Tectono-magmatic evolution of the Mesozoic granodiorite and their diorite enclaves in Shulan Area, Jilin, China

Mengmeng Li,Jingdang Liu,Tianyi Liang,Chen Li,Dejun Bao 한국지질과학협의회 2022 Geosciences Journal Vol.26 No.1

The Mesozoic granodiorite and their diorite enclaves in the Shulan area have been investigated to understand the petrographic characteristics and elemental geochemistry and to further interpret the petrogenesis and paleotectonic environment. The petrography, mineral component, zircon U-Pb age, and major and trace element contents of 9 granodiorite host rock samples and 9 diorite enclave samples were analyzed. Results show host rock and the enclave both present of medium-fine subhedral and porphyritic. The main rock-forming minerals of host rocks are plagioclase (57–60%), quartz (25–30%), and K-feldspar (6–13%), whereas the main rock-forming minerals of enclaves are plagioclase (65–83%), amphibole (3–20%), and biotite (5–25%). Zircon U-Pb dating results show that the weighted-mean 206Pb/238U ages of the granodiorite host rock and the diorite enclave are 168.1 ± 1.6 Ma and 181.0 ± 1.0 Ma, respectively. The SiO2 contents of the host rocks and enclaves are 61.95–64.86% and 51.12–59.32%, respectively. Their K2O/Na2O ratios are 0.51–1.24 and 0.41–1.02; aluminum saturation index A/CNK [Al2O3/(CaO + Na2O + K2O) molar ratio] are between 0.80–1.14 and 0.70–0.98 and A/NK [Al2O3/(Na2O + K2O) molar ratio] are 1.48–1.97 and 1.47–2.11, indicating a medium-high-K calc-alkaline series and a metaluminous series. The chondrite-normalized rare earth element (REE) patterns of both host rock and enclave samples show a right-dip model, but the Eu ratios of the host rock samples show weak negative anomalies, whereas the Eu ratios of the enclave samples show distinctive negative anomalies. The δEu [δEu = EuN/sqrt(SmN × GdN)] averages of both host rock and enclave samples are 0.75 and 0.63, respectively. The primary mantle normalized trace element patterns shows the enrichment of Rb, Th, U, La, Zr, Hf and Li and the depletion of Nb and Sm in the granodiorite host rocks, whereas enriched Rb, U, La, Pr, Nd, Zr, Hf, and Li and depleting Ba, Nb, Sr, Sm, and Eu are presented in the diorite enclaves. The REE, trace element patterns and the other geochemical indices indicate both granodiorite and diorite were derived from partial melting of pre-existent basaltic materials with a minor contribution of mantle materials. Host rocks and enclaves were formed in the same subduction-related paleotectonic environment, but in different stages of magma evolution. The subduction triggered the delamination of the lithosphere, causing upwelling of the asthenosphere and partial melting of the crust, forming the magmatic precursors of both kinds of rocks.

Development, characterization, genetic diversity and cross-species/genera transferability of ILP markers in rubber tree (Hevea brasiliensis)

Dejun Li,Zhihui Xia,Zhi Deng,Xianghong Liu,Fuying Feng 한국유전학회 2013 Genes & Genomics Vol.35 No.6

To construct a linkage map enriched with tapping panel dryness (TPD)-related markers, we firstly utilized rubber tree ESTs associated with TPD to develop intron length polymorphism (ILP) markers. In this study,52 new ILP markers were further developed. Together with the ILP markers previously reported, 102 ILP markers developed from TPD-related ESTs were analyzed within 39 Hevea germplasm in detail. The PCR success rate and polymorphism rate of ILP markers was 97.06 and 61.62 %,respectively. The results based on PCR amplification and sequence analyses provided the evidences on cross-species/genera transferability of rubber tree ILP markers. The average polymorphic information content (PIC) values of 39 Hevea germplasm were about 0.1719, indicating that the genetic base of Hevea germplasm selected in this study was very narrow. Among 39 Hevea germplasm, the PIC value of wild rubber tree accessions was the highest, followed by Hevea species and cultivated rubber tree clones. Based on the similarity coefficient of ILP markers, 39 Hevea germplasm were divided into three groups including cultivated clones, wild accessions and Hevea species, suggesting that the classification was generally related to the characterization of Hevea germplasm. The ILP markers developed in this study further enriches the number of molecular marker in rubber tree, and the ILP markers will have a wide application in DNA fingerprinting, genetic diversity, marker-assisted selection and genetic mapping, etc. Moreover,the ILP markers transferred cross-euphorbiaceae family might be utilized in cassava, castor bean and physic nut.

