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Machine learning based on metabolomics unveils neutrophil extracellular trap-related metabolic signatures in non-small cell lung cancer patients undergoing chemoimmunotherapy

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World Journal of Clinical Cases 2024年第20期12卷 4091-4107页

作者： Yu-Ning Li Jia-Lin Su Shu-Hua Tan Xing-Long Chen Tian-Li Cheng Zhou Jiang Yong-Zhong Luo Le-Meng Zhang School of Life and Health Sciences Hunan University of Science and TechnologyXiangtan 411201Hunan ProvinceChina Department of Thoracic Medicine Hunan Cancer HospitalChangsha 410013Hunan ProvinceChina

BACKGROUND Non-small cell lung cancer(NSCLC)is the primary form of lung cancer,and the combination of chemotherapy with immunotherapy offers promising treatment options for patients suffering from this ***,the emergence of drug resistance significantly limits the effectiveness of these therapeutic ***,it is imperative to devise methods for accurately detecting and evaluating the efficacy of these *** To identify the metabolic signatures associated with neutrophil extracellular traps(NETs)and chemoimmunotherapy efficacy in NSCLC *** In total,159 NSCLC patients undergoing first-line chemoimmunotherapy were *** first investigated the characteristics influencing clinical *** levels of NETs and cytokines were measured by commercial *** chromatography tandem mass spectrometry quantified plasma metabolites,and differential metabolites were *** absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest algorithms were *** using plasma metabolic profiles and machine learning algorithms,predictive metabolic signatures were *** First,the levels of circulating interleukin-8,neutrophil-to-lymphocyte ratio,and NETs were closely related to poor efficacy of first-line *** were classed into a low NET group or a high NET group.A total of 54 differential plasma metabolites were *** metabolites were primarily involved in arachidonic acid and purine *** key metabolites were identified as crucial variables,including 8,9-epoxyeicosatrienoic acid,L-malate,and bis(monoacylglycerol)phosphate(18:1/16:0).Using metabolomic sequencing data and machine learning methods,key metabolic signatures were screened to predict NET level as well as chemoimmunotherapy *** The identified metabolic signatures may effectively distinguish NET levels and predict clinical

关键词： Non-small cell lung cancer Chemoimmunotherapy Neutrophil extracellular traps Metabolomics Machine learning

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Overview of the development history of China’s typhoon research and operational work in the past century

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Science China Earth Sciences 2020年第3期63卷 362-383页

作者： Xiaotu LEI Shanghai Typhoon Institute of China meteorological Administration Shanghai meteorological bureau

Because typhoons are one of the most major natural disasters in the southeastern coastal areas of China,great attention has been paid to the prevention and mitigation of the disasters caused by *** the past century,significant progress has been made in typhoon-related scientific research and operational work in China,including the construction of a network of typhoon monitoring stations,the establishment of forecasting operation systems,early warning and prevention of typhoon-related disasters,and the research of basic theories of typhoon behaviors and key forecasting *** paper briefly reviews the milestones in the development history of typhoon research in China over the past century and a half in order to commemorate the predecessors,especially those who made historical contributions to the advancement of typhoon research since the economic and cultural reforms known as the"Opening of China",who provided historical references which enabled China to become an international leader in the field of typhoon science and technology.

关键词： Typhoon Scientific research and operations Development history Review

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A Novel 3D Gait Model for Subject Identification Robust against Carrying and Dressing Variations

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Computers, Materials & Continua 2024年第7期80卷 235-261页

作者： Jian Luo Bo Xu Tardi Tjahjadi Jian Yi College of Information Science and Engineering Hunan Normal UniversityChangsha410000China School of Engineering University of WarwickCoventryCV47ALUK

