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Journal articles on the topic 'Night time'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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1

Carey, Lukas. "Night Time." Journal of Prisoners on Prisons 29, no. 1-2 (December 3, 2020): 7–10. http://dx.doi.org/10.18192/jpp.v29i1-2.4936.

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2

Hari, S. S., and B. V. Krishna Murthy. "Equatorial night-time." Annales Geophysicae 13, no. 8 (1995): 871. http://dx.doi.org/10.1007/s005850050226.

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3

Ziolkowski, Margaret, Ludmilla Petrushevskaya, and Sally Laird. "The Time: Night." World Literature Today 69, no. 2 (1995): 394. http://dx.doi.org/10.2307/40151280.

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4

Rutkin, Aviva. "Night-time ninjas." New Scientist 229, no. 3055 (January 2016): 22–23. http://dx.doi.org/10.1016/s0262-4079(16)30076-8.

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5

Snyder, David M., Beth L. Goodlin-Jones, Mary Jane Pionk, and Martin T. Stein. "Inconsolable Night-Time Awakening: Beyond Night Terrors." Journal of Developmental & Behavioral Pediatrics 31 (April 2010): S7—S10. http://dx.doi.org/10.1097/dbp.0b013e3181d8300b.

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6

Snyder, David M., Beth L. Goodlin-Jones, Mary Jane Pionk, and Martin T. Stein. "Inconsolable Night-Time Awakening: Beyond Night Terrors." Journal of Developmental & Behavioral Pediatrics 29, no. 4 (August 2008): 311–12. http://dx.doi.org/10.1097/dbp.0b013e3181829f4c.

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7

Moz Jones, G. "Night time the right time?" Veterinary Record 165, no. 9 (August 29, 2009): 272. http://dx.doi.org/10.1136/vr.165.9.272-a.

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8

Wang, Changcheng, Yuhong Yuan, Ying Chen, and Richard Hunt. "Night-Time pH Holding Time." American Journal of Gastroenterology 103 (September 2008): S51. http://dx.doi.org/10.14309/00000434-200809001-00130.

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9

Mignon, Patrick. "« Night time is the right time »." Sociétés & Représentations 4, no. 1 (1997): 295. http://dx.doi.org/10.3917/sr.004.0295.

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10

Elvidge, Christopher D., Kimberly Baugh, Mikhail Zhizhin, Feng Chi Hsu, and Tilottama Ghosh. "VIIRS night-time lights." International Journal of Remote Sensing 38, no. 21 (June 26, 2017): 5860–79. http://dx.doi.org/10.1080/01431161.2017.1342050.

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11

Stolarz, Katarzyna, Jan A. Staessen, and Eoin T. O'Brien. "Night-time blood pressure." Journal of Hypertension 20, no. 11 (November 2002): 2131–33. http://dx.doi.org/10.1097/00004872-200211000-00006.

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12

Rosenberg, C. "0576 Variation in Night to Night Home Sleep Testing." Sleep 43, Supplement_1 (April 2020): A221. http://dx.doi.org/10.1093/sleep/zsaa056.573.

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Abstract Introduction Home sleep testing (HST) is becoming common in the evaluation of Obstructive Sleep Apnea (OSA). Studies confirmed good HST AHI correlations from different nights in a single patient. The following reviewed AHI and additional measures from HST’s. (Alice Night One)) Methods We collected data from 20 patients from two consecutive nights of HST’s. 5 F 15 M, means AGE 49 (sd 14) and BMI 36 (sd 8). Both studies had over 4 hours of good sleep and acceptable data. Measures include abs(Night 1- Night 2) of AHI (Diff.AHI), of mean EKG (Diff.EKG) mean time SaO2 less than 90% (Diff.SaO2). Results These results reproduced the strong correlation of AHI, Time SaO2 less than 90 %: and mean EKG between two nights, .96, .72, .87 respectively. There was a strong correlation between Diff.AHI and Diff.SaO2, .63 (p .003). There were weaker correlations between AHI and Time SaO2 less than 90% on Night 1, .67 and Night 2, .75. Linear regression: Diff.AHI on Age (p=.2), BMI (p = .9), and Diff.EKG (p=.4). Conclusion These results again validate the small degree of AHI variation in night to night HST. They confirm a small degree of variation in the mean EKG and Time SaO2 less than 90%. There is a high correlation between AHI and time SaO2 less than 90% as these variables are dependent and the fall in SaO2 is used to define an event, especially on the HST. The BMI did not explain variation in AHI, there is a low correlation between AHI and BMI. Age could be a factor in AHI variation; yet, this is highly speculative with an N = 20. The correlations between AHI and Time SaO2 less than 90% are likely to be due to the relative health of the subjects and small number of subjects. One night of good, greater than 4 hours HST may be sufficient. This study did not evaluate success in meeting these parameters with a single night of testing. Support Louis B Stokes VHA, Cleveland, OH
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13

