The mental health climate crisis: Unveiling the hidden consequences of global warming
subject: Atmospheric science; Climate change; Community; Development studies; Disorder; Economic development; Employee management; Environmental geography; Epidemiology; Mental health; Psychological; Sociology; Stress
description: Today, the issue of climate change is a matter of great urgency on a global scale, with vast-reaching implications. While the environmental and physical health effects of climate changes are well-documented, its impact on mental health is an emerging area of concern. The issue of climate change necessitates a rigorous and systematic approach to comprehending, evaluating, and addressing climatic anxiety. This approach must underscore the differentiation between adaptive and maladaptive forms of anxiety, and the importance of considering the societal-level response necessary to effectively combat climate change. Studies have documented the impact of natural calamities like Hurricane Katrina on low-income people residing in those areas. The present study rests on the objectives of examining the psychological impact of climate change on individuals, communities, and vulnerable populations with the help of literature. Further, investigation is continued on the role of climate-related stressors, such as natural disasters, heatwaves, and environmental degradation on mental health outcomes. The study also identified the potential interventions and strategies for mitigating the adverse impact on mental health due to climate change. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
creator: Kumar S.; Ghosh F.C.M.A.N.; Khanna S.
source: Impact of Climate Change on Social and Mental Well-Being, pp. 285-298.
publisher: Elsevier
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-044323788-1; 978-044323789-8
format: Online
language: English
type: Book chapter
coverage: Kumar S., CHRIST University, Bangalore, School of Business and Management, Karnataka, Bengaluru, India; Ghosh F.C.M.A.N., CHRIST University, Bangalore, School of Commerce, Karnataka, Bengaluru, India; Khanna S., CHRIST University, Bangalore, School of Business and Management, Karnataka, Bengaluru, India

Using Ensemble Model to Reduce Downtime in Manufacturing Industry: An Advanced Diagnostic Framework for Early Failure Detection
description: The fourth industrial resolution marks a significant shift that uses emerging technologies such as intelligent automation, extensive machine-to-machine communication, and the internet of things (IoT) to modernize conventional manufacturing and industrial methods. The examination of vast data gathered in modern industrial facilities has not only greatly leveraged artificial intelligence (AI) tools but has also driven the development of innovative technologies. In this context, a novel framework for predictive maintenance in the production sector is introduced in this research, which depends on an ensemble model. First, a set of input features are collected from sensors. Then, data normalization technique is applied to standardize and prepare data for further analysis. These normalized input features are then used to train an ensemble classifier. In the ensemble model, multilayer perceptron (MLP), K-nearest neighbors (KNN), and support vector machine (SVM) are serve as base classifiers. Efficacy of the designed framework is validated using predictive maintenance dataset. Results demonstrated that the proposed ensemble model exhibited improved accuracy compared to individual base classifiers. The results further demonstrated that the implemented model had superior efficiency compared to the other benchmark models. 2025 selection and editorial matter, Amit Kumar Tyagi, Shrikant Tiwari, and Gulshan Soni; individual chapters, the contributors.
creator: Thenmozhi S.; Kumudavalli M.V.; Karthikeyan P.; Kumar C.S.; Sharmila S.
source: Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing, pp. 184-196.
publisher: CRC Press
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-104015139-6; 978-103276952-3
format: Online
language: English
type: Book chapter
coverage: Thenmozhi S., Dayanandasagar College of Engineering, Karnataka, Bengaluru, India; Kumudavalli M.V., Dayanandasagar College of Engineering, Karnataka, Bengaluru, India; Karthikeyan P., Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan; Kumar C.S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Sharmila S., Dayanandasagar College of Engineering, Karnataka, Bengaluru, India

