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Record W2357927653

Experimental study on the lotion for promoting blood circulation and removing blood stasis in pharmacodynamics

2015· article· en· W2357927653 on OpenAlexaff
Liu Dong-pin

Bibliographic record

VenueBeijing Journal of Traditional Chinese Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsCentre for Drug Research and Development
Fundersnot available
KeywordsLotionMedicineBlood stasisMicrocirculationBlood circulationAnesthesiaBlood viscosityAnalgesicPharmacologyTraditional medicineTraditional Chinese medicineInternal medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

Objective To observe the effects of lotion for promoting blood circulation and removing blood stasis so as to provide experimental evidence for the clinical application. Methods The rat models with acute blood stasis were applied with the lotion for promoting blood circulation and removing blood stasis for prevention,its influence on the whole blood viscosity and plasma viscosity were detected; the rat models with microcirculation dysfunction were applied with the lotion for prevention,and the improvement of microcirculation in auricle were observed; the rat models with pain were applied for prevention with the lotion,and its analgesic effect was observed. Results Compared with the acute blood stasis model group,the whole blood viscosity in the lotion group with the dosage of 0. 32,0. 64 g / m L was reduced significantly( P 0. 05,P 0. 01); compared with the microcirculation dysfunction model group,the microcirculation of auricle in lotion group with the dosage of 0. 40,0. 80 g / m L was improved( P 0. 05); a certain analgesic effect for pain caused by the chemical and heat stimulation was shown in the lotion group with the dosage of 0. 40,0. 80 g / m L( P 0. 05). Conclusion Lotion for promoting blood circulation and removing blood stasis has certain effect in promoting blood circulation and removing blood stasis and also has an analgesic action.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.088
GPT teacher head0.345
Teacher spread0.258 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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