Evidence map›Paper›PMID 35955178›Full record

ArticleMaterials (Basel, Switzerland)2022

Modelling Compression Strength of Waste PET and SCM Blended Cementitious Grout Using Hybrid of LSSVM Models.

Kaffayatullah Khan, Jitendra Gudainiyan, Mudassir Iqbal, Arshad Jamal, Muhammad Nasir Amin, Ibrahim Mohammed, Majdi Adel Al-Faiad, Abdullah M Abu-Arab

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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

8 authors.

Kaffayatullah KhanDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, P.O. Box 380, Al-Hofuf 31982, Saudi Arabia.ORCID 0000-0001-7994-4642
Jitendra GudainiyanDepartment of Civil Engineering, GLA University, Mathura 281 406, India.ORCID 0000-0001-7728-4695
Mudassir IqbalDepartment of Civil Engineering, University of Engineering and Technology, Peshawar 25120, Pakistan.ORCID 0000-0002-4317-3978
Arshad JamalTransportation and Traffic Engineering Department, College of Engineering, Imam Abdulrahman BinFaisal University, P.O. Box 1982, Dammam 31451, Saudi Arabia.ORCID 0000-0001-7284-7348
Muhammad Nasir AminDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, P.O. Box 380, Al-Hofuf 31982, Saudi Arabia.ORCID 0000-0001-6524-4389
Ibrahim MohammedApplied Research Center for Metrology Standards and Testing, Research and Innovation, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.ORCID 0000-0002-6061-8772
Majdi Adel Al-FaiadDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, P.O. Box 380, Al-Hofuf 31982, Saudi Arabia.ORCID 0000-0001-8544-2550
Abdullah M Abu-ArabDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, P.O. Box 380, Al-Hofuf 31982, Saudi Arabia.

Funding

Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia GRANT328
6 · The paper itself

Abstract

Nowadays, concretes blended with pozzolanic additives such as fly ash (FA), silica fume (SF), slag, etc., are often used in construction practices. The utilization of pozzolanic additives and industrial by-products in concrete and grouting materials has an important role in reducing the Portland cement usage, the CO

Indexed as

cementitious groutsparticle swarm optimizationpolyethylene terephthalate wastesupplementary cementitious materialsswarm intelligence

Identifiers

PMID35955178
PMCPMC9369487

What OpenQuestion holds

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LicenceCC BY
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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.