SERS-Enabled Lab-on-a-Chip Systems

Surface-enhanced Raman spectroscopy (SERS) has been combined with microfluidic Lab-on-a-Chip (LoC) systems for sensitive optofluidic detection for more than a decade. However, most microfluidic SERS devices still suffer from analyte contamination and signal irreproducibility. In recent years, both the microfluidics and SERS communities have developed their own solutions that are complementary to each other; their combination even has potential for commercialization. In this review, the recent advances in both fields are summarized with regard to the development of reliable multifunctional SERS-enabled LoC systems and their broad applications. Starting from SERS fundamentals, reproducible SERS substrates and dynamic microfluidic trapping are discussed. Based on their combination, on-chip applications beyond SERS are presented, and insight can be gained into the commercialization of portable SERS chips.postprin

Effect of Micro-gas Inclusions on Abnormally Delayed Mechanical Behaviour of Intact Rocks after Excavation

Jointly Organized by Chinese Society for Rock Mechanics and Engineering (CSRME) and The University of Hong Kong (HKU)Parallel Session 3 – Best Paper Award Competition for Young Researcherspublished_or_final_versio

A possible mechanism to tune magneto-electroluminescence in organic light-emitting diodes through adjusting the triplet exciton density

At 15 K, the high field decay of magneto-electroluminescence (MEL) in tris (8-hydroxyquinoine) aluminum (Alq 3)-based organic light-emitting diodes is greatly suppressed by mixing hole transport material N,N′-bis(naphthalen-1-y)-N,N′-bis(phenyl) benzidine (NPB) into Alq 3 emission layer. The positive correlation between the MEL decay and the triplet exciton density indicates the reduced triplet exciton density is the major contributing factor. The change of triplet exciton density and then the MEL upon NPB mixing may result from the strengths change of charge-triplets interaction, in which the injected charges flowing through the exciton formation zone without forming static space charges play the most important role. © 2011 American Institute of Physics.published_or_final_versio

ERS-2 SAR反演海洋风矢量的研究

Author name used in this publication: 陈艳玲Author name used in this publication: 丁晓利, DING Xiao-liAuthor name used in this publication: 李志伟Title in Traditional Chinese: ERS-2 SAR反演海洋風矢量的研究Journal title in Traditional Chinese: 地球物理學報2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

虚拟参考站技术中对流层误差建模方法研究

Author name used in this publication: 黄丁发Author name used in this publication: 丁晓利, DING Xiao-liAuthor name used in this publication: 殷海涛Title in Traditional Chinese: 虛擬參考站技術中對流層誤差建模方法研究Journal title in Traditional Chinese: 測繪學報2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Novel OCRL mutations in children with Lowe Syndrome

Background: Lowe syndrome is a rare X-linked recessive hereditary disease caused by mutations of the OCRL gene, which encodes an inositol polyphosphate-5-phosphatase. The disease is clinically characterized by congenital cataracts, psychomotor retardation, and proximal tubulopathy. Methods: We retrospectively reviewed three unrelated Chinese patients with Lowe syndrome, clinically diagnosed by the abnormalities of eyes, nervous system, and kidneys. Genetic analysis of the OCRL gene was done for the three patients as well as their family members. Results: Three OCRL gene mutations were detected in our study. Two of the mutations, g.1897delT in exon 18 (patient 1) and g.1470delG in exon 15 (patient 2), were novel. A missense mutation (p.Y513C) in exon 15, which had been reported previously, was found in patient 3. The mothers of all patients were heterozygous carriers of the respective mutations. Conclusion

GPS结构振动监测数据滤波方法及其性能实验研究

Author name used in this publication: 钟萍Author name used in this publication: 丁晓利, DING Xiao-liAuthor name used in this publication: 郑大伟Author name used in this publication: 陈武Title in Traditional Chinese: GPS結構振動監測數據濾波方法及其性能實驗研究Journal title in Traditional Chinese: 測繪學報2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

GPS多路径效应影响与结构振动的小波滤波筛分研究

Author name used in this publication: 黄丁发Author name used in this publication: 丁晓利, DING Xiao-liAuthor name used in this publication: 陈永奇Author name used in this publication: 龚涛Author name used in this publication: 熊永良Title in Traditional Chinese: GPS多路徑效應影響與結構振動的小波濾波篩分研究Journal title in Traditional Chinese: 測繪學報2000-2001 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

基于小波变换的单历元算法及其在结构振动监测中的应用研究

Author name used in this publication: 丁晓利Author name used in this publication: 黄丁发, HUANG Ding-faAuthor name used in this publication: 陈惠珊Title in Traditional Chinese: 基于小波變換的單歷元算法及其在結構振動監測中的應用研究Journal title in Traditional Chinese: 測繪學報2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Identification of disease-causing genes using microarray data mining and gene ontology

Background: One of the best and most accurate methods for identifying disease-causing genes is monitoring gene expression values in different samples using microarray technology. One of the shortcomings of microarray data is that they provide a small quantity of samples with respect to the number of genes. This problem reduces the classification accuracy of the methods, so gene selection is essential to improve the predictive accuracy and to identify potential marker genes for a disease. Among numerous existing methods for gene selection, support vector machine-based recursive feature elimination (SVMRFE) has become one of the leading methods, but its performance can be reduced because of the small sample size, noisy data and the fact that the method does not remove redundant genes. Methods: We propose a novel framework for gene selection which uses the advantageous features of conventional methods and addresses their weaknesses. In fact, we have combined the Fisher method and SVMRFE to utilize the advantages of a filtering method as well as an embedded method. Furthermore, we have added a redundancy reduction stage to address the weakness of the Fisher method and SVMRFE. In addition to gene expression values, the proposed method uses Gene Ontology which is a reliable source of information on genes. The use of Gene Ontology can compensate, in part, for the limitations of microarrays, such as having a small number of samples and erroneous measurement results. Results: The proposed method has been applied to colon, Diffuse Large B-Cell Lymphoma (DLBCL) and prostate cancer datasets. The empirical results show that our method has improved classification performance in terms of accuracy, sensitivity and specificity. In addition, the study of the molecular function of selected genes strengthened the hypothesis that these genes are involved in the process of cancer growth. Conclusions: The proposed method addresses the weakness of conventional methods by adding a redundancy reduction stage and utilizing Gene Ontology information. It predicts marker genes for colon, DLBCL and prostate cancer with a high accuracy. The predictions made in this study can serve as a list of candidates for subsequent wet-lab verification and might help in the search for a cure for cancers