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Choline Phosphate Functionalized Cellulose Membrane Developed as Potential Hemostasis Dressing Based on a Unique Bioadhesion Mechanism

2015· article· en· W4233550597 on OpenAlexaff
Xiaoqiang Yang, Na Li, N. Jayachandran, Kizhakkedathu, Donald E. Brooks

Bibliographic record

VenueInternational Journal of Bioscience Biochemistry and Bioinformatics · 2015
Typearticle
Languageen
FieldMedicine
TopicHemostasis and retained surgical items
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCelluloseMembraneChemistryPhosphateHemostasisPolymer chemistryBiophysicsBiochemistrySurgeryMedicineBiology

Abstract

fetched live from OpenAlex

A choline phosphate functionalized biocompatible cellulose membrane that can efficiently arrest human red blood cells was developed to have potential application in wound dressing. The bioadhesion is based on the unique multivalent electrostatic interaction between the head groups of phosphatidyl choline based lipids on the cell membrane and its inverse orientation but virtually identical structure, choline phosphate, coupled to the cellulose membrane. For functionalization, the cellulose membrane was decorated with the polymer brushes bearing multiple choline phosphate groups via surface-initiator atom transfer radical polymerization followed by the click chemistry. The molecular weight and the grafting density of polymer brushes grafted from the cellulose membrane surface were thoroughly evaluated by force-distance measurements using atomic force microscopy. The dependence on the number density of choline phosphate groups and the grafting density of human red blood cell binding to the cellulose membrane surface is reported.

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)0.001
metaresearch head score (Gemma)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.028
GPT teacher head0.296
Teacher spread0.268 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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