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Large 14C excursion in 5480 BC indicates an abnormal sun in the mid-Holocene

Edited by Mark H. Thiemens, University of California, San Diego, La Jolla, CA, and approved December 21, 2016 (received for review August 17, 2016)
January 18, 2017
114 (5) 881-884

Significance

Carbon-14 contents in tree rings tell us information of the past cosmic ray intensities because cosmic rays produce 14C in the atmosphere. We found a signature of a quite large increase of incoming cosmic ray intensity in the mid-Holocene (the 5480 BC event) from the measurement of 14C content in North American tree rings. The cause of this event is supposed to be an extremely weak sun, or a combination of successive strong solar bursts and variation of a solar magnetic activity. In any case, 14C variation of the 5480 BC event is extraordinary in the Holocene, and this event indicates the abnormal solar activity compared with other periods.

Abstract

Radiocarbon content in tree rings can be an excellent proxy of the past incoming cosmic ray intensities to Earth. Although such past cosmic ray variations have been studied by measurements of 14C contents in tree rings with ≥10-y time resolution for the Holocene, there are few annual 14C data. There is a little understanding about annual 14C variations in the past, with the exception of a few periods including the AD 774−775 14C excursion where annual measurements have been performed. Here, we report the result of 14C measurements using the bristlecone pine tree rings for the period from 5490 BC to 5411 BC with 1- to 2-y resolution, and a finding of an extraordinarily large 14C increase (20‰) from 5481 BC to 5471 BC (the 5480 BC event). The 14C increase rate of this event is much larger than that of the normal grand solar minima. We propose the possible causes of this event are an unknown phase of grand solar minimum, or a combination of successive solar proton events and a normal grand solar minimum.
Cosmic rays reaching Earth are generally classified as galactic cosmic rays (GCRs) and solar cosmic rays (SCRs). GCRs including protons, heavier nuclei, electrons, gamma-ray, etc., originate from outside the heliosphere, and their intensity when they reach Earth is modulated by the interplanetary magnetic field. SCRs, which can also result from episodic solar proton events (SPEs), originate from particle acceleration in the solar corona. Incoming cosmic rays interact with Earth’s atmosphere and generate an atmospheric cascade, which produces various types of particle components (1). Because cosmogenic nuclides such as 14C and 10Be are produced in an atmospheric cascade process, their concentrations reflect the cosmic ray intensities.
The 14C contents in tree rings are normally affected by the solar magnetic activities and the geomagnetic activities, which modulate the GCR flux to Earth (2). There is an excellent tree ring record of 14C data in the international radiocarbon calibration curve IntCal (3). This record has a typically 10-y resolution extending to 13,900 y B.P. We can see solar and geomagnetic variations exhibited in the radiocarbon record as decadal to millennial time scale, i.e., 50- to 100-y variation such as grand solar minima, and ∼1,000-y variations of the geomagnetic dipole moment (4).
On the other hand, there is little understanding of annual 14C variations, due to the lack of annual 14C data for periods before AD 1510 (5). Previously, it was considered that annual variations of 14C contents do not change rapidly because the original signal is diluted and attenuated by the carbon cycle (4). Although most of annual 14C data show a gradual variation, there are some periods that show significant and rapid annual changes. The AD 775 and AD 994 (or AD 993) events are two examples of large changes, which occur at annual resolution (6, 7). The 14C variation of these two events have a characteristic increase over 1 y to 2 y followed by a decay that reflects a rapid input of cosmic rays to the atmosphere within 1 y and the decay by the global carbon cycle. The most likely explanation of these events is that they were the result of extreme SPEs, based on verifications of annual 14C measurements using worldwide tree samples (811) and annual 10Be measurements in ice cores from Antarctica and Greenland (1214). It is possible that there were more annual cosmic ray events like the 775 event and even other types of annual rapid 14C variation in the past.
To find more rapid changes in 14C data at annual resolution, we have surveyed the periods where 14C increase rates are large in the IntCal (3) record. If such annual changes occurred in the past, it is possible that such events would be manifest in the IntCal data, because a large change in 1 y to 2 y would appear in the averaged 5- to 10-y data. As a result, we have identified 15 intervals where increase rates are ≥0.3 ‰/y (using min−max values) in the IntCal13 data (3) for the Holocene (last 12,000 y) (15). The 775 event is one of these 15 intervals; the increase rate is 0.4 (‰/year). We also have the annual 14C data for five other intervals, AD 1820 (6) (SI Text, Annual Rapid Change in 14C Records and Fig. S1). 4680 BC, 4440 BC, 4030 BC, and 2455 BC (15), but they do not show the annual rapid changes. The 5460 BC peak from 5490 BC to 5460 BC has one of the largest increase rates (0.51‰/y) in the Holocene. We selected the period for our annual measurement for interval 5490–5411 BC to investigate the structure of the 14C signal around 5460 BC.
Fig. S1.
Δ14C data around the beginning of the Dalton minimum (AD 1790–1815). The circles indicate Stuiver et al. (5) (North American wood sample), the diamonds indicate our measured result (Japanese wood sample), and triangles indicate McCormac et al. (33) (Chilean wood sample).

