bluuebunny/crossref_metadata_2025 huggingface dataset:
Reconnaissance « sociale » au travail, motivation intrinsèque et performance des agents d’un hôpital public sénégalais
Authors: Fall Amar , Ndao Assane
Published: April 2024

Cette recherche examine les relations entre la reconnaissance de la part des supérieurs hiérarchiques, la motivation intrinsèque et la performance au travail. Elle soulève une problématique partiellement explorée en comportement organisationnel, notamment dans le milieu hospitalier. Prenant appui sur un échantillon de 158 agents d’un hôpital public sénégalais, cette recherche apporte un début de réponse à de nombreux travaux théoriques qui aboutissent à la conclusion d’un effet potentiellement plus puissant de la reconnaissance dite sociale, comparativement à la reconnaissance dite financière. Les résultats, issus d’une modélisation par équations structurelles sous LISREL, complétée par une analyse des effets indirects (Hayes, 2013), montrent que la reconnaissance de la part des supérieurs hiérarchiques peut effectivement constituer un déterminant majeur de la motivation et de la performance au travail. En effet, cette forme de reconnaissance au travail présente un fort pouvoir explicatif de la motivation et de la performance des agents. Plus précisément, elle est fortement associée à leur motivation intrinsèque et à leur performance dans la tâche. Elle explique au moins 23 % de la variation de la motivation des agents et plus de 74 % de leur performance dans la tâche lorsque ces derniers sont intrinsèquement motivés. Par conséquent, cette recherche apporte un soutien empirique notable à de nombreuses avancées théoriques, non encore élucidées d’un point de vue pratique. Elle permet, en revanche, de noter que l’influence positive de la reconnaissance de la part des supérieurs hiérarchiques sur la performance au travail dépend, en réalité, du type de performance évaluée : performance dans la tâche ou performance contextuelle. Parallèlement, cette recherche met en évidence le rôle déterminant de la motivation intrinsèque pour favoriser la performance des agents. Elle implique ainsi des contributions théoriques et managériales quasi inédites, résultant d’une recherche dont les prémisses théoriques n’ont pas encore suffisamment de réponses.
La nature a-t-elle besoin de l’administration ? Pour une réévaluation de la propriété privée et du contrat dans la gestion publique de l’environnement
Authors: Quéinnec Erwan , Facchini François
Published: April 2024

La propriété privée et la liberté d’entreprendre sont-elles néfastes à l’environnement ? Sans doute, si l’on en croit une récente proposition de loi recommandant de constitutionnaliser la protection des communs environnementaux, à leur détriment. Cet article met, conceptuellement et empiriquement, cette croyance normative à l’épreuve, en élargissant le propos à la relation entre environnement d’une part, propriété privée et liberté contractuelle d’autre part. Sur le plan conceptuel, l’environnement est un bien non exclusif et rival dont la préservation appelle effectivement régulation. Celle-ci peut être publique, selon ce qu’en conçoivent deux écoles de pensée économique – économie écologique, économie de l’environnement – plaidant respectivement pour la politique discrétionnaire et le principe pollueur-payeur (théories interventionnistes) ; elle peut aussi être privée, comme l’analysent deux autres écoles – économie des communs, écologie de marché – plaidant pour la gouvernance coopérative et le droit de propriété (théories libérales). Chacune de ces régulations ayant ses mérites et limites, ce qu’en dit la théorie économique est utile à la conception de la politique environnementale. En France, celle-ci est d’orientation interventionniste, conformément aux recommandations de l’économie écologique ; or, ses limites empiriques, notamment attestées par la Cour des comptes, correspondent aux prédictions des théories libérales. À rebours d’une croyance répandue, l’examen invite donc la politique publique à mieux intégrer la régulation privée en son sein, plutôt qu’à déduire l’ imperium de la première d’un échec présumé de la seconde à préserver l’environnement.
Folies amoureuses et fins de vie
Authors: Philippe Aloïse
Published: April 2024

Résumé Les folies amoureuses se déclineraient-elles d’une façon particulière en fin de vie ? Les termes de « folie » et de « fin de vie » nous mènent sur la voie d’une familiarité avec l’inconnu de l’approche de la mort, mais reste-t‑il encore une place pour la passion amoureuse dans cette temporalité qui nous laisse tant de questionnements ? Et si cette passion prenait sens paradoxalement comme construction psychique défensive, au moment où une menace vient peser sur la vie même ?
Que reste-t-il des valeurs de l’olympisme ?
Authors: Deydier Brigitte , Mastor Wanda
Published: April 2024

Cet échange entre une grande championne de judo et une professeure de droit est né d’une rencontre au sein du comité de déontologie du Comité national olympique et sportif français, dont elles sont toutes deux membres. Brigitte Deydier y parle, à travers son expérience d’ancienne championne d’Europe, du monde, et de vice-championne olympique, de l’évolution de l’éthique sportive. Au constat évident des mutations profondes du monde sportif et olympique s’ajoute désormais une vigilance renforcée quant à la défense des valeurs éthiques .
Les Jeux olympiques à l’épreuve du droit (et inversement)
Authors: Latty Franck
Published: April 2024

