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GCMS analysis, anthelmintic, antibacterial and antifungal properties of unripe fruit peel extract of Musa paradisiaca L.
Endoparasites, namely, Ascaris sp., Taenia sp., Haemonchus contortus, Ancylostoma duodenale etc. are of serious concern since they can lead to financial loss if farm animals are attacked by these parasites. Finding out cost-effective natural remedies for these infections is an area of research in the field of veterinary sciences. The current study was undertaken with a view to explore the anthelmintic property of banana peel along with its other bioactive properties. The fruit is available abundantly throughout the year and the peel is often discarded as waste. This study has shown that the extracts of the Nendran variety of Musa paradisiaca L. fruit peel have potent anthelmintic, antibacterial and antifungal activities. Preliminary cytotoxicity studies have also given positive results. GCMS analysis has revealed the major phytochemicals responsible for the bioactive properties of the peel. Since the United Nations has urged countries to align research and development with a thrust on sustainable development, these kinds of natural alternatives are best suited in place of synthetic drugs. 2023 World Research Association. All rights reserved. -
Ge-GaAs-Ge Heterojunction MOSFETs for Mixed-Signal Applications
A lattice matched heterojunction intraband tunnel (HJIBT) FET is proposed. The performance dependence of the device on conduction band (CB) discontinuity at source-channel and drain-channel interface is addressed using numerical simulation. Various mechanisms governing transport phenomena in the HJIBT FET are investigated in detail for different CB offsets (CBOs). For low gate to source voltage ( ${V}_{\text {GS}}$ ), thermionic emission is found to be the most significant transport mechanism. For moderate ${V}_{\text {GS}}$ , intraband tunneling phenomenon dominates over thermionic emission and continues to remain so. At high ${V}_{\text {GS}}$ , band-to-band tunneling occurs in HJIBT FETs. The proposed device shows improved figures of merit such as drain-induced barrier lowering (DIBL), ON-current ( ${I}_{ \mathrm{\scriptscriptstyle ON}}$ ) to OFF-current ( ${I}_{ \mathrm{\scriptscriptstyle OFF}}$ ) ratio ( ${I}_{ \mathrm{\scriptscriptstyle ON}}/{I}_{ \mathrm{\scriptscriptstyle OFF}}$ ), subthreshold slope (SS), gate capacitance ( ${C}_{\text {G}}$ ), ${g}_{m}$ (transconductance), and ${f}_{T}$ (cut-off frequency), with respect to conventional MOSFET. Also, the design of a high-performance hybrid 6T-static random access memory (SRAM) is proposed. 1963-2012 IEEE. -
Gems of Prediction: From Clarity to Carats - Unveiling Diamond Prices with Machine Learning in Waikato Environment for Knowledge Analysis
Background: This research focuses on using Weka's toolkit to test machine learning models for predicting diamond prices. The complexity of diamond value characteristics, such as carat, cut, color, and clarity, motivates the study to find the most accurate models. The goal is to promote fairer market processes and customer education. Methods used: The research rigorously preprocesses a diamond attributes dataset using Weka for analysis. Various machine learning algorithms are examined, including simple algorithms like Decision Stump and ZeroR, sophisticated models like M5P and REP Tree, and advanced ensemble approaches like Bagging with REP Tree. Model performance is evaluated using train/test splits (80-70-60%) and cross-validation (5-fold and 10-fold) with metrics such as Correlation Coefficient, MAE, and RMSE. Results achieved: The research finds that ensemble approaches, particularly Bagging with REP Tree, outperform simple and sophisticated models in diamond price prediction. These techniques demonstrate higher accuracy and lower error rates, highlighting the need for multiple models to capture the complexity of diamond valuation. Simple models provide benchmarks and insights into dataset trends but are less precise. Concluding remarks: This study contributes to the understanding of machine learning algorithms for diamond price prediction, an important economic valuation subject. It demonstrates the effectiveness of complex data analysis methods using Weka. The research also highlights the accessibility and sophistication of machine learning at the crossroads, with Weka's cutting-edge algorithms making complicated analytical methods more accessible for practical, everyday use. This work adds to the knowledge of the dynamics of diamond prices and the role of machine learning in economic research. 2024 IEEE. -
GEMS: Gas-Enhanced Marine Search for Optimizing Fusion Mamba-Attention Networks for Fake Review Classification
