bluuebunny/crossref_metadata_2025 huggingface dataset:
Manejo Anestésico en Pacientes con Comorbilidades Complejas: Estrategias Efectivas y Resultados Postoperatorios
Authors: Vega Orozco María Rosa , Oliveros Rey Luis Fernando , Tafur Currea Silvana Janeth , Suárez Molina Victoria Eugenia
Published: July 2024

El manejo anestésico de pacientes con comorbilidades complejas presenta desafíos significativos debido al mayor riesgo de complicaciones perioperatorias. Este artículo de revisión tiene como objetivo identificar y evaluar las estrategias más efectivas para manejar pacientes con comorbilidades como cardiopatías y diabetes durante el período perioperatorio, así como analizar el impacto de estas comorbilidades en el manejo anestésico y los resultados postoperatorios. Mediante la metodología PRISMA, se revisaron estudios relevantes que abordan estos aspectos. Las estrategias efectivas incluyen una evaluación preoperatoria exhaustiva, manejo óptimo de comorbilidades, planificación anestésica individualizada, monitorización intraoperatoria avanzada y cuidados postoperatorios intensivos. Además, se observó que las comorbilidades, como cardiopatías y diabetes, aumentan el riesgo de eventos adversos, complicaciones metabólicas y respiratorias, requiriendo un control meticuloso y una intervención temprana para mejorar los resultados postoperatorios. Este artículo proporciona recomendaciones prácticas basadas en la evidencia para optimizar el cuidado anestésico de estos pacientes, subrayando la importancia de un enfoque multidisciplinario y personalizado.
Texto para Discussão 2960
Authors: Mendes Krisley
Published: July 2024

Uma importante questão de pesquisa em economia agrícola é compreender como choques econômicos afetam os diferentes elos de uma cadeia produtiva, uma vez que os ganhos e perdas induzidos por eles podem se distribuir de forma não uniforme entre os diferentes atores. Diante de um cenário que preconiza possível intensificação na facilitação da importação do arroz no Brasil, este trabalho avaliou os efeitos de uma política comercial menos restritiva ao comércio desse produto no país. A estratégia empírica adotou um modelo de equilíbrio parcial que permite simulações microeconômicas comumente utilizadas pela United States International Trade Commission (USITC) na definição de sua política comercial e em suas argumentações a litígios com a World Trade Organization (WTO). Os resultados mostram que mesmo sob condições desfavoráveis, representadas por alta elasticidade de substituição, e alta sensibilidade da oferta e da demanda a variações nos preços e, ainda, sob uma política comercial altamente permissiva, o impacto nos produtores domésticos e nos parceiros do Mercado Comum do Sul (Mercosul) é bastante baixo. O consumidor tende a aumentar o consumo com a redução do preço, mas a magnitude dessa redução pouco afeta os índices inflacionários.
INVESTMENT DECISIONS AMONG THE STOCK MARKET INVESTORS AND AWARENESS ON OPERATIONAL PERFORMANCE OF PRIVATIZED COMPANIES
Authors: Punnavanam Dr. N. , Rinju P. Najiya
Published: July 2024

Operational performance quantifies the effectiveness and efficiency with which a company carries out its internal procedures in order to meet its targets. It entails keeping an eye on and improving key performance indicators (KPIs) like cost effectiveness, quality, productivity, and customer satisfaction. By assessing and enhancing its operational performance, a company can lower expenses, boost investor satisfaction, and become more competitive. Operational performance is crucial for businesses for a variety of reasons. It can, first and foremost, have a big effect on a company's bottom line. By enhancing operational performance, a company can raise revenue, cut expenses, and boost profitability. For instance, a manufacturing company's sales and profits will rise if it can boost productivity and create more products using the same resources. The present study aimed to know the investment decisions among the stock market investors and operational performance of privatized companies in Malappuram District of Kerala. The study used a questionnaire method to collect the data from 120 respondents by applying convenience sampling. The study revealed that investor must measure operational performance in order to pinpoint problem areas and streamline procedures. Organisations may monitor their progress and make well-informed decisions to increase productivity and cut expenses by establishing quantifiable goals and monitoring key performance indicators (KPIs).
AWARENESS AND SATISFACTION LEVEL OF GST AMONG RETAILERS
Authors: k Saranya
Published: July 2024

The Goods and Service Tax (GST), the biggest reform in India’s indirect tax structure since the economy began to be opened up 25 years ago at last looks set to become a reality. The Constitution Amendment Bill finally got the nod of Rajya Sabha. The government successfully stitched together a political consensus on the GST Bill to pave the way for the much-awaited rollout of the landmark tax reform that will create a common market of 1.25 billion people. GST will be a game-changing reform for the Indian economy by developing a common Indian market and reducing the cascading effect of tax on the cost of goods and services. It will impact the Tax structure, Tax incidence, and Tax computation. Tax payment, Compliance, Credit utilization, and reporting led to a complete overhaul of the current indirect tax system. Law provides for a period that may extend to five years, based on the recommendations of the GST Council. Here, every taxpayer will be issued a 15-digit common Identification Number which will be called a “Goods and Service Identification Number” (GSTIN) a pan-based number. GST is a consumption-based tax levied on the sale, manufacturing, and consumption of goods and services at the national level. Many taxes have been subsumed under the GST Act.
Comparative quantitative profiling of rare justicidin B in in vitro cultivated Linum species
Authors: Nedelcheva Rada , Zarev Yancho , Ionkova Iliana
Published: July 2024

