bluuebunny/crossref_metadata_2025 huggingface dataset:
Cultural selection—What the knowledge of religion teaches us
Authors: Temmerman Johan
Published: February 2024

Dans cet article, j’explique comment la connaissance de la religion et de la tradition peut nous être utile aujourd’hui. La toile de fond est le déclin croissant des connaissances sur le sujet. En matière de religion et de tradition, l’ignorance augmente. Il en résulte un vide de sens, les gens se sentent dans l’ignorance du sens de l’existence, avec toutes les conséquences sociales qui en découlent, du radicalisme à la polarisation, en passant par la peur et le malaise. Dans cette étude, je présente une théorie ou un modèle qui nous permet de comprendre l’origine, le développement et le résultat de la transmission religieuse. En d’autres termes, la religion n’a pas été inventée par des personnages fanatiques ou imaginatifs, dotés de qualités créatives exceptionnelles, mais les traditions religieuses ont évolué. Pendant des siècles, comme l’eau sur les rochers, des valeurs significatives se sont infiltrées jusqu’à nous. Cette infiltration s’est produite pendant la formation de la conscience humaine. La religion est un phénomène culturel. J’ai donc appelé cette théorie « sélection culturelle », par analogie avec l’évolution biologique ou la sélection naturelle de Charles Darwin.
Emo Story
Authors: Durand Adrien
Published: February 2024

On connaît depuis longtemps Adrien Durand, puisqu’il a organisé la promotion de festivals aussi incontournables que Sonic Protest ou le regretté Villette Sonique. Si vous voulez sa bio, il suffit de lire ses livres aux éditions Le Gospel (liées au webzine du même nom), qui chroniquent avec un talent littéraire évident les hauts et les bas d’une vie de « mec de la scène » idéalisant l’underground (plutôt hardcore, noise-rock, emo) tout en en revenant peu à peu, à mesure que les déceptions éthiques s’alignent et que les impayés s’accumulent. Alors que son premier roman vient de paraître chez Le Nouvel Attila, il a accepté de réfléchir pour nous à l’étrange trajectoire de la musique emo, à la façon dont elle a nourri sa propre vie et alimenté ses réflexions. Cette histoire personnelle de l’emo est autant une lettre d’amour à l’exigence et à la flamboyance de la scène hardcore des origines, qu’une méditation sur la façon dont elle s’est transformée vers une certaine incarnation de la masculinité fragile, oscillant souvent entre l’exploration passionnée d’une subjectivité rebelle et l’autovictimisation la plus toxique. Cet exercice d’introspection du goût, finalement un geste emo par excellence, montre comment l’on n’échappe pas si facilement à ses obsessions de jeunesse, quel que soit le mal qu’elles nous font ; mais c’est peut-être aussi une manière de réparation.
Comment freiner la propagation d’un virus respiratoire de type Sars-CoV-2 dans une périphérie urbaine défavorisée ? Réflexion à partir d’un système multi-agents spatialisé
Authors: Duraffour Françoise , Mesclier Évelyne , Anselme Brice
Published: February 2024

Il est difficile, voire impossible, de produire des données fiables sur la circulation d’un virus respiratoire comme le Sars-CoV-2 dans des contextes socio-spatiaux spécifiques. Le recours à un système multi-agents permet de simuler cette propagation dans des espaces de vie à partir de moments de proximité entre les agents et de tester des mesures de freinage, lesquelles, dans la réalité, impliquent des niveaux différents de participation des habitants et de la société civile. Les résultats permettent de comprendre des processus et de formuler des hypothèses sur les meilleures options en termes d’efficacité sanitaire. L’exemple, élaboré avec l’aide du collectif Norcovid , est celui d’un quartier périurbain défavorisé de Marseille.
Mobiliser les épiciers de quartier pour imposer le confinement aux populations urbaines précaires. Le cas d’une ville moyenne marocaine (Tiznit)
Authors: Goeury David
Published: February 2024

Les politiques de confinement pour faire face à la pandémie de COVID-19 dans les pays à revenus limités ont plongé immédiatement les classes populaires urbaines dans la grande précarité, voire l’extrême pauvreté. Au Maroc, les épiciers de quartier ont permis de réduire la tension entre sécurité sanitaire et sécurité alimentaire en accordant aux ménages les plus affectés des crédits pour l’achat de produits de première nécessité. Ils ont assumé efficacement le rôle de médiateurs territoriaux aux côtés des autorités sécuritaires. Cet exemple souligne l’importance des logiques institutionnelles spécifiques aux territoires et de la mobilisation d’acteurs intégrés à des économies morales localisées pour surmonter les crises.
Transition énergétique et dépendance au sentier : la Patagonie argentine dans un nouveau cycle énergétique
Authors: Velut Sébastien , Carrizo Silvina Cecilia , Villalba María Sofía
Published: February 2024

