Eigenstructure Assignment for Linear Systems with Constraints on Input and Its Rate via State Feedback

Yu Xue,Guang-Ren Duan 제어로봇시스템학회 2006 제어로봇시스템학회 국제학술대회 논문집 Vol.2006 No.10

Externalizing Behavior Problems Among Hui Ethnicity Left-Behind Children in Rural China: A Cross-Sectional Study

Xue Yu,Lingling Wang,Miaomiao Liu,Qiuli Li,Xiuying Dai 대한신경정신의학회 2022 PSYCHIATRY INVESTIGATION Vol.19 No.4

Objective This study aimed to investigate the prevalence of externalizing behavior problems (EBPs) and its influencing factors among Hui left-behind children (LBC) in rural China.Methods A cross-sectional study was conducted among school students from the southern rural areas in Ningxia, China (2012–2013). The general self-made questionnaire, Egma Minnen av Bardndosna Uppforstran, Eysenck Personality Questionnaire (for Children), Piers-Harris Children’s Self-Concept Scale, and Achenbach’s Child Behavior Checklist (for parents) were used to investigate the related information. Binary logistic regressions were conducted.Results The prevalence of EBPs in boys Hui LBC was significantly higher than that of non-LBC (12.37% vs. 6.84%, χ²=4.09, and p=0.04). Multivariate logistic regression analysis showed that low self-awareness of behavior (odds ratio [OR]=29.78), introversion (OR=21.67) and intermediate personality (OR=15.83), poor academic performance (OR=11.65) and both parent migrating (OR=2.73) were the risk factors for the EBPs of Hui LBC, while middle and high father refusal and denial (OR=0.11, OR=0.09) were their protective factors.Conclusion Our findings suggest that both parent migrating is a potential risk factor for EBPs among Hui LBC. Hui boys LBC should be paid more attention when formulating relevant policies.

A Heuristic Algorithm for Alongside Replenishment Scheduling Problem of Ship Fleet with Time Constraint

Yu Peng,He Xue-jun,Ren Ai-di 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12

The alongside replenishment scheduling problem with time constraint determining the partition of the ships, the order of replenishment and the allocation of time to the ships at the same time is analyzed. It is equivalent to a multi-stage flow shop scheduling problem with the object of maximizing the effectiveness value of ship fleet. The problem solving process is divided into three steps, and based on the analysis of the three steps, a heuristic algorithm is proposed. The algorithm firstly considers the time allocated to each ship, and then sequences the ships by heuristic rule combining greed with insertion, finally determines the ships partitioning to the port and standard side. Emulating example with different problems’ scale and time constraints shows that the proposed heuristic algorithm is superior to some other algorithms.

Data anomaly detection and Data fusion based on Incremental Principal Component Analysis in Fog Computing

( Xue-yong Yu ),( Xin-hui Guo ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.10

The intelligent agriculture monitoring is based on the perception and analysis of environmental data, which enables the monitoring of the production environment and the control of environmental regulation equipment. As the scale of the application continues to expand, a large amount of data will be generated from the perception layer and uploaded to the cloud service, which will bring challenges of insufficient bandwidth and processing capacity. A fog-based offline and real-time hybrid data analysis architecture was proposed in this paper, which combines offline and real-time analysis to enable real-time data processing on resource-constrained IoT devices. Furthermore, we propose a data process-ing algorithm based on the incremental principal component analysis, which can achieve data dimensionality reduction and update of principal components. We also introduce the concept of Squared Prediction Error (SPE) value and realize the abnormal detection of data through the combination of SPE value and data fusion algorithm. To ensure the accuracy and effectiveness of the algorithm, we design a regular-SPE hybrid model update strategy, which enables the principal component to be updated on demand when data anomalies are found. In addition, this strategy can significantly reduce resource consumption growth due to the data analysis architectures. Practical datasets-based simulations have confirmed that the proposed algorithm can perform data fusion and exception processing in real-time on resource-constrained devices; Our model update strategy can reduce the overall system resource consumption while ensuring the accuracy of the algorithm.

