Browse Items (5511 total)
Sort by:
-
Multi-objective ANT lion optimization algorithm based mutant test case selection for regression testing
The regression testing is principally carried out on modified parts of the programs. The quality of programs is the only concern of regression testing in the case of produced software. Main challenges to select mutant test cases are related to the affected classes. In software regression testing, the identification of optimal mutant test case is another challenge. In this research work, an evolutionary approach multi objective ant-lion optimization (MOALO) is proposed to identify optimal mutant test cases. The selection of mutant test cases is processed as multi objective enhancement problem and these will solve through MOALO algorithm. Optimal identification of mutant test cases is carried out by using the above algorithm which also enhances the regression testing efficiency. The proposed MOALO methods are implemented and tested using the Mat Lab software platform. On considering the populace size of 100, at that point the fitness estimation of the proposed framework, NSGA, MPSO, and GA are 3, 2.4, 1, and 0.3 respectively. The benefits and efficiencies of proposed methods are compared with random testing and existing works utilizing NSGA-II, MPSO, genetic algorithms in considerations of test effort, mutation score, fitness value, and time of execution. It is found that the execution times of MOALO, NSGA, MPSO, and GA are 2.8, 5, 6.5, and 7.8 respectively. Finally, it is observed that MOALO has higher fitness estimation with least execution time which indicates that MOALO methods provide better results in regression testing. 2021 Scientific Publishers. All rights reserved. -
Young adult consumers perception of value proposition towards organic foods: a tweet based analysis using NVivo
Given the increasing focus on sustainable food production, the present study investigates consumer perceptions of organic food and its value proposition. Twenty thousand tweets between May 7, 2020, and May 7, 2021, from Indian consumers concerning organic food were analyzed using the text analytics program (Nvivo) to find an ongoing conversational theme. The study demonstrates that value propositions highlighting personal health attributes (such as being nutritious, dairy-free, and gluten-free) and consumption benefits (like taste and deliciousness) significantly convince people to eat more organic food. Despite the documented environmental benefits associated with organic food consumption, our analysis of customer interactions revealed a limited focus on sustainability or ecological considerations. The study highlights the significance of creating covered messaging tactics targeting various clientele groups. Moreover, it underscores the consequence of employing complex value propositions that emphasize various advantages that promote sustainable consumption practices among clients. Future studies could look into more inclusive platforms and demographic representations to understand peoples perceptions of organic food. Moreover, the implications extend to managerial strategies that support businesses in aligning product offerings with consumer preferences to create a more sustainable food environment. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024. -
Portraying the Other in Textbooks and Movies: The Mental Borders and Their Implications for IndiaPakistan Relations
Borders have been traditionally known just as physical cartographic boundaries on maps. However, the epistemological and ontological underpinnings of Border Studies have witnessed constant evolution in the past century. This has brought to the fore the importance of mental borders along with the physical borders. When it comes to a region like South Asia, the lack of regional integration is conspicuous. One of the reasons for this is the existence of mental borders along with rigid physical borders. The paper seeks to understand the process of creation of mental borders between the two South Asian neighbours by probing it from the point of view of school textbooks and cinematic narrative. School textbooks are the most fundamental building blocks of knowledge in any society. Analysis of these texts brings forward the metaphysical construction of mental borders at a very early stage. Subsequently, cinema as a mode of popular culture is an effective tool in order to understand social phenomena from peoples perspective. Here, the process of meaning creation is largely embedded in linguistics and is derived from peoples experiences. The deconstruction of these data sources leads to the understanding of the process of mental border formation. 2019, 2019 Association for Borderlands Studies. -
Study on academics and stress during Covid-19 outbreak
The objectives of the study were to identify and analyze the leading causes of academic stress that may have significant effects on the success and well-being of students and explore the significant sources of stress among students during their studies during the COVID-19 outbreak. The study was also conducted to understand if their gender-wise differences on the basis of academic stress reported. The sample consisted of 100 students and 15 sources of stress divided into three categories: relations with other people, personal factors, and academic factors. results show the academic sources of stress appeared to be the most stressful for all the students due to the pressure originated from the course overloads and the academic evaluation procedures. The findings from this study may be useful for further research on how these potential sources of stress influence the performance and the health of the students. 2021 Ecological Society of India. All rights reserved. -
Why small business owners get demotivated? Modeling unwillingness to grow using ISM approach
