bluuebunny/crossref_metadata_2025 huggingface dataset:
Marine microfossils: Tiny archives of ocean changes through deep time
Authors: Sremac Jasenka , Bošnjak Marija , Firi Karmen Fio , Šimičević Ana , Aščić Šimun
Published: August 2024

Microorganisms have inhabited the oceans since the dawn of Earth. Some of them have organic walls and some produce mineral tests that are usually composed of carbonate minerals or silica. They can therefore be preserved with original parts during sedimentary deposition or fossilized through permineralization or carbonization processes. The most common marine fossil groups studied by micropaleontologists are cyanobacteria, coccolithophores, dinoflagellates, diatoms, silicoflagellates, radiolarians, foraminifers, red and green algae, ostracods, and pteropods. Dormant or reproductive cysts can also be used for determinations of the fossil microbiota. Microfossils can be studied in petrographic slides prepared from rocks or separated from loosely consolidated rocks by disaggregation or dissolution and wet sieving. Their presence is sometimes recognized by biomarkers. Transmitted light microscopy and reflected light stereomicroscopy are necessary for micropaleontological studies whereas scanning electronic microscopy (SEM) aids research on the tiniest fossils and reveals fine skeletal details. Microorganisms have influenced the oxygenation of water and the atmosphere, as well as Earth's carbon cycle and have contributed to the formation of sedimentary rocks. By studying microfossils, paleontologists depict the age of the rock and identify depositional environments. Such studies help us recognize periods of stress in Earth's history and understand their influence on living organisms. Biogenic rocks, made of microfossils, can be used as raw materials, such as fossil fuels, building stone, or additives for the food industry, agricultural, or cosmetic purposes.
Circular Economy in Agriculture
Authors: Jain Nikansha , Virk Sukhmani
Published: August 2024

In the prevailing global landscape marked by resource scarcity, environmental degradation, the pervasive effects of global climate change, and a growing demand for food, the circular economy (CE) emerges as a pivotal economic paradigm for fostering sustainable, restorative, and regenerative agricultural practices. Consequently, the application of CE principles to agriculture aims to streamline the lifecycle of products, services, waste, water, and energy, thereby optimizing resource utilization and mitigating ecological footprints. An initial exploration of existing literature affirms the notion that the integration of the CE framework into agriculture remains incompletely realized. This integration paves the way for the advancement of circular economy principles in agriculture. Embracing the circular economy represents a pathway towards achieving a harmonious balance between economic growth and environmental preservation.
Financial Literacy Among Women Agrientrepreneurs
Authors: K. N. Vaiappuri Selvakkumar , Zakaria Sitie Habibah Hanie , Ali Muhammad Sallehudin
Published: August 2024

This chapter seeks to provide a comprehensive understanding of financial literacy among women agri-entrepreneurs. It will delve into various dimensions, emphasising its significance in the realm of agriculture. Additionally, the chapter will explore effective strategies to equip these women with the essential information and resources necessary for achieving financial prosperity. By addressing the specific financial challenges faced by women in agribusiness, the aim is to foster empowerment and contribute to societal progress through enhanced financial knowledge and decision-making capabilities.
Allocative Efficiency in Fish Production in Oil and Non-Oil Producing Areas of South Nigeria
Authors: Nyong Eteyen
Published: August 2024

The chpater examined the efficiency of resource utilization in fish production in oil and non-oil producing areas of South-South, Nigeria, using a production function approach. Data for the study were obtained from a cross section of 90 respondents each from both oil and non-oil producing areas using a multi-stage sampling procedure. Regression results indicated that laboure, fixed costs and fuel were not significant (P < 0.05) determinants of output in oil producing areas. The index of resource-use efficiency revealed that respondents from oil producing areas were not only inefficient in the allocation of productive resources, but grossly over-utilized, fuel, oil, labour, and fixed costs with an allocative efficiency index of 0.0061, 0.00032, 0.00780, and 0.00674, respectively. However, respondents from non-oil producing areas were inefficient in the allocative of productive resources, and also under-utilized fixed costs, fuel, and labour with an allocative efficiency index of 3.0160, 1.67, and 3.134, respectively.
The Use of Technology by Women in Agriculture Including Mobile Apps, Precision Farming, and Agritech
Authors: Hamisu Kabiru , Auwalu Sulaiman Yaro , Lawan Abdulnasir Isah , Mohammed Hafsat Sanusi , Sriker G. Reddy
Published: August 2024

The research was conducted to analyze the use of technology by women in agriculture including mobile apps, precision farming, and agritech in Telangana state, India. A multi-stage sampling procedure was adopted to select the farmers for the study. Primary data were collected through a semi-structured questionnaire. A total of one 135 were interviewed. The data collected were analyzed using descriptive statistics and regression models. The result revealed that coefficients of age, level of education, and years of experience were found to be statistically significant in influencing the adoption of precision farming technologies. The major problem plaguing the women farmers in adopting new technology was illiteracy about 31.9%. In comparison, the solutions suggested to be adopted by the women farmers to the problems they faced in adopting new technology were awareness and affordable technologies with 28.1% and 23%, respectively.
Data-Directed Marketing's Function in Building Durable Relationships With Customers
Authors: Waghmare Ganesh , Gondane Vijaya Amitesh , Todmal Ashok Dattatraya , Sharma Jitender Kumar , Kopare Anand , Pramanik Sabyasachi
Published: August 2024

