检索结果-内蒙古大学图书馆

The effects of perfluoroalkyl substance pollution on microbial community and key metabolic pathways in the Pearl River Estuary

引用

Ecotoxicology and Environmental Safety 2025年 298卷 118293页

作者： Lin, Wei Zhao, Junlin Wu, Xingqi Jiang, Jiakun Zhou, Chunyang Zheng, Jiating Zhang, Cheng Guo, Ying Wang, Li Ng, How Yong Li, Song Wang, Shengrui Guangdong-Hong Kong Joint Laboratory for Water Security Center for Water Research Advanced Institute of Natural Sciences Beijing Normal University Zhuhai 519087 China Center for Statistics and Data Science Beijing Normal University Zhuhai 519087 China Key Laboratory of Poyang Lake Environment and Resource Utilization Ministry of Education School of Resource and Environment Nanchang University Nanchang 330031 China School of Chemical Engineering and Technology Sun Yat-sen University Zhuhai 519082 China Instrumentation and Service Center for Science and Technology Beijing Normal University Zhuhai 519087 China Scientific Institute of Pearl River Water Resources Protection Guangzhou 510610 China Technical Centre for Ecology and Environment of Soil Agriculture and Rural Areas Ministry of Ecology and Environment Beijing 100012 China College of Resources and Environment Yunnan Agricultural University Kunming 650201 China

The extensive use of perfluoroalkyl substances (PFASs) has raised significant concerns regarding their adverse environmental implications. However, the understanding of their behaviors and biological effects in natural estuarine ecosystems remain limited. This study employed a multidisciplinary approach integrating chemical analysis, biological sequencing, and statistical modeling to comprehensively investigate the distribution of PFASs, as well as their intrinsic relationship with microbial community in the Pearl River Estuary (PRE), a rapidly urbanized area. Our findings demonstrate that the total PFAS concentrations ranged from 52–127 ng L⁻¹ in water, and 2–70 μg kg⁻¹ dry weight in sediment, with notably distinct compositions across habitats. Aquatic microbial communities exhibited higher sensitivity to environmental variables, including PFAS concentrations, attributed to increased stochasticity and reduced spatial turnover. Conversely, sediments harbored microbial communities with higher phylogenetic diversity, rendering them less susceptible to PFAS-induced stress. Furthermore, PFAS concentrations significantly affected microbial carbon, nitrogen, and phosphorus cycling, predominantly through indirect alterations in characteristic genus composition. Importantly, noteworthy variations in impacts were observed between perfluorinated carboxylic acids (PFCAs) and perfluorinated sulfonic acids (PFSAs), which might contingent upon C–F bond dissociation energies. The findings shed light on PFAS ecological roles and interaction patterns with microbial communities in human-impacted estuarine environments. © 2025 The Authors

关键词： Estuarine ecosystems key metabolic pathways Microbial community Perfluoroalkyl substance (PFAS) PLS-PM

来源：评论

学校读者我要写书评

暂无评论

Novel way to research nonlinear feedback shift register

引用

Science China(Information Sciences) 2014年第9期57卷 161-174页

作者： ZHAO DaWei PENG HaiPeng LI LiXiang HUI SiLi YANG YiXian Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications Zhejiang Provincial Key Lab of Data Storage and Transmission Technology Hangzhou Dianzi University National Engineering Laboratory for Disaster Backup and Recovery Beijing University of Posts and Telecommunications Shandong Provincial Key Laboratory of Computer Network Shandong Computer Science Center

In this paper,we regard the nonlinear feedback shift register(NLFSR)as a special Boolean network,and use semi-tensor product of matrices and matrix expression of logic to convert the dynamic equations of NLFSR into an equivalent algebraic *** on them,we propose some novel and generalized techniques to study ***,a general method is presented to solve an open problem of how to obtain the properties(the number of fixed points and the cycles with different lengths)of the state sequences produced by a given NLFSR,i.e.,the analysis of a given *** then show how to construct all 22n-(l-n)/22n-lshortest n-stage feedback shift registers(nFSR)and at least 22n-(l-n)-1/22n-l-1shortest n-stage nonlinear feedback shift registers(nNLFSR)which can output a given nonperiodic/periodic sequence with length ***,we propose two novel cycles joining algorithms for the construction of full-length ***,two algorithms are presented to construct 22n-2-1different full-length nNLFSRs,respectively.

