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Artykuły w czasopismach na temat „Geoeffectiveness”

Autor: Grafiati

Data publikacji: 6 września 2023

Data aktualizacji: 26 lipca 2025

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1

Ivantyshyn, Danylo. "Method of analysis of solar activity geoeffectiveness." Scientific journal of the Ternopil national technical university 1, no. 113 (2024): 111–18. http://dx.doi.org/10.33108/visnyk_tntu2024.01.111.

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The method of analysis of the solar activity geoeffectiveness and assessing its level based on the mining spatiotemporal data of geophysical field disturbances caused by the activity of the Sun is developed. At the first stage of the method, solar activity is analysed. When solar disturbances are detected, the information about solar activity and the geophysical disturbances caused by it are further jointly analysed. Further, the raw data of geophysical fields are cleaned and converted into a format suitable for analysis, as well as their time alignment is carried out, which is crucial when co

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2

Pal, Sanchita, Luiz F. G. dos Santos, Andreas J. Weiss, et al. "Automatic Detection of Large-scale Flux Ropes and Their Geoeffectiveness with a Machine-learning Approach." Astrophysical Journal 972, no. 1 (2024): 94. http://dx.doi.org/10.3847/1538-4357/ad54c3.

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Abstract Detecting large-scale flux ropes (FRs) embedded in interplanetary coronal mass ejections (ICMEs) and assessing their geoeffectiveness are essential, since they can drive severe space weather. At 1 au, these FRs have an average duration of 1 day. Their most common magnetic features are large, smoothly rotating magnetic fields. Their manual detection has become a relatively common practice over decades, although visual detection can be time-consuming and subject to observer bias. Our study proposes a pipeline that utilizes two supervised binary classification machine-learning models tra

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3

Benacquista, Remi, Sandrine Rochel, and Guy Rolland. "Understanding the variability of magnetic storms caused by ICMEs." Annales Geophysicae 35, no. 1 (2017): 147–59. http://dx.doi.org/10.5194/angeo-35-147-2017.

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Abstract. In this paper, we study the dynamics of magnetic storms due to interplanetary coronal mass ejections (ICMEs). We used multi-epoch superposed epoch analyses (SEAs) with a choice of epoch times based on the structure of the events. By sorting the events with respect to simple large-scale features (presence of a shock, magnetic structure, polarity of magnetic clouds), this method provides an original insight into understanding the variability of magnetic storm dynamics. Our results show the necessity of seeing ICMEs and their preceding sheaths as a whole since each substructure impacts

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4

Liu, Gui-Ang, Ming-Xian Zhao, Gui-Ming Le, and Tian Mao. "What Can We Learn from the Geoeffectiveness of the Magnetic Cloud on 2012 July 15–17?" Research in Astronomy and Astrophysics 22, no. 1 (2022): 015002. http://dx.doi.org/10.1088/1674-4527/ac3126.

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Abstract An interplanetary shock and a magnetic cloud (MC) reached the Earth on 2012 July 14 and 15 one after another. The shock sheath and the MC triggered an intense geomagnetic storm. We find that only small part of the MC from 06:45 UT to 10:05 UT on 2012 July 15 made contribution to the intense geomagnetic storm, while the rest part of the MC made no contribution to the intense geomagnetic storm. The averaged southward component of interplanetary magnetic field (B s ) and duskward-electric fields (E y ) within the MC from 10:05 UT, 2012 July 15 to 09:08 UT, 2012 July 16 (hereafter MC_2),

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5

Ye, Dalin, Huimin Li, Lixin Guo, and Xiaoli Jiang. "An Improved Halo Coronal Mass Ejection Geoeffectiveness Prediction Model Using Multiple Coronal Mass Ejection Features Based on the DC-PCA-KNN Method." Astrophysical Journal 978, no. 1 (2024): 66. https://doi.org/10.3847/1538-4357/ad98f0.

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Abstract Coronal mass ejections (CME) are regarded as the main drivers of geomagnetic storms (GSs). In the prediction of geoeffectiveness, various CME features have been introduced without adequately considering the geoeffectiveness of CMEs and strong correlations among the features. In this study, a feature dimension reduction method combining distance correlation (DC) and principal component analysis (PCA) was employed for the K-nearest neighbors (KNN) model to predict the geoeffectiveness of halo CME by using the multiple CME features. First, based on CME features and the Disturbance Storm

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6

Fu, Huiyuan, Yuchao Zheng, Yudong Ye, Xueshang Feng, Chaoxu Liu, and Huadong Ma. "Joint Geoeffectiveness and Arrival Time Prediction of CMEs by a Unified Deep Learning Framework." Remote Sensing 13, no. 9 (2021): 1738. http://dx.doi.org/10.3390/rs13091738.

