This is a table of type proper and their frequencies. Use it to search & browse the list to learn more about your study carrel.
| proper | frequency |
|---|---|
| COVID-19 | 492 |
| Knowledge | 153 |
| SARS | 152 |
| MERS | 102 |
| Health | 97 |
| Fig | 75 |
| CoV | 72 |
| Table | 69 |
| Saudi | 67 |
| Arabia | 64 |
| China | 57 |
| AINI | 57 |
| University | 51 |
| Group | 49 |
| IS | 48 |
| Jordan | 41 |
| World | 41 |
| KAMI | 39 |
| HCWs | 39 |
| KAP | 38 |
| Coronavirus | 38 |
| Forum | 36 |
| A | 36 |
| March | 33 |
| neurosurgery | 31 |
| CI | 30 |
| Middle | 29 |
| CAPP | 29 |
| East | 28 |
| April | 28 |
| SP | 28 |
| Organization | 28 |
| Bangladesh | 27 |
| Research | 27 |
| sha | 26 |
| Sciences | 26 |
| PPE | 26 |
| Bereiter | 26 |
| WHO | 25 |
| United | 25 |
| Ministry | 25 |
| Italy | 25 |
| SAINT | 23 |
| Disease | 23 |
| Scardamalia | 23 |
| SPSS | 23 |
| Syndrome | 23 |
| Language | 22 |
| 22 | |
| CoV-2 | 22 |
| B | 22 |
| Wuhan | 21 |
| PKB | 21 |
| Information | 21 |
| Flu | 21 |
| C | 21 |
| DOI | 20 |
| Model | 20 |
| M. | 19 |
| Layer | 19 |
| International | 19 |
| AKEA | 19 |
| Medical | 19 |
| ± | 18 |
| States | 18 |
| Respiratory | 18 |
| Pathfinder | 18 |
| Ethiopia | 18 |
| Control | 18 |
| ALICE | 18 |
| Cronbach | 17 |
| CDC | 17 |
| Hospital | 17 |
| HIV | 17 |
| USA | 17 |
| • | 16 |
| SAINT+ | 16 |
| Prevention | 16 |
| OpenClinical | 16 |
| Natural | 16 |
| February | 16 |
| College | 16 |
| Avian | 15 |
| Kingdom | 15 |
| Chi | 15 |
| STELP | 15 |
| Kuwait | 15 |
| Social | 15 |
| Mizan | 15 |
| Vietnam | 14 |
| Singapore | 14 |
| Review | 14 |
| May | 14 |
| Management | 14 |
| King | 14 |
| FB | 14 |
| English | 13 |
| Aman | 13 |
| BY | 13 |
| CC | 13 |
| D | 13 |
| PKP | 13 |
| Extraction | 13 |
| Global | 13 |
| PK | 13 |
| SB | 13 |
| SR | 13 |
| Canada | 12 |
| Europe | 12 |
| Egypt | 12 |
| MOH | 12 |
| Application | 12 |
| Africa | 12 |
| AI | 12 |
| J | 12 |
| Polyphony | 12 |
| PMS | 12 |
| Zhang | 12 |
| Process | 12 |
| Public | 12 |
| Science | 12 |
| SemMedDB | 12 |
| Semantic | 12 |
| PageRank | 12 |
| Libya | 11 |
| Aalst | 11 |
| Agency | 11 |
| Al | 11 |
| America | 11 |
| Data | 11 |
| Ghana | 11 |
| Likert | 11 |
| Martin | 11 |
| Medicine | 11 |
| NC | 11 |
| ND | 11 |
| TTSH | 11 |
| medRxiv | 11 |
| van | 11 |
| IB | 10 |
| BERT | 10 |
| Center | 10 |
| Committee | 10 |
| DK | 10 |
| December | 10 |
| Discourse | 10 |
