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Recent advances in hydrology studies under changing permafrost on the Qinghai-Xizang Plateau

Research in Cold and Arid Regions 2024年第4期16卷 159-169页

作者： Lu Zhou YuZhong Yang DanDan Zhang HeLin Yao State Key Laboratory of Frozen Soil Engineering Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouGansu 730000China Key Laboratory of Cryosphere Science and Frozen Soil Engineering Chinese Academy of SciencesLanzhouGansu 730000China University of Chinese Academy of Sciences Beijing 100049China College of Energy and Power Engineering Lanzhou University of TechnologyLanzhouGansu 730050China

Due to the great influences of both climate warming and human activities,permafrost on the Qinghai-Xizang Plateau(QXP) has been undergoing considerable *** degradation of plateau permafrost dramatically modifies the regional water cycle and hydrological processes,affecting the hydrogeological conditions,and ground hydrothermal status in cold *** thawing impacts the ecological environment,engineering facilities,and carbon storage functions,releasing some major greenhouse gases and exacerbating climate *** the utilization of advanced research methodologies to investigate the changing hydrological processes and the corresponding influencing factors in permafrost regions,there still exist knowledge gaps in multivariate data,quantitative analysis of permafrost degradation's impact on various water bodies,and systematic hydrological modeling on the *** review summarizes the main research methods in permafrost hydrology and elaborates on the impacts of permafrost degradation on regional precipitation distribution patterns,changes in surface runoff,expansion of thermokarst lakes/ponds,and groundwater dynamics on the ***,we discuss the current inadequacies and future research priorities,including multiple methods,observation data,and spatial and temporal scales,to provide a reference for a comprehensive analysis of the hydrological and environmental effects of permafrost degradation on the QXP under a warming climate.

关键词： Qinghai-Xizang Plateau Permafrost degradation Hydrological processes

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SL-SFGR: Segmentation Learning Coupling Spatial-Frequency Structure Information Enhancement for Guiding Registration

SL-SFGR: Segmentation Learning Coupling Spatial-Frequency St...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Gao, Fan He, Yuanbo Li, Shuai Hao, Aimin Wang, Meiyun Cao, Desen Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing China Henan Academy of Innovations in Medical Science Zhengzhou China Chinese Pla General Hospital Department of Biomedical Engineering Beijing China

ISBN: (纸本)9798350386226

The core of medical image registration lies in the alignment of corresponding structures. Hence, the effective construction of structure information in images is crucial for guiding registration. Some methods directly introduce explicit structure priors for assisting registration training, but obtaining high-precision structure priors is intrinsically challenging. As a segmentation model for obtaining structure priors, its capability is built upon the effective construction of structure information, thus its model learning can also be used to guide registration. However, existing registration-segmentation joint methods mostly only use segmentation results at the output level to constrain registration, neglecting the guidance of segmentation learning at the feature level for registration. Moreover, most existing methods only extract features in the image spatial domain for registration, overlooking the structure information in the frequency domain that is more easily captured to guide registration. To this end, this paper proposes an innovative registration method, namely Segmentation Learning Coupling Spatial-Frequency Structure Information Enhancement for Guiding Registration (SL-SFGR). Specifically, first, a semi-supervised segmentation learning network is constructed based on the registration deformation field to introduce structure features suitable for guiding registration. Second, an adaptive feature enhancement module is built in the spatial-frequency dual domain to further strengthen the inherent structure features. Finally, Dynamic Weight Average (DWA) is utilized for joint optimization of the model. The effectiveness of the proposed method has been verified on different brain MRI datasets. The related code is available at: https://***/goghfan/SL-SFGR/. © 2024 IEEE.

关键词： Frequency domain analysis

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Combining single-cell RNA sequencing with spatial transcriptome analysis reveals dynamic molecular maps of cambium differentiation in the primary and secondary growth of trees

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Plant Communications 2023年第5期4卷 46-62页

作者： Renhui Li Zhifeng Wang Jia-Wei Wang Laigeng Li National Key Laboratory of Plant Molecular Genetics and CAS Center for Excellence in Molecular Plant Sciences Institute of Plant Physiology and EcologyChinese Academy of SciencesShanghai 200032China University of the Chinese Academy of Sciences Beijing 100049China School of Life Science and Technology ShanghaiTech UniversityShanghai 201210China

Primary and secondary growth of the tree stem are responsible for corresponding increases in trunk height and ***,our molecular understanding of the biological processes that underlie these two types of growth is *** this study,we used single-cell RNA sequencing and spatial transcriptome sequencing to reveal the transcriptional landscapes of primary and secondary growth tissues in the Populus *** between the cell atlas and differentiation trajectory of primary and secondary growth revealed different regulatory networks involved in cell differentiation from cambium to xylem precursors and phloem *** regulatory networks may be controlled by auxin accumulation and *** of cell differentiation trajectories suggested that vessel and fiber development followed a sequential pattern of progressive transcriptional *** research provides new insights into the processes of cell identity and differentiation that occur throughout primary and secondary growth of tree stems,increasing our understanding of the cellular differentiation dynamics that occur during stemgrowth in trees.