Purpose: Even after establishing their business successfully, many business owners get demotivated, and it leads to unwillingness to grow. This study aims to propose a comprehensive model that represents interrelationships among various personal factors affecting unwillingness to grow. Design/methodology/approach: The personal factors for unwillingness to grow were identified by extant literature, and expert interviews were conducted to establish the contextual relationships among these factors. The interrelationships among the filtered variables have been done using interpretive structural modeling (ISM) and MICMAC analysis was done to determine the importance of each factor in influencing unwillingness to grow. Findings: In total, 30 personal attributes were identified from previous literature, out of which 15 were selected for the final study. The result identifies 7 variables having a strong impact on unwillingness to grow. These attributes are absence of strong network, lack of vision, lack of proactiveness, reluctance to involve external consultants, absence of/small founding team, lack of ambition and improper attitude. Originality/value: The research attempts to create a bricolage of all the important personal factors affecting unwillingness to grow. Previous researches have used few attributes, but with the help of ISM, a graphical modeling technique, it became possible to draw interrelationship between 15 attributes. Further, with the help of MICMAC, the importance of each attribute was determined. 2024, Emerald Publishing Limited. -
Optimization Based Rice Leaf Disease Classification in Federated Learning
Numerous farmers worldwide are impacted by diseases connected to rice leaves that frequently endanger the sustainability of the rice industry. Diseases that affect the leaves of rice plants severely limit their ability to produce rice, and they are typically brought on by bacteria, viruses, or fungi. This paper proposes an innovative classification scheme for rice leaf diseases based on Federated Learning (FL). Here, FL framework comprises two entities, namely nodes and servers. Every node does initial local training using local data. Moreover, produced local model is then updated on server. Model aggregation is done at the server since several nodes update their local models and send them to it. The nodes download the global model that server has generated as a result. The nodes update their training using transferred global model and local model. The following series of actions are taken in the training model. The input image is mainly obtained from a database and pre-processed with a Kalman filter to eliminate noise. Then, numerous operations for data augmentation are applied. In addition, feature extraction is done and generated features are used in LeNet for rice leaf diseases classification. LeNet is trained using the Spotted Hyena Archimedes Optimizer (SHAO). The developed method shows better precision of 91.3%, recall of 92.2%, f-measure of 91.7%, loss function of 3.3%, Mean Square Error (MSE) of 7.3%, and Root MSE of 27.1%. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Student alienation and perceived organizational culture: A correlational study
It is generally expected that the students are supposed to gain an engaging and enriching experience throughout their journey of higher education. The educational institutions have to take up the responsibility to ensure that students are engaged meaningfully and are in a state of well-being. However, in the present scenario, students at colleges and universities have started to feel alienated from the campus life. Research shows that alienation levels are rising among the youth. Factors like stress, coping mechanism, restrictive parental behavior, peer pressure, academic performance, and organizational culture have an impact on alienation among the students. This study attempts to understand the relationship between student alienation and organizational culture in an educational institution. The study employed a descriptive correlational design and collected data from 600 under graduate students studying in a university. The study used student alienation scale and organizational culture assessment instrument to collect the survey data. Study revealed that there is a negative correlation between student alienation and organizational culture. There were 30% variation in student alienation is explained by different types of organizational culture. Clan culture reduces student alienation compared to hierarchy culture. The researchers urge for further research to identify ideal organizational cultures that can promote student engagement and student well-being. 2021, Institute of Advanced Engineering and Science. All rights reserved. -
Nurturing a Better Future for Best Schooling Practices: A Review Portraying the Alternative Schooling, Bangalore, Karnataka, India
Schooling is an essential stage in the socialization of a child. Schooling has a direct effect on a child's educational achievement, acquisition of skills, social cognition, and feelings (Sylva, 1994). Every schooling practice has the potential to mould the child and shape future citizens. Today many different schooling practices are prevailing in India. However, the majority of these schooling practices focus more on the cognitive development of the child and nurtures the values of competition and insecurity among the children. The schools have turned into factories that bring out mechanical individuals who cannot question, express, and voice themselves but who can only become a part of the race of obtaining marks and jobs. This kind of schooling may help in increasing the literacy rates but has not helped in producing truly educated and ethical citizens. It has led to moral degradation in society (Parihar, Parihar & Sharma, 2018). In this context, it is imperative to analyse the alternative schooling practices that nurture a better future. One such school that educates the heart, allows the flowering of the child and nurtures good citizens is the Valley School, Bangalore. Through this article, an attempt has been made to present a description of prevailing schooling practices and the challenges faced in the educational context. The authors put forth a review of schooling practices at valley school, one of the best alternative schools and ignite the discussion on Valley school being the best in nurturing a better future. 2020 Horizon Research Publishing. All rights reserved. -
Can we improve the outcome of pregnancies with low serum PAPP-A in the first trimester?
