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The wellbeing van: A strength-based model for student engagement and promoting student wellbeing
This book chapter takes a proactive approach to address stress by introducing a preventive measure, a relatively new approach implemented on college students in Bangalore, India called the "wellbeing van." The chapter emphasizes the importance of not only managing and coping with stress, but also implementing strategies that promote overall well-being by tapping into the intrinsic factors of the student. The well-being van has shown promising results in reducing stress levels among students in academic institutions. Additionally, the chapter delves into the difficulties students face in maintaining social relationships, conforming to societal expectations, and finding their place. It provides valuable insights on how to foster healthy social dynamics and create supportive environments for students. 2024, IGI Global. All rights reserved. -
Creating a positive school culture through new educational practices
There is an increase in rates of depression and anxiety globally. Schools have moved from a traditional approach of learning and teaching to contemporary forms which includes technology. New revolution has taken place in the world of schooling, with the entry of positive education. Positive education is the application of principles in positive psychology to schooling to enhance the well-being of students and schools. The objective of this review-based chapter is to bring to light the use of various strategies of positive education in classrooms, for middle school students, in order to create a positive learning environment. An evidence-based learning approach is used in this chapter. This chapter address issues and concerns regarding the challenges in applying the strategies of positive education. The main aim of creating a positive school culture in middle school is to enhance the happiness and well-being of students The chapter brings out the need for positive education in the current generation and discusses the implications of the further scope of positive education in India. 2021, IGI Global. -
AI-Driven Home Climate Optimization: The Role of ChatGPT in Enhancing AC Efficiency
The convergence of Internet of Things (IoT) and Artificial Intelligence (AI) has revolutionized home automation, yet traditional air-conditioning (AC) systems still struggle with energy inefficiency. Our research presents a novel solution, integrating AI, IoT, and user-centric design with ChatGPT, to optimize AC systems responsively to occupants' needs. Our methodology employs ChatGPT's capability to analyze historical data, discern patterns, and provide intelligent recommendations for AC operation. This transcends the functions of standard smart thermostats through AI-driven decision-making, optimizing every AC operational moment for both comfort and energy conservation. The system's foundation in data-driven decisions ensures alignment with external and internal conditions, enhancing energy efficiency and user comfort. 2024 IEEE. -
Systematic Review of Interparental Conflict and Intimate Relationship Satisfaction of Adult Offspring
Purpose: The objective of this paper is to synthesize a systematic review and showcase the findings of how interparental conflict affects the adult offsprings relationship satisfaction. Approach: The paper follows a systematic review approach adhering to PRISMA Guidelines. Findings: Three major themes were identified by the researcher that explained the consequences of interparental conflict on adult offspring. The themes are-Offspring Factors, Offspring factors feature the significant components and factors of offspring that highlight the differences in impact of interparental conflict on ones own romantic relationship; Consequences of Interparental Conflict on Offspring, which highlights the various corollaries on offspring of divorce; and Parent Factors help understand the different parental elements that affect relationship satisfaction of adult offspring. Limitations: 4 full text articles could not be accessed by the author, and hence were not accounted for in the study. Practical Implications: The study helps practitioners comprehend the extensive effects of interparental conflict for usage in therapeutic setups. It also highlights research gaps in existing literature such as lack of studies focusing on men, LGBTQ+ population, children from polygamous families and multicultural cohorts. Value/Originality: Despite the numerous studies published on the topic interparental conflict and its effects on adult offspring, no review has been done to the authors knowledge, thereby limiting the accessibility of precise information. The research aims to bridge this gap, and make comprehensive findings easily accessible. 2022 RESTORATIVE JUSTICE FOR ALL. -
Educate, enable and empower future leaders: A model for community development through the child sponsorship program