Les Jeux olympiques s’inscrivent dans un environnement juridique particulier, déterminé en grande partie par une organisation privée : le Comité international olympique. La prépondérance de la normativité privée qui en émane se vérifie à maints égards lorsque les jo sont scrutés sous l’angle juridique. Cet examen montre incidemment que les conceptions stato-centrées du droit résistent mal à l’épreuve des Jeux olympiques. Pour autant, l’autonomie du sport, revendiquée par le cio , rencontre des limites, ainsi qu’en témoigne la question du respect des droits humains dans le contexte des Jeux .
JO, pouvoir et spectacle
Authors: Floccari Stéphane
Published: April 2024

Penser l’olympisme dans sa version restaurée ne peut se faire sans tenir compte de deux champs d’activité dont il est inséparable depuis ses origines et que l’histoire récente n’a cessé de relier l’un à l’autre jusqu’à les rendre indissociables : celui du pouvoir politique, d’une part, et celui des spectacles sportifs de masse, d’autre part. C’est cette articulation qu’il convient d’examiner pour rendre compte de ce qui, au croisement du politique et du sportif, renouvelle le champ axiologique d’une activité de loisir ayant pris une place considérable dans l’existence des individus et dans l’organisation des sociétés, en un peu plus d’un siècle .
Visual Outcomes According to Age After Bilateral Implantation of Trifocal Intraocular Lenses
Authors: Kim Jung Wan , Eom Youngsub , Bae So Hyeon , Jeon Hyun Sun , Kim Seong-Jae , Kim Dong Hyun , Song Jong Suk
Published: April 2024

Purpose:

To investigate the effect of age on visual outcomes after the bilateral implantation of trifocal intraocular lenses (IOLs).

Methods:

A total of 290 patients (580 eyes) who underwent bilateral implantation of a trifocal IOL were enrolled in this retrospective case–control study. Patients were divided into five age groups: 45 to 49, 50 to 54, 55 to 59, 60 to 64, and 65 years and older. Postoperative monocular uncorrected and corrected distance visual acuity (UDVA and CDVA, respectively), uncorrected near visual acuity (UNVA), binocular distance-corrected defocus curve, spectacle dependence for near and distance vision, and patient satisfaction scores were compared among the five groups.

Results:

The 45 to 49 years group had significantly better mean UDVA (0.02 ± 0.05 logMAR) and UNVA (0.02 ± 0.04 logMAR) than the 65 years and older group (0.06 ± 0.09 and 0.09 ± 0.09 logMAR;
P
= .029 and
P
< .001; respectively). However, no significant differences were observed in the mean CDVA among the groups. Binocular visual performance of the 45 to 49 years group was better than that of the 65 years and older age group at defocuses of +1.00, +0.50, −1.00, and −3.00 D. No significant differences were observed in spectacle dependence for near and distance vision or in patient satisfaction scores among the five groups.

Conclusions:

Bilateral implantation of trifocal IOLs can provide excellent near and distance vision in both young and older patients. However, UDVA and UNVA revealed considerably worse results in the older group, although no significant difference was observed in CDVA and postoperative refractive errors by age.

[
J Refract Surg
. 2024;40(4):e270–e277.]
A second order quadratic integral inequality associated with regular problems
Authors: Bhattacharyya Moumita , Sana Shib Sankar
Published: April 2024

In this paper, we establish a quadratic integral inequality involving the second order derivative of functions in the following form: for all $ f\in D $,

   \begin{document}$ \begin{eqnarray} \int_{a}^{b}{r|f''|^{2}+p|f'|^{2}+q|f|^{2}}\geq\mu_{0}\int_{a}^{b}|f|^{2}. \end{eqnarray} $\end{document}

Here $ r, p, q $ are real- valued coefficient functions on the compact interval $ [a, b] $ with $ r(x) > 0 $. $ D $ is a linear manifold in the Hilbert function space $ L^{2}(a, b) $ such that all integrals of the above inequality are finite and $ \mu_{0} $ is a real number that can be determined in terms of the spectrum of a uniquely determined self adjoint differential operator in $ L^{2}(a, b) $. The inequality is the best possible, i.e., the number $ \mu_{0} $ cannot be increased. $ f $ is a complex-valued function in $ D. $
Ten Years of Gamification-Based Learning: A Bibliometric Analysis and Systematic Review
Authors: Al-Hafdi Fahad Saleem , Alhalafawy Waleed Salim
Published: April 2024