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Fast and accurate prediction of the geoeffectiveness of coronal mass ejections (CMEs) and the arrival time of the geoeffective CMEs is urgent, to reduce the harm caused by CMEs. In this paper, we present a new deep learning framework based on time series of satellites’ optical observations that can give both the geoeffectiveness and the arrival time prediction of the CME events. It is the first time combining these two demands in a unified deep learning framework with no requirement of manually feature selection and get results immediately. The only input of the deep learning framework is the

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7

Parkhomov, Vladimir, Victor Eselevich, and Maksim Eselevich. "Geoeffectiveness of an Eruptive Prominence." System Analysis & Mathematical Modeling 4, no. 2 (2022): 123–51. http://dx.doi.org/10.17150/2713-1734.2022.4(2).123-151.

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The study examined a chain of phenomena from the Sun to the Earth, which allows to study the mechanism of geoeffectiveness of eruptive prominences propagating from the Sun inside the CME (coronal mass ejections). An eruptive prominence ejected into the solar wind moves with its speed towards the Earth in the form of a DSEP (diamagnetic structure of an eruptive prominence). The contact of the DSEP with the magnetosphere leads to its compression and the passage of the DSEP substance into the magnetosphere. The duration of a magnetospheric disturbance in the form of polar auroras on the dayside,

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8

Mendoza, Blanca, and Román Pérez Enríquez. "Geoeffectiveness of the heliospheric current sheet." Journal of Geophysical Research 100, A5 (1995): 7877. http://dx.doi.org/10.1029/94ja02867.

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9

Gopalswamy, N., S. Yashiro, and S. Akiyama. "Geoeffectiveness of halo coronal mass ejections." Journal of Geophysical Research: Space Physics 112, A6 (2007): n/a. http://dx.doi.org/10.1029/2006ja012149.

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10

Melkumyan, A. A., A. V. Belov, N. S. Shlyk, et al. "Forbush Decreases and Geomagnetic Disturbances: 1. Events Associated with Different Types of Solar and Interplanetary Sources." Геомагнетизм и аэрономия 63, no. 6 (2023): 699–714. http://dx.doi.org/10.31857/s0016794023600503.

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In this paper we study the statistical relations between geomagnetic indices and the characteristics of cosmic rays and interplanetary disturbances for Forbush decreases associated with (a) coronal mass ejections from active regions accompanied by solar flares, (b) filament eruptions outside active regions, (c) high-speed streams from coronal holes, and (d) multiple sources. For sporadic Forbush decreases, the dependence of geomagnetic indices on cosmic ray and solar wind parameters in the presence or absence of a magnetic cloud is compared using statistical methods. The results show that (a)

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11

Kirov, B., S. Asenovski, and K. Georgieva. "GEOEFFECTIVENESS OF DIFFERENT SOLAR DRIVERS (CYCLES 22–25)." Annali d'Italia 66 (April 29, 2025): 8–18. https://doi.org/10.5281/zenodo.15302704.

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We investigate the geoeffectiveness of three primary types of solar wind structures: high-speed streams from coronal holes (HSS/CIR), coronal mass ejections (CMEs) exhibiting a magnetic cloud (MC) structure, and CMEs without a clear flux-rope signature (non-MC CMEs). We analyze data spanning four solar cycles (22–25) to examine each driver’s occurrence frequency, typical solar wind parameters (speed and magnetic field), and resulting effects on the global geomagnetic indices Kp and Dst. The results confirm that MC-type CMEs are the most efficient producers of intense storms (Dst &l

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12

Mundra, Kashvi, V. Aparna, and Petrus Martens. "Using CME Progenitors to Assess CME Geoeffectiveness." Astrophysical Journal Supplement Series 257, no. 2 (2021): 33. http://dx.doi.org/10.3847/1538-4365/ac3136.