关键词： scRNA-seq spatial transcriptome primary growth secondary growth secondary cell wall SCW Populus

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An incremental unsupervised feature extraction method based on Infomax 22

An incremental unsupervised feature extraction method based ...

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7th International Conference on Biomedical Signal and Image Processing, ICBIP 2022

作者： Niu, Weikun Yuan, Sen Zhang, Feng Key Laboratory of Cognition and Intelligence Technology Information Science Academy of China Electronics Technology Group Corporation Beijing10086 China

ISBN: (纸本)9781450396691

In recent years with the advent of big data, unsupervised feature extraction has developed rapidly, among which independent component analysis (ICA), as a classical unsupervised technique, has been widely applied in a variety of data scenarios. This paper proposes an incremental unsupervised feature extraction method based on one specific kind of ICA, i.e. Infomax. Specifically, an incremental singular value decomposition (SVD) was used in combination with the a hierarchical Infomax principle, so as to realize the rapid batch processing of data and reduce the computational complexity. Then, this method was tested with MNIST, a handwritten data set for experimental verification. The results showed that the proposed method can greatly improve the speed of feature extraction under the condition of large data volume, and ensure that the calculation results are consistent with the previous training method. Furthermore, by application in Google Speech Recognition Challenge, we verified that this method can significantly improve the training efficiency for real-world pattern recognition scenarios. The proposed method can be applied in feature extraction, data visualization and supervised learning of high-dimensional data. © 2022 ACM.

关键词： Feature extraction

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The Evolution of Photospheric Current Density During an X9.3-Class Solar Flare

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Research in Astronomy and Astrophysics 2024年第10期24卷 189-200页

作者： Hai-Li Li Hong-Fei Liang Xin-Ping Zhou Yu Liu Ni Meng Yu-Long Feng Department of Physics Yunnan Normal UniversityKunming 650500China State Key Laboratory of Space Weather Chinese Academy of SciencesBeijing 100190China College of Physics and Electronic Engineering Sichuan Normal UniversityChengdu 610068China School of Physical Science and Technology Southwest Jiaotong UniversityChengdu 610068China

This paper deduced the temporal evolution of the magnetic field through a series of high-resolution vector magnetograms and calculated the fine distribution map of current density during an X9.3-class flare eruptions using Ampère's *** results show that a pair of conjugate current ribbons exist on both sides of the magnetic neutral line in this active region,and these conjugate current ribbons persist before,during,and after the *** was observed that the X9.3-class flare brightened in the form of a bright core and evolved into a double-ribbon flare over ***,the position of the double-ribbon flare matches the position of the current ribbons with high accuracy,and their morphologies are very *** investigating the complexity of current density and flare morphology,we discovered a potential connection between the eruption of major flares and the characteristics of current density.

关键词： Sun:activity Sun:magnetic fields Sun:flares methods:data analysis

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analysis of the influence of surface roughness of gold electrodes on electromagnetic-thermal effect in thin-film lithium niobate modulator 13

Analysis of the influence of surface roughness of gold elect...

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Optoelectronic Devices and Integration XIII 2024

作者： Cao, Yumin Su, Jianchao Jin, Ya Zhang, Renheng Zheng, Tiangang Li, Ming Wang, Xin Key Laboratory of Optoelectronic Materials and Devices Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781510682009

The operation of the device is affected by the increase in temperature caused by the rough electrodes surface of the thinfilm lithium niobate modulator. We have developed simulation models to analyze the relationship between roughness and maximum surface temperature of gold electrodes and to examine the influence of snowball radius and surface area ratio on the maximum surface temperature. The results indicate that both surface area ratio and snowball radius affect maximum surface temperature change, with the influence of surface area ratio being greater than that of snowball radius within the range of 2-6nm and a surface area ratio between 1.6-2.5, respectively. © 2024 SPIE. All rights reserved.

