Huang-Lin Error Correcting Code and the Circuit

Bing Shan Lin,Yuan Shan Huang,Zheng Quan Ren 대한전자공학회 1995 ICEIC:International Conference on Electronics, Inf Vol.1 No.1

Decreased Expression of LKB1 Correlates with Poor Prognosis in Hepatocellular Carcinoma Patients Undergoing Hepatectomy

Huang, Yue-Han,Chen, Zhen-Kun,Huang, Ka-Te,Li, Peng,He, Bin,Guo, Xu,Zhong, Jun-Qiao,Zhang, Qi-Yu,Shi, Hong-Qi,Song, Qi-Tong,Yu, Zheng-Ping,Shan, Yun-Feng Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.3

Aim: To study any correlation of LKB1 expression with prognosis in hepatocellular carcinoma (HCC) cases. Methods: A total of 70 HCC patients and 20 primary intrahepatic stone patients in the first affiliated hospital of Wenzhou Medical College were enrolled in this study. LKB1 expression was detected by immunohistochemistry. Patients were followed-up and prognostic factors were evaluated. Result: LKB1 expression was decreased in the HCC samples. Loss of LKB1 expression in HCC was significantly related to histologic grade (P=0.010), vascular invasion (P=0.025) and TMN stage (P=0.011). Patients showing negative LKB1 expression had a significantly shorter disease-free and overall survival than those with positive expression (P = 0.001, P=0.000, respectively). Multivariate Cox regression analysis indicated that LKB1 expression level was an independent factor of survival (P = 0.033). Conclusion: HCC patients with decreased expression LKB1 have a poor prognosis. The loss of LKB1 expression is correlated with a lower survival rate.

Calcination of layered double hydroxide membrane with enhanced nanofiltration performance

Zheng Huang,Naixin Wang,Xiaoting Li,Quan-Fu An 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.89 No.-

Two-dimensional layered double hydroxides (LDH) as a membrane material has tremendous potential inthe water treatmentfield. However, the stability and permeance of the LDH membrane should be furtherimproved for the industrial application. In this study, the LDH separation layer was in situ grown on thetubular Al2O3 substrate. The obtained LDH composite membrane was then calcined to reduce the surfacefree energy and remove some interlayer anions. Therefore, the calcined LDH composite membraneexhibited enhanced stability and permeance for removing dye molecules from water. The permeance ofthe calcined LDH membrane reached 367 L m 2 h 1MPa 1 and the rejection for Eriochrome black T wasstill above 99%. Moreover, the membrane can maintain the separation performance more than 110 h inthe nanofiltration process. The morphologies and structures of the LDH membranes before and aftercalcination were also investigated. The results indicated that this facile method is effective to improve theseparation performance of the LDH membrane.

Analysis on Clinical Characteristics and Influencing Factors of Patients with Locoregionally Advanced Nasopharyngeal Carcinoma

Zheng, Wei,Xu, Yuan-Ji,Qiu, Su-Fang,Zong, Jing-Feng,Huang, Ling-Ling,Huang, Chao-Bin,Lin, Shao-Jun,Pan, Jian-Ji Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.10

Background: To explore the independent prognostic factors for the recurrence/metastasis of patients with locoregionally advanced nasopharyngeal carcinoma (LANPC). Materials and Methods: A total of 604 patients initially diagnosed as LANPC by pathohistology in Fujian Provincial Cancer Hospital were selected to analyze the relationship between the clinical pathological patterns, therapeutic protocols and clinical stages with the recurrence/metastasis of LANPC. Results: The 1-, 3- and 5-year locoregionally recurrent rates of LANPC patients were 2.0%, 9.5% and 12.9% respectively, with average recurrent period being 78 months. Univariate analysis results indicated that clinical stages had certain influence on the recurrent period of LANPC patients. However, COX regression models showed that ages, genders and clinical stages were not the independent prognostic factors influencing the recurrence. The 1-, 3- and 5-year metastatic rates of LANPC patients were 6.6%, 17.5% and 18.8% respectively, with average metastatic period of 73 months. Univariate analysis results demonstrated that ages, N stages, clinical stages, locations of lymph node, retropharyngeal lymph node and extracapsular invasion of lymph node had certain influence on the metastatic period of LANPC patients. Additionally, further COX regression analysis results suggested that T stages, reduction protocols and extracapsular invasion of lymph node were the independent prognostic factors influencing the metastasis of patients with LANPC, in which T stages and extracapsular invasion of lymph node were the pestilent factors while reduction protocols the protective factor. Conclusions: Induction chemotherapy is beneficial to LANPC patients with initial treatment, and the metastatic rate decreases greatly after the application of reduction chemotherapy.

