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The ALMA-QUARKS Survey.Ⅱ.The ACA 1.3 mm Continuum Source Catalog and the Assembly of Dense Gas in Massive Star-Forming Clumps

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Research in Astronomy and Astrophysics 2024年第6期24卷 119-139页

作者：许峰玮 Ke Wang Tie Liu Lei Zhu Guido Garay Xunchuan Liu Paul Goldsmith Qizhou Zhang Patricio Sanhueza Shengli Qin Jinhua He Mika Juvela Anandmayee Tej Hongli Liu Shanghuo Li Kaho Morii Siju Zhang Jianwen Zhou Amelia Stutz neal JEvans Kee-Tae Kim Shengyuan Liu Diego Mardones Guangxing Li Leonardo Bronfman Ken’ichi Tatematsu Chang Won Lee Xing Lu Xiaofeng Mai Sihan Jiao James O.Chibueze Keyun Su Viktor L.Tóth Kavli Institute for Astronomy and Astrophysics Peking UniversityBeijing 100871China Department of Astronomy School of PhysicsPeking UniversityBeijing 100871China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China Chinese Academy of Sciences South America Center for Astronomy National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China Departamento de Astronomía Universidad de ChileLas Condes7591245 SantiagoChile Jet Propulsion Laboratory California Institute of Technology4800 Oak Grove DrivePasadena CA 91109USA Center for Astrophysics|Harvard&Smithsonian 60 Garden StreetCambridgeMA 02138USA National Astronomical Observatory of Japan National Institutes of Natural Sciences2-21-1 OsawaMitakaTokyo 181-8588Japan Astronomical Science Program The Graduate University for Advanced StudiesSOKENDAI2-21-1 OsawaMitakaTokyo 181-8588Japan School of Physics and Astronomy Yunnan UniversityKunming 650091China Yunnan Observatories Chinese Academy of SciencesKunming 650216China Department of Physics University of HelsinkiPO Box 64FI-00014 HelsinkiFinland Indian Institute of Space Science and Technology Thiruvananthapuram 695547KeralaIndia Max Planck Institute for Astronomy Königstuhl 17D-69117 HeidelbergGermany Department of Astronomy Graduate School of ScienceThe University of Tokyo7-3-1 HongoBunkyo-kuTokyo 113-0033Japan Max-Planck-Institut für Radioastronomie Auf dem Hügel 6953121 BonnGermany Departamento de AstronomÂıa Universidad de ConcepcionCasilla 160-CConcepci onChile Department of Astronomy The University of Texas at AustinTexas 78712-1205USA Korea Astronomy and Space Science Institute 776 Daedeokdae-roYuseong-guDaejeon 34055Republic of Korea Institute of Astronomy and Astrophysics Academia SinicaRoosevelt RoadTaipei 10617TaiwanChina South-Western Institute for Astronomy Research Yunnan UniversityKunming 650091China Korea Astronomy and Space Science Institute 776 Daedeok-daeroYuseong-guDaejeon 34055Republic of

Leveraging the high resolution,sensitivity,and wide frequency coverage of the Atacama Large Millimeter/submillimeter Array(ALMA),the QUARKS survey,standing for“Querying Underlying mechanisms of massive star formation with ALMA-Resolved gas Kinematics and Structures”,is observing 139 massive starforming clumps at ALMA Band 6(λ~1.3 mm).This paper introduces the Atacama Compact Array(ACA)7 m data of the QUARKS survey,describing the ACA observations and data *** multiwavelength data,we provide the first edition of QUARKS atlas,offering insights into the multiscale and multiphase interstellar medium in high-mass star *** ACA 1.3 mm catalog includes 207 continuum sources that are called ACA *** gas kinetic temperatures are estimated using three formaldehyde transitions with a non-LTE radiation transfer model,and the mass and density are derived from a dust emission *** ACA sources are massive(16–84 percentile values of 6–160 M_(⊙)),gravity-dominated(M∝R^(1.1))fragments within massive clumps,with supersonic turbulence(M>1)and embedded star-forming *** find a linear correlation between the masses of the fragments and the massive clumps,with a ratio of 6%between the *** considering fragments as representative of dense gas,the ratio indicates a dense gas fraction(DGF)of 6%,although with a wide scatter ranging from 1%to 10%.If we consider the QUARKS massive clumps to be what is observed at various scales,then the size-independent DGF indicates a self-similar fragmentation or collapsing mode in protocluster *** the ACA data over four orders of magnitude of luminosity-to-mass ratio(L/M),we find that the DGF increases significantly with L/M,which indicates clump evolutionary *** observed a limited fragmentation at the subclump scale,which can be explained by a dynamic global collapse process.

