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Bifurcations of A Third-Order Common-Base Transistor Circuit
Hou, Jian Jun,Wu, Jing Tang,Du, Xi Yu 대한전자공학회 1992 HICEC:Harbin International Conference on Electroni Vol.1 No.1
This paper reports the dynamics and a great variety of one parameter bifurcation phenomena observed in the laboratory and confirmed by extensive computer simulations for the circuit reported firstly in [2]. The circuit consists of five elements, where the only nonlinear element is a common-base transistor pair with the characteristics of a current-controlled nonlinear resistor. Several strange attractors, the intermittent attractor, periodic windows, cascades of period doubling, period plus two and period minus one phenomena are observed by adjusting the value of L₁. The computer simulation results agree with the experiment results quite nicely. Hopf bifurcation is proved mathematically and the Lyapunov dimensions of several chaotic attractors are derived to confirm the existence of chaos.
A Coumarin-based Fluorescent Sensor for Selective Detection of Copper (II)
Jian-Hong Wang,Xin-Ling Guo,Xu-Feng Hou,Hui-Jun Zhao,Zhao-Yang Luo,Jin Zhao 대한화학회 2014 Bulletin of the Korean Chemical Society Vol.35 No.8
Cu (II) detection is of great importance owing to its significant function in various biological processes. In this report, we developed a novel coumarin-based chemosensor bearing the salicylaldimine unit (2) for Cu2+ selective detection. The results from fluorescence spectra demonstrated that the sensor could selectively recognize Cu2+ over other metal cations and the detection limit is as low as 0.2 μM. Moreover, the confocal fluorescence imaging in HepG2 cells illustrated its potential for biological applications.
( Jun Kong ),( Jian Hou ),( Min Jiang ),( Jinhua Sun ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.6
Segmentation plays an important role in the field of image processing and computer vision. Intuitionistic fuzzy C-means (IFCM) clustering algorithm emerged as an effective technique for image segmentation in recent years. However, standard fuzzy C-means (FCM) and IFCM algorithms are sensitive to noise and initial cluster centers, and they ignore the spatial relationship of pixels. In view of these shortcomings, an improved algorithm based on IFCM is proposed in this paper. Firstly, we propose a modified non-membership function to generate intuitionistic fuzzy set and a method of determining initial clustering centers based on grayscale features, they highlight the effect of uncertainty in intuitionistic fuzzy set and improve the robustness to noise. Secondly, an improved nonlinear kernel function is proposed to map data into kernel space to measure the distance between data and the cluster centers more accurately. Thirdly, the local spatial-gray information measure is introduced, which considers membership degree, gray features and spatial position information at the same time. Finally, we propose a new measure of intuitionistic fuzzy entropy, it takes into account fuzziness and intuition of intuitionistic fuzzy set. The experimental results show that compared with other IFCM based algorithms, the proposed algorithm has better segmentation and clustering performance.
A Novel Text Sample Selection Model for Scene Text Detection via Bootstrap Learning
( Jun Kong ),( Jinhua Sun ),( Min Jiang ),( Jian Hou ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.2
Text detection has been a popular research topic in the field of computer vision. It is difficult for prevalent text detection algorithms to avoid the dependence on datasets. To overcome this problem, we proposed a novel unsupervised text detection algorithm inspired by bootstrap learning. Firstly, the text candidate in a novel form of superpixel is proposed to improve the text recall rate by image segmentation. Secondly, we propose a unique text sample selection model (TSSM) to extract text samples from the current image and eliminate database dependency. Specifically, to improve the precision of samples, we combine maximally stable extremal regions (MSERs) and the saliency map to generate sample reference maps with a double threshold scheme. Finally, a multiple kernel boosting method is developed to generate a strong text classifier by combining multiple single kernel SVMs based on the samples selected from TSSM. Experimental results on standard datasets demonstrate that our text detection method is robust to complex backgrounds and multilingual text and shows stable performance on different standard datasets.
Yu Jian,Li Wen,Hou Guo-jun,Sun Da-peng,Yang Yuan,Yuan Sheng-xian,Dai Zhi-hui,Yin Hao-zan,Sun Shu-han,Huang Gang,Zhou Wei-ping,Yang Fu 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-
Hepatitis B protein x (HBx) has been reported to promote tumorigenesis in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), but the mechanism awaits further investigation. In this study, we found that cFAM210A (a circular RNA derived from the third exon of transcript NM_001098801 of the FAM210A gene; CircBase ID: hsa_circ_0003979) can be silenced by HBx. cFAM210A expression was downregulated and negatively correlated with tumorigenesis in patients with HBV-related HCC. Furthermore, cFAM210A reduced the proliferation, stemness, and tumorigenicity of HCC cells. Mechanistically, HBx increased the N6-methyladenosine (m6A) level of cFAM210A by promoting the expression of RBM15 (an m6A methyltransferase), thus inducing the degradation of cFAM210A via the YTHDF2-HRSP12-RNase P/MRP pathway. cFAM210A bound to YBX1 and inhibited its phosphorylation, suppressing its transactivation function toward MET. These findings suggest the important role of circular RNAs in HBx-induced hepatocarcinogenesis and identify cFAM210A a potential target in the prevention and treatment of HBV-related HCC.
