OCEANS 2009最新文献

{"title":"Preprocessor based on suprathreshold stochastic resonance for improved bearing estimation in shallow ocean","authors":"V. N. Hari, G. V. Anand, A. Premkumar, A. Madhukumar","doi":"10.23919/OCEANS.2009.5422099","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422099","url":null,"abstract":"Localization of acoustic sources in the ocean is a problem of tremendous interest in underwater acoustics. One of the many factors that limit the performance of processors used for underwater acoustic source localization is the low signal — to -noise ratio (SNR) in the ocean. Preprocessors based on wavelet denoising and suprathreshold stochastic resonance (SSR) have been proposed in the literature for enhancing SNR and thereby improving the performance of processors used for bearing estimation [1,2]. Denoising techniques based on SSR exploit the fact that the environmental noise in shallow ocean has a heavy -tailed non- Gaussian distribution [3]. In this paper, a method for designing an SSR based preprocessor is presented. It is shown that the use of this preprocessor leads to a significant improvement in the bearing — estimation performance of Bartlett, Multiple Signal Classification (MUSIC) and Subspace Intersection Method (SIM) [4] processors at low SNR. The improved performance appears in the form of a sharper peak in the ambiguity function, lower bias and lower RMS error in bearing estimation, and better resolution of closely spaced sources.","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131393558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"REMUS subbottom image processing for integration into ArcGIS","authors":"D. W. Green, D. Young, D. Walter","doi":"10.23919/OCEANS.2009.5422368","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422368","url":null,"abstract":"The Naval Océanographie Office collects subbottom acoustic data using the Remote Environmental Monitoring Units (REMUS) Autonomous Underwater Vehicle (AUV). The subbottom data are processed using customized playback software that creates a subbottom profile image that can be integrated into ArcGIS 9.2. A REMUS AUV test survey was recently completed that obtained quality subbottom profiler data that were used to demonstrate this image integration approach. Recent improvements in the processing software developed at the Naval Research Laboratory (NRL) have been used to decrease the time and effort required to efficiently utilize and integrate the subbottom profile imagery into the ArcGIS 9.2 product. This new software allows multiple subbottom images to be easily added to the ArcGIS 9.2 project while at sea, providing a more complete representation of the REMUS survey. The efficient integration of the subbottom imagery into an ArcGIS 9.2 project is a significant step in providing a more improved product.","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"127 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124307780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NASA satellite monitoring of water clarity in Mobile Bay for nutrient criteria development","authors":"S. Błoński, K. Holekamp, B. Spiering","doi":"10.23919/OCEANS.2009.5422080","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422080","url":null,"abstract":"Water clarity controls the loss of sunlight reaching the underwater habitats. Because many organisms living in estuarine and coastal waters rely on photosynthesis, water clarity needs to be incorporated into protective water quality standards for these valued ecosystems. To develop the protective standards, a better understanding of causes and effects of water clarity variability at local and regional scales is needed. To that end, NASA remote sensing data are being used to monitor water clarity (measured by light attenuation) and the constituents that decrease water clarity (chlorophyll a, total suspended solids, and colored dissolved organic matter) in the estuarine and coastal systems of the northern Gulf of Mexico. The NASA measurements are intended to augment and extend temporal and spatial coverage of water clarity monitoring conducted by the Federal and State environmental agencies in the same areas. The main objective is to develop a methodology for and to demonstrate the feasibility of producing long-term (1984 to present) time series of the water clarity parameters based on combined satellite measurements from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments deployed on the Aqua and Terra spacecraft and from the Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) instruments from the Landsat 4/5 and Landsat 7 spacecraft, respectively. Aqua and Terra MODIS provide daily coverage dating from 2000, while Landsat TM/ETM+ data extend back to 1984, although with frequency of only once per 8 to 16 days. NASA Earth science research results that improved instrument calibration and data processing techniques have enabled merging the time series of observations from Landsat and MODIS. Algorithms for the retrieval of water clarity parameters from satellite data selected for this project are based on the inherent optical properties of water: absorption and scattering of light. The algorithms are refined based on comparison with field data collected during water quality monitoring in Mobile Bay, Alabama. Results of this project will support future interagency collaborative efforts to develop numeric nutrient criteria for estuarine and coastal waters in the Gulf of Mexico and will contribute to addressing the Gulf of Mexico Alliance priority issue of reducing nutrient inputs to coastal