Use of artificial neural networks to rescue agrochemical-based health hazards: A resource optimisation method for cleaner crop production

Elahi, Ehsan; Cui, Weijun; Zhang, Huiming; Abid, Muhammad

doi:10.1016/j.jclepro.2019.117900

Cited by 108 publications

(60 citation statements)

References 59 publications

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“…It is important to evaluate this population group, since air pollution harmful effects was assessed without other disease conditions that could contribute to cytogenotoxic effects. Furthermore, environmental pollution is a global priority issue, due to the relevance of exposure to pollutants on human health, climate change, and global warming [ 3 , 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

Cytogenotoxicity Evaluation of Young Adults Exposed to High Levels of Air Pollution in a Mexican Metropolitan Zone Using Buccal Micronucleus Cytome Assay

González-Santiago

Zúñiga‐González

Gómez‐Meda

et al. 2021

BioMed Research International

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Air pollution has become a serious public health problem globally. Recent studies support the harmful effect of air pollution on human health, in addition to scientific evidence that recognizes it as a human carcinogen. The buccal micronucleus cytome (BMC) assay is employed extensively to measure cytotoxic and genotoxic damage in a population exposed to environmental contamination. The objective of this study was to evaluate the cytotoxic and genotoxic effects in healthy young adults exposed to different levels of air pollution and to identify areas with air pollution rates above the regulatory limits. This study was performed through the BMC assay in oral mucosa samples from 80 healthy young adults from the Guadalajara metropolitan zone. Three highly contaminated areas were taken into account: Tlaquepaque, Miravalle, and Las Pintas. Las Aguilas, a less contaminated area, was used as a reference. The frequencies of nuclear abnormalities in the areas with the highest and lowest levels of air pollution were compared with the Mann–Whitney U test. In addition, an analysis of the concentration of environmental pollutants, particulate matter ≤ 10 μ m (PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO), were carried out in the mentioned areas, in order to identify the events above the regulatory limits in a year period. The results showed that young adults exposed to a higher concentration of pollutants showed higher frequencies of nuclear abnormalities. The individuals from the areas of Tlaquepaque, Miravalle, and Las Pintas showed cytotoxic damage since statistically significant differences were found in the abnormalities of pyknotic nuclei (PNs), condensed chromatin (CC), karyorrhexis (KX), and karyolysis (KL). The individuals who showed the most cytotoxic damage were from the Las Pintas area with higher frequencies in nuclear abnormalities (PNs, CC, KX, and KL) ( p < 0.0001 ). Genotoxic damage was found in individuals from two zones, Miravalle and Las Pintas, with statistically significant differences in the abnormality of nuclear buds (NBUDs) ( p < 0.0001 ). Our results suggest that exposure to high levels of air pollution in healthy young adults has an effect on cellular and nuclear integrity and thus in human health, since areas with higher air pollution showed an increase in cytotoxicity, specifically in early and late markers of cell death (CC, KX, PN, and KL) and genotoxic damage (BUDs).

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Section: Introductionmentioning

confidence: 99%

Cytogenotoxicity Evaluation of Young Adults Exposed to High Levels of Air Pollution in a Mexican Metropolitan Zone Using Buccal Micronucleus Cytome Assay

González-Santiago

Zúñiga‐González

Gómez‐Meda

et al. 2021

BioMed Research International

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“…Quantitative forecasting method uses quantitative knowledge and mathematical model to conduct quantitative measure on the future economic phenomena. This kind of method mainly includes time series prediction method, regression analysis prediction method and tendency curve model prediction method [17] [18].…”

Section: Function Analysismentioning

confidence: 99%

Study of Economic Management Forecast and Optimized Resource Allocation Based on Cloud Computing and Neural Network

He¹

2020

Preprint

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As various factors which affect the development of global market economy become increasingly uncertain, economy and commodity will become more and more fluctuating in economic operation. With its strong non-linear mapping capacity, artificial neural network has already been applied in many fields, time series analysis and trend prediction, for instance.Cloud computing can interact fast with service provider at the minimum management cost. This paper proposes an economic forecast and optimized resource allocation model based on cloud computing and BP neural network. Its main goal is to break down a complex prediction task into several sub-tasks, effectively reduce the workload of a single computer and enhance the operating efficiency. Meanwhile, this method can also choose the optimal neural network prediction model at an adaptive learning rate so as to make the prediction and analysis result more accurate.

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“…Many studies have conducted an environmental impact assessment from agriculture (Kamyab et al, 2016;Elahi et al, 2018a;Abid et al, 2019;Dai et al, 2019), animal husbandry (Elahi et al, 2018b(Elahi et al, , 2019b, and industry (Peng et al, 2018) and attributed water ecological and environmental problems to economic growth (Choi et al, 2015;Liu et al, 2016;Cai et al, 2020), population expansion (Fan and Fang, 2020), environmental regulation (ER) (Pan and Tang, 2021), cross-regional trade (Wu and Ye, 2020), and land planning (Peng et al, 2019;Elahi et al, 2020;Wu et al, 2020b).…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Urban Manufacturing Agglomeration on the Quality of Water Ecological Environment Downstream of the Three Gorges Dam

Huang

You

2021

Front. Ecol. Evol.

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As an important way to promote economic growth and to improve ecological environment quality, industrial agglomeration strategy has been widely accepted and implemented in various regions of China. In theory, industrial agglomeration is conducive to reducing pollution emissions. However, this needs to be tested in reality. The purpose of this paper is to test the impacts of manufacturing industry agglomeration on the quality of water ecological environment in 17 prefecture-level cities downstream of the Three Gorges Dam. Therefore, a theoretical model was established to test the direct and indirect effects. Empirically, results show that the direct effect of manufacturing agglomeration on the quality of water ecological environment is −0.426, which provides statistical evidence for the important role of manufacturing agglomeration in improving the quality of water ecological environment. The indirect effect of manufacturing agglomeration on ammonia nitrogen (NH3-N) is 0.118% through technological innovation, the indirect effect on NH3-N is 0.114% through economic growth, and the indirect effect on NH3-N is 0.254% through industrial structure. Due to the low overall level of the manufacturing industry and its reliance on dirty technologies, the indirect effects of industrial agglomeration are not conducive to improving the quality of the water ecological environment. Therefore, it is necessary to establish a long-term mechanism to promote the evolution of the regional economy along a path that is conducive to the improvement of the water ecological environment.

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Use of artificial neural networks to rescue agrochemical-based health hazards: A resource optimisation method for cleaner crop production

Cited by 108 publications

References 59 publications

Cytogenotoxicity Evaluation of Young Adults Exposed to High Levels of Air Pollution in a Mexican Metropolitan Zone Using Buccal Micronucleus Cytome Assay

Cytogenotoxicity Evaluation of Young Adults Exposed to High Levels of Air Pollution in a Mexican Metropolitan Zone Using Buccal Micronucleus Cytome Assay

Study of Economic Management Forecast and Optimized Resource Allocation Based on Cloud Computing and Neural Network

The Impacts of Urban Manufacturing Agglomeration on the Quality of Water Ecological Environment Downstream of the Three Gorges Dam

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