关键词： stars:formation ISM:kinematics and dynamics ISM:clouds stars:protostars

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Video Recognition for Analyzing the Characteristics of Vehicle–Bicycle Conflict

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Computers, Materials & Continua 2021年第11期69卷 2779-2791页

作者： Xingjian Xue Zixu Wang Linjuan Ge Lirong Deng Rui Song neal Naixue Xiong College of Logistics and Traffic Central South University of Forestry and TechnologyChangsha410004HunanChina Department of Mathematics and Computer Science Northeastern State UniversityTahlequah74464OKUnited States

Vehicle–bicycle conflict incurs a higher risk of traffic accidents,particularly as it frequently takes place at *** the traffic characteristics of vehicle–bicycle conflict and optimizing the design of intersections can effectively reduce such *** this paper,the conflict between right-turning motor vehicles and straight-riding bicycles was taken as the research object,and T-Analyst video recognition technology was used to obtain data on riding(driving)behavior and vehicle–bicycle conflict at seven intersections in Changsha,***,eight typical traffic characteristics of vehicle–bicycle conflict are summarized,the causes of vehicle–bicycle conflict are analyzed using 18 factors in three dimensions,the internal relationship between intersection design factors and traffic conflicts is explored,and the guiding of design optimization based on the width of bicycle lanes and the soft separation between vehicles and bicycles is *** results showed that colored paved bicycle lanes were better,performing better at a width of 2.5 m compared to 1.5 ***,the colored pavement was not suitable for the entire road and had to be set at the position,at which the trajectories of a bicycle and motor vehicle ***,a 2.5-m-wide bicycle lane provides good ***,there are still defects in the existing safety indicators,so it is necessary to develop new indicators to reflect real vehicle–bicycle conflict situations more comprehensively.

关键词： Vehicle-bicycle conflict video recognition technology bicycle lane width vehicle-bicycle separation method

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Characteristics of vertical distributions of methane and dimethylsulphoniopropionate in the southern Yap Trench

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Journal of Oceanology and Limnology 2023年第6期41卷 2101-2116页

作者： Yuhuan HUANG Chengjun SUN Lina Lü neal Xiangyu DING Liangmin YU Guipeng YANG Haibing DING Frontier Science Center for Deep Ocean Multispheres and Earth System and Key Laboratory of Marine Chemistry Theory and TechnologyMinistry of EducationOcean University of ChinaQingdao 266100China Marine Ecology and Environmental Science Laboratory Laoshan Laboratory(Qingdao)Qingdao 266237China Marine Bioresource and Environment Research Center the First Institute of OceanographyMinistry of Natural ResourcesQingdao 266061China College of Chemistry and Chemical Engineering Ocean University of ChinaQingdao 266100China Key Laboratory of Tropical Marine Bio-resources and Ecology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China College of Agriculture and Life Sciences Cornell UniversityIthacaNY 14853USA

