LIVIVO - Search results -

Search results

Result 1 - 10 of total 44

Search options

Article ; Online: A hybrid model for estimating the number concentration of ultrafine particles based on machine learning algorithms in central Taiwan.

Jung, Chau-Ren / Chen, Wei-Ting / Young, Li-Hao / Hsiao, Ta-Chih

2023 Volume 175, Page(s) 107937

Abstract: Modeling is a cost-effective measure to estimate ultrafine particle (UFP) levels. Previous UFP estimates generally relied on land-use regression with insufficient temporal resolution. We carried out in-situ measurements for UFP in central Taiwan and ... ...

Abstract	Modeling is a cost-effective measure to estimate ultrafine particle (UFP) levels. Previous UFP estimates generally relied on land-use regression with insufficient temporal resolution. We carried out in-situ measurements for UFP in central Taiwan and developed a model incorporating satellite-based measurements, meteorological variables, and land-use data to estimate daily UFP levels at a 1-km resolution. Two sampling campaigns were conducted for measuring hourly UFP concentrations at six sites between 2008-2010 and 2017-2021, respectively, using scanning mobility particle sizers. Three machine learning algorithms, namely random forest, eXtreme gradient boosting (XGBoost), and deep neural network, were used to develop UFP estimation models. The performances were evaluated with a 10-fold cross-validation, temporal, and spatial validation. A total of 1,022 effective sampling days were conducted. The XGBoost model had the best performance with a training coefficient of determination (R
MeSH term(s)	Particulate Matter/analysis ; Air Pollutants/analysis ; Air Pollution/analysis ; Particle Size ; Taiwan ; Environmental Monitoring ; Machine Learning
Chemical Substances	Particulate Matter ; Air Pollutants
Language	English
Publishing date	2023-04-18
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	554791-x
ISSN	1873-6750 ; 0160-4120
ISSN (online)	1873-6750
ISSN	0160-4120
DOI	10.1016/j.envint.2023.107937
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 3131: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: A hybrid model for estimating the number concentration of ultrafine particles based on machine learning algorithms in central Taiwan

Jung, Chau-Ren / Chen, Wei-Ting / Young, Li-Hao / Hsiao, Ta-Chih

Environment International. 2023 May, v. 175 p.107937-

2023

Abstract	Modeling is a cost-effective measure to estimate ultrafine particle (UFP) levels. Previous UFP estimates generally relied on land-use regression with insufficient temporal resolution. We carried out in-situ measurements for UFP in central Taiwan and developed a model incorporating satellite-based measurements, meteorological variables, and land-use data to estimate daily UFP levels at a 1-km resolution. Two sampling campaigns were conducted for measuring hourly UFP concentrations at six sites between 2008–2010 and 2017–2021, respectively, using scanning mobility particle sizers. Three machine learning algorithms, namely random forest, eXtreme gradient boosting (XGBoost), and deep neural network, were used to develop UFP estimation models. The performances were evaluated with a 10-fold cross-validation, temporal, and spatial validation. A total of 1,022 effective sampling days were conducted. The XGBoost model had the best performance with a training coefficient of determination (R²) of 0.99 [normalized root mean square error (nRMSE): 6.52%] and a cross-validation R² of 0.78 (nRMSE: 31.0%). The ten most important variables were surface pressure, distance to the nearest road, temperature, calendar year, day of the year, NO₂, meridional wind, the total length of roads, PM₂.₅, and zonal wind. The UFP levels were elevated along the main roads across different seasons, suggesting that traffic emission is an important contributor to UFP. This hybrid model outperformed prior land use regression models and thus can provide more accurate estimates of UFP for epidemiological studies.
Keywords	cost effectiveness ; environment ; land use ; models ; satellites ; temperature ; traffic ; wind ; Taiwan ; Estimation model ; Feature importance ; Machine learning ; Meteorological variables ; Satellite-based measurement ; Ultrafine particles
Language	English
Dates of publication	2023-05
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	554791-x
ISSN	1873-6750 ; 0160-4120
ISSN (online)	1873-6750
ISSN	0160-4120
DOI	10.1016/j.envint.2023.107937
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Cologne/Königswinter

Zs.A 3131: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Application of artificial intelligence algorithms and low-cost sensors to estimate respirable dust in the workplace.

