Paradigm shift from AI to XAI of Society 5.0: Machine-centric to human-centric
Artificial intelligence; eXplainable AI; Human-centric; Machine-centric
Artificial intelligence (AI), the Internet of things (IoT), and robotics have gained significant momentum to meet expectations in many applications. Data management has become a tedious job as businesses grow. The interruption of AI in business functions and a growing web-based service economy in the last decade have led the IoT to grow faster, reducing the tedious job. Timely interruption of eXplainable artificial intelligence (XAI) reduces the technical complexities. On the one hand, the AI of Industry 4.0 promises the easiness of business functions. On the other hand, XAI of Society 5.0 tends to ease people's social life. This chapter ascertains the impact of AI on significant business functions and tries to bring out challenges AI faces and ethical values that must be considered in business functions. This chapter also tries to shed some light on the evolution of XAI of Society 5.0 and reasons for the shift from AI to XAI or machine-centric to human-centric and concludes by highlighting the future of XAI. 2024 Elsevier Inc. All rights reserved.
XAI Based Intelligent Systems for Society 5.0, pp. 3-28.
Paul Frank M., Department of Commerce, Christ (Deemed to Be University), Karnataka, Bengaluru, India; George G., Department of Commerce, Christ (Deemed to Be University), Karnataka, Bengaluru, India
Doctoral Research by Youth: Analyzing the Role of Socio-Demographic Variables on Flourishing and Grit
Academic achievement; Demographic variables; Doctoral attrition; Doctoral education; Flourishing; Grit
The study examines the importance of socio-demographic variables like age, gender, family environment, and relationship with parents and friends in deter-mining non-cognitive traits such as flourishing and grit, during the tenure of doctoral research. The cross-sectional correlational study comprises 400 Ph.D. scholars from a Central University in India, who were given a personal data sheet, the Flourishing Scale and the Grit Scale, for assessment. The results of the F-test showed that flourishing was significantly related to age, family environment and relationship with friends, and grit was significantly related to family environment and relationship with friends. Analysis using Pearson correlation found a weak correlation between flourishing and the three subscales of grit, namely ambition, consistency of interest, and perseverance of effort. Findings suggest that the socio-demographic variables are important contributors in the long-term goal-oriented behaviors and that flourishing and grit are two related but not correlated variables that influence completion and attrition of the doctoral research. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Deb S.; Sunny A.M.; Thomas S.; Deb S.; Ashra F.G.; Sujith V.S.; Paul D.
Handbook of Youth Development: Policies and Perspectives from India and Beyond, pp. 531-544.
Deb S., Department of Applied Psychology, Pondicherry University (A Central University), Puducherry, India; Sunny A.M., PGCE Teacher Trainee, UCL Institute of Education, London, United Kingdom; Thomas S., Teacher of Psychology, St. Georges College, Weybrigde, United Kingdom; Deb S., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Ashra F.G., Department of Applied Psychology, Pondicherry University (A Central University), Puducherry, India; Sujith V.S., Department of Applied Psychology, Pondicherry University (A Central University), Puducherry, India; Paul D., Department of Applied Psychology, Pondicherry University (A Central University), Puducherry, India
Challenges and Solutions of Using Social Internet of Things (SIoT) in Healthcare and Medical Domains
The revolutionary idea that combines social networks with the Internet of Things (IoT) is called the Social Internet of Things (SIoT). SIoT is a term that refers to the modelling of social networks formed by connecting people and things. SIoT was designed to assist organizations in achieving specific goals, such as boosting usability, scalability, and productivity and satisfying business service requirements. The application layer of the SIoT model performs several tasks like managing the relationship, discovering the services, configuring services, and managing reliability among the devices. The information collected about SIoT is categorized by identifying the relationships between devices. SIoT creates an event identity based on data from IoT applications. This identity may then be transferred with the SIoT network and made available to other IoT apps. Thus, the SIoT network offers guidance services for reusing data from IoT applications across many IoT applications and customizing IoT solutions to meet the unique needs of individual users, hence boosting overall communication. SIoT technology entails the more efficient use of recent data to create favorable patient outcomes in healthcare and medicine. The enormous volume of data generated by SIoT-connected devices has allowed various developments and applications in the healthcare domain. SIoT leverages sensors and other connected devices in these domains to boost social solutions efficiency. Without question, sensors used for creating this kind of network model that can collect vast amounts of data are on the verge of becoming a pervasive part of our lives. If the processing and management are not carried out optimally in SIoT, there is a significant risk that the data will lose its efficacy. This chapter examines SIoT challenges and approaches in the healthcare and medical domain. SIoT approaches may assist users in detecting a patients aberrant behaviour. These approaches are capable of detecting and forecasting patients health states. The SIoTs relational models, such as community sharing, equality matching, and equality matching, also provide IoT services to users. The sensing layers functionalities are compared to those of the network layer and application when assessing SIoT services. The proposed hierarchical network model uses gateways, switches, and IoT devices to establish social relationships. CISCO packet tracer is used to construct and operate this mainly built social network for healthcare. This specially designed social network for the healthcare domain can easily be implemented and controlled by any hospital management. 2023 selection and editorial matter, Gururaj H L, Pramod H B, and Gowtham M; individual chapters, the contributors.