In order to better understand the market and make well-informed decisions, data-driven marketing, or DDM, is a marketing strategy that uses artificial intelligence (AI) technology to gather and analyze vast volumes of data. This makes it possible for the business to provide clients with a tailored customer experience and react to their unique demands more efficiently. In order to establish a privileged, long-lasting connection between the consumer and the brand, MDD is also engaged in the implementation of data-driven loyalty plans. Customers respond to these tactics by exhibiting traits that help maintain this connection, such as considerate loyalty, a willingness to advocate for the brand, and a willingness to work with it in the long run. By doing this, the brand satisfies the increasing demands of the competition and accomplishes its goals of development, sustainability, and profitability.
Innovative Approaches Integrating AR and VR Into Marketing Campaigns
Authors: Ahmad Munir
Published: August 2024

This chapter explores the significance of augmented reality (AR) and virtual reality (VR) in marketing campaigns, highlighting their benefits in enhancing customer engagement, brand experiences, awareness, and insights. Marketers must stay updated with the latest trends to leverage AR and VR effectively, adapting to changing consumer behaviors and capitalizing on new opportunities. The future of AR and VR in marketing appears promising, with ongoing technological advancements and increasing consumer adoption. Brands embracing these technologies early, prioritizing user experience, and innovating strategies stand to gain a competitive edge, driving brand success and fostering lasting connections with their audience.
The Influence of Personalization on Consumer Satisfaction
Authors: Casaca Joaquim A. , Miguel Luís Pedro
Published: August 2024

In today's digital age, where consumers are inundated with a barrage of information and choices, the ability to tailor marketing efforts to individual preferences has become a powerful tool. This study aims to understand how personalization can influence consumer satisfaction. To achieve this goal, the authors carried out a systematic review of the literature, based on 79 articles published in the WoS™ database between 2014 and 2023. The R-Tool “Biblioshiny for Bibliometrix” was used to perform a comprehensive bibliometrics analysis, based on evaluative and relational bibliometrics techniques, which allow them to analyze the knowledge structure in terms of three different structures: conceptual, intellectual, and social. They concluded that personalization has emerged as a cornerstone of modern marketing strategies, reshaping the way businesses connect with their customers. The impact of personalization on customer satisfaction is profound, leading to enhanced customer experiences, increased engagement, improved customer retention, and the building of trust and credibility.
Strategic Management of AI-Enhanced Alzheimer's Disease Prediction Models
Authors: Devi Brindha , Thaiyalnayaki M. , Vasantha S.
Published: August 2024

This chapter examines the strategic management of AI-more desirable Alzheimer's disease prediction models. As AI generation keeps boosting, there's a growing use of AI in healthcare, in particular inside the early detection and prediction of Alzheimer's ailment. But those raise important ethical and regulatory worries as those fashions have the potential to affect patient care and lift questions about facts privateness and knowledgeable consent. This chapter explores the current kingdom of AI-advanced Alzheimer's disease prediction fashions, their capability benefits and dangers, and the moral and regulatory challenges they pose. It also gives tips for strategic control in this swiftly evolving panorama, including the want for obvious and moral practices, collaboration among stakeholders, and proactive engagement with regulatory bodies. With the aid of addressing these problems, we're able to make sure that AI-advanced Alzheimer's disorder prediction models are effectively included into healthcare even as upholding moral and regulatory standards.
Exploring the Role of Natural Learning Processing in Alzheimer's Disease Research and Prediction
Authors: Ali Yusra Ashfaque , Pathak Prathum , Dogra Nitu , Potshangbam Angamba Meetei , Tuteja Shikha , Katare Deepshikha Pande , Bhattacharjee Snigdha Debashis , Hussain Muhammad Ashraf , Mani Ruchi Jakhmola
Published: August 2024

Alzheimer's disease (AD) is a neurodegenerative disorder causing memory loss, cognitive decline, and behavioral changes, affecting over 35 million globally. Early detection is crucial but challenging due to subtle symptoms, lack of biomarkers, stigma, and symptom variability. Early diagnosis enables symptom management, access to treatments slowing progression, enhancing cognition, and improving quality of life. It facilitates planning for safety and reduces caregiver burden through access to support services. Moreover, it increases understanding of the disease for informed decision-making. Early detection benefits healthcare systems by optimizing resource allocation and improving patient outcomes. Overall, early identification is vital for enhancing Alzheimer's care and quality of life for patients and families. Finding equilibrium between exploiting NLP power in predicting Alzheimer's and handling sensitive textual data responsibly is one of the important topics dealt with in this chapter.
Synchronizing Senses
Authors: Kamal Roop , Malhan Shivani
Published: August 2024