Biodegradable Organic Polymers for Environmental Protection and Remediation
subject: Agro-waste; Biopolymers; Cellulose; Chitin; Chitosan; Keratin; Levan; Polyhydroxyalkanoates; Remediation; Starch
description: As the era of urbanization and industrialization progressed, non-biodegradable polymers became a severe threat to the environment and the world's rapidly growing population. These synthetic polymers possess flexible applications and cost effectiveness which makes their usage more feasible and convenient. Today they are used from simple packaging to critical biomedical tools. Although these polymers possess many merits, all come to halt when it comes to biodegradability. The inherent mechanisms in nature are unable to degrade and decompose these synthetic polymers leading to their accumulation and persistence in nature for decades causing calamitous effects. In search of solutions for the adverse effects caused by synthetic polymers, the world turned toward biologically synthesized biodegradable organic polymers. These biopolymers have a diverse set of physical and chemical characteristics that can be easily manipulated, allowing for a wide range of applications. Biopolymers like polyhydroxyalkanoates and levan have adaptable qualities that resemble those of synthetic plastics which makes them a promising alternative to synthetic plastics. However, the setback in the large-scale usage of biopolymers is their high cost of production and commercialization. The biopolymers are broadly classified into three major classes based on their origin: plant-based biopolymers (cellulose, starch), animal-based biopolymers (chitin, chitosan, keratin), and microbial biopolymers (polyhydroxyalkanoates, levan). The extraction or synthesis of these biopolymers from their biological sources varies significantly from each other; however, in order to bring out the sustainable production, these polymers should be produced by coupling with waste valorization approaches. The waste materials from plants and animals, particularly agro-industrial wastes, can be used as inexpensive substrates for the commercial manufacture of these crucial biopolymers, thereby reducing the accumulation in the en…
creator: Santhosh A.S.; Suresh S.; Umesh M.; Stanly L.M.; Grigary S.; James N.
source: Organic Polymers in Energy-Environmental Applications, pp. 381-402.
publisher: wiley
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-352784281-0; 978-352735237-1
format: Online
language: English
type: Book chapter
coverage: Santhosh A.S., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Suresh S., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Umesh M., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Stanly L.M., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Grigary S., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; James N., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India

Unveiling the Emotions: A Sentiment Analysis of Amazon Customer Feedback
subject: Amazon customer feedback; Confusion matrix; Machine learning; Sentiment analysis; Word cloud
description: This study explores sentiment analysis in the context of diverse regions and contemporary customer feedback, aiming to address research questions related to consolidation based on polarity scores and sentiments. The research utilizes multinomial regression for a comprehensive analysis of customer feedback worldwide. The investigation incorporates confusion matrices, statistics, and class-specific metrics to evaluate the models performance. Results indicate a highly accurate model with perfect sensitivity, specificity, and overall accuracy. The analysis further includes a breakdown of key metrics such as accuracy, confidence intervals, no information rate, p-value, kappa, and prevalence, emphasizing the models robustness. In conclusion, the multinomial logistic regression model demonstrates exceptional performance in predicting sentiment across diverse classes, highlighting its effectiveness in sentiment analysis on a global scale. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
creator: Muthu Ruben V.; VijayaKumar R.; Sateesh Kumar T.K.
source: Studies in Systems, Decision and Control, Vol-536, pp. 403-410.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 21984182
format: Online
language: English
type: Book chapter
coverage: Muthu Ruben V., School of Law, Christ University, Bangalore, India; VijayaKumar R., Kristu Jayanti College (Autonomous), Bangalore, India; Sateesh Kumar T.K., Kristu Jayanti College (Autonomous), Bangalore, India

Adapting Case Study Pedagogy for Non-Residential Business Schools: Strategies for Implementation
description: Case study pedagogy is widely recognized as a powerful teaching approach in business education programs. However, its implementation in non-residential business schools poses distinct challenges. Optimizing case study pedagogy to the unique needs and circumstances of non-residential students necessitates a specific strategy. This chapter delves into various strategies essential for the effective implementation of case study pedagogy in non-residential business schools. First, an overview of 2024 by IGI Global. All rights reserved.
creator: Elangovan N.; Dilipchandra S.; Kapse M.; Sundaravel E.
source: Utilizing Case Studies in Business Education, pp. 31-58.
publisher: IGI Global
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 979-836933780-6; 979-836933779-0
format: Online
language: English
type: Book chapter
coverage: Elangovan N., Christ University, India; Dilipchandra S., Christ University, India; Kapse M., Symbiosis Centre for Management and Human Resource Development, Symbiosis International University (Deemed), India; Sundaravel E., Christ University, India

