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Author McGlashan, E.M.; Nandam, L.S.; Vidafar, P.; Mansfield, D.R.; Rajaratnam, S.M.W.; Cain, S.W. url  doi
openurl 
  Title The SSRI citalopram increases the sensitivity of the human circadian system to light in an acute dose Type Journal Article
  Year 2018 Publication Psychopharmacology Abbreviated Journal Psychopharmacology (Berl)  
  Volume in press Issue Pages in press  
  Keywords Human Health  
  Abstract RATIONALE: Disturbances of the circadian system are common in depression. Though they typically subside when depression is treated with antidepressants, the mechanism by which this occurs is unknown. Despite being the most commonly prescribed class of antidepressants, the effect of selective serotonin reuptake inhibitors (SSRIs) on the human circadian clock is not well understood. OBJECTIVE: To examine the effect of the SSRI citalopram (30 mg) on the sensitivity of the human circadian system to light. METHODS: This study used a double-blind, placebo-controlled, within-subjects, crossover design. Participants completed two melatonin suppression assessments in room level light (~ 100 lx), taking either a single dose of citalopram 30 mg or a placebo at the beginning of each light exposure. Melatonin suppression was calculated by comparing placebo and citalopram light exposure conditions to a dim light baseline. RESULTS: A 47% increase in melatonin suppression was observed after administration of an acute dose of citalopram, with all participants showing more suppression after citalopram administration (large effect, d = 1.54). Further, melatonin onset occurred later under normal room light with citalopram compared to placebo. CONCLUSIONS: Increased sensitivity of the circadian system to light could assist in explaining some of the inter-individual variability in antidepressant treatment responses, as it is likely to assist in recovery in some patients, while causing further disruption for others.  
  Address Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC, 3800, Australia. sean.cain@monash.edu  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
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  ISSN (up) 0033-3158 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30219986 Approved no  
  Call Number GFZ @ kyba @ Serial 2012  
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Author Román, M.O.; Wang, Z.; Sun, Q.; Kalb, V.; Miller, S.D.; Molthan, A.; Schultz, L.; Bell, J.; Stokes, E.C.; Pandey, B.; Seto, K.C.; Hall, D.; Oda, T.; Wolfe, R.E.; Lin, G.; Golpayegani, N.; Devadiga, S.; Davidson, C.; Sarkar, S.; Praderas, C.; Schmaltz, J.; Boller, R.; Stevens, J.; Ramos González, O.M.; Padilla, E.; Alonso, J.; Detrés, Y.; Armstrong, R.; Miranda, I.; Conte, Y.; Marrero, N.; MacManus, K.; Esch, T.; Masuoka, E.J. url  doi
openurl 
  Title NASA's Black Marble nighttime lights product suite Type Journal Article
  Year 2018 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 210 Issue Pages 113-143  
  Keywords Remote Sensing  
  Abstract NASA's Black Marble nighttime lights product suite (VNP46) is available at 500 m resolution since January 2012 with data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP). The retrieval algorithm, developed and implemented for routine global processing at NASA's Land Science Investigator-led Processing System (SIPS), utilizes all high-quality, cloud-free, atmospheric-, terrain-, vegetation-, snow-, lunar-, and stray light-corrected radiances to estimate daily nighttime lights (NTL) and other intrinsic surface optical properties. Key algorithm enhancements include: (1) lunar irradiance modeling to resolve non-linear changes in phase and libration; (2) vector radiative transfer and lunar bidirectional surface anisotropic reflectance modeling to correct for atmospheric and BRDF effects; (3) geometric-optical and canopy radiative transfer modeling to account for seasonal variations in NTL; and (4) temporal gap-filling to reduce persistent data gaps. Extensive benchmark tests at representative spatial and temporal scales were conducted on the VNP46 time series record to characterize the uncertainties stemming from upstream data sources. Initial validation results are presented together with example case studies illustrating the scientific utility of the products. This includes an evaluation of temporal patterns of NTL dynamics associated with urbanization, socioeconomic variability, cultural characteristics, and displaced populations affected by conflict. Current and planned activities under the Group on Earth Observations (GEO) Human Planet Initiative are aimed at evaluating the products at different geographic locations and time periods representing the full range of retrieval conditions.  
