Evidence map›Paper›PMID 37809880›Full record

ArticleHeliyon2023

Application of artificial neural networks for enhancing

Mohammad M El-Metwally, Gamal M Abdel-Fattah, Fatimah O Al-Otibi, Dina K H El Khatieb, Yosra A Helmy, Youssef M M Mohammed, WesamEldin I A Saber

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. 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
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. EndophyticFrontiers in microbiology · 2025
    Article
  3. Article
  4. Article
  5. 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 at 5 institutions in 3 countries.

Mohammad M El-MetwallyBotany and Microbiology Department, Faculty of Science, Damanhour University, Damanhour, 22511, Egypt.
Gamal M Abdel-FattahBotany Department, Faculty of Science, Mansoura University, Mansoura, Egypt.
Fatimah O Al-OtibiBotany and Microbiology Department, Faculty of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Dina K H El KhatiebBotany Department, Faculty of Science, Mansoura University, Mansoura, Egypt.
Yosra A HelmyDepartment of Veterinary Science, Martin-Gatton College of Agriculture, Food, and Environment, University of Kentucky, Lexington, 40546, Kentucky, USA.
Youssef M M MohammedBotany and Microbiology Department, Faculty of Science, Damanhour University, Damanhour, 22511, Egypt.
WesamEldin I A SaberMicrobial Activity Unit, Microbiology Department, Soils, Water and Environment Research Institute, Agricultural Research Center, Giza, 12619, Egypt.
Damanhour University · EGMansoura University · EGAgricultural Research Center · EGKing Saud University · SAUniversity of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiesel is a sustainable, and renewable alternative to fossil fuels that can be produced from various biological sources with the aid of lipases. This study developed a simple and novel fungal system for lipase biosynthesis to be used for catalyzing the oily residuals into biodiesel, employing the artificial neural network (ANN), and semi-solid-state fermentation (SSSF).

Indexed as

Box-behnken designFungiLipolytic activityModelingOptimizationResponse surface methodology

Identifiers

PMID37809880
PMCPMC10559816
OpenAlexW4386859324

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.