Evidence map›Paper›PMID 38815389›Full record

ArticleJournal of hazardous materials2024

What is the spatiotemporal pattern of benzene concentration spread over susceptible area surrounding the Hartman Park community, Houston, Texas?

Aji Kusumaning Asri, Galen D Newman, Zhihan Tao, Rui Zhu, Hsiu-Ling Chen, Shih-Chun Candice Lung, Chih-Da Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of hazardous materials, 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.

Aji Kusumaning AsriDepartment of Geomatics, College of Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC. Electronic address: akusumaning@gmail.com.
Galen D NewmanDepartment of Landscape Architecture and Urban Planning, School of Architecture Texas A&M University, 3137 TAMU, College Station, TX 77843, USA.
Zhihan TaoDepartment of Landscape Architecture and Urban Planning, School of Architecture Texas A&M University, 3137 TAMU, College Station, TX 77843, USA.
Rui ZhuDepartment of Landscape Architecture and Urban Planning, School of Architecture Texas A&M University, 3137 TAMU, College Station, TX 77843, USA.
Hsiu-Ling ChenDepartment of Food Safety Hygiene and Risk Management, National Cheng Kung University, Tainan 701, Taiwan, ROC.
Shih-Chun Candice LungResearch Center for Environmental Changes, Academia Sinica, Taipei, Taiwan, ROC; Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan, ROC; Institute of Environmental Health, School of Public Health, National Taiwan University, Taipei, Taiwan, ROC.
Chih-Da WuDepartment of Geomatics, College of Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan, ROC; Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung City 402, Taiwan, ROC; Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung 804, Taiwan, ROC. Electronic address: chidawu@mail.ncku.edu.tw.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

The Hartman Park community in Houston, Texas-USA, is in a highly polluted area which poses significant risks to its predominantly Hispanic and lower-income residents. Surrounded by dense clustering of industrial facilities compounds health and safety hazards, exacerbating environmental and social inequalities. Such conditions emphasize the urgent need for environmental measures that focus on investigating ambient air quality. This study estimated benzene, one of the most reported pollutants in Hartman Park, using machine learning-based approaches. Benzene data was collected in residential areas in the neighborhood and analyzed using a combination of five machine-learning algorithms (i.e., XGBR, GBR, LGBMR, CBR, RFR) through a newly developed ensemble learning model. Evaluations on model robustness, overfitting tests, 10-fold cross-validation, internal and stratified validation were performed. We found that the ensemble model depicted about 98.7% spatial variability of benzene (Adj. R

Indexed as

Benzene concentrationEnsemble learning modelHazardous pollution zoneMachine-learning algorithmsVulnerable community

Identifiers

PMID38815389
PMCPMC11975435

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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.