Advances in Space Research最新文献

{"title":"Investigating the spatiotemporal variations of GNSS precipitable water and characteristics during drought period based on the empirical Tm model in Yunnan, China","authors":"Jun Tang ,&nbsp;Yuxuan Cao ,&nbsp;Jiacheng Hu ,&nbsp;Wenjie Peng ,&nbsp;Chaoqian Xu ,&nbsp;Liang Zhang","doi":"10.1016/j.asr.2024.12.006","DOIUrl":"10.1016/j.asr.2024.12.006","url":null,"abstract":"<div><div>Precipitable water vapor (PWV) as an important parameter of atmospheric water vapor can be obtained through global navigation satellite system (GNSS), which offers high-precision observations in all-weather conditions. It is difficult for the current meteorological observing systems to measure PWV under extreme weather conditions. GNSS-derived PWV has high temporal and spatial resolutions, being a reliable and stable data source for meteorology. In this study, we establish an empirical model for the atmospheric weighted mean temperature (<span><math><mrow><msub><mi>T</mi><mi>m</mi></msub></mrow></math></span>) in Yunnan, China based on radiosonde data collected from 2020 to 2022. The model is verified by assessing its accuracy using measurements of four radiosondes in 2023. The results show that the empirical <span><math><mrow><msub><mi>T</mi><mi>m</mi></msub></mrow></math></span> model is more accurate compared to other widely used models such as GPT2w model, Li model, and Bevis model. The root mean square (RMS) of <span><math><mrow><msub><mi>T</mi><mi>m</mi></msub></mrow></math></span> obtained from the empirical models are 3.5 K, 2.3 K, 2.1 K and 2.1 K with average bias of −0.10 K, 0.22 K, 0.04 K, and 0.32 K, respectively. We use GNSS to obtain PWV and validate the GNSS-derived PWV using data from the radiosonde station in Kunming, Yunnan. The GNSS PWV is consistent with the PWV measured by the radiosondes. The RMS of the GNSS-PWV of the years 2020, 2021, and 2022 are 3 mm, 2.2 mm, and 2.9 mm, respectively, and the GNSS-PWV is confirmed to have a higher accuracy compared to others. Additionally, this study analyzes the spatiotemporal variations of GNSS PWV over Yunnan in 2021. The result shows that GNSS-derived PWV varies with geographic location and season and is significantly related to precipitation. Through the analysis of PWV during drought periods in 2021 and comparison with the same period in 2020 and 2022, we find that PWV is significantly lower in 2021 than in the same period of other years. Understanding the spatiotemporal distribution of PWV is crucial for meteorological monitoring and weather forecasting.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 3350-3361"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remotely sensed atmospheric anomalies of the 2022 Mw 7.0 Bantay, Philippines earthquake","authors":"Sohrab Khan ,&nbsp;Munawar Shah ,&nbsp;Punyawi Jamjareegulgarn ,&nbsp;Ahmed M. El-Sherbeeny ,&nbsp;Mostafa R. Abukhadra ,&nbsp;Majid Khan","doi":"10.1016/j.asr.2024.12.013","DOIUrl":"10.1016/j.asr.2024.12.013","url":null,"abstract":"<div><div>Remote sensing satellites have emerged as invaluable tools for surveilling natural disasters with more inevitable insights at various altitudes in atmosphere for various precursors. Moreover, the methods and satellite data before and after any event need more understanding for predicting the main shock due to the complexity of precursors. This study involves data from multiple sensors to assess how atmospheric parameters change in space and time over the Mw 7.0 Bantay, Philippines epicenter. The methods of statistical analysis, Nonlinear Autoregressive Network with Exogenous Inputs (NARX), and Multilayer Perceptron (MLP) are applied to various atmospheric parameters, including Land Surface Temperature (LST), Air Temperature (AT), Relative Humidity (RH), and Outgoing Longwave Radiation (OLR) to identify abnormal atmospheric patterns associated with earthquakes (EQ). These analyses focus on 3–5 days before the earthquake day. For this purpose, we trained daily average indices of atmospheric parameters for the month leading up to and the 15 days following the main shock. Since variations are irregular, detection can be challenging with classical statistics; therefore, we leveraged supervised machine learning to detect anomalies promptly and minimize the chances of missed detection. Thus, these findings support the lithosphere-atmosphere–ionosphere coupling (LAIC) hypothesis and suggest the need for further investigation in future research.