Rapid Detection of Cotton Content Based on Near Infrared Spectroscopy Technology

Li Dejun,Xing Chigang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6

The main research object in this paper is cotton-PET blended fabric. The study hopes that the content of cotton can be accurately obtained from the data of only a few near-infrared spectral point. In the research we choose spectra data within 1400nm-2000nm to establish the calibration model. At the time of modeling, we use the method which combine stepwise regression and normalization. The result indicates that the method can not only reduce the influence of fabric structural difference on quantitative analysis, but also achieve a relative accurate analysis of cotton content with the presence of a small amount of wavelength data.

Research on Hybrid Distributed Computing System Based on Embedded System

Li Zhe,Mu Dejun,Zhang Tianfan,Guo Lantian 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.11

With the rapid development of embedded system and Internet of Things technology, embedded system and smart device based on embedded system is collecting huge amounts of data, and corresponding data processing and application method have been greatly changed, different from the traditional big data and cloud computing focus , local processing and application become important trend. This paper tries to take Cortex-A7 as the main system with the stronger ability , Hadoop distributed computing system is deployed in embedded system and could meet the demand of the future data process with directly managing the resource-constrained sensors, embedded systems and smart devices . Successfully deploying over 20GB data in the test, the system is verified that it can complete most of the functions of data processing cluster , and can also manage the collected sensors and embedded system terminal ,with better research and market promotional value.

Stochastic Stability of the Improved Maximum Correntropy Kalman Filter Against Non-Gaussian Noises

Xuehua Zhao,Dejun Mu,Zhaohui Gao,Jiahao Zhang,Guo Li 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.3

In this paper, an improved maximum correntropy Kalman filter (IMCKF) algorithm is proposed to enhance the estimation accuracy of conventional correntropy based Kalman filter against the non-Gaussian noise. Toincrease the proposed algorithm estimation precision, a novel cost function is introduced based on weighted factors. Then the IMCKF algorithm is put forward and derived in detail. Furthermore, the stochastic boundness of theestimation error is discussed to illustrate the IMCKF algorithm’s stability. Finally, simulation results demonstratethat the proposed IMCKF algorithm increases the estimation precision and robustness performance in contrast tothe conventional Gaussian Sum Kalman filter and maximum correntropy Kalman filter.

Identification and evaluation of reference genes for gene expression analysis in the weevil pest Pagiophloeus tsushimanus using RT-qPCR

Chen Cong,Li Shouyin,Zhu Han,Fan Binqi,Wang Yan,Hao Dejun 한국응용곤충학회 2020 Journal of Asia-Pacific Entomology Vol.23 No.2

Pagiophloeus tsushimanus is a newly and specialist wood-boring beetle of Cinnamomum camphora in China. RTqPCR is an accurate quantitative method to quantify target genes expression, which relies on suitable reference genes for data normalization. Reference genes must to be stably expressed under specific experimental conditions. No suitable reference genes of P. tsushimanus have been reported so far. Therefore, it is necessary to identify and evaluate suitable reference genes for the study of functional genes of this pest. In this research, the expression stability of eight candidate reference genes (RPS3, 18S rRNA, GAPDH, TBP, RPL10, UBQ, GST, and RPS27A) were systematically evaluated in P. tsushimanus by five algorithms (geNorm, BestKeeper, NormFinder, delta C q , and RefFinder) under different developmental stages, various tissues, and insects reared on different plants, and validated by the olfactory key gene odorant binding protein 33 (PtsuOBP33). The results showed that three stable reference genes combination were necessary for quantitative analysis of target gene. RPS3, RPL10, and UBQ were the optimal reference genes combination for gene expression analysis of developmental stages, while RPL10, RPS3, and 18S rRNA were recommended for different tissues, and 18S rRNA, TBP, and RPS3 were recommended for insects reared on different plants. The results indicated that suitable reference genes should be screened out for gene expression analysis under different conditions. This paper systematically analyzed and obtained suitable reference genes in P. tsushimanus for the first time, which would contribute to the functional analysis of genes and the in-depth mining of genetic resources in it.

Enhanced adsorption capacity of dyes by surfactant-modified layered double hydroxides from aqueous solution

Bei Zhang,Zhihao Dong,Dejun Sun,Tao Wu,Yujiang Li 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.49 No.-

The utilization of organo-modified layered double hydroxides with anionic surfactants (organo-LDHs) asadsorbents were successfully carried out to remove various synthetic dyes from aqueous solution. Intercalation of anionic surfactants changed the surface properties of MgAl-LDH from hydrophilic tohydrophobic, and a charge inversion occurred with increasing the length of surfactant chains. Suchchanges in the surface properties of the organo-LDHs were important. Experimental data shown that theSNS-modified MgAl-LDH could be used as a broad-spectrum adsorbent to effectively remove anionic,non-ionic, and cationic dyes from aqueous solution.