This research investigates the production and optimization of justicidin B from L. austriacum and L. alpinum in vitro cultures, aiming for high yields of this pharmacologically significant arylnaphthalene lignan. Various cultivation techniques were employed, including shoot, root, and callus cultures, with different media formulations to induce justicidin B biosynthesis. In vitro shoots, callus, and root cultures of both Linum species were successfully established to enhance justicidin B production. Quantification of the lignan was performed using LC-HRESI-MS analysis, comparing the quantities to those of isolated and identified justicidin B from L. leonii hairy root extract. The results show that the in vitro root cultures of L. alpinum produced 1.3 times more justicidin B than those of L. austriacum (7.24 μg/mg DW and 5.31 μg/mg DW, respectively). Additionally, the shoot cultures of L. alpinum yielded 4.5 times more justicidin B than those of L. austriacum (4.34 μg/mg DW and 0.96 μg/mg DW, respectively).
Le financement du Mouvement olympique et des Jeux olympiques
Authors: Preuß Holger
Published: July 2024

Le Mouvement olympique regroupe la majorité des organisations sportives dans le monde et reçoit un financement important du Comité international olympique (CIO). Le CIO distribue 90 % des revenus générés par les Jeux olympiques (JO), ce qui en fait le « moteur » du sport mondial. Les comités d’organisation des JO collectent des fonds supplémentaires grâce aux JO, qui se sont élevés à 11 Md$ sur la dernière période financière de 2017-2020/21. Cet article apporte un éclairage sur les structures complexes du financement et de la répartition des revenus des JO, et fournit les connaissances dont chaque stakeholder , qui cherche à obtenir un meilleur financement de la part du système olympique, a besoin. Même si ces revenus ont continué à augmenter jusqu’à présent, la plupart des organisations sportives ont besoin de plus de ressources pour préserver leur autonomie et faire face à des demandes croissantes, telles qu’une meilleure gouvernance, la protection de l’environnement, la professionnalisation, etc. Classification JEL :
Un modèle original de financement du tennis basé sur la valorisation des grands tournois
Authors: Autier Philippe , Barget Eric
Published: July 2024

Le cas du tennis est relativement original du point de vue de son modèle économique pour plusieurs raisons présentées dans cet article. D’abord, les grands tournois occupent une place centrale dans le financement de l’International Tennis Federation (ITF) et, particulièrement, de certaines fédérations nationales comme la Fédération française de tennis (FFT). Les instances du tennis français ont su garder la mainmise sur leurs tournois les plus prestigieux et en tirent les bénéfices. Cet argent irrigue les ligues régionales et les comités départementaux, qui sont très sains financièrement, et les clubs qui sont, pour leur part, dans des situations souvent beaucoup plus fragiles. Ensuite, les tournois professionnels – à l’exception des plus importants que sont le Grand Chelem, les ATP 1000 et quelques ATP 500 – trouvent leurs ressources, pour une faible part seulement, dans les droits télévisés et la billetterie (les stades sont clairsemés une grande partie du temps), le modèle étant principalement basé sur les relations publiques et les partenariats. Classification JEL :
L’impact de la gestion du besoin en fonds de roulement sur la rentabilité des entreprises du CAC 40 dans un contexte de crise
Authors: Ajili Ben Youssef Wissem , Rozet Emma
Published: July 2024

L’article a pour objectif d’analyser l’impact de la gestion du besoin en fonds de roulement (BFR) sur la rentabilité des entreprises dans le contexte de la crise de la Covid-19. L’étude couvre la période 2017-2021 et porte sur un échantillon de vingt-quatre entreprises du CAC 40. La rentabilité est mesurée par deux indicateurs, à savoir le rendement des capitaux propres (ROE, return on equity ) et le rendement des actifs (ROA, return on asset ). Le cycle de conversion des liquidités est l’indicateur retenu pour l’analyse du BFR. Nous avons utilisé le coefficient de Kendal pour étudier les corrélations entre les différentes variables. Nos résultats confirment une corrélation significative entre le BFR et la rentabilité. Cependant, cette relation a évolué durant la crise de la Covid-19, avec une augmentation de l’impact des délais clients sur la rentabilité. L’étude conclut que la gestion du BFR peut être un facteur de résilience en temps de crise. Classification JEL :
Peut-on faire de l’État un enjeu « stratégique » ?
Authors: Cos Rafaël
Published: July 2024

Alors que l’État est, d’une manière ou d’une autre, situé au cœur de la plupart des perspectives critiques actuelles, tout se passe comme s’il demeurait relégué à l’arrière-plan des débats stratégiques qui traversent les différents mondes de l’anticapitalisme. Cet article explore les raisons de ce paradoxe et esquisse certaines des pistes permettant de réinscrire la question de l’État au sein des mobilisations émancipatoires.
Vers un municipalisme social ? Perspectives stratégiques sur les « mairies du changement » et les mouvements sociaux à Barcelone
Authors: Hamou David
Published: July 2024

