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Order Sum Graph of a Group
The concept of the order sum graph associated with a finite group based on the order of the group and order of group elements is introduced. Some of the properties and characteristics such as size, chromatic number, domination number, diameter, circumference, independence number, clique number, vertex connectivity, spectra, and Laplacian spectra of the order sum graph are determined. Characterizations of the order sum graph to be complete, perfect, etc. are also obtained. 2023 University of Baghdad. All rights reserved. -
Coset component signed graph of a group
In this paper, the notion of a newly derived signed graph called a coset component graph, based on cosets of subgroups of a group is introduced. Let G be a group and H be its subgroup. Then, the coset component graph of H in G, denoted by ?cc, is a simple graph with the vertex set consisting of elements of G and two vertices say, a, b ? ?cc are adjacent if either aH = bH or Ha = Hb. A coset component signed graph of H in G is a signed graph whose edges get the sign in accordance with their inclusion in the edge set of the corresponding coset component graph. The structure and important properties of the coset component signed graphs are determined in this paper. 2024 World Scientific Publishing Company. -
Non-inverse signed graph of a group
Let G be a group with binary operation *. The non-inverse graph (in short, i*-graph) of G, denoted by ?, is a simple graph with vertex set consisting of elements of G and two vertices x, y ? ? are adjacent if x and y are not inverses of each other. That is, x ? y if and only if x * y ?= iG ?= y*x, where iG is the identity element of G. In this paper, we extend the study of i*-graphs to signed graphs by defining i*-signed graphs. We characterize the graphs for which the i*-signed graphs and negated i*-signed graphs are balanced, sign-compatible, consistent and k-clusterable. We also obtain the frustration index of the i*-signed graph. Further, we characterize the homogeneous non-inverse signed graphs and study the properties like net-regularity and switching equivalence. Amreen J., Naduvath S., 2024. -
Effect of variable viscosity on marangoni convective boundary layer flow of nanofluid in the presence of mixed convection
The effect of variable viscosity on Marangoni convection in immediate vicinity of the plate is discussed. The mathematical model of the problem is highly nonlinear partial differential equations transforms into two nonlinear ordinary differential equations by applying suitable similarity transformations. The reduced similarity equivalences are then solved numerically by RungeKutta Fehlberg-45 order method. The consequences of pertinent parameters like variable viscosity parameter, convection parameter and volume fraction are analyzed on various flow fields. The results acquired are on par with erstwhile published results. The results of the present study shows that for greater values of angular momentum the buoyancy effects dominate, augmentation in mixed convection carries away the free convection currents from the plate, increase in volume fraction of solid enhances the thermal conductivity of the fluid and it is important to note that Marangoni effect is constructive for cooling processes. 2019 by American Scientific Publishers All rights reserved. -
Role of mixed nanofluids on fluid flow and intensify energy transfer in a boundary layer region driven by a free convective force
This research study explores boundary layer flow and intensification of heat transfer through a porous medium accompanied by buoyant forces with the support of appended mixed nanofluids. The generated partial differentiation model is altered to a couple of the highly complicated nonlinear differentiation model by support of the similarity conversion. The resultant model is then resolved by the shooting method for finding the initial approximation and thereafter the Runge-Kutta-Fehlberg 45th-order method is used to get the desired result. The energy transfer and the flow of mixed nanofluids are analyzed by considering vital factors, like convection, porous and volume fraction. The acquired results fairly agree with erstwhile published articles. The major finding is that for greater values of the volume fraction, both fluid flow and energy transfer of a mixed nanofluid will be greater when compared with a regular nanofluid. 2019 Wiley Periodicals, Inc. -
Offering copyright protection for non-fungible tokens in India: Legal frameworks and strategies
Non-fungible tokens have caused a complete revolution in the digital space regarding how one thinks of unique assets such as pieces of art, music, and digital collectables, and how one trades them. Originating from blockchain technology, NFTs first came into existence in the year 2014 on a platform known as Counterparty. Since then, they have grown as an influential part of the digital economy. NFT is nonfungible, each token is unique and cannot be replaced-which results in unprecedented possibilities and issues in the digital world. However, with the increasing demand for NFTs, several legal issues have emerged particularly in India, where the laws are still underdeveloped. As NFTs are representations of copyrighted works primary issues arising from NFTs are also related to Copyright. Ambiguities with NFTs are misapprehension over ownership, the challenge of managing and licensing NFTs using smart contracts, and the risk of unauthorized minting of copyrighted materials. This paper addresses these critical issues evaluates the current legal status of NFTs in India and explores their intersection with copyright laws. The focus is particularly on buyers' rights, including ownership complexities, the management of rights through licensing and assignments, and the issues around copyright infringement. The research highlights the urgent need for a legal framework for NFTs, delves into the intricacies of NFT ownership, transfers, and licensing, examines the challenges of unauthorized minting and the enforcement of buyers' rights and offers possible solutions. 2025 John Wiley & Sons Ltd. -
