Crack identification based on Kriging surrogate model

Hai-yang Gao,Xing-lin Guo,Xiao-fei Hu 국제구조공학회 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.41 No.1

Kriging surrogate model provides explicit functions to represent the relationships between the inputs and outputs of a linear or nonlinear system, which is a desirable advantage for response estimation and parameter identification in structural design and model updating problem. However, little research has been carried out in applying Kriging model to crack identification. In this work, a scheme for crack identification based on a Kriging surrogate model is proposed. A modified rectangular grid (MRG) is introduced to move some sample points lying on the boundary into the internal design region, which will provide more useful information for the construction of Kriging model. The initial Kriging model is then constructed by samples of varying crack parameters (locations and sizes) and their corresponding modal frequencies. For identifying crack parameters, a robust stochastic particle swarm optimization (SPSO) algorithm is used to find the global optimal solution beyond the constructed Kriging model. To improve the accuracy of surrogate model, the finite element (FE) analysis soft ANSYS is employed to deal with the re-meshing problem during surrogate model updating. Specially, a simple method for crack number identification is proposed by finding the maximum probability factor. Finally, numerical simulations and experimental research are performed to assess the effectiveness and noise immunity of this proposed scheme.

Crack identification based on Kriging surrogate model

Gao, Hai-Yang,Guo, Xing-Lin,Hu, Xiao-Fei Techno-Press 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.41 No.1

Kriging surrogate model provides explicit functions to represent the relationships between the inputs and outputs of a linear or nonlinear system, which is a desirable advantage for response estimation and parameter identification in structural design and model updating problem. However, little research has been carried out in applying Kriging model to crack identification. In this work, a scheme for crack identification based on a Kriging surrogate model is proposed. A modified rectangular grid (MRG) is introduced to move some sample points lying on the boundary into the internal design region, which will provide more useful information for the construction of Kriging model. The initial Kriging model is then constructed by samples of varying crack parameters (locations and sizes) and their corresponding modal frequencies. For identifying crack parameters, a robust stochastic particle swarm optimization (SPSO) algorithm is used to find the global optimal solution beyond the constructed Kriging model. To improve the accuracy of surrogate model, the finite element (FE) analysis soft ANSYS is employed to deal with the re-meshing problem during surrogate model updating. Specially, a simple method for crack number identification is proposed by finding the maximum probability factor. Finally, numerical simulations and experimental research are performed to assess the effectiveness and noise immunity of this proposed scheme.

Methylated Alteration of SHP1 Complements Mutation of JAK2 Tyrosine Kinase in Patients with Myeloproliferative Neoplasm

Yang, Jun-Jun,Chen, Hui,Zheng, Xiao-Qun,Li, Hai-Ying,Wu, Jian-Bo,Tang, Li-Yuan,Gao, Shen-Meng Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.6

SHP1 negatively regulates the Janus kinase 2/signal transducer and activator of transcription (JAK2/STAT) signaling pathway, which is constitutively activated in myeloproliferative neoplasms (MPNs) and leukemia. Promoter hypermethylation resulting in epigenetic inactivation of SHP1 has been reported in myelomas, leukemias and other cancers. However, whether SHP1 hypermethylation occurs in MPNs, especially in Chinese patients, has remained unclear. Here, we report that aberrant hypermethylation of SHP1 was observed in several leukemic cell lines and bone marrow mononuclear cells from MPN patients. About 51 of 118 (43.2%) MPN patients including 23 of 50 (46%) polycythaemia vera patients, 20 of 50 (40%) essential thrombocythaemia and 8 of 18 (44.4%) idiopathic myelofibrosis showed hypermethylation by methylation-specific polymerase chain reaction. However, SHP1 methylation was not measured in 20 healthy volunteers. Hypermethylation of SHP1 was found in MPN patients with both positive (34/81, 42%) and negative (17/37, 45.9%) JAK2V617F mutation. The levels of SHP1 mRNA were significantly lower in hypermethylated samples than unmethylated samples, suggesting SHP1 may be epigenetically inactivated in MPN patients. Furthermore, treatment with 5-aza-2'-deoxycytidine (AZA) in K562 cells showing hypermethylation of SHP1 led to progressive demethylation of SHP1, with consequently increased reexpression of SHP1. Meanwhile, phosphorylated JAK2 and STAT3 were progressively reduced. Finally, AZA increased the expression of SHP1 in primary MPN cells with hypermethylation of SHP1. Therefore, our data suggest that epigenetic inactivation of SHP1 contributes to the constitutive activation of JAK2/STAT signaling. Restoration of SHP1 expression by AZA may contribute to clinical treatment for MPN patients.

