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Fine mapping and characterization of stripe rust resistance gene YrAYH in near-isogenic lines derived from a cross involving wheat landrace Anyuehong

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The Crop Journal 2024年第3期12卷 826-835页

作者： Li Long Jue Li Linyu Huang Huiling Jin Fangnian Guan Haipeng Zhang sasa zhao Hao Li Zhien Pu Wei Li Qiantao Jiang Yuming Wei Jian Ma Houyang Kang Shoufen Dai Pengfei Qi Qiang Xu Mei Deng Youliang Zheng Yunfeng Jiang Matthew James Moscou Guoyue Chen State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China Sichuan Agricultural UniversityChengdu 611130SichuanChina Triticeae Research Institute Sichuan Agricultural UniversityChengdu 611130SichuanChina College of Resources Sichuan Agricultural UniversityChengdu 611130SichuanChina The Sainsbury Laboratory Norwich Research ParkNorwich NR47UHEnglandUK United States Department of Agriculture-Agricultural Research Service Cereal Disease LaboratorySt.PaulMN 55108USA

Stripe rust,caused by Puccinia striiformis ***(Pst),is a devastating disease in wheat *** and characterizing new resistance genes/QTL is crucial for wheat breeding *** this study,we fine-mapped and characterized a stripe rust resistance gene,YRAYH,on chromosome arm 5BL in the Chinese wheat landrace Anyuehong(AYH).Evaluations of stripe rust response to prevalent Chinese Pst races in near-isogenic lines derived from a cross of Anyuehong and Taichung 29 showed that YrAYH conferred a high level of resistance at all growth *** mapping using a large segregating population of 9748 plants,narrowed the YRAYH locus to a 3.7 Mb interval on chromosome arm 5BL that included 61 annotated *** analysis of two NIL pairs identified 64 upregulated differentially expressed genes(DEGs)in the resistant NILs(NILs-R).Annotations indicated that many of these genes have roles in plant disease resistance *** a combined approach of fine-mapping and transcriptome sequencing,we identified a serine/threonine-protein kinase SRPK as a candidate gene underlying YrAYH.A unique 25 bp insertion was identified in the NILs-R compared to the NILs-S and previously published wheat *** InDel marker was developed and co-segregated with *** trait evaluation of the NILs suggested that YrAYH not only reduces the impact of stripe rust but was also associated with a gene that increases plant height and spike length.

关键词： Candidate gene analysis Crop protection Puccinia striiformis Transcriptome analyses

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教育发展研究 2016年第11期36卷 46-52页

作者：吴一鸣赵飒飒安庆职业技术学院副研究员安庆246003 淄博职业学院淄博255314

基于2016年高等职业教育质量年度报告中的"服务贡献表"数据,借助SPSS22.0软件采用主成分分析法建构出高职院校社会服务绩效指数测算模型,按照地区分布、省域分布、城市分布、示范校类别、不同办学经费来源等5个维度对885所高职院校的社... 详细信息

基于2016年高等职业教育质量年度报告中的"服务贡献表"数据,借助SPSS22.0软件采用主成分分析法建构出高职院校社会服务绩效指数测算模型,按照地区分布、省域分布、城市分布、示范校类别、不同办学经费来源等5个维度对885所高职院校的社会服务绩效指数及其分项指标进行了相关性分析,进而从厘清办学定位、提升办学实力、促进产教融合、统筹社会服务等方面提出了提升高职院校社会服务能力的对策建议。

关键词：高职院校社会服务绩效指数影响因素

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V.S.奈保尔“旅行人格”的形成探析

沈阳大学学报（社会科学版） 2023年第6期25卷 85-90页

作者：赵飒飒西北工业大学外国语学院陕西西安710129

通过分析奈保尔旅行背后的多种影响因素,认为他特殊的童年经历、探索缺失历史的需要及阶级认同的需要、现实生活和写作及对存在的哲学思考带来的焦虑驱使奈保尔无数次踏上旅途,并塑造了其“旅行人格”。认为这种人格体现在奈保尔的“外... 详细信息

通过分析奈保尔旅行背后的多种影响因素,认为他特殊的童年经历、探索缺失历史的需要及阶级认同的需要、现实生活和写作及对存在的哲学思考带来的焦虑驱使奈保尔无数次踏上旅途,并塑造了其“旅行人格”。认为这种人格体现在奈保尔的“外显行为”和“内隐思维”中,反映了作家人格中的“不稳定性”与“渴望安全”的意识。

关键词：旅行人格旅行 V.S.奈保尔童年经验

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欧洲旅行写作发展史述评

外国语文研究 2022年第3期8卷 57-65页

作者：赵飒飒西北工业大学外国语学院

欧洲旅行写作历史悠久,在历史发展的各阶段,特征鲜明,既“报道世界”,“表征他者”,亦“发现自我”,随着时间的推移,其内涵不断拓展和丰富,在文体风格上不断创新。旅行写作从处于边缘地位到重新被认识和审视,影响力不断上升,其在地理学... 详细信息

欧洲旅行写作历史悠久,在历史发展的各阶段,特征鲜明,既“报道世界”,“表征他者”,亦“发现自我”,随着时间的推移,其内涵不断拓展和丰富,在文体风格上不断创新。旅行写作从处于边缘地位到重新被认识和审视,影响力不断上升,其在地理学、历史学、社会学、人类学、语言学、全球史等方面的价值被挖掘,这是旅行写作当下发展的契机,但仍需处理好“虚构性”与“纪实”的关系,克服意识形态的局限性。

关键词：欧洲旅行写作游记旅行文学

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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急性延髓梗死伴重症肌无力危象一例报道

中华神经医学杂志 2020年第1期19卷 70-71-72页

作者：裴观辉张雪王欣蕾赵洒洒陈晨台立稳河北医科大学第二医院神经内科

急性延髓梗死是脑干梗死的常见类型之一,患者可表现吞咽困难、饮水呛咳、构音障碍等球麻痹症状。重症肌无力患者主要表现为骨骼肌无力,早期可单独出现眼外肌、咽喉肌或肢体肌肉无力,常从一组肌群无力开始,逐渐累及其他肌群,直到全身肌无... 详细信息

急性延髓梗死是脑干梗死的常见类型之一,患者可表现吞咽困难、饮水呛咳、构音障碍等球麻痹症状。重症肌无力患者主要表现为骨骼肌无力,早期可单独出现眼外肌、咽喉肌或肢体肌肉无力,常从一组肌群无力开始,逐渐累及其他肌群,直到全身肌无力;部分患者可短期内出现全身肌肉收缩无力,甚至发生肌无力危象。河北医科大学第二医院神经内科2018年收治1例急性延髓梗死短期内并发重症肌无力危象、心跳骤停并抢救成功患者,现将该患者的诊疗经过报道如下,以期为临床同道提供经验借鉴。

关键词：急性延髓梗死重症肌无力肌无力危象

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