Evidence map›Paper›PMID 36872977›Full record

ArticleACS omega2023

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS-GA-HSA Approach.

Osama Khan, Mohd Zaheen Khan, Md Toufique Alam, Amaan Ullah, Mohamed Abbas, C Ahamed Saleel, Saboor Shaik, Asif Afzal

Open access · goldAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

1 citing paper in PubMed, 30 citations in OpenAlex.

  1. 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

8 authors at 5 institutions in 3 countries.

Osama KhanDepartment of Mechanical Engineering, Faculty of Engineering & Technology, Jamia Millia Islamia, New Delhi110025, India.
Mohd Zaheen KhanDepartment of Mechanical Engineering, Institute of Engineering & Technology, Lucknow226021, India.
Md Toufique AlamDepartment of Mechanical Engineering, Al-Falah University, Faridabad121004, Haryana, India.
Amaan UllahDepartment of Mechanical Engineering, Al-Falah University, Faridabad121004, Haryana, India.
Mohamed AbbasElectrical Engineering Department, College of Engineering, King Khalid University, Abha61421, Saudi Arabia.
C Ahamed SaleelDepartment of Mechanical Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha61421, Saudi Arabia.
Saboor ShaikSchool of Mechanical Engineering, Vellore Institute of Technology, Vellore632014, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-0490-4766
Asif AfzalDepartment of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru574153, India.ORCID https://orcid.org/0000-0003-2961-6186
King Khalid University · SAChandigarh University · INIndian Institute of Management Lucknow · INJamia Millia Islamia · INVellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the discovery of petrol-based products, a surge in energy-requiring equipment has been established across the world. Recent depletion of the existing crude oil resources has motivated researchers to opt for and analyze potential fuels that could potentially provide a cost-effective and sustainable solution. The current study selects a waste plant known as

Identifiers

PMID36872977
PMCPMC9979370
OpenAlexW4320481327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.