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Journal articles on the topic 'SLEEM'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Mikmeková, Šárka, Ondřej Man, Libor Pantělejev, Miloš Hovorka, I. Müllerová, Luděk Frank, and Miloslav Kouřil. "Strain Mapping by Scanning Low Energy Electron Microscopy." Key Engineering Materials 465 (January 2011): 338–41. http://dx.doi.org/10.4028/www.scientific.net/kem.465.338.

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The use of the scanning low energy electron microscopy (SLEEM) has been slowly making its way into the field of materials science, hampered not by limitations in the technique but rather by relative scarcity of these instruments in research institutes and laboratories. This paper reports the results obtained from an investigation of the microstructure of ultra fine-grained (UFG) copper fabricated using equal channel angular pressing (ECAP) method, namely in the as-pressed state and after annealing. SLEEM is very sensitive to the perfection of crystal lattice and using SLEEM, local strain can be effectively imaged.

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2

Mikmeková, Šárka, Miloš Hovorka, Ilona Müllerová, Ond\\v{r}ej Man, Libor Pant\\v{e}lejev, and Lud\\v{e}k Frank. "Grain Contrast Imaging in UHV SLEEM." MATERIALS TRANSACTIONS 51, no. 2 (2010): 292–96. http://dx.doi.org/10.2320/matertrans.mc200919.

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3

Ikeno, Susumu, Kenji Matsuda, I. Müllerová, and Luděk Frank. "SLEEM Study of MgAl₂O₄ at Interface betweeen Al₂O₃ and Matrix in Al₂O₃/Al Alloy Composite Materials." Materials Science Forum 539-543 (March 2007): 779–84. http://dx.doi.org/10.4028/www.scientific.net/msf.539-543.779.

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In the present talk, MgAl2O4 in the Al2O3/Al-1.0mass%Mg2Si alloy composite was also observed by a scanning electron microscope equipped with the low energy electron (SLEEM) adaptation aiming at examination of its morphology and orientation relationships to the Al2O3 particles. Owing to its much smaller interaction volume of signal exciting electrons in the target and hence more localized information, together with a favorable combination of secondary (SE) and backscattered (BSE) electron signals, the SLEEM method provided much better readable and detailed images of all particles, their shapes and mutual orientations, in comparison with conventional SE and BSE images at the electron energies usually used in the SEM. MgAl2O4 (spinels) were formed on facets of Al2O3 as small particles, and their shape well corresponded to an octahedron consisting of 8 equiaxial triangles.

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4

Mikmeková, Šárka, Pavel Jánský, Vladimír Kolařík, and Ilona Müllerová. "Surface imaging with UHV SLEEM and SEM LEEM." Microscopy and Microanalysis 25, S2 (August 2019): 444–45. http://dx.doi.org/10.1017/s1431927619002952.

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5

Müllerová, Ilona, Eliška Mikmeková, Šárka Mikmeková, Ivo Konvalina, and Luděk Frank. "Practical Use of Scanning Low Energy Electron Microscope (SLEEM)." Microscopy and Microanalysis 22, S3 (July 2016): 1650–51. http://dx.doi.org/10.1017/s1431927616009090.

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6

Frank, L., and I. Mullerova. "The Scanning Low Energy Electron Microscopy (SLEEM) Mode in SEM." Microscopy and Microanalysis 12, S02 (July 31, 2006): 152–53. http://dx.doi.org/10.1017/s1431927606063562.

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7

Kasl, J., Š. Mikmeková, and D. Jandová. "SEM, TEM and SLEEM (scanning low energy electron microscopy) of CB2 steel after creep testing." IOP Conference Series: Materials Science and Engineering 55 (March 5, 2014): 012008. http://dx.doi.org/10.1088/1757-899x/55/1/012008.

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8

Dr. M. Ganesh, Dr M. Ganesh, Dr S. A. Sridevi Dr.S.A.Sridevi, and Dr T. Janagan Dr. T.Janagan. "Sleep Habits and Sleep Patterns in Healthy Adult Population in Chennai." International Journal of Scientific Research 3, no. 5 (June 1, 2012): 507–8. http://dx.doi.org/10.15373/22778179/may2014/163.

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9

Saygın, Mustafa. "Investigation of Sleep Quality and Sleep Disorders in Students of Medicine." Turkish Thoracic Journal 17, no. 4 (October 10, 2016): 132–40. http://dx.doi.org/10.5578/ttj.30513.

