27 results on '"Yi Zhou He"'
Search Results
2. Enhancing patient-centred care in Taiwan's dental education system: Exploring the feasibility of doctor-patient communication education and training
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Yi-Zhou He, Pei-Chun Liao, and Yung-Ta Chang
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Dental education ,Doctor-patient communication ,Patient-centred care ,Medical professionalism ,Patient expectations ,Dentistry ,RK1-715 - Abstract
Background/purpose: Improved communication can optimize treatment outcomes and patient satisfaction. Findings emphasize the need for tailored communication strategies based on patient characteristics. Implementing communication courses can enhance patient-centered care and reduce conflicts. Therefore, this study examined the feasibility of integrating doctor-patient communication education in Taiwan's dental education system. Materials and methods: Using interviews and questionnaires, we conducted descriptive statistics and generalized linear mixed-effects model analysis on the importance of doctor-patient communication from the dentist and patient perspectives. Results: More than 600 patient surveys and four interviewed dentists with 20+ years of experience stressed doctor-patient communication in dentistry. Patients' age and income were positively related to the emphasis on physician-patient communication but negatively associated with dental assistants' communication. Dentists valued communication education but differed in its execution and importance. Conclusion: It is recommended to initiate dentist-patient communication education during university studies and continue its practice to adapt to the changing societal dynamics. Individuals with higher socioeconomic status and older age show a greater appreciation for dentist-patient communication, potentially driven by self-promotion, thereby highlighting the diverse nature of doctor-patient relationships. Based on our findings, we suggest to implement the doctor-patient communication courses in Taiwan.
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- 2023
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3. RLFDDA: a meta-path based graph representation learning model for drug–disease association prediction
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Meng-Long Zhang, Bo-Wei Zhao, Xiao-Rui Su, Yi-Zhou He, Yue Yang, and Lun Hu
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Drug–disease association prediction ,Meta-path based random walk ,Graph representation learning ,Heterogeneous network ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Biology (General) ,QH301-705.5 - Abstract
Abstract Background Drug repositioning is a very important task that provides critical information for exploring the potential efficacy of drugs. Yet developing computational models that can effectively predict drug–disease associations (DDAs) is still a challenging task. Previous studies suggest that the accuracy of DDA prediction can be improved by integrating different types of biological features. But how to conduct an effective integration remains a challenging problem for accurately discovering new indications for approved drugs. Methods In this paper, we propose a novel meta-path based graph representation learning model, namely RLFDDA, to predict potential DDAs on heterogeneous biological networks. RLFDDA first calculates drug–drug similarities and disease–disease similarities as the intrinsic biological features of drugs and diseases. A heterogeneous network is then constructed by integrating DDAs, disease–protein associations and drug–protein associations. With such a network, RLFDDA adopts a meta-path random walk model to learn the latent representations of drugs and diseases, which are concatenated to construct joint representations of drug–disease associations. As the last step, we employ the random forest classifier to predict potential DDAs with their joint representations. Results To demonstrate the effectiveness of RLFDDA, we have conducted a series of experiments on two benchmark datasets by following a ten-fold cross-validation scheme. The results show that RLFDDA yields the best performance in terms of AUC and F1-score when compared with several state-of-the-art DDAs prediction models. We have also conducted a case study on two common diseases, i.e., paclitaxel and lung tumors, and found that 7 out of top-10 diseases and 8 out of top-10 drugs have already been validated for paclitaxel and lung tumors respectively with literature evidence. Hence, the promising performance of RLFDDA may provide a new perspective for novel DDAs discovery over heterogeneous networks.
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- 2022
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4. Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity.
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Yi-Zhou He, Yue Yang, Xiao-Rui Su, Bo-Wei Zhao, Shengwu Xiong, and Lun Hu
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- 2023
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5. RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction.
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Menglong Zhang, Bo-Wei Zhao, Xiao-Rui Su, Yi-Zhou He, Yue Yang, and Lun Hu
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- 2022
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6. Comparison of past and current dental school curricula for dental students of National Taiwan University
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Feng-Chou, Cheng, Yi-Zhou, He, Ling-Hsia, Wang, Julia Yu-Fong, Chang, Shiang-Yao, Liu, Yung-Ta, Chang, and Chun-Pin, Chiang
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General Dentistry - Abstract
The complete curriculum schedule of the School of Dentistry, National Taiwan University (NTU) appeared in 1960. This study aimed to understand the development of dental education in Taiwan by comparing the past and current dental school curricula of NTU.This study collected the 1960, 1990 and 2020 dental school curriculum schedules for dental students of NTU from the related websites and used the documentary and secondary data analyses to further compare the obtained data.The number of credits for all the curricula offered by NTU to undergraduate dental students decreased from 264 in 1960 to 243 in 1990 and further to 242 in 2020 with a total decrease of 22 credits by 8.3%. The number (proportion) of credits of medicine courses decreased from 102 (38.6%) in 1960 to 52 (21.4%) in 1990, and then increased to 60 (24.8%) in 2020, with a total decrease of 42 credits by 41.2%, while those of dentistry courses increased from 70 (26.5%) in 1960 to 122 (50.2%) in 1990 and further to 132 (54.5%) in 2020, with a total increase of 62 credits by 88.6%. Among them, clinical practice of dentistry had the greatest growth with a total increase of 42 credits by 233.3%.The increase of dentistry courses and the decrease of medicine courses are the general trends for modern dental education. The dental school of NTU has the ability to provide more refined dentistry courses to catch the world trend of dental education.
