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The low-latitude sodium layer:comparative data from lidar observations at Hainan,China and São Paulo,Brazil

Earth and Planetary Physics 2025年第1期9卷 39-53页

作者： Fang Wu Jing Jiao GuoTao Yang LiFang Du zhengKuan Liu haoran zheng JiXin Guo ShaoHua Gong YaJun Zhu State Key Laboratory of Space Weather National Space Science CenterChinese Academy of SciencesBeijing 100190China Hainan National Field Science Observation and Research Observatory for Space Weather National Space Science CenterChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China China-Brazil Joint Laboratory for Space Weather NSSC/INPESão Josédos Campos 12227-010Brazil School of Physics and Electronics Engineering Hainan Normal UniversityHaikou 571158China

Physical and chemical processes observed in the mesosphere and thermosphere above the Earth’s low latitudes are complex and highly interrelated to activity in the low-latitude *** sodium detected by lidar can yield clues to dynamic and chemical processes in these spatial layers above the Earth’s *** paper is based on sodium layer data collected at two low-latitude stations,one in the northern hemisphere and one in the *** low-latitude sodium layer exhibits conspicuous seasonal variations in shape,density,and altitude;these variations are similar between Earth’s hemispheres:sodium layer density at both stations reaches its seasonal maximum in autumn and minimum in ***,maximal Na density over Brazil is greater than that over *** variations of Na density above the two low-latitude stations are also similar;at both,maxima are observed before *** variations of the Na layer over Brazil that differ from those observed in the northern hemisphere may be related to the South Atlantic Magnetic Anomaly(SAMA)or fountain *** suggest that low-latitude Na layer data may provide useful additional evidence that could significantly improve the low-latitude part of the WACCM-Na model.

关键词： metallic sodium layer seasonal variation nocturnal variation lidar

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Reviews and prospects of human factors research on curve driving

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Journal of Traffic and Transportation Engineering(English Edition) 2023年第5期10卷 808-834页

作者： Lei Han Zhigang Du haoran zheng Fuqiang Xu Jialin Mei School of Transportation and Logistics Engineering Wuhan University of TechnologyWuhan 430063China Engineering Research Center of Transportation Information and Safety Ministry of EducationWuhan 430063China

In order to fully understand the research progress of human factors and traffic safety in curve driving,from the perspective of driver-vehicle-road-environment dynamic traffic system,this paper explored the current research status and development trend of human factors of curve driving,and displayed the development process and structural relationship of human factors research of curve driving by using scientific knowledge *** the core collection database of Web of Science,1408 English literatures related to human factors research of curve driving published from 2012 to 2022(as of October 1,2022)were obtained,and the literatures in this field were sorted and analyzed based on the VOSviewer visualization *** results show that China,Tongji University and Accident Analysis and Prevention are the country,institution and journal with the largest contribution rate in the field of human factors research on curve ***-citation analysis shows that the research contents in this field are divided into 5 clusters:driver’s visual characteristics,risk of collision,vehicle dynamics characteristics,the influence of traffic engineering facilities on driving behavior,selection of driving *** co-occurrence analysis of keywords shows that the topics of curve geometry design and vehicle dynamics,driving behavior and risk,driving speed and safety,behavior prediction and intervention measures are the current research hotspots in the research *** is found that the development trend of traffic safety improvement in curves is to construct a continuous,consistent,multi-level visual reference frame conforming to driving expectation through visual guiding technology,and summarizes the technical concept of linear visual *** study can provide a reference for the study of human factors of curve driving.

关键词： Traffic engineering Human factors Curve driving Bibliometric analysis Visualization VOSviewer

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Optimization Scheme of Integrated Community Energy Utilization System Based on Improved Sine-Cosine Algorithm

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Energy Engineering 2022年第3期119卷 1117-1140页

作者： Xin Zhang Jinpeng Jiang haoran zheng Jihong Zhang School of Information Engineering Inner Mongolia University of Science&TechnologyBaotou014010China

China consumes significant amount of natural gas in *** integrated community energy utilization system(ICEUS)cannot stabilize the output of electricity and heat if there is a shortage of natural *** operation cost of the system still needs *** energy supply structure using garbage power as the core of ICEUS was established in the *** optimal dispatchingmodel of ICEUS was established using the regulating characteristic of the community *** sine-cosine algorithm(SCA)based on nonlinear factors and segmented weight was presented to solve the optimal dispatching model of *** the simulation results,compared with particle swarm optimization algorithm(PSO),SCA,exponential sinecosine algorithm(ESCA),and parabolic sine-cosine algorithm(PSCA),the daily operation cost of ICEUS was reduced by the improved SCA by 4.4%,2.9%,2.6%and 4.1%,respectively,in *** same was true in *** daily system operating cost was effectively reduced by the algorithm proposed in the *** cost benefits of the optimized ICEUS operation was realized.

