Publications by authors named "Yu-Mei Gong"

The rat auditory cortex is divided anatomically into several areas, but little is known about the functional differences in information processing among these areas. Three tonotopically organized core fields, namely, the primary (A1), anterior (AAF), and ventral (VAF) auditory fields, as well as one non-tonotopically organized belt field, the dorsal belt (DB), were identified based on their response properties. Compared to neurons in A1, AAF and VAF, units in the DB exhibited little or no response to pure tones but strong responses to white noise.

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, the causative agent of infectious coryza, is known to release outer membrane vesicles (OMVs). In the present study, we investigated the composition, bioactivities, and functional properties of the OMVs of . Following extraction and purification, the OMVs were observed to be spherical in shape, with diameters ranging from 20 to 300 nm.

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Using oddball stimulus with pure tones, researchers have extensively investigated stimulus-specific adaptation (SSA), which has been regarded as a method of novelty detection, from the inferior colliculus (IC) to the auditory cortex (AC). However, until now, it is not clear whether SSA is preserved for natural sounds or whether it exists for spatial cues in the AC. Moreover, it is also unclear whether SSA integrates different types of cues within a single modality such as sound location and sound identity.

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Background: Human papillomavirus (HPV) infection is the commonest sexually transmitted infection, which is associated with various clinical conditions. This study aimed to determine the distribution of HPV genotypes in the women of Henan Province, China.

Methods: Cervical samples were collected by liquid-based method and consecutively evaluated cervical cytology and the presence of HPV DNA.

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Near-Infrared Spectroscopy (NIRS) is the most rapidly developing and the most noticeable spectrographic technique in the 80's (the last century). Its developing history and utilization in foreign countries were introduced. The authors mainly summarized the applications of NIRS to the field of forestry.

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