Eurojackpot results for Friday 28th June 2019
The winning numbers for the 26th Eurojackpot draw in 2019 that took place on Friday 28th June at 21:00 CEST (20:00 GMT) were:
Winners
Winners
Amount
Slovenian Prize Breakdown
View prize breakdowns for other countries| Numbers Matched | Prize Per Winner | Winners from Slovenia | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
€82,910.20 | 0 | €0 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | 2 | €8,232.20 | 47 |
|
Match 4 and 1 Euro Number |
€204.30 | 9 | €1,838.70 | 852 |
|
Match 4 |
€99.30 | 16 | €1,588.80 | 1,363 |
|
Match 3 and 2 Euro Numbers |
€56.50 | 29 | €1,638.50 | 2,054 |
|
Match 2 and 2 Euro Numbers |
€20.10 | 412 | €8,281.20 | 29,780 |
|
Match 3 and 1 Euro Number |
€16.20 | 487 | €7,889.40 | 35,789 |
|
Match 3 |
€14.50 | 724 | €10,498 | 57,338 |
|
Match 1 and 2 Euro Numbers |
€10.20 | 2,093 | €21,348.60 | 147,842 |
|
Match 2 and 1 Euro Number |
€7.40 | 6,633 | €49,084.20 | 497,064 |
|
Total |
- | 10,405 | €110,399.60 | 772,138 |
Eurojackpot prizes in Slovenia must be claimed within 90 days of the draw date, so tickets purchased for this draw were valid until Thursday 26th September 2019.
Additional Draw Information
In total there were 19,345,720 entries into this draw from all participating countries.
Draw Number: 26
European Prize Breakdown
| Numbers Matched | Prize Per Winner | Winners from Croatia | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
kn139,888,976.08 | 0 | kn0 | 1 |
|
Match 5 and 1 Euro Number |
kn12,153,240.73 | 0 | kn0 | 1 |
|
Match 5 |
kn612,768.23 | 0 | kn0 | 7 |
|
Match 4 and 2 Euro Numbers |
kn30,421.05 | 0 | kn0 | 47 |
|
Match 4 and 1 Euro Number |
kn1,509.93 | 25 | kn37,748.25 | 852 |
|
Match 4 |
kn733.90 | 16 | kn11,742.40 | 1,363 |
|
Match 3 and 2 Euro Numbers |
kn417.58 | 56 | kn23,384.48 | 2,054 |
|
Match 2 and 2 Euro Numbers |
kn148.55 | 685 | kn101,756.75 | 29,780 |
|
Match 3 and 1 Euro Number |
kn119.73 | 898 | kn107,517.54 | 35,789 |
|
Match 3 |
kn107.17 | 1,111 | kn119,065.87 | 57,338 |
|
Match 1 and 2 Euro Numbers |
kn75.39 | 2,911 | kn219,460.29 | 147,842 |
|
Match 2 and 1 Euro Number |
kn54.69 | 11,892 | kn650,373.48 | 497,064 |
|
Total |
- | 17,594 | kn1,271,049.06 | 772,138 |
Eurojackpot prizes in Croatia must be claimed within 60 days of the draw date, so tickets purchased for this draw were valid until Tuesday 27th August 2019.
The estimated jackpot advertised in Croatia prior to the draw was kn133,000,000.
| Numbers Matched | Prize Per Winner | Winners from Czech Republic | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
Kc481,612,410 | 0 | Kc0 | 1 |
|
Match 5 and 1 Euro Number |
Kc41,841,406 | 0 | Kc0 | 1 |
|
Match 5 |
Kc2,109,650 | 0 | Kc0 | 7 |
|
Match 4 and 2 Euro Numbers |
Kc104,734 | 1 | Kc104,734 | 47 |
|
Match 4 and 1 Euro Number |
Kc5,198 | 7 | Kc36,386 | 852 |
|
Match 4 |
Kc2,526 | 22 | Kc55,572 | 1,363 |
|
Match 3 and 2 Euro Numbers |
Kc1,437 | 40 | Kc57,480 | 2,054 |
|
Match 2 and 2 Euro Numbers |
Kc511 | 442 | Kc225,862 | 29,780 |
|
Match 3 and 1 Euro Number |
Kc412 | 552 | Kc227,424 | 35,789 |
|
Match 3 |
Kc368 | 986 | Kc362,848 | 57,338 |
|
Match 1 and 2 Euro Numbers |
Kc259 | 2,372 | Kc614,348 | 147,842 |
|
Match 2 and 1 Euro Number |
Kc188 | 7,766 | Kc1,460,008 | 497,064 |
|
Total |
- | 12,188 | Kc3,144,662 | 772,138 |
Eurojackpot prizes in Czech Republic must be claimed within 35 days of the draw date, so tickets purchased for this draw were valid until Friday 2nd August 2019.
The estimated jackpot advertised in Czech Republic prior to the draw was Kc477,000,000.
| Numbers Matched | Prize Per Winner | Winners from Denmark | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
kr.120,076,158 | 0 | kr.0 | 1 |
|
Match 5 and 1 Euro Number |
kr.10,431,974 | 0 | kr.0 | 1 |
|
Match 5 |
kr.528,582 | 1 | kr.528,582 | 7 |
|
Match 4 and 2 Euro Numbers |
kr.26,270 | 2 | kr.52,540 | 47 |
|
Match 4 and 1 Euro Number |
kr.1,332 | 55 | kr.73,260 | 852 |
|
Match 4 |
kr.663 | 105 | kr.69,615 | 1,363 |
|
Match 3 and 2 Euro Numbers |
kr.390 | 166 | kr.64,740 | 2,054 |
|
Match 2 and 2 Euro Numbers |
kr.150 | 2,430 | kr.364,500 | 29,780 |
|
Match 3 and 1 Euro Number |
kr.121 | 2,686 | kr.325,006 | 35,789 |
|
Match 3 |
kr.108 | 4,579 | kr.494,532 | 57,338 |
|
Match 1 and 2 Euro Numbers |
kr.76 | 12,651 | kr.961,476 | 147,842 |
|
Match 2 and 1 Euro Number |
kr.55 | 37,966 | kr.2,088,130 | 497,064 |
|
Total |
- | 60,641 | kr.5,022,381 | 772,138 |
Eurojackpot prizes in Denmark must be claimed within a set period of time depending on how much you have won. Visit the How to Claim page to find specific claim periods, with some prizes needing to be claimed within 90 days of the draw (valid until Thursday 26th September 2019).
The estimated jackpot advertised in Denmark prior to the draw was kr.114,000,000.
| Numbers Matched | Prize Per Winner | Winners from Estonia | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
€82,910.20 | 0 | €0 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | 0 | €0 | 47 |
|
Match 4 and 1 Euro Number |
€204.30 | 7 | €1,430.10 | 852 |
|
Match 4 |
€99.30 | 21 | €2,085.30 | 1,363 |
|
Match 3 and 2 Euro Numbers |
€56.50 | 13 | €734.50 | 2,054 |
|
Match 2 and 2 Euro Numbers |
€20.10 | 205 | €4,120.50 | 29,780 |
|
Match 3 and 1 Euro Number |
€16.20 | 213 | €3,450.60 | 35,789 |
|
Match 3 |
€14.50 | 465 | €6,742.50 | 57,338 |
|
Match 1 and 2 Euro Numbers |
€10.20 | 1,031 | €10,516.20 | 147,842 |
|
Match 2 and 1 Euro Number |
€7.40 | 3,211 | €23,761.40 | 497,064 |
|
Total |
- | 5,166 | €52,841.10 | 772,138 |
Eurojackpot prizes in Estonia must be claimed within 90 days of the draw date, so tickets purchased for this draw were valid until Thursday 26th September 2019.
The estimated jackpot advertised in Estonia prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Finland | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
€82,910.20 | 2 | €165,820.40 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | At present this information is not released by the lottery operator of Finland | 47 | |
|
Match 4 and 1 Euro Number |
€204.30 | 852 | ||
|
Match 4 |
€99.30 | 1,363 | ||
|
Match 3 and 2 Euro Numbers |
€56.50 | 2,054 | ||
|
Match 2 and 2 Euro Numbers |
€20.10 | 29,780 | ||
|
Match 3 and 1 Euro Number |
€16.20 | 35,789 | ||
|
Match 3 |
€14.50 | 57,338 | ||
|
Match 1 and 2 Euro Numbers |
€10.20 | 147,842 | ||
|
Match 2 and 1 Euro Number |
€7.40 | 497,064 | ||
|
Total |
- | 772,138 |
Eurojackpot prizes in Finland must be claimed within 365 days of the draw date, so tickets purchased for this draw are valid until Saturday 27th June 2020.
The estimated jackpot advertised in Finland prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Germany | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 1 | €18,927,585.40 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 1 | €1,644,386.20 | 1 |
|
Match 5 |
€82,910.20 | 3 | €248,730.60 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | At present this information is not released by the lottery operator of Germany | 47 | |
|
Match 4 and 1 Euro Number |
€204.30 | 852 | ||
|
Match 4 |
€99.30 | 1,363 | ||
|
Match 3 and 2 Euro Numbers |
€56.50 | 2,054 | ||
|
Match 2 and 2 Euro Numbers |
€20.10 | 29,780 | ||
|
Match 3 and 1 Euro Number |
€16.20 | 35,789 | ||
|
Match 3 |
€14.50 | 57,338 | ||
|
Match 1 and 2 Euro Numbers |
€10.20 | 147,842 | ||
|
Match 2 and 1 Euro Number |
€7.40 | 497,064 | ||
|
Total |
- | 772,138 |
Eurojackpot prizes in Germany must be claimed within 3 years of the draw date, so tickets purchased for this draw are valid until Tuesday 28th June 2022.
The estimated jackpot advertised in Germany prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Hungary | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
Ft23,961,050 | 0 | Ft0 | 7 |
|
Match 4 and 2 Euro Numbers |
Ft1,189,555 | 1 | Ft1,189,555 | 47 |
|
Match 4 and 1 Euro Number |
Ft59,045 | 20 | Ft1,180,900 | 852 |
|
Match 4 |
Ft28,700 | 48 | Ft1,377,600 | 1,363 |
|
Match 3 and 2 Euro Numbers |
Ft16,330 | 46 | Ft751,180 | 2,054 |
|
Match 2 and 2 Euro Numbers |
Ft5,810 | 658 | Ft3,822,980 | 29,780 |
|
Match 3 and 1 Euro Number |
Ft4,680 | 774 | Ft3,622,320 | 35,789 |
|
Match 3 |
Ft4,190 | 1,416 | Ft5,933,040 | 57,338 |
|
Match 1 and 2 Euro Numbers |
Ft2,950 | 3,131 | Ft9,236,450 | 147,842 |
|
Match 2 and 1 Euro Number |
Ft2,140 | 11,213 | Ft23,995,820 | 497,064 |
|
Total |
- | 17,307 | Ft51,109,845 | 772,138 |
Eurojackpot prizes in Hungary must be claimed within 180 days of the draw date, so tickets purchased for this draw are valid until Wednesday 25th December 2019.
The estimated jackpot advertised in Hungary prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Iceland | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
kr.2,673,899,980 | 0 | kr.0 | 1 |
|
Match 5 and 1 Euro Number |
kr.232,302,430 | 0 | kr.0 | 1 |
|
Match 5 |
kr.11,712,720 | 0 | kr.0 | 7 |
|
Match 4 and 2 Euro Numbers |
kr.581,480 | At present this information is not released by the lottery operator of Iceland | 47 | |
|
Match 4 and 1 Euro Number |
kr.28,860 | 852 | ||
|
Match 4 |
kr.14,020 | 1,363 | ||
|
Match 3 and 2 Euro Numbers |
kr.7,980 | 2,054 | ||
|
Match 2 and 2 Euro Numbers |
kr.2,830 | 29,780 | ||
|
Match 3 and 1 Euro Number |
kr.2,280 | 35,789 | ||
|
Match 3 |
kr.2,040 | 57,338 | ||
|
Match 1 and 2 Euro Numbers |
kr.1,440 | 147,842 | ||
|
Match 2 and 1 Euro Number |
kr.1,040 | 497,064 | ||
|
Total |
- | 772,138 |
Eurojackpot prizes in Iceland must be claimed within 1 year of the draw date, so tickets purchased for this draw are valid until Sunday 28th June 2020.
The estimated jackpot advertised in Iceland prior to the draw was kr.0.
| Numbers Matched | Prize Per Winner | Winners from Italy | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
€82,910.20 | 0 | €0 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | 1 | €4,116.10 | 47 |
|
Match 4 and 1 Euro Number |
€204.30 | 21 | €4,290.30 | 852 |
|
Match 4 |
€99.30 | 26 | €2,581.80 | 1,363 |
|
Match 3 and 2 Euro Numbers |
€56.50 | 51 | €2,881.50 | 2,054 |
|
Match 2 and 2 Euro Numbers |
€20.10 | 602 | €12,100.20 | 29,780 |
|
Match 3 and 1 Euro Number |
€16.20 | 748 | €12,117.60 | 35,789 |
|
Match 3 |
€14.50 | 1,144 | €16,588 | 57,338 |
|
Match 1 and 2 Euro Numbers |
€10.20 | 3,457 | €35,261.40 | 147,842 |
|
Match 2 and 1 Euro Number |
€7.40 | 10,895 | €80,623 | 497,064 |
|
Total |
