demand for bolstering the ranks of professionals in these domains has reached unprecedented significance and urgency. Enlisting women leaders and those from diverse backgrounds is imperative to address the deficiencies in workforce development and devise pioneering business strategies. The endeavor to effectively confront the most formidable issues about organizational technology management strategies necessitates women's active participation and contributions. This chapter embarks on a comprehensive exploration of the hurdles, intricacies, and innovative methodologies pertinent to the advancement of women into executive and supervisory positions within the domains of information technology and healthcare cybersecurity.
Healthcare Information Systems (HCIS) Customer Patient Advocacy
Authors: Lewis Eugene J. , Cruz Ramona R.
Published: February 2024

The cyber health deficiencies from customer patient advocacy did not exist until September 2021. The exploratory research focuses on a recent conference advancing in healthcare equity through policy and practice from the lenses of the University of Washington Continuing Education Conference held on 19-20 October 2023. The conference consisted of professionals in the state of Washington who are physicians, nurses, and other medical personnel. It provided insights into the general trends and issues related to patient advocacy in the healthcare industry. In this research study, the authors discuss the statistical challenges and lack of aid in resolving disputes within healthcare providers, understanding insurance coverage, and ensuring that informed consent is obtained for medical procedures for prospective customers.
Cybersecurity in Connected Autonomous Vehicles
Authors: Burton Sharon L.
Published: February 2024

Multifaceted ramifications of integrating connected and autonomous vehicles (CAVs) into the transportation systems pose a complex puzzle, with no easily discernible solutions regarding their impact on traffic efficiency and safety. Arriving at a clearer understanding requires exhaustive assessments of the performance of mixed traffic involving AI and CAVs is imperative, as it holds the potential to furnish invaluable insights. The role of connectivity looms large in this context, as it wields the power to substantially enhance both road safety and traffic management, with spill-over advantages affecting congestion mitigation and, conceivably, air quality improvement. It is essential to recognize that the adoption of connectivity also ushers in a new set of challenges. These challenges encompass issues related to technology compatibility, safeguarding data privacy, and fortifying defenses against cyber threats. The knowledge generated from this comprehensive evaluation of CAVs can be harnessed to benefit stakeholders within the automotive industry, academia, and policymakers.
Generations in Transition
Authors: Burton Sharon L.
Published: February 2024

This study investigates the utility of ethnography and artificial intelligence as a valuable tool for understanding the multifaceted nature of job-seeking experiences across four generations: Baby Boomers, Generation X, Millennials, and Generation Z. Ethnography design offers insight into the creative thought processes, expressions, and lived experiences integral to the job-seeking process. Explored is the impact of the COVID-19 pandemic on the job market, highlighting the global economic downturn and the resultant loss of millions of jobs, revealing systemic vulnerabilities. This research investigates the obstacles faced by job seekers, including those without specific qualifications or degrees, who often need help to gain visibility in a competitive job market. Addressed is the issue of online applications needing to align with job criteria. This chapter provides valuable insights into the contemporary job-seeking landscape, stressing the need for adaptable strategies such as Artificial intelligence in the face of evolving challenges and opportunities.
Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender
Authors: Takami Kyosuke , Flanagan Brendan , Dai Yiling , Ogata Hiroaki
Published: February 2024

Explainable recommendation, which provides an explanation about why a quiz is recommended, helps to improve transparency, persuasiveness, and trustworthiness. However, little research examined the effectiveness of the explainable recommender, especially on academic performance. To survey its effectiveness, the authors evaluate the math academic performance among middle school students (n=115) by giving pre- and post-test questions based evaluation techniques. During the pre- and post-test periods, students were encouraged to use the Bayesian Knowledge Tracing model based explainable recommendation system. To evaluate how well the students were able to do what they could not do, the authors defined growth rate and found recommended quiz clicked counts had a positive effect on the total number of solved quizzes (R=0.343, P=0.005) and growth rate (R=0.297, P=0.017) despite no correlation between the total number of solved quizzes and growth rate. The results suggest that the use of an explainable recommendation system that learns efficiently will enable students to do what they could not do before.
Exploration on the Influential Factors of College Students' Innovation and Entrepreneurship Intention Based on Analytic Hierarchy Process
Authors: Yang Yanjia
Published: February 2024

