نتایج جستجو برای: bacterial identification
تعداد نتایج: 602906 فیلتر نتایج به سال:
ABSTRACT The purpose of this study was to investigate the extend of bacterial contaminatim of ice blocks being used on daily basis in the community. In this study fifty samples of ice blocks from April to September 1999 were collected from different areas in the city of Tehran. Experiments were carrid out for the determination of total count of bacteria and the identification of pathog...
Introduction: To date, surgery has been the treatment of choice for hydatid cyst, with regard to danger of leakage of hydatid cyst contents into viscera and production of secondary cysts, after spread of protoscolices. Different scolicidal agents get injected into cyst for preventing the secondary cyst production, which may cause different side effects in host, especially in the surrounding tis...
AIM Identification of pathogenic clinical bacterial isolates is mainly dependent on phenotypic and genotypic characteristics of the microorganisms. These conventional methods are costive, time-consuming, and need special skills and training. An alternative, mass spectral (proteomics) analysis method for identification of clinical bacterial isolates has been recognized as a rapid, reliable, and ...
Nowadays new peer to peer (P2P) traffic with dynamic port and encrypted technology makes the identification of P2P traffic become more and more difficult. As one of the optimal classifiers, support vector machine (SVM) has special advantages with avoiding local optimum, overcoming dimension disaster, resolving small samples and high dimension for P2P classification problems. However, to employ ...
We present a theory of classification and predictive identification of bacteria. Bacterial strains are characterized by a binary vector and the taxonomy is specified by attaching a label to each vector. The theory is developed from only two basic assumptions, viz. that the sequence of pairs of feature vectors and the attached labels is judged (infinitely) exchangeable and predictively sufficien...
Charles River AccuPRO-ID®, the first practical proteotypic identification method, utilizes matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry. For industries that are required to identify microorganisms on a regular basis, the ideal technology is one that is accurate, reproducible, fast, and inexpensive. MALDI-TOF technology is less dependent on growth cond...
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