- | 16,945 | €170,559.90 | 772,138 |
Eurojackpot prizes in Italy must be claimed within a set period of time depending on how much you have won. Visit the How to Claim page to find specific claim periods, with some prizes needing to be claimed within 30 days of the draw (valid until Sunday 28th July 2019).
The estimated jackpot advertised in Italy prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Latvia | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
€82,910.20 | 0 | €0 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | At present this information is not released by the lottery operator of Latvia | 47 | |
|
Match 4 and 1 Euro Number |
€204.30 | 852 | ||
|
Match 4 |
€99.30 | 1,363 | ||
|
Match 3 and 2 Euro Numbers |
€56.50 | 2,054 | ||
|
Match 2 and 2 Euro Numbers |
€20.10 | 29,780 | ||
|
Match 3 and 1 Euro Number |
€16.20 | 35,789 | ||
|
Match 3 |
€14.50 | 57,338 | ||
|
Match 1 and 2 Euro Numbers |
€10.20 | 147,842 | ||
|
Match 2 and 1 Euro Number |
€7.40 | 497,064 | ||
|
Total |
- | 772,138 |
Eurojackpot prizes in Latvia must be claimed within 30 days of the draw date, so tickets purchased for this draw were valid until Sunday 28th July 2019.
The estimated jackpot advertised in Latvia prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Lithuania | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
€82,910.20 | 0 | €0 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | 0 | €0 | 47 |
|
Match 4 and 1 Euro Number |
€204.30 | 2 | €408.60 | 852 |
|
Match 4 |
€99.30 | 1 | €99.30 | 1,363 |
|
Match 3 and 2 Euro Numbers |
€56.50 | 4 | €226 | 2,054 |
|
Match 2 and 2 Euro Numbers |
€20.10 | 79 | €1,587.90 | 29,780 |
|
Match 3 and 1 Euro Number |
€16.20 | 101 | €1,636.20 | 35,789 |
|
Match 3 |
€14.50 | 153 | €2,218.50 | 57,338 |
|
Match 1 and 2 Euro Numbers |
€10.20 | 416 | €4,243.20 | 147,842 |
|
Match 2 and 1 Euro Number |
€7.40 | 1,306 | €9,664.40 | 497,064 |
|
Total |
- | 2,062 | €20,084.10 | 772,138 |
Eurojackpot prizes in Lithuania must be claimed within 60 days of the draw date, so tickets purchased for this draw were valid until Tuesday 27th August 2019.
The estimated jackpot advertised in Lithuania prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Netherlands | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
€82,910.20 | 0 | €0 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | At present this information is not released by the lottery operator of Netherlands | 47 | |
|
Match 4 and 1 Euro Number |
€204.30 | 852 | ||
|
Match 4 |
€99.30 | 1,363 | ||
|
Match 3 and 2 Euro Numbers |
€56.50 | 2,054 | ||
|
Match 2 and 2 Euro Numbers |
€20.10 | 29,780 | ||
|
Match 3 and 1 Euro Number |
€16.20 | 35,789 | ||
|
Match 3 |
€14.50 | 57,338 | ||
|
Match 1 and 2 Euro Numbers |
€10.20 | 147,842 | ||
|
Match 2 and 1 Euro Number |
€7.40 | 497,064 | ||
|
Total |
- | 772,138 |
Eurojackpot prizes in Netherlands must be claimed within 365 days of the draw date, so tickets purchased for this draw are valid until Saturday 27th June 2020.
The estimated jackpot advertised in Netherlands prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Norway | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
kr.183,480,225 | 0 | kr.0 | 1 |
|
Match 5 and 1 Euro Number |
kr.15,940,350 | 0 | kr.0 | 1 |
|
Match 5 |
kr.803,710 | 0 | kr.0 | 7 |
|
Match 4 and 2 Euro Numbers |
kr.39,900 | At present this information is not released by the lottery operator of Norway | 47 | |
|
Match 4 and 1 Euro Number |
kr.1,980 | 852 | ||
|
Match 4 |
kr.960 | 1,363 | ||
|
Match 3 and 2 Euro Numbers |
kr.545 | 2,054 | ||
|
Match 2 and 2 Euro Numbers |
kr.190 | 29,780 | ||
|
Match 3 and 1 Euro Number |
kr.155 | 35,789 | ||
|
Match 3 |
kr.140 | 57,338 | ||
|
Match 1 and 2 Euro Numbers |
kr.95 | 147,842 | ||
|
Match 2 and 1 Euro Number |
kr.70 | 497,064 | ||
|
Total |
- | 772,138 |
Eurojackpot prizes in Norway must be claimed within 3 months of the draw date, so tickets purchased for this draw were valid until Saturday 28th September 2019.
The estimated jackpot advertised in Norway prior to the draw was kr.0.
| Numbers Matched | Prize Per Winner | Winners from Poland | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
zł80,000,000 | 0 | zł0 | 1 |
|
Match 5 and 1 Euro Number |
zł0 | 0 | zł0 | 1 |
|
Match 5 |
zł895,177.20 | 1 | zł895,177.20 | 7 |
|
Match 4 and 2 Euro Numbers |
zł0 | 0 | zł0 | 47 |
|
Match 4 and 1 Euro Number |
zł869.60 | 12 | zł10,435.20 | 852 |
|
Match 4 |
zł422.70 | 32 | zł13,526.40 | 1,363 |
|
Match 3 and 2 Euro Numbers |
zł240.50 | 53 | zł12,746.50 | 2,054 |
|
Match 2 and 2 Euro Numbers |
zł85.60 | 974 | zł83,374.40 | 29,780 |
|
Match 3 and 1 Euro Number |
zł69 | 1,075 | zł74,175 | 35,789 |
|
Match 3 |
zł61.80 | 2,053 | zł126,875.40 | 57,338 |
|
Match 1 and 2 Euro Numbers |
zł43.50 | 5,160 | zł224,460 | 147,842 |
|
Match 2 and 1 Euro Number |
zł31.50 | 16,644 | zł524,286 | 497,064 |
|
Total |
- | 26,004 | zł1,965,056.10 | 772,138 |
Eurojackpot prizes in Poland must be claimed within 3 years of the draw date, so tickets purchased for this draw are valid until Tuesday 28th June 2022.
The estimated jackpot advertised in Poland prior to the draw was zł80,000,000.
| Numbers Matched | Prize Per Winner | Winners from Slovakia | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
€82,910.20 | 0 | €0 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | 1 | €4,116.10 | 47 |
|
Match 4 and 1 Euro Number |
€204.30 | 12 | €2,451.60 | 852 |
|
Match 4 |
€99.30 | 14 | €1,390.20 | 1,363 |
|
Match 3 and 2 Euro Numbers |
€56.50 | 28 | €1,582 | 2,054 |
|
Match 2 and 2 Euro Numbers |
€20.10 | 514 | €10,331.40 | 29,780 |
|
Match 3 and 1 Euro Number |
€16.20 | 514 | €8,326.80 | 35,789 |
|
Match 3 |
€14.50 | 842 | €12,209 | 57,338 |
|
Match 1 and 2 Euro Numbers |
€10.20 | 2,773 | €28,284.60 | 147,842 |
|
Match 2 and 1 Euro Number |
€7.40 | 8,061 | €59,651.40 | 497,064 |
|
Total |
- | 12,759 | €128,343.10 | 772,138 |
Eurojackpot prizes in Slovakia must be claimed within 35 days of the draw date, so tickets purchased for this draw were valid until Friday 2nd August 2019.
The estimated jackpot advertised in Slovakia prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Spain | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
€18,927,585.40 | 0 | €0 | 1 |
|
Match 5 and 1 Euro Number |
€1,644,386.20 | 0 | €0 | 1 |
|
Match 5 |
€82,910.20 | 0 | €0 | 7 |
|
Match 4 and 2 Euro Numbers |
€4,116.10 | 3 | €12,348.30 | 47 |
|
Match 4 and 1 Euro Number |
€204.30 | 30 | €6,129 | 852 |
|
Match 4 |
€99.30 | 41 | €4,071.30 | 1,363 |
|
Match 3 and 2 Euro Numbers |
€56.50 | 63 | €3,559.50 | 2,054 |
|
Match 2 and 2 Euro Numbers |
€20.10 | 936 | €18,813.60 | 29,780 |
|
Match 3 and 1 Euro Number |
€16.20 | 1,075 | €17,415 | 35,789 |
|
Match 3 |
€14.50 | 1,785 | €25,882.50 | 57,338 |
|
Match 1 and 2 Euro Numbers |
€10.20 | 5,069 | €51,703.80 | 147,842 |
|
Match 2 and 1 Euro Number |
€7.40 | 15,966 | €118,148.40 | 497,064 |
|
Total |
- | 24,968 | €258,071.40 | 772,138 |
Eurojackpot prizes in Spain must be claimed within 30 days of the draw date, so tickets purchased for this draw were valid until Sunday 28th July 2019.
The estimated jackpot advertised in Spain prior to the draw was €18,000,000.
| Numbers Matched | Prize Per Winner | Winners from Sweden | Prize Fund Amount | Total Winners |
|---|---|---|---|---|
|
Match 5 and 2 Euro Numbers |
kr.200,312,529 | 0 | kr.0 | 1 |
|
Match 5 and 1 Euro Number |
kr.17,402,703 | 0 | kr.0 | 1 |
|
Match 5 |
kr.877,446 | 0 | kr.0 | 7 |
|
Match 4 and 2 Euro Numbers |
kr.144,389 | 2 | kr.288,778 | 47 |
|
Match 4 and 1 Euro Number |
kr.13,989 | 31 | kr.433,659 | 852 |
|
Match 4 |
kr.6,740 | 58 | kr.390,920 | 1,363 |
|
Match 3 and 2 Euro Numbers |
kr.2,838 | 90 | kr.255,420 | 2,054 |
|
Match 2 and 2 Euro Numbers |
kr.212 | 1,490 | kr.315,880 | 29,780 |
|
Match 3 and 1 Euro Number |
kr.171 | 1,519 | kr.259,749 | 35,789 |
|
Match 3 |
kr.153 | 2,562 | kr.391,986 | 57,338 |
|
Match 1 and 2 Euro Numbers |
kr.107 | 7,416 | kr.793,512 | 147,842 |
|
Match 2 and 1 Euro Number |
kr.78 | 23,896 | kr.1,863,888 | 497,064 |
|
Total |
- | 37,064 | kr.4,993,792 | 772,138 |
Eurojackpot prizes in Sweden must be claimed within 3 months of the draw date, so tickets purchased for this draw were valid until Saturday 28th September 2019.
The estimated jackpot advertised in Sweden prior to the draw was kr.192,000,000.
Associated Draw Results
- 5
- 4
- 0
- 1
- 3
- 7
| Numbers Matched | Prize Per Winner | Total Winners |
|---|---|---|
| Match 6 in Exact Order | €50,000 | 0 |
| Match Last 5 in Exact Order | €5,000 | 0 |
| Match Last 4 in Exact Order | €500 | 13 |
| Match Last 3 in Exact Order | €50 | 110 |
| Match Last 2 in Exact Order | €5 | 924 |
| Match Last 1 in Exact Order | €3 | 8,699 |
- 9
- 7
- 2
- 9
- 8
- 2
| Numbers Matched | Prize Per Winner | Total Winners |
|---|---|---|
| Match 6 | CZK2,000,000 | 1 |
| Match 5 | CZK200,000 | 2 |
| Match 4 | CZK20,000 | 9 |
| Match 3 | CZK2,000 | 75 |
| Match 2 | CZK200 | 625 |
| Match 1 | CZK120 | 6,199 |
- 2
- 8
- 2
- 0
- 0
- 9
- 8
| Numbers Matched | Prize Per Winner | Total Winners |
|---|---|---|
| Match 7 in Exact Order | €1,000,000 | 0 |
| Match Any 6 in the Right Spot | €20,000 | 0 |
| Match Any 5 in the Right Spot | €500 | 30 |
| Match Any 4 in the Right Spot | €50 | 445 |
| Match Any 3 in the Right Spot | €6 | 3,979 |
| Match Any 2 in the Right Spot | €3 | 21,844 |
- Hampuri
- 6
| Numbers Matched | Prize Per Winner | Total Winners |
|---|---|---|
| City and Number | €1,000 | 12 |
| City | €5 | 964 |
- 6
- 3
- 9
- 6
- 8
| Numbers Matched | Prize Per Winner | Total Winners |
|---|---|---|
| Match 5 in Exact Order | kr2,000,000 | 0 |
| Match First/Last 4 in Exact Order | kr100,000 | 0 |
| Match First/Last 3 in Exact Order | kr10,000 | 19 |
| Match First/Last 2 in Exact Order | kr2,000 | 120 |
- Spydeberg
Related Eurojackpot Results Links
- Automatically check your Eurojackpot ticket
- View average prizes and winners for each prize tiers
- View the largest jackpot winners and total winners from each country
- View previous Eurojackpot results by year
Buy Eurojackpot Tickets Online
By buying your Eurojackpot tickets online you don’t have to worry about ever losing your Eurojackpot lottery tickets. When you play the Eurojackpot online all your lottery tickets purchased on the internet are stored in your personal account, meaning that you can view them anytime you wish.


