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Sports Tourism and Community Development: Exploring the Links and Sentiments
Sports tourism has emerged as one of the most effective forms of tourism through its ability to satisfy the need of modern-day tourists who prioritize novelty, engagement, and experience. Meanwhile, the sustainable community (development) agenda is also parallelly getting its due attention in the form of SDG11. Recently, the power of sports tourism and events in harnessing community development has been discussed in various patches. However, the structure and mechanism of this growing linkage are rarely discussed holistically, making generalizability a challenging goal to achieve. Further, the aspect of sustainability needs to be studied more. In this regard, the authors of this chapter have attempted to develop a conceptual framework mapping the linkages of sports events and community development, keeping the sustainability agenda in the backdrop. Further, sentiment analysis through NVivo has been performed on all significant works to understand the general sentiments across various communities regarding sports tourism contributing to their development. While the framework development objective is conceptual in nature, the retrieval of the significant themes and sentiments is attained through analytical research. It is concluded that the impacts of sports tourism and events on communities align with the three (triple) bottom lines of sustainable development, i.e., economic, sociocultural, and environmental. These influences result in the sustainable development of the communities. Sentiment analysis points toward the positive sentiment for sports tourism resulting in community development in most cases analyzed. This research will assist both academicians and practitioners in better understanding the linkage between sports tourism and community development and devise measures to make this linkage more sustainable. Springer Nature Singapore Pte Ltd 2024. -
IoT in schools: Revolutionizing education through smart technology
The Internet of Things (IoT) is rapidly transforming various sectors, and education is no exception. This chapter explores the potential and applications of IoT technology in the education sector, shedding light on how it can revolutionize teaching, learning, and overall school management. By seamlessly integrating smart devices and applications into the classroom environment, IoT creates an interconnected and efficient learning ecosystem. The discussion covers the current state of IoT adoption in education, highlighting the benefits, challenges, and future prospects of this technological integration. 2025 selection and editorial matter, Adesh Kumar, Surajit Mondal, Gaurav Verma, and Prashant Mani; individual chapters, the contributors. -
Analogy of Social Entrepreneurship and Community Empowerment: An Inclusive Tourism Approach with Technological Intervention
Destinations overall development is ascertained by its conscious measures toward inclusive engagement with responsible business practices. The social enterprises functioning in the tourism system engage the disadvantaged communities responsibly for economic prosperity and community empowerment. Tourism social entrepreneurship is an innovative mechanism toward social upliftment by enhancing the benefits and contemplating through the core issues of host communities. This chapter focuses on case lets on communities, particularly those located in less-developed regions of India, who encounter various social problems. A sustainable community development through tourism leads economic growth in developing marginalized communities and economically empowers the low-income localities. Technological intervention for community empowerment and better engagement is the need of the hour. It is instrumental to understand the ideology of social entrepreneurial opportunities for community empowerment. Tourism relies on multiple industries and it is challenging in delivering desired community development goals. Adaption of techno-enabled system toward community development can build the entrepreneurship capacity of marginalized communities. Technological interventions for empowering the community toward rural development is the thrust dealt in the proposed chapter. Springer Nature Singapore Pte Ltd 2024. -
Gamification in Tourism Teaching and Learning: Exploring the Emergent Dimensions
First introduced in 2002 by British Programmer Nick Pelling, the term gamification has gained massive momentum in the last decade with extensive applications in teaching and learning (Hebebci & Selahattin, Current Studies in Social Sciences 2021:174, 2021). In its simplest form, gamification refers to the adoption of principles and design elements of various games in nongame situations (Deterding et al. From game design elements to gamefulness: Defining gamification. In Proceedings of the 15th international academic MindTrek conference: Envisioning future media environments (pp. 915), 2011). Further, the interaction between the students and technological interventions is rising, opening new avenues for innovative strategies like gamification to promote effective teaching and learning (Kapp, The gamification of learning and instruction: Game-based methods and strategies for training and education. Wiley, 2012). In the context of tourism, works of (Nair, B. B. Endorsing gamification pedagogy as a helpful strategy to offset the COVID-19 induced disruptions in tourism education. Journal of Hospitality, Leisure, Sport & Tourism Education, 30, 100362, 2022.) and Aguiar-Castillo, Herndez-Lez, De SaPez, and Pez-JImez (Journal of Hospitality, Leisure, Sport & Tourism Education, 27, 100267. https://doi.org/10.1016/j.jhlste.2020.100267, 2020) provide insights into the various facets of gamification as a tool for teaching and learning. However, these works hardly address the emerging issues in adoption, implementation, and barriers that have been dealt with in this chapter. Against this backdrop, the first section of this paper ventures into the various implications of gamification in the field of tourism teaching and learning. Next, taking