bluuebunny/crossref_metadata_2025 huggingface dataset:
Screening Voice and Telling Images: Transmission as Sketching a Portrait of the Artist in Kazuo Ishiguro’s An Artist of the Floating World
Authors: Camps-Robertson Régine
Published: February 2025

In his second novel, An Artist of the Floating World (1986), Kazuo Ishiguro explores the relationship between master and pupil, in the form of a first-person account addressed to an anonymous other. By a tacit contract of “willing suspension of disbelief”, the reader is invited to embark on a journey along an uncharted path, as a formerly famous painter attempts to come to terms with the shadows that his past self has cast onto the present, amid the dramatic changes that shook Japanese society in the wake of the Second World War. Ono’s career as an artist evolved following the teachings of his successive masters until his own popularity was established, turning him into a master to numerous young artists who revered his works and his vision. Yet, beside the admiration of budding artists another source of prestige came from the Japanese authorities recognizing in him a true proponent of the imperial, patriotic cause to be defended by glorifying engagement in the war. He contributed to the wartime propaganda and censorship through his work and as a member of the Cultural Committee of the Interior Department. The novel spans the post-war period, from October 1948 to June 1950, when the artist is confronted with mounting pressure from some former pupils and the younger generation who view him as a traitor and hold him to account for his past choices, at a time when he needs most to uphold his reputation in view of the marriage negotiations of his second daughter. This article focuses on the interplay between narrative and visual effects in deconstructing the self-portrait of the artist by debunking the painter’s strategies to ward off the call for a soul-searching investigation. Ishiguro delves into the complex forces that combine to turn power into abuse, legacy into manipulation, in a confrontation between generations around the course of action taken. A rigidly codified society brings pressure to bear on the artist’s creativity, while he struggles to forge a new vision, one that may reconcile aesthetics and political engagement. That he should fail to do so is an acknowledgement, early in the novelist’s career, of the necessary limits to our aspirations and of the narrow path we tread in negotiating with others and with ourselves. Sketching then becomes the appropriate mode of leaving a form of legacy.
La ligne serpentine de William Hogarth comme ligne de transmission : le cas de flacons de parfum conçus pour une marque par des créateurs des arts appliqués
Authors: Colin-Vapaille Nathalie
Published: February 2025

Objet d’une étude originale par William Hogarth dans The Analysis of Beauty (1753), la ligne serpentine s’inscrit dans le cadre d’un héritage artistique. Elle est en outre un vecteur de transmission, véhiculant du sens et des valeurs, telles que beauté, grâce, variété et surprise. Le parfum est, lui aussi, au cœur d’une problématique de transmission. Échappant au regard, évanescente et éphémère, toute senteur pose un défi de représentation, de communication et de conservation dans le temps. Son flacon la protège et peut figurer sur des éléments visuels tels que la publicité. Il résout ainsi le paradoxe de la monstration de l’invisible, en particulier dans les médias qui ne permettent pas la diffusion d’odeurs. Pour faire face à un certain « désenchantement » du parfum (Le Guérer 361), lié à la mondialisation et à la banalisation de l’industrie de la parfumerie, des marques nouent des partenariats avec des artistes et des créateurs issus des arts appliqués, pour la conception des flacons. La « survaleur » artiste apportée est susceptible de redonner une aura au parfum. De telles collaborations ne sont pourtant pas sans risque, le style du créateur pouvant parasiter, voire éclipser l’esthétique de marque. Dans le cas de la collaboration entre Nina Ricci et les créateurs Garouste et Bonetti, certains observateurs notaient une rupture entre le style des flacons historiques de la marque et celui des nouveaux parfums. Une étude formelle à partir de planches graphiques, impliquant la ligne serpentine, permet ici de mettre en évidence une vraie filiation stylistique entre ces deux générations de flacons.
« Image de la pensée » et « pensée sans image » chez Gilles Deleuze
Authors: Chamois Camille
Published: February 2025

Cet article présente la notion d’« image de la pensée » qui donne son titre au troisième chapitre de Différence et répétition. Le propos est divisé en quatre temps. Dans une première partie, nous présentons le motif de l’« image de la pensée » tel qu’il est développé dans Nietzsche et la philosophie et Proust et les signes. Dans une deuxième partie, nous résumons les huit postulats de l’« image dogmatique de la pensée » présentés dans Différence et répétition. Dans une troisième partie, nous rappelons que le motif d’une « pensée sans image » s’inscrit en réalité dans l’histoire contemporaine de la psychologie, de l’école de Würzburg à Alfred Binet, à laquelle Deleuze a certainement accès via Sartre, Bréhier et Burloud. Enfin, dans une quatrième partie, nous montrons comment, à partir des années 1970 et avec Félix Guattari, le motif de l’image de la pensée est transféré dans un cadre à la fois socio-historique et critique où il décrit d’une part l’influence de l’État sur la pensée des philosophes de profession et d’autre part l’alternative que représentent à cet égard certaines traditions discursives non-philosophiques.
Leveraging AI for Continuous Integration and Delivery Enhancing Developer Productivity in Smart Education and Sustainable Learning
Authors: Ramadugu Gangadhararamachary
Published: February 2025