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- 2022
7. Drug-disease association prediction via geometric deep learning and negative sample selection
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Bo-Wei Zhao, Lun Hu, Peng-Wei Hu, Xiao-Rui Su, Dong-Xu Li, Yi-Zhou He, and Yue Yang
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Background: Traditional drug development takes a good deal of time and effort, computational drug repositioning enables to discover the underlying mechanisms of drugs, thereby reducing the cost of drug discovery and development. However, present methods merely consider structure-based drug-related network for feature extraction of drugs and diseases in the biological network. Results: In this paper, we develop a novel model, namely DRGDL, based on geometric deep learning and negative sample selection to infer potential drug-disease associations (DDAs), which can more comprehensively make use of the biological features of drugs and diseases. Specifically, the lower-order and higher-order representations of drugs and diseases are captured by two different geometric deep learning strategies, and then negative samples are constructed by a negative selection strategy. A machine learning classifier is applied to complete the prediction task of DDAs by integrating two representations of drugs and diseases. Experiment results demonstrate that DRGDL achieves excellent performance under ten-fold cross-validation on the benchmark dataset.
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- 2022
8. Modeling correlated samples via sparsematrix Gaussian graphical models.
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Yi-zhou He, Xi Chen, and Hao Wang 0026
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- 2013
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9. Deviation from the Brownian motion expectation implies episodic adaptive divergences in traits of Lithocarpus species in Taiwan
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Min-Xin Luo, Meng-Yuan Huang, Chih-Kai Yang, Yi-Zhou He, Bing-Hong Huang, and Pei-Chun Liao
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Phylogenetic constraint ,Adaptive divergence ,lcsh:Biology (General) ,Trait evolution ,Lithocarpus ,Brownian motion model ,lcsh:QH301-705.5 ,Continuous trait - Abstract
Adaptive trait divergence is usually episodic rather than universal in a phylogeny. To determine whether trait divergence reaches an extreme level (i.e. deviation from neutrality), the evolutionary rate of the species and intraspecific variation must be taken into account. Accordingly, we attempt to explore the trend of trait divergence over divergence times conditioned on the genetic distance. The Brownian motion (BM) model, a commonly used random-walk process for describing the neutral evolution of traits, is used to simulate the distribution of trait divergence under neutrality. The observed trait divergences are then compared to the BM expectations to detect outliers, which are considered to be selected. We assessed the ability of this method to characterize trait divergence under selection among 14 Lithocarpus species in Taiwan. The results are consistent with the previous inference of phylogenetic constraint based on tests of the phylogenetic signal, but further signals of adaptive and conserved trait divergences are detected between some lineages derived from particular nodes (common ancestors), indicating differential investments in growth rate and chemical defense among some endemic species in Taiwan. These results show that the adaptive divergence of environment-related traits is transient, episodic, and punctuated. Under strong selection pressure, the trait divergence after standard deviation correction will be more significant because the trait variance within the population decreases. However, it tends to be an overestimation of conservative evolution in older common ancestors due to the larger standard deviation produced from diverse descendants. Nevertheless, this study still provides a simple approach to detect adaptive divergence in a phylogenetic framework.
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- 2019
10. Value of the combination of renal resistance index and central venous pressure in the early prediction of sepsis-induced acute kidney injury
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Shilong Lin, Ming Zhong, Duming Zhu, Yi-Zhou He, Wei Wu, and Jieqiong Song
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medicine.medical_specialty ,Receiver operating characteristic ,Septic shock ,business.industry ,Central venous pressure ,Acute kidney injury ,Renal function ,030208 emergency & critical care medicine ,030204 cardiovascular system & hematology ,urologic and male genital diseases ,Critical Care and Intensive Care Medicine ,medicine.disease ,female genital diseases and pregnancy complications ,Sepsis ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Predictive value of tests ,medicine ,Cardiology ,business ,Prospective cohort study - Abstract
Purpose Early prediction of acute kidney injury (AKI) in septic patients is difficult. This study aimed to assess the values of renal resistive index (RI), central venous pressure (CVP), and their combination in the early prediction of sepsis-induced AKI. Methods A prospective cohort study was performed in septic patients. The variables potentially associated with AKI were recorded at admission and compared between the AKI and non-AKI groups. The variables independently associated with sepsis-induced AKI were identified using multivariable logistic regression, and the area under the receiver operating characteristic curve (AUROC) analysis was calculated. Results A total of 124 septic patients were included. Septic shock (OR, 3.28; P = 0.002), high CVP (OR, 1.92; P = 0.012) and renal RI (OR, 2.58; P = 0.009), low diastolic perfusion pressure (DPP) (OR, 2.15; P = 0.010) at admission were independent risk factors for sepsis-induced AKI. The AUROC value of the combination of RI and CVP was greater compared with either RI or CVP alone in predicting sepsis-induced AKI (AUROC = 0.858, 0.811, and 0.780, respectively). Conclusions The combination of RI and CVP was more valuable than either of the two parameters in the early prediction for sepsis-induced AKI.
