Browse Items (1422 total)
Sort by:
-
The aesthetics of corpses in popular culture
[No abstract available] -
ChatGPT and virtual experience: Student engagement in online script writing-An experimental investigation among media students
To study and assess the immersive virtual environment experience of ChatGPT on student engagement in online script writing among media students, an experiment was conducted at the VR Experiential Lab, Christ University, between September 2023 and January 2024. The media students were tasked with writing a script for a short film within a VR environment, with ChatGPT displayed using an Oculus HMD (head-mounted display). A total of 180 students were recruited for the study through purposive sampling, and experiment photos are provided in the appendix. The data collection tool utilized was the virtual experience questionnaire developed by Tcha-Tokey. 2024, IGI Global. All rights reserved. -
Cultivating self-esteem: Exploring the intersection of culture, neurocognition, and behavior among female media professionals
This study employed a comprehensive research strategy utilizing both online and offline methodologies to gather insights from 278 female media professionals in Karnataka. The survey, conducted from May 2023 to October 2023, encompassed a substantial timeframe, allowing for a thorough data collection process and the observation of potential variations over the months. The self-esteem scale and workplace communication behaviour inventory scale were employed for the data collection. All correlations were statistically significant affirming the reliability of these associations. Linear regression analyses further elucidated the relationships between self-esteem and specific workplace behaviours. 2024 by IGI Global. All rights reserved. -
Place-based strategies, multichannel merger, and context-driven alerts for engagement with mobile marketing
Mobile marketing is essential for timely, personalized communication in the digital world. Engagement is increased by location-based strategies like geofencing and context-driven notifications. Integrating social media improves ties with customers. In the digital age, multi-channel integration guarantees a smooth and personalized experience. As per the authors, this chapter explores how location-based suggestions, context-driven notifications, and multi-channel integration enhance client connections while highlighting the significance of geolocation data for targeted content. For context-driven notifications to be effective, helpfulness and privacy must be balanced. Companies create stronger relationships with their consumers and improve the customer experience, which motivates both present and new customers to engage and connect with their brand. An analysis is conducted on the changing field of mobile marketing, emphasizing the use of location-based tactics, multi-channel integration, and context-driven notifications to increase user engagement. 2024, IGI Global. All rights reserved. -
Engineering applications of artificial intelligence
Artificial intelligence (AI) has evolved rapidly over the past few decades, permeating various aspects of our lives and transforming industries. This chapter explores the emerging applications of AI across diverse fields, including healthcare, finance, transportation, education, and entertainment. In healthcare, AI is revolutionizing diagnostics, drug discovery, personalized medicine, and patient care. In finance, AI-powered algorithms are enhancing trading strategies, risk assessment, fraud detection, and customer service. The transportation sector is witnessing advancements in autonomous vehicles, traffic management, and logistics optimization through AI technologies. AI is also reshaping education with adaptive learning platforms, personalized tutoring, and educational analytics. Moreover, in the entertainment industry, AI is driving content creation, recommendation systems, and virtual experiences. Despite the remarkable progress, challenges such as ethical concerns, bias mitigation, data privacy, and regulatory frameworks need to be addressed for the responsible deployment of AI. 2024, IGI Global. All rights reserved. -
In Vitro Production of Bioactive Compounds from Plant Cell Culture
Secondary metabolites (SMs) are bioactive compounds widely used in various industries as pharmaceutical agents and food additives and serve as precursor substances for the synthesis of commercially important products. These natural bioactive metabolites are quickly replacing chemicals as efficient coloring, flavoring, texturizing, and preservative agents. Productions of these SMs are hampered due to physiological and technological parameters. Although SMs do not have any significant role in the growth and development of the organisms where they are found, they have commercial importance. Humankind has harnessed its application in every walk of their life. In the medical field, SMs are used as antibiotics, antifungal, antiviral, metabolic inhibitors, anticancer agents, and many more. The biological and pharmacological benefits of medicinal plants are attributed to SM produced by subsidiary pathways that are highly specific to target molecules. Most pharmaceuticals are either directly or indirectly derived from plant sources. Production of SMs from field plants suffers from various limitations like seasonal production, choosing specific plant organs for specific metabolites, low yield, cost of purification, and seasonal variations. Biotechnological approaches such as plant cell, tissue, and organ cultures are the best alternative methods for commercial production. The current chapter focuses on establishment of plant cell culture system for the production of SMs, strategies to improve biomass yield and metabolite content, and biosynthetic pathways. The chapter also emphasizes elicitation strategies, application of CRISPR Cas9 in metabolite synthesis, large-scale production, and commercial aspects of SMs. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
In Vitro Production of Tocopherols
