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Author Rea, M.S.; Figueiro, M.G.
Title The NICU Lighted Environment Type Journal Article
Year 2016 Publication Newborn and Infant Nursing Reviews Abbreviated Journal Newborn and Infant Nursing Reviews
Volume 16 Issue 4 Pages 195-202
Keywords Human Health
Abstract Lighting technologies are rapidly evolving, creating many opportunities for good lighting within the NICU. With the widespread adoption of advanced solid-state lighting technologies, lighting no longer needs to be static. Rather, lighting systems can be more easily adjusted to the different and changing visual and non-visual needs of the professional staff, infants and family members throughout the 24-hour day. This paper provides a conceptual framework for defining good lighting in the NICU, recognizing the needs of various constituent groups, each with very different needs from the lighting. Several other papers on the topic of lighting for various constituent groups at different times of the day in the NICU are summarized. Attention is given specifically to the Recommended Standards for Newborn ICU Design, a consensus standard developed by a wide range of experts, to help the reader translate this conceptual framework to practice.
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Series Volume Series Issue Edition
ISSN 1527-3369 ISBN Medium
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Notes Approved no
Call Number LoNNe @ kyba @ Serial 1528
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Author Pacheco, Y.M.; Martin, G.J.; Bybee, S.M.
Title On the Phototactic Response of RwandanDiaphanesMotschulsky (Coleoptera: Lampyridae) to a Trap with a 630Nm Red Light Type Journal Article
Year 2016 Publication The Coleopterists Bulletin Abbreviated Journal The Coleopterists Bulletin
Volume 70 Issue 3 Pages 559-561
Keywords Animals
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ISSN 0010-065X ISBN Medium
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Notes Approved no
Call Number LoNNe @ kyba @ Serial 1531
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Author Muralidhar, P.; Srihari, V.
Title Excessive light is another form of pollution on the environment Type Journal Article
Year 2016 Publication ACADEMICIA: An International Multidisciplinary Research Journal Abbreviated Journal Academicia: An Inter. Multidiscipl. Rese. Jour.
Volume 6 Issue 8 Pages 19
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ISSN 2249-7137 ISBN Medium
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Notes Approved no
Call Number LoNNe @ kyba @ Serial 1535
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Author Cozzolino, E.; Lasta, C.A.
Title Use of VIIRS DNB satellite images to detect jigger ships involved in the Illex argentinus fishery Type Journal Article
Year 2016 Publication Remote Sensing Applications: Society and Environment Abbreviated Journal Remote Sensing Applications: Society and Environment
Volume 4 Issue Pages 167-178
Keywords Remote Sensing
Abstract The distribution of Illex argentinus squid extends from 23°S to 54°S. The largest catches of the species, which represents one of the most important fisheries in Argentina, take place between 35°S and 52°S. Argentina's fisheries administration keeps close records of the Argentine fleet position and the Cephalopod laboratory at the Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP) monitors and suggests actions for the management of the resource. The catches are carried out both within national and adjacent international waters. Fleets from different countries participate in the fisheries operating jigger vessels during the night with strong lights to attract the squid. One of the greatest difficulties in the evaluation of the status of this resource is to know the number of foreign vessels fishing outside the Argentine Exclusive Economic Zone (EEZ). The Visible Infrared Imaging Radiometer (VIIRS) day/night band (DNB) satellite images are a useful tool to monitor and quantify these fleets, building on the capacity of the sensors to detect the light emitted by the lamps placed on the ship decks. In this work, we report the development of a specific new method (set of algorithms) to process the images and identify automatically the jigger ships that compose the overseas fleet. Results were validated using the positioning data of the Argentine jigger fleet and comparing light emissions of these vessels against those identified by the new method. The process of identifying ships has proved to be robust considering the statistical results obtained: mean relative error (MRE) of 0.03% and a root-mean-square error (RMSE) of 1.62 ships.
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ISSN 2352-9385 ISBN Medium
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Notes Approved no
Call Number LoNNe @ kyba @ Serial 1536
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Author Travis, R.C.; Balkwill, A.; Fensom, G.K.; Appleby, P.N.; Reeves, G.K.; Wang, X.-S.; Roddam, A.W.; Gathani, T.; Peto, R.; Green, J.; Key, T.J.; Beral, V.
Title Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies Type Journal Article
Year 2016 Publication Journal of the National Cancer Institute Abbreviated Journal JNCI J Natl Cancer Inst
Volume 108 Issue 12 Pages djw169
Keywords Human Health
Abstract Background: It has been proposed that night shift work could increase breast cancer incidence. A 2007 World Health Organization review concluded, mainly from animal evidence, that shift work involving circadian disruption is probably carcinogenic to humans. We therefore aimed to generate prospective epidemiological evidence on night shift work and breast cancer incidence.

Methods: Overall, 522 246 Million Women Study, 22 559 EPIC-Oxford, and 251 045 UK Biobank participants answered questions on shift work and were followed for incident cancer. Cox regression yielded multivariable-adjusted breast cancer incidence rate ratios (RRs) and 95% confidence intervals (CIs) for night shift work vs no night shift work, and likelihood ratio tests for interaction were used to assess heterogeneity. Our meta-analyses combined these and relative risks from the seven previously published prospective studies (1.4 million women in total), using inverse-variance weighted averages of the study-specific log RRs.

Results: In the Million Women Study, EPIC-Oxford, and UK Biobank, respectively, 673, 28, and 67 women who reported night shift work developed breast cancer, and the RRs for any vs no night shift work were 1.00 (95% CI = 0.92 to 1.08), 1.07 (95% CI = 0.71 to 1.62), and 0.78 (95% CI = 0.61 to 1.00). In the Million Women Study, the RR for 20 or more years of night shift work was 1.00 (95% CI = 0.81 to 1.23), with no statistically significant heterogeneity by sleep patterns or breast cancer risk factors. Our meta-analysis of all 10 prospective studies included 4660 breast cancers in women reporting night shift work; compared with other women, the combined relative risks were 0.99 (95% CI = 0.95 to 1.03) for any night shift work, 1.01 (95% CI = 0.93 to 1.10) for 20 or more years of night shift work, and 1.00 (95% CI = 0.87 to 1.14) for 30 or more years.

Conclusions: The totality of the prospective evidence shows that night shift work, including long-term shift work, has little or no effect on breast cancer incidence.
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ISSN 0027-8874 ISBN Medium
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Notes Approved no
Call Number LoNNe @ kyba @ Serial 1540
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