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The integration of servicelearning andragogy for achieving learning outcomes and cultivating 21st century skills in the commerce domain
The educational landscape has rapidly transformed to address the growing complexities, uncertainties, and ambiguities in the world. Modern education requires teachers to impart knowledge and skills that empower students for life and societal contributions. Education systems have shifted from independent entities to integral components of larger ecosystems, as per the OECD Learning Compass 2030. Students are expected to acquire 21st-century skills, which include learning and innovation skills, life and career skills, and social and ICT skills. In commerce education, service learning is pivotal, allowing the practical application of theoretical knowledge. This engagement with both theory and practice enhances understanding. The proposed chapter outlines service-learning activities by commerce education institutions, reinforcing academic knowledge and community engagement. It advocates for adopting a service-learning andragogic approach, emphasizing the integration of theory and practice in commerce education. 2024, IGI Global. All rights reserved. -
Is there a Broad-Basing process in the Indian economy?
Chapter 8 is by Malini L. Tantri and Shruthi Mohan Menon. They answer the title question, Is There a Broad-Basing Process in the Indian Economy?' with the help of three criteria: food security, poverty and unemployment. Though economic growth in terms of GDP has been significant in the last two decades, the achievements on the fronts of food security, poverty reduction and employment growth have not been equally impressive. The states which have high levels of poverty are showing a slower decline in poverty. The number of the poor is declining, though still high. Employment growth is taking place mainly in the non-farm sector, but it is in the farm sector where there is a crisis. Even within the non-farm sector, informal employment is increasing more than the formal. Thus a large portion of the workforce - in agriculture and also non-farm sector - does not have job security, paid sick leave, medical reimbursement and retirement benefits. Economic growth has not yet brought the marginalised into the mainstream of the advantaged. The authors recommend greater stress on employment generation, skill creation, a boost to education and health sectors ensuring benefits to the marginalised, and a massive push to the village economy. 2020 selection and editorial matter, M. V. Nadkarni. -
THAYIL, JEET (1959-)
[No abstract available] -
EM AND THE BIG HOOM by Jerry Pinto
[No abstract available] -
RAO, R. RAJ (1955-)
[No abstract available] -
DELHI: A NOVEL by Khushwant Singh
[No abstract available] -
Female masculinities and women of third nature: Analyzing the gender and sexual politics of identity and visibility of alternative masculinities through indian mythologies and literary narratives
Alternative sexualities have been a part of the Indian past since time immemorial, and mention of them is often visible in Sanskrit mythological texts. As much as the presence of hijras and other gendered cultural identities is in Indian and Western public discourses, there is a narrow space occupied by women of the third kind with female masculinities, with scant attention leading to the higher invisibility of women of the third kind. Female masculinity is often considered a "rejected shred, " while male masculinity is seen as real and heroic. This chapter focuses on "masculinity without men" to explore alternative masculinities-the concept popularized by Judith Halberstam (Judith Halberstam, Female Masculinity. Zubaan Books, New Delhi, 1998). We delve into the politics of alternative modes of enactment and production where male masculinity is embedded. This chapter centers on female masculinity and alternative forms of masculinities performed, enacted, and embodied by female individuals as reflected in the Indian past and mythology. This chapter further delves into identifying histories and representations of female masculinities in Indian literature to bring female masculinities and women of the third kind into academic discourse. Springer Nature Switzerland AG 2022. All rights reserved. -
Gaze and Queer Autonomy? Representations and Possibilities on New Visual Media Landscapes in the Indian Context
Representations of sexuality in Indian mainstream cinema tend to reinforce sexual differences, imbalances, and certain stereotypes that put queer identities in a disadvantageous position. The shift and transition from the monopoly of the state to an era of popular forms of entertainment enabled the centrality of debates on representations and sexuality. The study examines the representations of queerness that flourished on new visual media landscapes such as the OTT platforms Netflix and Amazon Prime Video that engaged in a new dialogue on queer representations and possibilities. The study attempts to analyze Super Deluxe (2019), Made in Heaven (2019) and Ajeeb Daastans (2021), as they become the representative form of cinema that marked the shift and engaged in a new dialogue on queer representations and possibilities. The study reads queer representation in light of the frameworks of gaze and homophyly to understand why they might offer different opportunities for representation and gaze. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Computer-based Intelligence and Security