Continuous Integration and Continuous Delivery (CI/CD) practices are crucial for enhancing developer productivity and ensuring seamless software development in smart education and sustainable learning environments. Leveraging Artificial Intelligence (AI) within CI/CD pipelines introduces automation, predictive analysis, and intelligent monitoring, reducing manual intervention and accelerating the development cycle. This chapter explores how AI-driven CI/CD enhances the efficiency of software delivery in education technology (EdTech) systems. It covers AI's role in automating testing, debugging, and deployment processes while ensuring scalability and adaptability. Furthermore, the chapter discusses the implications of AI-powered CI/CD for promoting sustainable learning ecosystems, improving resource utilization, and fostering a more personalized and adaptive learning experience for students.
Leveraging Data Science for Personalizing Learning Experiences in Eco-Friendly Educational Systems
Authors: Shah Kevin N.
Published: February 2025

In the age of rapid technological advancements, educational systems are evolving to become more personalized, data-driven, and eco-friendly. This chapter explores how data science can be leveraged to tailor learning experiences to individual needs while promoting sustainability in educational practices. By integrating data analytics, machine learning, and adaptive learning technologies, personalized education systems can optimize learning outcomes, enhance student engagement, and reduce the environmental impact of traditional educational infrastructures. This chapter delves into the intersection of data-driven personalization and eco-friendly approaches, focusing on how educational institutions can use data to optimize resource allocation, minimize energy consumption, and promote sustainable learning environments. The chapter also discusses case studies and real-world applications, showcasing the transformative potential of data science in creating eco-conscious, student-centric educational ecosystems.
Predictive Analytics in Education
Authors: Maroju Praveen Kumar , Aragani Venu Madhav
Published: February 2025

Predictive analytics, empowered by generative AI and cloud technologies, has the potential to revolutionize educational practices by facilitating early intervention and proactive support for students. This chapter explores the integration of predictive analytics in educational settings, focusing on how data-driven insights can identify at-risk students and tailor interventions to their specific needs. By leveraging generative AI algorithms, educators can analyze vast amounts of data, including academic performance, engagement levels, and socio-emotional factors, to predict potential challenges before they escalate. The chapter highlights case studies that demonstrate successful implementations of predictive analytics in schools and universities, showcasing improved student outcomes, enhanced engagement, and more personalized learning experiences. Additionally, it discusses the ethical considerations and challenges associated with data privacy and bias in AI systems.
Smart Education and Sustainable Learning Environments
Authors: Selvakumar P. , Hemalatha C. , Indumathy I. , P. Nithya Preetha , Gandhimathi S. , Mujra Prasanta
Published: February 2025

Smart education represents a paradigm shift in the traditional learning experience, and promote educational equity. This transformative approach aims to cater to diverse learning styles, empower educators with innovative tools, and prepare students for success in a rapidly evolving digital landscape. Furthermore, IoT devices and smart sensors facilitate immersive learning experiences by creating interconnected learning environments both inside and outside the classroom. IoT-enabled devices such as interactive whiteboards, augmented reality (AR) tools, and wearable technologies enhance collaborative learning, simulation-based training, and real-time feedback mechanisms. For example, AR applications overlay digital content onto physical objects, enabling students to visualize complex concepts in subjects like science, engineering, and medicine, thereby enhancing comprehension and retention through interactive, hands-on learning experiences. In addition to personalized learning and educational equity by addressing barriers to access and enhancing inclusivity in learning environments.
Sustainable Curriculum Design and Development for Smart Education in Urban Environments
Authors: Kanade Tarun Madan , Chavan Dipeeka Suresh , Batule Radhakrishna Bhaskar
Published: February 2025

The integration of smart technologies into education presents significant opportunities for sustainable curriculum design and development, particularly within urban environments. This chapter explores the principles and practices necessary to create curricula that leverage smart education tools and promote sustainability. By examining case studies from various smart cities, the chapter highlights innovative approaches to curriculum design that align with sustainability goals. Key topics include the role of technology in enhancing learning outcomes, strategies for incorporating environmental education, and methods for fostering collaboration among educators, students, and the community. The chapter also addresses the challenges and solutions associated with implementing sustainable curricula, such as resource constraints and the need for professional development.
Teacher Professional Development in the Digital Age
Authors: Rajput Rubi , Sharma Parveen
Published: February 2025

