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Record W3036095284 · doi:10.11159/ijtan.2020.001

Study of Incinerated Silver Used in Indian Traditional Medicine Systems

2020· article· en· W3036095284 on OpenAlexaffvenue
Subhathirai Subramaniyan Parimalam, Ahmad Sohrabi Kashani, Simona Bǎdilescu, Rama Bhat, Muthukumaran Packirisamy

Bibliographic record

VenueInternational Journal of Theoretical and Applied Nanotechnology · 2020
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Medicinal Plants
Canadian institutionsConcordia University
Fundersnot available
KeywordsTraditional medicineMedicine

Abstract

fetched live from OpenAlex

Incinerated metal particles such as gold, silver, copper and iron are administered as internal medicines in the Indian systems of medicine, Siddha and Ayurveda, respectively. We studied the structure, composition and properties of the Incinerated Silver (IAg) particles (Veli parpam/Rajata bhasma) as well as their spectra and localisation in cancer cells (HeLa, A549 and HCT 116). The average crystallite size, particle size, and hydrodynamic diameter were found to be 54.6 nm, 300 nm to 1.7 m, and 530 nm-1.1 m, respectively. The particles have a negative surface charge with a zeta potential of -22.871.34 mV. The IAg particles are made up of Ag, Ca, Fe, Hg and other trace elements. Further, their subcellular properties and locations were analysed in cancer cell lines. The preliminary results obtained from the SEM and hyperspectral imaging show the uptake of the IAg particles and aggregates.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.268
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.025
GPT teacher head0.274
Teacher spread0.249 · 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

Citations5
Published2020
Admission routes2
Has abstractyes

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