Adsorption behavior of metal oxides (CuO, NiO, Ag2O) modified GeSe monolayer towards dissolved gases (CO, CH4, C2H2, C2H4) in transformer oil

Yingang Gui,Zhicheng Liu,Chang Ji,Lingna Xu,Xianping Chen 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.112 No.-

In this study, the adsorption behavior of CuO-GeSe, NiO-GeSe, and Ag2O-GeSe towards the main dissolvedgases CO, CH4, C2H2, and C2H4 in transformer oil was systematically studied based on DFT. The adsorptionstructure, band structure, density of states, deformation charge density, and molecular orbit were analyzedto explore the interaction between the modified monolayers and gases. The results show thatthe adsorption of the four target gases on pristine GeSe belongs to weak physical adsorption. Metal oxidesmodification improves the conductivity of GeSe, and the formation of numerous triangular structuresmakes the modified substrates hard to deform during gas adsorption. Due to the poor gas sensitivityand extremely short recovery time of CH4 on CuO-GeSe, NiO-GeSe, and Ag2O-GeSe, these three modifiedstructures are not suitable to be used as a material for detecting CH4. The conductivity of MO-GeSechanges in different degrees after adsorbing CO, C2H2, and C2H4. The gases can be detected accordingto the different change rule of conductivity upon adsorption. In addition, gas desorption from the substratecan be achieved by controlling the temperature. This study provides a theoretical basis for theapplication of gas sensors used in DGA.

High performance phosphorus-modified ZSM-5 zeolite for butene catalytic cracking

Xionghou Gao,Zhicheng Tang,Haitao Zhang,Conghua Liu,Zhongdong Zhang,Gongxuan Lu,Dong Ji 한국화학공학회 2010 Korean Journal of Chemical Engineering Vol.27 No.3

Phosphorus-modified ZSM-5 zeolites were prepared with a novel method, hydrothermal dispersion. XRD showed that the catalysts prepared by the hydrothermal dispersion had better hydrothermal stability than that by impregnation. At the same time, more pronounced cracking activity and higher yield of ethylene plus propylene were obtained on the phosphorus-modified ZSM-5 catalysts prepared by hydrothermal dispersion. Highest yield of ethylene plus propylene was obtained when the loading of phosphorus was 0.68%. The higher amount of phosphorus fixed on the pores of zeolite, higher hydrothermal stability and appropriate acid amount were the possible reasons for obtaining higher yield of ethylene plus propylene.

A Novel Role of Hyaluronic Acid and Proteoglycan Link Protein 1 (HAPLN1) in Delaying Vascular Endothelial Cell Senescence

Zhou Dan,Jang Ji Min,Yang Goowon,Ha Hae Chan,Fu Zhicheng,Kim Dae Kyong 한국응용약물학회 2023 Biomolecules & Therapeutics(구 응용약물학회지) Vol.31 No.6

Cardiovascular diseases (CVDs) are the most common cardiovascular system disorders. Cellular senescence is a key mechanism associated with dysfunction of aged vascular endothelium. Hyaluronic acid and proteoglycan link protein 1 (HAPLN1) has been known to non-covalently link hyaluronic acid (HA) and proteoglycans (PGs), and forms and stabilizes HAPLN1-containing aggregates as a major component of extracellular matrix. Our previous study showed that serum levels of HAPLN1 decrease with aging. Here, we found that the HAPLN1 gene expression was reduced in senescent human umbilical vein endothelial cells (HUVECs). Moreover, a recombinant human HAPLN1 (rhHAPLN1) decreased the activity of senescence-associated β-gal and inhibited the production of senescence-associated secretory phenotypes, including IL-1β, CCL2, and IL-6. rhHAPLN1 also downregulated IL-17A levels, which is known to play a key role in vascular endothelial senescence. In addition, rhHAPLN1 protected senescent HUVECs from oxidative stress by reducing cellular reactive oxygen species levels, thus promoting the function and survival of HUVECs and leading to cellular proliferation, migration, and angiogenesis. We also found that rhHAPLN1 not only increases the sirtuin 1 (SIRT1) levels, but also reduces the cellular senescence markers levels, such as p53, p21, and p16. Taken together, our data indicate that rhHAPLN1 delays or inhibits the endothelial senescence induced by various aging factors, such as replicative, IL-17A, and oxidative stress-induced senescence, thus suggesting that rhHAPLN1 may be a promising therapeutic for CVD and atherosclerosis.