Tocopherols are an essential dietary nutrient for mammals and photosynthetic products produced by green plants. Tocopherols commonly referred to as vitamin E exist in four forms (?-, ?-, ?-, and ?-tocopherol). Synthetic ?-tocopherol is a mixture of eight racemic forms and is less effective than natural tocopherol, thus the demand for plant-derived tocopherols is high. Tocopherols are lipophilic antioxidant and extensively used as therapeutic agents such as anti-inflammatory, anti-infection, anticancer, immune-stimulant, and nephro-protectant. They are also used as food additives and nutraceuticals. Plant cell and tissue culture is one of the promising techniques for mass production of tocopherols to meet the commercial demand. Optimizing physical and chemical factors for in vitro culture system has resulted in better accumulation of the product. Moreover, using bioreactors, precursor feeding, elicitation, biotransformation, and metabolic engineering approaches have resulted in enhanced yield of tocopherols from in vitro cultures. The present chapter deals with various important aspects of tocopherol in vitro production such as biosynthesis of tocopherol with special emphasis on key enzymes involved in the pathway whose modulation in expression can increase the yield of the product. Topics discussed include production of tocopherol from callus, cell and organ culture, metabolic engineering for mass production, different methods employed for extraction and quantification of tocopherols, and their biological activities and commercial applications. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
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. -
An Extensive Time Series Analysis of Covid-19 Data Sets on the Indian States
Pandemic influenza coronavirus is causing a great loss to mankind. It is creating a chaos on the global economy. Fight against this unseen enemy is affecting all the sectors of the global economy. Mankind is quivering with fear and scared to do something. This study gives a detailed presentation of the current position of virus escalation in India. Sentiment analytics from Twitter data is evaluated on sentiment, emotions and fear opinions are analyzed in the study. The analysis is on red, orange and green zones in several states of India and also gave a comprehensive interpretation on various phases of lockdown. Confirmed, active, recovered and deceased cases in all states are modeled to predict the increase of number of cases. Textual, geographical and graphical analytics are extensively described in the research study. Time series analysis is broadly elaborated as a case study till July 22, 2020, forecasting the impact of virus on Maharashtra, Kerala, Gujarat, Delhi and Tamil Nadu. This study will favor the administrative system to control the disease spread across the nation. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Cancer Prognosis by Using Machine Learning and Data Science: A Systematic Review
Cancer is one of the most fatal diseases in the world and the leading cause for most deaths worldwide. Diagnosing cancer early has become the need of the day for doctors and researchers as it allows them to categorize patients as high-risk and low-risk categories which will eventually help them in correct diagnosis and treatment. Machine learning is a subset of artificial intelligence that makes use of raw data to make predictions and insights. Using machine learning for cancer prognosis has been under study for a long time and several papers have been published regarding the same. Even though many papers have been published on the usage of statistical methods for cancer prognosis, it has been proved that machine learning models provide more accuracy when compared to conventional statistical methods of detection. These machines can be trained to detect abnormalities such as a tumour by looking at real-world examples. Models such as artificial neural networks, decision trees, clustering techniques, and K-Nearest-Neighbours (KNNs) are being used for cancer prediction, prognosis and also research purposes. The key aim of this article is to go through the popular key trends in using machine learning algorithms for cancer prognosis, types of input datasets to be fed, different types of cancers that can be studied and also the performance of these models. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Digital Transformation in Higher Education: Impact of Instructor Training on Class Effectiveness During COVID-19
Digital technology is transforming society and business like never before. Digital technology has made inroads into all sections of society, especially with the pandemic restricting interaction and movement in the physical space. Education systems and institutions have witnessed a drastic change in their pedagogy. Education institutions adopting digital technologies can become drivers of growth and development for their ecosystems bringing significant changes in education, engagement, and management of class activities of educational institutions. The education system will have to adapt and evolve to take advantage of the new technologies and tools and develop strategies to play an active role in the digital transformation process. In the wake of the COVID-19 situation, higher education institutions have adopted digital platforms for teaching and learning. The study attempts to understand the instructors/academician/teachers training process adopted by selected higher education institutions in India to facilitate migration to digital platforms. Further, the study analyses the challenges faced in the new normal of education and the levels of training process initiated by institutions for teaching faculty. The authors have tried to analyse how this has enabled instructors to meet the challenges of conducting online classes and increase class effectiveness. The study unfolded the impact of high-level institutional training on class effectiveness and how individual digital preparedness is essential in engaging virtual classrooms. Further, the positive impact of training in reducing anxiety in engaging online sessions and the extent of motivation to continue online teaching as it has become inevitable with the second wave of the pandemic were examined across age and gender. An attempt is made to suggest few strategies for continued effective online class engagement as India battles through the second wave of the pandemic. 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Indigenous tribes and inclusive engagement: An integrated approach for sustainable livelihood into the future