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- 2018
11. A comparison of longitudinal and transverse approaches to ultrasound-guided axillary vein cannulation by experienced operators
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Du-ming Zhu, Ming Zhong, Wei Wu, Yi-Zhou He, and Jieqiong Song
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Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,business.industry ,Radiography ,Ultrasound ,Vascular access ,030208 emergency & critical care medicine ,Retrospective cohort study ,medicine.disease ,Ultrasound guided ,Surgery ,03 medical and health sciences ,Transverse plane ,0302 clinical medicine ,Pneumothorax ,030202 anesthesiology ,medicine ,Original Article ,Radiology ,Axillary vein ,business - Abstract
Background: The axillary vein is an easily accessible vessel that can be used for ultrasound-guided central vascular access and offers an alternative to the internal jugular and subclavian veins. The objective of this study was to identify which transducer orientation, longitudinal or transverse, is better for imaging the axillary vein with ultrasound. Methods: We analyzed 236 patients who had undergone central venous cannulation of axillary vein in this retrospective study. Patients were divided into two groups, the longitudinal approach group (n=120) and transverse approach group (n=116). Recorded the one-attempt success rate, operation time, arterial puncture rate and pneumothorax rate. We perform chest radiography to confirm pneumothorax on all patients. We compared the one-attempt success rate, operation time, arterial puncture rate and pneumothorax rate between the two groups. Results: The two groups were comparable with clinical characters of patients. The overall success rates of the longitudinal group and the transverse group were both 100%. The rate of one-attempt success in the longitudinal approach group is higher than the transverse approach group (91.7% vs. 82.8%, P=0.040). The transverse approach group had shorter operation time than the longitudinal group (184.7±8.1 vs. 287.5±19.6 seconds, P=0.000). The two groups had lower postoperative complications. Arterial puncture occurred in 1 of 120 longitudinal and 2 of 116 transverse attempts and this difference was no significant (P=0.541). No pneumothorax occurred in the two groups. Conclusions: The longitudinal approach during ultrasound-guided axillary vein cannulation is associated with greater one-attempt success rate compared with the transverse approach by experienced operators. The transverse approach has shorter operation time. The two groups have lower postoperative complications and are comparable with pneumothorax and arterial puncture.
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- 2017
12. Protein tyrosine phosphatase PTP4A1 promotes proliferation and epithelial-mesenchymal transition in intrahepatic cholangiocarcinoma via the PI3K/AKT pathway
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Meng Duan, Long-Zi Liu, Lijie Ma, Liu-Xiao Yang, Qiang Gao, Pingping Dong, Xiaoying Wang, Jia Fan, Xinyang Liu, Jian Zhou, Zhi-Chao Wang, Yi-Zhou He, and Jie-Yi Shi
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Male ,0301 basic medicine ,Pathology ,medicine.medical_specialty ,Epithelial-Mesenchymal Transition ,Gene Expression ,Cell Cycle Proteins ,Metastasis ,Cholangiocarcinoma ,Mice ,Phosphatidylinositol 3-Kinases ,03 medical and health sciences ,0302 clinical medicine ,Cell Movement ,intrahepatic cholangiocarcinoma ,oncogene ,Cell Line, Tumor ,medicine ,Animals ,Humans ,Epithelial–mesenchymal transition ,Protein kinase B ,PTP4A1 ,PI3K/AKT/mTOR pathway ,Cell Proliferation ,Oncogene ,business.industry ,Membrane Proteins ,Cancer ,Prognosis ,medicine.disease ,Disease Models, Animal ,030104 developmental biology ,Bile Duct Neoplasms ,Oncology ,Tumor progression ,030220 oncology & carcinogenesis ,Disease Progression ,Cancer research ,Protein Tyrosine Phosphatases ,Liver cancer ,business ,Proto-Oncogene Proteins c-akt ,Signal Transduction ,Research Paper - Abstract
// Long-Zi Liu 1, * , Yi-Zhou He 2, * , Ping-Ping Dong 3, * , Li-Jie Ma 1 , Zhi-Chao Wang 1 , Xin-Yang Liu 4 , Meng Duan 1 , Liu-Xiao Yang 1 , Jie-Yi Shi 1 , Jian Zhou 1 , Jia Fan 1 , Qiang Gao 1 , Xiao-Ying Wang 1 1 Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai 200032, P. R. China 2 Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R, China 3 Department of Gastroenterology and Hepatology, Zhongshan Hospital, Shanghai Institute of Liver Disease, Fudan University, Shanghai 200032, P. R. China 4 Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P. R. China * These authors have contributed equally to this work Correspondence to: Qiang Gao, email: gaoqiang@fudan.edu.cn Xiao-Ying Wang, email: wang.xiaoying1@zs-hospital.sh.cn Keywords: PTP4A1, intrahepatic cholangiocarcinoma, prognosis, oncogene, epithelial-mesenchymal transition Received: February 19, 2016 Accepted: September 02, 2016 Published: September 19, 2016 ABSTRACT The protein tyrosine phosphatase PTP4A1 is a key molecule that activates tyrosine phosphorylation, which is important for cancer progression and metastasis. However, the clinical implications and biological function of PTP4A1 in intrahepatic cholangiocarcinoma (ICC) remains unknown. Here, we showed that PTP4A1 was frequently overexpressed in ICC versus adjacent non-tumor tissues. This overexpression significantly correlated with aggressive tumor characteristics like the presence of lymph node metastasis and advanced tumor stages. Survival analysis further indicated that high PTP4A1 expression was significantly and independently associated with worse survival and increased recurrence in ICC patients. Moreover, through forced overexpression and knock-down of PTPT4A1, we demonstrated that PTP4A1 could significantly promote ICC cells proliferation, colony formation, migration, and invasion in vitro , and markedly enhance tumor progression in vivo . Mechanistically, PTP4A1 was involved in PI3K/AKT signaling and its downstream molecules, such as phosphorylation level of GSK3β and up-regulation of CyclinD1, in ICC cells to promote proliferation. Importantly, PTP4A1 induced ICC cells invasion was through activating PI3K/AKT signaling controlled epithelial-mesenchymal transition (EMT) process by up-regulating Zeb1 and Snail. Thus, PTP4A1 may serve as a potential oncogene that was a valuable prognostic biomarker and therapeutic target for ICC.