An Efficient Privacy Preserving Scheme for Distributed Data Aggregation in Smart Grid

Jie Yuan,Yan Wang,Zhicheng Ji 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.6

Privacy-preserving data aggregation in smart grids has been intensively studied to balance utility and privacy requirements. Existing contributions usually rely on a trusted aggregator to process electric power data and then apply privacy preservation strategies to protect the aggregate data. However, the privacy of individuals will be revealed once the aggregator is hacked or cannot be trusted. By injecting independent Gaussian noise into the response to the query before performing aggregation, a distributed Gaussian mechanism is designed to eliminate the negative effect of the untrusted aggregator. Equipping the distributed Gaussian mechanism with a post-processing step based on the moving average filtering technique, an efficient privacy-preserving scheme is proposed to improve individual electric power data utility. The experiments conducted on the real-world datasets show that the proposed scheme can improve the utility of electric power data while protecting the privacy of individual data.

Parameter Identification of Wiener Models by Multi-innovation Algorithms

Jian Yao,Yanping Huang,Zhicheng Ji 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.6

An output nonlinear Wiener system is rewritten as a standard least squares form by reconstructing the input-output items of its difference equation. Multi-innovation based stochastic gradient (MISG) algorithm and its derivate algorithms are introduced to formulate identification methods of Wiener models. In order to increase the convergence performance of stochastic gradient (SG) algorithm, the scalar innovation in SG algorithm is expanded to an innovation vector which contains more information about input-output data. Furthermore, a proper forgetting factor for SG algorithm is intro-duced to get a faster convergence rates. The comparisons of convergence performance and estimation errors of proposed algorithms are illustrated by two numerical simulation examples.

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

Purkayastha Subhanik,Xiao Yanhe,Jiao Zhicheng,Thepumnoeysuk Rujapa,Halsey Kasey,Wu Jing,Tran Thi My Linh,Hsieh Ben,Choi Ji Whae,Wang Dongcui,Vallières Martin,Wang Robin,Collins Scott,Feng Xue,Feldman 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.7

Objective: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables. Materials and Methods: Clinical data were collected from 981 patients from a multi-institutional international cohort with real-time polymerase chain reaction-confirmed COVID-19. Radiomics features were extracted from chest CT of the patients. The data of the cohort were randomly divided into training, validation, and test sets using a 7:1:2 ratio. A ML pipeline consisting of a model to predict severity and time-to-event model to predict progression to critical illness were trained on radiomics features and clinical variables. The receiver operating characteristic area under the curve (ROC-AUC), concordance index (C-index), and time-dependent ROC-AUC were calculated to determine model performance, which was compared with consensus CT severity scores obtained by visual interpretation by radiologists. Results: Among 981 patients with confirmed COVID-19, 274 patients developed critical illness. Radiomics features and clinical variables resulted in the best performance for the prediction of disease severity with a highest test ROC-AUC of 0.76 compared with 0.70 (0.76 vs. 0.70, p = 0.023) for visual CT severity score and clinical variables. The progression prediction model achieved a test C-index of 0.868 when it was based on the combination of CT radiomics and clinical variables compared with 0.767 when based on CT radiomics features alone (p < 0.001), 0.847 when based on clinical variables alone (p = 0.110), and 0.860 when based on the combination of visual CT severity scores and clinical variables (p = 0.549). Furthermore, the model based on the combination of CT radiomics and clinical variables achieved time-dependent ROC-AUCs of 0.897, 0.933, and 0.927 for the prediction of progression risks at 3, 5 and 7 days, respectively. Conclusion: CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.

Novel Effect of Hyaluronan and Proteoglycan Link Protein 1 (HAPLN1) on Hair Follicle Cells Proliferation and Hair Growth

Ha Hae Chan,Zhou Dan,Fu Zhicheng,Back Moon Jung,Jang Ji Min,Shin In Chul,Kim Dae Kyong 한국응용약물학회 2023 Biomolecules & Therapeutics(구 응용약물학회지) Vol.31 No.5

Hair loss is a common condition that can have a negative impact on an individual’s quality of life. The severe side effects and the low efficacy of current hair loss medications create unmet needs in the field of hair loss treatment. Hyaluronan and Proteoglycan Link Protein 1 (HAPLN1), one of the components of the extracellular matrix, has been shown to play a role in maintaining its integrity. HAPLN1 was examined for its ability to impact hair growth with less side effects than existing hair loss treatments. HAPLN1 was predominantly expressed in the anagen phase in three stages of the hair growth cycle in mice and promotes the proliferation of human hair matrix cells. Also, recombinant human HAPLN1 (rhHAPLN1) was shown to selectively increase the levels of transforming growth factor-β receptor II in human hair matrix cells. Furthermore, we observed concomitant activation of the ERK1/2 signaling pathway following treatment with rhHAPLN1. Our results indicate that rhHAPLN1 elicits its cell proliferation effect via the TGF-β2-induced ERK1/2 pathway. The prompt entering of the hair follicles into the anagen phase was observed in the rhHAPLN1- treated group, compared to the vehicle-treated group. Insights into the mechanism underlying such hair growth effects of HAPLN1 will provide a novel potential strategy for treating hair loss with much lower side effects than the current treatments.