Tourism acts as a stimulant in rural poverty reduction and inclusive socioeco-nomic development. Sustainable tourism can significantly contribute to the economic diversification and local economic development of rural areas with its ability to create jobs and encourage infrastructural development focusing on preserving the environment, culture and indigenous groups. The detrimental effects of tourism on the economy, society and culture have shifted attention to sustainable travel. As a result, terms like 'tribal tourism', 'ecotourism' and 'sustainable tourism' have become popular. Inclusive engagement is a crucial agenda item in future tourism development and a major concern of many international organisations, including the United Nations. This chapter focuses on exploring the tribal communities and their involvement in sustainable tourism initiatives with an overarching focus on the role of the indigenous community and their skill sets in creating sustainable livelihoods through tribal tourism. Apart from creating direct and indirect employment opportunities, 2024 Kottamkunnath Lakshmypriya and Bindi Varghese. All rights reserved. -
Anti-caste Movement and Rise of Dalit Womens Voices from South Asia
There have been cohesive attempts at forging alliance through the sustained efforts of emergent Dalit Civil society network, Dalit academicians and the renaissance of Ambedkarite thought among the Dalit youth around the question of political representation and social justice. This has led to a renewed and greater visibility of caste-based social relations and interactions in the present millennium, which was otherwise, treated as a long-forgotten age-old tradition. The lived experiences of exclusion and atrocities faced by members of the Dalit community especially the violence against women and girls reflect the grim reality of the prevalent casteist and patriarchal society. In this background, the emergence of Dalit Womens collectives raising their voices not just on caste but also on the intersectionality of gender provides a new dimension of analysis based on the critical race theory. Thereby, the attempt has been on forging an alliance and building collective voices. The chapter seeks to highlight the numerous struggles and triumphs along the way made by Dalit Women (also with building alliances with Black Womanists and Feminists Movement) in challenging the way in which feminists discourses have been held leading to rethinking and reimagining womens collectives by way of building solidarities, recognizing the difference of experience and positioning in caste and gender ladder that have influenced access to resources, rights, political representation and decision-making power from the local governance to national level. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
An Efficient Security-Enabled Routing Protocol for Data Transmission in VANET Using Blockchain Ripple Protocol Consensus Algorithm
The security quality in Vehicular Ad-hoc NETworks (VANET) has improved as a result of recent developments in Intelligent Transportation Systems (ITS). However, within the current VANET system, providing a cheap computational cost with a high serving capability is a significant necessity. When a vehicle user goes between one Roadside Unit (RSU) to another RSU region in the current scenario, the current RSU periodically needs re-authentication of the vehicle user. This increases the computational complexity of the system. The gathering and broadcast of existing traffic event information by automobiles are critical in Vehicular Ad-hoc Networks (VANET). Traditional VANETs, on the other hand, have several security concerns. This work develops a blockchain-based authentication protocol to address the aforementioned difficulty. To address critical message propagation issues in the VANET, we invent a novel type of blockchain. We develop a local blockchain for exchanging real-world event messages among cars within a countrys borders, which is a novel sort of blockchain ideal for the VANET. We describe a public blockchain RPCA that records the trustworthiness of nodes and messages in such a distributed ledger suitable for secure message distribution. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Cybersecurity Disclosure and Corporate Reputation: Rising Popularity of Cybersecurity in the Business World
This chapter emphasizes the importance of cybersecurity for a corporation as todays organizations are more vulnerable than ever and their enemies are in the form of viruses and malware. The work provides evidence that cybersecurity can have an impact on brand value, market value, and overall corporate reputation. It focuses on depicting the global scenario with reference to cybersecurity disclosures by corporations and how it is important in todays digitized era where data is the most valuable and vulnerable asset. With rapid digitalization, cybersecurity has become a major concern for all businesses, especially when there is financial and reputational damage to cybersecurity breaches and incidents. Even in the absence of clear cybersecurity laws and regulations, corporations are opting for voluntary disclosure. Existing literature explains this as an attempt to mitigate any potential risk or occurred risk through increased transparency which will build the trust of all stakeholders. 2023 by IGI Global. All rights reserved. -
Smart Portable Neonatal Intensive Care for Rural Regions
Every year, an increasingly large number of neonatal deaths occur in India. Premature birth and asphyxia are being two of the leading causes of these neonatal deaths. A well-regulated thermal environment is critical for neonatal survival. In the current scenario, it is impossible for the health centers in the rural areas of India to afford a neonatal incubator for every newborn due to its price and transportability. The successful delivery of neonates is hampered in India due to its increasing population along with limited technology and resources. Thus, a prototype of an incubator has been designed that is affordable, transportable, and energy saving for the health centers in the rural regions, with an AI-based decision support system. Springer Nature Singapore Pte Ltd 2020. -