Neuromarketing seeks to utilize brain imaging to comprehend the neuronal connections and cognitive processes that play a role in customers' decision-making. This study aims to offer thorough examination of neuromarketing, including present utilization of neuroimaging physiological tools in the marketing mix. Additionally, it seeks to emphasize the neurological responses of consumer behavior that should be taken into account in the marketing mix. This study aims to examine the impact of recent neuromarketing techniques on marketing mix strategies. Managers can leverage these techniques to develop effective marketing strategies for specific target groups in various areas, including consumer buying behavior, pricing, advertising, the chapter explores potential use of neurological approaches in marketing management. The findings demonstrate the role of neuroscience in informing traditional marketing mix strategies and highlight the benefits of incorporating neuroscience in brand management.
A Decade and a Half of Deepfake Research
Authors: Bisht Vartika , Taneja Sanjay
Published: August 2024

The present study aims at conducting a bibliometric analysis on deep fake technology using the Scopus database. The time period taken into consideration is fifteen years (2011-2024), wherein 217 manuscripts have been extracted from the database. VOSViewer and R-programming served the purpose of visual presentation. The findings revealed that India has the highest number of publications in relation to deep fake technology. Also, it is inferred that there is an ongoing upward trajectory in the trend of publications, indicating the continuous emergence and growth of the concept. Co-occurrence analysis, citation analysis and thematic mapping have also been employed. The comprehensive bibliometric analysis provides valuable insights into collaboration patterns, key contributors, and the evolving discourse, offering a foundation for informed decision-making and further research in the realm of deep fake technology and its impact on professional spheres. The usage of only one database is a major limitation.
Combatting Deepfake Threats in India
Authors: Shukla Rishi Prakash , Taneja Sanjay , Saluja Shefali , Jain Ravi Kumar , Shukla Priya
Published: August 2024

This chapter explores India's response to the rising threat of deepfake manipulation through a data-driven approach. From the vibrant streets of Mumbai to the corridors of power, the authors delve into the pervasive impact of deepfake threats across diverse sectors. Through real-world case studies, the authors illustrate the challenges and opportunities presented by deepfake technology. They highlight the latest advancements in detection methods, emphasizing the importance of collaboration and interdisciplinary cooperation. This conceptual model outlines a comprehensive framework for combatting deepfake threats in India, integrating technological, policy, and societal dimensions. By embracing this holistic approach, India can navigate the path forward towards a future where truth and authenticity prevail in the digital age.
Exploring the Depth
Authors: Kaur Jaspreet , Sharma Kapil , Singh M. P.
Published: August 2024

While new technologies might make many things easier, they also pose risks if not handled correctly. A prime instance of this type of technology is deepfake, a notable development in recent times. Using AI, deepfake technology can create convincingly realistic multimedia (videos, photos, etc.) that mimics human behaviour. The present research looks at the growing threat that deepfake poses to individuals' safety and privacy. With the rise of deepfake technology, powered by AI, it is becoming increasingly difficult to differentiate between real and altered media, which puts individual identities and information security at risk. This research highlights the necessity for new regulations in the future and questions the efficacy of existing legal systems.
Facades and Fortunes
Authors: Sharma Rajat , Sharma Manu , Singh Malkeet , Bhatnagar Mukul
Published: August 2024

This research has explored the complex dynamics between intellectual capital and firm performance within the emergence of deepfake technology. It also shows that knowledge management plays a central role in enabling firms to build organizational resilience and adapt to the threats and opportunities arising from deepfake technology. This research is important because it explores how intellectual capital can drive firm performance and resilience in an era increasingly influenced by disruptive deepfake technology. For measuring the relationship between variables, a questionnaire was framed after expert opinion. The questionnaire was circulated randomly to residents of Delhi through a Google form. With the help of SPSS software, regression analysis was applied to 116 responses received.
Technologically Innovative Approaches for Understanding Organizational Commitment and Worker Performance in the Textile Industry
Authors: Bindu Bindu , Kaur Hardeep
Published: August 2024

Recent technological innovations have fostered businesses by pushing the performance of the workers and building a culture of organisational commitment. Presently, businesses are operating in times of deep fakes, artificial intelligence, and blockchain. The present research is conducted to measure the impact of organizational commitment and technologically innovative approaches on worker performance in the textile industry. The textile industry is very relevant for India as it serves as a major contribution towards the growth and development of the country. Moreover, the variables of organizational commitment and technologically innovative approaches are very relevant in every industry. Achieving the optimum level of worker performance has been the dream of every businessman and present research attempts to test the variables responsible for worker performance. According to the research, the involvement of workplace startup technology involves the organizational commitment to increase the effectiveness of work.
Approaching Deepfake Detection Models
Authors: Reepu  , Saini Neha , Kumar Pawan , Singh Kanwar Ajay , Chahal Bhupinder Pal Singh
Published: August 2024