McNeil, Raymond, Oscar Díaz Díaz, Ildefonso Liñero A., and José R. Rodríguez S. "Day- and night-time prey availability for waterbirds in a tropical lagoon." Canadian Journal of Zoology 73, no. 5 (May 1, 1995): 869–78. http://dx.doi.org/10.1139/z95-102.

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One of the main hypotheses formulated to explain why marsh birds, wildfowl, and shorebirds forage at night postulates that the birds prefer to feed at night because the feeding opportunities are most profitable then. To investigate this hypothesis, we compare day- and night-time availability and describe the diel abundance rhythm of swimming and benthic organisms inhabiting the shallow waters of a tropical lagoon complex in northeastern Venezuela. Three sampling techniques were used by day and by night: net sampling for swimming organisms, core sampling for those in the sediments (10 cm deep), and sight counts for organisms on the surface of substrata. Overall, in the case of swimming organisms, fishes, isopods, amphipods, shrimps (Penaeus spp.), and corixids were 3–30 times more abundant at night than during daytime. In general, infaunal organisms were about equally abundant during the day and the night, or slightly more abundant during the day. At the surface, isopods, amphipods, and polychaetes were greater than 10 times more abundant at night than during the day. However, gastropods were slightly more numerous during daytime on the substrata, while pelecypods were about equally numerous during day- and night-time. Fiddler crabs (Uca sp.) were generally more available during daytime. Considering all organisms together, the prey for marsh birds, wildfowl, and shorebirds were significantly more abundant at night. In conclusion, tactile-foraging species (e.g., spoonbills, skimmers, ibises, dabbling ducks, and several species of shorebirds) should profit by foraging only at night and resting during the day, and foraging during daylight only to top up a nighttime deficit. On the other hand, despite limited nighttime visual capacity, some sight-feeding species (e.g., herons, plovers) may take advantage of increased prey availability at night, at least on moonlit nights.
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14

Page, Mathew, Calum Meiklejohn, and Jerry Warr. "CCTV and night-time observations." Mental Health Practice 7, no. 10 (July 2004): 12–15. http://dx.doi.org/10.7748/mhp2004.07.7.10.12.c1814.

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15

Raff, Jonathan. "Night-time sinks, daytime sources." Nature Geoscience 8, no. 1 (December 1, 2014): 5–7. http://dx.doi.org/10.1038/ngeo2315.

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16

Sospedra, F., V. Caselles, E. Valor, C. Di Bella, C. Coll, and E. Rubio. "Night-time cloud cover estimation." International Journal of Remote Sensing 25, no. 11 (June 2004): 2193–205. http://dx.doi.org/10.1080/01431160310001618752.

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17

Amati, Marco. "Planning the night-time city." Australian Planner 47, no. 2 (June 2010): 106–7. http://dx.doi.org/10.1080/07293681003767819.

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18

Bloomfield, Dennis. "Night time blood pressure dip." World Journal of Cardiology 7, no. 7 (2015): 373. http://dx.doi.org/10.4330/wjc.v7.i7.373.

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19

KING, N. J., B. J. TONGE, and T. H. OLLENDICK. "Night-time fears in children." Journal of Paediatrics and Child Health 28, no. 5 (October 1992): 347–50. http://dx.doi.org/10.1111/j.1440-1754.1992.tb02689.x.

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20

Trafford, Bernard. "Time for an early night." SecEd 2017, no. 11 (March 30, 2017): 12. http://dx.doi.org/10.12968/sece.2017.11.12a.

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21

Daniels, Stephen R. "Exercise and night time hypoglycemia." Journal of Pediatrics 147, no. 4 (October 2005): A1. http://dx.doi.org/10.1016/j.jpeds.2005.09.010.

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22

Fricke, Wieland. "Night-Time Transpiration – Favouring Growth?" Trends in Plant Science 24, no. 4 (April 2019): 311–17. http://dx.doi.org/10.1016/j.tplants.2019.01.007.

