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Author |
Gao, X.; Li, X.; Zhang, M.; Chi, L.; Song, C.; Liu, Y. |
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Title |
Effects of LED light quality on the growth, survival and metamorphosis ofHaliotis discus hannaiIno larvae |
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Journal Article |
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Year |
2016 |
Publication  |
Aquaculture Research |
Abbreviated Journal |
Aquac Res |
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Volume |
47 |
Issue |
12 |
Pages |
3705–3717 |
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Keywords |
Animals; Haliotis discus hannai Ino; larva; LED light quality; initial stage of lighting; embryonic development; abalone; photobiology |
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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. |
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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. |
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Wiley |
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English |
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English |
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1355557X |
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IDA @ john @ |
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1340 |
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Author |
Rybnikova, N.A.; Haim, A.; Portnova, B.A. |
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Title |
Is Prostate Cancer Incidence Worldwide Linked to Artificial Light at Night Exposures? Earlier Findings' Revisit and Current Trends' Analysis |
Type |
Journal Article |
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Year |
2016 |
Publication |
Archives of Environmental & Occupational Health |
Abbreviated Journal |
Arch Environ Occup Health |
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Volume |
72 |
Issue |
2 |
Pages |
111-122 |
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Keywords |
Human Health; Remote Sensing |
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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. |
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a Department of Natural Resources and Environmental Management, Faculty of Management, University of Haifa, 31805, Carmel, Mt, Israel |
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English |
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1933-8244 |
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PMID:27029744 |
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Call Number |
LoNNe @ kyba @ |
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1412 |
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Author |
Kim, Y.J.; Park, M.S.; Lee, E.; Choi, J.W. |
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Title |
High Incidence of Breast Cancer in Light-Polluted Areas with Spatial Effects in Korea |
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Journal Article |
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Year |
2016 |
Publication |
Asian Pacific Journal for Cancer Prevention |
Abbreviated Journal |
Asian Pac J Cancer Prev |
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Volume |
17 |
Issue |
1 |
Pages |
361-367 |
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Keywords |
Human Health; Light pollution; breast cancer; spatial analysis; intrinsic conditional autoregressive model |
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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. |
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Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Korea; eunil(at)korea.ac.kr. |
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Asian Pacific Organization for Cancer Prevention |
Place of Publication |
Korea |
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English |
Summary Language |
English |
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no |
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Call Number |
IDA @ john @ |
Serial |
1362 |
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Author |
Zhao, X.; Shi, H.; Yu, H.; Yang, P. |
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Title |
Inversion of Nighttime PM2.5 Mass Concentration in Beijing Based on the VIIRS Day-Night Band |
Type |
Journal Article |
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Year |
2016 |
Publication |
Atmosphere |
Abbreviated Journal |
Atmosphere |
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Volume |
7 |
Issue |
10 |
Pages |
136 |
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Keywords |
Remote Sensing |
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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 μg/m3 with the average of 59.39 μg/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 μg/m3. The study provides a superiority approach for monitoring PM2.5 air quality from space with visible light remote sensing data at night. |
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2073-4433 |
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no |
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LoNNe @ kyba @ |
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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. |
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Title |
Satellite observation of pollutant emissions from gas flaring activities near the Arctic |
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Journal Article |
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Year |
2016 |
Publication |
Atmospheric Environment |
Abbreviated Journal |
Atmospheric Environment |
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Volume |
133 |
Issue |
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Pages |
1-11 |
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Keywords |
Remote Sensing |
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ISSN |
1352-2310 |
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Call Number |
LoNNe @ kyba @ |
Serial |
1373 |
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