The problem of signal detection using sparse, faint information is closely related to a variety of contemporary statistical problems, including the control of false-discovery rate, and classification using very high-dimensional data. Each problem can be solved by conducting a large number of simultaneous hypothesis tests, the properties of which are readily accessed under the assumption of inde...

both c. pneumoniae and m. pneumoniae are common causes of respiratory tract infection. at present, both are still diagnosed in the laboratory retrospectively by serology. this is despite many publications which indicate that pcr, which is not retrospective, is extremely good at detecting these organisms. we thought that a single pcr test which could detect both organisms simultaneously in a rou...

Citation: Zhang C, Xiu L, Xiao Y, Xie Z, Ren L and Peng J (2018) Simultaneous Detection of Key Bacterial Pathogens Related to Pneumonia and Meningitis Using Multiplex PCR Coupled With Mass Spectrometry. Front. Cell. Infect. Microbiol. 8:107. doi: 10.3389/fcimb.2018.00107 Simultaneous Detection of Key Bacterial Pathogens Related to Pneumonia and Meningitis Using Multiplex PCR Coupled With Mass S...

One of the main challenges in robotics is navigating autonomously through large, unknown, and unstructured environments. Simultaneous localization and mapping (SLAM) is currently regarded as a viable solution for this problem. As the traditional metric approach to SLAM is experiencing computational difficulties when exploring large areas, increasing attention is being paid to topological SLAM, ...

In this study, considering the effect of phrase grouping in spontaneous speech, prosodic words, instead of lexical words, are adopted as the units for error correction of speech recognition results. The prosodic words and the corresponding mis-recognized word fragments are obtained from a speech database to construct a mis-recognized word fragment table for the extracted prosodic words. For eac...