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- 저자 : Liu Xing (검색결과 435 건)
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The Effect of Mixed Amino Acids on Nitrate Uptake and Nitrate Assimilation in Leafy Radish
Liu, Xing-Quan,Kim, Young-Sun,Lee, Kyu-Seung The Korean Society of Environmental Agriculture 2005 한국환경농학회지 Vol.24 No.3
The objective of the present work was to determine the corresponding uptake and assimilation of ${NO_3}^-$ in roots and shoots of leafy radish by applying of mixed amino acids (MAA). The amino acids used in this experiment were alanine (Ala), ${\beta}-alanine\;({\beta}-Ala)$, aspartic acid (Asp), asparagines (Asn), glutamic acid (Glu), glutamine (Gln), and glycine (Gly). Leafy radish was grown by conventional fertilization with macro- and micronutrients under controlled conditions. The 15-day-old seedlings were treated 0, 0.3 and 3.0 mM of MAA containing 5 mM ${NO_3}^-$ in growth medium. Nitrate uptake was determined by following ${NO_3}^-$ depletion from the uptake solution. The activity of the enzymes related to the process of ${NO_3}^-$ reduction (NR: nitrate reductase; NiR: nitrite reductase; GS: glutamine synthetase) and the content of ${NO_2}^-\;and\;{ND_3}^-$ were analyzed in shoots and roots. The results of this study showed that ${NO_3}^-$ uptake was inhibited 38% with treatment of 0.3 mM of MAA. However, there was more than three times increase of N03- uptake in 3.0 mM MAA. In addition, the enzymatic activities were positively affected by the high MAA rate. Finally, the ${NO_3}^-$ content was increased slightly both in shoots and roots of leafy radish by MAA treatments.
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A high-efficiency simulation method of wind field and its application on transmission line
Xing Fu,Xing-Heng Zhang,Hong-Nan Li,Gang Li,Hui-Juan Liu 한국풍공학회 2021 Wind and Structures, An International Journal (WAS Vol.33 No.4
Generally, the fluctuating wind is simplified as several independent one-dimensional multivariate stationary Gaussian processes in simulating a natural wind field. The correlation in the lateral, longitudinal and vertical directions should all be considered in the simulation of longitudinal wind field for the large-span spatial structures. In fact, this type of structure has lots of simulation points. The calculation amount of wind field simulation by the harmonic superposition method depends on the scale of cross-spectral density matrix, which is directly related to the number of simulated points, leading to a low efficiency when generating the time-varying wind speed. This paper innovatively proposes a high-efficiency simulation method for the longitudinal wind field based on Taylor’s hypothesis. Subsequently, the effectiveness of the proposed wind field method was verified by the numerical simulation. Finally, the dynamic responses of a transmission tower-line system under the wind loadings generated with the new method and traditional method are calculated and compared. The percentages difference of the mean and maximum axial force at the main tower members are less than 0.02% and 1%, respectively, indicating the effectiveness of the proposed time delay method. The results also show that the proposed simulation method of wind field can not only ensure the simulation accuracy, but also significantly improve the efficiency of wind speed generation, which is suitable for the wind load simulation of large-span spatial structures.
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Use of deep learning in nano image processing through the CNN model
Xing, Lumin,Liu, Wenjian,Liu, Xiaoliang,Li, Xin,Wang, Han Techno-Press 2022 Advances in nano research Vol.12 No.2
Deep learning is another field of artificial intelligence (AI) utilized for computer aided diagnosis (CAD) and image processing in scientific research. Considering numerous mechanical repetitive tasks, reading image slices need time and improper with geographical limits, so the counting of image information is hard due to its strong subjectivity that raise the error ratio in misdiagnosis. Regarding the highest mortality rate of Lung cancer, there is a need for biopsy for determining its class for additional treatment. Deep learning has recently given strong tools in diagnose of lung cancer and making therapeutic regimen. However, identifying the pathological lung cancer's class by CT images in beginning phase because of the absence of powerful AI models and public training data set is difficult. Convolutional Neural Network (CNN) was proposed with its essential function in recognizing the pathological CT images. 472 patients subjected to staging FDG-PET/CT were selected in 2 months prior to surgery or biopsy. CNN was developed and showed the accuracy of 87%, 69%, and 69% in training, validation, and test sets, respectively, for T1-T2 and T3-T4 lung cancer classification. Subsequently, CNN (or deep learning) could improve the CT images' data set, indicating that the application of classifiers is adequate to accomplish better exactness in distinguishing pathological CT images that performs better than few deep learning models, such as ResNet-34, Alex Net, and Dense Net with or without Soft max weights.