Les hydrocarbures non conventionnels pourraient prolonger l’utilisation des combustibles fossiles en contradiction avec les projets de transition énergétique vers les renouvelables. Nous analysons cette tension à partir de la notion de dépendance au sentier en examinant l’exploitation des hydrocarbures non conventionnels des gisements de Vaca Muerta (Patagonie argentine). Le gaz a pris une place centrale dans l’approvisionnement énergétique de l’Argentine et ce choix du gaz conditionne les politiques énergétiques. Il amène à favoriser l’exploitation des hydrocarbures non conventionnels, qui reconfigure la région pétrolière de Neuquén, alors que se multiplient les projets d’énergies renouvelables. La dépendance au sentier conditionne la transition énergétique.
La décision de changement global en contexte de dissension sur les problèmes fondamentaux. Le cas des établissements bancaires
Authors: Tioumagneng André , Mfelam Jean Roger
Published: February 2024

L’implémentation d’une stratégie suppose la connaissance du problème qu’elle est censée résoudre. Nombre de publications sur le changement dans les entreprises, en s’intéressant directement à sa phase d’exécution, font généralement fie de ce principe cher aux stratégistes. Le présent article s’en écarte en se positionnant dans la phase précédente où se décide le déclenchement de la réforme. L’objectif de l’article est à la fois d’identifier les problèmes de gestion de l’entreprise et d’analyser leur pertinence. Le matériau empirique utilisé à cet effet procède des entretiens semi-directifs réalisés entre 2022 et 2023 avec différentes parties prenantes des banques au Cameroun. L’analyse de contenu thématique suggère globalement que la pertinence des problèmes managériaux trouvés, est déconstruite par les managers intermédiaires. L’étude suppose que cette déconstruction, envisagée sous le prisme idéologique de la résistance, contribue à complexifier la décision d’engagement du processus de changement. Nous y questionnons la posture adoptable par les dirigeants, face à la dissension observée, et esquissons quelques propositions de recherche pour l’explorer.
Les comportements des primo entrepreneurs étudiés sous le prisme de la culture entrepreneuriale individuelle
Authors: Sangué-Fotso Robert , Dida Ngouane Chaveline
Published: February 2024

Les entrepreneurs engagent leurs projets de création d’entreprise dans un contexte multiculturel et de plus en plus dynamique. Aussi la multiplicité des fermetures suscite-t-elle des interrogations au sujet des profils-types d’entrepreneurs à succès proposés par les recherches antérieures. L’objectif de cet article est d’une part, d’étudier les comportements des primo entrepreneurs camerounais sous le prisme de la personnalité et des croyances présentes et celles acquises au cours du processus entrepreneurial, en tenant compte des dynamiques auxquelles ils font face, et d’autre part, d’analyser quel rôle ces antécédents jouent sur la décision de fermeture ou de maintien des activités entrepreneuriales. À partir d’une étude qualitative exploratoire menée auprès de 07 entrepreneurs, de nouveaux profils émergent et intègrent au cœur du processus de formation des comportements, la temporalité et l’ouverture d’esprit des entrepreneurs à d’autres modes de pensée.
Las mujeres del mundo rural nazarí. Vidas cotidianas, espacios y objetos domésticos según la Tuḥfat al-mugtarib de Aḥmad al-Qaštāl ī (siglo XIII)
Authors: Boloix Gallardo Bárbara
Published: February 2024

El presente artículo pretende explorar un campo de investigación poco conocido desde el punto de vista historiográfico como es el de las vidas cotidianas de las mujeres en el mundo rural del reino nazarí de Granada en el siglo XIII , según la obra hagiográfica Tuḥfat al-mugtarib del andalusí Aḥmad al-Qaštālī. Tras esbozar unas primeras reflexiones sobre la constante invisibilización textual de estas mujeres, a lo largo de sus páginas analizaremos sus presencias y diversos papeles en el tejido social y familiar endogámico de su hábitat y época, sus funciones y agencias en el interior de sus casas o las particularidades de la alimentación femenina. Para ello, será aplicada al análisis filológico crítico de esta obra tanto la perspectiva de género como un enfoque metodológico interdisciplinar en el que se entretejen en estrecho diálogo materias como los estudios árabes e islámicos, la historia medieval, la arquitectura, la arqueología, los estudios de género y el análisis de la cultura material.
La financiación de la catedral románica de Santa Maria d’Urgell (s. XII): una aproximación a partir de los legados ad opera
Authors: Morelló Baget Jordi
Published: February 2024

Este artículo se centra en examinar las fuentes que sirvieron para financiar la construcción de la segunda catedral románica de la Seu d’Urgell a lo largo del siglo XII. La información utilizada proviene de los donativos ad opera, cuyo estudio ha interesado a los historiadores del arte, pero no desde el punto de vista económico. Además de tener en cuenta la cronología y la identidad social de los donadores, analizamos la tipología de recursos transferidos así como la forma cómo se gestionaron a raíz de la aparición e institucionalización de la figura del obrero. La Seu d’Urgell es un buen ejemplo de lo que pudo ocurrir en otras catedrales catalanas que fueron construidas (o reconstruidas) en esa misma época, pero para las cuales existe mucha menos documentación del tipo que se analiza aquí.
Escribir, controlar y auditar. Los libros de contabilidad de las villas y ciudades medievales portuguesas: el caso de Loulé
Authors: Melo da Silva Gonçalo
Published: February 2024