The combination of AI and cloud computing has led to the development of advanced techniques for manipulating audio, video, and images. Unfortunately, this has also resulted in a rise in deepfakes - manipulated media that can be incredibly convincing and difficult to detect. Thankfully, there are several countermeasures available to help combat this issue. One such measure is media confirmation, which involves verifying the authenticity of the media through various means such as metadata analysis or source verification. Another approach is media provenance, which focuses on tracing the origin of the media to determine if it has been manipulated. Finally, deepfake discovery utilizes multi-modal detection techniques that combine manual and algorithmic methods to identify manipulated media. The ultimate goal of this chapter is to automate the detection of deepfake videos using these advanced models in real-world scenarios. By doing so, we can help protect against the damaging effects that deepfakes can have on individuals and society as a whole.
Evaluation of Tourism Infrastructure Around the Ancient Marvels of Mahabalipuram and Pattadakal
Authors: Kumar Sreshtaa S. , John Suja
Published: August 2024

India is rich in culture and well-known for its mythological knowledge. It has plenty of architectural marvels recognized by UNESCO and maintained by the Archaeological Survey of India (ASI). For this chapter, two of the cultural UNESCO sites, Mahabalipuram and Pattadakal, have been taken as the scope of the chapter. The introduction section talks about the history of the monuments and provides a brief overview of the tourism infrastructure. The following section, evaluation of tourism infrastructure, aims to analyze Mahabalipuram and Pattadakal's tourism infrastructure using four parameters: transportation and connectivity, accommodation, gastronomical facilities, and tourist amenities. An observational study of the sites was conducted between December 2023 and January 2024. This is followed by the recommendations provided by the authors to improve the tourism infrastructure in these sites and, finally, the chapter's conclusion and future scope for researchers.
Dive Into the Wreck of Peristera, Greece
Authors: Kiachidou Erietta S. , Papadopoulou Georgia C.
Published: August 2024

The nexus of the soft tourism development model must serve the concepts of sustainability, resilience, and participation of the destination community. The chapter explores the case study of a diving tourism destination and how it responds to challenges for tourism development and environmental management, promoting natural resources conservation, cultural heritage, and inclusive community well-being. It provides the structural framework of the synergies that realize and the prospects that offered to realize a unique proposal, an expanded tourism product that increases the beneficial impact of tourism both locally and nationally.
A Bibliometric Examination of Online Hotel Booking via OTA an AI and Tech-Driven Travel Solutions
Authors: Singh Jagjit , Sharma Shikha
Published: August 2024

Electronic commerce has changed travel product distribution and buyer behavior. Internet usage drives the online travel market's fast development and commercial potential. Online travel booking operators now account for many global travel sales. It is feasible to do this as a result of the fast development of high-speed internet and smart phones, both of which are readily available to any person in today's world.
Generative AI
Authors: Jadhav Babasaheb , Kilkarni Ashish , Kulkarni Pooja , Gupta Shashi Kant
Published: August 2024

This chapter explores how generative AI achieves content personalization, its implications for user engagement and satisfaction, and the potential challenges and ethical considerations associated with its widespread adoption. The purpose is to examine the role of generative artificial intelligence (AI) in facilitating content personalization within the Metaverse by exploring how Generative AI shapes user experiences. To do this, the chapter evaluates the strengths and weaknesses of quantum computing and blockchain technologies. It creates hypothetical scenarios illustrating the potential impact of the synergy between quantum computing and blockchain on various industries and societies. The transformative outcomes resulting from the integration of generative AI in content personalization within the metaverse. By understanding the mechanisms and implications of generative AI in adapting content to individual preferences and behaviors, readers will gain insights into how personalized experiences enhance user engagement and satisfaction in virtual environments.
The Importance of Collaboration Between Human Intelligence and GenAI in Digitalization of Education
Authors: Al Yakin Ahmad M. , Rasyid A. Ramli , Massyat Muhammad , Muthmainnah Muthmainnah , Aquino Anania B. , Noche Thessa H. , Cardoso Luis
Published: August 2024

