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Record W2035797287 · doi:10.1115/sbc2012-80946

Biomechanics of the Cervical Spine Under Compressive Loading in Flexion and Extension: Muscles Net Moment Determination

2012· article· en· W2035797287 on OpenAlexaff
Wissal Mesfar, Kodjo Moglo

Bibliographic record

VenueASME 2012 Summer Bioengineering Conference, Parts A and B · 2012
Typearticle
Languageen
FieldMedicine
TopicAutomotive and Human Injury Biomechanics
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsBiomechanicsHead (geology)Moment (physics)Cervical spineFinite element methodHead and neckStructural engineeringCervical vertebraeBiomedical engineeringOrthodonticsAnatomyMaterials scienceMedicineGeologyEngineeringPhysicsSurgery

Abstract

fetched live from OpenAlex

Muscles in the cervical spine are responsible for guiding the head and for conserving its posture. The weight of the head (∼40N) exerts a continuous compressive load that should be monitored by the neck muscles. Wearing a helmet in many sports or military and work activities increases the compressive loading on the head as well as the involvement of the muscles to counterbalance the impact of this supplemental weight. The compressive load is estimated to range from 120 to 1200N [1]. This loading influences all the biomechanics of the head and neck complex and its musculature. Experimental and numerical studies were involved to determine the biomechanical response of the head and neck [2]. In this study and based on our finite element model, we aim to estimate the biomechanical impact of a compressive load varying from 0N to 100N on the head and neck complex at four positions, neutral position, 10 and 20 deg of head flexion and 10 deg of head extension. An evaluation of the required muscles net moment to conserve the head at each posture will also be done.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.450

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 head0.043
GPT teacher head0.283
Teacher spread0.240 · 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
Published2012
Admission routes1
Has abstractyes

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Same venueASME 2012 Summer Bioengineering Conference, Parts A and BSame topicAutomotive and Human Injury BiomechanicsFrench-language works237,207