Archives-November 2015

In this paper we work on Frechet distribution with Bayesian paradigm. Posterior distribution is obtained by using Uniform, Jeffreys and generalization of non-informative priors. We use the quadrature numerical integration to solve the posterior distribution. Bayes estimator and their risk have been obtaining four loss functions. The performances of Bayes estimators are compared by using Monte Carlo simulation study.

The purpose of this study is to examine the information literacy of rural farmers. Today’s Information is vital requirement of every field of human life such as agriculture. Agriculture is the backbone of Indian Economy, now a day’s total economic depends upon the agriculture. This is mainstay the rural villages of Bargarh District. The rice pot of odisha is called Bargarh District and 73% of peoples depend upon agriculture. Information is the vital for changing era. Information Technology is taking new outline day by day. Information literacy of rural farmers make capable to recognize when information is needed and how to be located, evaluated and use effectively. Besides the present study conducts and analysis a questionnaire-based survey 853 agricultural farmers in seven Blocks of Bargarh District. Due to this some farmers are not satisfied in the cultivation. This paper concluded the growth Information literacy in modern era of this district

Indus-1 is a 450 MeV, synchrotron radiation source in India. Visible light from wide synchrotron radiation spectrum is focused by visible diagnostic beamline for the study of electron beam parameters. The longitudinal profile of electrons is captured (images) and measured by the indigenously developed streak camera system. Image processing software is developed for measurement of bunch length and bunch centroid position of electron beam (visible part). In this paper the algorithm for development of image processing software is discussed and results obtained after measurement under different light condition and with changing background during the natural decay of beam current are discussed.

Type 2 diabetes mellitus (T2DM) is multifactorial diseases caused by complex between genetic, lifestyle and environment risk factor; T2DM has also been recognized as an immune mediated disease leading to impaired insulin signaling and selective destruction of insulin producing beta cells in which cytokines play an important role. This study aimed to investigate the association of IL-6 gene polymorphism (-174G>C) with type 2 diabetes mellitus incidence in Iraqi population. Peripheral blood samples were collected from 50 diabetic patients and 50 apparently healthy individuals from both genders. DNA was extracted and Polymerase Chain Reaction - Restriction Fragment Length Polymorphism (PCR-RFLP) was carried out to detect polymorphism at the -174 position of IL-6 gene and determined the genotype for Iraqi population. The results revealed that the GG genotype in diabetic was significantly (p?0.05) lower than control group (64% versus 74%, respectively) while the GC genotype in diabetic was significantly (p?0.05) higher than control group (32% versus 22%, respectively), and there was no significant difference between diabetic and control group in the CC genotype with a non significant differences in either G or C allelic frequencies between diabetic patients and control group. The results of the present study indicate that heterozygous GC genotype was associated with the incidence of T2DM.

The present study attempted to explore empirical evidence to see if there is an association between test anxiety, multiple intelligence (MI) and EFL learners’ writing test performance. To this end, a Multiple Intelligence Checklist, a Test Anxiety Scale, and one IELTS writing task were given to 40 upper intermediate participants from three classes of two language institutes. The results revealed that test anxiety and learners’ writing performance had a negative but not statistically strong correlation. Further, there was a significant correlation (sig= 0.039 < 0.05) between linguistic intelligence and writing test performance. Accordingly, language teachers should regard test fairness by helping learners who have low linguistic intelligence.

Land suitability is the fitness of a given type of land for a defined use. The process of land suitability classification is the appraisal and grouping of specific areas of land in terms of their suitability for defined uses. The development and creation of appropriate points for this land use without considering environmental capability will result in the appearance of several ecological, economic, and social problems This research was conducted to investigate land suitability classification for better use of lands using geographic information system in Mohsenab region, Ilam province, Iran. Soil units were delineated bases on aerial photo interpretation, using topographic maps as auxiliary materials. Land suitability classification was done based on information extracted from soil map, using guidelines given in FAO. The land suitability as ability of land ability for forests, rangeland, dry and irrigated cultivation was determined. Finally, the appropriateness of land units components were prioritized in the current situation and the future for different applications. The results showed that some restrictions including low and irregular rainfall, the lack of surface water suitable, shallow soil, imbalance of nutrients such as phosphorus and organic matter heterogeneous are the main problems in the study