H-mode experimental integrated modeling of impurity injection to control divertor heat flux on HL-2A

Yu Peng,Huang Qianhong,Zhong Yijun,Wu Ting,Wang Jun,Wang Zhanhui,Gong Xue-yu 한국물리학회 2023 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.82 No.8

Based on the METIS integrated modeling platform, combined with the experimental data of the #34512 shot detached divertor operation on the HL-2A, this paper selects suitable physical models, and compares and analyzes the integrated modeling results with the experimental results. The modeling results are in good agreement with the experimental results. On this basis, the reason for the decrease of the peak heat fux on the divertor targets is investigated using the METIS simulator. The results show that the two factors of entering the H-mode and the radiation enhancement efect generated by impurity injection work together to reduce the heat fow on the targets. Finally, the diferent efects of N, Ar and Ne impurity gases on the heat fux reduction of the targets are simulated under the condition that the plasma line-average efective charge (Zef) is kept unchanged. The results show that N and Ar are both better than Ne in controlling the heat fow on the targets, and N has the best compatibility in the core, which can not only reduce the boundary heat fow but also maintain the core confnement performance.

Pretreatment Thrombocytosis as a Prognostic Factor in Women with Gynecologic Malignancies: a Meta-analysis

Yu, Min,Liu, Lei,Zhang, Bing-Lan,Chen, Qi,Ma, Xue-Lei,Wu, Yu-Ke,Liang, Chun-Shui,Niu, Zhi-Min,Qin, Xin,Niu, Ting Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.12

Background: This study was performed to analyze the prognostic implications of pretreatment or preoperative thrombocytosis in women with gynecologic malignancies. Material and Methods: We surveyed 2 medical databases, PubMed and EMBASE, to identified all relevant studies. A total of 14 (n=3,490) that evaluated the link between thrombocytosis and 5-year survival were included. REVMAN version 5.1 was used for our analysis and publication bias was evaluated using the Begg's funnel plot and tested by STATA 11.0. Risk ratios (RRs) with 95% confidence intervals (CIs) generated by the random effect model were used to assess the strength of any association. Results: 709(20.3%) of the 3,490 patients exhibited thrombocytosis (platelet counts > $400{\times}10^9/L$) at primary diagnosis, and their mortality was 1.62-fold higher compared with the others (RR=1.62, 95%CI=[1.28-2.05], p<0.0001). Thrombocytosis failed to have a stronger effect on the survival of advanced patients of stages III to IV in our study (n=478, RR=1.29, 95% CI=[1.13-1.48], p=0.0003), nor in women with cervical cancer in stage IB (n=1371, RR=1.73, 95% CI=[1.71-2.58], p=0.007). In addition, when adjusted for different carcinoma, it was associated with worse prognosis for all except the ones with vulvar cancer (n=201, RR=0.43, 95% CI=[0.14-1.29], p=0.13). Conclusions: This meta-analysis indicated that thrombocytosis might be associated with a worse prognosis for patients with gynecologic malignancies but without specificity or sensitivity for the ones in advanced stage. When adjusted for different gynecologic malignancies, it showed a significant effect on survival of all except vulvar cancers.

Impact of fatty liver on long-term outcomes in chronic hepatitis B: a systematic review and matched analysis of individual patient data meta-analysis

Yu Jun Wong,Vy H. Nguyen,Hwai-I Yang,Jie Li,Michael Huan Le,Wan-Jung Wu,Nicole Xinrong Han,Khi Yung Fong,Elizabeth Chen,Connie Wong,Fajuan Rui,Xiaoming Xu,Qi Xue,Xin Yu Hu,Wei Qiang Leow,George Boon-B 대한간학회 2023 Clinical and Molecular Hepatology(대한간학회지) Vol.29 No.3

Background/Aims: Chronic hepatitis B (CHB) and fatty liver (FL) often co-exist, but natural history data of this dual condition (CHB-FL) are sparse. Via a systematic review, conventional meta-analysis (MA) and individual patient-level data MA (IPDMA), we compared liver-related outcomes and mortality between CHB-FL and CHB-no FL patients. Methods: We searched 4 databases from inception to December 2021 and pooled study-level estimates using a random- effects model for conventional MA. For IPDMA, we evaluated outcomes after balancing the two study groups with inverse probability treatment weighting (IPTW) on age, sex, cirrhosis, diabetes, ALT, HBeAg, HBV DNA, and antiviral treatment. Results: We screened 2,157 articles and included 19 eligible studies (17,955 patients: 11,908 CHB-no FL; 6,047 CHB-FL) in conventional MA, which found severe heterogeneity (I2=88–95%) and no significant differences in HCC, cirrhosis, mortality, or HBsAg seroclearance incidence (P=0.27–0.93). IPDMA included 13,262 patients: 8,625 CHB-no FL and 4,637 CHB-FL patients who differed in several characteristics. The IPTW cohort included 6,955 CHB-no FL and 3,346 CHB-FL well-matched patients. CHB-FL patients (vs. CHB-no FL) had significantly lower HCC, cirrhosis, mortality and higher HBsAg seroclearance incidence (all P≤0.002), with consistent results in subgroups. CHB-FL diagnosed by liver biopsy had a higher 10-year cumulative HCC incidence than CHB-FL diagnosed with non-invasive methods (63.6% vs. 4.3%, P<0.0001). Conclusions: IPDMA data with well-matched CHB patient groups showed that FL (vs. no FL) was associated with significantly lower HCC, cirrhosis, and mortality risk and higher HBsAg seroclearance probability.