| EdNet | 10 |
| TM | 10 |
| Intelligence | 10 |
| KSA | 10 |
| New | 10 |
| North | 10 |
| Pakistan | 10 |
| Pearson | 10 |
| Practices | 10 |
| Quality | 10 |
| N. | 9 |
| CNN | 9 |
| Centers | 9 |
| Gondar | 9 |
| KD | 9 |
| Lebanon | 9 |
| Minh | 9 |
| Business | 9 |
| Niebel | 9 |
| TREC | 9 |
| Thai | 9 |
| US | 9 |
| covid-19 | 9 |
| nan | 9 |
| social | 9 |
| Singaporeans | 9 |
| Covid-19 | 8 |
| Graph | 8 |
| Grade | 8 |
| Faculty | 8 |
| 8 | |
| FAQ | 8 |
| Domain | 8 |
| CD69 | 8 |
| Council | 8 |
| City | 8 |
| Ho | 8 |
| Brooks | 8 |
| Board | 8 |
| Agent | 8 |
| < | 8 |
| Hakkarainen | 8 |
| ELIZA | 8 |
| Iran | 8 |
| Shiraz | 8 |
| LBD | 8 |
| α | 8 |
| sciences | 8 |
| dithiocarbamate | 8 |
| WpKG | 8 |
| Silver | 8 |
| sars | 8 |
| Senanayake | 8 |
| Scoones | 8 |
| National | 8 |
| Mohammed | 8 |
| Meta | 8 |
| SemRep | 8 |
| Learning | 8 |
| IBM | 7 |
| H5N1 | 7 |
| Hmelo | 7 |
| Hong | 7 |
| Malaysia | 7 |
| Jordanians | 7 |
| Lee | 7 |
| NLP | 7 |
| Ebola | 7 |
| Fox | 7 |
| AIDS | 7 |
| E | 7 |
| Computer | 7 |
| CoV. | 7 |
| Chan | 7 |
| Brown | 7 |
| American | 7 |
| AIML | 7 |
| AAA | 7 |
| Network | 7 |
| Neo4j | 7 |
| Statistical | 7 |
| Neurosurgery | 7 |
| pyrrolidine | 7 |
| Novel | 7 |
| health | 7 |
| east | 7 |
| 7 | |
| Tracking | 7 |
| Technology | 7 |
| Systems | 7 |
| Survey | 7 |
| Study | 7 |
| Topic | 7 |
| South | 7 |
| S. | 7 |
| Response | 7 |
| R | 7 |
| Processing | 7 |
| Population | 7 |
| Pharmacy | 7 |
| Pandemic | 7 |
| Sect | 7 |
| Ethics | 6 |
| Corpus | 6 |
| Development | 6 |
| Diseases | 6 |
| Education | 6 |
| Hesse | 6 |
| Framework | 6 |
| GCC | 6 |
| H1N1 | 6 |
| Bloom | 6 |
| Community | 6 |
| Adam | 6 |
| Bird | 6 |
| Bayesian | 6 |
| BMJ | 6 |
| Automated | 6 |
| Attitudes | 6 |
| Artificial | 6 |
| Appendix | 6 |
| Ahmed | 6 |
| Addis | 6 |
| Inc. | 6 |
| IT | 6 |
| DistMult | 6 |
| Infection | 6 |
| Query | 6 |
| Int | 6 |
| corpus | 6 |
| Workers | 6 |
| Uncertainty | 6 |
| UK | 6 |
| U | 6 |
| System | 6 |
| Shattuck | 6 |
| Service | 6 |
| SAKT | 6 |
| Risk | 6 |
| U.S. | 6 |
| PubMed | 6 |
| Mindpixel | 6 |
| January | 6 |
| Practice | 6 |
| KP | 6 |
| Matrix | 6 |
| Kong | 6 |
| Nepal | 6 |
| Northern | 6 |
| PFMEA | 6 |
| Government | 5 |
| K | 5 |
| IQR | 5 |
| FSM | 5 |
| Ideas | 5 |
| Impact | 5 |
| Institutional | 5 |
| Journal | 5 |
| MOPH | 5 |
| K. | 5 |
| M | 5 |
| MINIPAR | 5 |
| MR | 5 |