The rapid progress of artificial intelligence (AI) has triggered debate about its influence on human intelligence. Artificial intelligence has the capacity to increase human talent in the metaverse, virtual domains that emerge. The potential of AI to function as a learning aid that is adjusted in the metaverse adapts the school to suit individual needs. However, the investigation of the social consequences of the convergence of this technology and concerns about justice and availability are still rare. The metaverse education that AI moved has the potential to increase the differences that already exist in education. In addition, the quality of the metaverse includes all concerns about social exile and the possibility of aligning virtual meetings with real social involvement caused by human behaviour that has excessive dependence on technology to build social connections. This chapter explores the application of creative artificial intelligence in the context of higher education. This study consists of a sample of 79 students. Bachelor students involved in test lessons using laptops, where AI is generative, especially ChatGPT4, is used to produce and modify content, text, data, materials, and tasks. The findings show that ChatGPT4, a type of generative AI, may be used to adjust educational content to meet the knowledge and learning abilities of students with various levels of expertise. Generative material modified by AI was found to be enjoyed by undergraduate students. The use of generative AI in higher education has a big promise because it can promote learning and the development of skills that are motivated by students. Research findings show that the integration of human intelligence, artificial intelligence (AI), and the metaverse presents significant opportunities. Although there are concerns, it is undeniable that AI has the potential to increase human capacity and have transformative impacts on education. Responsible development and application of this technology are needed to guarantee its ability to improve the human experience. Additional investigations are needed to check for and reduce the possibility of social hazards while optimising the benefits of this revolutionary environment.
Artificial Intelligence and Internet of Things With Metaverse
Authors: Kanade Tarun Madan , Batule Radhakrishna Bhaskar
Published: August 2024

This chapter explores the convergence of artificial intelligence (AI), the internet of things (IoT), and the metaverse, highlighting their combined potential to transform digital and physical experiences. AI encompasses technologies such as machine learning, natural language processing, and computer vision, which enable intelligent decision-making and interaction. IoT involves interconnected devices that collect and share data, facilitating automation and real-time insights. The metaverse represents immersive virtual environments augmented by AR, VR, and digital avatars. The integration of AI and IoT within the Metaverse enhances user experiences through personalization and intelligent interactions. Smart environments, driven by IoT data and AI analytics, create responsive and interactive spaces that seamlessly blend physical and virtual realms. Advanced simulations in training, education, and industrial applications leverage real-time data for realistic and effective experiences.
Pedagogy and AI in Education
Authors: Saifi Abdel Ghani
Published: August 2024

This chapter highlights the growing importance of artificial intelligence in education, showcasing its potential to enhance teaching and learning methods. This chapter explores how artificial intelligence can offer personalized learning resources, facilitate collaborative learning, and improve the quality of education. Additionally, it discusses the application of artificial intelligence in cooperative learning, identifies challenges, and emphasizes considerations for its effective use in education.
Beyond the Classroom
Authors: Ochoa-Tataje Freddy , Alanya-Beltran Joel , Ruiz-Salazar Jenny , Velarde-Vela Luis , Perez-Peralta Eladia , La-Chira-Loli Monica
Published: August 2024

Technology has advanced so quickly that it has had a significant impact on all facets of our lives, including education. Technology has changed how we learn, teach, and engage with educational materials over the years. Innovations in computing, communication, and information technologies have caused a dramatic shift in the educational landscape, moving away from traditional chalkboards and toward digital classrooms. The democratization of education in the last few decades has been brought about by the widespread use of mobile devices, the internet, and digital platforms. This has eliminated regional barriers and increased access to education for people all over the world. With their flexibility, scalability, and ability to provide individualized learning experiences, digital libraries and interactive educational apps have established themselves as essential elements of contemporary education.
Educational Imperatives
Authors: Rekha V. , Indumathi N. , Nair Krupa B. , Rajmohan R. , Gupta Amara S. A. L. G. Gopala , Gupta Sandeep
Published: August 2024

The impending arrival of 6G networks and the anticipated impact they will have on a variety of industries are the topics that are investigated in this chapter. The chapter also highlights the critical importance of cybersecurity in this newly evolving landscape. With a particular emphasis on the role that educational institutions play, the study emphasizes how important it is to provide students with the knowledge and abilities they need to effectively address the challenges that are associated with 6G security. This chapter highlights the necessity of curriculum adaptation in order to accommodate the ever-changing threat landscape.
Blockchain Commerce
Authors: Tiwari Shiv Kant , Manjula S. , Nasir Sibghatullah , Chokkanathan K. , Meenakshi S. , Kalra Gourav , Thakar Chetan M.
Published: August 2024

Blockchain commerce and the start of 6G networks together mark the start of a new era of technological progress and safe online transactions. This chapter looks at the world of safe transactions by first looking at the basics of blockchain commerce and how important decentralization and cryptographic integrity are. Real-life examples show how useful and flexible blockchain technology is in today's business world. Moving on to the start of 6G networks, this chapter looks at the promise and potential of 6G beyond just connectivity, focusing on how it will change digital transactions. Sixth-generation networks change the way transactions work and create new ways to make digital transactions safe.
Intelligent Healthcare in 6G
Authors: Badashah Syed Jahangir , Asokkumar S. , Balasubramaniam D. , Saravanakumar R. , Karthik K. , Manikandan R. , Babu S. B. G. Tilak
Published: August 2024

