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Steel scale-CaO composite catalyst for coke combustion and in-situ NO and SO2 removal
Li Zhang,Jingchong Yan,Zhiping Lei,Xianzhong Cao,Tiejun Chun,Zhanku Li,Hengfu Shui,Shibiao Ren,Zhicai Wang,Ying Kong 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.110 No.-
The performance of the steel scale (SS)-CaO composite on the combustion of coke nuts and in-situ reductionof SO2 and NO emission was investigated. Combustion experiments show that SS-CaO compositeaccelerates coke combustion and reduces SO2 and NO emissions concurrently. X-ray diffraction (XRD),scanning electron microscopy (SEM), and electron spin resonance (ESR) were used to investigate thecatalysis mechanism. Results show that SS and CaO have synergistic effect in in-situ denitration. Theincrease of SS and CaO fraction in the composites improve the denitration and sulfur fixation performance,respectively. The denitration activity is mainly attributed to the Fe2O3 in SS and Ca2Fe2O5 formedduring combustion. The desulfurization is due to the sulfur fixation with CaO. The increasing fraction ofCaO in the composites leads to the agglomeration of ash particles. 2%CaO is confirmed as the optimumaddition for catalytic combustion and emission reduction. This work sheds light on the cheap and effectivecatalysts that are potentially useful for iron ore sintering.
Zhang Yifan,Shen Jinhuang,Ma Xinhua,Yao Mingshuang,Zhang Yonghong,Cao Dairong 한국응용생명화학회 2022 Applied Biological Chemistry (Appl Biol Chem) Vol.65 No.3
Acanthus ilicifolius var. xiamenensis (Acanthaceae), a mangrove found in southeastern China, is an herb with strong antiinflammatory property. Phytochemical study of the mangrove showed that the plant has a high content of phenylethanol glycoside acteoside (AC). In this research, the anti-inflammatory activity of acteoside on dextran sodium sulphate (DSS)-mediated mouse ulcerative colitis model were studied. For DSS- mediated colitis in mice, AC can reduce weight loss and DAI score in UC mice, suppress colon shortening and alleviate colon pathological injury. Moreover, AC treatment notably up-regulates IL-10, down-regulates the levels of IL-1β and TNF-α, and inhibits the protein expression of JAK2/STAT3, NF-κB p65, IKKα/β and IKB of colon. In addition, after AC treatment, the level of MDA and NO in colonic tissue were remarkably decreased, while the levels of GSH, SOD, and Nrf2 and HO-1 protein expression levels were significantly increased. These results indicate that AC can activate the Nrf2 signaling pathway by inhibiting the JAK/STAT, iNOS/eNOS and NF-κB signaling cascades, enhance the intestinal barrier function, and effectively reduce DSS-induced UC in mice.
PDCD4 expression inversely correlated with miR-21 levels in gastric cancers.
Cao, Zhang,Yoon, Jung Hwan,Nam, Suk Woo,Lee, Jung Young,Park, Won Sang Springer-Verlag 2012 JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY Vol.138 No.4
<P>The specific aim of this study was to investigate whether the PDCD4 gene is involved in the development and progression of gastric cancer.</P>
Zhang, Yue,Xu, Xiaoyun,Cao, Lingzhi,Ok, Yong Sik,Cao, Xinde Elsevier 2018 CHEMOSPHERE - Vol.211 No.-
<P><B>Abstract</B></P> <P>Biochar has shown a unique electrochemical property being involved in various redox reactions in soil and water. In this study, the electron donating capacities (EDCs) of biochar pyrolyzed at 200–800 °C from pine wood, barley grass and wheat straw were investigated by using the mediated electrochemical oxidation method. The EDC values for all biochar were in the range of 0.18–1.83 mmol e<SUP>−</SUP> (g biochar)<SUP>−1</SUP>, showing the increase as the temperature increased from 200 °C to 400 °C, the decrease from 400 °C to 650 °C, and then increase from 650 °C until to 800 °C. At low and intermediate temperatures of 200–650 °C, the EDCs were mainly attributed to the phenolic hydroxyl groups, while the conjugated π-electron system associated with aromatic structure dominated the EDCs of biochar at the high temperatures of over 650 °C. The barley grass- and wheat straw-derived biochar had higher EDCs than the pine wood-derived biochar, resulting from the higher phenolic hydroxyl groups in the former samples than the latter one. In conclusion, the reductive property of biochar was mainly attributed to both phenolic hydroxy group and conjugated π-electron system associated with aromatic structure, depending on the pyrolytic temperature and feedstock source. The results will help us to obtain a complete view on the role of biochar in biogeochemical redox reactions and consider developing biochar with controlled redox properties for specific environmental applications such as electron shuttle and catalyst material.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Quantification of the relationship between EDCs and phenolic groups and conjugate π-electron system were reported. </LI> <LI> At low and intermediate temperatures, the EDCs were mainly attributed to the phenolic groups. </LI> <LI> At high temperatures, the conjugated π-electron system associated with aromatic structure dominated the EDCs of biochar. </LI> <LI> Developing biochar with controlled redox properties was proposed for specific environmental applications. </LI> </UL> </P>