Low birth weight is associated with various complications, and recent findings rely on the fact that micronized progesterone supplementation leads to improved birth weight, which is crucial for addressing concerns related to fetal growth. Objective: This study aimed to assess the impact of micronized progesterone (VMP4) supplementation on pregnancies with low serum pregnancy-associated plasma protein-A (PAPP-A) multiples of the median (MoM) values during first-trimester screening. Methods: Out of 8933 patients evaluated, 116 pregnant women with low PAPP-A concentrations in their blood and no fetal chromosomal anomalies (CAs) were included. Three groups were formed: group 1 received VMP4 from 11 to 16weeks (29 women, 25%), group 2 received VMP4 from 11 to 36weeks (25 women, 21.5%), and group 3 (62 women, 53.5%) served as controls without receiving progesterone. Results: Results indicated that group 3 had higher rates of complications, including miscarriages (16.37%), preterm delivery (17.8%), and fetal developmental abnormalities (19.4%). Birthweight variations were elevated in pregnancies without progesterone, contrasting with lower variations in VMP4 groups. Group 2, receiving VMP4 until 36weeks, reported the lowest incidence of abortion and preterm birth (PB), along with the highest mean birth weight. Conclusions: The conclusion suggests that 200 mg per day of VMP4 up to 36weeks of supplementation led to fewer placental-related complications in women with very low PAPP-A at first-trimester screening (0.399 MoM). By reporting lower rates of miscarriages, PBs, and fetal developmental abnormalities in the micronized progesterone-treated groups, the study suggests a potential reduction in complications. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Sign reversal of the spontaneous and induced polarisation in a mixture of achiral liquid crystal host and chiral azo dopant
Achiral liquid crystal, possessing orthogonal smectic A and tilted smectic C phases in its phase sequence, was doped with a chiral photochromic azo dopant. It was found that the spontaneous and induced polarisation in the tilted smectic C* phase and in the orthogonal smectic A phase, respectively, change their sign, as well as their magnitude, under illumination with UV light. The origin of this sign reversal effect is considered to be the different sign of the molecular net dipole moment component y of trans- and cis-isomers of the photochromic azo dopant, respectively. This light-induced sign reversal effect seems to have large potential for applications in the light-light controlled photonic liquid crystal devices, based on this effect. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Gas Kinematics and Dynamics of Carina Pillars: A Case Study of G287.76-0.87
We study the kinematics of a pillar, namely G287.76-0.87, using three rotational lines of 12CO(5-4), 12CO(8-7), 12CO(11-10), and a fine structure line of [O i] 63 ?m in southern Carina observed by SOFIA/GREAT. This pillar is irradiated by the associated massive star cluster Trumpler 16, which includes ? Carina. Our analysis shows that the relative velocity of the pillar with respect to this ionization source is small, ?1 km s?1, and the gas motion in the tail is more turbulent than in the head. We also performed analytical calculations to estimate the gas column density in local thermal equilibrium (LTE) conditions, which yields N CO as (?0.2-5) 1017 cm?2. We further constrain the gass physical properties in non-LTE conditions using RADEX. The non-LTE estimations result in n H 2 ? 10 5 cm ? 3 and N CO ? 1016 cm?2. We found that the thermal pressure within the G287.76-0.87 pillar is sufficiently high to make it stable for the surrounding hot gas and radiation feedback if the winds are not active. While they are active, stellar winds from the clustered stars sculpt the surrounding molecular cloud into pillars within the giant bubble around ? Carina. 2024. The Author(s). Published by the American Astronomical Society. -
SOCIAL PROTECTION THROUGH MGNREGS: A STUDY OF RAYALASEEMA REGION IN ANDHRA PRADESH