This article identifies the factors that affect college students' social entrepreneurship willingness from the perspective of individuals and colleges, and introduces the social environment as a moderating variable to analyze its role in the generation of various factors and college students' social entrepreneurship willingness. The analysis method constructs the judgment matrix of each layer, calculates the weight of each influencing factor and its overall ranking, and provides theoretical guidance and model support for local governments, colleges and universities, and college students to enhance their entrepreneurial intentions. On the basis of expert consultation, questionnaire method and practical research, a “four-in-one” innovation and entrepreneurship education evaluation index system is constructed, and the analytic hierarchy process (AHP) is used to study the innovation and entrepreneurship education evaluation system.
SPEC 2.0 Smart Pill Expert System
Authors: Emaneni Vandana Rao , Dayananda P. , Upadhya Amrutha G. , Nayana B.G. , Poddar Priyam
Published: February 2024

The article throws light on the implementation of an enhanced idea of the smart pill expert system. The proposed system is used to automate the capability of dispensing the right dosage of medicines at a given day-time interval. The spec 2.0 can be used at one's home, workplace, at hospitals by a user of any age group, and then possibly expanding the functionalities to a wider audience. It mainly focuses on providing access control and monitoring management functionality through a mobile app on a daily basis with no monthly subscriptions required. There will be alerts and SMSs sent across to the user based on the pill dispensing event's result. The spec 2.0 mainly focuses on providing an “over-dosage” functionality so that the user won't have to consume the medication if he hasn't taken them at the allocated time interval, to prevent over consumption. The system has been tested and the results have been formulated on a daily basis.
Intelligent Nursing System for the Elderly Based on Big Data
Authors: Zhu Yingxin
Published: February 2024

The current problem of providing for the aged in China is extremely serious. As a weak member of society, the basic right of the elderly is the harmonious and stable development of society, especially in China, where the problem of aging is extremely severe, and the general pension institutions cannot fully and meticulously meet the precise needs of different elderly people. Therefore, this paper mainly studies the intelligent nursing system for the elderly based on big data, aiming to meet the requirements of the elderly of different ages for the elderly through the combination of big data and old-age care. This old-age care model is based on the usual application environment, the internet “big data” as the foundation, accurately applying intelligent technology to provide nursing services for the elderly, and providing interconnected, intelligent, convenient, and efficient old-age care services for the elderly, thus building a real-time, safe, convenient, and low-cost old-age care mechanism.
Relationship between Flow Field of Cutting Edge and Chip Dispersal during CFRP Drilling
Authors: Yamada Ryoto , Kamiya Ryuta , Nagata Keito , Dewei Lu , Inoue Takashi , Hagino Masahiro
Published: February 2024

Recently, the use of carbon fiber-reinforced plastic (CFRP) has been picking up in aerospace and automotive industries. However, machining of CFRP produces fine cutting chips, which disperse in the machining environment and can be hazardous to workers and machine tools. Therefore, a cutting-chip disposal technology is required to address this problem. This study investigated the chip dispersal behavior during the drilling of CFRP to identify the factors that affect the dispersal of cutting chips. The focus of this study was the airflow field generated by drill rotation. Therefore, a simulation analysis for around the drill edge was used. The results of the drill edge simulation and chip discharge behavior during CFRP drilling were validated experimentally. The results suggested that the airflow field around the drill edge caused by drill rotation did not significantly affected chip dispersal.
Verification and Learning of Feature Automatic Recognition with Time Prediction for EDM and WEDM
Authors: Fu Jing Yi , Jong Wen Ren , Ting Yu Hung , Zhou Zhe Wei
Published: February 2024

