Evidence map›Paper›PMID 40672355›Full record

ArticleAnalytical science advances2025

Modelling Particulate Matter (PM

Nur Alis Addiena A Rahim, Norazian Mohamed Noor, Izzati Amani Mohd Jafri, Ahmad Zia Ul-Saufie, Mohamad Anuar Kamaruddin, Mohd Remy Rozainy Mohd Arif Zainol, Andrei Victor Sandu, Petrica Vizureanu, Gyorgy Deak

Abstract read
In one paragraph

Article in Analytical science advances, 2025. 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

9 authors.

Nur Alis Addiena A RahimFaculty of Civil Engineering Technology Universiti Malaysia Perlis Arau Perlis Malaysia.
Norazian Mohamed NoorFaculty of Civil Engineering Technology Universiti Malaysia Perlis Arau Perlis Malaysia.
Izzati Amani Mohd JafriFaculty of Civil Engineering Technology Universiti Malaysia Perlis Arau Perlis Malaysia.
Ahmad Zia Ul-SaufieFaculty of Computer and Mathematical Sciences Universiti Teknologi Mara (UiTM) Shah Alam Selangor Malaysia.
Mohamad Anuar KamaruddinSchool of Industrial Technology Universiti Sains Malaysia Minden Pulau Pinang Malaysia.
Mohd Remy Rozainy Mohd Arif ZainolSchool of Civil Engineering Universiti Sains Malaysia Engineering Campus Nibong Tebal Pulau Pinang Malaysia.
Andrei Victor SanduFaculty of Materials Science and Engineering "Gheorghe Asachi" Technical University of Iasi Iasi Romania.ORCID https://orcid.org/0000-0002-9292-749X
Petrica VizureanuFaculty of Materials Science and Engineering "Gheorghe Asachi" Technical University of Iasi Iasi Romania.
Gyorgy DeakNational Institute for Research and Development in Environmental Protection INCDPM Bucharest Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe haze episodes in Southeast Asia, largely attributed to transboundary pollution from neighbouring countries, have led to substantial environmental degradation and adverse health effects. This study presents the development of a novel air quality forecasting model specifically developed to predict particulate matter with a diameter of less than 10 µm (PM

Indexed as

hybrid modelling techniquesparticulate matterpredictive analyticsquantile regressiontransboundary haze

Identifiers

PMID40672355
PMCPMC12263345

What OpenQuestion holds

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LicenceCC BY-NC
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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.