In the era of 6G technology, intelligent healthcare represents a paradigm shift in the delivery of healthcare. It is distinguished by unprecedented connectivity, data accessibility, and technological advancements throughout the industry. Through the use of real-time data exchange, advanced analytics, and remote monitoring, this chapter examines the definition of intelligent healthcare in 6G as well as its scope. The chapter also highlights the potential of this technology to revolutionize patient care. This chapter, however, delves into the critical importance of addressing security and privacy concerns that are inherent in this evolving landscape, alongside the promises that it makes.
A Recent Survey on 6G Vehicular Technology
Authors: Pandey Binay Kumar , Paramashivan Mukundan Appadurai , Pandey Digvijay , George A.Shaji , Agarwal Ashi , Dadheech Pankaj , Mahajan Darshan A.
Published: August 2024

Most cars of the future might be intelligent and self-driving. 6G will be the main technology used in automobiles. An overview of 6G-enabling technologies is presented in this current study and their future application. The primary role that 6G will play in automotive technology is to accomplish this. Furthermore, a new technology called 6G wireless connection is on the rise and has the potential to completely transform automotive technology. It is anticipated that more items will be connected in the future via the new 6G technology. Therefore, it must outperform more contemporary, cutting-edge communication technologies like 5G in terms of performance. Heterogeneous object connectivity, ultra-low latency, high throughput, low power consumption, and high data reliability are the main characteristics of 6G technology. Additionally, it will use artificial intelligence to facilitate secure and intelligent communication.
Applying Positive Psychology in School Settings
Authors: Michael Katerina , Reppa Glykeria , Ioannidou Louiza
Published: August 2024

This chapter explores the effectiveness and challenges of implementing positive education programs in school settings. It provides an overview of positive psychology, defines well-being, and examines the intersection of positive psychology principles with educational contexts. The chapter also presents various interventions derived from positive psychology used in schools, reviews empirical findings on their efficacy, and addresses implementation challenges. Finally, it offers insights into potential future directions and areas of focus within positive psychology in school settings.
The Impact of Inclusive School Climate on Children and Teachers' Well-Being
Authors: Tasiouli Dimitra , Lyra Olga
Published: August 2024

This chapter highlights the importance of fostering an inclusive school environment that supports the psycho-emotional well-being of all community members. Increasing awareness among researchers, practitioners, and policymakers underscores the pivotal role of the school experience in promoting mental health for both students and teachers. “School climate” refers to the psychological, social, and physical atmosphere within a school, influencing academic performance, behavior, and well-being. It includes relationships, perceptions of safety, support, control, and shared values. A positive school climate fosters productive learning conditions and engagement, leading to desirable academic and mental health outcomes. Inclusive educational practices ensure all students, regardless of background, have access to quality education and feel supported. This chapter emphasizes the need for schools to adopt inclusive climates, to promote the well-being of students and teachers, addressing interconnected goals of health and education for all.
Exploring Constructive Play
Authors: Drakopoulou Olga , Kampeza Maria
Published: August 2024

Constructive play is a crucial aspect of kindergarten activities, influencing the pedagogy of preschoolers, and has been extensively studied in educational research. However, studies focusing on the relationship between constructive play and the interactions that develop during it are limited. The aim of this systematic review was to investigate the characteristics of interactions during constructive play in kindergarten and their impact on preschoolers' development. The method of this study was a systematic review of the current literature over the past 14 years. A literature search was conducted on Google Scholar, ERIC, Scopus, Elsevier, and PubMed from December 2023 to March 2024, resulting in 18,200 studies (N=18,200). The results indicate that through constructive play, children develop cognitive and thinking skills. The review highlights that constructive play serves as a conduit for initiating learning processes, facilitating language development, aiding in knowledge acquisition, and cultivating essential interactive problem-solving and conflict-resolution skills.
Practical experience of allergy to egg proteins clinical manifestation
Authors: Lisiecka Maria Zofia
Published: August 2024

Food allergy occupies a significant place among disorders that impair the quality of patients’ lives, bringing a large number of restrictions to their diet and lifestyle. Therefore, the purpose of this study is to examine the clinical features of allergy to chicken eggs with the determination of key trends in diagnosis and treatment. A descriptive and comparative analysis of three cases was carried out with a large-scale assessment of specific Immunoglobulins E (IgE), determined by the enzyme-linked immunosorbent assay. It becomes clear, that due to the high prevalence of allergy to white and yolk of chicken eggs in the general population (among the Polish population including), chicken eggs have severe allergenic characteristics and may display various symptoms that may be problematic to differentiate. The patients from the presented cases were characterized by a severe course of the disease – minimal consumption of chicken eggs led to the development of urticaria, swelling of the eyelids, and bronchospasm, which required urgent administration of adrenaline and hospitalization. For the purpose of diagnosis, patients with anaphylactic reactions are highly restricted, because methods of skin prick testing, and provocation tests (oral and nasal) are contraindicated. In this regard, molecular diagnostics and the determination of specific immunoglobulins E for ovalbumin, ovomucoid, and other glycoproteins are recommended. This research can lead to the creation of purified recombinant allergens for use in the process of diagnosis and treatment, as well as in the food industry, also, it emphasizes the introduction of preventive measures for the development of anaphylaxis.
Application of Neural Networks for Real-Time Decision Support in Virtual Approval of Brake Components
Authors: Marcon Lucas , Vieceli Alexandre , Corso Leandro
Published: August 2024

