نتایج جستجو برای: identification

تعداد نتایج: 409258  

Journal: :iranian journal of parasitology 0
a bairami kuzehkanan dept. of parasitology and mycology, school of public health, tehran university of medical sciences, tehran, iran and dept. of public health, school of public health, alborz university of medical sciences, alborz, iran m rezaeian dept. of parasitology and mycology, school of public health, tehran university of medical sciences, tehran, iran and center for research of endemic parasites of iran (crepi), tehran university of medical sciences, tehran, iran h zeraati epidemiology and biostatistics department, school of public health, tehran university of medical sciences, tehran, iran m mohebali dept. of parasitology and mycology, school of public health, tehran university of medical sciences, tehran, iran and center for research of endemic parasites of iran (crepi), tehran university of medical sciences, tehran, iran z babaei dept. of parasitology and mycology, school of medicine, kerman university of medical sciences, kerma l kashi dept. of parasitology and mycology, school of public health, tehran university of medical sciences, tehran, iran

background: the main goal of the present study was to develop a new sensitive and specific pcr based method for identification of cryptosporidium sp. using novel primers from 18s ribosomal rna. cryptosporidi­osis in high-risk host groups particularly in neonates and immuno-compromised individuals may result in death. to the best of our knowledge this is the first study regarding develop a new p...

1998
Lisa Yanguas Gerald C. O'Leary Marc A. Zissman

Automatic dialect identification, like automatic language identification , has often been approached through the use of phonetic frequencies and phonetic sequence modeling. While such statistical systems perform well on language identification problems, they are less adept at the more difficult problem of automatic dialect identification, particularly on short segments of speech. In this paper ...

2008
Colin Smith Lorcan Coyle Aaron Quigley

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2010
Lynette Hirschman John S. Aberdeen

Current metrics for de-identification are based on information extraction metrics, and do not address the real-world questions “how good are current systems”, and “how good do they need to be”. Metrics are needed that quantify both the risk of re-identification and information preservation. We review the challenges in de-identifying clinical texts and the current metrics for assessing clinical ...

2007
Shweta Jain Samir R. Das Jennifer L. Wong Himanshu Gupta Vijay Raghunathan

of the Dissertation Efficient Medium Access Protocols for Wireless and RFID Networks

2005
L. E. Miller N. P. Bryner P. F. Wilson M. H. Francis J. R. Guerrieri

2013
Benjamin Swanson

Tree Substitution Grammar rules form a large and expressive class of features capable of representing syntactic and lexical patterns that provide evidence of an author’s native language. However, this class of features can be applied to any general constituent based model of grammar and previous work has done little to explore these options, relying primarily on the common Penn Treebank annotat...

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