Est-il possible de dépasser l’alternative stratégique entre prendre le pouvoir ou y échapper ? Des positions au sein des institutions publiques peuvent-elles renforcer les institutions populaires qui y sont extérieures ? Cet article analyse les propositions stratégiques d’Erik Olin Wright à l’aune de l’expérience du municipalisme à Barcelone (2015-2023), qui visait à transformer les mairies de l’intérieur en les ouvrant à la participation des mouvements sociaux.
La lutte avortée pour le changement au Chili par le biais d’une nouvelle constitution
Authors: Delamaza Gonzalo , Nez Héloïse , Talpin Julien
Published: July 2024

Pourquoi une décennie de mobilisations, suivie d’une révolte sociale massive et d’une Convention ayant intégré les revendications des manifestant·es, n’ont-elles pas réussi à changer la Constitution politique héritée de la dictature militaire au Chili ? Cet article décrit les caractéristiques de ces processus, en examinant leurs forces et leurs faiblesses dans l’effort de changement constitutionnel. L’auteur constate ici que l’un des principaux défis à relever concerne l’amélioration de la communication politique.
Travailleurs et travailleuses migrant·es, une nécessaire lutte pour l’égalité
Authors: Veron Daniel
Published: July 2024

Lutter contre l’exploitation du travail implique de lutter contre le racisme et le sexisme. En décortiquant les mécanismes du travail migrant, Daniel Veron montre en quoi sa fonctionnalité spécifique dans le capitalisme tient au fait qu’il combine les différences associées à la citoyenneté, au genre et à la race pour délimiter des segments du marché du travail assignés aux emplois les plus pénibles et les moins rémunérés. L’égalité des droits apparaît alors comme le seul horizon capable de remettre en cause ce système d’exploitation différenciée.
Le Visiteur aux gants de soie – extraits –
Authors: Haddad Hubert
Published: July 2024

Dans un style original qui mêle onirisme et réalisme, le roman relate l’histoire de Marie-Hans Herder, gynécologue laonnois froid et consciencieux le jour – assisté d’une étrange secrétaire à la fausse main – et rôdeur fétichiste la nuit, visiteur de la maison d’Isabelle, passante fascinante rencontrée par hasard. Marie-Hans n’est pas qui l’on croit. La verticale et sinueuse ville de Laon est une métaphore des profondeurs troubles du personnage.
L’instrument anti-coercition. Première analyse du règlement relatif à la protection de l’union et de ses états membres contre la coercition économique
Authors: Culot Henri
Published: July 2024

Le Règlement (UE) 2023/2675 ajoute à l’arsenal commercial de l’Union européenne un « instrument anti-coercition », pour lui permettre de réagir à des actes de coercition économique commis par des États tiers contre l’Union et ses États membres, éventuellement par l’intermédiaire des entreprises qui y sont établies. Cet article présente les objectifs poursuivis par le Règlement et les dangers auxquels on a dû penser lors de son élaboration. Il rappelle que le Règlement n’est pas une initiative isolée, mais que d’autres instruments existent déjà au sein de l’ordre juridique de l’Union pour réagir contre des actes agressifs en matière économique. L’article présente ensuite les principales dispositions du Règlement avant de discuter brièvement les questions juridiques qu’il pose en droit international et en droit de l’OMC, pour terminer par l’évocation de questions touchant davantage aux principes et à l’évolution de la position de l’UE face à la mondialisation. The article then looks at the difficulties that the Regulation may pose in terms of public international law, in particular the law of countermeasures, and WTO law, in particular the exclusivity that the WTO would like to see recognised for its dispute settlement mechanism and the ban on unilateralism that it intends to impose.Finally, we examine a number of issues that relate to the principles and the evolution of the EU’s position on globalisation. The Anti-Coercion Regulation represents a shift towards unilateralism, although its scope should not be exaggerated. It also implies, to a certain extent, abandoning the isolation of economic issues from geopolitical ones. Certain weaknesses are also addressed. The Regulation is based on deterrence, but the text reveals a reluctance to implement it. Nor does it address issues of redistribution, i.e. compensation for victims of coercion and response measures and the contribution of potential beneficiaries of both. Finally, the problem of moral hazard is also at the heart of the Regulation, which must both strengthen European solidarity and prevent that the protection it offers be used to adopt imprudent behaviour.
Le contrôle des données financières à des fins répressives
Authors: Lassalle Maxime
Published: July 2024

Les acteurs financiers contrôlent des quantités importantes de données relatives à leurs clients, et qui sont particulièrement utiles aux autorités publiques en charge de la prévention et de la répression de la criminalité. Ces acteurs privés sont transnationaux et peuvent à ce titre être sollicités par les autorités nationales de divers pays, justement pour divulguer les informations qu’ils collectent. Si ces pratiques n’avaient jusqu’à présent pas fait l’objet d’une attention importante, l’hypothèse de la démondialisation illustre l’intérêt de la question.
Threshold concepts in the teaching of natural sciences: A systematic review
Authors: Solís Pinilla Jaime , Merino Rubilar Cristian
Published: July 2024