Advances in SIoT (Social Internet of Things), pp. 91-109.
Arulkumar N., Department of Computer Science, Christ Deemed to be University, Bangalore, India
Youth and Media Literacy in the Age of Social Media
Media literacy; News literacy; Youth development; Youth education
Living in the age of information means information is all pervasive, uncensored, unreliable, and with the potential to influence. The unfettered access to information and communication through social media is a double-edged sword in the hands of youth. The impact of this was explored from sociocultural and mental health perspectives. Specifically, the role of media literacy in combating the challenges posed by usage of social media was explored in this chapter. Various theories, frameworks, models, and components of media literacy were analysed. Impact of the various media literacy interventions on the youth, case studies of specific information literacy programs across regions, and other relevant critiques were reviewed and consolidated. Further to this, recommendations have been presented on creating robust in-school, and outside-school media literacy programs for the youth. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Handbook of Youth Development: Policies and Perspectives from India and Beyond, pp. 255-268.
Pant S., Via News Didi, Jalandhar, India; Nataraj B.M., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Reddy K.J., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India
Garbage Management and Monitoring System Using IOT Applications
Internet Protocol; Sensible Garbage Bin; Ultrasonic Sensors
The main purpose of this application, in addition to boosting the vision of a smart city, is to reduce humankinds effort and resources while simultaneously enhancing the vision. The squashing of the dustbin will occur on a regular schedule. It will be possible to manage waste more efficiently when these sensible garbage bins are implemented on a large scale and replace our previously designed dumpster, as it eliminates the need for waste to be piled up on the roadside in the first place. When managing the trash containers, wireless sensor systems in networks (WSN) in connection with the IoT technologies are used. On the other hand, sensors are used to monitor the container contents in real-time, with results displayed on the website, and the sensed contents are then evaluated to determine the optimal container distribution. This allows for the processing of a variety of waste types depending on the needs of the customer. As a result of installing ultrasonic sensors in each bin, garbage levels are continuously checked. As a result of this notification, the bin will be cleared. 2023, Bentham Books imprint.
Kumaraswamy A.; Kolli C.S.; Aurelia S.; Vasantha Kumar P.; Lakshminarayana M.
Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective, pp. 125-140.
Kumaraswamy A., Sri Venkateswara College of Engineering, Tamilnadu, Sriperumbudur, India; Kolli C.S., Department of Computer Science, Gandhi Institute of Technology and Management, Andhra Pradesh, Visakhapatnam, India; Aurelia S., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India; Vasantha Kumar P., School of Excellence in Law, The Tamil Nadu Dr. Ambedkar Law University, Chennai, India; Lakshminarayana M., Department of Medical Electronics Engineering, M S Ramaiah Institute Of Technology, Karnataka, Bengaluru, India
Role of AI in the inventory management of agri-fresh produce at HOPCOMS
Inventory management is vital for maintaining the efficiency of supply chain management. Fruits and vegetables being perishable in nature should involve inventory management to avoid wastage and loss in terms of over stocking and stock out situations. The present study focuses on the role of artificial intelligence (AI)-powered inventory management of fruits and vegetables at HOPCOMS, a cooperative society founded in Bangalore. In the road to satisfy the customers, it is necessary for the society to come up with different strategies to manage the inventories in which a retailer confronts overstock and stock out situation, affecting the profit of the society. Therefore, a study was conducted with the help of structured questionnaire among 122 retailers of HOPCOMS outlets in Bangalore. The results obtained from the study suggest that inventory valuation method positively influences AI-powered demand forecasting and customer order fulfillment, and AI-powered demand forecasting is positively related to customer order fulfillment. 2023, IGI Global. All rights reserved.