Recombinant Human HAPLN1 Mitigates Pulmonary Emphysema by Increasing TGF-β Receptor I and Sirtuins Levels in Human Alveolar Epithelial Cells

김대경,Yongwei Piao,So Yoon Yun,Zhicheng Fu,Ji Min Jang,Moon Jung Back,Ha Hyung Kim 한국분자세포생물학회 2023 Molecules and cells Vol.46 No.9

Chronic obstructive pulmonary disease (COPD) will be the third leading cause of death worldwide by 2030. One of its components, emphysema, has been defined as a lung disease that irreversibly damages the lungs’ alveoli. Treatment is currently unavailable for emphysema symptoms and complete cure of the disease. Hyaluronan (HA) and proteoglycan link protein 1 (HAPLN1), an HA-binding protein linking HA in the extracellular matrix to stabilize the proteoglycan structure, forms a bulky hydrogel-like aggregate. Studies on the biological role of the full-length HAPLN1, a simple structure-stabilizing protein, are limited. Here, we demonstrated for the first time that treating human alveolar epithelial type 2 cells with recombinant human HAPLN1 (rhHAPLN1) increased TGF-β receptor 1 (TGF-β RI) protein levels, but not TGF-β RII, in a CD44-dependent manner with concurrent enhancement of the phosphorylated Smad3 (p-Smad3), but not p-Smad2, upon TGF-β1 stimulation. Furthermore, rhHAPLN1 significantly increased sirtuins levels (i.e., SIRT1/2/6) without TGF-β1 and inhibited acetylated p300 levels that were increased by TGF-β1. rhHAPLN1 is crucial in regulating cellular senescence, including p53, p21, and p16, and inflammation markers such as p-NF-κB and Nrf2. Both senile emphysema mouse model induced via intraperitoneal rhHAPLN1 injections and porcine pancreatic elastase (PPE)-induced COPD mouse model generated via rhHAPLN1-containing aerosols inhalations showed a significantly potent efficacy in reducing alveolar spaces enlargement. Preclinical trials are underway to investigate the effects of inhaled rhHAPLN1-containing aerosols on several COPD animal models.

Hyaluronic acid and proteoglycan link protein 1 suppresses platelet‑derived growth factor-BB-induced proliferation, migration, and phenotypic switching of vascular smooth muscle cells

주단,Hae Chan Ha,양구원,Ji Min Jang,박보경,Zhicheng Fu,In Chul Shin,김대경 생화학분자생물학회 2023 BMB Reports Vol.56 No.8

The development of atherosclerotic cardiovascular disease isassociated with the phenotypic switching of vascular smoothmuscle cells (SMCs) from a contractile to a synthetic state,leading to cell migration and proliferation. Platelet‑derivedgrowth factor‑BB (PDGF‑BB) modulates this de-differentiationby initiating a number of biological processes. In this study,we show that gene expression of hyaluronic acid (HA) andproteoglycan link protein 1 (HAPLN1) was upregulated duringdifferentiation of human aortic SMCs (HASMCs) into a contractilestate, but downregulated upon during PDGF-BB-induced dedifferentiation. This is the first study showing that the treatmentof HASMCs with full-length recombinant human HAPLN1(rhHAPLN1) significantly reversed PDGF-BB-induced decreasein the protein levels of contractile markers (SM22α, α-SMA,calponin, and SM-MHC), and inhibited the proliferation andmigration of HASMCs induced by PDGF-BB. Furthermore, ourresults show that rhHAPLN1 significantly inhibited thephosphorylation of FAK, AKT, STAT3, p38 MAPK and Rafmediated by the binding of PDGF-BB to PDGFRβ. Together,these results indicated that rhHAPLN1 can suppress thePDGF-BB-stimulated phenotypic switching and subsequentde-differentiation of HASMCs, highlighting its potential as anovel therapeutic target for atherosclerosis and other vasculardiseases.

Guaranteed Fault-estimation Algorithm Based on Interval Set Inversion Observer Filtering

Ziyun Wang,Mengdi Zhang,Yuqian Chen,Yan Wang,Zhicheng Ji 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.11

A guaranteed fault-estimation algorithm based on interval set inversion observer filtering is proposed for linear discrete-time systems with unknown but bounded disturbance and noise. The minimal conservative interval observer is designed by minimizing the F-norm of the state error. Vector Boolean operations and dimensional operations are used to develop a new interval set inversion algorithm to further contract the guaranteed interval estimation results of the observer. The computational complexity, memory requirements, and accuracy of the proposed algorithm are also analyzed. Finally, simulation examples are provided to verify the efficiency and practicability of the proposed algorithm.