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Cloning expression and purification of the N-termin proteins of the RNA polymerase PB2 subunit in influenza virus

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Cloning expression and purification of the N-termin proteins...

作者： Qu zhangyi,zhao yuying,Xiao Peng,Shibing Ming,Gu Hongxi (Department of Microbiology, Harbin Medical University, Harbin 150086, China)

Influenza virus-associated RNA polymersase is composed of 3p proteins, PB2 and PA. The 3p carry the complete activity of capped RNA-primed vRNA-directed transcription. The RNA polymerase also carries capped RNA endonudease to generate capped oligonucleotide primers for transcription and 3’ to 5’ exonuclease to remove erroneously polymerized nu-

关键词： Influenza virus Gene recombination Gene expression Fusion protein purification

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新情势下长江河口南槽河床冲淤演变特征

海洋地质前沿 2024年第1期40卷 44-54页

作者：左书华赵德招谢华亮赵张益杨华交通运输部天津水运工程科学研究所天津300456 港口水工建筑技术国家工程研究中心天津300456 工程泥沙交通行业重点实验室天津300456 交通运输部长江口航道管理局上海200037

随着长江流域来沙的锐减、河口涉水工程的建设、生态环境保护力度的加大和通航环境的高效利用,长江口河势将面临着新一轮的调整。以长江口南槽河床冲淤演变为研究对象,采用河床演变分析的方法对南槽近十年来多次水下地形和航道水深数据... 详细信息

随着长江流域来沙的锐减、河口涉水工程的建设、生态环境保护力度的加大和通航环境的高效利用,长江口河势将面临着新一轮的调整。以长江口南槽河床冲淤演变为研究对象,采用河床演变分析的方法对南槽近十年来多次水下地形和航道水深数据进行了分析,并对南槽航道治理一期工程效果进行了讨论。结果表明:2010-2018年,南槽主槽整体呈冲刷态势,江亚南沙头部窜沟冲刷发展,沙尾冲刷下延;2018年至今,江亚南沙头部窜沟由冲刷环境转化为淤积环境,其他区域冲淤形势基本未变;南槽断面主槽形态总体稳定,在主槽总体冲刷背景下,“拦门沙”逐渐被削平,加上南槽航道治理一期工程的作用,南槽6 m以深河槽容积明显扩大,且保持较好的稳定性。近期南槽河势变化是流域来水来沙和河口自然、人类活动影响的综合结果,南槽航道治理一期工程对近期江亚南沙的地形变化起到了重要影响,工程有效地控制了江亚南沙河势,遏制了局部冲刷发展的趋势,有利于稳定南槽航道的北侧边界。

关键词：长江口南槽河势变化南槽航道治理一期工程江亚南沙

LiDAR-Visual SLAM with Integrated Semantic and Texture Information for Enhanced Ecological Monitoring Vehicle Localization

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Computers, Materials & Continua 2025年第1期82卷 1401-1416页

作者： Yiqing Lu Liutao zhao Qiankun zhao Foreign Environmental Cooperation Center Ministry of Ecology and Environment of PRCBeijing100035China Beijing Computing Center Co. Ltd.Beijing Academy of Science and TechnologyBeijing100083China Beijing Guyu Interactive Artificial Intelligence Application Co. Ltd.Beijing100024China

Ecological monitoring vehicles are equipped with a range of sensors and monitoring devices designed to gather data on ecological and environmental *** vehicles are crucial in various fields,including environmental science research,ecological and environmental monitoring projects,disaster response,and emergency management.A key method employed in these vehicles for achieving high-precision positioning is LiDAR(lightlaser detection and ranging)-Visual Simultaneous Localization and Mapping(SLAM).However,maintaining highprecision localization in complex scenarios,such as degraded environments or when dynamic objects are present,remains a significant *** address this issue,we integrate both semantic and texture information from LiDAR and cameras to enhance the robustness and efficiency of data ***,semantic information simplifies the modeling of scene elements,reducing the reliance on dense point clouds,which can be less ***,visual texture information complements LiDAR-Visual localization by providing additional contextual *** incorporating semantic and texture details frompaired images and point clouds,we significantly improve the quality of data association,thereby increasing the success rate of *** approach not only enhances the operational capabilities of ecological monitoring vehicles in complex environments but also contributes to improving the overall efficiency and effectiveness of ecological monitoring and environmental protection efforts.