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Liu, Wei,Fang, Yong,Wang, Xiao-Tong,Liu, Ju,Dan, Xing,Sun, Lu-Lu Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.17
Background: 5-Fluorouracil (5-FU) is the most commonly used drug in colon cancer therapy. However, despite impressive clinical responses initially, development of drug resistance to 5-Fu in human tumor cells is the primary cause of failure of chemotherapy. In this study, we established a 5-Fu-resistant human colon cancer cell line for comparative chemosensitivity studies. Materials and Methods: Real time PCR and Western blotting were used to determine gene expression levels. Cell viability was measured by MTT assay. Glucose uptake was assess using an Amplex Red Glucose/Glucose Oxidase assay kit. Results: We found that 5-Fu resistance was associated with the overexpression of Glut1 in colon cancer cells. 5-Fu treatment at low toxic concentration induced Glut1 expression. At the same time, upregulation of Glut1 was detected in 5-Fu resistant cells when compared with their parental cells. Importantly, inhibition of Glut1 by a specific inhibitor, WZB117, significantly increased the sensitivity of 5-Fu resistant cells to the drug. Conclusions: This study provides novel information for the future development of targeted therapies for the treatment of chemo-resistant colon cancer patients. In particular it demonstrated that Glut1 inhibitors such as WZB117 may be considered an additional treatment options for patients with 5-Fu resistant colon cancers.
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Liu, Xing,Sheng, Xia,Lee, Jong Keun,Kessler, Michael R. WILEY-VCH Verlag 2009 Macromolecular materials and engineering Vol.294 No.6
<P>Microcapsules for self-healing applications were produced with a melamine-urea-formaldehyde (MUF) polymer shell containing two different healing agent candidates, 5-ethylidene-2-norbornene (ENB) and ENB with 10 wt.-% of a norbornene-based crosslinking agent (CL), by in situ polymerization in an oil-in-water emulsion. Relatively neat outer surfaces with minor roughness were observed on the MUF microcapsules under optical and scanning electron microscopy. Shell thickness of the capsules ranged from 700 to 900 nm. Particle size analysis of the microcapsules showed narrow size distributions with a mean diameter of 113 µm for ENB-filled and 122 µm for ENB + CL-filled microcapsules at an agitation rate of 500 rpm. The microcapsules were found to be thermally stable up to 300 °C and exhibited a 10 to 15% weight loss when isothermally held at 150 °C for 2 h from thermogravimetric analysis. Overall, these MUF microcapsules exhibited superior properties compared to the urea-formaldehyde (UF) microcapsules used extensively for self-healing composites to date. In addition, the manufacturing process of MUF microcapsules is much simpler than those made from UF. Additional advantages of MUF microcapsules for self-healing composites are discussed.</P><P> <img src='wiley_img/14387492-2009-294-6-7-MAME200900015-gra001.gif' alt='wiley_img/14387492-2009-294-6-7-MAME200900015-gra001'> </P> <B>Graphic Abstract</B> <P>Microencapsulation of two self-healing agent candidates with a new shell material is reported. The two healing agents include 5-ethylidene-2-norbornene (ENB) and ENB with a norbornene-based crosslinker. Melamine-urea-formaldehyde (MUF) was used for microencapsulating the two healing agents. These MUF microcapsules exhibited superior properties compared to the UF microcapsules for further development of composites with self-healing functionality. <img src='wiley_img/14387492-2009-294-6-7-MAME200900015-content.gif' alt='wiley_img/14387492-2009-294-6-7-MAME200900015-content'> </P>
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Xing Liu,이종근,Michael R. Kessler 한국고분자학회 2011 Macromolecular Research Vol.19 No.10
Norbornene-based healing agent candidates, 5-ethylidene-2-norbornene (ENB) and ENB with a custom crosslinker, were prepared into uniform microspheres using a Shirasu porous glass (SPG) emulsification technique,and microencapsulated by in situ polymerization of melamine-urea-formaldehyde (MUF). The resulting microcapsules were observed by optical and scanning electron microscopy for their morphology, outer and inner surface and shell thickness. Particle size analysis revealed a more uniform size distribution with a mean diameter of 40 μm than a conventional method using a mechanical impeller. The thermal and mechanical properties of the microcapsules were also examined by considering fabrication of self-healing composites.
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Liu Nai-Hua,Liu Hong-Qian,Zheng Jia-Yi,Zhu Meng-Lu,Wu Li-Hao,Pan Hua-Feng,He Xing-Xiang 한국미생물학회 2023 The journal of microbiology Vol.61 No.8
Accumulating studies have raised concerns about gut dysbiosis associating autism spectrum disorder (ASD) and its related symptoms. However, the effect of gut microbiota modification on the Chinese ASD population and its underlying mechanism were still elusive. Herein, we enrolled 24 ASD children to perform the first course of fresh washed microbiota transplantation (WMT), 18 patients decided to participate the second course, 13 of which stayed to participate the third course, and there were 8 patients at the fourth course. Then we evaluated the effects of fresh WMT on these patients and their related symptoms. Our results found that the sleeping disorder symptom was positively interrelated to ASD, fresh WMT significantly alleviated ASD and its sleeping disorder and constipation symptoms. In addition, WMT stably and continuously downregulated Bacteroides/ Flavonifractor/Parasutterella while upregulated Prevotella_9 to decrease toxic metabolic production and improve detoxification by regulating glycolysis/myo-inositol/D-glucuronide/D-glucarate degradation, L-1,2-propanediol degradation, fatty acid β-oxidation. Thus, our results suggested that fresh WMT moderated gut microbiome to improve the behavioral and sleeping disorder symptoms of ASD via decrease toxic metabolic production and improve detoxification. Which thus provides a promising gut ecological strategy for ASD children and its related symptoms treatments.
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