De novo design of a novel AIE fluorescent probe tailored to autophagy visualization via pH manipulation

Huang Xueyan,Chen Fei,Ma Yeshuo,Zheng Fan,Fang Yanpeng,Feng Bin,Huang Shuai,Zeng Hongliang,Zeng Wenbin 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

Macroautophagy is an essential cellular self-protection mechanism, and defective autophagy has been considered to contribute to a variety of diseases. During the process, cytoplasmic components are transported via autophagosomes to acidic lysosomes for metabolism and recycling, which represents application niches for lysosome-targeted fluorescent probes. Additionally, in view of the complexity of the autophagy pathway, it entails more stringent requirements for probes suitable for monitoring autophagy. Meanwhile, aggregation-induced emission (AIE) fluorescent probes have been impressively demonstrated in the biomedical field, which bring fascinating possibilities to the autophagy visualization.We reported a generalizable de novo design of a novel pH-sensitive AIE probe ASMP-AP tailored to lysosome targeting for the interpretation of autophagy. Firstly, the theoretical calculation was carried out followed by the investigation of optical properties. Then, the performance of ASMP-AP in visualizing autophagy was corroborated by starvation or drugs treatments. Furthermore, the capability of ASMP-AP to monitor autophagy was demonstrated in ex vivo liver tissue and zebrafish in vivo.ASMP-AP displays a large stokes shift, great cell permeability and good biocompatibility. More importantly, ASMP-AP enables a good linear response to pH, which derives from the fact that its aggregation state can be manipulated by the acidity. It was successfully applied for imaging autophagy in living cells and was proved capable of monitoring mitophagy. Moreover, this novel molecular tool was validated by ex vivo visualization of activated autophagy in drug-induced liver injury model. Interestingly, it provided a meaningful pharmacological insight that the melanin inhibitor 1-phenyl-2-thiourea (PTU)-induced autophagy was clearly presented in wild-type zebrafish.ASMP-AP offers a simple yet effective tool for studying lysosome and autophagy. This is the first instance to visualize autophagy in zebrafish using a small-molecule probe with AIE characters, accurate lysosome targeting and simultaneous pH sensitivity. Ultimately, this novel fluorescent system has great potential for in vivo translation to fuel autophagy research.

Intelligent Flow Algorithm for Online Reconfiguration of Distribution System

Zheng, Huang,Hara, Ryoichi,Kita, Hiroyuki The Korean Institute of Electrical Engineers 2014 The Journal of International Council on Electrical Vol.4 No.1

With the interconnection of distributed generators (DG) to conventional power system, the efficiency of distribution system management is required to improve. This paper proposes a new algorithm named as Intelligent Flow Algorithm (IFA) for reconfiguration issue, which innovate the numerical searching methods in conventional AI algorithms, to generate the optimal supplying configuration based on its topological property. The idea of IFA is based on the heuristic method to balance the distribution of loads supplying to realize low line loss. The new coding rule, named as flow generation has been developed to satisfy the generating approach, and power information besides line loss from load flow calculation, such as voltage and degree of connectivity breaking have been utilized to guide the advancing of the generating. A typical 43-bus distribution system with 20 cases is selected for case studies to demonstrate the effectiveness of the proposed algorithm. Simulation results show that IFA has high rate of global optimization within short calculation time. IFA shows stability and reliability in simulation, and the convenient adjustment of coefficient parameters also makes this method practical.

