• Sleep Medicine and Psychophysiology
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• v.8 no.1
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• pp.37-44
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• 2001

Background: Sleep disorders are prevalent in the general population and in medical practice. Three diagnostic classifications for sleep disorders have been developed recently: The International Classification of Sleep Disorders (ICSD), The Diagnostic and Statistical Manual, 4th edition (DSM-IV) and The International Classification of Diseases, 10th edition (ICD-10). Few data have yet been published regarding how the diagnostic systems are related to each other. To address these issues, we evaluated the frequency of sleep disorder diagnoses by DSM-IV and ICSD and compared the DSM-IV with the ICSD diagnoses. Method: Two interviewers assessed 284 inpatients who had been referred for sleep problems in general units of Anam Hospital, holding an unstructured clinical interview with each patient and assigning clinical diagnoses using ICSD and DSM-IV classifications. Results: The most frequent DSM-IV primary diagnoses were "insomnia related to another mental disorder (61.1% of cases)" and "delirium due to general medical condition (26.8%)". "Sleep disorder associated with neurologic disorder (38.4% of cases)" was the most frequent ICSD primary diagnosis, followed by "sleep disorder associated with mental disorder (33.1%)". In comparing the DSM-IV diagnoses with the ICSD diagnoses, sleep disorder unrelated with general medical condition or another mental disorder in DSM-IV categories corresponded with these in ICSD categories. But DSM-IV "primary insomnia" fell into two major categories of ICSD, "psychophysiologic insomni" and "inadequate sleep hygiene". Of 269 subjects, 62 diagnosed with DSM-IV sleep disorder related to general medical condition or another mental disorder disagreed with ICSD diagnoses, which were sleep disorders not associated with general medical condition or mental disorder, i. e., "inadequate sleep hygiene", "environmental sleep disorder", "adjustment sleep disorder" and "insufficient sleep disorder". Conclusion: In this study, we found not only a similar pattern between DSM-IV and ICSD diagnoses but also disagreements, which should not be overlooked by clinicians and resulted from various degrees of understanding of the pathophysiology of the sleep disorders among clinicians. Non-diagnosis or mis-diagnosis leas to inappropriate treatment, therefore the clinicians' understanding of the classification and pathophysiology of sleep disorders is important.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.529-534
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• 2004

KISTI has intended to provide domestic researchers of chemistry and materials with the Inorganic Crystal Structure Database free of charge. Therefore, we construct the database and develop new web-based information searching system with the use of the ICSD data licensed by the FIZ Karlsruhe, Germany. We organize several menus possible to search the structure of crystal in a variety of ways on the web and the search results show not only numerical data of the structure of crystal but also the graphic of X-ray diffraction pattern and the 3-dimension structure of crystal. The data will be updated continuously and the searching system will be improved in order to provide researchers with information easily and swiftly.

• Ceramist
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• v.7 no.4
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• pp.114-119
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• 2004

• Bulletin of the Korean Chemical Society
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• v.30 no.1
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• pp.183-187
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• 2009

The structure of nano-crystalline $MnFe_2O_4$ was determined and refined with electron powder diffraction data employing the Rietveld refinement technique. A nano-crystalline sample (with average crystal size of about 10.9 nm) was characterized by selected area electron diffraction in an energy-filtering transmission electron microscope operated at 120 kV. All reflection intensities were extracted from a digitized image plate using the program ELD and then used in the course of structure refinements employing the program FULLPROF for the Rietveld analysis. The final structure was refined in space group Fd-3m (# 227) with lattice parameters a=8.3413(7) $\AA$. The reliability factors of the refinement are $R_F$=7.98% and $R_B$=3.55%. Comparison of crystallographic data between electron powder diffraction data and reference data resulted in better agreement with ICSD-56121 rather than with ICSD-28517 which assumes an initial structure model.

• Sleep Medicine and Psychophysiology
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• v.2 no.1
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• pp.3-12
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• 1995

In the International Classification of Sleep Disorders(ICSD), REM sleep behavior disorder(RBD) and nightmares are classified as 'parasomnias usually associated with REM sleep'. RBD can be defined as the intermittent absence of REM sleep EMG atonia and the appearance of the elaborate motor activity associated with dream mentation. Bilateral pontine tegmental lesions in cats induce RBD-like behavior, but in human cases, more than 60% are idiopathic. Polysomnograpy shows characteristic findings in REM sleep and treatment with clonazepam is highly effective. With nightmares as long, frightening dream decreasing with age, their persistence or apperance in adults is related with certain drugs, trauma, personality and psychotic episode. Psychotherapy, behavior techniques or medication is used for treatment, but all of nightmares do not require treatment.

• Clinical and Experimental Pediatrics
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• v.50 no.8
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• pp.718-725
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• 2007

Sleep disorders are very common among pediatric patients. Its prevalence is between 10% and 45% in preschool- and school-aged children. However parents commonly do not concern about their children's sleeping habits and for many pediatricians, there is not part of the routine office visit about a childs sleep. Sleep disorders were classified by International Classification of Sleep Disorder (ICSD) as dyssomnias, parasomnias, sleep disorders associated with mental, neurologic, or other medical disorders, and proposed sleep disorders. There are lots of differences in the causes, manifestations, and managements of sleep disorders between children and adult. The sleep disorders in childhood may manifest themselves as bedtime resistance, refusal to go to bed at a parentally described time, sleep-onset delay, inability to fall asleep within a reasonable time, prolonged nighttime awakening, and inability to return to sleep without assistance after waking during the night, and so have wide-ranging influences on children's behavior, mood, school performance, and family life. It's very important for pediatrician to concern about the sleep disturbances in childhood and so the problems of sleep in children should be early detected and managed.