Chang, Ta-Yuan / Chen, Guan-Yu / Chen, Jing-Jie / Young, Li-Hao / Chang, Li-Te

Environment international

2023 Volume 182, Page(s) 108317

Abstract: The Internet of Things (IoT) and low-cost sensor technology have become common tools for environmental exposure monitoring; however, their application in measuring respirable dust (RD) in the workplace remains limited. This study aimed to develop a ... ...

Abstract	The Internet of Things (IoT) and low-cost sensor technology have become common tools for environmental exposure monitoring; however, their application in measuring respirable dust (RD) in the workplace remains limited. This study aimed to develop a predictive model for RD using artificial intelligence (AI) algorithms and low-cost sensors and subsequently assess its validity using a standard sampling approach. Various low-cost sensors were combined into an RD sensor module and mounted on a portable aerosol monitor (GRIMM 11-D) for two weeks. AI algorithms were used to capture data per minute over 14 days to establish predictive RD models. The best-fitting model was validated using an aluminum cyclone equipped with an air pump and polytetrafluoroethylene filters to sample the 8-hour RD for 5 days at an aircraft manufacturing company. This module was continuously monitored for two weeks to evaluate its stability. The RD concentration measured by GRIMM 11-D in a general outdoor environment over two weeks was 28.1 ± 16.1 μg/m
MeSH term(s)	Dust/analysis ; Occupational Exposure/analysis ; Artificial Intelligence ; Environmental Exposure ; Environmental Monitoring/methods ; Workplace ; Air Pollutants, Occupational ; Inhalation Exposure/analysis
Chemical Substances	Dust ; Air Pollutants, Occupational
Language	English
Publishing date	2023-11-08
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	554791-x
ISSN	1873-6750 ; 0160-4120
ISSN (online)	1873-6750
ISSN	0160-4120
DOI	10.1016/j.envint.2023.108317
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 3131: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article: Elevated emissions of volatile and nonvolatile nanoparticles from heavy-duty diesel engine running on diesel-gas co-fuels

Young, Li-Hao / Lai, Chau-Wei / Lu, Jau-Huai / Yang, Hsi-Hsien / Wang, Lin-Chi / Chen, Yu-Han

Science of the total environment. 2022 May 15, v. 821

2022

Abstract: This study experimentally examines the effects of four diesel-gas co-fuels, two engine loads and an aftertreatment on regulated and unregulated emissions from a 6-cylinder natural-aspirated direct-injection heavy-duty diesel engine (HDDE) with an engine ... ...

Abstract	This study experimentally examines the effects of four diesel-gas co-fuels, two engine loads and an aftertreatment on regulated and unregulated emissions from a 6-cylinder natural-aspirated direct-injection heavy-duty diesel engine (HDDE) with an engine dynamometer. Fuel energy of ultra-low-sulfur diesel was substituted with 10% and 20% of gas fuels, including pure H₂, CH₄, and two CH₄-CO₂ blends. The particle number size distributions of volatile and nonvolatile nanoparticles were measured under ambient temperature and after 300 °C heating, respectively. The results show that the gas fuels caused increases of hydrocarbon emission, slight changes of NOx emission, and decreases of opacity. All four gas fuels resulted in elevated emissions of both volatile and nonvolatile nanoparticles at 25% and 75% load, in the range of 29% to 390%. The increased emissions of volatile nanoparticles were variable and without obvious trends. Special attentions should be given to the addition of H₂ under high load, during which significant increases of volatile nanoparticles could be formed not only post-combustion (up to 1376%), but also post-diesel oxidation catalyst plus diesel particulate filter (DOC + DPF). The nonvolatile nanoparticles, on the other hand, could be effectively removed by the retrofitted DOC + DPF, with efficiency >98.2%. A noteworthy fraction of solid particles of sizes <23 nm were found in the exhaust, not being accounted for by current regulatory emission standard.
Keywords	ambient temperature ; catalysts ; diesel engines ; energy ; filters ; heat ; opacity ; oxidation
Language	English
Dates of publication	2022-0515
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.153459
Database	NAL-Catalogue (AGRICOLA)

