The scaffold-based tissue engineering of bones is an extremely promising concept with regard to the regeneration of major bone defects due to trauma, tumour or developmental abnormalities as well as for the treatment of pseudo-arthroses. The in vivo testing of implants is a significant phase in the development of specimens for the clinical application of suitable scaffolds. The collection of an optimal amount of information from these initial – clinical - tests demands, ideally, the most diagnostically conclusive studies possible. We tested the procedure of flat panel volumetric computer tomography (fpvCT) thus far virtually untried in the area of bone tissue engineering for the in vivo evaluation of small animal experiments and compared it with other methods (projection radiography, micro-CT, histology).

This study focus on High Energy K X-ray satellites which are a particular category of characteristic X-ray. They are emitted when an atom that has undergone multiple ionization de excites. Simultaneous single ionization in the K-shell and multiple ionization in the L-shell gives rise to Kα X-ray satellites. These can be studied only by high energy resolution instruments like crystal spectrometry. Experimental investigations were carried out in this field by several workers using photon, electron, and ion excitation modes. The theoretical models to predict their energies and intensities were developed. And also this work can show a clear discrepancy between theoretical and experimental results in the case of satellites formation from different shells. In case of experimental instrumentation, WDXRF is the most accurate for determining the energy and intensity of X-ray satellites. The basic source of data was literature done by different scholars.

Cloud computing play an important role in data intensive application since it provide a consistent performance over time and it provide scalability and good fault tolerant mechanism. Hadoop provide a scalable data intensive map reduce architecture. Hadoop map task are executed on large cluster and consumes lot of energy and resources. Executing these tasks requires lot of resource and energy which are expensive so minimizing the cost and resource is critical for a map reduce application. So here in this paper we propose a new novel efficient cloud structure algorithm for data processing or computation on azure cloud. Here we propose an efficient BSP based dynamic scheduling algorithm for iterative MapReduce for data intensive application on Microsoft azure cloud platform. Our framework can be used on different domain application such as data analysis, medical research, dataminining etc… Here we analyze the performance of our system by using a co-located cashing on the worker role and how it is improving the performance of data intensive application over Hadoop map reduce data intrinsic application. The experimental result shows that our proposed framework properly utilizes cloud infrastructure service (management overheads, bandwith bottleneck) and it is high scalable, fault tolerant and efficient.

The boundary value problem is examined for the system of elliptic equations of from in , where is positive semidefinite matrix on , and on . It is assumed that is a bounded function which may vanish at infinity. The proofs are based on Leray-Schauder degree methods.

For development and growth of any society, the provision of basic infrastructure is quite necessary. This perhaps explains why the government shows great concern for a medium through which fund can be made available to achieve their set goals for the society. Government needs money (fund) to be able to execute its social obligations to the public. These social obligations are not limited to the provision of infrastructure and social services. According to Murkur (2001), meeting the needs of the society call, for huge funds which an individual or society could not contribute alone. It becomes the responsibility of the government to source for the funds to enable her provide these basic amenities to the citizen who are the beneficiaries

With the emergence of antibiotic-resistant Staph. sp., search for antimicrobial agents other than antibiotic is of great concern. The study aimed to determine both MIC and MBC of different honey samples against these strains. The study was conducted with 64 different Staph sp. isolated from bovine mastitis and tested in vitro against 11 antimicrobial agents. The most MDR strains (19) were tested in vitro against six honey batches; marjoram, cotton, two fennel samples and two different trefoil samples as well as against 10% propolis-fennel honey mixture. Both MIC & MBC of the tested honey samples against every tested strain were determined. Propolis-fennel honey mixture showed the lowest both MIC & MBC values against all Staph sp. all over the study with highly significant differences, while against different Staph sp., also it had the lowest MIC and MBC values against S. intermedius followed by S. aureus.

Job shop scheduling is an Np-Hard combinatory in the field of scheduling problem. Due to this reason, Dejena Aviation Industry (DAVI) has faced a problem to determine the optimum sequences of jobs on machines that can optimize the makespan. The purpose of this study is therefore, to minimize the makespan of the job shop production system of DAVI production system using shifting bottleneck algorithm. Secondary data was collected from the production log book five machines were considered during the production of five jobs. The findings of the shifting bottleneck algorithms showed that an 8.33% reduction in the total makespan of the company job shop production system. Moreover; machine one (41%) and three (36%) are found to be least utilized machines whereas machine three (64%) and five (59%) are relatively the busiest machines.

Two diagnostic methods, a modified Kinyoun’s acid-fast staining technique and an enzyme-linked immunosorbent assay (ELISA), for the detection of Cryptosporidium spp. in porcine faeces were compared regarding their sensitivities. Of the 209 faecal samples examined, Cryptosporidium spp. was detected significantly higher (p<0.05) by ELISA (31.1%) than the acidfast staining method (16.3%). The sensitivities of the ELISA and acid-fast staining techniques were 100.0% and 52.3% respectively. The ELISA is therefore a preferable method than microscopy for detection of Cryptosporidium spp.

What has been seen from the experiences of African countries is that a leadership style based on command and control is no longer suited for making a capable state, characterized by constitutionalism. This will require high-level skills combined with strong commitment and determination on the part of African leaders at large. Beyond the coming into power with a limited experience, African leaders are too stubborn and are attacked by rigidity and no room for dynamism in their character. This situation contributes its part to the today’s insecure governance structure in the continent. If African leaders and the government they lead are dedicated to the rights, unity and well-being of their people, they will ensure the consolidation of their nation and its security which will have a cumulative transformation on the governance architecture of the continent. Recently, Africa needs leaders that understood the social, economic and political forces that constitute the security arena and who never forget their role as an ultimate stakeholder for promoting good governance and the subsequent events of wealth creation and sustainable development in the continent.

Document clustering is primarily a method applied for an uncomplicated, document search, analysis and review of content or is a process of automatic classification of documents of similar type categorized to relevant clusters, in a clustering hierarchy. In this paper a review of the related work in the field of document clustering from the simple techniques of word and phrase to the present complex techniques of statistical analysis, machine learning etc are illustrated with their implications for future research work.