Teacher professional development (TPD) is increasingly significant in the digital age, especially as smart cities continue to emerge and shape education. This chapter aims to explore how modern technologies, such as artificial intelligence (AI), virtual and augmented reality (VR/AR), and online learning platforms, are transforming traditional TPD models. By integrating these technologies into professional development programs, educators can enhance their skills, adopt innovative teaching practices, and foster more inclusive, environmentally conscious, and equitable learning environments.In the digital age, teachers often face challenges in adapting to rapid technological changes. This chapter highlights how AI can personalize TPD by assessing educators' strengths and areas for improvement through data analytics.
Employee Experience Management in the Digital Age
Authors: Figueiredo Paula C. N. , Martins Elisete , Nogueira da Fonseca Cristina , Sousa Vasco , Viterbo Salomé
Published: February 2025

The digital age is transforming work, affecting employee experience management (EXM). This study investigates the multifaceted effects of EXM in the digital age, analyzing how it affects important domains such as corporate culture, employee engagement, performance management and talent management. Through the opportunities and challenges of EXM, it considers that the future will be bright for personalized employee experience management with emerging technologies. By prioritizing Employee Experience, organizations can foster a culture of engagement, motivation and retention for success in the digital age.
Employee Experience Management (EXM)
Authors: Panneerselvam Sivapragasam , Arokiasamy Enoch , Kumar Keerthana Senthil
Published: February 2025

The business landscape is evolving rapidly due to advancements in technology, market disruptions, increased competition, and changing customer and employee expectations. As remote work and flexible schedules become more prevalent, organizations much continuously refine their strategies for enhancing employee engagement through captivating experiences. Employee engagement and employee experience are inter-related but two different constructs. Employee experience (EX) is an employee-centric bottom-up approach to understanding how employees experience and perceive work, workplace, and management practices. This chapter deepens our understanding of employee experience (EX), and why organizations are transitioning from traditional employee engagement strategies to EX approach. The chapter highlights the critical role of employee experience management (EXM), its use cases throughout the employee life cycle, its benefits, challenges and the role of managers in creating positive EX in the workplace. Finally, the implications of EXM approach for practice and future research are discussed.
Exploring the Impact of Employee Experience on Employee Retention
Authors: Mouloudj Smail , Oanh Le Vu Lan , Bouarar Ahmed Chemseddine , Aljaeed Samia Ayed , Mouloudj Kamel
Published: February 2025

In an era marked by rapid organizational change and shifting employee expectations, understanding the factors that influence retention is critical. In this context, this study explores the impact of employee experience dimensions—physical experience, technical experience, cultural experience, and digital social experience—on employee retention in Algeria. A paper questionnaire was distributed to a convenience sample of 122 respondents from various organizations. Multiple linear regression analysis was employed to assess the relationships between the employee experience dimensions and retention. The results revealed that all four dimensions—physical, technical, cultural, and digital social experience—positively and significantly influence employee retention. These findings suggest that enhancing the overall employee experience can play a pivotal role in improving retention rates, particularly in dynamic work environments. The study highlights the importance of addressing various aspects of the employee experience to foster loyalty and reduce turnover, providing valuable insights for HR practices.
AI on Teacher Roles
Authors: Alamelu R. , Sathya M. , Leema Christina J.
Published: February 2025

AI in education in India is reshaping instructors as facilitators of customized and adaptable learning experiences. AI allows teachers to tailor lessons to each student, improving engagement and learning. AI automates repetitive administrative tasks, freeing teachers to spend more time with students. Teacher facilitators use AI insights to identify student strengths and weaknesses, apply specific treatments, and foster critical thinking and problem-solving. Teachers also select and organize AI-generated content to ensure curriculum alignment and ethics. Teachers must continue professional development and adopt new technologies to implement AI-enhanced education in India. This will give them the skills to use AI to transform education. This transition improves teaching and learning and meets India's large student population's diverse educational needs
AI-Driven Classroom Management With Intelligent Tutoring Systems
Authors: V. Vijaya Lakshmi , Devi K. Syamala , Raghunath Swapna , Patil Jayashree S. , Shanti M.
Published: February 2025

This chapter examines the entry of AI into classroom management through Intelligent Tutoring Systems. ITSs enhance customized learning through adaptive learning as it customizes the educational content based on an individuals requirement thus enhancing the interactive learning experience for the learner and making it more productive. AI can be utilized by the ITS to monitor student behavior and performance data, identifying knowledge gaps and providing personalized intervention recommendations. The chapter explores ethical questions related to educational AI, such as data privacy and understood algorithms, aiming to develop learners' independence and teach teachers when to observe and intervene purposefully in educational AI. The study presents case studies and empirical evidence highlighting the transformative power of AI-enabled ITS in improving learning outcomes, equity, and inclusive styles, arguing that strategic adoption of AI technologies can lead to smarter, responsive classes.
Data Science in Education
Authors: Shafique Umair
Published: February 2025

