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To understand complexation behavior of antibiotics, such streptomycin, tetracycline and oxime with studied oxovanadium coordination to novel ligands by various spectroscopic techniques. The crystal system, lattice parameters, unit cell, particle size and volume have been determined by X-ray powder diffraction data. The geometries of the complexes have been optimized on the basis of molecular modeling. Spectroscopic data indicates deprotonation & coordination of the secondary alcoholic OH and NH₂groups with oxovanadium. Mass spectrum explains the successive degradation of the molecular species in solution and justifies ML complexes. The crystal data: complex I is monoclinic crystal system space group P_21/M, a =14.4998(A),b =5.9531(A),c=4.4909(A),? =90.00°,? =96.29°,? = 90.00° , V = 385.44A³; complex II is tetragonal crystal system, space group P_4/mm, a=12.6313(A),b =12.6313(A),c=6.3494(A)? = 90.00° ?=90.00 °  ?=90.00° V =1013.06 A³. Molecular structures of the complexes have been optimized by MM2 calculations and supported octahedral arrangements in both complexes.

The bio-sorption process concern the mineral response to the bacterium presence, which is essentially interplay between microorganism and the physicochemical properties of the mineral surface. The adhesion of microorganisms to minerals results in alteration of surface chemistry of minerals relevant to beneficiation process due to a consequence of the formation of a biofilm on the surface or bio-catalyzed surface oxidation or reduction products. Low grade of finely disseminated iron ores have become the main sources of raw iron ores in many countries with the depletion of high grade deposits. In this paper, the amenability of utilization of Brevundimonas diminuta isolated and adapted on surfaces of iron and phosphate ores, as flotation reagents for separating the harmful impurities such as phosphorus in the bio-flotation of iron oxide-apatite minerals system is studied. The effect of micro-organism on the surface properties of the two single minerals has been studied through zeta potential and adhesion measurements as well as micro-flotation tests. The effect of pH of the medium on the surface properties and flotation behaviour of each single mineral is determined. Flotation of binary mixtures of haematite-apatite as well as natural iron ore has also been performed at different operating parameters.

An attempt is made to study the family dietary patterns and its association with socio-economic variables among Gond community of Melnadih village, Karra Gram Panchayat, Bilaspur district, Chhattisgarh, India. A homogenous population with varied occupational categories was selected by using 24-hour recall method of in-depth interview to obtain information from participants on their intake of foods on the previous day. A sample of 42 household(s) was selected randomly to assess the dietary intake. It is reported that agriculture practicing households have a mean calorie (1645.02 Kcal.) and mean protein (45.40 gms) consumption which is low when compared with wage labor category with a mean calorie of 2286.43 Kcal. and mean protein value of 57.50 gms. and with other services. A consumption unit of 2.9 indicates that ideal family size can avail the minimum requirements of balanced diet and can meet the daily average energy and protein requirements for the Indian population.

The aim of the present study is to investigate the protective effect of Opuntia dillenii (ker-gawl) Haw fruit extract against isoprenaline hydrochloride (ISPH) induced myocardial infarction (MI) in rats. Pretreatment with the fruit extract of Opuntia dillenii at 2.5 and 5.0 ml/kg body weight for 30 days significantly prevented the elevation of serum marker enzymes namely SGOT, SGPT, lactate dehydrogenase (LDH), troponin and increased the cardiac enzymatic antioxidant, TBARS and lipid profile levels in myocardial injured rats. The effect was more prominent at 5.0 ml/kg body weight. The study results thus demonstrated the cardioprotective potential of Opuntia dillenii against ISPH-induced myocardial infarction and associated oxidative stress.

The present investigation aims to study and characterize the dyeing performance of cotton fabrics finished with finishing bath formulation containing emulsion lattices based on acrylate monomers, chitosan and polyethylene glycol (PEG) with improvement of dyeing properties with acid and reactive dyes.The finished cotton samples are examined and evaluated through measuring nitrogen content and the Fourier transform infrared spectra (FTIR). Evidences of finishing were obtained by IR from the appearance of CO bands absorbance and the reducing of relative intensity of OH, with respect to cotton. The dyeing performance of the finished cotton fabrics includedng testing of ; dye-ability(k/s), percentage dye fixation , colour parameters(L*,a*,b* and colour difference(?E) and estimated light fastness grades with respect to the different used chitosan concentration in the finishing bath formulation.The work involved also studying the effect of different dyeing times on all of the last stated parameters.The obtained results showed that dye-uptake increased by increasing chitosan concentration in the finishing bath , the applied reactive dye showed the highest percentage increase in both dye-ability and percentage dye fixation .In addition the estimated light fastness reating values of all of the examined fabrics where these rating grade values increased by increasing both chitosan concentration in the finishing agent and dyeing time .In addition , the applied acid dye recorded the highest light fastness values reaching (4-5) for(3gm) chitosan after one hour dyeing compared to a rating value of (3)for blank fabrics assessed on standard gray scale.