|
Monolithic PZT
|
Most common type of device, not flexible, susceptible to fatigue crack, growth during cyclic loading. |
N/A |
|
PVDF film coated with PEDOT/PSS electrodes
|
Resistance to fatigue crack damage to electrodes. |
N/A |
|
Piezofiber composite
|
Increased flexibility |
120 mW from 34 × 11mm plate of 5.85 mm thickness |
|
Piezofiber composite
|
Increased flexibility |
7.5 mW from 130 × 13 mm patch of 0.38 mm thickness |
|
MFC composite quick pack IDE quick pack
|
MFC: flexibility, MFC and quick pack IDE: low-capacitance devices, quick pack: energy harvesting capability |
Quick pack proved to harvest the most energy |
|
Monolithic PZT, quick pack, MFC
|
MFC: flexibility quick pack and monolithic
PZT: energy harvesting capability
|
PZT proved to be most efficient (6.8% for random vibration excitation) |


Overview • Object concept • Addressing ↑ | ↓
While general addressing is fully defined by the chemical structure of a macromolecule or macromolecular complex, addressing of substructures (secondary structure elements and domains) depends on definitions of these substructures. Such definitions are usually subjective. Hence, general addressing is robust: it always returns the same objects in the same structure. In contrast, assignment of substructures may change, i.e., different scientists may have different opinions about which residues belong to a certain helix and even whether this is a continuous helix or a helix-loop-helix domain. Hence, substructure addressing is not robust.
As far as possible analysis and manipulation of a model should thus be performed by general addressing. However, multiscale modeling in general and certain types of coarse graining in particular require definitions of substructures. It is strongly recommended, although not mandatory, to collect all substructure definitions in an initialization script and to renounce interactive reassignments of substructures. To protect the user from inadvertent redefinition of substructures, assignments of secondary structure and domains are locked and the lock needs to be explicitly removed before redefinition.
Internally MMM treats secondary structure elements as a special type of a domain. A domain is a set of residues. Different from other domains, secondary structure elements are defined by default when reading a PDB file and allow for internal addressing of residues. Address format:
[structure](chain){coordinate set}<type.tag>relative residue number.atom:location
Parts of the address may be missing, as explained for general addressing.
H
for helix, E
for strand (part of a sheet), L
for loop
Currently MMM does not distinguish between different types of helices and strands. However, all types defined in the dictionary of secondary structure of proteins (DSSP, W. Kabsch, C. Sander, 1983, Biopolymers, 22: 2577-2637) are reserved.
If an atomistic structure exists, there is often an established nomenclature of helices, strands/sheets and loops, given in the paper that explains this structure. Information on this nomenclature and proper assignment of secondary structure is usually missing in the PDB file. It is strongly recommended to implement these established definitions in an initialization script that is read by MMM whenever this PDB structure is loaded.
Residue numbers are relative to the first residue in the secondary structure element. Be aware that this may cause problems if the length of a secondary structure element is redefined.
[2BHW](A)<H.2>3.CA
addresses the C
[2BHW](A)<H.B>3.CA
the same as above, but assuming now that a nomenclature of helices was established where the second helix is termed helix B. This works only if an initialization script was read or if helix B was defined by a command.
A domain is defined as a set of residues that are functionally related or can move as a whole with respect to other parts of a macromolecule or macromolecular complex. The definition is done by a command or a series of commands in an initialization script. Such commands can also be performed during interactive work with MMM, but this is strongly discouraged.
Domains do not have a substructure, i.e., they can only be addressed as a whole.
[structure]|domain|
where domain is the identifier (tag) of a domain that was defined previously.
[1ZCD]|translocation|
addresses the substrate translocation domain in the structure with PDB identifier 1ZCD.