En Portugal, a diferencia de otros países, como España y Francia, las finanzas y los libros de cuentas municipales han presentado dificultades a la hora de afirmarse como objetos de estudio específicos y privilegiados dentro de la historia urbana y económica medieval. Esta situación se explica, en parte, por la escasez de fuentes para su estudio, lo que no es el caso de Loulé, una pequeña villa que cuenta con la serie de libros de contabilidad más antigua y la segunda mayor del país. Aprovechando esta circunstancia, a partir del caso de Loulé, se pretende contribuir a una mejor comprensión de los procesos de elaboración y control de los libros de contabilidad de los pequeños y medianos núcleos urbanos medievales portugueses. Para ello, se estudian los casos de funcionarios municipales vinculados a la gestión municipal; el proceso de elaboración, organización y control de los libros de cuentas; y los procedimientos de auditoría y sus responsables. Por último, se reflexiona sobre la conservación de los libros de cuentas y su influencia en la elaboración de otros registros contables.
Enhancing Elementary Teacher Preparation
Authors: Shahat Mohamed A. , Al Bahri Khalsa H. , Al-Balushi Sulaiman M.
Published: February 2024

This chapter highlights the importance of integrating STEM (science, technology, engineering, and mathematics) into teacher education to equip educators with the tools needed for effective teaching in contemporary STEM fields. The chapter strongly emphasizes the necessity of continuous professional development, innovative curriculum design, and the creation of supportive learning environments. Furthermore, it advocates for ongoing research to identify and implement effective STEM teaching strategies that engage students effectively. In conclusion, this chapter underscores Oman's commitment to STEM education as a cornerstone for preparing its citizens to face future challenges and seize opportunities. Oman's initiatives serve as an inspiring example for other nations seeking to enhance their own STEM educational frameworks and prepare their youth for the demands of tomorrow.
The Benefits of Wolfram Alpha Tool Applied to Interactive Learning Environments in STEM Education
Authors: dos Santos Vandeir Vioti , Notargiacomo Pollyana
Published: February 2024

The present chapter propose aims to show the benefits of using an interactive learning environment as a way of promoting greater engagement and consequently improving student performance. In this chapter, the benefits of using the Wolfram Alpha tool applied to interactive learning environments in STEM education will be shown. The quantitative and qualitative results obtained during the research showed the students' preference for classes in which the Wolfram Alpha tool was used allied to traditional teaching. Regarding performance, research has shown that these classes can increase students' academic performance by up to 35%. A tutorial about how to teach the students using the Wolfram Alpha tool will be shown.
Inclusive Plurilingual Classrooms: Teacher Awareness, Climate, and Social and Emotional Learning
Authors: Mortimore Louisa
Published: February 2024

The shift of plurilingual and bilingual streams into mainstream education has highlighted the need for inclusive teaching practices to support learning in diverse contexts. While research evidences the need for improved methodological training, there is less focus on providing teachers with the training needed in a diverse classroom with pupils who require educational support, despite increasing numbers in schools. Teachers need to be aware that providing a constructive classroom climate is crucial in creating an inclusive classroom. Similarly, developing the social and emotional competences of pupils promotes prosocial skills such as supportive peer relationships and empathy, necessary traits in the diverse classroom. This chapter presents a theoretical perspective on the emotional, social, and psychological benefits of providing a supportive and inclusive classroom climate in plurilingual and bilingual education and discusses how pedagogical and metacognitive strategies, as promoted in CLIL, can be used as everyday strategies to scaffold learning in the inclusive classroom.
Inclusive Education in Bilingual Early Childhood and Primary Centres
Authors: Rubio Antonio Daniel Juan
Published: February 2024

The diversity that we find in our educational classrooms today makes it necessary to implement inclusive methodologies that encompass all students equally, regardless of their cognitive, economic, social, or cultural situation. For this reason, the aim of this chapter will be to analyse the measures of attention to diversity contemplated in the bilingual programmes in early childhood and primary education. The authors will propose a qualitative research methodology in which they will analyse the official documents of the educational centres in the province of Granada. They will review all the educational documentation in the 104 bilingual early childhood and primary schools existing in the province of Granada to find out the measures that are most frequently proposed. The main conclusion they have reached after carrying out this exhaustive research is that there is still a serious lack of effective educational measures to respond to the difficulties of pupils in early childhood and primary education in bilingual schools.
Attention to Diversity in Bilingual Early Childhood Education
Authors: Conesa Isabel María García
Published: February 2024

Spanish bilingual education is becoming important in all educational cycles, especially in early childhood education, a stage where students have a great diversity of needs and interests. To explore the link between attention to diversity and bilingualism, the authors analysed the educational legislation in both areas, researched the content and language integrated learning (CLIL) approach, and the contributions made by specialists in the field. Following this research, the need arose to find out how the traditional bilingual teaching used in classrooms can be adapted to the needs of pupils and help their inclusion. An empirical study was carried out with active teachers in bilingual schools in the province of Alicante. The analysis of the teachers' opinions has shown that the techniques and resources proposed by the CLIL methodological approach can be the ideal tools for the inclusion of pupils in the bilingual classroom. Most teachers surveyed recognised that they use techniques such as scaffolding, ICT resources, or the audiolingual method, adapting to the needs of the children.
AIoT-Based Data-Driven Irrigation and Fertilization Smart System
Authors: Gautam Vinay , Tiwari Raj Gaurang
Published: February 2024

