Factors Affecting the Dynamics of <i>Legionella pneumophila</i>, Nontuberculous Mycobacteria, and Their Host <i>Vermamoeba vermiformis</i> in Premise Plumbing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Premise plumbing are complex systems with diverse materials and variable temperature and stagnation time. Opportunistic pathogens are commonly found in premise plumbing, but little is known about the impact of design and operational characteristics of building water systems on their occurrence and survival in water and biofilms. The main objective of this study was to investigate the interplay between material type, temperature, and stagnation on the occurrence and survival of Legionella pneumophila, nontuberculous mycobacteria (NTM), and their host Vermamoeba vermiformis . Twelve CDC biofilm reactors were used to compare concentrations of these microorganisms measured by qPCR in water and biofilms, at 25, 40, 55, or 60 °C, and in contact with six materials: polypropylene (PP), polyvinyl chloride (PVC), EPDM, cross-linked polyethylene (PEX), stainless steel (SS), and copper (Cu). The addition of V. vermiformis induced an average 1.4-log increase in NTM concentrations, while the spiking of two L. pneumophila strains caused a 3-log decrease in NTM in PP and PEX biofilms. Heating at 55 and 60 °C in copper reactors led to the decline in V. vermiformis and L. pneumophila below the qPCR quantification limit. A rebound of culturable L. pneumophila was noted after a 6 month stagnation period at room temperature in water with PVC and stainless steel coupons.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it