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Collaborative Filtering Recommendation Model Based on Normalization Method
Gao Yan 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.10
In view of traditional collaborative filtering recommendation does not take into account differences of dimension of user vector and value of evaluation, this paper proposed a collaborative filtering recommendation model based on normalization method. Before calculating the user’s or item’s similarity, the value of evaluation will be normalized to a range of specifications. Then the similarity of user vector will be calculated, and predictions and recommend will be made. The experimental results show that this model could accurately find similar neighbor users or items, and performances of prediction and recommendation have been largely improved.
Gao, Yan,Yip, Hin‐,Lap,Chen, Kung‐,Shih,O’Malley, Kevin M.,Acton, Orb,Sun, Ying,Ting, Guy,Chen, Hongzheng,Jen, Alex K.‐,Y. WILEY‐VCH Verlag 2011 Advanced Materials Vol.23 No.16
<P><B>Surface doping of conjugated polymers</B> is realized by depositing a thin layer of graphene oxide (GO) on top of the polymers. The high proton density and the unique 2D structure of GO facilitate the protonic surface doping of conjugated polymers to achieve high conductivities. This finding represents a new strategy for improving charge transport across the metal/conjugated polymer interface to achieve much improved performance in organic solar cells. </P>
Yan Gao,Ding Yuan,Liyue Gai,Xuelian Wu,Yue Shi,Yumin He,Chaoqi Liu,Changcheng Zhang,Gang Zhou,Chengfu Yuan 고려인삼학회 2021 Journal of Ginseng Research Vol.45 No.3
Background: The decreased renal function is known to be associated with biological aging, of which the main pathological features are chronic inflammation and renal interstitial fibrosis. In previous studies, we reported that total saponins from Panax japonicus (SPJs) can availably protect acute myocardial ischemia. We proposed that SPJs might have similar protective effects for aging-associated renal interstitial fibrosis. Thus, in the present study, we evaluated the overall effect of SPJs on renal fibrosis. Methods: Sprague-Dawley (SD) aging rats were given SPJs by gavage beginning from 18 months old, at 10 ㎎/㎏/d and 60 ㎎/㎏/d, up to 24 months old. After the experiment, changes in morphology, function and fibrosis of their kidneys were detected. The levels of serum uric acid (UA), β2-microglobulin (β2-MG) and cystatin C (Cys C) were assayed with ELISA kits. The levels of extracellular matrix (ECM), matrix metalloproteinases (MMPs), tissue inhibitors of metalloproteinases (TIMPs), inflammatory factors and changes of oxidative stress parameters were examined. Results: After SPJs treatment, SD rats showed significantly histopathological changes in kidneys accompanied by decreased renal fibrosis and increased renal function; As compared with those in 3-month group, the levels of serum UA, Cys C and β2-MG in 24-month group were significantly increased (p < 0.05). Compared with those in the 24-month group, the levels of serum UA, Cys C and β2-MG in the SPJ-H group were significantly decreased. While ECM was reduced and the levels of MMP-2 and MMP-9 were increased, the levels of TIMP-1, TIMP-2 and transforming growth factor-β1 (TGF-β1)/Smad signaling were decreased; the expression level of phosphorylated nuclear factor kappa-B (NF-κB) was down-regulated with reduced inflammatory factors; meanwhile, the expression of nuclear factor erythroid 2-related factor 2-antioxidant response element (Nrf2-ARE) signaling was aggrandized. Conclusion: These results suggest that SPJs treatment can improve age-associated renal fibrosis by inhibiting TGF-β1/Smad, NFκB signaling pathways and activating Nrf2-ARE signaling pathways and that SPJs can be a potentially valuable anti-renal fibrosis drug.
Gao, Chun Yan,Meng, Long-Yue,Piao, Shang Hao,Choi, Hyoung Jin Elsevier 2018 Polymer Vol.140 No.-
<P><B>Abstract</B></P> <P>Conducting polymeric polyaniline hollow spheres (PANI-HS) were fabricated and evaluated as a smart electro-stimuli responsive material, whose both special structure of shorter diffusion length promotes the electron transfer and specific surface area is greatly amplified than solid spheres. The monodisperse polystyrene (PS) seeds were initially synthesized by a facile surfactant-free emulsion polymerization, and then the monomer aniline was adsorbed and polymerized on the sulfonated PS spheres to form the PS/polyaniline (PANI) composites, allowing the PS cores to be removed by a solvent extraction later. The morphology and shell thickness were examined using both scanning electron microscopy and transmission electron microscopy. Fourier transformation infrared spectroscopy affirmed chemical structure of pure PS, PS/PANI and PANI-HS. The dielectric spectra were further analyzed for their electrorheological (ER) characteristics with LCR meter. The homogeneous semi-conducting PANI-HS based ER fluid (10 vol%) exhibited typical ER characteristics according with the conductivity model based on a slope of 1.5.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Hollow polyaniline (PANI-HS) was adopted as an electrorheological (ER) material. </LI> <LI> Its special structure of shorter diffusion length promotes electron transfer. </LI> <LI> PS cores in PS/PANI composite were removed by solvent extraction. </LI> <LI> ER fluid showed typical ER characteristics with a slope of 1.5. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>Conducting polyaniline hollow submicron-sized spheres (PANI-HS) were fabricated and evaluated as a smart electro-stimuli responsive material. Polystyrene (PS) seeds were initially synthesized by a facile surfactant-free emulsion polymerization, and then the aniline was adsorbed and polymerized on the sulfonated PS spheres to form the PS/PANI composites, allowing the PS cores to be removed by a solvent extraction later. Their electrorheological behaviors of hollow PANI based ER fluid (10 vol %) were observed using a rotational rheometer at different electric field strengths, showing dramatic electro-stimuli responsive phase transition.</P> <P>[DISPLAY OMISSION]</P>
NEWTON AND QUASI-NEWTON METHODS FOR EQUATIONS OF SMOOTH COMPOSITIONS OF SEMISMOOTH FUNCTIONS
Gao, Yan 한국전산응용수학회 1999 Journal of applied mathematics & informatics Vol.6 No.3
The Newtom method and the quasi-Newton method for solving equations of smooth compositions of semismooth functions are proposed. The Q-superlinear convergence of the Newton method and the Q-linear convergence of the quasi-Newton method are proved. The present methods can be more easily implemeted than previous ones for this class of nonsmooth equations.
Recommendation Algorithm in Social Network Based on Integrated Assessment Value
Gao Yan 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.6
Considering the probability matrix decomposition model, direct trust and indirect trust, trust propagation, as well as similarity between users and other factors, this paper proposes a new recommendation algorithm which fully taps the trust mechanism, and takes into account the similarity between users. Firstly, a new trust matrix is obtained based on the trust value of social network. Then all the trust relationships are integrated into the recommendation algorithm through the RSTE model. Finally, the prediction score is produced and the recommended list is given. Experimental results on public data sets show that this recommendation algorithm has obvious feasibility and superiority.
Wireless Energy-Harvesting Cognitive Radio with Feature Detectors
( Yan Gao ),( Yunfei Chen ),( Zhibin Xie ),( Guobing Hu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10
The performances of two commonly used feature detectors for wireless energy-harvesting cognitive radio systems are compared with the energy detector under energy causality and collision constraints. The optimal sensing duration is obtained by analyzing the effect of the detection threshold on the average throughput and collision probability. Numerical examples show that the covariance detector has the optimal sensing duration depending on an appropriate choice of the detection threshold, but no optimal sensing duration exists for the ratio of average energy to minimum eigenvalue detector.