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Deciphering fungal metabolon coupling tandem inverse-electrondemand Diels-Alder reaction and semipinacol rearrangement for the biosynthesis of spiro polycyclic alkaloids

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Science China Chemistry 2025年第01期 288-296页

作者： Shuai Liu Wen-Qiang Xu Ying-Tong Di Man-Cheng Tang Ding-Kang Chen ming-ming Cao Yao-Wen Chang Hong-Yu Tang Chun-Mao Yuan Jun-Bo Yang Zhi-Li Zuo Han guo Zi-Fei Xu Ying Zeng Yun-Dong Wu Xiao-Jiang Hao Key Laboratory of Phytochemistry and Natural Medicines (Chinese Academy of Sciences) Kunming Institute of Botany Chinese Academy of Sciences University of Chinese Academy of Sciences Lab of Computational Chemistry and Drug Design State Key Laboratory of Chemical Oncogenomics Peking University Shenzhen Graduate School Shenzhen Bay Laboratory State Key Laboratory of Microbial Metabolism School of Life Sciences & Biotechnology Shanghai Jiao Tong University State Key Laboratory of Functions and Applications of Medicinal Plants Guizhou Medical University Molecular Biology Experimental Center Germplasm Bank of Wild Species in Southwest China Kunming Institute of Botany Chinese Academy of Sciences Yunnan Key Laboratory for Wild Plant Resources Kunming Institute of Botany Chinese Academy of Sciences Research Unit of Chemical Biology of Natural Anti-Virus Products Chinese Academy of Medical Sciences

In the intricate process of natural product biosynthesis, a metabolon can enhance metabolic flux by associating sequential enzymes. A fungal metabolon, comprising of flavin-dependent monooxygenase Spe F and P450 monooxygenase Spe G, is identified in the biosynthesis of spiro polycyclic alkaloids(+)-notoamide B and its diastereomer(+)-versicolamide B. Using notoamide E as a substance, Spe F/Spe G metabolon can control the stereoselectivity of its 2,3-epoxidation, followed by hydrogen atom ion at C-17 to generate reactive epoxide tau-m A with dienyl iminium unit. Subsequently,(+)-notoamide B and(+)-versicolamide B are produced via tandem nonenzymatic inverse-electron-demand Diels-Alder reaction and semipinacol rearrangement. This provides the first example of metabolon in the biosynthesis of spiro-prenylated indole alkaloids.

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DAO媒介:驱动未来社会算法化与自组织的元媒介

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新疆师范大学学报（哲学社会科学版） 2025年第1期46卷 132-141页

作者：喻国明苏健威北京师范大学新闻传播学院北京师范大学传播创新与未来媒体实验平台北京100875

DAO媒介是以区块链算法等技术为基础,支持数字社群协同自治的媒介,具有区块链、智能合约与投票等功能特性和要素确权、技术信任、规则构架以及场景聚合等价值禀赋。对于数字生态显露的各种问题,“算法化”是重构数字生态、降解社会系统... 详细信息

DAO媒介是以区块链算法等技术为基础,支持数字社群协同自治的媒介,具有区块链、智能合约与投票等功能特性和要素确权、技术信任、规则构架以及场景聚合等价值禀赋。对于数字生态显露的各种问题,“算法化”是重构数字生态、降解社会系统复杂性的关键机制,DAO媒介是支撑“自组织式”算法化的元媒介。DAO媒介与数字文明时代喷发的微粒个体、微资源、微价值、微需求、微场景等相匹配,能够深度匹配人的个性与自我,形成有效的趣缘连接,进而极大地释放数字文明的生产力。DAO媒介将深刻影响社会系统的构造,将微粒个体与相关社会要素“包裹”为闭环子系统,支持其准开放的系统边界、有效的异质性整合、可持续的规则重构、子系统与父级系统的持续分化和快速进化,等等。在数字文明时代,DAO媒介将使“重新部落化”的“地球村”变为现实,其驱动构筑的DAO社会将更加多元、更加富有创造力,不断拓展人类群体实践的自由度,使人类在高度异质性聚合基础上更加和谐有序地整合协同。