Gamification-based learning is a recent trend that has received increasing attention in the last few years due to digital development. Gamification has emerged as a vital aspect of the educational setting, with gamified elements playing a crucial role in e-learning environments. The current study is motivated by the need to address a gap in the existing research on the utilization of gamification in education. This gap exists due to a lack of studies that monitor the developments and effects of gamification in the educational environment. It is important to conduct such studies to provide guidance for future research in the field of gamification. A bibliometric analysis and systematic literature review were conducted to understand and describe gamification and its potential for learning. The results of the bibliometric analysis revealed that the most frequently used keywords in the studies were gamification, game-based learning (GBL), motivation, and engagement. The majority of research published in this field was conducted in the United States, followed by Spain and Britain. The Journal of Computers in Human Behavior and the Journal of Computers and Education were the two journals that focused primarily on the field of GBL. The most famous authors in this field are Hamari, Juho, Patel, Mitesh S., Landers, and Richard N. The field is experiencing significant growth, with the number of studies increasing from 7 in 2012 to 917 in 2021. The systematic review has found that undergraduates are the most frequent participants in gambling activities. The game elements that are most utilized are points, leaderboards, and badges, while the learning outcomes most addressed are achievement, engagement, and motivation. The primary objective of this paper is to provide a comprehensive guide to scholars and research institutes, outlining the key areas of emphasis related to the subject of gamification. The systematic research also identified the key components of gamification that instructors and e-learning designers may rely on most frequently.
Biological Butterfly Characterization with Mobile System Using Convolutional Neural Network (CNN) Classify Image
Authors: Saedan Mohamad Aidiid Hafifi , Kassim Murizah , Abd Aziz Azalina Farina
Published: April 2024

This study presents the development of a mobile identification system that detects biological butterfly characteristics through deep learning by capturing images. The challenge identified is that butterfly identification and recognition are difficult tasks because there are too many species, and it is hard to classify the types of butterfly species. Butterflies are also difficult to differentiate from each other, and limited studies are done using computer database referrals for butterflies’ characterization. This study aims to develop an automated computer program to easily identify the species of butterflies. Deep learning in image processing is programmed, which can control the qualification, segmentation, and classification of images and automatically detect butterfly characterization. The design system consists of three stages: capture, feature extraction, and butterfly recognition. Then, multiple recognition clues such as shape, color, texture, and size are extracted and analyzed to analyze and recognize the butterfly. This approach is faster and less complex than the previous approach. The result successfully presents a convolutional neural network (CNN) to classify images after training and characterization. The graphics processing unit (GPU) that trains the image dataset presents 86% image accuracy in the allocated time. This research is significant in such a way that new butterfly species will be automatically collected and stored on the online server. The information could be treasured as a valuable butterfly database.
Towards Intelligent Ship-Edge Computing Enabling Automated Configuration of Ship Models and Adaptive Self-Learning
Authors: O'Donncha Fearghal , Sheehan John D. , Touma Maroun , Zemouri Sofiane , High Rob H.
Published: April 2024

Edge computing is a solution that prioritizes data processing for low-latency and specialised applications, particularly those involving complex and mission-critical processes. An ideal example of an edge device is a ship, which heavily relies on its onboard computing capabilities to autonomously perform various navigation tasks. The transportation sector, including shipping, has witnessed the emergence of software-defined vehicles where sensor data, analytics, and algorithms play a pivotal role in optimising operations such as propulsion, cargo handling, energy management, communication, and human-machine interactions. This chapter delves into the significance of edge computing in the shipping industry, outlining its ability to enhance operational efficiencies. It explores the specific user requirements for an effective edge computing solution and highlights the role of AI in enabling scalable and continuous computation. Additionally, the chapter provides a comprehensive overview of edge infrastructure, platform requirements, and considerations pertaining to data and AI at the edge. The discussion incorporates the Mayflower autonomous ship as a case study, illustrating the criticality of edge computing for the future of shipping.
Shipping Green Fuel Strategies and Benchmarking Supported by Digital Twins
Authors: Mavrakos Anargyros Spyridon , Woznicki Maxime
Published: April 2024

The chapter is concerned with the potential of alternative fuels, i.e., any other fuel than conventional fossil fuels, for powering ships. The alternative fuels surveyed in this chapter include liquefied natural gas (LNG), methanol, hydrogen, ammonia, as well as synthetic fuels (e-fuels). The chapter explains how digital twin's simulation capabilities, can be used to model complex energy systems and alternative fuels and compute emissions, power consumption/output, etc., virtually. The chapter provides a comparison of alternative marine fuels, in terms of storage requirements and energy converters (e.g., combustion engines, fuel cells) suitability. Finally, the chapter discusses the role of digital twins in supporting further research and development towards the evolution of alternative fuels.
Beyond the Horizon
Authors: Cingöz Kübra Nur , Durmaz Vildan
Published: April 2024

The aviation industry is evolving, driven by advanced techology like autonomous systems, machine learning, and data analytics. Artificial intelligence (AI) applications, including predictive maintenance, flight planning, and air traffic management, are transforming operations and safety. However, integrating these technologies poses challenges and ethical dilemmas explored in this chapter. The authors analyze AI's impact on safety, efficiency, customer service, and cost-effectiveness in the airline industry. Through a systematic examination, the authors seek to offer insights into the pivotal question of whether the preference should lean towards a fully automated AI-driven system, human operation, or a harmonious AI-human partnership within the airline industry. By weighing the pros and cons of each approach, the authors aim to shed light on the path that holds the greatest promise for the future of aviation, ultimately ensuring the industry's continued excellence and sustainability.
Empowered Minds
Authors: Panda Subhajit , Kaur Navkiran
Published: April 2024

