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Chun Xiang Tang,Meng Jie Lu,Joseph Uwe Schoepf,Christian Tesche,Maximilian Bauer,John Nance,Parkwood Griffith,Guang Ming Lu,Long Jiang Zhang 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.2
Objective: To examine the fractional flow reserve derived from computed tomographic angiography (CT-FFR) in patients with anomalous origin of the right coronary artery from the left coronary sinus (R-ACAOS) with an interarterial course, assess the relationship of CT-FFR with the anatomical features of interarterial R-ACAOS on coronary computed tomographic angiography (CCTA), and determine its clinical relevance. Materials and Methods: Ninety-four patients with interarterial R-ACAOS undergoing CCTA were retrospectively included. Anatomic features (proximal vessel morphology [oval or slit-like], take-off angle, take-off level [below or above the pulmonary valve], take-off type, intramural course, % proximal narrowing area, length of narrowing, minimum luminal area [MLA] at systole and diastole, and vessel compression index) on CCTA associated with CT-FFR ≤ 0.80 were analyzed. Receiver operating characteristic analysis was performed to describe the diagnostic performance of CT-FFR ≤ 0.80 in detecting interarterial R-ACAOS. Results: Significant differences were found in proximal vessel morphology, take-off level, intramural course, % proximal narrowing area, and MLA at diastole (all p < 0.05) between the normal and abnormal CT-FFR groups. Take-off level, intramural course, and slit-like ostium (all p < 0.05) predicted hemodynamic abnormality (CT-FFR ≤ 0.80) with accuracies of 0.69, 0.71, and 0.81, respectively. Patients with CT-FFR ≤ 0.80 had a higher prevalence of typical angina (29.4% vs. 7.8%, p = 0.025) and atypical angina (29.4% vs. 6.5%, p = 0.016). Conclusion: Take-off level, intramural course, and slit-like ostium were the main predictors of abnormal CT-FFR values. Importantly, patients with abnormal CT-FFR values showed a higher prevalence of typical angina and atypical angina, indicating that CT-FFR is a potential tool to gauge the clinical relevance in patients with interarterial R-ACAOS.
Discriminative Models for Automatic Acquisition of Translation Equivalences
Chun-Xiang Zhang,Sheng Li,Tie-Jun Zhao 대한전기학회 2007 International Journal of Control, Automation, and Vol.5 No.1
Translation equivalence is very important for bilingual lexicography, machine translation system and cross-lingual information retrieval. Extraction of equivalences from bilingual sentence pairs belongs to data mining problem. In this paper, discriminative learning methods are employed to filter translation equivalences. Discriminative features including translation literality, phrase alignment probability, and phrase length ratio are used to evaluate equivalences. 1000 equivalences randomly selected are filtered and then evaluated. Experimental results indicate that its precision is 87.8% and recall is 89.8% for support vector machine.
Disambiguate Chinese Word Sense Based on Linguistics Knowledge
Chun-Xiang Zhang,Long Deng,Xue-Yao Gao,Zhi-Mao Lu 보안공학연구지원센터 2014 International Journal of Database Theory and Appli Vol.7 No.6
Word sense disambiguation (WSD) is important to many application problems in natural language processing fields, such as machine translation, parsing analysis and information retrieval. In this paper, we propose a new method to determine correct sense categories of Chinese words based on linguistics knowledge. The left word string and the right word string around the ambiguous word are respectively analyzed. Their syntactic structures are obtained for determining its intended sense. Syntactic category and part of speech are extracted as disambiguation features. A naive bayesian model is used as the classifier. Experimental results showed that the accuracy rate of classification arrives at 64%. The performance of disambiguation is improved.
Forming a thick CdZnTe epitaxial film by sublimating closely spaced
Xiang-Xiang Luoa,Cheng-Fang Qiao,Simon R Hall,Chun-Sheng Zhou 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.6
Thick Cadmium zinc telluride epitaxial films were grown on (100)GaAs substrate by Close-Spaced Sublimation. The growthrate was around 1 μm/min. SEM observations and XRD θ-2θ scan and ф scan revealed well-defined epitaxial features ofthe films. The films were found to be polycrystalline at the early stage of growth. As growth progressed, the films graduallybecame oriented until an epitaxial layer was formed. The polycrystalline to monocrystalline transition was achieved bypreferential lateral growth of the grains and with the aid of migration of atoms in the film. This growth mode differs fromthe well-established epitaxy where a suitable lattice fit is expected from the early stages of film growth. This mode can betterguide the growth mode of CZT thick films, and can grow large volume and high-quality thick films. High quality thick filmscan be better applied in fields such as solar cells, infrared and ultraviolet detection, and X-ray detection.
