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Record W2548893348

ABNORMAL PASSIVE FORCES IN FROG TIBIALIS ANTERIOR MUSCLES

2014· article· en· W2548893348 on OpenAlexaffvenue
Alex Li, Brandon Hisey, Andrew Sawatsky, Walter Herzog

Bibliographic record

VenueJournal of undergraduate research in Alberta · 2014
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsMount Allison University
Fundersnot available
KeywordsSarcomereAnatomyAnkleTibialis anterior muscleMuscle architectureMaterials scienceSkeletal muscleMedicineMyocyte
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Typically in force-length relationships of skeletal muscle, the passive forces are much lower than the active forces. These results have been shown in both single fiber experiments and whole muscle experiments [1]. However, abnormally high passive forces were noticed in a pilot study done with the whole tibialis anterior (TA) in the frog, rana pipiens. Surprisingly, single fiber experiments of the same muscle and species have shown a standard force-length relationship with low passive force. Thus, the purpose of this study was to verify the observation of extremely high passive forces made previously and, if true, investigate the range of muscle lengths in which these high pasive forces occur. Possible functional reasons for this phenomenon will be discussed. METHODS The TA and sciatic nerve of three frogs were isolated with surgical techniques. The attached tarsal bone was clamped to a load cell and the knee was pinned. The muscle was then stretched to various lengths and isometrically contracted via nerve stimulation with a platinum hook. A Short rest was given between trials. Whole muscle biopsies were taken and prepared for analysis of sarcomere length within the normal range of motion. The range of muscle lengths in which the animal normally functions was analysed by configuring knee and ankle joint angles to values that were identified for swimming and jumping. [2]. RESULTS All subjects showed very large passive forces on the ascending limb of the force-length relationship (Figure 1). At long muscle lengths, passive forces were up to six times as high as the corresponding active forces. The functional range of muscle lengths for jumping and swimming is 87-95% and 91%-96%, respectivelyof the maximum in vivo muscle length. The shortest in vivo muscle length is about 77% of its maximal in vivo length. DISCUSSION AND CONCLUSIONS It is likely that the high passive forces observed in the frog TA come from the extracellular matrix, as earlier studies with single TA fibers show low passive force [3]. These high passive forces found for the entire muscle have implications for the function of the muscle during every day activities, such as swimming and jumping. It has been demonstrated that frogs produce extremely high muscle power output during jumping [4]. They achieve these high powers by using a catapult mechanism through the plantaris tendon [5]. High passive forces in the TA would be a natural development to counterbalance plantaris forces as the TA is the antagonist muscle to the plantaris. It is also possible that the high passive forces in the TA are used during frog swimming. Since frogs have large webbed feet, a high passive force in the TA allows frogs to use their feet like human swimmers use passive fins at to increase the speed and decrease the energy expenditure of swimming.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.025
GPT teacher head0.298
Teacher spread0.273 · 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 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".

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Citations0
Published2014
Admission routes2
Has abstractyes

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