STSM : An Infrastructure for Unifying Steel Knowledge and Discovering New Knowledge

Xiaoming Zhang,Pengtao Lv,Jianxia Wang 보안공학연구지원센터 2014 International Journal of Database Theory and Appli Vol.7 No.6

There are rich data resources in materials science, but these data resources are heterogeneous in level of system, structure, syntax, and semantics. Therefore, a domain ontology is necessary and helpful for the integration of these heterogeneous data resources, and it is also one of the main tasks of materials informatics. In this paper, we propose a steel semantic model (named STSM) based on ontology and logic rules for the representation of the steel knowledge. STSM is developed with the consideration of the features of materials data and the developed process is presented. Then, we describe the content and organization of STSM which covers the basic knowledge in steel domain. Further, domain axioms and logic rules are designed to enhance the reasoning ability of STSM. STSM is built and tested in protégé, and an experimental prototype based on Jena is also developed to demonstrate the effectiveness of STSM.

The characteristic of the synonymous codon usage and phylogenetic analysis of hepatitis B virus

Xiaoming Qi,Chaojun Wei,Yonghong Li,Yu Wu,Hui Xu,Rui Guo,Yanjuan Jia,Zhenhao Li,Zhenhong Wei,Wanxia Wang,Jing Jia,Yuanting Li,Anqi Wang,Xiaoling Gao 한국유전학회 2020 Genes & Genomics Vol.42 No.7

Background Hepatitis B virus (HBV) infection is a crucial medical issue worldwide. The dependence of HBV replication on host cell machineries and their co-evolutionary interactions prompt the codon usage pattern of viral genes to translation selection and mutation pressure. Objective The evolutionary characteristics of HBV and the natural selection effects of the human genome on the codon usage characteristics were analyzed to provide a basis for medication development for HBV infection. Methods The codon usage pattern of sequences from different HBV genotypes of our isolates and reference HBV genome sequences downloaded from the National Center for Biotechnology Information (NCBI) database were analyzed by computing the relative synonymous codon usage (RSCU), nucleotide content, codon adaptation index (CAI) and the effective number of codons (ENC). Results The highest ENC values were observed in the C genotypes, followed by the B genotypes. The ENC values indicated a weak codon usage bias (CUB) in HBV genome. The number of codons differentially used between the three genotypes was markedly higher than that of similarly used codons. High CAI values indicated a good adaptability of HBV to its host. The ENC plot indicated the occurrence of mutational pressure in the three genotypes. The mean Ka/Ks ratios in the three genotypes were lower than 1, which indicated a negative selection pressure. The CAI and GC3% plot indicated the existence of CUB in the HBV genome. Conclusions Nucleotide composition, mutation bias, negative selection and mutational pressure are key factors influencing the CUB and phylogenetic diversity in HBV genotypes. The data provided here could be useful for developing drugs for HBV infection.

A Proactive Parallel Complex Event Processing Method for Large-Scale Intelligent Transportation Systems

Yongheng Wang,Xiaoming Zhang 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.11

Intelligent Transportation Systems (ITS) is one of the important application areas of the Internet of Things (IoT). The key issue is how to process the huge events generated by IoT system to support ITS. In this paper a proactive parallel complex event processing method is proposed for congestion control in large-scale ITS. A Bayesian model averaging method is used to obtain accurate predictions under different event context. Based on the predictive analysis, a parallel Markov decision processes model is designed to support decision making for large-scale ITS. An optimized parallel policy iteration algorithm is proposed based on state partition and policy decomposition. The experimental evaluations show that this method has good accuracy and scalability when used to process congestion control in large-scale ITS.

HDSW : Semantic Sensor Network System Based on Hadoop

Dongfeng Wang,Xiaoming Zhang,Hongbin Gao 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.12

번역의 정치학 - 1980년대 중국 대륙의 번역 운동

왕 샤오밍(Wang Xiaoming),박성관 (번역자) 문화과학사 2001 흔적 Vol.- No.1

Highly Sensitive Detection of Low-Abundance White Spot Syndrome Virus by a Pre-Amplification PCR Method

( Xiaoming Pan ),( Yanfang Zhang ),( Xuejiao Sha ),( Jing Wang ),( Jing Li ),( Ping Dong ),( Xingguo Liang ) 한국미생물 · 생명공학회 2017 Journal of microbiology and biotechnology Vol.27 No.3

White spot syndrome virus (WSSV) is a major threat to the shrimp farming industry and so far there is no effective therapy for it, and thus early diagnostic of WSSV is of great importance. However, at the early stage of infection, the extremely low-abundance of WSSV DNA challenges the detection sensitivity and accuracy of PCR. To effectively detect low-abundance WSSV, here we developed a pre-amplification PCR (pre-amp PCR) method to amplify trace amounts of WSSV DNA from massive background genomic DNA. Combining with normal specific PCR, 10 copies of target WSSV genes were detected from ~10¹⁰ magnitude of backgrounds. In particular, multiple target genes were able to be balanced amplified with similar efficiency due to the usage of the universal primer. The efficiency of the pre-amp PCR was validated by nested-PCR and quantitative PCR, and pre-amp PCR showed higher efficiency than nested-PCR when multiple targets were detected. The developed method is particularly suitable for the super early diagnosis of WSSV, and has potential to be applied in other low-abundance sample detection cases.