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- 2016
13. UBAP2 negatively regulates the invasion of hepatocellular carcinoma cell by ubiquitinating and degradating Annexin A2
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Zhao-Ru Dong, Xiao-Yong Huang, Zheng-Ji Song, Dou-Sheng Bai, Ai-Wu Ke, Chi Zhang, Liu-Xiao Yang, Jia-Bin Cai, Yi-Zhou He, Guo-Ming Shi, Chao Wu, and Peng-Fei Zhang
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Male ,0301 basic medicine ,Carcinoma, Hepatocellular ,03 medical and health sciences ,0302 clinical medicine ,Ubiquitin ,In vivo ,Cell Line, Tumor ,Biomarkers, Tumor ,medicine ,Humans ,Neoplasm Invasiveness ,neoplasms ,Annexin A2 ,Cell Proliferation ,Gene knockdown ,biology ,Cell growth ,Liver Neoplasms ,Ubiquitination ,Cancer ,ubiquitin associated protein 2 ,hepatocellular carcinoma ,Hep G2 Cells ,Middle Aged ,invasion ,Prognosis ,medicine.disease ,Molecular biology ,digestive system diseases ,In vitro ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,Hepatocellular carcinoma ,biology.protein ,Female ,Carrier Proteins ,Research Paper - Abstract
The ubiquitin-dependent proteasomal degradation of proteins controls signaling and cellular survival. In this study, we found that ubiquitin associated protein 2 (UBAP2) was significantly downregulated in hepatocellular carcinoma (HCC) tissues compared with adjacent normal tissues. Furthermore, higher expression of UBAP2 in cancer tissues was correlated with good prognosis in HCC patients. Knockdown of UBAP2 significantly enhanced the invasion and proliferation of HCC cells in vitro and promoted tumor growth in vivo, while enforced expression of UBAP2 impaired the aggressive ability and tumor growth of HCC cells. Mechanistically, UBAP2 formed a complex with Annexin A2 and promoted the degradation of Annexin A2 protein by ubiquitination, and then inhibited HCC progression. Collectively, UBAP2 appears as a novel marker for predicting prognosis and a therapeutic target for HCC.
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- 2016
14. The predictive value of plasma cytokines on gastroesophageal anastomotic leakage at an early stage in patients undergoing esophagectomy
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Ming Zhong, Yi-Zhou He, Jieqiong Song, Wei Wu, and Yuan Fang
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Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Receiver operating characteristic ,business.industry ,medicine.medical_treatment ,Interleukin ,Esophageal cancer ,medicine.disease ,Gastroenterology ,Surgery ,03 medical and health sciences ,0302 clinical medicine ,Cytokine ,Esophagectomy ,Anastomotic leakage ,030220 oncology & carcinogenesis ,Internal medicine ,medicine ,030211 gastroenterology & hepatology ,In patient ,Original Article ,Stage (cooking) ,business - Abstract
It's difficult to diagnose gastroesophageal anastomotic leakage (GAL) at early postoperative stage. This study was conducted to evaluate the early predictive value of plasma cytokines levels on GAL in patients undergoing esophagectomy.Consecutive esophageal cancer patients who underwent esophagectomy and admitted to Surgical Intensive Care Unit (SICU) just after surgery were retrospectively analyzed. The baseline and postoperative 1 day plasma cytokine levels were collected and analyzed to evaluate the predictive value for clinically important anastomotic leakage. Area under receiver operating characteristic curve (AUROC) analysis was also performed.A total of 183 patients were included. Sixteen patients (8.74%) experienced GAL (GAL group) and the others did not (non-GAL group). The concentrations of tumor necrosis factor-alpha (TNF-α), interleukin (IL)-2R, IL-6, IL-8 and IL-10 in plasma on the first postoperative day significantly increased in the GAL group than in the non-GAL group (P0.05). IL-6, IL-8 and IL-10 were fair predictors of GAL (AUROC0.7) and the other two cytokines were poorly predictive (AUROC0.7). The mean length of ICU and hospital stay were significantly longer in the GAL group than in the non-GAL group (P0.05).Plasma concentrations of IL-6, IL-8 and IL-10 on the first postoperative day can predict clinically important GAL in patients undergoing esophagectomy.