This chapter discusses how data science changes the education sector and how it can be used to improve management, decision-making, and learners' interactions. Since it focuses on extensive information, educational institutions can enhance the decision-making, control, and planning processes, ultimately resulting in optimized operations and addressing students' needs. The application of data science is evident in the learning process through the incorporation of adaptive technologies in an effort to offer unique learning experiences that enhance creativity and learner's performance. However, this integration of data science has some challenges in aspects of data protection, data transparency, and data consent. In the future, data science will continue to foster advances in adaptive learning, artificial intelligence, and policy, providing further chances to achieve fair and efficient educational structures. The presented chapter supports the call for the combination of ethical factors with the positive effects of data science for education to better impact learners and instructors.
Revolutionizing Food Quality With Machine Vision and Machine Learning Techniques
Authors: Rashed Mahmoud , Fakhry Shaimaa , Satour Radwa
Published: February 2025

Ensuring food quality and safety is a complex and multi-layered issue that must take into account all stages of food processing, from cultivation and harvesting to storage, transportation, and consumption. The application of machine learning in the food industry can significantly improve work efficiency and ensure food quality and safety. In addition to traditional food quality assessment applications, deep learning techniques are also being used for more complex tasks such as detecting food defects, foreign objects, and freshness. This chapter discusses various applications of machine vision technology in conjunction with machine learning in the food sector, such as image recognition, classification, quality control, and the food industry chain. In addition, several challenges related to the cost of obtaining and annotating food datasets are discussed. Furthermore, future research needs are discussed to further investigate how to improve the quality and scope of the datasets, optimise the robustness and interpretability of the different models used in food quality assessment systems.
Routate
Authors: T. A. Swetha Margaret , D. Renuka Devi , Repakula Rithika
Published: February 2025

This study explores how to foster mindful, sustainable eating habits in young adults, who struggle with time constraints and lifestyle shifts due to academic and work pressures. Traditional methods, like calorie counting, fail to engage users or provide flexibility. This study proposes a personalized approach using gamification and reflective food journaling to build healthier habits. Research, including diary studies and user interviews, identified challenges such as time scarcity, lack of progress, and self-doubt. The app design addresses these issues through gamified reward systems, a virtual pet avatar that grows with the user, and personalized journaling to reflect on emotional responses to food. By combining social accountability, introspection, and engaging play, this approach offers a flexible, adaptive path to wellness, redefining dietary habit formation with a focus on behavioral psychology and emotional engagement.
An Analysis Of Green Advertising's Sustainability Strategy and Its Impact on Consumers' Green Consumption Behaviour
Authors: Singh Deepali , Madaan Vandana , Arora Shreya , Sagar G. , Singh Paramveer
Published: February 2025

Customers are becoming more aware of their environmental impact as environmental worries develop. This explains the rise in demand for eco-friendly items. This study examines how environmentally aware marketing affects purchasing choices among environmentally concerned clients. This study examines how environmentally friendly advertising strategies promote sustainable consumption. We reviewed current literature and mailed questionnaires to interested parties to acquire data for the research. According to the research, people trust and connect with companies that are transparent and sincere about the environment. The survey discovered this. The report also highlighted the dangers of “greenwashing,” which involves misrepresenting a product's environmental effect to undermine consumer trust. Businesses who want to attract environmentally concerned customers and use green marketing might leverage the study's findings.
Bias in Green AI Addressing Disparities in Data and Algorithms
Authors: Trehan Abhishek
Published: February 2025

Green AI, a paradigm focused on sustainable and energy-efficient artificial intelligence, holds immense promise for advancing environmental and social equity goals. However, biases inherent in data and algorithms can perpetuate or even exacerbate existing disparities, undermining these objectives. This chapter explores the critical intersection of bias and Green AI, examining how inequities arise in the development and deployment of AI systems designed for sustainability. By analyzing case studies and recent research, the chapter highlights the implications of biased datasets, algorithmic decisions, and accessibility gaps. It also proposes strategies for mitigating bias, such as ethical AI frameworks, diverse data collection practices, and community-driven approaches. Addressing these challenges is essential to ensure that Green AI contributes to an equitable and inclusive future while meeting its sustainability goals.
Building Intelligent Systems With Python
Authors: Palakurti Anurag , Kodi Divya
Published: February 2025

This Chapter explores the transformative potential of Python in developing intelligent systems that drive positive social change. This book delves into the applications of artificial intelligence (AI) and machine learning (ML) to solve pressing global challenges, with a focus on sustainability, social equity, and accessibility. Through practical examples and hands-on techniques, it provides readers with the tools to harness Python's capabilities to build systems that address issues such as poverty, healthcare disparities, climate change, and more. By leveraging the power of AI and ML, the book demonstrates how technology can be used not only to innovate but also to promote fairness and equality, creating a more inclusive and sustainable future.
Building Tomorrow
Authors: Katru Chandrasekhar Rao
Published: February 2025

