Browse Items (2832 total)
Sort by:
-
AI and Big Data Analytics for Management of Nutraceuticals
This chapter explores the transformative impact of artificial intelligence (AI) and Big Data Analytics on nutraceutical management. As consumer demand for health-focused products such as supplements, functional foods, and herbal extracts grows, ensuring quality, safety, regulatory compliance, and personalization remains challenging. AI enhances formulation and quality assurance through predictive modeling and computer vision, while analyzing individual health data for personalized nutrition. Concurrently, Big Data leverages vast datasets from clinical trials to consumer feedback to forecast market trends, segment consumers, and guide R&D. The integration of AI and Big Data fosters deeper insights, driving innovation, safety, and tailored solutions. However, challenges like data privacy, standards, and ethics persist. Future developments may include AI-driven discovery of bioactives, real-time supply chain monitoring, and blockchain-based transparency. Embracing these innovations is essential for advancing safer, more effective, and personalized nutraceuticals that promote public health. Springer Nature Switzerland AG 2026. -
Synergism in Nutraceutical Formulations
Nutraceuticals are bioactive compounds or functional foods consumed to sustain nutrition and support disease prevention. Derived from nutrition and pharmaceuticals, the concept merges food science with therapeutic potential. Synergism in nutraceutical formulations arises when two or more bioactive agents interact to produce enhanced pharmacological or physiological outcomes that surpass the sum of their individual effects. This principle addresses key challenges of monotherapy: poor bioavailability, limited target specificity, and rapid metabolic degradation by enabling multicomponent, mechanistically complementary formulations. Recent innovations such as nano-encapsulation and codelivery systems further enhance absorption, stability, and efficacy of synergistic blends. This chapter provides a comprehensive overview of molecular and formulation-based synergism in nutraceuticals, focusing on mechanistic interactions, formulation challenges, and future directions toward supernutraceuticals that integrate advanced bioengineering and traditional dietary wisdom. Springer Nature Switzerland AG 2026. -
The Impact of Environmental Attributes on Purchase Intention Towards Sustainable Housing
The increasing environmental issues have remoulded consumer behaviour, forcing a shift towards sustainable consumption in the real estate sector. Prior research has focused more on demographic factors and environmental awareness as the main factors for eco-friendly purchases. However, there still exist gaps in acknowledging how certain specific environmental attributes impact purchase intention and, more specifically, the mediating role of consumer attitude towards behaviour concerning real estate sector. This current study uses the Theory of Planned Behavior framework to examine the influence of environmental attributes on purchase intentions for sustainable housing. The analysis has been performed using IBM SPSS Statistic Version 30 and JMP software. The findings show a significant impact of environmental attributes on purchase intention, and the mediation effect of attitude towards behaviour also leaves a significant impact between environmental attributes and purchase intention. These findings will also help contribute to the literature on sustainable housing by linking environmental attributes with consumer behavioural theory. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
A Comprehensive Analysis of Digital Technologies for Climate Change
This study examines how digital technologies can help us to solve climate change through mitigation and adaptation. Through a literature review of the evolution of digital technologies from simple communication applications to artificial intelligence tools, this analysis identifies urgent applications needed at each stage of technological development and critiques their utility in climate action. The findings point out that the digital technologies have the potential to play a large role in combating climate change, but implementation faces challenges that need to be addressed through coordinated action internationally. The research concludes that by integrating approach that are combining of technological innovation and suitable policy frameworks presents climate action's most auspicious path forward. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Twin Benefits: A Study on the Implementation of Digital Twin in Crypto Mining Optimization