• Journal of the Korean Society of Radiology
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• v.9 no.1
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• pp.39-45
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• 2015

$La_2W_3O_{12}:Eu^{3+}$ phosphors were prepared by solid state reaction method. The crystal structure was characterized by XRD pattern and ICSD card (78180). Luminescence properties of $La_2W_3O_{12}:Eu^{3+}$ are investigated by optical and laser-excitation spectroscopy in which emission and excitation spectra and time-resolved spectra are measured. The 1 mol % $Eu^{3+}$-doped $La_2W_3O_{12}$ phosphor exhibits broad excitation band peaking at 286 nm due to the ligand-to-metal charge transfer transition. The excitation lines due to the $^7F_0{\rightarrow}{^5D_4},{^5D_4},{^5L_6},{^5G_4},{^5D_3},{^5D_2}$ transitions of $Eu^{3+}$ are observed in the wavelength region 350-500 nm. The strong line emission is observed at 618 nm corresponding to the due to the $^5D_0{\rightarrow}^7F_2$ transition. The lifetime of 618 nm emission decreases with increasing temperature as 7 K ($114{\mu}s$), 100 K ($94{\mu}s$), 200 K ($10{\mu}s$) and 300 K ($0.5{\mu}s$).

• Journal of the Semiconductor & Display Technology
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• v.19 no.2
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• pp.22-25
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• 2020

Deep red EuSi₂O₂N₂ phosphors were synthesized under various sintering gas pressures (1 atm, 2 atm, and 3 atm). They were in good agreement with the standard EuSi₂O₂N₂ ICSD card # 41-6046 (a monoclinic crystal system with space group of P2₁/a). Their photoluminescence intensities were significantly increased with increasing the gas pressures. They showed a broad band emission peaking at 680 nm due to 4f⁶5d¹ - 4f⁷ of Eu²⁺ ion, which can be efficiently excited in the visible range up to 550 nm. The best one at 3 atm was applied for red LED based on blue chip, which showed the strong deep red emission.

• Sleep Medicine and Psychophysiology
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• v.12 no.1
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• pp.45-49
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• 2005

Objectives: To compare the biogenetic temperament and character patterns of subjects with narcolepsy and those of healthy control subjects. Methods: Twenty-two subjects with narcolepsy, diagnosed with the International Classification of Sleep Disorder (ICSD) criteria, and 22 healthy control subjects were recruited. The Korean version of the Temperament and Character Inventory was administered to all subjects. Results: Compared to healthy control subjects, subjects with narcolepsy showed significantly higher Novelty-Seeking (ANCOVA, F=5.42, p=0.025), lower Persistence (F=8.41, p=0.006) and lower Self-Directedness scores (F=4.70, p=0.036). Conclusion: Narcoleptic patients have a distinct pattern of biogenetic temperament and character. Our findings suggest that narcoleptic patients are exploratory in response to novelty but give up easily. In addition, our findings show that narcoleptic patients consider themselves ineffective, purposeless, and fragile.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.111-129
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• 2022

Insomnia is a chronic disease in modern society, with the number of new patients increasing by more than 20% in the last 5 years. Insomnia is a serious disease that requires diagnosis and treatment because the individual and social problems that occur when there is a lack of sleep are serious and the triggers of insomnia are complex. This study collected 5,699 data from 'insomnia', a community on 'Reddit', a social media that freely expresses opinions. Based on the International Classification of Sleep Disorders ICSD-3 standard and the guidelines with the help of experts, the insomnia corpus was constructed by tagging them as insomnia tendency documents and non-insomnia tendency documents. Five deep learning language models (BERT, RoBERTa, ALBERT, ELECTRA, XLNet) were trained using the constructed insomnia corpus as training data. As a result of performance evaluation, RoBERTa showed the highest performance with an accuracy of 81.33%. In order to in-depth analysis of insomnia social data, topic modeling was performed using the newly emerged BERTopic method by supplementing the weaknesses of LDA, which is widely used in the past. As a result of the analysis, 8 subject groups ('Negative emotions', 'Advice and help and gratitude', 'Insomnia-related diseases', 'Sleeping pills', 'Exercise and eating habits', 'Physical characteristics', 'Activity characteristics', 'Environmental characteristics') could be confirmed. Users expressed negative emotions and sought help and advice from the Reddit insomnia community. In addition, they mentioned diseases related to insomnia, shared discourse on the use of sleeping pills, and expressed interest in exercise and eating habits. As insomnia-related characteristics, we found physical characteristics such as breathing, pregnancy, and heart, active characteristics such as zombies, hypnic jerk, and groggy, and environmental characteristics such as sunlight, blankets, temperature, and naps.