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Record W2098708828 · doi:10.5539/mas.v8n5p289

Assessment of Toilet’s Indoor Air Quality in Relation to Asthmatic People

2014· article· en· W2098708828 on OpenAlexvenueno aff
Ismail Abdul Rahman, Jouvan Chandra Pratama Putra, Ade Asmi

Bibliographic record

VenueModern Applied Science · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsnot available
FundersUniversiti Tun Hussein Onn Malaysia
KeywordsToiletEnvironmental scienceRelative humidityVentilation (architecture)Indoor air qualityAir changeAir velocityAnemometerDewMedicineMeteorologyEnvironmental engineeringGeographyCondensation

Abstract

fetched live from OpenAlex

This paper presents an assessment on toilet’s indoor air quality on asthmatic people. The assessment was carried out by measuring temperature, relative humidity, air velocity and SO2 in the 4 selected toilets which are naturally ventilated. The measurements used two equipments that are Yes Plus LGA meter and Anemometer. It was done in early morning and break hours for 10 minutes within three (3) days consecutively. This study found that SO2 concentration in toilet 1 exceeded the threshold limit value of SO2 for 10 minutes exposure which means this toilet potentially trigger asthmatic symptom for those asthmatic people who frequently used this toilet. High concentration of SO2 was due to inadequacy of air velocity in this toilet. Inadequacy of air velocity means less ventilation and thus, increased the humidity which can stimulate the growth of fungi/mold in the toilet that affects asthmatic people.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.272
Teacher spread0.260 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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