Effect of Cr2O3 on the viscosity and structure of slag (or glass) of CaO-MgO-Al2O3-SiO2 system

Wang Yifan,Wang Yici,Zhang Yunhao,Chai Yifan,Zhao Fengguang,Luo Guoping 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.7

The glass-ceramics of CaO-MgO-Al2O3-SiO2-Cr2O3 system was prepared by melting method using blast furnace slag, low-carbon ferrochrome alloy slag and quartz sand as raw materials, and the effect of Cr2O3 on the viscosity and structure of slag (or glass) of CaO-MgO-Al2O3-SiO2 (CMAS) system at high temperature was studied. The Urbain viscosity prediction model was established and optimized, and the effect of Cr2O3 on the structure of slag (or glass) was studied by Raman spectroscopy. The results show that when the mass fraction of Cr2O3 is in the range of 0.85–2.05%, the viscosity of slag (or glass) of CMAS system decreases with the increase of Cr2O3 content. The average relative errors between the experimented viscosity value and the calculated viscosity value obtained by using the optimized Urbain model are less than 20%, which is effective and universal for the viscosity prediction of slag (or glass) of CaO-MgO-Al2O3-SiO2-Cr2O3 system. With the increase of Cr2O3 content, the complex silicon oxygen tetrahedrons (Q3) disintegrate into a larger number of simple silicon oxygen tetrahedrons (Q0, Q1, Q2), resulting in the sparse structure of the melt network and a decrease in macroscopic viscosity.

Portable Amperometric Glucose Detection based on NiS/CuS Nanorods Integrated with a Smartphone Device

Heyu Zhao,Kaige Qu,Haoyong Yin,Ling Wang,Yifan Zheng,Shumin Zhao,Shengji Wu The Korean Electrochemical Society 2023 Journal of electrochemical science and technology Vol.14 No.3

Glucose detection is particularly important for clinical diagnosis and personal prevention and control. Herein, the smartphone-based amperometric glucose sensors were constructed using the NiS/CuS nanorods (NRs) as sensing electrodes. The NiS/CuS NRs were prepared through a facile hydrothermal process accompanied by the subsequent vulcanization treatment. The morphological and structural properties of NiS/CuS NRs were characterized with SEM, EDS, XRD, and XPS. Electrochemical measurements including cyclic voltammetry, chronoamperometry, and electrochemical impedance spectroscopy display that NiS/CuS NRs can act as highly efficient electrocatalyst for glucose detection. The NiS/CuS NRs electrodes present a wide detection range of 1-8000 µM for glucose sensing with the sensitivity of 956.38 µA·mM^-1·cm^-2. The detection limit was 0.35 µM (S/N=3). When employed in smartphone-based glucose sensing device, they also display a high sensitivity of 738.09 µA·mM^-1·cm^-2 and low detection limit of 1.67 µM. Moreover, the smartphone-based glucose sensing device also presents favorable feasibility in determination of glucose in serum samples with the recoveries ranging between 99.5 and 105.8%. The results may provide a promising viewpoint to design other new portable glucose sensors.

Adaptive Importance Channel Selection for Perceptual Image Compression

( Yifan He ),( Feng Li ),( Huihui Bai ),( Yao Zhao ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.9

Recently, auto-encoder has emerged as the most popular method in convolutional neural network (CNN) based image compression and has achieved impressive performance. In the traditional auto-encoder based image compression model, the encoder simply sends the features of last layer to the decoder, which cannot allocate bits over different spatial regions in an efficient way. Besides, these methods do not fully exploit the contextual information under different receptive fields for better reconstruction performance. In this paper, to solve these issues, a novel auto-encoder model is designed for image compression, which can effectively transmit the hierarchical features of the encoder to the decoder. Specifically, we first propose an adaptive bit-allocation strategy, which can adaptively select an importance channel. Then, we conduct the multiply operation on the generated importance mask and the features of the last layer in our proposed encoder to achieve efficient bit allocation. Moreover, we present an additional novel perceptual loss function for more accurate image details. Extensive experiments demonstrated that the proposed model can achieve significant superiority compared with JPEG and JPEG2000 both in both subjective and objective quality. Besides, our model shows better performance than the state-of-the-art convolutional neural network (CNN)-based image compression methods in terms of PSNR.

Modified Double-Reduction Method considering Strain Softening and Equivalent Influence Angle

Yifan Chen,Hang Lin,Yixian Wang,Rihong Cao,Chunyang Zhang,Yanlin Zhao 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.11

Slope stability has been the research focus in the field of geotechnical engineering. Both the asynchronous decay speeds and distinct stability contributions of cohesion c and friction ϕduring slope instability have been evidenced. In this study, based on linear softening model and weighted average hypothesis, a modified double-reduction method is established. The research includes: 1) the asynchronism between decay speeds of c and ϕ are described by adopting different slopes in linear softening model for c and tanϕ, in which case the respective reduction factors in strength reduction method Fc and Fϕ are solved. 2) The distinct slope stability contributions of c and ϕ is readily linked with the different influences to safety factor, and therefore, introducing the equivalent influence angle θe (defined as the slope angle at which c and ϕ share identical contributions to stability), as well as its determination method. 3) According to weighted average hypothesis that the overall safety factor FS is the weighted average of Fc and Fϕ, the contribution scaling factor μ (defined as the weighted ratio of Fc and Fϕ is proposed, which promotes the solution of respective weighted coefficients wc and wϕ of two reduction factors by combining θe, achieving a new double-reduction method. 4) The validity of this method is verified via comprehensive comparison with existing double-reduction methods of practical slope examples.

