Labour Market Deepening in the Indian Information Technology Industry: An Exploratory Analysis

The Indian Information Technology (IT) sector has seen significant growth in terms of employment and revenue and is expected to provide quality employment to a large number of workers in the coming years. A more widespread participation of workers with different skill/education profiles, gender, regions etc. would facilitate deepening of the labour market and eventually reduce costs. The only data on the IT industry that has been analyzed so far is based on surveys conducted by the National Association of Software and Services Companies (NASSCOM). NASSCOM estimates are essentially based on data collected from its members. While the estimates are considered to be reasonably reliable, one is not sure of the coverage of IT firms by NASSCOM, particularly of small IT firms and hardware firms. Besides, the estimates may not adequately capture employment of IT workers in IT using sectors. It is, therefore, desirable to explore other data sets to analyze issues relating to the IT labour market in India. This paper is an attempt in this direction and hopes to provide a tentative understanding of the processes that have been important for the evolution of the IT labour market in India. It analyses NASSCOM and National Sample Survey (NSS) data to explore the processes that deepen the IT labour market in India. The analysis suggests that deepening is actually taking place but the pace can probably be enhanced. Transition to the off-shore model, growth of the ITES sector, competition and infrastructure led movement of IT activity to smaller cities and hiring of workers with diverse education backgrounds and of women workers has facilitated the deepening processes. These processes will need to be intensified in order to further deepen the market and enhance employment opportunities.

Most Preferred Business Banking Product of HDFC Bank in Trichy City

Change is the only constant factor in this dynamic world and banking is not an exception. The changes staring in the face of bankers relates to the fundamental way of banking-which is undergoing rapid transformation in the world of today, in response to the forces of completion productivity and efficiency of operations, reduced operating margins better asset/liability management, risk management, any time and any where banking. The major challenge faced by banks today is to protect the falling margins due to the impact of competition. Another significant impact of banks today is the technology issue. In this study the business banking products of HDFC bank, that best suits the needs of the borrower were analysed. The Customer feels that loans to be obtained require a process that is extremely complicating and time consuming. This calls for an ombudsman setup separately for the domain. The observation and findings of the study have helped to give useful recommendation to bank. The implementation of the suggestion can help to improve strategies and build competencies over that of their competitors. This study has there by helped me by giving exposure into new concepts in today’s banking scenario as the interface shifts from service to products. There has also been some insight into competency recognition

Crime Prediction and Analysis against women Using LRSRI-Missing Value Imputation and FIPSO - Optimum Feature Selection Methods

Data investigation is the method of considering crude measurements in arrange to draw conclusions around them. Many statistics evaluation techniques and tendencies had been automated into mechanical techniques and algorithms in such a manner that they provided raw statistics for human consumption. Machine learning could be a portion of artificial intelligence that permits computer frameworks to "analyze" their own statistics and improve them over time without being explicitly programmed. Machine learning algorithms can understand patterns in statistics and analyze them to make their own predictions. Lost esteem ascription is one of the foremost vital procedures in data pre-processing and it is additionally the most prepare of information examination. Ascription of lost information for a variable replaces lost information with a esteem inferred from an assess of the dispersion of that variable. Basic accusation employments as it were one suspicion. Numerous ascriptions employments diverse gauges to reflect the instability in evaluating this dispersion. In this article, The proposed method LRSRI used for impute the missing values on Crime against Women Data-set(CAW).The Linear Regression Imputation and Stochastic regression imputations are used in this method.Feature selection is another important data preprocessing techniques.This is often called attribute selection or feature selection. The most important problem in predictive modeling is the mechanical selection of features in the data. In this work,the proposed method FIPSO implemented for feature selection.This is feature importance and Particle Swarm Optimization based method.The main objective of this work is predict the crime rate against women in India based on 2001 to 2021 crime recorded against women in India.This Data set is collected from Data.gov.in.Finally The predicted result is compared with recent NCRB crime report.The proposed method LRSRI and FIPSO has given 98.34% accuracy of crime prediction.In feature,This outcome will be valuable for the crime office to control the CAW in India

Spontaneous unscarred fundal rupture after normal vaginal delivery

Uterine rupture is one of the most dangerous obstetric situation carrying an increased risk of maternal and perinatal morbidity and mortality, associated with poorly managed labour. The incidence of spontaneous rupture of unscarred uterus is around 1 in 8000 to 1 in 15000 deliveries. We report this unusual case of spontaneous unscarred fundal rupture after normal vaginal delivery. This case under reference developed shock soon after delivery and was explored due to suspected intraperitoneal hemorrhage. This case is being reported to emphasis the need for proper post-delivery monitoring not only to diagnose post-partum hemorrhage but also to suspect uterine rupture as a cause of unexplained shock developing after delivery inspite of all resuscitative measures. Although unexpected in a woman with an unscarred uterus, rupture should be considered as a possible cause of unusual pain or hypotension in the mother. The most effective way to reduce the number of morbidity and mortality would be to prevent unwanted pregnancies by informed and effective use of contraception