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The choropleth illustrates total imports and exports by each country in USD.
Thus, rather than demonstrating bilateral trades, it provides a perspective into each country's total global trade.
The countries with "NaN" either did not take part in trades of pharmaceutical products or did not report their trades to WTO.
The range slider was provided to enable elimination of outlier countries and be able to focus more on other countries.
The United States has the largest amount of imports by far with $300 billion, followed by Switzerland with only $86 billion, about one fourth of the US!
The Americas are highly engaged in large amounts of imports, unlike Europe and Africa.
Germany is the top exporter of the world with $131 billion. A large number of big exporters are in Europe and some in Asia. Many African countries export, but size of exports
globally the smallest.
Americas seem to be globally the weakest in the industry with extremely high amount of imports of pharmaceutical products, a sign of difficulty in coping with medical
challenges with domestics resources.


A class name or function returning a class name can be assigned to each columnDef.
In this example, we will override the color and background for the first column and color the company text blue if it equals 'Velity'.
For better performance with the following example, you can choose to load the ui-grid.core.js file instead:
<script src="/release/ui-grid.core.min.js"></script>


It seems to me you aren't using the best browser to view the website. Let me help you, check the site on Google Chrome to see the full potential.
Or else please email us with your first and last name along with your email address for a formal invitation to our wedding


