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Synthesis, Structure, and Physical Properties of Bulk MoS2
With the discovery of graphene by Novoselov and Geim in 2004, two-dimensional (2D) materials have been extensively researched due to their bizarre promise in the fields of electronics, optics, medical, mechanics, energy conversion, and storage. Especially, 2D-layered materials consisting of atomic sheets stacked together by weak van der Waal forces have received intriguing research interest in recent years. Cutting-edge 2D materials being investigated by researchers include 2D oxides (V2O5, MoO3, LixCoO2), topological insulators (Bi2Se3, Bi2Te3, HfBr), nitrides (h-BN, MoN, Ti4N3Tx, W2N, V2N), carbides (Ti3C2, Ta4AlC3), and transition-metal dichalcogenides (MoS2, WS2). Research has proved that these materials could counterpart graphene in a variety of fields and applications. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
The Need for Food Security Under a Changing Climate Scenario
The global community has observed the escalating effects of climate change on several facets of human existence, with food security emerging as a particularly crucial issue. Climate change causes an alteration in the geographical distribution and population dynamics of pests and illnesses. Elevated temperatures and modified precipitation patterns are advantageous for developing pests and disseminating agricultural diseases, leading to diminished yields and heightened crop losses. This text examines the pressing necessity for ensuring food security in a changing climate scenario. This study comprehensively examines the difficulties and possibilities climate change poses in attaining sustainable food security, specifically in developing nations. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Traditional Food Systems in the Indian Himalayas Perspectives from Climate Science
The Indian Himalayas have various crops and livestock that have sustained local communities for generations. Nonetheless, multiple factors, such as climate change, threaten these conventional agricultural systems. This chapter examines the climate science perspectives on traditional farming systems in the Indian Himalayas. It overviews the regions agricultural systems, including cultivated cereals and domesticated animals. The work also examines the effects of climate change on traditional farming systems, including temperature fluctuations. Extreme weather events are becoming more frequent, and precipitation patterns are changing. This passage highlights the significance of traditional knowledge in coping with climate change. It emphasizes the importance of utilizing integrated approaches that merge traditional knowledge with climate science to ensure the sustainability and resilience of conventional agricultural systems in the Indian Himalayas. We require a pragmatic strategy to address the issue of climate change and safeguard the regions agriculture. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Neuro-Leadership: A New Paradigm in Leadership Thought
Leadership is not a static occurrence. It is a dynamic one that constantly evolves. Leadership is seen as a means to enhance ones personal, professional, and social lives. Organizations believe that leaders bring in unique assets to the organization; which contribute to the bottom line of the company. The conclusions drawn from research findings on leadership portray an image of a process that is far more sophisticated and complex than the condensed view, popularly accepted. This chapter will provide a comprehensive evaluation of different approaches to leadership and highlight the importance of a new paradigm. Ground breaking insights have started to surface regarding neurosciences and brain functioning that has significantly influenced leadership thought. The traditional approaches of leadership could not adapt to the world of unlimited information which needed continuous evolution; however, our brain can adapt and change leading to the emergence of neuro-leadership. The chapter will trace the journey of neuroleadership and its increasing relevance in the current scenario, especially in terms of employee and organization performance. 2024 by Nova Science Publishers, Inc. -
Understanding the House Money Effect: A Systematic Review
The house money effect is the tendency of individuals to exhibit risk-seeking behavior after a prior gain. Individuals differentiate their perceived gains with own money. This behavioral bias influences human behavior in future decision-making. This review examines the implications of the house money effect on an individual investors financial decision-making. Our study adopts a systematic review approach to understand and extensively synthesize the existing literature. The study considered 34 articles from the Scopus database. The study provides an overview of the literature regarding theories, methodology, research opportunities, and developments in the house money effect. The study points out the situational factors influencing the house money effect and the association of the bias with other behavioral biases. This review identifies the gaps in the literature and provides directions for future research to deepen the understanding of the effect of house money on individual investors. This study builds a strong framework for future research. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Investigation into the Mechanical, Fatigue and Superplastic Characteristics of Shape Memory Alloys (SMA) in CuAlMn, CuAlBeMn, and CuAlFeMn Compositions and Their Composite Variants
