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Veena, S.
- How Long Does it Take for Tropical Marine Fish Stocks to Recover after Declines?Case Studies from the Southwest Coast of India
Abstract Views :232 |
PDF Views:85
Authors
K. S. Mohamed
1,
S. Veena
2
Affiliations
1 Central Marine Fisheries Research Institute, PO Box 1603, Kochi 682 018, IN
2 Mangalore Research Centre of Central Marine Fisheries Research Institute, PO Box 244, Mangalore 575 001, IN
1 Central Marine Fisheries Research Institute, PO Box 1603, Kochi 682 018, IN
2 Mangalore Research Centre of Central Marine Fisheries Research Institute, PO Box 244, Mangalore 575 001, IN
Source
Current Science, Vol 110, No 4 (2016), Pagination: 584-594Abstract
The depletion/collapse and recovery of tropical marine fish stocks have been studied by deriving the time-series of stock status of commercially fished marine species in Karnataka. Majority of stocks (22 out of 47) showed wide fluctuations in catch whereas 15 stocks were dwindling. This analysis of catch trends (as a simple proxy for biomass estimates) shows that, in spite of consistently increasing efforts and absence of many regulatory measures, most species (66%) had fast recovery capacity within 1-5 years whereas 9% were slow to recover. The depleted and declining stocks need to be carefully monitored and conservation and rebuilding plans need to be made.Keywords
Arabian Sea, Fluctuating and Dwindling Stocks, Karnataka, Recovery After Decline, Tropical Marine Fish Stocks.Full Text
References
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- An Efficient Association Rule Mining and Novel Genetic Algorithm for the Identification of Top–L Element
Abstract Views :199 |
PDF Views:1
Authors
S. Veena
1,
P. Rangarajan
2
Affiliations
1 Sathyabama University, Chennai, IN
2 R.M.D Engineering College, Chennai, IN
1 Sathyabama University, Chennai, IN
2 R.M.D Engineering College, Chennai, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 6, No 4 (2014), Pagination: 131-134Abstract
Frequent sets play an essential role in many Data Mining tasks that try to find interesting patterns from databases, such as association rules, correlations, sequences, episodes, classifiers and clusters. The mining of association rules is one of the most popular problems of all these. The identification of sets of items, products, symptoms and characteristics, which often occur together in the given database, can be seen as one of the most basic tasks in Data Mining. In this paper, a fast and efficient association rule mining algorithm has been proposed for reducing the cost and compresses the database by removing unnecessary transaction records and data items from the database that are not used for further processing. The speed of algorithm is increased because it needs to scan only the compressed database and not the entire database. Then the top l elements or most frequent item sets are identified based on the novel genetic algorithm.Keywords
Distributed Data Mining, Peer-to-Peer Network, Association Rule Mining, Novel Genetic Algorithm.
- A Survey on Plant Phenotype
Abstract Views :249 |
PDF Views:0
Authors
Affiliations
1 Department of ECE, SJCIT, Chickballapur - 562101, Karnataka, IN
1 Department of ECE, SJCIT, Chickballapur - 562101, Karnataka, IN
Source
Indian Journal of Science and Technology, Vol 10, No 4 (2017), Pagination:Abstract
Plant phenotype is a term used to describe the characteristics, such as height, biomass, growth, development, tolerance, resistance, architecture, ecology, yield, leaf shape and so on. A perceptible depiction of the plant’s phenomenal, ontogenetically, physiological and biochemical properties refers to plant phenotyping. In this paper we study about different types of phenotyping. Different type of imaging techniques like visible light imaging, fluorescence imaging is discussed for obtaining high throughput phenotyping. They are used to collect data for quantitative growth, yield and adapt to stress.Keywords
Fluorescence Imaging, Phenotyping, PDCU, Root and Root Tip Segmentation, Visible ImagingFull Text
- Novel Actinomycetales bacterium-PV7 Isolated from Kanyakumari Marine Sediments:A Prospective Source for Industrial and Pharmaceutical Enzyme Production
Abstract Views :170 |
PDF Views:3
Authors
Affiliations
1 Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT University, Vellore, TN - 632 014, IN
2 Molecular and Microbiology Research Laboratory, Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT University, Vellore - 632 014, Tamil Nadu, IN
1 Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT University, Vellore, TN - 632 014, IN
2 Molecular and Microbiology Research Laboratory, Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT University, Vellore - 632 014, Tamil Nadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 10, No 5 (2017), Pagination: 1471-1476Abstract
Research for the selection of different enzyme producing microorganisms are increased around the world. Marine actinomycetes are one of the most investigated group since they are considered as a potential source of biotechnologically interesting products. The aim of the present study was to isolate commercially useful enzymes producing marine actinobacteria from Kanyakumari marine sediments. A total of 10 actinobacterial colonies were isolated which were designated as PV-1 to PV-10. In primary screening PV1, PV5, PV7 and PV8 showed good activity for cellulase and lipase enzyme production with a zone of hydrolysis of 10 mm and above. The isolate PV7 showed maximum activity with a zone of hydrolysis of 20 mm and 19 mm for cellulase and lipase enzyme respectively. Among all isolates PV7 and PV10 showed higher protease enzyme production with a zone of hydrolysis 19 mm and 14 mm respectively. In secondary screening PV7 showed maximum activity of 18.65 U/ml for cellulase followed by 15.32 U/ml of protease and 11.34 U/ml of lipase activities. The potential isolate PV7 was identified as Actinomycetales bacterium-PV7 using molecular methods by 16S rRNA sequencing. This study concludes that marine actinobacterial can be considered as source for the production of industrial and pharmaceutical enzymes.Keywords
Marine Actinobacteria, Lipase, Protease, Cellulase, Actinomycetales bacterium.- Isolation and Characterization of Biosurfactant from Bacillus amyloliquefaciens VITANS6 Isolated from Oil Contaminated Soil Collected from an Automobile Workshop in Bangalore, India
Abstract Views :220 |
PDF Views:0
Authors
Affiliations
1 Molecular, Microbiology Research Laboratory, Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT University, Vellore - 632 014, Tamil Nadu, IN
1 Molecular, Microbiology Research Laboratory, Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT University, Vellore - 632 014, Tamil Nadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 11, No 1 (2018), Pagination: 207-211Abstract
The present study focused on the isolation and extraction of biosurfactant producing bacteria. Bacterial colonies were isolated from oil-soaked soil sample collected from an automobile work shop in Bangalore, India on Nutrient Agar medium. A total of 8 bacterial colonies were isolated and were designated as ANS-1 to ANS-8. All isolates were then screened for biosurfactant production. The primary screening consisted of haemolytic assay, where isolates ANS1 and ANS6 showed β-haemolysis and isolates ANS2 and ANS5 showed α-haemolysis. For secondary screening, oil displacement test and drop collapse test and emulsification index calculation were conducted. Isolate ANS6 showed positive for drop collapse test and oil displacement test. ANS6 demonstrated highest emulsification index of 63.333%. Extracted biosurfactant was characterized using FTIR which showed glycerine as a cyclic lipopeptides. The potential isolate with high biosurfactant producing ability was identified using 16s rRNA sequencing as Bacillus amyloliquefaciens VITANS6.Keywords
Biosurfactants, Haemolysis, Oil Contamination, Oil Displacement, Drop Collapse, Bacillus Amyloliquefaciens.References
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