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- 2017
15. Statistical Analysis of the Degradation Data Based on Pseudo-Life Distribution
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Jun Sheng Wang, Yi Zhou He, Wei Hua Liu, and Yi Dong Wang
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Engineering ,Distribution (mathematics) ,business.industry ,Estimation theory ,Function model ,Product (mathematics) ,General Engineering ,Statistical model ,Focus (optics) ,business ,Reliability (statistics) ,Reliability engineering ,Degradation (telecommunications) - Abstract
Focus on solving the life and reliability problems of long-life and high reliability products, a method of modeling and parameter estimation on reliability evaluation and life prediction with accelerated degradation data was proposed in this paper. In the first, three statistical methods of degradation test were analyzed, then according to the features of accelerated degradation data, the statistical model of degradation data based on pseudo-life was established. This method can effectively utilize the horizontal information of degradation data of product under different accelerated stress level, and integrate the advantage that continuous-time function model fits the degradation curve of product strongly, and improve the accuracy of reliability assessment and life prediction of product.
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- 2014
16. Combination of caspofungin and low-dose trimethoprim/sulfamethoxazole for the treatment of severe Pneumocystis jirovecii pneumonia in renal transplant recipients
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Min-Jie Ju, Ming Xu, Yi-Zhou He, Guo-Wei Tu, Zhang-Gang Xue, Tongyu Zhu, Zhe Luo, and Ruiming Rong
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medicine.medical_specialty ,business.industry ,Incidence (epidemiology) ,Sulfamethoxazole ,General Medicine ,urologic and male genital diseases ,bacterial infections and mycoses ,medicine.disease ,Trimethoprim ,chemistry.chemical_compound ,chemistry ,Pneumocystis carinii ,Nephrology ,Internal medicine ,medicine ,Caspofungin ,Complication ,Intensive care medicine ,Adverse effect ,business ,Kidney transplantation ,medicine.drug - Abstract
Pneumocystis jirovecii pneumonia (PJP) is a severe and life-threatening complication in immunocompromised patients. Trimethoprim/sulfamethoxazole (TMP-SMZ) is well known for its effectiveness as prophylaxis of PJP. However, the use of TMP-SMZ is associated with various adverse effects that may not be tolerated by critically ill patients. Caspofungin is recommended for invasive fungal infections, but the treatment of PJP after solid organ transplantation (SOT) is an off-label use of this drug. In this study, three cases of severe PJP in renal transplant recipients treated with a combination of caspofungin and low-dose TMP-SMZ were presented. Initial findings indicated that the combined treatment may be beneficial for the treatment of PJP and decrease the incidence of TMP-SMZ-related adverse effects.
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- 2013
17. Research on Figure Test and Skew Kurtosis Test of the Normal Distribution
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Jian Ting Zheng, Jin Huang Wu, Jun Sheng Wang, and Yi Zhou He
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General Engineering ,Pearson's chi-squared test ,Test method ,Test (assessment) ,Normal distribution ,Exact test ,Normality test ,symbols.namesake ,Goodness of fit ,Statistics ,Kurtosis ,symbols ,Algorithm ,Mathematics - Abstract
The object of the statistical analysis is the statistical information. To correctly identify the type of statistical information is the most important prerequisite for rational use of statistical analysis methods. In this paper, the common methods for normality test are introduced theoretically. And the figure test and partial kurtosis test of normal distribution are proposed with detailed testing steps, suitable situation and mathematical model. It is demonstrated by simulation that both have good test results and practical value.
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- 2013
18. The Statistics Analysis of Degradation Data Based on the Degradation Amount Distribution
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Jin Huang Wu, Yi Dong Wang, Yi Zhou He, and Wei Hua Liu
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Engineering ,business.industry ,Reliability study ,General Engineering ,Statistical model ,Failure data ,Life test ,business ,Reliability (statistics) ,Analysis method ,Reliability engineering ,Degradation (telecommunications) - Abstract
In order to solve the key technology and method in reliability study of the long-life products, the analysis method of degradation data based on the degradation amount distribution was proposed in this paper. On the basis of statistical model, by analyzing three models of degradation amount distribution, it can be got there is a large number of reliability information with high-reliable and long-life products in performance degradation data. In the case of not getting the failure data by life test and accelerated life test, reliability assessment and life prediction could be carried out for high reliability and long life products with performance degradation data.
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- 2013
19. The Statistics Analysis of Degradation Data Based on the Degradation Amount Distribution
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Jun Sheng Wang, Yi Zhou He, Jin Huang Wu, and Jun Wei Lei
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General Engineering - Abstract
In order to solve the key technology and method in reliability study of the long-life products, the analysis method of degradation data based on the degradation amount distribution was proposed in this paper. On the basis of statistical model, by analyzing three models of degradation amount distribution, it can be got there is a large number of reliability information with high-reliable and long-life products in performance degradation data. In the case of not getting the failure data by life test and accelerated life test, reliability assessment and life prediction could be carried out for high reliability and long life products with performance degradation data.