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 3692-3704"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid startup of hydroxyethylhydrazinium nitrate ionic monopropellant thruster using rotating arc plasma jet","authors":"Ju Won Kim,&nbsp;Hongjae Kang","doi":"10.1016/j.asr.2024.12.007","DOIUrl":"10.1016/j.asr.2024.12.007","url":null,"abstract":"<div><div>In this study, a thruster was developed by integrating a plasma reactor upstream of a catalyst bed and utilizing a plasma-arc jet to preheat the catalyst bed within 30 s. A plasma-assisted monopropellant thruster was designed for high-performance ionic monopropellants that require catalyst preheating. Hydroxyethylhydrazinium nitrate was selected as the monopropellant because of its easy synthesis and low adiabatic combustion temperature, which allow the use of conventional materials. Nitrogen or air (10 SLPM) was used as the plasma discharge gas, with a 20 kHz AC power supply generating plasma by passing 0.7 A current through the discharge gas. The Ru/LaAl₂O₃ catalyst bed was preheated using a plasma-arc jet with both nitrogen and air, reaching 763 K within 30 s. Subsequently, the propellant tank was pressurized to 0.4 MPa and 0.7 MPa to verify propellant decomposition under low and high mass flow rate conditions. The results confirmed the propellant decomposition under both nitrogen and air discharge conditions. This study demonstrates that the developed plasma-assisted monopropellant thruster offers a novel method for operating thrusters with high mass flow rates (&gt; 1 g/s) during emergencies.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 3982-3993"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Minimum hop path model for LEO mega constellation networks with inter-layer satellite links: A theoretical analytic approach","authors":"Zijian Wang ,&nbsp;Zhongcheng Mu ,&nbsp;Hang Zhou ,&nbsp;Shufan Wu ,&nbsp;Yixin Huang ,&nbsp;Keke Zhang","doi":"10.1016/j.asr.2024.12.017","DOIUrl":"10.1016/j.asr.2024.12.017","url":null,"abstract":"<div><div>Low Earth orbit (LEO) Mega-constellation networks (MCNs) with inter-satellite links (ISLs) are of great importance in terms of broadband communications. Compared to single-layer MCNs, multi-layer MCNs with inter-layer links (ILLs) bring better throughput and invulnerability at the cost of increased routing complexity. In this paper, for the first time, a theoretical analytic approach based on the non–homogeneous Poisson distribution is proposed to estimate the hop count between any two ground users for dual-layer MCNs with different ILL densities. Meanwhile, it is demonstrated that the establishment of ILLs reflects the dynamic features of ”small world” networks, which implies that introducing a small percentage of random connections to a regular network can significantly decrease the network diameter and the average shortest path length. Additionally, the uneven spatial distribution of hop count reduction is clarified. Results demonstrate that the implementation of ILLs effectively contributes to diminishing hop count. Remarkably, a mere 6% of ILLs leads to a substantial reduction of 22.3% in hop count for Starlink. These findings are helpful to the comprehension of constellation topological properties and provide valuable guidance for routing design and the deployment of ISLs.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 3994-4012"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"False star filtering and camera motion estimation via density-based clustering","authors":"Erdem Onur Ozyurt,&nbsp;Alim Rustem Aslan","doi":"10.1016/j.asr.2024.12.038","DOIUrl":"10.1016/j.asr.2024.12.038","url":null,"abstract":"<div><div>Star sensors serve as sophisticated instruments for determining spacecraft attitude, offering high accuracy to meet complicated scientific demands. However, their accuracy can be compromised by various sources of noise in the captured image, such as false stars arising from reflective objects or solar flares. Filtering out these false stars is essential for enhancing accuracy and reducing computational complexity. This study introduces an algorithm designed to identify and filter false stars while also estimating camera motion parameters, thus improving attitude determination performance. The algorithm operates by detecting isomorphic feature vectors via density-based clustering that is employed to discern false stars. Moreover, the variance in slope angles of true star pairs facilitates the derivation of an affine transformation matrix through a maximum likelihood estimator. It is a standalone algorithm that can be integrated into any star identification method to increase robustness to false stars while providing motion parameters to be used in recursive star identification algorithms to reduce complexity. The algorithm’s effectiveness is evaluated through experiments on 1000 pairs of time-sequential simulated star images, in which the sensor parameters are taken from the SharjahSat-1 project, while also taking position and brightness noise effects into account.