E-Learning stands for electronic learning, which means delivering a course through computer. The growth of e-learning is related to the growth of ICT and is favorable because of the decreasing hardware and software costs. But there are other costs as well which have to be kept in account like the cost of infrastructure, its maintenance, training of staff and many others. Cloud Computing provides a platform to support e-learning. This paper reviews how cloud computing can be used as an effective platform to support E-Learning.

Comparative analysis of the shallow and deep aquifers of Nsukka SE, Nigeria was studied as a preliminary approach for the underground water resource development of the region. Method of approach involves the identification of rock formations and delineation of their stratigraphic relationships. Activities involved collection and analysis of water samples from boreholes and hand dug wells. A total of 14 water samples were collected (7 from shallow and deep aquifer each) and analyzed for inorganic and organic components. Ca2+, Na+, Mn2+, Cl-, Pb and Cd were analyzed using Atomic absorption spectroscopy. K+ was determined using flame photometer method. Copper Cu2+ was analyzed using spectrophotometer, pH was analyzed with the aid of pH meter, Fe2+ was determined calorimetrically using Spekker absorption meter; Tds was determined using glass fiber filter. Turbimetric method was used to assess turbidity. Anions like HCO3- were also estimated by titrimetric method. Coliform analysis was carried out by the most probable number technique (MPN). The result shows that average pH for deep and shallow aquifer gives 5.8 and 6.3, sulphate 14.2 and 10.97, Nitrate 2.5 and 2.2., Phosphate 1.48 and 1.68, iron 1.98 and 1.60 magnesium 11.4 and 11.8, Sodium 1.80 and 2.4, Chloride 8.4 and 9, Tds 33.51 and 62.17. The coliform count ranges from 3/100 to 7/100 ml only for shallow aquifer (pollution), magnesium is the major contributors of hardness in both cases. Deep aquifer water plots as magnesium cation and a no dominant anion and on the transition between fresh and salt water (brackish water). The shallow aquifer has magnesium sulphate and plots in the zone of sea water, and shows hard water. The SAR for deep aquifer is 0.58, while that of shallow aquifer is 0.32 both are excellent for irrigation. Both waters are ideal for use in industries and homes, while the aquifers are highly polluted by iron, the shallow aquifer is polluted by water borne diseases. Reference to these information is ideal for the water resource development of the region

Nutrients are considered as one of the most important parameters in the estuarine environment influencing growth, reproduction and metabolic activities of living beings. The results of an investigation carried out during March 2010 to August 2010 on physico-chemical and diversity of phytoplankton and zooplankton at the Manakkudy estuary (Southwest coast of India) were reported. Presence of Mangrove forest gives a helping hand in the maintenance of biodiversity and increase in fauna and flora of Manakkudy estuary (Brackishwater). Presently, 66 phytoplankton species representing different classes, viz., Bacillariophyceae (25); Chlorophyceae (18); Cyanophyceae (10); Dinophyceae (8) and Euglenophyceae (5) were recorded. Totally 93 species of zooplankton viz., Rotifera (42); Protozoa (24); Arthropoda (12); Cnidaria (11) and Annelida (4) were identified.

This Paper presents the parametric study for a four stroke single cylinder SI Engine using a dual fuel Gasoline and LPG as an alternative fuel for investigating the performance and emissions of SI Engine. The performance parameters brake power, torque, Bsfc, Bmep were examined with using AVL BOOST Software. In addition the exhaust emissions like NOX, CO & HC were also measured.SI engine fuelled by LPG has slightly decreased on power output as compared to Gasoline. However, engine fuelled by LPG reduce on specific fuel consumption (SFC). This study investigates the effect of dual fuel LPG with gasoline in a four-stroke spark ignited single cylinder SI Engine. The study was carried out at varying load for constant engine speed. The main objective of the parametric study is to investigate the effects of replacing individual petrol and LPG with their optimum mixture of dual fuel in a spark ignition engine, and to prove reduction in emissions.

Frequent pattern mining algorithms are designed to find commonly occurring sets in databases. This class of algorithms is typically very memory intensive, leading to prohibitive runtimes on large databases. A class of reconfigurable architectures has been recently developed that have shown promise in accelerating some data mining applications. In this paper, I propose a new architecture for frequent pattern mining based on a systolic tree structure. The goal of this architecture is to mimic the internal memory layout of the original pattern mining software algorithm while achieving a higher throughput. We provide a detailed analysis of the area and performance requirements of our systolic tree-based architecture, and show that our reconfigurable platform is faster than the original software algorithm for mining long frequent patterns.