关键词： nonlinear feedback shift register semi-tensor product Boolean network full-length nNLFSR binary sequence

来源：评论

学校读者我要写书评

暂无评论

Learning EEG synchronization patterns for epileptic seizure prediction using bag-of-wave features

引用

Journal of Ambient Intelligence and Humanized Computing 2023年第11期14卷 15557-15572页

作者： Cui, Song Duan, Lijuan Qiao, Yuanhua Xiao, Ying Faculty of Information Technology Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Trusted Computing National Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing100124 China College of Applied Sciences Beijing University of Technology Beijing100124 China

Epileptic seizure prediction has the potential to promote epilepsy care and treatment. However, the seizure prediction accuracy does not satisfy the application requirements. In this paper, a novel framework for seizure prediction is proposed by learning synchronization patterns. For better representation, bag-of-wave (BoWav) feature extraction is proposed for modeling synchronization pattern of electroencephalogram (EEG) signal. An interictal codebook and preictal codebook, representing the local segments, are constructed by a clustering algorithm. Within a period of EEG signal on all electrodes, local segments are projected onto the learned codebooks. The proposed feature expresses the synchronization pattern of EEG signal with the histogram feature. Moreover, extreme learning machine (ELM) is used to classify the sequence of features. Experiments are performed on the Kaggle seizure prediction challenge dataset and the CHB-MIT dataset. The experiment on the CHB-MIT achieves a sensitivity of 88.24% and a false prediction rate per hour of 0.25. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Analysis and study on detection of credict fraud in E-commerce

Analysis and study on detection of credict fraud in E-commer...

引用

International Conference on Future Computer Science and Education

作者： Deng, Kaiyong Zhang, Ru Zhang, Dongfang Jiang, Wen Feng Niu, Xinxin Guo, Hong Key Laboratory of Network and Information Attack and Defence Technology of MOE Beijing University of Posts and Telecommunications Beijing China Key Lab. of Information Network Security of Ministry of Public Security Shanghai China

ISBN: (纸本)9780769544229

An algorithm of applying Bedford's law to detect credit fraud in e-commerce is proposed in the paper and the feasibility is studied. The weakness of the algorithm for detecting financial fraud via Benford correlation coefficients is analyzed and a new detection method for e-commerce fraud defined as credit algorithm based on Bedford' s law is established, providing better performance of reliability and precision. © 2011 IEEE.

关键词： Electronic commerce

来源：评论

学校读者我要写书评

暂无评论

QoS-oriented packet scheduling scheme for opportunistic networks

引用

The Journal of China Universities of Posts and Telecommunications 2017年第3期24卷 51-57页

作者： Yao Wenbin Chen Yin Zong Ming Wang Dongbin Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications School of Computer Science Beijing University of Posts and Telecommunications Yingcai Honors College University of Electronic Science and Technology of China National Engineering Laboratory for Mobile Network Security Beijing University of Posts and Telecommunications

The unique characteristics of opportunistic networks （ONs）, such as intermittent connectivity and limited network resources, makes it difficult to support quality of service （QoS） provisioning, particularly to guarantee delivery ratio and delivery delay. In this paper, we propose a QoS-oriented packet scheduling scheme （QPSS） to make decisions for bundle transmissions to satisfy the needs for the delivery ratio and delivery delay constraints of bundles. Different from prior works, a novel bundle classification method based on the reliability and latency requirements is utilized to decide the traffic class of bundles. A scheduling algorithm of traffic class and bundle redundancy is used to maintain a forwarding and dropping priority queue and allocate network resources in QPSS. Simulation results indicate that our scheme not only achieves a higher overall delivery ratio but also obtains an approximate 14% increase in terms of the amount of eligible bundles.

关键词： opportunistic networks packet scheduling QoS traffic class of bundles

来源：评论

学校读者我要写书评

暂无评论

SHFuzz:A Hybrid Fuzzing Method Assisted by Static Analysis for Binary Programs

引用

China Communications 2021年第8期18卷 1-16页

作者： Wenjie Wang Donghai Tian Rui Ma Hang Wei Qianjin Ying Xiaoqi Jia Lei Zuo School of Computer Science and Technology Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Network Assessment Technology Institute of Information EngineeringChinese Academy of SciencesBeijing 100049China School of Cyber Security University of Chinese Academy of SciencesBeijing 100049China NSFOCUS Inc. Beijing 100089China

Fuzzing is an effective technique to find security bugs in programs by quickly exploring the input space of *** further discover vulnerabilities hidden in deep execution paths,the hybrid fuzzing combines fuzzing and concolic execution for going through complex branch *** general,we observe that the execution path which comes across more and complex basic blocks may have a higher chance of containing a security *** on this observation,we propose a hybrid fuzzing method assisted by static analysis for binary *** basic idea of our method is to prioritize seed inputs according to the complexity of their associated execution *** this purpose,we utilize static analysis to evaluate the complexity of each basic block and employ the hardware trace mechanism to dynamically extract the execution path for calculating the seed inputs’*** key advantage of our method is that our system can test binary programs efficiently by using the hardware trace and hybrid *** evaluate the effectiveness of our method,we design and implement a prototype system,namely *** evaluation results show SHFuzz discovers more unique crashes on several real-world applications and the LAVA-M dataset when compared to the previous solutions.

关键词： hybrid fuzzing static analysis concolic execution binary programs

来源：评论

学校读者我要写书评

暂无评论

An approach to the formal verification of the three-principal cryptographic protocols

An approach to the formal verification of the three-principa...

