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Author Gao, X.; Li, X.; Zhang, M.; Chi, L.; Song, C.; Liu, Y.
Title Effects of LED light quality on the growth, survival and metamorphosis ofHaliotis discus hannaiIno larvae Type Journal Article
Year 2016 Publication (up) Aquaculture Research Abbreviated Journal Aquac Res
Volume 47 Issue 12 Pages 3705–3717
Keywords Animals; Haliotis discus hannai Ino; larva; LED light quality; initial stage of lighting; embryonic development; abalone; photobiology
Abstract Light is a key environmental factor influencing the growth, development and survival of aquatic organisms. We examined the effects of different light qualities (red, orange, white, blue, green or no light) and developmental stage at initial lighting [fertilized egg (FE), trochophore larva (TL), or eye-spot larva (EL)] on the growth, development, and survival of larvae of the Pacific abalone Haliotis discus hannai Ino. Larva-hatching success was significantly higher under blue, green, or no light compared with red, orange or white light (P < 0.05). Larval abnormalities were significantly increased under red, orange or white light compared with all other light qualities (P < 0.05). The incidence of metamorphosis in larvae illuminated from the TL stage was significantly higher under blue compared with other light qualities. Irrespective of the stage at initial illumination, the incidence of metamorphosis was lower in larvae cultured under red, orange or no light compared with other light qualities, but the differences were not significant (P > 0.05). Juvenile survival was significantly higher under blue or green compared with other light qualities (P < 0.05), with no significant effect of stage at initial illumination (P > 0.05). Larval size at completion of the shell was unaffected by stage at initial illumination, but was greater under blue or green light, while size at metamorphosis was greatest following illumination with blue or green light since the TL or EL stage (P < 0.05). Metamorphosis time was shortest with blue or green light and in cultures illuminated from the FE or TL stage (P < 0.05). Larval development from the FE to formation of the fourth tubule on the cephalic tentacles was fastest in larvae exposed since the FE or TL stage to blue or green light, compared with other light qualities (P < 0.05). However, there was no difference in terms of the rate of development from the FE to the TL stage between cultures lit or unlit since the FE egg stage (P > 0.05). These results suggest that a blue or green light source applied from the TL stage can increase the hatching and yield of H. discus hannai Ino, with important implications for the development of the aquaculture industry.
Address Research and Development Center of Marine Biotechnology, Institute of Oceanology, Chinese Academy of Science, 7 Nanhai Road, Qingdao 266071, Shandong Province, China; 18354292961(at)163.com.
Corporate Author Thesis
Publisher Wiley Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1355557X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 1340
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Author Rybnikova, N.A.; Haim, A.; Portnova, B.A.
Title Is Prostate Cancer Incidence Worldwide Linked to Artificial Light at Night Exposures? Earlier Findings' Revisit and Current Trends' Analysis Type Journal Article
Year 2016 Publication (up) Archives of Environmental & Occupational Health Abbreviated Journal Arch Environ Occup Health
Volume 72 Issue 2 Pages 111-122
Keywords Human Health; Remote Sensing
Abstract Widespread use of artificial light at night (ALAN) might contribute to the global burden of hormone-dependent cancers. However, previous attempts to verify this association in population-level studies have been sparse. Using the GLOBOCAN, US-DMSP and World Bank's 2010-2012 databases, we studied the association between ALAN and prostate cancer (PC) incidence in 180 countries worldwide, controlling for several country-level confounders. As our analysis indicates, the PC-ALAN association emerged marginally significant when year-2012 PC age-standardized rate data were compared with ALAN levels (t = 1.886, P<0.1); while this association emerged as more significant (t>2.7; P<0.01) when only 110 countries with well-maintained cancer registries were analyzed. Along with other variables, ALAN explains up to 79% of PC ASRs variability. PC-ALAN association appears to vary regionally, with the greatest deviations in Central Africa, Small Island Developing States, South East Asia and Gulf States.