Universal Dependencies tools
This page collects links to and minimal instructions for tools related to Universal Dependencies.
If you would like to have your tool added to this page, please submit a pull request for the corresponding Github page. You may also want to announce your tool in the UD mailing list.
Listing
- Tools maintained by the UD project
- Annotation statistics
- Consistency checking
- Data validation
- Format conversion
- Third-party tools
- Annotation tools
- Editor modes
- Processing tools
- Visualization tools
UD-maintained tools
The Universal Dependencies project maintains a number of core tools for working with UD data. These tools are available from https://github.com/universaldependencies/tools and briefly described below.
Annotation statistics
There are two scripts that compute statistics, one written in Python and one in Perl. Despite similar names they are not equivalent!
python conllu-stats.py -h python conllu-stats.py --stats ../UD_English/en-ud-train.conllu perl conllu-stats.pl --help
The Perl script can be run in two main modes. In the default mode, it generates a XML file with statistics, including all tags, features and relations. This file is generated by the release team for every released treebank and the file stats.xml
is then part of the release. The script is typically invoked from the treebank folder:
cat *.conllu | perl conllu-stats.pl > stats.xml
In the other mode, the script generates much more detailed statistics, which are then automatically included at appropriate places of the language-specific documentation. In this case the script needs to know where are all the treebank repositories and where is the docs
repository. It will process all treebanks of one language in one run because there is only one docs section per language. It will write the statistics to the docs
repository, which must be switched to the pages-source
branch and must be afterwards pushed back to Github. This is usually also done at release time for all languages.
perl conllu-stats.pl --detailed --data .. --docs ../docs --lang pt
Consistency checking
(Description TODO)
Data validation
Validation of UD released treebanks is done using the script validate.py
from the tools
repository. More details are given
on the release checklist page.
Format conversion
See Issue 376 for references to software that helps with migration of treebanks from UD v1 to v2 guidelines.
Third-party tools
Annotation Tools
brat rapid annotation tool
brat is a browser-based tool for text annotation. The brat visualization component is used in the UD documentation system and the tool comes with a custom configuration allowing it to be used for UD annotation .
- Category: manual annotation tool
- Platform: any (browser-based)
- Implementation: Python (server), JavaScript (client)
- License: MIT (open source)
- Homepage: http://brat.nlplab.org/
- References: Stenetorp et al. (2012)
WebAnno
WebAnno is a general purpose web-based annotation tool for a wide range of linguistic annotations including various layers of morphological, syntactical, and semantic annotations. Additionaly, custom annotation layers can be defined, allowing WebAnno to be used also for non-linguistic annotation tasks. WebAnno targets annotation teams in which all annotators work independently from each other. The tool includes facilities for curating/merging the annotations from multiple annotators, calculating inter-annotator agreement, and project management. Additional features include a correction and automation mode as well as decent support for right-to-left languages.
Since version 3.0.0, WebAnno supports importing and exporting data in the CoNLL-U format. If the data contains sub-token annotations, then the text is obtained from the subtokens and the surface text is added as annotations. To control which column dependencies end up in, the flavor
feature of the built-in dependency layer needs to be used. If the feature is set to enchanced
, then it goes to the enhanced dependencies column, otherwise to the basic dependencies column. It is currently up to the annotator to ensure that the dependency trees are well-formed and representable in CoNLL-U, otherwise export to CoNLL-U may fail.
WebAnno 3.0.0 does not support the CoNLL-U 2.0 format at this time.
- Category: manual annotation tool
- Platform: client: any (browser-based), server: Java
- Implementation: Java (server), JavaScript (client)
- License: Apache License 2.0 (open source)
- Homepage: https://webanno.github.io/webanno/
- References: see WebAnno website
DgAnnotator
DgAnnotator (Dependency Graph Annotator) is a visual tool for annotating text with syntactic information, in particular creating a dependency tree. The tool reads and produces annotated documents in both XML, CoNLL-X and CoNLL-U tab separated format. Additional features: shows the differences, highlighted in red, between two different dependency trees on the same corpus; generates PNG snapshots of trees; performs PoS tagging and parsing connecting to a network service; panning and zooming.
- Category: manual annotation tool
- Platform: Windows, Linux, OS X
- Implementation: Java
- License: GPL (open source)
- Homepage: http://medialab.di.unipi.it/Project/QA/Parser/DgAnnotator/
- References: Giuseppe Attardi
UD Annotatrix
UD Annotatrix is a browser-based offline + online annotation tool for dependency trees aimed at the UD community. It supports a number of features, including validation and two-level tokenisation.
- Category: manual annotation tool
- Platform: Any
- Implementation: Python, JavaScript
- License: GPL-3.0 (open source)
- Homepage: https://github.com/jonorthwash/ud-annotatrix
- References: Tyers, F. M., Sheyanova, M. and Washington, J. N. (2018) “UD Annotatrix: An annotation tool for Universal Dependencies”. Proceedings of the 16th Conference on Treebanks and Linguistic Theories
Tred
Tred (Tree Editor) is a graph visualization and manipulation program written in Perl. It was the main tool used to annotate the Prague treebanks. It supports macros (in Perl) to automate frequently repeated operations. There are extensions for various annotation layers such as MWEs or coreference. Since January 2018, there is also an extension for CoNLL-U files (including multi-word tokens and enhanced dependencies).
- Category: manual annotation tool
- Platform: Windows, Linux, OS X
- Implementation: Perl
- License: GPL (open source)
- Homepage: http://ufal.mff.cuni.cz/tred/
- References: Petr Pajas, Peter Fabian, Jan Štěpánek
ArboratorGrew
** ArboratorGrew ** is a comprehensive, open-source, web-based tool designed for dependency treebank annotation. It supports a user-friendly drag-and-drop interface, along with social login features. Its project management capabilities allow for multiple users to collaborate simultaneously and compare trees for efficient and collaborative annotation efforts. The tool is equipped with a teacher mode and class-sourcing capabilities, making it suitable for both research and educational settings. It incorporates search and replace functions based on the Grew formalism, and an integrated neural bi-affine parser for quick bootstrapping. Additionally, it supports various annotation schemes, including UD, SUD, and custom-made schemes. https://arboratorgrew.elizia.net
- Category: manual annotation tool
- Platform: Any
- Implementation: Python, JavaScript
- License: AGPL-3.0 (open source)
- Homepage: https://arboratorgrew.elizia.net/
- References: Guibon, G., Courtin, M., Gerdes, K. and Guillaume, B., 2020, May. When collaborative treebank curation meets graph grammars. In LREC 2020-12th Language Resources and Evaluation Conference.
LightTag
LightTag is a general purpose text annotation tool which supports span annotations, classification as well as phrase-based and dependency-based relations. LightTag allows a drag-and-drop interface allowing annotators to easily drag individual tokens or sub-trees to construct their parse.
LightTag’s Universal Dependency Tool allows the user to paste an existing CoNLL-U file, visualize and correct the annotations. LightTag’s full featured text annotation tool supports managing teams of annotators, is fully hosted and available free for academic use.
- Category: manual annotation tool
- Platform: Web
- Implementation: Python, JavaScript
- License: See terms of use
- Homepage: https://lighttag.io/
- Contact<EMAIL_ADDRESS>TrUDucer
TrUDucer is a tree rewriting system based on tree transducers. It transforms dependency trees in a top-down fashion, making sure that each resulting structure will still be a valid tree. Rules are written in a domain-specific language; for cases where the DSL is not powerfui enough, rules can be augmented by writing special-case predicates in groovy. It contains an interactive transformation viewer to debug rule applications and a search tool to find trees where a specific rule could be applicable. As of 2018, TrUDucer is under active development at Hamburg University.
An example rule file converting (large parts of) the Hamburg Dependency Treebank to UD is provided with TrUDucer. The Univerity of Zurich provides a rule file to convert the TIGER treebank to UD using TrUDucer.
- Category: automatic conversion tool
- Platform: Any
- Implementation: Java
- License: GPLv3 (open source)
- Homepage: http://nats.gitlab.io/truducer/
- References: Hennig, Felix and Köhn, Arne (2017), Dependency Tree Transformation with Tree Transducers. In: Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017). Gothenburg, 58–66.
- Contact<EMAIL_ADDRESS>ConlluEditor
ConlluEditor is a tool which facilitates the editing of syntactic relations and morphological features of files in CoNLL-U format. It uses a Java-based server and a HTML/CSS/Javascript based front-end. The editor loads the CoNLL-U file and saves every change to disk (and performs a git commit if the file is under git version control). It serves also as a graphical front-end to dependecy parsers (like the UDPipe-Server).
The editor provides the following functionalities:
- editing words (forms, lemmas, upos, xpos, features, enhanced dependencies)
- editing basic dependency relations and enhanced dependency relations
- autocompletion
- join/split words (to correct tokenization errors)
- join/split sentences (to correct tokenization errors)
- search (also sequences)
- undo/redo (partially)
- run validation scripts
- git support
- edit sentence metadata (sent_id, newdoc, newpar, translations, transliterations)
-
add initial transliteration (FORM -> MISC:Translit, LEMMA -> MISC:LTranslit)
- Category: manual annotation tool
- Platform: Any
- Implementation: Java, JavaScript, Python3
- License: BSD-3-Clause (open source)
- Homepage: https://github.com/Orange-OpenSource/conllueditor
-
References: Johannes Heinecke (2019): ConlluEditor: a fully graphical editor for Universal dependencies treebank files. In: Proceedings of the Universal Dependencies Workshop 2019. Paris. (Short demo video)
- Contact<EMAIL_ADDRESS>Palmyra
Palmyra Palmyra is a configurable platform independent graphical dependency tree visualization and editing software. Palmyra has been designed with morphologically rich languages in mind, and thus has a number of features to support the complexities of these languages. These include supporting easy change of morphological tokenization through edits, additions, deletions and splits/merges of words. It can also be used to annotate a multitude of linguistic features. Palmyra uses an intuitive drag-and-drop metaphor for editing tree structures. Palmyra can be configured to be used with any dependency representation. A UD configuration file is provided in its github repo.
- Category: manual annotation tool
- Platform: Any
- Implementation: JavaScript
- License: open source
- Homepage: http://palmyra.camel-lab.com/
- References: Taji and Habash (2020): Dima Taji and Nizar Habash. 2020. PALMYRA 2.0: A Configurable Multilingual Platform Independent Tool for Morphology and Syntax Annotation. In Proceedings of Universal Dependencies Workshop (UDW) 2020..
- Contact: Nizar Habash<EMAIL_ADDRESS>BoAT
BoAT (Boğaziçi University Annotation Tool) is a collaborative grammatical annotation tool. It supports annotating CoNLL-U files. Some of its features are autocompletion, UD validation, visualization of dependency graphs and advanced search. It’s capable of serving multiple treebanks and annotators.
- Category: manual annotation tool
- Platform: any (browser-based)
- Implementation: Python (server), JavaScript (client)
- License: MIT (open source)
- Homepage: https://github.com/BOUN-TABILab-TULAP/Web-Annotation-Tool
- References: Akkurt et al. (2022)
- Contact: Furkan Akkurt (furkan.akkurt at boun dot edu dot tr)
