Results in Earth Sciences最新文献

{"title":"Assessing seismic hazard from a potential magnitude 8.0 earthquake along the Indo-Burmese wedge and its impact on Northeast India","authors":"Prasanta Chingtham,&nbsp;Babita Sharma,&nbsp;Kapil Mohan,&nbsp;Himanshu Mittal,&nbsp;Sireesha Jaladi","doi":"10.1016/j.rines.2025.100123","DOIUrl":"10.1016/j.rines.2025.100123","url":null,"abstract":"<div><div>The 2016 Mw 6.7 Manipur earthquake in Northeast India caused significant structural damage across the region. This study simulates a plausible Mw 8.0 earthquake to assess its potential impact, employing the Empirical Green's Function Method (EGFM) to estimate probable ground motions while incorporating path and site effects. Fault parameters for the simulated event were validated using recorded data from the Manipur earthquake, revealing a similar rupture directivity pattern in the Peak Ground Acceleration (PGA) distribution between the element earthquake (a smaller recorded event used for modeling) and the simulated earthquake. PGA values across Northeast India ranged from 3 gals to 103 gals for the Mw 6.7 event and from 11 gals to 342 gals for the simulated Mw 8.0 earthquake, with Shillong recording the highest PGA due to seismic wave interference, rupture directivity, and site amplification, despite being situated 214 km from the intermediate-depth source zone (typically between 55 km and 160 km depth). The source depth likely enabled direct wave propagation over long distances, emphasizing the need to analyze simulated earthquake waveforms across varying geological formations. A comprehensive understanding of ground response parameters, simulation methodologies, and the effects of geological and geomorphological features is crucial for refining earthquake preparedness strategies in Northeast India.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895360","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":"Landslide susceptibility mapping using geospatial, analytical hierarchy process (AHP), and binary logistic regression (BLR) techniques – A study of Wadi Habban Basin, Shabwah, Yemen","authors":"Haial Al-kordi ,&nbsp;Abdulmohsen Al-Amri ,&nbsp;Govinda raju","doi":"10.1016/j.rines.2025.100103","DOIUrl":"10.1016/j.rines.2025.100103","url":null,"abstract":"<div><div>Wadi Habban Basin is continuously prone to numerous geological hazards, such as landslides. This study aims to generate landslide susceptibility maps by integrating of remote sensing, Geographic-Information-System (GIS) techniques, Analytical-Hierarchy-Process (AHP), and Binary -Logistic-Regression (BLR) models. In this study, multiple datasets were utilized for delineating landslide susceptibility maps, including slope, elevation, lithology, aspect, proximity to faults, proximity to drainage, proximity to roads, proximity to lineaments, geomorphology, soil texture, rainfall, land use/land cover, Normalized Difference Vegetation Index, curvature, and stream power index. Spatially distributed maps and thematic layers for all the aforementioned parameters were generated using a combination of remote sensing data and ground-based observations within a GIS environment. A comparative analysis of the AHP and BLR models was conducted to evaluate their predictive capability. The BLR model classified 49 % of the area as high to very high susceptibility, compared to 26 % by AHP, and showed a stronger delineation of low-risk zones. ROC curve analysis indicated high predictive accuracy for BLR than AHP models, with AUC values of 90.4 % for BLR and 81.7 % for AHP. Validation using confusion matrices demonstrated that the (BLR) model achieved an overall accuracy of 91.5 %, with a precision of 93 % and a recall of 91 %. In comparison, the (AHP) model yielded an overall accuracy of 75 %, a precision of 87.5 %, and a recall of 75 %.Results confirm the robustness of the BLR model for effective landslide susceptibility mapping and highlight its potential for risk informed planning. This study provides valuable insights for disaster risk reduction, sustainable land-use management, and the application of targeted mitigation strategies in landslide-prone regions.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212598","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":"Ground motion prediction equations for Northeast India: A hybrid approach using observed and simulated data","authors":"Naveen Kumar ,&nbsp;Himanshu Mittal ,&nbsp;Manisha Sandhu ,&nbsp;Sandeep ,&nbsp;Rajiv Kumar ,&nbsp;Atul Saini","doi":"10.1016/j.rines.2025.100128","DOIUrl":"10.1016/j.rines.2025.100128","url":null,"abstract":"<div><div>Given the potential for large-magnitude earthquakes to occur in northeastern India in the future, risk mitigation measures such as hazard assessment and strategy implementation are critical for areas with dense populations. Equations for predicting ground motion, termed GMPEs, tailored to specific characteristics play a pivotal role in conducting hazard analyses at both the macro and micro scales. Researchers have leveraging developed GMPEs for various regions, utilizing recorded strong ground motion data. Nevertheless, the