Method and Result

We used a bristlecone pine specimen from the White Mountains (California) for annual 14C measurements. Further information about the wood is provided in Fig. S2. We prepared the cellulose samples by standard chemical cleaning methods at the Accelerator Mass Spectrometry (AMS) laboratory at the University of Arizona, and measured 14C contents at three different AMS laboratories [University of Arizona, Nagoya University, and Swiss Federal Institute of Technology (ETH)] to cross-validate our results and ascertain any laboratory offset between different AMS systems.
Fig. S2.
Image of the bristlecone pine specimen (1971#059) used for our study. This wood was collected in 1971 at Methuselah Walk site (37.3794°N, 118.1654°W) and archived at Laboratory of Tree-Ring Research, University of Arizona (32). We used the currently-accepted bristlecone pine chronology to date this specimen. We note that LaMarche and Harlan (34) speculated on the existence of a two-year dating offset prior to 2140 BC in the Campito Mountain chronology relative to the Methuselah Walk record. Although the conclusive resolution of this question will require a reevaluation of the original material, the direction of this reevaluation does not affect any of the conclusions related to the rate and magnitude of shifts in 14C.
Fig. 1, Upper, shows 14C results of three replicated series from our measurements. Because the three series are consistent with each other, we can immediately conclude that there are no laboratory offsets between the different AMS measurements. Because the values for the same year all agree well (Table S1), we combined the three series shown in Fig. 1, Upper. Fig. 1, Lower, shows a comparison between the combined data and the IntCal13 (3). The combined data are almost consistent with the IntCal13 and original data of the IntCal13.
Fig. 1.
(Upper) Measured results [Δ14C: defined in Stuiver and Polach (29)] of three series that were measured at different AMS laboratories (Arizona, Nagoya, and ETH). (Lower) Comparison of our combined data (diamonds: bristlecone pine), the original datasets of the IntCal [QL (6), UB (30), and SUREC (31)], and the IntCal13 curve (1). Although the IntCal original data are not consistent with each other, our measured results almost agree with the IntCal13.
Table S1.
Measured result (permil)
  Arizona ETH Nagoya Resultant value
Year BC Δ14C Error Δ14C Error Δ14C Error Δ14C Error
5490     86.7 2.2     86.7 2.2
5489 80.4 2.5         80.4 2.5
5488     85.2 2.2     85.2 2.2
5487 81.3 3.7         81.3 3.7
5486     83.5 2.3     83.5 2.3
5485 77.1 2.5 78.2 2.2 81.0 3.5 78.3 1.5
5484     82.6 2.2 82.2 3.4 82.5 1.9
5483 80.8 2.9 84.7 2.3 84.7 3.4 83.6 1.6
5482     79.9 2.2 87.5 3.6 82.0 1.9
5481 82.3 2.5     88.2 3.5 84.2 2.0