A systematic review of Threshold Concepts provides a thorough and structured analysis of the existing literature related to these essential and transforming concepts in education. Threshold Concepts represent ideas or knowledge that, once understood, allow the student to access deeper levels of understanding of a discipline. These concepts are crucial, since they act as “doors” that, once “crossed”, lead to a more integrated and coherent vision of a study area. In the review, various academic databases were consulted to identify relevant studies, applying rigorous inclusion and exclusion criteria. Through this process, key patterns, methodologies, and findings were detected, related to the teaching, understanding and application of these concepts. Despite the broad methodological diversity that exists in the field, as well as educational approaches and contexts, Threshold Concepts are not always addressed successfully at the curricular level or in the implementation of teaching methodologies. The limitations of this review have an impact on possible publishing bias and the diversity of research methods. However, the review stresses the need for greater integration of these concepts in education, as well as future research that explores efficient pedagogical strategies to teach them.
Video-based person re-identification with complementary local and global features using a graph transformer
Authors: Lu Hai , Luo Enbo , Feng Yong , Wang Yifan
Published: July 2024

In recent years, significant progress has been made in video-based person re-identification (Re-ID). The key challenge in video person Re-ID lies in effectively constructing discriminative and robust person feature representations. Methods based on local regions utilize spatial and temporal attention to extract representative local features. However, prior approaches often overlook the correlations between local regions. To leverage relationships among different local regions, we have proposed a novel video person Re-ID representation learning approach based on a graph transformer, which facilitates contextual interactions between relevant region features. Specifically, we construct a local relation graph to model intrinsic relationships between nodes representing local regions. This graph employs the architecture of a transformer for feature propagation, iteratively refining region features and considering information from adjacent nodes to obtain partial feature representations. To learn compact and discriminative representations, we have further proposed a global feature learning branch based on a vision transformer to capture the relationships between different frames in a sequence. Additionally, we designed a dual-branch interaction network based on multi-head fusion attention to integrate frame-level features extracted by both local and global branches. Finally, the concatenated global and local features, after interaction, are used for testing. We evaluated the proposed method on three datasets, namely iLIDS-VID, MARS, and DukeMTMC-VideoReID. Experimental results demonstrate competitive performance, validating the effectiveness of our proposed approach.
The economic situation and ways to solve the environmental problems in the city of Ust-Kut
Authors: Kalikhman Tatyana P.
Published: July 2024

The Ust-Kutsky district and its center, the Ust-Kut city, have become the fastest growing in the Irkutsk region of Russia in the last decade. Ust-Kut is a very important settlement for the economic development of the northern territories of the Irkutsk region and the southern territories of the Republic of Sakha (Yakutia). The city is a key transport hub, where various types of transport routes converge: railway, aviation, automobile, river, and product pipeline. There are deposits of various minerals near Ust-Kut. The timber mining and timber-processing industries are represented here as much as possible. On the other hand, Ust-Kut is one of the ten most air-polluted cities in the Irkutsk region. Most of the air pollution consists of substances formed as a result of fuel combustion. The unfavorable air regime of the city is influenced by climatic conditions: relatively weak winds and temperature inversions in winter. The oil and gas deposits located nearby may help solve the problem of air pollution by gasification of Ust-Kut. In addition, water and soil pollution have been noted in the city due to technological problems of wastewater disposal, garbage collection, and recycling, as well as certain types of industrial waste processing. Therefore, the main task of the sustainable development of the city is to solve its environmental problems. Ust-Kut's environmental problems are solved at the expense of financial resources from government programs, which are not sufficient. But the tax on mining is completely federal, as these funds do not remain in the territory. Through this research, we have searched for ways to achieve a balance between economic development and environmental well-being in Ust-Kut. Specifically, we have explored additional types of economic activities that are safe for nature and public health. For Ust-Kut, located in the north of Eastern Siberia, it is important to increase the area of green spaces within the central part of the city. The development of a system of parks and squares involves their improvement and the formation of a connection into a single natural framework through linear landscaping objects and connections with urban forest sites. The use of sanitary protection zones around enterprises that emit into the environment will contribute to the formation of a comfortable environment and expand landscaping opportunities.
Thinking marine rewilding: adapting a terrestrial notion to the marine realm. Definition, practices and theories of marine rewilding
Authors: Cornerier Ariane
Published: July 2024