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10

Ergenci Basınlı, Kamile Büşra, and Özlem Gözün Kahraman. "Uyku Eğitim Programının bebeklerin uyku alışkanlıkları üzerindeki etkisi." Erken Çocukluk Çalışmaları Dergisi 4, no. 3 (October 31, 2020): 738–61. http://dx.doi.org/10.24130/eccd-jecs.1967202043228.

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11

Kölling, S., A. Ferrauti, M. Pfeiffer, T. Meyer, and M. Kellmann. "Schlaf im Sport: Eine kurze Zusammenfassung über Veränderungen im Schlafverhalten und den Einfluss von Schlafmangel und Jet-Lag." Deutsche Zeitschrift für Sportmedizin 2016, no. 02 (February 1, 2016): 35–38. http://dx.doi.org/10.5960/dzsm.2016.215.

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12

R, Divya. "Obstructive Sleep Apnoea and Tau: A Good Night’s sleep may detangle you from Alzheimer’s!!" Neuroscience and Neurological Surgery 4, no. 1 (June 12, 2019): 01–02. http://dx.doi.org/10.31579/2578-8868/046.

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13

Önder, İsmail, Ercan Masal, Eda DEMİRHAN, Mehmet Barış Horzum, and Şenol BEŞOLUK. "Psychometric properties of sleep quality scale and sleep variables questionnaire in Turkish student sample." International Journal of Psychology and Educational Studies 3, no. 3 (September 1, 2016): 9–21. http://dx.doi.org/10.17220/ijpes.2016.03.002.

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14

Maryam, Sayyeda Sakina. "Sleep Distracters in Hospitalized Clients." International Journal of Nursing & Midwifery Research 04, no. 03 (November 10, 2017): 80–82. http://dx.doi.org/10.24321/2455.9318.201737.

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15

Sardi, Hara, and Agelidou Evangelia. "Organising Pedagogical Activities for Sleep." Advances in Social Sciences Research Journal 1, no. 6 (November 1, 2014): 63–75. http://dx.doi.org/10.14738/assrj.16.543.

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16

Machado, Fernanda Modolo Vieira, Carolina dos Santos Pela, Larissa Nunes Saldanha, Prisciliane Tomazelli Mozer, and Silvia Letícia Melo Silveira Kilinsky. "O SONO DA RAZÃO PRODUZ SEUS MONSTROS." Revista Científica Faesa 15, no. 1 (August 20, 2019): 92–100. http://dx.doi.org/10.5008/1809.7367.152.

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17

Rachman, Stephen. "“White Sleep”: Hawthorne’s Thoreau, Thoreau’s Hawthorne." Studia Litterarum 2, no. 2 (2017): 64–79. http://dx.doi.org/10.22455/2500-4247-2017-2-2-64-79.

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18

Wahyuningrum, Eka, Natalia Ratna Yulianti, and Andri K. Gayatina. "Factors Affecting Sleep Problems in Preschoolers." Nurse Media Journal of Nursing 10, no. 2 (April 26, 2020): 107–18. http://dx.doi.org/10.14710/nmjn.v10i2.26649.

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Background: Sleep problems are self-care deficits of sleep experienced by more than 44% of preschoolers. Some studies have showed that physical, psychological, family, environmental, and temperamental factors could cause sleep problems among children. However, other research showed that there is no correlation between sleep problems and environmental factors. There are pro-cons regarding the causes of sleep problems. Purpose: The purpose of this study was to analyze factors affecting sleep problems among preschoolers.Methods: A cross-sectional study was conducted among 297 preschoolers selected by systematic random sampling. Data were collected using the Children’s Sleep Habits Questionnaires (CSHQ) and analyzed using bivariate (Chi-Square and Fisher tests) and multivariate (logistic regression) analyses. Results: Results of the bivariate analysis showed that some variables were related to sleep problems among preschoolers, including family income (p=0.027), the education level of the mother (p<0.001), and bed-sharing (p=0.003). Multivariate analysis found that factors related to sleep problems were bed-sharing (p=0.031; OR=2.377), gadget use in two hours before sleep (p=0.039; OR= 2.703), and the education level of the mother (p=0.007; OR=2.244).Conclusion: Factors related to sleep problems in preschoolers were bed-sharing, gadget use in two hours before sleep, the education level of the mother, and family income. This study recommends that environmental and family factors should be modified by limiting bed-sharing and reducing the use of gadgets before bedtime.