The Child Sponsorship Program is an attempt by development organizations to reinstate the rights of a child to education, focusing on the overall well-being of a child and the community. The Sustainable Development Goals view Child Sponsorship Program as a tool for contributing towards development goals and targets. While the conventional models of the Child Sponsorship Program focused on the scholastic performance of children up to the elementary level, several progressive sponsorship programs aim at the whole personal development of the children and their community by ensuring community participation and a development-based approach targeting education, livelihood, empowerment, etc. This program channelized by the Centre for Social Action (CSA), CHRIST (Deemed to be) University), Bengaluru, is a child development program that engages with the goals of holistic development of the child and community development through the Child Sponsorship Program in two urban slum communities in Bengaluru. The research aims to study the change brought in the indicators, such as education, behaviour and attitude change, leadership and their holistic development, by the program. It also intends to assess the impact of the program on the development of the family, community and participation of the community members in the academic development of children. The study follows a qualitative study employing in-depth interviewing and Focused Group Discussions with parents and child participants of the communities where the Child Sponsorship Program is implemented. The data is analyzed through qualitative and quantitative software. 2024 Nova Science Publishers, Inc. -
A Machine Learning-Based Cross-Layer DoS Attack Detection Technique for IoT
The most potent and common attacks on Internet of Things (IoT) are Denial of Service (DoS) attacks. Unfortunately, because the attack occurs on numerous layers, a single layer detection method is insufficient and ineffective to counteract these attacks. The current work focuses on the detection of cross-layer DoS assaults using Machine Learning-based multiclass classifiers. Three attacks against Routing Protocol (RPL) and Transmission Control Protocol (TCP) are detected using three ML Classifiers (KNN, Gradient Boosting, Random Forest). The novelty of the study is the design of cross-layer attack datasets using feature engineering technique. The performances of the classifiers are analyzed in presence of both balanced and imbalanced datasets. The results show that Gradient Boosting classifier has highest accuracy of up to 98% with deviation of up to 97%. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Analyzing the Role of LIME and SHAP in Explainable DoS Attack Detection for IoT Systems
Explainable Artificial Intelligence (XAI) based tools such as SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) are extensively used in various detection and prediction approaches. These tools extract feature importance from the datasets and explain the contribution of the features (feature importance) towards detection /prediction output both locally and globally. In the current study a performance analysis is represented on the behaviour of LIME and SHAP explainability towards Denial-of-Service Attack detection in Internet of Things. There are numerous Black-box models including Machine Learning which show high detection accuracies in such case but the output is not interpretable by the security analyst most of the time. this drawback is overcome by introducing LIME and SHAP interpretability to the output of BlackBox model by analysing feature importance of the attack dataset towards detection accuracy. However, LIME and SHAPE has different behaviour towards model-interpretability. SHAP is powerful in global explanation where LIME works efficiently on local interpretation. We have shown that these two different tools perform on same detection accuracies of DoS attack using Machine learning model. A random forest classifier is first selected with high detection accuracy on a simulated DoS attack dataset and at the output SHAP and LIME are executed for achieving both local and global explainability. The comparison shows how SHAP and LIME show strength and weakness in explaining model's behaviour both locally and globally. 2025 IEEE. -
Explainable Intrusion Detection System for Internet of Things-explainability with reliability
Explainable Artificial Intelligence (XAI) based Intrusion Detection System (IDS) (X-IDS) has transformed the traditional IDS into interpretable and transparent system with the goal of providing interpretable justification for IDS models. XAI is now being used to extract more appropriate features for specific cyber-attacks. The black-box model of ML based IDS is not capable of giving reason for false positive to the cyber defense personnel. XAI tools reduces this abstraction by locally interpreting the model's behaviour at some datapoints along with global interpretability. This article proposes an explainable IDS by using XAI tools. We used SHAP (SHapley Additive exPlanations) to identify the variations in feature importance of selected ML based IDSs and explain the variations of their detection accuracies. Also, we have shown that with same dataset, feature importance varies differently with different ML models. This leads us to the conclusion that specific set of features are required for specific ML models while other can be discarded. The explainability proposed in this study also help to select less set of features to overcome time of execution and cost. 2025 IEEE. -
A Hybrid Intrusion Detection System for detecting Cross-layer DoS attacks in IoT
