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Author Walch, O.J.; Cochran, A.; Forger, D.B. url  doi
openurl 
  Title A global quantification of “normal” sleep schedules using smartphone data Type Journal Article
  Year 2016 Publication Science Advances Abbreviated Journal Science Advances  
  Volume 2 Issue 5 Pages e1501705-e1501705  
  Keywords Human Health; Sleep; *Circadian Rhythm; smartphone; society  
  Abstract (up) The influence of the circadian clock on sleep scheduling has been studied extensively in the laboratory; however, the effects of society on sleep remain largely unquantified. We show how a smartphone app that we have developed, ENTRAIN, accurately collects data on sleep habits around the world. Through mathematical modeling and statistics, we find that social pressures weaken and/or conceal biological drives in the evening, leading individuals to delay their bedtime and shorten their sleep. A country’s average bedtime, but not average wake time, predicts sleep duration. We further show that mathematical models based on controlled laboratory experiments predict qualitative trends in sunrise, sunset, and light level; however, these effects are attenuated in the real world around bedtime. Additionally, we find that women schedule more sleep than men and that users reporting that they are typically exposed to outdoor light go to sleep earlier and sleep more than those reporting indoor light. Finally, we find that age is the primary determinant of sleep timing, and that age plays an important role in the variability of population-level sleep habits. This work better defines and personalizes “normal” sleep, produces hypotheses for future testing in the laboratory, and suggests important ways to counteract the global sleep crisis.  
  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 2375-2548 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1440  
Permanent link to this record
 

 
Author Mard, J.; Di Baldassarre, G.; Mazzoleni, M. url  doi
openurl 
  Title Nighttime light data reveal how flood protection shapes human proximity to rivers Type Journal Article
  Year 2018 Publication Science Advances Abbreviated Journal Sci Adv  
  Volume 4 Issue 8 Pages eaar5779  
  Keywords Remote Sensing  
  Abstract (up) To understand the spatiotemporal changes of flood risk, we need to determine the way in which humans adapt and respond to flood events. One adaptation option consists of resettling away from flood-prone areas to prevent or reduce future losses. We use satellite nighttime light data to discern the relationship between long-term changes in human proximity to rivers and the occurrence of catastrophic flood events. Moreover, we explore how these relationships are influenced by different levels of structural flood protection. We found that societies with low protection levels tend to resettle further away from the river after damaging flood events. Conversely, societies with high protection levels show no significant changes in human proximity to rivers. Instead, such societies continue to rely heavily on structural measures, reinforcing flood protection and quickly resettling in flood-prone areas after a flooding event. Our work reveals interesting aspects of human adaptation to flood risk and offers key insights for comparing different risk reduction strategies. In addition, this study provides a framework that can be used to further investigate human response to floods, which is relevant as urbanization of floodplains continues and puts more people and economic assets at risk.  
  Address IHE Delft Institute for Water Education, 2611 AX Delft, Netherlands  
  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 2375-2548 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30140738; PMCID:PMC6105301 Approved no  
  Call Number GFZ @ kyba @ Serial 1989  
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