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19

Bhandarkar, Dr Ajay M., Dr Rukma Bhandary, and Dr Suraj S. Nair. "Clinical Indicators of Obstructive Sleep Apnea Syndrome." International Journal of Scientific Research 2, no. 12 (June 1, 2012): 399–400. http://dx.doi.org/10.15373/22778179/dec2013/120.

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20

Kishimoto, Masaru, Hiroshi Mori, Hiroshi Iritani, Hiroshi Ogasawara, and Takeo Kumoi. "Two Children with Sleep Apnea." Practica oto-rhino-laryngologica. Suppl. 1986, Supplement4 (1986): 143–49. http://dx.doi.org/10.5631/jibirinsuppl1986.1986.supplement4_143.

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21

Doğan Demir, Fatma, Kevser Çakın, and Hafize Öztürk Can. "MENSTRUAL FAKTÖRLERİN UYKU KALİTESİNE ETKİSİ." e-Journal of New World Sciences Academy 12, no. 1 (January 25, 2017): 30–41. http://dx.doi.org/10.12739/nwsa.2017.12.1.4b0010.

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22

Locihová, Hana, Katarína Žiaková, Dagmar Šerková, Simona Černochová, Nikola Rajtrová, and Vendula Pončíková. "The reliability of the Czech version of the Richards-Campbell Sleep Questionnaire." Kontakt 21, no. 2 (June 17, 2019): 128–34. http://dx.doi.org/10.32725/kont.2019.001.

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23

Miah, Abu Saleh Musa, Samiha Sahadat, Sonum Sabrin, Shagufta Tasnim, Anika Tabassum, and Md Mamunur Rashid. "EEG Sleep Detection Algorithms a Comparative Study." International Journal of Innovative Research in Computer Science & Technology 7, no. 3 (May 2019): 37–43. http://dx.doi.org/10.21276/ijircst.2019.7.3.3.

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24

Vincze, Janos. "The Sleep Modeling in the Human Organism." Clinical Research and Clinical Trials 3, no. 4 (May 28, 2021): 01–04. http://dx.doi.org/10.31579/2693-4779/039.

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There are three alternating states of vigilance throughout our lives: wakefulness, NREM, and REM sleep. We usually yawn before falling asleep. Yawning is an ancient reaction, an instinctive action, manifested in a person by drowsiness or boredom. Yawning is often associated with the need for stretching. Yawning is a less strong territorial reflex. During deep sleep muscular tone is sharply reduced. Relaxation of the muscles and the lowering of their tone, howeever, are not constant and necessary components of sleep. Analysis of EEG recordings soon revealed that sleep is by no means a uniform process, but can be divided into at least two sharply separated states: one is characterized by slow waves in the EEG that are completely separate from the activity of wakefulness: this so-called slow wave sleep; the other is the so-called paradoxical sleep. Hypnopedia, as a discipline, deals with the input of fixed information introduced during the period of natural sleep, also known as sleep learning. Our hypnopedia researches was a pleasant surprise, because they were able to reproduce texts they did not know with an efficiency of approx. 25%.

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25

Karamanlı, Harun, Fatih Kayhan, and Recep Akgedik. "Depressive Symptoms in Patients with Obstructive Sleep Apnea." Turkish Thoracic Journal 17, no. 3 (September 10, 2016): 109–13. http://dx.doi.org/10.5578/ttj.30506.

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26

Trivedi, Dr Ashish, and Dr Suhas Hardas. "Cardiovascular Profile of Patients With Obstructive Sleep Apnea." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 486–88. http://dx.doi.org/10.15373/2249555x/august2014/126.

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27

Özvurmaz, Safiye, and Hüsniye Çalışır. "OKUL ÖNCESİ DÖNEMDEKİ ÇOCUKLARIN UYKU ALIŞKANLIKLARI VE BESLENME DURUMLARI." e-Journal of New World Sciences Academy 13, no. 4 (October 17, 2018): 44–55. http://dx.doi.org/10.12739/nwsa.2018.13.4.4b0019.

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28

İnönü Köseoğlu, Handan. "COVID-19 pandemisi ve uyku bozuklukları: COVID-somnia." Tuberk Toraks 69, no. 3 (September 22, 2021): 387–91. http://dx.doi.org/10.5578/tt.20219711.

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29

Lovin, Sinziana, Dragos Cristian Stefanescu, Razvan Hainarosie, and Malina Ciumasu. "Metabolic Features In Patients with Obstructive Sleep Apnea Hypopnea Syndrome." Revista de Chimie 69, no. 7 (August 15, 2018): 1821–25. http://dx.doi.org/10.37358/rc.18.7.6424.