Subject identification via the subject’s gait is challenging due to variations in the subject’s carrying and dressing conditions in real-life *** paper proposes a novel targeted 3-dimensional(3D)gait model(3DGait)represented by a set of interpretable 3DGait descriptors based on a 3D parametric body *** 3DGait descriptors are utilised as invariant gait features in the 3DGait recognition method to address object carrying and *** 3DGait recognitionmethod involves 2-dimensional(2D)to 3DGaitdata learningbasedon3Dvirtual samples,a semantic gait parameter estimation Long Short Time Memory(LSTM)network(3D-SGPE-LSTM),a feature fusion deep model based on a multi-set canonical correlation analysis,and SoftMax recognition ***,a sensory experiment based on 3D body shape and pose deformation with 3D virtual dressing is used to fit 3DGait onto the given 2D gait images.3Dinterpretable semantic parameters control the 3D morphing and dressing *** degree measurement determines the semantic descriptors of 2D gait images of subjects with various shapes,poses and ***,using the 2D gait images as input and the subjects’corresponding 3D semantic descriptors as output,an end-to-end 3D-SGPE-LSTM is constructed and ***,body shape,pose and external gait factors(3D-eFactors)are estimated using the 3D-SGPE-LSTM model to create a set of interpretable gait descriptors to represent the 3DGait Model,i.e.,3D intrinsic semantic shape descriptor(3DShape);3D skeleton-based gait pose descriptor(3D-Pose)and 3D dressing with other ***,the 3D-Shape and 3D-Pose descriptors are coupled to a unified pattern space by learning prior knowledge from the *** research on CASIA B,CMU MoBo,TUM GAID and GPJATK databases shows that 3DGait is robust against object carrying and dressing variations,especially under multi-cross variations.

关键词： Gait recognition human identification three-dimensional gait canonical correlation analysis

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Statistical Characteristics of Raindrop Size Distribution in the Tibetan Plateau and Southern China

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Advances in Atmospheric Sciences 2017年第6期34卷 727-736页

作者： Yahao WU Liping LIU State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing 100081 China China hunan meteorological bureau Changsha 410007 China

The characteristics of raindrop size distribution （DSD） over the Tibetan Plateau and southern China are studied in this paper, using the DSD data from April to August 2014 collected by HSC-PS32 disdrometers in Nagqu and Yangjiang, com- prising a total of 9430 and 63661-rain raindrop spectra, respectively. The raindrop spectra, characteristics of parameter variations with rainfall rate, and the relationships between reflectivity factor （Z） and rainfall rate （R） are analyzed, as well as their DSD changes with precipitation type and rainfall rate. The results show that the average raindrop spectra appear to be one-peak curves, the number concentration for larger drops increase significantly with rainfall rate, and its value over southern China is much higher, especially in convective rain larger drops, especially for convective rain in southern China. Standardized Gamma distributions better describe DSD for All three Gamma parameters for stratiform precipitation over the Tibetan Plateau are much higher, while its shape parameter （,u） and mass-weighted mean diameter （Dm）, for convective precipitation, are less. In terms of parameter variation with rainfall rate, the normalized intercept parameter （Nw） over the Tibetan Plateau for stratiform rain increases with rainfall rate, which is opposite to the situation in convective rain. The/1 over the Tibetan Plateau for stratiform and convective precipitation types decreases with an increase in rainfall rate, which is opposite to the case for Dm variation. In Z-R relationships, like ＂Z = ARb＇＇, the coefficient A over the Tibetan Plateau is smaller, while its b is higher, when the rain type transfers from stratiform to convective ones. Furthermore, with an increase in rainfall rate, parameters A and b over southern China increase gradually, while A over the Tibetan Plateau decreases sub- stantially, which differs from the findings of previous studies. In terms of geographic location and climate over the Tibetan Plateau and sou

关键词： Tibetan Plateau raindrop size distribution precipitation classification standardized gamma distribution

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Numerical Study on the Impact of Ground Heating and Ambient Wind Speed on Flow Fields in Street Canyons

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Advances in Atmospheric Sciences 2012年第6期29卷 1227-1237页

作者：李磊杨琳张立杰江崟 Shenzhen National Climate Observatory Meteorological Bureau of Shenzhen Municipality Shenzhen meteorological Service Center Meteorological Bureau of Shenzhen Municipality

The impact of ground heating on flow fields in street canyons under different ambient wind speed conditions was studied based on numerical methods. A series of numerical tests were performed, and three factors including height-to-width （H/W） ratio, ambient wind speed and ground heating intensity were taken into account. Three types of street canyon with H/W ratios of 0.5, 1.0 and 2.0, respectively, were used in the simulation and seven speed values ranging from 0.0 to 3.0 m s-1 were set for the ambient wind speed. The ground heating intensity, which was defined as the difference b-ween the ground temperature and air temperature, ranged from 10 to 40 K with an increase of 10 K in the tests. The results showed that under calm conditions, ground heating could induce circulation with a wind speed of around 1.0 m s-i, which is enough to disperse pollutants in a street canyon. It was also found that an ambient wind speed threshold may exist for street canyons with a fixed H/W ratio. When ambient wind speed was lower than the threshold identified in this study, the impact of the thermal effect on the flow field was obvious, and there existed a multi-vortex flow pattern in the street canyon. When the ambient wind speed was higher than the threshold, the circulation pattern was basically determined by dynamic effects. The tests on the impact of heating intensity showed that a higher ground heating intensity could strengthen the vortical flow within the street canyon, which would help improve pollutant diffusion capability in street canyons.

