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基于Tesseract_OCR的藏文手写乌金体研究

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长江信息通信 2024年第3期37卷 144-147页

作者：唐梦坤陈汝真陈柏霖贾裕民马柯研西藏大学信息科学技术学院西藏拉萨850000

目前,关于藏文手写乌金体识别的研究较为有限,因此研究藏文手写乌金体识别系统有一定意义。文章的主要研究内容包括利用Tesseract_OCR识别引擎来实现对藏文手写乌金体的自动识别以及相关字库的训练。同时,本文使用Matlab编程语言来高效... 详细信息

目前,关于藏文手写乌金体识别的研究较为有限,因此研究藏文手写乌金体识别系统有一定意义。文章的主要研究内容包括利用Tesseract_OCR识别引擎来实现对藏文手写乌金体的自动识别以及相关字库的训练。同时,本文使用Matlab编程语言来高效处理数据集,并采用Python编程语言构建了一个藏文手写乌金体识别系统。实验结果表明,通过采用本系统的方法,显著提升了Tesseract_OCR对藏文手写乌金体的识别准确度以及字库的质量。这项研究不仅对于藏文手写体识别技术的发展具有重要意义,还为保护和传承乌金体文化遗产提供了有力的工具。未来的研究将继续探索基于Tesseract_OCR的藏文手写体识别方法,并进一步优化系统以提高识别性能。

关键词：藏文手写体识别 Tesseract_OCR 图像预处理灰度二值化形态学处理

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原位剪切试验在工程滑坡勘察中的应用

钻探工程 2024年第1期51卷 139-146页

作者：张祥恒王振曹凡王延宁陈柏林烟台鲁东勘察测绘有限公司山东烟台264004 山东省地矿局钻探工程技术研究中心山东烟台264004 中兵勘察设计研究院有限公司北京100053 山东省第三地质矿产勘查院山东烟台264004 自然资源部地质灾害自动化监测技术创新中心(重庆地质矿产研究院) 重庆401120

岩土体的抗剪强度指标,尤其是作为薄弱层的岩体结构面的抗剪强度,在滑坡稳定分析中起着至关重要的作用。现场原位剪切试验,试样受扰动小,试验状态与岩土体所处真实状态较为吻合,得到的参数也更加真实,是滑坡勘察原位测试的重要手段之一... 详细信息

岩土体的抗剪强度指标,尤其是作为薄弱层的岩体结构面的抗剪强度,在滑坡稳定分析中起着至关重要的作用。现场原位剪切试验,试样受扰动小,试验状态与岩土体所处真实状态较为吻合,得到的参数也更加真实,是滑坡勘察原位测试的重要手段之一。适用于测定边坡的岩土结构面、岩土接触面、滑动面以及含碎石黏土的混合土层和其他粗颗粒土层的抗剪强度。重庆华宇·观澜华府项目工程滑坡勘察,在现场做原位剪切试验的同时,采集原状样品进行室内直剪试验,获取2种不同试验下的抗剪强度参数,分别取用2种参数对不同工况下的滑坡体进行稳定性分析计算,并与滑坡体的实际变形特征进行比较,从而验证了原位剪切试验确定岩土体抗剪强度参数的合理性,可为类似工程提供参考和借鉴。

关键词：滑坡勘察抗剪强度原位剪切试验变形特征稳定性分析

Identifying essential proteins based on dynamic protein-protein interaction networks and RNA-Seq datasets

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Science China(Information Sciences) 2016年第7期59卷 61-71页

作者： Xuequn SHANG Yu WANG bolin chen School of Computer Science Northwestern Polytechnical University

The identification of essential proteins is not only important for understanding organism structure on the molecular level, but also beneficial to drug-target detection and genetic disease prevention. Traditional methods often employ various centrality indices of static protein-protein interaction(PPI) networks and/or gene expression profiles to predict essential proteins. However, the prediction accuracy of most methods still has room to be further improved. In this study, we propose a strategy to increase the prediction accuracy of essential protein identification in three ways. Firstly, RNA-Seq datasets are employed to construct integrated dynamic PPI networks. Using a RNA-Seq dataset is expected to give more accurate predictions than using microarray gene expression profiles. Secondly, a novel integrated dynamic PPI network is constructed by considering both the co-expression pattern and the co-expression level of the RNA-Seq data. Thirdly, a novel two-step strategy is proposed to identify essential proteins from two known centrality indices. Numerical experiments have shown that the proposed strategy can increase the prediction accuracy dramatically, which can be generalized to many existing methods and centrality indices.