Advanced Machine Learning Algorithms for Complex Financial Applications, pp. 115-131.
Raghavendra A.N., CHRIST University (Deemed), India; Amalanathan S., CHRIST University (Deemed), India
Algorithmic Strategies for Solving Complex Problems in Financial Cryptography
Complex functions; Financial cryptography; Polynomial functions; Private key; Public key; Recursive functions
Cryptography is used in applications where subversion of the communication system could lead to financial loss, which is known as financial cryptography. In contrast to classical encryption, which has mostly been utilized for military and diplomatic purposes throughout recorded history, financial cryptography focuses on privacy and security. The techniques and algorithms required for the security of financial transfers as well as the development of new money types are included in financial cryptography. Financial cryptography includes proof of work and several auction mechanisms. Spam is being restricted by using hashcash. The applications of financial cryptography have been observed to be highly diverse. Financial cryptography is incredibly difficult and calls for knowledge from many different, incompatible, or at the very least, hostile disciplines. The higher risk factor that efforts to build financial cryptography systems will reduce or eliminate crucial strategies that they are trapped among financial application and cryptography, or between accountants and programmers. Digital finance is playing a big role in how financial services are organized globally. Digitalization, data analysis, and increased processing power enable a wide range of new financial services and transactions. The importance of economic development has attracted a lot of attention to this economic development enabled by digital financial technology (Fintech). Cryptography has begun to expand swiftly in the Fintech sector, and both investors and financial bankers are becoming more favorable toward digital assets. The observed market factors are directly related to how people behave when they engage in financial activity. The result analysis in this behavioral strategies of financial cryptography from a specific market analysis is still limited, despite the abundance of research and theories on the underlying motives of peoples behavior in financial frameworks. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
Rajasekar V.; Venu K.; Sharma V.; Saracevic M.
Homomorphic Encryption for Financial Cryptography: Recent Inventions and Challenges, pp. 207-219.
Rajasekar V., Department of CSE, Kongu Engineering College, Perundurai, India; Venu K., Department of CSE, Kongu Engineering College, Perundurai, India; Sharma V., CHRIST (Deemed to be University), Delhi-NCR, India; Saracevic M., Department of Computer Sciences, University of Novi Pazar, Novi Pazar, Serbia
Machine learning approaches towards medical images
Clinical imaging relies heavily on the current medical services' framework to perform painless demonstrative therapy. It entails creating usable and instructive models of the human body's internal organs and structural systems for use in clinical evaluation. Its various varieties include signal-based techniques such as conventional X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US) imaging, and mammography. Despite these clinical imaging techniques, clinical images are increasingly employed to identify various problems, particularly those that are upsetting the skin. Imaging and processing are the two distinct patterns of clinical imaging. To diagnose diseases, automatic segmentation using deep learning techniques in the field of clinical imaging is becoming vital for identifying evidence and measuring examples in clinical images. The fundamentals of deep learning techniques are discussed in this chapter along with an overview of successful implementations. 2023, IGI Global. All rights reserved.
Gayathri S.P.; Ramasamy S.S.; Vijayalakshmi S.
Structural and Functional Aspects of Biocomputing Systems for Data Processing, pp. 124-145.