Effects of carboxylesterase gene silence on wheat aphid Sitobion avenae (Fabricius)

Yifan Zhang,Fei Deng,Yongliang Fan,Zhangwu Zhao 한국응용곤충학회 2016 Journal of Asia-Pacific Entomology Vol.19 No.2

Multifunctional carboxylesterase (CarE) has been found in all animals, plants and microbes, and belongs to a superfamily enzyme of serine hydrolase involved in detoxification, allelochemical tolerance and some specific hormone or pheromone metabolism. Insects usually utilize carboxylesterases to detoxify xenobiotics, and positively correlated with insect resistance to some insecticides. Despite the importance of CarEs in insects, carboxylesterases and their functions in wheat aphid Sitobion avenae (Fabricius) have not been clear. In this study, a sequence that encodes a carboxylesterase protein from S. avenae (SaCarE) was sequenced and cloned. After aligning the encoded amino acid sequence of the SaCarE gene with other known CarEs of insects, we found that the CarE gene was highly conserved in insects. The SaCarE mRNA levels at different developmental stages of S. avenae were gradually increased from the first instar of nymphs to adult stage. RNAi was employed to further explore its functions, in which oral ingestion of SaCarE double-stranded RNA from the third instar nymph significantly knocked down SaCarE expression, and significantly decreased ecdysis index in S. avenae. These results indicate that SaCarE is functional in S. avenae and could serve one of the potential target genes for management of S. avenae.

A gearbox fault feature extraction method based on wingsuit flying search algorithm-optimized orthogonal matching pursuit with a compound time-frequency atom dictionary

Yifan Mao,Feiyun Xu,Xun Zhao,Xiaoan Yan 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.11

Gearbox vibration signals are usually disturbed under strong noise. Therefore, the fault feature frequency cannot be extracted accurately and effectively. In order to extract the fault feature of the gearbox, a method based on compound time-frequency atomic dictionary and orthogonal matching pursuit (OMP) optimized by wingsuit flying search algorithm (WFSA) is proposed. Firstly, according to the feature of the gearbox fault vibration signal, a compound time-frequency atomic dictionary composed of steady state modulation dictionary and impact modulation dictionary is designed. In addition, in order to improve the accuracy and efficiency of signal sparse decomposition. In this paper, WFSA is used to optimize the dictionary atomic parameters in OMP, so that the dictionary atom approximated the original signal better. Through simulation analysis and experimental verification and compared with the commonly used gearbox fault feature extraction methods, the superiority and effectiveness of the method are verified.

Inhalation of panaxadiol alleviates lung infl ammation via inhibiting TNFA/ TNFAR and IL7/IL7R signaling between macrophages and epithelial cells

Yifan Wang,Hao Wei,Zhen Song,Liqun Jiang,Mi Zhang,Xiao Lu,Wei Li,Yuqing Zhao,Lei Wu,Shuxian Li,Huijuan Shen,Qiang Shu,Yicheng Xie 고려인삼학회 2024 Journal of Ginseng Research Vol.48 No.1

Background: Lung inflammation occurs in many lung diseases, but has limited effective therapeutics. Ginseng andits derivatives have anti-inflammatory effects, but their unstable physicochemical and metabolic propertieshinder their application in the treatment. Panaxadiol (PD) is a stable saponin among ginsenosides. Inhalationadministration may solve these issues, and the specific mechanism of action needs to be studied. Methods: A mouse model of lung inflammation induced by lipopolysaccharide (LPS), an in vitro macrophageinflammation model, and a coculture model of epithelial cells and macrophages were used to study the effectsand mechanisms of inhalation delivery of PD. Pathology and molecular assessments were used to evaluate efficacy. Transcriptome sequencing was used to screen the mechanism and target. Finally, the efficacy andmechanism were verified in a human BALF cell model. Results: Inhaled PD reduced LPS-induced lung inflammation in mice in a dose-dependent manner, includinginflammatory cell infiltration, lung tissue pathology, and inflammatory factor expression. Meanwhile, the dose ofinhalation was much lower than that of intragastric administration under the same therapeutic effect, which maybe related to its higher bioavailability and superior pharmacokinetic parameters. Using transcriptome analysisand verification by a coculture model of macrophage and epithelial cells, we found that PD may act by inhibitingTNFA/TNFAR and IL7/IL7R signaling to reduce macrophage inflammatory factor-induced epithelial apoptosisand promote proliferation. Conclusion: PD inhalation alleviates lung inflammation and pathology by inhibiting TNFA/TNFAR and IL7/IL7Rsignaling between macrophages and epithelial cells. PD may be a novel drug for the clinical treatment of lunginflammation.