关键词： essential protein dynamic protein network RNA-Seq data gene co-expression pattern M2 measure

PEG-rhG-CSF和rhG-CSF治疗化疗后中性粒细胞减少症的荟萃分析

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中国医药科学 2024年第14期14卷 151-154,198页

作者：曹尚美陈泊霖杨少哲张欢欢邹真真付秀虹河南省漯河市中心医院科创中心漯河医学高等专科学校第一附属医院河南省生育力保护与优生重点实验室河南漯河462000

目的聚乙二醇化重组人粒细胞集落刺激因子(PEG-rhG-CSF)和重组人粒细胞集落刺激因子(rhGCSF)是临床中治疗恶性肿瘤化疗后中性粒细胞减少症(CIN)的主要药物,为全面评价二者在疗效和不良反应方面的差异,需要分析现有相关试验研究,以更好... 详细信息

目的聚乙二醇化重组人粒细胞集落刺激因子(PEG-rhG-CSF)和重组人粒细胞集落刺激因子(rhGCSF)是临床中治疗恶性肿瘤化疗后中性粒细胞减少症(CIN)的主要药物,为全面评价二者在疗效和不良反应方面的差异,需要分析现有相关试验研究,以更好地指导临床。方法对2005年6月至2023年6月发表的收录于Pub Med、Embase、Web of Science和中国生物医学文献资料库的中英文文献进行检索。结果对9项随机对照研究进行比较。结果显示,PEG-rhG-CSF和rh G-CSF干预后CIN发生率比较,差异无统计学意义[n=695,RR=0.49,95%CI(0.24,1.02),P=0.06],提示二者疗效相当。而二者在不良反应发生率上比较,差异有统计学意义[n=695,RR=0.66,95%CI(0.55,0.78),P<0.00001]。两项对比可信度方面均表现良好,无发表偏倚和异质性,Egger’s结果分别为[95%CI(-5.56,2.45),P=0.390]和[95%CI(-3.24,1.81),P=0.532]。结论PEG-rhG-CSF和rh G-CSF疗效相当,但是在不良反应发生率上PEG-rh G-CSF明显低于rh G-CSF。

关键词：聚乙二醇化重组人粒细胞集落刺激因子重组人粒细胞集落刺激因子化疗中性粒细胞减少症

Image processing operations identification via convolutional neural network

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Science China(Information Sciences) 2020年第3期63卷 275-281页

作者： bolin chen Haodong LI Weiqi LUO Jiwu HUANG Guangdong Key Laboratory of Information Security Technology School of Data and Computer Science Sun Yat-sen University College of Information Engineering Shenzhen University

Dear editor,In recent years, image forensics has attracted increasing attention, and many forensic methods have been proposed for identifying image processing operations. Until now, most existing methods have been based on hand-crafted features, and only one specific operation is considered in these methods. In many forensic scenarios, however,

关键词： image Image processing operations identification via convolutional neural network

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IGF-1基因克隆及其产物的测序鉴定

科技创新与应用 2024年第16期14卷 7-11页

作者：曹尚美邹真真陈泊霖杨少哲张清伟王单单王浩然付秀虹漯河市中心医院科创中心/漯河医学高等专科学校第一附属医院/河南省生育力保护与优生重点实验室河南漯河462000

基因过表达在基础实验和基因治疗应用中都是常用的手段,而质粒的扩增在基因过表达过程中是不可或缺的技术,如何规范、高效地对质粒进行扩增和提取是基因治疗应用的前提,也是困扰很多基础研究人员的难题。利用现有的实验技术,在降低实验... 详细信息

基因过表达在基础实验和基因治疗应用中都是常用的手段,而质粒的扩增在基因过表达过程中是不可或缺的技术,如何规范、高效地对质粒进行扩增和提取是基因治疗应用的前提,也是困扰很多基础研究人员的难题。利用现有的实验技术,在降低实验成本基础上,建立过表达质粒扩增、提取的最优方案。首先采用传统方法制作LB培养基和感受态细胞,对转化后的质粒进行大量扩增培养,之后使用商业试剂盒对质粒进行提取,反复试验后对商业试剂盒质粒提取过程进行优化,提高效率,最终获得高纯度和浓度的质粒溶液。经超微量分光光度计、琼脂糖凝胶电泳检测和sanger测序等多种方式检测验证后与NCBI数据库中目标基因序列一致,提示扩增、提取成功。经优化后的质粒扩增、提取方案标准、高效,成本低廉,是质粒基因克隆的最佳选择。

关键词： IGF-1基因质粒克隆基因过表达质粒的扩增基因治疗应用

Highly efficient catalyst for 1,1,2-trichloroethane dehydrochlorination via BN_(3) frustrated Lewis acid-base pairs