| Mann | 5 |
| ECC | 5 |
| Manufacturing | 5 |
| EID | 5 |
| C. | 5 |
| E. | 5 |
| COVID | 5 |
| Mobile | 5 |
| AUC | 5 |
| Abdulaziz | 5 |
| Abstract | 5 |
| Alpha | 5 |
| Arabian | 5 |
| Butylated | 5 |
| Care | 5 |
| Design | 5 |
| Cohen | 5 |
| Communication | 5 |
| ComplEx | 5 |
| Conference | 5 |
| Conversational | 5 |
| DKT | 5 |
| DKVMN | 5 |
| Maps | 5 |
| Neural | 5 |
| Modeling | 5 |
| September | 5 |
| Statistics | 5 |
| Student | 5 |
| Van | 5 |
| Wallis | 5 |
| War | 5 |
| Web | 5 |
| West | 5 |
| Western | 5 |
| Whitney | 5 |
| Yahoo | 5 |
| a1111111111 | 5 |
| lt | 5 |
| outsource | 5 |
| subcode | 5 |
| Mohamed | 5 |
| Society | 5 |
| middle | 5 |
| Sedell | 5 |
| Professor | 5 |
| N | 5 |
| Search | 5 |
| Nguyen | 5 |
| Package | 5 |
| Physicians | 5 |
| Policy | 5 |
| Prelec | 5 |
| Nigeria | 5 |
| Question | 5 |
| Riyadh | 5 |
| RNN | 5 |
| Recognition | 5 |
| Sardar | 5 |
| Region | 5 |
| RCA | 5 |
| General | 4 |
| Foundation | 4 |
| FHIR | 4 |
| Evenett | 4 |
| Evaluation | 4 |
| Entity | 4 |
| Eq | 4 |
| Epidemiological | 4 |
| Ehrlichia | 4 |
| Egyptian | 4 |
| Dr. | 4 |
| Griffin | 4 |
| District | 4 |
| Genome | 4 |
| Human | 4 |
| Gujarati | 4 |
| Gulf | 4 |
| H. | 4 |
| HA | 4 |
| HBV | 4 |
| HCMC | 4 |
| HCW | 4 |
| Hydroxytoluene | 4 |
| I | 4 |
| ICT | 4 |
| IEC-61499 | 4 |
| IPCC | 4 |
| Institute | 4 |
| Cyc | 4 |
| DAMA | 4 |
| Attribution | 4 |
| Crisis | 4 |
| Coronaviruses | 4 |
| JIBP | 4 |
| 8) | 4 |
| ACC | 4 |
| ANOVA | 4 |
| ATK | 4 |
| Ababa | 4 |
| Analysis | 4 |
| Anthropocene | 4 |
| Arabic | 4 |
| Asia | 4 |
| Assche | 4 |
| Assessment | 4 |
| Awareness | 4 |
| B. | 4 |
| BMC | 4 |
| BRI | 4 |
| Based | 4 |
| BioBERT | 4 |
| COVID-19-specific | 4 |
| COVID-2019 | 4 |
| Cairo | 4 |
| California | 4 |
| Cavallo | 4 |
| Client | 4 |
| Commons | 4 |
| Conversation | 4 |
| Cooperation | 4 |
| Iterative | 4 |
| Creative | 4 |
| Japan | 4 |
| Town | 4 |
| S | 4 |
| SEIS | 4 |
| SMNG | 4 |
| SNE | 4 |
| STS | 4 |
| Serbia | 4 |
| Sri | 4 |
| StataCorp | 4 |
| Stirling | 4 |
| TLR4 | 4 |
| Tanzania | 4 |
| Temporal | 4 |
| Time | 4 |
| Tracing | 4 |
| RotatE | 4 |
| Travel | 4 |
| UA | 4 |
| VG | 4 |
| Visualization | 4 |
| Wang | 4 |
| Wenger | 4 |
| Zavestoski | 4 |
| chauvoei | 4 |
| cov-2 | 4 |
| disease | 4 |
| doc_id | 4 |
| ya | 4 |
| June | 4 |
| ∞ | 4 |
| author(s | 4 |
| Retrieval | 4 |
| Med | 4 |
| KM | 4 |
| Reasoning | 4 |