Flavones from the Bark of Lindera caudata and Their Anti-Tobacco Mosaic Virus Activity

Yu-Chun Yang,Ying Qin,Xian-Xue Wu,Cong-Fang Xia,Yan-Lin Meng,Bin Zhou,Yan-Qing Ye,Xue-Mei Gao,Yin-Ke Li,Qiu-Fen Hu 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.4

Two new flavones, 5-hydroxy-8-hydroxymethyl-7,4′-dimethoxy-flavone (1) and 6-hydroxy-8-hydroxymethyl-7,4′-dimethoxy-flavone (2), together with six known flavones (3–8), were isolated from the bark of Lindera caudata. The structures of 1–8 were elucidated by spectroscopic methods including extensive 1D and 2D NMR techniques. Compounds 1–8 were evaluated for their anti-tobacco mosaic virus (anti-TMV) activity. The results showed that Compounds 1 and 2 showed high anti-TMV activity with inhibition rates of 31.2 and 28.8%, respectively. These values are close to those of positive control.

Classification of Fuzzy Logic on the Optimized Bead Geometry in the Gas Metal Arc Welding

Yu, Xue,Kim, Ill-Soo,Park, Chang-Eun,Kim, In-Ju,Son, Joon-Sik 한국공작기계학회 2004 한국공작기계학회 추계학술대회논문집 Vol.2004 No.-

Recently, there has been a rapid development in computer technology, which has in turn led to develop the automated welding system using Artificial Intelligence (AI). However, the automated welding system has not been achieved duo to difficulties of the control and sensor technologies. In this paper, the classification of the optimized bead geometry such as bead width, height, penetration and bead area in the Gas Metal Arc (GMA) welding with fuzzy logic is presented. The fuzzy C-Means algorithm (FCM), which is best known an unsupervised fuzzy clustering algorithm is employed here to analysis the specimen of the bead geometry. Then the quality of the GMA welding can be classified by this fuzzy clustering technique and the choice for obtaining the optimal bead geometry can also be determined.

Protective Effects of the Ethanol Extract of Viola tianshanica Maxim against Acute Lung Injury Induced by Lipopolysaccharides in Mice

( Xue Wang ),( Qiao-li Yang ),( Yu-zhu Shi ),( Bi-yu Hou ),( Sheng-qian Yang ),( Hua Huang ),( Li Zhang ),( Guan-hua Du ) 한국미생물생명공학회(구 한국산업미생물학회) 2017 Journal of microbiology and biotechnology Vol.27 No.9

Viola tianshanica Maxim, belonging to the Violaceae plant family, is traditionally used in Uighur medicine for treating pneumonia, headache, and fever. There is, however, a lack of basic understanding of its pharmacological activities. This study was designed to observe the effects of the ethanol extract (TSM) from Viola tianshanica Maxim on the inflammation response in acute lung injury (ALI) induced by LPS and the possible underlying mechanisms. We found that TSM (200 and 500 mg/kg) significantly decreased inflammatory cytokine production and the number of inflammatory cells, including macrophages and neutrophils, in bronchoalveolar lavage fluid. TSM also markedly inhibited the lung wet-to-dry ratio and alleviated pathological changes in lung tissues. In vitro, after TSM (12.5-100 μg/ml) treatment to RAW 264.7 cells for 1 h, LPS (1 μg/ml) was added and the cells were further incubated for 24 h. TSM dose-dependently inhibited the levels of proinflammatory cytokines, such as NO, PGE₂, TNF-α, IL-6, and IL-1β, and remarkably decreased the protein and mRNA expression of TNF-α and IL-6 in LPS-stimulated RAW 264.7 cells. TSM also suppressed protein expression of p-IκBa and p-ERK1/2 and blocked nuclear translocation of NF-κB p65. The results indicate that TSM exerts anti-inflammatory effects related with inhibition on NF-κB and MAPK (p-ERK1/2) signaling pathways. In conclusion, our data demonstrate that TSM might be a potential agent for the treatment of ALI.