The Internet of Things (IoT) is critically prone to Denial of Service (DoS) attacks at multiple layers. If designed carefully, intrusion detection systems (IDS) can detect these attacks effectively. In the proposed study, we develop a Hybrid IDS to detect Cross-Layer DoS attacks in IoT. The proposed Cross-Layer system reduces the false positive rate considerably than a single IDS. The IDS is designed by ensembling multiple machine learning techniques to avoid overfitting or underfitting. The Hybrid IDS works in two stages, the first stage for detection of the attack occurrence (Anomaly detection) followed by a second stage to classify the attack types (Signature of the attacks). The output of the first stage is Correctly Detected Samples (CDS), which are again tested by the second stage to get Correctly Classified Samples (CCS). Another unique aspect of the proposed study is the dataset generation for different attacks considered. Rather than using the existing dataset, we have developed a trace file in NetSim Simulator by designing an attack environment. At the same time, during the feature selection process, a novel and efficient technique is applied to select the best feature set along with the critical component (CF). Simulation results accurately detect CDS of up to 95% and CCS of up to 96% with a weighted average F1 score. The testing time of the proposed model is also considerably lower than that of individual models, which makes the system efficient and lightweight. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
Enhancing Heritage and Cultural Education through Immersive Audio-Visual Techniques
Growth in immersive media technologies offers unique opportunities for improved learning experiences. This is important in understanding and preserving heritage and cultural elements. The establishment of hybrid classrooms and the adoption of technologies like virtual reality (VR), augmented reality (AR), and artificial intelligence (AI) make the learning experience more immersive and interactive. These experiences can lessen the differences between theoretical and emotional connections which also help learning to be more impactful and effective. This chapter examines how immersive technologies such as audio-visual technology can change the heritage and cultural education of people across diverse ages. The chapter discussed both 3D soundscapes and visual imagery in relation to VR/AR applications and how well these elements are integrated into a unified whole, which provides some interesting immersive cultural heritage education experiences. This study also analyzes use cases such as virtual museum tours with immersive audio-embedded recreations of historical environments, AR-enhanced archaeological site visits supported by ambient sounds, and interactive cultural heritage simulations guided by spatial audio. It further explores successful research integrating 3D soundscapes into AR/VR use cases. These applications highlight potential VR/AR educational contexts where audio-visual enhancement provides multisensory learning that encourages engagement and cognition surrounding heritage and cultural elements. The study also covers the benefits of this approach like increased public engagement with cultural sites and artifacts, improved retention of historical information, and enhanced accessibility to cultural experiences. Ultra-low latency, higher connectivity, and high-speed data transfer would mean that the quality and accessibility offered by 6G will be on another level altogether. On the other hand, AI can bring immersive experiences along with customization, immediate feedback, and interactions in virtual worlds. The chapter further focuses on the opportunities provided by emerging technologies such as 6G and AI tools in improving understanding of culture/heritage preservation and cultures. The chapter ends with the user applicability of audio-visual enhanced VR/ AR in cultural and heritage education. The study suggests continued research and collaboration between various stakeholders to develop better methods to preserve and disseminate the rich heritage and cultural values. Integrating evolving technologies can be an aid to reducing many of the existing limitations by providing better realistic, interactive, and accessible cultural educational tools. 2026 Scrivener Publishing LLC. All rights reserved. -
Enhancing Cultural Learning Through Spatial Audio in a Virtual Reality-Based Chettinad Experience
This chapter examines how immersive cultural learning using spatial audio and Virtual Reality (VR) can be used for enhanced learning. The study has taken a heritage building in Chettinad, Tamil Nadu, known for its palatial mansions with unique architectural properties and sustainable measures for preservation of various resources. On the basis of an experiment to understand user engagement, the chapter focuses on proposing an Immersive Cultural Learning Framework (ICLF), which can be implemented for immersive cultural learning. The study uses a customdesigned VR- based immersive learning environment, to demonstrates how the ICLF can be utilized to deepen cultural understanding and enhance learner engagement. This framework is suitable for representing intangible heritage, particularly through audio cues. The authors hope that this multi- use case study is relevant to various stakeholders, such as educators, cultural practitioners, and immersive media designers, by providing a structured model for facilitating meaningful and inclusive cultural learning in the digital age. 2026 by IGI Global Scientific Publishing. All rights reserved. -
A critical analysis of the contemporary popular malayalam motion pictures as compared to the malayalam movies of 1980s /
