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Author Hong, Y.; Lee, S.; Choi, J.; Jin, Y.; Won, J.; Hong, Y.
Title Conditional Controlled Light/Dark Cycle Influences Exercise-Induced Benefits in a Rat Model with Osteoarthritis: In Vitro and In Vivo Study Type Journal Article
Year 2019 Publication Journal of Clinical Medicine Abbreviated Journal J Clin Med
Volume 8 Issue 11 Pages 1855
Keywords Animals; environmental lighting; inflammation; musculoskeletal homeostasis; physical exercise
Abstract Physical exercise has long been recommended as a treatment for osteoarthritis (OA), though its effects vary based on the exercise protocol. Here, we examined whether environmental lighting conditions influence the anti-inflammatory benefits of exercise in a rat model of OA. Moderate-intensity treadmill exercise (Ex) was performed for six weeks under a 12:12 h light/dark (L/D) cycle, and compared against rats housed in a 24 h continuous light (L/L) environment. L/L conditions were associated with serological changes shortly after OA induction, which exacerbated the inflammatory microenvironment in the joint. Differentiation capacity was also impaired in bone precursor cells isolated from normal rats maintained under L/L conditions, despite elevated inflammatory responses. Exercise training under L/L conditions led to increased corticosterone levels in the blood, which exacerbated the progression of cartilaginous and synovial lesions. Osteoporotic phenomena were also observed in exercise-trained rats maintained under L/L conditions, along with inflammation-induced catabolism in the gastrocnemius muscle. Aberrant light/dark cycle conditions were also found to be associated with suppression of splenic Cry1 expression in exercise-trained rats, leading to dysregulation of immune responses. Taken together, these data suggest that lighting condition may be an important environmental factor influencing the exercise-induced benefits on OA.
Address Department of Medicine, Division of Hematology/Oncology, Harvard Medical SchoolBeth Israel, Deaconess Medical Center, Boston, MA 02215, USA. yonghong@inje.ac.kr
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN (down) 2077-0383 ISBN Medium
Area Expedition Conference
Notes PMID:31684092 Approved no
Call Number GFZ @ kyba @ Serial 2729
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Author Yao, Q.; Wang, H.; Uttley, J.; Zhuang, X.
Title Illuminance Reconstruction of Road Lighting in Urban Areas for Efficient and Healthy Lighting Performance Evaluation Type Journal Article
Year 2018 Publication Applied Sciences Abbreviated Journal Applied Sciences
Volume 8 Issue 9 Pages 1646
Keywords Instrumentation; Lighting; Planning
Abstract Big lighting data are required for evaluation of lighting performance and impacts on human beings, environment, and ecology for smart urban lighting. However, traditional approaches of measuring road lighting cannot achieve this aim. We propose a rule-of-thumb model approach based on some feature points to reconstruct road lighting in urban areas. We validated the reconstructed illuminance with both software simulated and real road lighting scenes, and the average error is between 6 and 19%. This precision is acceptable in practical applications. Using this approach, we reconstructed the illuminance of three real road lighting environments in a block and further estimated the mesopic luminance and melanopic illuminance performance. In the future, by virtue of Geographic Information System technology, the approach may provide big lighting data for evaluation and analysis, and help build smarter urban lighting.
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Series Volume Series Issue Edition
ISSN (down) 2076-3417 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2003
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Author Navas Gonzalez, F.J.; Jordana Vidal, J.; Pizarro Inostroza, G.; Arando Arbulu, A.; Delgado Bermejo, J.V.
Title Can Donkey Behavior and Cognition Be Used to Trace Back, Explain, or Forecast Moon Cycle and Weather Events? Type Journal Article
Year 2018 Publication Animals : an Open Access Journal From MDPI Abbreviated Journal Animals (Basel)
Volume 8 Issue 11 Pages
Keywords Moonlight; Animals
Abstract Donkeys have been reported to be highly sensitive to environmental changes. Their 8900-8400-year-old evolution process made them interact with diverse environmental situations that were very distant from their harsh origins. These changing situations not only affect donkeys' short-term behavior but may also determine their long-term cognitive skills from birth. Thus, animal behavior becomes a useful tool to obtain past, present or predict information from the environmental situation of a particular area. We performed an operant conditioning test on 300 donkeys to assess their response type, mood, response intensity, and learning capabilities, while we simultaneously registered 14 categorical environmental factors. We quantified the effect power of such environmental factors on donkey behavior and cognition. We used principal component analysis (CATPCA) to reduce the number of factors affecting each behavioral variable and built categorical regression (CATREG) equations to model for the effects of potential factor combinations. Effect power ranged from 7.9% for the birth season on learning (p < 0.05) to 38.8% for birth moon phase on mood (p < 0.001). CATPCA suggests the percentage of variance explained by a four-dimension-model (comprising the dimensions of response type, mood, response intensity and learning capabilities), is 75.9%. CATREG suggests environmental predictors explain 28.8% of the variability of response type, 37.0% of mood, and 37.5% of response intensity, and learning capabilities.