Editor modes
Emacs
conllu-mode
is an Emacs mode for editing CoNLL-U files (syntax highlighting, column alignment, shortcuts for navigation, etc).
- Category: editor
- Platform: any OS that runs Emacs
- Implementation: Emacs Lisp
- License: GPL 3.0
- Homepage https://github.com/odanoburu/conllu-mode
Atom
This package provides syntax highlighting for CoNLL-U files in Atom.
- Category: editor
- Platform: any OS that runs Atom
- Implementation: –
- License: Apache 2.0
- Homepage https://atom.io/packages/language-conllu
Sublime Text
Syntax highlighting for CoNLL-U files on Sublime Text.
- Category: editor
- Platform: any OS that runs Sublime Text
- Implementation: –
- License: Apache 2.0
- Homepage https://github.com/stephsamson/CoNLL-U.tmLanguage/
Vim
Basic syntax highlighting and automatic syntax checking (through ALE or syntastic) for CONLL-U files.
- Category: editor
- Platform: any OS that runs Vim
- Implementation: vimscript
- License: GPL 3.0
- Homepage https://github.com/flammie/vim-conllu/
Processing tools
CL-CoNLLU
A Common Lisp library for various CoNLL-U-related operations. We have already functions for reading, writing, making queries, construct visualizations of sentences, compare trees etc.
- Category: library
- Platform: any OS that runs a Common Lisp implementation
- Implementation: Common Lisp
- License: Apache License
- Homepage: https://github.com/own-pt/cl-conllu/
- References: http://arademaker.github.io/bibliography/tilic-stil-2017.html
hs-conllu
A Haskel library for various CoNLL-U-related operations. So far, the basic functions for reading and writing. The plan is to port all other functions from the CL-CONLLU
- Category: library
- Platform: any OS that runs a Haskell compiler/interpreter
- Implementation: Haskell
- License: Apache License
- Homepage: https://hackage.haskell.org/package/hs-conllu
- References: see homepage
DepEdit
DepEdit is a simple, open source, configurable tool for manipulating dependency trees, written in Python (2/3). It can be run standalone from the commandline or imported as a module, and it is available on PyPI (pip install depedit
). Main features:
- Identify target subtrees based on regex matching of token attributes, distance between tokens, and subgraph edges
- Change token attributes (incl. text, pos, morph, etc.)
- Use regex capturing groups in find/replace values (e.g. allows for collapsing captured prepositions into the deprel of the governing token)
- Connect different tokens in the tree by setting their head feature to one of the match objects
- Use external configuration files for different scenarios or define rules programmatically when used as a module
- No language or schema specific details are hardwired into the system - everything is defined in the configuration file
-
Can be used as a very rudimentary rule-based parser to pre-process data with easy dependencies before manual annotation (e.g. attach all articles to following nouns as
det
) - Category: library
- Platform: Windows, Linux, OSX
- Implementation: Python 2/3
- License: Apache License 2.0 (open source)
- Homepage: https://corpling.uis.georgetown.edu/depedit/
- References: see website
DKPro Core CoNLL-U reader/writer
DKPro Core is collection of software components for natural language processing (NLP) based on the Apache UIMA framework. DKPro Core can be used to build workflows that automatically process text using a wide range of NLP tools from third parties that are all interoperable (Stanford CoreNLP, Apache OpenNLP, ClearNLP, mate-tools, etc etc.). It also supports a range of different data formats and can be used to convert between the different supported formats.
Starting with version 1.9.0, DKPro Core supports reading and writing the CoNLL-U format.
The latest CoNLL-U 2.0 format is not yet supported.
- Category: UIMA component
- Platform: Windows, Linux, OS X
- Implementation: Java
- License: Apache License 2.0 (open source)
- Homepage: https://dkpro.github.io/dkpro-core/
- References: see DKPro Core website
pyconll
pyconll is a minimal, entirely python, library for parsing and writing CoNLL-U files. pyconll allows users to easily parse out info from CoNLL-U corpora, or to perform and write corpus transformations. pyconll aims to provide a low-level interface over the CoNLL-U annotation scheme that is easy to understand and works with the current standard. Further, since it is written in python, there is no need to learn a new DSL or tool.
- Category: library
- Platform: Any OS with Python 3 implementation
- Implementation: Python 3
- License: MIT License
- Homepage: https://pyconll.github.io/
- Documentation: https://pyconll.readthedocs.io/en/latest/
conllu
conllu is a python library that parses a CoNLL-U string into a nested python dictionary.
It’s easily installable with “pip install conllu”, has good documentation and a big test suite that ensures working code, and is very customizable, which means it also works for custom formats that are similar to CoNLL-U. It works with both Python 2 and Python 3.
- Category: library
- Platform: Any OS with Python 2 or Python 3 implementation
- Implementation: Python 2 and Python 3
- License: MIT License
- Homepage: https://pypi.org/project/conllu/
- Documentation: https://github.com/EmilStenstrom/conllu/blob/master/README.md
Treex
Treex is a modular natural language processing framework. It reads and writes data in many formats (including CoNLL-U) and provides API for dependency tree manipulation. Many treebanks have been harmonized in HamleDT and then converted to UD using Treex.
- Category: treebank processing framework
- Platform: tested mainly on Linux
- Implementation: Perl
- License: Perl
- Homepage: http://ufal.mff.cuni.cz/treex
- References: Popel and Žabokrtský (2010)
UDPipe
UDPipe is a trainable pipeline for tokenization, tagging, lemmatization and parsing of CoNLL-U files. UDPipe is language-agnostic and can be trained given only annotated data in CoNLL-U format. (Nevertheless, to train the tokenizer, either the SpaceAfter
feature must be present, or at least some plain text must be available; also morphological analyzer and lemmatizer can be improved if morphological dictionary is provided.) Trained models are provided for nearly all UD treebanks. UDPipe is available as a binary, as a library for C++, Python, Perl, Java, C#, and as a web service.
- Category: trainable tokenizer, tagger, lemmatizer and parser
- Platform: Linux, Windows, OS X
- Implementation: C++; language bindings for Python, Perl, Java and C#
- License: MPL 2.0 (open source)
- Homepage: http://ufal.mff.cuni.cz/udpipe
- On-line service: http://lindat.mff.cuni.cz/services/udpipe/
- References: Milan Straka, Jan Hajič and Jana Straková 2016. UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing. LREC 2016, Portorož, Slovenia, May 2016.
UDAPI
- Category: libraries for various UD and CoNLL-U-related operations in several programming languages
- Implementation: Java, Perl, Python
- License: GPL, Perl
- Homepage: http://udapi.github.io/
UDon2
UDon2 is a library providing the possibility to manipulate Universal Dependencies trees. UDon2 is written in C++ with Python bindings via Boost.Python and is geared towards downstream NLP applications that require plenty of manipulations with individual dependency trees, including transforming UD trees to trees without labels on edges (as defined by Croce et. al. (2011)) to be used in ML algorithms. The package can perform these manipulations, as well as reading and writing to CoNLL-U files, efficiently (see benchmarks. UDon2 lacks command-line interface and thus is not recommended by the authors for working with treebanks.
- Category: library
- Implementation: C++ (with Python bindings)
- Platform: Linux and Windows (contributions for supporting OS X are welcome)
- License: MIT (starting from release 0.1b1)
- Homepage: https://github.com/udon2/udon2
- Documentation: https://udon2.github.io/
- References: Kalpakchi and Boye (2020)
ACoLi CoNLL Libraries
The ACoLi CoNLL Libraries provide advanced tools for processing, creating and manipulating CoNLL/TSV formats, including CoNLL-U and CoNLL-U Plus. In particular, this includes merging, transforming and querying CoNLL and other TSV (CSV) data:
- conversion between different CoNLL formats
- automated retokenization
- merging concurrent annotations (i.e., multiple annotations of the same token merged into a single row)
- machine-readable specs for more than 20 CoNLL and other TSV formats
- parsing CoNLL data into graphs and back
- rule-based transformation of CoNLL annotations, e.g., for annotation postprocessing, pre-annotation or rule-based parsing
- Linked Open Data publication of CoNLL corpora
- enrichment with external knowledge bases
- support for domain-specific extensions of the original tabular design of CoNLL formats, in particular for
- syntactic dependencies (resolving foreign keys/object properties),
- Semantic Role annotations (variable-sized tables),
- PTB phrase structure notation (parsed into directed acyclic graph),
- infused XML markup (also parsed into a directed acyclic graph),
- multi-layer annotations (multiple directed acyclic graphs over the same text)
None of these operations are limited to CoNLL-U, but CoNLL-U and CoNLL-U Plus are supported as input and output formats.
- Category: library, shell
- Platform: any OS that runs Java. Some shell scripts require Bash 4.0+ (MacOS users might need to upgrade the pre-installed Bash)
- Implementation: Java
- License: Apache License
- Homepage: https://github.com/acoli-repo/conll
- References: Chiarcos and Schenk (2018)
Visualization tools
Deptreeviz
Deptreeviz is a SVG visualization and editing component. It can be used as a swing component or to create SVGs from the command line. It supports drag-and-drop modifications of trees, including dependency label and selecting the correct lexical items. For the editing facilities, a matching backend needs to be programmed. Deptreeviz is used to convert the Hamburg Dependency Treebank to UD.
- Category: tree visualization (SVG graphics)
- Platform: Any
- Implementation: Java
- License: Apache License 2.0 (open source)
- Homepage: <https://gitlab.com/nats/deptreeviz
- References: Sven Zimmer, Arne Köhn
CoNLL-U viewer
A simple browser-based (JavaScript, i.e. client side) viewer of your CoNLL-U files. Open your file, see the tree, go to the next tree. Click on a node to see all its attributes. Save the tree as an SVG graphics if needed. There is no way of jumping directly to a tree, neither by tree number, nor by searching attribute values.
- Category: tree viewer
- Platform: any (browser-based)
- Implementation: JavaScript
- Credit: Milan Straka, Michal Sedlák
- Access here
CoNLL-U viewer at rug.nl
- Live site: http://www.let.rug.nl/kleiweg/conllu/
- Source code: Github
TüNDRA
TüNDRA (Tübingen aNnotated Data Retrieval Application) is a web application for searching in treebanks using a lightweight query language inspired by the widely used TIGERSearch application. It offers corpus linguists an interface for using corpora with complex annotation and syntactic links. Most of the treebanks available in TüNDRA are free and publicly available. To access all the treebanks a user has to have an account at a European institution of higher education (i.e. be a student or an employee). Any user may upload a CoNLL-U or a TCF file to browse/search it with the tool. A visualization is interactive (scaling, zooming, panning) and can be saved in multiple formats (e.g. to be later used for a publication). TüNDRA is a part of CLARIN-D project and is funded by the German Federal Ministry for Education and Research (BMBF).
- Category: tree viewer and search engine
- Platform: any (web application)
- Implementation: JavaScript, React (frontend), Java (backend)
- Credit: Department of General and Computational Linguistics at the University of Tübingen
- Access here
UDeasy
Udeasy is an application written in Python 3 whose main goal is to allow the user to easily query a treebank and extract patterns from a treebank in CoNLL-U format. To do this, users are prompted in a series of dialogs to enter relevant information about syntactic nodes, their properties, relationship, and positions. The functions to extract the occurrences from a treebank rely on the udapi Python package. The graphic interface is built using the GUI toolkit wxPython. Due to its ease of use it is a useful tool for the community of linguists who want to use a data-driven approach and for the students who approach dependency treebanks without almost any experience with queries.
- Category: tree viewer and search engine
- Platform: Linux, Windows, MacOS
- Implementation: Python
- Credit: Luca Brigada Villa
- Homepage here


