Evidence map›Paper›PMID 31485257›Full record

ArticleComputational and mathematical methods in medicine2019

Theoretical Modeling of Long-Time Drug Release from Nitrosalicyl-Imine-Chitosan Hydrogels through Multifractal Logistic Type Laws.

Anda-Mihaela Craciun, Mihaela Luminita Barhalescu, Maricel Agop, Lăcrămioara Ochiuz

Abstract read
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Article in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  11. Intranasal delivery of Clozapine using nanoemulsion-basedSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anda-Mihaela CraciunPetru Poni Institute of Macromolecular Chemistry, GrigoreGhicaVoda Alley, Iasi, Romania.ORCID https://orcid.org/0000-0003-0118-131X
Mihaela Luminita BarhalescuConstanta Maritime University, Department of General Engineering Sciences, 104 Mircea cel Batran Street, 900663 Constanta, Romania.ORCID https://orcid.org/0000-0002-6683-4353
Maricel AgopGheorghe Asachi Technical University of Iasi, Faculty of Machine Manufacturing and Industrial Management, Department of Physics, D. Mangeron Bvd. No. 73, 700050 Iasi, Romania.ORCID https://orcid.org/0000-0003-2293-5803
Lăcrămioara OchiuzFaculty of Pharmacy, Department of Pharmaceutical Technology University of Medicine and Pharmacy "Gr.T. Popa", Iasi, Romania.ORCID https://orcid.org/0000-0001-6447-0958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug release is a complex phenomenon due to the large number of interdependent side effects that occur simultaneously, involving strong nonlinear dynamics. Therefore, since their theoretical description is difficult in the classical mathematics modelling, we have built a theoretical model based on logistic type laws, validated by the correlations with the experimental data, in a special case of drug release from hydrogels. The novelty of our approach is the implementation of multifractality in logistic type laws, situation in which any chaotic system, characterized by a small number of nonlinear interactions, gets memory and, implicitly, characterization through a large number of nonlinear interactions. In other words, the complex system polymer-drug matrix becomes "pseudo-intelligent."

Indexed as

Drug LiberationBenzaldehydesBiocompatible MaterialsChitosanDrug Delivery SystemsFractalsHumansHydrogelsIminesIn Vitro TechniquesLogistic ModelsMathematical ConceptsModels, BiologicalBenzaldehydesBiocompatible MaterialsChitosanHydrogelsImines

Identifiers

PMID31485257
PMCPMC6710764

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.