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  • Authors: Hervé-Fournereau, Nathalie; Jolivet, Simon;
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    Authors: McDonell, Professor Vincent; Villatoro, W.; Aguilar-Cerna, O.; Slope, J.;

    This project aims to build upon past research to understand better and address the emissions impact of blending H2 into Capstone microturbines. Prior research indicated that 20% blend levels could be achieved in the C-65 and C-200 models without any observed flashback. However, NOx increases were observed, and controllable up to a limitup to a limit via system settings. Beyond 20% blending has demonstrated the need for additional system modifications to control emissions. The team was able to correlate mixing performance with NOx emissions, showing why NOx levels with 100% H2 testing and H2 injectors may have been elevated compared to NG injectors. The findings suggest minor retrofits can be made on fielded engines via injector modifications to improve mixing. 

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    Authors: Sian, de Bell; Rachel, Hale; George, Kirkham; Jo, Garrett;

    This document is a summary of a workshop that took place in October 2023 at Heartlands, Pool, Cornwall, UK. The focus of the workshop was to lay the groundwork to develop an co-produced research plan for air quality citizen science for the Camborne, Pool and Redruth area. This workshop was funded by the Whole Systems Networking Fund from UKERC https://ukerc.ac.uk/research/wsnf/ If you would like to contribute your thoughts and feedback to this summary as we continue to develop a research plan, please email expo-engage@exeter.ac.uk More information can be found about the project at https://www.expo-engage.co.uk/

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    NASA Data for Your Air Quality Applications Made Easier 104th American Meteorological Society Annual Meeting 15th Conference on Environment and Health Problems evident throughout Earth’s systems, especially those related to air quality, require radical and rapid innovation. NASA facilitates innovation by prioritizing access to free and open data essential for monitoring and mapping complex systems and their dynamics. However, accessing and using this data can be complicated, demanding expert knowledge of the datasets and related tools. In July 2023, ESDS revised the Air Quality Data Pathfinder, one of the 15 in the series, designed to facilitate access and use of data for various transdisciplinary Earth System Science applications. Data Pathfinders provide resources and tools for a variety of user communities around common Earth systems themes, with the goal of reducing barriers to NASA data so that users can engage in exploration, analysis, and application. The updated Air Quality Data Pathfinder addresses specific concerns shared by the Air Quality user community over the past year, as articulated in the UNBOUND for Air Quality Report released in May 2023 by Earth Science Information Partners (ESIP). Data users reflected on difficulties accessing and using NASA data due to a lack of technical knowledge and skills, encountering limitations in data discovery due to perceived requirements, as well as misunderstanding metadata. The 2023 Air Quality Data Pathfinder attempts to address several pain points expressed by these users with the following updates: Data organized by resolution for easy identification Resources grouped by parameter Data tools organized by purpose Specific resources featured for GIS users, programmers, etc. The Air Quality Data Pathfinder demystifies NASA data for research and applications. This resource supports users with various interests, including monitoring the movement of wildfire smoke and dust plumes, identifying concentrations of trace gases in your region, as well as understanding how these pollutant concentrations change over time, among others. From beginners to experienced data users, this pathfinder offers data access, visualization, subsetting, and more resources in one place, allowing users more time for scientific pursuits.

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    Authors: Haaland, Stein; van Schaik, Brandon; Radlwimmer, Antonia; Schillings, Audrey; +2 Authors

    This is chapter 1 of the State of Environmental Science in Svalbard (SESS) report 2023. During the last decades, temperatures in the Arctic have risen faster than in other parts of the globe. The cause of this rapid temperature increase remains elusive, but likely several factors are in play. Global warming due to the greenhouse effect, in which certain gases in the atmosphere trap heat, is one important factor. Cyclic changes in sea currents and ice coverage also probably play an important role. Moreover, high-latitude Svalbard faces more direct exposure to electromagnetic energy from the Sun; the converging geomagnetic field in this region concentrates electromagnetic energy into the atmosphere – sometimes manifested as spectacular aurora. Comprehending the relative contributions of these factors, and the intricate interplay between space, atmosphere, sea, and land, remains a challenge. Therefore, an interdisciplinary team of scientists initiated a project to collect as much data fromthe Svalbard region as possible, to investigate and better understand these interactions. Their findings were presented in the SESS-2022 report. This chapter updates the original SATS chapter in 2023 with additional data and new methodology. In addition to incremental updates to the existing data set, we include new measurements of sea surface temperatures from several regions around Svalbard, as well as global atmospheric carbon dioxide measurements. Our recent measurements continue to show rising ground temperatures and reduced temperature differences between summer and winter. We also observe increasing seasonal asymmetry, with peak temperatures shifting towards later parts of the year. To effectively process and make sense of the growing volume of data, we also explored the use of machine learning. As a proof of concept, we created a simple machine learning model that used upper atmospheric measurements, solar activity indices, and global CO2 levels as input variables to predict ground temperatures. This modelling exercise showed that ground temperatures could be predicted quite accurately, suggesting that machine learning could be used for filling data gaps or forecasting temperatures in places where measurements are not feasible. Second, and in contrast to our SESS-2022 results, the machine learning model unveiled discernible, albeit small, correlations between ground temperatures and those in the middle layers of the atmosphere. The causal relationship remains unknown, but it is possible that ground (and sea surface) temperatures influence the upper atmosphere, rather than the other way around.