Address The Worldwide Donkey Breeds Project, Faculty of Veterinary Sciences, University of Cordoba, 14071 Cordoba, Spain. juanviagr218@gmail.com
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Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN (down) 2076-2615 ISBN Medium
Area Expedition Conference
Notes PMID:30463193 Approved no
Call Number GFZ @ kyba @ Serial 2083
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Author Houpt, K.A.; Erb, H.N.; Coria-Avila, G.A.
Title The Sleep of Shelter Dogs Was Not Disrupted by Overnight Light Rather than Darkness in a Crossover Trial Type Journal Article
Year 2019 Publication Animals : an Open Access Journal From MDPI Abbreviated Journal Animals (Basel)
Volume 9 Issue 10 Pages 794
Keywords Animals; dog; influence of light; night-time behavior; shelter; sleep
Abstract Dogs in shelters may be unattended at night. The purpose of this study is to describe the night-time behavior of dogs in a shelter and to determine if artificial light affected their sleeping patterns. Ten dogs were video-recorded under both light and dark conditions and their behavior recorded using focal animal sampling. The dogs were lying down 649 +/- 40 min (mean +/- SD) in the light condition and 629 +/- 58 min in the dark condition each night. They awoke, stood up, turned around and then lay down again every 48 to 50 min. There was no significant difference in time spent lying between the two conditions (p > 0.05). Light did not seem to affect their behavior. The conclusion is that dogs in shelters may sleep in the absence of people and that light does not disrupt their sleep patterns.
Address Centro de Investigaciones Cerebrales, Universidad Veracruzana, Xalapa-Enriquez 91090, Mexico. gcoria@uv.mx
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Language English Summary Language Original Title
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Series Volume Series Issue Edition
ISSN (down) 2076-2615 ISBN Medium
Area Expedition Conference
Notes PMID:31615005 Approved no
Call Number GFZ @ kyba @ Serial 2703
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Author Avtar, R.; Tripathi, S.; Aggarwal, A.K.
Title Assessment of Energy–Population–Urbanization Nexus with Changing Energy Industry Scenario in India Type Journal Article
Year 2019 Publication Land Abbreviated Journal Land
Volume 8 Issue 8 Pages 124
Keywords Remote Sensing
Abstract The demand for energy has been growing worldwide, especially in India partly due to the rapid population growth and urbanization of the country. To meet the ever-increasing energy requirement while maintaining an ecological balance is a challenging task. However, the energy industry-induced effect on population and urbanization has not been addressed before. Therefore, this study investigates the linkages between energy, population, and urbanization. The study also aims to find the quantifiable indicators for the population growth and rate of urbanization due to the expanding energy industry. The integrated framework uses a multi-temporal Landsat data to analyze the urbanization pattern, a census data for changes in population growth, night time light (NTL) data as an indicator for economic development and energy production and consumption data for energy index. Multi-attribute model is used to calculate a unified metric, termed as the energy–population–urbanization (EPU) nexus index. The proposed approach is demonstrated in the National Thermal Power Corporation (NTPC) Dadri power plant located in Uttar Pradesh, India. Landsat and NTL data clearly shows the urbanization pattern, economic development, and electrification in the study area. A comparative analysis based on various multi-attribute decision model assessment techniques suggests that the average value of EPU nexus index is 0.529, which significantly large compared to other studies and require special attention by policymakers because large EPU index indicates stronger correlation among energy, population, and urbanization. The authors believe that it would help the policymakers in planning and development of future energy projects, policies, and long-term strategies as India is expanding its energy industry.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN (down) 2073-445X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2620
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