Gayathri S.P., The Gandhigram Rural Institute (Deemed), India; Ramasamy S.S., International College of Digital Innovation (ICDI), Chiang Mai University, Thailand; Vijayalakshmi S., Department of Data Science, Christ University (Deemed), India
Synthesis, Characterization of Chromium Oxide Powders and Coatings
APS; Chromium oxide; EDS; Plasma sprayable powder; SEM; Spray dryer; XRD
The chromium oxide powders are transformed into plasma sprayable particles by using synthetic polymers for agglomeration. In order to carry out the agglomeration process, spray drying technique was employed. This research work highlights the significance of the process variables that control the synthesis of plasma spray powder and consequently, the properties that were suited for plasma sprayoating. Energy Dispersive Spectroscopy (EDS) was used to characterize the elemental composition, while scanning electron microscopy (SEM) was used to analyse the morphology and powder grain sizes and X-ray diffraction (XRD) was used to identify the phase structure. And for the development of coatings on the substrates, Atmospheric plasma spray (APS) technique was used. The plasma sprayable powders were created with the intention of investigating for use as corrosion-resistant coatings. 2023 Trans Tech Publications Ltd, All Rights Reserved.
Jaiswal V.; Ekka H.; Choudhary S.; Souza C.D.; Joy B.; Sanjai S.G.
Solid State Phenomena, Vol-350, pp. 41-49.
https://doi.org/10.4028/p-QVU6Kk https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204693890&doi=10.4028%2fp-QVU6Kk&partnerID=40&md5=2967ece070b80ab46a5bdb18dfd8ad56
Jaiswal V., CHRIST (Deemed to be University), Department of Mechanical & Automobile Engineering, Bangalore, India; Ekka H., CHRIST (Deemed to be University), Department of Mechanical & Automobile Engineering, Bangalore, India; Choudhary S., CHRIST (Deemed to be University), Department of Mechanical & Automobile Engineering, Bangalore, India; Souza C.D., CHRIST (Deemed to be University), Department of Mechanical & Automobile Engineering, Bangalore, India; Joy B., CHRIST (Deemed to be University), Department of Mechanical & Automobile Engineering, Bangalore, India; Sanjai S.G., CHRIST (Deemed to be University), Department of Mechanical & Automobile Engineering, Bangalore, India
Intelligent Optimized Delay Algorithm for Improved Quality of Service in Healthcare Social Internet of Things
Internet of Things (IoT) interconnects billions of devices by establishing a network that adheres to International Organization of Standardization (ISO) standards. These devices communicate with each other by sharing data regulated by the application. This is performed to accomplish a task or service that the application demands. The social or human-like behaviors are adapted in the IoT environment forming the Social IoT (SIoT). The SIoT integrates social networks in IoT-connected devices, making them unique and identifiable. Recent advancements in networking, intelligent network management, battery management, remote sensing, sensors, and other related technologies convinced users and designers to adopt IoT even for large-scale applications where the data involved is enormous. Leveraging the advancements in medical IoT, which focuses on healthcare to patients, can improve its service by removing redundant manual processes, long wait times, and providing other automated services. The advancements in real-time healthcare IoT devices and wearables make a strong case for implementing SIoT in the healthcare domain. SIoT in the healthcare domain has the potential to benefit users on a large scale. This chapter comprehends the challenges and solutions of using SIoT in medical and healthcare solutions from a networking quality of service (QoS) perspective. In addition, this chapter compares the intelligent algorithm, which can be used to improve the QoS of SIoT. Achieving higher QoS is necessary for healthcare services, especially while handling data from emergency and intensive care units. These data cannot tolerate errors and delays. Intelligent network management has become unavoidable in the health and medical services to achieve a higher degree of QoS system, which indirectly decreases data transfer time. The data from the sensor devices sent across the network leads to data loss and delay in data transmission due to congestion in the network and gateway devices. The optimized algorithms incorporated with the delay-based algorithm improves the QoS predominantly and reduces the delay in data transfer. Similarly, the particle swarm optimization algorithm allocates resources over the network and dynamically makes the network adapt to increased and reduced data flow, which reduces the delay and improves the QoS. Intelligent optimized delay algorithm (IODA) is proposed to improve the network performance by reducing the delay and using available bandwidth for data transfer in SIoT. 2023 selection and editorial matter, Gururaj H L, Pramod H B, and Gowtham M; individual chapters, the contributors.
Advances in SIoT (Social Internet of Things), pp. 39-53.
