Topic Sentiment Analysis in Chinese News

Ouyang Chunping,Zhou Wen,Yu Ying,Liu Zhiming,Yang Xiaohua 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.11

Sentiment analysis in news is different from normal text sentiment analysis. News usually have a specific topic, a focus semantic emotion, therefore, this paper, based on the principal of using Emotion Dependency Tuple (EDT) as the basic unit of news emotion analysis, resolves topic sentiment analysis in news into three progressive sub-problem, namely, topic sentence recognition, EDT extraction and topic sentiment analysis. We use an improved TF-IDF and cross entropy to extract feature set of topics. Then, based on space vector model, calculate the topic association of a sentence and extract topic sentence. Finally, we construct topic sentence based on EDT and complete clustering of news topic sentiment. This method is evaluated using COAE2014 dataset, and differential means shows that our results close to the best results. This shows that the topic based EDT could effectively improve performance of sentiment analysis in news.

A High-Throughput Method Based on Microculture Technology for Screening of High-Yield Strains of Tylosin-Producing Streptomyces fradiae

Yao Zhiming,Fan Jingyan,Dai Jun,Yu Chen,Zeng Han,Li Qingzhi,Hu Wei,Yan Chaoyue,Hao Meilin,Li Haotian,Li Shuo,Liu Jie,Huang Qi,Li Lu,Zhou Rui 한국미생물·생명공학회 2023 Journal of microbiology and biotechnology Vol.33 No.6

Tylosin is a potent veterinary macrolide antibiotic produced by the fermentation of Streptomyces fradiae; however, it is necessary to modify S. fradiae strains to improve tylosin production. In this study, we established a high-throughput, 24-well plate screening method for identifying S. fradiae strains that produce increased yields of tylosin. Additionally, we constructed mutant libraries of S. fradiae via ultraviolet (UV) irradiation and/or sodium nitrite mutagenesis. A primary screening of the libraries in 24-well plates and UV spectrophotometry identified S. fradiae mutants producing increased yields of tylosin. Mutants with tylosin yield 10% higher than the wild-type strain were inoculated into shake flasks, and the tylosin concentrations produced were determined by highperformance liquid chromatography (HPLC). Joint (UV irradiation and sodium nitrite) mutagenesis resulted in higher yields of mutants with enhanced tylosin production. Finally, 10 mutants showing higher tylosin yield were re-screened in shake flasks. The yield of tylosin A by strains UN-C183 (6767.64 ± 82.43 μg/ml) and UN-C137 (6889.72 ± 70.25 μg/ml) was significantly higher than that of the wild-type strain (6617.99 ± 22.67 μg/ml). These mutant strains will form the basis for further strain breeding in tylosin production.

PRECISE SIMULATION OF THE GATE CHARGE IN POWER MOSFET

Baoxia zhou,Zhiming Chen,Shoujue Wang 전력전자학회 1995 ICPE(ISPE)논문집 Vol.1995 No.10

Errors in calculation of the gate-source capacitor's charging time in a switch-on process may occur when a characteristic simulation is performed for power MOSFETs by means of SPICE with a commonly used equivalent circuit This is related to the gate-drain capacitor's non-linear charge and discharge behavior An improved model for precise simulation of the switching process of power MOSFETs is presented in this paper The variation of the gate charges with input voltage is calculated accurately.

Multi-Agent/Multi-Goal Modeling Templates and the 1-1, n-1,1-n, n-n Deductions of Relationship-chain

Cai Zhiming,Yin Jun,Zhou Yingjie 보안공학연구지원센터 2010 International Journal of Hybrid Information Techno Vol.3 No.1

Vibration analysis on the rolling element bearing-rotor system of an air blower

Wu Hao,Zhou Qiong,Zhang Zhiming,An Qi 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.3