cues from significant land marking studies, this work lists the factors responsible for making gamification an effective teaching and learning tool in tourism. Lastly, attempts have been made to underline the elements that may pose challenges in the path of the rise of gamification as a teaching and learning tool. This work can be primarily classified as a conceptual paper with a systematically drawn inductive approach. Majority of the paper has been drafted based on the review of critical works derived from the search of keywords such as gamification and tourism and teaching and learning on major search engines such as Scopus, Web of Science, and JSTOR. The authors conclude that gamification as a teaching and learning tool in tourism education is still its necesent stages of implementation, and there are an equal number of challenges that need to be addressed before it (gamification) becomes a mainstream tool in tourism teaching and learning. Springer Nature Singapore Pte Ltd 2024. -
Nanocomposites in Combating Antimicrobial Resistance
Extensive and improper usage of antibiotics has resulted in the outbreak of multidrugresistant microorganisms and increasing antimicrobial resistance (AMR), which has become a significant threat to global health and health care. Resistant microorganisms adapt various resistance mechanisms like modifying the structure of antibiotics, altering the target, inhibiting the internalization of antibiotics, ejection of antibiotics from bacterial cells, etc. By lowering or completely disabling the efficacy of antibiotics, AMR may become a primary cause of mortality if left unattended. Developing effective antiresistance strategies to combat AMR is an urgent need of time. Nanomaterials have great potential to inactivate pathogens, and their mechanism of antimicrobial activity is different from antibiotics. With these unique mechanisms of antimicrobial action, nanomaterials are less prone to develop AMR. Developing nanocomposites can provide synergistic effects to improve the properties and strengthen the antimicrobial capability of individual nanomaterials. In this chapter, contemporary developments in the application of antimicrobial composites such as carbon nanocomposites, metallic nanocomposites, nonmetallic nanocomposites, metalloid nanocomposites, polymer nanocomposites, ceramic nanocomposites, and their hybrid forms to prevent the evolution of AMR will be discussed. The current research direction, prospects, and possible strategies to explore nanocomposites as potent antimicrobial agents to conquer AMR will be highlighted. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Yellow leaf disease, climate change, and its impact on the life of farmers in Sullia
Sullia taluk of Dakshina Kannada district has been receiving heavy rainfall for the past few years, having a huge impact on agriculture. Yellow leaf disease spreads from one fully grown tree to another and gradually to the adjacent trees. Arecanut plantations across the region developed the disease, reducing arecanut production. It has hit the livelihood of many farmers whose only source of income was the harvest of arecanuts. Apart from the fungal infection causing financial loss, farmers also face the brunt of gradually reducing agricultural yield in consecutive years. It is yet to be tackled with chemical treatment and hence stands tall as a problem causing an impact on the lives of farmers in Sullia. The current study explored the problem of climate change resulting in yellow disease and its impact on the well-being of plantation owners and workers in the context of Sullia whose culture is rooted in the land. A lack of awareness about mental health influencing the understanding of an epidemic interfering with the local way of life has been emphasized. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. -
Impact of climate adaption and resilience on mental and social wellbeing
According to United Nations Climate Change, adaptation refers to adjustments in ecological, social, or economic systems in response to actual or expected climatic stimuli and their effects. In contrast, resilience is all about being able to cope with unexpected or difficult circumstances and being able to persevere in the face of challenges, overcoming barriers and bouncing back after setbacks. While adaptability involves changing to manage under new conditions, resilience, through bouncing back, implies the ability to revert to a previous, more positive state after experiencing some difficulty or challenge. Marianne Hrabok (2020) The pathways through which extreme climate events affect mental health are numerous and include direct (e.g., exposure to trauma) and indirect (social, economic disruptions) routes (Ramadan and Ataallah, 2021). Climate-related catastrophes have significant impacts on the mental well-being of the populations involved, causing surges in cases of depression, anxiety, and posttraumatic stress disorder (PTSD) primarily (Gina Martin, 2022). Studies suggest that the mental well-being impacts and negative emotions that stem from climate change awareness may be shared among child populations (Doherty & Clayton, 2011). In addition to direct and indirect psychological impacts, climate change is likely to impact social and community relationships. Some of these impacts may result directly from changes in climate, but most are likely to be indirect results of shifts in how people use and occupy territory. The response to climatic change by any living organism or system is to adapt or be resilient. This chapter discusses the different types of adaptation and resilience strategies theoretically and successfully adopted by various countries in the world. These strategies have a remarkable impact on the mental and social well-being of its stakeholders. With the discussion on the impacts, this chapter will also suggest strategies to be adopted at an individual level to either adapt or resilience toward climatic change to enhance mental and social well-being at the same time. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. -
Blending of Knowledge Management with Industry 4.0: A New Formula for Success!