Agriculture is a prime industry and the foundation of a country's economy. Thus, advancement and automation in the agriculture industry is the foremost objective of any growing country. Initially, the farmers were using manual methods to regulate irrigation and fertilizers. Manual irrigation and fertilization is also a major reason for the huge loss of productivity. The irregularity of these two is the reason for major problems in an agricultural crop. The addressed issues can be resolved with some automated methods based on artificial intelligence. The proper implementation of improvements in irrigation and fertilization is crucial for the efficient utilization of these resources and also contributes to Sustainable Development Goals (SDGs). Consequently, a data-driven smart farming system has been proposed to resolve issues related to irrigation and fertilization. Here a hybrid deep learning technique has been employed in the system to provide prediction data.
AIoT Integration Advancements and Challenges in Smart Sensing Technologies for Smart Devices
Authors: Dankan Gowda V. , Kaur Mandeep , Srinivas D. , Prasad K. D. V. , Shekhar R.
Published: February 2024

Artificial intelligence in things (AIoT) has revolutionized the capabilities and features of smart gadgets. Technology advancements in smart sensing have allowed for the seamless integration of AI and IoT, increasing the general intelligence and efficacy of smart devices. This chapter looks at smart sensing technology's progress and challenges in the context of AIoT integration. The study begins with a brief introduction of AIoT and its significance in the smart device industry. It then delves into the numerous smart sensing technologies that aid in bringing AI and IoT together, such as environmental sensors, motion sensors, biometric sensors, and more. Miniaturization, improved accuracy, and lower power consumption are just a few of the ways that these sensor technologies have progressed. The study also highlights the challenges of integrating AIoT with smart sensing technology. The need for efficient power management, interoperability, the complexity of sensor fusion and data integration, and concerns over data security and privacy are just some of the obstacles in the way.
Harnessing the Power of Machine Learning for Parkinson's Disease Detection
Authors: Biswas Neepa , Santra Debarpita , Banerjee Bannishikha , Biswas Sudarsan
Published: February 2024

Parkinson's disease (PD) is a progressive neurodegenerative disorder affecting millions worldwide. Early detection of PD is crucial for effective treatment and management of the disease. Deep learning (DL) and machine learning (ML) have emerged as promising approaches for detecting PD. In this study, a comparative performance analysis is done for DL and ML applications based on speech signals. DL methods using convolutional neural networks (CNNs), long short-term memory (LSTM) networks, and ML methods employing random forest and the XGBoost model were trained and assessed. Performance of the models are evaluated using a variety of performance metrics, including accuracy, precision, recall, and F1-score. Results showed that the XGBoost model outperformed the DL models in terms of accuracy and F1 score, while the CNN and LSTM models achieved higher precision and recall. These findings suggest that XGBoost can be a useful tool for detecting PD based on speech signals, particularly in scenarios where interpretability and computational efficiency are important.
Country Digitalization, Trade Openness, and Innovation
Authors: Abidi Oualid , Dzenopoljac Vladimir , Dzenopoljac Aleksandra
Published: February 2024

Digital transformation programs at the national level had a significant impact on innovation. However, there is a lack of understanding as to whether this dynamic is compounded by the higher exposure to international trade, thanks to digitalization. Thus, the objective of this chapter is to demonstrate that a nation's spending on digital transformation may encourage local organizations to expand their business beyond national borders, which could enhance their innovation potential. Drawing on recent secondary data compiled for 115 countries, the effect of digital readiness on a country's innovation index was tested with path analysis using AMOS software. The findings confirm the positive and significant effect of country digital readiness on both, trade openness and innovation. However, these results show that trade openness negatively mediates the relationship between a country's digitalization and innovation capacity. This result may be explained by the insufficient absorptive capacity of newly internationalized firms and the cultural hindrance in cross-border collaborations.
Revisiting the Nexus Between Central Bank Transparency and Optimal Delegation
Authors: Sánchez Marcelo
Published: February 2024

The chapter studies the nexus between optimal delegation and central bank communication about productivity shocks. We assume that the goods market is monopolistically competitive, and the central bank has the mandate to offset the price pressure arising from wage setting by non-atomistic unions. Compared with the related literature, the setup used here is more realistic in that it predicts both positive unemployment and no inflation bias. The authors find that optimal delegation always involves some type of monetary policy conservativeness (relative to social preferences), involving either a finite or infinite weight on the inflation objective. This approach to calibration and simulation produces clear-cut results in favour of full monetary policy transparency, in which case optimal delegation requires that the central bank focus exclusively on price stability. Contributing to central bank transparency are unions that internalise the macroeconomic impact of their wage decisions and put a not-too-great emphasis on real wage stability relative to employment stability.
E-Waste Management
Authors: Kumar K. Dinesh , Rane Dipalee Divakar , Muralidhar Appalaraju , Goundar Sam , Reddy P. Viswanatha
Published: February 2024