While academic research in social science relating to rewilding mainly focuses on terrestrial initiatives, scant attention is given to marine rewilding. During the last ten years, marine rewilding initiatives have increasingly flourished every year around the world. The few articles dealing with marine rewilding emanate from biological and economic domains and address the scientific and economic feasibility of the initiatives. However, research still needs to provide a broad perspective on the implementing conditions of marine rewilding through a typology of the stakeholders, their vision, scientific approaches, management methods, and challenges. This article presents a literature review on marine rewilding initiatives and opens a critical discussion on the challenging conditions of their implementation. Through analysis of academic and grey literature on rewilding concepts and practices, the findings of this article indicate that rewilding was initially conceived for terrestrial areas in the 1990s before expanding to include marine environments in the 2010s. It also highlights that marine rewilding initiatives continue to be influenced by terrestrial and anthropocentric assumptions. These projects do not form a distinct movement but rather a series of isolated experiments where stakeholders interact across multiple scales to exchange knowledge and outcomes. Furthermore, the initiatives blend with traditional nature conservation methods because of scientific constraints and the need to gain social and political approval. Through these processes, marine rewilding initiatives constitute new ecological fronts in which marine areas’ uses and meanings are transformed.
Communities of Practice in the Workplace
Authors: Jimenez Remberto , O'Neill Veronica E.
Published: July 2024

This chapter will focus on reviewing the core elements of communities of practice in the workplace through four case studies that illustrate examples of what can be done to support organizational learning. Any organization, or workplace, has practices, domains of knowledge, and communities of employees. Yet, the role of communities of practice allows these three dimensions to come together and support employee success, learning, and embedding key practices. This chapter will begin with a review of the workplace and workplace learning. The chapter will then focus on what constitutes a community of practice, and additional permutations of the concept, such as landscapes of learning, that support learning. Four case studies in this chapter will focus on communities of practice examples from the medical field, corporate environments, and education. Suggestions for future research will also be discussed.
Exploring COVID-19 Classification and Object Detection Strategies
Authors: Jan Saifullah , Aiman (83a409e8-2ed0-4d4e-a1d5-1ffcc121e8cb  , Khan Bilal , Arshad Muhammad
Published: July 2024

The overlapping imaging characteristics of COVID-19 viral pneumonia and non-COVID-19 viral pneumonia chest X-rays (CXRs) make differentiation difficult for radiologists. Machine learning (ML) has demonstrated promising outcomes in a range of medical sectors, enhancing diagnostic accuracy through its interaction with radiological tests. The potential contribution of ML models in assisting radiologists in discriminating COVID-19 from non-COVID-19 viral pneumonia from CXRs, on the other hand, deserves further examination and exploration. The goal of this study is to empirically assess ML models' capacity to classify X-ray images into COVID-19, pneumonia, and normal cases. The study evaluates the efficacy of K-nearest Neighbor (KNN), random forest (RF), AdaBoost (AB), and neural networks (NN) with various hidden neuron configurations using a wide range of performance measures. These metrics evaluate the area under the curve (AUC), classification accuracy (CA), F1 score (F1), precision, and recall, resulting in a comprehensive evaluation technique. ROC analysis is used to gain a thorough knowledge of the models' discriminating skills. The results show that NN models, particularly those with 100 and 150 hidden neurons, outperform in all criteria, proving their ability to reliably categorize medical disorders. Notably, the study emphasizes the difficulties in separating COVID-19 from pneumonia, emphasizing the importance of strong classification methods. While the study provides useful insights, its drawbacks include the use of a single dataset, the absence of more sophisticated deep learning architectures, and a lack of interpretability analyses. Nonetheless, the study adds to the developing area of medical picture categorization, directing future attempts to improve diagnosis accuracy and widen the use of machine learning in healthcare. The findings highlight the utility of NN models in medical diagnostics and pave the way for future study in this vital area of technology and healthcare.
Quantum Threats, Quantum Solutions
Authors: Patel Hemlata , Surya Anupma , Kilaru Aswini , Helena Raj Vijilius , Dutt Amit , Arockia Dhanraj Joshuva
Published: July 2024

Quantum computing represents a significant milestone in technological progress, offering unprecedented computational capabilities. Nevertheless, this inherent potential also poses a significant risk to the field of cybersecurity. This essay aims to examine the complexities associated with quantum threats and investigate potential strategies for mitigating these risks. Cryptography is a fundamental component of contemporary cybersecurity, serving as a resilient method that guarantees the preservation of data integrity and confidentiality within IT infrastructure. However, the emergence of quantum computing poses a significant challenge to this established paradigm.
Adversarial Challenges in Distributed AI
Authors: Kocherla Raviteja , Dwivedi Yagya Dutta , Reena B. Ardly Melba , C. R. Komala , D. Jennifer , Arockia Dhanraj Joshuva
Published: July 2024

With a special emphasis on distributed AI/ML systems, the abstract explores the intricate world of adversarial challenges in 6G networks. With their unmatched capabilities—like ultra-high data rates and ultra-low latency it highlights the crucial role that 6G networks will play in determining the direction of communication in the future. Still, it also highlights the weaknesses in these networks' distributed AI/ML systems, emphasizing the need for strong security measures to ward off potential attacks. Also covered in the abstract is the variety of adversarial threats that exist, such as model evasion, data poisoning, backdoors, membership inference, and model inversion attacks.
Strategic Insights
Authors: Kapoor Uchit , Shinde Sunita Sunil , Kanwer Budesh , Duggal Sonia , Kansal Lavish , Arockia Dhanraj Joshuva
Published: July 2024