Cheong, Jun Young,Benker, Lothar,Zhu, Jian,Youn, Doo-Young,Hou, Haoqing,Agarwal, Seema,Kim, Il-Doo,Greiner, Andreas Elsevier 2019 Carbon Vol.154 No.-
<P><B>Abstract</B></P> <P>For the last two decades, nanostructured carbon materials have attracted significant attention, as they exhibit unusual physicochemical properties different from their bulk counterpart. Nevertheless, agglomeration and re-stacking of carbon nanostructures have always limited optimal performance, with larger loading amount. To solve this issue, porous and compressible carbon-based sponges have been researched, but most of the previously suggested carbon foams were either not very porous, synthesized at high temperature heat treatment, and/or not applicable for carbon nanoparticles. In this work, we have successfully fabricated ultra-porous (porosity about 98–99%), polyimide-carbon nanoparticle (PI–C) composites by combining Ketjen black nanoparticles with PI short fibers, by simple freeze-drying and subsequent heat treatments at low temperature (240 °C). Based on the analysis, it has been discovered that the fabricated PI-C sponges not only exhibit highly robust mechanical properties but also retain low thermal conductivity even in comparison with pristine PI sponges. This work provides a milestone in fabricating a number of C-electrospun polymeric sponges by freeze drying and subsequent heat treatments, which are expected to be utilized in various fields of research.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
ADRVis : an Information Visualization Platform for Adverse Drug Reactions
Wei Jian-Xiang,Zhu Yun-Xia,Sun Jun,Xu Hou-Ming,Li Ming,Sun Yue-Hong 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.10
Adverse drug reactions (ADRs) are a serious threat to people's lives and property safety. Currently, drug instructions are the main way for people to obtain information on ADRs. Due to drugs’ limited pre-market clinical trials, adverse reactionsstated in drug instructions are often not sufficient. Avisualization platform for ADRs isput forward to address this problem. Adverse drug events (ADEs) data include actual clinical adverse reactions of drugs detected by drug monitoring administrationand can compensate for the insufficiency of drug instructions. Based on drug instructions and ADEs data, ADRVis isrealized by data analysis, model design and JAVA programming. ADRVis presentsthe relationship of 656 common drugs and their respective ADRs. Three case studies show that the platform has the capacities of visual presentation of ADRs and early warning of drug risks.The platform can provide people more rich information about drugs and help them understand ADRs more accurately and comprehensively.
A Coumarin-based Fluorescent Sensor for Selective Detection of Copper (II)
Wang, Jian-Hong,Guo, Xin-Ling,Hou, Xu-Feng,Zhao, Hui-Jun,Luo, Zhao-Yang,Zhao, Jin Korean Chemical Society 2014 Bulletin of the Korean Chemical Society Vol.35 No.8
Cu (II) detection is of great importance owing to its significant function in various biological processes. In this report, we developed a novel coumarin-based chemosensor bearing the salicylaldimine unit (2) for $Cu^{2+}$ selective detection. The results from fluorescence spectra demonstrated that the sensor could selectively recognize $Cu^{2+}$ over other metal cations and the detection limit is as low as $0.2{\mu}M$. Moreover, the confocal fluorescence imaging in HepG2 cells illustrated its potential for biological applications.
Zhou, Wen-xiu,Hou, Wen-bo,Zhou, Chao,Yin, Yu-xia,Lu, Shou-tao,Liu, Guang,Fang, Yi,Li, Jian-wen,Wang, Yan,Liu, Ai-hua,Zhang, Hai-jun The Korean Neurosurgical Society 2021 Journal of Korean neurosurgical society Vol.64 No.2
Objective : Shunt infection is a common complication while treating hydrocephalus. The antibiotic-impregnated shunt catheter (AISC) was designed to reduce shunt infection rate. A meta-analysis was conducted to study the effectiveness of AISCs in reduction of shunt infection in terms of age, follow-up time and high-risk patient population. Methods : This study reviewed literature from three databases including PubMed, EMBASE, and Cochrane Library (from 2000 to March 2019). Clinical studies from controlled trials for shunt operation were included in this analysis. A subgroup analysis was performed based on the patient's age, follow-up time and high-risk population. The fixed effect in RevMan 5.3 software (Cochrane Collaboration) was used for this meta-analysis. Results : This study included 19 controlled clinical trials including 10105 operations. The analysis demonstrated that AISC could reduce the infection rate in shunt surgery compared to standard shunt catheter (non-AISC) from 8.13% to 4.09% (odds ratio [OR], 0.48; 95% confidence interval [CI], 0.40-0.58; p=0.01; I2=46%). Subgroup analysis of different age groups showed that AISC had significant antimicrobial effects in all three groups (adult, infant, and adolescent). Follow-up time analysis showed that AISC was effective in preventing early shunt infections (within 6 months after implant). AISC is more effective in high-risk population (OR, 0.24;95% CI, 0.14-0.40; p=0.60; I2=0%) than in general patient population. Conclusion : The results of meta-analysis indicated that AISC is an effective method for reducing shunt infection. We recommend that AISC should be considered for use in infants and high-risk groups. For adult patients, the choice for AISC could be determined based on the treatment cost.