Effects of short-term exposure to gaseous pollutants on metabolic health indicators of patients with metabolic syndrome in Northwest China

Zheng, Shan; Zhang, Xiaofei; Zhang, Li; Shi, Guoxiu; Li, Yanli; Lv, Kang; Stankovic, John A.; Yin, Chun; Bai, Yana; Zhang, Yaqun; Wang, Minzhen

doi:10.1016/j.ecoenv.2022.114438

Cited by 2 publications

(4 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The gas analyzer consists of a gas chamber (1), a set of visible, infrared, and ultraviolet radiation sources (2), controlled by the control unit (4), a sensor matrix (3), a preprocessing unit (5), a recognition unit (6), a display unit (7).…”

Section: Fig 2 Schematic Diagram Of the Gas Analyzermentioning

confidence: 99%

“…The signal with the results of calculating the parameters of the gas mixture from the preprocessing unit ( 5) is fed to the input of the recognition unit (6), which consists of a trained neural network and a database of gas mixtures. The trained neural network, interacting with the database of gas mixtures, outputs a state "1" on one of its outputs, and this state is displayed by the display unit (7).…”

Section: Fig 2 Schematic Diagram Of the Gas Analyzermentioning

confidence: 99%

“…Gaseous pollutants with characteristics of easily diffuse, difficulty of detection, and harsh treatment have become some of the most harmful pollutants to human health among all industrial wastes [7], [8]. According to the World Health Organization (WHO), in the beginning of August 2023, 91% of the world's population lives in places where air quality exceeds WHO guideline limits, and 7 million people die every year as a result of exposure to fine particles in polluted air [9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Intelligent Hardware-Software Processing of High-Frequency Scanning Data

Mukanova,

Atanov,

Jamshidi

2023

Journal of Robotics and Control

View full text Add to dashboard Cite

The constant emission of polluting gases is causing an urgent need for timely detection of harmful gas mixtures in the atmosphere. A method and algorithm of the determining spectral composition of gas with a gas analyzer using an artificial neural network (ANN) were suggested in the article. A small closed gas dynamic system was designed and used as an experimental bench for collecting and quantifying gas concentrations for testing the proposed method. This device was based on AS7265x and BMP180 sensors connected in parallel to a 3.3 V compatible Arduino Uno board via QWIIC. Experimental tests were conducted with air from the laboratory room, carbon dioxide (CO2), and a mixture of pure oxygen (O2) with nitrogen (N2) in a 9:1 ratio. Three ANNs with one input, one hidden and one output layer were built. The ANN had 5, 10, and 20 hidden neurons, respectively. The dataset was divided into three parts: 70% for training, 15% for validation, and 15% for testing. The mean square error (MSE) error and regression were analyzed during training. Training, testing, and validation error analysis were performed to find the optimal iteration, and the MSE versus training iteration was plotted. The best indicators of training and construction were shown by the ANN with 5 (five) hidden layers, and 16 iterations are enough to train, test and verify this neural network. To test the obtained neural network, the program code was written in the MATLAB. The proposed scheme of the gas analyzer is operable and has a high accuracy of gas detection with a given error of 3%. The results of the study can be used in the development of an industrial gas analyzer for the detection of harmful gas mixtures.

show abstract

Section: Fig 2 Schematic Diagram Of the Gas Analyzermentioning

confidence: 99%

Section: Fig 2 Schematic Diagram Of the Gas Analyzermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent Hardware-Software Processing of High-Frequency Scanning Data

Mukanova,

Atanov,

Jamshidi

2023

Journal of Robotics and Control

View full text Add to dashboard Cite

show abstract

“…The health effects associated with these pollutants are mainly acute and noncarcinogenic. In terms of acute effects, it has been documented that increased PM 10 and O 3 levels in the atmosphere correlate well with early mortality [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Association between Short-Term Exposure to Criteria Air Pollutants and Daily Mortality in Mexico City: A Time Series Study

Cerón

Rangel

et al. 2023

Atmosphere

View full text Add to dashboard Cite

The short-term effects of air pollution on the health of residents in the metropolitan area of Mexico City (MAMC) were assessed in 11 municipalities from 2012 to 2015 using a time-series approach. Site 11 (Azcapotzalco) presented values above the limit of the Mexican regulations for SO2, while values above the limit were found for CO for the city’s other municipalities. Site 8 (Cuauhtemoc) presented the highest number of values above the maximum permissible limit for NO2, while site 1 (Alvaro Obregon) presented the highest number of values above the limit for O3. Finally, site 7 (Venustiano Carranza) presented the highest number of values above the limit for PM10. In general, the southeast and northwest of the city presented high levels of pollution for the criteria air pollutants: SO2, NO2, and PM10, while the southeast presented the highest levels for O3. A great number of associations were found between daily mortality and a 10% increase in the concentrations of most of the pollutants tested, for most of the municipalities of the city. Significant relative risk index (RRI) increases were found for people >60 years of age for all pollutants and municipalities, increases which resulted from a 10% increase in the daily mean concentrations of all pollutants tested. As the RRIs observed were low but significant, the findings are, thus, of public concern. The present study demonstrated that older people are at considerable risk from atmospheric pollution.

show abstract

Effects of short-term exposure to gaseous pollutants on metabolic health indicators of patients with metabolic syndrome in Northwest China

Cited by 2 publications

References 36 publications

Intelligent Hardware-Software Processing of High-Frequency Scanning Data

Intelligent Hardware-Software Processing of High-Frequency Scanning Data

Association between Short-Term Exposure to Criteria Air Pollutants and Daily Mortality in Mexico City: A Time Series Study

Contact Info

Product

Resources

About