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Obstructive sleep apnea hypopnea syndrome (OSAHS) is characterized by repeated breathing pauses during sleep, with slee disruption, intermittent hypoxia, and cardiac, metabolic and neuropsychological disturbances. Metabolic syndrome (MS) is an association of cardiovascular risk factors centered on insulin resistance.The study objective is to calculate the prevalence of MS and its components in a large group of OSAHS patients. We evaluated 350 patients addressed to The Military Hospital Iasi between 2016 and 2017 from the clinical, metabolic and polygraphic poins of view. In 235 of the 350 de patients we found OSAHS. Of the 235 patients with OSAHS, 140 (60%) meet the criteria for MS, versus 29% of the group withut OSAHS (OR = 3.608, CI = 2.1787 - 5.975). Patients with OSAHS were older, more obese, more sedentary, sleepier and presented higher cholesterol values both total cholesterol and HDL fraction, higher tryglicerides values, higher blood sugar values and blood pressure values than patients without OSAHS. The prevalence of the MS in OSAHS patients is 60%, similar to what whas reported and higher by 31% than in the non OSAHS group. Certain components and associated conditions are characteristically linked to OSAHS.

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30

Ito, Masumi, Masako Kohsaka, Tetsuo Sumi, Nobuyuki Morita, Tamaki Miyamoto, Hiroshi Honma, and Noriko Fukuda. "A Clinical Study of Sleep-grand Mal." Journal of the Japan Epilepsy Society 10, no. 3 (1992): 279–84. http://dx.doi.org/10.3805/jjes.10.279.

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31

Vakulenko, Yuliia. "Children’s Sleep Habits Questionnaire (CSHQ): Adaptation to Ukrainian Sample." Problems of Modern Psychology : Collection of research papers of Kamianets-Podilskyi National Ivan Ohiienko University, G.S. Kostiuk Institute of Psychology of the National Academy of Educational Sciences of Ukraine, no. 48 (April 16, 2020): 35–58. http://dx.doi.org/10.32626/2227-6246.2020-48.35-58.

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32

Ito, Shin-ichi, Koyuki Orihashi, Momoyo Ito, and Minoru Fukumi. "A Gathered Images Analysis Method to Evaluate Sound Sleep." Journal of the Institute of Industrial Applications Engineers 7, no. 1 (January 25, 2019): 16–24. http://dx.doi.org/10.12792/jiiae.7.16.

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33

Güngen, belma, ahmet Yildirim, Yeşim Guzey Aras, Bilgehan Atılgan Acar, aysel Tekeşin, and Ayse Burcu Ayaz. "Az anyai migrén hatása a gyermekek alvásminőségére." Ideggyógyászati szemle 70, no. 11-12 (2017): 417–23. http://dx.doi.org/10.18071/isz.70.0417.

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34

KK, Dr Shyamala, and Bidhata Khatri. "Study on Clinical Profile of Obstructive Sleep Apnea (OSA)." Scholars Journal of Applied Medical Sciences 4, no. 6 (June 2016): 2074–83. http://dx.doi.org/10.21276/sjams.2016.4.6.43.

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35

ISTER, Emine DERYA. "Common Sleep Disorders and Risk Factors in Hemodialysis Patients." Asian Pacific Journal of Health Sciences 5, no. 4 (October 2018): 189–94. http://dx.doi.org/10.21276/apjhs.2018.5.4.29.

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36

ISTER, Emine DERYA. "Common Sleep Disorders and Risk Factors in Hemodialysis Patients." Asian Pacific Journal of Health Sciences 6, no. 1 (March 2019): 49–54. http://dx.doi.org/10.21276/apjhs.2019.6.1.7.

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37

Jokić, Daniela, Sandra Pjevac, Dragana Miličić, Ana Andrijević, and Ivan Kopitović. "Obstructive sleep apnea from the dentist point of view: The very first experiences." Praxis medica 47, no. 3-4 (2018): 29–34. http://dx.doi.org/10.5937/pramed1804029j.

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38

Ivana, Indi, Murniati Murniati, and Noor Rochmah Ida Ayu Trisno Putri. "The Relationship Between Gadget Usage and Adolescent Sleep Quality." Journal of Public Health for Tropical and Coastal Region 4, no. 1 (April 29, 2021): 23–27. http://dx.doi.org/10.14710/jphtcr.v4i1.10776.

