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Molecular mechanisms underlying cTAGE5/MEA6-mediated cargo transport and biological functions

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Journal of Genetics and Genomics 2022年第6期49卷 519-522页

作者： tiantian ma Feng Zhang Yaqing Wang Zhiheng Xu Center for Molecular Developmental Biology Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Coat protein complex Ⅱ(COPⅡ)-coated vesicles are responsible for transporting the cargoes from the endoplasmic reticulum(ER) to different destinations. c TAGE5/MEA6 is essential for the development and function of different organs. It regulates the assembly of COPⅡ carrier and cargo trafficking through direct or indirect interaction with COPII components. c TAGE5/MEA6 mainly coordinates with another scaffold protein, TANGO1, to play essential roles in the trafficking and secretion of both large and small cargoes in multiple organs. In this viewpoint, we would like to discuss the molecular mechanisms underlying c TAGE5/MEA6-mediated cargo transport and biological functions.

关键词： cTAGE5/MEA6 COPII ER Cargo secretion

Impacts of Coastal Reclamation on Natural Wetlands in Large River Deltas in China

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Chinese Geographical Science 2019年第4期29卷 640-651页

作者： ma tiantian LI Xiaowen BAI Junhong CUI Baoshan State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University

Little information is available on the impacts of coastal reclamation on wetland loss in large-river deltas at a regional *** remote sensing data of coastal wetland and reclamation in four deltas in China from 1978 to 2014, we tracked their continuous area changes in four periods: 1978–1990, 1990–2000, 2000–2008, and 2008–2014. The areal relation between wetland loss and reclamation was quantified and used to identify coastal reclamation mode intensity coupled with another three indicators: reclamation rate,accretion rate and land-use intensity of coastal reclamation. The results showed that coastal reclamation driven by economic development reduced, or even reverse the original growth of delta which was determined by the offset between wetland acceleration rate and wetland loss rate. Generally, the area of reclamation showed a positive linear correlation with the area of wetland loss. The findings imply that human activities should control reclamation rate and intensity to alleviate total wetland loss and maintain wetland ’net gain’.Inappropriate coastal reclamation modes can magnify total wetland loss;therefore, coastal reclamation with a slow increment rate and low impervious surface percent is of great importance for sustainable development in future coastal management.

关键词： coastal reclamation wetland loss coastal reclamation mode multi-case comparison large river delta coastal management

Unknown Application Layer Protocol Recognition Method Based on Deep Clustering

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China Communications 2024年第12期21卷 275-296页

作者： Wu Jisheng Hong Zheng ma tiantian Si Jianpeng Institute of Command and Control Engineering Army Engineering University of PLANanjing 210007China

In recent years,many unknown protocols are constantly emerging,and they bring severe challenges to network security and network *** unknown protocol recognition methods suffer from weak feature extraction ability,and they cannot mine the discriminating features of the protocol data *** address the issue,we propose an unknown application layer protocol recognition method based on deep *** clustering which consists of the deep neural network and the clustering algorithm can automatically extract the features of the input and cluster the data based on the extracted *** with the traditional clustering methods,deep clustering boasts of higher clustering *** proposed method utilizes network-in-network(NIN),channel attention,spatial attention and Bidirectional Long Short-term memory(BLSTM)to construct an autoencoder to extract the spatial-temporal features of the protocol data,and utilizes the unsupervised clustering algorithm to recognize the unknown protocols based on the *** method firstly extracts the application layer protocol data from the network traffic and transforms the data into one-dimensional ***,the autoencoder is pretrained,and the protocol data is compressed into low dimensional latent space by the autoencoder and the initial clustering is performed with ***,the clustering loss is calculated and the classification model is optimized according to the clustering *** classification results can be obtained when the classification model is *** with the existing unknown protocol recognition methods,the proposed method utilizes deep clustering to cluster the unknown protocols,and it can mine the key features of the protocol data and recognize the unknown protocols *** results show that the proposed method can effectively recognize the unknown protocols,and its performance is better than other methods.

关键词： attention mechanism clustering loss deep clustering network traffic unknown protocol recognition

Research on Subjective Bias Cognition Effect in Handwriting Identification

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Journal of Forensic Science and Medicine 2018年第4期4卷 203-212页

作者： Bing Li tiantian ma Key Laboratory of Evidence Law and Forensic Science Ministry of EducationCollaborative Innovation Center of Judicial CivilizationInstitute of Evidence Law and Forensic ScienceChina University of Political Science and LawBeijingChina