limited availability of such data poses a substantial challenge in developing new, region-specific GMPEs that cover all magnitudes and distances. In light of this challenge, the present study aimed to formulate GMPEs by combining both recorded and simulated data. The approach involves utilizing finite fault simulation to create synthetic ground motion data at various surface locations where previously recorded data are accessible. Initially, the consistency of the adopted technique is evaluated by comparing simulated and recorded time histories at specific sites, considering various parameters, namely, response spectra, Fourier spectra, and peak ground acceleration. Subsequently, ground motion is simulated across various magnitude ranges at different locations, accounting for site effects. Moreover, the validity of the developed GMPEs is tested using earthquake records that are not utilized for development. The resulting GMPEs effectively predict ground motion across various magnitude ranges (M_w3.9–8.5) and hypocentral distances (20–560 km). These GMPEs can serve as valuable tools for ground motion estimation in the future. The newly developed GMPE is presented as follows:<span><span><span><math><mrow><mi>Log</mi><mrow><mfenced><mrow><mi>Y</mi></mrow></mfenced></mrow><mo>=</mo><mo>−</mo><mn>2.0941</mn><mo>+</mo><mn>0.4991</mn><mi>M</mi><mo>−</mo><mn>1.0123</mn><mi>log</mi><mo>(</mo><mi>R</mi><mo>+</mo><msup><mrow><mi>e</mi></mrow><mrow><mo>−</mo><mn>6.4001</mn><mi>M</mi><mo>)</mo></mrow></msup><mo>±</mo><mn>0.2277</mn></mrow></math></span></span></span>where M denotes the magnitude, Y represents the peak ground acceleration in g, and R represents the hypocentral distance.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100128"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048257","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":"Heat map from aeromagnetic data processing to uncover potential gold prospects in Bidzar and surrounding area, North Cameroon","authors":"David Ikome Lyonga ,&nbsp;Christopher M. Agyingi ,&nbsp;Ligbwah Victor Wotanie ,&nbsp;Mary Ewokolo Mbua Etutu ,&nbsp;Jean Paul Sep Nlomngan ,&nbsp;Quentin Marc Anaba Fotze ,&nbsp;Ngalla Ndi ,&nbsp;Ganwa Alembert Alexandre","doi":"10.1016/j.rines.2025.100082","DOIUrl":"10.1016/j.rines.2025.100082","url":null,"abstract":"<div><div>The mining and petroleum sectors serve as the cornerstone of a resilient economy in the CEMAC (Economic Community of Central African State) subregions and Cameroon in particular. These deposits are structurally controlled, and with the global demand for these commodities, novel techniques are required to identify additional potential prospects. In this study, aeromagnetic datasets were processed using the Centre for Exploration Targeting grid analysis technique to map out structurally complex zones in and around the locality of Bidzar, North Cameroon. The Centre for Exploration Targeting (CET) lineament trend predominantly follows ENE-WSW, NE-SW, and E-W orientations, while lesser trends include NNE-SSW, NW-SE, and WNW-ESE directions. These structures are attributed to deformation phases, foliations, shear zones, and faults, which indicate the major structural event in Cameroon. The Contact Occurrence Density (COD) and Orientation Entropy (OE) heat maps generated from the vectorized structures delineate potential gold prospects related to hydrothermal activity on the sheared lithologies of the Neoproterozoic Pan-African greenstone belt and metasediment in the vicinity of Bidzar, north Cameroon. This study demonstrates that structural interpretation based on aeromagnetic data is an effective tool in mineral discovery.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100082"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of dry bulk pile volume estimation algorithm based on angle of repose using experimental images","authors":"Madhu Koirala ,&nbsp;Pål Gunnar Ellingsen ,&nbsp;Ashenafi Zebene Woldaregay","doi":"10.1016/j.rines.2025.100137","DOIUrl":"10.1016/j.rines.2025.100137","url":null,"abstract":"<div><div>Estimation of volume of piles in shipping ports plays a pivotal role for logistics management, facilitates better ship rescheduling and rerouting for economic benefits and contributes to overall efficient shipping management. This paper presents validation results for a volume estimation algorithm for dry bulk cargo piles stored in open ports. Using remote sensing images obtained in a laboratory setting, the method first detects the contour of the pile and then reconstructs its 3D model based on the material’s angle of repose, and estimates the volume accordingly. We validated the algorithm on full conical piles and single-ridge elongated piles, and further tested it on reclaimed conical and elongated piles. The results demonstrated the algorithm’s strong potential for accurately estimating pile volume from experimental images and a reference satellite image, achieving high accuracy in our validation.