| Kenya | 4 |
| Kobrin | 4 |
| Korea | 4 |
| Krajcik | 4 |
| Kruskal | 4 |
| LSTM | 4 |
| Lancet | 4 |
| Lanka | 4 |
| Level | 4 |
| Loebner | 4 |
| MRR | 4 |
| Kolodner | 4 |
| Mohammad | 4 |
| Planning | 4 |
| Northwest | 4 |
| Rahman | 4 |
| Qassim | 4 |
| Prize | 4 |
| Questions | 4 |
| RNA | 4 |
| Online | 4 |
| PROforma | 4 |
| PR | 4 |
| Pennsylvania | 4 |
| OpenClinical.net | 4 |
| Features | 3 |
| First | 3 |
| Font | 3 |
| Freire | 3 |
| Gundling | 3 |
| Funke | 3 |
| Generation | 3 |
| Grant | 3 |
| Fast | 3 |
| Groups | 3 |
| GARI | 3 |
| Environmental | 3 |
| F. | 3 |
| Ethiopian | 3 |
| Epidemiology | 3 |
| Epi | 3 |
| Engines | 3 |
| Engeström | 3 |
| Embodied | 3 |
| Egyptians | 3 |
| Effect | 3 |
| Healthcare | 3 |
| Educ | 3 |
| Hanawi | 3 |
| Jersey | 3 |
| Helsinki | 3 |
| July | 3 |
| EKT | 3 |
| MNE | 3 |
| MERS- | 3 |
| Lundan | 3 |
| Law | 3 |
| Latour | 3 |
| Langston | 3 |
| Laboratory | 3 |
| LAA | 3 |
| K6 | 3 |
| Intelligent | 3 |
| Hits@k | 3 |
| Infectious | 3 |
| Industry | 3 |
| Indians | 3 |
| ISO | 3 |
| IRB | 3 |
| II | 3 |
| IEC | 3 |
| ICU | 3 |
| Hulme | 3 |
| Hubei | 3 |
| Earth | 3 |
| BlueBERT | 3 |
| Dr | 3 |
| Answering | 3 |
| Buruli | 3 |
| Buckley | 3 |
| Master | 3 |
| Biomedical | 3 |
| Bielaczyc | 3 |
| Bank | 3 |
| Background | 3 |
| BKT | 3 |
| Australia | 3 |
| Askarian | 3 |
| Annotated | 3 |
| CORD-19 | 3 |
| Ali | 3 |
| Aided | 3 |
| Agents | 3 |
| Abdullah | 3 |
| AKT | 3 |
| ABC | 3 |
| AAF | 3 |
| A2 | 3 |
| A. | 3 |
| A-1 | 3 |
| CAM | 3 |
| COVID‐19 | 3 |
| Director | 3 |
| ConceptNet | 3 |
| Diebold | 3 |
| Descotte | 3 |
| Deontics | 3 |
| Definition | 3 |
| Davis | 3 |
| Damery | 3 |
| DBGlobe | 3 |
| D. | 3 |
| Cross | 3 |
| Cooper | 3 |
| Comput | 3 |
| Cantwell | 3 |
| Comprehensive | 3 |
| Compliance | 3 |
| Colony | 3 |
| Collaborative | 3 |
| Climate | 3 |
| Chung | 3 |
| Chronic | 3 |
| Chinese | 3 |
| Catley | 3 |
| Case | 3 |
| Malays | 3 |
| Best | 3 |
| Mayo | 3 |
| Washington | 3 |
| ar(Aj | 3 |
| Zone | 3 |
| Zipf | 3 |
| Z. | 3 |
| Xu | 3 |
| WordNet | 3 |
| Word | 3 |
| Wilcoxon | 3 |
| Weill | 3 |
| WebChild | 3 |
| WAP | 3 |
| department | 3 |
| Visual | 3 |
| Use | 3 |
| Universal | 3 |
| Unified | 3 |
| Uganda | 3 |
| UMLS | 3 |
| U.S.A. | 3 |
| Truong | 3 |
| Trade | 3 |
| Toronto | 3 |
| blackleg | 3 |
| gawyel | 3 |
| Thanh | 3 |
| remdesivir | 3 |
| McGoey | 3 |
| ≥60 | 3 |
| ≈ | 3 |