The economic downturns at the beginning of the twenty-first century were marked by peoples distrust of financial institutions. Leveraging the demand for a decentralized financial system, Satoshi Nakamoto introduced the concept of Bitcoin, based on blockchain technology. The growth of Bitcoin attracted attention to the Bitcoin mining farms and their substantial energy consumption. According to the Cambridge Bitcoin Electricity Consumption Index, the annualized energy consumption of Bitcoin reached 145.55 TWh (terawatt hours). Bitcoin ranks 27th in global electricity consumption and 67th in global greenhouse gas emission. The production and disposal of mining hardware is also a significant environmental issue. Crypto mining is an area that is constantly striving to achieve energy optimization. Currently, the main focus for energy efficiency optimization is hardware upgradation, resorting to renewable energy, or adopting overclocking. However, these solutions often focus on the individual aspects of the problem. Farms should have a system to leverage real-time data and analytics to make data-driven decisions for optimization. Digital Twin (DT) has the ability to address these limitations and provide a data-driven approach to energy optimization in crypto mining farms. The article discusses the scope of DT implementation in crypto mining, the benefits and impact of DT implementation, the challenges and considerations with DT implementation, various computational models that can be applied for DT implementation, and the policies and regulations to encourage DT adoption in mining farms. The article delves into the potential of computational modeling approaches like Digital Twin to optimize energy consumption and promote sustainability in the blockchain landscape. The article can also initiate further discussions on how financial technology and environmental responsibility can go hand-in-hand. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Twin Benefits: A Study on the Implementation of Digital Twin in Crypto Mining Optimization
The economic downturns at the beginning of the twenty-first century were marked by peoples distrust of financial institutions. Leveraging the demand for a decentralized financial system, Satoshi Nakamoto introduced the concept of Bitcoin, based on blockchain technology. The growth of Bitcoin attracted attention to the Bitcoin mining farms and their substantial energy consumption. According to the Cambridge Bitcoin Electricity Consumption Index, the annualized energy consumption of Bitcoin reached 145.55 TWh (terawatt hours). Bitcoin ranks 27th in global electricity consumption and 67th in global greenhouse gas emission. The production and disposal of mining hardware is also a significant environmental issue. Crypto mining is an area that is constantly striving to achieve energy optimization. Currently, the main focus for energy efficiency optimization is hardware upgradation, resorting to renewable energy, or adopting overclocking. However, these solutions often focus on the individual aspects of the problem. Farms should have a system to leverage real-time data and analytics to make data-driven decisions for optimization. Digital Twin (DT) has the ability to address these limitations and provide a data-driven approach to energy optimization in crypto mining farms. The article discusses the scope of DT implementation in crypto mining, the benefits and impact of DT implementation, the challenges and considerations with DT implementation, various computational models that can be applied for DT implementation, and the policies and regulations to encourage DT adoption in mining farms. The article delves into the potential of computational modeling approaches like Digital Twin to optimize energy consumption and promote sustainability in the blockchain landscape. The article can also initiate further discussions on how financial technology and environmental responsibility can go hand-in-hand. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Assessing the Environmental and Health Impacts of Cashew Processing: Pathway Analysis of Pollution Sources, Emissions, and Intervention Strategies
This study investigates the environmental and health impacts of cashew processing in Kollam, Kerala, renowned globally as the Cashew Capital of the World. While the cashew industry is a significant economic driver, providing employment to thousands primarily women and boosting Kerala's export revenue, its environmental footprint has raised growing concerns. Cashew processing generates considerable waste, including emissions from the roasting process, shell waste, and pollutants, which affect air, water, and soil quality. These environmental issues pose a threat to nearby ecosystems and raise health risks for workers and local communities, including respiratory, skin, and cardiovascular conditions due to exposure to toxic fumes and chemical residues. This study aims to balance economic advantages with environmental sustainability by conducting a pathway analysis of pollution sources, emissions, and potential interventions. Employing a mixed-method approach that includes stratified sampling and statistical techniques such as Chi-Square Tests and Structural Equation Modeling (SEM), the research assesses pollution levels, health impacts, and current sustainability practices within the industry. Through a comprehensive evaluation, the study offers actionable recommendations for mitigating the environmental impact of cashew processing. This analysis provides a foundation for policy reforms and green technology adoption, ensuring the long-term viability of Kollam's cashew industry while safeguarding public health and ecological balance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Service Quality, the Most Driving Factor for Use Continuance of Chatbot in Banking Sector