With the rapid development of smart manufacturing, traditional processing is gradually moving towards automation, and the mold industry is no exception. Facing the ever-changing and complex product demands, the requirements for efficiency and precision are also increasing. However, currently most of the parts process planning rely on experienced personnel. They will decide the machining sequence and schedule according to the manufacturing method for the parts, and then use Computer-aided Manufacturing (CAM) software to simulate the processing time. Manual operation not only requires a lot of human-resource costs but also increase the lead time required for manufacturing, and even because of those human errors, resulting in delays for delivery. On the other hand, the trend of processing automation makes the accuracy of processing time estimation more important. Therefore, this study develops a navigating system to shorten the processing lead time by simplifying the operation process and combine regression analysis to improve the accuracy of machining-time estimation. This study uses ASP.NET MVC Framework as the framework and applied Computer-aided Design (CAD) software, Siemens NX (also known as NX Unigraphics, or UG for short), to create a machining navigating system on its secondary development module for Wire Electrical Discharge Machining (WEDM), Electrical Discharge Machining (EDM). Moreover, it integrates the existing CNC milling machine machining navigating process. This study identifies the features of WEDM and EDM through automatic recognition, and then navigate the user to perform Numerical Control (NC) programming with automatic settings and simple parameter input, and finally generate NC Codes automatically. For the EDM, the system will automatically decide the processing range and generate electrode heads after the feature recognition is confirmed. The processing parameters will be stored in the Microsoft SQL Server Express database and sent to the linear regression analysis model. The actual machining time is used as the training label to optimize the parameters in order to improve the accuracy of the estimated working hours. The navigating system in this study can effectively shorten the processing simulation operation time by 84%, and at the same time a large amount of training data for regression analysis training can be generated. The maximum and average errors of machining time is reduced from 45%/32% to 23%/12%, which improves production efficiency and the accuracy of scheduling.
Preserving vocal cord function: Continuous intraoperative vagus nerve monitoring in total thyroidectomy
Authors: Thuduvage V. S. , Daminda D. A. D. G. , Jayasooriya Y.
Published: February 2024

A 42-year-old female patient who underwent left hemithyroidectomy for a benign thyroid nodule, was referred for further management, as histology revealed a minimally invasive follicular carcinoma requiring completion thyroidectomy as recommended by Oncologists. She had developed unilateral vocal card palsy following the initial hemithyroidectomy. Pre operatively vocal cord function was evaluated by fibre optic laryngoscopy, which confirmed a left vocal cord palsy. During the completion thyroidectomy, continuous intraoperative nerve monitoring was done using an electrode attached to endotracheal tube. A delta electrode was attached to the Vagus nerve and continuous monitoring of the Vagus nerve was done while performing intermittent monitoring of the Recurrent Laryngeal nerve. Stimulation was performed using a current of 1–2 mA. According to the International Nerve monitoring Study Group (INMSG) guidelines initial amplitude value of at least 500 μV was considered as the normal value.According to INMSG guide lines, change of EMG signal curve amplitude below 100 μV was considered as loss of signal during the operation. Post-operative period of the patient was uneventful and the right vocal cord function was confirmed as normal by fibre optic endoscopic examination. Even though intraoperative nerve monitoring is a useful procedure for all the thyroidectomy surgeries it is documented to be more beneficial during revision surgeries, thyroid malignancies and pre-operative unilateral nerve palsy patients.
Invasive fungal sinusitis in an ENT subunit of a tertiary care facility in Sri lanka
Authors: Samaranayake R. P. G. M. D. , Jayawardana W. A. T. T. , Thelikorala S. M. , Sheriff A. M. M.
Published: February 2024

Invasive fungal sinusitis is a life-threatening condition encountered in ENT practice which has a significant morbidity and mortality to the patient while the treatment itself consists of potential risks. The pathology carries a high economic burden on the healthcare infrastructure. This case series presents a series of six patients diagnosed and managed for invasive fungal sinusitis at an ENT subunit of the National Hospital Sri Lanka within a three-month duration.
“Sorting hat” flap as a modification of the classic A-T flap
Authors: Gualdi Giulio , Petruzzellis Alessandra , Ariasi Cesare , Amerio Paolo , Monari Paola
Published: February 2024

This article presents a case study featuring a novel modification of the A-T flap, termed the "Sorting Hat" flap, employed in dermatologic surgery for facial reconstruction. In the treatment of an 89-year-old male's squamous cell carcinoma lesion on the forehead, the "Sorting Hat" flap, introduced as an innovative alternative, eliminates the need for Burrow triangles and relies on flap shape for inconspicuous scarring and favorable cosmetic outcomes.
Clostridioides difficile infection in hospital and community settings: summary document of a multidisciplinary group
Authors: Danise Anna , Furfaro Federica , Gattuso Gianni , Liberato Nicola Lucio , Mandelli Clara , Mazzola Giuseppe , Osnaghi Bianca
Published: February 2024

