Regional Studies in Marine Science最新文献

{"title":"Marine microplastic pollution in Peninsular Malaysia: A meta-analysis","authors":"Pengqi Gao ,&nbsp;Demus Matheus Huang ,&nbsp;Weihong Hu ,&nbsp;Weijian Chen ,&nbsp;Widad Fadhullah ,&nbsp;Akbar John","doi":"10.1016/j.rsma.2025.104228","DOIUrl":"10.1016/j.rsma.2025.104228","url":null,"abstract":"<div><div>Marine microplastic pollution has recently become a serious environmental issue in Peninsular Malaysia. The overall overview of these marine microplastics in both western (Strait of Malacca) and eastern coastal waters (South China Sea) of the peninsula remains obscure due to the restricted spatio-temporal coverage of previous relevant studies within those areas. This study presents the analyses of most recent spatial distribution of marine microplastics in both coastal waters of Peninsular Malaysia in terms of their abundance, shape, color, size, polymer type, and pollution load index (<em>PLI)</em> by implementing meta-analysis. Overall, varying distribution of marine microplastics across both coastal waters of the peninsula was revealed. Mean marine microplastic abundance and <em>PLI</em> in the western coastal waters (41.592 particles/L; <em>PLI</em> = 997.80) were higher than the eastern counterpart (0.715 particles/L; <em>PLI</em> = 12.91), which corresponds to higher marine microplastic pollution induced by intensive anthropogenic activities in several high-developed states within the peninsula. Fragment-shaped (38.62 %) and film-shaped microplastics (37.46 %) were predominant in western coastal waters, whereas it was fiber-shaped microplastics (84.25 %) in the eastern counterpart. In terms of color, size, and polymer type distributions, transparent-, black-, and white-colored microplastics; microplastics with sizes of 500–1000 μm; and polyethylene- and polypropylene-based microplastics were the most prevalent in both coastal waters. The sources and transportation of marine microplastics in both coastal waters are mainly driven by a complex combination of dynamic forces, geographical conditions, microplastic properties, food chain and anthropogenic activities. Stringent implementation of plastic waste management policies is thus vital to address the marine microplastic pollution in Peninsular Malaysia.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104228"},"PeriodicalIF":2.1,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of ecological risk and spatial-temporal variations of heavy metals in surface sediment from blood cockle cultivation areas at Bandon Bay, Thailand","authors":"Watcharee Ruairuen ,&nbsp;Natenapa Ruangpanupan ,&nbsp;Phuttaporn Jongjit ,&nbsp;Elena Bautista Sparrow ,&nbsp;Naranun Khammanee ,&nbsp;Preedamon Kamwachirapitak ,&nbsp;Pongsak Noparat ,&nbsp;Jantira Rattanarat","doi":"10.1016/j.rsma.2025.104226","DOIUrl":"10.1016/j.rsma.2025.104226","url":null,"abstract":"<div><div>Surface sediment samples from blood cockle cultivation areas were collected to assess heavy metal pollution in Bandon Bay during February and August of 2021. The concentration of As, Cr, Cu, Cd, Pb, and Zn were evaluated to determine the contamination status in the dry and wet seasons. The ecological risks were evaluated using four heavy metal indices: geo-accumulation index (<span><math><mrow><msub><mrow><mi>I</mi></mrow><mrow><mi>geo</mi></mrow></msub><mo>)</mo></mrow></math></span>, contamination factor (CF), pollution load index (PLI), and potential ecological risk index (PER). The results revealed that the mean concentrations of heavy metals ranged from high to low with Zn&gt;Cr&gt;Pb&gt;As&gt;Cu&gt;Cd. Seasonal distribution of heavy metals in sediments showed that the dry season had higher concentrations than the wet season. Meanwhile, the <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>geo</mi></mrow></msub></math></span> and CF indicated that the level of As and Cd contamination in the sediments varied from polluted to strongly polluted. According to the PLI and PER, the surface sediments in Thathong area of Bandon Bay were at a low to moderate level of ecological risk for As and for Cd an ecological risk as high as 65.34. Based on these findings, frequent monitoring of the contamination levels is recommended to effectively minimize and mitigate the threat posed by heavy metal pollution in Bandon Bay.