| ∈ | 3 |
| π | 3 |
| ΠG | 3 |
| trust | 3 |
| tm_transcribe | 3 |
| th | 3 |
| resp | 3 |
| public | 3 |
| hydroxytoluene | 3 |
| plasmin | 3 |
| p<0.01 | 3 |
| nd | 3 |
| meta | 3 |
| mbuzi | 3 |
| max | 3 |
| kikohozi | 3 |
| interactome | 3 |
| ijk | 3 |
| i | 3 |
| Thi | 3 |
| heartwater | 3 |
| Takeuchi | 3 |
| News | 3 |
| Peter | 3 |
| Peer | 3 |
| Pearsall | 3 |
| Paclitaxel | 3 |
| PKBs | 3 |
| Outsourcing | 3 |
| Open | 3 |
| Object | 3 |
| Nurses | 3 |
| Nonaka | 3 |
| Nature | 3 |
| Poisson | 3 |
| Narula | 3 |
| Nari | 3 |
| Najran | 3 |
| NY | 3 |
| NEIL | 3 |
| N-95 | 3 |
| Murphy | 3 |
| Modes | 3 |
| TNF | 3 |
| Methods | 3 |
| Phase | 3 |
| Notes | 3 |
| Post | 3 |
| SMR | 3 |
| TMQL | 3 |
| Sweden | 3 |
| Sutton | 3 |
| Summary | 3 |
| Stata | 3 |
| Springer | 3 |
| Software | 3 |
| Sex | 3 |
| Sectional | 3 |
| School | 3 |
| Schommer | 3 |
| Situation | 3 |
| Readiness | 3 |
| R. | 3 |
| Questionnaire | 3 |
| PyTorch | 3 |
| PubMedBERT | 3 |
| Procedia | 3 |
| Problem | 3 |
| Report | 3 |
| Preventive | 3 |
| Prediction | 3 |
| Far | 2 |
| Friedman | 2 |
| G | 2 |
| Future | 2 |
| Frosch | 2 |
| Front | 2 |
| Food | 2 |
| Frequent | 2 |
| Freebase | 2 |
| Francesco | 2 |
| Figure | 2 |
| Geoforum | 2 |
| GPs | 2 |
| HL7 | 2 |
| Geographies | 2 |
| Gereffi | 2 |
| Great | 2 |
| Grosfoguel | 2 |
| Guardian | 2 |
| Guidelines | 2 |
| Guinean | 2 |
| Guzdial | 2 |
| HGKT | 2 |
| Hall | 2 |
| Haddadin | 2 |
| Factorassociated | 2 |
| Fair | 2 |
| Draft | 2 |
| Factoid | 2 |
| FS | 2 |
| Handbook | 2 |
| Discovery | 2 |
| Disease-2019 | 2 |
| Document | 2 |
| DrugBank | 2 |
| Duc | 2 |
| Dumit | 2 |
| Eagly | 2 |
| Earle | 2 |
| Eastern | 2 |
| Ecology | 2 |
| Elhadi | 2 |
| Elmabrouk | 2 |
| Eman | 2 |
| Emergency | 2 |
| Engda | 2 |
| Engineering | 2 |
| Epidemic | 2 |
| Epistemology | 2 |
| Esra | 2 |
| European | 2 |
| Event | 2 |
| FAO | 2 |
| FM | 2 |
| FMEA | 2 |
| Hamad | 2 |
| Kawtrakul | 2 |
| Haque | 2 |
| K9 | 2 |
| Jasanoff | 2 |
| Jazan | 2 |
| Jeeves | 2 |
| John | 2 |
| Johnson | 2 |
| Jones | 2 |
| K.5 | 2 |
| K1-K4 | 2 |
| K10 | 2 |
| K5-K7 | 2 |
| K7 | 2 |
| K8-K12 | 2 |
| KB | 2 |
| Haraway | 2 |
| KG | 2 |
| KP01 | 2 |
| Kadasah | 2 |
| Kahneman | 2 |
| Kattan | 2 |
| Dictionary | 2 |
| Kebede | 2 |
| Khaled | 2 |
| Khan | 2 |
| Kirschner | 2 |
| Klintman | 2 |
| Kolmogorov | 2 |
| James | 2 |
| Issues | 2 |
| Isra | 2 |
| Ispell | 2 |