关键词： Multi-energy ICEUS SCA optimal dispatch PSO

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Early chatter identification based on optimized VMD with multi-band information fusion and compression method in robotic milling process

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Chinese Journal of Aeronautics 2024年第6期37卷 464-484页

作者： Sichen CHEN Zhiqiang LIANG Yuchao DU Zirui GAO haoran zheng Zhibing LIU Tianyang QIU Xibin WANG School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China

Undesirable self-excited chatter has always been a typical issue restricting the improvement of robotic milling quality and *** chatter identification based on processing signals can prompt operators to adjust the machining process and prevent chatter *** with the traditional machine tool,the uncertain multiple chatter frequency bands and the band-moving of the chatter frequency in robotic milling process make it more challenging to extract chatter *** paper proposes a novel method of chatter identification using optimized variational mode decomposition(OVMD)with multi-band information fusion and compression technology(MT).During the robotic milling process,the number of decomposed modes k and the penalty coefficient a are optimized based on the dominant component of frequency scope partition and fitness of the mode center ***,the mayfly optimization algorithm(MA)is employed to obtain the global optimal parameter *** order to conquer information collection about the uncertain multiple chatter frequency bands and the band-moving of the chatter frequency in robotic milling process,MT is presented to reduce computation and extract signal ***,the cross entropy of the image(CEI)is proposed as the final chatter indicator to identify the chatter *** robotic milling experiments are carried out to verify the proposed method,and the results show that it can distinguish the robotic milling condition by extracting the uncertain multiple chatter frequency bands and overcome the band-moving of the chatter frequency in robotic milling process.

关键词： Robotic milling Chatter detection Variational mode decomposition Information fusion and compression Chatter featur

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Tumor type classification and candidate cancer-specific biomarkers discovery via semi-supervised learning

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Biophysics Reports 2023年第2期9卷 57-66页

作者： Peng Chen Zhenlei Li Zhaolin Hong haoran zheng Rong Zeng School of Computer Science and Technology University of Science and Technology of China Anhui Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China 3. Department of Systems Biology University of Science and Technology of China 4. CAS Key Laboratory of Systems Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences School of Life Science and Technology ShanghaiTech University

Identifying cancer-related differentially expressed genes provides significant information for diagnosing tumors, predicting prognoses, and effective treatments. Recently, deep learning methods have been used to perform gene differential expression analysis using microarray-based high-throughput gene profiling and have achieved good results. In this study, we proposed a new robust multiple-datasetsbased semi-supervised learning model, MSSL, to perform tumor type classification and candidate cancer-specific biomarkers discovery across multiple tumor types and multiple datasets, which addressed the following long-lasting obstacles:(1) the data volume of the existing single dataset is not enough to fully exert the advantages of deep learning;(2) a large number of datasets from different research institutions cannot be effectively used due to inconsistent internal variances and low quality;(3) relatively uncommon cancers have limited effects on deep learning methods. In our article, we applied MSSL to The Cancer Genome Atlas(TCGA) and the Gene Expression Comprehensive Database(GEO) pan-cancer normalized-level3 RNA-seq data and got 97.6% final classification accuracy, which had a significant performance leap compared with previous approaches. Finally, we got the ranking of the importance of the corresponding genes for each cancer type based on classification results and validated that the top genes selected in this way were biologically meaningful for corresponding tumors and some of them had been used as biomarkers, which showed the efficacy of our method.