This chapter explores how data-driven technologies and automation can be leveraged to foster social equity in an increasingly interconnected world. By integrating artificial intelligence (AI), machine learning (ML), and data analytics, we can address systemic inequalities across sectors such as education, healthcare, and employment. The chapter delves into case studies where automation has bridged equity gaps, from predictive analytics in public policy to AI-driven tools for resource allocation. Challenges such as algorithmic bias, data accessibility, and ethical concerns are critically examined, alongside strategies to ensure inclusivity and fairness. The chapter concludes by envisioning a future where data and automation are key enablers of a more equitable society.
Business Traceability With Existing IIoT Networks via Novel Light Weight Proof-of-Trace (LWPOT) Consensus Blockchain
Authors: Badholia Abhishek , Verma Vijayant , Sharma Anurag , Chhabra Gurpreet Singh
Published: February 2025

Today, businesses have grown digitally and the culture of new start up is getting patting and funding from the corporates, society and the government. IIoT devices are deployed in industrial environments where physical surveillance and continuous management is not possible. Therefore, the deployed devices can be compromised by unwanted adversaries. In order to reduce these attacks, we propose a novel light weight proof-of-trace (LWPoT) consensus mechanism. Because all verifications are done on the IoT hub node, this reduces computational complexity while adding the block to the blockchain. Since, the consensus is light weight in nature, therefore, its energy footprint for block creation is negligible. This makes the protocol highly effective for low power applications. The LWPoT consensus mechanism was tested under real time industrial environments. It was also observed that the LWPoT blockchain deployment has 15% better speed, 25% better throughput, 16% better energy efficiency, and 8% better packet delivery ratio when compared with other models under the same network conditions
Data-Driven Approaches to Equitable Green Innovation Bridging Sustainability and Inclusivity
Authors: Panyaram Sudheer , Hullurappa Muniraju
Published: February 2025

The integration of data analytics into green innovation offers a transformative approach to achieving sustainability while ensuring equity and inclusivity. This chapter investigates how data-driven methodologies can enhance environmental practices, optimize resource allocation, and promote transparency across industries. By utilizing predictive analytics, optimization algorithms, and real-time monitoring, organizations can address critical challenges in sustainable development, including reducing waste, minimizing carbon footprints, and ensuring fair resource distribution. The chapter also discusses potential obstacles, such as biases in data models and privacy concerns, proposing actionable strategies to overcome these issues. Through case studies and practical insights, it highlights the potential of data analytics to drive equitable green innovation, laying the groundwork for a sustainable and inclusive future.
Generative AI for Fraud Prevention
Authors: Marella Bhagath Chandra Chowdari , Kodi Divya
Published: February 2025

The rapid advancement of generative AI technologies presents new opportunities for tackling fraud while simultaneously driving productivity and fostering green innovation. This book explores the transformative potential of generative AI in fraud prevention, emphasizing its ability to detect, predict, and mitigate fraudulent activities across various sectors. By integrating AI-driven solutions into enterprise systems, organizations can enhance efficiency, reduce losses, and contribute to sustainable business practices. Additionally, the intersection of generative AI and green innovation is explored, showcasing how AI can be leveraged to optimize resource management, reduce environmental impact, and promote socially responsible practices. Through this lens, the book highlights how AI not only boosts productivity but also supports the broader goal of advancing social equity and environmental sustainability.
Green Manufacturing
Authors: Mahadevan Padma , Dogra Ajay Kumar , Shrivastava Mukul Kumar , Sharan Vidya Dayinee , Singh Anjali
Published: February 2025

As global attention shifts towards sustainability, green manufacturing has emerged as a vital approach to minimize environmental impact while optimizing industrial production. This paper explores the principles and advancements in green manufacturing, including energy efficiency, waste reduction, and the use of renewable resources. It highlights the role of digital technologies, such as IoT, AI, and digital twins, in enhancing green manufacturing practices. Through a multi-method research approach combining literature review, case studies, and expert interviews, this study assesses the environmental and economic benefits of green manufacturing. The research also delves into the challenges faced, such as high adoption costs and integration barriers. Comparative analysis of water and energy-saving techniques demonstrates the potential for industry-wide sustainability, showing how technologies can promote cost-effectiveness while preserving the environment.
Innovative Pathways to Sustainability
Authors: Haque Ehanul , Siddiqui Farheen , Tasneem Neda , Khan Babar Ali , Rubab Arshi
Published: February 2025

Sustainable development is crucial for achieving global economic growth, environmental protection, and social justice. Balancing these pillars necessitates advancements in energy efficiency and product innovation. This research explores how these components can mitigate environmental impacts, enhance economic competitiveness, and advance societal goals. It utilizes a multifaceted research method, combining qualitative and quantitative approaches to evaluate the impact of energy efficiency and innovative product design. Key findings reveal that integrating renewable energy sources, advanced energy management technologies, and eco-friendly product innovations significantly contributes to sustainability goals. Effective implementation of these strategies can reduce energy consumption, lower carbon emissions, and stimulate economic growth.
Quantum Computing for Equitable Green Innovation Unlocking Sustainable Solutions
Authors: Hullurappa Muniraju , Panyaram Sudheer
Published: February 2025

