Intestinal Anti-Inflammatory Effects of Selenized Ulva pertusa Polysaccharides in a Dextran Sulfate Sodium-Induced Inflammatory Bowel Disease Model

Yifan Wang,Han Ye,Leke Qiao,Chunying Du,Zhengpeng Wei,Ting Wang,Jingfeng Wang,Ruizhi Liu,Peng Wang 한국식품영양과학회 2021 Journal of medicinal food Vol.24 No.3

The purpose of this study was to examine the alleviative effects of selenized polysaccharides from Ulva pertusa (ulvan-Se) on inflammatory bowel disease (IBD) in mice. The dextran sulfate sodium (DSS)-induced IBD mouse model was used to explore the protective effects of ulvan-Se on the intestinal mechanical and immune barrier. At doses less than 1208 mg/kg·bw ulvan-Se showed no significant damage to Institute of Cancer Research (ICR) mice in an acute toxicity test. The results showed that DSS destroyed the mechanical barrier, which includes epithelial cells, while ulvan-Se promoted mRNA expression of tight junction proteins (zonula occludens protein 1, occludin, and claudin-1) and inhibited the infiltration of white blood cells into the intestines. At 100 mg/kg·bw, ulvan-Se enhanced the antioxidant capacity of mice more effectively than the 50 mg/kg·bw ulvan-Se. Furthermore, ulvan-Se improved the intestinal immune barrier by increasing immunoglobulin A and immunoglobulin M, while regulating the levels of interleukin (IL)-1β, interferon-γ, and IL-4. Oral administration of ulvan-Se also suppressed tumor necrosis factor-α, IL-1β, IL-6, and cyclooxygenase-2 mRNA expression mediated by the nuclear factor kappa B pathway. Taken together, our findings reveal that ulvan-Se could be used as a potential alternative supplement for reducing intestinal inflammation in IBD.

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.

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.

Poly(3,4-ethylenedioxythiophene)-Coated Conductive Polyester Non-woven Fabric Prepared by Enzymatic Polymerization

Yifan Cui,Zhe Jiang,Yu Zhou,Qiang Wang,Man Zhou,Ping Wang,Yuanyuan Yu 한국섬유공학회 2022 Fibers and polymers Vol.23 No.6

Conductive polyester non-woven fabric was prepared using horseradish peroxidase (HRP) catalytic agent, 3,4-ethylenedioxythiophene monomer and poly(p-styrenesulfonic acid) dopant. The electrical resistance of the preparedconductive polyester non-woven fabric was reduced to 1.3×104 Ω from 1014 Ω of the raw polyester non-woven fabric becauseof the addition of poly(3,4-ethylenedioxythiophene) the conductivity of conductive polyester non-woven fabric decreased byabout 60 % after 300 bending cycles. Notably, the temperature of the conductive polyester non-woven fabric increased by73.1 °C after 150 s of light irradiation from a lamp source, while that of the raw polyester non-woven fabric increased by only19.4 °C under the same conditions.

A Novel Control Scheme Based on the Synchronous Frame for APF

Yifan Wang,Hong Zheng,Ruoyin Wang,Wen Zhu 전력전자학회 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.6

For the purpose of enhancing the performance of the shunt active power filter (APF), this paper presents a novel Fast Weighted Compound Control (FWCC) strategy based on the synchronous frame. In this control strategy, the proposed new repetitive controller can work faster and more stably by reducing the internal model cycle and introducing a damping coefficient. In addition, the harmonic detector can be removed to simplify the structure of the APF owing to the improvements. Furthermore, a proportional-integral (PI) controller is added to work in parallel with the repetitive controller by using a weighted ratio. Then, a convergence speed analysis and design algorithm are given in detail. Simulation and experimental results show that the harmonic distortion is reduced from 2.91% to 1.89%. In addition, the content for each of the characteristic harmonic orders has decreased by more than three times.

