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RISS 인기검색어
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- 저자 : Jiajia Guo (검색결과 14 건)
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Jiajia Wang,Xudong Chen,Jingwu Bu,Shengshan Guo 사단법인 한국계산역학회 2019 Computers and Concrete, An International Journal Vol.24 No.4
The limited availability of raw materials and increasing service demands for pavements pose a unique challenge in terms of pavement design and concrete material selection. The self-compacting rubberized concrete (SCRC) can be used in pavement design. The SCRC pavement slab has advantages of excellent toughness, anti-fatigue and convenient construction. On the premise of satisfying the strength, the SCRC can increase the ductility of pavement slab. The aim of this investigation is proposing a new method to predict the crack growth and flexural capacity of large-scale SCRC slabs. The mechanical properties of SCRC are obtained from experiments on small-scale SCRC specimens. With the increasing of the specimen depth, the bearing capacity of SCRC beams decreases at the same initial crack-depth ratio. By constructing extended finite element method (XFEM) models, crack growth and flexural capacity of large-scale SCRC slabs with different fracture types and force conditions can be predicted. Considering the diversity of fracture types and force conditions of the concrete pavement slab, the corresponding test was used to verify the reliability of the prediction model. The crack growth and flexural capacity of SCRC slabs can be obtained from XFEM models. It is convenient to conduct the experiment and can save cost.
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Adversarial Attack on DL-based Massive MIMO CSI Feedback
Qing Liu,Jiajia Guo,Chao-Kai Wen,Shi Jin 한국통신학회 2020 Journal of communications and networks Vol.22 No.3
With the increasing application of deep learning (DL) algorithms in wireless communications, the physical layer faces newchallenges caused by adversarial attack. Such attack has significantly affected the neural network in computer vision. We chooseDL-based channel state information (CSI) to show the effect of adversarial attack on DL-based communication system. We presenta practical method to craft white-box adversarial attack on DLbased CSI feedback process. Our simulation results show the destructive effect adversarial attack causes on DL-based CSI feedback by analyzing the performance of normalized mean square error. We also launch a jamming attack for comparison and find thatthe jamming attack could be prevented with certain precautions. As DL algorithm becomes the trend in developing wireless communication, this work raises concerns regarding the security in the useof DL-based algorithms.
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Jia Yang,Jiajia Hao,Chen Tang,Yaxin Guo,Mingxin Guo,Zhipeng Li,Shuzheng Liu,Hui Yu,Gang Qin,Qiang Chen 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.116 No.-
Although many hydrogels have been applied to wearable sensors, it is still challenging to simultaneouslyrealize hydrogels with optical transparency, superior mechanical properties, excellent sensing performance,and anti-freezing by using inexpensive raw materials and an easy preparation process. Herein,using ethylene glycol/H2O (EG/ H2O) as a solvent, poly(vinyl alcohol)/EG organohydrogel (PVA/EGOHG) was prepared by a simple heating and frozen-thawing method. Owing to the multifunctionalityof EG (i.e., physical cross-linker, anti-freezer and co-solvent), PVA/EG OHG demonstrated excellent integratedproperties, including high strength, high toughness, and anti-freezing performances. Besides, PVA/EG OHG also showed low friction, self-cleaning, and frost resistance properties. After the introduction ofLiCl, ionically conductive PVA/EG @LiCl organohydrogel was served as a self-cleaning strain sensor, whichcould be long-term stable to detect the motions of human under room and low temperatures. The studyprovides to further understanding of the organohydrogel, which will help us design next-generationhigh-performance organohydrogels.
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Yan Bao,Jiajia Guo,Jianzhong Ma,Pan Liu,Qiaoling Kang,Jing Zhang 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.53 No.-
A series of cationic silicon-based gemini surfactants (Cm-PSi-Cm) having different hydrophobic chains length (m = 8,10,12,14,16,18) were synthesized. Subsequently, surface parameters including equilibrium surface tension (gCMC), critical micelle concentration (CMC), surface pressure at CMC (PCMC) and maximum surface excess (Gmax) were calculated according to the surface tension measurements. The importance of hydrophobic chains length on the surface activity of Cm-PSi-Cm was revealed in detail. With the increasing hydrophobic chains length, the equilibrium surface tension (gCMC) values follow the order of C8-PSi-C8 > C10-PSi-C10 > C12-PSi-C12< C14-PSi-C14< C16-PSi-C16< C18-PSi-C18. The thermodynamic parameters of micellization process, namely, standard Gibbs free energy (DG0 m), enthalpy (DH0 m) and entropy (DS0 m), were derived from conductivity measurements at different temperatures. The aggregation of the cationic silicon-based gemini surfactants (C12-PSi-C12) in aqueous solution at different concentrations was studied by DLS and TEM measurements. The formation of micelles and vesicles in C12-PSi-C12 solutions was observed at a concentration well above the CMC. Moreover, the morphology of vesicles changed from sphere to rod-like, dumbble-like and finally string dumbbell-like with the increasing of the surfactant concentration.
