Evidence map›Paper›PMID 38969712›Full record

ArticleScientific reports2024

On analysis of topological indices and heat of formation for benzyl sulfamoyl network via curve fitting model.

Hong Yang, Muhammad Farhan Hanif, Muhammad Kamran Siddiqui, Muhammad Faisal Hanif, Ayesha Maqbool, Mohamed Abubakar Fiidow

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

6 authors.

Hong YangSchool of Computer Science, Chengdu University, Chengdu, China.
Muhammad Farhan HanifDepartment of Mathematics and Statistics, The University of Lahore, Lahore Campus, Lahore, Pakistan.
Muhammad Kamran SiddiquiDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan.
Muhammad Faisal HanifDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan.
Ayesha MaqboolDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan.
Mohamed Abubakar FiidowDepartment of Mathematical Sciences, Faculty of Science, Somali National University, Mogadishu Campus, Mogadishu, Somalia. m.fiidow@snu.edu.so.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study explores the intricate relationship between topological indices and the heat of formation in the benzyl sulfamoyl network. Topological indices of benzyl sulfamoyl networks are studied and also emphasize their properties statistically. The benzyl sulfamoyl has unique properties due to its crystalline structure and it is used in the form of artificial substance. We analyze the distributions and correlations of the benzyl sulfamoyl network with others by using statistical methods and also build a computational analysis for topological indices. The findings show a strong association between the variables, indicating that topological indices may be used to accurately predict thermodynamic characteristics and improve the effectiveness of molecular modelling and simulation procedures.

Indexed as

Benzyl sulfamoyl networkCurve fitting modelForgotten indexHeat of formationStatistical analysisTopological indicesZagreb type indices

Identifiers

PMID38969712
PMCPMC11226722

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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.