A Study on Cluster Lifetime in Multi-HopWireless Sensor Networks with Cooperative MISO Scheme

Zheng Huang,Hiraku Okada,Kentaro Kobayashi,Masaaki Katayama 한국통신학회 2012 Journal of communications and networks Vol.14 No.4

As for cluster-based wireless sensor networks (WSNs),cluster lifetime is one of the most important subjects in recent researches. Besides reducing the energy consumptions of the clusters,it is necessary to make the clusters achieve equal lifetimes so that the whole network can survive longer. In this paper, we focus on the cluster lifetimes in multi-hop WSNs with cooperative multiinput single-output scheme. With a simplified model of multi-hop WSNs, we change the transmission schemes, the sizes and transmission distances of clusters to investigate their effects on the cluster lifetimes. Furthermore, linear and uniform data aggregations are considered in our model. As a result, we analyze the cluster lifetimes in different situations and discuss the requirements on the sizes and transmission distances of clusters for equal lifetimes.

Long-term Sulfur Emissions and Environmental Kuznets Curves: Comparison and Implications

Huang, Zheng,Tonooka, Yutaka,Sekiguchi, Kazuhiko,Wang, Qingyue,Sakamoto, Kazuhiko Korean Society for Atmospheric Environment 2009 Asian Journal of Atmospheric Environment (AJAE) Vol.3 No.1

The environmental Kuznets curve hypothesis assumes an inverted U-shaped relationship between environmental damage and income, and such curves have been used to study how economic growth affects the environment. In this study, we analyzed data for gross domestic product (GDP) per capita and for sulfur emissions in the industrialized countries of the United Kingdom, United States of America, and Japan, as well as data for the developing country of China, to determine the relationship between emissions and income in these countries. Attempts by these countries' governments to incorporate environmental policy considerations into the income-environment relationship were also examined. The potential role of the environmental Kuznets curve as a policy tool was investigated. We determined that, at least in the case of sulfur emissions, policies and institutions significantly reduced environmental degradation in the industrialized countries studied. Furthermore, the environmental Kuznets curve can reliably predict the future relationship between environmental impact and GDP for developing countries.

Aeroelastic Simulation Using CFD/CSD Coupling Based on Precise Integration Method

Huang Chengde,Huang Jie,Song Xin,Zheng Guannan,Nie Xueyuan 한국항공우주학회 2020 International Journal of Aeronautical and Space Sc Vol.21 No.3

Aeroelasticity studies the interaction between the aerodynamic loads and the flexible structures, and has gained much attention in the design of modern aircraft. Most of the existing computational fluid dynamics/computational structural dynamics (CFD/CSD) coupling approaches are based on Runge–Kutta method, central difference method, linear multi-step method and so on, which are conditionally stable and are unsuitable for the stiff problem that requires a very small time step to solve. In this paper, the precise integration method (PIM) formula is derived for the structural modal equations and then the PIM-based CFD/CSD coupling method is presented. The three-dimensional AGARD wing 445.6 and a sweptback wing are considered here for aeroelastic studies. The flutter results demonstrate that the presented method is comparable in accuracy to the traditional strong coupling method and has better numerical stability property than some exiting improved methods. For the static aeroelastic analyses, applying a large damping ratio to the structural equations helps to obtain the equilibrium quickly but may lead to the stiff problem, which was seldom discussed before. The results show that the presented PIM-based coupling method can overcome the stiff problem arising in static aeroelastic systems and is more efficient than the traditional coupling approach based on Runge–Kutta method, especially when a large damping ratio is applied.

Prediction of Wind Power by Chaos and BP Artificial Neural Networks Approach Based on Genetic Algorithm

Huang, Dai-Zheng,Gong, Ren-Xi,Gong, Shu The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.1

It is very important to make accurate forecast of wind power because of its indispensable requirement for power system stable operation. The research is to predict wind power by chaos and BP artificial neural networks (CBPANNs) method based on genetic algorithm, and to evaluate feasibility of the method of predicting wind power. A description of the method is performed. Firstly, a calculation of the largest Lyapunov exponent of the time series of wind power and a judgment of whether wind power has chaotic behavior are made. Secondly, phase space of the time series is reconstructed. Finally, the prediction model is constructed based on the best embedding dimension and best delay time to approximate the uncertain function by which the wind power is forecasted. And then an optimization of the weights and thresholds of the model is conducted by genetic algorithm (GA). And a simulation of the method and an evaluation of its effectiveness are performed. The results show that the proposed method has more accuracy than that of BP artificial neural networks (BP-ANNs).