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 4035-4049"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of land subsidence in Guangdong Province, China, using PS-InSAR technique","authors":"Liangke Huang ,&nbsp;Peijie Zhu ,&nbsp;Tengxu Zhang ,&nbsp;Lin He ,&nbsp;Wenhao Wu ,&nbsp;Zixuan Ge ,&nbsp;Hui Ai","doi":"10.1016/j.asr.2024.12.034","DOIUrl":"10.1016/j.asr.2024.12.034","url":null,"abstract":"<div><div>Ground subsidence is a natural disaster that can cause severe consequences such as surface deformation and building collapse. With rapid economic growth, activities such as groundwater extraction, subway construction, and large-scale infrastructure projects have weakened the soil’s load-bearing capacity, resulting in subsidence issues for buildings and the ground. As the mechanism of land subsidence caused by the above factors is still unclear, it is necessary to conduct further study in a specific area. Intending to provide a scientific basis for successfully preventing and mitigating the potential risks associated with subsidence, we employed the Persistent Scatterer InSAR (PS-InSAR) technique for monitoring to precisely explore the causes, processes, and impacts of the subsidence. In this study, 14 Sentinel-1A terrain observations by progressive scans (TOPS) Synthetic Aperture Radar (SAR) images from January to December 2020 have been selected to investigate the spatiotemporal ground deformation in the specific Guangzhou and Foshan regions. Various analytical methods have been employed to investigate the significant deformation mechanism. Firstly, we analyzed characteristic points in industrial parks and urban areas. Subsequently, detailed investigations were conducted in three severely subsiding areas: Huadu, Nanhai, and Haizhu districts. Results demonstrate that the region’s surface deformation is highly heterogeneous; subsidence is primarily concentrated in urban areas and usually spreads outward from city centers. Additionally, numerous uplift regions were identified, with the maximum uplift rate exceeding 29 mm/yr. In particular, the highest rates of subsidence were found in Guangzhou’s Haizhu District, with annual average rates ranging from −28.3 mm/yr to −29.4 mm/yr, and significant seasonal fluctuations of nonlinear subsidence patterns have also been detected. Furthermore, comparative analysis of factors such as urban development (e.g., subway systems and artificial structures), rainfall, and industrial expansion in major subsidence areas indicates that subsidence in this region is primarily influenced by anthropogenic factors (such as industrial development and surface loading) as well as natural factors like rainfall and karst processes.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 3507-3520"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An integrated approach for gully erosion susceptibility mapping and factor effect analysis","authors":"Jingge Liu ,&nbsp;Alireza Arabameri ,&nbsp;Chandan Surabhi Das ,&nbsp;Pritam Sarkar","doi":"10.1016/j.asr.2024.12.021","DOIUrl":"10.1016/j.asr.2024.12.021","url":null,"abstract":"<div><div>Gully erosion is one of the major global environmental threats that frequently affects semi-humid to arid Mediterranean regions and contributes to a wide range of ecological problems. Recognizing vulnerable areas to gully erosion and creating a comprehensive gully erosion susceptibility map (GESM) can assist in the lessening of land degradation and damage to numerous infrastructures. The primary goal of this research is to build a random subspace-based function tree (RSFT), i.e., an ensemble model, and compare it with other<!--> <!-->standard models such as Fisher’s linear discriminant analysis (FLDA), Nave Bayes tree (NBTree), J48 Decision Tree, and random forest (RF) models in order to identify which model generates the most accurate outcomes. Overall, a total number of<!--> <!-->489 gully sites were utilised for modelling and validation purpose, with 377 (70 %) used for modelling and 112 (30 %) used for validation. Fourteen salient gully erosion conditioning factors (GECFs) were implemented for constructing the GESMs. The efficacy and significance of several GECFs were assessed through the random forest, or RF, model for gully erosion modelling. Using the GES maps, we computed the success rate curve (SRC) and prediction rate curve (PRC), as well as their areas under the curves (AUC). The AUC (SRC, PRC) scores for the RSFT model were 0.906 and 0.916, consequently, while the outcomes for the RF, NBTree, FLDA, and J48 models were 0.875 and 0.869, 0.861 and 0.859, 0.792 and 0.816, and 0.779 and 0.811. AUC findings indicated that the RSFT model delivered the most precise predictions, trailed by the RF, NBTree, FLDA, and J48 models. In terms of RMSE, each of the models performed adequately; however, RSFT exhibits the lowest RMSE values of all models, with 0.31 (training dataset) and 0.29 (validation dataset), which shows that RSFT is substantially more accurate than other models in forecasting gully erosionThus, the results of this research can be used by local managers and planners for environmental management. The results from our study suggests that all of the GESM models have high efficiency, and can be employed to formulate adequate measures for safeguarding of soil and water.