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23

Cuspidi, Cesare, Rita Facchetti, Michele Bombelli, Carla Sala, Marijana Tadic, Guido Grassi, and Giuseppe Mancia. "Night-time heart rate nondipping." Journal of Hypertension 36, no. 6 (June 2018): 1311–17. http://dx.doi.org/10.1097/hjh.0000000000001703.

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24

Minarik, Pamela. "NIGHT SHIFT AS NAP TIME." AJN, American Journal of Nursing 108, no. 7 (July 2008): 13. http://dx.doi.org/10.1097/01.naj.0000325793.84111.0e.

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25

Anueyiagu, Chika Onyekaonwu. "NIGHT SHIFT AS NAP TIME." AJN, American Journal of Nursing 108, no. 7 (July 2008): 13–14. http://dx.doi.org/10.1097/01.naj.0000325794.91734.a9.

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26

Seginer, Ido, Dvora Kantz, Nahum Levav, and Uri M. Peiper. "Night-time transpiration in greenhouses." Scientia Horticulturae 41, no. 3 (January 1990): 265–76. http://dx.doi.org/10.1016/0304-4238(90)90009-4.

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27

Cohen, Yuval, David Zadok, Yaniv Barkana, Zipora Shochat, Isaac Ashkenazi, Isaac Avni, and Yair Morad. "Relationship between night myopia and night-time motor vehicle accidents." Acta Ophthalmologica Scandinavica 85, no. 4 (March 5, 2007): 367–70. http://dx.doi.org/10.1111/j.1600-0420.2006.00875.x.

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28

Shaw, Robert. "Beyond night-time economy: Affective atmospheres of the urban night." Geoforum 51 (January 2014): 87–95. http://dx.doi.org/10.1016/j.geoforum.2013.10.005.

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29

Biechele, Claus Werner, Martin Glos, Ingo Fietze, Jürgen Kurths, and Thomas Penzel. "The Effect of Night Duty of Pharmacists on Sleepiness and Concentration at Daytime." International Journal of Environmental Research and Public Health 18, no. 17 (August 31, 2021): 9211. http://dx.doi.org/10.3390/ijerph18179211.

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Background: The changing responsibilities of pharmacists contribute to a lack of qualified pharmacists to fill vacant positions, particularly in rural areas. Consequently, pharmacy managers cover various duties, including an increasing number of nights being on duty that can impair daytime concentration and performance. The objective of the study was to assess the effect of night duties on daytime sleepiness, sleep quality, and concentration abilities of pharmacists. Methods: 22 pharmacists, both sexes, aged 27 to 60 years, were recruited and their sleep time, sleep efficiency, and mobility (actigraphy) were assessed during a night on duty and a control night using an actimetry. Daytime sleepiness and concentration were assessed using standardized questionnaires (ESS, KSS, d2-R). Results: Significant differences were observed between the night shift and control nights with respect to sleep time, sleep efficiency, and mobility. Daytime sleepiness was significantly increased after night shifts (ESS: 11.64 vs. 2.09; KSS: 6.77 vs. 2.41 after a night shift and control night, respectively; p < 0.001) and concentration diminished compared to control nights (d2-R KL: 220.95 vs. 260.36 after a night shift and control night, respectively; p < 0.001). Conclusions: The results provide evidence that night duties lead to high daytime sleepiness in pharmacists, which in turn may negatively affect their ability to concentrate and their error rate. Existing regulations on emergency pharmacy services should be reconsidered regarding the safety of the pharmaceutical supply.
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30

Mullins, Anna, Ankit Parekh, Korey Kam, Reagan Schoenholz, Daphne Valencia, Zachary Roberts, Bresne Castillo, et al. "703 From in-lab to at-home: Measuring sleep and memory in the time of SARS-COVID-19." Sleep 44, Supplement_2 (May 1, 2021): A274—A275. http://dx.doi.org/10.1093/sleep/zsab072.701.

