http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : HongQuan Liu (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke
Zhou Yiran,Wu Di,Yan Su,Xie Yan,Zhang Shun,Lv Wenzhi,Qin Yuanyuan,Liu Yufei,Liu Chengxia,Lu Jun,Li Jia,Zhu Hongquan,Liu Weiyin Vivian,Liu Huan,Zhang Guiling,Zhu Wenzhen 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.8
Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion: The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcome
-
Jiao Han,YiMing Zeng,Ying Song,HongQuan Liu 대한금속·재료학회 2019 ELECTRONIC MATERIALS LETTERS Vol.15 No.3
SrTiO 3 fi bers were fabricated by an in situ hydrothermal method using hydrated TiO 2 fi bers as both template and reactant. La 0.1 Dy 0.1 Sr 0.75 TiO 3 powders containing x wt.% SrTiO 3 fi bers ( x = 0, 1, 3, 5) were prepared by the sol–gel method andthen sintered at 1450 °C under a reducing atmosphere (N 2 /H 2 = 95/5). XRD analysis showed that the samples were mainlycomposed of SrTiO 3 phase and a few Dy 2 Ti 2 O 7 phase. TiO 2 phase was detected in the samples with x = 3 and x = 5, and itspeak intensity clearly reinforced with increasing x . With the addition of SrTiO 3 fi bers, the electrical conductivity increasedsignifi cantly and the Seebeck coeffi cient kept almost unchanged, resulting in a high power factor of 1015 μW m −1 K −2 at200 °C with a loading of 3 wt.% SrTiO 3 fi bers. Meanwhile, combined with low thermal conductivity, the sample with 3 wt.%SrTiO 3 fi bers showed the peak ZT value of 0.19 at 500 °C, which was 127% higher than that of La 0.1 Dy 0.1 Sr 0.75 TiO 3 .
-
Trichoderma biodiversity in major ecological systems of China
Kai Dou,Jinxin Gao,Chulong Zhang,Hetong Yang,Xiliang Jiang,Jishun Li,Yaqian Li,Wei Wang,Hongquan Xian,Shigui Li,Yan Liu,Jindong Hu,Jie Chen 한국미생물학회 2019 The journal of microbiology Vol.57 No.8
An investigation of Trichoderma biodiversity involving a large-scale environmental gradient was conducted to understand the Trichoderma distribution in China. A total of 3,999 isolates were isolated from forestry, grassland, wetland and agriculture ecosystems, and 50 species were identified based on morphological characteristics and sequence analysis of genetic markers. Trichoderma harzianum showed the largest proportion of isolates and the most extensive distribution. Hypocrea semiorbis, T. epimyces, T. konilangbra, T. piluliferum, T. pleurotum, T. pubescens, T. strictipilis, T. hunua, T. oblongisporum and an unidentified species, Trichoderma sp. MA 3642, were first reported in China. Most Trichoderma species were distributed in Jilin and Heilongjiang Provinces in northeast China and the fewest were distributed in Qinghai Province. Based on the division of ecological and geographic factors, forestry ecosystems and low-altitude regions have the greatest species biodiversity of Trichoderma.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
