Numerical simulation of three-phase flow in an external gear pump using immersed boundary approach

This paper presents a three-phase fully compressible model applied along with an immersed boundary model for predicting cavitation occurring in a two dimensional gear pump in the presence of non-condensable gas (NCG). Combination of these models is capable of overcoming numerical challenges such as modelling the contact between the gears and simulating the effect of NCG in cavitation. The model accounting for the effect of NCG also has broader applicability, since gas dissolved in liquids can come out of the solution when exposed to low pressures; this plays a significant role in the pump performance and cavitation erosion. Here the simulation results are presented for the gear pump at different operating conditions including the contact between gear, gear RPM and % of NCG; their effects on performance and cavitation is demonstrated. The results suggest that modelling the contact between the gears play a role in the cavitation prediction inside the gear pump. An increase in cavitation is observed when the contact is modelled even for the small pressure difference considered between the inlet and outlet. An increase in the RPM of the gears also results in increased cavitation within the pump, whereas an increase in the percentage of NCG content by a small amount can reduce the cavitation to a greater extent. This reduction is due to the expansion of the gas at a lower pressure which recovers the pressure and prevents or delays the phase-change process of the working fluid. The fluctuations in the outflow rate is also found to increase when the gears are in contact and also with increasing gas content

Obstetric hysterectomy: analysis of 50 cases at a tertiary care hospital

Background: Despite advances in modern medical sciences, there is a plethora of morbidity which continues to affect women during childbirth, necessitating removal of the uterus in the peripartum or postpartum period. This study analyses 50 cases of obstetric hysterectomy done in a single institute.Methods: After Institutional Ethics Committee approval, a retro prospective analysis of hospital records of 50 cases of obstetric hysterectomy was done over a five year period in the department of obstetrics and gynaecology at a tertiary care referral centre-KEM hospital.Results: During the study period, there were 50 cases of obstetric hysterectomy out of 43839 deliveries giving an incidence of 0.12%. Mean age of women undergoing obstetric hysterectomy was 29.9 years. 86% of these were multiparous. The most common indication was morbidly adherent placenta (38%) followed closely by followed by rupture uterus (34%) and uterine atony (20%). Total hysterectomy was the most preferred type of hysterectomy (74%). Urinary tract injury and hypovolemic shock were the most frequently encountered complications. The maternal mortality rate in our study was 4%. 86% of the babies born had Apgar score of 9/10. 44% of babies required admission to neonatal intensive care unit.19.6% of the patients had still born babies and there were 4 neonatal deaths.Conclusions: Obstetric hysterectomy is associated with increased risk of maternal and perinatal morbidity and mortality

Effectiveness Efficiency and biochemical content of Physical and Chemical Mutagens in Soybean (Glycine max (L.) Merr.)

In a mutation breeding experiment, in the CO-1 variety of soybean (Glycine max (L.) Merr.) the efficiency and effectiveness of physical and chemical mutagens viz., gamma rays, ethyl methane sulphonate (EMS), diethyl sulphate (DES) and Colchicine (COH) were examined. Gamma rays were found to be more effective than other mutagens in producing chlorophyll and viable mutants. The efficiency was observed based on lethality and injury. Gamma rays were found to be more effective than other treatments. The chlorophyll mutants viz., Albino, Viriscence and Xantha and viable mutants viz., plant type, days to maturity, early flowering, seed color, seed shape, pod shape & male sterility etc. were recorded with various frequencies.  The protein and oil content was recorded maximum at 50 KR of gamma rays.  ÂÂ

Framework to predict NPA/Willful defaults in corporate loans: a big data approach

Growth and development of the economy is dependent on the banking system. Bad loans which are Non-Performing Assets (NPA) are the measure for assessing the financial health of the bank. It is very important to control NPA as it affects the profitability, and deteriorates the quality of assets of the bank. It is observed that there is a significant rise in the number of willful defaulters. Hence systematic identification, awareness and assessment of parameters is essential for early prediction of willful default behavior. The main objective of the paper is to identify exhaustive list of parameters essential for predicting whether the loan will become NPA and thereby willful default. This process includes understanding of existing system to check NPAs and identifying the critical parameters. Also propose a framework for NPA/Willful default identification. The framework classifies the data comprising of structured and unstructured parameters as NPA/Willful default or not. In order to select the best classification model in the framework an experimentation is conducted on loan dataset on big data platform. Since the loan data is structured, unstructured component is incorporated by generating synthetic data. The results indicate that neural network model gives best accuracy and hence considered in the framework

Effect of Gamma Rays, EMS, DES and COH on Protein and Oil Content in Soybean

AbstractThe present study is based on the observations of seed protein and oil content in four mutagenic generations of soybean variety CO 1. Ethyl methane sulphonate treatment showed high protein and oil content compared to other mutagenic treatments such as gamma rays, diethyl sulphate and colchicine.  Both increased and decreased content of protein and oil were observed.  According to our results   high content of protein and oil was observed at high mutagenic treatments. Increased level of seed protein and oil content was observed at 0.5% and 0.6% of EMS treatments and 50 KR of gamma rays. Department of Botany, Annamalai University, Annamalai Nagar – 608 002, Tamil Nadu, India---Please Cite This Article As: P. Pavadai, M. Girija and D. Dhanavel. 2010. Effect of Gamma Rays, EMS, DES and COH on Protein and Oil Content in Soybean. J. Exp. Sci. 2(4):47-50.Â

Effect of Gamma Rays on some Yield Parameters and Protein Content of Soybean in M2, M3 and M4 Generation

ABSTRACT: The effectiveness and efficiency, yield parameters and statistical analysis for M2, M3 and M4 generation of Soybean (Glycine max (L.) Merr.) using gamma rays treatment. Effectiveness and efficiency was recorded at increase for low concentration and decrease for high concentration level. The most of the treatment was positive shift was recorded. The statistical analysis such as variability, heritability and genetic advance as per cent of mean was recorded in high for treatment than the untreated plants for all the generation. 50KR of gamma rays treatment was effective than the other mutagenic treatments compared to control.   Key words: Soybean, Mutation, Effectiveness, Efficiency, Frequency ---Department of Botany, Annamalai University, Annamalai Nagar – 608 002, Tamil Nadu, India---Please Cite This Article As:P. Pavadai, M. Girija and D. Dhanavel. 2010. Effect of Gamma Rays on some Yield Parameters and Protein Content of Soybean in M2, M3 and M4 Generation. J. Exp. Sci. 1(6):08-11. Â