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Author | O'Connell, H. A. | ||||
Title | Streetlights in the city: understanding the distribution of Houston streetlights | Type ![]() |
Journal Article | ||
Year | 2017 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | |||
Keywords | Lighting; Society | ||||
Abstract | There are at least 173,724 streetlights in the city of Houston, or about 15 streetlights per mile of roadway in the average Houston neighborhood. But there is wide variation in streetlight density across those neighborhoods. This report offers several important findings. First, black and Hispanic neighborhoods have higher concentrations of streetlights than white neighborhoods. Second, mixed-income neighborhoods tend to have higher concentrations of streetlights than the city’s wealthiest and poorest neighborhoods. In the context of this discussion, we should consider the possibility that some areas of the city are overly lit in addition to being concerned about the places without enough lights. There may be a point at which having more lights actually becomes a negative. We need to get a better understanding of the lived consequences of the level of available lighting before making any further decisions regarding city streetlights. |
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Publisher | Rice | Kinder Institute for urban research | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | GFZ @ kyba @ | Serial | 2068 | ||
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Author | Penchalaiah, K., Kumari, A.V., Naik, R.S., Deepthi, M. | ||||
Title | Paederus Dermatitis: A Clinical Study of 200 Cases | Type ![]() |
Journal Article | ||
Year | 2017 | Publication | Indian Journal of Applied Research | Abbreviated Journal | |
Volume | 7 | Issue | 4 | Pages | 65-67 |
Keywords | Human Health | ||||
Abstract | Introduction: Paederus dermatitis is peculiar irritant dermatitis seen in regions with warm, tropical and subtropical regions, like India, causes significant morbidity and can be misleading in diagnosis. The study was conducted to know the clinical profile of Paederus dermatitis and to create awareness among medical practitioners about this condition. Materials & Methods: All clinically diagnosed cases of Paederus dermatitis were included in the study. Detailed history was taken and a thorough clinical examination was conducted in all the cases. Results: A total of 200 cases comprising of 124 males and 76 females were studied. Morphology of lesions was mainly linear, but zosteriform, kissing and bizarre lesions were also observed. Conclusion: Paederus dermatitis should be included in differential diagnosis while examining erythemato– vesicular lesions of sudden onset, especially on exposed body parts during rainy and post rainy season. Awareness of this condition and its clinical features among the physicians and medical practitioners will prevent misdiagnosis. | ||||
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Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | NC @ ehyde3 @ | Serial | 2069 | ||
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Author | Griepentrog, J.E.; Labiner, H.E.; Gunn, S.R.; Rosengart, M.R. | ||||
Title | Bright environmental light improves the sleepiness of nightshift ICU nurses | Type ![]() |
Journal Article | ||
Year | 2018 | Publication | Critical Care (London, England) | Abbreviated Journal | Crit Care |
Volume | 22 | Issue | 1 | Pages | 295 |
Keywords | Circadian; Light; Night shift; Nurse; Shift work sleep disorder | ||||
Abstract | BACKGROUND: Shift work can disturb circadian homeostasis and result in fatigue, excessive sleepiness, and reduced quality of life. Light therapy has been shown to impart positive effects in night shift workers. We sought to determine whether or not prolonged exposure to bright light during a night shift reduces sleepiness and enhances psychomotor performance among ICU nurses. METHODS: This is a single-center randomized, crossover clinical trial at a surgical trauma ICU. ICU nurses working a night shift were exposed to a 10-h period of high illuminance (1500-2000 lx) white light compared to standard ambient fluorescent lighting of the hospital. They then completed the Stanford Sleepiness Scale and the Psychomotor Vigilance Test. The primary and secondary endpoints were analyzed using the paired t test. A p value <0.05 was considered significant. RESULTS: A total of 43 matched pairs completed both lighting exposures and were analyzed. When exposed to high illuminance lighting subjects experienced reduced sleepiness scores on the Stanford Sleepiness Scale than when exposed to standard hospital lighting: mean (sem) 2.6 (0.2) vs. 3.0 (0.2), p = 0.03. However, they committed more psychomotor errors: 2.3 (0.2) vs. 1.7 (0.2), p = 0.03. CONCLUSIONS: A bright lighting environment for ICU nurses working the night shift reduces sleepiness but increases the number of psychomotor errors. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03331822 . Retrospectively registered on 6 November 2017. |
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Address | Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA. rosengartmr@upmc.edu | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | English | Summary Language | Original Title | ||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1364-8535 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | PMID:30424793 | Approved | no | ||
Call Number | GFZ @ kyba @ | Serial | 2070 | ||
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Author | Chen, J.; Fan, W.; Li, K.; Liu, X.; Song, M. | ||||
Title | Fitting Chinese cities’ population distributions using remote sensing satellite data | Type ![]() |
Journal Article | ||
Year | 2019 | Publication | Ecological Indicators | Abbreviated Journal | Ecological Indicators |
Volume | 98 | Issue | Pages | 327-333 | |
Keywords | Remote Sensing | ||||
Abstract | Remote sensing satellite data from 2012 to 2013 are used to fit the Chinese cities’ population distributions over the same period in order to verify the population distribution in China from a relatively objective perspective. Most scholars have used nighttime light data and vegetation indexes to fit the population distribution, but the fitting effect has not been satisfactory. In this paper, processed Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data, net primary productivity of vegetation (NPP), and average slope data were used to fit the population distribution from the three dimensions of economic growth, ecological environment, and topographic factors, respectively. The fitting effect was significantly improved compared with other studies (R2 values of 0.9244 and 0.9253 in 2012 and 2013, respectively). Therefore, this method provides a practical and effective way to fit the population distribution for remote cities or areas lacking census data. Furthermore, there is important practical significance for the government to formulate its population policies rationally, optimize the spatial distribution of population, and improve the ecological quality of the city. | ||||
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Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1470160X | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | GFZ @ kyba @ | Serial | 2071 | ||
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Author | Gonzalez, M.M.C.; Golombek, D.A. | ||||
Title | Editorial: Let There Be Light: Biological Impact of Light Exposure in the Laboratory and the Clinic | Type ![]() |
Journal Article | ||
Year | 2018 | Publication | Frontiers in Neurology | Abbreviated Journal | Front Neurol |
Volume | 9 | Issue | Pages | ||
Keywords | Commentary; Animals | ||||
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Address | Department of Science and Technology, Universidad Nacional de Quilmes, Bernal, Argentina | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | English | Summary Language | Original Title | ||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1664-2295 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | PMID:30356725; PMCID:PMC6189324 | Approved | no | ||
Call Number | NC @ ehyde3 @ | Serial | 2072 | ||
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