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104226"},"PeriodicalIF":2.1,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing meroplankton assemblage interannual variations in the Southern Yellow Sea, China: Key environmental factors and climate-related drivers","authors":"Shuangyan Zhang ,&nbsp;Fang Zhang ,&nbsp;Jianfeng Wang ,&nbsp;Song Sun","doi":"10.1016/j.rsma.2025.104219","DOIUrl":"10.1016/j.rsma.2025.104219","url":null,"abstract":"<div><div>Meroplankton significantly influences both benthic and pelagic ecosystems. This study investigates interannual variations of meroplankton in the Southern Yellow Sea (SYS), China, during summertime from 2012 to 2023 (noncontinuous), focusing on the interannual variations of key groups and their environmental factors under climate change. Findings revealed that meroplankton abundance was lower in June than in July, with peak abundances recorded in 2013 for June and 2012 for July, respectively. Spatial distribution patterns showed higher abundance in coastal shallow waters (&lt;50 m) and lower in the Yellow Sea Cold Water Mass (YSCWM) (&gt;50 m). Gastropoda and Bivalvia larvae were the most predominant and widely distributed groups, while body length of Bivalvia larvae varied across the surveyed periods; Gastropoda and Polychaeta larvae exhibited minimal differences. Brachyura and Echinodermata larvae showed no significant body length variations. Key environmental factors affecting meroplankton included sea bottom temperature (SBT), sea bottom salinity (SBS), and depth. Notably, SBT correlated positively with increased abundance of most groups, whereas SBS and depth were associated with decreased abundance. This study reveals the broad influence of the Pacific Decadal Oscillation (PDO) on the meroplankton abundance in the Yellow Sea, to which echinoderm larvae show significant sensitivity. This research highlights the significant interactions between environmental factors and meroplankton dynamics, providing valuable insights into their ecological roles in response to climate change in the SYS. By elucidating these relationships, the study enhances our understanding of meroplankton ecology and benthic-pelagic coupling, positioning meroplankton as important ecological indicators for assessing the impacts of climate change on marine ecosystems.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104219"},"PeriodicalIF":2.1,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal estimation of air emissions due to maritime activities in the main ports of Panama","authors":"Joseph Asprilla-González ,&nbsp;Franchesca González-Olivardía ,&nbsp;Mauro Cortez-Huerta ,&nbsp;Rodolfo Sosa Echeverría ,&nbsp;Gilberto Fuentes García ,&nbsp;Rafael Esteban Antonio Durán","doi":"10.1016/j.rsma.2025.104222","DOIUrl":"10.1016/j.rsma.2025.104222","url":null,"abstract":"<div><div>Maritime transport has seen significant global growth, making it one of the most efficient and safest methods of moving cargo. However, this expansion has also led to negative consequences, such as increased air pollution. Studying port emissions is crucial, particularly in developing countries where information is scarce. This study estimates emissions from Panama's five major ports between 2009 and 2023, aiming to establish a baseline and evaluate changes in criteria pollutants (SO₂, PM₁₀, PM_2.5, CO) and NOx over time. The bottom-up methodology of the U.S. Environmental Protection Agency was applied to calculate emissions. In addition, three fuel sulfur content scenarios were analyzed for SO₂, PM₁₀, and PM_2.5: 3.5 % S m/m, 0.5 % S m/m (current scenario), and 0.1 % S m/m (potential emission control areas scenario). The results show that the port of Manzanillo leads the contribution with 36.92 % of emissions, followed by the ports of Balboa (20.22 %), Coco Solo Norte (15.88 %), Cristobal (13.71 %) and Rodman (13.27 %). It was also observed that since 2021, 90.81 % of the emissions come from container ships. This shows that this is the predominant activity in Panama's maritime sector, followed by RoRo vessels, which contribute approximately 9 % of the emissions. In general, our results indicate that the Panamanian ports have lower NOx emissions than international ports.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104222"},"PeriodicalIF":2.1,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nutrient inputs from natural and anthropogenic sources to the Guapi-Macacu River Basin (Rio de Janeiro, Brazil): A region under the influence of peri-urban expansion processes","authors":"Vinícius Vogel ,&nbsp;Fernando Lamego ,&nbsp;Aguinaldo Nepomuceno","doi":"10.1016/j.rsma.2025.104220","DOIUrl":"10.1016/j.rsma.2025.104220","url":null,"abstract":"<div><div>Increased anthropogenic nitrogen (N) and phosphorus (P) inputs to river basins are recognised as one of the main drivers of water quality deterioration. Identifying spatial patterns of N and P inputs is therefore crucial for appropriate management of river basins. This study investigated the spatial variation of natural and anthropogenic N and P inputs to the Guapi-Macacu River Basin (GMB) by integrating emission factor methodology with geoprocessing analysis. The N and P inputs from natural sources were 2170 and 10 kg km⁻² yr⁻¹, respectively. For anthropogenic sources, the N and P inputs were 1888 and 1009 kg km⁻² yr⁻¹, with livestock activity being the main contributor for both elements (53 % of N and 67 % of P). According to the geoprocessing analysis: (i) N input derived from biological fixation in the Atlantic Forest occur predominantly at steepest surfaces; (ii) livestock activity is distributed across flat and medium-slope surfaces; and (iii) inputs associated with agricultural and urban uses are concentrated in river plains. Despite the low relative importance of urban (35 and 21 % of anthropogenic N and P) and agricultural (12 and 11 % of anthropogenic N and P) inputs, spatial patterns suggest a high potential impact of these uses on water quality. Elevated N and P river flows in peri-urban areas, which are considerably higher than in rural areas, confirm this hypothesis. Mitigation strategies, such as the implementation of manure management and the construction of sewage treatment plants, are crucial to prevent water quality deterioration in the GMB.