Archives-December  

This study explored implications of self-publishing activities to the process of acquisition in Nigerian university libraries. Survey method was employed using questionnaire as an instrument for data collection. A random sampling technique was adopted; seven respondents (Collection Development Librarians) were drawn from each of the six geo-political zones of the federation. The collected data was analyzed with the use of descriptive statistics which involved tables and simple percentages. The study showed that absence of multi-dimensional approach to marketing and promotion, poor editorial and operational errors and informal payment process accounted for low patronage of self-published materials by Nigerian university libraries. Therefore, there is need for further training in self-publishing for Author-Publishers, while CDLs should create the needed synergy by engaging the faculty and forming a consortium for acquisition of self-published books

Corrosion inhibition of mild steel in 1 M HCl solutions by methanol extracts of Costus lucanusianus was investigated at concentrations of 0.1 g/L, 0.2 g/L, 0.5 g/L, 0.7 g/L and 1 g/L using thermo-gravimetric analysis from 303 K – 333 K. Maximum inhibition efficiency of 88% and 86% for mild steel and aluminium was observed. The adsorption was found to obey Fruendlich isotherm. GC-MS analysis showed major components of Methanol Stem Extract (MSE) and Methanol leave Extract (MLE) as 1,3-bis (3-bromophenyl) 1,3-propanedione (12.60%) and 3–hydroxyl-4-methoxy benzylalcohol (72.17%) respectively. Quantum chemical calculations using Density Functional Theory employing the Becke exchange functional and the Lee Yang Parr correlation functional (BLYP), together with the generalized gradient approximation (GGA) employing the “double numeric polarization” (DNP) basis sets was used in optimization of the geometries of the molecules. The inhibitors showed significant inhibitive effect following the trend MSE > MLE.

In this paper cofinitely quasi-injective modules defined. Let and be modules. Let be a monomorphism from any module such that is cofinite submodule of . Then is called cofinitely injective module if any homomorphism can be extended to an homomorphism . An module is called cofinitely quasi injective, if is cofinitely injective module.

One of the major problems in power system is the occurrence of disturbances that affect the quality of electricity supply. Fault location detection is therefore the key to reliable operation of power equipments and satisfactory service delivery with minimum interruption. This need has given rise to fault location techniques so that the effects of fault can be mitigated with appropriate corrective measures. This paper, thus, presents two algorithmic approaches towards fault location detection with and without using transmission line parameters. A comparison between these techniques, that is the impedance-based method and travelling wave-based method was done to ascertain their degree of efficacy in estimating the distance of various faults at different locations on the transmission line model. The modelling and simulations were done using Simulink and the algorithms of both methods were written using MATLAB codes. Lower the value of percentage error, better the accuracy of algorithm.

Thevetia Nerrifolia and Jathropha Curcas seed oils were extracted from their oil seeds by soxhlet extraction using petroleum ether (40-60 oC) as solvent. The oils were characterized and the oil yield, refractive index acid value, saponification value, iodine value, colour and relative density were found to be 47.77%, 1.464, 4.365 (mg/KOH), 125.62 (mg/KOH), 98.48 (wij), 4+ and 0.926 for Thevetia Nerrifolia seed oil and 46.56%, 1.496, 33.65 (mg/KOH), 175.12 (mg/KOH) 105.43 (Wij), 3 and 0.913 for Jathropha Curcas seed oil respectively. Dimer acids were prepared from these seed oils by heating 200g of each of the oils under nitrogen inert atmosphere in a four necked resin kettle at a temperature of 300oC for 12 hours. The Dimer acids were thenreacted with 1,2- phenylenediamine at 210 ± 10oC in an inert atmosphere for 2 hours to give a fatty polyamide of Thevetia Nerrifolia and Jathropha Curcas respectively. Analysis of the fatty polyamide in term of physicochemical properties shows that their properties compare favourably with those prepared from dimer acids from well known vegetable oils in the fatty polyamidesynthesis.

PVA membrane and PVA-PES membrane were used for study of Pervaporation separation of IPA/water mixture. In present study experiments were carried out at different feed temperature (45-75 0C), feed concentration (6.28- 14.39 wt %.) and flow rates (6-18 LPH). The degree of swelling of the membranes studied at different concentration of water in feed. The experimental results of IPA/water system were presented and compared with regression analysis model data. It was observed that PVA-PES membrane has higher flux and lower separation factor than PVA membrane for separation of IPA/water mixture. The total permeation flux increased with increase in feed temperature and feed concentration. Increasing the feed flow rate had a positive effect on both permeation flux and selectivity due to elimination of concentration and temperature polarization. A permeation flux of 110.81 gm/m2.hr with separation factor 124.93 was achieved for PVA membrane and permeation flux of 158.44 gm/m2.hr with separation factor 25.24 was achieved for PVA-PES membrane. The Comparative results are presented in this work.

The effective analysis of blood samples is a pressing issue in the modern world. This can be addressed by lab on a chip system. This paper deals with the design of several systems for supplying oxygenated blood (star chip) and to mix blood cells for analysis (lamella mixer).we have used comsol multiphysics(Matthias K.Gobbert, (October,2007)) to simulate these structures and to optimize their design.

The Efficiency, Performance and Activity of a RDBMS must be consistent. This consistency is achieved through Concurrency Control. Concurrency control deals with the issues involved with allowing multiple people simultaneous access to shared entities, be they objects, data records, or some other representation. The Concurrency Control mechanism ensures that the database maintains its consistency. Concurrency control of distributed transactions requires a distributed synchronization algorithm, which has to ensure that concurrent transactions are not only serializable at each site where they execute, but that they are also globally serializable. The advanced protocols put forward are focused on increasing the level of concurrency and simultaneously decreasing the rate of transaction restarts. Some protocols also compromise consistency in order to achieve concurrency. Several Concurrency Control algorithms have been suggested and implemented and used in a variety of real world applications. This article reveals the analysis of various Concurrency Control Techniques on the database systems and further discusses some of the Hybrid Techniques, which provide efficient Concurrency Control on database systems.

Coordination compounds derived from N-phthaloylglycine and N-phthaloyltyrosine were synthesized. The ligands were formed by 1:2 molar condensation of phthalic anhydride with tyrosine and glycine respectively. The complexes were formulated as [Zn(PHG)2 (H2O)2] (OAc)2[1], [Ni(PHG)2 (H2O)2] (OAc)2 [2] and [Cu(PHT)2 ] (OAc)2 [3] characterized by melting point, conductivity, AAS , IR, Uv-Visible spectroscopies. Both ligands were found to be bidentate. For complexes [1] and [2] the metal ions coordinate through both oxygen of OH and C=O in the carboxylic group to give octahedral geometry whereas in the [3] the coordination of metal ion occurs through both oxygen of phenoxyl and carbonyl group resulting in tetrahedral geometry. The antimicrobial studies using four test organisms(P.aerugenosa, E.Coli, S. aureus and C. albicans) revealed that the metal complexes exhibit higher activity than their respective ligands.

In this project we applied five data mining algorithms using Weka Tool (Data Mining Program) cases of monthly financial data of firms in the different sectors. These datasets have five years’ experience between2007–2012. After we applied these algorithms at these datasets, we displayed the results and compared the results that found by using these different algorithms.