Archives-May 2013

Since the beginning of human creation, culture, publishing and promoting the divine religions and prophets of the most important functions and convey Islam with the seal of the Prophet Muhammad (p.) as the most complete only religion acceptable to God(Al-Imran verse 65), Revealed teachings, orders of worship and happiness humanity was completed. Since all the teachings of Islam, rooted in compassion and kindness of God and have fun and the interpretation of Ali (AS) which states: (Feizol-Islam, 2004p. 313). This religion is based on love and columns. In this article are intended to explain the importance of Promote Islam, How to use special tools to Promote the love of Jesus in order to increase productivity and promotional activities, we examined the effectiveness of missionaries and Clergymen.

Background: Iron oxide nanoparticles as contrast elements causing the cancer cells used in MRI and heat therapy are extensive. However, the effects of nanoparticles on human health has not been fully investigated. Objectives: In this study, iron oxide nanoparticles effects on thyroid hormones (T3 and T4) and TSH in adult male Wistar rats were studied. Materials and methods: Three experimental groups of mice daily for 15 days, with concentrations of iron oxide nanoparticles ?g/kg20, ?g/kg50 and ?g/kg150 was dissolved in one ml of distilled water, by gavage tube. Results: Serum T3 levels in experimental and control groups showed no significant change Serum T4 levels in the experimental group receiving the highest dose showed a significant increase compared to control group. Also Yrmy TSH hormone concentration in the groups receiving the medium and maximum doses significantly lower than the control group shows. Conclusion: Experimental results show that iron oxide nanoparticles at high concentrations inhibits the Ndkryny pituitary axis - the hypothalamus And thyroid gland can cause malfunctions Appear to be iron oxide nanoparticles at high concentrations is toxic effect on thyroid function.

The innovation of generic technology for the development of the manufacturing sector has an important basic role, and for the generic technology research and development, there is lack of effective attention. Especially in manufacturing industry, the development of generic technology still can't meet the national economy and the needs of the development of manufacturing industry. Especially compared with foreign countries generic technology innovation development and application there is a considerable gap. On the basis of introducing the classification and features of manufacturing generic technology, this paper analyzes the influence factors and main body of generic technology innovation in the manufacturing industry. Finally, it derived the process model of manufacturing generic technology innovation from the process model of manufacturing technology innovation

An efficient one-pot protocol to generate 4-arylmethyleneisoxazol-5-one derivatives from ethyl acetoacetate, hydroxylamine hydrochloride, and various aromatic aldehydes using sodium azide catalyst in water as environmentally benign solvent has been developed.

The stock market is one of the important financial sectors of the economy that affect it by various forms. Form the view of many experts, the importance of financial sector development emanates from the point that, an efficient financial sector has a key role in mobilizing financial resources for investment, encouraging the entry of foreign investment and optimizing resource allocation mechanism. This study investigates the relationship between inflation and stock market development in Iran during the spring of 1999 up to in late summer of 2008. According to characteristics of the Iranian economy, the used model was based on Boyd, Levine and Smith (2001) models. We first used a linear model to control other economic factors that may have correlations with the performance of financial market. Then the threshold regression has been used to show the nonlinear relationship between inflation and financial market development. In this model, different thresholds have been considered for inflation. With attention to considered variables, the conditional least squares method (CLS) was used to estimate the model, which, by minimizing squares of errors, is a good criterion for selecting the optimal inflationary threshold. The results showed that, in the studied period, first, there is a positive relationship between inflation and indicators of stock market development and second, there is no threshold for effect of inflation on stock market.

The present study empirically investigates the risk and return relationship by loading the macroeconomic information in standard CAPM in addition to market information. One hundred financial and non financial companies listed on Karachi Stock Exchange are investigated over a period of January 2005 to August 2011. Monthly data is used for the company asset prices, market portfolio and macroeconomic variables in this study. The macroeconomic variables are used as additional risk forces in the model. The study makes use of CAPM with unconditional and conditional specification for the prediction of future asset prices. The time varying conditional information and lagged macroeconomic variables are added in the model. The GARCH (1, 1) – M technique is applied to capture the conditional volatility clustering of asset returns. The findings of the current study reveals that conditional multifactor CAPM have better results than unconditional multifactor CAPM model. The residuals and conditional variances have significantly positive impact and are helpful in explaining time varying behaviour of asset returns. The macroeconomic variables such as oil prices, foreign exchange rate, foreign exchange reserves, inflation rate, interest rate, and money supply play significant role while industrial production index, unemployment rate, and market returns have inconclusive role in this study. The study concludes that macroeconomic risk factors play a prominent role in explaining stock returns.

No matter how much we diversify our investments, it's impossible to get rid of all the risk. As investors, we deserve a rate of return that compensates us for taking on risk. The capital asset pricing model (CAPM) helps us to calculate investment risk and what return on investment we should expect. Here we look at the formula behind the model, the evidence for and against the accuracy of CAPM, and what CAPM means to the average investor.

Dye stuff industries produces a bulk quantity of waste which is disposed off into lakes and streams without any prior treatment  and which has a significant negative impact on human being and aquatic habitat . Researchers were employing various treatment methodologies for the removal of the organic and inorganic waste. Research is going on to develop a low cost adsorbent which could be used for removing different sorts of dyes stuff which is discharged from the industrial effluent outlet. In this study, removal of Alizarin Red S Dye by using Ca(OH)₂ treated fly ash powder as an  adsorbent. Operating parameters employed in this study such as adsorbent dosage, pH, and agitation speed. Langmuir Isotherm fits well with the experimental data and Pseudo-Second Order Kinetics is obeyed in this study.

Pandey (1977) considered the exponential distribution which is generally used in life testing experiment. Epstein & Sobel (1953) and Bhattacharya & Srivastava (1974) considered the censoring procedure in life testing problem. Pandey and Malik (1994) considered the improved estimator for ?2 in exponential distribution. In this paper proposed an estimator for ?2 in case of exponential distribution and studied its properties under Linex loss function.

A person’s learning of a new language starts with learning alphabets of the language. The validation of a learning process is its recognition under any circumstances. The application developed in this paper, is aimed at making the “recognition process of alphabets” after different distortions on the original structure and frame of the alphabet. The system creates the distorted alphabet with graphical transformations and recognition is done by a back propagation neural network. The graphical transformations include scaling, rotation and translation functions written in Open GL. The distorted character is recognized by the neural network coded in C#. The system can be deployed for any distorted image recognition application. The system has shown satisfactory performance for distorted character recognition.