Green space and mental well-being research in India: An urgent need for intervention
subject: Global burden of disease; Green space psychology; India; Mental health; Mental health promotion
description: In recent years, numerous studies have highlighted the positive impact of green spaces on mental health and overall well-being. However, a closer examination reveals a skewed green space research contribution, with developed countries taking the lead. Despite substantial burden of mental health issues, there is a noticeable dearth of green space research within India's academic landscape. In the current paper, we address this gap through a brief review that positions the scope of green space psychology (GSP) in India. We conducted the literature review using a machine learning tool called Crawling Scholar. Our review comprised 325 studies, focusing on five key parameters: the year of publication, geographical context, research design, psychological variables examined, and study population. Our findings indicate a significant body of global research on GSP, while the contribution from Indian scholarship remains negligible. Based on this discrepancy, we propose that incorporating GSP as an intervention and preventive measure could play a crucial role in addressing India's mental health challenges. By integrating traditional practices with the emerging field of GSP, we can harness the potential of green spaces to promote mental well-being. Our findings further underscore the importance of expanding research on GSP within the Indian context and emphasize the need for further investigations into its efficiency. By shedding light on the current status of GSP research in India, we aim to raise awareness among researchers, policymakers, and mental health professionals, fostering a collaborative effort to leverage the benefits of green spaces for the betterment of mental health infrastructure in India. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
creator: Banerjee B.; Basu S.; Kumar L.
source: Impact of Climate Change on Social and Mental Well-Being, pp. 147-201.
publisher: Elsevier
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-044323788-1; 978-044323789-8
format: Online
language: English
type: Book chapter
coverage: Banerjee B., Department of Humanities and Social Sciences, BITS Pilani KK Birla Goa Campus, Goa, India; Basu S., Department of Humanities and Social Sciences, BITS Pilani KK Birla Goa Campus, Goa, India, Department of Psychology, CHRIST University, Karnataka, Bengaluru, India; Kumar L., Department of Computer Sciences and Information Systems, BITS Pilani KK Birla Goa Campus, Goa, India

CovalentOrganic Frameworks (COF): An Advanced Generation of Reticular Organic Polymers for Energy and Environmental Applications
subject: adsorption; batteries; covalent organic frameworks (COFs); dye removal; energy storage; environmental applications; heavy metal removal; nanoporous materials; pollutant degradation; redox activity; separation; supercapacitors; TT-conjugated backbones; tunable pores; water treatment
description: Over the past decade, nanoporous materials have caught strong attention among the scientific community due to their tremendous potential in real-world applications. This chapter introduces one such group of nanoporous materials called Covalent Organic Frameworks or simply COFs. Here, we briefly covered the overview of synthesis of COFs and their post-synthetic modifications employing different linkages boron, imine, triazine linkages, etc. High porosity with adjustable periodic pores, well-defined structures, and tunable skeletons are some of the key properties of COFs. In account of such advantages COFs have been scientifically researched in applications like adsorption, separation, energy storage devices, sensing, and especially in degrading various pollutants like heavy metals As, Cd, Cr, Cu; radionuclides UO 2 2+, TcO 4 ?, Nd 3 +, I 2; organic waste dyes, pharmaceutical waste, organo-phosphorous retardants, etc. This chapter specifically describes the current advancement of COFs in segregating hazardous chemicals by sorption methods. One such example is heavy metal sorption in trace amounts from water which otherwise can pose a great threat to human health if not removed completely. Some of these ions include UO 2 2+. By utilizing weak chemical interactions for dye confinement within COF pores, industrial sewage water can be made dye free. ?-conjugated backbones found in aromatic COFs could function as a signal transducer, or active functional groups evenly spaced could act as a receptor, and the uniform pores can serve as mass transfer inducer/enhancers. As a result, COFs can facilitate facile and smooth ion transport by the virtue of redox activities within COF pores. This makes COF a robust and efficient material for energy applications particularly in designing batteries and supercapacitors. Thus, COFs could act as a potential electrodes both anode and cathode for energy storage devices. The current chapter also highlights the development in the field of env…
creator: Ravi A.; Ajith A.J.; Chaudhari A.K.
source: Organic Polymers in Energy-Environmental Applications, pp. 215-242.
publisher: wiley
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-352784281-0; 978-352735237-1
format: Online
language: English
type: Book chapter
coverage: Ravi A., Christ University, Department of Chemistry, Laboratory for Nano-Void Chemistry (NAVICHEM), 560029, Bangalore, India; Ajith A.J., Christ University, Department of Chemistry, Laboratory for Nano-Void Chemistry (NAVICHEM), 560029, Bangalore, India; Chaudhari A.K., Christ University, Department of Chemistry, Laboratory for Nano-Void Chemistry (NAVICHEM), 560029, Bangalore, India

