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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.

This study had tried to assess the determinants of the food security of rural people of Malawi. The study was based on data collected from Malawi Third Integrated Household Survey (IHS3) in 2010/11. Since the objective variable is dichotomous type the study employ logistic regression model for analysis. There was consideration of different economic as well as societal factors to check that whether they significantly affect the dependent variable one or not. Based on the regression result eight of the regressors are significant in affecting probability of households to be food secured. Variables like education participation of households, sex of household head and age square positively affect the probability of being food secured. Other variables like cassava production, emergency of shocks, participation in off farm activities and age of household head affect probability of being food secured in the opposite direction as to the expectations. TLU and Land holding are insignificant in affecting the probability of rural households in order to be food secured.

This study focused on the production of fuel briquettes from wheat offal. The variables investigated are particle size and blending ratio. The wheat offal used was sourced from Maiduguri Flour Mill. The material was sieved into fine, medium and coarse particle sizes using 1mm and 2mm wire mesh. Each particle size was thoroughly mixed with gelatinous cassava starch in ratios; 90:10, 85:15, 80:20 and 75:25 by weight. The blended material was then hand-fed into a 3.11cm x 40.50cm cylindrical mould and compressed at a pressure of 10.76kg.cm-2. In order to have enough briquettes for material testing, each production was replicated 10 times. The physical properties; stability of the briquettes was evaluated as a function of compressed and relaxed density, relaxation ratio, moisture content while the combustion properties; %volatile matter, %ash content, %fixed carbon and heat value were evaluated for each production. The result shows that all the physical properties of the briquette were greatly influenced by particle size (p<0.001). In density, there is no significant effect of the binder level on the briquette produced but gives the highest result when medium particles size was used with the valued of 1.06g/cm3 and lowest in coarse particle 0.46g/cm3, binder level had no significant effect on briquette produced (p= 0.281).The EMC was best in medium particle size with the value 131.25% at 25% binder level with the value 135.63%, EMC was significantly affected by binder level. Volatile matter was not influenced by particle size and binder level at (p=0.581) and (p=0.980) respectively but has better performance in medium particle size of 4.30% at 15% with the value of 4.14%. Ash content was not significantly influenced by particle size at (p=0.0069) but significantly influenced by binder level at (p<0.002) and was preferable in medium particles of 2.40% at 10% binder level with the value 2.08%. Fixed carbon was not influenced by particle size at (p=0.150), also better in medium particle of 93.84% at 20% binder level with value 94.01%, while Heat value was influenced by particle size and binder level at( p=0.005)and (p=0.0021) respectively, highest with medium particles of 33.52mj/kg at 20% level of binder with the value 33.59mj/kg. It was observed that better and combustible briquette can be obtained from medium particles of wheat offal at low binder ratio.

Strategic supply chain partnership is a collaborative coalition of two or more firms in a market to facilitate joint efforts collaborations in one or more core values. Many different stakeholders are involved in health care supply chain practices. Therefore, the application of supply chain management practices in a health care setting is almost by definition related to organizational aspects like building relationships, allocating authorities and responsibilities, and organizing interface processes. The performance of most public health facilities in supply chain management has been wanting. The study therefore sought to establish effect of strategic partnership on organizational performance. The study adopted descriptive survey design. The target population was 3500 employees in Moi Teaching and Referral Hospital. Purposive sampling was used to select employees in the procurement department that gave a sample size of 133 respondents. Questionnaires was used to collect data. The data collected was analyzed using descriptive statistics with the aid of Statistical Package for Social Sciences (SPSS v 21.0). The study established that the organization maintains good relationship with suppliers and distributors, collaborates with suppliers in coming up with specification, involves major suppliers in their planning and collaborates with major suppliers in implementing business activities. Strategic partnership has significant effect on organizational performance. The study recommended that the organizations should explore other avenues that they can benefit on strategic partnership with the suppliers.

Instant yam (pre-gelatinized) flour was made from different yam species by varying steaming methods and time. Diced cubes were steamed in autoclave for 5 min and Barlet steamer at for 10, 20 and 30 min. Raw and pre-gelatinized cubes were dried and milled. Pasting properties of flour and sensory analysis of reconstituted dough were determined. Pasting properties of samples steamed for 5 min in autoclave were close to those steamed for 20 min in Barlet steamer, which were not significantly (p<0.05) different from those steamed for 30 min. Pre-gelatinized D. dumetorum flour could serve as thickening agent in instant food products. Its cultivation should be encouraged for industrial application.

This work was aimed to prepare four non ionic surfactants based on tolyl triazole (I, II, III and IV), and evaluate their efficiency as corrosion inhibitors for X – 65 type carbon steel in deep oil well formation using potentiodynamic polarization, electrochemical impedance spectroscopy (EIS) and weight loss measurements. The experimental results showed that these inhibitors revealed a very good corrosion inhibition even at low concentrations. It was found that, the adsorption ability of the surfactant molecules on carbon steel surface increased with the increase of both ethylene oxide units and molecular size. Critical micelle concentration (cmc) represents the key factor for the selected surfactants. Potentiodynamic polarization curves indicate that the inhibitors under investigation act as mixed type i.e., promoting retardation of both anodic and cathodic discharge reactions. Also, EIS data showed that both (I %) and charge transfer resistance (Rt) are increased where as electrochemical double layer resistance (Cdl) is decreased. Finally, scanning electron microscope (SEM) and energy dispersive X- rays analysis (EDX) were used to study the nature of the protected film formed on carbon surface.