There is a massive increase in the incidence of cyberattacks day by day in the modern enterprise environment. Although humans are behind this task due to the rapid growth in the incidence human intervention is unable to control this. Therefore, something more than human intervention is required to have a check over it. With cyberattacks evolving at a rapid pace and with the increase in the use of devices in todays world, Artificial Intelligence (AI) and Machine Learning (ML) can help to have a check over cybercrime incidences, automate the process of detection of threat, and handle these in a better way as compared to the conventional methods used for controlling cybercrime and cyberattack. AI and ML has shown good results in data information security as these technologies are capable of analyzing a large and wide variety of data and can track threats related to cyberattacks that may cause phishing attacks. As these technologies are capable of learning and improving from past experiences, they can even predict and tell the new variety of attacks that may occur in the coming days. This chapter describes the use of AI in controlling cyberattacks and cybercrime and the expert views on this matter. 2024 selection and editorial matter, S. Vijayalakshmi, P. Durgadevi, Lija Jacob, Balamurugan Balusamy, and Parma Nand; individual chapters, the contributors. -
A Reversible Hybrid Architecture forMultilayer Memory Cell inQuantum-Dot Cellular Automata withMinimized Area andLess Delay
CMOS innovation shows limited features when diminishing the size and region of a circuit. The burden of such a technology incorporates higher force utilization and also shows some temperature issues. Quantum-Dot Cell Automata is another innovation which is useful to defeat any of its weaknesses. The reversible rationale is innovation used to diminish the force misfortune in QCA. QCAs are utilized to plan recollections requiring a high working rate. In the following research, construction of reversible memory is proposed in QCA. It is designed by using a 3-layer innovation that altogether has an effect on the decreased size of the circuit. The reversible memory proposed here has 61% increase in cell number, with a 74% enhancement in the territory inhabitance, and 59% decrease in delay contrasted with any previous optimal designs. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Effect of Mindfulness Based Dialectical Behavioral Therapy (MBDBT) Training on it Employees: An Intervention Based Approach
Mindfulness Based Dialectical Behavioral Therapy (MBDBT) is a recent advancement in mindfulness-based interventions, focusing on helping clients observe their experiences, describe them using verbal labels, and be fully present in the moment and their actions without self-consciousness. This study investigated the effectiveness of MBDBT training on young employees using a mixed-method approach. The research was conducted on a sample of 10 newly joined IT employees in Bangalore, aged 25-30 years, over a 6-week period. The methodology included regular interviews for MBDBT skill training and standardized assessments measuring perceived stress, mindfulness, emotion regulation, and general self-confidence. Assessments were conducted at pre-, mid-, post-, and one-month follow-up sessions. The findings indicate that MBDBT has a significant effect on enhancing mindfulness and cognitive reappraisal while reducing expressive suppression with practice. These results suggest potential benefits of implementing MBDBT training programs for young professionals in the IT sector, with implications for improving their mental well-being and work performance. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
Pandemic Resilient Organizational Behaviour: From the Lens of Stakeholder and Legitimacy Theory
The Covid-19 pandemic spread on global map with unprecedented speed and created an environment of uncertainty, anxiety and disruption. India, being a densely populated country, had been looked upon with apprehension and later on with great admiration in controlling and managing the pandemic and its devastating effect. The study has built a thematic model for short-term and long-term pandemic resilient organizational practices based on stakeholder and legitimacy theory, which focuses on aligning business with societal values and stakeholder expectations. The foci have been stakeholder groups of employees, customers, suppliers and community. Sustainability reports of selected Indian companies based on GRI standards for FY from 2019 to 2022 are then scored based on the developed model. Further analysis explored changes in risk reporting framework in pandemic and post pandemic. The thematic coverage in sustainability reports for employees and community found a prominent place emphasizing the importance of these groups. The thematic disclosures for suppliers are the least disclosed, indicating areas for improvement in the business practices. Based on this thematic model, suggestions are also made for additional disclosure indicators in the GRI framework for stakeholder group of suppliers and customers. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Neuroscience of social understanding