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104220"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the resilience impacts of emission reduction policies in green liner shipping network along the New Maritime Silk Road","authors":"Gang Dong,&nbsp;Jiajie Zhang,&nbsp;Min Dai","doi":"10.1016/j.rsma.2025.104209","DOIUrl":"10.1016/j.rsma.2025.104209","url":null,"abstract":"<div><div>Under the background of setting ambitious targets that demand a swift transition to zero-emission fuels by the International Maritime Organization (IMO), to evaluate the resilience of green liner shipping network (RGLSN) in the face of increasingly stringent emission reduction policies along the New Maritime Silk Road (NMSR), this study innovatively develops a cascading failure model to assess the green liner shipping network, explicitly considering how tightening emission controls the impacts of RGLSN. The results show that stricter emission policies accelerate the decline in network resilience, but the adoption of green technologies, such as cleaner fuels and emissions-reducing innovations, significantly mitigates the negative effects of these policies, delaying network collapse and improving overall resilience.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104209"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing trawls size selectivity in Antarctic krill: The role of sex and maturity stages","authors":"Ludvig Ahm Krag ,&nbsp;Jure Brčić ,&nbsp;Bent Herrmann ,&nbsp;Marco Nalon ,&nbsp;Bjørn Arne Krafft","doi":"10.1016/j.rsma.2025.104223","DOIUrl":"10.1016/j.rsma.2025.104223","url":null,"abstract":"<div><div>Understanding the connection between maturity stages and morphology in relation to size selectivity in trawls is essential for assessing the impact of various fishing gear on the population structures of harvested species, their fishing mortality rates, and the efficiency of the gear used. The Antarctic krill (<em>Euphausia superba</em>) fishery is the largest in the Southern Ocean by volume, and there is increasing interest in expanding the industry. The krill fishery employs different trawl designs and is not currently subject to technical regulations specifying the types of fishing gear and mesh sizes that can legally be used. There is a need to establish a robust model predicting size selectivity that includes the morphological variation in the population of krill. Male and female Antarctic krill are described with 12 maturity stages, from juveniles to sexually mature adults, each with distinct morphological features. The current study established a morphological description of each individual krill maturity stage to identify and parameterize what determines size selectivity using the FISHSELECT framework. This framework is used to predict size selectivity for each of the different stages in various mesh sizes and openings relevant to the krill fishery, in both actual and virtual populations. The results can be used to assess size selectivity for specific fishing gears and population structures, facilitating more accurate understanding and modeling of the fishery’s impact on the demographic composition of the krill stock.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"87 ","pages":"Article 104223"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal variability of seawater density profile and nitrate productivity in the Bay of Bengal","authors":"Siraj Uddin Md Babar Chowdhury ,&nbsp;Nur Uddin Md Khaled Chowdhury ,&nbsp;K M Azam Chowdhury ,&nbsp;Anik Karmakar ,&nbsp;Tabassum Hossain Tahsin","doi":"10.1016/j.rsma.2025.104214","DOIUrl":"10.1016/j.rsma.2025.104214","url":null,"abstract":"<div><div>The Bay of Bengal (BoB) is a dynamic marine environment shaped by complex oceanographic processes and significant freshwater influxes. Despite the critical role of seawater density variations in driving nutrient dynamics, there is limited understanding of the spatiotemporal interplay between seawater density profiles and nitrate productivity in the BoB. This study aimed to understand the relationship between seawater density variations, nitrate (NO₃) productivity, and their spatiotemporal dynamics in the BoB. Remote sensing data from 2004 to 2023 were utilized to analyze sea surface temperature (SST), sea surface salinity (SSS), mixed layer depth (MLD), and density variations, providing insights into how these factors influence primary productivity. The analysis revealed that SST peaks in May, with temperatures reaching 30.5 °C, while high NO₃ productivity, especially