PMC:7333997 / 17390-19163
Annnotations
LitCovid_Glycan-Motif-Structure
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T15 | 655-659 | https://glytoucan.org/Structures/Glycans/G56516VH | denotes | g/m3 |
T16 | 655-659 | https://glytoucan.org/Structures/Glycans/G91237TK | denotes | g/m3 |
T17 | 764-768 | https://glytoucan.org/Structures/Glycans/G56516VH | denotes | g/m3 |
T18 | 764-768 | https://glytoucan.org/Structures/Glycans/G91237TK | denotes | g/m3 |
T19 | 954-958 | https://glytoucan.org/Structures/Glycans/G56516VH | denotes | g/m3 |
T20 | 954-958 | https://glytoucan.org/Structures/Glycans/G91237TK | denotes | g/m3 |
T21 | 1135-1139 | https://glytoucan.org/Structures/Glycans/G56516VH | denotes | g/m3 |
T22 | 1135-1139 | https://glytoucan.org/Structures/Glycans/G91237TK | denotes | g/m3 |
T23 | 1249-1253 | https://glytoucan.org/Structures/Glycans/G56516VH | denotes | g/m3 |
T24 | 1249-1253 | https://glytoucan.org/Structures/Glycans/G91237TK | denotes | g/m3 |
T25 | 1378-1382 | https://glytoucan.org/Structures/Glycans/G56516VH | denotes | g/m3 |
T26 | 1378-1382 | https://glytoucan.org/Structures/Glycans/G91237TK | denotes | g/m3 |
LitCovid-PMC-OGER-BB
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T64 | 591-594 | CHEBI:8102;CHEBI:8102 | denotes | PM2 |
T65 | 607-616 | CHEBI:33893;CHEBI:33893 | denotes | pollutant |
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T13 | 898-905 | Body_part | denotes | Capital | http://purl.org/sig/ont/fma/fma23727 |
T14 | 1079-1086 | Body_part | denotes | Capital | http://purl.org/sig/ont/fma/fma23727 |
T15 | 1447-1454 | Body_part | denotes | Capital | http://purl.org/sig/ont/fma/fma23727 |
T16 | 1604-1611 | Body_part | denotes | Capital | http://purl.org/sig/ont/fma/fma23727 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T96 | 86-87 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T97 | 103-105 | http://purl.obolibrary.org/obo/CLO_0050509 | denotes | 27 |
T98 | 127-128 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T99 | 252-253 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T100 | 302-304 | http://purl.obolibrary.org/obo/CLO_0053733 | denotes | 11 |
T101 | 394-395 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T102 | 630-631 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T103 | 689-690 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T104 | 739-740 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T105 | 770-773 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
T106 | 865-866 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T107 | 1054-1055 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T108 | 1209-1212 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
T109 | 1213-1214 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T110 | 1413-1415 | http://purl.obolibrary.org/obo/CLO_0050510 | denotes | 18 |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
101 | 1496-1503 | Disease | denotes | Colombo |
104 | 1323-1329 | Chemical | denotes | Astana |
105 | 1148-1155 | Disease | denotes | Colombo |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T155 | 0-9 | Sentence | denotes | 4.1 Asia |
T156 | 10-82 | Sentence | denotes | From Fig. 1, Fig. 2 , the most polluting capitals of Asia are presented. |
T157 | 83-306 | Sentence | denotes | At a general level, 27% of the capitals had a tendency to decrease the PM2.5 emission during Qut, however, the cities Kathmandu, Hanoi, Jakarta, Singapore and Tokyo had a tendency to increase the PM2.5 concentration by 11%. |
T158 | 307-494 | Sentence | denotes | It should be noted that Tokyo, with the exception of the other cities, did not present a mandatory quarantine but as an option of the Government, they requested non-mandatory teleworking. |
T159 | 495-660 | Sentence | denotes | For the analyzed Asian capitals, Dhaka in typical times (BQut), is the capital with the highest PM2.5 particles pollutant, registering a weekly average of 183 μg/m3. |
T160 | 661-726 | Sentence | denotes | This capital city, presents a reduction of 24% in the Qut period. |
T161 | 727-897 | Sentence | denotes | Delhi, with a weekly average of 140 μg/m3, has the highest reduction in particles polluting compared to other Asian countries, presenting a 40% reduction during Qut week. |
T162 | 898-1031 | Sentence | denotes | Capital cities with an average concentration of 121.91 μg/m3 (Kabul, Ullabantar and Kuwait City) show average reductions of 33% BQut. |
T163 | 1032-1078 | Sentence | denotes | However, Bejing shows a lower reduction of 8%. |
T164 | 1079-1201 | Sentence | denotes | Capital cities with an average concentration of 106.83 μg/m3 (Kabul, Colombo and Tashkent) show average reductions of 28%. |
T165 | 1202-1254 | Sentence | denotes | Tehran has a typical week concentration of 90 μg/m3. |
T166 | 1255-1313 | Sentence | denotes | However, its reduction during the quarantine week was 39%. |
T167 | 1314-1439 | Sentence | denotes | Finally, Astana, with an average weekly concentration of 61.25 μg/m3, reduced its concentration by 18% during the Qut season. |
T168 | 1440-1596 | Sentence | denotes | Fig. 1 Capital cities Ankara, Astana, Bangkok, Beijing, Colombo, Delhi, Dhaka, Kabul and Hanoi, PM2.5 levels before and during quarantine (WAQ Index, 2020). |
T169 | 1597-1773 | Sentence | denotes | Fig. 2 Capital cities Jakarta, Kathmandu, Kubait city, Ulaanbaatar, Tashkent, Tehran, Tel Aviv, Tokio and Singapore PM2.5 levels before and during quarantine (WAQ Index, 2020). |