Incorrect classification of risks or Policyholders can lead to the wrong choice for insurer, and in individual accident insurance, analyzing risk and determining premiums are based on the individual jobs in a job class. Therefore, the risk of the false classification of risks and Policyholders can lead to significant financial losses for insurance companies or policyholders. So in order to recognize and optimize the classification of job`s risk and thus determine a reasonable price for the policy insurance, the frequency and severity of losses can be considered as determining variables. In this study the collected data from Dana Insurance Company database, were entered in the SOM neural network in the form of three variables to assess the occupational risk. After reaching the overview of clustering resulted from SOM, and determining the optimal number of clusters based on Silhouette index, the separation of final clusters using different algorithms, K-Means and TwoStep, was done. Finally, the precise rules found for describing the outputs of the algorithms based on C5.0 algorithm with accuracy of 100%. Due to the overlapping clusters, there was no possibility of allocating jobs to different occupational classes. There is also another notable result and that is the significant negative correlation between the two factors, the current risk level and the damage ratio (the ratio of claims paid to premiums received)

The present study discusses the growth performance of major agricultural crops in Maharashtra state, India. Important variables like area, production and yield were compiled for the period 1992-93 to 2011-12 from various published sources. There is a marked shift from the cultivation of food grains to commercial crops. Among food grains, the yield under coarse wheat declined 1.34 per cent between 1992-93 to 2011-12. Similarly, the performance of cotton, soybean, maize and gram in terms of area, production and yield was impressive during the study period. The use of modern varieties, irrigation and fertilizers were important factors that ensured higher growth in crop production. The results of crop growth indicate that the enhanced capital formation, better irrigation facilities, normal rainfall and improved fertilizer consumption helped to improve crop output in the state.

The depth resolution function (DRF) of Secondary Ion Mass Spectrometry (SIMS) analysis has been measured by analyzing delta layers of boron in silicon in different experimental condition using Cameca Ims-6f apparatus. This function has been fitted with an analytical expression initially proposed by Dowsett et al. This is described by three parameters: the rising exponential decay, the standard deviation and the decreasing exponential decay. Physical phenomena related to these fitting parameters are well detailed, in particular, falling exponential decay characterizes the residual mixing effect. The latter is considered the main mechanism responsible for the degradation of the depth resolution in the range of the primary ions energy used in this work. It is shown that when the experimental conditions change, the parameters that govern the analytical expression vary in a satisfactory way. Our depth resolutions are compared with those of the literature. It is shown that our results are in good agreement with those of other authors.

The purpose of this study was to investigate the practice of teachers’ Continuous Professional Development (CPD) programme in Dire-Dawa Administrative Region, Ethiopia. The specific objectives of the research were to explore the status of schools’ CPD implementation as per the national framework, identify the success areas of the schools in implementing the CPD, identify the gaps of schools in implementing the CPD, explore the challenges the schools face in implementing CPD and to suggest some possible solutions/strategies for effective implementation of the programme. The study design used was descriptive survey. A total of 20 schools (18 primary and 2secondary) and 213 teachers (144 urban and 99 rural) were taken as participants of the study using questionnaire. For observation three schools which are serving as cluster resource centers were used. Regional education bureau CPD focal person was used as interviewees. The data were analyzed using number, percentage, and mean for quantitative ones and narration for qualitative ones. The data witness that many efforts have been made by the different stakeholders of teachers’ CPD such as Ministry of Education, Regional Education Bureaus, School principals and teachers themselves. On the other hand, the efforts made were not consistent, specific CPD budget was not there. Cluster Resource Centers were not functional, CPD practices were tried in both primary and secondary schools but the practice by the secondary school teachers is very minimal, principals and supervisors were not practicing their own CPD. The major challenges or gaps identified include low commitment of teachers to perform CPD activities, lack of commitment of mentors to support teachers, failure of Cluster Resource Centers to function, lack of commitment of supervisors and principals to do their CPD and become models for their teachers, lack of ownership of CPD to follow up regularly and assess its status. finally, to implement teachers’ CPD as per Ministry of Education (MoE) guideline, there should be ownership at the different level of the Education system, the Regional Education Bureaus should organize the Cluster Resource Centers and make them functional and should have regular communication and support for the schools, supervisors and principals shall be models to their teachers in doing their own CPD were recommended.