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Nano Research 2024年第6期17卷 4773-4781页

作者： Yuxue Yue Fangmin Zuo bolin Wang Xiaoling Xian Jun Tang Haifeng Zhang Zilong Zhang Qingping Ke Wei chen School of Chemical Engineering Northeast Electric Power UniversityJilin 132012China Industrial Catalysis Institute of Zhejiang University of Technology Hangzhou 310014China Key Laboratory of Carbon Materials of Zhejiang Province College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325035China College of Chemistry and Chemical Engineering Anhui University of TechnologyMaanshan 243002China

In this study,a novel non-metallic carbon-based catalyst co-doped with boron and nitrogen(B,N)was successfully *** precisely controlling the carbonization temperature of a binary mixed ionic liquid,we selectively modified the doping site structure,ultimately constructing a B,N co-doped frustrated Lewis acid-base pair *** catalyst exhibited remarkable catalytic activity,selectivity,and stability in the dehydrochlorination reaction of 1,1,2-trichloroethane(TCE).Detailed characterization and theoretical calculations revealed that the primary active center of this catalyst was the BN_(3)*** to conventional graphitic N structures,the BN_(3)structure had a higher p-band center,ensuring superior adsorption and activation capabilities for TCE during the *** the BN_(3)site,three negatively charged nitrogen atoms acted as Lewis bases,while positively charged boron atoms acted as Lewis *** synergistic interaction facilitated the specific dissociation of chlorine and hydrogen atoms from TCE,significantly enhancing the 1,1-dichloroethene *** this research,we not only explored the active site structure and catalytic mechanism of B,N co-doped catalysts in depth but also provided an efficient,selective,and stable catalyst for the dehydrochlorination of TCE,contributing significantly to the development of non-metallic catalysts.

关键词： B N co-doped sites dehydrochlorination frustrated Lewis acid-base pairs catalytic mechanism

Copy number variation related disease genes

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Frontiers of Electrical and Electronic Engineering in China 2018年第2期6卷 99-112页

作者： Chaima Aouiche Xuequn Shang bolin chen School of Computer Science Northwestern Polytechnical University Xi'an 710072 China

Background： One of the most important and challenging issues in biomedicine and genomics is how to identify disease related genes. Datasets from high-throughput biotechnologies have been widely used to overcome this issue from various perspectives, e.g., epigenomics, genomics, transcriptomics, proteomics, metabolomics. At the genomic level, copy number variations （CNVs） have been recognized as critical genetic variations, which contribute significantly to genomic diversity. They have been associated with both common and complex diseases, and thus have a large influence on a variety of Mendelian and somatic genetic disorders. Results： In this review, based on a variety of complex diseases, we give an overview about the critical role of using CNVs for identifying disease related genes, and discuss on details the different high-throughput and sequencing methods applied for CNV detection. Some limitations and challenges concerning CNV are also highlighted. Conclusions： Reliable detection of CNVs will not only allow discriminating driver mutations for various diseases, but also helps to develop personalized medicine when integrating it with other genomic features.

关键词： CNV disease gene complex disease targeted approach genome-wide approach whole exome sequencing

Disease gene identification by using graph kernels and Markov random fields

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Science China(Life Sciences) 2014年第11期57卷 1054-1063页

作者： chen bolin LI Min WANG JianXin WU FangXiang Division of Biomedical Engineering University of Saskatchewan School of Information Science and Engineering Central South University Department of Mechanical Engineering University of Saskatchewan

Genes associated with similar diseases are often functionally *** principle is largely supported by many biological data sources,such as disease phenotype similarities,protein complexes,protein-protein interactions,pathways and gene expression *** multiple types of biological data is an effective method to identify disease genes for many genetic *** capture the gene-disease associations based on biological networks,a kernel-based Markov random field(MRF)method is proposed by combining graph kernels and the MRF *** the proposed method,three kinds of kernels are employed to describe the overall relationships of vertices in five biological networks,respectively,and a novel weighted MRF method is developed to integrate those *** addition,an improved Gibbs sampling procedure and a novel parameter estimation method are proposed to generate predictions from the kernel-based MRF *** experiments are carried out by integrating known gene-disease associations,protein complexes,protein-protein interactions,pathways and gene expression *** proposed kernel-based MRF method is evaluated by the leave-one-out cross validation paradigm,achieving an AUC score of 0.771 when integrating all those biological data in our experiments,which indicates that our proposed method is very promising compared with many existing methods.

关键词：马尔可夫随机场基因鉴定遗传疾病内核图形蛋白质复合物蛋白质相互作用 Gibbs抽样