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  ISSN (up) 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 1846  
Permanent link to this record
 

 
Author Zheng, Q.; Weng, Q.; Huang, L.; Wang, K.; Deng, J.; Jiang, R.; Ye, Z.; Gan, M. url  doi
openurl 
  Title A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B Type Journal Article
  Year 2018 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 215 Issue Pages 300-312  
  Keywords Remote Sensing  
  Abstract Artificial light at night (ALAN) provides a unique footprint of human activities and settlements. However, the adverse effects of ALAN on human health and ecosystems have not been well understood. Because of a lack of high resolution data, studies of ALAN in China have been confined to coarse resolution, and fine-scale details are missing. The fine details of ALAN are pertinent, because the highly dense population in Chinese cities has created a distinctive urban lighting pattern. In this paper, we introduced a new generation of high spatial resolution and multi-spectral night-time light imagery from the satellite JL1-3B. We examined its effectiveness for monitoring the spatial pattern and discriminating the types of artificial light based on a case study of Hangzhou, China. Specifically, local Moran's I analysis was applied to identify artificial light hotspots. Then, we analyzed the relationship between artificial light brightness and land uses at the parcel-level, which were generated from GF-2 imagery and open social datasets. Third, a machine learning based method was proposed to discriminate the type of lighting sources – between high pressure sodium lamps (HPS) and light-emitting diode lamps (LED) – by incorporating their spectral information and morphology feature. The result shows a complicated heterogeneity of illumination characteristics across different land uses, where main roads, commercial and institutional areas were brightly lit while residential area, industrial area and agricultural land were dark at night. It further shows that the proposed method was effective at separating light emitted by HPS and LED, with an overall accuracy and kappa coefficient of 83.86% and 0.67, respectively. This study demonstrates the effectiveness of JL1-3B and its superiority over previous night-time light data in detecting details of lighting objects and the nightscape pattern, and suggests that JL1-3B and alike could open up new opportunities for the advancement of night-time remote sensing.  
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  ISSN (up) 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 1945  
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Author Zhou, Y.; Li, X.; Asrar, G.R.; Smith, S.J.; Imhoff, M. url  doi
openurl 
  Title A global record of annual urban dynamics (1992–2013) from nighttime lights Type Journal Article
  Year 2018 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 219 Issue Pages 206-220  
  Keywords Remote Sensing  
  Abstract The nighttime light (NTL) observations from Defense Meteorological Satellite Program/Operational Linescane System (DMSP/OLS) offer great potentials to study urban dynamics from regional to global scales, for more than two decades. In this paper, we presented a new approach to develop spatially and temporally consistent global urban maps from 1992 to 2013, using the DMSP/OLS NTL observations. First, potential urban clusters were delineated using the NTL data and a segmentation method. Then, a quantile-based approach was used to remove rural and suburban areas sequentially in the potential urban clusters. Finally, the derived series of urban extents in the entire study period (1992–2013) were improved for temporal consistency. We found the percentage of global urban areas relative to the world's land surface area increased from 0.23% in 1992 to 0.53% in 2013. Asia is the continent with the most significant urban growth, worldwide. The time series of global urban maps were evaluated for the spatial agreement and temporal consistency using a variety of widely used independent land-cover products. This evaluation indicates that the proposed approach is robust and performs well in deriving global urban dynamics across different spatial scales, i.e., cluster, province (or state), country, and region. Moreover, this quantile-based approach is advantageous, compared with other methods used in previous studies, because it does not require additional data for enhancement or calibration. The new time series of urban maps from this study offer a new dataset for studying global urbanization during the past decades and unique information to explore potential future trajectories of urban development, which appears to be distinct for different nations/regions, globally. Such information is pre-requisite for achieving the sustainable development goals, and associated targets, during ensuing decades.  
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  ISSN (up) 0034-4257 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2048  
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Author Wang, L.; Wang, S.; Zhou, Y.; Liu, W.; Hou, Y.; Zhu, J.; Wang, F. url  doi
openurl 
  Title Mapping population density in China between 1990 and 2010 using remote sensing Type Journal Article
  Year 2018 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 210 Issue Pages 269-281  
  Keywords Remote Sensing  
  Abstract Knowledge of the spatial distribution of populations at finer spatial scales is of significant value and fundamental to many applications such as environmental change, urbanization, regional planning, public health, and disaster management. However, detailed assessment of the population distribution data of countries that have large populations (such as China) and significant variation in distribution requires improved data processing methods and spatialization models. This paper described the construction of a novel population spatialization method by combining land use/cover data and night-light data. Based on the analysis of data characteristics, the method used partial correlation analysis and geographically weighted regression to improve the distribution accuracy and reduce regional errors. China's census data for the years 1990, 2000, and 2010 were assessed. The results showed that the method was better at population spatialization than methods that use only night-light data or land use/cover data and global linear regression. Evaluation of overall accuracies revealed that the coefficient of correlation R-square was >0.90 and increased by >0.13 in the years 1990, 2000, and 2010. Moreover, the local R-square of over 90% of the samples (counties) was higher than the adjusted R-square of the general linear regression model. Furthermore, the gridded population density datasets obtained by this method can be used to analyse spatial-temporal patterns of population density and provide population distribution information with increased accuracy and precision compared to conventional models.  
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  ISSN (up) 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2480  
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