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Chen‑Song Wang,Ni Suo,Hao Huang,Ai‑min Wu,Guo‑Zhong Cao,Gui‑Feng Zhang 한국탄소학회 2019 Carbon Letters Vol.29 No.5
Boron-doped amorphous carbon (BDAC) thin films with a regular oxygen reduction reaction (ORR) catalytic activity were synthesized in a hot filament chemical vapor deposition device using a mixture of CH4 and H2 as a gas source and B2O3 as a boron source and then oxidized in air at 380–470 °C for 15–75 min. Scanning electron microscope, transmission electron microscope, Raman spectroscopy, X-ray photoelectron spectroscopy, and electrochemical tests were used to characterize the physical and electrochemical properties of the BDAC catalysts. It was concluded that the BDAC catalyst oxidized at 450 °C for 45 min showed the best ORR catalytic activity in alkaline medium. The oxygen reduction potential and the transfer electron number n, respectively, are − 0.286 V versus Ag/AgCl and 3.24 from the rotating disk electrode experiments. The treated carbon film has better methanol resistance and stability than the commercial Pt/C catalyst.
Adaptive Control based on Extended Neural Network for SISO Uncertain Nonlinear Systems
Hao-guang Chen,Yin-He Wang,Li-li Zhang 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.1
This paper proposes a novel adaptive control criterion for a class of single-input-single-output (SISO) uncertain nonlinear systems by using extended neural networks (ENNs). Distinguished from the traditional neural networks, our ENNs are composed of radial basis function neural networks (RBFNNs), scalers and saturators. And these ENNs are used to approximate the uncertainties in the nonlinear systems. Based on the Lyapunov stability theory and our ENNs, an adaptive control scheme is designed to guarantee that all the signals in the closed-loop system are uniformly ultimately bounded (UUB). It is also worth pointing out that our control method makes the construction of RBFNNs and the design of adaptive laws separated, which means only the outputs of ENNs and one update law of the parameter in the scaler are to be adjusted. Thus, our control scheme can effectively reduce the online computation burden of the adaptive parameters. Finally, simulation examples are given to verify the effectiveness of our theoretical result.
Chen Hao,Zhang Dong-Ming,Zhang Zhi-Ping,Li Ming-Zhang,Wu Hai-Feng 한국유전학회 2021 Genes & Genomics Vol.43 No.12
Background Mitochondrial unfolded protein response plays an important role in the occurrence and development of breast cancer. However, the role of mitochondrial unfolded protein response (UPRmt) in the sensitivity of breast cancer to cisplatin chemotherapy has not yet been cleared. Objectives The purpose of this study is to explore the role of mitochondrial unfolded protein response in breast cancer sensitivity to cisplatin. Methods In this study, qRT-PCR, Western blotting, Immunofuorescence, CCK-8, Colony formation, Transwell assay and TUNEL staining assay were used to confrm the role of UPRmt in breast cancer cells treated with cisplatin. Results Cisplatin increased the levels of UPRmt including CLPP, HSP60, LONP1 in MCF7 and MDA-MB-231 cells. UPRmt inducer Nicotinamide ribose (NR) could promote the proliferation and invasion of breast cancer cells treated with cisplatin. Importantly, SIRT3 was discovered to increase UPRmt in breast cancer cells and silencing of SIRT3 could inhibit the efect of NR in breast cancer. Conclusions UPRmt regulated by SIRT3 could protect breast cancer cell from cisplatin. Controlling SIRT3-induced UPR may be a potential therapeutic target to increase the sensitivity of breast cancer chemotherapy.
Hao-Yu Wang,Jin-Tao Ren,Chen-Chen Weng,Xian-Wei Lv,Zhong-Yong Yuan 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.100 No.-
Highly efficient and ultrastable nonprecious metal-based electrocatalysts are promising alternatives toplatinum (Pt)-based catalysts in electrocatalyzing oxygen reduction reaction (ORR) process. In thepresent work, nitrogen and sulfur dual-doped hierarchically porous carbon with trapped Mn species(MnNSC-950) was fabricated, which integrates the modulation of the electronic structure for boostedintrinsic activity with the engineering of hierarchical porosity for enriched active sites. The MnNSC-950shows a positive onset potential of 0.95 V and a large limiting current density of 5.4 mA cm 2, which canrival that of the commercial Pt/C catalyst in 0.1 M KOH, together with a robust long-term stability. Moreover, the MnNSC-950 as ORR catalyst in Zn-air battery achieves a high power density of107 mW cm 2 and robust cycling performance over 150 h, exceeding that driven by Pt/C cathode. Theexcellent electrochemical performance is also shown in both neutral and acidic media. This workprovides an enabling route to prepare non-noble metal-based catalysts featuring well-engineeredgeometric and component peculiarities for practical application of energy conversion systems.
Effective Video Coding algorithm for Substation Video and Environment Surveillance System
Chen, Hao,Gao, Ya The Korean Institute of Electrical Engineers 2014 The Journal of International Council on Electrical Vol.4 No.3
Guangdong Power Grid Corporation has put forward and implemented based on IP network digital, Linux, industrial grade layered architecture of substation video and environment surveillance system. In order to improve video coding efficiency and meet requirements of users on HD images resolution of substation video and environment surveillance system, this paper proposes an improved implicit motion information inter prediction algorithm for P slice in H.264 based on the spatio-temporal adaptive localized learning model. This algorithm essentially takes advantage of the temporal and spatial correlations that may exist within frames at the block level, and reduces the bits required for encoding motion information while retaining or even improving encoding quality. The simulation results show that the proposed algorithm improves encoding efficiency compared with the H.264 standard with 0.10 dB (QCIF) and 0.17 dB (WQVGA) average PSNR gain, with relatively increase in complexity.
China Consensus Document on Allergy Diagnostics
Chen Hao,Li Jing,Cheng Lei,Gao Zhongshan,Lin Xiaoping,Zhu Rongfei,Yang Lin,Tao Ailin,Hong Haiyu,Tang Wei,Guo Yinshi,Huang Huaiqiu,Sun Jinlyu,Lai He,Lei Cheng,Liu Guanghui,Xiang Li,Chen Zhuanggui,Ma Ha 대한천식알레르기학회 2021 Allergy, Asthma & Immunology Research Vol.13 No.2
The prevalence of allergic diseases has increased dramatically in recent years in China, affecting the quality of life in 40% of the population. The identification of allergens is the key to the diagnosis of allergic diseases. Presently, several methods of allergy diagnostics are available in China, but they have not been standardized. Additionally, cross-sensitization and co-sensitization make allergy diagnostics even more complicated. Based on 4 aspects of allergic disease (mechanism, diagnosis procedures, allergen detection in vivo and in vitro as well as the distribution map of the most important airborne allergens in China) and by referring to the consensus of the European Society of Allergy and Clinical Immunology, the World Allergy Organization, and the important literature on allergy diagnostics in China in recent years, we drafted this consensus of allergy diagnostics with Chinese characteristics. It aims to standardize the diagnostic methods of allergens and provides a reference for health care givers. The current document was prepared by a panel of experts from the main stream of professional allergy associations in China.