| Records |
| Author |
Wurtman, R.J. |
| Title |
The Pineal and Endocrine Function |
Type |
Journal Article |
| Year |
1969 |
Publication |
Hospital Practice |
Abbreviated Journal |
Hospital Practice |
| Volume |
4 |
Issue |
1 |
Pages |
32-37 |
| Keywords |
Human Health |
| Abstract |
Recognition that levels of hormonal secretion vary markedly from day to night has triggered intensive investigation into the influence of environmental light upon endocrine function. These studies have pointed to the pineal gland as a major mediator of a wide variety of hormonal responses involving the gonads, thyroid, and pituitary, and the hypothalamus and other regions of the brain. |
| Address |
Human Health |
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Edition |
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| ISSN |
2154-8331 |
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| Notes |
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Call Number  |
GFZ @ kyba @ |
Serial |
2037 |
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| Author |
Li, K.; Chen, Y.; Li, Y. |
| Title |
The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data |
Type |
Journal Article |
| Year |
2018 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
| Volume |
10 |
Issue |
10 |
Pages |
1650 |
| Keywords |
Remote Sensing |
| Abstract |
Despite the importance of high-resolution population distribution in urban planning, disaster prevention and response, region economic development, and improvement of urban habitant environment, traditional urban investigations mainly focused on large-scale population spatialization by using coarse-resolution nighttime light (NTL) while few efforts were made to fine-resolution population mapping. To address problems of generating small-scale population distribution, this paper proposed a method based on the Random Forest Regression model to spatialize a 25 m population from the International Space Station (ISS) photography and urban function zones generated from social sensing data—point-of-interest (POI). There were three main steps, namely HSL (hue saturation lightness) transformation and saturation calibration of ISS, generating functional-zone maps based on point-of-interest, and spatializing population based on the Random Forest model. After accuracy assessments by comparing with WorldPop, the proposed method was validated as a qualified method to generate fine-resolution population spatial maps. In the discussion, this paper suggested that without help of auxiliary data, NTL cannot be directly employed as a population indicator at small scale. The Variable Importance Measure of the RF model confirmed the correlation between features and population and further demonstrated that urban functions performed better than LULC (Land Use and Land Cover) in small-scale population mapping. Urban height was also shown to improve the performance of population disaggregation due to its compensation of building volume. To sum up, this proposed method showed great potential to disaggregate fine-resolution population and other urban socio-economic attributes. |
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| ISSN |
2072-4292 |
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no |
| Call Number |
GFZ @ kyba @ |
Serial |
2038 |
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| Author |
Kozaki, T.; Hidaka, Y.; Takakura, J.-Y.; Kusano, Y. |
| Title |
Suppression of salivary melatonin secretion under 100-Hz flickering and non-flickering blue light |
Type |
Journal Article |
| Year |
2018 |
Publication |
Journal of Physiological Anthropology |
Abbreviated Journal |
J Physiol Anthropol |
| Volume |
37 |
Issue |
1 |
Pages |
23 |
| Keywords |
Human Health |
| Abstract |
BACKGROUND: Bright light at night is known to suppress melatonin secretion. Novel photoreceptors named intrinsically photosensitive retinal ganglion cells (ipRGCs) are mainly responsible for projecting dark/bright information to the suprachiasmatic nucleus and thus regulating the circadian system. However, it has been shown that the amplitude of the electroretinogram of ipRGCs is considerably lower under flickering light at 100 Hz than at 1-5 Hz, suggesting that flickering light may also affect the circadian system. Therefore, in this study, we evaluated light-induced melatonin suppression under flickering and non-flickering light. METHODS: Twelve male participants between the ages of 20 and 23 years (mean +/- S.D. = 21.6 +/- 1.5 years) were exposed to three light conditions (dim, 100-Hz flickering, and non-flickering blue light) from 1:00 A.M. to 2:30 A.M., and saliva samples were obtained just before 1:00 A.M. and at 1:15, 1:30, 2:00, and 2:30 A.M. RESULTS: A repeated measures t test with Bonferroni correction showed that at 1:15 A.M., melatonin concentrations were significantly lower following exposure to non-flickering light compared with dim light, whereas there was no significant difference between the dim and 100-Hz flickering light conditions. By contrast, after 1:30 A.M., the mean melatonin concentrations were significantly lower under both 100-Hz flickering and non-flickering light than under dim light. CONCLUSION: Although melatonin suppression rate tended to be lower under 100-Hz flickering light than under non-flickering light at the initial 15 min of the light exposure, the present study suggests that 100-Hz flickering light may have the same impact on melatonin secretion as non-flickering light. |
