Evidence map›Paper›PMID 39358388›Full record

ArticleScientific reports2024

Continuous and funnel-gate configurations of a permeable reactive barrier for reclamation of groundwater laden with tetracycline: experimental and simulation approaches.

Ayad A H Faisal, Layla Abdulkareem Mokif, Waqed H Hassan, Radhi AlZubaidi, Saeed Al Marri, Khalid Hashim, Mohammad Amir Khan, Osamah J Al-Sareji

Erratum issuedAbstract read
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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Ayad A H FaisalDepartment of Environmental Engineering, College of Engineering, University of Baghdad, Baghdad, 10001, Iraq. ayadabedalhamzafaisal@yahoo.com.
Layla Abdulkareem MokifEnvironmental Research and Studies Center, University of Babylon, Al-Hillah, Iraq.
Waqed H HassanCollege of Engineering, University of Warith Al-Anbiyaa, Kerbala, Iraq.
Radhi AlZubaidiCivil and Environmental Engineering, College of Engineering, University of Sharjah, Sharjah, United Arab Emirates.
Saeed Al MarriQatar Environment & Energy Research Institute, Al Rayyan, Qatar.
Khalid HashimEnvironmental Research and Studies Center, University of Babylon, Al-Hillah, Iraq. k.s.hashim@ljmu.ac.uk.
Mohammad Amir KhanDepartment of Civil Engineering, Galgotias College of Engineering, Knowledge Park 11, Greater Noida, 201310, India.
Osamah J Al-SarejiSustainability Solutions Research Lab, Faculty of Engineering, University of Pannonia, Egyetem Str. 10, Veszprém H, Veszprém, 8200, Hungary. osamah.al-sareji@phd.uni-pannon.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study investigates removing tetracycline from water using batch, column, and tank experiments with statistical modelling using ANN for continuous tests. An artificial neural network (ANN) using the Levenberg-Marquardt back-propagation (LMA) training algorithm is constructed to compare the effectiveness of Tetracycline removal from aqueous solution using the sorption technique with prepared adsorbent. Several characterization analyses XRD, FT-IR, and SEM are employed for prepared Brownmillerite (Ca

Indexed as

GroundwaterNeural Networks, ComputerTetracyclineWater Pollutants, ChemicalWater PurificationAdsorptionAlgorithmsHydrogen-Ion ConcentrationTetracyclineWater Pollutants, ChemicalAdsorptionArtificial neural networkBrownmillerite compoundsGroundwaterNanomaterialPermeable reactive barriersTetracycline

Identifiers

PMID39358388
PMCPMC11447163

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.