5480     88.5 2.2 89.6 3.4 88.8 1.9
5479 91.1 2.7 88.4 2.8 85.8 3.5 88.8 1.7
5478     91.3 2.2 87.1 3.4 90.1 1.8
5477 93.8 2.5 86.3 2.2 92.1 3.4 90.2 1.5
5476     89.2 2.2 91.7 3.5 89.9 1.9
5475 97.0 2.5 92.9 2.2     94.8 1.7
5474     96.4 2.3     96.4 2.3
5473 100.9 2.5 101.4 2.3     101.2 1.7
5472     99.8 2.3     99.8 2.3
5471 104.5 2.5         104.5 2.5
5470     101.3 2.2     101.3 2.2
5469 98.1 2.9 98.7 2.3     98.5 1.8
5468     102.1 2.3     102.1 2.3
5467 100.3 2.7 100.0 2.3     100.2 1.7
5466     101.2 2.3     101.2 2.3
5465 101.8 2.7 102.3 2.3     102.1 1.8
5464     100.5 2.3     100.5 2.3
5463 102.2 2.7 102.2 2.3     102.2 1.8
5462     102.7 2.3     102.7 2.3
5461 100.3 2.7 101.7 2.3     101.1 1.7
5460     102.0 2.3     102.0 2.3
5459     103.0 2.3     103.0 2.3
5457     104.8 2.4     104.8 2.4
5455     104.1 2.4     104.1 2.4
5453     98.2 2.4     98.2 2.4
5451     98.6 2.4     98.6 2.4
5449     99.9 2.4     99.9 2.4
5447     97.8 2.4     97.8 2.4
5445     100.5 2.3     100.5 2.3
5443     97.6 2.4     97.6 2.4
5441     95.0 2.3     95.0 2.3
5439     93.0 2.3     93.0 2.3
5437     99.7 2.3     99.7 2.3
5435     95.2 2.3     95.2 2.3
5433     96.1 2.3     96.1 2.3
5431     92.2 2.3     92.2 2.3
5429     90.8 2.3     90.8 2.3
5427     95.1 2.4     95.1 2.4
5425     87.8 2.4     87.8 2.4
5423     89.6 2.3     89.6 2.3
5421     86.7 2.3     86.7 2.3
5419     89.3 2.3     89.3 2.3
5417     90.2 2.3     90.2 2.3
5415     89.8 2.3     89.8 2.3
5413     89.1 2.3     89.1 2.3
5411     88.2 2.3     88.2 2.3
We combined all data because all series of the same year consistent with each other. We checked the consistency using χ2 test. The χ2 value of the same year is χ 2 = i = 1 n [ ( R i W ) / e i ] ; here, n = 2, 3; dof = n −1. Ri, Δ14C value; W, weighted average, ei, error. All datasets of the same year are smaller than 95% rejection rate from the χ2 test.
From our measurements, it becomes clear that the marked increase in the IntCal13 data (5490−5460 BC) shows a very large change in annual resolution. The increase occurred from 5481 BC to 5473 BC (or 5485−5471 BC: min−max values), and the increase rates are 17.0‰/8 y (or 26.2‰/14 y), respectively. Although a variation of this event (hereafter called the 5480 BC event) is different from the previously identified events like the AD 775 event, the total increase in 14C contents of the event is larger than that of the AD 775 event (∼15‰). We show a comparison between the 5480 BC event and the AD 775 event in Fig. S3.
Fig. S3.
Comparison of 14C measurements between the 5480 BC event (this study) and the AD 775 event (2). The horizontal and the vertical axes are shifted to compare the two events. We defined the zero points as average values for 5485–5481 BC and AD 770–774.