In the digital age, marked by unparalleled technological advancements, our world is intricately connected to the digital realm, transforming how we access, disseminate, and interact with information. This chapter explores the impact of the digital age on information access, emphasizing the need for effective navigation in a vast sea of digital information. Information literacy is positioned as a crucial skillset, extending beyond digital tool usage to encompass critical evaluation, ethical information use, and digital citizenship. The chapter delves into the evolving landscape of information literacy, addressing its intersection with emerging technologies, education, ethics, and hybrid learning. Various information literacy models are examined to provide practical insights for empowering individuals to navigate the complexities of the modern information landscape confidently. This exploration aims to equip readers with the essential tools for discerning, synthesizing, and utilizing information in the digital age, fostering empowered minds.
How Business Intelligence and Data Analytics Can Leverage Business
Authors: Rosário Albérico Travassos
Published: April 2024

Business intelligence (BI) and data analytics are crucial tools that organizations can leverage to improve their business operations, decision-making processes, and overall performance. These two disciplines involve collecting, analyzing, interpreting, and presenting data to provide valuable insights and inform strategic actions. This study aims to explore how BI and data analytics can leverage business. Provide organizations with the tools to extract valuable insights from their data, leading to better decision-making, operational efficiency, customer satisfaction, and competitive advantage. Integrating these disciplines into business processes can drive growth, innovation, and success in today's data-driven business landscape. Based on the above, it is intended to systematically review the bibliometric literature on how business intelligence and data analytics can leverage business in the Scopus database with the analysis of 75 academic and/or scientific documents.
Metaverse and NFT
Authors: Arjunwadkar Maithili Vijay , Ramageri Bharati Mahadev
Published: April 2024

The rise of non-fungible tokens (NFTs) and the emergence of the Metaverse is a significant paradigm shift in the digital landscape. NFTs are unique digital assets verified by blockchain technology that have revolutionized ownership and provenance in the digital realm. Concurrently, the Metaverse, a collective virtual shared space, is evolving into a multifaceted environment where NFTs play a pivotal role in shaping economies, identities, and interactions. This chapter covers NFTs the transforming digital ownership, art in the digital age, Metaverse, economy and commerce, social structures in the Metaverse.
Combining Models to Shape Project Success
Authors: Gomes Jorge Vareda , Romão Mário Batista
Published: April 2024

Organizations are under constant pressure. Externally, they face a scenario of intense competition, coupled with a changing environment which is full of uncertainty. Internally, organizations have to deal with limited resources, whilst at the same time comply with increasing requirements and strategic demands. A key to success is the successful management of organizational projects. According to worldwide studies, information systems and information technology (IS/IT) projects have a relatively low success rate. To face these various business challenges, the authors suggest that emphasis should be put on the integration of various and disperse management tools. By combining project management maturity models with benefits management approaches, the authors expect to reinforce support for the drive to use organizational projects to fulfill organizations' strategic plans that will enhance the control techniques of project management, whilst recognizing the need for organizational change and for ensuring the interpersonal skills necessary to orchestrate the successful completion of a project.
Greening the Guns
Authors: Karakuş Muhammed
Published: April 2024

Globalization's inexorable interconnectedness has swept non-state actors onto the stage of global governance, weaving them into its intricate tapestry. Yet, the body of literature is fixated on their ability to sway the levers of state power. This focus overshadows not only their but also the potential contributions, nimbleness, diverse vantage points, and unburdened agility of armed non-state actors (ANSAs) who are known for their most egregious examples. With their sprawling and deftly governance capacities, ANSAs move beyond local issues and incrementally take actions on global policies. States, international organizations, and NGOs look further afield to grow their global clout in shaping, implementing, and accomplishing climate policy while climate change's incipient ascent has taken place. However, too little is still known about conflict areas and ANSAs. By shattering the illusion of ANSA as mere bystanders of environmental concerns, this study asserts that full-fledged environmental protection can be achieved with their engagement.
Chatbot in Ecommerce
Authors: Baby Maruthi Puvvadi , Prasad Dhruva , Niveditha B.
Published: April 2024

The assimilation of chatbots right into the swiftly expanding shopping landscape has actually arisen as a transformative pressure reshaping customer communication paired with redefining the on the internet purchasing experience. At its core an AI in shopping functions as a smart online aide expertly directing individuals via the whole acquisition trip. Utilizing sophisticated natural language handling (NLP) these electronic employees stand out at comprehending as well as reacting to individual inquiries, making certain smooth as well as interactive discussions. Additionally, chatbots function as expert individual customers, leveraging individual habits and also choices to provide tailored referrals.
Students' Reflections on Online Service-Learning During the COVID-19 Pandemic
Authors: Guanzon Marietta Panganiban
Published: April 2024