The social psychology of COVID-19 stigma
description: The spread of infectious diseases and the associated stigmatisation of people is an evidenced history. The present chapter is an attempt to explain the stigma of race, class and religion in India with the help of the established intergroup theories of social psychology to highlight the psychosocial consequences resulting out of an outbreak of infectious diseases, i.e., COVID-19. In order to present the implicational value of intergroup theories in explaining the practices of COVID-19-generated stigmatisation of people in India on the basis of their belongingness to particular race, class and religion, a systemic review of the COVID-19-generated stigmatisation of people and groups was carried out. Anecdotal presentations of stigmatised treatments against the several social groups in India are explained from the vantage of intergroup theoretical approaches of social psychology. In our review, intergroup theories of social psychology were found instrumental in explaining COVID-19-generated stigmatised treatments directed against people based on race, class and religion. Intergroup Emotions Theory could explain the stigmatisation of Northeast Indians. Scapegoat theory was found instrumental in explaining the stigmatisation of poor and migrants. Stigmatisation against Muslims could be justifiably explained in the light of social identity theory. At last, the chapter attempts to make certain recommendations aimed to reduce or combat negative psychosocial responses to infectious diseases like COVID-19. 2025 selection and editorial matter, Asma Parveen and Rajesh Verma; individual chapters, the contributors.
creator: Bhanot D.; Verma S.K.; Sharad S.; Bharti B.K.; Singh T.; Mittal S.; Tushir B.
source: Mental, Emotional and Behavioural Needs of the General Population Following COVID-19 in India: Findings from Qualitative and Quantitative Studies, pp. 114-134.
publisher: Taylor and Francis
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-104017605-4; 978-103274842-9
format: Online
language: English
type: Book chapter
coverage: Bhanot D., Department of Applied Psychology, Ramanujan College, University of Delhi, India; Verma S.K., Vivekananda College, Delhi University, India; Sharad S., Vivekananda College, University of Delhi, India; Bharti B.K., Vivekanand College, University of Delhi, India; Singh T., University of Allahabad, India, Banaras Hindu University, India, National Academy of Psychology (NAOP), International Association of Applied Psychology (IAAP), India; Mittal S., School of Liberal Arts, Bennett University, India; Tushir B., Christ University, Delhi-NCR, India

Robotics: challenges and opportunities in healthcare
subject: health studies; health system; healthcare; IoT; medical; medical device; Robotics
description: Today, healthcare services and systems are becoming very complex and include a large number of entities characterized by shared, distributed and heterogeneous devices, sensors, and information and communication technologies. Various artificial intelligence techniques have been implemented in various sectors like smart cities, energy, IT sectors, banking, agriculture, retails, and many more, but it has been always challenging to demonstrate this technique effectively in healthcare sector due to its sophisticated procedure and its handling. Data analytics research on healthcare data has grown significantly over the past 10-12 years, and the execution of data analytics algorithms and systems in healthcare has been progressing more quickly. The data analytics service section has gained considerable attention with the development of technology, especially artificial intelligence robots, in the healthcare sector. Robots can help people with cognitive, sensory, and motor disabilities, help the sick or injured, support caregivers, and assist the clinical workforce. The purpose of this study is to provide historical evolution of robotics in healthcare with an overview of the influence of robots in healthcare like clinical support, patient transfer in hospitals, to handle heavy surgical instruments, to transport medical waste, for drug delivery, patient management etc. Furthermore, this chapter also covered the challenges and opportunities in healthcare and also offers a comprehensive aspect at how robots are incorporate in various healthcare applications. 2025 Elsevier Inc. All rights reserved.
creator: Pant R.; Joshi K.; Mahajan S.
source: Data Science in the Medical Field, pp. 361-367.
publisher: Elsevier
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-044324028-7; 978-044324029-4
format: Online
language: English
type: Book chapter
coverage: Pant R., Department of Mechanical Enginnering, Uttaranchal University, Uttarakhand, Dehradun, India; Joshi K., Department of Computer Science Enginnering, Uttaranchal University, Uttarakhand, Dehradun, India; Mahajan S., Postdoc (Norway), Christ (Deemed to be University), Delhi-NCR, India

Smart therapist: The mental health detector
description: In this fast-moving world, mental health disorder has turned to be one of the important issues which need utmost care and concern. According to the National Mental Health Survey Report, at least 14% of the India's population needs attention for mental disorders, of which stress, depression, and anxiety are the most common. An automated system that helps in detecting these mental disorders and thereby helps us to lead a better life by moulding our lifestyle is desirable. This chapter proposes an Intelligent Therapist based on machine learning which diagnoses a person's mental state through a set of questionnaires that helps in determining his/her mental state. The chatbot analyses the response and classifies them into different categories as per the severity of the disorder. The model is trained and tested on varying datasets to provide better accuracy in the understanding of human behaviour. This web-based chatbot will be accessible to anyone having access to the internet and will act as a preliminary self-check-up point. 2025 selection and editorial matter, Neha Goel and Ravindra Kumar Yadav; individual chapters, the contributors.
creator: Dutt A.; Nizar Banu P.K.; Bansal A.; Bansal K.
source: Internet of Things enabled Machine Learning for Biomedical Applications, pp. 167-187.
publisher: CRC Press
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-104009765-6; 978-103255082-4
format: Online
language: English
type: Book chapter
coverage: Dutt A., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Nizar Banu P.K., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Bansal A., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Bansal K., CHRIST (Deemed to be University), Karnataka, Bangalore, India