Quantum computing offers unprecedented opportunities to revolutionize equitable green innovation by addressing complex sustainability challenges with enhanced computational power. This chapter explores how quantum algorithms can optimize resource management, improve energy efficiency, and accelerate the adoption of green technologies. By leveraging quantum-based predictive models and optimization techniques, industries can achieve sustainable practices while ensuring equity in resource distribution and access. The chapter also delves into the potential of quantum computing to tackle intricate problems in supply chain sustainability, renewable energy integration, and environmental impact analysis. Challenges such as scalability, accessibility, and ethical considerations are addressed, alongside proposed solutions to overcome these barriers. Real-world use cases and emerging research highlight the transformative potential of quantum computing in fostering a sustainable and inclusive future, bridging the gap between innovation and equity.
Unlocking New Possibilities
Authors: Kodi Divya , Chundru Swathi
Published: February 2025

The rapid advancement of technology has opened new avenues for integrating green innovation with social equity. This chapter explores how advanced API (Application Programming Interface) integration serves as a catalyst for enhancing sustainability efforts and promoting equitable outcomes. By enabling seamless communication between diverse systems and data sources, APIs play a crucial role in driving innovation in green technologies while ensuring that these advancements are accessible to all. Through the use of AI, machine learning, and data analytics, API integration empowers businesses and governments to create scalable, inclusive solutions that address environmental challenges and social disparities. This chapter discusses key examples, benefits, and challenges associated with API-driven green innovation, providing insights into how this technology can unlock new possibilities for a more sustainable and equitable future.
Modelling on E-Service Quality and Green Logistics Consumer Satisfaction
Authors: Jain Alok , Verma Pradeep , Khedkar Vijayshri , William P. , Badholia Abhishek , Chhabra Gurpreet Singh
Published: February 2025

This study examines the interplay between e-service quality, green logistics, and consumer satisfaction in the e-grocery sector. With the rapid growth of online grocery shopping, understanding the factors that drive consumer satisfaction is crucial. This paper explores how the quality of electronic services and the adoption of sustainable logistics practices influence consumer perceptions and behaviors. Using a mixed-method approach, the research assesses the impact of website functionality, delivery efficiency, and environmentally friendly practices on consumer loyalty and satisfaction. The findings highlight the significant roles of e-service quality and green logistics in enhancing consumer satisfaction, providing actionable insights for businesses to optimize their online services and logistics strategies.
Perception of Massive Open Online Courses and Its Relationship With Students' Learning Strategies
Authors: Al Murshidi Ghadah , Adamovich Kseniia , Costley Jamie , Andronova Ekaterina , Alblooshi Hamda , Alderei Ruwaya , Gorbunova Anna
Published: February 2025

The aim of the present paper is to explore students' perceptions of MOOCs in relation to their learning strategies. Drawing upon cognitive appraisal theory and learning strategies framework, the study examines the perception of MOOCs as threats or challenges and assesses students' learning approaches through the prism of deep and surface learning strategies. Survey data from 389 students enrolled in a MOOC form the empirical basis of the study. Analysis revealed that cognitive appraisal of MOOCs as a challenge is strongly related to the adoption of deep learning strategies. Conversely, perceiving MOOCs as a threat is associated with the use of surface learning strategies, although such strategies display a weaker yet significant relationship with perceiving MOOCs as a challenge. The implications of this research shed light on enhancing the quality of learning experiences and implementing learning strategies in MOOCs. Implementing these strategies can contribute to the improvement of MOOC design and instructional practices, ultimately fostering positive learning outcomes for students.
Multi-UAV-Assisted MEC Offloading-Optimization Method on Deep Reinforcement Learning
Authors: Sun Chao , Li Zhihua
Published: February 2025

In multi-UAV-assisted mobile edge computing (MEC), insufficient consideration of collaborative computation in inter-UAV communication can significantly reduce computational service capabilities. For this problem, we present a multi-UAV-assisted MEC offloading optimization model that jointly optimizes task offloading decision, UAV resource allocation, UAV trajectories and establish collaborative computation through inter-UAV communication. First, to solve the multi-UAV-assisted MEC offloading optimization issue, we define a weighted utility function that balances delay and energy consumption. Then, to tackle the continuous nature of the computation-offloading problem and the coexistence of discrete and continuous variables, the PPO algorithm is enhanced by integrating an average reward objective function and a hybrid action generation offloading mechanism. Finally, we propose a multi-UAV-assisted MEC computing offloading optimization method to improve the utility function. Experiments show that the proposed method significantly enhances system utility.
O mal-estar em Ulrich Becher: a sombra do nazismo e o refúgio no Brasil
Authors: Santos Diego Luiz
Published: February 2025