Anija Starry B., Department of Computer Science, Christ University, Bangalore, India; Nismon Rio R., Department of Computer Science, Christ University, Bangalore, India
Does the cryptocurrency index provide diversification opportunities with MSCI world index and MSCI emerging markets index? Cryptocurrency and portfolio diversificaiton
The study is extending the ongoing discussion on Bitcoin as a diversification asset with the stock market. Some studies analysed cryptocurrencies as a diversification asset, and few challenged the same. During times of turbulence, it is crucial to gauge further diversification opportunities. Henceforth, the study revisits the opportunities of hedging and diversification with the crypto market from a broader perspective. Markets Index to Bitwise 10 Crypto Index Fund (BITW). The study has contributed methodologically to the existing literature by applying DY with symmetric and asymmetric dynamic conditional volatility models. The results provide in-depth shreds of evidence that BITW is insulated, neither taking volatilities from other countries nor contributing to the volatilities of other countries. The study provides insight to policymakers and investors.The study captures the spillover from MSCI World Index and MSCI Emerging Markets Index to Bitwise 10 Crypto Index Fund (BITW). The study has contributed methodologically to the existing literature by applying DY with symmetric and asymmetric dynamic conditional volatility models. The results provide in-depth shreds of evidence that BITW is insulated, neither taking volatilities from other countries nor contributing to the volatilities of other countries. The study provides insight to policymakers and investors. 2023, IGI Global. All rights reserved.
Advanced Machine Learning Algorithms for Complex Financial Applications, pp. 94-114.
Yadav M.P., Amity University, India; Sharma S., FIIB Delhi, India; Parmar B., CHRIST University (Deemed), India
Suicide and Youth: Positive Psychology Perspective
Adolescents; Crisis management; Intervention; Positive psychology; Preventive; Suicide; Suicide prevention; Young adults
Suicidality and self-harm among adolescents and young adults need immediate attention and support. This is often seen as a cry for help where a feeling of entrapment experienced by individuals pushes them to see self-harm as a coping mechanism. Lack of social support and co-morbid emotional disorders influences suicidal ideation into planning and action. A general feeling of helplessness that gets triggered often leads to anguish. These emotions get internalized and directed inwards leading to self-directed anger which facilitates a suicidal act. Early detection and identification can prevent the loss of lives and help individuals to learn effective ways of coping. Gatekeeper Training for caregivers, teachers, and their peers will help in detecting the early signs of suicide risk. Intervention based on positive psychology will help not only in crisis management but also as preventive and maintenance therapy in holistic mental health. The concepts of hope, forgiveness, self-compassion, gratitude, and resilience can be incorporated into the intervention programs to build a better therapeutic system for youths dealing with suicidality. Practicing effective coping mechanisms every day and making it a ritual of ones daily life is the need of the hour. Integrating adaptive ways of emotional expression and learning matured means to deal with painful emotions and trauma is what needs to be incorporated into the intervention plan. The chapter focuses on these aspects and aims to make a connection between assessing and easy identification of youths in distress related to suicidality and providing a holistic intervention to help them cope with the situation. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Handbook of Youth Development: Policies and Perspectives from India and Beyond, pp. 327-342.
Banerjee T., Department of Psychology, CHRIST (Deemed to Be University), Bengaluru, India; Reddy K.J., Department of Psychology, CHRIST (Deemed to Be University), Bengaluru, India
A Narrative Review on Experience and Expression of Anger Among Infertile Women
Anger suppression; Infertility; Psychosocial intervention
Infertility is stressful among women though there are several technological advancements in treating infertility. Anger is a powerful emotion resulting due to stigma and oppression due to infertility, especially among women. Studies have also proven that women have a poor quality of life in the context of infertility. Women are prone to suppressing anger rather than dealing with anger in the present. Psychosocial intervention and psychoeducation help women manage anger and maintain healthy quality of life. Springer Nature Switzerland AG 2023.
Handbook of Anger, Aggression, and Violence, pp. 1005-1024.
Subramani D., Department of Psychology, CHRIST (Deemed to be University), Yeshwanthpur Campus, Bengaluru, India; Rathnasabapathy M., Department of Psychology, School of Social Sciences and Languages, VIT University Chennai Campus, Vellore Institute of Technology, Chennai, India
Transformative Learning, Community and Leadership for Sustainability Action
Randles S.; Wadham H.; Skritsovali K.; Hart C.; Hoque S.; Kettleborough H.; Klapper R.; Marron R.; Taylor D.; Walley L.