A Study on the Approach of the Structured Light Three-dimensional Measurement

Wang beiyi,,Yu xiaoyang,He baohua,Cai yingfu,Zhang jixun,Sun Xiaoming 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.11

In order to establish the 3D Temperature Field based on structure light 3D measurement and cross-correlation registration. Infrared/Visible camera calibration method and heterologous images registration method were studied. First, according to infrared camera’s characteristics, the selection of calibration templates have been studied and the calibration of the infrared camera has been accomplished on the basis of planar calibration method; then, we simplified the two-step method based on the mature principle of structure light measurement; and the visible camera was calibrated; finally, use calibrated visible cameras to form structured light measurement system, and register the infrared image and visible image in the geometrical position. Experimental results show that: the relative error of measurement system is less than 0.3%;infrared and visible image’s alignment error in geometrical position is 0.0015 mm. and measurement systems have good reconstruction results for plane and curved ,and cross-correlation method has a good effect for heterrologous images registration.

Research on Rapid Detection Method of Dry Matter Content in Raw Milk Based on Mid-infrared Spectrum

Xiaoming Li,Guicheng Huo,Yan Wang,Qingming Kong,Hongmin Sun 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.9

This paper takes raw milk as research object, and using mid-infrared spectrum analysis method rapidly tests dry matter in raw milk through establishing quantitative analysis model. First of all, researchers collect 84 kinds of raw milk which is different areas and varieties in Heilongjiang province, and classify 84 samples into calibration sets and validation sets by standard chemical testing and spectral scanning on raw milk, and calibration sets contain 64 samples, and validation sets contain 20 samples. Then, respectively selecting SPA and GA characteristic wavelength after treating by smoothing denoising method which window size is 11 points, and establishing PLS model and model demonstration. Eventually, researchers draw the conclusion that SPA wavelength selection method which value of m_max is 10 and GA wavelength selection method which value of Evaluat is 10d can effectively improve validation set model precision, but precision of the latter is higher and characteristic wavelength point reduces from 352 to 10, The calibrating determination coefficient R2 of model is 0.8092155, root mean square error (RMSEC ) is 0.1206172. Validation set determination coefficient R2 is 0.8620867, the root mean square error (RMSEC) is 0.0950656, and relative standard deviation RSD<3%. These prove that the method for rapid testing of raw milk components is feasible.

Acetate attenuates inflammasome activation through GPR43-mediated Ca2+-dependent NLRP3 ubiquitination

Xiaoming Deng,Zhengyu Jiang,Changli Wang,Na Li,Lulong Bo,Yanping Zha,Jinjun Bian,Yan Zhang,Mengda Xu 생화학분자생물학회 2019 Experimental and molecular medicine Vol.51 No.-

Acetate has been indicated to be elevated and to regulate inflammation in inflammatory and metabolic diseases. The inflammasome serves as a key component of immune homeostasis, and its dysregulation can lead to various inflammatory disorders. However, little is known about the effects of acetate on inflammasome activation and the underlying mechanism. Here, we demonstrate that acetate attenuates inflammasome activation via GPR43 in a Ca2+-dependent manner. Through binding to GPR43, acetate activates the Gq/11 subunit and subsequent phospholipase C-IP3 signaling to decrease Ca2+ mobilization. In addition, acetate activates soluble adenylyl cyclase (sAC), promotes NLRP3 inflammasome ubiquitination by PKA, and ultimately induces NLRP3 degradation through autophagy. In vivo, acetate protects mice from NLRP3 inflammasome-dependent peritonitis and LPS-induced endotoxemia. Collectively, our research demonstrates that acetate regulates the NLRP3 inflammasome via GPR43 and Ca2+-dependent mechanisms, which reveals the mechanism of metabolite-mediated NLRP3 inflammasome attenuation and highlights acetate as a possible therapeutic strategy for NLRP3 inflammasome-related diseases.

Growth of Amorphous InGaN Films on Si for Potential Photovoltaic Application

Wang Ting,Mo Guankong,Zhao Hongli,Yao Juan,Zou Zhuoliang,Fu Yuechun,Shen Xiaoming,He Huan 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2

Amorphous InGaN fi lms were deposited on p-Si(100) substrates using a self-refi ted pulsed laser deposition system with double laser light paths and two-component target. The eff ects of laser energy on the microstructure, electrical and photovoltaic performances of InGaN fi lms as well as n-InGaN/p-Si heterojunction solar cells were investigated. The results show that all the fi lms are rich in Ga and poor in In, and the (In + Ga)/N atomic ratios are greater than 1. As the laser energy increases, In composition increases gradually and reaches to a maximum of 4.6 at.%. The PL spectra indicates that the band gap of the fi lms decrease with the increase of laser energy. Meanwhile, the resistivity of InGaN fi lm is decreased in two orders of magnitude due to the increasing of carrier concentration. Under the illumination of AM 1.5G solar simulator, the maximum power conversion effi ciency of amorphous n-InGaN/p-Si heterojunction solar cells is 0.73% with an open circuit voltage of 2.41 V and short current density of 0.69 mA/cm 2 at the laser energy of 175 mJ/pulse