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    Authors: Kirichek, Alex (author); Pruyn, J.F.J. (author); Atasoy, B. (author); Negenborn, R.R. (author); +4 Authors

    Several measures have been developed to prevent emissions from inland water transportation. However, it is challenging to weigh all the aspects to identify the pathway that will ultimately result in zero-emission inland shipping. A data-driven virtual representation of the inland shipping system can be used to evaluate zero-emission strategies, effectiveness of policies and technologies, and consequences of their implementation. This multi-level digital twin can realistically represent the system with all relevant components, which needs to be validated using real-world data. Subsequently, future scenarios can be imposed on the digital twin, and the proposed intervention measures can be applied, based on which their efficiency can be assessed together with the inland shipping sector. This study discusses the essential aspects of designing a digital twin for an IWT. Three aspects are considered essential: individual ships, logistics chains, and infrastructure. As these research topics span various scales, ranging from a single vessel to an entire infrastructure network, an agent-based approach is suitable for forming the basis of the digital twin. Consequently, potential interventions can be considered, ranging from the application of new technologies to individual vessels to policy measures implemented for an entire shipping corridor or various bunker infrastructure strategies in the network. Additionally, the impact of the implemented interventions can be evaluated at any desired scale, ranging from the individual ship level and its emissions to the network level and aggregated emissions in an entire area, or the impact on the logistics chain. Rivers, Ports, Waterways and Dredging Engineering Ship Design, Production and Operations Transport Engineering and Logistics Transport and Logistics

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    https://doi.org/10.59490/moses...
    Article . 2024 . Peer-reviewed
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    TU Delft Repository
    Conference object . 2023
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      https://doi.org/10.59490/moses...
      Article . 2024 . Peer-reviewed
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      TU Delft Repository
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    Authors: Ryuji Yamaguchi; Masato Furuya;

    The Chandler wobble (CW) has been absent since 2015 that became evident by modelling the polar motion with simple least-squares method (Yamaguchi and Furuya, AGU 2022). To examine the atmospheric, oceanic, and hydrological contributions to the absence, we integrated the three geophysical excitation functions from different agencies. One of them is the combination of atmospheric angular momentum (AAM), oceanic angular momentum (OAM), and hydrological angular momentum (HAM) based on the ECMWF atmosphere, the output from the ocean model MPIOM, and Land Surface Discharge Model (LSDM) data, respectively (Dobslaw, 2010). Another one is the combination of AAM based on the NCEP data and OAM based on output from the ECCO model (Gross et al., 2003). The last one is the AAM we calculated using the JRA-55 data provided by JMA (Kobayashi et al., 2015). We adopt an integration approach (Furuya et al., 1997); each geophysical excitation is integrated since 1976, setting the Chandler period as 432 days and the Q-value as 50; see a companion paper by Furuya and Yamaguchi. It turned out that the contribution of the ECMWF and JRA-55 AAM has become almost zero from about 2015 for 6 years, which has never occurred before, indicating the diminishment of the atmospheric excitation since 2015. However, the two OAM and one HAM contributions have not become smaller and seem too much. These results suggest that the atmosphere is at the least responsible for the absence of the CW, but more analyses are needed to examine the oceanic and hydrological contribution. The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

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    Earth, Planets and Space
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      Earth, Planets and Space
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    Authors: Möller, Per; Björck, Svante; Dowling, T.P.F.; Hammarlund, Dan; +4 Authors

