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Free Completely J^(e)-simple Semigroups

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Acta Mathematica Sinica,English Series 2015年第7期31卷 1086-1096页

作者： Jun ying guo Xiao Jiang guo Juan ying DING Department of Mathematics Jiangxi Normal University

A semigroup is called completely J（e）-simple if it is isomorphic to some Rees matrix semi- group over a left cancellative monoid and each entry of whose sandwich matrix is in the group of units of the left cancellative monoid. It is proved that completely J（e）-simple semigroups form a quasivarity. Moreover, the construction of free completely J（e）simple semigroups is given. It is found that a free completely J（e）-simple semigroup is just a free completely J＊-simple semigroup and also a full subsemigroup of some completely simple semigroups.

关键词： Strongly rpp semigroup free semigroup completely J(e)-simple semigroup quasivariety

DBST:a lightweight block cipher based on dynamic S-box

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Frontiers of Computer Science 2023年第3期17卷 177-185页

作者： Liuyan YAN Lang LI ying guo College of Computer Science and Technology Hengyang Normal UniversityHengyang 421002China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang Normal UniversityHengyang 421002China

IoT devices have been widely used with the advent of *** devices contain a large amount of private data during *** is primely important for ensuring their ***,we proposed a lightweight block cipher based on dynamic S-box named *** is introduced for devices with limited hardware resources and high throughput *** is a 128-bit block cipher supporting 64-bit key,which is based on a new generalized Feistel variant *** retains the consistency and significantly boosts the diffusion of the traditional Feistel *** SubColumns of round function is implemented by combining bit-slice technology with *** S-box is dynamically associated with the *** has been demonstrated that DBST has a good avalanche effect,low hardware area,and high *** S-box has been proven to have fewer differential features than RECTANGLE *** security analysis of DBST reveals that it can against impossible differential attack,differential attack,linear attack,and other types of attacks.

关键词： internet of things 5G dynamic S-box bit-slice technology lightweight block cipher

The 1/N_c Expansion in Hadron Effective Field Theory

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Communications in Theoretical Physics 2018年第12期69卷 683-688页

作者： guo-ying Chen Department of Physics and Astronomy Hubei University of Education

We study the Nc scalings of pion-nucleon and nucleon-nucleon scatterings in hadron effective field *** assuming Witten's counting rules are applied to matrix elements or scattering amplitudes, which use the relativistic normalization for the nucleons, we find that the nucleon axial coupling gAis of order N_c^0, and a consistent large Nc counting can be established for the pion-nucleon and nucleon-nucleon scatterings. We also justify the nonperturbative treatment of the low energy nucleon-nucleon interaction with the large N_c analysis and find that the deuteron binding energy is of order 1/N_c.

关键词： large Nc QCD effective field theory nucleon-nucleon interaction

Sialic acid accelerates the electrophoretic velocity of injured dorsal root ganglion neurons

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Neural Regeneration Research 2015年第6期10卷 972-975页

作者： Chen-xu Li guo-ying Ma Min-fang guo ying Liu Institute of Brain Sciences Department of Physiology Medical CollegeShanxi Datong University

Peripheral nerve injury has been shown to result in ectopic spontaneous discharges on soma and injured sites of sensory neurons, thereby inducing neuropathic pain. With the increase of membrane proteins on soma and injured site neurons, the negatively charged sialic acids bind to the external domains of membrane proteins, resulting in an increase of this charge. We therefore speculate that the electrophoretic velocity of injured neurons may be faster than non-injured neurons. The present study established rat models of neuropathic pain via chronic constriction injury. Results of the cell electrophoresis test revealed that the electrophoretic velocity of injured neuronal cells was faster than that of non-injured （control） cells. We then treated cells with divalent cations of Ca2＋ and organic compounds with positive charges, polylysine to counteract the negatively charged sialic acids, or neuraminidase to specifically remove sialic acids from the membrane surface of injured neurons. All three treatments significantly reduced the electrophoretic velocity of injured neuronal cells. These findings suggest that enhanced sialic acids on injured neurons may accelerate the electrophoretic velocity of injured neurons.

关键词： This study was supported by the Natural Science Foundation of Shanxi Province in China No. 2012011042-3.

Max-Flow Problem in Undirected Planar Networks with Node Capacities Being in NC

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Journal of Computer Science & Technology 2004年第6期19卷 787-790页

作者： Xian-ChaoZhang ying-YuWan guo-LiangChen NationalHighPerformanceComputingCenteratHefei DepartmentofComputerScienceandTechnologyUniversityofScienceandTechnologyofChinaHefei230027P.R.China

The max-flow problem in planar networks with only edge capacities has been proved to be in NC (Nickle's Class). This paper considers a more general version of the problem when the nodes as well as the edges have capacities. In a general network, the node-edge-capacity problem can be easily reduced to the edge-capacity problem. But in the case of planar network this reduction may destroy the planarity, and reduces the problem to the edge-capacity problem in a general network, which is P-complete. A recent contribution presents a new reduction for planar networks, that maintains the planarity. In this paper, it is proved that this reduction is in NC and thus the node-edge-capacity problem in undirected planar networks is in NC. Keywords parallel algorithm - NC (Nickle's Class) algorithm, max-flow Supported by the National Basic Research 973 Program of China under Grant No.G1999032700.