This article starts from the point of view that handwriting examination is dependent on empiricism and by analyzing the core steps ofhandwriting identification explains that it might be influenced by subjective *** practice,examiners cannot avoid biases in decision-making;instead,we must accept the existence of subjective bias in handwriting identification and then discuss its impact;for instance,feature selection in the process of comprehensive evaluation,which involves a comparison of the number and quality of similarities and differences between a questioned sample and the *** we conclude that comprehensive evaluation is the most important step in the identification process,industries in China do not stipulate explicit and transparent criteria for it,making it hard to numerically quantify the characteristics ofhandwriting *** this article,forensic examiners5 opinions on handwriting identification were obtained through a *** finding was that most handwriting examiners believe that handwriting identification is subject to subjective *** addition,they believe that the subjective cognition of handwriting identification can somehow help actively produce the correct opinion;before the examination,most handwriting examiners think that they should understand the context and so ***,through the questionnaire,which contained variations such as the same case with different background information,different cases with the same background information,and the same case with or without context,it was concluded that handwriting identification does have certain ***,which kind of factors influence this subjectivity is not presently ***,it is difficult to control uncertainties when fbnnmg an opinion on *** alternative way is to perform scrutiny after the formulation ofhandwritmg opinions;for example,internal and external reviews such as appearing in court.

关键词： Bias cognition forensic examination forensic expertise handwriting identification

Assessment of China’s forest fi re occurrence with deep learning, geographic information and multisource data

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Journal of Forestry Research 2023年第4期34卷 963-976页

作者： Yakui Shao Zhichao Wang Zhongke Feng Linhao Sun Xuanhan Yang Jun Zheng tiantian ma Precision Forestry Key Laboratory of Beijing Beijing Forestry UniversityBeijing 100083People’s Republic of China College of Forestry Hainan UniversityHaikou 570228People’s Republic of China Techniques Developing Department National Engineering Research Center of Surveying and MappingBeijing 100039People’s Republic of China

Considerable economic losses and ecological damage can be caused by forest fi res,and compared to suppression,prevention is a much smarter ***,this study focuses on developing a novel framework to assess forest fi re risks and policy decisions on forest fi re management in *** framework integrated deep learning algorithms,geographic information,and multisource *** to conventional approaches,our framework featured timesaving,easy implementation,and importantly,the use of deep learning that vividly integrates various factors from the environment and human *** on 96,594 forest fi re points from 2001 to 2019 was collected on Moderate Resolution Imaging Spectroradiometer(MODIS)fi re hotspots from 2001 to 2019 from NASA’s Fire Information Resource management *** information was classifi ed into factors such as topography,climate,vegetation,and *** prediction of forest fi re risk was generated using a fully connected network model,and spatial autocorrelation used to analyze the spatial aggregation correlation of active fi re hotspots in the whole area of *** results show that high accuracy prediction of fi re risks was achieved(accuracy 87.4%,positive predictive value 87.1%,sensitivity 88.9%,area under curve(AUC)94.1%).Based on this,it was found that Chinese forest fi re risk shows signifi cant autocorrelation and agglomeration both in seasons and *** example,forest fi re risk usually raises dramatically in spring and winter,and decreases in autumn and *** to the national average,Yunnan Province,Guangdong Province,and the Greater Hinggan Mountains region of Heilongjiang Province have higher fi re *** contrast,a large region in central China has been recognized as having a long-term,low risk of forest fi *** forest risks in each region were recorded into the database and could contribute to the forest fi re *** successful assessment of forest fi re risks in this

关键词： Forest fi res Deep learning Spatial autocorrelation Risk zoning management strategies

Prediction of forest fire occurrence in China under climate change scenarios

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Journal of Forestry Research 2023年第5期34卷 1217-1228页

作者： Yakui Shao Guangpeng Fan Zhongke Feng Linhao Sun Xuanhan Yang tiantian ma XuSheng Li Hening Fu Aiai Wang Precision Forestry Key Laboratory of Beijing Beijing Forestry UniversityBeijing 100083People’s Republic of China School of Information Science and Technology Beijing Forestry UniversityBeijing 100083People’s Republic of China College of Forestry Hainan UniversityHaikou 570228People’s Republic of China National Key Laboratory of Remote Sensing Information and Imagery Analyzing Technology Beijing Re-Search Institute of Uranium GeologyBeijing 100029People’s Republic of China School of Geographical Sciences Harbin Normal UniversityHarbin 150028People’s Republic of China

Climate change has an impact on forest fire *** the context of global warming,it is important to study the possible effects of climate change on forest fires,carbon emission reductions,carbon sink effects,forest fire management,and sustainable development of forest *** study is based on MODIS active fire data from 2001-2020 and the influence of climate,topography,vegetation,and social factors were *** and precipitation information from different scenarios of the BCC-CSM2-MR climate model were used as future climate *** climate change scenarios of a sustainable low development path and a high conventional development path,the extreme gradient boosting model predicted the spatial distribution of forest fire occurrence in China in the 2030s(2021-2040),2050s(2041-2060),2070s(2061-2080),and2090s(2081-2100).Probability maps were generated and tested using ROC *** results show that:(1)the area under the ROC curve of training data(70%)and validation data(30%)were 0.8465 and 0.8171,respectively,indicating that the model can reasonably predict the occurrence of forest fire in the study area;(2)temperature,elevation,and precipitation were strongly correlated with fire occurrence,while land type,slope,distance from settlements and roads,and slope direction were less strongly correlated;and,(3)based on future climate change scenarios,the probability of forest fire occurrence will tend to shift from the south to the center of the *** with the current climate(2001-2020),the occurrence of forest fires in 2021-2040,2041-2060,2061-2080,and 2081-2100 will increase significantly in Henan Province(Luoyang,Nanyang,S anmenxia),Shaanxi Province(Shangluo,Ankang),Sichuan Province(Mianyang,Guangyuan,Ganzi),Tibet Autonomous Region(Shannan,Linzhi,Changdu),Liaoning Province(Liaoyang,Fushun,Dandong).