Discussion

Previous studies classified the peak around 5460 BC as a grand solar minimum, using the IntCal data (1618). Grand solar minima are defined as the periods when the solar activity is at a very low level, i.e., it is defined as the group sunspot number becoming less than 15 during at least two consecutive decades, according to Usoskin et al. (18). In a grand solar minimum, the 14C content increases largely due to a reduction of the solar modulation parameter Φ. It is estimated that Φ was ∼160 MV during the Maunder Minimum, while the present-day value varies between 400 MV and 1,000 MV (19).
We compared the annual 5480 BC event with other grand solar minima, that is the Maunder, the Spörer, the Oort, the AD seventh century, and the fourth century BC grand solar minima, where we have annual resolution 14C data (5, 2022). Fig. 2 shows a comparison between our combined datasets and other grand solar minima (more details on the grand solar minima are provided in Table S2). On average, the increase rate of the other five grand solar minima is about 0.3‰/y. Against the normal grand solar minima, the increase rate of the 5480 BC event is 2‰/y. Although the total 14C increment of the 5480 BC event is almost equal to the other minima (∼20‰), the 5480 BC event increases much faster than the others. Therefore, we expect that the origin of the 5480 BC event is apparently different from the other normal grand solar minima.
Fig. 2.
Comparison of the 5480 BC event with other grand solar minima (6, 2022). The origin of the coordinates corresponds to the shifted data point of the first year of each grand solar minima (18), and the 5481 BC data point shown in Fig. 1. Further information about the grand solar minima is provided in Table S2.
Table S2.
List of grand solar minima (the Maunder, the Spörer, the Oort, the AD seventh century, and the fourth century BC)
Event Maunder Spörer Oort AD seventh century Fourth century BC
Peirod AD 1640−1720 AD 1390−1550 AD 1010−1070 AD 650−720 390–330 BC
Reference Stuiver et al. (5) Miyahara et al. (20) Miyake (21) Miyake et al. (35) Nagaya et al. (22)
Time resolution 1 y 2 y 2 y 2 y 2 y
Increase rate, ‰/y 0.32 0.18 0.35 0.31 0.42
The period of grand solar minima are defined according to Usoskin et al. (18). Increase rates are calculated using first 30 y of data of each grand solar minima.
To explain a rapid and large 14C increase, a dramatic decrease of the solar magnetism, or extreme SPEs, is necessary. Apart from these causes, changes in the geomagnetic field can also affect the GCR flux to Earth. However, it is generally considered that the geomagnetic field does not change significantly over several centuries (4). Over ∼3,000 y from ca. 6000 BC to 3000 BC, the geomagnetic dipole field was ∼0.9 times smaller than today’s field, and had an almost constant value (23). We do not consider the consequence of the geomagnetic effect here. Also, a change of the oceanic carbon cycle and reservoir age would affect 14C; however, ocean circulation events cannot explain 14C variations on a decadal scale, because these normally require up to 200 y, as shown in a study of the Younger Dryas event by Singarayer et al. (24). Whereas another galactic event, e.g., GCR flux increases for ∼10 y followed by a tail (a few decades), may explain the 5480 BC event, we do not know of any such event. Therefore, we hypothesize that plausible causes of this 5480 BC event are (i) special state of the grand solar minimum, (ii) successive extreme SPEs over ∼20 y, or (iii) a combination of some extreme SPEs and a normal grand solar minimum (or solar magnetic activities).
First, we consider the case of a special state of the grand solar minimum. We calculated a production rate for our measured periods using a four-box carbon cycle model (Fig. S4) with the assumption that the starting point (5484 BC) was at steady-state preindustrial value 1.8 atoms per square centimeter per second (14). Further information about the production rate is provided in SI Text, Production Rate and Error Estimation. Fig. 3 shows the result of this calculated 14C production rate in comparison with the Δ14C data.
Fig. 3.
The 14C production rate for the period from 5484 BC to 5411 BC using a four-box model. We calculated the production rates in this graph using the steady state as 1.8 atoms per square centimeter per second. The blue dashed line (1.8 atoms per square centimeter per second) marks the production rate of normal solar magnetic activity, the blue dotted line (2.35 atoms per square centimeter per second) is average production rate for the Maunder Minimum, and the red solid line (3.0 atoms per square centimeter per second) is the production rate in the case where the solar modulation parameter becomes zero.