Shape memory alloys (SMAs) exhibit high sensitivity to compositional changes in terms of their super elasticity, shape memory effect, and transition temperatures. A deeper comprehension of SMA composition and its impact on mechanical properties can be attained by differential scanning calorimetry. The current study uses experimental work to assess the energy absorption capacity, mean fracture width, residual strength, and cracking strength of samples made of short shape memory alloy (SMA) fibers that are randomly distributed on the specimens tensile side. In this investigation, three samples were synthesized based on the Cu, Al, and Mn proportions found in CuAlMn shape memory alloys (SMA1, SMA2, and SMA3). Moreover, three samples with different ratios of Cu, Al, Mn, Be, and Fe were synthesized for the shape memory alloys CuAlBeMn and CuAlFeMn (SMA2, and SMA3). The synthesized CuAlMn, CuAlBeMn, and CuAlFeMn SMA alloys showed good strain recovery, ranging from 90 to 95%. The martensite that forms and changes when the alloys are heated and quenched mostly controls the strain recovery by the corresponding SMAs. SMA 2 of the CuAlBeMn has a greater strain recovery rate, rising by 8.5% and 44.38%, respectively, in comparison to SMA 1 and SMA 3. CuAlBiMn shape memory alloys demonstrated superior super elasticity and martensite stability in comparison to SMA 1 and SMA 2 respectively. SMA 1 and SMA 2 demonstrated greater residual strength, cracking strength, and energy absorption capacity for all fiber volume fractions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Smart City Governance and Citizen Engagement
The smart city idea has been put into practice in numerous nations as a response to urban issues. With the ultimate goal of improving quality of life and well-being, smart cities are more and more eager to engage in fruitful dialogue with their residents, better understand their demands, and develop digital platforms for inciting collaborative initiatives between authorities and people. Prior researches have noted challenges with execution and the importance of smart citizens as key components of a smart city. Using an internet-based social platform, this project intends to learn more about how smart cities are implemented and how citizens are involved. Smart city development should be modified to account for local conditions. Local expertise, transformative leadership, sustainability, and political content are the key success criteria for the implementation. Through an online social network, city residents have been participating in the implementation of the smart city. In order to make sure that city citizens are motivated to address the citys challenges, a sort of incentive structure remains necessary. Previous research efforts were conducted in an effort to measure the projects effectiveness by achieving benefits. The people of that country are the end users of public infrastructure projects. Nevertheless, communities all throughout the world have struggled to achieve genuine citizen engagement. This component of citizen engagement has been highlighted as a crucial goal to be accomplished. This chapter examines the role of AI in citizen engagement and participation in the smart city implementation. The chapter also intends to analyse the relevant research works to examine the trends in smart city governance and AI. This study will provide also insights into emerging issues and challenges. 2025 selection and editorial matter Pawan Whig, Pavika Sharma, Nagender Aneja, Ahmed A. Elngar and Nuno Silva; individual chapters, the contributors. -
Navigating the Future of Intelligent and Smart Manufacturing A Comprehensive Bibliometric Analysis (2012-2024)
Intelligent and smart manufacturing is at the forefront of a digital revolution in the manufacturing industry. This chapter reveals how key technologies have developed and converged during the period 2012-2024 by analysing 1046 articles from the Web of Science database. Literature was compiled into ten distinct clusters: Convolutional Neural Networks (CNN), Technologies, Internet of Things (IoT), Services (Applications), Gateway, Industry 4.0, Heuristic, Cutting Force, Remote Maintenance, and Fabrication. Each cluster is measured by its degree, modularity, density, citation analysis metrics and help in predicting the impact and about their interrelations in research within these domains. Further, the major focus is on Industry 4.0 principles and the evolving research landscape that promptly helps in findings and the rapid adoption of advanced computational methods. With this analysis, the most influential authors, articles, and journals will provide insight for building collaborative networks and intelligent manufacturings intellectual structure. This study nonetheless delivers an overview of previously published research; in addition, it also illustrates trends and openings that provide a significant underpinning to support subsequent academic endeavours and their application in practice. 2025 selection and editorial matter, Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat individual chapters, the contributors. -
Developing a Model of Content Marketing in Creative Economy Marketing Strategies to Influence Consumer Purchase Intentions