关键词： Deep learning Tumor type classification Cancer-specific biomarkers MSSL

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A statistical study on the correlation between sporadic Ca+layer and Es in Beijing(40.5°N,116°E)

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Earth and Planetary Physics 2024年第5期8卷 753-761页

作者： YuChang Xun ZhiShan Chen LiFang Du haoran zheng Jing Jiao ZeLong Wang ShaoHua Gong GuoTao Yang College of Physics College of Electronic Information and Optical EngineeringTaiyuan University of TechnologyTaiyuan 030024China State Key Laboratory of Space Weather National Space Science CenterChinese Academy of SciencesBeijing 100190China School of Science Jiangsu University of Science and TechnologyZhenjiang Jiangsu 212100China School of Physics and Electronics Engineering Hainan Normal UniversityHaikou 571158China

From April 2020 to June 2022,a Ca+lidar with dual-wavelength and narrow-band emitting lasers utilizing all-solid-state technology was employed to conduct observations in Beijing(40.41°N,116.01°E)for a total duration of 1797.79 hours over 280 nights.A total of 286 sporadic Ca+layers were observed,with heights ranging from 88 to 120 km and densities varying from 5.33 to 2200 cm^(-3).We simultaneously observed the ionosonde,located 28 km from the lidar,and found a correlation of 61.89%between the sporadic Ca+layer and the sporadic E *** the sporadic Ca+layer has a downward phase trend,there is a correlation of 76.84%.By excluding the influence of ionosonde sensitivity,we focus only on calcium ions that have a density exceeding 140 cm^(-3),which exhibit a correlation of82.25%.Above 100 km,the correlation significantly increases,reaching approximately 90%.Furthermore,the correlation between the sporadic Ca+layer and the sporadic E layer is particularly noticeable during the summer season,reaching around 90%.This phenomenon can be attributed to the variations in metal ions that occur during different seasons.

关键词： layer lidar exceeding

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Phase transferring luminescent gold nanoclusters via single-stranded DNA

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Science China Chemistry 2022年第6期65卷 1212-1220页

作者： Yu Li Hui Lu Zhibei Qu Mingqiang Li haoran zheng Peilin Gu Jiye Shi Jiang Li Qian Li Lihua Wang Jing Chen Chunhai Fan Jianlei Shen Division of Physical Biology CAS Key Laboratory of Interfacial Physics and TechnologyShanghai Institute of Applied PhysicsChinese Academy of SciencesShanghai201800China University of Chinese Academy of Sciences Beijing100049China School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative Molecules and National Center for Translational MedicineShanghai Jiao Tong UniversityShanghai200240China Shanghai Synchrotron Radiation Facility Zhangjiang LaboratoryShanghai Advanced Research InstituteChinese Academy of SciencesShanghai201210China Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai200127China

Atomically precise gold nanoclusters(Au NCs) are an emerging class of quantum-sized nanomaterials with discrete electronic energy levels, which has led to a range of attractive electronic and optical applications. Nevertheless, the lack of general methods to transfer Au NCs protected with hydrophobic ligands to an aqueous solution hampers their use in physiological settings. Here,we developed a single-stranded DNA-based approach that could transfer ~90% hydrophobic Au NCs into an aqueous *** experimentally and theoretically established that multivalent electrostatic and hydrophobic interactions between DNA strands and the hydrophobic ligand layer on Au NCs resulted in monodispersed DNA-coated Au NCs with high physical integrity in an aqueous solution. The fluorescence quantum yield of Au NCs was increased by ~13 fold, and surface-constrained DNA retained the specific recognition ability for biosensing. We further demonstrated the versatility of this phase-transfer approach, which thus holds great potential to advance biological and medical applications of Au NCs.

关键词： gold nanoclusters DNA monodispersed phase transfer biological application

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Plasma from healthy donors protects blood-brain barrier integrity via FGF21 and improves the recovery in a mouse model of cerebral ischaemia

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Stroke & Vascular Neurology 2021年第4期6卷 561-571,I0033-I0036页

作者： Muyassar Mamtilahun Lu Jiang Yaying Song Xiaojing Shi Chang Liu Yixu Jiang Lidong Deng haoran zheng Hui Shen Yongfang Li Zhijun Zhang Yongting Wang Yaohui Tang Guo-Yuan Yang Neuroscience and Neuroengineering Center Shanghai Jiao Tong University School of Biomedical EngineeringShanghaiChina Department of Neurology Shanghai Jiao Tong University Medical School Affiliated Ruijin HospitalShanghaiChina