关键词： Climate change Scenarios XGBoost model Forest fires China

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Hierarchical graphene@MXene composite foam modified with flower-shaped FeS for efficient and broadband electromagnetic absorption

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Journal of materials Science & Technology 2023年第2期133卷 238-248页

作者： Shuangshuang Li Xinwei Tang Xu Zhao Shijie Lu Jiangtao Luo Zheyuan Chai tiantian ma Qianqian Lan Piming ma Weifu Dong Zicheng Wang Tianxi Liu The Key Laboratory of Synthetic and Biological Colloids Ministry of EducationSchool of Chemical and Material EngineeringInternational Joint Research Laboratory for Nano Energy CompositesJiangnan UniversityWuxi 214122China

Developing high-performance broadband microwave absorption material becomes an urgent concern in the field of electromagnetic *** this work,an ultralight magnetic composite foam was con-structed by electrostatic self-assembly of MXene on the surface of graphene skeletons,and subsequent hydrothermal anchoring of flower-shaped FeS *** the synergistic effect of MXene coating in-creasing conductive loss and FeS clusters improving magnetic loss,the rational construction of hierarchi-cal impedance structure in foam can effectively promote the entrance and consumption of more incident electromagnetic *** minimum reflection loss(RL min)reaches-47.17 dB at a thickness of 4.78 mm,and the corresponding effective absorption bandwidth(EAB)is up to 6.15 *** importantly,the microwave absorption performance of composite foam can be further optimized by controlling the load-ing of MXene and thermal treatment at a low *** maximum of EAB for GMF-300 can be extended to an unprecedented value of 11.20 GHz(covering 6.10-17.30 GHz).

关键词： Graphene MXene Iron sulfide Hierarchical structure Foam Microwave absorption

Infinite Subharmonic Solutions of the Forced Relativistic Oscillators

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Journal of Applied mathematics and Physics 2019年第7期7卷 1498-1512页

作者： Zaihong Wang tiantian ma School of mathematical Sciences Capital Normal University Beijing China Editorial Department of Journal Capital Normal University Beijing China

In this paper, we study the multiplicity of subharmonic solutions of the nonlinear differential equation of the forced relativistic oscillators. By using the generalized Poincaré-Birkhoff fixed point theorem, we prov... 详细信息

关键词： Relativistic Oscillator Subharmonic Solution Poincaré-Birkhoff Fixed Point Theorem

Strongly coupled N-doped carbon/Fe3O4/N-doped carbon hierarchical micro/nanostructures for enhanced lithium storage performance

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Journal of Energy Chemistry 2019年第7期28卷 43-51页

作者： Tian tian ma Xianghong Liu Li Sun Yongshan Xu Lingli Zheng Jun Zhang College of Physics Qingdao UniversityQingdao 266071ShandongChina Key Laboratory of Advanced Energy materials Chemistry(Ministry of Education) Nankai UniversityTianjin 300071China

A strong interface coupling is of vital importance to develop metal oxide/carbon nanocomposite anodes for next-generation lithium ion ***,a rational N-doped carb on riveting strategy is designed to boost the lithium storage performance of Fe3O4/N-doped carbon tubular *** pyrrole(PPy)has been used as the precursor for N-doped carbon.N-doped carbon-riveted Fe3O4/N-doped carbon(N-C@Fe3O4@N-C)nanocomposites were obtained by pyrolysis of PPy-coated FeOOH@PPy nanotubes in Ar *** tested as an anode for LIBs,the N-C@Fe3O4@N-C displays a high reversible discharge capacity of 675.8 ma h g-1 after 100 cycles at a current density of 100 ma g-1 and very good rate capability(470 ma h g_1 at 2 A g-1),which significantly surpasses the performance of Fe3O4@*** analysis reveals that after battery cycling the FeOx particles detached from the carbon fibers for Fe3O4@N-C,while for N-C@Fe3O4@N-C the FeOx particles were still trapped in the carbon matrix,thus preserving good electrical ***,the superior performance of N-C@Fe3C)4@N-C is attributed to the synergistic effect between Fe3O4 and N-doped carbon combined with the unique structure properties of the *** strategy reported in this work is expected to be applicable for designing other electrode materials for LIBs.

关键词： Iron oxide Micro/nanostructures Carbon tubes Anode Coupling