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IN VITRO ANTIBACTERIAL ACTIVITIES STUDY OF ALBIZZIA LEBBECK (L) BENTH LEAF EXTRACTS
Sahoo Anjulata Manjari,Chakraborti Chandra Kanti,Nayak Sarojini,Rajgaria Akshay
International Research Journal of Pharmacy , 2012,
Abstract: To know the in vitro antibacterial activities of benzene, chloroform, acetone, ethyl acetate, ethanol and methanol extracts of the leaves of Albizzia lebbek(L) Benth. (Shirish), Family: Mimosaceae, present study was conducted. All the extracts were used at 3mg/ml and 6mg/ml concentrations. Against Staphylococcus aureus, Bacillus subtilis and Escherichia coli, antibacterial activities of the different extracts were studied. Considering the overall antibacterial activity pattern, it can be mentioned that both the chloroform and ethanol extracts possessed antibacterial activities against all the strains used. Out of these two extracts, chloroform extract was more potent than the ethanol extract as far as their antibacterial activities were concerned. The extracts, which displayed antibacterial activity, produced such activity in a dose dependent manner. For the study Tetracycline (25μg/ml) was used as positive control, while DMSO was the negative control.
Lumbar disc cyst with contralateral radiculopathy
Kishore Tourani,Belman Murali,Akshay Sahoo,Dandu Ravi Varma
Journal of Medical and Allied Sciences , 2012,
Abstract: Disc cysts are uncommon intraspinal cystic lesions located in the ventrolateral epidural space. They communicate with the nucleus pulposus of the intervertebral disc and cause symptoms by radicular compression. We report a unique case of lumbar disc cyst that was associated with disc herniation and contralateral radiculopathy. A 22 year old male presented with one month history of back-ache radiating to the left leg. Magnetic Resonance Imaging (MRI) showed L3-L4 disc herniation with annular tear and cystic lesion in the extradural space anterior to the thecal sac on right side, which increased in size over a period of 3 weeks. L3 laminectomy and bilateral discectomy and cyst excision was done with partial improvement of patients symptoms.
Development of Health Drink Enriched with Processed Garden-cress (Lepidium sativum L.) Seeds
Snehal Y. Mohite,Dhanashri B. Gharal,Rahul C. Ranveer,Akshay K. Sahoo
American Journal of Food Technology , 2012,
Abstract: The main objective of this study was to make a formulation which can be easily taken by the consumer. Therefore, it was decided to make a health drink, keeping in view the varied need of different consumers. Garden cress (Lepidium sativum) belongs to family Cruciferae and is grown in India, North America and parts of Europe. The edible whole seed is known to have health promoting properties hence, it was assumed that these seeds can serve as raw material for functional foods, sharing its peppery, tangy flavor and aroma. Since, it is rich in proteins, carbohydrates and certain essential minerals like calcium, iron and phosphorous along with crude dietary fiber (7.6%) it can be used as health drink with milk as its base. An attempt has been made by adding 5% sugar (w/v) in skimmed milk with 1% fat and different quantity of washed, boiled and powdered seeds of garden cress along with sodium salt of Carboxymethyl Cellulose (CMC) as suspending agent. The drink that was found most suitable, with an overall consumer acceptability of 8.75 was that containing 3% of the seed powder.
Characterization of Some Antimicrobial Substances from Seed Coat of Tamarindus indica Linn.
Shital S. W aghmare,Dipali Y. Jadhav,Jai S. Ghosh,Akshay K. Sahoo
British Journal of Pharmacology and Toxicology , 2010,
Abstract: Tamarindus indica is a well known fruit used widely in India, as it forms a seasoning in many foods. However, its preservative nature is very short lived as both malate and tartarate can be easily metabolized by many microorganisms. In this study an attempt has been made to investigate the inhibitory effect of the seed coat extract prepared in methanol, ethanol and acetone which showed the presence of other substances like furfural and its derivatives, levuglucosan, tetrazene, cyclohexasiloxane, dioxalene, etc. The microorganisms used were Staphylococcus aureus, Salmonella typhimurium and Pseudomonas aeruginosa.
Organising Training Events/Conferences: The Cost Effective Way
Akshay Sharma
Australasian Medical Journal , 2011,
Abstract: .
Sparse equidistribution problems, period bounds, and subconvexity
Akshay Venkatesh
Mathematics , 2005,
Abstract: We introduce a ``geometric'' method to bound periods of automorphic forms. The key features of this method are the use of equidistribution results in place of mean value theorems, and the systematic use of mixing and the spectral gap. Applications are given to equidistribution of sparse subsets of horocycles and to equidistribution of CM points; to subconvexity of the triple product period in the level aspect over number fields, which implies subconvexity for certain standard and Rankin-Selberg $L$-functions; and to bounding Fourier coefficients of automorphic forms.
Convex hulls of superincreasing knapsacks and lexicographic orderings
Akshay Gupte
Mathematics , 2015,
Abstract: We consider bounded integer knapsacks where the weights and variable upper bounds together form a superincreasing sequence. The elements of this superincreasing knapsack are exactly those vectors that are lexicographically smaller than the greedy solution to optimizing over this knapsack. We describe the convex hull of this $n$-dimensional set with $\mathcal{O}(n)$ facets. We also establish a distributive property by proving that the convex hull of $\le$- and $\ge$-type superincreasing knapsacks can be obtained by intersecting the convex hulls of $\le$- and $\ge$-sets taken individually. Our proofs generalize existing results for the binary case.
The Utility of Abstaining in Binary Classification
Akshay Balsubramani
Computer Science , 2015,
Abstract: We explore the problem of binary classification in machine learning, with a twist - the classifier is allowed to abstain on any datum, professing ignorance about the true class label without committing to any prediction. This is directly motivated by applications like medical diagnosis and fraud risk assessment, in which incorrect predictions have potentially calamitous consequences. We focus on a recent spate of theoretically driven work in this area that characterizes how allowing abstentions can lead to fewer errors in very general settings. Two areas are highlighted: the surprising possibility of zero-error learning, and the fundamental tradeoff between predicting sufficiently often and avoiding incorrect predictions. We review efficient algorithms with provable guarantees for each of these areas. We also discuss connections to other scenarios, notably active learning, as they suggest promising directions of further inquiry in this emerging field.
Analysis of Kak's Quantum Cryptography Protocol from the Perspective of Source Strength
Antony Akshay
Computer Science , 2011,
Abstract: This paper analyzes the performance of Kak's quantum cryptography protocol when intensity monitoring is used to detect the presence of Eve during transmission. Some difficulties related to interception to obtain useful data from the transmission are discussed. The analysis shows the resilience of the protocol towards the man-in-the-middle attack.
Sharp Finite-Time Iterated-Logarithm Martingale Concentration
Akshay Balsubramani
Computer Science , 2014,
Abstract: We give concentration bounds for martingales that are uniform over finite times and extend classical Hoeffding and Bernstein inequalities. We also demonstrate our concentration bounds to be optimal with a matching anti-concentration inequality, proved using the same method. Together these constitute a finite-time version of the law of the iterated logarithm, and shed light on the relationship between it and the central limit theorem.
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