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 3451-3470"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of offsets on GNSS time series stochastic noise properties and velocity estimation","authors":"Jiahui Huang ,&nbsp;Xiaoxing He ,&nbsp;Shunqiang Hu ,&nbsp;Feng Ming","doi":"10.1016/j.asr.2024.12.016","DOIUrl":"10.1016/j.asr.2024.12.016","url":null,"abstract":"<div><div>This study systematically investigates the efficiency of RMLE and MLE algorithms for noise model identification using various information criteria and examines the influence of offsets on noise properties and velocity estimation. Through experimental analysis on simulated GNSS time series, we confirm that RMLE and MLE accurately discriminate among four different noise models using AIC, BIC, and BIC_tp information criteria. For time series longer than 15 years, RMLE is recommended as the default method, while MLE outperforms RMLE for short time series when the underlying noise model is FN, PL, or GGM. RMLE proves more sensitive to the RW component than the MLE algorithm, particularly with shorter time series (less than 10 years). We also confirm that the addition of offsets does not transform non-GGM optimal noise models into GGM noise models, further supporting that GGM noise models in GNSS time series are not an artifact and that residual offsets are not the underlying cause of GNSS position time series exhibiting GGMWN characteristics. For selected real GNSS time series without offsets from Extended Solid Earth Science ESDR System, we further confirm that PLWN and FNWN remain the primary noise processes best describing GNSS time series. A noteworthy discovery is the observation of more RW components (approximately 19.22 %) than in previous research with 15-year long-term GNSS time series using the RMLE algorithm. Additionally, we still find GGM as the optimal noise model in the vertical component, ensuring it is real and not an artifact. Furthermore, even with artificially induced frequent offsets, we observe that only about 0.35 % of sites’ optimal noise models change from non-GGMWN models to GGMWN, consistent with the simulated GNSS time series experiments.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 3397-3413"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First observational investigation on the temporal trends of Vertical Total Electron Content (VTEC) over an equatorial station: Discerning the impacts of Mora and Ockhi – Two tropical cyclones in 2017","authors":"Swati Chowdhury,&nbsp;D. Bala Subrahamanyam,&nbsp;R.K. Choudhary","doi":"10.1016/j.asr.2024.11.078","DOIUrl":"10.1016/j.asr.2024.11.078","url":null,"abstract":"<div><div>This study examines the impact of two tropical cyclones (Mora and Ockhi, 2017) over the Northern Indian Ocean on vertical total electron content (VTEC) over Trivandrum, by comparing data from similar periods in 2018 and 2019. To ensure accuracy, a precise data-screening method was implemented to exclude the potential effects of geomagnetic storms and other tropical cyclones on VTEC. Results showed a significant depletion in VTEC, ranging from 7% to 19%, which varied based on the intensity of the cyclones and their distance from the measurement site. The period analyzed coincided with the declining phase of the 24th solar cycle, during which VTEC naturally decreased from 2017 to 2019. The present analysis reports a sharp depletion in the VTEC during the passage of the cyclone, the first of its kind, emphasizing the TC-influence on the upper atmosphere, which was seen to extend even after the landfall.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 3651-3660"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An image simulator of lunar far-side impact flashes captured from the Earth-Moon L2 point","authors":"Da Song ,&nbsp;Hong-bo Cai ,&nbsp;Shen Wang ,&nbsp;Jing Wang","doi":"10.1016/j.asr.2024.12.002","DOIUrl":"10.1016/j.asr.2024.12.002","url":null,"abstract":"<div><div>Impact flashes on the moon are caused by high-speed collisions of celestial bodies with the lunar surface. The study of the impacts is critical for exploring the evolutionary history and formation of the Moon, and for quantifying the risk posed by the impacts to future human activity. Although the impacts have been monitored from the Earth by a few projects in past 20 years, the events occurring on the lunar far side have not been explored systematically so far. We here present an end-to-end image simulator dedicated to detecting and monitoring the impacts from space, which is useful for future mission design. The simulator is designed for modularity and developed in the Python environment, which is mainly composed of four components: the flash temporal radiation, the background emission, the telescope and the detector used to collect and measure the radiation. Briefly speaking, with a set of input parameters, the simulator calculates the flash radiation in the context of the spherical droplet model and the background emission from the lunar surface. The resulting images are then generated by the simulator after considering a series observational effects, including the stray light, transmission of the instrument, point spread function and multiple kinds of noise caused by a CCD/CMOS detector. The simulator is validated by comparing the calculation with the observations taken on the ground. The modular design enables the simulator to be improved and enhanced by including more complex physical models in the future, and to be flexible for other future space missions.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 4061-4079"},"PeriodicalIF":2.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}