Evidence map›Paper›PMID 39591005›Full record

ArticleToxics2024

Towards Cleaner Cities: Estimating Vehicle-Induced PM

Saleh Alotaibi, Hamad Almujibah, Khalaf Alla Adam Mohamed, Adil A M Elhassan, Badr T Alsulami, Abdullah Alsaluli, Afaq Khattak

Abstract read
In one paragraph

Article in Toxics, 2024. 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

7 authors.

Saleh AlotaibiCivil and Environmental Engineering Department, Faculty of Engineering-Rabigh Branch, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-0130-6656
Hamad AlmujibahDepartment of Civil Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0003-1676-6222
Khalaf Alla Adam MohamedDepartment of Civil Engineering, College of Engineering, Bisha University, Bisha 61361, Saudi Arabia.
Adil A M ElhassanDepartment of Civil Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia.
Badr T AlsulamiDepartment of Civil Engineering, College of Engineering and Architecture, Umm Al-Qura University, Makkah 24382, Saudi Arabia.ORCID 0000-0001-8682-8447
Abdullah AlsaluliDepartment of Civil Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia.
Afaq KhattakDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.

Funding

Taif University TU-DSPP-2024-33
6 · The paper itself

Abstract

In developing countries, vehicle emissions are a major source of atmospheric pollution, worsened by aging vehicle fleets and less stringent emissions regulations. This results in elevated levels of particulate matter, contributing to the degradation of urban air quality and increasing concerns over the broader effects of atmospheric emissions on human health. This study proposes a Hybrid Explainable Boosting Machine (EBM) framework, optimized using the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), to predict vehicle-related PM

Indexed as

air qualitycovariance matrix adaptation evolution strategyexplainable boosting machinePM2.5

Identifiers

PMID39591005
PMCPMC11598042

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.