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Abstract Introduction The SARS-COVID-19 pandemic restricted in-lab research activities especially in older individuals who are considered at-risk for severe disease. To continue longitudinal sleep research in this population we sought to test the feasibility of remotely conducting at-home sleep and memory research and to compare two ambulatory polysomnography (PSG) devices for ongoing home sleep testing. Methods 20 older (age=65.6±5.5 years) cognitively normal adults (65% female) who had previously undergone 2 nights in-lab sleep, memory and vigilance testing were delivered equipment for 2 nights at-home, technician-guided remote PSG set-up (1 night each for Somté [EEG: Fp1-M2, Cz-M1] and Sleep Profiler (SP) [EEG: Fp1-Fp2] devices- randomized presentation), and 6 timed trials on a 3D spatial maze navigation memory plus morning psychomotor vigilance testing (PVT). The night-to-night differences for devices and in-lab versus at-home testing environments were compared for sleep macro and EEG microarchitecture using paired Wilcoxon rank sum and t-tests where appropriate. First-night maze completion time (CT) and PVT reaction time and lapses were also compared. Results 19 people completed 2 nights at-home PSG, 18 completed PVT and 9 completed all 6 maze trials. Quality frontal EEG signals were obtained for 16 SP and 11 Somté recordings. There was no significant night to night differences (night 1–night 2) between in-lab and at-home environments for total sleep time (mean difference: in-lab= -0.27 vs at-home = 0.35 hours), wake after sleep onset (WASO) (median difference: in-lab= 3.0 vs at-home = 0.7 %WASO), or slow wave sleep (SWS) (mean difference: in-lab= -0.70 vs at-home = 2.3 %SWS). Relative frontal slow wave activity and spindle density were not significantly different between devices or environments. K-complex density (SP= 1.0 vs Somté =2.7/minNREM2, p=0.004) was significantly reduced with the SP device compared to Somté devices. There were no significant differences for maze CT and PVT measures between in-lab and at-home environments. Conclusion The night-to-night differences in sleep macroarchitecture do not appear to be influenced by environment or device however measures of EEG microstructure such as K-complexes, which are amplitude-dependent, may be underestimated with the Sleep Profiler device due to smaller EEG amplitude from a derivation with short inter-electrode distances. Support (if any) NIH (R01AG056031, R01AG056531, K24)
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31

Sommariva, R., M. J. Pilling, W. J. Bloss, D. E. Heard, J. D. Lee, Z. L. Fleming, P. S. Monks, et al. "Night-time radical chemistry during the NAMBLEX campaign." Atmospheric Chemistry and Physics Discussions 6, no. 4 (August 9, 2006): 7715–45. http://dx.doi.org/10.5194/acpd-6-7715-2006.

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Abstract. Night-time chemistry in the Marine Boundary Layer has been modelled using a number of observationally constrained zero-dimensional box-models. The models were based upon the Master Chemical Mechanism (MCM) and the measurements were taken during the North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign at Mace Head, Ireland in July–September 2002. The model could reproduce, within the combined uncertainties, the measured concentration of HO2 (within 30–40%) during the night 31 August–1 September and of HO2+RO2 (within 15–30%) during several nights of the campaign. The model always overestimated the NO3 measurements made by Differential Optical Absorption Spectroscopy (DOAS) by up to an order of magnitude or more, but agreed with the NO3 Cavity Ring-Down Spectroscopy (CRDS) measurements to within 30–50%. The most likely explanation of the discrepancy between the two instruments and the model is reaction of the nitrate radical with inhomogeneously distributed NO, which was measured at concentrations of up to 10 ppt, even though this is not enough to fully explain the difference between the DOAS measurements and the model. A rate of production and destruction analysis showed that radicals were generated during the night mainly by the reaction of ozone with light alkenes. The cycling between HO2/RO2 and OH was maintained during the night by the low concentrations of NO and the overall radical concentration was limited by slow loss of peroxy radicals to form peroxides. A strong peak in [NO2] during the night 31 August–1 September allowed an insight into the radical fluxes and the connections between the HOx and the NO3 cycles.
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32

Sommariva, R., M. J. Pilling, W. J. Bloss, D. E. Heard, J. D. Lee, Z. L. Fleming, P. S. Monks, et al. "Night-time radical chemistry during the NAMBLEX campaign." Atmospheric Chemistry and Physics 7, no. 3 (February 7, 2007): 587–98. http://dx.doi.org/10.5194/acp-7-587-2007.

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Abstract. Night-time chemistry in the Marine Boundary Layer has been modelled using a number of observationally constrained zero-dimensional box-models. The models were based upon the Master Chemical Mechanism (MCM) and the measurements were taken during the North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign at Mace Head, Ireland in July–September 2002. The model could reproduce, within the combined uncertainties, the measured concentration of HO2 (within 30–40%) during the night 31 August–1 September and of HO2+RO2 (within 15–30%) during several nights of the campaign. The model always overestimated the NO3 measurements made by Differential Optical Absorption Spectroscopy (DOAS) by up to an order of magnitude or more, but agreed with the NO3 Cavity Ring-Down Spectroscopy (CRDS) measurements to within 30–50%. The most likely explanation of the discrepancy between the two instruments and the model is the reaction of the nitrate radical with inhomogeneously distributed NO, which was measured at concentrations of up to 10 ppt, even though this is not enough to fully explain the difference between the DOAS measurements and the model. A rate of production and destruction analysis showed that radicals were generated during the night mainly by the reaction of ozone with light alkenes. The cycling between HO2/RO2 and OH was maintained during the night by the low concentrations of NO and the overall radical concentration was limited by slow loss of peroxy radicals to form peroxides. A strong peak in [NO2] during the night 31 August–1 September allowed an insight into the radical fluxes and the connections between the HOx and the NO3 cycles.
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33