The challenges faced by businesses in todays context are numerous. There are many uncertainties. However, to achieve sustainable development many businesses have adopted artificial intelligence to improve customer experience. Particularly the banking industry has implemented AI in the form of Chatbot. A conversational application that answers the queries of the customers. This study aims to analyze the factors that influence the customers use continuance of Chatbot services in the banking industry. The survey evaluated various determinants such as Service Quality, Customer Satisfaction, Word-of-Mouth and Use Continuance. Data was collected from 232 bank customers in Bangalore, Karnataka, South India, through online and offline surveys using a random sampling method. The collected data was analyzed using IBM SPSS, and AMOS. The result shows that Service Quality has a significant effect on Satisfaction. And Satisfaction acts as a catalyst that impacts the Use Continuance of bank Chatbots. Loyalty and Word-of-mouth show mild mediation between Satisfaction and Use Continuance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Service Quality, the Most Driving Factor for Use Continuance of Chatbot in Banking Sector
The challenges faced by businesses in todays context are numerous. There are many uncertainties. However, to achieve sustainable development many businesses have adopted artificial intelligence to improve customer experience. Particularly the banking industry has implemented AI in the form of Chatbot. A conversational application that answers the queries of the customers. This study aims to analyze the factors that influence the customers use continuance of Chatbot services in the banking industry. The survey evaluated various determinants such as Service Quality, Customer Satisfaction, Word-of-Mouth and Use Continuance. Data was collected from 232 bank customers in Bangalore, Karnataka, South India, through online and offline surveys using a random sampling method. The collected data was analyzed using IBM SPSS, and AMOS. The result shows that Service Quality has a significant effect on Satisfaction. And Satisfaction acts as a catalyst that impacts the Use Continuance of bank Chatbots. Loyalty and Word-of-mouth show mild mediation between Satisfaction and Use Continuance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Impact of Covid-19 on Sustainable Indices: A Structural Break Analysis
The study focused on the structural breakpoint on Covid-19 announcement by the World health organization (WHO) on March 11, 2020. The objective of the study is to know the breaks at the specified breakpoints (Covid-19 Announcement). This paper applied the CUSUM of Squares test, chow breakpoint test, and F-Statistics on daily basis the event window (?30days, Event date,?+30days) of seven emerging and sustainable indices of the world namely, viz, China, India, Brazil, Mexico, Russia, Indonesia, and Turkey. The interpretation of the graph of the series indicates that breakpoint. The findings of simple regression are significant. The stability diagnostic of CUSUM Square test degradation shown out 5% level of significance, meaning the break in the model. In the Chow test, the null hypothesis is rejected, there is a break as on covid-19 date of announcement breakpoints, the value of f-statistic is significant at 5% level. It is life-threatening to consider the change due to the Covid-19 in selected sustainable indices. Our estimation allowed counterfactual experiment to indicate that the covid-19 affected the stock market deviation on the announcement of Nobel coronavirus in the world. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
The Linkage Between the Determinants of Sustainable Growth and Energy-Efficient Consumption to Sustainable Development: A Cross-Country Analysis
The research explores the determinants of sustainable development, highlighting the impact of sustainable growth and energy-efficient consumption. Furthermore, individually analyzing the factors influencing sustainable development, sustainable growth and energy-efficient consumption. Using secondary data sources for 19 variables, the study analyzed it for the G20 nations excluding the European Union. Nevertheless, the findings conclude that a positive relationship between sustainable growth and energy-efficient consumption contributes to sustainable development. Including macroeconomic, spatial and socio-economic variables as control variables enhances the studys findings by unravelling a unique perspective and relationship between these variables on sustainable development. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Does FDI Determine Sustainable Development? Evidence from India
This study aims to evaluate if foreign direct investment (FDI) impacts sustainable development in India. The study uses time series data from World Bank database for India for a period spanning 19902022. For sustainable development, an index representing the three dimensions of sustainability is created using principal component analysis (PCA). Descriptive statistics complemented with autoregressive distributive lag (ARDL) model is implemented on the data collected. The study finds that FDI significantly and positively affects sustainable development in India. This relationship exists not only in the short run but also in the long run. To the best of our knowledge, not many studies have identified the impact of FDI on sustainable development in India, taking indicators of all dimensions of sustainability. The study calls attention to creating policies that focus on attracting and incentivizing FDI that aligns with sustainable development goals. This includes investments in infrastructure, renewable energy, and technology transfer. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Analysing the Relationship Between FDI and the Dimensions of Sustainable Development in India