The convergence of Industry 4.0 and knowledge management presents a transformative opportunity for organizations seeking enhanced efficiency and sustainable growth. In the context of organizational processes, the amalgamation of technological advancements and effective knowledge management practices can lead to a reduction in costs and an overall improvement in operational efficiency. Understanding the intricacies of knowledge management procedures is crucial, encompassing the production, transfer, acquisition, storage, and utilization of knowledge resources across the organizational spectrum. The advent of the fourth industrial revolution, commonly referred to as Industry 4.0, has significantly reshaped traditional knowledge management systems. Industry 4.0 introduces the interconnectivity of machines and their autonomous capacity to learn and share data. While both knowledge management and Industry 4.0 offer distinct benefits individually, a strategic approach that combines the strengths of both can unlock new opportunities for efficient business growth and success in the external environment. This article delves into the symbiotic relationship between Industry 4.0 and knowledge management, emphasizing their combined potential. Industry 4.0 generates vast volumes of data, and by leveraging knowledge management, organizations can derive valuable insights to inform decision-making processes. Historical data and best practices, accessible through knowledge management, contribute to process optimization. Integration with Industry 4.0 technologies, such as automation and the Internet of Things, further enhances process efficiency. The marriage of knowledge management and Industry 4.0 extends beyond process optimization to workforce development. Recognizing employees as the building blocks of an organization, this integration enables better management by upgrading knowledge and skills. Consequently, it enhances the overall productivity of the workforce, contributing to organizational success. In the dynamic landscape of globalization, technology, and competition, this chapter serves as a guide for organizations aiming to harness the collective power of knowledge management and Industry 4.0. By exploring their complementary benefits, it seeks to facilitate the informed utilization of these tools for the betterment and sustainability of businesses in the contemporary world. 2024 Scrivener Publishing LLC. -
The mental health climate crisis: Unveiling the hidden consequences of global warming
Today, the issue of climate change is a matter of great urgency on a global scale, with vast-reaching implications. While the environmental and physical health effects of climate changes are well-documented, its impact on mental health is an emerging area of concern. The issue of climate change necessitates a rigorous and systematic approach to comprehending, evaluating, and addressing climatic anxiety. This approach must underscore the differentiation between adaptive and maladaptive forms of anxiety, and the importance of considering the societal-level response necessary to effectively combat climate change. Studies have documented the impact of natural calamities like Hurricane Katrina on low-income people residing in those areas. The present study rests on the objectives of examining the psychological impact of climate change on individuals, communities, and vulnerable populations with the help of literature. Further, investigation is continued on the role of climate-related stressors, such as natural disasters, heatwaves, and environmental degradation on mental health outcomes. The study also identified the potential interventions and strategies for mitigating the adverse impact on mental health due to climate change. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. -
Using Ensemble Model to Reduce Downtime in Manufacturing Industry: An Advanced Diagnostic Framework for Early Failure Detection
The fourth industrial resolution marks a significant shift that uses emerging technologies such as intelligent automation, extensive machine-to-machine communication, and the internet of things (IoT) to modernize conventional manufacturing and industrial methods. The examination of vast data gathered in modern industrial facilities has not only greatly leveraged artificial intelligence (AI) tools but has also driven the development of innovative technologies. In this context, a novel framework for predictive maintenance in the production sector is introduced in this research, which depends on an ensemble model. First, a set of input features are collected from sensors. Then, data normalization technique is applied to standardize and prepare data for further analysis. These normalized input features are then used to train an ensemble classifier. In the ensemble model, multilayer perceptron (MLP), K-nearest neighbors (KNN), and support vector machine (SVM) are serve as base classifiers. Efficacy of the designed framework is validated using predictive maintenance dataset. Results demonstrated that the proposed ensemble model exhibited improved accuracy compared to individual base classifiers. The results further demonstrated that the implemented model had superior efficiency compared to the other benchmark models. 2025 selection and editorial matter, Amit Kumar Tyagi, Shrikant Tiwari, and Gulshan Soni; individual chapters, the contributors. -
