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Record W4395463515 · doi:10.1080/10739149.2024.2344713

DIY peristaltic perfusion pump and rotarod apparatuses from common and recycled materials

2024· article· en· W4395463515 on OpenAlexaff
Mohammed S. M. Almuslehi, Jens R. Coorssen

Bibliographic record

VenueInstrumentation Science & Technology · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced materials and composites
Canadian institutionsBrock University
Fundersnot available
KeywordsPeristaltic pumpPeristalsisPerfusionBiomedical engineeringMedicineProcess engineeringMechanical engineeringPhysical medicine and rehabilitationEngineeringInternal medicine

Abstract

fetched live from OpenAlex

To reduce the high costs of research associated with specialized laboratory equipment, the current study aimed to construct and validate two devices (peristaltic perfusion pump and rotarod) critical in physiology, neuroscience, and histology laboratories using largely recycled materials and affordable electrical parts. The resulting systems are comparable to commercially available devices but at a fraction of the cost. The peristaltic perfusion pump has an adjustable flow rate suitable for the whole-body perfusion of rats and mice. Testing in rodents confirmed that the pump operated conveniently and consistently, yielding high-quality tissue perfusion and fixation. The rotarod worked flawlessly in behavioral studies with live mice, yielding speed, torque, acceleration and timing comparable to commercially-available devices. Collectively, the findings indicate that the purpose-built peristaltic perfusion pump and rotarod can be used in research laboratories as cost-effective alternatives to comparable but costly commercial devices.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.374

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)0.0000.000

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 head0.006
GPT teacher head0.249
Teacher spread0.243 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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