Evidence map›Paper›PMID 35079560›Full record

ArticleEuropean physical journal plus2022

Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays.

Nabeela Anwar, Iftikhar Ahmad, Muhammad Asif Zahoor Raja, Shafaq Naz, Muhammad Shoaib, Adiqa Kausar Kiani

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European physical journal plus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
7.8field-weighted citation impact, top 3% of its field
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

4 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Dynamical system of a time-delayed ϕScientific reports · 2023
    Article
  3. Article
  4. Article
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

6 authors at 3 institutions in 2 countries.

Nabeela AnwarDepartment of Mathematics, University of Gujrat, Gujrat, 50700 Pakistan.
Iftikhar AhmadDepartment of Mathematics, University of Gujrat, Gujrat, 50700 Pakistan.
Muhammad Asif Zahoor RajaFuture Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, 64002 Yunlin Taiwan, R.O.C.
Shafaq NazDepartment of Mathematics, University of Gujrat, Gujrat, 50700 Pakistan.
Muhammad ShoaibDepartment of Mathematics, COMSATS University Islamabad, Attock Campus, Attock, 43600 Pakistan.
Adiqa Kausar KianiFuture Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, 64002 Yunlin Taiwan, R.O.C.ORCID 0000-0002-1261-6000
University of Gujrat · PKNational Yunlin University of Science and Technology · TWCOMSATS University Islamabad · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presented study deals with the exploitation of the artificial intelligence knacks-based stochastic paradigm for the numerical treatment of the nonlinear delay differential system for dynamics of plant virus propagation with the impact of seasonality and delays (PVP-SD) model by implementing neural networks backpropagation with Bayesian regularization scheme (NNs-BBRS). The PVP-SD model is represented with five classes-based ODEs systems for the interaction between insects and plants. The nonlinear PVP-SD model governs with five populations:

Identifiers

PMID35079560
PMCPMC8775172
OpenAlexW4206831604

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.