Biodegradable Organic Polymers for Environmental Protection and Remediation
As the era of urbanization and industrialization progressed, non-biodegradable polymers became a severe threat to the environment and the world's rapidly growing population. These synthetic polymers possess flexible applications and cost effectiveness which makes their usage more feasible and convenient. Today they are used from simple packaging to critical biomedical tools. Although these polymers possess many merits, all come to halt when it comes to biodegradability. The inherent mechanisms in nature are unable to degrade and decompose these synthetic polymers leading to their accumulation and persistence in nature for decades causing calamitous effects. In search of solutions for the adverse effects caused by synthetic polymers, the world turned toward biologically synthesized biodegradable organic polymers. These biopolymers have a diverse set of physical and chemical characteristics that can be easily manipulated, allowing for a wide range of applications. Biopolymers like polyhydroxyalkanoates and levan have adaptable qualities that resemble those of synthetic plastics which makes them a promising alternative to synthetic plastics. However, the setback in the large-scale usage of biopolymers is their high cost of production and commercialization. The biopolymers are broadly classified into three major classes based on their origin: plant-based biopolymers (cellulose, starch), animal-based biopolymers (chitin, chitosan, keratin), and microbial biopolymers (polyhydroxyalkanoates, levan). The extraction or synthesis of these biopolymers from their biological sources varies significantly from each other; however, in order to bring out the sustainable production, these polymers should be produced by coupling with waste valorization approaches. The waste materials from plants and animals, particularly agro-industrial wastes, can be used as inexpensive substrates for the commercial manufacture of these crucial biopolymers, thereby reducing the accumulation in the environment. Another field of biopolymer usage is in remediation of pollutants. Many biopolymers are currently being used in the active removal of heavy metal, dye, and other similar pollutants. The numerous physical, chemical, and biological processes for extraction or synthesis of industrially valuable biopolymers from the waste raw materials are discussed in this chapter, along with their application in remediation of pollutants and environmental protection. 2025 WILEY-VCH GmbH, Boschstra 12, 69469 Weinheim, Germany. All rights reserved. -
Unveiling the Emotions: A Sentiment Analysis of Amazon Customer Feedback
This study explores sentiment analysis in the context of diverse regions and contemporary customer feedback, aiming to address research questions related to consolidation based on polarity scores and sentiments. The research utilizes multinomial regression for a comprehensive analysis of customer feedback worldwide. The investigation incorporates confusion matrices, statistics, and class-specific metrics to evaluate the models performance. Results indicate a highly accurate model with perfect sensitivity, specificity, and overall accuracy. The analysis further includes a breakdown of key metrics such as accuracy, confidence intervals, no information rate, p-value, kappa, and prevalence, emphasizing the models robustness. In conclusion, the multinomial logistic regression model demonstrates exceptional performance in predicting sentiment across diverse classes, highlighting its effectiveness in sentiment analysis on a global scale. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Adapting Case Study Pedagogy for Non-Residential Business Schools: Strategies for Implementation
Case study pedagogy is widely recognized as a powerful teaching approach in business education programs. However, its implementation in non-residential business schools poses distinct challenges. Optimizing case study pedagogy to the unique needs and circumstances of non-residential students necessitates a specific strategy. This chapter delves into various strategies essential for the effective implementation of case study pedagogy in non-residential business schools. First, an overview of 2024 by IGI Global. All rights reserved. -
Green space and mental well-being research in India: An urgent need for intervention
