The Potential Use of Polymeric Nanomaterials Against the Spread of the SARS-Cov-2 and its Variants: A Necessary Briefing
Bibliographic record
Abstract
Regarding its evolutionary scale, mankind has made important achievements in a short period of time. The last 50 years have been fundamental for the development of technologies that currently allow human beings to make safe journeys in the orbit of the planet, study and accurately analyze the universe, build smart cities, propose more sustainable production processes, etc. The technological leap of the last decades has influenced practically all sectors, from engineering to medicine. There are many factors that allowed for technological evolution, and one of them refers to the development of new materials. Herein, polymers stand out. The versatility of these materials reinforced their relevance during the SARS-CoV-2 period. In the period when many medical and hospital supplies were exhausted, polymers were useful for manufacturing items such as face shields, general purpose masks, and swabs, helping to counter the spread of the virus. Two years after the pandemic peak, the challenge is to fight the viral variants and make the methods of diagnosis and treatment more effective. In this regard, nanotechnology and nanoscience seem to be promising for this purpose. Through a review study, the present work aims to identify technologies already available or under development that allow for the use of polymeric nanomaterials against the spread of the new coronavirus and its variants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".