This article attempts to explain how far MGNREGS provides social protection for marginal and disadvantaged sections. To study this, the present paper focuses on backward regions that are in dire need of government support through welfare measures. The bottom sections of society should be given priority while implementing different social welfare schemes like employment guarantee, food security, pensions, scholarships, etc. In this context, this article aims at analysing the role of MGNREGS in providing social protection for different sections of society. The role of MGNREGS can be understood through employment and income generated by the households participated. How many rural households depend on MGNREGS for employment? How much employment was generated under MGNREGS in the backward regions? What is the contribution of MGNREGS to the household income? To what extent is MGNREGS providing social protection to the rural poor compared to other welfare schemes? The present article explores answers to these questions with reference to the Rayalaseema, one of the most backward regions in Andhra Pradesh. 2022 National Institute of Rural Development. All rights reserved. -
Frustration Tolerance among Indian Youth: Exploring its relationship with Gratitude and Self Awareness
Introduction: For any person, adulthood is a difficult era of life filled with uncontrollable frustrations. The move from adolescence to young adulthood has reverberation as it marks a shift from adolescent's dependency to the chores and independence of young adulthood (Boll, 2017). Upon review, it was found that many researchers have established the effects of frustration, however, there is little research and evidence-based practice utilizing positive psychology interventions to target low frustration tolerance in youth. A vast body of research have established the positive consequences of gratitude and self awareness in one's life. The present study aims to explore the relationship between gratitude, self awareness and frustration tolerance among young adults. Methodology: Participants were selected through purposive sampling method. Data were collected from 167 young Indian adults (Females-94, Males-73) aged 19-35 years. Participants completed the three inventories measuring the variables of interest using the online survey forms. Data were analyzed by the SPSS software using descriptive analysis, correlation coefficients, and linear regression. Results: Findings show no significant relationship between gratitude and frustration tolerance (r=-0.071). However, there is a significant positive correlation of self awareness with frustration tolerance (r=0.271). The regression model showed that 7.3% of variance in frustration tolerance can be predicted by self awareness. Conclusion: Thus, self-awareness can be viewed as one of the important factors that impact frustration tolerance. The findings are consistent with previous research that has shown that self-awareness has important effects on performance, and emotions. Future implications are discussed. 2022 RESTORATIVE JUSTICE FOR ALL. -
Theorizing the Phenomenon of Women Empowerment in a Course to Discover the Purpose of Life for Marginalized Women in IndiaEvidence from Phool
The present study attempts to theorize the phenomenon of empowerment of marginalized women in the context of social enterprises involved in sustainable business practices. To extract the deeper meaning of empowerment of such women, an inductive process using Gioias method was employed by interviewing 13 marginalized women working in the social enterprise Phool. The venture is involved in recycling sacred floral waste into incense sticks, organic fertilizers, and other sustainable packaging solutions. The findings of the study were built on the Social Identity Theory, which emphasizes the fundamental need to be a part of social groups. Our findings suggest that for marginalized women, empowerment manifests in dignity and honour, economic sovereignty and social admittance and embracement. The study contributes to the extant literature on womens empowerment by intersecting with the phenomenon of marginalization in the context of social enterprise and explains how marginalized women experience empowerment at work. 2023 Birla Institute of Management Technology. -
Reinventing Coffee: Pandemic Lessons from Sleepy Owl Coffee
[No abstract available] -
A Study on Bivariate Inverse Topp-Leone Model to Counter Heterogeneous Data: Properties, Dependence Studies, Classical and Bayesian Estimation
In probability and statistics, reliable modeling of bivariate continuous characteristics remains a real insurmountable consideration. During the analysis of bivariate data, we have to deal with heterogeneity that is present in data. Therefore, for dealing with such a scenario, we investigate a novel technique based on a Farlie-Gumbel-Morgenstern (FGM) copula and the inverse Topp-Leone (ITL) model in this study. The idea is to use the oscillating functionalities of the FGM copula and the flexibility of the ITL model to propose a serious bivariate solution for the modeling of bivariate lifetime phenomena to counter the heterogeneity present in data. Both theory and practice are developed. In particular, we determine the main functions related to the model, like the cumulative model function, probability density function, and various useful dependence measures for bivariate modeling. The model parameters are estimated using the maximum likelihood method and Bayesian framework of the Markov Chain Monte Carlo (MCMC) methodology. Following that, model comparison methods are used to compare models. To explain the findings and show that better models are recommended, the famous Drought and Burr data sets are used. 2025, Thai Statistical Association. All rights reserved. -
