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Author Daneshmandi, M.; Neiseh, F.; SadeghiShermeh, M.; Ebadi, A. url  doi
openurl 
  Title Effect of eye mask on sleep quality in patients with acute coronary syndrome Type Journal Article
  Year 2012 Publication Journal of Caring Sciences Abbreviated Journal J Caring Sci  
  Volume 1 Issue 3 Pages 135-143  
  Keywords Human Health  
  Abstract INTRODUCTION: Sleep is one of the basic human needs and sleep deprivation causes nu-merous adverse effects on the human body and mind. Due to reduced sleep quality in patients with acute coronary syndrome, this study was carried out to determine the effect of eye mask on sleep quality in patients with acute coronary syndrome. METHODS: In this two-group controlled clinical trial, sixty patients with acute coronary syndrome in the coronary care units of Baqiyatallah Hospital in Tehran in 2010 were selected by purposeful sampling method and randomly allocated to two groups of case and control. In the case group, in the second night stay, the intervention of eye mask was done per night and by using the Petersburg's sleep quality index; sleep quality was evaluated during and at the end of hospitalization. Then data were analyzed by paired t-test, independent t-test, Spearman and Pearson's correlation coefficient and SPSS software version 19. RESULTS: Total sleep quality score of the case group was significantly decreased after intervention (4.86 +/- 1.88) from before intervention (10.46 +/- 4.09) (p < 0.000). In addi-tion, total score of sleep quality after intervention in the case group (4.86 +/- 1.88) was significant different from the control group (8.43 +/- 1.97) (p < 0.005). CONCLUSION: Using eye mask, as an economical and uncomplicated method, can improve sleep quality in patients with acute coronary syndrome in the coronary care units and can be used as an alternative method of treatment instead of drug therapy.  
  Address PhD ,Assistant Professor, Department of Nursing, Faculty of Nursing, Baqiyatallah University of Medical Sciences, Tehran, Iran  
  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 (down) 2251-9920 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:25276688; PMCID:PMC4161075 Approved no  
  Call Number GFZ @ kyba @ Serial 2252  
Permanent link to this record
 

 
Author Gupta, N.; Lata, H.; Kaur, A. url  doi
openurl 
  Title Effect of glare on night time driving in alcoholic versus non-alcoholic professional drivers Type Journal Article
  Year 2012 Publication International Journal of Applied & Basic Medical Research Abbreviated Journal Int J Appl Basic Med Res  
  Volume 2 Issue 2 Pages 128-131  
  Keywords Vision; Public Safety; Glare; Alcohol; driving; glare recovery  
  Abstract CONTEXT: The use of alcohol during nighttime driving may affect recovery from glare leading to increased traffic accidents. OBJECTIVE: To compare the glare recovery time in alcoholic versus non-alcoholic drivers. MATERIALS AND METHODS: Alcoholic (n = 25) and non-alcoholic drivers (n = 25) were subjected to glare recovery test and they also filled a questionnaire about the nighttime driving. RESULTS: The glare recovery time got prolonged in alcoholic drivers and they also complained of more problems during nighttime driving as compared to non-alcoholic drivers. CONCLUSIONS: The use of alcohol delays recovery from glare during nighttime driving. This can have considerable implications for developing countries in improving regulations for driving licensing.  
  Address Department of Physiology, Dayanand Medical College and Hospital Ludhiana, Punjab, India  
  Corporate Author Thesis  
  Publisher Kluwer Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (down) 2229-516X ISBN Medium  
  Area Expedition Conference  
  Notes PMID:23776826; PMCID:PMC3678693 Approved no  
  Call Number IDA @ john @ Serial 2834  
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Author Zhang, P.; Pan, J.; Xie, L.; Zhou, T.; Bai, H.; Zhu, Y. url  doi
openurl 
  Title Spatial–Temporal Evolution and Regional Differentiation Features of Urbanization in China from 2003 to 2013 Type Journal Article
  Year 2019 Publication ISPRS International Journal of Geo-Information Abbreviated Journal Ijgi  
  Volume 8 Issue 1 Pages 31  
  Keywords Remote Sensing  
  Abstract Quantifying the temporal and spatial patterns of impervious surfaces (IS) is important for assessing the environmental and ecological impacts of urbanization. In order to better extract IS, and to explore the divergence in urbanization in different regions, research on the regional differentiation features and regional change difference features of IS are required. To extract China’s 2013 urban impervious area, we used the 2013 night light (NTL) data and the Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index and enhanced vegetation index (EVI) temporal series data, and used three urban impervious surface extraction indexes—Human Settlements Index, Vegetation-Adjusted NTL Urban Index, and the EVI-adjusted NTL index (EANTLI)—which are recognized as the best and most widely used indexes for extracting urban impervious areas. We used the classification results of the Landsat-8 images as the benchmark data to visually compare and verify the results of the urban impervious area extracted by the three indexes. We determined that the EANTLI index better reflects the distribution of the impervious area. Therefore, we used the EANTLI index to extract the urban impervious area from 2003 to 2013 in the study area, and researched the spatial and temporal differentiation in urban IS. The results showed that China’s urban IS area was 70,179.06 km2, accounting for 0.73% of the country’s land area in 2013, compared with 20,565.24 km2 in 2003, which accounted for 0.21% of the land area, representing an increase of 0.52%. On a spatial scale, like economic development, the distribution of urban impervious surfaces was different in different regions. The overall performance of the urban IS percentage was characterized by a decreasing trend from Northwest China, Southwest China, the Middle Reaches of the Yellow River, Northeast China, the Middle Reaches of the Yangtze River, Southern Coastal China, and Northern Coastal China to Eastern Coastal China. On the provincial scale, the urban IS expansion showed considerable differences in different regions. The overall performance of the Urban IS Expansion index showed that the eastern coastal areas had higher values than the western inland areas. The cities or provinces of Beijing, Tianjin, Jiangsu, and Shanghai had the largest growth in impervious areas. Spatially and temporally quantifying the change in urban impervious areas can help to better understand the intensity of urbanization in a region. Therefore, quantifying the change in urban impervious area has an important role in the study of regional environmental and economic development, policy formulation, and the rational use of resources in both time and space.  
  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 (down) 2220-9964 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2172  
Permanent link to this record
 