2D Metal-based Electrocatalysts: Properties and Applications
description: 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.
creator: Lakshmanan P.; Kumar M K.; Pyarasani R.D.; Amalraj J.
source: 2D Metals Fundamentals, Emerging Applications, and Challenges, pp. 138-155.
publisher: CRC Press
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-104015132-7; 978-103263855-3
format: Online
language: English
type: Book chapter
coverage: Lakshmanan P., Inha University Incheon, South Korea; Kumar M K., CHRIST (Deemed to be University), Karnataka, India; Pyarasani R.D., Universidad catica de Maule Talca, Chile; Amalraj J., Universidad de Talca Talca, Chile

Statistical Data Analysis of Anticorrosion and Antifouling: Unveiling Insights from Performance and Trends
subject: CA (contact angle); CAH (contact angle hysteresis); MIC (microbiologically influenced corrosion); Polymers; SLIPS (slippery lubricant-infused porous surfaces); WCA (water contact angle)
description: This chapter provides intended insights about the current antifouling and anticorrosion conventional coatings, each with a distinct quality, that fall short of fully satisfying the contemporary requirements of material preservation in a marine environment. To solve these issues and accomplish the required goals, a number of novel terminologies and procedures have been investigated and several recently published research works were referred to and briefly examined in order to provide appropriate conclusions. In order to explore new methodologies that provide total protection for materials from biofouling and corrosion in maritime environments, this study looks into the complex realm of antifouling and anticorrosion methods. 2024 Scrivener Publishing LLC.
creator: Preetham Noel P.; Kumar K.P.; Mani Joseph P.; Pillai V.J.
source: Novel Anti-Corrosion and Anti-Fouling Coatings and Thin Films, pp. 459-473.
publisher: wiley
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-139423431-8; 978-139423428-8
format: Online
language: English
type: Book chapter
coverage: Preetham Noel P., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Kumar K.P., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Mani Joseph P., Department of Mathematics and Computer Science, Modern College of Business and Science, PC, Muscat, Oman; Pillai V.J., Department of Electronics and Communication Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India

Identifying Wage Inequality in Indian Urban Informal Labour Market: A Gender Perspective
subject: Gender; informal employees; labour market; Oaxaca-Blinder decomposition; urban
description: This chapter elucidates the wage differential between male and female informal workers in urban labour market by using employment and unemployment survey 61st (2004-2005) round, 68th (2011-2012), and Periodic Labour Force Survey 2019-2020 data of National Sample Survey Office (NSSO) unit level data. This study found that gender inequality not only increased during getting job but also persists after getting job during wage distribution. Based on the Oaxaca-Blinder (OB) decomposition, it is revealed that gender wage inequality is more in the labour market due to the labour market discrimination, that is, unexplained components. Hence, this study helps researcher, policy makers and government to fix the gender wage discrimination issues exist in the Indian labour market. This will enhance economic growth through the rise of the women labour force participation. 2024 A. Vinodan, S. Mahalakshmi, and S. Rameshkumar.
creator: Pattayat S.S.; Haluwalia S.
source: Informal Economy and Sustainable Development Goals: Ideas, Interventions and Challenges, pp. 335-357.
publisher: Emerald Group Publishing Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-183753980-2; 978-183753981-9
format: Online
language: English
type: Book chapter
coverage: Pattayat S.S., Department of Economics, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Haluwalia S., Department of Economics, CHRIST (Deemed to be University), Karnataka, Bangalore, India

