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- 저자 : Wen-hao Bi (검색결과 7 건)
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Dynamic Function Allocation Method for Aircraft Cockpit Based on Operator Functional State
Wen-hao Bi,An Zhang,Shui-da Bao 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
Dynamic function allocation for aircraft cockpit benefits the complementary between operators and automation and the whole system performance. We selected two important physiological parameters HRV2 and TLI2, which have great influences on the operator functional state (OFS) and took their measurements as a trigger mechanism for dynamic function allocation of the cockpit system. After that, we utilized fuzzy logic to put forward a dynamic adjustment methodology for the levels of automation and used MATLAB to verify the utility of the method.
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Prognostic value of programmed death-ligand 1 (PD-L1) expression in ovarian clear cell carcinoma
Jun Zhu,Hao Wen,Rui Bi,Yong Wu,Xiaohua Wu 대한부인종양학회 2017 Journal of Gynecologic Oncology Vol.28 No.6
Objective: Programmed death-ligand 1 (PD-L1) was expressed in various tumors andantibodies targeting its receptor programmed cell death-1 (PD-1) are emerging cancertherapeutics. This study was designed to evaluate the expression of PD-L1 and its correlationwith clinicopathologic features and clinical outcomes in ovarian clear cell carcinoma (OCCC). Methods: The PD-L1 expression was measured by tissue-microarray-basedimmunohistochemistry from 122 eligible patients diagnosed with OCCC. The associations ofclinicopathologic features with progression-free survival (PFS) and overall survival (OS) wereanalyzed by Kaplan-Meier method and multivariate analysis was further performed by Coxregression model. Results: Overall, high PD-L1 expression (PD-L1high) was observed in 44.7% (55/123) ofOCCC patients, and was strongly associated with advanced stages (p=0.020), positive asciticfluid (p=0.016), platinum-resistant (PR) disease (p=0.045), and recurrence (p=0.038). Moreover, patients with PD-L1high were associated with poorer OS (hazard ratio [HR]=2.877;p=0.001) and PFS (HR=1.843; p=0.021) than those with low PD-L1 expression (PD-L1low). In subgroup analysis, PD-L1high patients experienced a poorer PFS (HR=1.926; p=0.044)and OS (HR=2.492; p=0.021) than PD-L1low cases among advanced stages (III–IV), but thisdifference was not observed in stage I–II patients. Meanwhile, PD-L1high was associated withpoorer prognosis than PD-L1low in PR patients (OS, HR=2.253; p=0.037; PFS, HR=1.448;p=0.233). Multivariate analysis revealed that PD-L1high and advanced stages (III–IV) wereadverse independent prognosticators for both PFS (HRPD-L1=2.0; pPD-L1=0.038; HRstage=10.2;pstage<0.001) and OS (HRPD-L1=3.0; pPD-L1=0.011; HRstage=14.3; pstage<0.001). Conclusion: PD-L1high might serve as a risk factor for PFS and OS in patients with OCCC. It ispossible that immunotherapy targeting PD-L1 pathway could be used in OCCC.
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Zheng Feng,Hao Wen,Zhaoxia Jiang,Shuai Liu,Xingzhu Ju,Xiaojun Chen,Lingfang Xia,Junyan Xu,Rui Bi,Xiaohua Wu 대한부인종양학회 2018 Journal of Gynecologic Oncology Vol.29 No.5
Objective: To present the surgical outcomes of advanced epithelial ovarian cancer (AEOC) since the implementation of a personalized approach and to validate multiple predictive models for R0 resection. Methods: Personalized strategies included: 1) Non-invasive model: preoperative clinico-radiological assessment according to Suidan criteria with a predictive score for all individuals. Patients with a score 0–2 were recommended for primary debulking surgery (PDS, group A), or otherwise were counseled on the choices of PDS, neoadjuvant chemotherapy (NAC, group B) or staging laparoscopy (S-LPS). 2) Minimally invasive model: S-LPS with a predictive index value (PIV) according to Fagotti. Individuals with a PIV <8 underwent PDS (group C) or otherwise received NAC (group D). Intraoperative assessment (with Eisenkop, peritoneal cancer index [PCI], and Aletti scores) and surgical results were prospectively collected. Results: Between September 2015 and August 2017, 161 pathologically confirmed epithelial ovarian cancer patients were included. A total of 52 (32.3%) patients had a predictive score of 0–2, and 109 (67.7%) patients had a score ≥3. Among these individuals, 41 (25.5%) patients received S-LPS. Finally, 110 (68.3%) patients underwent PDS (A+C), and 51 (31.7%) patients received NAC (B+D). The R0 resection rates in PDS and NAC patients were 56.4% and 60.8%, respectively. The area under the curve (AUC) of Suidan criteria was 0.548 for group (A+C). The AUC of Fagotti score was 0.702 for group C. The AUC of Eisenkop, PCI, and Aletti scores were 0.808, 0.797, and 0.524, respectively. Conclusion: The Suidan criteria were not effective in these AEOC patients. S-LPS was helpful in decision-making for PDS and should be endorsed in the future.