关键词： parallel algorithm NC (Nickle's Class) algorithm, max-flow

Identification of the dietary supplement capsaicin as an inhibitor of Lassa virus entry

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Acta Pharmaceutica Sinica B 2020年第5期10卷 789-798页

作者： Ke Tang Xiaoyu Zhang ying guo State Key Laboratory of Bioactive Substance and Function of Natural Medicines Institute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050China Department of Pharmacology Institute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050China

The limited treatment options for the increasing occurrence of Lassa hemorrhagic fever in West Africa poses an urgent need for the discovery and development of novel *** supplements,especially natural products that are edible and safe for human use,are a good source of drug discovery with potential for uncovering novel applications,In this study,we tested 40 natural products of dietary supplements and identified capsaicin,a common dietary supplement abundant in chili peppers,as an inhibitor of Lassa virus(LASV)entry with EC5,of 6.9-10.0μmol/L using an HIV based pseudo virus *** inhibits the entry of five LASV strains but not against the Old World arenavirus lymphocytic choriomeningitis virus(LCMV),showing a preferential activity against *** inhibits LASV entry by blocking the pH dependent viral fusion through affecting the stable signal peptide(SSP)-GP2 transmembrane(GP2TM)region of the LASV surface *** study revealed the key residues Ala25,Val431,Phe434 and Val435 in SsP-CP2TM region in capsaicin’s antiviral *** study for the first time reveals a direct acting antiviral effect of capsaicin against the hemorrhagic fever causing LASV,providing detailed interaction hot spots in the unique SSP-GP2TMinterface of LASV glycoprotein that is crucial in fusion inhibition,and offering a new strategy in discovering and developing antivirals from natural products that are safe for human use.

关键词： Lassa virus Fusion inhibitor Capsaicin Dietary supplement Natural product antivirals Viral entry Hemorrhagic fever SSP-GP2TM region

Diagnostic Classification of Lung Cancer Using Deep Transfer Learning Technology and Multi-Omics Data

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Chinese Journal of Electronics 2021年第5期30卷 843-852页

作者： ZHU Rong DAI Lingyun LIU Jinxing guo ying School of Computer Science Qufu Normal University School of Automation Central South University

In recent years, with the increasing application of highthroughput sequencing technology,researchers have obtained and accumulated a large amount of multi-omics data, making it possible to diagnose cancer at the gene expression level. The proliferation of various omics data can provide a large amount of biological information, which brings new opportunities and great challenges as well to cancer classification and *** learning algorithms for early diagnosis of lung cancer have emerged that distinguish cancers of the early and late stages by using genomic features. Omics data are generally characterized with low sample size,high dimensionality and high noise. Therefore, simple direct application of common classification methods cannot achieve better performance and must be improved in a targeted manner. This paper puts forward a combined convolutional neural network and convolutional autoencoders approach to construct a deep migratory learning classification model for early lung cancer diagnosis. First,the convolutional auto-encoders algorithm is used to reduce the dimensionality of the dataset in order to make it better meet the requirements of migration ***, a neural network model is constructed with the original dataset and the existing labeled dataset, and the model migration rules are set as well. Finally, a small number of labeled target datasets are used in the training to complete the construction of the classification *** proposed convolutional neural network method based on model migration and five other popular machine learning models are used to classify and predict the three lung cancer gene datasets and the integrated *** experimental results show that such four evaluation metrics as accuracy, precision, recall, and f1-score with our proposed method have obtained better prediction performance, and the average area under curve result also shows our proposed method is optimal.

关键词： machine learning models early stages genetics lung image classification convolutional autoencoder approach patient diagnosis genomics cancer cancer classification labeled target datasets late stages gene expression level image coding multiomics data deep learning (artificial intelligence) diagnostic classification early diagnosis omics data lung cancer diagnosis convolutional neural network method bioinformatics combined convolutional neural network model migration rules migration learning integrated dataset deep migratory learning classification model machine learning algorithms lung cancer gene datasets high-throughput sequencing technology deep transfer learning technology diagnostic radiography

Deterministic Quantum Key Distribution Using Two Non-orthogonal Entangled States

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Communications in Theoretical Physics 2007年第3期47卷 459-463页

作者： guo ying ZENG Gui-Hua Department of Communication Engineering Central South University Changsha 410083 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai 200030 China

A deterministic quantum key distribution scheme using two non-orthogonal entangled states is proposed. In the proposed scheme, communicators share key information by exchanging one travelling photon with two random and secret polarization angles. The security of the distributed key is guaranteed by three checking phases in three-way channel and the communicators＇ secret polarization angles.

关键词： quantum key distribution quantum entanglement state

Quantum BCH Codes Based on Spectral Techniques

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Communications in Theoretical Physics 2006年第2期45卷 283-286页

作者： guo ying ZENG Gui-Hua Department of Electronic Engineering Shanghai Jiao Tong University Shanghai 200030 China

When the time variable in quantum signal processing is discrete, the Fourier transform exists on the vector space of n-tuples over the Galois field F2, which plays an important role in the investigation of quantum signals. By using Fourier transforms, the idea of quantum coding theory can be described in a setting that is much different from that seen that far. Quantum BCH codes can be defined as codes whose quantum states have certain specified consecutive spectral components equal to zero and the error-correcting ability is also described by the number of the consecutive zeros. Moreover, the decoding of quantum codes can be described spectrally with more efficiency.

关键词： Fourier transform BCH code quantum error-correction code