In the age of intelligent connectivity, it is vital to understand how crucial it is to protect these networks as the world prepares for the arrival of 6G networks. Sixth-generation (6G) networks are anticipated to transform a number of sectors, including manufacturing, transportation, and healthcare, by offering previously unheard-of speeds, capacities, and connectivity. These opportunities do, however, come with a number of difficulties, especially in the areas of cybersecurity and data privacy. Understanding the particular threats that 6G networks face is essential to protecting them effectively.
Leadership in the Age of Holographic Connectivity
Authors: Viji Christiana M. Beulah , Madhavi Thaya , Bathrinath S. , Srinivasan Vellayan , Tripathi Mano Ashish , Maheswari B. Uma , Dadheech Pankaj
Published: July 2024

The forthcoming transition to 6G brings with it the promise of holographic connectivity, which has the potential to revolutionize communication in a variety of fields, including marketing, education, medicine, business, and entertainment, among others. Users are able to interact with one another through the use of high-quality 3D representations while overcoming geographical barriers thanks to this technology. On the other hand, in order to successfully navigate this transition, effective leadership is required. This leadership must be able to anticipate technological advancements, encourage innovation, and strike a balance between risks and opportunities within the 6G ecosystem.
Future Directions of Digital Twin Architectures for 6G Communication Networks
Authors: Pandey Binay Kumar , Paramashivan Mukundan Appadurai , Pandey Digvijay , George A. Shaji , Agarwal Ashi , Mahajan Darshan A. , Dadheech Pankaj Dadheech , Pramanik Sabyasachi
Published: July 2024

Initiating the study into digital twin technology, the planning and implementation of the 6G network necessitates real-time interaction and alignment between physical systems and their virtual representation. From simple parts to intricate systems, the digital twin's flexibility and agility improve design and operational procedure efficiency in a predictable manner. It can validate policies, give a virtual representation of a physical entity, or evaluate how a system or entity behaves in a real-time setting. It evaluates the effectiveness and suitability of QoS regulations in 6G communication, in addition to the creation and management of novel services. Physical system maintenance costs and security threats can also be reduced, but doing so requires standardization efforts that open the door to previously unheard-of difficulties with fault tolerance, efficiency, accuracy, and security. The fundamental needs of a digital twin that are focused on 6G communication are covered in this chapter. These include decoupling, scalable intelligent analytics, data management using blockchain.
Teaching Tomorrow's Security
Authors: Dixit Ila , Jegu Anslin , Digal Ashok Kumar , Kumar T. Rajesh , Munjal Neha , Shamini P. Baby
Published: July 2024

The shift from 5G to 6G communication landscapes ushers in a paradigm shift that is characterized by technological advancements that have never been seen before and increased security imperatives. This chapter delves into the complex world of 6G security, shedding light on the myriad of dangers and difficulties that these networks are confronted with. Alongside the implementation of zero trust architecture, it highlights the critical importance of confidentiality, integrity, and availability (also known as the CIA Triad) by conducting an exhaustive investigation of threat actors, security principles, and encryption techniques. In order to strengthen the security of 6G transactions and data, advanced encryption techniques such as post-quantum cryptography and blockchain technology have emerged as essential tools.
Rethinking Entrepreneurship Education (EE) in the Era of Education 5.0
Authors: Mosbah Aissa , Queiri Abdelbaset
Published: July 2024

The educational landscape has been marked with a rapid growth of entrepreneurship education (EE) in the last decades. EE is spanning across different academic disciplines and taught inclusively as a university requirement across many universities/countries. However, while this inclusive approach is associated with many issues, its questionable effectiveness mixed with the challenging requirements of the current education 5.0 (educator wise) are sufficient reasons for scholars to rethink how and for whom entrepreneurship should be taught. In this chapter, the authors discussed and proposed a move to the more pragmatic student “selective approach” of EE after having laid the justification for such move. The chapter contends that teaching EE to every tertiary student is not a viable approach; not only does it drain the existing resources, but it requires additional ones which are beyond the capacity of many schools and universities around the world. Implications are discussed and aimed to assist policy makers and key education players to improve EE effectiveness.
Preparing Teachers and Students for the Challenges of Society 5.0
Authors: Yousefi Midya , Mullick Jahirul , Wang Qiusu
Published: July 2024

In this chapter, the authors investigate the transformative impact of cognitive computing, learning analytics, and game-based pedagogy in enhancing teachers' professional development within the dynamic societal context. Employing a comprehensive review of scholarly literature, explore how these technological advancements shape the educational landscape, paying particular attention to their implications for teachers' professional development. The discussion illustrates that through adopting cognitive computing, educators can access personalized insights and resources tailored to their needs, fostering continuous growth. Learning analytics provide valuable data-driven feedback, enabling educators to make informed decisions to optimize teaching strategies. Furthermore, gamification engages teachers in immersive learning experiences, enhancing motivation and collaboration. This research highlights the potential of innovative technologies in shaping a more responsive and effective educational system.
Multimedia Material for Science and Technology Teaching
Authors: Altundağ Canan Koçak , Elmas Rabia
Published: July 2024