This descriptive phenomenology study reviewed the e-journal of 40 undergraduate students who took online service-learning. This research will answer the following questions: Using the Lasallian Reflection Framework as a guide in reflective journal writing, what are the benefits and limitations of online service-learning (S-L)? What lessons did the students gain from their online or e-S-L experience? Based on the results of this study, online S-L has its benefits, such as online S-L being a rewarding experience; partner organizations receiving projects, students becoming aware of community situations and issues, course objectives being aligned with the service; and the opportunity to work together remotely as a team. However, one of the major constraints of online S-L is that it has minimal engagement with partner organizations. This research recommends future studies on how online S-L reflection activity is related to student outcomes and the impact of an online setting on partner communities.
Rural Development Plan by Empowering the Community Through Service-Learning Programs
Authors: Bawole Paulus
Published: April 2024

Universities as higher education institutions have the obligation to conduct research and perform community services. Service-Learning is a program which has a positive impact on students' attitude towards community engagement. In Indonesia there are some communities living below the poverty line. One of them is a community living in villages in Sumba Tengah Regency, the Province of NTT. Although they live in poverty, they have potential that can be explored to improve their welfare. The faculty of architecture and design, Duta Wacana Christian University manages the International Field School and Thematic Service-Learning Program (IFSTS-L) for students who are interested in conducting service-learning directly from the communities. Through the IFSTS-L the students are able to practice their knowledge learned from the University to empower the marginalized community. Besides, the students can also collaborate with fellow students from Australian National University in order to help the community and at the end they are able to make reflections for their lives in the future.
Evaluating Computational Thinking Based on Game-Based Learning
Authors: He Ying , Wan Yahaya Wan Ahmad Jaafar
Published: April 2024

Technology has brought the biggest changes to education. Over the past few years, game-based learning has helped learners increase their interest in learning. But games are rarely included in higher education, especially in programming language courses. Programming has long been considered a difficult subject to get started in, and although teachers around the world are aware of the importance of computational thinking in solving programming problems, little research has been done on it. Based on the design-based research method and ADDIE model, this study proposes that teachers use game learning to carry out programming activities, and analyzes its impact on computational thinking ability. This study conducted educational intervention on first-year students majoring in software in Jiangxi Vocational College of Finance and Economics. The objective is to assess whether students can try to improve their teaching effectiveness by using a game-based learning style combined with computational thinking elements when they encounter programming difficulties.
Mobile Learning and Bring Your Own Device (BYOD)
Authors: Shafik Wasswa
Published: April 2024

This chapter explores the significance of mobile learning (ML) and bring your own device (BYOD) to enhance education in the digital age (DA). It highlights the growing use of mobile devices in educational settings and their advantages and drawbacks. The literature review analyzes existing research, frameworks, and best practices for utilizing mobile devices and smartphones in educational settings. The study examines pedagogical approaches, mobile resources, and educational apps that utilize mobile technology for personalized and engaging learning. It also discusses BYOD policies, implementation difficulties, and successful case studies of BYOD adoption. The chapter offers best practices for maximizing the benefits of BYOD, including efficient teaching methods, classroom management strategies, and a safe learning environment. The chapter also speculates on future developments and effects of BYOD and mobile learning in the classroom, exploring new technologies and innovations that may influence education.
Internet of Things (IoT) Applications in Last Mile Delivery
Authors: Öztürk Seda , Akkartal Erkut
Published: April 2024

The internet of things (IoT) stands out as a transformative technology that has significantly impacted various sectors, including last mile delivery (LMD). IoT has become an integral part of our daily existence, serving as a crucial resource for both individuals and businesses. This study has explored disruptive technologies with a focus on IoT, examining its applications and their profound effects on LMD. In our rapidly evolving world, technological advancements and their implementations often outpace our capacity to analyze and discuss them. While this study is grounded in the most recent research and findings, the rapid emergence of new disruptive technologies could challenge our current understanding. Despite these limitations, it is clear that IoT applications significantly enhance last mile delivery in various ways. For businesses looking to outperform their rivals, the implementation of effective LMD strategies is essential.
The Relationship Between Content Typologies and Brand Engagement on Instagram
Authors: Domingues Bárbara , Remondes Jorge
Published: April 2024

This chapter aims to analyze the relationship between types of content and brand engagement on the social network Instagram, using the official Futebol Clube do Porto account as a case study. Task-oriented, informative, remunerative, and entertainment content was analyzed and related to the metrics that measure brand engagement (likes, comments, impressions, e-score), using the Futebol Clube do Porto account as a case study. It was found that the entertainment category is the one that stands out, as it has the highest percentage of engagement. It was also found that remunerative content was highly favored. Informative content proved to be the most neutral of all. The content that doesn't hold users' attention is task-oriented. It can be concluded that, although there are disparities in the levels of interaction between the various types of content, they all play a very important and necessary role in a good marketing strategy.
Shopping Therapy
Authors: Jumani Zulfiqar Ali , Al Salmani Atheer Rashid Amur , Khalil Muhammad Khuram
Published: April 2024

