Publications by authors named "Jianhong Qu"

Driving style has been proposed to be a critical factor in automated driving. However, the role of driving style in the process of taking over during automated driving needs further investigation. The main purpose of this study was to investigate the influence of driving style on takeover performance under the influence of warning system factors.

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Under the human-automation codriving future, dynamic trust should be considered. This paper explored how trust changes over time and how multiple factors (time, trust propensity, neuroticism, and takeover warning design) calibrate trust together. We launched two driving simulator experiments to measure drivers' trust before, during, and after the experiment under takeover scenarios.

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This research investigated the effects of an abnormal flight environment using touch-based navigation displays (TNDs). Fitts' law was used to compare the performance of TNDs with control display units (CDUs) and mode control panel (MCPs) under three different flight scenarios (normal, turbulence and startled). A within-subjects design involving 15 male participants was used.

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Tilapia were exposed to sub-lethal concentrations of 0, 0.2, 2, 20 or 200 μg/L for 30 days, then transferred to methomyl-free water for 18 days. E , T, 11-KTand VTG in serum were examined.

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Article Synopsis
  • The study used high-throughput 16S rRNA gene sequencing to analyze bacterioplankton and archaeaplankton communities in the upper tidal reach of the Yangtze River, revealing key compositions of bacterial and archaeal groups.
  • The predominant bacterial phyla identified were Proteobacteria, Firmicutes, and Actinobacteria, while the main archaeal classes included Halobacteria, Methanomicrobia, and unclassified Euryarchaeota.
  • The research highlighted that the community compositions and functional profiles were influenced by spatial changes in sulphate and nitrate concentrations, with bacterial communities being more sensitive to these variations compared to archaeal communities.
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Bacterial community compositions in the surface sediment of tilapia ponds and their responses to pond characteristics or seasonal variations were investigated. For that, three ponds with different stocking densities were selected to collect the samples. And the method of Illumina high-throughput sequencing was used to amplify the bacterial 16S rRNA genes.

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  • At low concentrations (0.2 and 2 μg/L), there were no significant changes in gene expression linked to their endocrine system, while higher concentrations (20 and 200 μg/L) caused notable disruptions in hormone-related genes, leading to reproductive issues.
  • Recovery tests indicated that the harmful effects from 20 μg/L of methomyl were reversible, but those from 200 μg/L resulted in irreversible endocrine disruption in male tilapia.
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The normal dose of 17α-methyltestosterone (MT) used in fish farming was 60 mg/L, and now the analysis of residual androgens was carried out in waste water obtained from the Beijing area, which could be detected in levels ranging from 4.1 to 7.0 ng/L.

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Three heterotrophic nitrifying bacterial strains, HLf01, HBf01 and HHf01, were isolated from a pond where genetically improved farmed tilapia (GIFT) (Oreochromis niloticus) was intensively cultured during the annual peak breeding period. Analysis of biochemical, morphological characteristics and sequences analysis of 16S rDNA identified strains HLf01 and HBf01 as Pseudomonas sp., and strain HHf01 as Acinetobacter baumannii.

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Tilapia were exposed to sublethal concentrations of 0, 0.2, 2, 20, or 200 μg/L for 30 days, and then transferred to methomyl-free water for 18 days. GST, GPx, GR, GSH, and GSSG in tilapia serum were examined at 0, 6, 12, 18, 24, and 30 days after methomyl exposure and at 18 days after transferring to methomyl-free water.

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