    The Siljan region hosts Europe´s largest impact structure. The high-relief landscape, with a central granite dome bordered by lake basins, contains an array of glacial and shore-level landforms. We investigated its deglaciation history by mapping and analysing landforms on high resolution LiDAR-based Digital Surface Models coupled with well-dated sediment successions from peat and lake sediment cores. The granite dome and bordering areas are characterized by streamlined terrain and ribbed moraine with a streamlined overprint. These suggest an ice-flow direction from NNW with wet-based thermal conditions prior to deglaciation. During its retreat, the ice sheet was split into thinner plateau ice and thicker basin ice. Sets of low-gradient glaciofluvial erosion channels suggest intense ice-lateral meltwater drainage across gradually ice-freed slopes, while 'down-the-slope' erosion channels and eskers show meltwater drainage from stagnated plateau ice. Thick basin ice receded with a subaqueous margin across the deep Siljan–Orsasjön Basin c. 10,700–10,500 cal. BP. During ice recession the ingression of the Baltic Ancylus Lake led to diachronous formation of highest shoreline marks, from 207 m in the south to 220 m a.s.l. in the north. Differential uplift resulted in shallowing of the water body, which led to the isolation of the Siljan¬–Orsasjön Basin from the Baltic Basin at c. 9800 cal. BP. The post-isolation water body – the ‘Ancient Lake Siljan' – was drained through the ancient Åkerö Channel with a water level at 168–169 m a.s.l. during c. 1000 years. A later rerouting of the outlet to the present course was initiated at c. 8800 cal. BP, which led to a lake-level lowering of 6–7 m to today’s level of Lake Siljan (162 m a.s.l.). This study shows the strength of an integrated methodological approach for deciphering the evolution of a complex landscape, combining highly resolved geomorphological analysis with well-dated sediment successions.

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  • The Precambrian basement map of Wyoming, by D.L. Blackstone, Jr. (1993a), has been a primary and authoritative reference for Wyoming geology since its publication. However, the utility of paper maps has abated in recent decades, and the original dataset of wells that served as the backbone to the map was never published. To provide a similarly useful map that accommodates the increasing use of digital geospatial technology, the Wyoming State Geological Survey (WSGS) revised the Precambrian basement map of Wyoming. Well logs, seismic lines, cross sections, and digital elevation models were used to refine and reinterpret the structure of the Precambrian rocks throughout the state. All reference and WSGS-generated data, as well as associated metadata, are organized and publicly available in a U.S. Geological Survey (USGS) standardized geodatabase schema, available from the WSGS website and on the Interactive Oil and Gas Map of Wyoming.

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  • Mineral resources of Cheyenne and vicinity WSGS PubID: MR-27-3

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  • Authors: Hervé-Fournereau, Nathalie; Jolivet, Simon;
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    Authors: McDonell, Professor Vincent; Villatoro, W.; Aguilar-Cerna, O.; Slope, J.;

    This project aims to build upon past research to understand better and address the emissions impact of blending H2 into Capstone microturbines. Prior research indicated that 20% blend levels could be achieved in the C-65 and C-200 models without any observed flashback. However, NOx increases were observed, and controllable up to a limitup to a limit via system settings. Beyond 20% blending has demonstrated the need for additional system modifications to control emissions. The team was able to correlate mixing performance with NOx emissions, showing why NOx levels with 100% H2 testing and H2 injectors may have been elevated compared to NG injectors. The findings suggest minor retrofits can be made on fielded engines via injector modifications to improve mixing. 

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    Authors: Sian, de Bell; Rachel, Hale; George, Kirkham; Jo, Garrett;

    This document is a summary of a workshop that took place in October 2023 at Heartlands, Pool, Cornwall, UK. The focus of the workshop was to lay the groundwork to develop an co-produced research plan for air quality citizen science for the Camborne, Pool and Redruth area. This workshop was funded by the Whole Systems Networking Fund from UKERC https://ukerc.ac.uk/research/wsnf/ If you would like to contribute your thoughts and feedback to this summary as we continue to develop a research plan, please email expo-engage@exeter.ac.uk More information can be found about the project at https://www.expo-engage.co.uk/