Green computing can be described as efficient resource management in distributed computing environments such as cloud, fog, and edge computing environments. In green computing, green refers to the eco-friendly environment with environmental responsibility to efficiently manage the computing resources. Mainly, two significant reasons are associated with global warming issues from the distributed computing perspective. They are high power consumption of cloud datacenters and high CO2 emission rate. According to many survey reports, every year, cloud datacenters alone produce nearly 90 million metric tons of CO2 into the environment, and now, this high power consumption of datacenters has become one of the primary reasons for global warming issues. Also, it stated that this CO2 emission rate would increase by 8% every year if it did not identify proper control measurements. Therefore, it is crucial to enhance e-waste management by increasing the efficiency of computing resource usage and minimizing high power consumption, high CO2 emission rate, inefficient recycling policies, etc.
Knowledge Management Tools for Reducing the Learning Curve
Authors: Freire Patricia De Sá , Calza Fillipe , Silva Talita Caetano , Abreu Ana Claudia Donner , Yao Yuqing
Published: February 2024

The learning curve has proven to be a useful tool for monitoring the performance of both new and experienced employees. For an analysis of the relationship between knowledge management and the reduction of the learning curve, this article presents a study conducted within an IT company in the city of Florianópolis. A questionnaire was administered to 70% of the employees, and their responses were analyzed. The study concluded that the research identified the key knowledge management tools that can impact the improvement of the learning curve. For questions that did not receive more than 50% positive responses, the application of knowledge management methods and techniques was carried out. As the techniques are implemented and refined by the company, the reduction of the learning curve is likely to happen in a natural and progressive manner.
Driving Innovation Ecosystem Transformation via Digital Platforms and Knowledge Co-Creation
Authors: Sell Denilson , Spinosa Luiz Márcio , Wahrhaftig Ramiro , Koch Gérson Luiz , Jung Marques Maria Angélica , dos Anjos Alfredo Cesar , dos Santos Neri , dos Santos Pacheco Roberto Carlos
Published: February 2024

Co-production in public administration is essential for increasing societal participation in shaping impactful public policies. This chapter delves into the evolution and impact of the new research and innovation arrangements program (NAPI) in Paraná, Brazil. NAPI, an innovative approach, fosters networks for co-producing knowledge and innovation to address state challenges, rooted in the common principle. At the core of NAPI lies the iAraucária digital platform, harnessing artificial intelligence to streamline resource coordination among stakeholders in regional innovation systems, thereby nurturing research and innovation projects aligned with regional needs. Since its inception, NAPI has spurred the formation of over 60 arrangements, involving more than 4,000 participants in collaborative networks. Noteworthy outcomes include increased precision in research and innovation funding, the cultivation of stronger ties among ecosystem actors, and risk mitigation in public policy co-production, all making substantial contributions to Paraná's sustainable development.
Standing on the Shoulders of Generative AI
Authors: Ch'ng Lay Kee
Published: February 2024

Generative AI has been gaining popularity in 2023 and it is causing a disruption of various standards in the education system. While the pros and particularly the cons of this technology have been extensively debated, this chapter aims to explore the positive aspects of Generative AI—instead of advocating for a ban. This chapter will first provide an overview of the historical context and evolution of AI. It will be followed by a discussion of different types of Generative AI and the principles of co-creation with it. The uses of Generative AI in education will be described, focusing on the key stakeholders such as educators, students, educational administrators, and schools or institutions. Next, the chapter will explore the Generative AI application across different fields as well as various subjects in education. Several use cases, practices, and their associated benefits will be presented. Finally, the future and the implications of Generative AI will be discussed.
Exploring Global Fintech Advancement and Application
Authors: Najafi Behzad , Amra Mohsen , Najafi Amir
Published: February 2024

The strategic emphasis of financial service providers on leveraging new technologies to enhance the accessibility and quality of financial services has given rise to the FinTech concept. The growing economies of Saudi Arabia, Qatar, and Turkey have actively embraced FinTech development in recent years. This chapter comprehensively examines the state of FinTech in these nations, offering insights into current dynamics and future trends. Evaluations underscore that banking and payment services are pivotal sectors in these countries' FinTech endeavors. However, concerns persist, particularly regarding legal frameworks and security risks associated with user financial transaction data. The financial and regulatory support extended by Saudi Arabia, Qatar, and Turkey to FinTech companies has spurred rapid growth in recent years. This upward trajectory is anticipated to persist, with these countries increasingly relying on technology to propel advancements in financial services.
The Rise of AI in Middle Eastern Fintech With the Case Studies From the UAE and Turkey
Authors: Razavi Hooman , Habibnia Ali
Published: February 2024