The Bloomsbury Handbook of Sustainability in Higher Education: An Agenda for Transformational Change, pp. 87-108.
Randles S., Manchester Metropolitan Universitys Faculty of Business and Law, United Kingdom; Wadham H., Manchester Metropolitan University Business School, United Kingdom; Skritsovali K., Liverpool John Moores University Business School, United Kingdom; Hart C., Department of Strategy, Enterprise and Sustainability, Manchester Metropolitan University, United Kingdom; Hoque S., Manchester Metropolitan University, United Kingdom; Kettleborough H., Manchester Metropolitan University Business School, United Kingdom; Klapper R., Manchester Metropolitan University, United Kingdom; Marron R., Manchester Metropolitan University Business School, United Kingdom; Taylor D., Manchester Metropolitan University Business School, Institute of Enterprise and Entrepreneurs, United Kingdom, Christ University, India; Walley L., Manchester Metropolitan University Business School, United Kingdom
The Need for Universal Design for Learning in Higher Education for the Specially-AbledAn Essay
Educators at any grade level or subject area can apply Universal Design for Learning (UDL), which is a set of principles for curriculum development that attempts to give all students an equal opportunity to learn. The provision of instructional alignment between objectives, instructional design, methods of delivery and assessment of learning outcomes, which could be individualized and which works for all is blueprinted in a UDL framework. The approaches and methods for instruction in UDL are adaptable and not the same for all the learners or it is not one size fits all approach according to the National Center for Universal Design for Learning (Harper, 2018). The guiding principles of UDL include acceptance and practice of various means of equivalent representation or acquiring information, various means of equivalent expression or demonstrating the learning and various means of equivalent engagement to enhance learning. Given the multiple potentials of specially-abled (SA) students, inclusive learning through UDL provides an environment of diversity and unison. The key attempt is to provide instructional delivery of the same topic to different learners with different learning abilities and approaches in the same course, resulting in comparable outcomes. This chapter highlights the various strategies of UDL that may be extended to assist SA students transition through the pandemic, some of which include customizing learning contents with assured accessibility, individualizing learning goals as per student potential, flexible/customized assessments, and qualitative grading. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023, corrected publication 2024.
Improving Inclusivity in Higher Education: Addressing the Digital Divide in the COVID Pandemic, pp. 193-202.
Biju S., School of Business and Management, Christ University, Bengaluru, India; Pallath V., Medical Education focuses on Faculty Development, Faculty of Medicine, Universiti Malaya (UM), Kuala Lumpur, Malaysia
Flow Cytometry Analysis of In Vitro Induced Polyploidy in Plants
Colchicine; Flow cytometry; Fluorescence; In vitro polyploidy; Ploidy analysis
Polyploidy is the condition of having more than two sets of chromosomes. The mechanism of polyploidy helps in deriving special traits like an increase in biomass, an increase in the size of various organ systems, and secondary metabolite content for the progeny. Various chemical compounds (colchicine, trifluralin, and oryzalin) that have the capacity to alter the mitotic cycle were used for the purpose of inducing polyploidy. Various techniques, such as counting of chromosome number, chloroplast number, determination of pollen diameter, and estimation of leaf stomatal density and size, were developed to analyze the polyploidy of the plants. However, these methods are not reliable for their regular use. Thus, of all the above-mentioned approaches, the estimation of ploidy level by flow cytometry (FCM) has been the most popular over the last few decades. Flow cytometry is now extensively used for the verification of haploidy, aneuploidy, and polyploidy. The ease of sample preparation, fast acquisition, and accurate measurements have made the method popular in the domains of plant cell biology, systematics, evolution, genetics, and biotechnology. The current chapter discusses the induction of polyploidy and its importance in plant breeding. It also emphasizes the importance of FCM in the analysis of polyploidy and enumerates the various polyploidy studies involving the application of FCM. 2023, Bentham Science Publishers.
Sudheer W.N.; Banadka A.; Nagella P.; Al-Khayri J.M.
Genome Size and Genetic Homogeneity of Regenerated Plants: Methods and Applications, pp. 125-150.
