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A hybrid self-adaptive Firefly-Nelder-Mead algorithm for structural damage detection
Chu-Dong Pan,Ling Yu,Ze-Peng Chen,Wen-Feng Luo,Huan-Lin Liu 국제구조공학회 2016 Smart Structures and Systems, An International Jou Vol.17 No.6
Structural damage detection (SDD) is a challenging task in the flied of structural health monitoring (SHM). As an exploring attempt to the SDD problem, a hybrid self-adaptive Firefly-Nelder-Mead (SA-FNM) algorithm is proposed for the SDD problem in this study. First of all, the basic principle of firefly algorithm (FA) is introduced. The Nelder-Mead (NM) algorithm is incorporated into FA for improving the local searching ability. A new strategy for exchanging the information in the firefly group is introduced into SA-FNM for reducing the computation cost. A random walk strategy for the best firefly and a self-adaptive control strategy of three key parameters,such as light absorption, randomization parameter and critical distance, are proposed for preferably balancing the exploitation and exploration ability of the SA-FNM. The computing performance of the SA-FNM is evaluated and compared with the basic FA by three benchmark functions. Secondly, the SDD problem is mathematically converted into a constrained optimization problem, which is then hopefully solved by the SA-FNM algorithm. A multi-step method is proposed for finding the minimum fitness with a big probability. In order to assess the accuracy and the feasibility of the proposed method, a two-storey rigid frame structure without considering the finite element model (FEM) error and a steel beam with considering the model error are taken examples for numerical simulations. Finally, a series of experimental studies on damage detection of a steel beam with four damage patterns are performed in laboratory. The illustrated results show that the proposed method can accurately identify the structural damage. Some valuable conclusions are made and related issues are discussed as well.
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Zixiang Wei,Ruidong Chu,Lanjie Li,Jingjing Zhang,Huachen Zhang,Xiaohong Pan,Yifan Dong,Guiqin Liu 한국축산식품학회 2021 한국축산식품학회지 Vol.41 No.4
In this study, the microbial community succession and the protein hydrolysis of donkey meat during refrigerated (4℃) storage were investigated. 16S rDNA sequencing method was used to analyze the bacteria community structure and succession in the level of genome. Meanwhile, the volatile base nitrogen (TVB-N) was measured to evaluate the degradation level of protein. After sorting out the sequencing results, 1,274,604 clean data were obtained, which were clustered into 2,064 into operational taxonomic units (OTUs), annotated to 32 phyla and 527 genus. With the prolonging of storage time, the composition of microorganism changed greatly. At the same time, the diversity and richness of microorganism decreased and then increased. During the whole storage period, Proteobacteria was the dominant phyla, and the Photobacterium, Pseudompnas, and Acinetobacter were the dominant genus. According to correlation analysis, it was found that the abundance of these dominant bacteria was significantly positively correlated with the variation of TVB-N. And Pseudomonas might play an important role in the production of TVB-N during refrigerated storage of donkey meat. The predicted metabolic pathways, based on PICRUSt analysis, indicated that amino metabolism in refrigerated donkey meat was the main metabolic pathways. This study provides insight into the process involved in refrigerated donkey meat spoilage, which provides a foundation for the development of antibacterial preservative for donkey meat.
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Zhen-Hong Lv,Hui-Peng Pan,Wei Zhang,Tian-Bo Ding,Dong Chu 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.1
Custom reference gene selection is essential for reverse transcriptase-quantitative polymerase chain reaction(RT-qPCR) in different species of insects and various experiment conditions. In this study, 14 candidate referencegenes (HSP40, HSP20, HSP70, HSP90, v-ATPase, RPL29, EF-1, SDHA, Actin, PPIA, GAPDH, MyosinL,NADH, and γ-tubulin) were analyzed using five different programs including ΔCt method, BestKeeper, geNorm,NormFinder, and ReFinder to validate their use as reference genes in two invasive whiteflies, Bemisia tabaci Band Q, after acquiring the vectored virus, Tomato yellow leaf curl virus (TYLCV), or ingesting the non-vectoredvirus, Tomato spotted wilt virus (TSWV), respectively. The results showed that HSP40, v-ATPase, and EF-1 werethe most stable genes in B. tabaci B (B. tabaci B feeding on the healthy, TYLCV- and TSWV-infected tomatoplant), PPIA, SDHA, and RPL29 were the most stable genes in B. tabaci Q (B. tabaci Q feeding on the healthy,TYLCV- and TSWV-infected tomato plant). In addition, EF-1, RPL29, and HSP20 were the most stable referencegenes in B. tabaci B and Q. These findings provide the basis for future RT-qPCR-based studies on whitefly-virus interactions. Meanwhile,this report may set a precedent for reference gene selection in insects after the ingestion of non-vectored viruses.
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Simin Liu,Weiwei Chen,Min Wang,Tong Wu,Lingli Dong,Chu Pan,Wenzhen Zhu 대한영상의학회 2019 Korean Journal of Radiology Vol.20 No.3
Objective: To evaluate the secretory function of parotid glands by dynamic magnetic resonance (MR) sialography and determine the clinical performance of this technique in diagnosing and evaluating Sjögren’s syndrome (SS) patients. Materials and Methods: This study enrolled 29 healthy volunteers (25 women and 4 men; mean age, 34.8 ± 6.3 years; age range, 26–47 years) and 25 primary SS (pSS) patients (23 women and 2 men; mean age, 37.7 ± 7.9 years; age range, 25–50 years) with decreased secretory function. The volume of the parotid gland ducts was precisely measured for both groups at single pre- and 6 post-gustatory-stimulated phases. Time-dependent volume change ratio curves were generated, four parameters were derived from the curves: the slope of the increase in the first post-stimulation phase (slope1st), the peak value, the time-to-peak, the total saliva secretion post-stimulation. All values were used to quantitatively evaluate the secretory function of the parotid gland. The repeated measurement analysis, Mann-Whitney U test and receiver operating characteristic curve were applied. Results: Time-dependent volume change ratio curves demonstrated that there is a statistically significant difference between the two groups (F = 8.750; p = 0.005). A quickly increasing curve was shown in the volunteer group, whereas a slowly increasing curve was shown in the pSS patient group. The slope1st, peak value and total saliva secretion post-stimulation of the patient group were significantly lower than those of the volunteer group (p = 0.005, p = 0.003, and p = 0.002, respectively). The timeto-peak between the two groups was not significantly different (p = 0.383). The slope1st can be used as a discriminator to diagnose SS patients (p = 0.015; odds ratio = 4.234; area under the curve = 0.726). Conclusion: Dynamic MR sialography is proven to be an effective method in evaluating salivary gland function and has a great potential in diagnosing and evaluating pSS patients.
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