On bivariate Teissier model using Copula: dependence properties, and case studies
To precisely represent bivariate continuous variables, this work presents an innovative approach that emphasizes the interdependencies between the variables. The technique is based on the Teissier model and the Farlie-Gumbel-Morgenstern (FGM) copula and seeks to create a complete framework that captures every aspect of associated occurrences. The work addresses data variability by utilizing the oscillatory properties of the FGM copula and the flexibility of the Teissier model. Both theoretical formulation and empirical realization are included in the evolution, which explains the joint cumulative distribution function F(z1,z2), the marginals F(z1) and F(z2), and the probability density function (PDF) f(z1,z2). The novel modeling of bivariate lifetime phenomena that combines the adaptive properties of the Teissier model with the oscillatory characteristics of the FGM copula represents the contribution. The study emphasizes the effectiveness of the strategy in controlling interdependencies while advancing academic knowledge and practical application in bivariate modelling. In parameter estimation, maximum likelihood and Bayesian paradigms are employed through the use of the Markov Chain Monte Carlo (MCMC). Theorized models are examined closely using rigorous model comparison techniques. The relevance of modern model paradigms is demonstrated by empirical findings from the Burr dataset. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024. -
Theory and practice of a bivariate trigonometric Burr XII distribution
The precise modeling of bivariate continuous characteristics remains an actual challenge in probability and statistics. In this paper, we explore a new strategy based on the combination of a simple polynomial-sine copula and the Burr XII distribution. The idea is to use the oscillating functionalities of the polynomial-sine copula and the flexibility of the Burr XII distribution to propose a serious bivariate solution for the modelling of bivariate lifetime phenomena. Both theory and practice are developed. In particular, we determine the main functions related to the distribution, like the cumulative distribution function, probability density function, conditional density function, and hazard rate function, and perform a moment analysis, including various useful measures for bivariate modeling. On the practical plan, we derive the maximum likelihood and Bayes estimates for the unknown parameters. Also, the bootstrap confidence interval and the highest posterior density interval are obtained. The performance of the proposed bivariate distributions is examined using a simulation study. Finally, one data set is considered to illustrate its flexibility for real-life applications. 2023, African Mathematical Union and Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature. -
A study on comparisons of additive regression frailty models to counter heterogeneity: Bayesian strategies and case study
Historically, the primary goal of conventional survival study methods has been to reduce the frequency of failures over time. If the associated observed and unobserved variables are not known when studying such events, this can have detrimental effects. Frailty models offer a tempting solution for investigating the impact of unknown variables in such a case. In this article, we assume that frailty affects the hazard rate. We find that the weighted Lindley frailty models, which use general versions of the Weibull and log-logistic type II distributions as the baseline distributions, are a reliable method for ensuring the influence of endogenous variability. The parameters involved are estimated according to different loss functions using the Bayesian structure as the basis of Markov Chain Monte Carlo. Bayesian evaluation strategies are then implemented to evaluate the models. The results are demonstrated on known data of kidney infections. It is shown that the novel models outperform those based on the inverse Gaussian and gamma frailty distributions. 2024 Taylor & Francis Group, LLC.