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Record W4386082866 · doi:10.11159/icmie23.102

Pediatrics Bone Fixation Device of the Femur

2023· article· en· W4386082866 on OpenAlexvenueno aff
Haifa El-Sadi, Stefan Gutierrez

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2023
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsFemurFixation (population genetics)Computer scienceMedicineSurgery

Abstract

fetched live from OpenAlex

Bone fractures are one of the most common injuries that surgeons deal with which result in plates, rods, screws, etc. being put inside the human body.Bone fractures and breaks are even more common among children due to their hyperactivity on a daily basis.However, the added complication for children is not the severity or frequency injuries but accelerated growth humans have as children.Children in their younger puberty stage can grow about 2 inches a year which means their bones will grow as well.This project aims to rectify that complication.The goal is to design, manufacture, and test a fixation device for pediatrics that will adjust as the child grows.This will allow for the child to heal faster and prevent them from needed multiple surgeries so frequently.The design illustrated and evaluated here supported about twice a child's bodyweight.This shows that the adjustability design is strong enough to support the load of the body however, exaggerated, or high impact movements can damage the device and therefore cause damage to the bone.This concluded is supported by the fact that the average human exerts 1.5 to 2 times their body weight when walking.In addition, due university equipment, the material used for this design is not suggested for industry use because aluminium was used.Aluminium is highly corrosive in the human body.The iron and salt that runs through the bloodstream makes the aluminium rust and corrode over time and that corrosion can cause imbalance chemical complications in the human body especially for a human body that is in the process of development.A clamping fixture is tested using the Instron machine.The resulting compression test yielding a result of 223.235 lbs.that was the highest high the plates could handle before deforming.Using FEA to test the max.load which is placed on the top surface area of the plate and the fixed geometry is on the bolts to simulate the screws being inside the bone.The screws designed in Solid Work are 304 stainless steel resulting a yield strength of 31200 psi and the plates with the exerted force acting upon them are 6061 aluminium which resulting a yield strength of 42000 psi..

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.003

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 head0.009
GPT teacher head0.229
Teacher spread0.219 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueProceedings of the World Congress on Mechanical, Chemical, and Material EngineeringSame topicBone fractures and treatmentsFrench-language works237,207