The creative economy, which is a cluster of industries encompassing arts and crafts, audio and video, visual arts, architecture, performing arts, fashion, design, and so on, building on human creativity, knowledge, and technology, is to be given more precedence in the Indian economy. This work aims at building a model that can act as a foundation to promote the creative economys performance by keeping marketing function as the key component to success. The model contemplates what factors of content marketing activities have to be prioritized so as to help a creative business unit increase its visibility and impact the attention of consumers. This study classifies the model into two components. Component 1: creative business unit model and Component 2 of the content marketing strategy model. As the model is a working model and is not proven empirically, it can be further used by researchers and marketers for advanced research and development. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Secured Health Insurance Management
Many Low- and Middle-Income Countries (LMICs) have expanded their healthcare coverage over the past decade thanks to reforms and investments motivated by Universal Health Coverage (UHC). UHC strives to guarantee that all individuals have access to high-quality healthcare, protecting them from public health hazards and financial hardship caused by the need to treat sick family members. With UHC as its end objective, this study examines health insurances function as a policy instrument to address health funding. Here, researchers study the laws to ensure that all Indians have access to health care and how technology facilitates quicker participation in health insurance programs. The data was collected between August and October of 2022. The study was designed as a cross-sectional case study: (i) the research on the effects of UHC, (ii) documents about Indias health insurance systems (HIS), and (iii) a discussion of the benefits and challenges of using MedStrat, a homegrown digital Health Insurance Management System (HIMS), to run health insurance programs across different states in India. Data from research and document evaluations, as well as health insurance statistics, were triangulated with modern technology adoption models to determine (i) factors that influence the rate at which digital insurance plans are adopted, (ii) the effect of technology on increasing peoples access to health insurance; and (iii) the potential for the digital insurance intervention to be scaled further. Digital insurance administration systems can increase insurance enrolment, especially among low-income households. There are three enabling contexts for digital insurance plan adoption: supportive regulation, public-private partnerships, and ongoing stakeholder contact and education. There are three essential requirements for digital health insurance programs to be widely adopted in India and other similar situations. (i) user-friendliness; (ii) an established network for digital insurance policies; and (iii) confidence, which may be shown through measures like encrypted data storage, complete audit trails, and built-in fraud protection. Our results prove that digital health technologies hold great promise for achieving UHC in LMICs. 2024 Scrivener Publishing LLC. -
#MeToo and Times Up: Slippage of Facework in Malayalam Cinema and Industry
#MeToo and Times Up movements, the collective voice of trauma, solidarity and resistance appropriated world over, impacted India a decade since its inception. In the globalised Indian space, the movements evolved/were transplanted in different realms, lashing against democracys tacit silence. Finding resonance in the Indian cinema industry, many women articulated their trauma and protest in a fraternity, broadminded in spirit, patriarchal at heart. An evolutionary reading of #MeToo and Times Up movements as independent/extension of its predecessor with distinctive focus on Malayalam cinema and industry foregrounds riveting issues. Malayalam cinema industry, a case in point is popular for its projected broadminded outlook through films. Discursive readings unravel the inconsistencies and pluralistic divergent voices in this progressive industry, challenging its liberal positioning. With the tag of an industry receptive to ambient changes, how does its films become reflective or mutually inclusive? How does the industrys facework feed into the apparently challenging onscreen representations vis-a-vis the offscreen power hierarchies? Who delineates the boundary-work within the industry and cinema? A complementary reading of the onscreen versus offscreen negotiations problematises the gendered relationships, sexual economies, collective consciousness structured along multiple tangents. Understanding the ongoing confrontation between artistes associations like Association of Malayalam Movie Artistes (AMMA) and Womens Collective in Cinema, negotiation of inclusivity and extension of solidarity, together with the appropriations and assimilations have opened an alternative space to examine the grey areas dotting the silver screen. 2025 selection and editorial matter, Aysha Viswamohan; individual chapters, the contributors. All rights reserved. -
AI in IA: Impact of Artificial Intelligence in Internal Audit: A Qualitative Study