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Abstract There have been a few previous studies claiming that the effects of geomagnetic storms strongly depend on the orientation of the magnetic cloud portion of coronal mass ejections (CMEs). Aparna & Martens, using halo-CME data from 2007 to 2017, showed that the magnetic field orientation of filaments at the location where CMEs originate on the Sun can be used to credibly predict the geoeffectiveness of the CMEs being studied. The purpose of this study is to extend their survey by analyzing the halo-CME data for 1996–2006. The correlation of filament axial direction on the solar surfa

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13

Plunkett, S. P., and S. T. Wu. "Coronal mass ejections (CMEs) and their geoeffectiveness." IEEE Transactions on Plasma Science 28, no. 6 (2000): 1807–17. http://dx.doi.org/10.1109/27.902210.

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14

Chen, James, Peter J. Cargill, and Peter J. Palmadesso. "Predicting solar wind structures and their geoeffectiveness." Journal of Geophysical Research: Space Physics 102, A7 (1997): 14701–20. http://dx.doi.org/10.1029/97ja00936.

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15

Huttunen, E. "Geoeffectiveness of CMEs in the Solar Wind." Proceedings of the International Astronomical Union 2004, IAUS226 (2004): 455–56. http://dx.doi.org/10.1017/s1743921305001031.

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16

Alves, M. V., E. Echer, and W. D. Gonzalez. "Geoeffectiveness of solar wind interplanetary magnetic structures." Journal of Atmospheric and Solar-Terrestrial Physics 73, no. 11-12 (2011): 1380–84. http://dx.doi.org/10.1016/j.jastp.2010.07.024.

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17

Oliveira, D. M., and J. Raeder. "Impact angle control of interplanetary shock geoeffectiveness." Journal of Geophysical Research: Space Physics 119, no. 10 (2014): 8188–201. http://dx.doi.org/10.1002/2014ja020275.

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18

Ye, Yudong, Jiajia Liu, Yongqiang Hao, and Jun Cui. "Evaluating the Geoeffectiveness of Interplanetary Coronal Mass Ejections: Insights from a Support Vector Machine Approach with SHAP Value Analysis." Astrophysical Journal 972, no. 1 (2024): 52. http://dx.doi.org/10.3847/1538-4357/ad61d7.

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Abstract In this study, we compiled a data set of 510 interplanetary coronal mass ejections (ICME) events from 1996–2023 and trained a radial basis function support vector machine (RBF-SVM) model to investigate the geoeffectiveness of ICMEs and its dependence on the solar wind conditions observed at 1 au. The model demonstrates high performance in classifying geomagnetic storm intensities at specific Disturbance Storm Time thresholds and evaluating the geoeffectiveness of ICMEs. The model’s output was assessed using precision, recall, F1 score, and true skill statistics (TSS), complemented by

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19

Sanon, Longo Wilfried, Abidina Diabate, Emmanuel Wambi Sawadogo, and Jean Louis Zerbo. "Geoeffectiveness of X and M Class Solar Flares (SF) and Associated Halo Coronal Mass Ejections (CMEs)." Applied Physics Research 17, no. 1 (2025): 198. https://doi.org/10.5539/apr.v17n1p198.

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We studied the geoeffectiveness, the angular width, and the association with solar flares of classes X and M for a set of 262 halo-type coronal mass ejections (CMEs) during solar cycles 23 and 24, covering the period from 1996 to 2019 inclusive. We compiled the minimum Dst values that occurred within 1 to 5 days after the CME onset. We compared the distributions of these Dst values for the following subsets of halo-type CMEs: narrow CMEs (angular width &lt; 60&deg;), medium CMEs (angular width between 60&deg; and 120&deg;), and wide CMEs (angular width &gt; 120&deg;). A

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20

Pricopi, Andreea-Clara, Alin Razvan Paraschiv, Diana Besliu-Ionescu, and Anca-Nicoleta Marginean. "Predicting the Geoeffectiveness of CMEs Using Machine Learning." Astrophysical Journal 934, no. 2 (2022): 176. http://dx.doi.org/10.3847/1538-4357/ac7962.

