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Author Muller, A.; Gal, N.; Betlehem, J.; Fuller, N.; Acs, P.; Kovacs, G.; Fusz, K.; Jozsa, R.; Olah, A.
Title Examination of the interaction of different lighting conditions and chronic mild stress in animal model Type Journal Article
Year 2015 Publication (up) Acta Physiologica Hungarica Abbreviated Journal Acta Physiologica Hungarica
Volume 102 Issue 3 Pages 301-310
Keywords animals; health
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ISSN 0231-424X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1275
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Author Beck, W.; Gobatto, C.
Title Effect of high wavelengths low intensity light during dark period on physical exercise performance, biochemical and haematological parameters of swimming rats Type Journal Article
Year 2016 Publication (up) Acta Physiologica Hungarica Abbreviated Journal Acta Physiol Hung
Volume 103 Issue 1 Pages 112-120
Keywords Animals
Abstract Nocturnal rodents should be assessed at an appropriate time of day, which leads to a challenge in identifying an adequate environmental light which allows animal visualisation without perturbing physiological homeostasis. Thus, we analysed the influence of high wavelength and low intensity light during dark period on physical exercise and biochemical and haematological parameters of nocturnal rats. We submitted 80 animals to an exhaustive exercise at individualised intensity under two different illuminations during dark period. Red light (> 600 nm; < 15lux) was applied constantly during dark period (EI; for experimental illumination groups) or only for handling and assessments (SI; for standard illumination groups). EI led to worse haematological and biochemical conditions, demonstrating that EI alone can influence physiological parameters and jeopardise result interpretation. SI promotes normal physiological conditions and greater aerobic tolerance than EI, showing the importance of a correct illumination pattern for all researchers that employ nocturnal rats for health/disease or sports performance experiments.
Address Laboratory of Applied Sport Physiology, School of Physical Education, University of Campinas , Sao Paulo , Brasil
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Language English Summary Language Original Title
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ISSN 0231-424X ISBN Medium
Area Expedition Conference
Notes PMID:27030633 Approved no
Call Number LoNNe @ kyba @ Serial 1410
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Author Szentkiràlyi, F.
Title Szentkiràlyi, F. (2002). Fifty-year-long insect survey in hungary: T. jermy’s contributions to light-trapping. Type Journal Article
Year 2002 Publication (up) Acta Zoologica Academiae Scientiarum Hungaricae Abbreviated Journal
Volume 48 Issue Pages 85–105
Keywords Animals
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Notes Approved no
Call Number LoNNe @ kagoburian @ Serial 620
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Author Strobl, E.
Title The Impact of Typhoons on Economic Activity in the Philippines: Evidence from Nightlight Intensity Type Journal Article
Year 2019 Publication (up) ADB Economics Working Paper Series Abbreviated Journal
Volume 589 Issue Pages
Keywords Remote Sensing
Abstract We quantify the economic impact of typhoons in the Philippines. To this end we construct a panel data set of local economic activity derived from nightlight intensity satellite images and a cell level measure of typhoon damage constructed from storm track data, a wind field model, and a stylized damage function. Our econometric results reveal that there is a statistically and potentially economically significant, albeit short- lived, impact of typhoon destruction on local economic activity. Constructing risk profiles from a 60-year historical set of storms suggests that (near) future losses in economic activity for frequent (5-year return period) and rare (50-year return period) events are likely

to range from between 1.0% and 2.5%.
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Notes Approved no
Call Number IDA @ intern @ Serial 2641
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Author Hofer, M.; Sako, T.; Martinez Jr., A.; Addawe, A.; Bulan, J.; Durante, R. L.; Martillan, M.
Title Applying Artificial Intelligence On Satellite Imagery To Compile Granular Poverty Statistics Type Journal Article
Year 2020 Publication (up) ADB Economics Working Paper Series Abbreviated Journal
Volume Issue 629 Pages
Keywords Remote Sensing
Abstract The spatial granularity of poverty statistics can have a significant impact on the efficiency of targeting resources meant to improve the living conditions of the poor. However, achieving granularity typically requires increasing the sample sizes of surveys on household income and expenditure or living standards, an option that is not always practical for government agencies that conduct these surveys. Previous studies that examined the use of innovative (geospatial) data sources such as those from high- resolution satellite imagery suggest that such method may be an alternative approach of producing granular poverty maps. This study outlines a computational framework to enhance the spatial granularity of government-published poverty estimates using a deep layer computer vision technique applied on publicly available medium-resolution satellite imagery, household surveys, and census data from the Philippines and Thailand. By doing so, the study explores a potentially more cost-effective alternative method for poverty estimation method. The results suggest that even using publicly accessible satellite imagery, in which the resolutions are not as fine as those in commercially sourced images, predictions generally aligned with the distributional structure of government-published poverty estimates, after calibration. The study further contributes to the existing literature by examining robustness of the resulting estimates to user-specified algorithmic parameters and model specifications.
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Notes Approved no
Call Number UP @ altintas1 @ Serial 3317
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