Internal auditing is becoming more crucial as businesses become more complex and extensive. Artificial intelligence (AI) in internal auditing is a trend change that promises to revolutionize how internal auditing functions are performed and delivered through significant improvements in audit quality and operational discipline. This paper reflects on many of the multifaceted impacts of AI on internal auditing functions. This paper intends to investigate how this AI will impact the audit profession. By interviewing ten individual internal audit experts qualitatively, the study shows that AIs implementation will impact the following six critical levels. AI makes it possible for an auditor to (1) spend less time and make the audit more productive, (2) increase coverage, (3) real-time auditing, (4) enhance decision-making, (5) risk assessment and management, and (6) create new advisory services. The findings thus imply a need for a well-defined and consistent audit structure that is flexible enough for auditors to improve their audits. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Surviving Under Stress: Exploring Zea mays Adaptive Responses to Cadmium Toxicity and Mitigation StrategiesA Review
Cadmium (Cd) toxicity poses a significant threat to Zea mays, disrupting its normal physiological functions and metabolic processes. This chapter summarises current studies on the sources of contamination, Cd intake mechanisms, and the effect of Cd toxicity on critical physiological systems in maize. It then thoroughly investigates Zea mays physiological and adaptive responses to Cd toxicity. The section outlines how Cd inhibits vital metabolic processes, such as photosynthesis and the absorption of nutrients uptake in maize plants, leading to a reduction in biomass, yield, and growth. The adverse impacts on plant growth and development are amplified by anatomical changes brought on by Cd exposure, such as modifications to the roots and leaves. Furthermore, a thorough examination of biochemical modifications is conducted, such as adjustments to protein composition, glucose metabolism, and amino acid levels. The chapter additionally examines how enzymatic activity responds to Cd stress, focusing on modifications in the activity of enzymes involved in antioxidants and metabolism. Under the influence of Cd toxicity, maize plants display a range of intricate adaptive responses. These include upregulation of genes linked to the production of ethylene and the synthesis of peptides that bind metals, such as phytochelatins. The study covers the effectiveness of several mitigation techniques employed to reduce Cd accumulation and improve Cd tolerance in maize crops. These techniques include microbial remediation, phytohormone administration, biostimulant treatments, and designed nanoparticles and mineral ions. With everything considered, this chapter offers insightful information about Zea mays physiological and adaptive responses to endure and mitigate the impact of cadmium toxicity. To ensure sustainable maize production and food security in areas polluted by Cd, it is essential to understand these mechanisms and create appropriate mitigation techniques. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Drones for Crop Monitoring and Analysis
Drones are becoming a vital tool for crop monitoring and analysis in contemporary agriculture. With the use of sophisticated sensors, these unmanned aerial vehicles (UAVs) can gather high-resolution pictures and data, giving farmers real-time insights into the growth and health of their crops. Thanks to technological advancements, drones can now more reliably and effectively collect a variety of data points than previous techniques, including plant health, moisture levels, and insect infestations. Drones are a useful tool for crop monitoring because they enable farmers to identify problems early on, such as nutrient deficits, water stress, and disease outbreaks, and take prompt action to optimize yields and avoid losses. Drones can also swiftly and affordably cover vast tracts of agriculture, giving a thorough picture of crop conditions. Farmers may use the information that drones gather to make educated decisions by choices about fertilization plans, pest control techniques, and irrigation schedules, eventually enhancing crop sustainability and output. Drone technology is projected to play an increasingly bigger role in agriculture as it develops, completely changing how farmers monitor and assess their crops. (Publisher name) (publishing year) all right reserved. -
Leveraging FinTech for the Advancement of Circular Economy
During the past six decades, there has been a lot of emphasis on increasing production and fulfilling the demands of the fast-growing population. As a result, there has been unprecedented utilization and depletion of natural resources and harm to the environment. It was rightly realized by government and policymakers that there is an indispensable need to align economic development with the environment. In other words, the world needs to pursue environmentally friendly economic development. In order to achieve sustainable development, the thought leaders devised a new approach called circular economy. The circular economy focuses on reusing and recycling materials to reduce the consumption of natural resources and minimize waste creation. In recent years, financial technology commonly known as FinTech has become a significant part of commercial activities across many industries. FinTech has benefited organizations and users in terms of cost and time saving with a high degree of reliability. This article outlines the ways in which FinTech supports the cause of a circular economy. It also explores the impediments in this path. 2024 Scrivener Publishing LLC. -