Methane(CH_(4) )and dimethylsulphoniopropionate(DMSP)are major carbon and sulfur sources for bacterioplankton in the *** investigated the characteristics of CH_(4) and DMSP in the southern Yap Trench from sea surface to hadal zone in June *** found that concentrations of CH_(4) varied from 1.5 to 4.5 nmol/L with saturation between 94% and 204% in the euphotic *** of dissolved DMSP(DMSPd)ranged from 0.5 to 3.7 nmol/L with higher values in surface water and decreased with *** of particulate DMSP(DMSPp)varied from 0 to 13.6 nmol/*** of total DMSP(DMSPt)ranged 2.0-15.2 nmol/*** concentrations decreased slightly and reached consistent levels in 200-3000-m depth due probably to heterotrophic bacterial production in marine aphotic and high-pressure *** exception occurred around 4000-m depth where their concentrations increased considerably and then decreased in deeper *** previously unrecognized phenomenon sheds light on the elevated concentrations of DMSP in the abyssal layer that might be affected by the Lower Circumpolar Deep Water(LCPW).Concentrations of CH_(4) in seawater of the Benthic Boundary Layer of the southern Yap Trench were slightly higher than those in the water column at approximate depth,and concentrations of DMSP in seawater of the Benthic Boundary Layer of the southern Yap Trench were not much higher than those in the water column at the approximate depth,indicating that sediment was a weak source of CH_(4) but was not a source of DMSP for seawater in the study *** study presented clear correlations between CH_(4) and DMSP from sea surface to sea bottom,proving that DMSP might be a potential substrate for CH_(4) not only in oxic surface seawater but also in deep water.

关键词： methane dimethylsulphoniopropionate(DMSP) hadal zone Jiaolong submersible Yap Trench oceanic methane paradox

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Image Recognition of Citrus Diseases Based on Deep Learning

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Computers, Materials & Continua 2021年第1期66卷 457-466页

作者： Zongshuai Liu Xuyu Xiang Jiaohua Qin Yun Tan Qin Zhang neal N.Xiong Central South University of Forestry and Technology Changsha410004China School of Information Technology and Management Hunan University of Finance and EconomicsChangsha410205China Department of Mathematics and Computer Science Northeastern State UniversityTahlequahOK74464USA

In recent years,with the development of machine learning and deep learning,it is possible to identify and even control crop diseases by using electronic devices instead of manual *** this paper,an image recognition method of citrus diseases based on deep learning is *** built a citrus image dataset including six common citrus *** deep learning network is used to train and learn these images,which can effectively identify and classify crop *** the experiment,we use MobileNetV2 model as the primary network and compare it with other network models in the aspect of speed,model size,*** show that our method reduces the prediction time consumption and model size while keeping a good classification ***,we discuss the significance of using MobileNetV2 to identify and classify agricultural diseases in mobile terminal,and put forward relevant suggestions.

关键词： Deep learning image classification citrus diseases agriculture science and technology

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Safety Analysis of Riding at Intersection Entrance Using Video Recognition Technology

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Computers, Materials & Continua 2022年第9期72卷 5135-5148页

作者： Xingjian Xue Linjuan Ge Longxin Zeng Weiran Li Rui Song neal N.Xiong College of Landscape Architecture Central South University of Forestry and TechnologyChangshaHunan410004China College of Logistics and Transportation Central South University of Forestry and TechnologyChangshaHunan410004China Department of Mathematics and Computer Science Northeastern State UniversityTahlequahOK74464United States

To study riding safety at intersection entrance,video recognition technology is used to build vehicle-bicycle conflict models based on the Bayesian *** is analyzed the relationship among the width of nonmotorized lanes at the entrance lane of the intersection,the vehicle-bicycle soft isolation form of the entrance lane of intersection,the traffic volume of right-turning motor vehicles and straight-going non-motor vehicles,the speed of right-turning motor vehicles,and straight-going non-motor vehicles,and the conflict between right-turning motor vehicles and straight-going nonmotor *** to the traditional statistical methods,to overcome the discreteness of vehicle-bicycle conflict data and the differences of influencing factors,the Bayesian random effect Poisson-log-normal model and random effect negative binomial regression model are *** results show that the random effect Poisson-log-normal model is better than the negative binomial distribution of random effects;The width of non-motorized lanes,the form of vehicle-bicycle soft isolation,the traffic volume of right-turning motor vehicles,and the coefficients of straight traffic volume obey a normal *** them,the type of vehicle-bicycle soft isolation facilities and the vehicle-bicycle traffic volumes are significantly positively correlated with the number of vehicle-bicycle *** width of non-motorized lanes is significantly negatively correlated with the number of vehicle-bicycle *** periods and flat periods,the average speed of right-turning motor vehicles,and the average speed of straight-going non-motor vehicles have no significant influence on the number of vehicle-bicycle conflicts.

