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Hyperosmolarity promotes macrophage pyroptosis by driving the glycolytic reprogramming of corneal epithelial cells in dry eye disease

《医学前沿(英文)》 2023年 第17卷 第4期   页码 781-795 doi: 10.1007/s11684-023-0986-x

摘要: Tear film hyperosmolarity plays a core role in the development of dry eye disease (DED) by mediating the disruption of ocular surface homeostasis and triggering inflammation in ocular surface epithelium. In this study, the mechanisms involving the hyperosmolar microenvironment, glycolysis mediating metabolic reprogramming, and pyroptosis were explored clinically, in vitro, and in vivo. Data from DED clinical samples indicated that the expression of glycolysis and pyroptosis-related genes, including PKM2 and GSDMD, was significantly upregulated and that the secretion of IL-1β significantly increased. In vitro, the indirect coculture of macrophages derived from THP-1 and human corneal epithelial cells (HCECs) was used to discuss the interaction among cells. The hyperosmolar environment was found to greatly induce HCECs’ metabolic reprogramming, which may be the primary cause of the subsequent inflammation in macrophages upon the activation of the related gene and protein expression. 2-Deoxy-d-glucose (2-DG) could inhibit the glycolysis of HCECs and subsequently suppress the pyroptosis of macrophages. In vivo, 2-DG showed potential efficacy in relieving DED activity and could significantly reduce the overexpression of genes and proteins related to glycolysis and pyroptosis. In summary, our findings suggested that hyperosmolar-induced glycolytic reprogramming played an active role in promoting DED inflammation by mediating pyroptosis.

关键词: dry eye disease     glycolytic reprogramming     pyroptosis     inflammation     2-DG    

基于量子元胞自动机的可逆二进制减法器设计 Article

Jadav Chandra DAS, Debashis DE

《信息与电子工程前沿(英文)》 2017年 第18卷 第9期   页码 1416-1429 doi: 10.1631/FITEE.1600999

摘要: 我们利用QCA设计并实现了一个DG门,实现了DG门的普遍特征。利用该DG门的QCA部分,可以获得新的可逆二进制减法器。相比现有可逆减法器,我们设计的减法器量子成本低,无用输出少。

关键词: 量子元胞自动机(quantum dot-cellular automata     QCA);可逆逻辑;DG门;二进制减法器;量子成本    

State-of-art review of the optimization methods to design the configuration of hybrid renewable energy systems (HRESs)

Maurizio FACCIO, Mauro GAMBERI, Marco BORTOLINI, Mojtaba NEDAEI

《能源前沿(英文)》 2018年 第12卷 第4期   页码 591-622 doi: 10.1007/s11708-018-0567-x

摘要: The current research aims to present an inclusive review of latest research works performed with the aim of improving the efficiency of the hybrid renewable energy systems (HRESs) by employing diverse ranges of the optimization techniques, which aid the designers to achieve the minimum expected total cost, while satisfying the power demand and the reliability. For this purpose, a detailed analysis of the different classification drivers considering the design factors such as the optimization goals, utilized optimization methods, grid type as well as the investigated technology has been conducted. Initial results have indicated that of all optimization goals, load demand parameters including loss of power supply probability (LPSP) and loss of load probability (LLP), cost, sizing (configuration), energy production, and environmental emissions are the most frequent design variables which have been cited the most. Another result of this paper indicates that almost 70% of the research projects have been dedicated toward the optimization of the off-grid applications of the HRESs. Furthermore, it has been demonstrated that, integration of the PV, wind and battery is the most frequent configuration. In the next stage of the paper, a review concerning the sizing methods has also been carried out to outline the most common techniques which are used to configure the components of the HRESs. In this regard, an analysis covering the optimized indicators such as the cost drivers, energy index parameters, load indicators, battery’s state of charge, PV generator area, design parameters such as the LPSP, and the wind power generation to load ratio, has also been performed.