Air blowers are widely used in industry. The vibration of the rolling bearing-rotor is a key factor in the blower’s performance because it significantly influences the security and working life of the whole system. In previous research on the vibration characteristics of the air blower, the supporting rolling element bearing was always simplified as a particle on a shaft with radial stiffness and damping coefficient. Such simplification neglects the effects of the bearing structure on the vibration performance of the rotor system. In this paper, a numerical model of the bending stiffness of the tapered roller bearing was established through mechanics and deformation analysis. On the base of the model, a new TMM (transfer matrix method) for bearing-rotor system was established; the new TMM considers the influences of the bearing structure on the vibration of the rotor system. Furthermore, modal analysis on an air blower rotor system was carried out by using the new TMM, and the mode shape, critical speed and unbalance response of the air blower system were obtained. The same blower rotor was also analyzed by FEM to verify the validation of the new TMM, showing that the new method proposed in this paper for vibration characteristics calculation of an air blower is credible.

Mitochondrial-Targeted Polyethylenimine Functionalized Graphene Oxide Nanocarrier and Its Anti-Tumor Effect on Human Lung Carcinoma Cells

Mei Jin,Zhiming Liu,Wen Zhang,Haixin Dong,Fang Zhou,Jianfeng Yu,Xinpeng Wang,Zhouyi Guo 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2015 NANO Vol.10 No.8

Graphene oxide nanosheet (NGO) was covalently functionalized with positively charged, branched polyethylenimine (bPEI) via an amide bond, coated with serum proteins by electrostatic interaction. Operating as a newly fashioned, multifunctional nanocarrier, the processed NGO showed promise for use in combined gene therapy, chemotherapy, photothermal therapy, bioimaging and as a biosensor of cancer cells. Our current research is focused on the systematic studies of mechanisms of cancer cellular uptake, subcellular location, cytotoxicity and the cellular exclusion of the NGO–bPEI nanocarriers. It was observed that NGO–bPEI accumulated in the mitochondria and that long-term retention of NGO–bPEI led to a decrease in mitochondrial membrane potential while levels of reactive oxygen species increased. The mitochondrial effects associated with long-term retention of NGO–bPEI have potential as a synergistic enhancer of the cytotoxic effects of anti-cancer drugs or genes in human lung carcinoma (A549) cells. This work demonstrated the utility of NGO–bPEI-based multifunctional nanocarriers while detailing the mechanism at the cellular level and providing guidance for further research in cancer therapy.

Subgrain Effect on Grain Scale Plasticity of NiTi Shape Memory Alloy Under Canning Compression: A Crystal Plasticity Finite Element Analysis

Li Hu,Shuyong Jiang,Jian Tu,Zhiming Zhou 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.2

The subgrain effect of NiTi shape memory alloy during canning compression at 400 °C is investigated through electronback-scattered diffraction (EBSD) experiment, transmission electron microscope (TEM) experiment and crystal plasticityfinite element (CPFE) simulation in explicit consideration of subgrain within each grain. Experimental investigations basedon TEM and EBSD measurements confirm that the formation of subgrain actually results from the dislocation motion duringcanning compression. Numerical simulations based on the constructed polycrystalline models with various subgrains areused to investigate the subgrain effect during canning compression from a different point of view. In terms of texture evolution,subgrain effect does not change the tendency of texture evolution, but it contributes to the dispersed distribution withrespect to the deformed grain/subgrain orientations. As for accumulative shear strain, subgrain effect contributes to sustaininglarger plastic strain inside each grain, and it also results in the strain concentration near grain boundaries. With respectto von Mises stress, the subgrain effect facilitates the ease of stress concentration near grain boundaries and it contributesto possessing a homogeneous stress distribution within the inner part of each grain.

