Evidence map›Paper›PMID 39043685›Full record

ArticleScientific reports2024

Mathematical modeling and machine learning-based optimization for enhancing biofiltration efficiency of volatile organic compounds.

Muhammad Sulaiman, Osamah Ibrahim Khalaf, Naveed Ahmad Khan, Fahad Sameer Alshammari, Habib Hamam

Abstract read
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Muhammad SulaimanDepartment of Mathematics, Abdul Wali Khan University, 23200, Mardan, Pakistan.
Osamah Ibrahim KhalafDepartment of Solar, Al-Nahrain Research Center for Renewable Energy, Al-Nahrain University, Jadriya, Baghdad, Iraq.
Naveed Ahmad KhanSchool of Information Technology and Systems, University of Canberra, Canberra, ACT, Australia. naveedahmadkhan.khan@canberra.edu.au.
Fahad Sameer AlshammariDepartment of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Habib HamamFaculty of Engineering, Université de Moncton, Moncton, NB, E1A3E9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofiltration is a method of pollution management that utilizes a bioreactor containing live material to absorb and destroy pollutants biologically. In this paper, we investigate mathematical models of biofiltration for mixing volatile organic compounds (VOCs) for instance hydrophilic (methanol) and hydrophobic (

Indexed as

Artificial IntelligenceElman neural networksMathematical modelingMichaelis-Menten kineticsOptimizationReaction mechanismSupervised machine learningVolatile organic compounds

Identifiers

PMID39043685
PMCPMC11266594

What OpenQuestion holds

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Registered trials

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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.