关键词： Video recognition technology vehicle-bicycle conflict intersection entrance random effect poisson-log-normal model random effect negative binomial regression model

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News Text Topic Clustering Optimized Method Based on TF-IDF Algorithm on Spark

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Computers, Materials & Continua 2020年第1期62卷 217-231页

作者： Zhuo Zhou Jiaohua Qin Xuyu Xiang Yun Tan Qiang Liu neal N.Xiong College of Computer Science and Information Technology Central South University of Forestry&TechnologyChangsha410114China Department of Mathematics and Computer Science Northeastern State UniversityOK74464USA

Due to the slow processing speed of text topic clustering in stand-alone architecture under the background of big data,this paper takes news text as the research object and proposes LDA text topic clustering algorithm based on Spark big data *** the TF-IDF(term frequency-inverse document frequency)algorithm under Spark is irreversible to word mapping,the mapped words indexes cannot be traced back to the original *** this paper,an optimized method is proposed that TF-IDF under Spark to ensure the text words can be ***,the text feature is extracted by the TF-IDF algorithm combined CountVectorizer proposed in this paper,and then the features are inputted to the LDA(Latent Dirichlet Allocation)topic model for ***,the text topic clustering is *** results show that for large data samples,the processing speed of LDA topic model clustering has been improved based *** the same time,compared with the LDA topic model based on word frequency input,the model proposed in this paper has a reduction of perplexity.

关键词： News text topic clustering spark platform countvectorizer algorithm TF-IDF algorithm latent dirichlet allocation model

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A Fully Convolutional Neural Network-based Regression Approach for Effective Chemical Composition Analysis Using Near-infrared Spectroscopy in Cloud

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Journal of Artificial Intelligence and Technology 2021年第1期1卷 74-82页

作者： Daiyu Jiang Gang Hu Guanqiu Qi neal Mazur College of Automation Chongqing University of Posts and TelecommunicationsChongqing 400065China Computer Information Systems Department State University of New York at Buffalo StateBuffaloNY 14222 USA

As one chemical composition,nicotine content has an important influence on the quality of tobacco *** and nondestructive quantitative analysis of nicotine is an important task in the tobacco ***-infrared(NIR)spectroscopy as an effective chemical composition analysis technique has been widely *** this paper,we propose a one-dimensional fully convolutional network(1D-FCN)model to quantitatively analyze the nicotine composition of tobacco leaves using NIR spectroscopy data in a cloud *** 1D-FCN model uses one-dimensional convolution layers to directly extract the complex features from sequential spectroscopy *** consists of five convolutional layers and two full connection layers with the max-pooling layer replaced by a convolutional layer to avoid information *** computing techniques are used to solve the increasing requests of large-size data analysis and implement data sharing and *** results show that the proposed 1D-FCN model can effectively extract the complex characteristics inside the spectrum and more accurately predict the nicotine volumes in tobacco leaves than other *** research provides a deep learning foundation for quantitative analysis of NIR spectral data in the tobacco industry.

关键词： nicotine tobacco leaves near-infrared spectroscopy fully convolutional network cloud computing

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Switchgrass sward establishment selection is consistent across multiple environments and fertilization levels

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Grassland Research 2022年第4期1卷 252-261页

作者： neal W.Tilhou Michael D.Casler Department of Agronomy University of WisconsinMadisonWisconsinUSA USDA-ARS US Dairy Forage Research CenterMadisonWisconsinUSA

Background Strong selection can occur during switchgrass sward *** in establishment selection due to environment or management could provide information on genotype-by-environment variation and could influence strategies for breeding perennial *** Leaf samples were collected before sward establishment and from 3-year-old swards for two breeding groups(lowland and hybrid)at three *** two locations,samples were collected from paired fertilized(112 kg N ha−1)and unfertilized *** frequencies from pooled DNA samples were studied through multivariate analysis of variance,genomewide trait predictions(heading date and winter survivorship),and genomically estimated breeding values(GEBVs)for individual sward survival within an independent data *** This study found only minor variations in selection due to location or *** heading dates of the hybrid population had significant changes due to fertilization and *** were strong correlations among sward establishment survival GEBVs between growing environments(hybrid r=0.77;gulf r=0.97).Interestingly,this study found a small number of genotypes that were over-represented in established swards across all growing environments.