Green Minds, Green Future: Impact of Environmental Education on Students Attitudes and Intentions
The objective of this research is to examine the effect of environmental education on green behavior mediated through environmental awareness, environmental attitude, and behavioral intentions, as mediating variables. The sample population comprised of the students of various universities of Delhi, National Capital Region (NCR), as this region of the country has the highest level of environmental pollution and therefore it is the most appropriate population for this study. One thousand questionnaires were shared among students of Delhi, NCR via Google Form out of which 689 responses were received and analyzed using structural equation modeling (SEM). The results exhibited the association between environmental education and green behavior which was significantly mediated by awareness, attitude, and behavioral intention. The findings of the study have implications for both research and practice. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Exploring AI and ML Strategies for Crop Health Monitoring and Management
This chapter offers a thorough examination of machine learning (ML) and artificial intelligence (AI) approaches designed especially for agricultural crop health monitoring. The story starts with a basic introduction to AI and ML ideas and then covers supervised and unsupervised learning approaches, the fundamentals of reinforcement learning, and the significance of high-quality data preparation in agricultural settings. This chapter explores the use of deep learning architectures and neural networks, explaining how they can be used to simulate human brain activity and how they can be used in picture identification to identify crop diseases. A detailed analysis is conducted of the practical aspects of ML for agriculture, encompassing feature engineering and model assessment methodologies. Additionally, the chapter highlights the ethical issues involved in the proper application of AI/ML models in agricultural contexts. These kinds of applications. In conclusion, the chapter discusses obstacles, offers predictions for future developments, and discusses new lines of inquiry for AI and ML research related to crop health monitoring. Through this thorough research, the chapter seeks to offer insightful information on the transformative potential of AI/ML approaches in supporting efficient and sustainable agriculture practices for improved crop health management. (Publisher name) (publishing year) all right reserved. -
Synthesis methods of chitosan nanoparticles: A review
Biopolymeric nanoparticles are found to be very effective in potential applications in different fields, especially in biomedical field. Chitosan nanoparticles (CSNPs) are one of those kind of nanoparticle with great research potential owing to its nontoxicity, biodegradability, and high permeability. The extraction of chitosan biopolymer and the production of CSNPs are both vibrant research areas. Emulsification, complexing, phase inversion etc. are the conventional synthesis methods; new synthesis methods are being developed to overcome the disadvantages of traditional approaches. Here we provide a glimpse into the methodological and mechanistic underpinnings of the synthesis methods of CSNPs. This chapter provides a complete overview of the synthesis methods used for the production of CSNPs, their benefits, drawbacks, and obstacles, as well as their future prospects. 2025 Elsevier Ltd. All rights reserved. -
Nifty index: Integrating deep learning models for future predictions and investments
The Indian stock market, led by the NSE and BSE, has witnessed remarkable growth, exemplified by the NIFTY 50 index surpassing INR 176 trillion in market capitalization. Post the transformative New Economic Policy reforms in 1991, the market underwent significant expansion due to increased accessibility. This chapter focuses on predicting Nifty index prices for the upcoming 10-day period, aiming to provide valuable insights for investment decisions. Despite the markets inherent complexity, exacerbated by various factors like economic conditions and investor sentiment, the objective of the research study is clear: to boost profitability, mitigate risk, and safeguard traders capital. Leveraging Long Short-Term Memory (LSTM) and Vector Autoregression (VAR) models, the research study rigorously evaluates prediction accuracy using the Root Mean Square Error (RMSE) metric. The study underscores the potential of deep learning techniques in achieving reasonable accuracy, especially for short-term forecasts, while acknowledging the markets inherent unpredictability. Notably, the findings demonstrate that the LSTM model excels in predicting Nifty Bank prices, with an impressive RMSE score of 242.55 compared to VAR models. Furthermore, optimal data splitting, at an 8:2 ratio, significantly enhances prediction accuracy across all models, emphasizing the critical role of high-quality data in training. In conclusion, this study unequivocally recommends LSTM as the preferred model for Nifty index price prediction, providing practitioners with a robust tool to navigate the complexities of the Indian stock market with enhanced precision and confidence. 2025 selection and editorial matter, Vivek S. Sharma, Shubham Mahajan, Anand Nayyar and Amit Kant Pandit; 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.