In recent years, numerous studies have highlighted the positive impact of green spaces on mental health and overall well-being. However, a closer examination reveals a skewed green space research contribution, with developed countries taking the lead. Despite substantial burden of mental health issues, there is a noticeable dearth of green space research within India's academic landscape. In the current paper, we address this gap through a brief review that positions the scope of green space psychology (GSP) in India. We conducted the literature review using a machine learning tool called Crawling Scholar. Our review comprised 325 studies, focusing on five key parameters: the year of publication, geographical context, research design, psychological variables examined, and study population. Our findings indicate a significant body of global research on GSP, while the contribution from Indian scholarship remains negligible. Based on this discrepancy, we propose that incorporating GSP as an intervention and preventive measure could play a crucial role in addressing India's mental health challenges. By integrating traditional practices with the emerging field of GSP, we can harness the potential of green spaces to promote mental well-being. Our findings further underscore the importance of expanding research on GSP within the Indian context and emphasize the need for further investigations into its efficiency. By shedding light on the current status of GSP research in India, we aim to raise awareness among researchers, policymakers, and mental health professionals, fostering a collaborative effort to leverage the benefits of green spaces for the betterment of mental health infrastructure in India. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. -
CovalentOrganic Frameworks (COF): An Advanced Generation of Reticular Organic Polymers for Energy and Environmental Applications
Over the past decade, nanoporous materials have caught strong attention among the scientific community due to their tremendous potential in real-world applications. This chapter introduces one such group of nanoporous materials called Covalent Organic Frameworks or simply COFs. Here, we briefly covered the overview of synthesis of COFs and their post-synthetic modifications employing different linkages boron, imine, triazine linkages, etc. High porosity with adjustable periodic pores, well-defined structures, and tunable skeletons are some of the key properties of COFs. In account of such advantages COFs have been scientifically researched in applications like adsorption, separation, energy storage devices, sensing, and especially in degrading various pollutants like heavy metals As, Cd, Cr, Cu; radionuclides UO 2 2+, TcO 4 ?, Nd 3 +, I 2; organic waste dyes, pharmaceutical waste, organo-phosphorous retardants, etc. This chapter specifically describes the current advancement of COFs in segregating hazardous chemicals by sorption methods. One such example is heavy metal sorption in trace amounts from water which otherwise can pose a great threat to human health if not removed completely. Some of these ions include UO 2 2+. By utilizing weak chemical interactions for dye confinement within COF pores, industrial sewage water can be made dye free. ?-conjugated backbones found in aromatic COFs could function as a signal transducer, or active functional groups evenly spaced could act as a receptor, and the uniform pores can serve as mass transfer inducer/enhancers. As a result, COFs can facilitate facile and smooth ion transport by the virtue of redox activities within COF pores. This makes COF a robust and efficient material for energy applications particularly in designing batteries and supercapacitors. Thus, COFs could act as a potential electrodes both anode and cathode for energy storage devices. The current chapter also highlights the development in the field of environmental applications using COF materials. In a nutshell, this chapter gives the reader an idea about many fold advantages of COFs in the energy and environmental sector to combat rising environmental concerns and energy demands. 2025 WILEY-VCH GmbH, Boschstra 12, 69469 Weinheim, Germany. All rights reserved. -
The social psychology of COVID-19 stigma
The spread of infectious diseases and the associated stigmatisation of people is an evidenced history. The present chapter is an attempt to explain the stigma of race, class and religion in India with the help of the established intergroup theories of social psychology to highlight the psychosocial consequences resulting out of an outbreak of infectious diseases, i.e., COVID-19. In order to present the implicational value of intergroup theories in explaining the practices of COVID-19-generated stigmatisation of people in India on the basis of their belongingness to particular race, class and religion, a systemic review of the COVID-19-generated stigmatisation of people and groups was carried out. Anecdotal presentations of stigmatised treatments against the several social groups in India are explained from the vantage of intergroup theoretical approaches of social psychology. In our review, intergroup theories of social psychology were found instrumental in explaining COVID-19-generated stigmatised treatments directed against people based on race, class and religion. Intergroup Emotions Theory could explain the stigmatisation of Northeast Indians. Scapegoat theory was found instrumental in explaining the stigmatisation of poor and migrants. Stigmatisation against Muslims could be justifiably explained in the light of social identity theory. At last, the chapter attempts to make certain recommendations aimed to reduce or combat negative psychosocial responses to infectious diseases like COVID-19. 2025 selection and editorial matter, Asma Parveen and Rajesh Verma; individual chapters, the contributors. -
Robotics: challenges and opportunities in healthcare