Enhancing Patient Safety and Efficiency in Intravenous Therapy: A Comprehensive Analysis of Smart Infusion Monitoring Systems
subject: Air embolism; Bioelectronics; Healthcare; IoT; IV fluid; Sensors; Smart hospitals; Smart IV infusion monitoring
description: Intravenous (IV) fluids, comprising vitamin-rich solutions, are administered to address patient electrolyte imbalances and dehydration through IV infusion therapy. Infusion pumps are integral for precise medication dosage delivery in this common medical procedure, generally posing low risks. These fluids are stored in polypropylene bags connected to patients through tubes. However, when the IV bag empties, the patients blood may flow backward into the IV tube due to higher blood pressure, known as diffusion, potentially leading to complications like air embolism-life-threatening if air enters the bloodstream through the IV line, obstructing blood flow to vital organs. Smart IV Bags emerged as a solution to mitigate such risks, eliminating the need for manual IV bag monitoring while preventing reverse blood flow. This research comprehensively assesses various IoT-enabled IV Bag monitoring systems, comparing their strengths, weaknesses, and unique features. Key evaluation criteria include component efficiency, real-world applicability, accuracy, latency, and technical specifications. The aim is to provide an objective evaluation of each Smart Intravenous Liquid Monitoring System to inform future developments in this field. A systematic approach ensures the selection of systems that best meet specific requirements in diverse healthcare environments. 2024 Scrivener Publishing LLC.
creator: Sreekumar K.; Reddy T.P.; Prathap B.R.
source: Internet of Things in Bioelectronics: Emerging Technologies and Applications, pp. 171-200.
publisher: wiley
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-139424190-3; 978-139424187-3
format: Online
language: English
type: Book chapter
coverage: Sreekumar K., Department of CSE, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Reddy T.P., Department of CSE, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Prathap B.R., Department of CSE, CHRIST (Deemed to be University), Karnataka, Bangalore, India

Biomedical Waste Management: Legal and Regulatory Framework and Remedial Strategies
description: The present chapter begins with conceptual analysis of legal and regulatory framework from Indian as well as international perspectives. Follow through comparative analysis of Basel Convention on the Control of Trans-Boundary Movement of Hazardous Waste and Their Disposal, 1992; Convention on the Import into Africa and the Control of Trans-Boundary Movement and Management of Hazardous Wastes within Africa, Bamako, 1998; Convention on Persistent Organic Pollutants (POPs), Stockholm 2004; with Biomedical Waste Management Rules 2016 and (Amendment 2018) of India. The chapter also presents the legal and regulatory frameworks from the perspective of the United Kingdom, Indonesia, Kenya, and Sri Lanka as case studies. The chapter focuses on addressing SDG 3 (Good Health and Wellbeing), SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation, and Infrastructure), SDG 10 (Reduced Inequalities), SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), SDG 14 (Life Below Water), SDG 15 (Life on Land), SDG 16 (Peace, Justice, and Strong Institutions), and SDG 17 (Partnerships for the Goals). 2025 Moharana Choudhury, Ankur Rajpal, Srijan Goswami, Arghya Chakravorty and Vimala Raghavan.
creator: Hussaini N.; Jain S.A.; Hussaini T.; Alexander D.; John S.; Sarkar B.
source: Analytical Case Studies on Municipal and Biomedical Waste Management: Perspectives on Sustainable Development Goals, pp. 104-118.
publisher: CRC Press
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-104016491-4; 978-103279691-8
format: Online
language: English
type: Book chapter
coverage: Hussaini N., School of Commerce, Finance and Accounting, Christ University, Bangalore, India; Jain S.A., School of Law, Christ University, India; Hussaini T., Manipal Law School, Manipal Academy of Higher Education, Bengaluru Campus, India; Alexander D., Manipal Law School, Manipal Academy of Higher Education, Bengaluru Campus, India; John S., Manipal Law School, Manipal Academy of Higher Education, Bengaluru Campus, India; Sarkar B., School of Business & Management, Christ University, Bangalore, India

Bioinformatics applications for evaluating health and pharmacological properties of tea: Use of computer-assisted drug discovery tools
subject: CADD; Drug discovery; Phytochemicals; Therapeutics
description: Bioinformatics has emerged as a crucial tool in tea research, enabling the exploration of the genetic and molecular intricacies underlying tea cultivation, quality, and health benefits. By leveraging bioinformatics, researchers have extensively explored, inferred, and evaluated the pharmacological properties of tea. This groundbreaking approach has unveiled a myriad of possibilities for utilizing the bioactive compounds present in tea. Metabolomics studies have unraveled the intricate metabolic pathways within tea plants, providing insights into the synthesis and accumulation of bioactive compounds. Bioinformatics in tea research opens new avenues for the tea industry, benefiting both producers and consumers worldwide. These advancements not only deepen our understanding of tea biology but also hold immense potential for sustainable tea production, the discovery of novel bioactive compounds, and the optimization of tea flavors and health benefits. This chapter explains the bioinformatic tools used to identify various therapeutic properties of tea biocompounds. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
creator: Chacko A.M.; Bylappa Y.; Nag A.
source: Tea in Health and Disease Prevention, pp. 379-390.
publisher: Elsevier
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-044314158-4; 978-044314159-1
format: Online
language: English
type: Book chapter
coverage: Chacko A.M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Bylappa Y., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India