I have traced the Rebel spies to her. Now she is my only link to finding their secret base. I want to come with you to Alderaan.
I have traced the Rebel spies to her. Now she is my only link to finding their secret base. I want to come with you to Alderaan.
I have traced the Rebel spies to her. Now she is my only link to finding their secret base. I want to come with you to Alderaan.
I have traced the Rebel spies to her. Now she is my only link to finding their secret base. I want to come with you to Alderaan.
Kid, I've flown from one side of this galaxy to the other. I've seen a lot of strange stuff, but I've never seen anything to make me believe there's one all-powerful Force controlling everything.
There's no mystical energy field that controls my destiny. It's all a lot of simple tricks and nonsense. Look, I ain't in this for your revolution, and I'm not in it for you.
I want to come with you to Alderaan. There's nothing for me here now. I want to learn the ways of the Force and be a Jedi, like my father before me. Still, she's got a lot of spirit. I don't know, what do you think?
Photoshop
Illustrator
HTML/CSS
Javascript
Wordpress
PHP/MySQL
+351 123 456 789
<EMAIL_ADDRESS>Fifth Avenue
767 5th Ave, New York,
NY 10153


Let's ditch IBM Notes and Domino
Finally you decided it is time to move on, legacy no longer means " tried and tested" but " we need to move one" to you. After all you never really liked Cher.
Notes data is available via LotusScript, dotNet (through the COM bridge), in Java, Corba, C++, XML, REST, MIME, so how hard can it be? Actually not very hard, you just need to:
Migrating the users' encryption keys and secured documents could be considered "an application function", so you dodge a potential problem here.
Getting the data out, short of that pesky RichText content (yeah, the one with sections and embedded OLE controls), is easy - never mind reader and author access protection.
The transformation into the target format happens in a black box (the same the local magician uses for his tricks), you buy from a service provider, so that's covered, leaves platform and applications. (Bring your own <irony /> tags)
Lets have a look at the moving parts (Listing OpenSource components only, you can research commercial ones on your own):
Once you got all the moving parts in place, you need to redevelop your apps. Don't be fooled, but run the analysis, to see the full magnitude of that task ahead.
As usual YMMV
Notes data is available via LotusScript, dotNet (through the COM bridge), in Java, Corba, C++, XML, REST, MIME, so how hard can it be? Actually not very hard, you just need to:
- Find sutiable replacement application platform(s)
- Rewrite the applications (don't dream: there is no such thing as "migrate an app")
- Migrate your users
- Migrate your data
Migrating the users' encryption keys and secured documents could be considered "an application function", so you dodge a potential problem here.
Getting the data out, short of that pesky RichText content (yeah, the one with sections and embedded OLE controls), is easy - never mind reader and author access protection.
The transformation into the target format happens in a black box (the same the local magician uses for his tricks), you buy from a service provider, so that's covered, leaves platform and applications. (Bring your own <irony /> tags)
Lets have a look at the moving parts (Listing OpenSource components only, you can research commercial ones on your own):
- Directory : OpenLDAP comes with most Linux distributions and is well understood. It doesn't take you down the propriarty extension hell (and you can remove obsolete schema parts) - it requires an RDBMS to run (not a blue one)
- PKI : PrimeKey
- Sync Server : For the database you could get away with the database, but you need one for mobile: Z-Push
- Document Server : Pick any - or go with: Dropbox, Box, Copy etc.
- Database Server : Notes is the mother of NoSQL, so you want to pick one of those: CouchDB, OrientDB or you go with DB/2 PureXML
- Application Server : XPages is full fledged JSF, you you might opt for TomEE, but you will need some extra libraries. Or you ditch Java and adopt the cool kid on the block
- Mail Server : the venerable SendMail does, as the name implies, send mail. Goes nicely with Mozilla Thunderbird
- Web Server : That's easy. There's NGinX or Apache
- Enterprise Integration : Might be quite tricky. Domino's DECS and LEI shuffle data from all sorts of sources. OpenESB might do the trick
- Task scheduling : You can use OS level CRON (Just find a nice UI) or application level Quartz
- configured
- hardened
- populated with data
Once you got all the moving parts in place, you need to redevelop your apps. Don't be fooled, but run the analysis, to see the full magnitude of that task ahead.
As usual YMMV
Posted by Stephan H Wissel on 29 May 2014 | Comments (7) | categories: IBM Notes


Web Developer
Origin Story
Welcome to My website :D !! My name is Mateo Ferreira I'm a New York-based photographer and freelancer from Ecuador. Owner of Hamptons 360 Photo; Virtual Tours and Real state Photography. Im currently enrolled at Columbia university coding Bootcamp, persuing my dream to become a software developer. This Portfolio showcases some Projects.


Endobox adds a Parents back channel, like a group chat you might have in a
scout group or kids soccer team that keeps you, the parents, coordinating and in
control.
Bring your child’s online experience back into the real world.
Know you can be there when they need you - even when you’re busy.
Coordinate with other parents to manage your children’s behaviour
in-game.
Endobox has Safety & Checking Tools for Parents, that notifies you via
an app when it looks like something might be up. It also gives you the ability to manage the
game time and notifications of inappropriate behaviour.
Be satisfied that they’re
doing the right thing and have peace of mind.
With EndoBox your little one gets their own fun, safe private Minecraft world
to play together with their friends.
Form a tribe.
Invite friends you know and
trust.
It’s like inviting their friends over to play in your own backyard.
It’s
easy to host an online play space for the little ones, with your own rules.
With a
variety of mini games, and access to a multiverse of worlds, your child and their friends will
never run out of things to do! And best of all, it’s just them, no-one else coming by so their
creations and adventures are always safe among friends.
With Endobox, your children
will never have weird, uncomfortable or risky conversations with strangers in-game.


◆ $paramtypesmap
◆ _laborRun
| const _laborRun = "_laborRun" |
◆ _laborRunOverhead
| const _laborRunOverhead = "_laborRunOverhead" |
◆ _laborSetup
| const _laborSetup = "_laborSetup" |
◆ _laborSetupOverhead
| const _laborSetupOverhead = "_laborSetupOverhead" |
◆ _landed
| const _landed = "_landed" |
◆ _machineRun
| const _machineRun = "_machineRun" |
◆ _machineRunOverhead
| const _machineRunOverhead = "_machineRunOverhead" |
◆ _machineSetup
| const _machineSetup = "_machineSetup" |
◆ _machineSetupOverhead
| const _machineSetupOverhead = "_machineSetupOverhead" |
◆ _material
| const _material = "_material" |
◆ _materialOverhead
| const _materialOverhead = "_materialOverhead" |
◆ _service
| const _service = "_service" |
The documentation for this class was generated from the following file:


--- title: Reflecting on Christmas dinner author: '' date: '2018-12-29' slug: reflecting-on-christmas-dinner categories: [] tags: - Personal - Recipes description: Reflections on making 2018 Christmas dinner hacker_news_id: '' lobsters_id: '' meta_img: /images/image.jpg ---
A sign of getting older is when visiting home for the holidays is more stressful than not. With every year that passes, a responsibility gets added to my plate. And with this year, both the metaphorical and literal plate as preparing Christmas dinner became one of the layered responsibilities.
And like all great heroes, I didn’t ask for this responsibility; it was simply bestowed upon me against my will.
I mourn for a time when the holidays were about predicting what gifts I’d receive, and my biggest worry was whether or not I’d be expected to share my gifts with my sister. Holidays are now about headcount and logistics planning. The best Christmas gift you can hope for is that everyone shows up on time, and preferably sober.
If you’re like me and put many things to last minute, you’ll find that grocery shopping on Christmas eve is a depressing event akin to Black Friday shopping, except everything you buy is meant for the consumption and enjoyment of others. Everyone shopping is in a state of panic and distress, desperately hoping to cross off the remaining items on their grocery lists, the shelves are barren, the produce in disarray, and good luck trying to find a store clerk available and willing to help.
Nonetheless, I found it somewhat touching to be trusted with deciding my family’s Christmas dinner. I guess that’s what desperation will do to a family.
2018 Carey family Christmas menu:


Per-test timeout, in milliseconds, after which a hang dump is triggered and the test host process and all of its child processes
are dumped and terminated.
When used together with data driven tests, the timeout behavior depends on the test adapter used. For xUnit and NUnit the timeout
is renewed after every test case. For MSTest, the timeout is used for all test cases. This option is supported on Windows with
netcoreapp2.1 and later, on Linux with netcoreapp3.1 and later, and on macOS with net5.0 or later.
Implies --blame
and --blame-hang
.
Available since: .NET 5.0 preview SDK


{%extends 'layout.html'%} {%load static%} {load bootstrap4} {{block.supper}} {%block content%}
Marched {{results|length}} related Posts
{%else%}Either {{term}} Has not to shared any projects or has no profile !
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All public utility methods for exporting Estimator to SavedModel.
tf.compat.v2.estimator.export
This file includes functions and constants from core (model_utils) and export.py
class ClassificationOutput
: Represents the output of a classification head.
class ExportOutput
: Represents an output of a model that can be served.
class PredictOutput
: Represents the output of a generic prediction head.
class RegressionOutput
: Represents the output of a regression head.
class ServingInputReceiver
: A return type for a serving_input_receiver_fn.
class TensorServingInputReceiver
: A return type for a serving_input_receiver_fn.
build_parsing_serving_input_receiver_fn(...)
: Build a serving_input_receiver_fn expecting fed tf.Examples.
build_raw_serving_input_receiver_fn(...)
: Build a serving_input_receiver_fn expecting feature Tensors.


