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RISS 인기검색어
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- 저자 : Li‑Huan Hsu (검색결과 2 건)
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Li‑Huan Hsu,Yi‑chao Wu,Chou‑Chun Chiang,Jung‑Lien Chu,Yi‑Chiang Yu,An‑Hsiang Wang,Ben Jong‑Dao Jou 한국기상학회 2023 Asia-Pacific Journal of Atmospheric Sciences Vol.59 No.2
This study sought to assess the interdecadal and interannual variability of autumn extreme rainfall (ER) in Taiwan from 1979to 2019. Three types of ER events were identified based on a clustering analysis augmented by a deep autoencoder-basedneural network model. This method outperforms other methods in obtaining the optimal number of clusters by extractingthe synoptic features in advance. The patterns associated with these three types include a tropical cyclone covering Taiwan(TC), a TC-like circulation in the South China Sea (SCS) accompanied by northeasterly near northern Taiwan (TC-NE), andnortheasterly near northern Taiwan (NE). The differences in the rainfall pattern caused by the three types were discernableover Taiwan. How the PDO or ENSO modulates the regional large-scale environment to favor the occurrence of these ERevents was investigated. The occurrence of TC-NE events was simultaneously correlated with the negative phases of PDO/ENSO in the interdecadal/interannual scale. In the negative phases of PDO/ENSO, a low-level anomalous cyclone overSCS accompanied by background northeasterly favored the regional TC activities and may cause more TC-NE events. Theoccurrence of NE events is simultaneously correlated with the cold phase of ENSO. An anomalous low-level anticyclone inNortheast Asia strengthened the northeasterly toward northern Taiwan, and with the seasonal background moisture, providedfavorable conditions for the occurrence of the NE events. Overall, the occurrence of the TC events did not correlate with thePDO or ENSO signals; the reasons for the lack of correlation were discussed herein.
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Eunice Jia-Shiow Yuan,Shiau-Shian Huang,Chia-An Hsu,Jiing-Feng Lirng,Tzu-Hao Li,Chia-Chang Huang,Ying-Ying Yang,Chung-Pin Li,Chen-Huan Chen 한국보건의료인국가시험원 2023 보건의료교육평가 Vol.20 No.-
Purpose Coronavirus disease 2019 (COVID-19) has heavily impacted medical clinical education in Taiwan. Medical curricula have been altered to minimize exposure and limit transmission. This study investigated the effect of COVID-19 on Taiwanese medical students’ clinical performance using online standardized evaluation systems and explored the factors influencing medical education during the pandemic. Methods Medical students were scored from 0 to 100 based on their clinical performance from 1/1/2018 to 6/31/2021. The students were placed into pre-COVID-19 (before 2/1/2020) and midst-COVID-19 (on and after 2/1/2020) groups. Each group was further categorized into COVID-19-affected specialties (pulmonary, infectious, and emergency medicine) and other specialties. Generalized estimating equations (GEEs) were used to compare and examine the effects of relevant variables on student performance. Results In total, 16,944 clinical scores were obtained for COVID-19-affected specialties and other specialties. For the COVID-19-affected specialties, the midst-COVID-19 score (88.51–3.52) was significantly lower than the pre-COVID-19 score (90.14–3.55) (P<0.0001). For the other specialties, the midst-COVID-19 score (88.32–3.68) was also significantly lower than the pre-COVID-19 score (90.06–3.58) (P<0.0001). There were 1,322 students (837 males and 485 females). Male students had significantly lower scores than female students (89.33–3.68 vs. 89.99–3.66, P=0.0017). GEE analysis revealed that the COVID-19 pandemic (unstandardized beta coefficient=-1.99, standard error [SE]=0.13, P<0.0001), COVID-19-affected specialties (B=0.26, SE=0.11, P=0.0184), female students (B=1.10, SE=0.20, P<0.0001), and female attending physicians (B=-0.19, SE=0.08, P=0.0145) were independently associated with students’ scores. Conclusion COVID-19 negatively impacted medical students' clinical performance, regardless of their specialty. Female students outperformed male students, irrespective of the pandemic.
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