Institution
University of Bedfordshire
Education•Luton, Bedford, United Kingdom•
About: University of Bedfordshire is a education organization based out in Luton, Bedford, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 3860 authors who have published 6079 publications receiving 143448 citations. The organization is also known as: University of Luton.
Papers published on a yearly basis
Papers
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TL;DR: The prevalence of depressive symptoms is substantially higher among residents in the north of China compared to the south and this geographic disparity was independent of gender, age, marital status, living status, education level, health status, mobility, social activities and medical insurance.
65 citations
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TL;DR: The potential for gene expression profiling to identify toxic hazards by the identification of mechanistically relevant markers of toxicity is demonstrated, and some variability in the quantitative nature of the microarray data is indicated.
Abstract: Microarrays have the potential to significantly impact our ability to identify toxic hazards by the identification of mechanistically relevant markers of toxicity. To be useful for risk assessment, however, microarray data must be challenged to determine reliability and interlaboratory reproducibility. As part of a series of studies conducted by the International Life Sciences Institute Health and Environmental Science Institute Technical Committee on the Application of Genomics to Mechanism-Based Risk Assessment, the biological response in rats to the hepatotoxin clofibrate was investigated. Animals were treated with high (250 mg/kg/day) or low (25 mg/kg/day) doses for 1, 3, or 7 days in two laboratories. Clinical chemistry parameters were measured, livers removed for histopathological assessment, and gene expression analysis was conducted using cDNA arrays. Expression changes in genes involved in fatty acid metabolism (e.g., acyl-CoA oxidase), cell proliferation (e.g., topoisomerase II-Alpha), and fatty acid oxidation (e.g., cytochrome P450 4A1), consistent with the mechanism of clofibrate hepatotoxicity, were detected. Observed differences in gene expression levels correlated with the level of biological response induced in the two in vivo studies. Generally, there was a high level of concordance between the gene expression profiles generated from pooled and individual RNA samples. Quantitative real-time polymerase chain reaction was used to confirm modulations for a number of peroxisome proliferator marker genes. Though the results indicate some variability in the quantitative nature of the microarray data, this appears due largely to differences in experimental and data analysis procedures used within each laboratory. In summary, this study demonstrates the potential for gene expression profiling to identify toxic hazards by the identification of mechanistically relevant markers of toxicity.
65 citations
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TL;DR: In this article, the authors investigated how various aspects of environmental management practices (operational, strategic, and tactical) undertaken by firms influence their environmental technology portfolios ETPs (pollution control and pollution prevention).
65 citations
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TL;DR: Thematic analysis of the data emphasised the impact of placement experiences on commitment via interpersonal relationships and suggested that practitioner workload may impact the student experience due to challenges in making sufficient time to provide support.
65 citations
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TL;DR: In this article, the performance of a portable personal air quality monitor (PAM) that integrates multiple miniaturized sensors for nitrogen oxides ( NOx ), carbon monoxide (CO), ozone( O3 ) and particulate matter (PM) measurements along with temperature, relative humidity, acceleration, noise and GPS sensors is analyzed.
Abstract: . The inaccurate quantification of personal exposure to air
pollution introduces error and bias in health estimations, severely limiting
causal inference in epidemiological research worldwide. Rapid advancements
in affordable, miniaturised air pollution sensor technologies offer the
potential to address this limitation by capturing the high variability of
personal exposure during daily life in large-scale studies with
unprecedented spatial and temporal resolution. However, concerns remain
regarding the suitability of novel sensing technologies for scientific and
policy purposes. In this paper we characterise the performance of a portable
personal air quality monitor (PAM) that integrates multiple miniaturised
sensors for nitrogen oxides ( NOx ), carbon monoxide (CO), ozone
( O3 ) and particulate matter (PM) measurements along with temperature,
relative humidity, acceleration, noise and GPS sensors. Overall, the air
pollution sensors showed high reproducibility (mean R ‾ 2 = 0.93 , min–max: 0.80–1.00) and excellent agreement with
standard instrumentation (mean R ‾ 2 = 0.82 , min–max: 0.54–0.99) in outdoor, indoor and commuting
microenvironments across seasons and different geographical settings. An
important outcome of this study is that the error of the PAM is
significantly smaller than the error introduced when estimating personal
exposure based on sparsely distributed outdoor fixed monitoring stations.
Hence, novel sensing technologies such as the ones demonstrated here can
revolutionise health studies by providing highly resolved reliable exposure
metrics at a large scale to investigate the underlying mechanisms of the
effects of air pollution on health.
65 citations
Authors
Showing all 3892 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jie Zhang | 178 | 4857 | 221720 |
Oscar H. Franco | 111 | 822 | 66649 |
Timothy J. Foster | 98 | 420 | 32338 |
Christopher P. Denton | 95 | 675 | 42040 |
Ian Kimber | 91 | 620 | 28629 |
Michael J. Gidley | 86 | 420 | 24313 |
David Carling | 86 | 186 | 45066 |
Anthony Turner | 79 | 489 | 24734 |
Rhys E. Green | 78 | 285 | 30428 |
Vijay Kumar Thakur | 74 | 375 | 17719 |
Dave J. Adams | 73 | 283 | 19526 |
Naresh Magan | 72 | 400 | 17511 |
Aedin Cassidy | 70 | 218 | 17788 |
David A. Basketter | 70 | 325 | 16639 |
Richard C. Strange | 67 | 249 | 17805 |