Archives-May 2017

To retain the existing human resource, especially the expert and active ones, is of the main goals of each organization. The management tries to maintain the human resources by increasing their job satisfaction. Lack of attention to employees' job satisfaction leads to numerous problems of the most important is job turnover. Given this fact that most the factors affect the job satisfaction similarly affect the organizational commitment, according to scholars, there exists a significant relationship between them. Accordingly, after reviewing the literature relating to job satisfaction and turnover, the purpose of this study was to examine the mediating role of organizational commitment in the relationship between job satisfaction and intention to leave. In doing so, 224 employees of warehouse and logistics of Raazi Petrochemical Company were investigated by distributing the questionnaires and 200 well-qualified ones were returned. Gathered data was analyzed using the structural equation modeling technique. Research results indicated that the tested model is goodly fitted to data, and all the four hypotheses were statistically confirmed. In general, results of this study indicated the efficiency of proposed model for decreasing the under-study employees' intention to leave. Finally, some practical and research implications were provided for the statistical population, which can be utilized considering the research limitations.

In this work different samples of lipsticks were examined using (LIBS) to trace elements in them.

Vehicle Theftshas been rapidly increasing in the present automobile industry, designing an intelligent security system for vehicles can be done by using a microcontroller. The developed security system makes use of ARM microcontroller, touch screen, a GSM module, and MEMS that is embedded in the vehicle by interfacing it to Engine Control Module (ECM).In the present day vehicles, remote keyless entry system and immobilizer system are used for prevention of vehicle theft. The proposed project aims to design a theft prevention and thief identification system by adding another level of security enhancements and improvising the existing system to overcome drawbacks. As automobiles become more sophisticated, security system for vehicles must be stronger. Thelist of features implemented in this project are, smart gravitational lock, touch screen ignition, thief identification by camera etc., The features are implemented by using triple axis MEMS Accelerometer, Touch screen, GPS Receiver, GSM cellular modem, VGA spy camera. The goal behind this design is to prevent vehicles thefts rather than finding the theft vehicle and a spysystem to identify the thief for future assistance.

Estuarine diversity is one of the important aquatic diversity. It is a connecting link between the fresh water and marine water resources. Around 70 % of living organism particularly aquatic organism and human beings were presented in the bank of Estuarine. So it's called as rich habitat or livelihood area for all organism and also otherwise called as cradle of culture. Most of culture originated from the bank of rivers and estuarine area. In recent days estuarine diversity has been affected by various aspect like hydro biological activity and seasonal fluctuations, polluting factors and other man made activities. due to this reason estuarine diversity has been changed and de-promoted their nature. In this reason most of aquatic organism especially estuarine diversity decreased their nature of quality and quantity. This study mainly observed the study area diversity and the usage of nearby peoples.

Hyperlipidemia is an elevation of one or more fat proteins in the blood i.e., too much cholesterol in the blood. It is one of the leading causes of various cardiovascular diseases resulting in 40% deaths annually in USA. The aim is to assess and improve the knowledge attitude & practice in hyperlipidaemia patients.  A prospective observational study was conducted in Karuna Medical College Hospital, Palakkad from November 2016 to April 2017. The questionnaire was basically divided in to three sections (Knowledge, Attitude and Practice) with 15 questionnaires. Out of these 15 questionnaires 5 were related to knowledge, 5 were related to attitude and 5 were related to practice. Each positive answer was given a score of ‘one’ and the negative answer was given a score of ‘zero’. Marks scored 4 to 5 considered as good scorer, score 3 considered as average and 2 or below 2 considered as poor scorer.  A total of 107 cases were collected of which 101 cases were available for post intervention. All patients with hyperlipidemia in the age group 30-70 yrs, willing to participate were included in the study. Among the 101 completed cases, 63.3% was male and 37.7% was female patients. 53.5% of patients were from the age group 61-70yrs. 87.1% followed a mixed diet where as 12.9% followed a vegetarian diet. Before intervention, 9.9 % had good knowledge, 15.8% had good attitude and 4.9% had good practice; whereas after intervention 85.1% had good knowledge, 87.1% had good attitude and 37.6% had good practice in hyperlipidemia. Factors beyond knowledge and attitude contribute to disease management. Plausible factors could be poor self-management, lack of motivation, inadequate social support or lack of resources that are necessary for sustained life style modification or behavior change.

Number of plant species, in present time, is on the verge of extinction. Thus owing to this threat to plant species their identification has become very important. This paper presents a technique that has been implemented for the identification of plant species based on leaf images. The plant species identification involves three steps such as pre-processing, feature extraction and classification.

This paper introduces the theory of calibration estimator to ratio estimation in stratified systematic sampling scheme and proposes a class of calibration ratio-type estimators for estimating population mean Y ? of the study variable y using auxiliary variable x. The bias and variance of the proposed estimator have been derived under large sample approximation. Calibration Asymptotic optimum estimator (CAOE) and its approximate variance estimator are derived. An empirical study to evaluate the relative performances of the proposed estimator against members of its class is carried out. Analytical and numerical results proved the dominance of the new proposal.

This paper proposes, with justification, a class of product-cum-dual to product estimators for estimating the population mean in systematic sampling using auxiliary information. The bias and variance of the proposed class of estimators have been derived under large sample approximation. Asymptotic optimum estimator (AOE) and its approximate variance estimator are derived and efficiency comparisons made with existing related estimators in theory. Analytical and numerical results show that at optimal conditions, the proposed class of estimators is always more efficient than all existing estimators under review.

This study examines the impact of monetary policy on exchange rate movement in Nigeria over the period of 1981 to 2015. The data for the research was taken from Central Bank of Nigeria (CBN). Based on empirical analysis and econometrics technique, cointegration method was adopted to measure the long run relationship between exchange rate and the Monetary policy instrument such as money supply, Monetary policy rate, Treasury bill and Cash reserve ratio and the direction of causality between the variables using VECM Granger causality framework plus variance decomposition and impulse response for robust analysis. The result from Johansen’s estimation revealed that broad money supply, monetary policy rate and cash reserve ratio contributed positively and significant impact on exchange rate movement in Nigeria while 3-month Treasury bill has a negative but significant impact on the exchange rate movement. There is unidirectional relationship between broad money supply and exchange rate at 5% level of significance. There is no clear causal link between monetary policy rate and exchange rate movement in Nigeria. However, variance decomposition revealed that monetary policy rate contributed 0.3351% and 3.1298% in the short and long run. Treasury bill is negative and statistically significant which means that, a 1% increase will lead to 3.24% decrease (change) on exchange rate movement. Lastly, cash reserve requirement is positive and statistically significant. These results could be a guide to policy makers in analysing monetary policy instrument towards maintaining the strength of the naira. Government should pursue strategies that are designed to neutralize the effects of such practices as round tripping, over-invoicing and under-invoicing which have characterized the activities of the banking sectors in the recent years. Lastly, foreign exchange control policies should be adopted in order to help in determination of appropriate exchange rate value. This will go a long way of strength the naira

The paper focuses on review of Pakistan economy in order to evaluate the performance of the economy to identify leading economic problems of Pakistan. It discusses various macro economic problems indulging micro economic problems while highlighting the origin of these problems. It contributes in understanding of various concepts of macro economic parameters with respect to the economy and developing the interlink between these concepts. The analysis achieved the conclusion that Pakistan is currently facing adverse economic problems that need to be rectified with systematic mechanism in order to retrieve the identity of Pakistan that had been achieved with innumerable sacrifices.