The rise of fake reviews has become a major problem for trust in e-commerce sites. As for traditional machine learning solutions, they fail to capture the nuanced language that separates real reviews from fake reviews. In this work, we introduce a new hybrid metaheuristic algorithm that optimizes the Fusion Mamba-Attention Network (FMA-Net) for fake review detection, called GEMS (Gas-Enhanced Marine Search). GEMS is a unique combination of the exploration capabilities of the Enhanced Marine Predators Algorithm and the exploitation process of Henry Gas Solubility Optimization, offering a dual-phase optimization design for high-dimensional, asymmetric, metaheuristic-configured GEMS-optimized FMA-Net. Geometric enhancement of GEMS optimization provides GEMS-optimized FMA-Net with an accuracy of 96.8%, F1-score of 95.4%, and AUC-ROC of 97.2%, marking 37% improvement over the current best models for fake review detection on the Yelp, Amazon, and Google Reviews datasets. We lower the average time of hyperparameter optimization using GEMS with FMA-Net to achieve 68% reduction in overall time spent in grid search and 42% lower for complexity in comparison to genetic algorithms. The contributions of this work are the first hybrid metaheuristic for transformers, a mathematically formulated GEMS algorithm, and an extensive empirical study for proving multi-dimensional metric plausibility. 2026 by the authors. -
Gen AI Gen Z: understanding Gen Zs emotional responses and brand experiences with Gen AI-driven, hyper-personalized advertising
Introduction: Gen Z, a tech-savvy consumer group, has highly evolved in its approach to new-age advertising. The rise of Generative Artificial Intelligence (Gen AI) has revolutionized advertising by enabling hyper-personalized content, making it essential to understand its influence on Generation Z (Gen Z) population. This study explores the responses of Gen Z participants in India to Generative Artificial Intelligence based, hyper-personalized advertisements, with a specific focus on emotional responses and brand interactions which are significant predictors of advertisement success. Methods: Using qualitative research methods, semi-structured interviews were conducted with 40 Gen Z participants. Thematic analysis of the data was performed to understand the major themes pertaining to emotional responses and brand interactions to this form of Gen AI-driven advertising. Results: Two major themes and five sub-themes were revealed through thematic analysis. The first theme, diverse emotional responses, encompassed two sub-themes, curiosity and interest as well as fear and suspicion. The second major theme, enhanced brand experience, encompassed three sub-themes of advanced targeted marketing; initial attraction and brand engagement; and brand connection and loyalty, as perceived by the participants. Discussion: Findings imply that brands can harness Gen AI-driven, hyper-personalized advertisements to evoke meaningful emotions, enhancing consumer loyalty and building stronger, more personal connections with their audience. Copyright 2025 Peter, Roshith, Lawrence, Mona, Narayanan and Yusaira. -
Gen Z and the Road to Electric Vehicles: Navigating Practical Barriers
Electric Vehicles (EVs) are regarded as a solution to lowering a countrys carbon emissions in numerous countries worldwide. When compared to traditional fueled vehicles, also known as Internal combustion engine vehicles (ICEVs), EVs emit significantly less carbon. Numerous countries including India, are looking to increase EV adoption as part of their plan to curb their overall carbon output. However, transforming a substantial portion of a countrys vehicles to EVs, comes with its own set of challenges in areas like infrastructure required to maintain EVs as well as meeting the increased demand in energy in a sustainable and environment friendly manner. The present study dives into the exploration of perception among Gen Z towards adoption of EVs particularly related to factors such as cost, infrastructure, functionality and environment. The study signifies the importance of functionality features in electric vehicles such as facilities, technological features and benefits in the long run that have significant effect in effecting the perception of Gen Z in adopting electric vehicles. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Gen z student expectations towards employer attractiveness: An indian perspective
A study was undertaken to determine Generation Z management students' perceptions as to what factors would attract them to seek a career in an organization, and their expectations in this context. Over 330 students from both first- and second- year management programs participated in the self- administered printed questionnaire based on 25- item employer attractiveness scale and included additional items like choosing the top five items from the 25 list. A focus group discussion was also undertaken to determine what the perceived benefit to the students was for each of the 25 items would deliver to them. The study also compared the findings with published research and notes the common factors in terms of employer branding, employee engagement industry studies on work and links to other models like Herzberg's hygiene factors. The results were compared to similar studies conducted in Sri Lanka and Australia and substantive similarities were reported. 2024, IGI Global. All rights reserved. -
Gender and Ethnicity Recognition System Based on Convolutional Neural Networks
The classification of Gender and Ethnicity has been utilized in diverse scenarios, specifically in the realm of human-computer interaction, visual surveillance, and electronic customer services. Predicting the gender and ethnicity of individuals presents a significant obstacle due to its complex characteristics. The escalating prevalence of social media has emphasized the utmost importance of independently predicting gender and race. In this research endeavor, a framework is utilized which utilizes a Convolutional Neural Network to forecast gender and ethnicity by utilizing various outputs starting from the initial stage. The models performance was evaluated using different metrics, including the F1-score, accuracy, precision, recall, and accuracy. The methodology is evaluated using the UTKFace dataset for predicting gender and ethnicity, and compared the model with previous study to understand which model is giving better accuracy. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Gender and Ontological Friction in Endometriosis Diagnosis