关键词： DAO 数字媒介算法自组织社会系统

A brief review on one-dimensional topological insulators and superconductors

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Science China(Physics,Mechanics & Astronomy) 2016年第3期59卷 39-47页

作者： Huai-ming guo Department of Physics Beihang University

Recently one-dimensional topological phases are gaining increasing attentions. Like two- and three-dimensional ones, Onedimensional systems are important in a complete understanding of the topological properties. One-dimensional topological phases have been realized using current experimental setups. Specially the signatures of Majorana fermions have been observed in onedimensional topological superconductors engineered with Rashiba nanowires. From the many studies, the paper reviews typical theoretical models of one-dimensional topological insulators and superconductors. For one-dimensional topological insulators, we introduce the Su-Schrieffer-Heeger, superlattices and Creutz models, while for topological superconductors the Kitaev model and Rashiba nanowire are introduced. These models not only provide an overview of one-dimensional topological phases, but also are the starting points for further studies.

关键词： one dimension topological insulators topological superconductors

A Deep Learning Method for Computing Eigenvalues of the Fractional Schrödinger Operator

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Journal of Systems Science & Complexity 2024年第2期37卷 391-412页

作者： guo Yixiao ming Pingbing LSEC Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

The authors present a novel deep learning method for computing eigenvalues of the fractional Schrödinger *** proposed approach combines a newly developed loss function with an innovative neural network architecture that incorporates prior knowledge of the *** improvements enable the proposed method to handle both high-dimensional problems and problems posed on irregular bounded *** authors successfully compute up to the first 30 eigenvalues for various fractional Schrödinger *** an application,the authors share a conjecture to the fractional order isospectral problem that has not yet been studied.

关键词： Eigenvalue problem deep learning fractional Schrödinger operator isospectral problem

Direct trajectory optimization based on a mapped Chebyshev pseudospectral method

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Chinese Journal of Aeronautics 2013年第2期26卷 401-412页

作者： guo Xiao Zhu ming School of Aeronautic Science and Engineering Beihang University

In view of generating optimal trajectories of Bolza problems, standard Chebyshev pseudospectral （PS） method makes the points＇ accumulation near the extremities and rarefaction of nodes close to the center of interval, which causes an ill-condition of differentiation matrix and an oscillation of the optimal solution. For improvement upon the difficulties, a mapped Chebyshev pseudospectral method is proposed. A conformal map is applied to Chebyshev points to move the points closer to equidistant nodes. Condition number and spectral radius of differentiation matrices from both methods are presented to show the improvement. Furthermore, the modification keeps the Chebyshev pseudospectral method＇s advantage, the spectral convergence rate. Based on three numerical examples, a comparison of the execution time, convergence and accuracy is presented among the standard Chebyshev pseudospectral method, other collocation methods and the proposed one. In one example, the error of results from mapped Chebyshev pseudospectral method is reduced to 5% of that from standard Chebyshev pseudospectral method.

关键词： Chebyshev approximation Conformal shift Interpolation Optimization Pseudospectral method Trajectory

Sharp Upper and Lower Bounds for the Laplacian Spectral Radius and the Spectral Radius of Graphs

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Acta Mathematicae Applicatae Sinica 2008年第2期24卷 289-296页

作者： Ji-ming guo Department of Applied Mathematics China University of Petroleum Dongying 257061 China

In this paper, sharp upper bounds for the Laplacian spectral radius and the spectral radius of graphs are given, respectively. We show that some known bounds can be obtained from our bounds. For a bipartite graph G, w... 详细信息

关键词： Graph Laplacian spectral radius spectral radius upper (lower) bound bipartite graph eigen-vector

Type Ⅰ interferon receptor knockout mice as models for infection of highly pathogenic viruses with outbreak potential

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Zoological Research 2018年第1期39卷 3-14页

