检索结果-南通市图书馆

RECOGNICER:A coarse-graining approach for identifying broad domains from ChIP-seq data

Quantitative Biology 2020年第4期8卷 359-368页

作者： chongzhi zang Yiren Wang Weiqun Peng Center for Public Health Genomics University of VirginiaCharlottesvilleVA 22908USA Department of Public Health Sciences University of VirginiaCharlottesvilleVA 22908USA Department of Physics The George Washington UniversityWashingtonDC 20052USA

Background:Histone modifications are major factors that define chromatin states and have functions in regulating gene expression in eukaryotic *** immunoprecipitation coupled with high-throughput sequencing(ChIP-seq)technique has been widely used for profiling the genome-wide distribution of chromatin-associating protein *** histone modifications,such as H3K27me3 and H3K9me3,usually mark broad domains in the genome ranging from kilobases(kb)to megabases(Mb)long,resulting in diffuse patterns in the ChIP-seq data that are challenging for signal *** most existing ChIP-seq peak-calling algorithms are based on local statistical models without account of multi-scale features,a principled method to identify scale-free board domains has been ***:Here we present RECOGNICER(Recursive coarse-graining identification for ChIP-seq enriched regions),a computational method for identifying ChIP-seq enriched domains on a large range of *** algorithm is based on a coarse-graining approach,which uses recursive block transformations to determine spatial clustering of local enriched elements across multiple length ***:We apply RECOGNICER to call H3K27me3 domains from ChIP-seq data,and validate the results based on H3K27me3's association with repressive gene *** show that RECOGNICER outperforms existing ChIP-seq broad domain calling tools in identifying more whole domains than separated ***:RECOGNICER can be a useful bioinformatics tool for next-generation sequencing data analysis in epigenomics research.

关键词： coarse-graining ChIP-seq peak calling histone modification

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Ectopic Tcf1 expression instills a stem-like program in exhausted CD8^(+) T cells to enhance viral and tumor immunity

引用

Cellular & Molecular Immunology 2021年第5期18卷 1262-1277页

作者： Qiang Shan Sheng’en Hu Xia Chen Derek B.Danahy Vladimir P.Badovinac chongzhi zang Hai-Hui Xue Center for Discovery and Innovation Hackensack Meridian HealthNutleyNJ07110USA Department of Microbiology and Immunology Carver College of MedicineUniversity of IowaIowa CityIA52242USA Center for Public Health Genomics University of Virginia School of MedicineCharlottesvilleVA22908USA Department of Pathology Carver College of MedicineUniversity of IowaIowa CityIA52242USA Interdisciplinary Immunology Graduate Program Carver College of MedicineUniversity of IowaIowa CityIA52242USA Iowa City Veterans Affairs Health Care System Iowa CityIA52246USA

Exhausted CD8^(+)T(Tex)cells are dysfunctional due to persistent antigen exposure in chronic viral infection and tumor contexts.A stem cell-like Tex(Tex-stem)subset can self-renew and differentiate into terminally exhausted(Tex-term)***,we show that ectopic Tcf1 expression potently promoted the generation of Tex-stem cells in both a chronic viral infection and preclinical tumor ***1 overexpression diminished coinhibitory receptor expression and enhanced polycytokine-producing capacity while retaining a heightened responses to checkpoint blockade,leading to enhanced viral and tumor ***,ectopically expressed Tcf1 exploited existing and novel chromatin accessible sites as transcriptional enhancers or repressors and modulated the transcriptome by enforcing pre-existing expression patterns in Tex-stem cells,such as enhanced suppression of Blimp1 and Bim and acquisition of new downstream genes,including Mx1,Tox2,and *** findings reveal a pronounced impact of ectopic Tcf1 expression on Tex functional restoration and highlight the therapeutic potential of harnessing Tcf1-enforced transcriptional programs.