From resistance to readiness: Leveraging neuroscience perspectives for successful change management in the manufacturing sector
Change initiatives often encounter resistance from employees, impeding successful implementation. Leveraging insights from neuroscience can provide valuable guidance in navigating this resistance and promoting readiness for change. Social experiences in a work environment affect the brain positively or negatively. By understanding the brain's response to change, change managers can create a supportive environment and communicate accordingly. This study examines the impact of social experiences on readiness to change among employees in the manufacturing sector from a neuroscience perspective. SCARF is a neuroscience-based model that evaluates five dimensions of social experiences such as status, certainty, autonomy, relatedness, and fairness. This quantitative study is based on data collected from different manufacturing organisations. The results of this study provide insights into how change managers can address these social domains to promote successful change initiatives and improve employee readiness to change. 2023 by IGI Global. All rights reserved. -
Light Tracking Bot Endorsing Futuristic Underground Transportation
Controlling a bot machine that uses non-conventional energy form, i.e. light is said to have an upper hand in pioneering transportation system. The expanding request of making the streets more secure has persuaded a ton of organizations to create finest autonomous vehicles. This paper will concentrate on the potential outcomes of utilizing just light-sensing gadgets alone for the light tracking bot using advanced color detection algorithm. The algorithm would help the bot in sensing the color of light and act accordingly, for instance green color to proceed, red color to stop. This particular requisition has high scope in real time application over the emergent underground transportation system; speculating on how the emerging innovative advances fit to the fiddle urban areas of the 21st century. 2020, Springer Nature Switzerland AG. -
Creativity Education in India: Breaking Barriers
Classrooms in India are posed with challenges of rigid curriculum demands, lack of resources, large class sizes and very often low motivation levels among teachers. Add to that poor teacher training facilities. Given the constraints, the pursuit of encouraging creativity education in the Indian schooling system seems like a tall order. The aim of this chapter is to explore the scope for creative learning and expression in Indian classrooms. The purpose is also to search for education models that facilitate and encourage creativity amongst children by adapting the curriculum to their advantage and operate within the constraints imposed by systemic drawbacks. The chapter searches for a coherent, pragmatic definition of creativity among practitioners and pedagogues with the rationale of identifying workable solutions for dissemination of creativity education in Indian classrooms. The methodology entails conversations and interviews with teachers, curriculum planners and pedagogues representing different education models and schooling systems in India. A case-study design approach is assumed to present programs that are successfully implementing practices which encourage creativity learning among their students. An attempt is made to highlight the philosophical beliefs that underlie adoption of such practices as well as to document the challenges and demands that such an endeavour imposes on the system. The chapter therefore, provides an optimistic view of the future of out of the box learning not only in the Indian classrooms but also makes a case for all education systems stifled by curriculum constraints and lack of resources. Inter-Disciplinary Press 2012. -
Climate Risks in an Unequal Society: The Question of Climate Justice in India
Over the past few decades, India has witnessed the brunt of climate change impacts in multiple dimensions. Notably, recent years' experiences prove that there has been a substantial increase in the intensity, frequency, and duration of climate-related risks and extreme events, resulting in an acceleration of the nexus between climate change and inequities. Despite the growing advancements of socioeconomic research on current and future climate change risks in India, the explorations through the lens of legal perspectives are still limited and have not met the demands. This chapter argues for rethinking legal perspectives of climate justice in India by drawing insights from two recent climate extreme events. To begin with, this chapter briefly reviews the historical background of the global actions to combat climate inequities and injustices and identifies the ways in which climate injustices perpetuate. For this, it adopts three main principles of climate justice, consisting of equity, a rights-based approach, and sustainability. Following this, it discusses India's climate policy and the existing institutional framework and actions to respond to climate change at the national and state levels. Then, by focusing on the climate change impacts on India, it introduces two recent climate-related risk events in India, and it discusses the unequal structuration of climate risks and the resulting more vulnerable and precarious situation of the marginal sections of the society that already faces multiple social injustices of Indian society. At the end of the cases, it briefly offers a critique of the climate change action plans of the respective states. This chapter concludes by outlining a few strategies to create a more sustainable and equitable approach toward climate governance and justice by strengthening the legal and institutional dispensations of the climate regime in India. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.