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Record W7132900647

Studies of stimuli-responsive hydrogel nanoparticle containing membranes and the development of a closed-loop glucose-responsive insulin delivery device

2008· dissertation· W7132900647 on OpenAlexfundno aff
Hui Yu Huang

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMembraneInsulin deliveryDrug deliveryInsulinNanoparticleKinetics
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this Ph. D project was to study the mechanism of pH- and glucose-responsiveness and properties of polymeric composite membranes containing pH-sensitive poly(N-Isopropylacrylamide-co-metharcylic acid) hydrogel nanoparticles for controlled drug delivery, and to develop a closed-loop glucose-responsive insulin delivery device using these pH-sensitive hydrogel nanoparticles. The internal pH kinetics and spatial distribution of the membranes were studied using a ratiometric fluorescence dye pH mapping methodology. Approaches to improving the physicochemical and mechanical properties of the stimuli-responsive membranes were explored. Finally, a closed-loop glucose-responsive insulin delivery device regulating insulin delivery in response to changes in glucose concentration was developed and tested under in vitro conditions in this thesis.

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: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.320
Teacher spread0.281 · 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
GenreOther

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
Published2008
Admission routes1
Has abstractyes

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