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Work-Family Interface during the Age thirty Transition: Experiences of Women Professionals from the Corporate sector
The age thirty transition is a significant developmental transition in the lives of women. Past studies have found this to be a period of disruption and re-evaluation of choices before lasting commitments are made in work and family. This research is focused on studying the experiences of women professionals from the corporate sector as they negotiate the age thirty transition and the work-family interface during this transition period. It provides a current understanding of this transition in lives of women professionals in the context of urban India. Based in the paradigm of phenomenology, this study follows the IPA method. Semi-structured interviews were conducted with six women and the data was analyzed at individual as well as cross-case level. The findings indicate that approach of age thirty i.e. approximately between ages 25 and 31 is a transitional period as the young women enter and establish themselves in adult roles in work and family. The changes in their environment and social expectations interact with developmental changes within the ??self. Amidst unique individual experiences, the results suggest a common structure of the transition experience with distinct phases and an evolution of work-family interface across these phases. Keywords: age thirty transition, work-family interface -
Work Tasks Motivation in Relation to Occupational Self-Efficacy and Thinking Skills of Secondary School Teachers
Education is a dynamic enterprise which is centred on the processes of teaching and learning. All the systems that are connected with the education of an individual should be taken care of for the betterment of the teaching-learning process. Teachers are one of the important sources of inspiration for the students. Every aspect of the teaching-learning process such as the instructional strategies, assessments, student management, the environment etc. has been changing due to the technological innovations and social advancements. The teachers have to be equipped with new technologies that will lead to innovations in education methodologies. The development of necessary skills and belief in their profession is essential for motivating teachers to adapt and adjust to the challenges, the changing attitudes and habits of children. Also, the teachers are expected to perform multiple tasks rather than a particular one. The present study aimed at assessing the types of motivation towards specific work tasks, efficacy towards their occupation and thinking skills of secondary school teachers of Bengaluru. The study reported that Intrinsic Motivation and Identified Regulation led to positive outcomes whereas Introjected, External Regulations and Amotivation led to negative results. The demographic variable, gender had no significant effect on the variables under the study. A significant difference was found for the types of motivation for specific tasks with respect to subject specialisations, types of management, and years of experience. The study thus gives an insight into the motivational processes of a teacher which will be helpful in creating a positive work environment. -
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WOMEN, EDUCATION AND EMPOWERMENT: A STUDY IN RURAL KARNATAKA
In most of the developing countries education among women has been accorded a low priority. The norms of gender behaviour and the perceived domestic and reproductive role of women which was remarkable stable over a period of time have adversely affected the womens education. In addition, forces like negative social attitude, prejudices, restrictions and beliefs also contributed to keep women out of education field. The only goal placed before a woman was to train themselves to be good housewives. It was only after Independence that female education gained importance and led to changing traditional attitudes within family and the society. However, the fact that one amongst the major and fundamental problem for women in India is the high percentage (75%) of illiteracy. A considerable literacy gap still exists between men and women even after 65 years from Independence. As a result, women have been exploited and deprived of their rights and prevented from the process of empowerment. In Indian society, gender bias is compounded by discrimination and prevents women from receiving the education, access to training, health services and so on. Hence, it is imperative to study the educational status of women with respect to the factors contributing and to assess the level of empowerment on some selected domains as a result of education that they pursued. The present study is one amongst such modest attempts to understand the interrelationship between education and empowerment among women, particularly in rural areas. A total of 170 women from Dimbala of Kolar District in Karnataka were selected. All they were approached with the help of a Structured Interview Schedule. Generalization arrived through the study has been discussed in this Dissertation along with some important findings to find the possible means to empower women through education. -
WHETHER STUDENTS CONSIDER PLAGAIRISM AS AN ETHICAL ISSUE