in coastal regions, occurs during August and September, with the highest concentration recorded at 80.32 mg/L. In contrast, the open ocean areas in the southwestern BoB exhibit higher densities (approximately 22.0 kg/m³) and comparatively lower NO₃ productivity during the same period. EOF analysis identifies dominant spatial patterns, with the first principal component explaining 76 % of the variance, capturing seasonal fluctuations in density and nitrate productivity. Correlation analysis reveals a strong negative correlation (-90 %) between sigma-t and nitrate, while salinity and density show a positive correlation (91 %), confirming the role of density in regulating nutrient availability. Additionally, the MLD was observed to be shallowest in April (∼20 m) and deepest in July (approximately 90 m), significantly influencing availability of vertical nutrient mixing and productivity. This study provides new insights into how seawater density fluctuations influence nitrate availability and primary productivity, contributing to improved biogeochemical modeling and sustainable marine resource management in the BOB. The findings highlight the significant influence of freshwater discharge and monsoonal cycles on the BoB's ecosystem and emphasize the importance of remote sensing for monitoring and managing marine resources to support sustainable management practices in response to climate variability.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104214"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing satellite-derived bathymetry in coastal turbid waters through integration with optically active substances: Insights from the SATCORE project","authors":"Mohammad Ashphaq ,&nbsp;Pankaj K. Srivastava ,&nbsp;D. Mitra","doi":"10.1016/j.rsma.2025.104208","DOIUrl":"10.1016/j.rsma.2025.104208","url":null,"abstract":"<div><div>Satellite-Derived Bathymetry (SDB) has long been a focus of research, yet its practical implementation faces persistent challenges, primarily due to suspended materials, especially in nearshore regions. This research aims to enhance SDB accuracy using Landsat-7 and Landsat-8 spectral bands by systematically analyzing the spatial distribution of Optically Active Substances (OAS) in coastal waters. This study explores the spatial interdependencies among bio-geo-chemical water quality variables collected by Indian National Center for Ocean Information System (INCOIS) initiated SATellite Coastal and Oceanographic Research (SATCORE) project and bathymetry using Lasso Regression, Elastic Net, and Random Forest (RF) models. The study evaluates the predictive power and importance of various features in deriving SDB. Feature importance analysis showed that the spectral band 0.561 μm played a dominant role across all datasets, while other environmental variables had varying levels of influence. The results highlight the effectiveness of advanced machine learning models, particularly RF, in optimizing SDB mapping, enhancing the accuracy of predictions in complex coastal regions with high levels of suspended materials.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104208"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distributions and influencing factors of heavy metals in the coastal areas of the Yangtze River Estuary, China","authors":"Sha Lou ,&nbsp;Zhirui Zhang ,&nbsp;Feng Zhou ,&nbsp;Hao Wang ,&nbsp;Yuwen Zou ,&nbsp;Irina Viktorovna Fedorova ,&nbsp;Shuguang Liu","doi":"10.1016/j.rsma.2025.104216","DOIUrl":"10.1016/j.rsma.2025.104216","url":null,"abstract":"<div><div>The sediment of coastal wetlands is the primary source and sink of heavy metals. Many heavy metal pollutants enter the wetlands with runoff, and the physicochemical processes such as adsorption/desorption and sedimentation/resuspension occur under the interaction of runoff, tide, and wave. Through field investigation, this paper studied the spatial and temporal distribution of heavy metal concentrations of particulate, dissolved, and sediment in the Yangtze River estuary in January and May 2021 and discussed the influence of water physicochemical conditions such as temperature (TEMP), dissolved oxygen (DO), pH, redox potential (Eh), salinity (SAL), electrical conductivity (EC), and suspended particulate matter (SPM) on heavy metal concentration. The risks of heavy metals in sediment in the Yangtze estuary were comprehensively evaluated by the geo-accumulation index (<em>I</em>_<em>geo</em>) method, potential ecological risk assessment, and the Sediment Quality Guidelines (SQGs). The principal component analysis (PCA) was adopted to explain the sources of different heavy metals. It was found that the particulate Cr and Cu in water mainly originated from atmospheric deposition. The dissolved Zn in water was attributed to ship emissions. The Cu in sediment mainly originated from anthropogenic emissions, and the Cd in sediment was mainly from atmospheric deposition.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104216"},"PeriodicalIF":2.1,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}