Multiple Impairments in Male Reproduction 1 (mimr1), a Novel Male-Sterile Mutant of Arabidopsis thaliana, Shows Several Defects in Male Reproductive Development

Hai-Yan Chen,Yue-Feng Guan,Xue-Yong Huang,Yu-Ting Wu,Fen-Fei Wang,Ju-Fang Gao,Que Zhou,Zhong-Nan Yang,Jia-Yao Liu,Hong-Xia Zhang 한국식물학회 2012 Journal of Plant Biology Vol.55 No.3

We have characterized a new male-sterile mutant in Arabidopsis that exhibits conditional sterility but has restored fertility when drought-stressed. This mutant,multiple impairments in male reproduction 1 (mimr1),shows pleiotropic defects in both vegetative and reproductive development. Examination with dissecting and scanning electron microscopes revealed that its pollen grains are not effectively released from the anther locule after dehiscence, and anther differentiation is defective. Growth of the style and stamen filaments are also abnormal. Histological analysis demonstrated that these phenomena are due not only to a noticeably reduced extension of the stamen but also greater elongation of the pistil. Genetic analysis indicated that mimr1 is a single locus recessive nuclear mutant. The mutation can be mapped to a locus strongly linked to a 1200-kb region on Chromosome 3. Meta-analysis of expression patterning presented several candidate genes in that region. No mutants with similar phenotypes have previously been reported, suggesting that mimr1 is a novel male-sterile locus. Characterization of MIMR1 will provide further insights into the molecular basis for the development of plant reproductive organs.

Novel Hybrid Algorithm Based on Combined Particle Swarm Optimization and Imperialist Competitive Algorithm for Non-Convex CHPED Solution

Yang Yuwei,Gao Jie,Gu Hai,Imani Marani Hashem 대한전기학회 2023 Vol.18 No.1

This paper presents a novel hybrid approach by integrating the imperialist competitive algorithm (ICA) with particle swarm optimization (PSO) method to deal with the combined heat and power economic dispatch (CHPED) problem with the bounded feasible operating region. Unlike many previous methods, this approach takes the valve-point eff ects explicitly into account as an absolute sinusoidal term in the conventional polynomial cost function. The effi ciency and feasibility of the hybrid scheme are evaluated on three small (with three diff erent scenarios), medium and large test systems. The simulation results suggest the superior performance of the proposed hybrid algorithm in fi nding optimum solutions compared to other existing methods.

Novel Hybrid Algorithm Based on Combined Particle Swarm Optimization and Imperialist Competitive Algorithm for Non-Convex CHPED Solution

Yang Yuwei,Gao Jie,Gu Hai,Imani Marani Hashem 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.1

This paper presents a novel hybrid approach by integrating the imperialist competitive algorithm (ICA) with particle swarm optimization (PSO) method to deal with the combined heat and power economic dispatch (CHPED) problem with the bounded feasible operating region. Unlike many previous methods, this approach takes the valve-point effects explicitly into account as an absolute sinusoidal term in the conventional polynomial cost function. The efficiency and feasibility of the hybrid scheme are evaluated on three small (with three different scenarios), medium and large test systems. The simulation results suggest the superior performance of the proposed hybrid algorithm in finding optimum solutions compared to other existing methods.

Benzochloroporphyrin Derivative Induced Cytotoxicity and Inhibition of Tumor Recurrence During Photodynamic Therapy for Osteosarcoma

Gong, Hai-Yang,Sun, Meng-Xiong,Hu, Shuo,Tao, Ying-Ying,Gao, Bo,Li, Guo-Dong,Cai, Zheng-Dong,Yao, Jian-Zhong Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.5

Photodynamic therapy (PDT) is a promising cancer treatment modality that uses dye-sensitized photooxidation of biologic matter in target tissue. This study explored effects of the photosensitizer BCPD-17 during PDT for osteosarcoma. LM-8 osteosarcoma cells were treated with BCPD-17 and cell viability after laser irradiation was assessed in vitro with the 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide assay. The effects of BCPD-17 during PDT recurrence were then examined on tumor-bearing mice in vivo. BCPD-17 had dosedependent cytotoxic effects on LM-8 osteosarcoma cells after laser irradiation which also had energy-dependent effects on the cells. The rate of local recurrence was reduced when marginal resection of mice tumors was followed by BCPD-17-mediated PDT. Our results indicated BCPD-17-mediated PDT in combination with marginal resection of tumors is a potentially new effective treatment for osteosarcoma.