Marine microbial biopolymers and their applications
subject: antiinflammatory; antimicrobials; Biopolymers; marine microbes
description: Marine environment has been an important surrounding in recent times for valuable resources such as bioactive polymers. Increasing environmental concerns and realizing the limitation of global petroleum resources, biopolymers has gained utmost importance. Highly abundant renewable biopolymers of different polysaccharides have been produced from microbes, clams, shrimps, etc., exhibiting varying biological activities. Among all these biopolymers, microbial biopolymers are the most promising substitute for the existing synthetic polymers. Microbial polymers are synthesized intracellularly and extracellularly for their cell functions and survival playing specific roles as reserve materials for energy conservation, symbiosis and osmotic adaptation, protective agents that can be extruded and used for various applications. These biopolymers have exceptional moisture and oxygen barrier characteristics in making films for use in food industries and medical aspects. Microbial biopolymers that have been used include the cellulose, levan, pullulans, xanthan, gellan, kefiran, Haloferax exopolysaccharides, Polyhydroxyalkanoates (PHAs), and poly-3-hydroxybutyrates. Marine bacteria such as Bacillus, Halomonas, Alteromonas, Planococcus, Pseudoalteromonas, Vibrio, Zoogloea, and Thermococcus are found to be hyperproducers for biopolymers. Due to their high quality, sustainability, long shelf life, and biodegradability, they have been receiving interest for innumerable biological activities such as antioxidants, antidiabetic, antiinflammatory, and antimicrobial actions. Microbial marine biopolymers with natural biological activity, structural functions can be tailored using genetic engineering to obtain newer biomaterials with novel functionalities. 2025 Elsevier Ltd. All rights reserved.
creator: Mayegowda S.B.; Manjula N.G.
source: Marine Biopolymers: Processing, Functionality and Applications, pp. 933-954.
publisher: Elsevier
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-044315606-9; 978-044315607-6
format: Online
language: English
type: Book chapter
coverage: Mayegowda S.B., Department of Psychology, CHRIST-Deemed to be University, Kengeri Campus, Karnataka, Bengaluru, India; Manjula N.G., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India

Climate Change Adaptation Strategies for Achieving Net-Zero Economy
subject: Carbon emissions; Carbon neutrality; CC adaptations; Collective knowledge; Developing economies; Environment management system; Global warming; Net zero; Sustainable development
description: Today, net zero economy is garnering lot of interest as climate change concerns have become one of the most pressing issues for the organizations. The negative impact of climate change (CC) could be witnessed across all industries. The direct risk (i.e. impairment cost, damages, forced closure from extreme weather events) and indirect risk (i.e. disruption in the business value chain, loss of infrastructure, etc.) emanating from CC has severely impacted the business model of the companies. It is important for companies to address climate challenges in their core business model and take climate action for achieving net zero economy. The aim of this study is to explore the impact of various organizational factors on the climate change adaptation strategies (CCAS) of manufacturing companies in India. The data was collected from 241 respondents and structural equation modelling (SEM) through Smart PLS 3.0 was employed for analysis in the study. Results indicated that corporate knowledge, processes, objectives, financial resources, collective knowledge, and incentives significantly influence the CCAS for the companies. The findings provide valuable input to the managers, practitioners, and other stakeholders interested in promoting climate actions and achieving a net zero economy. This chapter contributes to the extant literature in the field of corporate CC strategies and actions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
creator: Kumar K.; Singh R.; Sharma A.; Lehri B.P.S.
source: Approaches to Global Sustainability, Markets, and Governance, Vol-2024, pp. 163-183.
publisher: Springer
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 25208772
format: Online
language: English
type: Book chapter
coverage: Kumar K., School of Management, Bennett University, Greater Noida, India; Singh R., Institute of Business Management, GLA University, Uttar Pradesh, Mathura, India, Department of Management Studies, Kumaun University, Uttarakhand, Nainital, India; Sharma A., Christ University, Bengaluru, India; Lehri B.P.S., University School of Business, Chandigarh University, Mohali, India