New media play an important role in the spreading of plagiarism in the modern world. The facilities that are provided by new media like websites; blogs etc provide information to the knowledge seeker which may cause for plagiarism in many cases. Plagiarism is an issue faced by academic field and researcher due to the influence of new media. This paper is studying whether students consider plagiarism as ethical issue. Study is analyzing students attitude towards plagiarism especially students attitude toward online plagiarism. This is a study conducted using both qualitative and quantitative methods. The study is very much important in the contemporary time due the changing treads in the concept of academic due to the impact of new media and information flow. The paper evaluates the understanding of student regarding plagiarism. The study is also evaluating the factors that force students to do plagiarism in their works. The study uses the techniques like survey, in-depth interview and focus group discussion to reach conclusion. -
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Web User Access Log Analytics Using Neural Learning, Regression and Logit Boost Clustering Techniques for Accurate User Behavioural Pattern Identification
Web Usage Mining (WUM), is the process of mining user behaviour patterns from huge log fles. Weblogs provide substantial input to learning the identity of an online user. Analysis of these patterns extracted from the weblog datasets is currently being explored by various researchers. Due to the recent advent of automation, mining patterns from weblogs are automated. These automated mining processes focus on browsing habits and usage patterns. To make this process of gathering better, there are many ways to look at how users act and put them into relevant groups.Identifying, detecting, and classifying features that demarcate specifc traits that are related is an important task. Conventional research is designed to discover web usage mining strategies through clustering and classifcation methods. However, there is a need to focus on and improve the accuracy of the prediction systems that classify acquired features to fgure out the patterns of web users. Deep learning methods are used to mine weblog data to improve accuracy and precision. To improve user behaviour pattern mining, a two-level clustering process is introduced as Ensemble Fuzzy K-Means with Logit Boost Clustering (EFK-LBC) technique to extract the weblog. In this technique, a preprocessing step is included to remove redundant data and choose reliable log fles. The Fuzzy-K means clustering technique is used to identify behavioural patterns exhibited by recurrent users. Finally, the Logit Boost Clustering method is introduced to the data,that help in generating a strong cluster. Clustering of web users frequent behavioural patterns using the Logit Boost ensemble technique helps the proposed EFK-LBC method to improve newlinethe accuracy up to 88% and reduce the clustering time by 20% compared with existing approaches. Though the proposed EFK-LBC technique performs better for user identifcation, the different initialization of clusters provides various fnal clustering results. -
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Volatility Spillover Effects in Cryptocurrencies
Cryptocurrencies' growing use has increased investors and decision- makers interest. Cryptocurrencies' volatility and how it impacts others is most intriguing. Arguments include speculative pressures, valuation uncertainty, and lack of regulation. These traits cannot fully explain cryptocurrency volatility and volatility spillovers, suggesting other relevant factors. In this study, currency volatility and spillovers, as well as their relationship with the sentiment of global investors, were investigated. The study analysed 22 cryptocurrencies from 01/01/2018 to 31/12/2022. The study used FIGARCH and FIEGARCH, a GARCH family model to analyse the long-memory and leverage effects on cryptocurrency volatility, the ADCC-GARCH framework, and the Diebold-Yilmaz spillover index to analyse cryptocurrency volatility spillovers. The long-memory and leverage impacts on bitcoin volatility were analysed using the FIGARCH and FIEGARCH models from the GARCH family. Both the Chow-test and the Pai-Berron Test found structural breaks in the cryptocurrencies. Cryptocurrencies such as Adacordono, Aertinity, ARK, BAT, BCH, BNT, BTC, Dogecoin, Ethereum, Funtoken, ICON, KMD, KNC, NEO, PIVX, QTUM, SNT, TRX, ZCASH, have positive (difference) FIGARCH coefficient values. It indicates a long memory in currencies, and volatility shocks affect future volatility. On the other hand, the FIGARCH coefficient of BTG cryptocurrency (difference) is negative (-0.035), which suggests that the individual has a short memory. In this scenario, the effects of volatility shocks are only temporary. When extreme volatility is promptly followed by low volatility or vice versa, this indicates anti- persistence. The study also found that both positive and negative news has a significant impact on the volatility of specific cryptocurrencies such as BCH (0.015), BNT (0.0016), BTG (0.01972), DOGE (0.2296), EOS (0.0112), KNC (0.0366), PIVX (0.0021), TRX (0.0013), Adacordono (- 0.027), Aertinity (-0.0393), ARK (-0.0377), BAT (-0.028058), and BTC (-0.0665). Ethereum has the largest spillover (4.09), followed by QTUM (4.06), EOS (4.05), Adacordono (4.05), and Dogecoin (2.4). All cryptocurrencies show fundamental instabilities (P-values less than 0.05). Hence the alternative hypothesis is accepted, and the null hypothesis is rejected. The hill estimator tail index value is ? > 0, fat tail or heavy tail; high chance of catastrophic event which is observed in all the 22 cryptocurrencies. Both investors and speculators can use sentiment analysis to forecast market volatility and generate gains. Policymakers can also utilize this information to establish laws that reduce market volatility. As a result, the study contributes to the ongoing discussion on the factors that cause bitcoin's volatility.3 -