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Bonn / Germany

Z 74/341: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article: Quantifying the impacts of PM2.5 constituents and relative humidity on visibility impairment in a suburban area of eastern Asia using long-term in-situ measurements

Ting, Yu-Chieh / Young, Li-Hao / Lin, Tang-Huang / Tsay, Si-Chee / Chang, Kuo-En / Hsiao, Ta-Chih

Science of the total environment. 2021 Nov. 13,

2021

Abstract: The deterioration of visibility due to air pollutants and relative humidity has been a serious environmental problem in eastern Asia. In most previous studies, chemical compositions of atmospheric particles were provided using filter-based offline ... ...

Abstract	The deterioration of visibility due to air pollutants and relative humidity has been a serious environmental problem in eastern Asia. In most previous studies, chemical compositions of atmospheric particles were provided using filter-based offline analyses, which were unable to provide long-term and in-situ measurements that resolve sufficient temporal variations of air pollution and meteorology, hindering the resolution of the relationship between air quality and visibility. Here, we present a year-long continuously measured data from a comprehensive suite of online instruments to investigate diurnal and seasonal impacts of the aerosol chemical compositions in PM₂.₅ on visibility seasonally and diurnally. The measured dry aerosol extinction at λ = 550 nm reached a closure with that predicted by aerosol compositions within 12%. However, the hygroscopic growth of particles under ambient RH could enhance the aerosol extinction by a factor of 2–6, matching the perceptive visibility of the public. Particulate ammonium nitrate was most sensitive to reducing visibility, while ammonium sulfate contributed the most to the light extinction. In spring and winter, the monsoon and stagnant air masses reduced the visibility and increased PM₂.₅ (>35 μg m⁻³). The moisture was found to substantially enhance the light extinction under RH = 60–90%, reducing visibility by approximately 15 km, largely attributed to hygroscopic inorganic salts. This study serves as a metric to highlight the need to consider the influence of RH, and aqueous reactions in producing secondary inorganic aerosols on atmospheric visibility, underpinning the more accurate mitigation strategies of air pollution.
Keywords	aerosols ; air ; air pollution ; air quality ; ammonium nitrate ; ammonium sulfate ; atmospheric visibility ; environment ; meteorology ; monsoon season ; relative humidity ; spring ; suburban areas ; winter ; East Asia
Language	English
Dates of publication	2021-1113
Publishing place	Elsevier B.V.
Document type	Article
Note	Pre-press version
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2021.151759
Database	NAL-Catalogue (AGRICOLA)

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Bonn / Germany

Z 74/341: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article: Chemically and temporally resolved oxidative potential of urban fine particulate matter

Hsiao, Ta-Chih / Chou, Li-Ti / Pan, Shih-Yu / Young, Li-Hao / Chi, Kai-Hsien / Chen, Albert Y.

Environmental pollution. 2021 Dec. 15, v. 291

2021

Abstract: Vehicle emissions are an important source of particulate matter (PM) in urban areas and have well-known adverse health effects on human health. Oxidative potential (OP) is used as a quantification metric for indexing PM toxicity. In this study, by using ... ...

Abstract	Vehicle emissions are an important source of particulate matter (PM) in urban areas and have well-known adverse health effects on human health. Oxidative potential (OP) is used as a quantification metric for indexing PM toxicity. In this study, by using a liquid spot sampler (LSS) and the dithiothreitol (DTT) assay, the diurnal OP variation was assessed at a ground-level urban monitoring station. Besides, since the monitoring station was adjacent to the main road, the correlation between OP and traffic volume was also evaluated. PM components, including metals, water-soluble inorganic aerosols (WSIAs), black carbon (BC), and polycyclic aromatic hydrocarbons (PAHs), were also simultaneously monitored. The daytime and evening mean ± std volume-normalized OP (OPv) were 0.46 ± 0.27 and 0.48 ± 0.26 nmol/min/m³, and exhibited good correlations with PM₁.₀ and BC; however, these concentrations were only weakly correlated with mass-normalized OP (OPm). The mean ± std OPm was higher in the daytime (41.3 ± 13.8 pmol/min/μg) than in the evening (36.1 ± 11.5 pmol/min/μg). According to the PMF analysis, traffic emissions dominated the diurnal OP contribution. Organic matter and individual metals associated with non-exhaust traffic emissions, such as Mn, Fe, and Cu, contributed substantially to OP. Diurnal variations of PAH concentrations suggest that photochemical reactions could enhance OP, highlighting the importance of atmospheric aging on PM toxicity.
Keywords	carbon ; dithiothreitol ; human health ; liquids ; organic matter ; particulates ; pollution ; toxicity ; traffic ; water solubility
Language	English
Dates of publication	2021-1215
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	280652-6
ISSN	1873-6424 ; 0013-9327 ; 0269-7491
ISSN (online)	1873-6424
ISSN	0013-9327 ; 0269-7491
DOI	10.1016/j.envpol.2021.118206
Database	NAL-Catalogue (AGRICOLA)