关键词： genomic prediction grassland establishment Panicum virgatum polygenic traits selection

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Deep Neural Network-based Speaker-Aware Information Logging for Augmentative and Alternative Communication

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Journal of Artificial Intelligence and Technology 2021年第2期1卷 138-143页

作者： Gang Hu Szu-Han Kay Chen neal Mazur Department of Computer Information State University of New York Buffalo StateBuffaloNY 14222 USA Department of Communication Disorders and Sciences State University of New YorkFredoniaNY 14063 USA

People with complex communication needs can use a high-technology augmentative and alternative communication device to communicate with ***,researchers and clinicians often use data logging from high-tech augmentative and alternative communication devices to analyze augmentative and alternative communication user ***,existing automated data logging systems cannot differentiate the authorship of the data log when more than one user accesses the *** issue reduces the validity of the data logs and increases the difficulties of performance ***,this paper presents a solution using a deep neural network-based visual analysis approach to process videos to detect different augmentative and alternative communication users in practice *** approach has significant potential to improve the validity of data logs and ultimately to enhance augmentative and alternative communication outcome measures.

关键词： augmentative and alternative communication(AAC) outcome measures visual logs hand tracking deep learning

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Prediction of impedance responses of protonic ceramic cells using artificial neural network tuned with the distribution of relaxation times

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Journal of Energy Chemistry 2023年第3期78卷 582-588,I0016页

作者： Xuhao Liu Zilin Yan Junwei Wu Jake Huang Yifeng Zheng neal PSullivan Ryan O'Hayre Zheng Zhong Zehua Pan School of Science Harbin Institute of TechnologyShenzhen 518055GuangdongChina School of Materials Engineering Harbin Institute of TechnologyShenzhen 518055GuangdongChina Department of Metallurgical and Materials Engineering Colorado School of Mines1500 Illinois St.Golden 80401ColoradoUSA College of Materials Science and Engineering Nanjing Tech UniversityNo.30 Puzhu Road(S)Nanjing 211816JiangsuChina Department of Mechanical Engineering Colorado School of Mines1500 Illinois St.Golden 80401ColoradoUSA

A deep-learning-based framework is proposed to predict the impedance response and underlying electrochemical behavior of the reversible protonic ceramic cell(PCC) across a wide variety of different operating *** impedance spectra(EIS) of PCCs were first acquired under a variety of opera ting conditions to provide a dataset containing 36 sets of EIS spectra for the *** artificial neural network(ANN) was then trained to model the relationship between the cell operating condition and EIS ***,ANN model-predicted EIS spectra were analyzed by the distribution of relaxation times(DRT) and compared to DRT spectra obtained from the experimental EIS data,enabling an assessment of the accumulative errors from the predicted EIS data vs the predicted *** show that in certain cases,although the R^(2)of the predicted EIS curve may be> 0.98,the R^(2)of the predicted DRT may be as low as~*** can lead to an inaccurate ANN prediction of the underlying time-resolved electrochemical response,although the apparent accuracy as evaluated from the EIS prediction may seem *** adjustment of the parameters of the ANN framework,the average R^(2)of the DRTs derived from the predicted EIS can be improved to ***,we demonstrate that a properly tuned ANN model can be used as an effective tool to predict not only the EIS,but also the DRT of complex electrochemical systems.

关键词： Protonic ceramic fuel cell/electrolysis cell Electrochemical impedance spectroscopy Distribution of relaxation times Artiﬁcial neural network

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