Visual propaganda through social media: A case study of Arab - Israeli crisis /
A picture is worth a thousand words, uploading images immediately attract attention a comments or tweets. Images are able to trigger multiple emotions and are effectively used for propaganda. Visual propaganda stands for usage of images to fulfil propaganda goals. These images carry meaning, emotion and a purpose. -
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Vanet Framework for Optimal Target Selection in Handoff using machine Learning
The impact of mobile networking has been far-reaching and has transformed many technologies for the better. Among the more pioneering technologies of recent times, autonomous vehicles (AV) are being touted as the future of transportation. AVs are featured prominently due to their ability to provide services across the implementations concerning smart-city applications. Since the newlinenodes (AV) involved are highly mobile, it is important to keep the device connected and adapt the dynamic topology change. The network should be capable of switching AV between access points (AP s) dynamic and must take place without much delay. Handoff is the process where a node switches between APs depending on the changes in the network topology. Various studies have claims that the use of Machine Learning or Deep Learning improves the efficiency of decision making in mobile networks. In this research work a dynamic handoff framework, inspired by the traditional Indian game of Kho-Kho is proposed. It selects the most optimal AP for newlinecommunication in a mobile environment. Initially the nodes within an AP are newlinecategorized as sticking and steering nodes. Identifying the nodes list for executing newlinethe Kho-Kho based handoff for the steering nodes. The framework makes use of Artificial Neural Networks (ANN) to perform the operation of handoff and selects the most optimal AP once the handoff trigger occurs. ANN is designed for multiple parameters, including signal strength, noise, and direction to make its decisions regarding handoff. The proposed Kho-Kho model has been newlineimplemented and analyzed using the NS3 simulator. Simulation results have indicated a higher performance of the proposed Kho-Kho approach when compared to the existing standard implemented for vehicular ad hoc newlinecommunications in IEEE -
USER SATISFACTION OF CHRIST UNIVERSITY WEB PORTAL
Apart from the various factors contributing to the use and adoption of technologys newness, system usability has gained immense relevance. Here the usability is often identified as the satisfaction of the user from the particular system in use. The researcher intends to analyse and study the user-satisfaction of Christ University students, primarily, from the Christ University web portal. By drawing definitions from the International Standard Organisation, the meaning of user satisfaction is understood as the extent to which a specific user can use the product effectively to achieve specific goals. The researcher will search for answers among students of Christ University by confronting them with them questionnaires on its information quality, user-friendly nature and the availability of information and details. -
Use of social media applications in Indian governing policies /
New media is prevalent tool and a mass medium since it became associated with social networking. Apart from public relation companies and executives, Government agencies are also using new media like YouTube, Facebook and Twitter extensively. The study aims to depict of how social media and mobile applications are being used by governments to inform, engage and serve people. -
USE OF SELF ESTEEM APPEAL IN ADVERTISEMENTS THAT CATER TO WOMEN
The concept of Self-esteem appeals are considerably new in advertising, they are used in the advertisement to increase the buying and selling for products that are meant for women. The advertisers increase the demand of their products, with a particular target audience they pioneer ideas that will psychologically stimulate a strong feeling which will lead to a strong emotion that make them purchase the product or least take a good notice of the product addressed. The study aims to analyse the effectiveness of the advertisements that are made for products that are specially meant for the women, to find how these products affect the attitude towards looking at the product and themselves. And also to look into how the consumers recall the brand that uses a lot of self esteem appeal in them. -
Use of popular paintings in advertising /
Western paintings are constantly been in multiple mediums used because of its high recall value; these paintings have had a huge impact on global advertisement by multiple companies to promote their products and services. These popular western paintings have been the source of inspiration for various reason, the age old classic paintings have been deconstructed analysed and meanings have derived. -