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- 2013
20. The Research on Degradation Failure Life and Degradation Data Structure
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Yi Dong Wang, Jun Wei Lei, Hai Bo Liu, and Yi Zhou He
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Engineering ,business.industry ,Cumulative distribution function ,General Engineering ,Conditional probability ,Degradation process ,Data structure ,business ,Reliability (statistics) ,Degradation (telecommunications) ,Reliability engineering - Abstract
In order to solve the reliability assessment in the case of competition failure induced by the coexistence between burst-type failure and degradation-type failure in the product, the method of degradation amount distribution was adopted to describe the degradation process of performance in product. Considering the relativity between sudden failure and degradation degree, the cumulative distribution function of sudden failure was calculated from the standpoint of degradation amount. Eliminating the affect of sudden failure according to a certain conditional probability in the degradation amount distribution function, which helps to realize reliability assessment based on competitive failure analysis.
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- 2013
21. Modeling correlated samples via sparsematrix Gaussian graphical models
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Hao Wang, Yi Zhou He, and Xi Chen
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Computer science ,Estimation theory ,business.industry ,Computation ,Gaussian ,General Engineering ,Sample (statistics) ,Markov chain Monte Carlo ,Machine learning ,computer.software_genre ,symbols.namesake ,Distribution (mathematics) ,symbols ,Artificial intelligence ,Graphical model ,business ,computer ,Algorithm ,Variable (mathematics) - Abstract
A new procedure of learning in Gaussian graphical models is proposed under the assumption that samples are possibly dependent. This assumption, which is pragmatically applied in various areas of multivariate analysis ranging from bioinformatics to finance, makes standard Gaussian graphical models (GGMs) unsuitable. We demonstrate that the advantage of modeling dependence among samples is that the true discovery rate and positive predictive value are improved substantially than if standard GGMs are applied and the dependence among samples is ignored. The new method, called matrix-variate Gaussian graphical models (MGGMs), involves simultaneously modeling variable and sample dependencies with the matrix-normal distribution. The computation is carried out using a Markov chain Monte Carlo (MCMC) sampling scheme for graphical model determination and parameter estimation. Simulation studies and two real-world examples in biology and finance further illustrate the benefits of the new models.
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- 2013
22. Cytokeratin 10 and Cytokeratin 19: Predictive Markers for Poor Prognosis in Hepatocellular Carcinoma Patients after Curative Resection
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Yang Xu, Jia Fan, Qiang Gao, Hui-Chuan Sun, Jian Zhou, Qing Lu, Rong-Xin Chen, Yuan Ji, Xin-Rong Yang, Guo-Huan Yang, Guo-Ming Shi, Zhi-Quan Wu, Shuang-Jian Qiu, Zhao-You Tang, Yi-Zhou He, Bing Yu, Bing Wu, and Weng-Zhen Qin
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Adult ,Male ,Oncology ,Cancer Research ,medicine.medical_specialty ,Pathology ,Carcinoma, Hepatocellular ,Immunofluorescence ,Cohort Studies ,Cytokeratin ,Cell Line, Tumor ,Internal medicine ,Biomarkers, Tumor ,medicine ,Carcinoma ,Humans ,Postoperative Period ,Stage (cooking) ,Survival analysis ,Aged ,Aged, 80 and over ,Keratin-19 ,medicine.diagnostic_test ,business.industry ,Liver Neoplasms ,Cancer ,Keratin-10 ,Middle Aged ,Prognosis ,medicine.disease ,Survival Analysis ,digestive system diseases ,Tissue Array Analysis ,Hepatocellular carcinoma ,Female ,Liver cancer ,business ,Follow-Up Studies - Abstract
Purpose: Cytokeratin 10 (CK10) was found to be expressed differently in human hepatocellular carcinoma (HCC) cell lines with different metastatic potentials in our previous research. The aim of this study was to assess the value of CK10 alone or in combination with cytokeratin 19 (CK19) in predicting tumor recurrence after curative resection in HCC patients. Experimental Design: CK10 expression in stepwise metastatic HCC cell lines and tumor tissues from 50 HCC patients was investigated using immunofluorescence assay, quantitative real-time reverse transcription-PCR, and Western blot analyses. Tumor tissue microarrays of 300 HCC patients who underwent curative resection between 1997 and 2000 were used to detect the expressions of CK10 and CK19. Clinicopathologic data for these patients were evaluated. The prognostic significance was assessed using Kaplan-Meier survival estimates and log-rank tests. Results: CK10 was overexpressed in the high metastatic HCC cell line and in tumor tissues of recurrent patients. Both univariate and multivariate analyses revealed that CK10 was a significant predictor for overall survival (OS) and disease-free survival, and that CK19 was a significant predictor for OS. CK10 expression was correlated with poor prognosis regardless of α-fetoprotein, tumor-node-metastasis stage, and vascular invasion. The 7-year OS and disease-free survival rates in CK10+ and/or CK19+ patients were 30.0% and 37.6%, respectively, which were significantly lower than that of CK10−/CK19− patients (56.1% and 60.0%, respectively; P < 0.001). Conclusion: CK10 is associated with HCC invasiveness. CK10 alone, or in combination with CK19, can be a novel predictor for poor prognosis of HCC patients after curative resection.