Comprehending human behavior and interactions requires an understanding of the social mind. Social cognitive neuroscience provides a lens to understand these complexities. This chapter explores the core brain mechanisms that control social conduct by exploring the field of social cognitive neuroscience. It examines aspects of social cognition, like the theory of mind, social perception, empathy, and decisionmaking. It explains how the brain helps navigate complex social contexts by looking at complex interactions between neurological processes and social behaviors. Important subjects include the function of the mirror neuron system, temporoparietal junction and prefrontal cortex in mediating social cognition. It discusses the implications of social cognitive neuroscience for understanding diseases such as schizophrenia and autism spectrum disorder, which are characterized by social deficiencies. Through this research, we learn about the social mind and its brain foundations, and it opens the door to novel interventions that improve interpersonal relationships and social well-being. 2024 by IGI Global. All rights reserved. -
Exploring the top ChatGPT libraries for powerful conversational AI
This research analyzes the need for top ChatGPT libraries and their usage today. It focuses on the features, benefits, and drawbacks of ChatGPT through in-depth interviews to uncover nuanced insights into library preferences and usage patterns. The findings reveal diverse perspectives among developers, highlighting preferences for libraries based on ease of integration and customization. Participants emphasize the significance of user-friendly interfaces and robust documentation in shaping positive experiences with ChatGPT libraries. Additionally, themes emerge around the need for continuous updates to address evolving AI challenges. Through in-depth insights from developers, the study elucidates the importance of user-friendly interfaces, adaptability, and efficient documentation, providing valuable guidance for developers seeking to optimize their conversational AI projects. This research contributes essential qualitative dimensions to the evaluation of ChatGPT libraries, offering actionable insights for the development community. 2024, IGI Global. All rights reserved. -
Impact of data centers on power consumption, climate change, and sustainability
The data-driven economy is transforming with data centers becoming a crucial business infrastructure. However, the increasing reliance on data centers is posing a threat to the environment. Climate change activists are focusing on reducing emissions from sectors like automotive, aviation, and energy. Data centers consume more electricity than the UK, accounting for 3% of global electricity supply and 2% of total greenhouse gas emissions. By 2040, digital data storage is projected to contribute to 14% of the world's emissions. The number of data centers worldwide has surged from 500,000 in 2012 to over 8 million, with energy consumption doubling every four years. The rise in internet penetration rates and the introduction of 5G technologies and IoT devices will further exacerbate the issue, increasing the demand for data processing. 2024, IGI Global. -
A Novel Hybrid Model for Time Series Forecasting Using Artificial Neural Network and Autoregressive Integrated Moving Average Models
Enhancing forecast accuracy while using time series is a potential area of research. Evidences exist in the literature to show that hybrid models can significantly improve the forecasting performance, as they combine the exclusive strengths of different models. This paper presents a novel hybrid model by combining forecasts from Autoregressive Integrated Moving Average (ARIMA) and artificial neural network (ANN) models with suitable weights, thereby improving the forecast accuracy. The methodology employs appropriate error metrics to construct the weights. The paper further demonstrates the efficiency of the proposed methodology through an empirical study, based on two real-world time series data sets. Thus, the new methodology can be used for enhancing the forecast accuracy in a number of fields of research. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Exploring ARIMA Models with Interacted Lagged Variables for Forecasting
Including interactions among the explanatory variables in regression models is a common phenomenon. However, including interactions existing among lagged variables in autoregressive models has not been explored so far. In this paper, Autoregressive Integrated Moving Average (ARIMA) model with interactions among the lagged variables is proposed for improving forecast accuracy. The methodology for identifying the interacted lagged variables and including them in the ARIMA model is suggested. Using five different data sets of different types, the paper explores the effect of interacted lagged variables in ARIMA model. The experimental results exhibit that when interactions do actually exist, ARIMA model with interactions improves the forecast accuracy as compared to ARIMA model without interactions. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Exploring the impact of psychological biases on financial investment decisions and the role of digital financial literacy