Levinson-LaBrosse, Alana Marie. "Night Time Is A Dark Time, by Sara." Iowa Review 46, no. 1 (March 2016): 76–77. http://dx.doi.org/10.17077/0021-065x.7694.

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34

&NA;. "Night-time the best time for dalteparin sodium?" Inpharma Weekly &NA;, no. 1003 (September 1995): 19. http://dx.doi.org/10.2165/00128413-199510030-00045.

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35

Mereu, S., A. Finco, G. Gerosa, L. Fusaro, B. Muys, and F. Manes. "Night-time ozone uptake by Mediterranean species." Biogeosciences Discussions 6, no. 1 (February 17, 2009): 2007–38. http://dx.doi.org/10.5194/bgd-6-2007-2009.

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Abstract. Due to the evident tropospheric ozone impact on plant productivity, an accurate ozone risk assessment for the vegetation has become an issue. There is a growing evidence that ozone stomatal uptake may also take place at night and that the night-time uptake may be more damaging than diurnal uptake. Estimation of night-time uptake in the field is complicated because of instrumental difficulties. Eddy covariance technology is not always reliable because of the low turbulence at night. Leaf level porometry is defective at relative humidity above 70% which often takes place at night. Improved sap flow technology allows to estimate also slow flows that usually take place at night and hence may be, at present, the most trustworthy technology to measure night-time transpiration and hence to derive canopy stomatal conductance and ozone uptake at night. Based on micrometeorological data and the sap flow of three Mediterranean woody species, the night-time ozone uptake of these species was evaluated during a summer season as drought increased. Night-time ozone uptake was 10% of the total when plants were exposed to a weak drought, but increased up to 24% as the drought became more pronounced. The percentage increase is due to a stronger reduction of diurnal stomatal conductance than night-time stomatal conductance.
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36

Galway, Niamh Catherine, Barbara Maxwell, Michael Shields, and Dara O'Donoghue. "Use of oximetry to screen for paediatric obstructive sleep apnoea: is one night enough and is 6 hours too much?" Archives of Disease in Childhood 106, no. 1 (August 11, 2020): 58–61. http://dx.doi.org/10.1136/archdischild-2019-318559.

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IntroductionNocturnal pulse oximetry can be used to screen for obstructive sleep apnoea (OSA) using the McGill Oximetry Score (MOS). The MOS has a time threshold for a technically adequate study of 6 hours. It has been suggested that one night of oximetry is sufficient to screen for OSA using the MOS.Aims(1) To evaluate night-to-night variation of the MOS. (2) To determine the impact of recording three nights of oximetry on the screening yield for OSA. (3) To explore whether useful MOS data are discarded when a threshold of 6 hours of oximetry recording is used.MethodsA retrospective study of nocturnal pulse oximetry done at home over three consecutive nights in paediatric patients with suspected OSA. Studies were scored (MOS) using thresholds of ≥6 and ≥4 hours of recording.ResultsA total of 329 patients were studied. MOS scores over three nights showed only fair to moderate agreement. On the first night 126 patients (38%) screened positive for OSA. When three nights of oximetry were done 195 patients (59%) screened positive on at least one of the nights. There were 48 patients with studies of between 4 and 6 hours duration on one or more nights. If these studies are scored 20 patients (42%) would screen positive for OSA on at least one night based on scoring these studies alone.ConclusionOne night of oximetry screening may not be sufficient to screen for OSA. Lowering the time threshold to ≥4 hours may increase the screening capability of nocturnal oximetry.
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37

Lusuriello, Sabrina. "Plus sombre la nuit, plus claire la journée: « la beauté des nuits du monde » de Marguerite Duras." Cahiers ERTA, no. 27 (2021): 34–56. http://dx.doi.org/10.4467/23538953ce.21.032.14385.

