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Zhang, Feng-Jun,Zhang, Zhuo,Xie, Fa-Zhi,Xuan, Han,Xia, Hong-Chen,Zhu, Lei,Oh, Won-Chun The Korean Ceramic Society 2014 한국세라믹학회지 Vol.51 No.6
Magnetic-graphene nanosheets have been synthesized via a simple effective chemical precipitation method followed by heat treatment. The composite nanosheets are super paramagnetic at room temperature and can be separated by an external magnetic field. The prepared magnetic-graphene nanosheets were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), Raman spectroscopy, and BET surface area analysis. The results demonstrated the successful attachment of iron oxide nanoparticles to graphene nanosheets. It was found that the attached nanoparticles were mainly $Fe_3O_4$. The magnetic-graphene nanosheets showed near complete methyl orange removal within 10 mintues and would be practically usable for methyl orange separation from water.
Critical effects of long non-coding RNA on fibrosis diseases
Yue Zhang,Gang Luo,Yi Zhang,Mengjie Zhang,Jian Zhou,Weiwu Gao,Xiuyun Xuan,Xia Yang,Di Yang,Zhiqiang Tian,Bing Ni,Jun Tang 생화학분자생물학회 2018 Experimental and molecular medicine Vol.50 No.-
The expression or dysfunction of long non-coding RNAs (lncRNAs) is closely related to various hereditary diseases, autoimmune diseases, metabolic diseases and tumors. LncRNAs were also recently recognized as functional regulators of fibrosis, which is a secondary process in many of these diseases and a primary pathology in fibrosis diseases. We review the latest findings on lncRNAs in fibrosis diseases of the liver, myocardium, kidney, lung and peritoneum. We also discuss the potential of diseaserelated lncRNAs as therapeutic targets for the clinical treatment of human fibrosis diseases.
Feng-Jun Zhang,Zhuo Zhang,Han Xuan,Hong-Chen Xia,Lei Zhu,오원춘,Fazhi Xie 한국세라믹학회 2014 한국세라믹학회지 Vol.51 No.6
Magnetic-graphene nanosheets have been synthesized via a simple effective chemical precipitation method followed by heattreatment. The composite nanosheets are super paramagnetic at room temperature and can be separated by an external magneticfield. The prepared magnetic-graphene nanosheets were characterized by X-ray diffraction (XRD), scanning electron microscopy(SEM), transmission electron microscopy (TEM), Raman spectroscopy, and BET surface area analysis. The resultsdemonstrated the successful attachment of iron oxide nanoparticles to graphene nanosheets. It was found that the attachednanoparticles were mainly Fe3O4. The magnetic-graphene nanosheets showed near complete methyl orange removal within 10mintues and would be practically usable for methyl orange separation from water.
Zhang, Yun-Xia,Abliz, Guzalnur,Ye, Wei-Jun,Mutalipu, Zuohelaguli,Li, Xiao-Wen,Wang, Hai-Qin,Buranjiang, Gulimire,Upur, Halmurat Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.2
Objective: To investigate the effects of abnormal Savda Munziq (ASMq) total phenolics combined with cisplatin and docetaxel on the Hela cell growth. Methods: In vivo cultured Hela cells were treated with cisplatin, docetaxel, total phenolics, cisplatin+total phenolics or docetaxel+total phenolics. MTT was performed to assess inhibition of cell proliferation, flow cytometry to detect apoptosis, and semi-quantitative RT-PCR to test for survivin and Bcl-2 expression. Results: The total phenolics, cisplatin and docetaxel had significant inhibitory and apoptosis-promoting effects on Hela cells (P<0.05), with the early apoptotic rates of $12.8{\pm}0.70%$, $18.9{\pm}3.79%$ and $15.8{\pm}3.8%$; the total phenolics, cisplatin and docetaxel significantly decreased the expression of Bcl-2 and survivin (all P<0.01), especially when used in combination. Conclusion: ASMq total phenolics, combined with cisplatin and docetaxel, could promote the apoptosis of Hela cells possibly through reducing the expression of Bcl-2 and survivin.
Zhang Jun Qing,Duan Jin Ao,Wang Yong,Li Yong Hui,Lai Wei Yong,Li Hai Long,Pei Li Xia 대한약학회 2012 Archives of Pharmacal Research Vol.35 No.12
Chemical investigation of the fruits of Alpinia oxyphylla led to an isolation of the two new natural products, 9-hydroxy epinootkatol (1) and (S)-2-pentanol-2-O-β-D-glucopyranoside (2), in addition to the nine known compounds, pinocembrin (3), tectochrysin (4), izalpinin (5), nookatone (6), yakuchinone A (7), protocatechuic acid (8), β-sitosterol (9), daucosterol (10) and β-sitosterol palmitate (11). Their structures were elucidated on the basis of physicochemical constants and NMR spectral data analysis. The effects of the isolated components on nitric oxide production in LPS-induced RAW 264.7 macrophages were examined. The two new natural compounds showed inhibitory activities with IC50 values of 21.8 and 32.8 μg/mL, respectively.
Zhang, Jun,Gao, Yaozong,Wang, Li,Tang, Zhen,Xia, James J.,Shen, Dinggang IEEE 2016 IEEE Transactions on Biomedical Engineering Vol.63 No.9
<P>Objective: The goal of this paper is to automatically digitize craniomaxillofacial (CMF) landmarks efficiently and accurately from cone-beam computed tomography (CBCT) images, by addressing the challenge caused by large morphological variations across patients and image artifacts of CBCT images. Methods: We propose a segmentation-guided partially-joint regression forest (S-PRF) model to automatically digitize CMF landmarks. In this model, a regression voting strategy is first adopted to localize each landmark by aggregating evidences from context locations, thus potentially relieving the problem caused by image artifacts near the landmark. Second, CBCT image segmentation is utilized to remove uninformative voxels caused by morphological variations across patients. Third, a partially-joint model is further proposed to separately localize landmarks based on the coherence of landmark positions to improve the digitization reliability. In addition, we propose a fast vector quantization method to extract high-level multiscale statistical features to describe a voxel's appearance, which has low dimensionality, high efficiency, and is also invariant to the local inhomogeneity caused by artifacts. Results: Mean digitization errors for 15 landmarks, in comparison to the ground truth, are all less than $2$ mm. Conclusion: Our model has addressed challenges of both interpatient morphological variations and imaging artifacts. Experiments on a CBCT dataset show that our approach achieves clinically acceptable accuracy for landmark digitalization. Significance: Our automatic landmark digitization method can be used clinically to reduce the labor cost and also improve digitalization consistency.</P>