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Bonn / Germany

Z 4136: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article ; Online: Elevated emissions of volatile and nonvolatile nanoparticles from heavy-duty diesel engine running on diesel-gas co-fuels.

Young, Li-Hao / Lai, Chau-Wei / Lu, Jau-Huai / Yang, Hsi-Hsien / Wang, Lin-Chi / Chen, Yu-Han

The Science of the total environment

2022 Volume 821, Page(s) 153459

Abstract	This study experimentally examines the effects of four diesel-gas co-fuels, two engine loads and an aftertreatment on regulated and unregulated emissions from a 6-cylinder natural-aspirated direct-injection heavy-duty diesel engine (HDDE) with an engine dynamometer. Fuel energy of ultra-low-sulfur diesel was substituted with 10% and 20% of gas fuels, including pure H
MeSH term(s)	Air Pollutants/analysis ; Gasoline/analysis ; Nanoparticles ; Particulate Matter/analysis ; Running ; Vehicle Emissions/analysis
Chemical Substances	Air Pollutants ; Gasoline ; Particulate Matter ; Vehicle Emissions
Language	English
Publishing date	2022-01-29
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.153459
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 949: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: Sources, transport, and visibility impact of ambient submicrometer particle number size distributions in an urban area of central Taiwan.

Young, Li-Hao / Hsu, Chih-Sheng / Hsiao, Ta-Chih / Lin, Neng-Huei / Tsay, Si-Chee / Lin, Tang-Huang / Lin, Wen-Yinn / Jung, Chau-Ren

The Science of the total environment

2022 Volume 856, Issue Pt 2, Page(s) 159070

Abstract: This study applied positive matrix factorization (PMF) to identify the sources of size-resolved submicrometer (10-1000 nm) particles and quantify their contributions to impaired visibility based on the particle number size distributions (PNSDs), aerosol ... ...

Abstract	This study applied positive matrix factorization (PMF) to identify the sources of size-resolved submicrometer (10-1000 nm) particles and quantify their contributions to impaired visibility based on the particle number size distributions (PNSDs), aerosol light extinction (b
MeSH term(s)	Air Pollution/analysis ; Particulate Matter/analysis ; Environmental Monitoring/methods ; Taiwan ; Particle Size ; Air Pollutants/analysis
Chemical Substances	Particulate Matter ; Air Pollutants
Language	English
Publishing date	2022-09-27
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.159070
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 949: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article: Contributions of acidic ions in secondary aerosol to PM2.5 bioreactivity in an urban area

Laiman, Vincent / Hsiao, Ta-Chih / Wang, Yu-Hui / Young, Li-Hao / Chao, How-Ran / Lin, Tang-Huang / Heriyanto, Didik Setyo / Chuang, Hsiao-Chi

Atmospheric environment. 2022 Apr. 15, v. 275

2022

Abstract: Adverse human health effects caused by fine particulate matter (PM₂.₅) were reported; however, source-specific PM₂.₅ and its bioreactivity need to be assessed to understand regional human impacts. The objective of this study was to investigate the ... ...

