| 1. |
- Saif-Ul-Allah, Muhammad Waqas, et al.
(author)
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Computationally Inexpensive 1D-CNN for the Prediction of Noisy Data of NOx Emissions From 500 MW Coal-Fired Power Plant
- 2022
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In: Frontiers in Energy Research. - : FRONTIERS MEDIA SA. - 2296-598X. ; 10
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Journal article (peer-reviewed)abstract
- Coal-fired power plants have been used to meet the energy requirements in countries where coal reserves are abundant and are the key source of NOx emissions. Owing to the serious environmental and health concerns associated with NOx emissions, much work has been carried out to reduce NOx emissions. Sophisticated artificial intelligence (AI) techniques have been employed during the past few decades, such as least-squares support vector machine (LSSVM), artificial neural networks (ANN), long short-term memory (LSTM), and gated recurrent unit (GRU), to develop the NOx prediction model. Several studies have investigated deep neural networks (DNN) models for accurate NOx emission prediction. However, there is a need to investigate a DNN-based NOx prediction model that is accurate and computationally inexpensive. Recently, a new AI technique, convolutional neural network (CNN), has been introduced and proven superior for image class prediction accuracy. According to the best of the author's knowledge, not much work has been done on the utilization of CNN on NOx emissions from coal-fired power plants. Therefore, this study investigated the prediction performance and computational time of one-dimensional CNN (1D-CNN) on NOx emissions data from a 500 MW coal-fired power plant. The variations of hyperparameters of LSTM, GRU, and 1D-CNN were investigated, and the performance metrics such as RMSE and computational time were recorded to obtain optimal hyperparameters. The obtained optimal values of hyperparameters of LSTM, GRU, and 1D-CNN were then employed for models' development, and consequently, the models were tested on test data. The 1D-CNN NOx emission model improved the training efficiency in terms of RMSE by 70.6% and 60.1% compared to LSTM and GRU, respectively. Furthermore, the testing efficiency for 1D-CNN improved by 10.2% and 15.7% compared to LSTM and GRU, respectively. Moreover, 1D-CNN (26 s) reduced the training time by 83.8% and 50% compared to LSTM (160 s) and GRU (52 s), respectively. Results reveal that 1D-CNN is more accurate, more stable, and computationally inexpensive compared to LSTM and GRU on NOx emission data from the 500 MW power plant.
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| 2. |
- Fagerström, Anna, 1980-, et al.
(author)
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Comparative distribution of extended-spectrum beta-lactamase-producing Escherichia coli from urine infections and environmental waters
- 2019
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In: PLOS ONE. - : PLOS. - 1932-6203. ; 14:11
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Journal article (peer-reviewed)abstract
- Extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli have been reported in natural environments, and may be released through wastewater. In this study, the genetic relationship between ESBL-producing E. coli collected from patient urine samples (n = 45, both hospitalized patients and out-patients) and from environmental water (n = 82, from five locations), during the same time period, was investigated. Three independent water samples were collected from the municipal wastewater treatment plant, both incoming water and treated effluent water; the receiving river and lake; and a bird sanctuary near the lake, on two different occasions. The water was filtered and cultured on selective chromID ESBL agar plates in order to detect and isolate ESBL-producing E. coli. Illumina whole genome sequencing was performed on all bacterial isolates (n = 127). Phylogenetic group B2 was more common among the clinical isolates than the environmental isolates (44.4% vs. 17.1%, p < 0.01) due to a significantly higher prevalence of sequence type (ST) 131 (33.3% vs. 13.4%, p < 0.01). ST131 was, however, one of the most prevalent STs among the environmental isolates. There was no significant difference in diversity between the clinical isolates (DI 0.872 (0.790-0.953)) and the environmental isolates (DI 0.947 (0.920-0.969)). The distribution of ESBL genes was similar: blaCTX-M-15 dominated, followed by blaCTX-M-14 and blaCTX-M-27 in both the clinical (60.0%, 8.9%, and 6.7%) and the environmental isolates (62.2%, 12.2%, and 8.5%). Core genome multi-locus sequence typing showed that five environmental isolates, from incoming wastewater, treated wastewater, Svartån river and Hjälmaren lake, were indistinguishable or closely related (≤10 allele differences) to clinical isolates. Isolates of ST131, serotype O25:H4 and fimtype H30, from the environment were as closely related to the clinical isolates as the isolates from different patients were. This study confirms that ESBL-producing E. coli are common in the aquatic environment even in low-endemic regions and suggests that wastewater discharge is an important route for the release of ESBL-producing E. coli into the aquatic environment.
