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Record W3010715453 · doi:10.22215/etd/2019-13855

Cartilage Biomechanical and Mechanobiological Response to Sliding Contact

2019· dissertation· en· W3010715453 on OpenAlexaff
Ali Shegaf

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsCarleton University
Fundersnot available
KeywordsCartilageMaterials scienceOsteoarthritisBiomedical engineeringMechanobiologyCompression (physics)Displacement (psychology)BiomechanicsAnatomyComposite materialMedicinePathology

Abstract

fetched live from OpenAlex

Osteoarthritis (OA) is the leading cause of disability, worldwide.OA leads to breakdown of the articular cartilage (AC), the highly structured tissue that lines the end of bones of the synovial joints.The cartilage cells synthesize and maintain the homeostasis of articular cartilage, a function that is largely influenced by mechanical forces.Mechanobiological studies of cartilage are conducted toward a better understanding of osteoarthritis pathological mechanism.However, the typically applied loading protocols omit the relative surface motion that is essential for cartilage tribological function.Therefore, this work aimed to examine the effects of a more physiological loading mode on cartilage mechanobiological function.Finite element analysis (FEA) was performed to investigate the biomechanical response of cartilage to loading regimes that permits migrating contact area compared to uniaxial cyclic compression.Interstitial fluid pressure was maintained high under sliding contact while it reduced by 20% in cyclic compression model.Also, maximum fluid flow was reduced by 44% in uniaxial cyclic compression where fluid imbibition was limited to a small region near the lateral periphery.Cartilage surface curvature may contribute to cartilage mechanobiological function by increasing tissue rehydration.Motivated by FE results, two low-cost mechanical testing devices were designed and constructed to allow for in vitro mechanobiological experimentation of cartilage.Healthy and degenerated human cartilage samples were subjected to two types of intermittent loading, load-controlled sliding and displacementcontrolled unconfined cyclic compression.Changes in biochemical signals that are believed to control chondrocytes functionality were measured.The level of growth factor (TGF-β) was significantly higher in specimen subjected to sliding contact compared to cyclic compression.Also, the level of all measured cytokines First and for most, I would like to express my sincere appreciation for Prof. Andrew Speirs, who guided me step by a step through this work over the past five years.Without the support and guidance of Prof. Speirs, this work would not be possible.Thank you.I also would like to thank many people

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 score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.002

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 head0.019
GPT teacher head0.293
Teacher spread0.274 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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