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The darker the night, the brighter the day: “the beauty of the world’s nights” by Marguerite Duras Night-time, the favorite time of awakening for Marguerite Duras, has an ambivalent status. In a colorful game, the sleepless night changes from white to black, from bright to dark. Rather than a standstill or loss of time, the night without sleep offers a spectacular acceleration and intensification. Since the night acts as a catalyst, insomnia confronts the characters to their inescapable fate. Staying awake becomes an act of resistance, for both, characters and author. Therefore, insomnia emphasizes emptiness and inaction, and transforms loss into creation and fulfillment. Which means that insomnia is more than a physical phenomenon: it acquires a metaphysical dimension in Marguerite Duras’s work.
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38

Hamermesh, Daniel S. "Not Enough Time?" American Economist 59, no. 2 (November 2014): 119–27. http://dx.doi.org/10.1177/056943451405900202.

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This study summarizes evidence on various unique aspects of work time in the American labor market. Compared to workers in other rich countries, Americans: Work longer hours per week; take fewer paid vacations; are more likely to work on weekends or at nights; enjoy fewer daily hours of leisure; are more likely to feel pressured for time. Except for night/weekend work, these phenomena are concentrated among higher earners. Their workaholism spills over onto other workers and non-worker family members. The study indicates policy remedies for what appears to be an inferior labor-market equilibrium of excessive market work in the U.S.
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Assaf, G. "NIGHT TIME TRANSPIRATION IN COMMERCIAL GREENHOUSES." Acta Horticulturae, no. 287 (May 1991): 495–505. http://dx.doi.org/10.17660/actahortic.1991.287.60.

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40

Davis, Nick. "Double time for the night shift." Nursing Standard 14, no. 25 (March 8, 2000): 28. http://dx.doi.org/10.7748/ns.14.25.28.s42.

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41

Lovatt, Andy, and Justin O'Connor. "Cities and the Night-time Economy." Planning Practice & Research 10, no. 2 (May 1995): 127–34. http://dx.doi.org/10.1080/02697459550036676.

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42

Gordon, Jocelynne, and Neville King. "Children's night-time fears: an overview." Counselling Psychology Quarterly 15, no. 2 (June 2002): 121–32. http://dx.doi.org/10.1080/09515070110104097.

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43

Wood, J. M., D. A. Owens, M. I. Woolf, and J. Owens. "Predicting night-time visibility while driving." Journal of Vision 2, no. 7 (March 14, 2010): 331. http://dx.doi.org/10.1167/2.7.331.

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44

Orr, William C. "Night-time gastro-oesophageal reflux disease." European Journal of Gastroenterology & Hepatology 17, no. 1 (January 2005): 113–20. http://dx.doi.org/10.1097/00042737-200501000-00021.

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45

Li, Xi, Christopher Elvidge, Yuyu Zhou, Changyong Cao, and Timothy Warner. "Remote sensing of night-time light." International Journal of Remote Sensing 38, no. 21 (July 24, 2017): 5855–59. http://dx.doi.org/10.1080/01431161.2017.1351784.

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46

Cuspidi, C., R. Facchetti, M. Bombelli, C. Sala, M. Tadic, G. Grassi, and G. Mancia. "NIGHT-TIME HEART RATE NON DIPPING." Journal of Hypertension 36, Supplement 1 (June 2018): e109. http://dx.doi.org/10.1097/01.hjh.0000539285.58605.ad.

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47

Schillaci, Giuseppe, Giuseppe Fiorenzano, and Giacomo Pucci. "Sleep apnea and night-time hypertension." Journal of Hypertension 33, no. 8 (August 2015): 1524–27. http://dx.doi.org/10.1097/hjh.0000000000000676.

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48

Muiesan, Maria Lorenza, and Anna Paini. "Nocturia and night-time blood pressure." Journal of Hypertension 36, no. 11 (November 2018): 2135–37. http://dx.doi.org/10.1097/hjh.0000000000001864.

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49

Geiger, Susi. "Exploring night-time grocery shopping behaviour." Journal of Retailing and Consumer Services 14, no. 1 (January 2007): 24–34. http://dx.doi.org/10.1016/j.jretconser.2006.03.001.

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50

Salgado, M. Sagrario, M. Paz Gallego-Iniesta, M. Pilar Martín, Araceli Tapia, and Beatriz Cabañas. "Night-time atmospheric chemistry of methacrylates." Environmental Science and Pollution Research 18, no. 6 (February 1, 2011): 940–48. http://dx.doi.org/10.1007/s11356-011-0448-x.

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