关键词： Photons

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Positional cloning and characterization reveal the role of a miRNA precursor gene ZmLRT in the regulation of lateral root number and drought tolerance in maize

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Journal of Integrative Plant Biology 2023年第3期65卷 772-790页

作者： Ming Zhang Yanhong Chen Hongyan Xing Wensheng Ke Yunlu Shi Zhipeng Sui Ruibin Xu Lulu Gao Ganggang Guo Jiansheng Li Jiewen Xing Yirong Zhang State Key Laboratory for Agrobiotechnology Key Laboratory of Crop Heterosis and Utilization(MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijing 100193China Agronomy College of Shandong Agricultural University Taian 271018China Key L aboratory of Crop Germplasm Resources and Utilization(MARA) Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China Center for Crop Functional Genomics and Molecular Breeding China Agricultural UniversityBeijing 100193China Yantai Science and Technology Innovation Promotion Center Yantai 264003China Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding Maize Research InstituteBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China National Maize Improvement Center of China China Agricultural UniversityBeijing 100193China

Lateral roots play essential roles in drought tolerance in maize(Zea mays L.). However, the genetic basis for the variation in the number of lateral roots in maize remains elusive. Here, we identified a major quantitative trait locus(QTL),q LRT5-1, controlling lateral root number using a recombinant inbred population from a cross between the maize lines Zong3(with many lateral roots) and 87-1(with few lateral roots).Fine-mapping and functional analysis determined that the candidate gene for qLRT5-1,ZmLRT, expresses the primary transcript for the microRNA miR166a. ZmLRT was highly expressed in root tips and lateral root primordia,and knockout and overexpression of ZmLRT increased and decreased lateral root number,respectively. Compared with 87-1, the ZmLRT gene model of Zong3 lacked the second and third exons and contained a 14 bp deletion at the junction between the first exon and intron,which altered the splicing site. In addition,ZmLRT expression was significantly lower in Zong3 than in 87-1, which might be attributed to the insertions of a transposon and over large DNA fragments in the Zong3 ZmLRT promoter region. These mutations decreased the abundance of mature miR166a in Zong3, resulting in increased lateral roots at the seedling ***, miR166a post-transcriptionally repressed five development-related class-Ⅲ homeodomain-leucine zipper genes. Moreover,knockout of ZmLRT enhanced drought tolerance of maize seedlings. Our study furthers our understanding of the genetic basis of lateral root number variation in maize and highlights ZmLRT as a target for improving drought tolerance in maize.

关键词： drought tolerance lateral root number maize miRNA precursor QTL mapping

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Unveiling and advancing grassland degradation research using a BERTopic modelling approach

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Journal of Integrative Agriculture 2025年第3期24卷 949-965页

作者： Tong Li Lizhen Cui Yu Wu Rajiv Pandey Hongdou Liu Junfu Dong Weijin Wang Zhihong Xu Xiufang Song Yanbin Hao Xiaoyong Cui Jianqing Du Xuefu Zhang Yanfen Wang School of Agriculture and Food Sustainability The University of QueenslandSt Lucia 4072Australia College of Life Sciences University of Chinese Academy of SciencesBeijing 100049China Agricultural Information Institute Chinese Academy of Agricultural SciencesBeijing 100081China Indian Council of Forestry Research&Education Dehradun 248006India Centre for Planetary Health and Food Security School of Environment and ScienceGriffith UniversityNathanBrisbane 4111Australia Institute of Marine Science and Technology Shandong UniversityQingdao 264209China National Science Library Chinese Academy of SciencesBeijing 100190China Department of Information Resources Management School of Economics and ManagementUniversity of Chinese Academy of SciencesBeijing 100190China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408China State Key Laboratory of Tibetan Plateau Earth System Science(LATPES) Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China

Grassland degradation presents overwhelming challenges to biodiversity,ecosystem services,and the socioeconomic sustainability of dependent ***,a comprehensive synthesis of global knowledge on the frontiers and key areas of grassland degradation research has not been achieved due to the limitations of traditional scientometrics *** present synthesis of information employed BERTopic,an advanced natural language processing tool,to analyze the extensive ecological literature on grassland *** compiled a dataset of 4,504 publications from the Web of science core collection database and used it to evaluate the geographic distribution and temporal evolution of different grassland types and available knowledge on the *** analysis identified key topics in the global grassland degradation research domain,including the effects of grassland degradation on ecosystem functions,grassland ecological restoration and biodiversity conservation,erosion processes and hydrological models in grasslands,and *** BERTopic analysis significantly outperforms traditional methods in identifying complex and evolving topics in large datasets of *** to traditional scientometrics analysis,BERTopic provides a more comprehensive perspective on the research areas,revealing not only popular topics but also emerging research areas that traditional methods may overlook,although scientometrics offers more specificity and ***,we argue for the simultaneous use of both approaches to achieve more systematic and comprehensive assessments of specific research *** study represents an emerging application of BERTopic algorithms in ecological research,particularly in the critical research focused on global grassland *** also highlights the need for integrating advanced computational methods in ecological research in this era of data *** like the BERTopic algorithm are essential for enhancing our understandin

关键词： natural language processing grassland degradation knowledge synthesis scientometrics systematic review