Clostridioides difficile infection (CDI) affects the majority of hospital wards. In the context of a Continuing Medical Education Field Training course, a multidisciplinary group of expert healthcare professionals addressed the issue of CDI, producing a summary document to be submitted to the scientific community. The expert group was composed of healthcare professionals with an internal medicine background (Internal Medicine, Infectious Diseases, Nephrology, Gastroenterology, Geriatrics) with the contribution of a Microbiologist for the laboratory diagnostic aspects. During the draft of the document, various aspects of the problem were evaluated and developed.
Factor X deficiency: An overlooked cause of bleeding in the newborn
Authors: Verma Shalini , Tripathi Shalini , Kumar Mala
Published: February 2024

Inherited factor X (FX) deficiency is a rare autosomal recessive bleeding disorder, presenting with various bleeding manifestations ranging from nonspecific bruising to life-threatening intracranial hemorrhage. It is often misdiagnosed as hemorrhagic disease of the newborn. It is characterized by prolonged prothrombin time, as well as activated partial thromboplastin time, and needs FX level assay for definitive diagnosis. Here, we describe a case of a newborn with FX deficiency who presented with frank umbilical stump bleeding.
Emergence of additional anti-C with amplification of anti-D titer post-Rh-Kell phenotype-matched intrauterine transfusions in severe hemolytic disease of fetus
Authors: Sil Suhasini , Kaur Daljit , Chawla Latika , Kumari Dixa , Singh Madhulika , Prasanth Vaidehi , Jain Ashish , Negi Gita
Published: February 2024

Transplacental ultrasound-guided intrauterine transfusion (IUT) acts as a lifesaving therapy to prevent fetal anemia or even to reverse fetal hydrops. IUTs are generally initiated after 22–24 weeks of gestation and repeated every 2–4-week period of gestation. Although Rh-Kell phenotype-matched, fresh irradiated leukoreduced donor-packed red cells help to increase fetal hemoglobin level, this invasive procedure can increase fetal complications by fetomaternal hemorrhage. Women receiving IUTs are noted to be high allo-responders to red cell antigens, which can cause enhanced antibody titer or the formation of additional antibodies which might complicate future pregnancies. Hereby, we are reporting the case of a multiparous woman who underwent three sessions of IUTs between 24 weeks and 31+-week period of gestation and developed an additional anti-C antibody which was incidentally detected during compatibility testing at 34 weeks, along with raised anti-D immunoglobulin G titer of 1024 from initial titer of 128.
Distribution of ABO and Rhesus (D) blood group antigens among the Indian Kami population from the Sub-Himalayan region of West Bengal and Sikkim, India
Authors: Chamlagai Dependra , Gurung Jiwan , Singh Bisu
Published: February 2024

BACKGROUND:

Limited information is available regarding the distribution of ABO and Rhesus (Rh) blood groups among the populations from the sub-Himalayan regions. The present study was undertaken to understand the phenotypic, genotypic, and allelic frequencies of ABO and Rh antigens among the Kami population.

METHODS:

A total of 1420 Kami individuals were included in the study from the sub-Himalayan region of West Bengal and Sikkim. The ABO and RhD blood groups were determined among 158 individuals by standard slide agglutination method, and from 1262 individuals blood group, data were collected who had undergone routine blood group tests in diagnostic laboratories.

RESULTS:

The frequency of blood group O (31.06%) was found to be the highest followed by B (29.15%), A (27.54%), and AB (12.25%). A total of 97.89% individuals were Rh (D) positive and 2.11% were Rh (D) negative. The allele frequencies of ABO were found to be 0.200 for IA (p), 0.243 for IB (q), and 0.557 for IO (r). For Rh (D), the calculated gene frequencies were 0.855 for Rh positive (ID) and 0.145 for Rh negative (Id). Among the subcaste of Kami population, a significantly high frequency of blood group A was observed among Baraily and Lamgade, O among Sashankar, Dural, Diyali, and Dutraj, and B among Ramudamu, Koirala, and Silal.

CONCLUSION:

The study is the first of its kind to comprehensively describe the ABO blood group distribution among the Kami population which shows the same trend as the general Indian population.