This chapter explores the dynamic FinTech landscape in the Middle East with a focus on the UAE and Turkey by considering the impact of cutting-edge technologies, particularly artificial intelligence (AI). Amidst rapid economic changes and a burgeoning youth population, FinTech has emerged as a pivotal force driving innovation. The UAE and Turkey, positioned as regional FinTech hubs, attract significant investments, fostering vibrant startup ecosystems. Analyzing statistical insights and technological trends, this chapter unravels the unique factors propelling FinTech adoption. It delves into the integration of emerging technologies and addresses challenges, opportunities, and future trends. Tailored for finance professionals, policymakers, entrepreneurs, and academics, this chapter aims to provide a concise resource for navigating and contributing to the evolving FinTech scene in the Middle East.
Influence of Cybersecurity Leadership Resiliency on Organizational Readiness
Authors: Jones Laura Ann
Published: February 2024

Studies establish that cybersecurity executives face complex difficulties from constantly shifting risks due to the role's scalability and increasing responsibilities in this cyber-revolution. Cognitive and emotional aspects can influence change and decision-making, especially during times of heightened anxiety and evolving change. Through qualitative study and interpretative phenomenological analysis design, this research offers how leaders' 16-hour or more per-day working schedules affect the companies' readiness, how working hours affect leaders' resilience, and whether leadership traits like longevity, tenure, and other similar characteristics should be considered when estimating cyber risk insurance. This study aims to strengthen the defense-in-depth perimeter by providing a means to proactively identify factors that align with an enhanced approach to better estimate appropriate cyber liability coverage. Beneficiaries of this research are cybersecurity leaders and practitioners, academia, organizations that employ cybersecurity, and cyber risk insurance brokerages.
Supply Chain Management
Authors: Singleton Sr. Jesse , Richardson Kevin
Published: February 2024

This chapter examines the role of emotional intelligence (EI) in supply chain leadership. It begins by providing an overview of EI, its components and its relevance in leadership. The supply chain landscape is then explored, highlighting the complexities and challenges faced in the global marketplace. The importance of EI in supply chain leadership and its impact on decision-making are discussed. Case studies and examples are provided to illustrate the application of EI in supply chain leadership. The chapter also delves into how EI can help navigate supply chain challenges, such as disruptions and stakeholder relationships. Real-world examples of organizations integrating EI into supply chain leadership are provided, along with the outcomes. The future outlook and implications of EI in supply chain management are explored, including emerging trends and potential areas for further research. The chapter concludes with a summary of the broader implications for supply chain leadership and a call to action for organizations and leaders to embrace and incorporate EI into their practices.
Capability Analysis of Suitable Natural Habitat for Wild American Ginseng
Authors: Khademian Mehrnaz , Bunch Rick
Published: February 2024

This article presents a sensitivity analysis of the main growing factors for wild American ginseng in North Carolina, USA. This study examines the influence and importance of ginseng's natural growing factors in the predictive models generated through the method of weighted linear combination by conducting a sensitivity analysis over the relative importance of growing factors. By identifying these factors, government agencies can more effectively plan law enforcement activities and streamline their preservation efforts to protect this valuable species. The results of our sensitivity analysis indicate that the shade-related factors and spatial factors play very important roles in predicting suitable areas for wild American ginseng to grow in nature in the context of North Carolina. This finding implies that the proper consideration of these factors substantially enhances model predictability and consistency of predictions with real-world observations.
Improving Supply Chain Human-Machine Systems by the Analysis of Departmental-Level User Characteristics
Authors: Yang Kun
Published: February 2024

In this study, the authors aimed to enhance supply chain efficiency at Company A, a key player in China's manufacturing sector, by focusing on user-centric system design. The approach involved analyzing departmental-level user characteristics to inform the development of an optimized human-machine interface. To achieve this, they conducted focus groups and card sorting exercises, identifying specific user needs across departments like planning, purchasing, receiving, warehousing, production, and quality control. The application of these insights into system design led to significant operational improvements. Notably, time savings were observed in departments such as receiving (74.44%) and quality control (41.86%). This tailored approach underscored the importance of understanding and integrating user characteristics in supply chain systems, leading to enhanced productivity and a competitive edge. The study demonstrates the impact of user-focused system design in improving both efficiency and user satisfaction in supply chain management.
Identifying Critical Success Factors (CSF) in ERP Implementation Using AHP
Authors: Kusumawardhana R. Hendra , Eitiveni Imairi , Yaziji Warda , Adriani Zahrina Aulia
Published: February 2024

Enterprise resource planning (ERP) implementations often encounter multifaceted challenges, leading to failures. Success relies on technical competence, management support, and user engagement. Unique organizational processes significantly influence outcomes. Failures can disrupt operations, highlighting the need to identify critical success factors (CSFs) for effective ERP implementation. This study employed analytic hierarchy process (AHP) methodology to analyze CSFs. Data collection involved surveys administered to a social insurance company's ERP project team in Indonesia. This study revealed 15 success factors, categorized into organization, process, and technology dimensions. Organization emerged as the most crucial, followed by technology and process. Among these, five CSFs stood out: project team competence, vendor and consultant quality, ERP fit, top management support, and hardware and software selection.
Swing up Control of the Pendubot with Restricted Actuator Movement Angle Using Energy-Based Methods
Authors: Kinoshita Dai , Otsuka Koichi , Matsumoto Itaru
Published: February 2024

