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Osteomyelitis of the maxillofacial skeleton is a rare condition in recent times. The combination of antibiotic therapy and surgical debridement is effective in the treatment of chronic suppurative osteomyelitis (CSO). This case report describes the successful surgical treatment of CSO of the mandible in an 18-year-old adult. Treatment included a pre-surgical course of antibiotics followed by sequestrectomy, resection of the coronoid process and removal of the pathologically fractured condylar process of the left side of the mandible. On post-operative clinical review at 1 week, the extra oral draining sinus healed with improved mouth opening.

Finding motif in biosequences is the most important primitive operation in computational biology. There are many computational requirements for a motif discovery algorithm such as computer memory space requirement and computational complexity. To overcome the complexity of motif discovery, we propose an alternative solution integrating genetic algorithm and Fuzzy Art machine learning approaches for eliminating multiple sequence alignment process. Problem statement: More than a hundred methods had been proposed for motif discovery in recent years, representing a large variation with respect to both algorithmic approaches as well as the underlying models of regulatory regions. The aim of this study was to develop an alternative solution for motif discovery, which benefits from both data mining and genetic algorithm, and which at the same time eliminates the cost caused by use of multiple sequence alignment. Approach: Genetic algorithm based probabilistic Motif discovery model was designed to solve the problem. The proposed algorithm was implemented using Matlab and also tested with large DNA sequence data sets and synthetic data sets. Results: Results obtained by the proposed model to find the motif in terms of speed and length are compared with the existing method. Our proposed method finds Length of 11 in 18 sec and length of 15 in 24 sec but the existing methods finds length of 11 in 34 sec. Compare to other techniques the proposed one was outperforms the popular existing method. Conclusion: In this study, we proposed a model to discover motif in large set of unaligned sequences in considerably minimum time. Length of motif was also long. The proposed algorithm will be implemented using Matlab and was tested with large DNA sequence data sets and synthetic data sets. Key words: Bioinformatics, genetic algorithm, motif, DNA sequence, multiple unaligned, INTRODUCTION Modern growths in bioinformatics have stimulated many researchers' attention to this area. Biologists, computer scientists, and others from various fields have contributed different researches planning to benefit more from [...]

Nuclear matter densities and charge radii for even 46−62Cr isotopes have been calculated using relativistic Hartree-Bogoliubov model based on density-dependent meson-exchange relativistic energy density functional. The calculated root-mean-square charge radii agree well with corresponding data and the kink at N=28 is reproduced by the calculation. The calculated target matter densities are folded with the Jeukenne, Lejeune, and Mahaux-Bruyéres inter-nucleon interaction to obtain semi-microscopic optical model potentials for incident protons of 65 MeV on even 46−62Cr isotopes. The elastic scattering differential cross sections calculated using the proton optical potentials reproduce corresponding data for stable isotopes. The optical model potential parameters required for prediction of differential and total reaction cross sections for unstable even isotopes have been obtained.

The explosion due to gas leakage has become a serious problem in our country. Now the world is evolving with technology, so it is necessary to use technology, if possible, in every case. The world has seen rapid development of technology in various field due to fast modernization of this world. However, all of that is basically to make human life easier and more hassle-free in every sphere of life. Most of the fire-breakouts in industries are due to gas leaks. These cause dreadful damage to the equipment, human life leading to injuries, deaths, and environment. Gas leakage is a major problem with industrial sector, residential premises and gas-powered vehicles like CNG (compressed natural gas) buses, cars. The system mainly consists of Global Positioning System (GPS) which has been developed in order to allow accurate determination of geographical locations by military and civil users. Global Positioning System is used to track the exact location of gas leakage by understanding of navigation using the lines of latitude and longitude. Global System for Mobile Communications (GSM) technology was developed as a digital system using the time division multiple access technique for communication purposes. Global System for Mobile Communications (GSM) which is used to send the warning message to management and employees who are working in the industry. whenever, gas leakage occurs buzzer will be activated. [ABSTRACT FROM AUTHOR]

Riboflavin is an essential, water-soluble vitamin (B2) and a component of basic cellular metabolism. The aim of the present study is to isolate and characterize riboflavin producing bacteria from different food sources. Ten different riboflavin enriched food sources were collected from Vellore district. Totally 72 bacterial strains were isolated and cultured on nutrient agar plates. Out of these, 43 strains were identified as riboflavin producers. Isolated bacterial strains HDS27, HDS07, HDS14, HDS18, HDS38 and HDS54 isolated from milk, mushroom, spinach, lamb kidney, beef liver and mackerel fish were found to be potent riboflavin producers. Based on morphological, biochemical and molecular characterization, the potent strains were identified as Lactobacillus plantarum (HDS27), Bacillus cereus (HDS07), Delftia tsuruhatensis (HDS14), Citrobacter freundii (HDS18), Enterobacter cloacae (HDS38) and Bacillus cereus (HDS54). The selected potent isolates HDS27 from milk and HDS07 from mushroom showed a maximum riboflavin production of 3.69 mg/L and 2.9mg/L respectively. The present study explores the riboflavin producing novel bacteria from different food sources. This is the first report that the Enterobacter cloacae isolated from beef liver, Delftia tsuruhatensis from spinach and Citrobacter freundii from lamb kidney has the ability to produce riboflavin. These potent strains could be a better starter for substituting the conventional bacteria for large scale production of riboflavin in industry. [ABSTRACT FROM AUTHOR]