Sudheer W.N., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560 029, India; Banadka A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560 029, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560 029, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia
Mitigating Mental Health Burden of Youth During COVID-19 Through Resilience and Hope: Evidences from India and Germany
Anticipatory Crisis; COVID-19; Hope; Mental Health; Resilience; Stress
In the global crisis caused by the COVID-19 pandemic, young professionals and graduating students experience considerable psychological adversity due to the uncertainty surrounding their futures. Given the positive psychological outcomes and the potential to alleviate stress, we examine the role of resilience and hope in causing a substantial variance in the stress response to anticipation of crisis among Indians living in India and Germany. Resilience, hope, crisis apprehension, and the psychological response to the COVID-19 pandemic were measured among participants from India and Germany (n = 650) via an online survey using non-probability convenient sampling. Parallel mediation and conditional indirect effects showcase the differential roles of resilience and hope among socio-culturally similar but geographically divergent groups. Hope mediates the effect of pandemic-led crisis apprehension on perceived stress among those residing in India; resilience operates to mitigate stress among those from Germany. Findings highlight the contradistinctive role of resilience and hope in reducing stress and imply an urgent need for promotion of ameliorative practices. Resilience effectively mitigates the psychological burden of the COVID-19 crisis and can be promoted to reskill individuals; however, elevating hope in a crisis obligates prudence. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Handbook of Youth Development: Policies and Perspectives from India and Beyond, pp. 515-529.
Mukherjee T., Work and Organizational Psychologist, Muenster, Germany; Deb S., Ministry of Youth Affairs and Sports (MYAS), Government of India (GOI), Sriperumbudur Tamil Nadu, Pennalur, 602 105, India; Deb S., Department of Psychology, CHRIST (Deemed to Be University), Bengaluru, India
IoT Enabled Energy Optimization Through an Intelligent Home Automation
The benefit of IoT devices is that they allow for automation; nevertheless, billions of connected devices connected with one another waste a substantial amount of energy. IoT systems will have difficulty in wide adoption if the energy requirements are not adequately managed. This study proposes a solution for IoT devices to regulate their energy consumption. Both hardware and software aspects are taken into consideration. Using a mobile computer or smartphone with Internet connectivity to interact with actual scenarios has grown more prevalent as technology has advanced over the years. An intelligent home automation system based on android applications has been developed to save electricity and human energy. This study aims to create comprehensive Energy optimization through intelligent home automation utilizing widely available mobile applications and Wi-Fi technologies. The devices are turned on and off using Wi-Fi. Intelligent home, in the area of electronics, automation is the most purposely misused term. Numerous technological revolutions have occurred as a result of this demand for automation. These were more essential than any other technologies due to their ease of use. These can be used in place of household current switches, resulting in sparks and, in rare instances, such as fires. A unique energy optimization system was developed to control household appliances while taking advantage of Wi-Fi benefits. 2023, Bentham Books imprint.
Chitra Kiran N.; Viswanatha Rao J.; Aurelia S.; Skanda M.G.; Lakshminarayana M.
Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective, pp. 108-124.
Chitra Kiran N., Department of Electronics and Communication Engineering, Alliance University, Karnataka, Bengaluru, India; Viswanatha Rao J., VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India; Aurelia S., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India; Skanda M.G., Department of Industrial & Production Engineering, JSS S&T University, SJCE, Mysore, India; Lakshminarayana M., Department of Medical Electronics Engineering, M S Ramaiah Institute Of Technology, Karnataka, Bengaluru, India
Date Palm: Genomic Designing for Improved Nutritional Quality
Bioinformatics; Date palm; Genetic map; Molecular markers; Nutritional composition; Whole genome
Date palm (Phoenix dactylifera L.) is one of the oldest fruit trees known where a significant amount of breeding has been carried out to improve various agronomic and nutritional characteristics. Numerous studies have been done to improve the nutritional composition and quality of the fruit due to its significant biological properties. Various strategies have been formulated for improving the agronomic characters through biofortification as well as preserving through postharvesting techniques. Modern breeding practices using molecular markers have significantly helped to identify the phenotypic, as well as genotypic, diversity for the selection of superior date palm cultivars, advanced agronomic characters like nutritional quality, disease resistance, and yield. Availability of the whole genome sequence, organellar sequence, and genetic map of date palm has helped breeders in modification and improvement of the characteristics. With the availability of bioinformatic tools and gene editing knowledge, the nutritional composition of date palm can be effectively manipulated to develop better crops along with good agronomic characters and resistance to diseases. The authors have compiled the nutritional composition of date palm fruits and detail the strategies to edit the genome and improve nutritional quality. Springer Nature Singapore Pte Ltd. 2023.