Malayalam new wave films prominently made by Adoor Gopalakrishnan and Aravindan bagged several national awards which helped to make a mark in the history of Indian cinema. But these movies were not reaching the wavelength of general audience who found it difficult to relate to it. Later the types of movies were produced which was a synthesis of art films and commercial films. It was called middle stream cinema because it contained the aspect of realistic portrayal of human life and social issues. It was also easy for the general audience to grasp the content of those movies. So the period of 1980s where the middle stream films flourished was a mile stone in Malayalam cinema. The movies which were produced after 2000 in Malayalam also showed a sense of social reality in it compared to the previous decade. With the kind of technical advancement filmmakers of current era are able to experiment in the narratives maintaining the realistic feel of movies. The analysis showcases changing trends of the movies from the Malayalam movie industry taking into consideration the technological advancements, socio-economic and cultural factors. -
Design space optimization for the extraction of anti-thrombin-rich phenolics and flavonoids from Justicia adhatoda L. using response surface methodology and in silico validation of their anti-thrombin activity
The study focused on optimizing the extraction of anti-thrombin phenolics and flavonoids from the stem and flower ofJusticia adhatoda(JA) using response surface methodology (RSM). Key factors utilized for the optimization included HCl concentration (0.11N), extract concentration (50150mg/mL), methanol proportion (0100%), and incubation temperature (32 2C for hot and 6 2C for cold). Fluorescence microscopy identified plant parts enriched with pharmacologically active compounds. The optimized extracts demonstrated substantial levels of phenolics, flavonoids and thrombin inhibitory activity across all samples. Antioxidant activity was measured using the DPPH and ABTS radical scavenging assays. Furthermore, multivariate optimization enhanced the antioxidant properties of the extracts. LCMS analysis of the optimized extracts fromJA(stem and flower) identified the presence of 22 compounds, with anti-thrombin polyphenols and flavonoids predominating, constituting approximately 30% and 35%, respectively. In silico studies, including molecular docking and dynamic simulations, revealed that the flavonoid Naringenin (?4.868kcalmol?1) had a higher inhibitory potential against the thrombin protein compared to the reference drug Dabigatran (?4.269kcalmol?1). This study demonstrated that flavonoids with significant anti-thrombin activity can be effectively extracted fromJ. adhatodastem and flower using this optimized extraction procedure. The Author(s), under exclusive licence to the Institute of Chemistry, Slovak Academy of Sciences 2025. -
Factors influencing family reintergration of children in conflict with law
The Children in Conflict with Law (CCL) is one of the two categories of children under the Juvenile Justice Act, 2015 (JJA, 2015). The behaviour formation of the CCL is significant because it could help the children: (a) from being a possible threat to society, and (b) being disciplined at all stages of their growth. The failure of newlinebehaviour correction of CCL may lead to severe recidivism, and can potentially newlinetransform them into experienced criminals who would not be tolerated by any society. newlineReintegration of CCL back into their family is the best solution for the problem. The newlineresearch Factors influencing family reintegration of CCL is an attempt to find the factors influencing these children, their family environment, and the society as a newlinewhole for reintegration. This fact-finding study has been completed with an explanatory sequential method in a mixed-research approach. The child offender s demographic details, personality, family environment, social support, and protective factors were part of this research s study. The data were collected both quantitatively and qualitatively. The self-made interview schedules and a standardised tool of the newlineBig Five Personality Inventory were used quantitatively. Case studies through in depth interviews and observations were applied qualitatively to collect data. Simple newlinefrequency analysis and cross-case study with thematic analysis have been used for newlineanalysing the data. Though many powerful social support systems like the Juvenile newlineJustice Board (JJB), District Child Protection Unit (DCPU), Police and Non Governmental Organisations (NGO) supported the reintegration of CCL actively, the newlinepersonality of the children and their family environment with its traditions had created adverse effects on the attempts towards reintegration. Twenty to thirty per cent newlineof successful reintegration proves that a scientific and timely intervention can solve newlinethe problems of juvenile delinquency to a great extent. -
Factors influencing family reintegration of children in conflict with law
The Children in Conflict with Law (CCL) is one of the two categories of children under the Juvenile Justice Act, 2015 (JJA, 2015). The behaviour formation of the CCL is significant because it could help the children: (a) from being a possible threat to society, and (b) being disciplined at all stages of their growth. The failure of behaviour correction of CCL may lead to severe recidivism, and can potentially