Fig. S4.
Four-box model of the carbon cycle.
According to several studies, if the solar modulation parameter becomes zero, the 14C production rate can increase to ∼3 atoms per square centimeter per second (19, 25, 26). Averages of the production data for the periods of 5476–5471 BC (6 y) and 5482–5471 BC (10 y) are 2.9 and 2.6 atoms per square centimeter per second, respectively. Then, the production rate during the increase period is comparable to the zero level of the solar modulation parameter. It may be difficult to explain these data only by the solar magnetic variation, because a phenomenon where the modulation parameter becomes almost zero for ∼10 y is unknown, including sun-like stars; however, we cannot fully exclude a very weak sun.
The structure of the 5480 BC event indicates a rapid increase in 14C after 5470 BC followed by a gradual plateau-like increase for the next 15 y and then a gradual decay. Although the initial increase in 14C for this event is different from the behavior in a normal grand solar minima, the time scale of the plateau and the following decay is consistent with the Maunder Minimum (here we have assumed the Maunder Minimum is a standard variation of a grand solar minimum; Fig. S6). Therefore, if our event is explained only by a grand solar minimum, this means the solar activity rapidly decreased to an extremely low level, and then the solar activity became gradually higher, in a similar way to other grand solar minima.
Second, we consider the cases of successive SPEs and the combination of SPEs and solar magnetic activity. Although it is, in principle, possible that the variation is explained only by solar energetic particles over the whole period, it is less likely that the plateau and the following decay can be explained by only SPEs.
Because it is difficult to divide 14C variations into the contribution by solar magnetic activities and that by SPEs, we suggest the following two scenarios: (i) several SPEs occurred during the early normal grand solar minimum, or (ii) several SPEs occurred, and then the solar magnetic activity became gradually higher. Here, we assume SPEs only occurred in the increasing period 5481–5468 BC. Knowing that a 14C production rate during the Maunder Minimum varies between 2.1 atoms per square centimeter per second and 2.6 atoms per square centimeter per second (19), we can accept that a production rate for the low solar magnetic activity during the increasing 14C period is an average of upper values, 2.35 atoms per square centimeter per second. In contrast, we note that the average production rate of 14C during normal solar magnetic activity is 1.8 atoms per square centimeter per second. Based on these hypotheses, a total 14C production by SPEs above 2.35 and 1.8 atoms per square centimeter per second during the increase can be shown to be 6.0 ± 2.4 and 10.5 ± 3.0 atoms per square centimeter per second, respectively. The total production rate of the AD 775 event has been estimated to be 3.9 atoms per square centimeter per second to 6.9 atoms per square centimeter per second (8, 10, 11, 14). Then, it is possible that the total production by SPEs of the event is comparable to or larger than the AD 775 event.
From direct measurements of the sun, we know solar flares tend to occur during a solar maximum, e.g., the number of SPEs increases in solar maximum periods (27). Also, the two annual 14C events (AD 774–775 and AD 993–994) occurred in higher solar activity periods, or at least did not occur during grand solar minimum periods (7). Thus, scenario i (several SPEs occurred in the grand solar minimum) seems less plausible; however, the viability of one scenario over another is currently limited by our poor understanding of the mechanism for occurrence of extreme SPEs.
In the observation of solar-type stars by the Kepler telescope, stars where several superflares occurred over several years were detected (28). Such observations of solar-type stars may support an extreme SPE origin of the 5480 BC event. Further investigations of the 14C record, or of other radionuclides such as annual 10Be data in ice cores, may turn up similar events, which would help to further discussion of the cause of this event.
In any case, the 14C variation of the 5480 BC event indicates an unprecedented anomaly in solar activity compared to other periods.
SI Text

