Expression analysis of HSP70 gene in response to environmental stress in Spodoptera frugiperda (Lepidoptera: Noctuidae)

Zhou Lv,Meng Jian-Yu,Ruan Hong-Yun,Zhang Chang-Yu 한국응용곤충학회 2023 Journal of Asia-Pacific Entomology Vol.26 No.3

This study aimed to investigate the role of heat shock proteins in the response of Spodoptera frugiperda to environmental stress. Four Hsp70 genes of S. frugiperda were cloned using reverse transcription–polymerase chain reaction (RT-PCR) and their sequence characteristics were characterized using bioinformatics analysis. RTqPCR was used to detect Hsp70 at different developmental stages, in different tissues, and under varying environmental stresses (45 ◦ C, 36 ◦ C, 4 ◦ C, ultraviolet-A, and emamectin benzoate) to quantify the relative expression of this gene. Four Hsp70 genes were obtained by cloning, namely SfHsp70-1, SfHsp70-2, SfHsp70-3, and SfHsp70-like, which encode 653, 686, 638, and 627 amino acids, respectively, and all contain the three Hsp70 family signature sequences. Neighbor-joining (NJ) method was used to construct phylogenetic tree, and four Hsp70 of the S. frugiperda species were clustered with Lepidoptera. The results of real-time PCR showed that the SfHsp70s gene was specifically expressed in different tissues at different developmental stages and its expression increased considerably under nearly all environmental stresses in adults. This study shows that the SfHsp70 gene contributes to a large extent to the resistance of S. frugiperda to environmental stress.

Three partial mitochondrial genomes from Ips (Coleoptera: Curculionidae, Scolytinae) contribute to the phylogeny of Scolytinae

Lv Fei,Yang Wen-Yan,Chen Zhi-Teng,Xu Qiang,Zhou Yi-Jing,Du Yu-Zhou 한국응용곤충학회 2017 Journal of Asia-Pacific Entomology Vol.20 No.3

Partial mitogenomes of three species from the genus Ips (Coleoptera; Curculionidae), Ips grandicollis, Ips sexdentatus and Ips typographus were sequenced and analyzed. The three mitogenomes are 11,553-bp with 28 genes, 13,135-bp with 30 genes, and 13,502-bp with 30 genes, respectively. Their gene arrangements are consistent with that of Drosophila yakuba. The three Ips species shared the conserved overlapping sequence motif “ATGATAG” between ATP8 and ATP6, using TTG as start codon for ND1 genes and TAG as stop codon for ATP8 genes. All tRNA genes could fold into typical cloverleaf structures except for tRNASer1. Three tRNASer1 genes lack the DHU arm and instead formed the D-loop. The phylogenetic analyses indicate that Scolytinae is paraphyly and belongs to Curculionidae. The Eurasian I. sexdentatus is sister group to the North American I. grandicollis and the Eurasian I. typographus. The phylogeny of Ips based on COI genes indicates that Ips is paraphyly, Ips perroti and Orthotomicus suturalis are sister groups and Ips spinifer is grouped with (Orthotomicus chaokhao + Orthotomicus erosus).

Ontology-Based Exchange of Product Data Semantics between CAD and CAE

Qinyi Ma,Yajun Wang,Yan Lv,Xin Jin,Maojun Zhou 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.12

The interoperation of various applications will need a representation that goes beyond the traditional geometry-based one, which is inadequate for capturing semantic information. This paper proposes an approach to annotate the CAD models based on ontology with the aim of making the design intent understood by computer and applied in engineering analysis, such as FEA. The paper presents the design domain ontology and FEA domain ontology, and applies feature technologies and the semantic Web to complete annotation. Semantic markup can embed the engineering semantic information such as product function, and design principle into the CAD geometry data through annotating, it makes the analyzers reuse design ideas quickly and conveniently to increase efficiency. The semantic file is proposed to support an exchange of product data semantics between CAD and CAE. The main idea of the approach is presented and key technologies are elaborated, including the creation of the FEA solution template, and the matching algorithm between semantic markup file and FEA template file. Finally, the feasibility and effectiveness of the approach is empirically validated by a case study.