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Application of Cornell Net Carbohydrate and Protein System to Lactating Cows in Taiwan
Chiou, Peter Wen-Shyg,Chuang, Chi-Hao,Yu, Bi,Hwang, Sen-Yuan,Chen, Chao-Ren Asian Australasian Association of Animal Productio 2006 Animal Bioscience Vol.19 No.6
The aim of this study was to apply the Cornell net carbohydrate and protein system (CNCPS) in subtropical Taiwan. This was done by means of 3 trials, viz, in situ, lactation and metabolic trials, the latter using the urinary purine derivatives (UPD) to estimate the ruminal microbial yield. Dietary treatments were formulated according to different nutrient requirement systems including, (1) a control NRC78 group on NRC (1978), (2) a NRC88 group on NRC (1988), and (3) a CNCPS group on Cornell Net carbohydrate and protein system model. Results from the lactation trial showed that DM intake (DMI) was higher (p<0.05) in the NRC78 than the other treatment groups. The treatments did not significantly influence milk yield, but milk yield after covariance adjustment for DMI was higher in the CNCPS group (p<0.05). The FCM, milk fat content and yield were greater in both the NRC78 and the NRC88 group over the CNCPS group (p<0.05). The treatments did not significantly influence the DMI adjusted FCM. The solid-non-fat and milk protein contents were higher in the CNCPS group (p<0.05) with or without DMI covariance adjustment. Lactating efficiency was higher in the CNCPS group (p<0.05) compared to the other groups. The significantly lowest milk urea-N (MUN) with better protein utilization efficiency in the CNCPS group (p<0.05) suggested that less N would be excreted into the environment. Cows in the CNCPS group excreted significantly more and the NRC88 group significantly less urinary purine derivatives (UPD) implying that more ruminal microbial protein was synthesized in the CNCPS over the NRC88 group. The CNCPS could become the most useful tool in predicting the trends in milk yield, microbial yield and MUN.
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Jun Zhu,Hao Wen,Rui Bi,Xiaohua Wu 대한부인종양학회 2016 Journal of Gynecologic Oncology Vol.27 No.2
Objective: Uterine carcinosarcoma (UCS) shared the same staging system with endometrial carcinoma in the International Federation of Gynecology and Obstetrics 2009. The aim of the present study was to compare the clinicopathological and prognostic characteristics between UCS and grade 3 endometrioid endometrial carcinoma (G3EC). Methods: A retrospective analysis of 60 UCS and 115 G3EC patients with initial treatment at the Department of Gynecology in the Fudan University Shanghai Cancer Center between February 2006 and August 2013. Chi-square analysis was used to compare differences between variables. Prognostic factors were determined using univariate/multivariate analysis, and the survival rates were assessed using the Kaplan-Meier method. The Cox regression model was used to assess the independent prognostic factor. Results: UCS had significantly worse overall survival (OS) compared with G3EC. Carcinosarcoma subtype was an independent factor (hazard ratio [HR], 2.4; 95% confidence interval [CI], 1.0 to 5.8; p=0.039), stratified based on stage. Compared with G3EC, UCS patients had a greater incidence of ascites fluid (55.0% vs. 15.7%, p<0.001) and adnexal involvement (20.0% vs. 8.7%, p=0.048) and larger median tumor volume (4.6 cm vs. 4.0 cm, p=0.046). Subgroup analysis of the prognostic factors revealed that UCS patients exhibited worse OS than G3EC patients in such specific subgroups as patients at younger ages, with postmenopausal status, without ascites fluid, with early stage diseases, without vagina invasion, without lymph node metastases and receiving adjuvant chemo/radiotherapy. Adjuvant radiotherapy with chemotherapy was predictive of better survival in UCS patients compared with chemotherapy or radiotherapy alone (5-year OS, 71.0% vs. 35.8%, p=0.028). Multivariate Cox regression revealed that tumor mesenchymal component (HR, 4.6; 95% CI, 1.4 to 15.8; p=0.014) was an independent prognostic factor for UCS, whereas advanced stages (HR, 5.9; 95% CI, 1.0 to 33.9; p=0.046) and ascites fluid (HR, 5.1; 95% CI, 1.1 to 22.7; p=0.032) were independently correlated with poor prognosis for G3EC patients. Conclusion: The distinctions in both clinicopathological and prognostic characteristics between UCS and G3EC suggest that this subtype should be treated separately from high-risk epithelial endometrial carcinoma.
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