关键词： LiDAR-Visual simultaneous localization and mapping integrated semantic texture information

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滨州港深水航道水动力数值模拟研究

港工技术 2017年第6期54卷 15-19页

作者：左军刘涛赵张益滨州港务集团有限公司山东251907 交通运输部天津水运工程科学研究所工程泥沙交通行业重点实验室天津300456

利用数值模拟方法对滨州港拟建5万t级航道工程常态水动力情况进行研究,深入分析工程实施后最大流速、最大横流等,以掌握工程实施对周围海域的影响,也为其它相关研究提供支持。研究结果表明:方案的实施未改变大范围海域潮流运动规律,变... 详细信息

利用数值模拟方法对滨州港拟建5万t级航道工程常态水动力情况进行研究,深入分析工程实施后最大流速、最大横流等,以掌握工程实施对周围海域的影响,也为其它相关研究提供支持。研究结果表明:方案的实施未改变大范围海域潮流运动规律,变化发生在工程附近海域;航道掩护段以内最大流速约1.13 m/s,掩护段以外最大流速约0.68 m/s;内航道段由于受两侧导堤约束,水体基本沿航道顺流,横流较弱,均在0.30 m/s以下,外航道最大横流0.46 m/s。

关键词：滨州港航道数值模拟水动力港El 潮流

岱山—洋山跨海通道水沙环境影响数值模拟研究

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海洋工程 2024年第2期42卷 171-180页

作者：李文丹李孟国解鸣晓赵张益韩志远交通运输部天津水运工程科学研究所港口水工建筑技术国家工程研究中心工程泥沙交通行业重点实验室天津300456

杭州湾是世界闻名的强潮河口,具有不规则的岸线边界、独特的地形地貌特征和复杂的水动力泥沙环境。岱山—洋山跨海通道位于杭州湾湾口水域,将岱山与洋山近35km连通,实现了上海—洋山—岱山—舟山—宁波跨海通道的全线贯通,其建设具有非... 详细信息

杭州湾是世界闻名的强潮河口,具有不规则的岸线边界、独特的地形地貌特征和复杂的水动力泥沙环境。岱山—洋山跨海通道位于杭州湾湾口水域,将岱山与洋山近35km连通,实现了上海—洋山—岱山—舟山—宁波跨海通道的全线贯通,其建设具有非常重要的意义。基于考虑波浪作用的潮流泥沙数值模型,讨论了岱山—洋山跨海通道几种工况对杭州湾大范围海域水沙环境的影响。研究结果表明:跨海通道实施后潮位变化在大桥轴线附近较为敏感,远离则基本没有影响,高低潮位变化幅度大多在2 cm以内。杭州湾涨落潮量减小小于0.6%。水流流态和水下地形仅在大桥附近水域存在明显变化。从对杭州湾水沙环境影响角度考虑,岱山—洋山跨海通道几种工况均可行,建议关注桥墩和人工岛附近的局部冲刷问题。

关键词：杭州湾舟山群岛数学模型潮流含沙量岸滩演变

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粤东大亚湾水沙环境及岸滩演变分析

水运工程 2024年第5期 1-7页

作者：谢华亮赵张益王恒交通运输部天津水运工程科学研究所港口水工建筑技术国家工程研究中心工程泥沙交通行业重点实验室天津300456

根据现场实测水文泥沙及地形资料,对大亚湾海域的自然条件、水沙环境特征及岸滩演变特征进行分析,研究结果表明:大亚湾潮差较小,波浪和潮流动力弱,水体含沙量较低,泥沙来源有限,主要来自近岸附近滩面就地搬运的少量泥沙。湾内底质多为... 详细信息

根据现场实测水文泥沙及地形资料,对大亚湾海域的自然条件、水沙环境特征及岸滩演变特征进行分析,研究结果表明:大亚湾潮差较小,波浪和潮流动力弱,水体含沙量较低,泥沙来源有限,主要来自近岸附近滩面就地搬运的少量泥沙。湾内底质多为黏土质粉砂,呈现淤积质海岸的沉积特点。因此大亚湾海域水清沙少,自然状态下海床长期保持稳定。近期受港口航道建设、围填海等人类活动的影响,部分海床地形出现较大幅度的冲淤变化。湾内港池、航道疏浚开挖后航槽稳定,回淤强度较小。正确认识该海域的水动力条件、泥沙运移及海床冲淤变化,不仅是开展海岸工程开发建设的关键技术问题,也有利于近岸海洋环境保护及资源开发利用。

关键词：水沙环境泥沙来源岸滩演变大亚湾

Decision making module based on stochastic magnetic tunnel junctions

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 202-209页

作者： Yifan Miao Li zhao Yajun Zhang Zhe Yuan Center for Advanced Quantum Studies and Department of Physics Beijing Normal University Institute for Nanoelectric Devices and Quantum Computing Fudan University Interdisciplinary Center for Theoretical Physics and Information Sciences Fudan University