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- 2008
23. Combination of caspofungin and low-dose trimethoprim/sulfamethoxazole for the treatment of severe Pneumocystis jirovecii pneumonia in renal transplant recipients
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Guo-Wei, Tu, Min-Jie, Ju, Ming, Xu, Rui-Ming, Rong, Yi-Zhou, He, Zhang-Gang, Xue, Tong-Yu, Zhu, and Zhe, Luo
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Adult ,Male ,Echinocandins ,Lipopeptides ,Caspofungin ,Pneumonia, Pneumocystis ,Trimethoprim, Sulfamethoxazole Drug Combination ,Humans ,Drug Therapy, Combination ,Middle Aged ,Pneumocystis carinii ,Kidney Transplantation - Abstract
Pneumocystis jirovecii pneumonia (PJP) is a severe and life-threatening complication in immunocompromised patients. Trimethoprim/sulfamethoxazole (TMP-SMZ) is well known for its effectiveness as prophylaxis of PJP. However, the use of TMP-SMZ is associated with various adverse effects that may not be tolerated by critically ill patients. Caspofungin is recommended for invasive fungal infections, but the treatment of PJP after solid organ transplantation (SOT) is an off-label use of this drug. In this study, three cases of severe PJP in renal transplant recipients treated with a combination of caspofungin and low-dose TMP-SMZ were presented. Initial findings indicated that the combined treatment may be beneficial for the treatment of PJP and decrease the incidence of TMP-SMZ-related adverse effects.
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- 2014
24. Effect of admission time on mortality in an intensive care unit in Mainland China: a propensity score matching analysis
- Author
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Yi-Zhou He, Hai-Lei Mao, Hong-Yu He, Min-Jie Ju, Zhang-Gang Xue, Duming Zhu, Zhe Luo, Yi-Qing Yin, Yan Han, Zhao-Guang Wu, Guo-Wei Tu, and Jian-Feng Luo
- Subjects
Male ,medicine.medical_specialty ,China ,Logistic regression ,Critical Care and Intensive Care Medicine ,law.invention ,Patient Admission ,law ,medicine ,Humans ,Hospital Mortality ,Propensity Score ,Survival analysis ,APACHE ,Aged ,APACHE II ,business.industry ,Research ,Confounding ,Retrospective cohort study ,Odds ratio ,Middle Aged ,Intensive care unit ,Intensive Care Units ,Propensity score matching ,Emergency medicine ,Female ,business - Abstract
Introduction The relationship between admission time and intensive care unit (ICU) mortality is inconclusive and influenced by various factors. This study aims to estimate the effect of admission time on ICU outcomes in a tertiary teaching hospital in China by propensity score matching (PSM) and stratified analysis. Methods A total of 2,891 consecutive patients were enrolled in this study from 1 January 2009 to 29 December 2011. Multivariate logistic regression and survival analysis were performed in this retrospective study. PSM and stratified analysis were applied for confounding factors, such as Acute Physiology and Chronic Health Evaluation II (APACHE II) score and admission types. Results Compared with office hour subgroup (n = 2,716), nighttime (NT, n = 175) subgroup had higher APACHE II scores (14 vs. 8, P
- Published
- 2013
25. Predictive value of N-terminal pro-brain natriuretic peptide in combination with the sequential organ failure assessment score in sepsis
- Author
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Min-Jie, Ju, Du-Ming, Zhu, Guo-Wei, Tu, Yi-Zhou, He, Zhang-Gang, Xue, Zhe, Luo, and Zhao-Guang, Wu
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Male ,Organ Dysfunction Scores ,Creatinine ,Sepsis ,Natriuretic Peptide, Brain ,Humans ,Female ,Hospital Mortality ,Middle Aged ,Peptide Fragments ,Aged ,Retrospective Studies - Abstract
The prognostic power of n-terminal pro-brain natriuretic peptide (NT-proBNP) in sepsis is disputable and unstable among different models. We attempt to evaluate the prognostic potential of NT-proBNP in combination with the sequential organ failure assessment (SOFA) score in sepsis.In this retrospective study, 100 consecutive sepsis patients were enrolled. Clinical data such as admission SOFA, the Acute Physiologic and Chronic Health Evaluation score, shock prevalence, use of lung protective ventilation, vasopressors, and glucocorticoids were recorded. Additionally, serum creatinine (Scr1 and Scr3) and NT-proBNP (NT-proBNP1 and NT-proBNP3) were assayed and evaluated at admission and on day 3 respectively.DNT-proBNP (NT-proBNP3 minus NT-proBNP1) (P0.001, Hazard ratio (HR) = 1.245, 95% confidence interval (CI), 1.137 - 1.362) and admission SOFA (P0.001, HR = 1.197, 95%CI, 1.106 - 1.295) were independently related to in-hospital mortality. Their combination was a more robust predictor for in-hospital mortality than either of them individually. Patients with high DNT-proBNP and SOFA had the poorest prognosis.In our study, both DNT-proBNP and SOFA were independent predictors of septic patients' prognosis. Moreover, the combination of DNT-proBNP and admission SOFA provided a novel strategy that contained information regarding both the response to treatment and sepsis severity.