关键词： T cell exhaustion Tcf1 Stem cell features

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

核磁共振弛豫时间与溶液浓度关系的实验研究

引用

物理通报 2005年第10期26卷 30-32页

作者：臧充之张洁天彭培芝北京大学物理学院北京100871

利用小型核磁共振成像仪可以测量样品弛豫时间的功能,设计方案,实验测定了硫酸铜水溶液中氢原子核的核磁共振弛豫时间T1、T2随硫酸铜浓度的变化关系,得到T1与T2随溶质浓度的增大而减小的实验结果.在误差允许的范围内,验证了T1与溶液浓... 详细信息

利用小型核磁共振成像仪可以测量样品弛豫时间的功能,设计方案,实验测定了硫酸铜水溶液中氢原子核的核磁共振弛豫时间T1、T2随硫酸铜浓度的变化关系,得到T1与T2随溶质浓度的增大而减小的实验结果.在误差允许的范围内,验证了T1与溶液浓度成反比的规律,并进行了分析和理论解释.

关键词：核磁共振自旋-晶格弛豫自旋-自旋弛豫弛豫时间硫酸铜核磁共振成像仪实验测定溶液浓度溶质浓度理论解释

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Numerical simulation of compaction parameters for sand-filled embankment using large thickness sand-filling technique in Jianghan Plain district

引用

Frontiers of Structural and Civil Engineering 2018年第4期12卷 568-576页

作者： Wentao WANG chongzhi TU Rong LUO National Center for Materials Service Safety University of Science and Technology BeijingBeijing 100083China Sehool of Transportation Wuhan University of TechnologyWuhan 430063China

The study uses the finite element method to simulate a new technique of highway sand embankment filling in Jianghan Plain district, which can raise the thickness of sand-filled layer from 30 cm to 70 cm and can significantly shorten the construction period based on the guarantee of sand embankment construction quality. After simulating the three compacting proposals carried out on the field test, the study uses COMSOL software to research on the compacting effects of sand-filled layers in larger thicknesses by 22 ton vibratory roller alone, and then to investigate the steady compacting effect of 12 ton vibratory roller. The simulation results indicate that the sand-filled layer thickness of 70 cm is suitable for the new sand filling technique, and the sand-filled embankment project with tight construction period is suggested to choose the 12 ton vibration roller for steady compaction.

关键词： sand embankment compaction in large thickness numerical simulation small size vibratory roller steady compaction

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Overview of SARS-CoV-2 genome-encoded proteins

引用

Science China(Life Sciences) 2022年第2期65卷 280-294页

作者： chongzhi Bai Qiming Zhong George Fu Gao CAS Key Laboratory of Pathogenic Microbiology&Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China Central Laboratory Shanxi Province Hospital of Traditional Chinese MedicineTaiyuan 030012China Shanxi Academy of Advanced Research and Innovation Taiyuan 030032China

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)has spread rapidly throughout the ***-CoV-2 is an enveloped,plus-stranded RNA virus with a single-stranded RNA genome of approximately 30,000 *** SARS-CoV-2 genome encodes 29 proteins,including 16 nonstructural,4 structural and 9 accessory *** date,over 1,228 experimental structures of SARS-CoV-2 proteins have been deposited in the Protein Data Bank(PDB),including 16 protein structures,two functional domain structures of nucleocapsid(N)protein,and scores of ***,they exhibit high similarity to SARS-CoV ***,we summarize the progress of structural and functional research on SARS-CoV-2 *** studies provide structural and functional insights into proteins of SARS-CoV-2,and further elucidate the daedal relationship between different components at the atomic level in the viral life cycle,including attachment to the host cell,viral genome replication and transcription,genome packaging and assembly,and virus *** is important to understand the structural and functional properties of SARS-CoV-2 proteins as it will facilitate the development of anti-CoV drugs and vaccines to prevent and control the current SARS-CoV-2 pandemic.

