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Your search keyword '"Qiu, Jian-Feng"' showing total 38 results
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38 results on '"Qiu, Jian-Feng"'

10. Temporal transcriptome reveals that circadian clock is involved in the dynamic regulation of immune response to bacterial infection in Bombyx mori.

Author

Qiu, Jian‐Feng, Cui, Wen‐Zhao, Zhang, Qiang, Dai, Tai‐Ming, Liu, Kai, Li, Jiang‐Lan, Wang, Yu‐Jun, Sima, Yang‐Hu, and Xu, Shi‐Qing

Subjects
*CIRCADIAN rhythms, *SILKWORMS, *IMMUNOREGULATION, *BACTERIAL diseases, *STAPHYLOCOCCUS aureus infections, *MOLECULAR clock
Abstract

The circadian clock plays a critical role in the regulation of host immune defense. However, the mechanistic basis for this regulation is largely unknown. Herein, the core clock gene cryptochrome1 (cry1) knockout line in Bombyx mori, an invertebrate animal model, was constructed to obtain the silkworm with dysfunctional molecular clock, and the dynamic regulation of the circadian clock on the immune responsiveness within 24 h of Staphylococcus aureus infection was analyzed. We found that deletion of cry1 decreased viability of silkworms and significantly reduced resistance of larvae to S. aureus. Time series RNA‐seq analysis identified thousands of rhythmically expressed genes, including immune response genes, in the larval immune tissue, fat bodies. Uninfected cry1 knockout silkworms exhibited expression patterns of rhythmically expressed genes similar to wild‐type (WT) silkworms infected with S. aureus. However, cry1 knockout silkworms exhibited a seriously weakened response to S. aureus infection. The immune response peaked at 6 and 24 h after infection, during which "transcription storms" occurred, and the expression levels of the immune response genes, PGRP and antimicrobial peptides (AMPs), were significantly upregulated in WT. In contrast, cry1 knockout did not effectively activate Toll, Imd, or NF‐κB signaling pathways during the immune adjustment period from 12 to 18 h after infection, resulting in failure to initiate the immune responsiveness peak at 24 h after infection. This may be related to inhibited silkworm fat body energy metabolism. These results demonstrated the dynamic regulation of circadian clock on silkworm immune response to bacterial infection and provided important insights into host antimicrobial defense mechanisms. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Based on time series similarity matching algorithm for earthquake prediction research

Author

Zheng Hua, Qiu Jian-feng, Lin chen, Jiang A-fang, and Li Wei

Subjects
Correlative, Sequence, Source data, Basis (linear algebra), Similarity (network science), Computer science, Earthquake prediction, Data mining, computer.software_genre, computer, Blossom algorithm, Field (computer science)
Abstract

On the basis of analyzing the newly time sequence research achievement nowadays, several definitions on seismological zone relativity are put forward in this paper for integrating the large amount of history earthquake source data and the experimental expert knowledge in seismological field. At the same time, the time sequence similarity-matching model of the relevant seismological zone is presented, and then it is implemented through several correlative experimental simulations. Based on the sequence similarity-matching model, a sequence-matching algorithm is given with seismological similarity. Furthermore, by discovering the history earthquake database in recent several years, some experiments are provided to analyze longitudinal thick-granularity sequential similarity and thin-granularity sequential similarity. Finally, the experimental result has found its satisfactory way out by using the proposed algorithm to support earthquake prediction.

Published
2010

38. Improved artificial bee colony based on intersect mutation operator and its application.

Author

QIU Jian-feng, XIE Juan, and WANG Ji-wen

Subjects
*BEES algorithm, *STOCHASTIC convergence, *PROBLEM solving, *PERFORMANCE evaluation, *OPERATOR theory, *PARAMETERS (Statistics)
Abstract

It is easier to get trapped in the local optima in optimizing complex multimodal functions while slow convergence speed in solving unimodal functions using ABC algorithm. In order to overcome these shortcomings and improve the optimization performance, this paper introduced an improved ABC algorithm based on intersect mutation strategies. According to the IMABC algorithm, the whole bee colony could be divided into two sub-populations by introducing the parameter M. An intersect mutation operator could be applied to the individuals belong to different sub-populations and got a balance between local exploitation and global exploration among the populations avoiding premature convergence and enhancing convergence speed. The experiments test the performance improvement comparing the other improved ABC algorithm, such as, GABC, IABC, ABC/best. At last, the IMABC algorithm can be applied to optimize K-means algorithm and a better experimental result validate its practicability and effectiveness. [ABSTRACT FROM AUTHOR]

Published
2014
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