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Ji‐Rui Wang,Yu-Zhou Du,Jon H. MARTIN,Zhi-Hong XU 한국곤충학회 2018 Entomological Research Vol.48 No.5
A new whitefly species, Pealius yunnanensis sp. nov., collected from Mengzi, Caoba village (Yunnan, China) on Ficus microcarpa Linn. f. (Urticales: Moraceae), is described with morphology, line illustrations, photographs and scanning electron microscope images. In addition, a checklist of Chinese species of Pealius is provided and all Pealius species recorded from Ficus around the world are listed. Specimens have been deposited in the Insect Collection of Zhejiang Agriculture & Forestry University (ZAFU), Lin'an, China.
A survey for research and application of quality science in CHINA
(Ji Chao Xu) 한국품질경영학회 2000 The Asian Journal on Quality Vol.1 No.1
Quality science may be defined as the subject promoting both quality and productivity, which may include quality management, quality engineering and technology innovation. The research and application of quality science have been in existence for many years in China. This report first reviews its recent history as well as the analysis of the status quo. Finally, a prospectus and comments section for the future of quality science points out the development trends and its significant effectiveness on China`s modem economics.
Xu, Cheng-Xiong,Jere, Dhananjay,Jin, Hua,Chang, Seung-Hee,Chung, Youn-Sun,Shin, Ji-Young,Kim, Ji-Eun,Park, Sung-Jin,Lee, Yong-Hoon,Chae, Chan-Hee,Lee, Kee Ho,Beck, George R,Cho, Chong-Su,Cho, Myung-Ha American Lung Association 2008 American journal of respiratory and critical care Vol.178 No.1
<P>RATIONALE: The low efficiency of conventional therapies in achieving long-term survival of patients with lung cancer calls for the development of novel therapeutic options. Recent advances in aerosol-mediated gene delivery have provided the possibility of an alternative for the safe and effective treatment of lung cancer. OBJECTIVES: To demonstrate the feasibility and emphasize the importance of noninvasive aerosol delivery of Akt1 small interfering RNA (siRNA) as an effective and selective option for lung cancer treatment. METHODS: Nanosized poly(ester amine) polymer was synthesized and used as a gene carrier. An aerosol of poly(ester amine)/Akt1 siRNA complex was delivered into K-ras(LA1) and urethane-induced lung cancer models through a nose-only inhalation system. The effects of Akt1 siRNA on lung cancer progression and Akt-related signals were evaluated. MEASUREMENTS AND MAIN RESULTS: The aerosol-delivered Akt1 siRNA suppressed lung tumor progression significantly through inhibiting Akt-related signals and cell cycle. CONCLUSIONS: The use of poly(ester amine) serves as an effective carrier, and aerosol delivery of Akt1 siRNA may be a promising approach for lung cancer treatment and prevention.</P>
Xu, Jia,Liu, Chang,Zhou, Lei,Tian, Feng,Tai, Ming-Hui,Wei, Ji-Chao,Qu, Kai,Meng, Fan-Di,Zhang, Ling-Qiang,Wang, Zhi-Xin,Zhang, Jing-Yao,Chang, Hu-Lin,Liu, Si-Nan,Xu, Xin-Shen,Song, Yan-Zhou,Liu, Jun,Z Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.2
Serum alpha-fetoprotein (AFP) is a significant marker for clinical diagnosis and prognosis evaluation in hepatocellular carcinoma (HCC) patients. However, some proportion of liver cancer patients are AFP-negative (AFP ${\leq}$20ng/ml). In order to study the differences between clinicopathological factors and prognosis of alpha-fetoprotein negative and positive patients, a total of 114 cases (41 AFP-negative and 73 AFP-positive) were selected for our research. By systematically statistical analysis, the results demonstrated that compared with AFP-negative patients, AFP-positive examples were more likely to feature cirrhosis nodules, non-complete neoplasm capsules, and a poor Edmondson-steiner grade. Furthermore, AFP-negative patients demonstrated a favorable long-term prognosis. By univariate analysis and multivariate analysis with Cox's proportional hazards model, multiple tumors were found to be independent risk factors for worse survival of AFP negative patients; however, less tumor-free margins, multiple tumors and Edmondson-steiner grades III/IV, proved to be independent risk factors leading to a poor prognosis of AFP positive cases. Finally, we can infer that high levels of AFP signify a highly malignant tumor and unfavorable prognosis.
Detection of Cucumber Powdery Mildew Based on Spectral and Image Information
Xu Ji Tong,Zhang Zhe,Guo Yu Hang,Liu Yufeng,Ning Xiao Feng 한국농업기계학회 2023 바이오시스템공학 Vol.48 No.2
Purpose The aim of this study was to fi nd the optimal detection method for cucumber powdery mildew and improve the identifi cation effi ciency. Methods Image segmentation technology was used to extract spot images and grade classifi cation of powdery mildew. The relationship between powdery mildew spot and spectral refl ectance and intensity was studied. The powdery mildew detection model was established by using qualitative analysis and quantitative prediction methods combined with greenness ( a* ) indices of cucumber leaves. Results There were strong positive correlations between greenness and spectrum in some characteristic bands. Through the extraction of disease spot images and disease classifi cation, it was found that the higher the disease grade of leaves was, the higher the spectral refl ectivity and fl uorescence intensity. In the quantitative prediction model, the R 2 of the NIR spectrum was improved (0.8742) after MSC and SPA, and the eff ect of the fl uorescence spectrum model was not ideal. In the qualitative discriminant model, KNN and ensemble subspace discriminant were obtained for two kinds of spectra, and the identifi cation accuracy of the qualitative model was 97.5% after verifi cation. Conclusion An NIR spectral model can be used for the quantitative prediction of cucumber powdery mildew. The qualitative discriminant model had high accuracy for cucumber powdery mildew.
A Classification Techniques for Quality Improvement
(Ji Chao Xu),(Yu Min Liu),(Zhang Li) 한국품질경영학회 2001 The Asian Journal on Quality Vol.2 No.2
As we know, the quality of processes is technically depicted by variation, a product or process with the best quality must naturally require the variation as less as possible. The variation is usually reduced with many ways, say, by adjusting parameters settings under robust design with many turns expensive experiments. So ones are trying to reach the robustness by detecting cheap and simple methods. In this paper, a both practical and simple technique for quality improvement, namely reducing the variation, by data classification is studied. First, all possible system factors are included, which may dominate the variation law. And then we make use of the past observations and their classification as well as boxplot charts to find out the internal rule between the variation and the system factor. Next, adjust the location of the system factor according to the rule so that the variation could, to some extent, be lessened. Finally, two typical quality improvement cases based on data classification are presented.