After dominating international development policy for more than 20years, sustainability and sustainable development have attracted more and more attention in policy and scholarly discourse. Significantly, recent events have emphasised the significance of pursuing sustainability and sustainable development even more. These include the adoption of a circular economy strategy, the move to renewable energy sources, the fight against climate change, and attempts to reduce emissions from fossil fuels. Foreign direct investment is one method of achieving sustainable development. Therefore, a sustainable relationship between FDI and sustainable development in India has been established in the subsequent pages of this paper and this causal relationship has been analysed. This causal relationship has been established via the vector error correction model. Through the findings, this paper doubles down on the idea that FDI is a great source for the introduction of sustainable development. However, it is also found that policymakers should focus on the implementation of those policies that utilise the benefits of FDI while simultaneously working against the negative environmental impacts and promoting the need for human development. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Role of Technology in Achieving SDG Adoption in Emerging Economies
Technology has always changed the world for the better making processes efficient and effective, yet it is imperative to gain a comprehensive understanding and know-how of these technologies in order to utilize them for SDG adoption especially in emerging economies. The United Nations sustainable development goals (SGDs) provide us with a framework for creating a more sustainable, prosperous and equitable future by the year 2030 and modern technology has a vital role to play in actualizing these plans. However, utilizing technology for SDG adoption in emerging economies come with its own set of constraints and challenges. Emerging economies face unique challenges in their pursuit of the United Nations SDGs, including limited infrastructure, economic instability, and unequal access of resources. Nonetheless is proving to be a key enabler in overcoming such hurdles and accelerating the adoption of SDGs. This chapter explores how technology, including mobile connectivity, artificial intelligence (AI), blockchain, and the Internet of Things (IoT) are enabling smother and more streamlined adoption of SDGs and how emerging economies are the real beneficiaries. Mobile technology, for instance, has revolutionized the financial system making it inclusive, bring it within reach of the unbanked population of the world. Technology is also empowering small farmers with accurate weather forecast, real-time market data, and affordable crop management tools. This is a direct contribution to SDG 1 (No Poverty) and SDG 2 (Zero Hunger). In a similar manner, AI-powered app-based healthcare solutions are a massive leap within the sector and can help tackling disease outbreaks and enhancing the general health of the people, thus having a direct positive impact on SDG 3 (Good Health and Well-being). Furthermore, the applications of IoT are numerous and are proving to be rather beneficial for cities in emerging economies. It is being utilized to implement smart energy grids to water management systems directly contributing to SDG 6 (Clean Water and Sanitation) and SDG 7 (Affordable and Clean Energy). This chapter concludes by examining the need of inclusive policies and investment in digital infrastructure to ensure that emerging economies can reap maximum through the modern-day technologies. It also addresses the potential risks, such as digital inequality and data privacy concerns assessing how the contemporary technology be utilized in order to achieve sustainable development in emerging economies. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Bridging Academia and Communities Through Service-Learning Praxis at Christ University
The Service Learning (SL) experiences of students in higher education institutions play a pivotal role in shaping future generations to be more inclusive and responsible. This chapter delves into the institutionalisation of SL, community partnerships, and specific departmental SL experiences, focusing on the initiatives at Christ University. At the core of these efforts is the Centre for Service Learning at Christ University, which actively monitors, recommends policies, and establishes frameworks for departments. The chapter introduces the ADORED model, elucidating the phases of SL at the institution: Assess, Develop, Organise, Reflect, Execute, and Demonstrate. This chapter describes SL practices in the School of Commerce, Education, and Psychology, offering tangible examples. By examining these specific cases, the chapter provides insights into the successful integration and sustainability of SL within a university setting. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Polymeric Nanocomposites and Their Applications
A polymer is a macromolecule comprising numerous repeating subunits linked by covalent bonds. The word polymer arises from Greek, with polus denoting many and meros denoting parts. Although humans have used polymers long before, their chemical properties were studied only in the nineteenth century. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Cardiac Endothelial Impairment in the Danio Rerio Due to Change in the Circadian Rhythm
