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The Role of Reputation in Ubiquitous Healthcare System
( Weiwei Yuan ),( Donghai Guan ),( Sungyoung Lee ) 한국정보처리학회 2007 한국정보처리학회 학술대회논문집 Vol.14 No.1
In this work, we analyze the role of reputation in ubiquitous healthcare system as well as the relationship of security, trust and reputation in this environment in details. In addition, an example is given to show how to use reputation system in ubiquitous healthcare and how to use reputation system on decision making.
Weiwei Ma,Bingjie Ding,Huanling Yu,Linhong Yuan,Yuandi Xi,Rong Xiao 한국식품영양과학회 2015 Journal of medicinal food Vol.18 No.3
Genistein (GEN), a major soybean isoflavone (SIF), might possess neuroprotective properties through its antiinflammatory activity. We hypothesized that GEN could prevent the inflammatory damage detected in C6 cells induced by β-amyloid peptides 25-35 (Aβ25-35). Accordingly, we evaluated the inflammatory damage induced by Aβ25-35 and the protective effect of GEN against Aβ25-35 in C6 cells. In our study, the C6 glial cells (rats glioma cell lines) were preincubated with or without GEN for 2 h following incubation with Aβ25-35 for another 24 h. Then, methylthiazolyl tetrazolium (MTT) assay was used to assess the cell viability. Immunofluorescence staining was used to identify the C6 cells. Inflammatory factors tumor necrosis factor (TNF)-α and interleukin (IL)-1β were analyzed by using enzyme-linked immunosorbent assay (ELISA). Western blot analysis and reverse transcription-polymerase chain reaction analysis were performed to assess the expression of Toll-like receptors 4 (TLR4), inhibitor of kappaB-alpha (IκB-α). The current results showed that GEN could alleviate Aβ25-35-induced cell apoptosis and prevent Aβ25-35-induced TNF-α and IL-1β release from C6 cells. In addition, GEN prevented Aβ25-35-induced upregulation of the gene and protein expression of TLR4, and GEN significantly upregulated the expression of IκB-α in C6 cells damaged by Aβ25-35. These results suggest that GEN can alleviate the inflammatory stress caused by Aβ25-35 treatment, which might be associated with the neuroprotective effect of GEN regulating the TLR4/NFκB signaling pathway.
Yuan Song,Xiangqun Wu,Di Yang,Fang Fang,Lingshi Meng,Ya Liu,Weiwei Cui 한국식품영양과학회 2020 Journal of medicinal food Vol.23 No.4
Much research has indicated that alcoholic liver disease (ALD) is associated with oxidative stress and inflammation induced by ethanol, and that numerous antioxidants could effectively alleviate such injuries. Moreover, recent studies have identified andrographolide (AD) as having strong anti-inflammatory and antioxidant activities, which can block oxidative damage associated with nuclear factor kappa B (NF-κB)-mediated inflammation. However, the biological role and potential mechanism of AD in its protection against ALD have not been fully characterized. To observe the possible effect of AD, male C57BL/6J mice received ethanol through intragastrical gavage for 12 weeks in this study. The ethanol group was separated into five subgroups: (1) model group (n = 10); (2) silymarin group (0.1 mg/g body weight [BW], n = 10); (3) AD (0.05 mg/g BW) group (n = 10); (4) AD (0.1 mg/g BW) group (n = 10); and (5) AD (0.2 mg/g BW) group (n = 10). Mice in AD groups were treated orally by gavage once per day. The experimental results show that serum aminotransferase, liver lipids, lipid peroxidation, and antioxidant capacities were significantly changed in the model group after alcohol treatment, and the liver tissue histological findings showed pathological changes. Compared with the model group, treatment with AD improved serum aminotransferase, liver function, lipid accumulation, and hepatic reactive oxygen species levels. And AD decreased the hepatic NF-κB and tumor necrosis factor alpha (TNF-α) protein expression of ALD mice. This research demonstrated that AD can alleviate liver pathological injury and oxidative stress in mice exposed to ethanol by decreasing the expression of NF-κB and TNF-α.
Rectifying resistance switching behaviors of SnO2 microsphere films modulated by top electrodes
Rongchun Yuan,Weiwei Xia,Mengxue Xu,Zhilei Miao,Shudong Wu,Xiuyun Zhang,Junhui He,Qiang Wang 한국물리학회 2020 Current Applied Physics Vol.20 No.3
Based on the bipolar resistive switching (RS) characteristics of SnO2 films, we have fabricated a new prototypical device with sandwiched structure of Metal/SnO2/fluorine-doped tin oxide (FTO). The SnO2 microspheres film was grown on FTO glass by template-free hydrothermal synthesis, which was evaporated with various commonly used electrodes such as aluminium (Al), silver (Ag), and gold (Au), respectively. Typical self-rectifying resistance switching behaviors were observed for the RS devices with Al and Au electrodes. However, no obvious rectifying resistance switching behavior was observed for the RS device with Ag electrode. Above results were interpreted by considering the different interface barriers between SnO2 and top metal electrodes. Our current studies pave the ways for modulating the self-rectifying resistance switching properties of resistive memory devices by choosing suitable metal electrodes.
Nearest neighbor editing aided by unlabeled data
Guan, Donghai,Yuan, Weiwei,Lee, Young-Koo,Lee, Sungyoung Elsevier 2009 Information sciences Vol.179 No.13
<P><B>Abstract</B></P><P>This paper proposes a novel method for nearest neighbor editing. Nearest neighbor editing aims to increase the classifier’s generalization ability by removing noisy instances from the training set. Traditionally nearest neighbor editing edits (removes/retains) each instance by the voting of the instances in the training set (labeled instances). However, motivated by semi-supervised learning, we propose a novel editing methodology which edits each training instance by the voting of all the available instances (both labeled and unlabeled instances). We expect that the editing performance could be boosted by appropriately using unlabeled data. Our idea relies on the fact that in many applications, in addition to the training instances, many unlabeled instances are also available since they do not need human annotation effort. Three popular data editing methods, including edited nearest neighbor, repeated edited nearest neighbor and All <I>k</I>-NN are adopted to verify our idea. They are tested on a set of UCI data sets. Experimental results indicate that all the three editing methods can achieve improved performance with the aid of unlabeled data. Moreover, the improvement is more remarkable when the ratio of training data to unlabeled data is small.</P>