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Asif, Muhammad
- Evaluation of Antimicrobial Activity of Tephrosia procumbens Buch–Ham
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Authors
Affiliations
1 Dept. of Pharmacognosy, Luqman College of Pharmacy, Behind P and T Quarters, Old Jewargi Road, Gulbarga 585102, IN
2 HKES’s Society’s College of Pharmacy, Gulbarga, IN
3 Luqman College of Pharmacy, Gulbarga, IN
4 Allana College of Pharmacy, Pune, IN
1 Dept. of Pharmacognosy, Luqman College of Pharmacy, Behind P and T Quarters, Old Jewargi Road, Gulbarga 585102, IN
2 HKES’s Society’s College of Pharmacy, Gulbarga, IN
3 Luqman College of Pharmacy, Gulbarga, IN
4 Allana College of Pharmacy, Pune, IN
Source
Research Journal of Pharmacognosy and Phytochemistry, Vol 2, No 3 (2010), Pagination: 238-240Abstract
In the present study, the entire plant of Tephrosia procumbens Buch-Ham commonly known as Vempalli, Indigo sauvage (Fam-Fabaceae/ Leguminosae) was investigated for the phytochemical screening and antimicrobial property against certain microorganisms using disc diffusion method. The entire plant of Tephrosia procumbens were collected, shade dried at room temperature, pulverized and extracted with 95% ethanol in soxhlet extractor to get total ethanolic extract which is further fractionated with the solvents of different polarities. Total aqueous extract was also obtained by macerating the shade dried material with 3% of chloroform water I.P. All the extracts and fractions were subjected for Preliminary Phytochemical screening, which has shown the presence of Carbohydrates, Steroids and Flavonoids and evaluation of antimicrobial property by using disc diffusion method on various pathogenic forms of microorganisms including gram positive, gram negative and fungi. It was found that total ethanolic and total aqueous extract of entire plant of Tephrosia procumbens significantly inhibit the growth of microorganisms as compared to standard drugs Gentamycin and streptomycin (Hi-Media Lab. Mumbai).Keywords
Tephrosia procumbens, Antimicrobial Activity.
- Development of an Efficient Hierarchical Clustering Analysis using an Agglomerative Clustering Algorithm
Abstract Views :260 |
PDF Views:82
Authors
Affiliations
1 Department of Computer Science, Lahore College for Women University, Lahore 54000, PK
2 Department of Information Technology, Government College University Faisalabad 38000, PK
3 Department of Computer Science, National Textile University, Faisalabad 37610, PK
1 Department of Computer Science, Lahore College for Women University, Lahore 54000, PK
2 Department of Information Technology, Government College University Faisalabad 38000, PK
3 Department of Computer Science, National Textile University, Faisalabad 37610, PK
Source
Current Science, Vol 117, No 6 (2019), Pagination: 1045-1053Abstract
Clustering algorithms are used to generate clusters of elements having similar characteristics. Among the different groups of clustering algorithms, agglomerative algorithm is widely used in the document clustering domain. This study aimed to examine the effectiveness of agglomerative clustering algorithm in document clustering by enhancing its efficiency and evaluating it through implementation. The resulting values, precision = 0.8571, recall = 0.8571 and F-measure = 0.857076 indicate the highest level of accuracy and efficiency compared to existing algorithm.Keywords
Cosine Similarity Measure, Document Clustering, F-Measure, Hierarchical Agglomerative Clustering, Preprocessing, TF-IDF.Full Text
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