关键词： street canyon thermal effect ambient wind ground heating intensity computational fluid dynamics (CFD)

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Short communication:Extreme glacier mass loss triggered by high temperature and drought during hydrological year 2022/2023 in Qilian Mountains

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Research in Cold and Arid Regions 2024年第1期16卷 1-4页

作者： JiZu Chen XingYu Xue WenTao Du State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and ResourcesChinese Academy of Sciences(CAS)LanzhouGansu 730000China Gansu Provincial Industry Technology Center of Intelligent Equipment and Big Data for Disaster Prevention Northwest Institute of Eco-Environment and ResourcesChinese Academy of Science(CAS)LanzhouGansu 730000China Zhangye meteorological bureau ZhangyeGansu 734000China College of Resources and Environment University of Chinese Academy of Sciences(UCAS)Beijing 100049China

In the hydrological year 2022/2023,the glaciers in the Qilian Mountains experienced unprecedented mass *** glacier-wide mass balance was-1,188 mm w.e.,in contrast to-350 mm of average mass balance since 1990 over the Bailanghe Glacier No.12 in the middle of Qilian *** temperature during 2022–2023 reached the highest value ever recorded,second only to 2022,while at the same time the precipitation amount was less compared to other year since 2000,which together led to the strongest glacier mass loss during 2022–*** atmospheric circulation analysis shows that the high temperature in the Qilian Mountains in 2023 was jointly caused by the Arctic air mass and East Asian monsoon.

关键词： Bailanghe Glacier No.21 Glacier mass loss Extreme high temperature Atmospheric circulation

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The combined influence of background climate and urbanization on the regional warming in Southeast China

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Journal of Geographical Sciences 2012年第2期22卷 245-260页

作者： SI Peng REN Yu LIANG Dongpo LIN Bingwen Tianjin meteorological Information Center Tianjin Meteorological Bureau Tianjin 300074 China Tianjin Climate Center Tianjin Meteorological Bureau Tianjin 300074 China Xiamen meteorological bureau Xiamen 361100 Fujian China

Based on China homogenized land surface air temperature and the National Centers for Environmental Prediction/Department of Energy （NCEP/DOE） Atmospheric Model Intercomparison Project （AMIP）- Ⅱ Reanalysis data （R-2）, the main contributors to surface air temperature increase in Southeast China were investigated by comparing trends of urban and rural temperature series, as well as observed and R-2 data, covering two periods of 1954-2005 and 1979-2005. Results from urban-rural comparison indicate that urban heat island （UHI） effects on regional annual and autumn minimum temperature increases account for 10.5% and 12.0% since 1954, but with smaller warming attribution of 6.2% and 10.6% since 1979. The results by comparing observations with R-2 surface temperature data suggest that land use change accounts for 32.9% and 28.8% in regional annual and autumn minimum temperature increases since 1979. Accordingly, the influence of land use change on regional temperature increase in Southeast China is much more noticeable during the last 30 years. However, it indicates that UHI effect, overwhelmed by the warming change of background climate, does not play a significant role in regional warming over Southeast China during the last 50 years.

关键词： Southeast China urban heat island land use climate warming contributor

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Urdnet:A Cryo-EM Particle Automatic Picking Method

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Computers, Materials & Continua 2022年第7期72卷 1593-1610页

作者： Jianquan Ouyang Yue Zhang Kun Fang Tianming Liu Xiangyu Pan School of Computer Science&School of Cyberspace Science Xiangtan UniversityXiangtan411105China hunan meteorological Information Center Hunan Meteorological BureauChangshaHunan410118China Department of Computer Science The University of GeorgiaAthensGeorgiaUSA

Cryo-Electron Microscopy(Cryo-EM)images are characterized by the low signal-to-noise ratio,low contrast,serious background noise,more impurities,less data,difficult data labeling,simpler image semantics,and relatively fixed structure,while U-Net obtains low resolution when downsampling rate information to complete object category recognition,obtains highresolution information during upsampling to complete precise segmentation and positioning,fills in the underlying information through skip connection to improve the accuracy of image segmentation,and has advantages in biological image processing like Cryo-EM *** article proposes A U-Net based residual intensive neural network(Urdnet),which combines point-level and pixel-level tags,used to accurately and automatically locate particles from cryo-electron microscopy images,and solve the bottleneck that cryo-EM Single-particle biologicalmacromolecule reconstruction requires tens of thousands of automatically picked *** 80S ribosome,HCN1 channel and TcdA1 toxin subunits,and other public protein datasets have been trained and tested on *** experimental results show that Urdnet could reach the same excellent particle picking performances as the mainstream methods of RELION,DeepPicker,and acquire the 3Dstructure of picked particleswith higher resolution.

