|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Progress of Optical Fiber Sensors and Its Application in Harsh Environment显示文摘Fiber sensors have been developed for industry application with significant advantages.In this paper,Fiber sensors for oil field service and harsh environment monitoring which have been investigated in Tsinghua University are demonstrated.By discussing the requirements of practical applications,the key technologies of long-period fiber grating(LPFG)based fiber sensor,optical spectrum analyzer for oil detection,laser induced breakdown spectroscopy(LIBS)system for soil contamination monitoring,and seismic sensor arrays are described. | Min ZHANG Xiaohong MA Liwei WANG Shurong LAI Hongpu ZHOU Huafeng ZHAO Yanbiao LIAO | 2011 | Photonic Sensors2011，1，1： | 2 |
| 2 | Simultaneous Measurement of Down-hole High Pressure and Temperature With a Bulk-modulus and FBG Sensor显示文摘 | Yong Zhao Yanbiao Liao Shurong Lai | 2002 | IEEE Photonics Technology Letters2002，14，11： | 1 |
| 3 | Simultaneous Measurement of Down-hole High Pressure and Temperature with a Bulk-modulus and FBG Sensor显示文摘 | Zhao Yong Liao Yanbiao Lai Shurong | 2002 | IEEE Photonics Technology Letters2002，14，11： | 1 |
| 4 | Simultaneous measurement of down-hole high pressure and temperature with a bulk-modulus and FBG sensor显示文摘 | ZHAO Yong LIAO Yanbiao LAI Shurong | 2002 | IEEE Photonics Technology Letters2002，14，11： | 1 |
| 5 | Simultaneous measurement of down-hole high pressure and temperature with a bulk-modulus and FBG sensor 显示文摘 | Yong Zhao Yanbiao Liao Shurong Lai | 2002 | IEEE Photonics Technology Letters2002，14，11： | 1 |
| 6 | A novel multimodal prediction model based on DNA methylation biomarkers and low-dose computed tomography images for identifying early-stage lung cancer显示文摘Objective:DNA methylation alterations are early events in carcinogenesis and immune signalling in lung cancer.This study aimed to develop a model based on short stature homeobox 2 gene (SHOX2)/prostaglandin E receptor 4gene (PTGER4) DNA methylation in plasma,appearance subtype of pulmonary nodules (PNs) and low-dose computed tomography (LDCT) images to distinguish early-stage lung cancers.Methods:We developed a multimodal prediction model with a training set of 257 individuals.The performance of the multimodal prediction model was further validated in an independent validation set of 42 subjects.In addition,we explored the association between SHOX2/PTGER4 DNA methylation and driver gene mutations in lung cancer based on data from The Cancer Genome Atlas (TCGA) portal.Results:There were significant differences between the early-stage lung cancers and benign groups in the methylation levels.The area under a receiver operator characteristic curve (AUC) of SHOX2 in patients with solid nodules,mixed ground-glass opacity nodules and pure ground-glass opacity nodules were 0.693,0.497 and 0.864,respectively,while the AUCs of PTGER4 were 0.559,0.739 and 0.619,respectively.With the highest AUC of0.894,the novel multimodal prediction model outperformed the Mayo Clinic model (0.519) and LDCT-based deep learning model (0.842) in the independent validation set.Database analysis demonstrated that patients with SHOX2/PTGER4 DNA hypermethylation were enriched in TP53 mutations.Conclusions:The present multimodal prediction model could more efficiently distinguish early-stage lung cancer from benign PNs.A prognostic index based on DNA methylation and lung cancer driver gene alterations may separate the patients into groups with good or poor prognosis. | Jing Zhang Haohua Yao Chunliu Lai Xue Sun Xiujuan Yang Shurong Li Yubiao Guo Junhang Luo Zhihua Wen Kejing Tang | 2023 | Chinese Journal of Cancer Research2023，35，5： | 0 |
| 7 | Optimal algorithms and intuitive explanations for Markowitz's portfolio selection model and Sharpe's ratio with no short-selling显示文摘Most of the previous researches about portfolio analysis focus on short-selling. In fact, no short-selling is also important because short-selling is not allowed in stock markets of some coun-tries. This paper gives the suffcient and necessary conditions and proposes an optimal algorithm for Markowitz's mean-variance models and Sharpe's ratio with no short-selling. The optimal algorithm makes it easier to obtain the effcient frontiers with no short-selling. | SHI NingZhong LAI Min ZHENG ShuRong ZHANG BaoXue | 2008 | Science China Mathematics2008，51，11： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员