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Department of Health and Nutrition Sciences, Nishikyushu University, Kanzaki, Japan |
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English |
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Edition |
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| ISSN |
1880-6791 |
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| Notes |
PMID:30340620 |
Approved |
no |
| Call Number |
GFZ @ kyba @ |
Serial |
2039 |
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| Author |
Cao, C.; Shao, X.; Uprety, S. |
| Title |
Detecting Light Outages After Severe Storms Using the S-NPP/VIIRS Day/Night Band Radiances |
Type |
Journal Article |
| Year |
2013 |
Publication |
IEEE Geoscience and Remote Sensing Letters |
Abbreviated Journal |
IEEE Geosci. Remote Sensing Lett. |
| Volume |
10 |
Issue |
6 |
Pages |
1582-1586 |
| Keywords |
Remote Sensing |
| Abstract |
Power outages after a major storm affect the lives of millions of people and cause massive light outages. The launch of the Suomi National Polar-orbiting Partnership satellite with the Visible Infrared Imaging Radiometer Suite (VIIRS) significantly enhances our capability to monitor and detect light outages with the well-calibrated day/night band (DNB) and to use light loss signatures as indication of regional power outages. This study explores the use of the DNB in quantifying light outages due to the derecho storm in the Washington DC metropolitan area in June 2012 and Hurricane Sandy at the end of October 2012 on the East Coast of U.S. The results show that the DNB data are very useful in detecting power outages by quantifying light loss, but it also has some challenges due to clouds, lunar illumination, and straylight effect. Comparison of light outage and recovery trend determined from DNB data with power company survey shows reasonable agreement, demonstrating the usefulness of DNB in independently verifying and complementing the statistics from power companies. |
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1545-598X |
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Approved |
no |
| Call Number |
GFZ @ kyba @ |
Serial |
2040 |
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| Author |
Cao, X.; Chen, J.; Imura, H.; Higashi, O. |
| Title |
A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data |
Type |
Journal Article |
| Year |
2009 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
| Volume |
113 |
Issue |
10 |
Pages |
2205-2209 |
| Keywords |
Remote Sensing |
| Abstract |
Mapping urban areas at regional and global scales has become an urgent task because of the increasing pressures from rapid urbanization and associated environmental problems. Satellite imaging of stable anthropogenic lights from DMSP-OLS provides an accurate, economical, and straightforward way to map the global distribution of urban areas. To address problems in the thresholding methods that use empirical strategies or manual trial-and-error procedures, we proposed a support vector machine (SVM)-based region-growing algorithm to semi-automatically extract urban areas from DMSP-OLS and SPOT NDVI data. Several simple criteria were used to select SVM training sets of urban and non-urban pixels, and an iterative classification and training procedure was adopted to identify the urban pixels through region growing. The new method was validated using the extents of 25 Chinese cities, as classified by Landsat ETM+ images, and then compared with two common thresholding methods. The results showed that the SVM-based algorithm could not only achieve comparable results to the local-optimized threshold method, but also avoid its tedious trial-and-error procedure, suggesting that the new method is an easy and simple alternative for extracting urban extent from DMSP-OLS and SPOT NDVI data. |
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| ISSN |
0034-4257 |
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| Notes |
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Approved |
no |
| Call Number |
GFZ @ kyba @ |
Serial |
2041 |
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