关键词: hybrid renewable energy systems (HRESs)     design and optimization     environmental pollutions     PV array     wind turbines (WTs)     inverter     diesel generator (DG)    

A new technique for islanding operation of distribution network connected with mini hydro

J. A. LAGHARI,H. MOKHLIS,M. KARIMI,A. H. A. BAKAR,Hasmaini MOHAMAD

《信息与电子工程前沿(英文)》 2015年 第16卷 第5期   页码 418-427 doi: 10.1631/FITEE.1400309

摘要: An islanding operation of a distribution network is a topic of interest due to the significant penetration of distributed generation (DG) in a power system network. However, controlling the frequency of an islanded distribution system remains an unresolved issue, especially when the load exceeds the generation. This paper presents a new technique for a successful islanding operation of a distribution network connected with multiple mini hydro based DGs. The proposed technique is based on three main parts. The first part uses an islanding detection technique to detect the islanding event correctly. The second part consists of a power imbalance estimation module (PIEM), which determines the power imbalance between the generation and load demand. The third part consists of a load shedding controller, which receives the power imbalance value and performs load shedding according to load priority. The proposed technique is validated on an 11 kV existing Malaysia distribution network. The simulation results show that the proposed technique is effective in performing a successful islanding operation by shedding a significant number of loads.

关键词: Islanding operation     Mini hydro     Distributed generation (DG)     Islanding detection     Load shedding    

intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based DG

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

《能源前沿(英文)》 2015年 第9卷 第1期   页码 75-90 doi: 10.1007/s11708-014-0337-3

摘要: In this paper, a passive neuro-wavelet based islanding detection technique for grid-connected inverter-based distributed generation was developed. The weight parameters of the neural network were optimized by intelligent water drop (IWD) to improve the capability of the proposed technique in the proposed problem. The proposed method utilizes and combines wavelet analysis and artificial neural network (ANN) to detect islanding. Connecting distributed generator to the distribution network has many benefits such as increasing the capacity of the grid and enhancing the power quality. However, it gives rise to many problems. This is mainly due to the fact that distribution networks are designed without any generation units at that level. Hence, integrating distributed generators into the existing distribution network is not problem-free. Unintentional islanding is one of the encountered problems. Discrete wavelet transform (DWT) is capable of decomposing the signals into different frequency bands. It can be utilized in extracting discriminative features from the acquired voltage signals. In passive schemes with a large non-detection zone (NDZ), concern has been raised on active method due to its degrading power quality effect. The main emphasis of the proposed scheme is to reduce the NDZ to as close as possible and to keep the output power quality unchanged. The simulation results from Matlab/Simulink shows that the proposed method has a small non-detection zone, and is capable of detecting islanding accurately within the minimum standard time.

关键词: islanding detection     neuro-wavelet     intelligent water drop (IWD)     non-detection zone (NDZ)     distributed generation (DG)    

第三届环境、工业和能源工程国际会议(EI2E 2019)

会议日期: 2019年09月19日

会议地点: 宁夏银川

主办单位: APISE

第四届设计、机械和材料工程国际会议(D2ME 2019)

会议日期: 2019年09月26日

会议地点: 釜山,韩国

主办单位: HKSME

第四届设计、机械和材料工程国际会议(D2ME 2019)

会议日期: 2019年09月26日

会议地点: 釜山,韩国

主办单位: HKSME

标题 作者 时间 类型 操作

Hyperosmolarity promotes macrophage pyroptosis by driving the glycolytic reprogramming of corneal epithelial cells in dry eye disease

期刊论文

基于量子元胞自动机的可逆二进制减法器设计

Jadav Chandra DAS, Debashis DE

期刊论文

State-of-art review of the optimization methods to design the configuration of hybrid renewable energy systems (HRESs)

Maurizio FACCIO, Mauro GAMBERI, Marco BORTOLINI, Mojtaba NEDAEI

期刊论文

A new technique for islanding operation of distribution network connected with mini hydro

J. A. LAGHARI,H. MOKHLIS,M. KARIMI,A. H. A. BAKAR,Hasmaini MOHAMAD

期刊论文

intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based DG

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

期刊论文

第三届环境、工业和能源工程国际会议(EI2E 2019)

2019年09月19日

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第四届设计、机械和材料工程国际会议(D2ME 2019)

2019年09月26日

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