Non-linear Dynamics of Trade Openness and Income Inequality: New Evidence from a Dynamic Panel Threshold Analysis
This study examines the non-linear relationship between trade openness and income inequality in BRICS countries (Brazil, Russia, India, China and South Africa) over the period 19902020. It explores how different levels of trade openness affect inequality, with an emphasis on identifying threshold effects. Using a dynamic panel threshold estimation technique, the analysis reveals a U-shaped relationship: trade openness reduces inequality up to a critical threshold of 50.877%, beyond which further liberalisation exacerbates inequality. The JKS panel causality test indicates a unidirectional causal relationship from trade openness to income inequality. These findings highlight the need for calibrated trade policies in BRICS nations. Promoting trade openness up to the identified threshold may reduce inequality, but liberalisation beyond this point should be accompanied by redistributive and institutional measures to mitigate adverse distributional outcomes. 2025 Indian Institute of Foreign Trade -
An intelligent black-box testing model for isolating logical flaws and anomalies in applications using GTMRM
Web Applications (WAs) are becoming more vulnerable to attacks as they are more popular. Nevertheless, the conventional testing methodologies didnt differentiate the Logical Flaws (LFs) and anomalies in WAs, thereby increasing the misclassification rate. Hence, in this paper, a novel black-box testing framework that incorporates an advanced technique called Gated Transformer Memorized transferred Recurrent Mishswish unit (GTMRM) is proposed for distinguishing between LFs and other vulnerabilities, thus enhancing the reliability of WAs. Initially, the user registration is carried out, followed by Hash-based Message Authentication Code Hash-based Message Authentication Code (HMAC) creation. Afterward, the registered users log into the application to request a Uniform Resource Locator (URL) for access. In the meantime, to authenticate the user, the HMAC verification is performed. Once the authentication is successful, the user is granted for accessing the functionalities. Thereafter, the black-box-centric LF and anomaly identification is done; here, the raw dataset is initially pre-processed. Subsequently, concerning a similar domain, the pre-processed data is clustered. Next, the features are extracted, followed by feature selection. Then, from the grouped data, the graph is constructed. The pattern labelling is carried out centered on the graph features. Lastly, the Logical Flaws (LF), anomaly, and legitimate access are proficiently classified by the proposed GTMRM. A compensation measure is applied in the case of a LF. After that, the data is securely stored in the cloud server with an accuracy of 99.14%. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. -
Critical analysis of national and international laws in relations to intimate partner violence :
The term violence refers to varied perceptions of unacceptable behaviour. The newlinenature of the act suggests that it is inflicted by the superior over the inferior. newlineThus gender constitutes a significant factor of the study. The research identifies that women are subjected to gender based inequalities in different areas of life newlineand domestic environment is not an exception. Domestic Violence , a manifestation of gender inequality, is prevalent in many forms. The most newlinecommon form of domestic violence is identified as Intimate Partner Violence newline(IPV) by the national and international statistics. newlineThe research is drawn upon the objective to understand the different factors that newlinecontribute to IPV and to critically examine the legal framework for the protection of women against IPV in India. Research adopts a human rights based approach to understand the inferior status of women drawn upon gender newlineinequality and thus to critically examine the legal framework in India for protection of women against IPV. newlineThe study is divided into five chapters which specifically analyses the status of women in the Indian society and the role of law to protect women in intimate relationships. Comparative study of UK and US laws with special reference to international instruments is conducted. Identifying the major drawback of law, the study proves that the existing legal framework is inadequate to protect women from intimate partner violence . newline newline newline -
Adoption Laws in India : A critical Analysis through a Sociological Lens
Golden Research Thoughts Vol.2, Issue 6, pp.1-7 ISSN No. 2231-5063 -
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Role of Dufour's gland and mandibular gland secretion in Ant Colony organisation and defense mechanisms of Camponotus compressus and Oecophylla smaragdina