Online shopping has increased with the development of technology in the modern era, which leads people to make unplanned purchases. The purpose of this study is to examine the factors affecting the rush to buy online in the Omani market. These factors (social shopping, convenience shopping, adventure shopping, idea shopping) motivate consumers to initiate shopping readiness and impulse buying. The research also aims to know the relationship between factors and impulsive buying via the internet and how they affect the Omani market. The data were collected from 210 online buyers belong to capital city Muscat, Oman. Structure equation modelling was employed via SmartPLS to check the hypotheses. Results endorse that out of four hypotheses, only two are accepted. Following structure equation modelling results, there is a positive relationship between adventure shopping and impulse buying. In addition, a similar relationship has been seen between value shopping and impulse buying. Results are also helpful to understand the importance and great potential of concerned factors to encourage the consumers' buying behaviour towards impulsive buying.
Beyond Compliance
Authors: Čufar Matic , Belak Jernej , Primec Andreja
Published: April 2024

A broader range of key stakeholder interests reduces the risk of excessive risk-taking due to profit maximization and leads to more comprehensive corporate governance, which foster CSR practice and considers the right of its key stakeholders (such as human rights) in their operations. To ensure that companies in their corporate governance take into account a broader range of rights and interests, including factors related to the environment, society, and governance, and to ensure socially responsible management, the EU has adopted legislations such as NFRD and CSRD. With such legislation, companies in their corporate governance are obligated to consider a wider circle of stakeholders (individuals or groups), their rights and their needs. In this chapter, the NFRD and CSRD legislation will be examined, and through practical examples using the content analysis method, it will be checked to what extent companies include the interests of key stakeholders in their non-financial information reporting and how they report on their risks and opportunities.
Integrating Visual Transformer and Graph Neural Network for Visual Analysis in Digital Marketing
Authors: Chao Yingna , Zhu Hongfeng , Zhou Yueding
Published: April 2024

In today's digital economy, digital marketing has become a crucial means for businesses to drive growth and enhance brand exposure. However, with increasing competition, predicting and optimizing advertising effectiveness has become a pivotal component in formulating digital marketing strategies. In order to better understand ad creatives and deeply explore the information within them, this study focuses on integrating visual transformer (VIT) and graph neural network (GNN) methods. Additionally, the study leverages generative adversarial networks (GAN) to enhance the quality of visual features, aiming to achieve visual analysis, exploration, and prediction of advertising effectiveness in digital marketing. This approach begins by employing VIT, an emerging visual transformer technology, to transform image information into high-dimensional feature representations.
Health facility-based interventions and the uptake of contraception among people living with HIV: A systematic review & meta-analysis
Authors: Revathy R , Chaurasia Himanshu , Shetty Siddesh , Joshi Beena
Published: April 2024

Background & objectives:

The prong 2 of 4 prong strategy introduced by the World Health Organization aims at averting unintended pregnancies among people living with HIV (PLHIV). This systematic review aimed to generate evidence on the effectuality of facility-based interventions in improving uptake of modern and dual contraception, for reducing unmet family planning (FP) needs and unintended pregnancies among PLHIV.

Methods:

Articles evaluating facility-based interventions to integrate human immunodeficiency virus (HIV) and FP published in English language were included. Eligible studies were identified from electronic and lateral search from three databases (PubMed, Cochrane Library and Web of Science) and grey literature. HIV care with no/minimal focus on FP was considered a comparator. Quality was assessed using design-appropriate tools. Descriptive analysis was presented in tables. Uptake of dual methods, unmet FP needs and unintended pregnancies were included in the meta-analysis to estimate pooled odds ratio (OR) with random effect model, P and I
2 values.

Results:

The search yielded 2112 results. After excluding duplicates and unfit articles, 17 were found eligible for review and nine for meta-analysis. The pooled OR for uptake of dual contraception was 1.69 (1.14, 2.5) (P=0.008; I
2=90%), for unmet FP needs was 0.58 (0487, 0.69) (P<0.00001; I
2=0%) and for unintended pregnancies was 0.6 (0.32, 1.1) (P=0.1, I
2=38%).

Interpretation & conclusions:

The results of this meta-analysis suggest that health facility-based interventions to integrate HIV and FP services do result in improved uptake of dual methods and reduce unmet need for contraception along with a protective trend on incidence of unintended pregnancies. Such facility-based integration would ensure universal access to effective contraception and facilitate in achieving Sustainable Development Goals that aim at ending epidemics like HIV.
Implementation of GPT models for Text Generation in Healthcare Domain
Authors: Karak Anirban , Kunal Kaustuv , Darapaneni Narayana , Paduri Anwesh Reddy
Published: April 2024

