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Omenn syndrome: Severe combined immunodeficiency characterized by erythroderma
( Soobin Cha ),( Gi-wook Lee ),( Jun-oh Shin ),( Yeona Kim ),( Sang-hyeon Won ),( Jungsoo Lee ),( Hoon-soo Kim ),( Hyun-chang Ko ),( Byungsoo Kim ),( Moon-bum Kim ),( Kihyuk Shin ) 대한피부과학회 2023 대한피부과학회 학술발표대회집 Vol.74 No.2
Jia, Yuefa,Liu, Jia,Cha, Sangwon,Choi, Soobin,Park, Yun Chang,Liu, Chunli THE KOREAN SOCIETY OF INDUSTRIAL AND ENGINEERING 2017 JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY -S Vol.47 No.-
<P><B>Abstract</B></P> <P>Magnetically recyclable Au-TiO<SUB>2</SUB>/nanocube ZnFe<SUB>2</SUB>O<SUB>4</SUB> (Au-TiO<SUB>2</SUB>/NC ZFO) composite photocatalysts have been successfully prepared by a hydrothermal method. It was revealed that Au-TiO<SUB>2</SUB>/NC ZFO composite with 25% mass percentage of Au-TiO<SUB>2</SUB> exhibited a significantly enhanced photocatalytic efficiency toward chlortetracycline (CTC) degradation as compared to the binary TiO<SUB>2</SUB>/NC ZFO composite. The enhanced performance can be attributed to the addition of Au nanoparticles, which act as electron traps aiding the electron-hole separation and increasing the light absorption through the surface plasmon resonance effect. The synthesized catalyst showed good stability after three cycles and could be easily separated by a magnet and reused.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A new type ternary Au-TiO<SUB>2</SUB>/nanocube ZnFe<SUB>2</SUB>O<SUB>4</SUB>. </LI> <LI> The Au-TiO<SUB>2</SUB>/nanocube ZnFe<SUB>2</SUB>O<SUB>4</SUB> shows superior photocatalytic activity. </LI> <LI> The chlortetracycline can be removed by Au-TiO<SUB>2</SUB>/nanocube ZnFe<SUB>2</SUB>O<SUB>4</SUB>. </LI> <LI> Cycle degradation tests show the catalyst was highly active, stable and recoverable. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>Magnetically separable Au-TiO<SUB>2</SUB>/nanocube ZnFe<SUB>2</SUB>O<SUB>4</SUB> composite exhibit an outstanding photocatalytic activity in degradation of chlortetracycline (CTC) under visible light irradiation.</P> <P>[DISPLAY OMISSION]</P>
BERTopic을 활용한 불면증 소셜 데이터 토픽 모델링 및 불면증 경향 문헌 딥러닝 자동분류 모델 구축
고영수,이수빈,차민정,김성덕,이주희,한지영,송민,Ko, Young Soo,Lee, Soobin,Cha, Minjung,Kim, Seongdeok,Lee, Juhee,Han, Ji Yeong,Song, Min 한국정보관리학회 2022 정보관리학회지 Vol.39 No.2
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.