Service Clustering by Leveraging a Context-Sensitive Approach

Lantian Guo,Tao Yang,Huixiang Zhang,Dejun Mu,Zhe Li,Yang Li 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.12

Service technology has gained increasing popularity in recent communication software applied in many domains. With a growing number of services that share same or similar functionalities, clustering services help improve both service composition and mashup creation. To achieve service clustering, utilizing probabilistic topic model to extract and characterize the service description documents as corresponding topics is an available scheme. However, unlike short text in social networks, the descriptions of published services possess higher dimensionality and sparse functional information. With traditional LDA (Latent Dirichlet Allocation) model to implement topic extraction makes topics unclear. To address that challenge, we conduct a context sensitive approach to generate context sensitive vector for merging the words with similar context before loading to LDA model, referred to as CV-LDA (Context Vector LDA). Through F1-Measure of clustering and topic perplexity analysis in the real-world dataset, it is shown that the proposed approach outperforms traditional LDA model in service clustering.

Superwetting TiO2-decorated single-walled carbon nanotube composite membrane for highly efficient oil-in-water emulsion separation

Yahong Sun,Ruiguang Zhao,Quanyong Wang,Yuanyuan Zheng,Gongrang Li,Dejun Sun,Tao Wu,Yujiang Li 한국화학공학회 2020 Korean Journal of Chemical Engineering Vol.37 No.11

With the advantages of one-dimensional hollow structure, high porosity and prominent mechanical strength, single-walled carbon nanotubes (SWCNTs) have been extensively utilized to improve conventional filtration membranes for oil/water separation. Their intrinsic hydrophobicity, however, adversely affects the anti-fouling performance of the SWCNT membrane. Herein, a super-hydrophilic and underwater super-oleophobic hierarchical modified membrane with enhanced permeability and anti-fouling property was fabricated using the vacuum-assisted filtration technique by synergistically assembling SWCNTs and titanium dioxide (TiO2) nanoparticles on a cellulose acetate membrane. Highly dispersed SWCNTs were obtained by carboxylating treatment of agglomerate SWCNTs. The controlled stacking of SWCNTs fibers and a controllable amount of TiO2 rendered a modified membrane with high porosity and hierarchical structure, leading to an ultrahigh water flux up to 4,777.07 L·m2·h1, and excellent separation performance with efficiency greater than 99.47%. Most importantly, the membrane exhibited excellent anti-fouling ability during ten cycles with the aid of the super-wetting property of TiO2 nanoparticles. The results indicated that coating TiO2 nanoparticles on SWCNTs modified the surface topography of the obtained SWCNT/TiO2 membrane, which improved hydrophilicity, permeability and anti-fouling property, manifesting attractive potential applications in oil/water separation.

Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19

Zheng Yingyan,Xiao Anling,Yu Xiangrong,Zhao Yajing,Lu Yiping,Li Xuanxuan,Mei Nan,She Dejun,Wang Dongdong,Geng Daoying,Yin Bo 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.8

Objective: The purpose of our study was to investigate the predictive abilities of clinical and computed tomography (CT) features for outcome prediction in patients with coronavirus disease (COVID-19). Materials and Methods: The clinical and CT data of 238 patients with laboratory-confirmed COVID-19 in our two hospitals were retrospectively analyzed. One hundred sixty-six patients (103 males; age 43.8 ± 12.3 years) were allocated in the training cohort and 72 patients (38 males; age 45.1 ± 15.8 years) from another independent hospital were assigned in the validation cohort. The primary composite endpoint was admission to an intensive care unit, use of mechanical ventilation, or death. Univariate and multivariate Cox proportional hazard analyses were performed to identify independent predictors. A nomogram was constructed based on the combination of clinical and CT features, and its prognostic performance was externally tested in the validation group. The predictive value of the combined model was compared with models built on the clinical and radiological attributes alone. Results: Overall, 35 infected patients (21.1%) in the training cohort and 10 patients (13.9%) in the validation cohort experienced adverse outcomes. Underlying comorbidity (hazard ratio [HR], 3.35; 95% confidence interval [CI], 1.67–6.71; p < 0.001), lymphocyte count (HR, 0.12; 95% CI, 0.04–0.38; p < 0.001) and crazy-paving sign (HR, 2.15; 95% CI, 1.03–4.48; p = 0.042) were the independent factors. The nomogram displayed a concordance index (C-index) of 0.82 (95% CI, 0.76–0.88), and its prognostic value was confirmed in the validation cohort with a C-index of 0.89 (95% CI, 0.82–0.96). The combined model provided the best performance over the clinical or radiological model (p < 0.050). Conclusion: Underlying comorbidity, lymphocyte count and crazy-paving sign were independent predictors of adverse outcomes. The prognostic nomogram based on the combination of clinical and CT features could be a useful tool for predicting adverse outcomes of patients with COVID-19.