Endometriosis often struggles to consolidate as a recognizable condition during biomedical encounters; in India, this unfolds at the interstice of biomedicine and gender-caste-class persistence. We contribute to contemporary endometriosis discourse by considering how, given the ontological politics of Indian womens reproductive health care, symptoms move across porous configurations without consolidating as disease. Through reflexive thematic analysis, informed by feminist new materialism, of interviews with nine cisgender women in urban India, we trace ontological friction and its influence on patient care practices. We identify this friction as the condition through which diagnostic delay continually emerges. 2026 Society for Menstrual Cycle Research. -
Gender as a Predictor in the Perception of Sexual Harassment Definition
Sexual harassment is a pervasive problem across the globe and it is generally viewed subjectively. The review of the literature suggests that individual perception, history of past sexual harassment and other personal factors influence beliefs concerning the seriousness of the problem. The present study aims to explore the role of socio demographic variables in the definition of sexual harassment. One hundred and sixty-one college students volunteered for this study. Personal profile sheet and Sexual Harassment Definition Questionnaire were used to collect the data. The results of the chi-square test suggested that girls and students who already experienced sexual harassment found larger social incidents as harassment. However, the results of logistic regression found gender as a strong predictor of sexual harassment definition and the history of past harassment was failed to provide a statistical significance. Educating men on male privilege, violence against women and identifying behaviours in them that are not acceptable by women will be helpful. The Electrochemical Society -
Gender Differences In Health Habits And Psychological Well- Being Among Early Adults
The concept of health is both complex and important. Health and its importance is one of the universally recognized concepts. The aim of the study was to explore the gender differences among early adults with regard to their health habits and their psychological well-being. Total sample consisted of 100 participants of whom 50 were men and 50 were women. The sampling technique used was random sampling. The age range was 18 -25 years. Health promoting lifestyle profile (HPLP), developed by Walker, Sechrist & Pender (1982). It includes both health-protecting (preventive) behaviors that decrease risk for illness and health-promoting behaviors that sustain or increase well-being, self-actualization and personal fulfillment. Health Behavior checklist was developed by the researcher to understand the patterns of health behavior on the dimensions of nutrition, physical activity, medical care, alcohol consumption, smoking and dieting and PGI General well Being Measure (PGI GWBM) Psychological well-being- PGI GWBM (English Version) by S.K Verma and A.Verma was used to assess the psychological wellbeing of early adults. This is a twenty item simplified test to measure positive mental health. Results showed that there are no gender differences in health habits among early adults. There were gender differences in psychological well-being among early adults. Correlation between health habits and psychological well-being was not observed. The results from the analysis of the checklist indicate some differences between men and women; more men were involved in external physical activity than women and women seemed to be not worried about their health and not visiting hospitals for checkups than men. Key words: gender differences, health habits, psychological well-being. -
Gender Differences in Social Capital and Job Search Methods in the Information Technology Industry in Bangalore
The Indian Journal of Economics Vol. 55, No. 3, pp 501-917, ISSN No. 0971-7927 -
Gender differences in social capital and job search methods in the information technology industry in bangalore
The existence of transaction costs in recruitments and information asymmetry in the labour markets could lead to a preference for informal methods of job search for potential employees and referral-based recruitments for employers. This preference is explicit in the Information Technology (IT) industry, which promotes an incentive-based referral recruitment system. However, such a system raises questions as to whether a level playing field is available for men and women alike to compete for available jobs in the industry. The paper aims at shedding light on the differences in social capital characteristics of men and women, in their job search choices between formal and informal methods, and the implications of the same in the labour market through a gendered perspective. Additionally, the paper explores the association between the strength of ties in informal networks, on one hand, and income and job satisfaction in jobs found through these networks, on the other. The study finds that there are considerable differences in the social capital characteristics of male and female IT employees. The relationship between the strength of ties in informal contacts used to find the current job and job satisfaction are consistent with the existing theoretical insights. However, there is no statistically significant relationship between the strength of ties and income. 2017, Springer India. All rights reserved. -