Development, Validation and Comparison of Artificial Neural Network and Logistic Regression Models Predicting Eosinophilic Chronic Rhinosinusitis With Nasal Polyps

Zhou Huiqin,Fan Wenjun,Qin Danxue,Liu Peiqiang,Gao Ziang,Lv Hao,Zhang Wei,Xiang Rong,Xu Yu 대한천식알레르기학회 2023 Allergy, Asthma & Immunology Research Vol.15 No.1

Purpose: Chronic rhinosinusitis with nasal polyps (CRSwNP) can be classified into eosinophilic CRSwNP (eCRSwNP) and non-eosinophilic CRSwNP (non-eCRSwNP) by tissue biopsy, which is difficult to perform preoperatively. Clinical biomarkers have predictive value for the classification of CRSwNP. We aimed to evaluate the application of artificial neural network (ANN) modeling in distinguishing different endotypes of CRSwNP based on clinical biomarkers. Methods: Clinical parameters were collected from 109 CRSwNP patients, and their predictive ability was analyzed. ANN and logistic regression (LR) models were developed in the training group (72 patients) and further tested in the test group (37 patients). The output variable was the diagnosis of eCRSwNP, defined as tissue eosinophil count > 10 per high-power field. The receiver operating characteristics curve was used to assess model performance. Results: A total of 15 clinical features from 60 healthy controls, 60 eCRSwNP and 49 non-eCRSwNP were selected as candidate predictors. Nasal nitric oxide levels, peripheral eosinophil absolute count, total immunoglobulin E, and ratio of bilateral computed tomography scores for the ethmoid sinus and maxillary sinus were identified as important features for modeling. Two ANN models based on 4 and 15 clinical features were developed to predict eCRSwNP, which showed better performance, with the area under the receiver operator characteristics significantly higher than those from the respective LR models (0.976 vs. 0.902, P = 0.048; 0.970 vs. 0.845, P = 0.011). All ANN models had better fits than single variable prediction models (all P < 0.05), and ANN model 1 had the best predictive performance among all models. Conclusions: Machine learning models assist clinicians in predicting endotypes of nasal polyps before invasive detection. The ANN model has the potential to predict eCRSwNP with high sensitivity and specificity, and is superior to the LR model. ANNs are valuable for optimizing personalized patient management.

Investigation of Rise Time and Overshoot in Pulse Transformers with Different Topologies for Electromagnetic Trigger of SCRs

Lv, Gang,Zeng, Dihui,Zhou, Tong The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.3

This study investigates the influences of different core parameters on the dynamic performances, such as rise time and overshoot, in pulse transformers for the triggering circuit of SCRs. First, a simplified transformer equivalent circuit, which emerges from a standard transformer equivalent circuit, is developed to analyze the step response. Second, the relations between the dynamic performances and the parasitic parameters are calculated by the simplified equivalent circuit. Third, the variations of rise time and overshoot, which are vital to the stability of triggering SCRs, with different core parameters, such as mechanic dimensions and topologies, are comprehensively investigated by analyzing the parasitic parameters. Finally, prototype transformers are fabricated to experimentally validate the analysis. The presented method can practically instruct the design of a pulse transformer for triggering SCRs.

Construction of a Protein-Protein Interaction Network for Chronic Myelocytic Leukemia and Pathway Prediction of Molecular Complexes

Zhou, Chao,Teng, Wen-Jing,Yang, Jing,Hu, Zhen-Bo,Wang, Cong-Cong,Qin, Bao-Ning,Lv, Qing-Liang,Liu, Ze-Wang,Sun, Chang-Gang Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13