The aim of this study is to develop concept maps enriched with digital technologies to provide multimedia learning in science education. In the study, in which design and development research method was used, 6th and 8th grade students and science and technology teachers were considered as the common user group. In the process of developing concept maps enriched with digital technologies, the steps of applying instructional technology tools design methods and introducing three designs obtained at the end of the process are included. It is expected that concept maps enriched with digital technologies in science education based on multimedia learning applications will support much more meaningful learning by enriching science lessons. With the concept maps enriched with digital technologies developed within the scope of the research, innovative technology applications were tried to be presented to our teachers and students in science and technology teaching.
Assessment and Evaluation in Education 5.0
Authors: Maqsood Maida , Othman Abeer , Ilyas Muhammad , Sabir Rehan Mehmood , Urooj Isma , Zahra Tayyaba , Abdullah Obaid Muhammad , Butt Hafsa Hamid
Published: July 2024

Education 5.0 requires a fundamental change in the way assessments are conducted. To transcend the constraints of standardized examinations, it is essential to employ inventive approaches such as portfolios, projects, and digital badges, which play a vital role in fostering personalized learning and empowering students. The utilization of technology and data-driven methodologies such as big data and AI present exciting opportunities for adaptive learning and enhanced comprehension. Nevertheless, ethical concerns, safeguarding data privacy, and guaranteeing fairness in evaluation persist as significant obstacles. To enhance the abilities of students and bring about educational transformation, it is crucial to prioritize ongoing enhancement, international cooperation, and the use of innovative technologies. These factors are vital in determining the future of assessment and evaluation in Education 5.0.
Ethical Considerations and Educational Constraints in 5.0 Education
Authors: Abu-Bajeh Zaid Yacoub
Published: July 2024

The institutions which working in the educational field, are seeking to create an efficient educational process in proportion to technological changes. The success on the Educational approach, including Education 5.0, depends on the extent to which educational constraints and ethical considerations are taken into account as success requirements in the educational process such as feedback, discussions, and the teachers role, which are effects on the learners' understanding. Therefore, Institutions can work to develop the educational process without compromising educational quality through developing the ICT. So, In light of Education 5.0 endeavors achieving a smart society, and based on Perraton online education theory and other researches results, there is a need to focus on a group of necessary issues to ensure the success of the educational process and determining criteria for selecting appropriate online educational models that will overcome the educational constraints and help to keep up with the pace of acceleration and competition with other educational institutions.
Enhancing Support and Monitoring in Eating Disorders Through AI-Powered Chatbots and Neural Networks
Authors: Suresh Babu C. V. , Simon P. Andrew , Santhosh S. , Shameem Ahamed S. M. , Haran J. Hari
Published: July 2024

In the field of foodtech and food monitoring applications, AI-powered chatbots have become indispensable instruments that improve monitoring and support procedures by fusing neural network (NN) and machine learning (ML) technology. By utilizing natural language processing (NLP) techniques, these chatbots optimize user experiences and operational efficiency by offering tailored suggestions, real-time help, and predictive analysis. Furthermore, chatbots can assess customer attitude and happiness thanks to machine learning (ML)-driven sentiment analysis, and fraud detection systems improve app security for meal delivery services. Chatbots can adjust to shifting consumer tastes and market trends thanks to continuous learning and development processes. Furthermore, user information security and confidentiality are guaranteed by compliance with data privacy laws. This study looks at how AI-powered chatbots might revolutionize the foodtech sector and promote sustainable consumption in the direction of more eco-friendly and productive products.
A Comprehensive Review on the Potential of Some Medicinal Plants for the Treatment of Eating Disorders
Authors: Kumar Nitesh , Devi Ruchika , Pratibha  , Banyal Harinder Singh , Sharma Shivali , Kaundal Monika
Published: July 2024

Eating disorders are illnesses of the mind and body. Anorexia nervosa, bulimia nervosa, binge eating disorder, etc. are examples of eating disorders that affect people of every ethnic background and age, and pose a serious threat to worldwide public health. Several medicinal plants have demonstrated promising therapeutic properties for addressing various aspects of eating disorders. For example, Nigella sativa exhibits anxiolytic and appetite-regulating effects, suggesting its potential utility in treating anorexia nervosa. Additionally, the appetite-suppressing qualities of herbal therapies like Centella asiatica have been studied, making them viable supplementary therapy for people who struggle with excessive consumption of food. Overall, integrating medicinal plants into comprehensive treatment approaches for eating disorders holds promise for improving clinical outcomes and enhancing the holistic well-being of affected individuals.
Tiny Tech, Big Impact
Authors: Gul Kanwal , Panicker Sunita , Morande Swapnil , Tewari Veena
Published: July 2024

Eating disorders and food waste present urgent public health and environmental crises requiring innovative solutions. Advances in artificial intelligence (AI) and mobile technology enable new interventions to promote healthy, sustainable eating habits. This research conceptualizes an AI system delivered via smartphone to monitor individuals' food contexts and deliver real-time nudges during preparation and consumption. Qualitative methodology through interviews and focus groups will refine nudge timing, content, and delivery for optimal impact based on user experiences. While human behavior remains complex, this research explores AI's potential to scale personalized interventions targeting problematic habits. Even minor improvements nudged at the individual level could have multiplicative benefits for population health and sustainability. Next steps include evaluating nudging effectiveness and addressing technical challenges like privacy and sustained engagement. Transdisciplinary collaboration is critical to develop ethical, human-centered AI systems for positive social change.
Predicting Demand in Supply Chain Networks With Quantum Machine Learning Approach
Authors: Sehrawat Sunil Kumar , Dutta Pushan Kumar , Bhatia Ashima Bhatnagar , Whig Pawan
Published: July 2024