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100137"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465235","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":"Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case study","authors":"Xiaoyu Yi ,&nbsp;Wenkai Feng ,&nbsp;Yongjian Zhou ,&nbsp;Wenxuan Wu ,&nbsp;Jiachen Zhao","doi":"10.1016/j.rines.2025.100060","DOIUrl":"10.1016/j.rines.2025.100060","url":null,"abstract":"<div><div>The uncertainty of rock mass mechanical parameters primarily stems from the inherent inhomogeneity of rock mass materials and discontinuities. Traditional deterministic methods often overlook this uncertainty, potentially impacting overall design performance. To address this issue, the study introduces an uncertainty analysis framework based on Monte Carlo simulation (MCS). This framework probabilistically quantifies the Geological Strength Index (GSI) system by utilizing the digital characterization of rock mass discontinuity information derived from photogrammetry technology, and subsequently evaluates the uncertainty of rock mass mechanical parameters. The analytical framework was applied to assess the mechanical properties of the surrounding rock in an underground powerhouse located in Henan Province, China. The results demonstrate that the proposed framework is effective in evaluating these properties and provides valuable insights for the probabilistic assessment of excavation response and support measures in underground engineering.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100060"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring of extreme rainfall events and drought severity using drought indices in the southeast semi-arid areas of Karnataka state, India","authors":"N. Harishnaika ,&nbsp;M. Arpitha ,&nbsp;S.A. Ahmed ,&nbsp;V. Nagaraja","doi":"10.1016/j.rines.2025.100066","DOIUrl":"10.1016/j.rines.2025.100066","url":null,"abstract":"<div><div>Over the past few decades, precipitation changed in duration and intensity due to climate change. The Karnataka economy and water resources are severely impacted regularly by droughts and floods. Drought indices are used to evaluate the drought conditions in the state of Karnataka. This study examines the Modified China Z-Index (MCZI), Decile Index (DI), Rainfall Departure (RD), and Percent of Normal Index (PN) to determine which measure is most appropriate for Karnataka the state's regions that experience both dry and wet climate. The total mean rainfall in the study area from 1951 to 2019 was 672.83 mm, with an average deviation of 208.10 mm. The stations in the Kolar district grid stations receive more rainfall than the Chikkaballapura district grid station. The PN along with the DI drought indices correlation in the station Bangarapete shows the highest positive correlation a value roughly R² = 0.6876. During contrasted to other indices, the RD (Rainfall Deviation) index is the easiest to compute and has the best statistics for determining dry and wet years. 1959 (-70.8 %) and 1995 (-68.4 %) were two drought years that this index could easily identify. In 1965, Bangarapete indicated an extreme drought with a 65.2 % rainfall deviation rate. Two particularly dry years have been detected in Gudibande 1981 (-72.5 %) and 1983 (-87.0 %). The study's findings will assist the state in better organizing and enhancing its approaches to managing water resources, agriculture, floods, and drought.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100066"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of Sentinel-1 and Sentinel-2 for temporal identification of aquacultural ponds","authors":"Vaishnavi Joshi ,&nbsp;Dipanwita Haldar ,&nbsp;Subhadip Dey","doi":"10.1016/j.rines.2025.100114","DOIUrl":"10.1016/j.rines.2025.100114","url":null,"abstract":"<div><div>Accurate classification of ponds under aquaculture practices (AP) and not under aquaculture practices (NAP) is essential for effective monitoring and sustainable management practices. In this study, we have integrated optical and SAR data alongside key spectral indices, such as the Normalized Difference Turbidity Index (NDTI) and the Normalized Difference Chlorophyll Index (NDCI), to distinguish between AP and NAP ponds across different seasons. The analysis reveals distinct spectral and surface characteristics between the two classes for both optical and SAR modalities. Especially for SAR data, NAP ponds exhibit higher anisotropy (<span><math><mi>A</mi></math></span>) and lower entropy (<span><math><mi>H</mi></math></span>), while AP ponds show lower <span><math><mi>A</mi></math></span> and higher <span><math><mi>H</mi></math></span>, reflecting complex management practices. Optical indices further highlight differences, with higher water clarity and nutrient enrichment in AP ponds. The Random Forest classifier obtained a maximum overall accuracy of 94<!--> <!-->% by combining optical and SAR data, significantly outperforming other classifiers. The advantages of combining optical and SAR data, as supported by the t-SNE plots showing enhanced separability between the AP and NAP ponds. Seasonal variability also plays a critical role, with AP pond areas expanding during the monsoon season and contracting in the summer due to maintenance and evaporation. A notable shift in aquaculture practices was observed, with AP ponds covering 4617.47<!