Co2+-coordination-assisted enhancement of mechanical and iodynamic properties of 3D graphene-based double network hydrogels for all-solid-state supercapacitors

He Binhong,Wen Shuntao,Wen Zhiming,Liang Yan,Yang Qianxi,Zhou Minjie,Wang Wei,Wang Guo-Xiang 한국탄소학회 2024 Carbon Letters Vol.34 No.3

This paper reports an enhanced strategy for improving the mechanical flexibility and ionic kinetic properties of a double network hydrogel based on Co2+-coordination assistance. The modified double-network hydrogel was obtained by using acrylic acid and N, N-dimethylacrylamide as monomers, adding cross-linking agents and 3D nitrogen-doped graphenes. The tensile fracture rate of the modified hydrogel was 1925% and its tensile strength was 1696 kPa. In addition, the hydrogel exhibited excellent ionic dynamics, and its application to an all-solid-state supercapacitor was able to achieve a specific capacitance of up to 182.8 F g−1. The supercapacitor exhibited an energy density of 34.2 Wh kg−1, even when operating at a power density of 5 kW kg−1, highlighting its significant potential for practical applications.

A novel feed rate scheduling method with acc-jerk-continuity and round-off error elimination for non-uniform rational B-spline interpolation

Hu Yifei,Jiang Xin,Huo Guanying,Su Cheng,Zhou Shiwei,Wang Bolun,Li Hexiong,Zheng Zhiming 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.1

Feed rate scheduling is a critical step in computer numerical control machining, as it has a close relationship with machining time and surface quality. It has now become a hot issue in both industry and academia. In this article, we present a novel and complete S-shape-based feed rate scheduling method for three-axis non-uniform rational B-spline (NURBS) tool paths, which can reduce high chord errors and round-off errors, and generate continuous velocity, acceleration, and jerk profile. The proposed feed rate scheduling method consists of three modules: a bidirectional scanning module, a velocity scheduling module, and a round-off error elimination module. The bidirectional scanning module aims to guarantee the continuity of the feed rate at the junctions between successive NURBS blocks, where the chord error, tangential acceleration, and tangential jerk limitations are considered. After the NURBS blocks have been classified into two cases by the previous module, the velocity scheduling module first calculates the actual maximum feed rate. It then generates the feed rate profiles of all NURBS blocks according to the proposed velocity profile. Later, the round-off error elimination module is applied to adjust the actual maximum feed rate so that the total interpolation time becomes an integer multiple of the interpolation period, which leads to the elimination of round-off errors. Finally, benchmarks are conducted to verify the applicability of the proposed method. Compared with the traditional method, the proposed method can save the interpolation time by $4.67$ to $14.26\% $.

Prediction Model for unfavorable Outcome in Spontaneous Intracerebral Hemorrhage Based on Machine Learning

Shengli Li,Jianan Zhang,Xiaoqun Hou,Yongyi Wang,Tong Li,Zhiming Xu,Feng Chen,Yong Zhou,Weimin Wang,Mingxing Liu 대한신경외과학회 2024 Journal of Korean neurosurgical society Vol.67 No.1

Objective : The spontaneous intracerebral hemorrhage (ICH) remains a significant cause of mortality and morbidity throughout the world. The purpose of this retrospective study is to develop multiple models for predicting ICH outcomes using machine learning (ML). Methods : Between January 2014 and October 2021, we included ICH patients identified by computed tomography or magnetic resonance imaging and treated with surgery. At the 6-month check-up, outcomes were assessed using the modified Rankin Scale. In this study, four ML models, including Support Vector Machine (SVM), Decision Tree C5.0, Artificial Neural Network, Logistic Regression were used to build ICH prediction models. In order to evaluate the reliability and the ML models, we calculated the area under the receiver operating characteristic curve (AUC), specificity, sensitivity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR). Results : We identified 71 patients who had favorable outcomes and 156 who had unfavorable outcomes. The results showed that the SVM model achieved the best comprehensive prediction efficiency. For the SVM model, the AUC, accuracy, specificity, sensitivity, PLR, NLR, and DOR were 0.91, 0.92, 0.92, 0.93, 11.63, 0.076, and 153.03, respectively. For the SVM model, we found the importance value of time to operating room (TOR) was higher significantly than other variables. Conclusion : The analysis of clinical reliability showed that the SVM model achieved the best comprehensive prediction efficiency and the importance value of TOR was higher significantly than other variables.