In this paper, we propose a swing-up control law for the Pendubot, a type of two-joint, two-link, underactuated robot in which the shoulder joint is actuated and the elbow joint is unactuated, considering the restricted angular movement of the shoulder joint. The proposed control law is designed by the energy-based method. Using the phase plane trajectories obtained from the angular and angular velocity oscillatory motion of the forearm, a target trajectory of the shoulder joint is calculated such that the mechanical energy of the forearm motion increases. We design a tracking control law for the shoulder joint with respect to a target trajectory. The maximum amplitude of the target trajectory directly restricts the angular motion of the actuator. The effectiveness of the proposed method is verified by numerical simulation and actual experiments.
Development of a Hydrostatic Bearing in High Vacuum Using an Ionic Liquid for a Semiconductor Fabrication Device
Authors: Okabe Takao , Somaya Kei
Published: February 2024

A hydrostatic bearing using ionic liquid (IL) has been developed to float semiconductor wafers in a high vacuum chamber. In semiconductor manufacturing, it is important to suppress overheating of wafers and maintain a constant temperature distribution. This method aims to achieve uniform temperature distribution by supplying IL from the backside of the wafer to float it, thereby without mechanical contact. However, since there are no examples of wafers levitated by hydrostatic bearings using IL in a high-vacuum environment, the effect of circulating IL to the vacuum conditions such as vacuum pressure and outgassing were investigated in this study. Experimental results showed that the developed prototype machine was capable of maintaining a stable ultrahigh-vacuum of 10-5 Pa and supplying sufficient pressure to levitate wafers even when 100 ml of IL was circulated.
Retrospective audit of Ultrasound guided fine needle aspiration cytology and core biopsy in the assessment of head and neck lumps excluding thyroid nodules at South Warwickshire NHS Foundation Trust
Authors: Rosa Opatha O. K. D. S. T. , Simon R. , Al-Deerawi H. B.
Published: February 2024

Objectives: Compare rates of diagnostic versus non diagnostic outcomes for fine needle aspiration (FNA) and core biopsy for non-thyroid head and neck lumps.Methods: Audit on biopsy technique used for ultra sound guided biopsies of non-thyroid neck lumps was performed over a 12-month period in South Warwickshire NHS Foundation trust (SWFT) in the year 2022. Data was collected from records in the Histopathology laboratory and electronic patient records.Results: A total of 72 lumps underwent biopsy during this period at SWFT and amongst them were 38 parotid lumps, 3 submandibular lumps, 29 lymph nodes and 2 other head and neck lumps. There were 34 fine needle aspirations were done for parotid lumps and 8 of them were non diagnostic. 4 of them went on to have core biopsies and all of them were diagnostic. There were 21 ultra sound guide core biopsies performed and only 2 of them were non diagnostic and required excision biopsy. There were 8 patients who underwent FNA and only 4 of them were diagnostic. The sensitivity of FNA for lymph nodes and salivary glands was 50% and 77% respectively. Core biopsy showed a 100% sensitivity for salivary gland and a 90.5% sensitivity to lymph nodes.Conclusion: FNAC yields good results with salivary gland lumps. Core needle biopsy has better sensitivity for investigation of enlarged cervical lymph nodes and has added advantage of immunohistochemistry and molecular testing.
A typical presentation of a laryngeal foreign body in an infant
Authors: Sewwandi G. A. H. , Dhanawardhana D. P. A. , Etulgama S. B.
Published: February 2024

Background: A 1-year-old boy presented with a one-day history of fever and cough, potentially linked to an episode of aspiration during homemade rice feeding. Following the incident, he refused to feed, displaying irritability. The detection of neutrophil leucocytosis and dehydration prompted IV antibiotics and fluid. Persistent symptoms led to a lateral neck x-ray, revealing a radiopaque material near the epiglottis. Fibre optic laryngoscopy identified a metallic wire lodged in the right arytenoid cartilage and posterior pharyngeal wall, possibly a fragment from a rice polishing machine. Extraction under general anaesthesia resulted in minimal mucosal injury, and the child quickly recovered postoperatively.Conclusion: This report serves as a reminder to consider foreign body ingestion in the differential diagnosis, particularly in cases with subtle or unrelated symptoms in the paediatric age group. The multidisciplinary approach emphasises prompt intervention to prevent life-threatening complications in paediatric patients. Furthermore, employing awake fibre-optic laryngoscopy in the context of a suspected respiratory tract infection to confirm the presence of a foreign body is considered a clinically safer approach than immediately resorting to examination under anaesthesia.
Innovative surgical approaches in myringoplasty: A comprehensive evaluation of endoscopic technique without elevating the tympanomeatal flap
Authors: Jayasena K. D. N. U. D. , Fernando M. H. T. C. , Karunaratne K. P. M. I. , Kumara S. P. P.
Published: February 2024

