ROLE OF A WOMEN ENTREPRENEUR IN AGCC (ARAB GULF COOPERATION COUNCIL) WOMEN EMPOWERMENT

With the fast-growing economies of the world, the role and contribution of women entrepreneurship to the growth and performance of the organization cannot be marginalized. In the present scenario, the genesis of women entrepreneurship is perceived in most of the organizations across the world. This has enchanted the concentration of the theorists and ideologists paving the way for further researches and amendments in this area. In greater numbers than ever before, women are stepping away from traditional economic roles and venturing out to start their own businesses, enabling them to become self- dependent and set the examples for the organizations.  Further women entrepreneurs have overcome seemingly impossible odds and reckoned to the high performance and growth of the organization parallel to the masculine manpower exploring the new avenues of the business potential.Needless to say, the significant changes in the world economy have greatly altered the status of women in the marketplace. New opportunities have generated new challenges—meeting the greater demand for skills and specialization of knowledge, maintaining the viability of those skills and that knowledge in an ever-changing marketplace, and accommodating the instability that can arise from such changes. As a result, new ways of thinking and doing have to be considered. At this juncture, the leadership style of women and their special capacities and qualities appear quite valuable. This paper is an attempt to spotlight the role of women entrepreneurs in AGCC commonly known as Gulf Cooperation Council (GCC). The scholar has evaluated the role of women entrepreneurs in AGCC which would create a base for sound apprehension regarding women empowerment in the emerging economy of the world

FORMULATION AND IN-VITRO EVALUATION OF DEFERASIROX ORO-DISPERSIBLE TABLETS

Objective: Deferasirox is a once daily, oral iron chelator approved for treatment of transfusional iron overload in adult and paediatric patients. In case of iron overdose or poisoning, immediate attention deferasirox is required in the systemic circulation to counter act the iron. Hence we feel that formulation of Oro-dispersible tablets of deferasirox is an ideal approach. Methods: FTIR showed that there is no interaction between drug and excipients. Mouth dissolving tablets of Deferasirox were prepared using crospovidone, croscarmellose and sodium starch glycolate as superdisintegrants by direct compression method. Dissolution of prepared Oro-dispersible tablets of Deferasirox was performed using USP type II apparatus in 6.8 pH phosphate buffer at 50 rpm with temperature being maintained at 37±0.5oC. Samples were withdrawn at 10, 15, 20, 30 and 45min time points and were analysed using UV- visible spectrophotometer at 245 nm. Results: The tablets prepared were evaluated for various parameters like weight variation, hardness, friability, in-vitro dispersion time, drug polymer interaction, drug content, water absorption ratio and wetting time and in-vitro release and were found to be within the limits. Conclusion: Formulation with crospovidone containing superdisintegrants has shown better in-vitro dissolution profile compared with other formulations. In conclusion, development of fast dissolving tablets using superdisintegrants gives rapid drug delivery and rapid onset of action

Use of Social Networking Sites in Academics: A Review

In the current era with the advent horizon of technology and its usage, encouraged the use of social networking sites among the society. In the last decade, it made an imperative impact and rapid change on the working on almost all organizations and professions be it businesses, industries, or academia. In the academic organizations, the use of social networking sites by students and youths for academic and non-academic communication is increasing rapidly in India and Oman. Social networking sites is itself provide massive communication channels and service that can support and yield in getting solutions to many administrative issues for academic institutions. However, Universities and institutions have not formally accepted in India. This paper reviews surveys and experiments by academic researchers in various parts of the world. To evident, the usefulness and significance of SNS in academic world several studied and experiments have been elaborated in this paper. During this study top fifteen universities in the world have been taken into consideration. The comparative study has been carried out among them with reference to use of social networking sites and their relative factors. We found that almost all universities are very much aware and have significant place in their system.  The result brings the fact that use of social networking sites in academic institutions will bring the significant change in the operations and task handling, hence proposed

The k-means algorithm: A comprehensive survey and performance evaluation

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The k-means clustering algorithm is considered one of the most powerful and popular data mining algorithms in the research community. However, despite its popularity, the algorithm has certain limitations, including problems associated with random initialization of the centroids which leads to unexpected convergence. Additionally, such a clustering algorithm requires the number of clusters to be defined beforehand, which is responsible for different cluster shapes and outlier effects. A fundamental problem of the k-means algorithm is its inability to handle various data types. This paper provides a structured and synoptic overview of research conducted on the k-means algorithm to overcome such shortcomings. Variants of the k-means algorithms including their recent developments are discussed, where their effectiveness is investigated based on the experimental analysis of a variety of datasets. The detailed experimental analysis along with a thorough comparison among different k-means clustering algorithms differentiates our work compared to other existing survey papers. Furthermore, it outlines a clear and thorough understanding of the k-means algorithm along with its different research directions