Light is one of the environmental factors which regulates the circadian rhythm in humans and animals. Circadian rhythm is a light and dark cycle which controls awakeness and sleepiness. Circadian rhythm regulates all the physiological functions. Artificial light at night disrupts the circadian rhythm in the population. Mostly developing and developed country population is very much prone to the disturbance in the circadian rhythm as shift work becomes very common. In this study we have disturbed the circadian rhythm of the Danio rerio by continuously exposing them to bright light and disturbing their resting period by creating surface waves for 96 h. At regular intervals, triplicates were meticulously extracted from control and experimental tanks, their hearts tenderly dissected and preserved in formaldehyde for subsequent analysis. Through the lens of a microtome, the intricate architecture of cardiac tissue unveiled a disquieting narrative, after 48 h and 72 h show trabeculae and necrosis in the inner layer of the ventricles and lumens were seen in the bulbus arteriosus. These findings not only mirror the cardiac consequences observed in humans experiencing circadian disruptions but also underscore the potential of zebrafish as valuable models for investigating pharmacological interventions aimed at mitigating such cardiovascular consequences. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Production of Biochar from Algal Biomass and Their Applications
Algal biomass represents one of the most promising targets as a source of biofuel production, bioenergy, as sustainable feedstock and other valuable products. Algal biomass with its physicochemical properties and potential use has gained immense interest presently for converting it into biochar. Algal biochar synthesis has been done using conventional methods like pyrolysis, slow, and microwave-assisted methods along with modern ones like hydrothermal carbonization and torrefaction. Algal biochar has been variedly derived from the macroalga from fresh, brackish, and marine waters. This algal biochar has been extracted for maximum nutrient contents and capacity to exchange ions, as it is high in pH, ash, nitrogen sources, and inorganic components like phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg). Biochar has been produced from fresh water macroalga Cladophora glomerata, as a biosorbent of heavy metals that have high toxicity. Other algal biochars include Chlorella vulgaris, Dunaliella salina, Haematococcus pluvialis, Gracilaria, and Oedogoniumsps has high affinity toward oxyanions like arsenic, molybdenum, and selenium that are difficult to be removed using conventional techniques. Algal biochar is a boon for amending soil for agricultural purposes especially applicable to acidic soils increasing the crop productivity and as absorbents for removing organic and inorganic contaminants in waste water treatment. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Biochar a Futuristic Approach for Heavy Metal Remediation from Wastewater
Heavy-metal-induced contamination has been one of the major pollutants, and currently being one of the most serious concerns for its ill effects on the environment, and toxicity towards humans and plants. Being persistent in the milieu for decades, these heavy metals can also seep into underground waters polluting the soil and aquifers. Contaminated water causes the physiochemical and biochemical changes affecting the plant growth and yield. Additionally, it also has a major concern with the human health effects. Hence, it is very important to find ways to remove these heavy metals efficiently from water. In recent years, different ways of remediating heavy metals from waste water have been undertaken. Biochar, a carbon-rich source is derived from the decomposition of organic wastes that has been competent adsorbent for the heavy metal from water thus, helping as an effective treatment option. An adsorbent for heavy metals, biochar has porous structure, pH value, surface function and high cation exchange. Several methods have been used to synthesise biochar with a significant physiochemical property and have been used for various chemical applications. Being an exceptional heavy metal adsorbent, biochar is also ecofriendly, least expensive and effective treatment that has a greater potential in the near future as a best option for wastewater treatment. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Polycyclic Aromatic Hydrocarbons and Their Remediation by Biochar
The distribution of polycyclic aromatic hydrocarbons (PAHs) around the world is influenced by anthropogenic, natural, and global transport activities. They are pervasive environmental contaminants that are toxic, mutagenic, carcinogenic, and have negative biological effects. PAH molecules stability and hydrophobicity are the two main factors that influence their long-term persistence in the environment. PAHs contamination of soil, water and sediments has been widely dissipated for years, necessitating effective remediation processes through research and development to achieve impactful treatment and reuse of soil, water and sediments. The biochar amendment to PAHs contaminated soil, water and sediments has been suggested as an inventive and environmentally friendly technology. The primary method of removing PAHs involves sorption onto biochar. In this chapter, types and effects of PAHs exposure on humans the mechanisms of PAH sorption to the biochar, effects of adding biochar to soil, water and sediments that have PAH contamination are thoroughly discussed. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.