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The IVAIRE Study: Inter- and Intra-Seasonal Variations in VOC's Measured in Canadian Homes with Asthmatic Children during a Intervention Field Study

2018· article· en· W2991004767 on OpenAlexaffabout
Daniel Aubin, Doyun Won, Hans Schleibinger, Pierre Lajoie, Denis Gauvin, Jean‐Marc Leclerc

Bibliographic record

VenueISEE Conference Abstracts · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsInstitut National de Santé Publique du QuébecNational Research Council Canada
Fundersnot available
KeywordsIndoor air qualityVentilation (architecture)MedicineCohortRespiratory systemRelative humidityEnvironmental healthEnvironmental scienceMeteorologyEnvironmental engineeringInternal medicineGeography

Abstract

fetched live from OpenAlex

A randomized intervention study was done to measure the impact of improved ventilation on indoor air quality (IAQ) and the respiratory health of asthmatic children in Québec City. The intervention involved the installation of a Heat or Energy Recovery Ventilator while a comprehensive suite of environmental parameters were used to characterize the IAQ. The IAQ measurements were taken during three separate periods both before and after the intervention. The winter measurements, used to correlate ventilation rates with IAQ and respiratory health, were taken twice to account for intra-seasonal variations in IAQ while the single summer measurement was taken to determine the inter-seasonal variations. A cohort of 111 asthmatic children were enrolled for the pre-intervention phase of which 83 were selected to participate in the subsequent intervention phase because their homes were found to be under-ventilated (air exchange rate <0.30 h-1). The children were then randomized into an intervention (n=43) and control (n=40) group for the second year (post-intervention phase) of the study. This paper presents the variations in the VOC’s measured within the same season, between seasons (winter, summer), along with the year-over-year variations within the same season. A statistically significant seasonal variability was observed for relative humidity, NO2, VOC’s and aldehydes. The aromatic and aliphatic hydrocarbons were most elevated in winter, up to 2x higher, and were the most strongly impacted by the ventilation intervention. The aldehydes, oxygenated VOC’s, and NO2, all had higher summertime concentrations despite the median air exchange rate being almost twice as high during summer. A possible explanation could be that the increased temperature and humidity encountered in summer would promote the release of aldehydes from hydrolysis reactions and off-gassing from construction and consumer products and that ambient formaldehyde is generally higher in summer.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.286
Teacher spread0.264 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2018
Admission routes2
Has abstractyes

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