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Your search keyword '"Jiao Rui"' showing total 1,182 results
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1,182 results on '"Jiao Rui"'

103. Fault diagnosis of rolling bearing based on BP neural network with fractional order gradient descent.

Author

Jiao, Rui, Li, Sai, Ding, Zhixia, Yang, Le, and Wang, Guan

Subjects
*FAULT diagnosis, *ROLLER bearings, *SINGULAR value decomposition, *FEATURE extraction, *ROTATING machinery
Abstract

The health of rolling bearing is of great importance for the normal operation of rotating machinery. The fault diagnosis process can be roughly summarized as signal processing, feature extraction, and fault classification. In this paper, a novel feature extraction and fault diagnosis method with fractional order back-propagation neural network is put forward. The new sine cosine algorithm optimized variational mode decomposition is performed on vibration signals, and the fault feature vectors are selected and built by singular value decomposition. Inspired by the fractional order calculus, a fractional order back-propagation neural network is employed to realize fault classification. The capability of the developed fault diagnosis algorithm is comprehensively evaluated via benchmark bearing data. The experimental results demonstrate that the designed method substantially extracts bearing defect features, increases classification accuracy and efficiency, and also outperforms existing algorithms. [ABSTRACT FROM AUTHOR]

Published
2024
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125. Exploring the impact of autumn color and bare tree landscapes in virtual environments on human well-being and therapeutic effects across different sensory modalities.

Author

Yin, Menglei, Li, Kankan, Xu, Zhiman, Jiao, Rui, and Yang, Wenzhi

Subjects
VIRTUAL reality, HUMAN ecology, LANDSCAPE assessment, TREATMENT effectiveness, WELL-being, LANDSCAPES, AUTUMN
Abstract

In recent years, there has been a growing awareness of the potential health benefits of the natural environment for human well-being. Given the fast-paced nature of contemporary lifestyles, research into the use of virtual environments as a means to provide various seasonal landscapes has gained increasing importance. Objective: The aim of this study is to investigate the impact of different sensory modes on the preferences and therapeutic effects of virtual autumn landscapes on university campuses. Methods: In this study, 320 participants, with an average age of 21.11 years (±1.21 years), were exposed to virtual environments featuring autumn color landscapes and bare tree landscapes using visual, auditory, and combined conditions. A control group was included for comparison. Differences in participants' physiological indicators (EEG, heart rate) and psychological measures (POMS, PANAS, SVS, ROS) were analyzed, with the use of the Holm correction (P < 0.05). Results: (1) Autumn virtual landscapes with color had a superior therapeutic effect. (2) There were significant differences in the therapeutic effects of different sensory modes within the same season's landscape categories, suggesting that incorporating additional sensory dimensions may enhance therapeutic outcomes. Conclusion: Based on the study's findings, we recommend that when designing therapeutic environments, attention should be given to seasonal variations and the integration of various sensory modes to optimize therapeutic results. [ABSTRACT FROM AUTHOR]

Published
2024
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126. P450‐Modified Multicyclic Cyclophane‐Containing Ribosomally Synthesized and Post‐Translationally Modified Peptides.

Author

Liu, Cheng Li, Wang, Zi Jie, Shi, Jing, Yan, Zhang Yuan, Zhang, Guo Dong, Jiao, Rui Hua, Tan, Ren Xiang, and Ge, Hui Ming

Subjects
AMINO acid residues, PEPTIDES, CYCLIC peptides, PEPTIDE derivatives, OXIDATIVE coupling, CYTOCHROME P-450
Abstract

Cyclic peptides with cyclophane linkers are an attractive compound type owing to the fine‐tuned rigid three‐dimensional structures and unusual biophysical features. Cytochrome P450 enzymes are capable of catalyzing not only the C−C and C−O oxidative coupling reactions found in vancomycin and other nonribosomal peptides (NRPs), but they also exhibit novel catalytic activities to generate cyclic ribosomally synthesized and post‐translationally modified peptides (RiPPs) through cyclophane linkage. To discover more P450‐modified multicyclic RiPPs, we set out to find cryptic and unknown P450‐modified RiPP biosynthetic gene clusters (BGCs) through genome mining. Synergized bioinformatic analysis reveals that P450‐modified RiPP BGCs are broadly distributed in bacteria and can be classified into 11 classes. Focusing on two classes of P450‐modified RiPP BGCs where precursor peptides contain multiple conserved aromatic amino acid residues, we characterized 11 novel P450‐modified multicyclic RiPPs with different cyclophane linkers through heterologous expression. Further mutation of the key ring‐forming residues and combinatorial biosynthesis study revealed the order of bond formation and the specificity of P450s. This study reveals the functional diversity of P450 enzymes involved in the cyclophane‐containing RiPPs and indicates that P450 enzymes are promising tools for rapidly obtaining structurally diverse cyclic peptide derivatives. [ABSTRACT FROM AUTHOR]

Published
2024
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