EUL proteins domain sequences plant sequence N-terminal genes protein domains plants lectin genome different EULs Euonymus expression file Figure Arabidopsis (Figure Van lectins two-domain {border-style encoding family identified domain. px;} single species #ffffff;} gene long single-domain Additional Selaginella database rice types Proteins S-type Type analysis short stress unrelated ArathEULS Plant analyses domains. tandem tree Damme EST acid arrayed complex consisting contains expressed intron phylogenetic revealed set transcriptome EJM OSR Peumans conserved express genomic introns linker lower plants. role using (Additional containing databases evidence higher moellendorfii monocots novel residues) C-terminal Sorghum Table amino carbohydrate-binding data genomes located number occurrence preceded proteins. type vacuolar (e.g. ESTs However, available contain europaeus identical leaves partition px; structural structure {font-family EULS First, Oryza S). Second, Zea agglutinin biological complete corresponding detected distribution domain, family. font-size identification indicated medium present represents retrieved second separated used BLAST EEA TIGR alignment based bicolor, cells classified comprise comprises double; duplication extension flowering length mays, new overall patens salt sativa, searches shown signal thaliana unit (< AA) Aedes EULs. Embryophyta Fouquaert Glycine Hordeum Lannoo Medicago Physcomitrella Picea Pinus Populus Schematic SelmoEULS, Triticum Vitis abiotic activity aestivum, apparently architecture border-color border-width cDNA comprising cytoplasmic/nuclear developed evolution evolutionary given high highly indicates known large orthologs overview peptide peptides physiological positioned putative recently related root search similar similarity solid; sp., stop taxonomic treatment ubiquitous vulgare, {font-style {font-weight 'OSR' (At -fold Based Bioinformatics Comprehensive Marchantia Physiol Pseudomonas Ricinus Rougé Similarly addition, additional aegypti apparent best bicolor bold case cell chromosome classification cluster completed considered consist courier; cytoplasm cytoplasmic differ domain(s) drawn em; endogenous exon expressed. extension. extra families forms genuine guard important interact lectins: maize molecular monocot moss nearly nucleotide organisms ortholog performed program provided pt;} refer residues respective response sativa shaded silico species. structurally studied suggesting syringae taeda, term terms terrestrial tomato value virtually widespread


Was I born in Los Angeles County? No Do I love bagels? Yes Have I ever broken a bone? No Do I binge watch TV? Definitely, yes. Am I an amazing bowler? Definitely, no.


Introduction to Segmentation Supporting tagline
Image and Video Segmentation
1.the basic idea is that we want to separate objects.
2.We want to call different objects by different names, depending on some properties of those objects.
Foreground Background Segmentation
So for example, here we have a cat and we want to make sure that we find the boundary of this cat and we can separate he cat here from it’s background.
this type of segmentation is called foreground background
Electro Microscopy Segmentation
Sometimes, what we actually need is to label every thing that have been seen the image.
So to find regions in these image, which is an image of neurons taking with a technique called electro microscopy.
After Effects - this is what’s behind a very important component of one of Adobe’s products.
We have the video and we have a similar video, but with a different background.
For doing that, we had to extract the main object here from the video.
So, we are able to produce a different background for that.
On Edges and Regions - 5.2
Hough Transform with Matlad Demo - 5.3
The Hough transform is a really nice technique to detect objects, to segment out objects, for which you know their shape.
For example we want to detect the ball. We know it’s circular
we include that information in our detection, in our segmentation technique, to detect that it’s actually circular.
Line Segment Detector with Demo - 5.4
[online] (http://www.ipol.im/pub/art/2012/gjmr-lsd/)


Secret Island's Retreat
Please send carrier pigeons to: 0000 Secret Island Way, South Pacific
email: secretislandsretreat@gmail.com


{% comment %} Trustroots Team Guide template Extends jekyll-theme-cayman theme — see original file: https://github.com/pages-themes/cayman/blob/4b7215bd058e0695ebb3fa6929bf8fd0b3bf3714/_layouts/default.html See Instructions for how to modify and run this template locally: https://help.github.com/articles/setting-up-your-github-pages-site-locally-with-jekyll/ https://help.github.com/articles/customizing-css-and-html-in-your-jekyll-theme/ https://help.github.com/categories/customizing-github-pages/ https://jekyllrb.com/docs/themes/ {% endcomment %}
{% if site.google_analytics %} {% endif %} {% seo %} Skip to the content.


This is my first webpage
Isn't it nice?
Here are some things that I'm going to learn about coding:
I really like some different websites! Here are a couple I spent a lot of time on or enjoy -
Here are links to other pages I've made!
My Favorite Places My Favorite Things


What is Python REST API Framework
First Step Building a user endpoint
Enter search terms or a module, class or function name.


What we do
We provide high quality pet grooming services and we sell the best productis for maintaining your pets clean and healthy. The pets that we work with are mostly suburban pets i.e. cats, dogs, rabbits etc. We encourage people to send thei pets to a pet training school so they can fully embrace their yet unlearned skills. We recommend that you send your pets to the local pet training school. Enroll by clicking here


To build a bridge between doctors and patients so that patients can find ways to have good medical check-ups and guidance to keep their health in normal condition.
We will never knowingly undermine continuity of care
We will foster a company-wide ethos that prevention is better than cure
We will transparently reveal the results of any clinical initiative we undertake irrespective of whether they support or hinder our business goals
We will respect the privacy of patient details and maintain strict confidentiality of any patient information
We will closely scrutinise every decision we make to ensure they reflect each of our values
We will never endorse non evidence-based health services on our platform


$ ruby -e 'puts "Hello"'
Hello
$ echo 'main = putStrLn "Hello"' > main.hs
$ ghc -o main main.hs
$ ./main
Hello
String
Enumerable
NoMethodError
def current_user
User.find(session[:user_id]) || Guest.new
end
detect :: (a -> Bool) -> [a] -> Maybe a
detect = -- ...
-- I never said what table to select from
users <- runDB $ selectList [] []
-- but because `userName` can only operate on Users, the
-- system will *infer* that I wanted Users
map userName users
Construct programs as a composition of Objects
p = Person.new("Pat", 28)
p.age
# => 28
p.grow
p.age
# => 29
the new hotness
Construct programs as a composition of Functions
let p = Person "Pat" 28
p' = grow p
in (age p, age p')
-- => (28, 29)


Author(s): {{bookDetailCtrl.book.authors}}
Categories: {{bookDetailCtrl.book.categories}}
Language(s): {{bookDetailCtrl.book.language}} (View language codes here)
Information: Click here to visit the Google Books page
Page count: {{bookDetailCtrl.book.pageCount}}
Published date: {{bookDetailCtrl.book.publishedDate}}
Publisher(s): {{bookDetailCtrl.book.publisher}}
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Reviews:
Leave a review here:
{{review.fullText}}


14 March 2002
Disease Outbreak Reported
Gabon: On 12 March 2002, the Gabonese Ministry of Health reported 60 confirmed cases, including 50 deaths. The most recent cases are confined to Ogooue-Invindo province. The last confirmed cases died in Makokou and Mekambo on 23 February and 10 March, respectively. Sixty-two contacts are being followed.
Republic of the Congo: As of 9 March 2002, 31 confirmed cases, including 18 deaths have been reported in villages in Cuvette region, Republic of the Congo, close to the border with Ogooue-Invindo province, Gabon. Currently 58 contacts are being followed in the Republic of the Congo.
Reports were received of deaths between mid-January and 8 March in 3 remote villages approximately 65 kilometres north-west of Kelle. The majority of the cases occurred in Ambomi. A 50 kilometre road has just been re-opened, and a team from Médecins sans Frontières (MSF-Holland), presently in Kelle, will travel to the villages as soon as possible. They are being joined by staff from WHO, the Congolese Ministry of Health and Epicentre-Paris, a partner in the Global Outbreak Alert and Response Network. They will be collecting samples and quickly referring them for laboratory analysis and are prepared to implement barrier nursing practices, surveillance and health education activities, if indicated. WHO is providing additional protective equipment.


|
Boost.Nowide
|
A class that allows to create a temporary wide or narrow UTF strings from wide or narrow UTF source. More...
#include <boost/nowide/stackstring.hpp>
Public Types | |
| typedef CharOut | output_char |
| typedef CharIn | input_char |
Public Member Functions | |
| basic_stackstring (basic_stackstring const &other) | |
| void | swap (basic_stackstring &other) |
| basic_stackstring & | operator= (basic_stackstring const &other) |
| bool | convert (input_char const *input) |
| bool | convert (input_char const *begin, input_char const *end) |
| output_char * | c_str () |
| output_char const * | c_str () const |
| void | clear () |
Static Public Attributes | |
| static const size_t | buffer_size = BufferSize |
A class that allows to create a temporary wide or narrow UTF strings from wide or narrow UTF source.
It uses on stack buffer of the string is short enough and allocated a buffer on the heap if the size of the buffer is too small