ecosystems.","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129633004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition","authors":"N. Josso, J.J. Zhang, A. Papandreou-Suppappolat, C. Ioana, J. Mars, C. Gervaise, Y. Stéphan","doi":"10.23919/OCEANS.2009.5422228","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422228","url":null,"abstract":"We investigate a characterization of underwater acoustic signals using extracted time-scale features of the propagation channel model for medium-to-high frequency range. The underwater environment over these frequencies causes multipath and Doppler scale changes on the transmitted signal. This is the result of the time-varying nature of the channel and also due to the relative motion between the transmitter-channel-receiver configuration. As a sparse model is essential for processing applications and for practical use in simulations, we employ the matching pursuit decomposition algorithm to estimate the channel time delay and Doppler scale change model attributes for each propagating path. The proposed signal characterization was validated for sparse channel profiles using real-time data from the BASE07 experiment.","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114391735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Watershed and hydrodynamic modeling for evaluating the impact of land use change on submerged aquatic vegetation and seagrasses in Mobile Bay","authors":"M. Estes, M. Al-Hamdan, R. Thom, D. Quattrochi, D. Woodruff, C. Judd, J. Ellis, B. Watson, H. Rodriguez, H. Johnson","doi":"10.23919/OCEANS.2009.5422399","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422399","url":null,"abstract":"There is a continued need to understand how human activities along the northern Gulf of Mexico coast are impacting the natural ecosystems. The gulf coast is experiencing rapid population growth and associated land cover/land use change. Mobile Bay, AL is a designated pilot region of the Gulf of Mexico Alliance (GOMA) and is the focus area of many current NASA and NOAA studies, for example. This is a critical region, both ecologically and economically to the entire United States because it has the fourth largest freshwater inflow in the continental USA, is a vital nursery habitat for commercially and recreational important fisheries, and houses a working waterfront and port that is expanding. Watershed and hydrodynamic modeling has been performed for Mobile Bay to evaluate the impact of land use change in Mobile and Baldwin counties on the aquatic ecosystem. Watershed modeling using the Loading Simulation Package in C++ (LSPC) was performed for all watersheds contiguous to Mobile Bay for land use Scenarios in 1948, 1992, 2001, and 2030. The Prescott Spatial Growth Model was used to project the 2030 land use scenario based on observed trends. All land use scenarios were developed to a common land classification system developed by merging the 1992 and 2001 National Land Cover Data (NLCD). The LSPC model output provides changes in flow, temperature, sediments and general water quality for 22 discharge points into the Bay. These results were inputted in the Environmental Fluid Dynamics Computer Code (EFDC) hydrodynamic model to generate data on changes in temperature, salinity, and sediment concentrations on a grid with four vertical profiles throughout the Bay's aquatic ecosystems. The models were calibrated using in-situ data collected at sampling stations in and around Mobile bay. This phase of the project has focused on sediment modeling because of its significant influence on light attenuation which is a critical factor in the health of submerged aquatic vegetation. The impact of land use change on sediment concentrations was evaluated by analyzing the LSPC and EFDC sediment simulations for the four land use scenarios. Such analysis was also performed for storm and non-storm periods. In- situ data of total suspended sediments (TSS) and light attenuation were used to develop a regression model to estimate light attenuation from TSS. This regression model was used to derive marine light attenuation estimates throughout Mobile bay using the EFDC TSS outputs.","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121790565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring phenology as indicator for timing of nutrient inputs in northern gulf watersheds","authors":"K. Ross, B. Spiering, Maria Kalcic","doi":"10.23919/OCEANS.2009.5422234","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422234","url":null,"abstract":"Nutrient over-enrichment-defined by the U.S. Environmental Protection Agency as the anthropogenic addition of nutrients, in addition to any natural processes, causing adverse effects or impairments to the beneficial uses of a water body-has been identified as one of the most significant environmental problems facing sensitive estuaries and coastal waters. Understanding the timing of nutrient inputs into those waters through remote sensing observables helps define monitoring and mitigation strategies. Remotely sensed data products can trace both forcings and effects of the nutrient system from landscape to estuary. This project is focused on extracting nutrient information from the landscape. The timing of nutrients entering coastal waters from the land boundary is greatly influenced by hydrologic processes, but can also be affected by the timing of nutrient additions across the landscape through natural or anthropogenic means. Non-point source nutrient additions to watersheds are often associated with specific seasonal cycles, such as decomposition of organic materials in fall and winter or addition of fertilizers to crop lands in the spring. These seasonal cycles or phenology may in turn be observed through the use