关键词： SARS-CoV-2 coronavirus structural and functional characterization biological impact structure and function-based drug discovery

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

N-gram MalGAN:Evading machine learning detection via feature n-gram

引用

Digital Communications and Networks 2022年第4期8卷 485-491页

作者： Enmin Zhu Jianjie Zhang Jijie Yan Kongyang Chen chongzhi Gao School of Computer Science and Cyber Engineering Guangzhou UniversityGuangzhou510006China Institute of Artificial Intelligence and Blockchain Guangzhou UniversityGuangzhou510006China Pazhou Lab Guangzhou510330China

In recent years,many adversarial malware examples with different feature strategies,especially GAN and its variants,have been introduced to handle the security threats,e.g.,evading the detection of machine learning ***,these solutions still suffer from problems of complicated deployment or long running *** this paper,we propose an n-gram MalGAN method to solve these *** borrow the idea of n-gram from the Natural Language Processing(NLP)area to expand feature sources for adversarial malware examples in ***,the n-gram MalGAN obtains the feature vector directly from the hexadecimal bytecodes of the executable *** can be implemented easily and conveniently with a simple program language(e.g.,C++),with no need for any prior knowledge of the executable file or any professional feature extraction *** features are functionally independent and thus can be added to the non-functional area of the malicious program to maintain its original *** this way,the n-gram could make the adversarial attack easier and more *** results show that the evasion rate of the n-gram MalGAN is at least 88.58%to attack different machine learning algorithms under an appropriate group rate,growing to even 100%for the Random Forest algorithm.

关键词： Machine learning N-gram MalGAN Adversarial examples

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Joined AZ31B Magnesium Alloys with Ag Interlayer by Ultrasonic-Induced Transient Liquid Phase Bonding in Air

引用

Acta Metallurgica Sinica(English Letters) 2024年第7期37卷 1177-1185页

作者： Qian Wang Peng Yu Haoran Lin chongzhi Guo Xiaoqiang Hu Ganjiang Innovation Academy Chinese Academy of SciencesGanzhou341119China School of Rare Earths University of Science and Technology of ChinaHefei230026China Shenyang 7D New Materials Equipment Co.LTD. Shenyang110076China Shenyang National Laboratory of Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang110016China

AZ31B magnesium alloys are commonly used in lightweight structures of automobile and aerospace *** this work,the ultrasonic-induced transient liquid phase bonding technique is deployed to joint AZ31B magnesium alloys at 490℃ with Ag interlayer in the *** effect of ultrasonic vibration on microstructure and mechanical properties of welding seam is *** vibration duration increases,the width of the welding seam increases firstly and then *** the ultrasound vibration sustained for one second,the eutectic reaction occurred in the contacting interface between Ag interlayer and the base metal AZ31B,resulting in formation of liquid phase and metallurgical *** the ultrasound vibration sustained for seven second,the width of the welding seam increased to a maximum of about 303.1μm and the average shear bond strength of the welding joint attained the peak value of about 66.87 *** the ultrasound vibration sustained over seven seconds,the liquid phase is gradually squeezed out and the width of the welding seam decreases.α-Mg and AgMg_(3) can be observed in the welding *** analysis shows thatα-Mg has a certain strengthening *** whole process of appearance,growth and integration ofα-Mg is analyzed.

关键词： Ultrasonic bonding Magnesium alloy Silver Microstructure Intermetallic compound

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Privacy-preserving edge-assisted image retrieval and classification in IoT

引用

Frontiers of Computer Science 2019年第5期13卷 1136-1147页

作者： Xuan LI Jin LI Siuming YIU chongzhi GAO Jinbo XIONG College of Mathematics and Informatics Fujian Normal University Fuzhou 350117 China Department of Computer Science The University of Hong Kong Hong Kong 999077 China Fujian Provincial Key Laboratory of Network Security and Cryptology Fuzhou 350117 China School of Computational Science and Education Software Guangzhou University Guangzhou 510006 China

