American New Sanction Against Iran: Challenges for Economic Growth
The article is dedicated to investigation of two basic problems: (i) would bring the U.S. sanctions imposed on Iran to minimizing and even to cancelling the oil exports from this country? (ii) what impact would have those sanctions on the country’s economic growth? For the survey we have used two methods. Primo, we have explored oil export structure from Iran and have studied oil import organization of the major commercial counterpart states trying to clarify if they would be able to substitute oil imports from Iran by alternative sources. And, secundo, we have drawn a statistical model, which links Iranian GDP with oil exports. Such a model was necessary for investigating probable undulations in the Iran GDP due to changing volume of exporting oil. Investigation results are important and may have huge geopolitical corollaries as follows: (i) In medium-term run President Trump’s administration measures to cause serious economic obstacles for economic development of Iran will be unsuccessful. (ii) USA has no means and geopolitical instruments to bring oil exports from Iran to zero. (iii) Hence, even if it is done, these measures will cause difficult but not dramatic consequences for economic life of this Islamic country, which would create complications for development of civil society in Iran. Moreover, the desire of President Rouhani to modernize the Iranian society will fail, and Islamic Revolutionary Guard Corps, weakened under the Rouhani’s presidency, will regain momentum. (iv) Thus, President Trump’s measures will cause just the back effect than the target he wanted to reach, and (v) The sole possibility to provoke democratic movements within the Iranian society is to imply the country into international energy projects, in which Rule of Law is governing partnership relations.
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An analysis of social cohesion through interaction: a preliminary study in penang, Malaysia
This article discusses about the preliminary study of the social cohesion level among ethnics in Penang. The purpose of this study is to explore the extent of social cohesion that exists among the Malays, Chinese and Indians, through their daily interactions. A total of 90 respondents were surveyed in this study. The study found that the level of social cohesion between these three ethnic groups; Malays, Chinese and Indians are less satisfactory. The Chinese respondents have full daily interaction (100 percent) with other Malays but only 83 percent of Indian respondents and 60 percent of Malay respondents have daily interaction with other Chinese. However, for the location of the interaction, all three ethnic groups studied recorded the highest number of daily interactions in their workplace. More than 30 percent of respondents found among the Indians and Chinese had never interacted with other ethnic groups in school. Overall, the findings showed an alarming level of social cohesion because more than 20 percent of Indians have bad relationship with other Chinese and Malays and 49 percent of the Chinese have very bad relationship with other Indians and Malays.
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An efficient accident notification system in VANETs using ILCRP
An accident notification system for a vehicle includes a degree of damage predicting system that detects whether the vehicle occupant has been injured in an accident. It consists of position monitoring system that monitors the position of the vehicle. If any accident occurs, the mobile communication terminal receives the signal and it informs to the nearest hospital about the accident, so that the occupant can be rescued soon and gets treatment. This project can be used in the areas where there is no one to help the injured occupant when they are met with an accident. It also makes note of the databases of the persons in and around the accidental area. This will be helpful for the police in further investigations.
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Application of simulation of queue network for reengineering of business processes (case study: process of remittance and withdrawal from bank current account (ordinary and golden)
Systems simulation is growth rapidly as one of the most useful management tools today. This article tries to model and finally improve process of remittance and withdrawal from current account (ordinary and golden) of bank with use of discrete simulation methodology. For this purpose, the said process is identified and then a logical model is simulated with use of ED model (Enterprise Dynamic) for identification of the said model process and data relating to each entity is obtained with use of chronometry and then sample volume has been calculated. For validation and confirmation of the model, a comparison between results of simulation and real measurement has been made by statistical tests. In the next stage, two criteria which include output of the customers and average waiting time of the customers are selected and some suggestions were presented for improvement of remittance and withdrawal processes with regard to the obtained results.
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Applying mining techniques to predict traffic condition in roadway network
Vehicle traffic is experienced everyday by millions of people in day-to-day life. To overcome the problems there emerged a need for an effective traffic prediction system. An efficient prediction method reduces the traffic congestion and allows us for optimal usage of resources. In this paper we propose a traffic prediction system that uses a series of clustering and prediction techniques on the data set and has been used to predict the traffic flow over a road point. This is performed by finding the similarity value, we can quantify the influence of that Road points over others and this method will provide you a prior knowledge about traffic congestion so that user can plan to avoid vehicle traffic.