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Abstract Coronal mass ejections (CMEs) are the most geoeffective space weather phenomena, being associated with large geomagnetic storms, and having the potential to cause disturbances to telecommunications, satellite network disruptions, and power grid damage and failures. Thus, considering these storms’ potential effects on human activities, accurate forecasts of the geoeffectiveness of CMEs are paramount. This work focuses on experimenting with different machine-learning methods trained on white-light coronagraph data sets of close-to-Sun CMEs, to estimate whether such a newly erupting ejec

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21

Xu, Mengjiao, Chenglong Shen, Yuming Wang, Bingxian Luo, and Yutian Chi. "Importance of Shock Compression in Enhancing ICME’s Geoeffectiveness." Astrophysical Journal 884, no. 2 (2019): L30. http://dx.doi.org/10.3847/2041-8213/ab4717.

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22

Siscoe, G., P. J. MacNeice, and D. Odstrcil. "East-west asymmetry in coronal mass ejection geoeffectiveness." Space Weather 5, no. 4 (2007): n/a. http://dx.doi.org/10.1029/2006sw000286.

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23

Kim, R. ‐S, K. ‐S Cho, K. ‐H Kim, et al. "CME Earthward Direction as an Important Geoeffectiveness Indicator." Astrophysical Journal 677, no. 2 (2008): 1378–84. http://dx.doi.org/10.1086/528928.

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24

Michalek, G., N. Gopalswamy, A. Lara, and S. Yashiro. "Properties and geoeffectiveness of halo coronal mass ejections." Space Weather 4, no. 10 (2006): n/a. http://dx.doi.org/10.1029/2005sw000218.

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25

Badruddin, Hassan Basurah, and Moncef Derouich. "Study of the geoeffectiveness of interplanetary magnetic clouds." Planetary and Space Science 139 (May 2017): 1–10. http://dx.doi.org/10.1016/j.pss.2017.03.001.

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26

Prakash, O., A. Shanmugaraju, G. Michalek, and S. Umapathy. "Geoeffectiveness and flare properties of radio-loud CMEs." Astrophysics and Space Science 350, no. 1 (2013): 33–45. http://dx.doi.org/10.1007/s10509-013-1728-3.

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27

SU, Zhen-Peng, Ming XIONG, Hui-Nan ZHENG, and Shui WANG. "Propagation of Interplanetary Shock and Its Consequent Geoeffectiveness." Chinese Journal of Geophysics 52, no. 2 (2009): 292–300. http://dx.doi.org/10.1002/cjg2.1351.

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28

Sanchez-Garcia, E., E. Aguilar-Rodriguez, V. Ontiveros, and J. A. Gonzalez-Esparza. "Geoeffectiveness of stream interaction regions during 2007-2008." Space Weather 15, no. 8 (2017): 1052–67. http://dx.doi.org/10.1002/2016sw001559.

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29

Degtyarev, Vitalii, Georgy Popov, and Svetlana Chudnenko. "Solar Wind Parameters and Its Geoefficiency During Minimums of Four Solar Cycles." Bulletin of Baikal State University 31, no. 4 (2021): 508–14. http://dx.doi.org/10.17150/2500-2759.2021.31(4).508-514.

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Recently a number of publications have appeared on the long and deep minimum in cycle 23 of solar activity. This interest is due to the fact that it turned out to be the longest and deepest in terms of the number of sunspots in the entire era of space exploration. The features of the minimum of cycle 23 of solar activity and the beginning of cycle 24 made it possible to assume that in the coming decades, a minimum of solar activity similar to the Dalton or Maunder minimum, leading to a global change in the earth's climate, may occur. Such assumptions make a detailed study of the influence of t

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30

Vasanth, V., and S. Umapathy. "A Statistical Study on DH CMEs and Its Geoeffectiveness." ISRN Astronomy and Astrophysics 2013 (December 24, 2013): 1–13. http://dx.doi.org/10.1155/2013/129426.

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A detailed investigation on geoeffectiveness of CMEs associated with DH-type-II bursts observed during 1997–2008 is presented. The collected sample events are divided into two groups based on their association with CMEs related to geomagnetic storms Dst ≤−50 nT, namely, (i) geoeffective events and (ii) nongeoeffective events. We found that the geoeffective events have high starting frequency, low ending frequency, long duration, wider bandwidth, energetic flares, and CMEs than nongeoeffective events. The geoeffective events are found to have intense geomagnetic storm with mean Dst index (−150

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31

Farrugia, C. J., J. D. Scudder, M. P. Freeman, et al. "Geoeffectiveness of three Wind magnetic clouds: A comparative study." Journal of Geophysical Research: Space Physics 103, A8 (1998): 17261–78. http://dx.doi.org/10.1029/98ja00886.