Address a Department of Natural Resources and Environmental Management, Faculty of Management, University of Haifa, 31805, Carmel, Mt, Israel
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 1933-8244 ISBN Medium
Area Expedition Conference
Notes PMID:27029744 Approved no
Call Number LoNNe @ kyba @ Serial 1412
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Author Kim, Y.J.; Park, M.S.; Lee, E.; Choi, J.W.
Title High Incidence of Breast Cancer in Light-Polluted Areas with Spatial Effects in Korea Type Journal Article
Year 2016 Publication (up) Asian Pacific Journal for Cancer Prevention Abbreviated Journal Asian Pac J Cancer Prev
Volume 17 Issue 1 Pages 361-367
Keywords Human Health; Light pollution; breast cancer; spatial analysis; intrinsic conditional autoregressive model
Abstract We have reported a high prevalence of breast cancer in light-polluted areas in Korea. However, it is necessary to analyze the spatial effects of light polluted areas on breast cancer because light pollution levels are correlated with region proximity to central urbanized areas in studied cities. In this study, we applied a spatial regression method (an intrinsic conditional autoregressive [iCAR] model) to analyze the relationship between the incidence of breast cancer and artificial light at night (ALAN) levels in 25 regions including central city, urbanized, and rural areas. By Poisson regression analysis, there was a significant correlation between ALAN, alcohol consumption rates, and the incidence of breast cancer. We also found significant spatial effects between ALAN and the incidence of breast cancer, with an increase in the deviance information criterion (DIC) from 374.3 to 348.6 and an increase in R² from 0.574 to 0.667. Therefore, spatial analysis (an iCAR model) is more appropriate for assessing ALAN effects on breast cancer. To our knowledge, this study is the first to show spatial effects of light pollution on breast cancer, despite the limitations of an ecological study. We suggest that a decrease in ALAN could reduce breast cancer more than expected because of spatial effects.
Address Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Korea; eunil(at)korea.ac.kr.
Corporate Author Thesis
Publisher Asian Pacific Organization for Cancer Prevention Place of Publication Korea Editor
Language English Summary Language English 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 IDA @ john @ Serial 1362
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Author Zhao, X.; Shi, H.; Yu, H.; Yang, P.
Title Inversion of Nighttime PM2.5 Mass Concentration in Beijing Based on the VIIRS Day-Night Band Type Journal Article
Year 2016 Publication (up) Atmosphere Abbreviated Journal Atmosphere
Volume 7 Issue 10 Pages 136
Keywords Remote Sensing
Abstract In order to monitor nighttime particular matter (PM) air quality in urban area, a back propagation neural network (BP neural network) inversion model is established, using low-light radiation data from the day/night band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) aboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite. The study focuses on the moonless and cloudless nights in Beijing during March–May 2015. A test is carried out by selecting surface PM2.5 data from 12 PM2.5 automatic monitoring stations and the corresponding night city light intensity from DNB. As indicated by the results, the linear correlation coefficient (R) between the results and the corresponding measured surface PM2.5 concentration is 0.91, and the root-mean-square error (RMSE) is 14.02 &#956;g/m3 with the average of 59.39 &#956;g/m3. Furthermore, the BP neural network model shows better accuracy when air relative humility ranges from 40% to 80% and surface PM2.5 concentration exceeds 40 &#956;g/m3. The study provides a superiority approach for monitoring PM2.5 air quality from space with visible light remote sensing data at night.
Address
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 2073-4433 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1546
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Author Li, C.; Hsu, N.C.; Sayer, A.M.; Krotkov, N.A.; Fu, J.S.; Lamsal, L.N.; Lee, J.; Tsay, S.-C.
Title Satellite observation of pollutant emissions from gas flaring activities near the Arctic Type Journal Article
Year 2016 Publication (up) Atmospheric Environment Abbreviated Journal Atmospheric Environment
Volume 133 Issue Pages 1-11
Keywords Remote Sensing
Abstract
Address
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 1352-2310 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1373
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