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Canceling donor interference in heart transplantation using adaptive signal processing techniques
Heart Attack and other cardiac diseases have shooted up the death rate in the world in recent years. So they have to be given more importance. Though the Heart transplantation techniques has originated in 1960’s it gained popularity only in 1980’s, after the invention of Anti Rejection Medicine. Now the advancement is such that, the patient’s old heart ECG can alone be monitored by suppressing the interference arising from the new heart, which ease the job of the surgeon, which can be achieved using Adaptive Noise Cancellation Technique. The algorithms such as LMS and RLS were implemented using MATLAB 6.5 and simulated and synthesized using Modelsim and Leonardo spectrum VLSI tools. In future the design will be fused into a chip and dedicated to mankind.
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Characterization of artificially dyed aged stained cotton carpets to simulate the archeological model samples
In order to success in removing stains from historical dyed samples, it is necessary to understand the nature and type of these stains. This research work aimed to study in detail the different changes occurring on mimic cotton carpet samples dyed with natural yellow dye turmeric and subjecting to different stains (blood, mud and wax). All the stained samples were subjected to light ageing followed by cleaning with different detergents according to the nature of the stain. The examined samples were characterized and evaluated using FTIR-ATR analysis to examine the change in the chemical structure after each treatment process and studying the effect of such processes on the crystallinity/amorphousity of the samples. Also, the color measurement in the CIELAB system was used to quantify the change in samples' colors through the different treatments. The obtained results indicated that: there was an obvious change in the transmission peak intensities of the different functional groups after each treatment, a variation in both the crystalline index (C.I) and % crystallinity of the examined samples and the cleaning process greatly depends on both the type of stain and the cleaning material.
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Characterization study of solid waste in university of Port Harcourt, Rivers State, Nigeria
This study was undertaken to assess the characteristics of solid waste generated in the three campuses of the university viz Abuja, Delta and Choba campus. Open dumpsites were identified in each campus and a representative sample of solid waste (5kg) was obtained. The results showed that food waste contributed the highest percentage composition of 35.9% in Choba followed by Abuja (25.49%) and Delta Park (17.39%). Paper had the highest percentage composition of 26.45% in Delta Park, followed by Abuja Park (23.14%) and Choba (10.71%). Wood had the least composition of 1.96% in Abuja Park but absent in Delta and Choba Park. The results further showed that food waste had the highest composition of M.S.W generated in Choba (Weight kg) 3.55, followed by Abuja Park (2.6) and Delta Park (2.1) while wood had the least weight generated of 0.20 in Abuja Park and absent in Delta and Choba Park. The data analysis revealed that there was no significant difference in the composition of waste in the different campuses at p<0.05. It is believed that given the characteristics of these waste streams, an integrated solid waste management system in the University will enhance the adequate utilization of the various categories of solid waste in the areas of resources, recovery and waste-to-energy.
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Chemical analysis of bryophyllum pinnatum (never die) leaves
Chemical analysis of the leaf of Bryophyllym pinnanun was carried out. The moisture content and the ash content were found to be 83.91% ± 0.21 and 13.30% ± 0.41. The leave of the plant was found to contain Na, Ca, K, Mn, Mg, Fe, Cu, Cr and Zn. The level of these mineral in mg/ l00g sample were found to be 0.13% ±0.3, 599.97%, ± 24.54; 5.51% ± 0.08; 4.71% ±0.27; 247.11% ± 33.11; 6.62% ± 1.72; 82.96% ± 6.96: 60.%% ± 8.01 and 0.10% ± 0.01 respectively. The elemental analysis using sodium fusion test shows that the leave contain nitrogen, chlorine, and bromine. The present of these mineral elements in the plant could be part of the contributing factors which suggest the use of the plant for various therapeutic applications.
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Cloning and Expression of Banana Bunchy Top Virus (BBTV) Coat Protein Gene in E. coli
Banana bunchy top virus (BBTV) is a destructive pathogen in banana cultivating areas worldwide. As the virus is located in the phloem tissue and its purification is difficult and gives low yield. Therefore, in the present study BBTV coat protein was bacterially cloned and expressed using recombinant DNA approach. The BBTV infected banana leaf samples were collected around Uttar Kannada district of Karnataka. Further, the total nucleic acid was extracted using dellaporta method. A 531bp PCR product containing coat protein coding region of BBTV was amplified using BBTVCPF and BBTVCPR primers and the amplified product was cloned into the pTZ57R/T and further sub-cloned in to the pQE30. After transformation in to JM 109 and M15 cells the clones were confirmed through PCR and sequencing. Amplification with expected size of 531bp and 100% homology with other isolates showed integrity of the clone. Further, the coat protein appeared to be expressed at 3hr after induction with 1mM IPTG. The expressed protein was analyzed through sodium-dodecyl sulphate-Poly acrylamide gel electrophoresis (SDS-PAGE). A band of 21kDa on the gel confirmed that coat protein was really fused to the His-tag. Further, 10mg/liter of the coat protein were purified using His-tag purification kit (Genei).
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