 
Author Wang,; Sutton,; Qi, url  doi
openurl 
  Title Global Mapping of GDP at 1 km2 Using VIIRS Nighttime Satellite Imagery Type Journal Article
  Year 2019 Publication ISPRS International Journal of Geo-Information Abbreviated Journal Ijgi  
  Volume 8 Issue 12 Pages 580  
  Keywords Remote Sensing  
  Abstract Frequent and rapid spatially explicit assessment of socioeconomic development is critical for achieving the Sustainable Development Goals (SDGs) at both national and global levels. Over the past decades, scientists have proposed many methods for estimating human activity on the Earth’s surface at various spatiotemporal scales using Defense Meteorological Satellite Program Operational Line System (DMSP-OLS) nighttime light (NTL) data. However, the DMSP-OLS NTL data and the associated processing methods have limited their reliability and applicability for systematic measuring and mapping of socioeconomic development. This study utilized Visible Infrared Imaging Radiometer Suite (VIIRS) NTL and the Isolation Forest machine learning algorithm for more intelligent data processing to capture human activities. We used machine learning and NTL data to map gross domestic product (GDP) at 1 km2. We then used these data products to derive inequality indexes (e.g., Gini coefficients) at nationally aggregate levels. This flexible approach processes the data in an unsupervised manner at various spatial scales. Our assessments show that this method produces accurate subnational GDP data products for mapping and monitoring human development uniformly across the globe.  
  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 (down) 2220-9964 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2787  
Permanent link to this record
 

 
Author Lin, J.; Shi, W. url  doi
openurl 
  Title Statistical Correlation between Monthly Electric Power Consumption and VIIRS Nighttime Light Type Journal Article
  Year 2020 Publication ISPRS International Journal of Geo-Information Abbreviated Journal Ijgi  
  Volume 9 Issue 1 Pages 32  
  Keywords Remote Sensing  
  Abstract The nighttime light (NTL) imagery acquired from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) enables feasibility of investigating socioeconomic activities at monthly scale, compared with annual study using nighttime light data acquired from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS). This paper is the first attempt to discuss the quantitative correlation between monthly composite VIIRS DNB NTL data and monthly statistical data of electric power consumption (EPC), using 14 provinces of southern China as study area. Two types of regressions (linear regression and polynomial regression) and nine kinds of NTL with different treatments are employed and compared in experiments. The study demonstrates that: (1) polynomial regressions acquire higher reliability, whose average R square is 0.8816, compared with linear regressions, whose average R square is 0.8727; (2) regressions between denoised NTL with threshold of 0.3 nW/(cm2·sr) and EPC steadily exhibit the strongest reliability among the nine kinds of processed NTL data. In addition, the polynomial regressions for 12 months between denoised NTL with threshold of 0.3 nW/(cm2·sr) and EPC are constructed, whose average values of R square and mean absolute relative error are 0.8906 and 16.02%, respectively. These established optimal regression equations can be used to accurately estimate monthly EPC of each province, produce thematic maps of EPC, and analyze their spatial distribution characteristics.  
  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 (down) 2220-9964 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2820  
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