作者： gary Wong Xiang-guo Qiu Shenzhen Key Laboratory of Pathogen and Immunity State Key Discipline of Infectious DiseaseShenzhen Third People's HospitalShenzhen Guangzhou 518020China Key Laboratory of Pathogenic Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China Special Pathogens Program National Microbiology LaboratoryPublic Health Agency of CanadaWinnipegManitoba R3E 3R2Canada Department of Medical Microbiology and Infectious Diseases University of ManitobaWinnipegManitoba R3E 0J9Canada

Due to their inability to generate a complete immune response, mice knockout for type I interferon （IFN） receptors （Ifnar-/-） are more susceptible to viral infections, and are thus commonly used for pathogenesis studies. This mouse model has been used to study many diseases caused by highly pathogenic viruses from many families, including the Flaviviridae, Filoviridae, Arenaviridae, Bunyaviridae, Henipaviridae, and Togaviridae. In this review, we summarize the findings from these animal studies, and discuss the pros and cons of using this model versus other known methods for studying pathogenesis in animals.

关键词： Ifnar Mice Animal model Flavivirus Filovirus Arenavirus Bunyavirus Henipavirus Togavirus

MapReduce Based Parallel Bayesian Network for Manufacturing Quality Control

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Chinese Journal of Mechanical Engineering 2017年第5期30卷 1216-1226页

作者： Mao-Kuan Zheng Xin-guo ming Xian-Yu Zhang guo-ming Li School of Mechanical Engineering Shanghai Jiao Tong University

Increasing complexity of industrial products and manufacturing processes have challenged conventional statistics based quality management approaches in the cir- cumstances of dynamic production. A Bayesian network and big data analytics integrated approach for manufacturing process quality analysis and control is proposed. Based on Hadoop distributed architecture and MapReduce parallel computing model, big volume and variety quality related data generated during the manufacturing process could be dealt with. Artificial intelligent algorithms, including Bayesian network learning, classification and reasoning, are embedded into the Reduce process. Relying on the ability of the Bayesian network in dealing with dynamic and uncertain problem and the parallel computing power of MapReduce, Bayesian net- work of impact factors on quality are built based on prior probability distribution and modified with posterior probability distribution. A case study on hull segment manufacturing precision management for ship and offshore platform building shows that computing speed accelerates almost directly pro- portionally to the increase of computing nodes. It is also proved that the proposed model is feasible for locating and reasoning of root causes, forecasting of manufacturing outcome, and intelligent decision for precision problem solving. The inte- gration ofbigdata analytics and BN method offers a whole new perspective in manufacturing quality control.

关键词： Bayesian network Big data analytics MapReduce Quality control

HUITWU： An Efficient Algorithm for High-Utility Itemset Mining in Transaction Databases

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Journal of Computer Science & Technology 2016年第4期31卷 776-786页

作者： Shi-ming guo Hong Gao School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China

Mining high-utility itemsets （HUIs） from a transaction database refers to the discovery of itemsets with high utilities like profits. Most of existing studies discover HUIs from a transaction database in two phases. In phase 1, different overestimation methods are applied to calculate the upper bounds of the utilities of itemsets. Since the overestimated utilities of itemsets are adopted, the itemsets whose overestimated utilities are no less than a user-specified threshold are selected as candidate HUIs, and they are verified by scanning the database one more time in phase 2. However, a large number of candidate HUIs incur two problems： 1） it requires excessive memory to store these candidates; 2） it needs a large amount of running time to calculate their exact utilities. Vertical data format has been applied to mine HUIs recently. However this kind of method cannot deal with transactions with the same items effectively so that the size of database cannot be reduced sufficiently. The overall performance of algorithms is degraded consequently. Thus an algorithm HUITWU is proposed in this paper for mining HUIs. A novel data structure HUITwu-Tree is adopted to efficiently calculate the utilities of itemsets in a database. Extensive studies with both sparse and dense datasets have demonstrated that our proposed algorithm is more than an order of magnitude faster and consumes less memory than the state-of-the-art algorithms.

关键词： data mining high-utility itemset pattern growth