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| 3. |
- Goswami, Manish, 1978-, et al.
(author)
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Development of Escherichia coli-based gene expression profiling of sewage sludge leachates
- 2018
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In: Journal of Applied Microbiology. - : Blackwell Publishing. - 1364-5072 .- 1365-2672. ; 125:5, s. 1502-1517
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Journal article (peer-reviewed)abstract
- AIMS: The impact of municipal waste on pathogenic microorganisms released into the environment is a public health concern. The present study aims to evaluate the effects of sewage sludge and antibiotic contaminants on stress response, virulence and antibiotic resistance in a pathogenic Escherichia coli.METHODS AND RESULTS: The effects of sewage sludge leachates on uropathogenic E. coli CFT073 were determined by monitoring the expression of 45 genes associated with antibiotic/metal resistance, stress response and virulence using RT-qPCR. The E. coli gene expression was validated using sub-inhibitory concentrations of tetracycline and ciprofloxacin. E. coli exposed to sewage sludge or sewage sludge-fly ash leachates altered the expression of 5 antibiotic and metal resistance, 3 stress response and 2 virulence associated genes. When antibiotics were combined with sludge or sludge-fly ash the antibiotic-associated gene expression was altered.CONCLUSIONS: E. coli treated with two sludge leachates had distinct gene expression patterns that were altered when the sludge leachates were combined with tetracycline, although to a lesser extent with ciprofloxacin.SIGNIFICANCE AND IMPACT OF STUDY: The E. coli multigene expression analysis is a potential new tool for assessing the effects of pollutants on pathogenic microbes in environmental waters for improved risk assessment.
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| 4. |
- Khan, Faisal Ahmad, 1986-
(author)
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Carbapenemase-Producing Enterobacteriaceae in Wastewater-Associated Aquatic Environments
- 2020
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Doctoral thesis (other academic/artistic)abstract
- The emergence of carbapenem resistance due to the carbapenem-hydrolyzing enzymes (carbapenemases) in Enterobacteriaceae has led to limited therapeutic options. The increased resistance to these “last-resort” antibiotics is fueled by overuse and misuse of antibiotics in human medicine and agriculture. According to the One-Health concept, the microbiomes of humans, animals and natural environments are interconnected reservoirs of antibiotic resistance genes (ARGs) and changes in one compartment will affect the other compartments. Thus, the environmental waters exposed to the pathogens, ARGs and other contaminants of human origin can play a significant role in the spread of resistance. The study aimed to characterize carbapenemase-producing Enterobacteriaceae (CPE) and ARGs in wastewaters and associated river and lake waters in Örebro, Sweden. The study also analyzed de novo development of resistance in Klebsiella oxytoca during long-term growth in river water and the effect of temperature on the emergence of resistance. OXA-48-producing Escherichia coli (ST131) and VIM-1-producing K.oxytoca (ST172) were repeatedly detected in the wastewaters and associated river, suggesting that these isolates were persistently present in these environments. Furthermore, K. oxytoca ST172 isolated from the river was genetically similar to two isolates previously recovered from patients in a local hospital, which shows the possibility of transmission of CPE from hospital to aquatic environments. A high diversity of ARGs was detected in these environments especially in hospital wastewater where ten different carbapenemase genes were detected. These results emphasized that the effective treatment of wastewaters must be ensured to reduce or eliminate the spread of antibiotic resistance. Increased resistance to meropenem (up to 8-fold) and ceftazidime (>10-fold) was observed in K. oxytoca after exposure to both river and tap water after 600 generations and resistance emerged earlier when the bacteria was grown at the higher temperature. The exposure to contaminants and increased environmental temperature may induce similar changes in the environmental microbiome, generating novel resistant variants at accelerated rates that may pose a significant threat to human health.
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| 5. |
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| 6. |
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| 7. |
- Khan, Faisal Ahmad, 1986-, et al.