of satellite sensors. Characterization of the phenology of various land cover types may be of particular interest in Gulf of Mexico estuarine systems with relatively short pathways between intensively managed systems and the land/estuarine boundary. The objective of this study is to demonstrate the capability of monitoring phenology of specific classes of land, such as agriculture and managed timberlands, at a refined watershed level. The extraction of phenological information from the Moderate Resolution Imaging Spectroradiometer (MODIS) data record is accomplished using analytical tools developed for NASA at Stennis Space Center: the Time Series Product Tool and the Phenological Parameters Estimation Tool. MODIS reflectance data (product MOD09) were used to compute the Normalized Difference Vegetation Index, which is sensitive to changes in vegetation canopies. The project team is working directly with the Mississippi Department of Environmental Quality to understand end-user requirements for this type of information product. Initial focus areas are identification of time frames for “pre-plant” fertilizer applications (prior to start of season), “side-dress” fertilizer applications (during rapid green-up), and periods of plant decomposition (during and after senescence). Prototypical maps of phenological stages related to these time frames have been generated for watersheds in the northern Gulf of Mexico. Where feasible, these maps have been compared to existing in situ nutrient monitoring data, but the in situ data is temporally sparse (monthly frequency or less), which makes interpretation challenging. Future work will include integrating effects of rainfall and seeking couplings with estuarine remote sensing.","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126282910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coastal online analysis and synthesis tool 2.0 (COAST)","authors":"Richard B. Brown, Andrew R. Navard, Beth T. Nguyen","doi":"10.23919/OCEANS.2009.5422062","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422062","url":null,"abstract":"The Coastal Online Assessment and Synthesis Tool (COAST) geobrowser has been developed at NASA Stennis Space Center (SSC) for integration of previously disparate coastal datasets from NASA and other sources into a common desktop client tool. COAST will provide insightful new data visualization and analysis capabilities for the coastal researcher. COAST is built upon the NASA open source 3D geobrowser, World Wind, developed at the NASA Ames Research Center. COAST also integrated some of the value-added modifications and enhancements from the NASA Marshall Space Flight Center version of World Wind, SERVIR-Viz. COAST is being developed to maximize use of open source data access, viewing, and data manipulation software tools, creating a low-cost, widely installable base for potential users. Feedback from preliminary reviewers has led to more robust understanding of the data integration and visual analytic challenges and of the potential solutions that COAST can offer to the broader user community. Improved mode of functionality for these users will lead to a more refined methodology for implementation of COAST as an effective tool for a range of potential users varying from researcher to investigator to potential decision maker. Development of the Temporal Visualization Tool (TVT) plugin for COAST was begun in the 2007 Integrated Approach to Monitoring Hypoxia in the Northern Gulf of Mexico project. The origin of this time-based animated data overlay tool is the Naval Research Laboratory Monterey Weather plugin, which is still distributed with the present World Wind 1.4 package. Modifications to the TVT tool have been targeted to provide users the capability to connect to and map/integrate disparate datasets, located locally and online, into project sessions. The TVT allows direct data listing of accessible raster datasets, subsequent multi-select, temporally animated image overlays in the COAST browser, and transparency control over the animated layer within COAST via a slider mechanism. The development of the Recursive Online Remote Data — Data Mapper (RECORD-DM) utility was driven by the need for an ability to map and add online remote image-product datasets to the TVT plugin's list of available images as needed. The RECORD-DM tool allows a user to map the current state, structure, and location of online raster data available for viewing in TVT. It also allows geographic position information to be attached and creates an XML file map of the data for immediate use in the TVT as either static or temporally animated overlays in the current COAST session. The Import Data Tool provides the ability to quickly add image and vector datasets in a COAST session without having to be a geospatial or image processing expert. The envisioned COAST end user community can vary from seasoned research scientists wanting to integrate decision model output into their sessions all the way to coastal community managers wanting to review local, state, and federal data pr","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114687703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring coastal marshes for persistent saltwater intrusion","authors":"M. Kalcic, C. Hall, J. Russell, R. Fletcher","doi":"10.23919/OCEANS.2009.5422076","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422076","url":null,"abstract":"Saltwater flooding of coastal marshes by storm surge, rising sea level, and subsidence is a primary cause of wetland deterioration and habitat loss. The objective of this study is to provide resource managers with remote sensing products that support ecosystem-forecasting