--> <!-->ha in January and increasing to 4686.73<!--> <!-->ha in September, highlighting the influence of seasonal factors. Spatial analysis revealed a dynamic shift in the usage of ponds, with aquaculture practices peaking during favorable monsoon conditions and declining during summer. The integration of multisource data significantly improves classification accuracy and captures the nuanced variability of aquaculture practices. Although environmental conditions, seasonal changes, and pond management practices influence classification performance, the proposed methodology offers a robust, scalable approach to monitoring aquaculture systems.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100114"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770915","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":"Contribution for the knowledge of the Alcochete-Pinhal Novo-Setúbal fault (Portugal) using ReMi and H/V Tests","authors":"Henrique Vicêncio ,&nbsp;Paula Teves-Costa ,&nbsp;Paulo Sá Caetano","doi":"10.1016/j.rines.2024.100028","DOIUrl":"https://doi.org/10.1016/j.rines.2024.100028","url":null,"abstract":"<div><p>The city of Setúbal is situated 30 km southeast of Lisbon, Portugal, and has experienced significant impacts from various earthquakes, including the one that occurred in 1858. This earthquake serves as an example of a nearby earthquake that caused significant social and structural damage, reaching a intensity of IX-VIII on the Modified Mercalli scale. Despite an average recurrence period of 3000–11000 years, as suggested by several authors, the Alcochete-Pinhal Novo-Setúbal fault (APSF) could potentially cause significant social, structural and economic impacts in future events. Several authors have reported on the APSF with slight variations in its outline, as it traverses multiple urbanized areas. The aim of this study was to locate the APSF in the Setúbal region and, to the best extent possible, determine its orientation and vertical offsets. 24 passive refraction microtremor tests (ReMi) and 145 horizontal-to-vertical (H/V) spectral ratios were employed to compute the variation of transverse wave velocity (V_S) with depth and to compute the fundamental frequency (F₀) and other natural frequency (F₁) of the soils when present. Horizontal sections of V_S and the spatial distribution of peak frequencies reveal alignments that can be related to the presence of the APSF fault zone. Considering all the alignments identified in this paper, two areas with distinct orientations for the APSF zone were proposed: one with a NNE-SSW strike and another with a NNW-SSE orientation. The lower values calculated for the fault plane dip (maximum of 5º) in the APSF area suggest a minimal vertical displacement, potentially corresponding to a strike-slip fault.</p></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"2 ","pages":"Article 100028"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211714824000153/pdfft?md5=bc3afd1409eceb3da87a598be6f2a075&pid=1-s2.0-S2211714824000153-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141325684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statistical analysis of detected ionospheric anomalies with earthquake magnitudes: A case study of the New Zealand earthquakes of March 4, 2021","authors":"Jewel E. Thomas,&nbsp;Ekong U. Nathaniel,&nbsp;Nyakno J. George,&nbsp;Aniekan M. Ekanem,&nbsp;Samuel S. Akpan","doi":"10.1016/j.rines.2023.100011","DOIUrl":"10.1016/j.rines.2023.100011","url":null,"abstract":"<div><p>Statistical analysis of detected ionospheric anomalies with earthquake magnitudes was carried out on two seismic events of March 4, 2021, (M7.3 Gisborne and M8.1 Kermadec Earthquakes) to ascertain a possible link between observed perturbations and event size. GPS-TEC data were downloaded 20 days pre and 5 days post the events from stations within the epicenter of respective earthquakes. The data were statistically analyzed to detect unusual variations within the investigative window. The investigation revealed that the M7.3 Gisborne EQ shown two variations on –19 and –4 days; both being positive perturbations. However, five anomalies were detected for the M8.1 Kermadec EQ on –15, –11, –5, –3 and –2 days. With exception of the irregularities on –3 days, all others were positive anomalies. The observed anomalies were subjected to further scrutiny using the geomagnetic indices of Kernnifzer digit (kp) and disturbance storm time (Dst.) for geomagnetically induced perturbations while sunspot number and F 10.7 cm were used to monitor solar activities within this same period. The study suggested an increased in detected anomalies with earthquake magnitudes.</p></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"2 ","pages":"Article 100011"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211714823000110/pdfft?md5=5f8442e7da1a740574ab37a2d3518ce1&pid=1-s2.0-S2211714823000110-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139012525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}