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Management nowadays is something more than a job or a profession and it became the combination of science, art, skill. Managers in such a complex and dynamic industrial societies of these days, regarding the increasing knowledge in all fields and unreliable conditions of global competitive, cannot succeed just by using managing skills and there is no option but using leadership skills. Management is the art of making others do the job for you, but leadership is the process of influence others in the way that they conduct the work of their own accord and prefer the organization's interest to their own in all areas. A manager needs four skills: understanding, humanity, technical, and specialist. So he can do his duties such as planning, coordinating, organizing, controlling and supervising leadership and guidance, budgeting and industrial innovating. the manager's characteristics are (managing knowledge, art, experience and intrinsic management competency; however a leader must have characteristics such as great intelligence ,self-control ,self-confidence, charm ,speech influence ,high understanding ,emotional stability in addition to above items) and therefore ,when science and technology leaders come to an agreement and experience the deepest human relationship with their employees ,they achieve the most successful outcomes. The fast changes are permanent in the nowadays industrial world and leaders most perform different roles in this changing world so they can be successful in all aspects. Effort for success in the new science, specially nano technology and it`s application in the petroleum industry, definitely needs to such leaders who can lead the employees through the recognition of their potentials and used each of them in its place and to help leaders to achieve results.

Phishing is a criminal mechanism employing both social engineering and technical subterfuge to steal consumers’ personal identity data and financial account credentials. Social engineering schemes use spoofed e-mails purporting to be from legitimate businesses and agencies to lead consumers to counterfeit websites designed to trick recipients into divulging financial data such as usernames and passwords. Technical subterfuge schemes plant crimeware onto PCs to steal credentials directly, often using systems to intercept consumers online account user names and passwords and to corrupt local navigational infrastructures to misdirect consumers to counterfeit websites (or authentic websites through phisher controlled proxies used to monitor and intercept consumers’ keystrokes). Web sites that are frequently spoofed by phishers include PayPal, eBay, MSN, Yahoo, BestBuy etc. Some of the criminals behind phishing scams have even gone so far as to create websites that appear to be operated by government agencies. According to latest phishing reports submitted to APWG of 26,402 in March 2011 was down 35 percent from the all-time high of 40,621 in August, 2009.[1]Though many agencies, personnel’s working for combatting this problem new techniques have been developed to outsmart them. This paper aims to discuss latest phishing techniques, motivation, causes of vulnerability of systems in detail. This analysis aims to help users & organization to avoid being victims and to take primary preventive measures.

The goal of this project is to automatically detect and recognize some objects in an image by using a multi-agents architecture. A knowledge database is thus necessary and should contain an invariant description of known objects for the desired application. An agent processes an area of the image, its goal is to detect an object and check if this object belongs to the knowledge database. Point matching is an important aim in the research work. A digital image may undergo any arbitrary translational, rotational changes because of which the object shape may change. In this paper we present a novel approach for shape and feature matching using putative point matching.

The structural adjustments programmers adopted in a number of countries have brought home the vulnerability of human development variables. The linkages between investments in human development programmes and economic development have become sharper. There have been major international developments-such as the opening of global markets, the increased market orientation of economies and the restructuring in socialist countries-which have given rise to an increased competition, forcing developing countries to produce and market quality products at competitive prices.

Investing in education is imperative in this knowledge based economy to sustain a competitive edge. As we are aware, the higher education level is a significant factor for a long term economic growth. To ensure students’ are well equipped with the foundation for a higher level, a proper transition from primary right up to tertiary is crucial. In retrospect, poor achievement in higher learning institution has been an invariable issue and has drawn the attention of the higher learning institution, especially in numerical subjects like the College Mathematics. Although research of the higher learning institution places emphasis on classroom intervention to enhance students’ achievement, a study in the phenomenon from the perspective of course setting of the high school level mathematics education as reason behind poor performance in college is also vital. The aim of this study was to investigate the influence of students’ performance in high school Mathematics on students’ academic performance in College Mathematics. The respondents of this study were the students from a private college. This study revealed that performance in high school Mathematics has an association with student’s performance in College Mathematics, while gender and medium of study act as moderators.

The prevention climatic changes induced by anthropological greenhouse gas emissions, is one of the of severe major challenges for the current and future generation of mankind hence this study investigates in providing a cheaper and cleaner fuel in burning from post harvesting agricultural wastes. Coal and wood have been the primary fuel used subsequently and produce lot of polluting gases like carbon monoxide, sulphur dioxide, carbon dioxide which has consequences on health. The agriculture waste is bio degradable and decomposes/burns. Since waste can be a source of energy after mixing the waste material of different calorific value, the agriculture waste can be converted into fuel cakes or by modifying charcoal by destructive distillation process by using of effective carbonizer. The results obtained with multifuel (Agri charcoal) further stronger the idea of setting small power plants, dedicated to rural sector of India.

Cloud computing is an efficient data sharing technique where users can directly store and access information through internet. Hence the chances of unauthorized access and security of data is an important issue in cloud computing, hence various techniques are implemented for the security of cloud data. Encryption is a technique of providing a secure access of data over internet, but chances of attack is still possible. Hence an efficient technique is implemented using the concept of multi-keyword based data retrieval in cloud computing with encryption [1]. Although the technique is efficient in terms of communication overhead and security from various attacks but further enhancements can be done in the technique to make it for secure and easy, hence a new and efficient technique is implemented in cloud computing using attribute based encryption and verification, the proposed technique implemented provides security from various attacks and provide less storage and communication overhead.

During this last decade, mesh networks have experienced strong growth due to their ability to provide an additional and complementary support for existing infrastructure communication systems. In such a network, routers are supposed to be fixed for short (e.g. public safety deployment) or long (e.g. network operator extension) period. This relative stability of infrastructure makes proactive routing protocols appropriate. One of the well known proactive routing protocols is OLSR (Optimized Link State Routing), which routing decisions are based on exchanges of topology information using all-to-all flooding of local information in order for each router to build a global knowledge of the topology. This study first goal is to improve the performance of topology information flooding in OLSR by introducing network coding techniques, which leads to a decrease of signaling overhead.

The leaves extract of abutilon indicum leaves herbal preparation that has been suggested as useful in the treatment of varies diseases anti microbial, anti wound killing agents and anti oxidant etc. In this study to determine the gastro protective effect of abutilon indicum leaves in a model of Indomethacin induced ulcer rat. The extract was given by oral gavages (100 and 200mg/kg) three times at 12 h intervals after administering indomethacin 30mg/kg. Treatment with the extract resulted in a significant decreased of the ulcerated area. The results were comparable with the positive control (ranitidine 50mg/kg). Further the results were confirmed using Histopathological studies of the stomach. Thus, we concluded that hydro-alcoholic extract of abutilon indicum leaves possess good preventive and therapeutic action on the gastric ulcers.

Maximising academic learning time has been identified as a critical tool for improving student achievement. The study aimed at assessing factors that influence the utilisation of teaching time allocated to primary schools, how distortions in the allocated time affect teaching curriculum, and measures in place to ensure that instructional time is efficiently utilised in schools within the Sekondi-Takoradi Metropolis. Descriptive research design was adopted for the study. Stratified sampling procedure was used to sample 63 respondents. Questionnaire and observation guide were used as instruments for collecting data. SPSS version 17 and Microsoft Excel 2007 Edition were used to analyse the data. Descriptive statistics, chi square and one sample t-test were used to describe the data.