EXPLORATION OF MICROORGANISMS AS A POTENTIAL SOURCE OF XANTHINE OXIDASE INHIBITORS: AN UPDATED REVIEW

Nowadays the prevalence of hyperuricemia has significantly increased in which serum uric acid levels are exceeding the normal range. Gout is the predominant clinical implication of the hyperuricemia, but many clinical investigations have confirmed that hyperuricemia is an independent risk factor for cardiovascular disease (CVD), hypertension, diabetes, and many other diseases. The xanthine oxidase (XO) converts hypoxanthine to xanthine and ultimately to uric acid, and the irreversibly accumulated uric acid causes hyperuricemia associated with gout. Hence specific and selective xanthine oxidase inhibitors (XOI) are potentially powerful tools for inactivating target XO in the pathogenic process of hyperuricemia (Gout). The objective of the current study was to overview the various XOI isolated from the microorganisms. Microorganisms have been employed for several decades for the large-scale production of a variety of bio-chemicals ranging from alcohol to antibiotics and as well as enzyme inhibitors. Currently available XOI (allopurinol and febuxostat) for the treatment of gout have been exhibiting serious side effects. Thus, there is a need to search for new molecules to treat hyperuricemia and its associated disorders. At present, microbes have been unexplored in the development of successful products for the management of XO-related diseases. Hence, the present review focused on novel XOI produced from various microbial species such as Actinobacteria, lichens, bacteria, endophytic fungi and mushrooms, which can be expected to play an important role in the ongoing transition from the empirical screening to the real rational drug design.Â

Direct Power Control Algorithm for Electric Traction Systems

In this paper presents a direct power control-based algorithm is used for general filtering and unbalance compensation scheme for electric traction systems. This method can improve the power flow exchange between the grid and the load . As a result unbalanced load is seen as a balanced linear load. The proposed filter is evaluated on power substations for two-level and dual-converter in the power stage. This method is experimented simulated and shown a better oerformance

Patchouli (Pogostemon cablin Benth.): botany, agrotechnology and biotechnological aspects

Patchouli (Pogostemon cablin Benth.) is an industrially valued aromatic medicinal plant currently having a huge demand for its essential oil. It is widely used in flavor and fragrance industries as well as in pharmaceuticals. Clonal propagation is therefore obligatory to obtain homogeneous patchouli plants from preferred germplasm in order to meet the global need. At present, farmers are showing keen interest towards its large scale cultivation mainly in the tropical and sub-tropical countries. Understanding the plant biology, chemistry and other uses allows better utilization of any industrial crops. Therefore, the present review discusses on the botany, agronomy and biotechnological aspects of patchouli. Also, the current market demand for patchouli raw material is being reviewed by highlighting the possible exploration of modern techniques in identifying the adulterants to authenticate this herb. This review provides a comprehensive information on both basic and applied aspects of patchouli crop cultivation and management. The applied aspect of patchouli biotechnology allows one to explore the newer potential for various industrial uses and improve the rural economy

A COMPARATIVE STUDY ON IN VITRO ANTIOXIDANT AND ANTIBACTERIAL ACTIVITIES OF METHANOL EXTRACT FROM THE LEAVES OF STACHYTARPHETA INDICA (L) VAHL AND PREMNA CORYMBOSA ROTTL

Objective: The objective of this research was to investigate the in vitro antioxidant and antibacterial activities of methanol extract from the leaves of Stachytarpheta indica (L) vahl. and Premna corymbosa Rottl. Methods: The various photochemicals were analyzed according to the methods described by Allen and Harbone. The total phenolic contents were estimated by Folin–Ciocalteu method. Antioxidant activities of these plants were tested on the basis of ABTS (2,2'-azino-bis-3-ethyl benzthiazoline-6-sulphonic acid) radical scavenging assay, inhibition of lipid peroxidation, Super oxide radical scavenging activity, Nitric oxide radical scavenging activity and Metal chelating activity. Similarly antibacterial activity was performed by Disc diffusion method against Staphylococcus aureus, Pseudomonas aeruginosa, Klebsiella pnemoniae, Escherichia coli and Enterococcus faecalis. Results: The phytochemical analysis showed the presence of Tannins, Flavonoids, Alkaloids and Anthraquinones. The total phenolic contents were more in P. corymbosa (381.10±13.00 mg/g) than S. indica (195.72±8.75 mg/g). The methanol extract of the leaves of P. cormbosa showed significant antioxidant activity, while it was comparatively less in S. indica. Similarly the study on antibacterial activity of these two plant leaves extracts revealed inhibitory activity. However P. corymbosa showed higher inhibitory zone against E. coli, K. pneumonia, P. aeroginosa (18, 17, 16 mm) respectively compared with S. indica. Conclusion: This research work has made it clear that P. corymbosa possess excellent antibacterial and antioxidant activity and the extracts can be more widely used in developing countries for the prevention and treatment of ageing related diseases and may be considered as good source for drug discovery