Sebastian J.K.; Nagella P.; Mukherjee E.; Dandin V.S.; Naik P.M.; Jain S.M.; Al-Khayri J.M.; Johnson D.V.
Compendium of Crop Genome Designing for Nutraceuticals, pp. 1097-1160.
Sebastian J.K., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Mukherjee E., Amity Institute of Biotechnology, Amity University, Noida, India; Dandin V.S., Department of Biology, JSS College, Dharwad, India; Naik P.M., Department of Botany, Karnatak University, Karnataka, Dharwad, India; Jain S.M., Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, South Africa; Johnson D.V., Agriculture Consultant, Middlebrook Ave, Cincinnati, OH, United States
Dietary Plants, Spices, and Fruits in Curbing SARS-CoV-2 Virulence
Patients with coronavirus disease 2019 (COVID-19) infection can suffer from a variety of neurological disorders; therefore, there is a demand to investigate specific treatments. As a part of this endeavor, academic databases related to clinical, neuropathological, and immunological biomarkers were examined for searching promising drugs to treat neurological disorders in the COVID-19 group. Also, the neuroprotective potential of herbs for patients with post-COVID-19 has been evaluated using PubMed, MEDLINE, Scopus, EMBASE, Google Scholar, EBSCO, Web of Science, Cochrane Library, WHO database, and ClinicalTrials.gov. The terms used for the Boolean search were Indian herbs and neuroprotective potential, post-COVID-19 symptoms, and so on. Based on our knowledge, nervous system immunity is an inherent characteristic of the nervous system because it is highly immunologically active. It was found that patients infected with COVID-19 often experience neurological symptoms such as muscle pain, headaches, confusion, dizziness, and loss of smell and taste. The most commonly used herbs for neurological disorders are Bacopa monnieri, Mucuna pruriens, Withania somnifera, Acorus calamus, Phyllanthus emblica, Blumea balsamifera, Asparagus racemosus, Cannabis sativa, Convolvulus prostratus, Swertia chirata, Vitex negundo, Nyctanthes arbor-tristis Linn, Centella asiatica, Curcuma longa, Ocimum tenuiflorum. It is widely recognized that herbal drugs have the potential for treating neurological diseases such as Parkinsons, Alzheimers, and cerebrovascular diseases in COVID-19 patients. However, clinical trials are still limited. The suitability of drugs depends on the investigation of biomarkers and pathobiological mechanisms. Thus, it is necessary to use modern scientific approaches and technologies to conduct comprehensive mechanistic studies to understand the therapeutic potential of herbs for neurological disorders associated with the SARS-CoV-2 infection. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Kaviya M.; Geofferina I.P.; Poornima P.; Rajan A.P.; Balamuralikrishnan B.; Arun M.; Al-Dhabi N.A.; Arasu M.V.; Karthika P.; Kallidass S.; Ramya S.; Anand A.V.
Ethnopharmacology and Drug Discovery for COVID-19: Anti-SARS-CoV-2 Agents from Herbal Medicines and Natural Products, pp. 265-316.
Kaviya M., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Geofferina I.P., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Poornima P., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Rajan A.P., Department of Bio-Medical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Tamil Nadu, Vellore, India; Balamuralikrishnan B., Department of Food Science and Biotechnology, Sejong University, Seoul, South Korea; Arun M., Department of Life Sciences, CHRIST Deemed to be University, Bengaluru, India; Al-Dhabi N.A., Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia; Arasu M.V., Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia; Karthika P., Department of Zoology, Avinashilingam Institute for Home Science and Higher Education for Women, Tamil Nadu, Coimbatore, India; Kallidass S., Department of Animal Science, Manonmaniam Sundaranar University, Tamil Nadu, Tirunelveli, India; Ramya S., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Anand A.V., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India