INTRODUCTION: This paper highlights the potential of using generalized language models to extract structured texts from natural language descriptions of workflows in various industries like healthcare domainOBJECTIVES: Despite the criticality of these workflows to the business, they are often not fully automated or formally specified. Instead, employees may rely on natural language documents to describe the procedures. Text generation methods offer a way to extract structured plans from these natural language documents, which can then be used by an automated system.METHODS: This paper explores the effectiveness of using generalized language models, such as GPT-2, to perform text generation directly from these textsRESULTS: These models have already shown success in multiple text generation tasks, and the paper's initial results suggest that they could also be effective in text generation in healthcare domain. In fact, the paper demonstrates that GPT-2 can generate comparable results to many current text generation methods.CONCLUSION: This suggests that generalized language models can increase the efficiency and accuracy in text generation, where workflows are repetitive and sequential.
Research on optimal scheduling of microgrid based on improved quantum particle swarm optimization algorithm
Authors: Liu Fengyi , Duan Pan
Published: April 2024

INTRODUCTION: With the large-scale integration of new energy into the grid, the safety and reliability of the power grid have been severely tested. The optimized configuration of micro power systems is a key element of intelligent power systems, playing a crucial role in reducing energy consumption and environmental pollution.
OBJECTIVES: a power grid optimization scheduling model is proposed that comprehensively considers the issues of power grid operating costs and environmental governance costs
METHODS:  Using quantum particle swarm optimization method to optimize the objective function with the lowest system operating cost and the lowest environmental governance cost. In order to improve the search ability of the algorithm and eliminate the problem of easily getting stuck in local optima, the Levy flight strategy is introduced, and the variable weight method is used to update the particle factor to improve the optimization ability of the algorithm.
RESULTS:  The simulation results show that the improved quantum particle swarm optimization algorithm has strong optimization ability, and the scheduling model proposed in this paper can achieve good scheduling results in different scheduling tasks.
CONCLUSION: （1）The improved particle swarm algorithm, in comparison to itspredecessor, boasts a greater degree of optimization accuracy, aswifter convergence rate, and the capability to avoid the algorithm'sdescent into the local optimal solution at a later stage of the process. （2）The proposed model can effectively reduce users’ electricity costs and environmental pollution, and promote the optimized operation of microgrids.
rol del espacio público en tiempos de crisis: aproximaciones críticas desde América Latina
Authors: Zumelzu Antonio , Herrmann-Lunecke Marie Geraldine
Published: April 2024

La acelerada urbanización es considerada como uno de los problemas territoriales a nivel mundial más importantes en el siglo XXI, y pone a prueba la habitabilidad, la salud y la calidad de vida en las ciudades Latinoamericanas (UN-Habitat, 2022). Debido a un desarrollo urbano auto-céntrico, los espacios públicos con vocación peatonal y como lugares de vida pública por excelencia, están amenazados de volverse cada vez más escasos y de menor calidad (Herrmann-Lunecke et al., 2020). Por otra parte, los impactos del cambio climático, en el que Chile se encuentra entre los diez países más afectados, implica la confrontación de desafíos urgentes para la mejora de los espacios públicos, especialmente en áreas centrales y peri-centrales donde se concentra la mayor parte de la población tanto en ciudades intermedias como en metropolitanas (Cortina y Madeira, 2023). Lamentablemente, hasta la fecha …
Parallel pathways: A chronicle of evolution in rectal and breast cancer surgery
Authors: Pesce Antonio , Fabbri Nicolò , Iovino Diletta , Feo Carlo Vittorio
Published: April 2024

In this editorial, we have analyzed the historical evolution of rectal and breast cancer surgery, focusing on the progressive reduction of demolitive approaches and the increasing use of more conservative strategies, accompanied by a growing emphasis on perioperative treatments aimed at enhancing surgical outcomes. All of these changes have been made possible due to an increased awareness and understanding of oncological diseases and improved perioperative treatments.
Computed tomography radiogenomics: A potential tool for prediction of molecular subtypes in gastric stromal tumor
Authors: Yin Xiao-Nan , Wang Zi-Hao , Zou Li , Yang Cai-Wei , Shen Chao-Yong , Liu Bai-Ke , Yin Yuan , Liu Xi-Jiao , Zhang Bo
Published: April 2024

BACKGROUND

Preoperative knowledge of mutational status of gastrointestinal stromal tumors (GISTs) is essential to guide the individualized precision therapy.

AIM

To develop a combined model that integrates clinical and contrast-enhanced computed tomography (CE-CT) features to predict gastric GISTs with specific genetic mutations, namely KIT exon 11 mutations or KIT exon 11 codons 557-558 deletions.

METHODS

A total of 231 GIST patients with definitive genetic phenotypes were divided into a training dataset and a validation dataset in a 7:3 ratio. The models were constructed using selected clinical features, conventional CT features, and radiomics features extracted from abdominal CE-CT images. Three models were developed: ModelCT sign, modelCT sign + rad, and model CTsign + rad + clinic. The diagnostic performance of these models was evaluated using receiver operating characteristic (ROC) curve analysis and the Delong test.