transform them into experienced criminals who would not be tolerated by any society. Reintegration of CCL back into their family is the best solution for the problem. The research “Factors influencing family reintegration of CCL” is an attempt to find the factors influencing these children, their family environment, and the society as a whole for reintegration. This fact-finding study has been completed with an explanatory sequential method in a mixed-research approach. The child offender’s demographic details, personality, family environment, social support, and protective factors were part of this research’s study. The data were collected both quantitativelyand qualitatively. The self-made interview schedules and a standardised tool of the Big Five Personality Inventory were used quantitatively. Case studies through indepth interviews and observations were applied qualitatively to collect data. Simple frequency analysis and cross-case study with thematic analysis have been used for analysing the data. Though many powerful social support systems like the Juvenile Justice Board (JJB), District Child Protection Unit (DCPU), Police and Non Governmental Organisations (NGO) supported the reintegration of CCL actively, the personality of the children and their family environment with its’ traditions had created adverse effects on the attempts towards reintegration. -
Impact of advertising slogans as a connecting medium between brands and consumers in India /
Advertising Slogans are short memorable words or phrases used in different advertisement campaigns. These have a lot of Impact on the consumers when they think of buying a product. They are the main means of attraction to an aspect of a product. Advertisers use it as an essential tool for the marketing of the brands. In a way these help in connecting people irrespective / respective of their class, creed, culture etc. -
Using Internal Resources for Transition From Temporary to Sustained Competitive Advantage
Since the conception of these terms, 'Competitive advantage' and 'sustainable competitive advantage' have been used interchangeably by many. The focus here is to answer the question, whether competitive advantage is always temporary, owing to the dynamic environment all around, or it can be sustained. In this chapter we also discuss if competitive advantage be measured without the time factor being a constrain. In this chapter, we discuss at length the meaning of Competitive advantage, the different researchers' viewpoints on Sustainability of competitive advantage, role of internal resources in transitioning from temporary to sustained Competitive advantage and how human resource plays an important role in encashing its intangible heterogeneity to sustain competitive advantage. 2025, IGI Global Scientific Publishing. All rights reserved. -
Powering the Future: The Role of Solar Energy in Indian Energy Transition
Energy has become one of the basic human needs, and the expanding population demands more energy for day-to-day needs. As the demand for energy increases, the easy solution for everyone to rely on is the employment of fuel-powered generation systems, which adversely affect the ecology and the environment. In order to address the energy needs of the time without harming the environment, we need considerable investments in the renewable energy sector. Government alone cannot perform this task. A collective effort from government, public, and private investors is required here. Energy conferences like Conferences of Parties (COP) focus on the transition of energy from non-renewable sources to renewable sources and on bringing down the loss of energy during transmission and distribution. This paper current Indian energy sector scenario, suggests solar energy as a solution to Indias energy crisis and discusses the reason behind the lack of motivation for people to invest in solar energy. Addressing these factors can attract more investors to the investment. The research in battery technology and solar panels can help the Indian energy sector focus on energy harvesting and the development of energy-independent systems which will solve the energy crisis to an extent. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Masstige consumption in the emerging market: mediating effects of brand happiness and moderating role of age
Purpose This study investigates how Indian consumers evaluate local and foreign cosmetic brands, focusing on brand prestige, loyalty and evangelism. It explores brand happiness as a mediating variable and age as a moderating factor within the masstige consumption context in an emerging market. Design/methodology/approach A two-phase empirical approach was adopted. Phase 1 involved a comparative analysis of marketing strategies across Lakmand international brands (MAC, L'Orl Paris, and Maybelline) using a total sample of 573 female consumers. In Phase 2, only the high masstige brands (MAC and L'Orl Paris) were retained, and responses from 244 participants were analyzed using structural equation modeling to examine the mediating role of brand happiness and the moderating effect of age. Findings Indian consumers perceive foreign brands like MAC and L'Orl Paris as masstige brands. Masstige brand consumption significantly enhances brand happiness and brand loyalty, while its influence on brand evangelism is fully mediated through brand happiness and brand loyalty. Brand happiness partially mediates the relationship between masstige consumption and brand loyalty, and also indirectly affects brand evangelism through brand loyalty. Age weakens the effect of masstige consumption on loyalty but strengthens the effects of brand happiness on loyalty and brand loyalty on evangelism. Originality/value This study extends masstige marketing literature by integrating emotional (brand happiness) and demographic (age) variables into the brand prestigeloyaltyevangelism framework. It offers practical insights for global and local brands aiming to enhance consumer engagement in emerging markets through differentiated brand strategies. 2025 Emerald Publishing Limited