Annual Rapid Change in 14C Records

There are few examples of an extremely rapid increase rate of 14C, except in the two annual cosmic ray events at AD 774–775 and AD 993–994. However, some data in the beginning of the Dalton minimum show also a large increase rate, as can be seem in the annual 14C dataset of Stuiver et al. (5), i.e., 9.2‰ increase from AD 1796 to AD 1800 and 7.6‰ increase from AD 1808 to AD 1810 (increase rates for these periods are comparable to that of the 5480 BC event). We have also measured this interval using a Japanese cedar sample. However, we did not observe such a rapid increase in the cedar record. Fig. S1 shows a comparison of annual 14C datasets [our result, Stuiver et al. (5), and McCormac et al. (33)] during the beginning of the Dalton Minimum.

Production Rate and Error Estimation

We calculated the production rate using the four-box model, which is based on Miyake et al. (6) and Usoskin et al. (8) (Fig. S4), and the 11-box model (10). We assumed the start point as a steady state (1.8 atoms per square centimeter per second), and calculated the 14C input (production rate Q). Fig. S5 shows a comparison of the production rate of two box models.
Fig. S5.
Production rates of the four-box and the 11-box carbon cycle model.
Fig. S6.
Comparison between the 5480 BC event and the Maunder Minimum [IntCal13 data (1)]. (A) Comparison for the period of whole grand solar minimum (AD 1640–1720, the Maunder Minimum; 5482–5411 BC, the present study). Scales of both axes are the same for both series, but the axes are shifted to align the 5482 BC and the AD 1640 data points. (B) Comparison for the attenuated period for the grand solar minima. Scales of the both axes of two series are the same. The timescales of the decay of the two series are almost the same. An approximate decrease in the timescale is 12‰/25 y.
To estimate errors of the production rate, we generated 1,000 error series E(t) as
E i ( t ) = Δ 14 C ( t ) + Δ 14 C error ( t ) × R i ( t ) ,
where i = 1–1,000, Δ14C(t) is the series of original Δ14C time series, Δ14Cerror(t) is the error series of the original Δ14C time series, and R(t) is the normal distributed random number series. We converted each Ei(t) series to a production rate series using the four-box model, and calculated an SD for each age t which is an error of the production rate.

Acknowledgments

We thank the staff of the Arizona Accelerator Mass Spectrometry (AMS) Laboratory and ETH AMS Laboratory for their technical assistance. We also thank Dr. H. Tajima and Dr. W. Beck for commenting on our manuscript. F.M. is supported by the Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research (Grants 26887019 and 16H06005), JSPS Program for Advancing Strategic International Networks to Accelerate the Circulation of Talented Researchers, under Grant G2602, and Toyoaki Scholarship Foundation.

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Information & Authors

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Published in

Go to Proceedings of the National Academy of Sciences
Go to Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences
Vol. 114 | No. 5
January 31, 2017
PubMed: 28100493

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Submission history

Published online: January 18, 2017
Published in issue: January 31, 2017

Keywords

  1. radiocarbon
  2. cosmic ray event
  3. solar proton event
  4. grand solar minimum
  5. tree rings

Acknowledgments

We thank the staff of the Arizona Accelerator Mass Spectrometry (AMS) Laboratory and ETH AMS Laboratory for their technical assistance. We also thank Dr. H. Tajima and Dr. W. Beck for commenting on our manuscript. F.M. is supported by the Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research (Grants 26887019 and 16H06005), JSPS Program for Advancing Strategic International Networks to Accelerate the Circulation of Talented Researchers, under Grant G2602, and Toyoaki Scholarship Foundation.

Notes

This article is a PNAS Direct Submission.

Authors

Affiliations

Fusa Miyake1 [email protected]
Institute for Space-Earth Environmental Research, Nagoya University, Nagoya 464-8601, Japan;
A. J. Timothy Jull
Department of Geosciences, University of Arizona, Tucson, AZ 85721;
Arizona Accelerator Mass Spectrometry Laboratory, University of Arizona, Tucson, AZ 85721;
Irina P. Panyushkina
Laboratory of Tree Ring Research, University of Arizona, Tucson, AZ 85721;
Lukas Wacker
Laboratory of Ion Beam Physics, ETH Zürich, 8093 Zurich, Switzerland
Matthew Salzer
Laboratory of Tree Ring Research, University of Arizona, Tucson, AZ 85721;
Christopher H. Baisan
Laboratory of Tree Ring Research, University of Arizona, Tucson, AZ 85721;
Todd Lange
Arizona Accelerator Mass Spectrometry Laboratory, University of Arizona, Tucson, AZ 85721;
Richard Cruz
Arizona Accelerator Mass Spectrometry Laboratory, University of Arizona, Tucson, AZ 85721;
Kimiaki Masuda
Institute for Space-Earth Environmental Research, Nagoya University, Nagoya 464-8601, Japan;
Toshio Nakamura
Institute for Space-Earth Environmental Research, Nagoya University, Nagoya 464-8601, Japan;

Notes

1
To whom correspondence should be addressed. Email: [email protected].
Author contributions: F.M., A.J.T.J., and I.P.P. designed research; F.M., I.P.P., L.W., M.S., C.H.B., T.L., R.C., K.M., and T.N. performed research; F.M. analyzed data; and F.M., A.J.T.J., and I.P.P. wrote the paper.

Competing Interests

The authors declare no conflict of interest.

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