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Characterization of the ethanolic extract of Randiaaccuminata stem (chewing stick) was carried out using Fourier Transform Infrared (FTIR) Spectrophotometer. The result of the analysis showed that the stem of Randiaaccuminata contain primary and secondary amines, aliphatic amine, alkyl halide, aromatic amine, nitro compounds, alkyne, alkanes, chloride and fluoride ions. The chloride and fluoride ions present in this plant is responsible for its cleaning property. It also prevents tooth decay, remove tooth stain, eliminates tooth aches and also promote cleaner teeth.

The ligand 2,5-bis(phenylcarbamoyl)terephthalicacid (bpctpa) was synthesized and characterized. Novel co-ordination polymers were prepared by using ligand (bpctpa) and transition metal ions viz. Mn(II), Co(II), Ni(II), Cu(II), and Zn(II). The co-ordination polymers and parent ligand were characterized by elemental analysis, spectral studies, thermogravimetry, number-average molecular weights ( ), diffuse reflectance spectral studies and magnetic susceptibilities. The biological activity of all the samples has also been monitored against plant pathogens.

Audiolingual is a method of teaching used in teaching languages based on behaviourist psychology and structuralist linguistics. At first, this method had many advocates, but later it was rejected as the result of having some problems. Later on new communicative methods were introduced. They emphasized the role of interaction as the means and the aim of learning a language. Similarly, they had their own problems. Therefore, it has been suggested that it is better not to hold rigidly to a single method, but instead use the points of strength of various methods. This paper intends to combine useful points of the two methods to devise an efficient method for teaching more especially in EFL contexts.

The present project describes the Comparative Analysis of Steel and RC Shear Wall. This work focus of static analysis is carried out for steel moment resisting building frame having (G+4) storey situated in zone IV stiffened without shear wall, with Steel Shear Wall and with RC shear wall. The scope of present work is to understand that the structures need to have suitable Earthquake resisting features to safely resist large lateral forces that are imposed on them during Earthquake. The analysis of steel plate shear wall and RC plate shear wall building are carried out using Software STAAD PRO V8i. . The main parameters consider in this project to compare the seismic performance of buildings are Nodal displacement Value, Drift Value, Moment and shear force value, Reactions and story shear Value. The models are analyze by equivalent static analysis as per IS 1893:2002. On the basis of Analysis and Observation Shear Wall is played a Vitol Role the displacement value at the intermediate Nodal Location are more. In the structure with RC shear wall Drift value is comparatively less the moment and Shear Force in the column for the structure with shear wall is more as compared to structure without shear wall. Moments and Shear force are more for Steel Shear wall Structure as that of RC shear wall structure. As the seismic forces are depend upon the Total weight of structure and provision of shear wall is increased. The total weights of structure thus, the reaction are more for structure with RC shear wall followed by steel shear wall. Storey shear value are less for Structure with RC shear wall as compared to steel shear wall and structure without shear wall.

Automatic annotation is in fact the process of classifying medical using global and local features of standard image codes (IRMA) while being extracted. This includes four technical data axes of providing image (modality), direction, anatomy, and biological system. A number of recent researches have been conducted on the extraction of the scale invariant feature transform for automatic annotation, but until now no complete comparison has been conducted on the accuracy of the different classifications in resolution and annotation of the images based on the scale invariant feature transform. The results from the known and famous classifiers used on the four characteristics of anatomy, direction, biological system and modality are presented in this paper, which show that Sequential Minimal Optimization is the most efficient classification group as far as accuracy is concerned.

The concentrations of copper and zinc in Sarotherodonmelenotheronfrom the Fosu Lagoonwere measured to assess the extent of contamination with these metals. The lagoon is a closed lagoon situated within the Cape Coast Municipality of Ghana. Atomic Absorption Spectrometry was employed to estimate the mean concentrations of copper and zinc within a three (3) month period from 16th September, 2005 to 2nd December, 2005. The concentration of copper was found to be in the range of 10.647mg kg-1 to 26.146mg kg-1 and that of zinc ranged from 4.138mg kg-1 to 96.236mg kg-1.The mean concentrations of copper and zinc were 19.665 mg kg-1 and 38.615mg kg-1 respectively. The mean concentration for copper was within the acceptable limit for human consumption whilst that for zincexceeded the FAO’s acceptable limit of 30mg kg-1. The hazard index for Copper exceeded 1. There is therefore, a very high probability of severe adverse health effect on the consumption of this fish species harvested from the Fosu Lagoon especially for children of 0 – 1 year. It was moreover, observed that no correlation existed between the values obtained for copper and zinc. This is a sharp contrast to literature.

In the present work, cost of the weld is minimized by considering the qualities of weld (strength parameters). Welded joints are prepared with Mild Steel plates and M.S electrodes. Strength properties of welded joints like tensile stress, shear stress are found by conducting experiments with Universal Testing Machine (UTM). An objective function is formulated for minimization cost in terms of geometric properties of weld, where as constraints are formulated in terms of strength properties. The optimization procedure involves the selection of the major geometric parameters such as length of weld, height of weld, depth of weld, width of weld and minimization of cost is considered as the design target. In the present work Mat Lab programs of SA and PSO are developed and executed using weld and test data and the results are compared.

According to United Nations office on drugs and crime UNODC (2011), alcohol and drug abuse posses a great threat to the social economic fabric of nations worldwide. In spite of the governments’ effort in the fight against drug and substance abuse in Kenya, the problem remains untamed. The study assessed the effectiveness of the school community in curbing drug and substance abuse (DSA) among secondary school students. Literature relating to various aspects of school community and curbing DSA in schools was reviewed. The study employed descriptive survey design. The study sample consisted of 35 head teachers and 407 students. Questionnaires were used to collect Data from head teachers and students. Content validity and reliability of the research instruments was ascertained. Descriptive statistics were used to analyse data. The findings of the study show that students obtain drugs from the school community. Lack of cooperation from parents and guardians was frustrating DSA intervention efforts in schools. The study concluded that the use of school community was not effective in curbing DSA in schools. The study recommended an integrated approach where different strategies or combination of strategies are used purposively for different DSA cases. Head teachers should collaborate with law enforcers, government agencies; NACADA, NGOs and FBOs to curb the supply and demand of drugs and substances. The Ministry of Education could review its policy on punishment and expulsion as regards to curbing alcohol and drug abuse among students. This paper is an extract of a study conducted in the year 2012 and 2013 in secondary schools in Nairobi County, Kenya.

The notion of --closed set was introduced and studied by R. Devi, V. Kokilavani and P. Basker [2]. In this paper, we introduce the concept of a -sets and studied the associated separation axioms.

Data mining is a new discipline lying at the interface of statistics, database technology, pattern recognition, machine learning, and other areas. The amount of data being generated and stored is growing exponentially, due in large part to the continuing advances in computer technology. From the financial sector to telecommunications operations, companies increasingly rely on analysis of huge amounts of data to compete. A new generation of techniques and tools is emerging to intelligently assist humans in analysing mountains of data. New problems arise, partly as a consequence of the sheer size of the data sets involved, and partly because of issues of pattern matching. However, since statistics provides the intellectual glue underlying the effort, it is important for statisticians to become involved. Our goal here is to provide a brief overview of the key issues in knowledge discovery in an industrial context and outline representative applications.