In biological neural systems, noise is ubiquitous but does not affect the correct decisions made in the complex cognitive ***-making in biological neural system is typically achieved by accumulating input information over a period of *** by recent developments in neurosciences, we design a decision-making module based on spintronic devices, utilizing superparamagnetic tunnel junctions as artificial neurons. The feasibility of this decision-making module is verified through circuit simulations. Taking a multi-layer perceptron as an example, the module significantly improves the accuracy of the perceptron in the handwritten digit recognition task. Furthermore, the spintronic decision-making module offers advantages over the conventional pooling methods, such as adaptive decision time, high performance and the absence of analog-to-digital conversion. The decision-making module is flexible to be integrated into artificial neural networks and provides a general yet effective solution to enhance performance against device noise.

关键词： neuromorphic computing spintronics magnetic tunnel junction neural networks

A Generative Model-Based Network Framework for Ecological Data Reconstruction

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Computers, Materials & Continua 2025年第1期82卷 929-948页

作者： Shuqiao Liu zhao Zhang Hongyan Zhou Xuebo Chen School of Electronic and Information Engineering University of Science and Technology LiaoningAnshan114051China School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan114051China

This study examines the effectiveness of artificial intelligence techniques in generating high-quality environmental data for species introductory site selection *** Strengths,Weaknesses,Opportunities,Threats(SWOT)analysis data with Variation Autoencoder(VAE)and Generative AdversarialNetwork(GAN)the network framework model(SAE-GAN),is proposed for environmental data *** model combines two popular generative models,GAN and VAE,to generate features conditional on categorical data embedding after SWOT *** model is capable of generating features that resemble real feature distributions and adding sample factors to more accurately track individual sample *** data is used to retain more semantic information to generate *** model was applied to species in Southern California,USA,citing SWOT analysis data to train the *** show that the model is capable of integrating data from more comprehensive analyses than traditional methods and generating high-quality reconstructed data from them,effectively solving the problem of insufficient data collection in development *** model is further validated by the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)classification assessment commonly used in the environmental data *** study provides a reliable and rich source of training data for species introduction site selection systems and makes a significant contribution to ecological and sustainable development.

关键词： Convolutional Neural Network(CNN) VAE GAN TOPSIS data reconstruction

IDSSCNN-XgBoost:Improved Dual-Stream Shallow Convolutional Neural Network Based on Extreme Gradient Boosting Algorithm for Micro Expression Recognition

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Computers, Materials & Continua 2025年第1期82卷 729-749页

作者： Adnan Ahmad zhao Li Irfan Tariq Zhengran He School of Information Science and Engineering Southeast UniversityNanjing210016China

Micro-expressions(ME)recognition is a complex task that requires advanced techniques to extract informative features fromfacial *** deep neural networks(DNNs)with convolutional structures have been ***,unlike DNNs,shallow convolutional neural networks often outperform deeper models in mitigating overfitting,particularly with small ***,many of these methods rely on a single feature for recognition,resulting in an insufficient ability to extract highly effective *** address this limitation,in this paper,an Improved Dual-stream Shallow Convolutional Neural Network based on an Extreme Gradient Boosting Algorithm(IDSSCNN-XgBoost)is introduced for ME *** proposed method utilizes a dual-stream architecture where motion vectors(temporal features)are extracted using Optical Flow TV-L1 and amplify subtle changes(spatial features)via EulerianVideoMagnification(EVM).These features are processed by IDSSCNN,with an attention mechanism applied to refine the extracted effective *** outputs are then fused,concatenated,and classified using the XgBoost *** comprehensive approach significantly improves recognition accuracy by leveraging the strengths of both temporal and spatial information,supported by the robust classification power of *** proposed method is evaluated on three publicly available ME databases named Chinese Academy of Sciences Micro-expression Database(CASMEII),Spontaneous Micro-Expression Database(SMICHS),and Spontaneous Actions and Micro-Movements(SAMM).Experimental results indicate that the proposed model can achieve outstanding results compared to recent *** accuracy results are 79.01%,69.22%,and 68.99%on CASMEII,SMIC-HS,and SAMM,and the F1-score are 75.47%,68.91%,and 63.84%,*** proposed method has the advantage of operational efficiency and less computational time.

关键词： ME recognition dual stream shallow convolutional neural network euler video magnification TV-L1 XgBoost