The Relationship between Emotional Intelligence and English Reading Proficiency of Iranian Students
This study was an attempt to find out to see any possible relationship between emotional intelligence and reading proficiency within English language students. This study aimed to determine whether emotional intelligence and English reading proficiency are correlated . In this work participants were 110 fresh men English language students, studying in Azad University , Tehran- North Branch , both male and female , who selected randomly . Regression and correlation analyses were used and results indicated that there is a significant positive correlation between the emotional intelligence and English reading proficiency, and also there was a significant relationship between emotional intelligence sub- factors and English reading proficiency with no relationship between gender and two variables. key words: Reading, emotional intelligence.
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Corporate Social Responsibility (CSR) : Activities of Social Responsibility at King Faisal University (KFU) in Saudi Arabia
Corporate Social Responsibility (CSR) has recently become a significant factor, which plays a significant role in industrial companies as well as governmental ones. CSR has taken an added value to these corporations even that non-profit corporations. CSR among universities is Saudi Arabia is still at the beginning except two universities as this mentioned in literature review. Results explained that CSR at King Fiasal University (KFU) is still not obvious even though its vision with special department issued. This paper ends with a conclusion and a set of recommendations.
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Impact of intercropping on sucking pests and their natural enemies in Bt cotton
A field experiment was conducted during Kharif, 2013-14 at Main Agricultural Research Station to study the impact of intercropping on sucking pests and their natural enemies in Bt cotton. The results showed that the sucking pests were significantly lower on cotton under intercropping system than sole crop. Among the different intercrops, cotton intercropped with cowpea (1:2) was the best intercropping system which recorded less incidence of leafhopper (2.75/3 leaves), thrips (4.66/leaves) and whitefly (1.03/3 leaves) with more number of natural enemies followed by the cotton intercropped with coriander (1:2) and greengram (1:2). However, cotton + beans was significantly superior in recording the highest total yield (20.46 q/ha) followed by cotton + okra (16.86 q/ha) and cotton + cowpea (16.42 q/ha).
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Impact of Quality of Work Life (QWL) on employee retention in Indian information technology sector
Quality of work focuses on the quality of relationship between employees and the total working environment. The fundamental rationale is to develop work environment that are splendid for people as well for the economic health of the organization. Quality at work trims down attrition intentions of the prospective employees and then helps out in reducing absenteeism and improving job satisfaction. Hence organizations today do customary in providing quality at work in order to keep hold of the talented workforce thereby enhancing their competitiveness. However in the current scenario the Indian IT sector is experiencing considerably high-level of staff attrition contrast to other sectors. Therefore this research was conducted among the software professionals to know their perception towards the quality of work life provided to them in their society.
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Qanat, traditional irrigation infrastructure system in Iran
Groundwater management, particularly in arid regions, should be viewed holistically and linked to the sustainable management of the ecosystem. Only through consideration of the interaction between the groundwater and other environmental components can it be possible to elaborate a long-term program for rational groundwater use and protection. Ancient methods of groundwater management, such as the qanats system, provide an excellent demonstration of human ingenuity to cope with water scarcity. To make a qanat, one needs a source of water, which may be a real well, but can also be an underground reservoir (e.g., a cave with a lake) or a water-bearing geological layer, which can be recognized as a damp area in an otherwise arid region. When one has identified this source, a tunnel is cut to the farm or village that needs the water. Shafts are added for three reasons: as air supply, to remove sand and dirt, and to prevent the tunnels from becoming dangerously long. The shafts are not very far apart, and as a result, a qanat seen from the air gives the impression of a long, straight line of holes in the ground - as if the land has been subjected to a bombing run. Typically, the qanat becomes a ditch near its destination; in other words, the water is brought to the surface by leading it out of the slope. In fact, one creates an artificial artesian well and an oasis. There are about 22000 qanats in Iran with 274000 kilometers of underground conduits all built by manual labor. The amount of water of the usable qanats of Iran produce is altogether 750 to 1000 cubic meter per second. Qanats have been an ancient, sustainable system facilitating the harvesting of water for centuries in Iran, and more than 35 additional countries of the world such as India, Arabia, Egypt, North Africa, Spain and even to New world.
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PRNG Implementation Based on Chaotic Neural Network (CNN)
AbstractIn this work, a neural network with chaos activation function has been applied as a pseudo-random number generator (PRNG). Chaotic neural network (CNN) is used because of its noise like behaviour which is important for cryptanalyst to know about the hidden information as it is hard to predict. A suitable adaptive architecture was adopted to generate a binary number and the result was tested for randomness using National Institute of Standard Technology (NIST) randomness tests. Although the applications of CNN in cryptography have less effective than traditional implementations, this is because these systems need large numbers of digital logic or even a computer system. This work will focus on applications that can use the proposed system in an efficient way that minimize the system complexity.
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The Impact of Stock Market Development on Gross Domestic Product
The aim of the study is to show the relationship between the stock market developments with gross domestic product (GDP). Framework is used to show the impact of stock market on GDP over the period of 2000 to 2011 quarterly. The methods applied in the research were correlation, regression and Augmented Dicky Fuller unit root test. The arguments are made on whether it is the stock market that leads to the economic growth or the other way around. Stock market plays a very significant role as a financial intermediary. Some researchers are in favor of the argument that stock market doesn’t lead to the economic growth and conclude that emerging stock markets have little positive impact on economic growth. Some analysts argue that, because most of the corporations don’t raise capital by issuance of equity only, so the role of stock market is weak in causing economic growth, (Mayer, 1988). In contrast, Levine (1991) show that stock markets provide liquidity and can cause economic growth substantially. And now the result of research explained that there is no significant impact or stock market development on gross domestic product. The Augmented Dicky Fuller unit root test explained that 1) D (logn_index_points) represents the 1st difference and the p value is less than 0.01 so we reject the null hypothesis and conclude that the data of index points is stationary at 1st difference. 2) D (LOGN_REAL_GDP) represents the 2nd difference of GDP of Pakistan and the p value is less than 0.01, so we reject the null hypothesis and conclude that the data of GDP is stationary at 2nd difference. The regression result shown that D2 LOGN_REAL_GDP represents the 2nd difference of quarterly GDP of Pakistan and DLOGN_INDEX_POINTS represents the 1st difference of KSE-100 index which has been used as a proxy for stock market development for the purpose of this study. The P value against the t-statistic is insignificant, so we have to accept the null hypothesis.
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A empirical study on interpersonal behavior skills & its effect on organization - HR Consulting Firm
Humans are highly social in their behavior. They interact with members of their species in a wide variety of ways, ranging from just being together to most intimate forms of socializing. People seek company to avoid being alone, to confabulate, to ask for as well as to offer help, to accomplish common goals, to share joys and sorrows, to listen and to be listened to, to show or to be shown the way, to show off, compete or fight with one another, etc. These interactions are referred to as interpersonal (between persons) behavior. Interpersonal behavior, despite its most popular connotation of face-to-face interactions, is not confined to situations in which the interacting humans are physically present. One person's behavior towards another can occur in the physical absence of the other and yet be truly interpersonal: writing a letter of invitation, for example! Thus, while interpersonal behavior necessarily involves two or more persons, the presence of the interactants may be physical or psychological.
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Impact of acidification on plasma cholesterol and glucose level of fresh water fish cyprinus carpio
Specimens of fish Cyprinus carpio were exposed to pH 5.0, pH4.5 and pH4.0 for a period of 28 days. In pH 5.0 and pH4.5 the fish survived for 30 days. While in pH 4.0 the fish survived only for 16 days. During the above treatment biochemical parameter such as plasma cholesterol and Plasma glucose level was observed an interval of 7 days of the total exposure period. Acid treated fish exhibits a significant increase in the plasma cholesterol levels and Plasma glucose level. The observed biochemical parameter may be used as non-specific biomarker in the field of toxicology.
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Capital Structure Impact on Profitability A Case Study of Chemical Sector Pakistan
The research work is conducted on the firms in the chemical sector of Pakistan. This is a capital intensive industry and an important sector of the economy. The data has been collected from 2009-13 and includes cross sectional regression analysis. The dependent variables are accounting based return on equity and returns on assets while independent are the debt ratio and total debt to total equity ratio. The results indicate that the capital structure holds a significant positive relationship with return on asset and return on equity. The firms in this sector have a high debt to equity and debt to asset ratio and the results are against the pecking order theory that states that firms prefer to generate funds from internal sources and have a least preference for debt financing.
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