This chapter explores biases impacting stock and mutual fund investments-cognitive, affective, and behavioral. It examines digital financial literacy (DFL), highlighting social media's role in information sharing. Stressing the merging financial and digital literacies, it addresses risks in online financial behavior. Discussions cover DFL measures, online activities' correlation, and biases in decision-making. Recognizing uncertainty in the digital era is crucial for informed financial decisions amidst evolving landscapes. 2024, IGI Global. All rights reserved. -
Developments in Feeds in Aquaculture Sector: Contemporary Aspects
Aquaculture, one of the largest protein food generating sectors, greatly relies on nutrition. Up to the present time, the dependency of the aqua feed sector on fish meal and fish oil as protein and lipid sources, respectively, was too high, which led to its inadequacy and over-exploitation of marine resources. Recently, numerous researches with locally available feed ingredients have been accomplished. There is urgency for a move from fish meal to plant/terrestrial animal/microbial proteins within the aquaculture industry as over-exploitation of wild fishes has negative ecological consequences. Plant proteins cannot successfully replace fish meal due to poor protein digestibility and essential amino acids imbalance, urging feed concerns to search for cheaper and nutritious fish meal alternatives from animal origin. In order to overcome the indiscriminate use of antimicrobial drugs, the concept of probiotics in aquaculture has received firm encouragement in recent years due to their wise inhibitory mechanisms and safeness. Negative perception for synthetic antioxidants among fish farmers and their unreliable nature has resulted in the research for non-synthetic, food derived antioxidants that could encounter and neutralize the detrimental effects of free radicals. In line with this, there is a strong captivation to research on the individual or synergistic effects of protein hydrolysates, peptide fragments, and free amino acids that could innately exhibit antioxidative activity. Commercialization of economical feeds with antioxidative feed ingredients could strengthen the profits of feed processors. Recent development in the aquaculture sector propelled by the application of biotechnological methods has clearly highlighted the need for development of functional feeds through incorporation of bioactive molecules. In the last few decades, the global aqua feed industry has witnessed milestones in the development of feed ingredients from waste raw materials and sustainable alternatives to antibiotics and chemicals used to tackle the disease outbreak in aquaculture. As the health and immunity of fishes primarily depend on their nutritional pattern, a great research interest is extended on incorporation of biomolecules like single-cell proteins, animal proteins, plant metabolites, biopolymers, and enzymes as feed ingredients to enhance the nutritive quality and immune tolerance in fishes. Besides the focus on the feed ingredients, the modification and development of fermentation strategies for producing probioticbased feed and enzyme-assisted bioconversion into valuable feed ingredients is also gaining more importance. This chapter deals with the recent development in the aqua feed industry with specific reference to the incorporation of non-conventional feed ingredients like animal/microbial proteins, biopolymers, enzymes, and other immunostimulatory compounds in aqua feed and their impact analysis in improving the growth profile and pathogen tolerance in fishes. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
Use of waste foundry sand in precast concrete paver blocksa study with belgaum foundry industry
The current study was undertaken at CHRIST (Deemed to be University) in Bangalore to investigate the potential of using waste sand from Belgaum foundries as fine aggregate in the production of precast concrete paver blocks. Concrete paver blocks were manufactured as per the recommendations of IS 15658:2006. M-35 grade of concrete with block thickness of 60mm was considered as the design parameter. Waste Foundry Sand (WFS) and ground-Granulated Blast Furnace Slag (GGBS) were replaced for manufactured sand and cement, respectively. WFS replacement rates were 15, 30, and 45% by weight of the manufactured sand, and that of GGBS was 30% constant by weight of cement. Obligatory performance tests were conducted as per Indian standards, which included compressive strength, water absorption, and abrasion resistance. Accordingly, paver blocks with 45% WFS showed satisfactory results and can be considered into non-traffic to light-traffic category, which finds application in places like building and monument premises, paths and patios, landscapes, public gardens, and parks. Cost comparison of conventional paver blocks with WFS paver blocks showed approximately 4.8% reduction in the cost of paver blocks containing 45% WFS. Springer Nature Singapore Pte Ltd 2020.