PMC:7589389 / 33767-34512
Annnotations
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T15 | 33-36 | Body_part | denotes | H2a | http://purl.org/sig/ont/fma/fma84129 |
T16 | 41-44 | Body_part | denotes | H2b | http://purl.org/sig/ont/fma/fma84130 |
T17 | 557-560 | Body_part | denotes | H2a | http://purl.org/sig/ont/fma/fma84129 |
T18 | 565-568 | Body_part | denotes | H2b | http://purl.org/sig/ont/fma/fma84130 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T169 | 24-28 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | test |
T170 | 202-205 | http://purl.obolibrary.org/obo/CLO_0008693 | denotes | R&D |
T171 | 202-205 | http://purl.obolibrary.org/obo/CLO_0008770 | denotes | R&D |
T172 | 368-369 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T173 | 552-556 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | test |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T18 | 303-305 | Chemical | denotes | FE | http://purl.obolibrary.org/obo/CHEBI_74712 |
T19 | 317-319 | Chemical | denotes | FE | http://purl.obolibrary.org/obo/CHEBI_74712 |
T20 | 331-333 | Chemical | denotes | FE | http://purl.obolibrary.org/obo/CHEBI_74712 |
LitCovid-PD-GO-BP
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T11 | 667-673 | http://purl.obolibrary.org/obo/GO_0040007 | denotes | growth |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T244 | 0-4 | Sentence | denotes | 5.1. |
T245 | 5-20 | Sentence | denotes | Research Design |
T246 | 21-507 | Sentence | denotes | To test the H2a and H2b, we generate the regression model as follows:CAR = β0 + β1CIPHT + β2CIPHT × Conditioning_VAR + β3Conditioning_VAR + β4PRO_CASE + β5SIZE + β6ROA + β7CURR + β8R&D + β9LOSS + β10LEV + β11OPCF + β12TURN + β13CEO_AGE+ β14CEO_COM + β15CEO_TEN + β16CEO_DUA + Week FE + Industry FE + Province FE + ε(3) where Conditioning_VAR is a conditioning variable that moderates the association between continued increasing public health threats and accumulative abnormal return. |
T247 | 508-548 | Sentence | denotes | All other variables are above-mentioned. |
T248 | 549-688 | Sentence | denotes | To test H2a and H2b, Conditioning_VAR is in terms of the provincial information accessibility and provincial economic growth, respectively. |
T249 | 689-745 | Sentence | denotes | We explain the detail proxies in the following sections. |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
218 | 41-44 | Gene | denotes | H2b | Gene:8349 |
219 | 565-568 | Gene | denotes | H2b | Gene:8349 |
220 | 33-36 | Gene | denotes | H2a | Gene:113457 |
221 | 557-560 | Gene | denotes | H2a | Gene:113457 |