Deposition path-dependent lightweight support design and its implication to self-support topology optimization

Wang Yifan,Wu Tao,Liu Jikai,Yu Huangchao 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.6

This paper presents a lightweight support design method for material extrusion-type three-dimensional printed panel structures that innovatively involves the deposition path curvature information for support point determination. Specifically, this support design method provides a robust segmentation algorithm to divide the filament deposition paths into segments based on the curvature sign alternating condition, and then searches for the fewest support points for the filaments counting on the experimentally calibrated relationship between the maximum allowable self-support distance and the local mean curvature. The proposed method features in generating thin-walled skeleton-ray styled support structures that are lightweight while providing firm support for the panels. More importantly, the support design method provides a new type of self-support criterion for structural topology optimization involving non-designable planar panels, i.e., only a sparse point set would be sufficient to support the panel. Consequently, more materials could be spent on enhancing the load-bearing capacity instead of being wasted on oversupporting. The achievable structural performances from self-support topology optimization with this new self-support criterion can improve significantly. Support design and printing tests were conducted on a few panel structures that validated the improved support effect compared with equal-volume supports generated by commercial software. Equidistant and gap-free deposited filaments, no filament collapse due to insufficient support, and no isolated voids reflect the improved support effect. The improved self-support topological design was also validated through a comparative numerical case study, and a compliance reduction of 7.76% was achieved.

Spatial temporal PM2.5 Prediction by Support Vector Regression

Wang Yifan 대한지리학회 2017 대한지리학회 학술대회논문집 Vol.2017 No.6

A hidden anti-jamming method based on deep reinforcement learning

( Yifan Wang ),( Xin Liu ),( Mei Wang ),( Yu Yu ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.9

In the field of anti-jamming based on dynamic spectrum, most methods try to improve the ability to avoid jamming and seldom consider whether the jammer would perceive the user's signal. Although these existing methods work in some anti-jamming scenarios, their long-term performance may be depressed when intelligent jammers can learn user's waveform or decision information from user's historical activities. Hence, we proposed a hidden anti-jamming method to address this problem by reducing the jammer's sense probability. In the proposed method, the action correlation between the user and the jammer is used to evaluate the hiding effect of the user's actions. And a deep reinforcement learning framework, including specific action correlation calculation and iteration learning algorithm, is designed to maximize the hiding and communication performance of the user synchronously. The simulation result shows that the algorithm proposed reduces the jammer's sense probability significantly and improves the user's anti-jamming performance slightly compared to the existing algorithms based on jamming avoidance.

The Response of Plant Photosynthesis and Stomatal Conductance to Fine Particulate Matter (PM2.5) based on Leaf Factors Analyzing

Yifan Li,Yujie Wang,Bin Wang,Yunqi Wang,Weiqing Yu 한국식물학회 2019 Journal of Plant Biology Vol.62 No.2

The effects of particles on the photosynthesis ofvegetation, which is a sink for fine particulate matter (PM2.5)deposition, are still not well understood. Here, we carried outindoor measurements to evaluate the variation dynamics ofnet photosynthetic rate and stomatal conductance of fourplant species with different leaf characteristics under differentPM2.5 levels. Then tree leaves were sampled and the grooveproportion, leaf trichome density, stomatal density and stomatalsize were quantitatively studied by scanning electron microscopy(SEM). The stomatal conductance of the 4 species had aclose positive correlation with photosynthetic rate. Netphotosynthetic rate and stomatal conductance declined overtime at elevated PM2.5, and the rate of the decline becamemore rapid with higher concentration of PM2.5. The inhibitingeffect might be caused by the closure of the stomata and thedecrease of stomatal conductance, which was proved by thereduction of the stomatal size of under the condition of PM2.5pollution. Leaf trichome and groove seemed to show aprotective role for plants from PM2.5 exposure and be responsiblefor the difference of photosynthetic rate and stomatal conductanceunder the condition of PM2.5 pollution. The higher grooveproportion and the presence of trichomes on the leaf surfacein Neolitsea aurata and Lindera kwangtungensis absorbedsome particulate matters and buffered the effect of PM2.5pollution on stomata.

A Novel Control Scheme Based on the Synchronous Frame for APF

Wang, Yifan,Zheng, Hong,Wang, Ruoyin,Zhu, Wen The Korean Institute of Power Electronics 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.6

For the purpose of enhancing the performance of the shunt active power filter (APF), this paper presents a novel Fast Weighted Compound Control (FWCC) strategy based on the synchronous frame. In this control strategy, the proposed new repetitive controller can work faster and more stably by reducing the internal model cycle and introducing a damping coefficient. In addition, the harmonic detector can be removed to simplify the structure of the APF owing to the improvements. Furthermore, a proportional-integral (PI) controller is added to work in parallel with the repetitive controller by using a weighted ratio. Then, a convergence speed analysis and design algorithm are given in detail. Simulation and experimental results show that the harmonic distortion is reduced from 2.91% to 1.89%. In addition, the content for each of the characteristic harmonic orders has decreased by more than three times.