An Overview of Magneto-Electric Dipole Antenna Feed Design

In this paper , an overview of various feed design techniques of Magneto- Electric dipole antenna has been analyzed and stated. Also it has been observed that with change in feeding design , the impedance bandwidth also varies. Different feeding pattern can change the impedance bandwidth from 25.5% to 114%, with stable gain and radiation pattern

A Study on Portal Vein and Its Intrahepatic Branching Pattern

The present study describes the intra-hepatic branching pattern of portal vein in human liver obtained from Embalmed Cadavers at Institute of Anatomy, Madras Medical College. Manual dissection and Radiological method were used for this study. The portal vein was traced from its course to the various segments of the liver. The most common variant is trifurcation of the portal vein. The portal variants must be diagnosed before surgical and interventional procedures. The aim of the present study is to review portal venous anatomy and its clinical implications

Synthesis of peptidyl ureas using p-​nitrophenyl (9-​fluorenylmethoxycarbonylamino)​methylcarbamate derivatives

Carbamates Fmoc-​NHCHRNHCO2C6H4NO2-​p (Fmoc is 9-​fluorenylmethoxycarbonyl, R is an amino acid side chain) were prepd. using isocyanates derived from Fmoc-​amino acid azides and p-​nitrophenol in the presence of an equimolar quantity of N-​ethyldiisopropylamine. The carbamates were coupled with amino acid ester hydrochlorides to afford dipeptidyl ureas

Seasonal Variations and Identification of Pathogenic Pollution Indicators from Royapuram Backwaters

Sewage and industrial effluents from Ennore, Chennai harbour and surrounding area have a greater impact on the Royapuram back water affecting the aquatic animals and in tum the human population. These waste carry enormous number of microbial pathogens and other heavy metals resulting in greater economic loss. The current study is aimed at analysing the total viable count of bacteria and pathogenic bacterial species in the water and sediment samples taken from different places of Royapuram fishing area, from where many kind of fishes and molluscans are taken for human consumption .The samples werc collected in pre monsoon, monsoon and post monsoon seasons. Water analysis was done by multiple tube tests to assess the MPN values. The bacteria were isolated using Zobell's agar medium, selective and non selective medias and identified using biochemical test. The organisms were identified to genus, level according to Bergey's manual. Results of field Investigations showed a definite association between the levels pollution and microbial population. Results showed a higher distribution of pathogenic and non pathogenic bacteria in the sediment than in the water sample both in monsoon and post monsoon seasons. Analysis showed the prevalence of human pathogens and fecal indicator organisms like Escherichia coli, Salmonella sp.,Vibrio sp., Shigella sp. in water and in the sediment samples

Identification of Gut Microflora from Green Mussel (Perna viridis)

The main source of Bacterial contamination of Estuary waters are domestic waste water and sewage discharge. In this present investigation, Green Mussels were collected from three different stations of Chennai Coast - Ennore, Royapuram and Muttukadu. The mussels were degutted and bacteria were isolated using selective and non-selective agar medium and further confirmed by biochemical tests. The organisms were ident illed to generic or group level according to Bergey's manual of systematic Bacteriology. Different group of fecal coli forms and Vibrio spp. have been isolated. Escherichia coli, Vibrio alginolyticus, V. parahaemolyticus and V. harveyi were the dominant species. Vibrio parahaemolyticus, a facultative pathogen widely complicated in outbreaks of gastroenteritis related to the consumption of improperly processed seafood was present in the gut of Green Mussels

MW-​enhanced high-​speed deprotection of Boc group using p-​TsOH and concomitant formation of N-​Me-​amino acid benzyl ester p-​TsOH salts

A high-​speed, complete deprotection of Boc group from Boc (Boc = tert-​butoxycarbonyl) amino acids and protected peptide esters employing p-​TsOH in toluene under microwave irradn. is found to be complete in 30 s. The deprotection can be carried out in methanol and acetonitrile also. Under the present conditions, C-​peptide benzyl esters and O-​benzyl ethers have been found to be stable. This has permitted us to carry out the synthesis of [Leu]​enkephalin employing the Boc​/Bzl-​group strategy. Further more, it has been found that both Nα-​Fmoc (Fmoc = 9-​fluorenylmethyloxycarbonyl) and Nα-​Z (Z = benzyloxycarbonyl) groups are completely stable. The present conditions can be extended for the concomitant removal of the Boc group and the formation of C-​benzyl amino acid esters as well. This has been utilized for the synthesis of N-​Me amino acid benzyl esters starting from Boc-​N-​Me amino acids in a single step

Antihepatotoxic effect of Elephantopus scaber L. on carbon tetrachloride-induced hepatotoxicity in rats