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    NASA Data for Your Air Quality Applications Made Easier 104th American Meteorological Society Annual Meeting 15th Conference on Environment and Health Problems evident throughout Earth’s systems, especially those related to air quality, require radical and rapid innovation. NASA facilitates innovation by prioritizing access to free and open data essential for monitoring and mapping complex systems and their dynamics. However, accessing and using this data can be complicated, demanding expert knowledge of the datasets and related tools. In July 2023, ESDS revised the Air Quality Data Pathfinder, one of the 15 in the series, designed to facilitate access and use of data for various transdisciplinary Earth System Science applications. Data Pathfinders provide resources and tools for a variety of user communities around common Earth systems themes, with the goal of reducing barriers to NASA data so that users can engage in exploration, analysis, and application. The updated Air Quality Data Pathfinder addresses specific concerns shared by the Air Quality user community over the past year, as articulated in the UNBOUND for Air Quality Report released in May 2023 by Earth Science Information Partners (ESIP). Data users reflected on difficulties accessing and using NASA data due to a lack of technical knowledge and skills, encountering limitations in data discovery due to perceived requirements, as well as misunderstanding metadata. The 2023 Air Quality Data Pathfinder attempts to address several pain points expressed by these users with the following updates: Data organized by resolution for easy identification Resources grouped by parameter Data tools organized by purpose Specific resources featured for GIS users, programmers, etc. The Air Quality Data Pathfinder demystifies NASA data for research and applications. This resource supports users with various interests, including monitoring the movement of wildfire smoke and dust plumes, identifying concentrations of trace gases in your region, as well as understanding how these pollutant concentrations change over time, among others. From beginners to experienced data users, this pathfinder offers data access, visualization, subsetting, and more resources in one place, allowing users more time for scientific pursuits.

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    Authors: Haaland, Stein; van Schaik, Brandon; Radlwimmer, Antonia; Schillings, Audrey; +2 Authors

    This is chapter 1 of the State of Environmental Science in Svalbard (SESS) report 2023. During the last decades, temperatures in the Arctic have risen faster than in other parts of the globe. The cause of this rapid temperature increase remains elusive, but likely several factors are in play. Global warming due to the greenhouse effect, in which certain gases in the atmosphere trap heat, is one important factor. Cyclic changes in sea currents and ice coverage also probably play an important role. Moreover, high-latitude Svalbard faces more direct exposure to electromagnetic energy from the Sun; the converging geomagnetic field in this region concentrates electromagnetic energy into the atmosphere – sometimes manifested as spectacular aurora. Comprehending the relative contributions of these factors, and the intricate interplay between space, atmosphere, sea, and land, remains a challenge. Therefore, an interdisciplinary team of scientists initiated a project to collect as much data fromthe Svalbard region as possible, to investigate and better understand these interactions. Their findings were presented in the SESS-2022 report. This chapter updates the original SATS chapter in 2023 with additional data and new methodology. In addition to incremental updates to the existing data set, we include new measurements of sea surface temperatures from several regions around Svalbard, as well as global atmospheric carbon dioxide measurements. Our recent measurements continue to show rising ground temperatures and reduced temperature differences between summer and winter. We also observe increasing seasonal asymmetry, with peak temperatures shifting towards later parts of the year. To effectively process and make sense of the growing volume of data, we also explored the use of machine learning. As a proof of concept, we created a simple machine learning model that used upper atmospheric measurements, solar activity indices, and global CO2 levels as input variables to predict ground temperatures. This modelling exercise showed that ground temperatures could be predicted quite accurately, suggesting that machine learning could be used for filling data gaps or forecasting temperatures in places where measurements are not feasible. Second, and in contrast to our SESS-2022 results, the machine learning model unveiled discernible, albeit small, correlations between ground temperatures and those in the middle layers of the atmosphere. The causal relationship remains unknown, but it is possible that ground (and sea surface) temperatures influence the upper atmosphere, rather than the other way around.

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    Authors: Kirichek, Alex (author); Pruyn, J.F.J. (author); Atasoy, B. (author); Negenborn, R.R. (author); +4 Authors

    Several measures have been developed to prevent emissions from inland water transportation. However, it is challenging to weigh all the aspects to identify the pathway that will ultimately result in zero-emission inland shipping. A data-driven virtual representation of the inland shipping system can be used to evaluate zero-emission strategies, effectiveness of policies and technologies, and consequences of their implementation. This multi-level digital twin can realistically represent the system with all relevant components, which needs to be validated using real-world data. Subsequently, future scenarios can be imposed on the digital twin, and the proposed intervention measures can be applied, based on which their efficiency can be assessed together with the inland shipping sector. This study discusses the essential aspects of designing a digital twin for an IWT. Three aspects are considered essential: individual ships, logistics chains, and infrastructure. As these research topics span various scales, ranging from a single vessel to an entire infrastructure network, an agent-based approach is suitable for forming the basis of the digital twin. Consequently, potential interventions can be considered, ranging from the application of new technologies to individual vessels to policy measures implemented for an entire shipping corridor or various bunker infrastructure strategies in the network. Additionally, the impact of the implemented interventions can be evaluated at any desired scale, ranging from the individual ship level and its emissions to the network level and aggregated emissions in an entire area, or the impact on the logistics chain. Rivers, Ports, Waterways and Dredging Engineering Ship Design, Production and Operations Transport Engineering and Logistics Transport and Logistics