models requiring inundation data. This investigation employed time-series indices derived from 250-meter NASA Moderate Resolution Imaging Spectroradiometer (MODIS) and 30-m Landsat imagery to map flooding and saltwater stress in the Sabine Basin in southwest Louisiana, before and after Hurricane Rita in 2005. After nearly 20 feet of storm surge inundated the area during Hurricane Rita, Hurricane Ike produced a storm surge of almost 14 feet in the same area and flooded areas as far as 30 miles inland. The study design of this investigation centered upon the use of vegetation and wetness (water) indicators to map flooded areas. The study team assigned a vegetation index to marsh areas of concomitant vegetation and water. We derived daily MODIS time series of Normalized Difference Vegetation Index, Normalized Difference Water Index, and Normalized Difference Soil Index from the NASA Stennis Space Center Time Series Product Tool, which provides the capability to compute phenological parameters and performs temporal modeling at ecosystem scales. We estimated the extent of flooding as the percentage of time the MODIS index was water; i.e., below a certain threshold. The percentages indicate areas of persistent flooding over certain time intervals, thereby informing planners of areas with a high probability of conversion to open water. The study team used Landsat 5 and 7 data for the years 2004 through 2006 to produce an 8-day time series of vegetation and wetness indices. We evaluated these Landsat-based flood maps with lidar data and in situ elevation data collected by the U.S. Geological Survey (ÜSGS) and Louisiana Department of Natural Resources Coastwide Reference Monitoring System for the Sabine Basin. Finally, we combined salinity data collected in situ from the USGS and from the National Oceanic and Atmospheric Administration with our flooding estimates to map areas of persistent saltwater intrusion. The combination of these data are useful for habitat switching modules that predict the migration of marsh species from one salinity regime to another from estimates of the annual percent inundation and the mean annual salinity.","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132562436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward AUV survey design for optimal coverage and localization using the Cramer Rao Lower Bound","authors":"Ayoung Kim, R. Eustice","doi":"10.23919/OCEANS.2009.5422219","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422219","url":null,"abstract":"This paper discusses an approach to using the Cramer Rao Lower Bound (CRLB) as a trajectory design tool for autonomous underwater vehicle (AUV) visual navigation. We begin with a discussion of Fisher Information as a measure of the lower bound of uncertainty in a simultaneous localization and mapping (SLAM) pose-graph. Treating the AUV trajectory as an non-random parameter, the Fisher information is calculated from the CRLB derivation, and depends only upon path geometry and sensor noise. The effect of the trajectory design parameters are evaluated by calculating the CRLB with different parameter sets. Next, optimal survey parameters are selected to improve the overall coverage rate while maintaining an acceptable level of localization precision for a fixed number of pose samples. The utility of the CRLB as a design tool in pre-planning an AUV survey is demonstrated using a synthetic data set for a boustrophedon survey. In this demonstration, we compare the CRLB of the improved survey plan with that of an actual previous hull-inspection survey plan of the USS Saratoga. Survey optimality is evaluated by measuring the overall coverage area and CRLB localization precision for a fixed number of nodes in the graph. We also examine how to exploit prior knowledge of environmental feature distribution in the survey plan.","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116080977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward a complete system for surveillance of the whole EEZ: ScanMaris and associated projects","authors":"Florent Jangal, Jean-Pierre George, A. Bonnot, Marie-Annick Giraud, M. Morel, Aldo Napoli, A. Littaye","doi":"10.23919/OCEANS.2009.5422120","DOIUrl":"https://doi.org/10.23919/OCEANS.2009.5422120","url":null,"abstract":"There is currently an undeniable increase of maritime goods exchanges. As a consequence, maritime threats and risks are also rising. Innovative solution has to be developed to improve the security of this huge economic activity. Future generation of maritime surveillance system should allow: permanent and all weather coverage of maritime border areas, continuous collection of heterogeneous data provided by various sources, automatic detection of abnormal vessel behaviors, understanding of suspicious events, and early identification of threats. No equipment and information system deployments are at present able to answer all these requirements. We propose here an integrated system with relevant innovative technologies and capacities. The integrated system includes existing conventional and innovative sensors networks as well as new functionalities to track vessel movements and activities or detect abnormal vessel behaviors. The proposed high level engineering architecture is able to generate documented alarms using abnormal events. Those events are extracted from our intelligent maritime traffic picture. Thus, we aim to validate an end to end surveillance chain for future operational sea border surveillance.","PeriodicalId":119977,"journal":{"name":"OCEANS 2009","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126848279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}