Evidence map›Paper›PMID 42142235›Full record

ArticleDiscover nano2026

Regression and statistical analysis of heat transfer enhancement in water/ethylene glycol (40/60) base molybdenum carbide (Mo

Nadeem Ahmad Sheikh, Zulkhibri Bin Ismail, Ilyas Khan, Ghada R Elnaggar, S W Teklu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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.

Nadeem Ahmad SheikhCentre for Mathematical Sciences, College of Computing and Applied Sciences, Universiti Malaysia Pahang, Al-Sultan Abdullah, Lebuh Persiaran Tun Khalil Yaakob, 26300, Kuantan, Pahang, Malaysia.
Zulkhibri Bin IsmailCentre for Mathematical Sciences, College of Computing and Applied Sciences, Universiti Malaysia Pahang, Al-Sultan Abdullah, Lebuh Persiaran Tun Khalil Yaakob, 26300, Kuantan, Pahang, Malaysia. zulkhibri@umpsa.edu.my.
Ilyas KhanDepartment of Mathematical Sciences, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India. i.said@mu.edu.sa.
Ghada R ElnaggarDepartment of Industrial and Systems Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
S W TekluDepartment of Mathematics, Natural Science, Debre Berhan University, Debre Berhan, Ethiopia. shewaferaw@dbu.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the effects of fractional order ([Formula: see text]), nanoparticle volume fraction ([Formula: see text]), magnetic field strength ([Formula: see text]), and Brinkman permeability ([Formula: see text]) on both flow and heat transfer characteristics, a detailed parametric and statistical analysis is conducted. The statistical regression analysis shows that the volume fraction of nanoparticles and temperature have a strong positive correlation (coefficient = 0.94, p = 0.021) indicating that Mo

Indexed as

Fractional modelHeat transfer enhancementMolybdenum carbide (Mo2C) MXene nanofluidRegression and statistical analysisWater/ethylene glycol (40/60) mixture

Identifiers

PMID42142235
PMCPMC13179992

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.