- Published
- 2012
26. Identification of side population cells in human hepatocellular carcinoma cell lines with stepwise metastatic potentials
- Author
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Guo-Ming Shi, Jiang Zhu, Guo-Huan Yang, Wei-Zhong Wu, Zhi-Quan Wu, Wen-Zhen Qin, Wu Zhang, Zhen-Bin Ding, Xin-Rong Yang, Yi-Zhou He, Yang Xu, Yong Liao, Jia Fan, Ai-Wu Ke, Zhi-Hui Min, Jian Zhou, Shuang-Jian Qiu, Yuan Ji, and Bing Wu
- Subjects
Cancer Research ,Pathology ,medicine.medical_specialty ,Carcinoma, Hepatocellular ,Cellular differentiation ,Flow cytometry ,Side population ,Cancer stem cell ,Cell Line, Tumor ,Carcinoma ,Medicine ,ATP Binding Cassette Transporter, Subfamily G, Member 2 ,Humans ,Neoplasm Metastasis ,Clonogenic assay ,Tumor Stem Cell Assay ,medicine.diagnostic_test ,business.industry ,Liver Neoplasms ,Cell Differentiation ,General Medicine ,medicine.disease ,Flow Cytometry ,Prognosis ,Molecular biology ,Neoplasm Proteins ,Gene Expression Regulation, Neoplastic ,Survival Rate ,Phenotype ,Oncology ,Cell culture ,Drug Resistance, Neoplasm ,ATP-Binding Cassette Transporters ,Stem cell ,business ,Cell Division - Abstract
To identify the side population (SP) cells from four hepatocellular carcinoma (HCC) cell lines with stepwise metastatic potentials.SP cells were sorted from HCCLM3, MHCC97-H, MHCC97-L and Hep3B by flow cytometry, and then analyzed by differentiation study, clonogenic assay, chemoresistance study and tumorigenicity assay in vivo. The expression of ABCG(2) in SP cells was detected by immunocytochemistry, western blotting and real-time quantitative PCR, respectively.There was significant difference in SP proportion among HCCLM3, MHCC97-H, MHCC97-L and Hep3B (28.7 +/- 1.6%, 14.5 +/- 0.6%, 4.2 +/- 0.4%, 0.9 +/- 0.1%, respectively, P0.01). All the SP cells showed similar characteristics of self-renewal, high clonogenicity, remarkable chemo-resistance and high expression of ABCG(2). As low as 2,000 SP cells could initiate tumors in non-obese diabetic/severe combined immunodeficiency mice successfully.SP cells purified from HCC cell lines harbors cancer stem cell-like properties, and may be related to the metastatic potentials and therapeutic-resistance of HCC.
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- 2008
27. Effect of admission time on mortality in an intensive care unit in mainland China: a propensity score matching analysis.
- Author
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Min-Jie Ju, Guo-Wei Tu, Yan Han, Hong-Yu He, Yi-Zhou He, Hai-Lei Mao, Zhao-Guang Wu, Yi-Qing Yin, Jian-Feng Luo, Du-Ming Zhu, Zhe Luo, and Zhang-Gang Xue
- Subjects
HOSPITAL admission & discharge ,INTENSIVE care units ,HOSPITAL mortality ,LENGTH of stay in hospitals ,TEACHING hospital management ,HOSPITALS - Abstract
Introduction The relationship between admission time and intensive care unit (ICU) mortality is inconclusive and influenced by various factors. This study aims to estimate the effect of admission time on ICU outcomes in a tertiary teaching hospital in China by propensity score matching (PSM) and stratified analysis. Methods A total of 2,891 consecutive patients were enrolled in this study from January 1, 2009 to December 29, 2011. Multivariate logistic regression and survival analysis were performed in this retrospective study. PSM and stratified analysis were applied for confounding factors, such as Acute Physiologic and Chronic Health Evaluation II (APACHE II) score and admission types. Results Compared with office hour subgroup (n = 2,716), nighttime (NT, n = 175) subgroup had higher APACHE II scores (14 vs. 8, P < 0.001), prolonged length of stay in the ICU (42 vs. 24 h, P = 0.011), and higher percentages of medical (8.6% vs. 3.3%, P < 0.001) and emergency (59.4% vs. 12.2%, P < 0.001) patients. Moreover, NT admissions were related to higher ICU mortality [odds ratio (OR), 1.725 (95% CI 1.118-2.744), P = 0.01] and elevated mortality risk at 28 days [14.3% vs. 3.2%; OR, 1.920 (95% CI 1.171-3.150), P = 0.01]. PSM showed that admission time remained related to ICU outcome (P = 0.045) and mortality risk at 28 days [OR, 2.187 (95% CI 1.119-4.271), P = 0.022]. However, no mortality difference was found between weekend and workday admissions (P = 0.849), even if weekend admissions were more related to higher APACHE II scores compared with workday admissions. Conclusions NT admission was associated with poor ICU outcomes. This finding may be related to shortage of onsite intensivists and qualified residents during NT. The current staffing model and training system should be improved in the future. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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