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Record W4383988726 · doi:10.1063/5.0156712

Bacteriophage Pf1 complex viscosity

2023· article· en· W4383988726 on OpenAlexfundno aff
M. A. Kanso, Vincenzo Calabrese, Amy Q. Shen, Myong Chol Pak, A. Jeffrey Giacomin

Bibliographic record

VenuePhysics of Fluids · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceCanada Research Chairs
KeywordsBacteriophageViscosityPhysicsDimensionless quantityBrownian motionThermal diffusivityOrientation (vector space)Relaxation (psychology)ThermodynamicsChemistryQuantum mechanicsBiologyGeometryEscherichia coli

Abstract

fetched live from OpenAlex

Bacteriophages (phages) are viruses that attack bacteria, causing them to multiply. This attack requires phage orientation with respect to the bacterial receptor, a necessary condition for attachment. Since phages are not motile, they rely on their Brownian motion and, specifically, its rotational components to reorient. We focus specifically on Pf1 (the bacteriophage called pseudomonas phage Pf1), the phage about which much has been written, though whose rotational diffusivity determined from rheological measurements is not known. We compare general rigid bead-rod theory with intramacromolecular hydrodynamic interactions with our new measurements of the complex viscosity of an aqueous Pf1 suspension to arrive at the relaxation time. From this time, we get the central transport property for the Pf1 reorientation, the dimensionless rotational diffusivity, of λ0Dr=2.37×10−6, which differs within one order of magnitude from the one from fluorescence microscopy. At low frequency, we find good agreement of our theoretical predictions with both parts of our new bacteriophage Pf1 complex viscosity measurements.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.028
GPT teacher head0.269
Teacher spread0.241 · 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 designBench or experimental
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

Citations3
Published2023
Admission routes1
Has abstractyes

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