Edge is a basic feature of image. The image edges include rich information that is very significant for obtaining the image characteristic by object recognition. Edge detection refers to the process of identifying and locating sharp discontinuities in an image. So, edge detection is a vital step in image analysis and it is the key of solving many complex problems. In this paper, the main aim is to study the theory of edge detection for image segmentation using various computing approaches based on different techniques which have got great fruits.

Staphylococcus aureus is one of the major causes of skin and soft tissue infections. In this study we compared the antimicrobial activity of two different TiO2 nanoformulations against Staphylococcus aureus. We synthesized TiO2 nanoparticles of approximately 80 nm diameter and TiO2 nanowires of approximately 100 nm diameter. Both nanoformulations possess anti-microbial activity; were non-hemolytic and cytocompatible. However, the anti-staphylococcal activity of TiO2 nanowires was better than the nanoparticles. In broth culture, growth of S. aureus was only partially inhibited by 2% and 4 wt% TiO2 nanoparticles and completely inhibited by TiO2 nanowires till 24 h. TiO2 nanowires treated S. aureus cells exhibits diminished membrane potential than nanoparticle treated cells. The anti-microbial properties of both TiO2 nanoformulations were validated using ex vivo porcine skin model which supplements the in vitro assays. Anti-bacterial activity of the TiO2 nanowires were also validated against multi drug resistant pathogenic strains of S. aureus, showing the clinical potency of the TiO2 nanowires compared to its nanoparticles.

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The antiinflammatory activity of Betula alnoides extract was evaluated in acute and subacute inflammation models. The extract was also evaluated for antiinflammatory activity in sheep RBC induced sensitivity and in membrane stabilization models. Except for the sheep RBC induced sensitivity model, the extract showed significant antiinflammatory activity.

The hepatoprotective effect of 50% ethanolic extract of Ficus hispida L (Moraceae) by carbon tetrachloride (CCl4) induced liver damage in rats. The 50% ethanolic extract of Ficus hispida was studied for their hepatoprotective effects on CCl4 induced liver damage on Wistar albino rats. The degree of protection was measured by physical changes (liver weight), biochemical (SGPT, SGOT, ALP, total bilirubin, albumin and decreases in total protein). Pretreatment with extract significantly prevented the physical, biochemical changes induced by CCl4 in the liver. The effects of extract of Ficus hispida were comparable to that of standard drug, Silymarin. These results indicated that the Ficus hispida could be useful in preventing chemically induced acute liver injury. The present study, it can be concluded that, the 50% ethanol extracts of Ficus hispida possesses significant hepatoprotective activity.

The anti-inflammatory potential of methanol extract of Pavetta indica Linn. leaves (Family: Rubiaceae) was evaluated against several models of inflammation such as carragenin, histamine and dextran induced pedal inflammation in rats. The extract showed 48.41%, 41.10% and 24.22% inhibition respectively; when compared to that of control animals. The effect was comparable with that of the standard drug indomethacin, a standard non-steroidal anti-inflammatory drug. Simultaneous subplantar administration of the extract and carrageenin in a mixture helps in differentiating true anti-inflammatory action from an apparent anti-inflammatory effect due to counter-irritant activity. The methanol extract also effectively and significantly reduced cotton pellet induced granuloma. The percentage of inhibition was 62.78 at the dose 500 mg/kg, thereby suggesting its activity in the proliferative phase of the inflammatory process.

<p>All the devices are interconnected each other in digital form, for different applications the input data is encoded for error correcting and detecting purpose. The paper describes the transmission of QAM signals with two level encoded stages, i.e. convolutional and hamming coded GFDM system with 256-point IFFT at transmitter and FFT at the receiver using LABVIEW software. GFDM is a non-orthogonal, digital multicarrier transmission scheme which digitally implements the classical filter bank approach. GFDM transmits a block of frame composed by M time slots with K subcarriers. The higher order QAM is used because of transmitting more data but is less reliable when compared to lower order QAM. Based on GFDM specifications for the IEEE 802.11, latest 5G physical layer standards, the coding is provided by ½ rate encoder at the input side, and Maximum Likelihood decoder at the receiver side is used. The standard convolution code (7, [171, 133]), is used as encoder for the GFDM system. The GFDM complex values are displayed in the front panel, along with FFT and power spectrum is plotted for GFDM signal. The array of input bits and output bits are shown with green colour LED’s. The van de Beek algorithm is used at the receiver for maximum likelihood detection acts as convolutional decoder of GFDM signal. Next the signal is subjected to remove cyclic prefix and zero padding and applied to channel estimation algorithm. The un-equalized data and equalized data graph is shown in the front panel, before and after channel estimation VI. With BER VI available in the LABVIEW the data is normalized and its response is plotted with respect to SNR. BER values for different levels of encoders have shown in table for SNR values. This paper concludes the 32.91% improvement in BER for two levels of concatenated codes.Thus the GFDM signal outperforms the OFDM signal interms of BER for series levels of coding using labVIEW software.</p>

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