O artigo trata da passagem do escritor e ilustrador Ulrich Becher (1910-1990) pelo Brasil entre 1941 e 1943. Alemão de origem judaica, Becher foi perseguido pelo nazismo e exilou-se no país durante no início da década de 1940 ao lado de sua esposa Dana Roda. Apesar de sobreviverem à perseguição nazista, as traumáticas experiências vividas na Europa e as dificuldades de se adaptarem ao exílio fizeram com que sua passagem pelo país fosse marcada pelo mal-estar e pela angustiante sensação de não-pertencimento. Por meio da análise de cartas e literatura de exílio, sua trajetória oferece um olhar micro que nos permite refletir sobre o impacto do deslocamento involuntário para a saúde mental de refugiados e sobreviventes de situações-limite.
La Universidad Obrera Nacional de Perón a Frondizi: acciones, estrategias y negociaciones estudiantiles por la autonomía y jerarquización universitarias (1955-1959)
Authors: Koc Muñoz Álvaro Sebastián
Published: February 2025

El presente trabajo buscará reconstruir el proceso de lucha de los estudiantes de la Universidad Obrera Nacional (UON) por la autonomía y jerarquización de esta institución a lo largo del periodo 1955-1959. En este sentido, se presentará el origen de esta universidad durante el primer gobierno peronista como también el conflicto iniciado tras su derrocamiento en 1955 -en el que los estudiantes de esta casa de altos estudios técnicos decidieron modificar su denominación por la de “Universidad Tecnológica Nacional” (UTN)- haciendo especial énfasis en las diferentes acciones, negociaciones y estrategias desarrolladas por el movimiento estudiantil.
Aligning Labour Market Demands with a Skilled Workforce: Strategies for Engaging Sri Lankan Youth in TVET Courses
Authors: Gamage P. N. , Herath H. M. A. D. K. , Kaluarachchige I. , Hewapathirana R. A.
Published: February 2025

The National Vocational Qualification Framework of Sri Lanka was institutionalized in the year 2004 and with time raised along on a steadfast journey of gradually developing and is currently well-established with the TVET sector in Sri Lanka. The fact remains that the social recognition of the TVET sector's implementation and functions within the country is somewhat unsatisfactory among the youth. Thus, the survey explores Integrating Labour Market needs with a skilled workforce in the TVET system thereby establishing formalizing TVET qualifications, based on the research findings. Integrating the Labour Market Needs with the TVET System for supplying the skilled workforce is a major factor being developed by the TVET sector thereby the respective study aiming towards the Sri Lankan youth.
Daratumumab for refractory posttransplant autoimmune hemolytic anemia: An option beyond the obvious
Authors: Cherulil Sreedhar Jayakrishnan , Ramanan Kesavan Melarcode , Vaniyath Sudeep
Published: February 2025

Autoimmune Cytopenia (AIC) is a complication that occurs in 2-6% of the post-transplant paediatric population. It is a significant cause of morbidity and a therapeutic challenge. The first line treatment is often corticosteroids, and Rituximab is used in the second line. Refractoriness to several lines of treatment is an often-encountered clinical scenario, here we would like to highlight the use of Daratumumab a novel anti CD 38 monoclonal antibody to treat post-transplant AIC. We report on the use of Daratumumab in combination with the conventional treatment with Rituximab and corticosteroids in a case of severe life threatening AIHA in a one-year-old child, who was suffering from T-B-NK SCID, and had undergone post haploidentical stem cell transplantation.
Retrospective analysis of factors influencing the self-healing of patients with enterocutaneous fistulas receiving conservative treatment
Authors: Zhuang Zhuo-Nan , Zhao Rui , Li Yuan-Xin
Published: February 2025

BACKGROUND

Enterocutaneous (EC) fistula incidence has been increasing in China, along with increases in the volume and complexity of surgeries. The conservative treatment strategy has been analyzed to improve the treatment outcomes for patients with EC fistulas and reduce the need for reoperation.

AIM

To analyze the clinical data of patients undergoing conservative treatment for EC fistulas and identify the factors that promote self-healing. These findings provide a reference for improving the clinical cure rate of EC fistulas with conservative treatment.

METHODS

The clinical data of 91 patients with EC fistulas who underwent conservative treatment were collected. The relationships between the cure rate and characteristics such as age, sex, body mass index, albumin level, primary disease, cause of the fistula, location of the fistula, number of fistulas, nature of the fistula, infection status, diagnostic methods, nutritional support methods, somatostatin therapy, growth hormone therapy, and fibrin glue therapy were analyzed.

RESULTS

A comparison of the basic patient characteristics between the two groups revealed statistically significant differences in primary disease (P = 0.044), location of the fistula (P = 0.006), number of fistulas (P = 0.007), and use of adhesive sealing (χ 2 = 12.194, P < 0.001) between the uncured and cured groups. The use of fibrin glue was a significant factor associated with a cure for fistulas (odds ratio = 5.459, 95%CI: 1.958-15.219, P = 0.01).

