February 2012 BSP FINAL.pub
نویسندگان
چکیده
The outbreak of enterohaemorrhagic Escherichia coli in Germany last year and recent reports about the emergence of Salmonella Kentucky as a “new superbug” have re-focused public attention on food-borne diseases. Salmonellosis is an important cause of food-borne disease with significant economic burden to the population and healthcare systems. In the last century, microbiologists have identified hundreds of different types of salmonella that can infect humans and warm-blooded animals and are wide-spread, especially in areas with substandard farming and supplies of drinking water. They can cause acute gastroenteritis following ingestion of contaminated water or undercooked food of animal origin. The human disease caused by these bacteria ranges from mild abdominal discomfort to vomiting and dehydration and can be life-threatening for children and the elderly. It has become a major public health problem internationally. The global human health impact of non-typhoidal Salmonella infection can be as high as 10 8 cases and 155,000 deaths each year. Many cases of salmonellosis would be prevented if common outbreak sources could be identified rapidly by enabling earlier public health interventions. However, changes in food-borne disease epidemiology have complicated recognition and investigation of outbreaks. The increased mobility of people, complex food production, processing and distribution systems and the plethora of retail fast food outlets necessitate more efficient and effective ways to identify sources of food-borne outbreaks. Salmonellarelated outbreaks are increasingly associated with a diverse range of food sources, yet the mechanisms of contamination often remain poorly understood and the true rates of infection are likely to be under-reported. In this issue, CIDM -PH collaborators share the results of their translational research on public health aspects of salmonella infection.
منابع مشابه
BSP vs MapReduce
The MapReduce framework has been generating a lot of interest in a wide range of areas. It has been widely adopted in industry and has been used to solve a number of non-trivial problems in academia. Putting MapReduce on strong theoretical foundations is crucial in understanding its capabilities. This work links MapReduce to the BSP model of computation, underlining the relevance of BSP to mode...
متن کاملBSP-SLIM: a blind low-resolution ligand-protein docking approach using predicted protein structures.
We developed BSP-SLIM, a new method for ligand-protein blind docking using low-resolution protein structures. For a given sequence, protein structures are first predicted by I-TASSER; putative ligand binding sites are transferred from holo-template structures which are analogous to the I-TASSER models; ligand-protein docking conformations are then constructed by shape and chemical match of liga...
متن کاملAntitumor and Immunomodulatory Effects of Polysaccharides from Broken-Spore of Ganoderma lucidum
The antitumor and immunomodulatory activity of broken-spore of Ganodermalucidum polysaccharides (Gl-BSP) were investigated in vivo and in vitro. It was showed that Gl-BSP (50, 100, and 200 mg kg(-1)) exhibited antitumor effect against Sarcoma 180 (S180) in BALB/c mice. The Gl-BSP was not cytotoxicity in S180 cells and PG cells (human lung carcinoma cell) in vitro. However, serum from Gl-BSP-tre...
متن کاملThe Price-Anderson Act and the role of Congress in compensating victims after a catastrophic nuclear disaster.
متن کامل
Stochastic Kronecker Graph on Vertex-Centric BSP
Recently Stochastic Kronecker Graph (SKG), a network generation model, and vertex-centric BSP, a graph processing framework like Pregel, have attracted much attention in the network analysis community. Unfortunately the two are not very wellsuited for each other and thus an implementation of SKG on vertex-centric BSP must either be done serially or in an unnatural manner. In this paper, we pres...
متن کامل