This study aims to present a virtual numerical validation procedure for durability in brake system components, using artificial neural networks and based on experimental bench tests. The study focus was concentrated on the drum brake spider component, responsible for mechanically connecting the brake system subassemblies. To develop the validation procedure, engineering software such as ABAQUS, Fe-Safe, Minitab, and MATLAB was used. These were crucial for carrying out stress analyses, statistical data validation, and construction of an Artificial Neural Network (ANN) capable of predicting finite element responses, fatigue life, and supporting real-time decision-making for structural validation of mechanical components. The results obtained from these tools allowed the calibration of a numerical virtual model using the Finite Element Method (FEM) based on mechanical theories and results obtained in bench tests with the brake system, thus, a finite element database was generated for the application of the ANN, containing 130 data from a total of 4,800 possible combinations. The training, validation, and testing of the ANN were determined using a performance analysis algorithm. Finally, the results obtained with the artificial neural network were compared with the results of finite elements and computational fatigue life. The efficiency of the real-time response prediction method was measured using the Mean Squared Error (MSE). With the use of ANN, it was possible to obtain an average error of 0.85% for predicting maximum principal stress and an error of 10.33% for predicting fatigue life. For the classification of fatigue life results, the ANN presented an accuracy of 100%, enabling decision-making in real-time.
Assets Maintenance Strategy Based on Operational Data Analysis
Authors: de Moraes Seixas Ricardo
Published: August 2024

Within the heavy commercial vehicle sector, fleet availability stands as a crucial factor impacting the productivity and competitiveness of companies. Despite this, the core element of maintenance strategies applied in the sector still relies solely on mileage or component usage time. On the other hand, the evolution of the industry, particularly the advancement of Industry 4.0 enabling technologies such as sensorization embedded in components, now provides a vast amount of operational data. The severity levels of application, driving style influence, and vehicle operating conditions can be indicated through the treatment of these data. However, there is still little practical application of using this data for effective decision-making regarding maintenance strategy in the sector, correlating the severity level with component failure possibility. Seeking a disruptive approach to this scenario where data analysis supports decisions related to component maintenance strategy, a literature review was conducted to understand how aspects of Industry 4.0 and data analysis can influence maintenance strategies. As a result of this review, a methodology is proposed for applying structured data analysis based on a robust statistical foundation. A case study of applying this methodology is presented, with the analysis of operational data from a specific component installed in a fleet of heavy commercial vehicles. Through the application of statistical techniques, a variable representing component wear is correlated with variables describing application severity, demonstrating that enhancing maintenance strategies based on data analysis is feasible. With the increased accuracy of component maintenance criteria, a 10% increase in availability is estimated.
Microstructural Analysis and Tribological Performance of Composite Iron Sulfides in Automotive Brake Pads
Authors: Jara Diego Chavez , Lorenzana Carlos , Cotilli Edoardo , Sliepcevich Andrea , Conforti Michael
Published: August 2024

This research explores the tribological characteristics of brake friction materials, focusing on synthetic iron-based sulfides with unique microstructures. Tribological testing, conducted per the SAE J2522 and SAE J2707 standards across diverse temperatures, reveals the superior performance of brake pads incorporating composite iron sulfide, especially at high temperatures. These pads exhibit stable friction levels and reduced wear compared to those utilizing pure iron sulfide, signifying a noteworthy advancement in overall tribological properties. A comprehensive cross-sectional analysis of friction materials using Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM/EDS) reveals chemical alterations. Pure iron sulfide undergoes extensive oxidation compared to composite iron sulfide, which exhibits oxidation near the friction surface due to differences in the oxidation mechanism because of the differential microstructure. Furthermore, Thermogravimetric Analysis (TGA) and X-ray Diffraction (XRD) techniques were employed to validate the observed differences. The research highlights the pivotal role of microstructure in influencing the kinetics of thermal oxidation. An alternative oxidation mechanism is postulated for composite iron sulfides, offering insights into disparities in oxidation processes compared to pure iron sulfides. A noteworthy aspect is the protective function of magnesium oxide in composite iron sulfide, acting as a shield against oxidation. These findings indicate significant performance enhancements for composite iron sulfide (FE50), particularly in high-temperature conditions, exhibiting consistent friction coefficients and reduced wear compared to pure iron sulfide (FE10).
The Effectiveness of Collaborative and Discovery Learning Methods in Improving Students’ Creative Thinking Ability in “Aqidah Akhlaq” Learning in Madrasah Tsanawiyah
Authors: Wahidah Lilis Nurul , Daryono Rihab Wit
Published: August 2024