(author)
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Prevalence and Diversity of Antibiotic Resistance Genes in Swedish Aquatic Environments Impacted by Household and Hospital Wastewater
- 2019
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In: Frontiers in Microbiology. - : Frontiers Media S.A.. - 1664-302X. ; 10
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Journal article (peer-reviewed)abstract
- Antibiotic-resistant Enterobacteriaceae and non-lactose fermenting Gram-negative bacteria are a major cause of nosocomial infections. Antibiotic misuse has fueled the worldwide spread of resistant bacteria and the genes responsible for antibiotic resistance (ARGs). There is evidence that ARGs are ubiquitous in non-clinical environments, especially those affected by anthropogenic activity. However, the emergence and primary sources of ARGs in the environment of countries with strict regulations for antibiotics usage are not fully explored. The aim of the present study was to evaluate the repertoire of ARGs of culturable Gram-negative bacteria from directionally connected sites from the hospital to the wastewater treatment plant (WWTP), and downstream aquatic environments in central Sweden. The ARGs were detected from genomic DNA isolated from a population of selectively cultured coliform and Gram-negative bacteria using qPCR. The results show that hospital wastewater was a reservoir of several class B beta-lactamase genes such as bla(IMP)(-1), bla(IMP)(-2), and bla(OXA-23), however, most of these genes were not observed in downstream locations. Moreover, beta-lactamase genes such as bla(OXA-48), bla(CDX-M-8), and bla(SFC-1), bla(VIM-1), and bla(VIM-13) were detected in downstream river water but not in the WWTP. The results indicate that the WWTP and hospital wastewaters were reservoirs of most ARGs and contribute to the diversity of ARGs in associated natural environments. However, this study suggests that other factors may also have minor contributions to the prevalence and diversity of ARGs in natural environments.
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| 8. |
- Khan, Faisal Ahmad, 1986-, et al.
(author)
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Related carbapenemase-producing Klebsiella isolates detected in both a hospital and associated aquatic environment in Sweden
- 2018
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In: European Journal of Clinical Microbiology and Infectious Diseases. - : Springer. - 0934-9723 .- 1435-4373. ; 37:12, s. 2241-2251
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Journal article (peer-reviewed)abstract
- Carbapenem antibiotics are one of the last-resort agents against multidrug-resistant (MDR) bacteria. The occurrence of carbapenemase-producing Enterobacteriaceae (CPE) in wastewater and aquatic environments is an indication of MDR bacteria in the community. This study evaluated CPE in aquatic environments and compared them to the local hospital isolates in Sweden. Phenotypic and genotypic analyses of antibiotic resistance of environmental and clinical CPE were performed. The relatedness of the isolates and possible clonal dissemination was evaluated using phylogenetic and phyloproteomic analysis. Klebsiella oxytoca carrying carbapenemase genes (blaVIM-1, blaIMP-29) were isolated from wastewater and the recipient river, while K. oxytoca (blaVIM-1) and Klebsiella pneumoniae (blaVIM-1, blaOXA-48, blaNDM-1, blaKPC-3) were isolated from patients at the local clinics or hospital. The K. oxytoca classified as sequence type 172 (ST172) isolated from the river was genotypically related to two clinical isolates recovered from patients. The similarity between environmental and clinical isolates suggests the dispersion of blaVIM-1 producing K. oxytoca ST172 from hospital to aquatic environment and the likelihood of its presence in the community. This is the first report of CPE in aquatic environments in Sweden; therefore, surveillance of aquatic and hospital environments for CPE in other urban areas is important to determine the major transfer routes in order to formulate strategies to prevent the spread of MDR bacteria.
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| 9. |
- Kumar, Ranjeet, 1980-, et al.
(author)
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Comparative analysis of stress induced gene expression in caenorhabditis elegans following exposure to environmental and lab reconstituted complex metal mixture
- 2015
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In: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 10:7
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Journal article (peer-reviewed)abstract
- Metals are essential for many physiological processes and are ubiquitously present in the environment. However, high metal concentrations can be harmful to organisms and lead to physiological stress and diseases. The accumulation of transition metals in the environment due to either natural processes or anthropogenic activities such as mining results in the contamination of water and soil environments. The present study used Caenorhabditis elegans to evaluate gene expression as an indicator of physiological response, following exposure to water collected from three different locations downstream of a Swedish mining site and a lab reconstituted metal mixture. Our results indicated that the reconstituted metal mixture exerted a direct stress response in C. elegans whereas the environmental waters elicited either a diminished or abrogated response. This suggests that it is not sufficient to use the biological effects observed from laboratory mixtures to extrapolate the effects observed in complex aquatic environments and apply this to risk assessment and intervention.
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