Gender Differences: Perception of Teasing and Body Image among Young Adults
The main focus of the current research is to determine whether perception of teasing has an influence on an individuals body image. Teasing related to weight may occur more often than many other types of teasing during childhood and adolescence. The study was conducted with a sample 100 under graduate students. The participants were in the age group of 18 to 21 years. The data was collected using teasing questionnaire-revised by Storch et al. (2004) and body image questionnaire by Cash (1994). 10 participants who scored high on teasing questionnaire were interviewed to further explore their teasing experiences and its relation to their body image. The results showed that there are no gender differences between teasing and body image among adults. Teasing seemed to be related to some of the domains of body image. Data from interviews show that peers and family were the major group of people involved in teasing. Teasing seemed to be having many consequences for the individuals results also indicate that teasing on ones appearance influences their body image. Key Words: Gender Difference, Teasing, Body Image and young adults. -
Gender Differentials in Entrepreneurship: Insights from a Multi-method Study
Gender inequality is an obstacle to inclusive growth, and literature reveals shortcomings in the basic entrepreneurial assumption of equal access to resources, support and economic opportunities for women. International bodies have emphasised the need to examine gender differentials at various levels like, country, organisational and individual levels. Our study is a novel attempt in this direction and aims to build a comprehensive understanding of gender differentials in entrepreneurship using multi-method research design. We analyse and integrate findings from the macro-level using national level datasets (NSSO and Economic Census) and the micro-level using surveys (primary data and GEM India data). Our results note a gender equality lacuna, calling for the need to include meaningful sex-disaggregated data in national surveys, the entrepreneurial intentions of women, behavioural traits impacting women entrepreneurs, the importance of entrepreneurship education, fear of failure, self-confidence and the need for role models. We propose a model of macro and micro factors impacting women entrepreneurship in developing countries. 2022 SAGE Publications. -
Gender diversity and organizational performance: A study of IT industries in Bangalore
Humans are considered to be different from each other with their acumen and intelligence. The working condition in IT sector has changed over the past few decades. There has been a drastic increase in the number of female employees towards the development of IT sector over the past few years. Gender diversity is creating a wide range of awareness and helps understand the importance of gender identity. IT industry which is a dominant industry in India has reckoned gender diversity as a major tool to ensure it stands on criteria of being competent and innovative in the ever changing dynamic business environment. The main objective of this paper is to analyze the relationship between acceptance of gender diversity among the employees, diversity practices and programs adopted by the IT industries and barriers to the same. Limited Liability Company Consulting Publishing Company Business Perspectives, 2017. -
Gender equality: A catalyst for global sustainable future
The paradox between inborn sexual identity and socially constructed gender identity existed throughout history. Unfortunately, gender identity got predominance over sexual identity in the context of patriarchy and religious beliefs. Even when all religions affirm the equality of both sexes, they demand the subordination of women. This continues to exist even in modern society. From the 19th century onwards, there were various efforts to address gender disparity that took place under the initiatives of feminism, human rights and women's rights movements. The United Nations in the second half of the 20th century advanced many attempts for the realization of gender equality. However, the present data shows that it will still take another 131 years to achieve gender equality. In this perspective, the chapter critically examines the attempts for gender equality and proposes certain policy changes and essential requirements for its true realization in view of sustainable future. 2025, IGI Global Scientific Publishing. All rights reserved. -
Gender gap in travel behaviour and public opinion on proposed policy measures: Evidence from India