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Huimin Chen,Jiajia Shen,Haofeng Li,Xiao Zheng,Dian Kang,Yangfan Xu,Chong Chen,Huimin Guo,Lin Xie,Guangji Wang,Yan Liang 고려인삼학회 2020 Journal of Ginseng Research Vol.44 No.1
Background: Ginsenoside Rb1 (Rb1), one of the most abundant protopanaxadiol-type ginsenosides, exerts excellent neuroprotective effects even though it has low intracephalic exposure. Purpose: The present study aimed to elucidate the apparent contradiction between the pharmacokinetics and pharmacodynamics of Rb1 by studying the mechanisms underlying neuroprotective effects of Rb1 based on regulation of microflora. Methods: A pseudo germ-free (PGF) rat model was established, and neuroprotective effects of Rb1 were compared between conventional and PGF rats. The relative abundances of common probiotics were quantified to reveal the authentic probiotics that dominate in the neuroprotection of Rb1. The expressions of the gamma-aminobutyric acid (GABA) receptors, including GABAA receptors (α2, β2, and γ2) and GABAB receptors (1b and 2), in the normal, ischemia/reperfusion (I/R), and I/RþRb1 rat hippocampus and striatum were assessed to reveal the neuroprotective mechanism of Rb1. Results: The results showed that microbiota plays a key role in neuroprotection of Rb1. The relative abundance of Lactobacillus helveticus (Lac.H) increased 15.26 fold after pretreatment with Rb1. I/R surgery induced effects on infarct size, neurological deficit score, and proinflammatory cytokines (IL-1β, IL-6, and TNF-α) were prevented by colonizing the rat gastrointestinal tract with Lac.H (1×10<SUP>9</SUP> CFU) by gavage 15 d before I/R surgery. Both Rb1 and Lac.H upregulated expression of GABA receptors in I/R rats. Coadministration of a GABAA receptor antagonist significantly attenuated neuroprotective effects of Rb1 and Lac.H. Conclusion: In sum, Rb1 exerts neuroprotective effects by regulating Lac.H and GABA receptors rather than through direct distribution to the target sites.
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Huimin Chen,Jiajia Shen,Haofeng Li,Xiao Zheng,Dian Kang,Yangfan Xu,Chong Chen,Huimin Guo,Lin Xie,Guangji Wang,Yan Liang 고려인삼학회 2020 Journal of Ginseng Research Vol.44 No.1
Background: Ginsenoside Rb1 (Rb1), one of the most abundant protopanaxadiol-type ginsenosides, exertsexcellent neuroprotective effects even though it has low intracephalic exposure. Purpose: The present study aimed to elucidate the apparent contradiction between the pharmacokineticsand pharmacodynamics of Rb1 by studying the mechanisms underlying neuroprotective effects ofRb1 based on regulation of microflora. Methods: A pseudo germ-free (PGF) rat model was established, and neuroprotective effects of Rb1 werecompared between conventional and PGF rats. The relative abundances of common probiotics werequantified to reveal the authentic probiotics that dominate in the neuroprotection of Rb1. The expressionsof the gamma-aminobutyric acid (GABA) receptors, including GABAA receptors (a2, b2, and g2) andGABAB receptors (1b and 2), in the normal, ischemia/reperfusion (I/R), and I/RþRb1 rat hippocampus andstriatum were assessed to reveal the neuroprotective mechanism of Rb1. Results: The results showed that microbiota plays a key role in neuroprotection of Rb1. The relativeabundance of Lactobacillus helveticus (Lac.H) increased 15.26 fold after pretreatment with Rb1. I/R surgeryinduced effects on infarct size, neurological deficit score, and proinflammatory cytokines (IL-1b, IL-6, andTNF-a) were prevented by colonizing the rat gastrointestinal tract with Lac.H (1 109 CFU) by gavage 15d before I/R surgery. Both Rb1 and Lac.H upregulated expression of GABA receptors in I/R rats. Coadministrationof a GABAA receptor antagonist significantly attenuated neuroprotective effects of Rb1 and Lac.H. Conclusion: In sum, Rb1 exerts neuroprotective effects by regulating Lac.H and GABA receptors ratherthan through direct distribution to the target sites.