| Hayes | 2 |
| Helmy | 2 |
| Henan | 2 |
| Herrick | 2 |
| Heuristic | 2 |
| Hoadley | 2 |
| Hoai | 2 |
| Hospitals | 2 |
| Hristovski | 2 |
| Hsi | 2 |
| Humanities | 2 |
| ICUs | 2 |
| IE | 2 |
| IEDCR | 2 |
| IL | 2 |
| IL-6 | 2 |
| IPC | 2 |
| IPCD | 2 |
| Idea | 2 |
| IgY | 2 |
| ImageNet | 2 |
| Implications | 2 |
| Informatics | 2 |
| Interaction | 2 |
| Irwin | 2 |
| Dis | 2 |
| COVID-19-induced | 2 |
| Dhaka | 2 |
| Analytics | 2 |
| Angawi | 2 |
| Angela | 2 |
| Anthropology | 2 |
| Anzaldua | 2 |
| Approach | 2 |
| Ari | 2 |
| Arielle | 2 |
| Armonk | 2 |
| Asante | 2 |
| AskJeeves | 2 |
| Asked | 2 |
| Association | 2 |
| Aziz | 2 |
| Bachelor | 2 |
| Baldwin | 2 |
| Bangla | 2 |
| Base | 2 |
| Bathelt | 2 |
| Beijing | 2 |
| Bert | 2 |
| Bi | 2 |
| Bin | 2 |
| Binh | 2 |
| Black | 2 |
| Bown | 2 |
| Andes | 2 |
| Amoo | 2 |
| Briefing | 2 |
| Amman | 2 |
| L. | 2 |
| AC | 2 |
| AL | 2 |
| API | 2 |
| ARDS | 2 |
| AZD1222 | 2 |
| Abdelkabir | 2 |
| Abudawood | 2 |
| Academic | 2 |
| Actions | 2 |
| Adare | 2 |
| Adults | 2 |
| Advisory | 2 |
| Agriculture | 2 |
| Ajzen | 2 |
| Akter | 2 |
| Ala | 2 |
| Algebra | 2 |
| Algorithm | 2 |
| Alkot | 2 |
| Almadina | 2 |
| Alqurashi | 2 |
| Alshareef | 2 |
| Alsharqi | 2 |
| Ambient | 2 |
| Brian | 2 |
| British | 2 |
| Dexamethasone | 2 |
| CoVs | 2 |
| Collapse | 2 |
| Commission | 2 |
| Complex | 2 |
| Computing | 2 |
| Conroy | 2 |
| Construction | 2 |
| Convolutional | 2 |
| Conway | 2 |
| Corona | 2 |
| Corp. | 2 |
| Costa- | 2 |
| Curie | 2 |
| Curtis | 2 |
| Cvetkovich | 2 |
| DL | 2 |
| Daily | 2 |
| Darash | 2 |
| Darder | 2 |
| Das | 2 |
| Database | 2 |
| David | 2 |
| Debre | 2 |
| Declaration | 2 |
| Department | 2 |
| Deurenberg | 2 |
| Cockburn | 2 |
| Clinical | 2 |
| Browser | 2 |
| Clinic | 2 |
| Building | 2 |
| CKDu | 2 |
| CNC | 2 |
| COV | 2 |
| COV-2 | 2 |
| COVID-19)-How | 2 |
| COVID19 | 2 |
| CUIs | 2 |
| Cameroon | 2 |
| Campania | 2 |
| Caplan | 2 |
| Carl | 2 |
| Central | 2 |
| Centre | 2 |
| Chagas | 2 |
| Challenge | 2 |
| Chandan | 2 |
| Change | 2 |
| Characteristics | 2 |
| Chatterbox | 2 |
| Chattogram | 2 |
| Che | 2 |
| Chiang | 2 |
| Chicago | 2 |
| Chirwa | 2 |
| Kwan | 2 |
| Chaiken | 2 |
| Lang | 2 |
| Therapeutic | 2 |
| Sweeney | 2 |
| T | 2 |
| T. | 2 |
| TB | 2 |
| Tariq | 2 |
| Teaching | 2 |
| Tepi | 2 |
| Term | 2 |
| Test | 2 |
| Text | 2 |
| Texts | 2 |
| Thailand | 2 |