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32

Kumar, Santosh, and Amita Raizada. "Geoeffectiveness of magnetic clouds occurred during solar cycle 23." Planetary and Space Science 58, no. 5 (2010): 741–48. http://dx.doi.org/10.1016/j.pss.2009.11.009.

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33

Echer, E., M. V. Alves, and W. D. Gonzalez. "A statistical study of magnetic cloud parameters and geoeffectiveness." Journal of Atmospheric and Solar-Terrestrial Physics 67, no. 10 (2005): 839–52. http://dx.doi.org/10.1016/j.jastp.2005.02.010.

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34

Dumbović, M., A. Devos, B. Vršnak, et al. "Geoeffectiveness of Coronal Mass Ejections in the SOHO Era." Solar Physics 290, no. 2 (2014): 579–612. http://dx.doi.org/10.1007/s11207-014-0613-8.

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35

Taliashvili, Lela, Zadig Mouradian, and Jorge Páez. "Dynamic and Thermal Disappearance of Prominences and Their Geoeffectiveness." Solar Physics 258, no. 2 (2009): 277–95. http://dx.doi.org/10.1007/s11207-009-9414-x.

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36

Chi, Yutian, Chenglong Shen, Bingxian Luo, Yuming Wang, and Mengjiao Xu. "Geoeffectiveness of Stream Interaction Regions From 1995 to 2016." Space Weather 16, no. 12 (2018): 1960–71. http://dx.doi.org/10.1029/2018sw001894.

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37

Adebesin, B. Olufemi, S. Oluwole Ikubanni, and J. Stephen Kayode. "On the Geoeffectiveness Structure of Solar Wind-Magnetosphere Coupling Functions during Intense Storms." ISRN Astronomy and Astrophysics 2011 (January 17, 2011): 1–13. http://dx.doi.org/10.5402/2011/961757.

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The geoeffectiveness of some coupling functions for the Solar Wind-Magnetosphere Interaction had been studied. 58 storms with peak Dst < −100 nT were used. The result showed that the interplanetary magnetic field Bz appeared to be more relevant with the magnetic field B (which agreed with previous results). However, both the V (solar wind flow speed) and Bz factors in the interplanetary dawn-dusk electric field (V×Bz) are effective in the generation of very intense storms (peak Dst < −250 nT) while “intense” storms (−250 nT ≤ peak Dst < −100 nT) are mostly enhanced by the Bz factor al

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Kilpua, E. K. J., Y. Li, J. G. Luhmann, L. K. Jian, and C. T. Russell. "On the relationship between magnetic cloud field polarity and geoeffectiveness." Annales Geophysicae 30, no. 7 (2012): 1037–50. http://dx.doi.org/10.5194/angeo-30-1037-2012.

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Abstract. In this paper, we have investigated geoeffectivity of near-Earth magnetic clouds during two periods concentrated around the last two solar minima. The studied magnetic clouds were categorised according to the behaviour of the Z-component of the interplanetary magnetic field (BZ) into bipolar (BZ changes sign) and unipolar (BZ maintains its sign) clouds. The magnetic structure of bipolar clouds followed the solar cycle rule deduced from observations over three previous solar cycles, except during the early rising phase of cycle 24 when both BZ polarities were identified almost with th

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39

Cid, Consuelo, Hebe Cremades, Angels Aran, et al. "Clarifying some issues on the geoeffectiveness of limb halo CMEs." Proceedings of the International Astronomical Union 8, S300 (2013): 285–88. http://dx.doi.org/10.1017/s1743921313011101.

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AbstractA recent study by Cid et al. (2012) showed that full halo coronal mass ejections (CMEs) coming from the limb can disturb the terrestrial environment. Although this result seems to rise some controversies with the well established theories, the fact is that the study encourages the scientific community to perform careful multidisciplinary analysis along the Sun-to-Earth chain to fully understand which are the solar triggers of terrestrial disturbances. This paper aims to clarify some of the polemical issues arisen by that paper.

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40

Cliver, E. W., and N. U. Crooker. "A seasonal dependence for the geoeffectiveness of eruptive solar events." Solar Physics 145, no. 2 (1993): 347–57. http://dx.doi.org/10.1007/bf00690661.