This chapter explores the application of quantum machine learning (QML) techniques for demand prediction in supply chain networks. Traditional demand forecasting methods often struggle to capture the intricate dynamics and uncertainties present in modern supply chains. By leveraging the computational power and probabilistic nature of quantum computing, coupled with the flexibility and adaptability of machine learning algorithms, organizations can enhance the accuracy and efficiency of their demand prediction processes. This chapter provides an overview of QML methodologies tailored specifically for demand prediction in supply chain networks, highlighting their advantages over classical approaches. Through case studies and practical examples, the chapter demonstrates how QML can enable organizations to make more informed decisions, optimize inventory levels, and improve overall supply chain performance.
Exploring Quantum Cognition
Authors: Kumar Sagar , Sharma Monika , Bhati Kumkum , Saini Arun Kumar
Published: July 2024

Quantum cognition, a growing topic at the interface of quantum physics and cognitive research, provides a new viewpoint on the intricacies of human thought processes. In contrast to classic Boolean algebraic models, which have long dominated cognitive psychology, quantum cognition proposes a new framework influenced by quantum mechanics' algebraic structure. This deviation derives from the understanding that natural notions, based on prototypes, are more closely related to convex sets than to the rigid rules of Boolean algebra. Drawing on the fundamental work of luminaries such as John von Neumann, quantum cognition reveals a unique probability theory based on ortho-algebras, challenging traditional probabilistic reasoning based on Boolean algebras. This change opens up solutions to complex challenges in rationality, logical thinking, and probabilistic reasoning, ushering in a new era of cognitive modelling. Several arguments in the literature support the importance of quantum cognition in explaining cognitive phenomena.
Navigating the Complexities of Agile Transformations in Large Organizations
Authors: Dutta Pushan Kumar , Bhardwaj Arvind Kumar , Mahida Ankur
Published: July 2024

As agile methodologies continue to gain traction in the business world, organizations of all sizes are embracing these principles to enhance efficiency, responsiveness, and innovation. However, scaling agile practices to large, complex organizations presents unique challenges that necessitate adaptations to maintain the core values of flexibility, collaboration, and iterative development. This chapter delves into the intricacies of scaling agile methodologies within large enterprises. It traces the evolution of agile from small-scale projects to its current applications in multinational corporations, highlighting the scaling challenges faced by industry giants like ABB, DaimlerChrysler, Motorola, and Nokia. Particular attention is given to frameworks specifically designed for large-scale agile implementations, such as the scaled agile framework (SAFe), large-scale scrum (LeSS), and disciplined agile delivery (DAD). These frameworks are examined for their approaches to handling massive agile projects.
Enhancing Healthcare Decision Support Systems With Advanced Analytics and Machine Learning Techniques
Authors: R. Renugadevi , Ranjith Kumar P. , G. Kalaiarasi , Raj A. Arul Edwin , Settu Sivabalan , R. Ruthravarshini
Published: July 2024

This chapter outlines the need for intelligent decision support, growing complexity of healthcare systems, key concepts of advanced analytics, and elucidating techniques such as data preprocessing and feature engineering. The survey extends to address challenges and opportunities within the realm of healthcare analytics, offering insights into ethical considerations, privacy concerns, and regulatory implications. Real-world case studies serve to illuminate successful implementations and extract valuable lessons, fostering a deeper understanding of practical applications. This chapter explores the integration of analytics with electronic health records (EHR), examining strategies to enhance decision support through the utilization of comprehensive healthcare data. The chapter, by distilling pertinent information from myriad sources, aims to provide a valuable resource for researchers, practitioners, and policymakers navigating the dynamic intersection of advanced analytics, machine learning, and healthcare decision support systems.
Cyber Threats and Vulnerabilities in Connected Medical Devices
Authors: V. Manjula , Chillara V. L. N. S. Pavana Vamsi , Rama Chandra Rao Thota Phani , Sai Venkata Aakash Varma Nadimpalli , V. S. Vulapalli Pruthivi Raj , R. Thalapathi Rajasekaran
Published: July 2024

According to recent reports, the global connected medical device market is expected to grow by 22% and reach $181.9 billion by 2030. The increasing use of networks to connect medical devices has improved healthcare capabilities, but it has also introduced significant cyber security vulnerabilities. Personal medical devices play a crucial role in monitoring and treating heart disease, diabetes, chronic pain, hearing loss, and sleep apnea. However, the vulnerabilities pose a growing threat to patient life safety, data confidentiality, and the integrity and availability of critical medical information. Therefore, it is important to take necessary measures to ensure the safety and security of medical devices and the critical patient data they carry.