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Record W4388813636 · doi:10.59400/nmm.v3i2.31

A brief review on basic fundamentals of nanoparticle (NPs)

2023· review· en· W4388813636 on OpenAlexaff
Subhasri Mohapatra, Bhishm Kumar Sahu, Deepak Kumar Dash

Bibliographic record

VenueNano and Medical Materials · 2023
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvanced Drug Delivery Systems
Canadian institutionsRoyal College of Physicians and Surgeons of Canada
Fundersnot available
KeywordsNanotechnologyDrug deliveryNanoparticleLiposomeApplications of nanotechnologyBiochemical engineeringMaterials scienceEngineering

Abstract

fetched live from OpenAlex

According to studies made by previous researchers there are various technical problems associated with liposomes which can be avoided by designing colloidal drugs carrier like nanoparticles with nanotechnology. Now a days they are beneficial in the field of agriculture, veterinary, pharmaceutical, textile technologies. Site specific delivery of encapsulated drugs can be formulated with a nanometer size range which can be injected into the general circulation. The objective of this review is to explain the potential of NPs and nanotechnology associated with their characters and classifications, synthesis and application as the emerging scopes for NPs, rather will attract everyone’s attention. The aim of the present work is to characterize biodegradable nanoparticulate systems for oral controlled release, while numerous publications have appeared on this by international research teams, the research on polymeric nanoparticles has been primarily performed by a few research groups in Europe. Nanoparticles are being investigated as an alternative colloidal drug delivery system that could potentially avoid some of the technical problems observed with other drug delivery system.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.237
GPT teacher head0.514
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2023
Admission routes1
Has abstractyes

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