253 research outputs found
EVALUATION OF ANTIOXIDANT AND CHEMOPREVENTIVE POTENTIAL OF METHANOLIC EXTRACTS OF LEAF OF AEGLEMARMELOS ATTRIBUTES TOWARDS DUCTAL CARCINOMA STUDIED IN MCF7 CELLS
Objective: The objective of the present research work had been made to evaluate the antioxidant potential along with anti-cancer activity of methanolic extracts from the leaf of A. marmelos.
Methods: Standard methods for antioxidant potential in terms of DPPH and nitric oxide scavenging assay, and anticancer activity in vitro method (Cytotoxicity/MTT assay and % of cell viability) by using MCF7 cell line.
Results: Results of antioxidant efficacy revealed that the IC50 value for DPPH and nitric oxide scavenging assay was considered to be 62.032%, and 20.69% respectively. The methanolic extract of A. marmelos was found to possess enhanced anticancer potential against MCF7 cells. Cytotoxicity activity of MCF7 cells, when treated with methanolic extract of A. marmelos, was found to be 43.42% at 25”g, 52.31% at 50”g, 56.31% at 75”g, 58.38% at 100”g, 62.25% at 125”g. The IC50 value was found as 49.36”g. Toxicity was significantly increased with increased concentration and viability significantly decreased with the increased concentration of methanolic extract of leaf from A. marmelos for MCF7 cell when compared to cyclophosphamide.
Conclusion: From the studies, it was postulated that methanolic extract of leaf from A. marmeloshas significant chemopreventive activity. These specific identities will be useful for the identification and authentication of raw drug
On some new modular relations for Ramanujan's remarkable product of theta functions
In this paper, we establish several new P-Q mixed modular equations involving thetafunctions which are similar to those recorded by Ramanujan in his notebooks. As an application, we establish several new general formulas for explicit evaluations of Ramanujan's remarkable product of theta-functions and a remarkable product of theta-functions
Color Partition Identities Arising from Ramanujan's Theta-Functions
We establish several partition identities with distinct colors that arise from Ramanujanâs theta-function identities and formulas for multipliers in the theory of modular equations. Also, we deduce few partition congruences as a corollary of some partition identities
ESTIMATION OF ANTI-INFLAMMATORY ACTIVITY AS WELL AS APOPTOTIC ACTIVITY OF ETHANOLIC EXTRACTS OF CROCUS SATIVUS
Objective: Inflammation is a body reaction which embroils cellular and biochemical responses, which is not only symptom for shared diseases but also known to be an initial phase for certain serious Alzheimerâs, cancer, heart vascular diseases. In order to overcome these drawbacks, there is an urgent need for nutraceuticals with excellent anti-inflammatory response with minimum side effects. An attempt has been made to evaluate the anti-inflammatory activity along with gene expression analysis on ethanolic extracts of Crocus sativus (CSEE).
Methods: Dried stigmas of C. sativus were analyzed for anti-inflammatory activity by macrophage scavenging assay. In this study, the phagocytic activity of the extract was tested on oxidative burst reduction of macrophages. RT-PCR was performed to analyze the anti-apoptotic gene expression during cell death, as a result of the compound treatment on cancer cells.
Results: The CSEE unveiled high phagocytic activity on the oxidative burst reduction, presenting intracellular killing and the enhancement of lysosomal enzyme activity, showing the active degranulation of macrophages.
Conclusion: These findings suggest that C. sativus possessed excellent anti-inflammatory as well as apoptotic activities. Hence it was proposed that C. sativus could be exploited against oxidative stress, anti-inflammatory, cancer and ageing therapy to justify their use in traditional medicine as a nutraceutical.
Peer Review History:
Received 3 December 2018; Revised 18 December; Accepted 1 January, Available online 15 January 2019
Academic Editor: Dr. Marwa A. A. Fayed, University of Sadat City, Egypt, [email protected]
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Received file: Reviewer's Comments:
Average Peer review marks at initial stage: 5.5/10
Average Peer review marks at publication stage: 8.0/10
Reviewer(s) detail:
Dr. Nada Farrag, Misr International University, Egypt, [email protected]
Noha El Baghdady, MTI University, Cairo, Egypt, [email protected]
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Analysis of Confusion Matrix to Combine Evidence for Phoneme Recognition
In this work we analyze and combine evidences from different classifiers for phoneme recognition using information from the confusion matrices. Speech signals are processed to extract the Perceptual Linear Prediction (PLP) and Multi-RASTA (MRASTA) features. Neural network classifiers with different architectures are built using these features. The classifiers are analyzed using their confusion matrices. The motivation behind this analysis is to come up with some objective measures which indicate the complementary nature of information in each of the classifiers. These measures are useful for combining a subset of classifiers. The classifiers can be combined using different combination schemes like product, sum, minimum and maximum rules. The significance of the objective measures is demonstrated in terms the results of combination. Classifiers selected through the proposed objective measures seem to provide the best performance
On some new general theorems for the explicit evaluations of Ramanujanâs remarkable product of theta-functions
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