Ants are eusocial insects and observed in 3 castes secreting a wide variety of pheromones for surviving in the colony. They can be sex pheromone, trail pheromone and alarm pheromone. These pheromones help in the recruitment of workers, mating, foraging food. These pheromones contain a single compound from a single gland or from two glands. This study analyses the knowledge of these pheromones and their chemical structure. The mandibular gland and Dufours gland of Oecophylla smaragdina and Camponotus compressus were extensively studied to provide a valuable resource in chemical ecology research. Limited research has been done on pheromones released by Oecophylla smaragdina and Camponotus compressus. The Dufour's gland is one of the most well-developed glands, playing vital roles in defense, foraging, information exchange, and reproduction. The chemical components were analyzed using gas chromatography-mass spectrometry. The secretions from the Dufours gland and mandibular gland contained high concentration of n-undecane, which serves as an alarm pheromone, and compositions varied among different castes. This highlights a research gap and the need to investigate the differences in the chemical composition between these two ant species, we analyse the diverse chemicals released from the Dufours gland and the mandibular gland. Authors CC4-NC-ND, ScienceIN. -
Leaf Disease Detection in Crops based on Single-Hidden Layer Feed-Forward Neural Network and Hierarchal Temporary Memory
Insects, mites, and fungi are common causes in plant disease, which can significantly reduce yields if not addressed promptly. Farmers are losing money as a result of crop illnesses. As the average under cultivation increases, it becomes more of a burden for farmers to keep an eye on everything. In this study, the median filter is used as a preprocessing step to transform the input image into a grayscale representation which used YCbCr color space. Otsu's segmentation is used to divide photographs that contain bright items on a dark background. Feature extraction using Grey Level Co-occurrence Matrix (GLCM). The proposed technique, known as ELM-HTM combines a simple yet adaptable extreme learning machine (ELM) with a Hierarchical Temporal Memory (HTM). This approach outperforms the ELM and HTM model with an accuracy of about 98.8%. 2023 IEEE. -
Towards a Framework for Supply Chain Financing for Order-Level Risk Prediction: An Innovative Stacked A-GRU Based Technique
Order financing is changing the game in the banking and financial supply chain industry. It's great for SMEs and opens up new revenue streams for logistics and finance companies. But in order to find the weak spots offered by banks and other financial institutions, companies need to undertake thorough risk assessments right now. Careful timing is crucial for training the model, extracting features, and preprocessing. Outlier identification and missing value handling are the first steps in preprocessing, which also includes normalization and standardization to improve data integrity and reduce unit discrepancies. Principal component analysis makes use of multivariate statistics to aid in feature extraction, guaranteeing effective data representation. Careful consideration of every detail is required during the training of a Stacked-A-GRU model, which follows attribute selection. Impressively outperforming state-of-the-art algorithms SAFE and GRU, the suggested solution achieves a remarkable correctness rating of 97.34%, indicating notable progress in predicting accuracy. 2024 IEEE. -
Revolutionizing the financial landscape: A review on human-centric AI thinking in emerging markets
The emergence of Industry 4.0 has transformed the financial landscape by integrating unconventional technologies and artificial intelligence (AI) into consumer interactions. This chapter explores the evolving paradigm of human-centric AI-thinking in the context of emerging customer interactions in making financial decisions. The review analyses the opportunities and the challenges that arise from the integration of AI tools and human-centric approaches in addressing the diverse needs and behaviours of consumers within emerging financial markets. More specifically, the review critically examines the utilization of AI-driven technologies, such as predictive analytics, natural language processing (NLP), and machine learning algorithms, in customising the financial services to cater the emerging-market consumers. Moreover, the current study explicates how AI enables personalized customer interactions, risk assessments, and ethical decision making and financial inclusion strategies while considering the socioeconomic and cultural landscapes. The study has focussed on addressing the concerns related to data privacy, risk assessment, and transparency towards AI-powered financial solutions with ethical standards. Through an exhaustive analysis of current trends, and empirical evidence from the existing literature, this review highlights the inevitability of human-centric AI-thinking approach towards financial services decision making. It emphasizes the importance of congruent AIdriven financial solutions in the context of banking where the determinants such as empathy, financial literacy, ethical considerations, and human values plays a significant role in finding the financial services in emerging markets. This research explores the challenges and prospects and has made commendations to all the major stakeholders such as industry stakeholders, policymakers, practitioners, customers, and service providers to create a dynamic financial landscape of Industry 4.0 in AI technologies that embrace a human-centric ethos to meet the evolving needs of consumers within emerging financial ecosystems. 2024, IGI Global. All rights reserved. -
Personality and Psychological Predictors of Instagram Personalized Ad Avoidance
The purpose of this paper is to apply the meta-theoretical model of motivation and personality (3M) of Mowen to study consumers ad avoidance in the context of online personalized advertisements on Instagram. The current study developed a theoretical framework that links personality traits with reactance arousal and ad avoidance behaviours. Based on the data analysis, it was found that consumers with higher general self-efficacy tend to have more reactance arousal (situational level trait) compared to ad irritation, ad skepticism (surface traits), and ad avoidance behaviours towards personalized advertising on Instagram. The findings will help advertisers and marketers in segmenting the market better based on young users efficacy levels, navigational habits, personality traits, functional motives, and demographic variables to effectively reach the targeted consumers. 2023 IGI Global. All rights reserved. -