Background: Chronic myelocytic leukemia is a disease that threatens both adults and children. Great progress has been achieved in treatment but protein-protein interaction networks underlining chronic myelocytic leukemia are less known. Objective: To develop a protein-protein interaction network for chronic myelocytic leukemia based on gene expression and to predict biological pathways underlying molecular complexes in the network. Materials and Methods: Genes involved in chronic myelocytic leukemia were selected from OMIM database. Literature mining was performed by Agilent Literature Search plugin and a protein-protein interaction network of chronic myelocytic leukemia was established by Cytoscape. The molecular complexes in the network were detected by Clusterviz plugin and pathway enrichment of molecular complexes were performed by DAVID online. Results and Discussion: There are seventy-nine chronic myelocytic leukemia genes in the Mendelian Inheritance In Man Database. The protein-protein interaction network of chronic myelocytic leukemia contained 638 nodes, 1830 edges and perhaps 5 molecular complexes. Among them, complex 1 is involved in pathways that are related to cytokine secretion, cytokine-receptor binding, cytokine receptor signaling, while complex 3 is related to biological behavior of tumors which can provide the bioinformatic foundation for further understanding the mechanisms of chronic myelocytic leukemia.

Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke

Zhou Yiran,Wu Di,Yan Su,Xie Yan,Zhang Shun,Lv Wenzhi,Qin Yuanyuan,Liu Yufei,Liu Chengxia,Lu Jun,Li Jia,Zhu Hongquan,Liu Weiyin Vivian,Liu Huan,Zhang Guiling,Zhu Wenzhen 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.8

Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion: The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcome

Frequency-Code Domain Contention in Multi-antenna Multicarrier Wireless Networks

Lv, Shaohe,Zhang, Yiwei,Li, Wen,Lu, Yong,Dong, Xuan,Wang, Xiaodong,Zhou, Xingming The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.2

Coordination among users is an inevitable but time-consuming operation in wireless networks. It severely limit the system performance when the data rate is high. We present FC-MAC, a novel MAC protocol that can complete a contention within one contention slot over a joint frequency-code domain. When a node takes part in the contention, it generates randomly a contention vector (CV), which is a binary sequence of length equal to the number of available orthogonal frequency division multiplexing (OFDM) subcarriers. In FC-MAC, different user is assigned with a distinct signature (i.e., PN sequence). A node sends the signature at specific subcarriers and uses the sequence of the ON/OFF states of all subcarriers to indicate the chosen CV. Meanwhile, every node uses the redundant antennas to detect the CVs of other nodes. The node with the minimum CV becomes the winner. The experimental results show that, the collision probability of FC-MAC is as low as 0.05% when the network has 100 nodes. In comparison with IEEE 802.11, contention time is reduced by 50-80% and the throughput gain is up to 200%.

Local mechanical properties of corrosion layers formed on T91 and SS316L steels after exposure to static liquid LBE at 500 °C for 1000 h obtained by nano-indentation

Zhou Zhikun,Du Juan,Tian Chenwen,Peng Xuhao,Wu Yabo,Lv Xi,Zhang Yixiong,Chen Ziguang 한국원자력학회 2024 Nuclear Engineering and Technology Vol.56 No.8

Static corrosion tests in LBE under oxygen-saturated and –depleted conditions at 500 ◦C for 1000 h were conducted to investigate the corrosion-induced diffusion layers on T91 and SS316L steels subject to dissolution and oxidation corrosion. Following nano-indentation experiments examined the variations of local mechanical properties within the corrosion layers. Under the present conditions, T91 steel showed better resistance to dissolution corrosion while higher susceptibility to oxidation corrosion against SS316L. For both steels, nanoindentation results showed a gradual decrease in mechanical properties from steel matrix to the corrosion side after dissolution corrosion. When subject to oxidation corrosion, the oxide scale formed on T91 steel showed lower Er-modulus and enhanced hardness in comparison with those of the steel matrix. An obvious decrease in both modulus and hardness was found at the interface between steel matrix and oxide scale.

Dynamic Threshold Switching Behavior of Ge[sub 2]Sb[sub 2]Te[sub 5] and Sb-doped Ge[sub 2]Sb[sub 2]Te[sub 5] Thin Films Using Scanning Electrical Nanoprobe

Zhou, P.,Shin, Y. C.,Choi, B. J.,Choi, S.,Hwang, C. S.,Lin, Y. Y.,Lv, H. B.,Yan, X. J.,Tang, T. A.,Chen, L. Y.,Chen, B. M. The Electrochemical Society 2007 Electrochemical and solid-state letters Vol.10 No.9