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    https://doi.org/10.59490/moses...
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    Authors: Ryuji Yamaguchi; Masato Furuya;

    The Chandler wobble (CW) has been absent since 2015 that became evident by modelling the polar motion with simple least-squares method (Yamaguchi and Furuya, AGU 2022). To examine the atmospheric, oceanic, and hydrological contributions to the absence, we integrated the three geophysical excitation functions from different agencies. One of them is the combination of atmospheric angular momentum (AAM), oceanic angular momentum (OAM), and hydrological angular momentum (HAM) based on the ECMWF atmosphere, the output from the ocean model MPIOM, and Land Surface Discharge Model (LSDM) data, respectively (Dobslaw, 2010). Another one is the combination of AAM based on the NCEP data and OAM based on output from the ECCO model (Gross et al., 2003). The last one is the AAM we calculated using the JRA-55 data provided by JMA (Kobayashi et al., 2015). We adopt an integration approach (Furuya et al., 1997); each geophysical excitation is integrated since 1976, setting the Chandler period as 432 days and the Q-value as 50; see a companion paper by Furuya and Yamaguchi. It turned out that the contribution of the ECMWF and JRA-55 AAM has become almost zero from about 2015 for 6 years, which has never occurred before, indicating the diminishment of the atmospheric excitation since 2015. However, the two OAM and one HAM contributions have not become smaller and seem too much. These results suggest that the atmosphere is at the least responsible for the absence of the CW, but more analyses are needed to examine the oceanic and hydrological contribution. The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

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    Earth, Planets and Space
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      Article . 2023
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    Authors: Möller, Per; Björck, Svante; Dowling, T.P.F.; Hammarlund, Dan; +4 Authors

    The Siljan region hosts Europe´s largest impact structure. The high-relief landscape, with a central granite dome bordered by lake basins, contains an array of glacial and shore-level landforms. We investigated its deglaciation history by mapping and analysing landforms on high resolution LiDAR-based Digital Surface Models coupled with well-dated sediment successions from peat and lake sediment cores. The granite dome and bordering areas are characterized by streamlined terrain and ribbed moraine with a streamlined overprint. These suggest an ice-flow direction from NNW with wet-based thermal conditions prior to deglaciation. During its retreat, the ice sheet was split into thinner plateau ice and thicker basin ice. Sets of low-gradient glaciofluvial erosion channels suggest intense ice-lateral meltwater drainage across gradually ice-freed slopes, while 'down-the-slope' erosion channels and eskers show meltwater drainage from stagnated plateau ice. Thick basin ice receded with a subaqueous margin across the deep Siljan–Orsasjön Basin c. 10,700–10,500 cal. BP. During ice recession the ingression of the Baltic Ancylus Lake led to diachronous formation of highest shoreline marks, from 207 m in the south to 220 m a.s.l. in the north. Differential uplift resulted in shallowing of the water body, which led to the isolation of the Siljan¬–Orsasjön Basin from the Baltic Basin at c. 9800 cal. BP. The post-isolation water body – the ‘Ancient Lake Siljan' – was drained through the ancient Åkerö Channel with a water level at 168–169 m a.s.l. during c. 1000 years. A later rerouting of the outlet to the present course was initiated at c. 8800 cal. BP, which led to a lake-level lowering of 6–7 m to today’s level of Lake Siljan (162 m a.s.l.). This study shows the strength of an integrated methodological approach for deciphering the evolution of a complex landscape, combining highly resolved geomorphological analysis with well-dated sediment successions.

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  • The Precambrian basement map of Wyoming, by D.L. Blackstone, Jr. (1993a), has been a primary and authoritative reference for Wyoming geology since its publication. However, the utility of paper maps has abated in recent decades, and the original dataset of wells that served as the backbone to the map was never published. To provide a similarly useful map that accommodates the increasing use of digital geospatial technology, the Wyoming State Geological Survey (WSGS) revised the Precambrian basement map of Wyoming. Well logs, seismic lines, cross sections, and digital elevation models were used to refine and reinterpret the structure of the Precambrian rocks throughout the state. All reference and WSGS-generated data, as well as associated metadata, are organized and publicly available in a U.S. Geological Survey (USGS) standardized geodatabase schema, available from the WSGS website and on the Interactive Oil and Gas Map of Wyoming.

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  • Mineral resources of Cheyenne and vicinity WSGS PubID: MR-27-3

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