TRAFFIC FLOW FORECASTING OF GRAPH CONVOLUTIONAL NETWORK BASED ON SPATIO-TEMPORAL ATTENTION MECHANISM
Zhang Hong,Chen Linlong,Cao Jie,Zhang Xijun,Kan Sunan,Zhao Tianxin 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.4
Accurate traffic flow forecasting is a prerequisite guarantee for the realization of intelligent transportation. Due to the complex time and space features of traffic flow, its forecasting has always been a research hotspot in this field. Aiming at the difficulty of capturing and modelling the temporal and spatial correlation and dynamic features of traffic flow, this paper proposes a novel graph convolutional network traffic flow forecasting model (STAGCN) based on the temporal and spatial attention mechanism. STAGCN model is mainly composed of three modules: Spatio-temporal Attention (STA-Block), Graph Convolutional Network (GCN) and Standard Convolutional Network (CN), model the periodicity, spatial correlation and time dependence of traffic flow respectively. STA-Block module models the spatio-temporal correlation between different time steps through the spatio-temporal attention mechanism and gating fusion mechanism, and uses GCN and CN to capture the spatial and temporal features of traffic flow respectively. Finally, the output of the three components is predicted through a gated fusion mechanism. A large number of experiments have been conducted on two data sets of PeMS. The experimental results demonstrate that compared with the baseline method, the STAGCN model proposed in this paper has better forecasting performance.
Cao Sishi,Zhang Zhifei,Huang Yunwei,Zhang Quanzhou,Xu Zhongming 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.1
In this study, the discrete adjoint approach with the grid deformation technique based on radial basis function was presented to solve the tough problem that the complex shape of the defrosting duct is very difficult to be optimized with multiple parameters in the improvement of the defrosting performance of vehicle. Firstly, the defrosting performance of a light truck was analyzed. Then the discrete adjoint approach was applied by taking the average Nusselt-number as the objective function. The normal surface sensitivity was used in the deformation of the defrosting duct. After 10 optimization cycles, the optimal model was acquired. The results show that, after optimization, the sum of the average Nusselt-number is increased from 3164.16 to 3350.54, which has a positive effect on improving the convection and heat transfer capacity on the windshield effectively. Compared with the initial model, the airflow of the outlet near the windshield is increased from 95.07 g/s to 96.94 g/s, the defrosting time required by the optimal model is reduced by more than 20s. Therefore, the discrete adjoint approach can optimize the complex shape of defrosting duct with multiple parameters effectively, which provides an effective method in the study of automobile defrosting performance.
Zhang, Yunfeng,Chen, Lele,Cao, Yifan,Chen, Si,Xu, Chao,Xing, Jun,Zhang, Kaiguang The Korean Gastric Cancer Association 2020 Journal of gastric cancer Vol.20 No.2
Purpose: Globally, there is a high incidence of gastric cancer (GC). Leucine zipper-EF-hand containing transmembrane protein 1 (LETM1) is reported to play a vital role in several human malignancies. However, there is limited understanding of the role of LETM1 in GC. This study aims to investigate the effects of LETM1 on proliferation, migration, and invasion of GC cells. Materials and Methods: The expression levels of LETM1 in the normal gastric mucosal epithelial cells (GES-1) and GC cells were analyzed by quantitative real-time polymerase chain reaction and western blotting. CCK-8, wound healing, and Transwell invasion assays were performed to evaluate the effect of LETM1 knockdown or overexpression on the proliferation, migration, and invasion of the GC cells, respectively. Additionally, the effect of LETM1 knockdown or overexpression on GC cell apoptosis was determined by flow cytometry. Furthermore, the effect of LETM1 knockdown or overexpression on the expression levels of PI3K/Akt signaling pathway-related proteins was evaluated by western blotting. Results: The GC cells exhibited markedly higher mRNA and protein expression levels of LETM1 than the GES-1 cells. Additionally, the knockdown of LETM1 remarkably suppressed the GC cell proliferation, migration, and invasion, and promoted the apoptosis of GC cells, which were reversed upon LETM1 overexpression. Furthermore, the western blotting analysis indicated that LETM1 facilitates GC progression via the PI3K/Akt signaling pathway. Conclusions: LETM1 acts as an oncogenic gene to promote GC cell proliferation, migration, and invasion via the PI3K/Akt signaling pathway. Therefore, LETM1 may be a potential target for GC diagnosis and treatment.