MicroRNA-203 As a Stemness Inhibitor of Glioblastoma Stem Cells

Deng, Yifan,Zhu, Gang,Luo, Honghai,Zhao, Shiguang Korean Society for Molecular and Cellular Biology 2016 Molecules and cells Vol.39 No.8

Glioblastoma stem cells (GBM-SCs) are believed to be a subpopulation within all glioblastoma (GBM) cells that are in large part responsible for tumor growth and the high grade of therapeutic resistance that is so characteristic of GBM. MicroRNAs (miR) have been implicated in regulating the expression of oncogenes and tumor suppressor genes in cancer stem cells, including GBM-SCs, and they are a potential target for cancer therapy. In the current study, miR-203 expression was reduced in $CD133^+$ GBM-SCs derived from six human GBM biopsies. MicroRNA-203 transfected GBM-SCs had reduced capacity for self-renewal in the cell sphere assay and increased expression of glial and neuronal differentiation markers. In addition, a reduced proliferation rate and an increased rate of apoptosis were observed. Therefore, miR-203 has the potential to reduce features of stemness, specifically in GBM-SCs, and is a logical target for GBM gene therapy.

Manganese induces neuroinflammation via NF-κB/ROS NLRP3 pathway in rat brain striatum and HAPI cells

Xinyuan Zhao,Lifeng Yin,Yifan Wu,Muxi Han,Yin Zhuang,Yewen Cong,Yiming Liu,Gang Chen,Junkang Jiang 대한독성 유전단백체 학회 2019 Molecular & cellular toxicology Vol.15 No.2

Backgrounds: Chronic exposure to excessive Mn can result in neurodegenerative symptoms, whose precise molecular mechanism remains largely unclear. Here, we measured the role and mechanism of NLRP3 in Mninduced neuroinflammation in vivo and vitro. Methods: The effects of Mn on NLRP3 activation were investigated by Westernblot, IHC, immunofluorescence analysis, as well as ELISA. We assessed NF-κB activation through measurement of phosphorylation and nuclear translocation. The mechanisms bywhich Mn induced NLRP3 activation were assessed by specific inhibitors. Results: We found that Mn exposure facilitated the activation of NLRP3 inflammasome to promote the production of IL-1β and IL-18 in dose- and time-dependent manners in HAPI cells. In addition, the NLRP3 inflammasome was also dramatically activated in microglia of rat brain striatum after Mn exposure. We also found increased ROS and NF-κB activation. Notably, the activation of NLRP3 was significantly attenuated by pretreatment with NF-κB and ROS inhibitors. Conclusion: These findings suggest that NLRP3 activation plays an important role in Mn-induced neuroinflammation, and it is associated with NF-κB and ROS.

Corrosion behavior of biodegradable magnesium alloy by MAF treatment

Xinzhe Gao,Yifan Yang,Bi Ying Shi,Chun Yu Dai,ChuanYao Zhai,Bing Cheng Zhao,Heng Bo Jiang 대한치과재료학회 2021 대한치과기재학회 학술대회 Vol.2021 No.4

Introduction. Magnesium and magnesium alloys, with mismatched degradation rates and products that are expected to support the effects being issues that need to be overcome, are hindered from clinical application. The coating preparation plays an active role in tackling this problem. The purpose of this work is to observe the corrosion control by the MAF coating in vitro and in vivo. Method. The MgF2 layer was prepared on the surface of AZ31 magnesium alloy by MAF method at 190 V DC in HF·H₂O (46%) solution. The magnesium alloy samples before and after the treatment were compared by scanning electron microscopy (SEM) observation. The coating structure and constituents were confirmed using cross-sectional SEM, energy-dispersive X-ray spectroscopy (EDS) and X-ray diffraction (XRD) analysis. Potentiodynamic polarization (PDP) was utilized for electrochemical evaluation of corrosion potential and current density. 6-week-old male rats were used as experimental subjects for in vivo experiments. The volume changes and surface morphology of the corroded samples were dynamically monitored using micro-CT for 16 weeks. Results. The distribution of coating elements observed by EDS is dominated by magnesium and fluorine. The XRD analysis shows that the prepared coatings are mainly MgF2 crystals. The coating was observed by SEM to be uniformly dense and coral-like. The results of the PDP experiments showed that the coated samples had lower corrosion current density and corrosion potential. Comparison of the two groups of in vivo experiments revealed that the rate of volume change decreased in the coated samples and the density change during micro-CT observation was less than that of the uncoated group. Conclusions. Effective coatings were prepared on the surface of AZ31 magnesium alloy using the MAF method. This coating was also validated the potential to control the corrosion rate and corrosion process of magnesium alloy by both in vitro and in vivo evaluation systems.