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41

Eselevich, V. G. "Solar flares : geoeffectiveness and the possibility of a new classification." Planetary and Space Science 38, no. 2 (1990): 189–206. http://dx.doi.org/10.1016/0032-0633(90)90083-3.

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42

Oliveira, D. M., and A. A. Samsonov. "Geoeffectiveness of interplanetary shocks controlled by impact angles: A review." Advances in Space Research 61, no. 1 (2018): 1–44. http://dx.doi.org/10.1016/j.asr.2017.10.006.

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43

Oliveira, Denny M., and Joachim Raeder. "Impact angle control of interplanetary shock geoeffectiveness: A statistical study." Journal of Geophysical Research: Space Physics 120, no. 6 (2015): 4313–23. http://dx.doi.org/10.1002/2015ja021147.

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44

Snekvik, K., E. I. Tanskanen, and E. K. J. Kilpua. "An automated identification method for Alfvénic streams and their geoeffectiveness." Journal of Geophysical Research: Space Physics 118, no. 10 (2013): 5986–98. http://dx.doi.org/10.1002/jgra.50588.

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45

Talpeanu, D. C., S. Poedts, E. D’Huys, and M. Mierla. "Study of the propagation, in situ signatures, and geoeffectiveness of shear-induced coronal mass ejections in different solar winds." Astronomy & Astrophysics 658 (February 2022): A56. http://dx.doi.org/10.1051/0004-6361/202141977.

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Aims. Our goal is to propagate multiple eruptions –obtained through numerical simulations performed in a previous study– to 1 AU and to analyse the effects of different background solar winds on their dynamics and structure at Earth. We also aim to improve the understanding of why some consecutive eruptions do not result in the expected geoeffectiveness, and how a secondary coronal mass ejection (CME) can affect the configuration of the preceding one. Methods. Using the 2.5D magnetohydrodynamics package of the code MPI-AMRVAC, we numerically modelled consecutive CMEs inserted in two different

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46

Laskari, Marina, Panagiota Preka-Papadema, Constantine Caroubalos, et al. "Coronal shocks associated with CMEs and flares and their space weather consequences." Proceedings of the International Astronomical Union 4, S257 (2008): 61–63. http://dx.doi.org/10.1017/s1743921309029093.

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AbstractWe study the geoeffectiveness of a sample of complex events; each includes a coronal type II burst, accompanied by a GOES SXR flare and LASCO CME. The radio bursts were recorded by the ARTEMIS-IV radio spectrograph, in the 100-650 MHz range; the GOES SXR flares and SOHO/LASCO CMEs, were obtained from the Solar Geophysical Data (SGD) and the LASCO catalogue respectively. These are compared with changes of solar wind parameters and geomagnetic indices in order to establish a relationship between solar energetic events and their effects on geomagnetic activity.

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47

Verbanac, G., B. Vršnak, A. Veronig, and M. Temmer. "Equatorial coronal holes, solar wind high-speed streams, and their geoeffectiveness." Astronomy & Astrophysics 526 (December 15, 2010): A20. http://dx.doi.org/10.1051/0004-6361/201014617.

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Verbanac, G., S. Živković, B. Vršnak, M. Bandić, and T. Hojsak. "Comparison of geoeffectiveness of coronal mass ejections and corotating interaction regions." Astronomy & Astrophysics 558 (October 2013): A85. http://dx.doi.org/10.1051/0004-6361/201220417.

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Petukhova, Anastasia, Ivan Petukhov, Stanislav Petukhov, and Petr Gololobov. "Cosmic rays as an indicator of the geoeffectiveness of magnetic clouds." E3S Web of Conferences 127 (2019): 02007. http://dx.doi.org/10.1051/e3sconf/201912702007.

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Geomagnetic storms are initiated by organized magnetic structures of the solar wind. The intensity of magnetic storms is determined by the product of the southward component of the magnetic field and the time interval, during which the structure is located near Earth: the larger the product, the higher the storm intensity. To determine the local properties of the structures, direct spacecraft measurements of the plasma and magnetic field characteristics are used. Global properties of the structures are also of great interest. Such information can be obtained using measurements of cosmic rays b

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Yermolaev, Yu I., and M. Yu Yermolaev. "Review of experimental results on geoeffectiveness of solar and interplanetary events." Proceedings of the International Astronomical Union 2004, IAUS223 (2004): 567–68. http://dx.doi.org/10.1017/s1743921304006908.

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