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Introduction: Adolescent are very interested in gadgets that make it easier for them to carry out various social activities. One of the problems that can arise from gadget overuse is decreased quality of sleep. The purpose of this study was to determine the relationship between gadget usage behavior and adolescent sleep quality. Methods: Cross-sectional design was used in this study. Ninety-nine respondents had chosen with a proportionate stratified random sampling. Analysis was done by Chi square test. Results: Data analysis showed that 84.8% of the respondents were categorized as gadget addiction and 80.8% of the respondents experienced poor sleep quality. The relationship between gadget usage and sleep quality was significant with a p-value of 0.0001. Conclusion: There was a relationship between gadget usage and sleep quality in adolescents, in which gadget dependency had poorer quality of sleep.

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39

Khalil Biazim, Samia, Daniela Almeida Souza, Hipólito Carraro Junior, Kathy Richards, and Silvia Valderramas. "The Richards-Campbell Sleep Questionnaire and Sleep in the Intensive Care Unit Questionnaire: translation to Portuguese and cross-cultural adaptation for use in Brazil." Jornal Brasileiro de Pneumologia 46, no. 4 (2020): e20180237-e20180237. http://dx.doi.org/10.36416/1806-3756/e20180237.

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40

Ojeda-Paredes, Paulina, Damaris Francis Estrella-Castillo, and Héctor Armando Rubio-Zapata. "Calidad de sueño, síntomas de insomnio y rendimiento académico en estudiantes de medicina." Investigación en Educación Médica 29, no. 1 (January 17, 2019): 36–44. http://dx.doi.org/10.22201/facmed.20075057e.2019.29.1758.

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41

Bobby, Merin, G. M. Puttamadaiah, and B. Viswanatha. "SLEEP DISORDERED BREATHING DUE TO ADENO-TONSILLAR HYPERTROPHY IN CHILDREN." ORISSA JOURNAL OF OTOLARYNGOLOGY AND HEAD AND NECK SURGERY 10, no. II (December 31, 2016): 18–25. http://dx.doi.org/10.21176/ojolhns.2016.2.3.

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42

Kosai, Makoto, Kayoko Takeichi, Yoshizumi Wada, and Kenji Takada. "Antrochoanal Polyp with Sleep Apneic Episodes -A Case Report-." Practica oto-rhino-laryngologica. Suppl. 1988, Supplement24 (1988): 107–11. http://dx.doi.org/10.5631/jibirinsuppl1986.1988.supplement24_107.

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43

Walker, Matthew. "Sleep the good sleep." New Scientist 236, no. 3147 (October 2017): 30–33. http://dx.doi.org/10.1016/s0262-4079(17)32022-5.

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44

Inoué, Shojiro. "Sleep and sleep substances." Brain and Development 8, no. 4 (January 1986): 469–73. http://dx.doi.org/10.1016/s0387-7604(86)80071-7.

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45

HONDA, Kazuki. "Sleep and Sleep Substances." Kagaku To Seibutsu 41, no. 11 (2003): 713–17. http://dx.doi.org/10.1271/kagakutoseibutsu1962.41.713.

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46

MacLusky, Ian. "Sleep and Sleep Disturbance." Pediatric Dermatology 15, no. 4 (March 16, 2009): 324–25. http://dx.doi.org/10.1111/j.1525-1470.1998.tb01351.x.

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47

Hale, Deborah, and Katherine Marshall. "Sleep and Sleep Hygiene." Home Healthcare Now 37, no. 4 (2019): 227. http://dx.doi.org/10.1097/nhh.0000000000000803.

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48

Nicholson, A. N., and Peta A. Pascoe. "Paradoxical sleep (rapid eye movement sleep, fast-wave sleep) and sleep continuity." Drugs 38, Supplement 1 (1989): 4–13. http://dx.doi.org/10.2165/00003495-198900381-00004.

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49

Wongsirichot, Thakerng, Nittida Elz, Supasit Kajkamhaeng, Wanchai Nupinit, and Narongrit Sridonthong. "An Investigation of Data Mining Based Automatic Sleep Stage Classification Techniques." International Journal of Machine Learning and Computing 9, no. 4 (August 2019): 520–26. http://dx.doi.org/10.18178/ijmlc.2019.9.4.835.

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50

Macwana, Dr Jayprakashkumar, Dr R. K. Baxi Dr. R K Baxi, Dr Parag Chavda, and Dr Kedar Mehta. "Study of sleep deprivation and obesity among adolescents of Vadodara city." International Journal of Scientific Research 3, no. 1 (June 1, 2012): 389–91. http://dx.doi.org/10.15373/22778179/jan2014/134.

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