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Neutron capture cross section of ^(169)Tm measured at the CSNS Back-n facility in the energy region from 30 to 300 keV

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Chinese Physics C 2022年第4期46卷 92-104页

作者： Jie Ren Xichao Ruan Wei Jiang Jie Bao Jincheng Wang Qiwei Zhang Guangyuan Luan Hanxiong Huang Yangbo Nie Zhigang Ge Qi An Huaiyong Bai Yu Bao Ping Cao Haolei Chen Qiping Chen Yonghao Chen Yukai Chen Zhen Chen Zengqi Cui Ruirui Fan Changqing Feng Keqing Gao Minhao Gu Changcai Han Zijie Han Guozhu He Yongcheng He Yang Hong Weiling Huang Xiru Huang Xiaolu Ji Xuyang Ji Haoyu Jiang Zhijie Jiang Hantao Jing Ling Kang Mingtao Kang Bo Li Chao Li Jiawen Li Lun Li Qiang Li Xiao Li Yang Li Rong Liu Shubin Liu Xingyan Liu Qili Mu Changjun Ning Binbin Qi Zhizhou Ren Yingpeng Song Zhaohui Song Hong Sun Kang Sun Xiaoyang Sun Zhijia Sun Zhixin Tan Hongqing Tang Jingyu Tang Xinyi Tang Binbin Tian Lijiao Wang Pengcheng Wang Qi Wang Taofeng Wang Zhaohui Wang Jie Wen Zhongwei Wen Qingbiao Wu Xiaoguang Wu Xuan Wu Likun Xie Yiwei Yang Han Yi Li Yu Tao Yu Yongji Yu Guohui Zhang Linhao Zhang Xianpeng Zhang Yuliang Zhang Zhiyong Zhang Yubin Zhao Luping Zhou Zuying Zhou Danyang Zhu Kejun Zhu Peng Zhu Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Spallation Neutron Source Science Center Dongguan 523803China State Key Laboratory of Particle Detection and Electronics Department of Modern Physics University of Science and Technology of ChinaHefei 230026China State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China Northwest Institute of Nuclear Technology Xi'an 710024China University of Chinese Academy of Sciences Beijing 100049China Department of Engineering and Applied Physics University of Science and Technology of ChinaHefei 230026China School of Physics Beihang UniversityBeijing 100083China

The capture cross sections of the ^(169)Tm(n,γ)reaction were measured at the back streaming white neutron beam line(Back-n)of the China Spallation Neutron Source(CSNS)using four C_(6)D_(6) liquid scintillation *** background subtraction,normalization,and correction were carefully considered in the data analysis to obtain accurate cross *** the resonance at 3.9 eV,the R-matrix code SAMMY was used to determine the resonance parameters with the internal normalization *** average capture cross sections of ^(169)Tm for energy between 30 and 300 keV were extracted relative to the ^(197)Au(n,γ)*** measured cross sections of the ^(169)Tm(n,γ)reaction were reported in logarithmically equidistant energy bins with 20 bins per energy decade with a total uncertainty of 5.4%-7.0% in this study and described in terms of average resonance parameters using a Hauser-Feshbach calculation with *** point-wise cross sections and the average resonance parameters showed fair agreement with the evaluated values of the ENDF/B-Ⅷ.0 library in the energy region studied.

关键词： ^(169)Tm(n,γ)^(170)Tm reaction capture cross section PHWT CSNS Back-n white neutron source

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Review of medical data analysis based on spiking neural networks 10

Review of medical data analysis based on spiking neural netw...

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10th International Conference on Information technology and Quantitative Management, ITQM 2023

作者： Li, Xiaoxue Zhang, Xiaofan Yi, Xin Liu, Dan Wang, He Zhang, Bowen Zhang, Bohan Zhao, Di Wang, Liqun College of Science China University of Petroleum Beijing102249 China Beijing Key Laboratory of Optical Detection Technology for Oil and Gas China University of Petroleum Beijing102249 China Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China

Medical data mainly includes various types of biomedical signals and medical images, which can be used by professional doctors to make judgments on patients' health conditions. However, the interpretation of medical data requires a lot of human cost and there may be misjudgments, so many scholars use neural networks and deep learning to classify and study medical data, which can improve the efficiency and accuracy of doctors and detect diseases early for early diagnosis, etc. Therefore, it has a wide range of application prospects. However, traditional neural networks have disadvantages such as high energy consumption and high latency (slow computation speed). This paper presents recent research on signal classification and disease diagnosis based on a third-generation neural network, the spiking neuron network, using medical data including EEG signals, ECG signals, EMG signals and MRI images. The advantages and disadvantages of pulsed neural networks compared with traditional networks are summarized and its development orientation in the future is prospected. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Tenth International Conference on Information technology and Quantitative Management.

关键词： Magnetic resonance

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