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- 저자 : Pei-Jung Kuo (검색결과 5 건)
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Contextualized Existential Constructions in Mandarin Chinese
Pei-Jung Kuo 서울대학교 언어교육원 2022 語學硏究 Vol.58 No.3
This paper proposes that in addition to the typical “out-of-the-blue” existential construction, a kind of contextualized existential construction exists in Mandarin Chinese. This form does not exhibit the predicate restriction observed in typical existential constructions cross-linguistically. It is argued that this type of existential construction involves a topic-comment structure and functions as a subtype of the Existential Coda Construction discussed by Zhang (2007, 2008). The current analysis also explains the apparent lack of a definiteness restriction for specific Mandarin Chinese existential constructions.
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The Contextualized Existential Construction in Mandarin Chinese
Pei-Jung Kuo 서울대학교 언어교육원 2022 語學硏究 Vol.58 No.3
This paper proposes that in addition to the typical “out-of-the-blue” existential construction, a kind of contextualized existential construction exists in Mandarin Chinese. This form does not exhibit the predicate restriction observed in typical existential constructions cross-linguistically. It is argued that this type of existential construction involves a topic-comment structure and functions as a subtype of the Existential Coda Construction discussed by Zhang (2007, 2008). The current analysis also explains the apparent lack of a definiteness restriction for specific Mandarin Chinese existential constructions.
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On Causative Projections in Mandarin Chinese
Pei-Jung Kuo 서울대학교 언어교육원 2023 語學硏究 Vol.59 No.2
In this study, I examine causative projections in the resultative construction in Mandarin Chinese. In comparing Tsais (2015b) analysis of Chinese resultatives to that of Bi and Pan (2018), I argue that several pieces of evidence favor Bi and Pans proposal, which situates the causative projection around the vP periphery. I suggest, however, that their structure could be further refined and propose a fine-grained structure that not only explains the behavior of the relevant resultative and causative constructions in Chinese but also accords with causative distributions cross-linguistically.
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Chia-Lun Kuo,Pei-Chen Lee,Li-Jung Elizabeth Ku,Yu Sun,Tsung-Hsueh Lu,Muhammad Atoillah Isfandiari,Chung-Yi Li 한국역학회 2023 Epidemiology and Health Vol.45 No.-
OBJECTIVES: Information regarding the underlying causes of death (UCODs) and standardized mortality ratio (SMR) of dementia is instrumental in formulating medical strategies to prolong life in persons with dementia (PWD). We examined the leading UCODs among PWD and estimated the overall and cause-specific SMRs in relation to dementia in Taiwan. METHODS: Data were retrieved from 2 national datasets: the Taiwan Death Registry and the medical claim datasets of the National Health Insurance program. The observed person-years for each study participant were counted from the date of cohort enrollment to either the date of death or the final day of 2016. Sex-specific and age-specific SMRs were then calculated. RESULTS: The leading UCOD was circulatory disease, accounting for 26.0% of total deaths (n=3,505), followed by respiratory disease at 21.3% (n=2,875). PWD were at significantly increased risk of all-cause mortality (SMR, 2.01), with SMR decreasing with advancing age. A cause-specific analysis revealed that the highest SMRs were associated with nervous system diseases (SMR, 7.58) and mental, behavioral, and neurodevelopmental disorders (SMR, 4.80). Age appeared to modify SMR, suggesting that younger age at cohort enrollment was linked to higher SMRs for nearly all causes of mortality. CONCLUSIONS: Circulatory and respiratory diseases were the leading UCODs among PWD. The particularly elevated mortality due to nervous system diseases and mental disorders suggests that allocating more resources to neurological and psychiatric services is warranted. The elevated SMRs of various UCODs among younger PWD underscore the need for clinicians to pay particular attention to the medical care provided to these patients.
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Chien-Chi Kao,Yung-Chang Lai,Jung Pei,Chih-Wei Chang,Fei-Hua Kuo,Jin-Yuan Shun 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09
In recent years, IP surveillance networks are expected to enable various practical applications, such as finding suspects, monitoring pedestrians, and securing societies (e.g., securing a city, a company and a data center). With these applications, IP surveillance network is regarded as one of the potential technologies toward developing smart cities. To support the concept of IP surveillance networks, automatic attribute recognition systems have emerged as a promising intelligent management system. To automatically recognize attributes of pedestrians (e.g., gender and clothing), we apply deep convolutional neural networks (CNNs), and the main contributions of this paper are threefold: (1) we proposed a practical system architecture for intelligent management of surveillance networks; (2) we implemented different deep CNNs, and an ensemble-learning method that leverages these multiple deep-learning models; (3) we evaluated the models using the real data of IP surveillance networks.
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