CONCLUSION

The cure rate of patients with a single EC fistula can be effectively improved via conservative treatment combined with the use of biological fibrin glue to seal the fistula.
Assessment of new pathological markers in early stage colon cancer: Insights and limitations
Authors: Erdogan Bulent , Usturalı Keskin Fatma Elif , Özcan Erkan , Küçükarda Ahmet , Güren Ali Kaan , Köstek Osman , Hacioglu Bekir Muhammet , Kodaz Hilmi
Published: February 2025

BACKGROUND

The decision to administer adjuvant chemotherapy to patients with local stage depends on specific high-risk features that are T4 tumor stage, presence of perineural invasion, lymphovascular invasion, poorly differentiated tumor histology, inadequate lymph node sampling (fewer than 12 lymph nodes), and evidence of tumor perforation or obstruction. Tumor-stroma ratio, tumor infiltrating lymphocytes (TIL), Crohn-like reaction (CLR), desmoid reaction, poorly differentiated clusters (PDC) are new pathological markers that are being studied.

AIM

To examine the relationship between new pathological markers and defined high risk factors, in early stage colorectal cancer.

METHODS

We evaluated 155 patients with the diagnosis stage I and II colorectal cancer between the years 2007 and 2021 who were treated at Trakya University Hospital, Department of Medical Oncology. We divided those with and without high-risk factors into two groups. We examined the relationship of new pathological markers with these groups and with pathological markers in risk factors.

RESULTS

There was no statistically significant correlation between presence of TIL, presence of PDC, presence of tumor budding, presence of CLR, presence of desmoid reaction and low and high-risk groups according to the degree of those with PDC (P = 0.82, P = 0.51, P = 0.77, P = 0.37, P = 0.83, respectively). In addition, no statistically significant correlation was found between the tumor-stroma ratio and low and high risk groups (P = 0.80). We found a statistically significant correlation between the presence of PDC and the presence of PDC grade 3 and T stage (P = 0.001, P = 0.001, respectively). It was determined that the presence of PDC and the frequency of grade 3 PDC increased with the advanced T stage.

CONCLUSION

No relationship was found between the presence of new pathological markers and high-low risk groups. When we examined the relationship between new and old pathological markers, only the frequency of detection of PDC and PDC grade 3 was found to be correlated with advanced T stage.
Is intraperitoneal isoperistaltic side-to-side anastomosis a safe surgical procedure in radical colon cancer surgery
Authors: Wu Bin , Zhu Jing-Tao , Lin He-Xin , Dai Yu-Hua , Lin Tian-Sheng , Huang An-Le , Chen Yi-Nan , Li Yong-Wen , Wang Hai-Bin , Chen Yi-Fu , Chen Dong-Han , Yu Huang-Dao , You Jun , Hong Qing-Qi
Published: February 2025

BACKGROUND

Colorectal cancer, one of the most common malignancies, is primarily treated through surgery. With the widespread use of laparoscopy, gastrointestinal reconstruction remains a key area of research. The choice between intraperitoneal anastomosis (IA) and extraperitoneal anastomosis (EA) remains a subject of considerable debate. This study uses intraperitoneal isoperistaltic side-to-side anastomosis (IISSA) with hand-sewn closure of the common opening to evaluate its safety and short-term outcomes. It is hypothesized that this technique may offer better short-term outcomes than EA.

AIM

To investigate the safety and short-term outcomes of IISSA with hand-sewn closure of the common opening compared to EA.

METHODS

Patients who underwent laparoscopic radical colon cancer surgery between January 2018 and June 2022 at the First Affiliated Hospital of Xiamen University were retrospectively analyzed. Surgical, postoperative, and pathological features of the IA and EA groups were observed before and after propensity score matching. Patients with right-sided and left-sided colon cancer were separated, each further divided into IA and EA groups (R-IA vs R-EA for right-sided, L-IA vs L-EA for left-sided), for stratified analysis of the aforementioned indicators.

RESULTS

After propensity score matching, 63 pairs were matched in each group. In surgical characteristics, the IA group exhibited less blood loss and shorter incisions than the EA group. Regarding postoperative recovery, the IA group showed earlier recovery of gastrointestinal function. Pathologically, the IA group had greater lymph node clearance. Relative to the R-EA group, the R-IA group experienced reduced blood loss, shorter assisted incisions, earlier recovery of gastrointestinal functions and greater lymph node dissection. When compared to the L-EA group, the L-IA group demonstrated earlier postoperative anal exhaust and defecation, along with a reduced length of hospitalization. Regarding postoperative complications, no statistically significant differences were found between the groups either after matching or in the stratified analyses.

CONCLUSION

Compared to EA, IISSA with hand-sewn closure of the common opening is a safe and feasible option for laparoscopic radical colon cancer surgery.