2D Photonic Crystal Nano Biosensor with IoT Intelligence
subject: Bio-analyte; Internet of things; Nano biosensor; Photonic crystal; Photonic sensor
description: Optical biosensors based on photonic crystals (PCs) offer interesting possibilities for the analysis and identification of bioanalytes. PC is a periodically varying artificial dielectric material that determines the propagation of modes present in the structure. Within dielectric media, there are modes that are selected based on structural perturbations. Changes in the refractive index of biological analytes are used to identify biological samples and are therefore used as sensing media in many applications. Because these PC sensors are designed in the nano range, they have excellent selectivity and sensitivity. The PC is ultra-compact and only small amounts of analyte are required for bioanalyte detection. Quantification of bioanalytes and biochemicals is one of the greatest challenges in the medical and diagnostic fields. However, these electronic devices cannot be directly connected to biological analytes, so the most difficult task is to extract the analyte information and convert it into electronic signals. Optical biosensors offer an attractive way to interrogate the content of bioanalytes because they directly convert biological events into electrical signals. It is also called a self-contained integrated physical medium because of its many applications such as food industry, drug delivery, point-of-care diagnostic sensing devices, and environmental monitoring. Based on the analyte placed on the PC sensor, resonant wavelengths are observed and the measurements are stored in a database. Diseases are identified based on the current users cognitive value, and data is transmitted and monitored over the Internet of Things. 2024 Scrivener Publishing LLC.
creator: Balaji V.R.; Jesuwanth Sugesh R.G.; Sreevani N.R.G.; Dhanabalan S.S.; Sridarshini T.; Hegde G.
source: Internet of Things in Bioelectronics: Emerging Technologies and Applications, pp. 107-124.
publisher: wiley
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-139424190-3; 978-139424187-3
format: Online
language: English
type: Book chapter
coverage: Balaji V.R., Centre for Healthcare Advancement, Innovation and Research, Vellore Institute of Technology, Tamil Nadu, Chennai, India; Jesuwanth Sugesh R.G., Department of Electronics and Communication Engineering, CHRIST University, Karnataka, Bangalore, India; Sreevani N.R.G., Department of Computer Science and Engineering, S.A. Engineering College, Tamil Nadu, India; Dhanabalan S.S., Functional Materials and Microsystems Research Group, School of Engineering, RMIT University, Melbourne, VIC, Australia; Sridarshini T., Department of Electronics and Communication Engineering, College of Engineering Guindy Campus, Anna University, Tamil Nadu, Chennai, India; Hegde G., Centre for Nanoscience and Engineering, Indian Institute of Science, Karnataka, Bengaluru, India

Fluorescent carbon nanoparticle hybrids: synthesis, properties and applications
subject: Applications; Fluorescent hybrid carbon nanoparticles; Functional properties; Properties; Synthesis
description: The development of materials in nanoscale morphologies with novel compositions is one of the major focuses of nanoscience and technology, as these materials are imbibed with unique properties that make them suitable for specific applications in a large variety of fields. Combining two or more chemically distinct constituents into a single nanostructure helps to attain desirable attributes of physical and chemical responses that can be efficiently utilized for specific applications. Hybrid nanomaterials constituted as a combination of multiple components into single nanostructures are known to showcase the properties of the individual components in tandem or synergy. Novel functionalities are also known to arise from integrating Fluorescent carbon nanoparticles (FCNPs) with other counterparts. FCNPs, when combined with other materials to form nanohybrids, provide copious functional attributes due to their inherent properties and the augmentation in properties due to the presence of the other materials. Integrating hybrid counterparts with FCNs improves the functional properties, which can be utilized for various applications such as photocatalysis, bioimaging, bio/chemo sensing, and many more. Herein we present an overview of recent and relevant works related to the synthesis, properties, and applications of fluorescent carbon nanoparticle (FCNP) hybrids. Various synthetic routes of FCNP hybrids via physical and chemical methods are summarized. The properties of the hybrid systems and the influence of hybridization on the properties are discussed. Applications of FCNP hybrids in various fields are also discussed in detail. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
creator: Varghese N.; John V.L.; Das R.; Sivan M.D.; Remadevi A.B.; Vinod T.P.; Nair Y.
source: Fluorescent Carbon Nanoparticles: Fundamentals and Applications, pp. 667-722.
publisher: Elsevier
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-044313591-0; 978-044313592-7
format: Online
language: English
type: Book chapter
coverage: Varghese N., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India; John V.L., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Das R., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Sivan M.D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Remadevi A.B., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Vinod T.P., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Nair Y., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India