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An Intelligent Management System for Evaluating Science Research Projects
Chen, Zhi-Yu,Chen, Shi-Quan,Wu, Jin-Pei Korean Institute of Industrial Engineers 2005 Industrial Engineeering & Management Systems Vol.4 No.1
Proposed in this paper is an intelligent management system for evaluating science research projects based on fuzzy neural networks with genetic algorithms. This system was planned, designed and tested employing theories and approaches of software engineering. This system was then applied to evaluate science research projects of the Natural Science Foundation of Guangdong Province, People’s Republic of China. The outcome / results shows the feasibility and validity of the system and its possible application to other intelligent management systems.
Yu-lian Tang,Xiao-ming Zhang,Zhi-gang Yang,Yu-cheng Huang,Tian-wu Chen,Yan-li Chen,Fan Chen,Nan-lin Zeng,Rui Li,Jiani Hu 대한영상의학회 2017 Korean Journal of Radiology Vol.18 No.4
Objective: To explore the association between the blood oxygenation T2* values of resectable esophageal squamous cell carcinomas (ESCCs) and tumor stages. Materials and Methods: This study included 48 ESCC patients and 20 healthy participants who had undergone esophageal T2*-weighted imaging to obtain T2* values of the tumors and normal esophagi. ESCC patients underwent surgical resections less than one week after imaging. Statistical analyses were performed to identify the association between T2* values of ESCCs and tumor stages. Results: One-way ANOVA and Student-Newman-Keuls tests revealed that the T2* value could differentiate stage T1 ESCCs (17.7 ± 3.3 ms) from stage T2 and T3 tumors (24.6 ± 2.7 ms and 27.8 ± 5.6 ms, respectively; all ps < 0.001). Receiver operating curve (ROC) analysis showed the suitable cutoff T2* value of 21.3 ms for either differentiation. The former statistical tests demonstrated that the T2* value could not differentiate between stages T2 and T3 (24.6 ± 2.7 ms vs. 27.8 ± 5.6 ms, respectively, p > 0.05) or between N stages (N1 vs. N2 vs. N3: 24.7 ± 6.9 ms vs. 25.4 ± 4.5 ms vs. 26.8 ± 3.9 ms, respectively; all ps > 0.05). The former tests illustrated that the T2* value could differentiate anatomic stages I and II (18.8 ± 4.8 ms and 26.9 ± 5.9 ms, respectively) or stages I and III (27.3 ± 3.6 ms). ROC analysis depicted the same cutoff T2* value of 21.3 ms for either differentiation. In addition, the Student’s t test revealed that the T2* value could determine grouped T stages (T0 vs. T1–3: 17.0 ± 2.9 ms vs. 25.2 ± 6.2 ms; T0–1 vs. T2–3: 17.3 ± 3.0 ms vs. 27.1 ± 5.3 ms; and T0–2 vs. T3: 18.8 ± 4.2 ms vs. 27.8 ± 5.6 ms, all ps < 0.001). ROC analysis indicated that the T2* value could detect ESCCs (cutoff, 20 ms), and discriminate between stages T0–1 and T2–3 (cutoff, 21.3 ms) and between T0–2 and T3 (cutoff, 20.4 ms). Conclusion: The T2* value can be an additional quantitative indicator for detecting ESCC except for stage T1 cancer, and can preoperatively discriminate between some T stages and between anatomic stages of this tumor.
Ghost Cell Odontogenic Carcinoma Arising from Calcifying Cystic Odontogenic Tumor: A Case Report
Zhi-Yu Zhu,Yu Chen,Zhi-Gang Chu,Wei-Ping Zhang,Di Lv,Ning Geng,Ming-Zhong Yang 대한병리학회 2012 Journal of Pathology and Translational Medicine Vol.46 No.5
Ghost cell odontogenic carcinoma (GCOC) is an exceptionally rare and malignant odontogenic tumor with aggressive growth characteristics. We describe a case of GCOC which was considerably derived from a previously resected calcifying cystic odontogenic tumor (CCOT). Cellular atypia, mitotic activity, Ki-67 labeling index and matrix metalloprotease-9 positive expression rate were all increased in the currently resected specimen compared to the initial one. This is a rare case of malignant transformation of CCOT to GCOC with respect to its histopathological and immunohistochemical findings.