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Yang Wei,Wang Dan,Guo Jingming,Zhang Yijiao,Zhang Jiajia,Bian Zhaoyuan 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1
Mobile energy storage spatially and temporally transports electric energy and has fexible dispatching, and it has the potential to improve the reliability of distribution networks. In this paper, we studied the reliability assessment of the distribution network with power exchange from mobile energy storage units, considering the coupling diferences among diferent time and zones of the vehicle–road–network system. First, we constructed a basic mobile energy storage operation framework that supports the distribution network reliability. Next, we proposed a quantitative model to describe the dynamic zonal coupled vehicle–road–network system. Based on this model, the corresponding charging and discharging scheduling strategies for diferent mobile energy storage units are well designed to improve the efciency of power support. Then, we provided a distribution network reliability assessment algorithm handling the power exchange from mobile energy storage units. Finally, we used the IEEE 33-node example system to clarify the necessity of the vehicle–road–network model in accounting for dynamic zonal coupling. We also analyzed the impact of diferent characteristics of mobile energy storage on the reliability of the distribution network, and verifed that one can improve the distribution network reliability by increasing the response speed, power capacity, or charging/discharging power of mobile energy storage vehicles.
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Chen, Huimin,Shen, Jiajia,Li, Haofeng,Zheng, Xiao,Kang, Dian,Xu, Yangfan,Chen, Chong,Guo, Huimin,Xie, Lin,Wang, Guangji,Liang, Yan The Korean Society of Ginseng 2020 Journal of Ginseng Research Vol.44 No.1
Background: Ginsenoside Rb1 (Rb1), one of the most abundant protopanaxadiol-type ginsenosides, exerts excellent neuroprotective effects even though it has low intracephalic exposure. Purpose: The present study aimed to elucidate the apparent contradiction between the pharmacokinetics and pharmacodynamics of Rb1 by studying the mechanisms underlying neuroprotective effects of Rb1 based on regulation of microflora. Methods: A pseudo germ-free (PGF) rat model was established, and neuroprotective effects of Rb1 were compared between conventional and PGF rats. The relative abundances of common probiotics were quantified to reveal the authentic probiotics that dominate in the neuroprotection of Rb1. The expressions of the gamma-aminobutyric acid (GABA) receptors, including GABAA receptors (α2, β2, and γ2) and GABAB receptors (1b and 2), in the normal, ischemia/reperfusion (I/R), and I/R+Rb1 rat hippocampus and striatum were assessed to reveal the neuroprotective mechanism of Rb1. Results: The results showed that microbiota plays a key role in neuroprotection of Rb1. The relative abundance of Lactobacillus helveticus (Lac.H) increased 15.26 fold after pretreatment with Rb1. I/R surgery induced effects on infarct size, neurological deficit score, and proinflammatory cytokines (IL-1β, IL-6, and TNF-α) were prevented by colonizing the rat gastrointestinal tract with Lac.H (1 × 10<sup>9</sup> CFU) by gavage 15 d before I/R surgery. Both Rb1 and Lac.H upregulated expression of GABA receptors in I/R rats. Coadministration of a GABA<sub>A</sub> receptor antagonist significantly attenuated neuroprotective effects of Rb1 and Lac.H. Conclusion: In sum, Rb1 exerts neuroprotective effects by regulating Lac.H and GABA receptors rather than through direct distribution to the target sites.
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Shu Wang,Houpu Yang,Jiajia Guo,Miao Liu,Fuzhong Tong,Yingming Cao,Bo Zhou,Peng Liu,Lin Cheng,Fei Xie,Deqi Yang,Jiaqing Zhang 한국바이오칩학회 2011 BioChip Journal Vol.5 No.1
Neo-adjuvant chemotherapy for breast cancer substantially benefits patients who achieve pathological response. However, clinical or pathological response information can only be obtained a period of time after chemotherapy. The identification of novel bio-markers or the application of new technique that can be used to predict treatment response before che-motherapy would allow therapy to be tailored on an individual patient basis. The purpose of this study is to identify the chemo-sensitivity and chemo-resistance related proteins using antibody microarray profiling, and to develop a multi-protein predictive model for breast cancer. Total protein was extracted from core needle biopsy samples obtained from 15 patients before treatment with neo-adjuvant TA(combination of taxanes and anthracycline) chemotherapy. Protein profiling was analyzed by antibody microarray. 10 pati-ents were used as training set to develop the predictive model using the software PAM(prediction analysis of microarray). Another 5 patients were used as a validation set to test the model. In cross-validation, the mole-cular predictive model showed an accuracy of 90%, in independent validation, the model classified the cases with an accuracy of 80%. In conclusion, the proteomic predictive model has the potential to predict pathological response to neo-adjuvant TA chemotherapy.
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