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A Física de um Desinfector com Radiação UV–C

2021· article· pt· W3187167989 on OpenAlexaff
Matheus Azevedo Silva Pessôa, F. M. e Silva, Mauri Pedroso de Lima, Gian Carlos Galhardo, P. H. M. Olyntho, Antônio A. R. Neves

Bibliographic record

VenueRevista Brasileira de Ensino de Física · 2021
Typearticle
Languagept
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Neste artigo, discutimos a física envolvendo uma câmara de radiação ultravioleta–C (UV–C) utilizada para desinfecção de superfícies e objetos, no contexto da pandemia de COVID-19. Quando exposto à radiação UV–C, o RNA viral muda sua estrutura molecular num processo causado por uma realocação nas bases nitrogenadas, inativando o vírus e impedindo sua reprodução. Nós propomos a construção de uma câmara UV–C utilizando materiais acessíveis à população, com recursos de segurança. Também discutimos o processo de design na determinação da distância e tempo de exposição necessários para a dose de UV–C apropriada. Fatores teóricos que deixam o problema mais realista considerando-se a geometria do sistema também são utilizados. Experimentalmente, a lâmpada utilizada para o protótipo foi testada, obtendo-se uma potência na faixa do UV–C de Puv = 171μ W, após correções. Os tempos de exposição foram então definidos, e variaram de 20–90 minutos, considerando-se distâncias de 5–36 cm dos objetos à lâmpada.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.029
GPT teacher head0.296
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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