Elephantopus scaber was used in folk medicine in several countries to treat different diseases. Liver diseases are major World wise health Problems. The Present aim of the study was evaluate The Antihepatotoxic effects of different fractions of Elephantopus scaber against Carbon tetrachloride (CCl4) induced hepatic damage in Rats. All the fractions were given orally in different doses (125mg/kg, 250mg/kg, 500mg/kg). The Antihepatotoxic effect was assessed by measuring serum parameters like  aspertate transaminase (AST), alanine transaminase (ALT), Alkaline Phospatase (ALP) and total bilurubin.  All the fractions of Elephantopus scaber showed Antihepatotoxic effect.The ethanol fraction was shows significant percentage protection than compared to other fractions. Therefore, our study supports the isolation and use of active constituents from Ethanol fraction of Elephantopus scaber in treating of liver disease

Efficiency of gamma irradiation and ethyl methane sulphonate in inducing variations in Jasminum auriculatum Vahl.

Vegetatively propagated crops like Jasminum auriculatum have a constraint in genetic variation due to a narrow genetic base that restricts the insights in any crop breeding programme. Mutation breeding is a potential tool that directs a way to create desirable variation effectively in vegetatively propagated crops. The optimum dose of mutagen is the one which produces the maximum frequency of mutation in turn the variation, with minimum killing. The aim of the present paper unveils the Lethal Dose (LD50) and the growth reduction dose (GR50) for both Gamma irradiation (GI) and Ethyl methane sulphonate (EMS) for the ecotype ‘Muthu Mullai’ of Jasminum auriculatum. These parameters of GR and EMS treated cuttings were analysed by considering the GR50 values of the mortality rate (57%, 48%), survival percentage (12.479Gy, 13.268mM), shoot length (18.59Gy, 18.28mM), root length (20.39Gy, 18.17mM), number of leaves (22.29Gy, 17.47mM), number of sprouts (22.97Gy, 16.17mM), vigour index (10.43Gy, 11.05mM), leaf length (21.61Gy, 19.90mM) and leaf width (19.2Gy, 16.17mM). The LD50 value was 12.479 Gy for GI and 13.268 mM for EMS treatment. The GR50 for different growth parameters ranged from 14.93 to 22.9 Gy for GI and 1.05 to 19.9 mM for EMS treatment. The mutagenic efficiency and effectiveness were 214.96 and 89.36 for GI and 48.66 and 33.77 for EMS treatment, respectively. These doses can be used for generating considerable variation, which can be put to use in future crop improvement programmes for Jasmine

Temporary Works in Construction of Bridges Near Third Party Assets

This paper gives a summary of the temporary works and methods applied to enable the construction of bridges near third party assets. The temporary structures have a significant impact on the cost, construction method and construction safety of the supported permanent structures. In the literature, there are many examples of how the temporary works could fail catastrophically and could endanger public life if hazard identification, risk assessment and quality checks are not carried out by competent people or organisations. A brief literature survey of the construction techniques is outlined here. This paper looks at more recent failures and draws some more lessons with a re-emphasis on the use of industry established processes, guidelines for preventing catastrophic events. The paper also describes case histories, where mitigation measures are implemented in order to ensure safety by means of independent checks, monitoring and back analysis

An IoT Based Cloud Deployment Framework for Effective Classification of Machine Conditions

Cloud services are proposed for real-time data acquisition, data classification, data processing and decision making, which are highly interconnected services for effective condition monitoring of electrical machines. The proposed Software as a Service, Storage as a Service and Platform as a Service layers address the challenges of data storage and scalability while making analysis on the cluster of machines in an Industrial Environment. An experimental setup consisting of two DC motors coupled to AC Generator operating at different locations is considered to evolve the proposed model for effective integrated monitoring and decision making. This cloud-based vibration monitoring model provides services for data acquisition from the IoT devices mounted on the shafts of the DC motors, data storage to store the enormous amount of acquired signal data from multiple sensors, data classification of vibration signals for effective statistical analysis to estimate adaptive cluster of thresholds and appropriate decision-making services on demand over the Internet to utilize the reliable service of the machines in a persistent way. The computational engine will do inherent statistical analysis of the vibration signals to estimate the cluster of thresholds adaptive to various operating conditions. The services have been deployed without any limitation in a cloud environment and the industrial applications can share information using the deployed services from anywhere on demand basis. The deployed cloud service for the enhanced statistical classification algorithm eliminates the false identification of failures, which not only increase the availability of machines for intended operations but also reduce the maintenance cost. The resulting threshold values are compared with that of the vibration analysis carried out on the machine beds locally using myRIO for data acquisition in LabVIEW and the proposed model ensures the integrity in appropriate decision making with assured scalability