Evidence map›Paper›PMID 37692205›Full record

ArticleACS omega2023

Analytical Investigation of the Impact of Jet Geometry on Aeration Effectiveness Using Soft Computing Techniques.

Diksha Puri, Raj Kumar, Parveen Sihag, Mohindra Singh Thakur, Kahkashan Perveen, Faisal M Alfaisal, Daeho Lee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Diksha PuriSchool of Environmental Science, Shoolini University, Solan, Himachal Pradesh 173229, India.
Raj KumarDepartment of Mechanical Engineering, Gachon University, Seongnam 13120, South Korea.ORCID https://orcid.org/0000-0002-6507-7231
Parveen SihagDepartment of Civil Engineering, Chandigarh University, Mohali, Punjab 140301, India.
Mohindra Singh ThakurDepartment of Civil Engineering, Shoolini University, Solan, Himachal Pradesh 173229, India.
Kahkashan PerveenDepartment of Botany & Microbiology, College of Science, King Saud University, P.O. Box 22452, Riyadh 11495, Saudi Arabia.
Faisal M AlfaisalDepartment of Civil Engineering, College of Engineering, King Saud University, Riyadh 11495, Saudi Arabia.
Daeho LeeDepartment of Mechanical Engineering, Gachon University, Seongnam 13120, South Korea.ORCID https://orcid.org/0000-0002-8119-9677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Jet aeration is a commonly used technique for introducing air into water during wastewater treatment. In this investigation, the efficacy of different soft computing models, namely, Random Forest, Reduced Error Pruning Tree, Artificial Neural Network (ANN), Gaussian Process, and Support Vector Machine, was examined in predicting the aeration efficiency (E

Identifiers

PMID37692205
PMCPMC10483528

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.