| Thinking | 2 |
| SWAP | 2 |
| Thu | 2 |
| Times | 2 |
| Tobin | 2 |
| Tool | 2 |
| Transformer | 2 |
| Trends | 2 |
| Trump | 2 |
| Tschakert | 2 |
| Turing | 2 |
| Turkey | 2 |
| 2 | |
| Understanding | 2 |
| Swanson | 2 |
| Surgery | 2 |
| Surgeons | 2 |
| Studies | 2 |
| Samimian | 2 |
| Sarianna | 2 |
| Saud | 2 |
| Schiebinger | 2 |
| Sci | 2 |
| Section-2A | 2 |
| Section-2B | 2 |
| Services | 2 |
| Seton | 2 |
| Short | 2 |
| Slovic | 2 |
| Smirnov | 2 |
| Somali | 2 |
| Southwest | 2 |
| Spain | 2 |
| Spatial | 2 |
| Spearman | 2 |
| Specialized | 2 |
| Standring | 2 |
| Staphylococcus | 2 |
| State | 2 |
| Station | 2 |
| Status | 2 |
| Strange | 2 |
| Street | 2 |
| Unstructured | 2 |
| Vaccination | 2 |
| Vanvitelli | 2 |
| haahaande | 2 |
| hydroxychloroquine | 2 |
| ispell | 2 |
| i→j | 2 |
| kappa | 2 |
| lag_time | 2 |
| mapafu | 2 |
| ministry | 2 |
| paclitaxel | 2 |
| pleuropneumonia | 2 |
| postnormal | 2 |
| rank | 2 |
| ritonavir | 2 |
| rna | 2 |
| ruminantium | 2 |
| seis | 2 |
| sir | 2 |
| t. | 2 |
| wolf | 2 |
| Ω | 2 |
| γ | 2 |
| −1 | 2 |
| −8 | 2 |
| ≤ | 2 |
| ≥6 | 2 |
| Laos | 2 |
| hepatitis | 2 |
| future(s | 2 |
| Weber | 2 |
| elapsed_time | 2 |
| Wide | 2 |
| Wikidata | 2 |
| Windows | 2 |
| Winner | 2 |
| Wright | 2 |
| Wynne | 2 |
| XFIND | 2 |
| XML | 2 |
| Y | 2 |
| Y. | 2 |
| York | 2 |
| ZHUMC | 2 |
| ZN | 2 |
| Zahraa | 2 |
| Zemen | 2 |
| antiparasites | 2 |
| bbox | 2 |
| bert | 2 |
| betweengroup | 2 |
| bin | 2 |
| china | 2 |
| cls | 2 |
| committee | 2 |
| dei | 2 |
| ebola | 2 |
| Saeed | 2 |
| White | 2 |
| SQL | 2 |
| Mission | 2 |
| Marwa | 2 |
| Mass | 2 |
| Massey | 2 |
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| S1 | 2 |
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| AOR=11.59 | 1 |
| AOR=2.97 | 1 |
| AOR=3.74 | 1 |
| AOR=3.81 | 1 |
| AOR=6.0 | 1 |
| AOR=6.34 | 1 |
| AOR=7.57 | 1 |
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| 0e755848e33cc4ee7ea77f86df8f2372993bd8df | 1 |
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| -9069 | 1 |
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| 1.16–7.62 | 1 |
| 1.87–7.49 | 1 |
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| 4.0.2.101 | 1 |
| 544cd4072b7982e4b0336efb2c6f9076dcbd2253 | 1 |
| 57a22f57996a28ff598386cc9dc2fa299400fc5d | 1 |
| 747a14bd6677b04e987ed11c6365de7fab960c7c | 1 |
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