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Record W2532528068 · doi:10.1109/iembs.1991.684048

Simulating The Effects Of Ionic Concentration Changes On The Propagating Cardiac Action Potential

2005· article· en· W2532528068 on OpenAlexaff
N. St-Pierre, F.A. Roberge, D.R. Lemieux

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsIonic bondingIntracellularMembraneExtracellularBiophysicsPermeability (electromagnetism)ChemistryMembrane potentialIonCapacitive sensingAnalytical Chemistry (journal)Materials scienceChromatographyBiochemistryComputer science

Abstract

fetched live from OpenAlex

A cable model was used to study the effects of ionic concentration changes on the propagation of cardiac action potentials. The presence of an Na,K-pump controlled by Nu+ and K+ concentration changes and membrane potential makes the model sensitive to the internal and external cleft volumes, and to the h’+ permeability between the external cleft and outside volume. The model was successfully validated with respect to external K+ concentration changes under repetitive activity. The Nu+ entry into the cell is 0.1% larger during a propagated action potential compared to a membrane (non propagated) action potential. where VI and VE are intracellular and extracellular potentials (mV), J,, Jion and Jstim are capacitive, ionic and applied current densities (pA/cm2), and SUR, is the membrane surface (crn’). The K+ concentration in IC and EC compartments, [Iclrc and [K]Ec, are given by

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.010
GPT teacher head0.261
Teacher spread0.251 · 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 designSimulation or modeling
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
Published2005
Admission routes1
Has abstractyes

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