Objective: The researcher chose a topic of discussion regarding the comparison of 2 learning models that are theoretically effective for use in the classroom when learning Aqidah Akhlak. In its application, learning the Aqidah Morals can be delivered through several methods. This research aims to test the effectiveness of collaborative and discovery learning models on students' creative thinking skills. Method: The research method used was a pre-test and post-test design experiment. The research sample consisted of 2 classes divided into two groups, namely two experimental groups that used collaborative and discovery learning models. The data analysis technique used in this research is the normality test using the Shapiro-Wilk, independent sample t-test, paired sample t-test, and N-Gain tests. Results: After the treatment, the data analysis from the post-test scores can be seen. Based on the N-Gain Test shows that creative thinking skills increased significantly in both groups after treatment, with data results in the collaborative group being 0.46 < 0.70 in the medium category and the discovery group only 0.27 < 0.30 in the low category. These data showed a more significant improvement in the group that received collaborative learning than in the discovery group. Novelty: This research presents novelty, which lies in the comparative approach taken to analyze the two methods simultaneously, as well as the use of holistic, quantitative measuring tools to identify significant changes in students' creative thinking abilities.
ANEMIA AND FEMALE SEXUAL DYSFUNCTION
Authors: Доброхотова Ю.Э. , Мандрыкина Ж.А.
Published: August 2024

Во всем мире железодефицитные анемии занимают первое место по частоте распространения среди женщин молодого возраста, при этом на долю беременных приходится до 51% анемий. По данным Всемирной организации здравоохранения, в зависимости от возраста, пола и социально-экономических реалий распространенность анемий может составлять от 5 до 40%. В Российской Федерации на долю железодефицитных анемий приходится до 75% выявленных случаев, при этом до 40% составляют пациентки с завершившейся беременностью. Ввиду того что железодефицитные анемии характеризуются поражением органов и систем, необходимо принимать во внимание, что на фоне характерных клинических проявлений у женщин могут возникать и нехарактерные, но не менее важные состояния, связанные с сексуальными расстройствами и дисфункциями. При этом из-за сложившихся стереотипов пациентки практически не обращаются с данными проблемами к врачам, а если пытаются заговорить о них, то, как правило, с врачом акушером-гинекологом. Поскольку возникновение анемий, в частности железодефицитных, зависит от ряда факторов: социально-экономических, алиментарных, паразитарных и других, а клинические проявления разнообразны и весьма неоднозначны, выявление и коррекция данных состояний представляют непростую задачу и требуют внимания специалистов всех категорий.

Iron deficiency anemia is in the first place worldwide in terms of the incidence of diseases in young women, while pregnant women account for up to 51% of anemia. According to WHO, depending on age, gender and socio – economic realities, the prevalence of anemia can range from 5 to 40%. In the Russian Federation, iron deficiency anemia accounts for up to 75% of detected cases, while up to 40% are patients with completed pregnancy. Due to the fact that iron deficiency anemia is characterized by damage to organs and systems, it is necessary not to forget that against the background of characteristic clinical manifestations, women may have non-characteristic conditions, but no less important ones associated with sexual disorders and dysfunctions. At the same time, due to the prevailing attitudes, patients practically do not deal with these problems and if they try to talk, it is usually with an obstetrician-gynecologist. Since the occurrence of anemia, and in particular iron deficiency, depends on a number of factors: socio-economic, alimentary, parasitic, etc., and the clinical manifestations are diverse and not very monosyllabic, then the identification and, accordingly, correction of conditions is not an easy task and requires attention from all categories of specialists.
EVOLUCIÓN ORGÁNICO FUNCIONAL DE LA ADMINISTRACIÓN DE LA JUNTA DE ANDALUCÍA (1999-2004)
Authors: VILELA GALLEGO PILAR
Published: August 2024

Se muestra la estructura orgánico funcional, además de las competencias y funciones de la Administración de la Junta de Andalucía desde 1978 y hasta abril de 2004.
OPORTUNIDADES DE LA APLICACIÓN DEL MODELO DE EXCELENCIA EN LA GESTIÓN EFQM EN LA ADMINISTRACIÓN PÚBLICA ANDALUZA
Authors: SUNYER I PELEGRÍ ALBERT
Published: August 2024

Estudio en el que se analizan uno por uno los siete de los ocho criterios que forman el Modelo Europeo de Excelencia en la Gestión, desarrollado por la Fundación Europea para la Gestión de la Calidad (EFQM) y su aplicación en el Conservatorio Profesional de Música Francisco Guerrero.
PLÁCIDO FERNÁNDEZ VIAGAS, PRESIDENTE Y JUEZ: PRENSA, PARLAMENTO Y JUSTICIA DEMOCRÁTICA
Authors: RUIZ ROMERO MANUEL
Published: August 2024

Estudio de investigación sobre la personalidad de Plácido Fernández Viagas, a través de una compilación de artículos periodísticos, intervenciones parlamentarias, etc. Contiene anexo con las visitas y recepciones efectuadas por Fernández Viagas durante sus primeros meses como Presidente de la Junta de Andalucía.