Employing primary survey data collected from Jaipur city in India, this work attempts to evaluate inconsistencies in travel behaviour based on gender. It also intends to discuss the public opinion on a few proposed policy changes which can aid in bridging the established gender gap. Stratified random sampling approach is used to gather data on travel pattern measures and socioeconomic attributes. Descriptive statistics complemented with bivariate probit model and seemingly unrelated bivariate probit model is applied on the data acquired. The obtained results confirm the existence of a gender gap in all observed measures of travel behaviour. Compared to men, women travel shorter distances, use more of non-motorised modes of transport, have lower frequency of travelling, and travel majorly for purposes other than work. Results of the study also highlight how a majority of the respondents are in favour of policy changes aimed at narrowing the observed gender disparities. The analysis demands infrastructural development of non-motorised transportation and public transportation in the city in such a way which is both efficient and secured, so as to neither obstruct the objective of empowerment nor of sustainability. 2023 John Wiley & Sons Ltd. -
Gender Identification of Silkworm Pupa and Automated Cocoon Cutting Machine for Benefiting the Sericulture Grainages in Karnataka
Sericulture is the backbone of a mediocre farmer family in India. Sericulture provides a major financial support to the farmers with minimum infrastructure and maintenance. Farmers collect the seed cocoons from the grainages also known as seed factories. Grainages produce high quality seeds by mating the male and female cocoons. There is a huge demand of labor in these seed factories to process cocoons. The process includes deflossing, removal of pupa from the cocoon, gender identification, mating, storage of seeds, dispersal of eggs to farmers. Removal of pupa from the cocoon requires the labor to cut open a small portion of the cocoon and remove the pupa from inside. Presently in India, most of the grainages induce female laborers to perform the above job. Pupa is removed from the cocoon by cutting the cocoon using a stainless-steel blade. Each labour is given certain amount of cocoons to cut in a day. This requirement would force the laborers to perform the job at a higher speed which poses a threat of getting wounded by the blade. Hence the process of removal of pupa from the cocoon and sex identification of pupa to be automated. Thereby it is important to automate the possible processes in the grainages which could reduce human intervention and increase productivity. Bivoltaine hybrid race of silkworm namely FC1 and FC2 are the varieties under consideration for the research. Theses silkworm varieties are majorly used in grainages for seed production and hence the proposed machine was introduced. This semi automated cocoon cutting machine identifies the gender of the cocoon and later cut the required amount of cocoons minimally. This process would help in maintaining the maximum reliability of silk thread. Thereby the silkworm gender identification has to be non destructive. Image classification were done using Convolution Neural Network (CNN), Visual Geometry Group 16 (VGG16) and Efficient net methods, among which the latter produced highest accuracy. The Efficient Net method has produced the validation accuracy of 98.99% for FC1 and 99.9 for FC2 variety. An automated cocoon cutting machine was developed to cut open the cocoons at a high speed. It is important to automate the possible processes in the grainages which could reduce human intervention and increase productivity. This paper focuses on automating the gender identification and removal of the pupa from the cocoon. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Gender Issues and Related Social Stigma Affecting Patients with a Disorder of Sex Development in India
Children with disorders of sex development (DSD) manifest at birth with malformed genitalia or later with atypical pubertal development. Those born with malformed genitalia are often diagnosed at birth. However, in resource-poor countries like India, where not all births are supervised by healthcare workers, some of these children remain undiagnosed until puberty or even later. The aim of this study was to assess the gender issues and psychosocial problems of children with DSD. Participants included 205 children with DSD (103 with 46,XX DSD and 102 with 46,XY DSD). Both the children with DSD and their parents underwent semistructured interviews by a clinical psychologist. The birth of a child with DSD was perceived as a major medical and social problem by parents from all socioeconomic strata. Mothers were distressed as many believed the DSD condition was transmitted through the mother. Children who were not diagnosed and treated during infancy or early childhood experienced considerable social discrimination not only from relatives and friends but also from medical and paramedical staff in hospitals. Several patients had been operated during infancy without an etiological diagnosis and without provision of adequate information to the parents. Some children had problems related to complications of surgery. Most teenage patients with 5?-reductase-2 deficiency reared as females presented with gender dysphoria, while children with androgen insensitivity (except for one) or with gonadal dysgenesis developed a gender identity concordant with their gender of rearing. Parents of children with DSD preferred a male gender assignment for their children (if that was possible) because of the social advantages of growing up male in a patriarchal society. 2016, Springer Science+Business Media New York.