RESULTS

The ROC analyses revealed that in the training cohort, the area under the curve (AUC) values for modelCT sign, modelCT sign + rad, and modelCT sign + rad + clinic for predicting KIT exon 11 mutation were 0.743, 0.818, and 0.915, respectively. In the validation cohort, the AUC values for the same models were 0.670, 0.781, and 0.811, respectively. For predicting KIT exon 11 codons 557-558 deletions, the AUC values in the training cohort were 0.667, 0.842, and 0.720 for modelCT sign, modelCT sign + rad, and modelCT sign + rad + clinic, respectively. In the validation cohort, the AUC values for the same models were 0.610, 0.782, and 0.795, respectively. Based on the decision curve analysis, it was determined that the modelCT sign + rad + clinic had clinical significance and utility.

CONCLUSION

Our findings demonstrate that the combined modelCT sign + rad + clinic effectively distinguishes GISTs with KIT exon 11 mutation and KIT exon 11 codons 557-558 deletions. This combined model has the potential to be valuable in assessing the genotype of GISTs.
Effectiveness of fecal DNA syndecan-2 methylation testing for detection of colorectal cancer in a high-risk Chinese population
Authors: Luo Wen-Feng , Jiao Yu-Ting , Lin Xiao-Ling , Zhao Ying , Wang Sheng-Bo , Shen Jian , Deng Jie , Ye Yu-Feng , Han Ze-Ping , Xie Fang-Mei , He Jin-Hua , Wan Yu
Published: April 2024

BACKGROUND

Colorectal cancer (CRC) is among the most prevalent and life-threatening malignancies worldwide. Syndecan-2 methylation (mSDC2) testing has emerged as a widely used biomarker for early detection of CRC in stool and serum samples. Cancer (CRC) is among the most prevalent and life-threatening malignancies worldwide. mSDC2 testing has emerged as a widely used biomarker for early detection of CRC in stool and serum samples.

AIM

To validate the effectiveness of fecal DNA mSDC2 testing in the detection of CRC among a high-risk Chinese population to provide evidence-based data for the development of diagnostic and/or screening guidelines for CRC in China.

METHODS

A high-risk Chinese cohort consisting of 1130 individuals aged 40-79 years was selected for evaluation via fecal mSDC2 testing. Sensitivity and specificity for CRC, advanced adenoma (AA) and advanced colorectal neoplasia (ACN) were determined. High-risk factors for the incidence of colorectal lesions were determined and a logistic regression model was constructed to reflect the efficacy of the test.

RESULTS

A total of 1035 high-risk individuals were included in this study according to established criteria. Among them, 16 suffered from CRC (1.55%), 65 from AA (6.28%) and 189 from non-AAs (18.26%); 150 patients were diagnosed with polyps (14.49%). Diagnoses were established based upon colonoscopic and pathological examinations. Sensitivities of the mSDC2 test for CRC and AA were 87.50% and 40.00%, respectively; specificities were 95.61% for other groups. Positive predictive values of the mSDC2 test for CRC, AA and ACN were 16.09%, 29.89% and 45.98%, respectively; the negative predictive value for CRC was 99.79%. After adjusting for other high-risk covariates, mSDC2 test positivity was found to be a significant risk factor for the occurrence of ACN (P < 0.001).

CONCLUSION

Our findings confirmed that offering fecal mSDC2 testing and colonoscopy in combination for CRC screening is effective for earlier detection of malignant colorectal lesions in a high-risk Chinese population.
MicroRNA-298 determines the radio-resistance of colorectal cancer cells by directly targeting human dual-specificity tyrosine(Y)-regulated kinase 1A
Authors: Shen Mei-Zhu , Zhang Yong , Wu Fang , Shen Mei-Zhen , Liang Jun-Lin , Zhang Xiao-Long , Liu Xiao-Jian , Li Xin-Shu , Wang Ren-Sheng
Published: April 2024

BACKGROUND

Radiotherapy stands as a promising therapeutic modality for colorectal cancer (CRC); yet, the formidable challenge posed by radio-resistance significantly undermines its efficacy in achieving CRC remission.

AIM

To elucidate the role played by microRNA-298 (miR-298) in CRC radio-resistance.

METHODS

To establish a radio-resistant CRC cell line, HT-29 cells underwent exposure to 5 gray ionizing radiation that was followed by a 7-d recovery period. The quantification of miR-298 levels within CRC cells was conducted through quantitative RT-PCR, and protein expression determination was realized through Western blotting. Cell viability was assessed by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay and proliferation by clonogenic assay. Radio-induced apoptosis was discerned through flow cytometry analysis.

RESULTS

We observed a marked upregulation of miR-298 in radio-resistant CRC cells. MiR-298 emerged as a key determinant of cell survival following radiation exposure, as its overexpression led to a notable reduction in radiation-induced apoptosis. Intriguingly, miR-298 expression exhibited a strong correlation with CRC cell viability. Further investigation unveiled human dual-specificity tyrosine(Y)-regulated kinase 1A (DYRK1A) as miR-298’s direct target.

CONCLUSION

Taken together, our findings underline the role played by miR-298 in bolstering radio-resistance in CRC cells by means of DYRK1A downregulation, thereby positioning miR-298 as a promising candidate for mitigating radio-resistance in CRC.