EICHHORNIA MEDIATED COPPER OXIDE NANOPARTICLES: IN VITRO ANALYSIS OF ANTIMICROBIAL ACTIVITY

Objective: The present investigation determines the biological synthesis and characterization of Copper oxide nanoparticles from aqueous extract of Eichhornia crassipes and assessing its effects on antimicrobial activity against the pathogens.Methods: In this method Eichhornia mediated copper oxide nanoparticles were synthesized and characterized by FT-IR, FESEM and EDX and also antimicrobial activity was determined using the well diffusion method.Results: The antimicrobial activity of Eichhornia mediated copper oxide nanoparticles was tested against selective pathogens and maximum zone of inhibition was observed in S. aureus and A. flavus at 100 µg/ml concentration.Conclusion: The green synthesized copper oxide nanoparticles have antimicrobial activity against selective microorganisms and it can be effectively used as a good antimicrobial agent.Â

SCREENING FOR PHYTOCHEMICALS AND FTIR ANALYSIS OF MYRISTICA DACTYLOIDS FRUIT EXTRACTS

Objective: The present investigation focus on screening of phytochemicals and FT-IR analysis of Myristica dactyloids fruit extracts. The fruit extracts were prepared using five different solvents.Methods: The phytochemical analysis and FT-IR (Fourier transform infrared spectroscopy) analysis were performed using standard methods.Results: The results reveals that the alkaloids, steroids, flavonoids, phenolic compounds, proteins, carbohydrates, cardio glycosides and saponins were present in methanolic extract when compared to other solvent extracts. FT-IR analysis shows the presence of different functional groups such as carboxylic acids, aromatics, alkanes, alcohols, phenols, aliphatic amines, alkenes and amine groups in the fruit extracts.Conclusion: The study concluded that the methanolic extract (M. dactyloides fruit) has potential bioactive compounds

Knowledge-based variable selection for learning rules from proteomic data

<p>Abstract</p> <p>Background</p> <p>The incorporation of biological knowledge can enhance the analysis of biomedical data. We present a novel method that uses a proteomic knowledge base to enhance the performance of a rule-learning algorithm in identifying putative biomarkers of disease from high-dimensional proteomic mass spectral data. In particular, we use the Empirical Proteomics Ontology Knowledge Base (EPO-KB) that contains previously identified and validated proteomic biomarkers to select <it>m/z</it>s in a proteomic dataset prior to analysis to increase performance.</p> <p>Results</p> <p>We show that using EPO-KB as a pre-processing method, specifically selecting all biomarkers found only in the biofluid of the proteomic dataset, reduces the dimensionality by 95% and provides a statistically significantly greater increase in performance over no variable selection and random variable selection.</p> <p>Conclusion</p> <p>Knowledge-based variable selection even with a sparsely-populated resource such as the EPO-KB increases overall performance of rule-learning for disease classification from high-dimensional proteomic mass spectra.</p

Indications and outcome of repeat penetrating keratoplasty in India

BACKGROUND: Repeat penetrating keratoplasty is quite often required as there is high chance of failure of the primary graft particularly in the developing world. We planned a study to analyze the indications and outcome of repeat penetrating keratoplasty in a tertiary care centre in India. METHODS: A retrospective analysis of all the patients who underwent repeat penetrating keratoplasty, between January 1999 and December 2001 was performed. The parameters evaluated were indication for the primary penetrating keratoplasty, causes of failure of the previous graft, and final visual outcome and clarity of the repeat corneal grafts. RESULTS: Of fifty-three eyes of 50 patients with repeat penetrating keratoplasty (three patients underwent bilateral corneal regrafts), 37 eyes had undergone one regraft each, 14 eyes two regrafts and two eyes had three regrafts. The follow-up of the patients ranged from one to three years. The most common primary etiologic diagnosis was vascularized corneal scars (66%), of which the scars related to infection were most common (68.5%). Twenty-eight regrafts (52.8%) remained clear at a mean follow-up of 1.54 ± 0.68 years, of which 25 were single regrafts (89.3%). The commonest cause of failure of regraft was infection to the corneal graft (recurrence of herpetic infection in 9 eyes and perforated graft ulcers in 3 eyes). Three (18.6%) of the 16 eyes with multiple corneal regrafts achieved a BCVA of 6/60. Overall, only five eyes (all with single regraft) achieved a BCVA of 6/18 or better at the end of follow-up. CONCLUSION: Graft infection is the leading cause of failure of repeat keratoplasty in this part of the world. Prognosis for visual recovery and graft survival is worse in eyes undergoing multiple regrafts

A novel logarithmic prefix adder with minimized power delay product

17-20Parallel prefix addition is a technique for speeding up binary addition. Classical parallel prefix adder structures developed so far are optimized for logic depth, area, fan-out and interconnect count of logic circuits. Due to continuing integrating intensity and growing needs of portable devices, low-power and high-performance designs are of prime importance. A new technique, proposed for performing parallel prefix addition, has least power delay product in comparison with its peer prefix adder structures. Tanner EDA tool was used for simulation in TSMC 180 nm technology