Introduction: Chronic otitis media- mucosal type, is a prevalent otological condition. Surgical intervention is often necessary. Various techniques developed over the years. In this study, we investigate the efficacy of endoscopic myringoplasty without tympanomeatal flap elevation,with the use of tragal cartilage.Methodology: A retrospective descriptive study was conducted at General Hospital Ampara, Sri Lanka, from January 2022 to August 2023. The surgical procedures were performed by the same surgeon, Due to the unavailability of pure-tone audiometry (PTA) and Tympanometry facilities, only physical healing outcomes were assessed.Results: The study analyzed 97 cases. Among pediatric patients aged 10 to 14 years, 50% achieved successful outcomes after endoscopic myringoplasty. In the adult group (15 to 60 years), 93.26% experienced successful closure of perforations, with only 6.74% showing residual perforations. Cases above 60 years achieved 100% successful outcomes. The overall success rate for all cases in the study was 92.78%.Conclusion: The study revealed the potential advantages of this surgical technique. Further research and refinement is needed to optimize patient outcomes and enhance the management.
Exploring the pros and cons of integrating artificial intelligence and ChatGPT in medical education: A comprehensive analysis
Authors: Lakshan M. T. D. , Chandratilake M. , Drahaman A. M. P. , Perera M. B.
Published: February 2024

The rise of AI and chatbots in medical education is undoubtedly going to impact the traditional ways of learning. Artificial Intelligence (AI) is rapidly evolving and revolutionizing various fields, and the healthcare industry is no exception. The key to success in this new age of AI technologies is for medical educationists to maintain a deep commitment to their students’ learning, while remaining open to new ideas and approaches that leverage the power of AI to enhance the educational process. The use of AI, specifically ChatGPT, in medical education can provide various benefits, including personalized learning, practice of clinical scenarios, access to medical literature, and a research and study aid for medical students. However, it is important to note that AI should not replace traditional learning methods and that students should actively engage with the material and develop critical thinking skills.
Editorial
Authors: Wazeer Zaffarullah , Drahaman Akram , Perera M. Bimantha
Published: February 2024

No abstract available
Rare combination of alloantibodies causing hemolytic disease of the newborn – Challenge for identification
Authors: Shah Rakeshkumar , Anvarsha Ajeemsha
Published: February 2024

Hemolytic disease of the newborn (HDN) refers to the destruction of the fetal and newborn red cells by maternal red cell antibodies specific for paternally inherited antigens on fetal red cells or erythroid precursors.[1] ABO-incompatibility is the most common cause of HDN. Rh-negative mothers can be alloimmunized with Rh-positive fetus. Prophylactic Rh immunoglobulin use has greatly reduced the HDN due to Rh incompatibility. Alloimmunization can also occur due to other clinically significant minor blood group antigens such as E, c, C, k, KP(a), Js(a), Js(b), Jk(a), Jk(b), Fy(a), Fy(b), S, s, and U. Multiple alloantibodies in mothers’ blood can pose a difficult challenge for identification and finding compatible blood for exchange transfusion. We report a case of HDN due to multiple antibodies and a rare combination of anti-c and anti-Jkb, challenges associated with the identification, confirmation, and finding of compatible blood units.
Identification of antibody specificity using adsorption-elution studies with incompatible packed red cell unit
Authors: Nivedita Kella , Mukherjee Somnath , Mishra Debasish , Datta Namrata , Sahu Ansuman , Prakash Satya
Published: February 2024

Antibody identification is usually performed by antibody identification panels which are specially selected red cells, at least one of which has a homozygous expression for all clinically significant blood group antigens facilitating agglutination upon reaction with specific antibodies even exhibiting dosage. In general, adsorption elution is used in determining antibody specificities in the background of multiple alloantibodies with or without autoantibodies. Herein, we present a classic case where a routine antibody identification panel failed to detect a solo antibody from patient serum, following which we tested the eluate obtained after adsorption with a cross-match incompatible packed red blood cell unit using the same antibody identification panel, which unveiled the Fyb antibody.
A study to assess the levels of free protein S in pregnant and nonpregnant women in a tertiary care center in Western Maharashtra
Authors: Kushwaha Neerja , Biswas Amit Kumar , Baranwal Ajay Kumar , Roy Bidhan , Pawar Amit Ajay , Dimri Ujjwal , Bhowmik Sujay
Published: February 2024

BACKGROUND:

Pregnancy is a hypercoagulable state increasing the risk of thrombosis and maternal mortality. Free protein S (FPS) levels are significantly reduced during pregnancy as compared to nonpregnant women. This study aims to ascertain the mean FPS levels for Indian pregnant women and study various factors like age, parity, trimester, hemoglobin (Hb) in relation to FPS.

MATERIALS AND METHODS:

521 pregnant and equal number of nonpregnant women were included in the study. Blood samples were collected and evaluated for FPS and Hb levels. P < 0.05 was considered statically significant.

RESULTS:

Mean FPS levels in pregnant women were significantly lower than nonpregnant women and showed a statistically significant fall in all the three trimesters. Mean Hb levels were also lower in pregnant females however correlation between FPS levels and Hb, age, and parity were not found to be significant.

CONCLUSION:

This study found that the mean FPS levels in healthy pregnant females decrease with increasing gestational age. The mean FPS levels will be useful in the Indian scenario as our study found FPS levels to be much lower than other studies.