In the present study, antioxidant and anticancer activities of different solvent extracts of an Indian medicinal plant, Spathodea campanulata P. Beauv. (leaf) were investigated. Among the different extracts studied, 70% ethanolic extract of S. campanulata leaf registered high antioxidant activity in terms of phosphomolybdate reducing power (955 FAEA), radical scavenging activity against DPPH (84.67%), superoxide (72.69%), hydrogen peroxide (83.20%) and hydroxyl radicals (70%), when compared to ethyl acetate and chloroform extracts. Further, the ethanolic extract illustrated remarkable anticancer activity against EAC cell line (85%) when compared to ethyl acetate and chloroform extracts. Ethanol extract showed higher level of total phenolic concentration (9.21 mg FAE/L), which is correlated with the maximum antioxidant activity exhibited by this extract. Due to remarkable antioxidant and anticancer properties, the ethanolic extract of S. campanulata leaf could be considered as a natural source of plant based drug to prevent / treat oxidative stress induced diseases such as cancer.
The prevalence of Cardiovascular Vascular Disease is increasing rapidly and has become a leading cause of mortality and morbidity in both developing and developed countries. Demographic transitions, adoption of unhealthy lifestyles and diet, sedentary occupations and even ignorance has contributed to this epidemic. However, there are very few existing studies determining the awareness of CVD and its risk factors among general population. We studied 640 patients from one subset of rural Chennai to determine the essential knowledge on various aspects of coronary artery disease. Most of our patients were aware that chest pain, sweating, palpitation, increased consumption of fatty and oily food, diabetes mellitus, hypertension and smoking were associated with heart disease. What was surprising was that majority did not know that dyspnea, edema and oliguria could occur in Cardiovascular Vascular Disease. Many did not know that avoidance of sedentary lifestyle was heart healthy and almost 50% of the study population were unaware that consumption of increased amount of green leafy vegetables and could prevent heart disease. Half of the study population did not recognise that family history of premature cardiovascular disease could predispose to the same in the offspring. Methods to Increase this awareness and follow up programs to monitor whether they are implemented could go a long way to reduce the prevalence of the disease.
Objective: To experiment the antimicrobial susceptibility of crude extract from neem (Azadirachta indica) leaves against Staphylococcus aureus, Escherichia coli and Clostridium perfringens.
Methods: Through the water extraction method, the aqueous crude extract of neem leaves were obtained. Separate colonies of Staphylococcus aureus, Escherichia coli and Clostridium perfringens were isolated and identified on different agars. Agar cup diffusion method was done to test the antimicrobial susceptibility of the neem leaves crude extract against those bacteria on Mueller-Hinton agar. Susceptibility was determined based on the zone of inhibition formed on the agar of each bacterium culture.
Result: Neem was effective against Staphylococcus aureus and Clostridium perfringens. It was not effective against Escherichia coli.
Conclusion: Neem extract has some promisable antimicrobial effects against Staphylococcus aureus and Clostridium perfringens causative bacterial infections.
This research paper focuses on rainfall variations in Tamil Nadu, India using Wavelet, Linear regression and Artificial Neural Networks model from 2004 to 2017. As the rainfall is the key factor in understanding climate change, the seasonal datasets from 2004-2017 of Tamil Nadu state has been taken for study. The salient feature of this study is the application of Neural Networks and wavelet analysis. It reveals that the rainfall variations are ambiguous that it does not maintain a constant pattern. Wavelet coefficients of multiresolution spectrogram reveals that the intensity of rainfall in each year. Linear regression model divulge the pattern of rainfall followed in every season and the results show that except winter season all other season suffers deficient rainfall. The deficiency of rainfall may be due to different parameters like ElNino or LaNina pattern or global warming. Results showed that all seasons except winter does not maintain consistency in the rainfall variability. Winter season provides the positive slope values of 4.7 and 0.6 for January and February respectively. Moreover Artificial Neural Networks training provides prominent results of Regression value 0.98 which is comparably high with other seasons taken for study.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.