Risk identification, assessment and monitoring design of high cutting loess slope in heavy haul railway

Zhang, Qian,Gao, Yang,Zhang, Hai-xia,Xu, Fei,Li, Feng Techno-Press 2018 Structural monitoring and maintenance Vol.5 No.1

The stability of cutting slope influences the safety of railway operation, and how to identify the stability of the slope quickly and determine the rational monitoring plan is a pressing problem at present. In this study, the attribute recognition model of risk assessment for high cutting slope stability in the heavy haul railway is established based on attribute mathematics theory, followed by the consequent monitoring scheme design. Firstly, based on comprehensive analysis on the risk factors of heavy haul railway loess slope, collapsibility, tectonic feature, slope shape, rainfall, vegetation conditions, train speed are selected as the indexes of the risk assessment, and the grading criteria of each index is established. Meanwhile, the weights of the assessment indexes are determined by AHP judgment matrix. Secondly, The attribute measurement functions are given to compute attribute measurement of single index and synthetic attribute, and the attribute recognition model was used to assess the risk of a typical heavy haul railway loess slope, Finally, according to the risk assessment results, the monitoring content and method of this loess slope were determined to avoid geological disasters and ensure the security of the railway infrastructure. This attribute identification- risk assessment- monitoring design mode could provide an effective way for the risk assessment and control of heavy haul railway in the loess plateau.

Cytological, genetic, and proteomic analysis of a sesame (Sesamum indicum L.) mutant Siyl‑1 with yellow–green leaf color

Tong‑Mei Gao,Shuang‑Ling Wei,Jing Chen,Yin Wu,Feng Li,Li‑Bin Wei,Chun Li,Yan‑Juan Zeng,Yuan Tian,Dong‑Yong Wang,Hai‑Yang Zhang 한국유전학회 2020 Genes & Genomics Vol.42 No.1

Background Both photosynthetic pigments and chloroplasts in plant leaf cells play an important role in deciding on the photosynthetic capacity and efficiency in plants. Systematical investigating the regulatory mechanism of chloroplast development and chlorophyll (Chl) content variation is necessary for clarifying the photosynthesis mechanism for crops. Objective This study aims to explore the critical regulatory mechanism of leaf color mutation in a yellow–green leaf sesame mutant Siyl-1. Methods We performed the genetic analysis of the yellow-green leaf color mutation using the F2 population of the mutant Siyl-1. We compared the morphological structure of the chloroplasts, chlorophyll content of the three genotypes of the mutant F2 progeny. We performed the two-dimensional gel electrophoresis (2-DE) and compared the protein expression variation between the mutant progeny and the wild type. Results Genetic analysis indicated that there were 3 phenotypes of the F2 population of the mutant Siyl-1, i.e., YY type with light-yellow leaf color (lethal); Yy type with yellow-green leaf color, and yy type with normal green leaf color. The yellowgreen mutation was controlled by an incompletely dominant nuclear gene, Siyl-1. Compared with the wild genotype, the chloroplast number and the morphological structure in YY and Yy mutant lines varied evidently. The chlorophyll content also significantly decreased (P < 0.05). The 2-DE comparison showed that there were 98 differentially expressed proteins (DEPs) among YY, Yy, and yy lines. All the 98 DEPs were classified into 5 functional groups. Of which 82.7% DEPs proteins belonged to the photosynthesis and energy metabolism group. Conclusion The results revealed the genetic character of yellow-green leaf color mutant Siyl-1. 98 DEPs were found in YY and Yy mutant compared with the wild genotype. The regulation pathway related with the yellow leaf trait mutation in sesame was analyzed for the first time. The findings supplied the basic theoretical and gene basis for leaf color and chloroplast development mechanism in sesame.

Changes in Volatile Aroma Compounds of Traditional Chinese-type Soy Sauce During Moromi Fermentation and Heat Treatment

Xian-Li Gao,Chun Cui,Hai-Feng Zhao,Mou-Ming Zhao,Lan Yang,Jiao-Yan Ren 한국식품과학회 2010 Food Science and Biotechnology Vol.19 No.4

Considering the important influence of longtime (150 day) moromi fermentation and heat treatment on the aroma formation of traditional Chinese-type soy sauce (TCSS), volatile compounds in samples taken from different stages of moromi fermentation and heat treatment were analyzed by solid phase microextraction coupled with gas chromatography-mass spectrometry. Results showed that a total of 76 volatile compounds were identified in all the samples, and most of the volatile compounds were common. During 150 day of moromi fermentation, relative contents of acids, alcohols, aldehydes and ketones, esters,and furan(one)s along with all the sensory attributes of acidic, alcoholic, fruity, caramel-like, smoky, and malty changed greatly. Notably, relative contents of alcohols,aldehydes and ketones along with the sensory intensities of alcoholic, caramel-like, and smoky of heated sample (80℃/60 min) decreased markedly, whereas there were slight increases in relative contents of furan(one)s, phenols,and sulfur-containing compounds of it. Long-time moromi fermentation and heat treatment have significant influence on the formation and relative contents of volatile compounds in TCSS, whereas changes in volatile compounds and their relative contents of the samples were responsible for the differences in sensory attributes.