Today, healthcare services and systems are becoming very complex and include a large number of entities characterized by shared, distributed and heterogeneous devices, sensors, and information and communication technologies. Various artificial intelligence techniques have been implemented in various sectors like smart cities, energy, IT sectors, banking, agriculture, retails, and many more, but it has been always challenging to demonstrate this technique effectively in healthcare sector due to its sophisticated procedure and its handling. Data analytics research on healthcare data has grown significantly over the past 10-12 years, and the execution of data analytics algorithms and systems in healthcare has been progressing more quickly. The data analytics service section has gained considerable attention with the development of technology, especially artificial intelligence robots, in the healthcare sector. Robots can help people with cognitive, sensory, and motor disabilities, help the sick or injured, support caregivers, and assist the clinical workforce. The purpose of this study is to provide historical evolution of robotics in healthcare with an overview of the influence of robots in healthcare like clinical support, patient transfer in hospitals, to handle heavy surgical instruments, to transport medical waste, for drug delivery, patient management etc. Furthermore, this chapter also covered the challenges and opportunities in healthcare and also offers a comprehensive aspect at how robots are incorporate in various healthcare applications. 2025 Elsevier Inc. All rights reserved. -
Smart therapist: The mental health detector
In this fast-moving world, mental health disorder has turned to be one of the important issues which need utmost care and concern. According to the National Mental Health Survey Report, at least 14% of the India's population needs attention for mental disorders, of which stress, depression, and anxiety are the most common. An automated system that helps in detecting these mental disorders and thereby helps us to lead a better life by moulding our lifestyle is desirable. This chapter proposes an Intelligent Therapist based on machine learning which diagnoses a person's mental state through a set of questionnaires that helps in determining his/her mental state. The chatbot analyses the response and classifies them into different categories as per the severity of the disorder. The model is trained and tested on varying datasets to provide better accuracy in the understanding of human behaviour. This web-based chatbot will be accessible to anyone having access to the internet and will act as a preliminary self-check-up point. 2025 selection and editorial matter, Neha Goel and Ravindra Kumar Yadav; individual chapters, the contributors. -
2D Metal-based Electrocatalysts: Properties and Applications
Metallic nanostructures with thickness ranging from a single atom up to 100 nanometers fall under the category of 2D metals. The modified electronic band structure due to quantum confinement effects leads to intriguing electrical and electronic properties. Moreover, the properties can be further altered by variations in their shape, thickness, and lateral size. The exceptionally high surface area to volume ratio of 2D metals and stretchability are beneficial in electrocatalysis. The exposed atoms on the outer surface of 2D metals with low coordination numbers, possess unique properties, forming numerous active sites on the surface. As a result, 2D metals demonstrate a high ability towards the activation of small molecules, including O2, H2, CO2, HCOOH, CH3OH, C2H5OH, etc. This exceptional oxidation reactivity enables 2D metals to be excellent electrocatalysts for hydrogen/oxygen evolution reaction (HER/OER), oxygen reduction reaction (ORR), and oxidation of small molecules (formic acid, methanol, and ethanol) for fuel-cell applications. As the localized surface plasmon resonance (SPRs) is sensitive to the size/shape of plasmonic 2D metals, the optical absorption enabled by SPRs offers additional advantages for photo-electrocatalytic processes. The stability of highly active catalytic 2D metals presents a challenge due to the propensity of metal surfaces with high reactivity to undergo oxidation. Recent developments in the synthesis, properties, and applications of 2D metal nanostructures for electrocatalytic processes are discussed. The challenges and opportunities in the electrocatalytic application of 2D metal nanostructures have been summarized. 2025 Ram K. Gupta. -
Statistical Data Analysis of Anticorrosion and Antifouling: Unveiling Insights from Performance and Trends
This chapter provides intended insights about the current antifouling and anticorrosion conventional coatings, each with a distinct quality, that fall short of fully satisfying the contemporary requirements of material preservation in a marine environment. To solve these issues and accomplish the required goals, a number of novel terminologies and procedures have been investigated and several recently published research works were referred to and briefly examined in order to provide appropriate conclusions. In order to explore new methodologies that provide total protection for materials from biofouling and corrosion in maritime environments, this study looks into the complex realm of antifouling and anticorrosion methods. 2024 Scrivener Publishing LLC.