Abstract	Adverse human health effects caused by fine particulate matter (PM₂.₅) were reported; however, source-specific PM₂.₅ and its bioreactivity need to be assessed to understand regional human impacts. The objective of this study was to investigate the contributions of PM₂.₅ to particle bioreactivity in Taichung City, an urban area of west-central Taiwan. The average mass concentration of PM₂.₅ was 44.4 μg m⁻³ from 21 March to April 22, 2018. PM₂.₅ was identified from six distinct sources using a positive matrix factorization (PMF) model. Secondary aerosols were discovered to be the primary contributor to PM₂.₅ (25.58%), and were primarily composed of Cl⁻, NO₃⁻, EC, NH₄⁺, and SO₄²⁻. It was found that approximately 52.20% (23.2 μg m⁻³) of inhaled PM₂.₅ was deposited in the alveolar region after inhalation in the human lungs according to the multiple-path particle dosimetry (MPPD) model. Therefore, human alveolar epithelial A549 cells were exposed to PM₂.₅, which significantly reduced lung cell viability, and increased the cytotoxic lactate dehydrogenase (LDH), reactive oxygen species (ROS), and inflammatory interleukin (IL)-6 (p < 0.05). Next, we discovered positive correlation between secondary aerosols and ROS production, which was further linked to increases in inorganic ions (Mg²⁺, Cl⁻, NO₃⁻, and SO₄²⁻) (p < 0.05). In conclusion, acidic ions from secondary aerosols were positively correlated with ROS production in human alveolar epithelial cells. Our results showed that secondary aerosols could be an important determinant of the deterioration of air quality and human respiratory health in urban areas.
Keywords	aerosols ; air quality ; cell viability ; cytotoxicity ; dosimetry ; environment ; epithelium ; human health ; humans ; lactate dehydrogenase ; lungs ; models ; particulates ; reactive oxygen species ; urban areas ; Taiwan
Language	English
Dates of publication	2022-0415
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	216368-8
ISSN	0004-6981 ; 1352-2310
ISSN	0004-6981 ; 1352-2310
DOI	10.1016/j.atmosenv.2022.119001
Database	NAL-Catalogue (AGRICOLA)

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.B 783: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: Occupational noise exposure and its association with incident hyperglycaemia: a retrospective cohort study.

Chang, Ta-Yuan / Yu, Tzu-Yi / Liu, Chiu-Shong / Young, Li-Hao / Bao, Bo-Ying

Scientific reports

2020 Volume 10, Issue 1, Page(s) 8584

Abstract: Noise pollution is reported to be associated with diabetes, but few studies have elucidated the associations between noise frequency characteristics. We aimed to evaluate the relationships between different noise frequency components and incident ... ...

Abstract	Noise pollution is reported to be associated with diabetes, but few studies have elucidated the associations between noise frequency characteristics. We aimed to evaluate the relationships between different noise frequency components and incident hyperglycaemia. An industry-based cohort of 905 volunteers was enrolled and followed up to 2012. Octave-band frequencies of workstation noise and individual noise levels were measured in 2012 to classify subjects' exposures retrospectively. We applied Cox regression models to estimate the relative risk (RR) of hyperglycaemia. An increased RR for hyperglycaemia of 1.80 (95% confidence interval [CI]: 1.04, 3.10) was found among subjects exposed to ≥ 85 A-weighted decibels (dBA) compared with those exposed to < 70 dBA. The high-exposure groups at frequencies of 31.5, 63, 125, 250, 500, 1000, and 2000 Hz had a significantly higher risk of hyperglycaemia (all p values < 0.050) than the low-exposure groups. A 5-dB increase in noise frequencies at 31.5, 63, 125, 250, 500 Hz, and 1000 Hz was associated with an elevated risk of hyperglycaemia (all p values < 0.050), with the highest value of 1.27 (95% CI: 1.10, 1.47) at 31.5 Hz (p = 0.001). Occupational noise exposure may be associated with an increased incidence of hyperglycaemia, with the highest risk observed at 31.5 Hz.
MeSH term(s)	Adult ; Female ; Humans ; Hyperglycemia/epidemiology ; Hyperglycemia/etiology ; Incidence ; Male ; Noise, Occupational/adverse effects ; Occupational Exposure/adverse effects ; Prognosis ; Retrospective Studies ; Risk ; Taiwan/epidemiology
Language	English
Publishing date	2020-05-22
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-020-65646-1
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

To top

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito