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This research seeks to examine the nonverbal communication of an influential leader to change mind and behaviour of others, particularly in the field of dakwah. The portrayal of young Imam in the Malaysian reality show “Imam Muda” brings new landscape of muslim socialization process and implies significant values of dakwah. The definition of young Imam and its role as a progressive leader in a modern, multiracial society are described and illustrated in this 10-episode show. The researchers give special attention to nonverbal communication of the winner as this aspect is a determining factor of being a good and influential leader. The contestants may have more or less the same quality in terms of Islamic knowledge, but to gain social influence as an Imam, obviously nonverbal communication talks louder than verbal communication. The silent messages displayed by an individual are more countable and reliable in the eyes of people, as concluded in Mehrabian’s 7%-38%-55% Rule. Five episodes of Imam Muda have been selected and five elements of nonverbal communication have been analysed – kinesics, paralanguage, haptics, appearance and proxemics. A thorough analysis of the top Imam is carried out to see to what extent he uses the nonverbal communication in interpersonal or mass setting that promote him as the most eligible young Imam.

This study was an attempt to evaluate Iranian high school English textbooks in terms of vocabulary, grammatical structures and compatibility between reading comprehension texts and grammar exercises. Readability formula and experts’ judgment were used to ensure that high school textbooks, English American headway and English American file books were at the same level of difficulty .The findings revealed that, there were a significant lack of compatibility between the grammatical structures and reading comprehension passages in each lesson and also between high school textbooks and English American headway and English American file books in terms of the order of presentation and content.

There are many primitive trust systems which have adopted unique approach for communication in Wireless Sensor Networks. These traditional trust systems do not meet the requirements like maintaining resource efficiency and dependability between nodes in Clustered Wireless Sensor Networks. This is because of their high overhead and low dependability. LDTS (Light-weight and dependable trust system) proposes low communication overhead and makes efficient use of energy resources by proposing light-weight algorithm. Also LDTS (Light-weight and Dependable Trust System) proposes dependable trust system that helps improving system efficiency by reducing effect of malicious nodes. As compared to traditional trust systems LDTS (Light-Weight and Dependable Trust System) demands less memory .So it can be said that LDTS is light weight and dependable trust system for communication in clustered wireless sensor networks.

The primary objective of the study is to investigate the existence of seasonality in stock price behavior in Indian stock market and more specifically in the Gas, Oil and Refineries sector. The period of the study is from 1st January 2006 to 31st December 2010. For the purpose analysis, the study has employed daily price series that have been obtained from the official website of National Stock Exchange (NSE). The daily price series of selected eight Gas, Oil and Refineries companies were selected for this study, and used multiple regression technique to examine the significance of the regression coefficient for investigating month of the year effects. It is found that all the eight selected Gas, Oil and Refineries companies evidenced month of the year effect and mostly either on September, August or February. Only GAIL, and HPCL evidenced significant October and July effect.

Advertising moves the wheels of marketing. A country like ours is developing in all fields, and this is because of advertising of new and developed ideas. Evaluation the advertising effectiveness is needed to determine whether the proposed advertisement should be used and if so how it might be improved and whether the going campaign should be modified, continued or stopped. Hence the study has been taken up at micro level to bring out the consumer’s satisfaction towards the Cadbury products advertisements and the factors which determine the same based on the opinion as expressed by the respondents of Coimbatore Town. The present era is known for mass production and mass distribution. Similar products are available in the market. This involves stiff competition amongst the produces. Many finny therefore adopt vigorous means of sales promotion to maintain their existence in the market, as there are many substitutes in the market. This certainly pores a struggle & the produces & their survival and modern business world. The study brings out sufficient information about the effectiveness of advertisement on the Cadbury products. In the cause of ascertaining the effectiveness of advertisement on Cadbury products advertisement beliefs and opinions of consumers were collected which would help to promote the sales of Cadbury products.

The importance of controlling water pollution has increasing in recent years. Dyes are visible in nature, despite it constitutes only a small portion of water pollution to the environment. Color delivery onto the textile fibres in the form of dyes is not an efficient process. As a result, most of the textile industry wastewater is coloured. The treatment to remove this color was not considered until the usage of synthetic dyes. Due to the effects caused by the synthetic dyes to the environment. Government is forcing textile industries to treat their waste effluent to an increasingly high standard before releasing it to the environment due to the recalcitrant nature of modern synthetic dyes. Several strategies have been investigated cost-effective process to remove the colour from wastewater produced by the textile industry. This article reviews the current available technologies and suggests an effective, cheaper alternative for dye removal and decolourisation applicable on large scale.