Internet of Things (IoT) has drawn much attention in recent years. However, the image data captured by IoT terminal devices are closely related to users, personal information, which are sensitive and should be protected. Though traditional privacy-preserving outsourced computing solutions such as homomorphic cryptographic primitives can support privacy-preserving computing, they consume a significant amount of computation and storage resources. Thus, it becomes a heavy burden on IoT terminal devices with limited resources. In order to reduce the resource consumption of terminal device, we propose an edge-assisted privacy-preserving outsourced computing framework for image processing, including image retrieval and classification. The edge nodes cooperate with the terminal device to protect data and support privacy-preserving computing on the semitrusted cloud server. Under this framework, edge-assisted privacy-preserving image retrieval and classification schemes are proposed in this paper. The security analysis and performance evaluation show that the proposed schemes greatly reduce the computational, communication and storage burden of IoT terminal device while ensuring image data security.

关键词： Internet of Things outsourced computation privacy protection cryptographic primitive image processing

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Coverless Information Hiding Based on the Molecular Structure Images of Material

引用

Computers, Materials & Continua 2018年第2期54卷 197-207页

作者： Yi Cao Zhili Zhou Xingming Sun chongzhi Gao School of Computer and Software Nanjing University of Information Science and TechnologyNing Liu RoadNO.219Nanjing210044China Jiangsu Engineering Centre of Network Monitoring Ning Liu RoadNo.219Nanjing210044China Department of Electrical and computer Engineering University of Windsor401 Sunset AvenueWindsorONCanada N9B 3P4 School of Computer Science Guangzhou UniversityWaihuanxi RoadNo.230Guangzhou510006China

The traditional information hiding methods embed the secret information by modifying the carrier,which will inevitably leave traces of modification on the *** this way,it is hard to resist the detection of steganalysis *** address this problem,the concept of coverless information hiding was *** information hiding can effectively resist steganalysis algorithm,since it uses unmodified natural stego-carriers to represent and convey confidential ***,the state-of-the-arts method has a low hidden capacity,which makes it less *** the pixel values of different regions of the molecular structure images of material(MSIM)are usually different,this paper proposes a novel coverless information hiding method based on MSIM,which utilizes the average value of sub-image’s pixels to represent the secret information,according to the mapping between pixel value intervals and secret *** addition,we employ a pseudo-random label sequence that is used to determine the position of sub-images to improve the security of the *** the histogram of the Bag of words model(BOW)is used to determine the number of subimages in the image that convey secret ***,to improve the retrieval efficiency,we built a multi-level inverted index ***,the proposed method can also be used for other natural *** with the state-of-the-arts,experimental results and analysis manifest that our method has better performance in anti-steganalysis,security and capacity.

关键词： Coverless information hiding molecular structure images of material pixel value inverted index image retrieval bag of words model

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization

引用

Geoscience Frontiers 2021年第1期12卷 469-477页

作者： Wengang Zhang chongzhi Wu Haiyi Zhong Yongqin Li Lin Wang School of Civil Engineering Chongqing UniversityChongqing 400045China

Accurate assessment of undrained shear strength(USS)for soft sensitive clays is a great concern in geotechnical engineering *** study applies novel data-driven extreme gradient boosting(XGBoost)and random forest(RF)ensemble learning methods for capturing the relationships between the USS and various basic soil *** on the soil data sets from TC304 database,a general approach is developed to predict the USS of soft clays using the two machine learning methods above,where five feature variables including the preconsolidation stress(PS),vertical effective stress(VES),liquid limit(LL),plastic limit(PL)and natural water content(W)are *** reduce the dependence on the rule of thumb and inefficient brute-force search,the Bayesian optimization method is applied to determine the appropriate model hyper-parameters of both XGBoost and *** developed models are comprehensively compared with three comparison machine learning methods and two transformation models with respect to predictive accuracy and robustness under 5-fold cross-validation(CV).It is shown that XGBoost-based and RF-based methods outperform these ***,the XGBoostbased model provides feature importance ranks,which makes it a promising tool in the prediction of geotechnical parameters and enhances the interpretability of model.

关键词： Undrained shear strength Extreme gradient boosting Random forest Bayesian optimization k-fold CV

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：