Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
dense
Generated from Trainer
dataset_size:17319
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
Instructions to use songphucn7/me5-checkthat-task1-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use songphucn7/me5-checkthat-task1-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("songphucn7/me5-checkthat-task1-v2") sentences = [ "query: The unexpected repercussions of COVID-19 vaccine policy: why requirements, certificates and limitations could do more damage than benefit | BMJ Global Health", "passage: title: SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas abstract: Infection-related diabetes can arise as a result of virus-associated β-cell destruction.\nClinical data suggest that the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19), impairs glucose homoeostasis, but experimental evidence that SARS-CoV-2 can infect pancreatic tissue has been lacking.\nIn the present study, we show that SARS-CoV-2 infects cells of the human exocrine and endocrine pancreas ex vivo and in vivo.\nWe demonstrate that human β-cells express viral entry proteins, and SARS-CoV-2 infects and replicates in cultured human islets.\nInfection is associated with morphological, transcriptional and functional changes, including reduced numbers of insulin-secretory granules in β-cells and impaired glucose-stimulated insulin secretion.\nIn COVID-19 full-body postmortem examinations, we detected SARS-CoV-2 nucleocapsid protein in pancreatic exocrine cells, and in cells that stain positive for the β-cell marker NKX6.\n1 and are in close proximity to the islets of Langerhans in all four patients investigated.\nOur data identify the human pancreas as a target of SARS-CoV-2 infection and suggest that β-cell infection could contribute to the metabolic dysregulation observed in patients with COVID-19.\nSARS-CoV-2 is shown to infect and replicate in human pancreatic tissue, including in β-cells, which is associated with morphological, transcriptomic and functional changes.", "passage: title: A SARS-like cluster of circulating bat coronaviruses shows potential for human emergence abstract: The emergence of severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome (MERS)-CoV underscores the threat of cross-species transmission events leading to outbreaks in humans.\nHere we examine the disease potential of a SARS-like virus, SHC014-CoV, which is currently circulating in Chinese horseshoe bat populations.\nUsing the SARS-CoV reverse genetics system, we generated and characterized a chimeric virus expressing the spike of bat coronavirus SHC014 in a mouse-adapted SARS-CoV backbone.\nThe results indicate that group 2b viruses encoding the SHC014 spike in a wild-type backbone can efficiently use multiple orthologs of the SARS receptor human angiotensin converting enzyme II (ACE2), replicate efficiently in primary human airway cells and achieve in vitro titers equivalent to epidemic strains of SARS-CoV.\nAdditionally, in vivo experiments demonstrate replication of the chimeric virus in mouse lung with notable pathogenesis.\nEvaluation of available SARS-based immune-therapeutic and prophylactic modalities revealed poor efficacy; both monoclonal antibody and vaccine approaches failed to neutralize and protect from infection with CoVs using the novel spike protein.\nOn the basis of these findings, we synthetically re-derived an infectious full-length SHC014 recombinant virus and demonstrate robust viral replication both in vitro and in vivo.\nOur work suggests a potential risk of SARS-CoV re-emergence from viruses currently circulating in bat populations.", "passage: title: The unintended consequences of COVID-19 vaccine policy: why mandates, passports and restrictions may cause more harm than good abstract: Vaccination policies have shifted dramatically during COVID-19 with the rapid emergence of population-wide vaccine mandates, domestic vaccine passports and differential restrictions based on vaccination status.\nWhile these policies have prompted ethical, scientific, practical, legal and political debate, there has been limited evaluation of their potential unintended consequences.\nHere, we outline a comprehensive set of hypotheses for why these policies may ultimately be counterproductive and harmful.\nOur framework considers four domains: (1) behavioural psychology, (2) politics and law, (3) socioeconomics, and (4) the integrity of science and public health.\nWhile current vaccines appear to have had a significant impact on decreasing COVID-19-related morbidity and mortality burdens, we argue that current mandatory vaccine policies are scientifically questionable and are likely to cause more societal harm than good.\nRestricting people’s access to work, education, public transport and social life based on COVID-19 vaccination status impinges on human rights, promotes stigma and social polarisation, and adversely affects health and well-being.\nCurrent policies may lead to a widening of health and economic inequalities, detrimental long-term impacts on trust in government and scientific institutions, and reduce the uptake of future public health measures, including COVID-19 vaccines as well as routine immunisations.\nMandating vaccination is one of the most powerful interventions in public health and should be used sparingly and carefully to uphold ethical norms and trust in institutions." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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