The current research is about “Assessment of Organizational Learning Status based on INVEST Pattern (Case Study; Branches Management in Bank Keshavarzi of Mazandaran Province)”. The main question of the research is that; how is the organizational learning status of branches management in bank Keshavarzi of Mazandaran province? And based on INVEST pattern constituents the research questions are formed. The study of statistical universe is consists of seventy seven (77) individuals from entire management, experts and personnel of branches management in bank Keshavarsi of Mazandaran province. Using table of Kerjesy & Morgan, 63 samples of this research is obtained. The approach of study is of type descriptive -measurement in which the questionnaire’s tool is used for collecting information which contains judgmental admissibility and since the coefficient of Alpha – Cronbakh obtained as 0.955 also showed that it had the required reliability and has distributed based on simple random sampling among individuals sample. After data collection, the two terms distribution test was used for answering the questions and results indicate that the status of six(6) constituents of learners with motivation, culture of educator, outlook for learning, increased learning, management support and changeable structure of branches management in bank Keshavarzi of Mazandaran province are all at medium to upper level. To respond to the main question of research also resulted that organizational learning status is at medium to upper level. Based on freedman test the priority of constitutes; outlook for future, supportive management, culture of educator and personnel with motivation, supportive & learning structure have been increased respectively.

Recognizing faces is something that people usually do effortlessly and without much conscious thought, yet it has remained a difficult problem in the area of computer vision, where some 20 years of research is just beginning to yield useful technological solutions. As a biometric technology, automated face recognition has a number of desirable properties that are driving research into practical techniques. The problem of face recognition can be stated as ‘identifying an individual from images of the face’ and encompasses a number of variations other than the most familiar Application of mug shot identification. One notable aspect of face recognition is the broad interdisciplinary nature of the interest in it: within computer recognition and pattern recognition; biometrics and security; multimedia processing; psychology and neuroscience. It is a field of research notable for the necessity and the richness of interaction between computer scientists and psychologists. The automatic recognition of human faces spans a variety of different technologies. At a highest level, the technologies are best distinguished by the input medium that is used, whether visible light, infra-red or 3-dimensional data from stereo or other range-finding technologies. Thus far, the field has concentrated on still, visible-light, photographic images, often black and white, though much interest is now beginning to be shown in the recognition of faces in colour video. Each input medium that is used for face recognition brings robustness to certain conditions, e.g. infra-red face imaging is practically invariant to lighting conditions while 3-dimensional data in theory is invariant to head pose. Imaging in the visible light spectrum, however, will remain the preeminent domain for research and application of face recognition because of the vast quantity of legacy data and the ubiquity and cheapness of photographic capture equipment.

In the present study, the objective was to study the synthesis and analyse the zinc oxide nanoparticles from Anisochilus carnosus leaf extract. The study revealed that the plant extract possessed significant phytochemicals. The nanoparticles were synthesized using the leaf extract and analysed using UV, FTIR, SEM and XRD. Different functional groups were found to be present indicating the presence of diverse compounds in the extract. The zinc oxide nanoparticles also possessed potent antibacterial activity against many pathogenic organisms.

This study characterized the alpha-amylase from maize based on the amylolytic activity initiated during the germination of the maize (Zea mays) grain. Alpha amylase was partially characterized from maize and the protein concentration was determined (found to be 4.48mg/ml) using the Biuret method. The enzyme assay; effect of metal, effect of pH, effect of substrate and temperature was determined. The optimum temperature of the enzyme activity was 50oC and the enzyme activity was stable at this temperature till when a sharp decrease was observed at temperature of 55oC. The crude ? – amylase was optimally active at pH 7.0. The apparent km value and Vmax of the enzyme from the Line weaver-Bulk plot during hydrolysis of soluble starch were 0.535mM and 0.451µmol/min/ml respectively. The activities of the ? amylase were stimulated by MgCl2 and CaCl2 but inhibited by HgCl2. Therefore, this invention could proffer an alternative to the complex nature of malt extract, with alpha amylase considered difficult to characterize. The procedure offers characterization in a simple and efficient manner and product obtained is at least 95% pure with little impurities. This study shows that the alpha amylase activity of the maize grain was discovered to be high and this could be an alternative source of the enzyme in beer and wine production, as well as industrial source of the enzyme. Thus, it can be used in various industries to degrade starch and accurate result can be generated.