关键词： Deep learning convolutional neural network particle picking cryo-electron microscopy single-particle reconstruction

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Understanding Simulated Causes of Damaging Surface Winds in a Derecho-Producing Mesoscale Convective System near the East China Coast Based on Convection-Permitting Simulations

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Advances in Atmospheric Sciences 2024年第11期 2112-2130页

作者： Liping LUO Ming XUE Xin XU Lijuan LI Qiang ZHANG Ziqi FAN College of Civil Aviation Nanjing University of Aeronautics and Astronautics State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Key Laboratory of Mesoscale Severe Weather/Ministry of Education and School of Atmospheric Sciences Nanjing University Center for Analysis and Prediction of Storms and School of Meteorology University of Oklahoma Civil Aviation North China Air Traffic Management bureau meteorological Center

A mesoscale convective system（MCS） occurred over the East China coastal provinces and the East China Sea on 30April 2021, producing damaging surface winds near the coastal city Nantong with observed speeds reaching 45 m s–1. A simulation using the Weather Research and Forecasting model with a 1.5-km grid spacing generally reproduces the development and subsequent organization of this convective system into an MCS, with an eastward protruding bow segment over the sea. In the simulation, an east-west-oriented high wind swath is generated behind the gust front of the MCS. Descending dry rear-to-front inflows behind the bow and trailing gust front are found to feed the downdrafts in the main precipitation regions. The inflows help to establish spreading cold outflows and enhance the downdrafts through evaporative cooling. Meanwhile, front-to-rear inflows from the south are present, associated with severely rearward-tilted updrafts initially forming over the gust front. Such inflows descend behind（north of） the gust front, significantly enhancing downdrafts and near-surface winds within the cold pool. Consistently, calculated trajectories show that these parcels that contribute to the derecho originate primarily from the region ahead（south） of the east-west-oriented gust front, and dry southwesterly flows in the low-to-middle levels contribute to strong downdrafts within the MCS. Moreover, momentum budget analyses reveal that a large westward-directed horizontal pressure gradient force within the simulated cold pool produced rapid flow acceleration towards Nantong. The analyses enrich the understanding of damaging wind characteristics over coastal East China and will prove helpful to operational forecasters.

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Two-year measurements of surface ozone at Dangxiong,a remote highland site in the Tibetan Plateau

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Journal of Environmental Sciences 2015年第5期27卷 133-145页

作者： Weili Lin Xiaobin Xu Xiangdong Zheng Jaxi Dawa Ciren Baima Jin Ma Centre for Atmosphere Watch & Services Meteorological Observation Centre China Meteorological Administration Key Laboratory for Atmospheric Chemistry Chinese Academy of Meteorological Sciences Dangxiong meteorological bureau Lhasa meteorological bureau Department of Atmospheric and Oceanic Sciences McGill University

Measurements of surface O3 and carbon monoxide（CO） were made from September 2009 to August 2011 at Dangxiong（30.48°N, 91.10°E, 4187 m a.s.l.）, a remote highland site in a southern valley of the Nyainqêntanglha Mountains in the Tibetan Plateau, China. The monthly mean O3 mixing ratio ranged from 29.1 to 51.4 ppb, with an average of 38.5 ppb, and the maximum value was observed in May. The average diurnal cycle of O3 concentration showed a minimum in early morning and a maximum in the afternoon, with a broader ＂high platform＂ from the late morning to the late afternoon, and resembled that of surface wind speed. The concentration of surface O3 was highly significantly correlated with tropospheric column O3 over the regions surrounding Dangxiong and with that of surface O3 observed at a site north of the Nyainqêntanglha Mountains, suggesting a good regional representativeness of surface O3 at Dangxiong. In the afternoon when stronger winds blew, surface air showed distinct features of free-atmospheric air, with higher O3, lower CO, and lower relative humidity（RH）. The negative O3-CO and O3-RH correlations in most months indicate a significant influence of air masses from the free troposphere. Trajectory analysis suggests that air masses originating from the south of the site make a negative net contribution to surface O3 and a positive contribution to CO and humidity, and those from the northwest sector contribute conversely to the respective quantities.

关键词： Surface ozone Tibetan Plateau Impact of transport and vertical mixing

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