Sternoclavicular septic arthritis is a rare infection, accounting for approximately 1% of septic arthritis in the general population. Staphylococcus aureus is the predominant etiologic agent, and it usually occurs in relatively young adults with some type of predisposition to infection. We report, to the best of our knowledge, the first case of group A streptococcal, sternoclavicular arthritis in a previously healthy 62-year-old male patient. We present a detailed history and physical examination, with laboratory findings, imaging studies, cultures, and therapy.
The constant population and economic growth has caused an enormous increase in the number of private cars in cities worldwide. Carpooling is one of the most effective solutions to traffic congestion. In this paper, an advanced carpool system is described in detail and called the intelligent carpool system (ICS), which provides users the use of the carpool services through a smart handheld device anywhere and at any time. To generate ride matches through the carpool service agency, we use the genetic algorithm to propose the geneticbased carpool route and matching algorithm (GCRMA) for this multi objective optimization problem called the carpool service problem (CSP).Use of the GCRMA was proved to result in superior results involving the optimization objectives of CSP than other algorithms. Furthermore, our GCRMA has small amount of computational complexity to response the match results in the reasonable time, and the processing time is further reduced by the termination criteria of early stop. The remaining of this paper is organized as follows: Section I contains introduction to carpool system, Section II presents related search, Section III describes two modules of ICS, Section IV contains carpool system problem (CSP),while Section V contains genetic based algorithm i.e. GCRMA. KeywordsIntelligent carpool system (ICS), genetic-based carpool route and matching algorithm (GCRMA), carpool service problem (CSP).
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