Short term effects of brief need based psychoeducation on knowledge, self-stigma, and burden among siblings of persons with schizophrenia: A prospective controlled trial /
Asian Journal of Psychiatry, Vol.7, pp.59-66, ISSN: 2211-3797. -
Short term effects of brief need based psychoeducation on knowledge, self-stigma, and burden among siblings of persons with schizophrenia: A prospective controlled trial
Siblings of persons with schizophrenia are important in providing long-term social support to the patients. Interventions addressing their needs are very sparse. Hence, this study aimed at testing the short-term effects of brief need based psychoeducation on knowledge, self-stigma, and burden among siblings of persons with schizophrenia. In this prospective controlled open label trial, 80 siblings of persons with schizophrenia were allocated in equal numbers to the brief need based psychoeducation group and the treatment-as-usual group. The outcomes were measured at baseline, and after the first and third month post-intervention. RM-ANCOVA was conducted to test the effect of the brief psychoeducation on outcome scores. The groups were similar with respect to socio-demographic, clinical, and outcome scores at the baseline. There was a significant group time interaction effect on knowledge (F = 8.71; p < 0.01; ?p 2 = 0.14) and self-stigma scores (F = 14.47; p < 0.001; ?p 2 = 0.21), wherein the brief psychoeducation group showed a significant increase in knowledge and reduction in self-stigma with medium effect size through baseline to the third month follow-up as compared to the treatment as usual group. We also observed a significant main effect of time; irrespective of the group allocation, there was a significant increase in the knowledge through baseline to third month follow-up (F = 5.69; p = 0.02; ?p 2 = 0.09). No main or interaction effects of group and time were observed on burden. The findings suggest that brief need based psychoeducation may increase knowledge about the illness and reduce self-stigma. Further systematic studies are warranted to test this intervention for long-term effects. 2017 Elsevier B.V. -
Community-based educational intervention on emotion regulation, self-esteem, and behavioural problems among school children
Recently, there has been a trend where higher education institutions are designing and implementing community-based educational interventions for underprivileged children in the community. It is important to understand whether these interventions are useful to the children in improving their psychosocial development. In this chapter, the author discusses the learnings from an explanatory sequential mixed methods study which aimed at assessing the impact of community educational intervention provided by a higher educational institution on self-esteem, emotional regulation and bbehavioralproblems among adolescents in rural Karnataka. The study included 250 adolescents who were beneficiaries of community educational intervention and another 250 who were non-beneficiaries. Besides this, the chapter also highlights the qualitative results grounded in the focus group discussions to understand the stakeholder's perspective on community educational interventions. Finally, the author demonstrates the processes and mechanisms of change and presents a critical discussion from the quantitative and qualitative data analytic lens. The author anticipates that community educational interventions provided by higher educational institutions are extremely impactful. Several critical factors of stakeholders, institutional, and rural communities might bring change and sustainability in benefits among rural adolescents. 2024 Nova Science Publishers, Inc. -
Perspectives about Illness, Attitudes, and Caregiving Experiences among Siblings of Persons with Schizophrenia: A Qualitative Analysis
Background: Siblings of persons diagnosed with schizophrenia (SPS) are one among the major sources of support for persons with schizophrenia. There is a dearth of psychosocial literature on SPS in India. This qualitative study explored the perspectives about the illness, attitudes, and caregiving experiences of SPS. Materials and Methods: Qualitative audio-recorded interviews were conducted with 15 SPS, purposively selected from a tertiary mental health hospital of Southern India. A general inductive approach was adopted to analyze the qualitative data. Results: Four broad themes were identified from qualitative data analysis. (1) SPS described several explanatory models of mental illness in terms of causal attributions and treatment care. (2) They had expressed emotion toward their ill siblings, such as criticality, hostility, and emotional over-involvement. (3) They experienced objective and subjective burden while caring for their ill sibling. In spite of all these, (4) they were part of their ill siblings' care in terms of ensuring regular follow-ups and drug adherence and supported their livelihood. They coped up with adaptive as well as maladaptive strategies. Conclusion: SPS provide significant support to their affected siblings. However, they do have non-biomedical models of mental illness and negative attitudes toward patients and experience burden. Hence, psychosocial interventions may help SPS while caregiving for their affected siblings. 2019 Indian Psychiatric Society - South Zonal Branch.