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The paper investigated the life cycle of the hard tick Haemaphysalis doenitzi under laboratory conditions and its phylogeny based on mitochondrial 16S rDNA. The results revealed that the complete life cycle of H. doenitzi requires a mean duration of 109.6 days ranging from 91 to 137 days and the average prefeeding, feeding and premoulting periods of larvae,(More)
We report that multiple symbionts coexist in Dermacentor silvarum. Based on 16S rRNA gene sequence analyses, we prove that Coxiella-like and Arsenophonus-like symbionts, with 95.6% and 96.7% sequence similarity to symbionts in the closest taxon, respectively, are novel. Moreover, we also provide evidence that the Coxiella-like symbiont appears to be the(More)
Jolkinolide B (JB), an ent-abietane diterpenoid, isolated from the dried root of Euphorbia fischeriana, has been reported to have potent anti-tumor and anti-inflammatory activities. However, the effects of JB on acute lung injury (ALI) and underlying molecular mechanisms have not been investigated. The present study aimed to investigate the effect of JB on(More)
—The pedestrian inertial navigation systems are generally based on Pedestrian Dead Reckoning (PDR) algorithm. Considering the physiological characteristics of pedestrian movement, we use the cyclical characteristics and statistics of acceleration waveform and features which are associated with the walking speed to estimate the stride length. Due to the(More)
Previously, we reported that Coxiella-like, Rickettsia-like and Arsenophonus-like symbionts could simultaneously coexist in Dermacentor silvarum. In this study, we examined their burdens and population dynamics in a single host during the host life cycle using quantitative PCR. Our results showed that multiple symbionts exhibited different abundances and(More)
The approach of using Magnetic Angular Rate Gravity (MARG) sensor for the current multi-sensor based pedestrian navigation algorithm magnetometers is susceptible to the external magnetic interference. The result of attitude is affected by many factors, like the low-precision MEMS gyro drift and large body linear acceleration measurements. In this paper, we(More)
Based on the Principal Component Analysis (PCA), a novel hybrid Support Vector Machine (SVM) Clustering and Regression (SVMCR) approach used for indoor Wireless Local Area Network (WLAN) localization is proposed in this paper. First of all, we rely on the SVM Clustering (SVMC) to conduct the classification for the sake of narrowing down the search space of(More)
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