引用

作者： Zhang, Yuqing Liu, Xiuying State Key Laboratory of Information Security GSCAS Beijing 100039 China National Computer Network Intrusion Protection Center GSCAS Beijing 100039 China

Based on the model checking theory, we derive the Running-Mode Analysis of three-principal cryptographic protocols from the Running-Mode Analysis of two-principal cryptographic protocols. To test this method, we analyze the Davis Swick protocol and successfully prove the security of this protocol. Therefore, we can draw a conclusion that Running-Mode Analysis of three-principal cryptographic protocol is available.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Multi-dimensional Intelligent network Asset Identification 6

Multi-dimensional Intelligent Network Asset Identification

引用

6th IEEE International Conference on Data Science in Cyberspace, DSC 2021

作者： Xiong, Yi Zhang, Xiaoyan Pang, Ling Lin, Zhechao Topsec Network Technology Inc. Beijing China National Key Laboratory Of Science And Technology On Information System Security Beijing China

ISBN: (纸本)9781665418157

In the field of cyberspace detection and identification, how to improve the accuracy of asset identification is always a great challenge for people. This paper proposes a multi-input fusion model based on TextRCNN, which uses multi-dimensional features to identify asset types, so as to improve the accuracy of the identification. Firstly, we analyze many kinds of assets and select the protocols with symbolic characteristics. The data set is obtained based on the detection results of the selected protocols. Then, the deep learning multi-input fusion model is constructed for training. Finally, on the basis of active detection and identification technology, this model is used to improve the accuracy and credibility of asset type identification. The characteristics of this method are as follows: the fusion network can process multi-protocol input data at the same time, so as to build a multi-dimensional identification model;the identification of key attributes of assets is based on multi-dimensional characteristics, and no longer depends on the identification result of a single port. The experimental results show that the accuracy of the multi-dimensional intelligent recognition method can reach 89.48%, which can effectively identify the asset types. © 2021 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Minimum length key in MST cryptosystems

引用

Science China(Information Sciences) 2017年第5期60卷 142-152页

作者： Haibo HONG Licheng WANG Haseeb AHMAD Yixian YANG Zhiguo QU School of Computer Science and Information Engineering Zhejiang Gongshang University Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology

As a special factorization category of finite groups, logarithmic signature(LS) is used as the main component of cryptographic keys that operate within secret key cryptosystems such as PGM and public key cryptosystems like M ST1, M ST2 and M ST3. An LS with the shortest length is called a minimal logarithmic signature(MLS) that constitutes of the smallest sized blocks and offers the lowest complexity, and is therefore desirable for cryptographic constructions. However, the existence of MLSs for finite groups should be firstly taken into an account. The MLS conjecture states that every finite simple group has an MLS. If it holds, then by the consequence of Jordan-H¨older Theorem, every finite group would have an MLS. In fact, many cryptographers and mathematicians are keen for solving this problem. Some effective work has already been done in search of MLSs for finite groups. Recently, we have made some progress towards searching a minimal length key for MST cryptosystems and presented a theoretical proof of MLS conjecture.

关键词： MLS conjecture finite groups (minimal) logarithmic signature minimum length key MST cryp tosystems

来源：评论

学校读者我要写书评

暂无评论

Unveiling the corrosion evolution and pitting mechanism of X70 pipeline steel in typical near-neutral/bentonite soil environment

引用

Journal of Materials Science & technology 2025年

作者： Guangming Yang Lulu Zeng Hua Shen Huaiyun Cui Tianqi Chen Zengyao Chen Chengwei Xu Chao Liu Feng Huang Zhiyong Liu Zhichao Che Cuiwei Du Xiaogang Li Key Laboratory for Corrosion and Protection (MOE) Institute of Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 China National Materials Corrosion and Protection Scientific Data Center University of Science and Technology Beijing Beijing 100083 China Jilin Oilfield Company China National Petroleum Corporation Songyuan 138000 China Corrosion and control Research Center Branch of Science and Technology Research Institute of National Oil and Gas Pipeline Network Group Co Tianjin 300457 China The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and Technology Wuhan 430081 China School of Metallurgical and Ecological Engineering University of Science and Technology Beijing Beijing 100083 China

This work investigated the effect of dissolved oxygen (DO) on the corrosion behavior and pitting mechanism of X70 pipeline steel in near-neutral soil-bentonite simulated environment. The localized corrosion evolution to uniform corrosion was quantitatively analyzed using statistical methods. In situ characterization reveals that the localized corrosion mechanism is induced by core-shell inclusions. The microcracks occur between MnS and core oxides, the galvanic effect exists between MnS and matrix, and the high distortion region of the matrix promotes the localized corrosion initiation, while the galvanic effect between ferrite and pearlite aids propagation. Interestingly, the pitting growth rates are higher at low DO concentrations. Furthermore, the lower DO and longer immersion time enhance rust layer protection and reduce the corrosion rate of X70 pipeline steel.

关键词：

来源：评论

学校读者我要写书评

暂无评论

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

请选择保存的检索档案：

请选择收藏分类：

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

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

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：