Characterization of proteolysis in muscle tissues of sea cucumber Stichopus japonicus
Chen-Chen Zhao,Yang Yang,Hai-tao Wu,Zhi-Mo Zhu,Yue Tang,Cui-Ping Yu,Na Sun,Qiang Lv,Jia-Run Han,Ao-Ting Li,Jia-Nan Yan,Yue Cha 한국식품과학회 2016 Food Science and Biotechnology Vol.25 No.6
The proteolysis in muscle tissues of sea cucumber Stichopus japonicus (sjMTs) was characterized. The proteins from sjMTs were primarily myosin heavy chains (MHCs), paramyosin (Pm), and actin (Ac) having a molecular mass of approximately 200, 98, and 42 kDa, respectively. Based on SDS-PAGE analysis and quantification of trichloroacetic acid (TCA)-soluble peptides released, degradation of muscle proteins from sjMTs was favorable at pH 5 and 50°C. Proteolysis of MHCs was mostly inhibited by cysteine protease inhibitors, including trans-epoxysuccinyl-L-leucyl-amido (4- guanidino) butane (E-64) and antipain (AP). E-64 and AP completely inhibited the degradation of Pm and Ac, while iodoacetic acid showed a partially inhibitory effect. These results indicated that the proteolysis of sjMTs was mainly attributed to cysteine proteases. Avoidance of setting the tissues at 40–50oC and slightly acidic condition and inhibition of cysteine proteases are helpful for decreasing sea cucumber autolysis.
Association between Pax8-PPARγ1 Rearrangement and Follicular Thyroid Cancer: a Meta-Analysis
Li, Hang-Yu,Xie, Zhi-Hao,Xu, Cong-Hui,Pu, Mei-Ling,Chen, Zi-Yan,Yu, Miao,Wang, Heng-Shu,Zhou, Chen-Ming,Pu, Chao-Yu,Liu, Wei Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.9
Background: Pax8 and peroxisome proliferator-activated receptor gamma 1 gene (Pax8-$PPAR{\gamma}1$) are important factors in tumors. Several studies have suggested that follicular thyroid cancer may arise from Pax8- $PPAR{\gamma}1$ rearrangement. In order to have a better understanding of the association between Pax8-$PPAR{\gamma}1$ rearrangement and follicular thyroid cancer, we conducted the presenmt meta-analysis. Materials and Methods: The information was extracted from PubMed, EMBASE and Web of Science. Statistic analysis was performed with Stata12.0 software. Odds ratios (ORs) were calculated using a fixed-effects model. We also performed heterogeneity and publication bias analyses. Results: Nine studies including 198 follicular thyroid cancer patients and 268 controls were considered eligible. The frequency of Pax8-$PPAR{\gamma}1$ rearrangement was significantly higher in the follicular thyroid cancer group than in the control group, with a pooled OR of 6.63 (95%CI=3.50-12.7). In addition, through subgroup analysis, the OR between Pax8-$PPAR{\gamma}1$ rearrangement and follicular thyroid cancer was 6.04 (95%CI = 3.18-11.5) when using benign tumor tissues as controls. The OR for the method subgroup was 9.99 (95% CI =4.86-20.5) in the RT-PCR. Conclusions: The final results demonstrated that Pax8-$PPAR{\gamma}1$ rearrangement has significant association with follicular thyroid cancer.
Yang-Er Chen,Shu Yuan,Han-Mei Liu,Zhi-Yu Chen,Ying-Hong Zhang,Huai-Yu Zhang 한국원예학회 2016 Horticulture, Environment, and Biotechnology Vol.57 No.1
Chitosan has been proposed to elicit defense responses in plants. In this study, we evaluated the potential roles of chitosan as a fertilizer supplement to stimulate Begonia × hiemalis Fotsch ‘Schwabenland Red’ growth and resistance to gray mold caused by the fungus Botrytis cinerea. We evaluated the effect of treatment with fertilizer containing various ratios of N, P, and K in combination with different concentrations of chitosan on plant growth and disease resistance. Of the sixteen treatments examined, the treatment consisting of an N:P:K ratio of 2.8:1.0:1.4 and chitosan concentration of 0.10 g·L-1 had the most positive effect on plant height, crown development, and other horticultural traits (i.e., flowering time, flower diameter, and flower quantity) at 20, 40, and 60 days after treatment, and significantly reduced the severity and incidence of gray mold compared to the controls and other treatments at 60 days after treatment. Furthermore, this treatment markedly increased superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), and phenylalanine ammonia-lyase (PAL) activities. Based on these findings, we suggest that the chemical composition of the fertilizer and concentration of chitosan used affect the degree to which Begonia × hiemalis growth is stimulated and pathogen resistance is improved.