Background Healthy plasma therapy reverses cognitive deficits and promotes neuroplasticity in ageing brain ***,whether healthy plasma therapy improve blood-brain barrier integrity after stroke remains *** Here,we intravenously injected healthy female mouse plasma into adult female ischaemic stroke C57BL/6 mouse induced by 90 min transient middle cerebral artery occlusion for eight consecutive *** volume,brain atrophy and neurobehavioural tests were examined to assess the outcomes of plasma *** apoptosis,blood-brain barrier integrity and fibroblast growth factor 21 knockout mice were used to explore the underlying *** Plasma injection improved neurobehavioural recovery and decreased infarct volume,brain oedema and atrophy after *** showed that the number of transferase dUTP nick end labelling+/NeuN+cells decreased in the plasma-injected ***,plasma injection reduced ZO-1,occluding and claudin-5 tight junction gap formation and IgG extravasation at 3 days after ischaemic *** blot results showed that the FGF21 expression increased in the plasma-injected ***,using FGF21 knockout mouse plasma injecting to the ischaemic wild-type mice diminished the neuroprotective *** Our study demonstrated that healthy adult plasma treatment protected the structural and functional integrity of blood-brain barrier,reduced neuronal apoptosis and improved functional recovery via FGF21,opening a new avenue for ischaemic stroke therapy.

关键词： cerebral injection barrier Plasma

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面向量化分块压缩感知的区域层次化预测编码

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北京航空航天大学学报 2022年第8期48卷 1376-1382页

作者：刘浩郑浩然黄荣东华大学信息科学与技术学院上海201620

在量化分块压缩感知的预测编码中,低参考价值的候选者将导致较差的率失真性能。为了高效地降低编码失真,提出了一种基于螺旋逐块扫描的区域层次化预测编码方法。在以同一采样率进行观测后,各块按由内向外的扫描次序进行预测与量化。当... 详细信息

在量化分块压缩感知的预测编码中,低参考价值的候选者将导致较差的率失真性能。为了高效地降低编码失真,提出了一种基于螺旋逐块扫描的区域层次化预测编码方法。在以同一采样率进行观测后,各块按由内向外的扫描次序进行预测与量化。当前观测矢量从上下文感知候选集中选取与之具有最小误差的反量化矢量,作为其预测矢量;根据层次相关性,所有块被划分到3种区域之一,通过块编码模型为不同区域设定自适应的质量因子,关键区域被赋予较大的质量因子。与现有的预测编码方法相比,所提方法综合利用了矢量之间的空域相关性和层次相关性,实验结果获得了至少0.12 dB的率失真增益。

关键词：量化分块压缩感知预测编码层次相关性关键区域质量因子

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Retention time-free using featured ion-guided stoichiometry enables peptide identification and quantification by data-independent acquisition

Retention time-free using featured ion-guided stoichiometry ...

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第三届全国系统生物学大会

作者： Da Ge Li Qingrun zheng haoran Zeng Rong

The data-independent acquisition(DIA) coupled to liquid chromatography-tandem mass spectrometry has become a mainstream proteomic acquisition ***,the current DIA data processing workflow,including chromatographic ion current preprocessing,elution peak construction,and chromatographic feature extraction,is complex and susceptible to errors under varying liquid chromatography conditions or retention time *** vulnerabilities can compromise peptide identification and quantification *** overcome these limitations,we propose a deep learning approach for direct peptide identification and quantification independent of chromatographic information(retention time free,RT-free).Methods:Unlike traditional DIA data processing methods that rely on chromatography,our method ignores chromatographic dimensions(retention time information) in peptide identification and *** data preprocessing involves the following steps:First,we need to preprocess the mass spectrometry data and the graph library *** mass spectrometry data is processed by merging peaks that are too close together,eliminating potential instrumentation *** graph library data is filtered to retain only the six highest-intensity ion ***,we must perform ion peak matching on the library and mass spectrometry *** the matching process,we need to ensure that the m/z of the peptide precursor is located in the range of the mass spectrometry data collection ***,we can exclude experimental spectra that cannot be matched with the target peptide precursor by setting ion peak matching *** data containing ion mobility information,we further screened the experimental spectra by setting ion mobility matching *** order to continue excluding experimental spectra with poor correlation,we calculate the similarity between each peptide precursor and the experimental spectra based on the information on ion peak *** sorting the expe

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