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2015 SUZUKI GSX-R1000 For more than a decade, the GSX-R1000 was the most successful name in 1,000cc production-based road racing around the globe, earning it the title of The Top Performer. The 2015 Suzuki GSX-R1000 is ready to prove itself to be a legendary motorcycle with amazing throttle response, power, and acceleration at mid-range engine speeds – all with great fuel economy. Engineering your dream bike to go fast is not the only priority at Suzuki. Bred from the same DNA as our MotoGP machines, the GSX-R1000 draws heavily on Suzuki’s racing expertise.
2015 SUZUKI BOULEVARD M109R B.O.S.S. Go ahead and admit it, you want to be the owner of the most stylish bike on the block. Lucky for you, the Suzuki Boulevard M109R B.O.S.S. grabs attention everywhere it goes. An incomparable black color scheme coupled with aggressive styling scream in testament to the M109R’s power. If looks aren’t enough to sell you on this bike, then let the 1783cc V-Twin engine convince you. Tuned to produce massive torque from idle to red-line, the 2015 Suzuki Boulevard M109R B.O.S.S. will keep you smiling and styling through your journeys to come.
Flat or dead battery is a problem that all the car owners face in their life and for few people this problem can be even frequent. For those people jump starter power pack is one of the ......http://www.newnow.com/
Report Highlights How Leading Organizations Are Generating Greater Quality and Quantity of Leads, Validating the Utilization of Marketing Automation Platform Technology
Iron Oxide Pigments market research report covering industry trends, market share, market growth analysis and projection by MIcroMarketMonitor.com. Iron oxide pigments are extracted from its natural occurring ore hematite/magnetite. These are mostly used in coating, concrete, ceramics, inks, and plastics. The Global Iron oxide Pigments market was valued at $1,656.88 million in 2012 and is expected to reach $2,185.70 million in 2018
The major purpose of this study is to find out the extent to which previous knowledge of Book-keeping will predict students’ academic performance in Principles of Accounts 1 (BED 111) at the NCE 100 level in College of Education, Ikere Ekiti, Ekiti State, Nigeria. The study employed an ex-post facto research design with a sample of 371 selected from a population of 708. Three research hypotheses were tested at 0.05 level of significant using T-test, Standard deviation, Multiple regression and Analysis of variance. A finding from the study reveals that previous knowledge of Book-keeping significantly contributes to the prediction of academic performance of students in Principles of Accounts 1 (BED 111) among others. It was concluded that the influence of previous knowledge in teaching/learning process provides the background to framework upon which new learning will be placed. It is recommended that Joint Admission Matriculation Board (JAMB) should properly streamline
It is an undisputable fact that no education style can rise above the quality of its teachers. Teacher education advancement will determine the position of the country in the comity of nations. Hence, the nation’s development can only be enhanced by the quality of education given to her citizens. This paper therefore, discusses the meaning of teacher education, historical development of teacher education in Nigeria, present position of teacher education, relevance of teacher education, aims of teacher education, problems militating against teacher education in the country and various strategies taken by the government to promote the growth and development of teacher education in Nigeria examined
The Students’ Variables as Predictor of Secondary School Students’ Performance in Physics in Ekiti West Local Government Area of Ekiti State, Nigeria was investigated in this study. The study adopted a survey research design of the ex-post facto type. The sample comprised 120 senior secondary school II Physics students drawn from the six secondary schools in Ekiti West Local Government Area of Ekiti state. The instruments used for the study was questionnaire and past academic performance in Physics of the students involved in the study. Two research hypotheses were generated and analysed in the study using Pearson’s Moment Correlation and Multiple regression statistical analysis. Among others, the study revealed that: students‘ variables (study habit, attitude to and interest of students in Physics) are better predictors of students’ performance in Physics, while student gender has no influence on students academic performance (is a poor predictor).
In Communication system, the system capacity and performance are adversely affected and degraded by interference. Hence, power control plays a prominent role in an interference-limited system, which increases the efficiency by mitigating the adjacent and co-Channel interference in the system. In this paper, primarily power control is said to be used in maintaining the acceptable Carrier to Interference Ratio (CIR) by meeting some Quality of service (QoS) requirements Objective function that is defined as maximum channel capacity in a power constraint scenario. The signals in a radio channel undergo different propagation effects like reflection, refraction, scattering and shadowing. Hence, the distribution of users across subcarrier groups as well as their transmission powers within a given cell has a significant effect on how users and power are accordingly distributed elsewhere in the network to maximize the capacity of the system thereby enhancing its performance
Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.