Automatic Acquisition Of Translation Equivalences From Bilingual Corpus
Chun?xiang Zhang,Tie?jun Zhao,Sheng Li 한국어정보학회 2006 한국어정보학 Vol.8 No.1
Translation equivalence is very useful for bilingual lexicography, machine translation system, cross‐lingual information retrieval and many applications in natural language processing. A linear combination model of multiple features is used to filter extracted equivalences in this paper. Experimental results indicate that performance of the combination model surpasses other classifiers’ in open test. 1000 equivalences labeled by linear combination model are randomly selected and then evaluated. Its F1 measure achieves 88.13%. Its performances surpass those classifiers.
( Chun Chu ),( Xiang Gao ),( Xiang Li ),( Xiaoying Zhang ),( Ruixin Ma ),( Ying Jia ),( Dahong Li ),( Dongkai Wang ),( Fanxing Xu ) 한국응용약물학회 2020 Biomolecules & Therapeutics(구 응용약물학회지) Vol.28 No.2
Silibinin exhibits antidiabetic potential by preserving the mass and function of pancreatic β-cells through up-regulation of estrogen receptor-α (ERα) expression. However, the underlying protective mechanism of silibinin in pancreatic β-cells is still unclear. In the current study, we sought to determine whether ERα acts as the target of silibinin for the modulation of antioxidative response in pancreatic β-cells under high glucose and high fat conditions. Our in vivo study revealed that a 4-week oral administration of silibinin (100 mg/kg/day) decreased fasting blood glucose with a concurrent increase in levels of serum insulin in high-fat diet/streptozotocin- induced type 2 diabetic rats. Moreover, expression of ERα, NF-E2-related factor 2 (Nrf2), and heme oxygenase-1 (HO-1) in pancreatic β-cells in pancreatic islets was increased by silibinin treatment. Accordingly, silibinin (10 μM) elevated viability, insulin biosynthesis, and insulin secretion of high glucose/palmitate-treated INS-1 cells accompanied by increased expression of ERα, Nrf2, and HO-1 as well as decreased reactive oxygen species production in vitro. Treatment using an ERα antagonist (MPP) in INS-1 cells or silencing ERα expression in INS-1 and NIT-1 cells with siRNA abolished the protective effects of silibinin. Our study suggests that silibinin activates the Nrf2-antioxidative pathways in pancreatic β-cells through regulation of ERα expression.
Chinese Word Sense Disambiguation Based on Hidden Markov Model
Zhang Chun-Xiang,Sun Yan-Chen,Gao Xue-Yao,Lu Zhi-Mao 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.6
Word sense disambiguation (WSD) is important for natural language processing. It plays important roles in information retrieval, machine translation, text categorization and topic tracking. In this paper, the transition among senses of words is considered. For an ambiguous word, its semantic codes and its left word’s semantic codes are taken as disambiguation features. At the same time, a new method based on hidden Markov model (HMM) is proposed for Chinese word sense disambiguation. Chinese Tongyici Cilin is used to determine semantic codes of words. HMM is optimized in training corpus. The WSD classifiers based on HMM is tested. Experimental results show that the accuracy of word sense disambiguation is improved.
Leukocyte invasion of the brain after peripheral trauma in zebrafish (Danio rerio)
Chen Xiang-Ke,Kwan Joseph Shiu-Kwong,Wong Gordon Tin-Chun,Yi Zhen-Ni,Ma Alvin Chun-Hang,Chang Raymond Chuen-Chung 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
Despite well-known systemic immune reactions in peripheral trauma, little is known about their roles in posttraumatic neurological disorders, such as anxiety, sickness, and cognitive impairment. Leukocyte invasion of the brain, a common denominator of systemic inflammation, is involved in neurological disorders that occur in peripheral inflammatory diseases, whereas the influences of peripheral leukocytes on the brain after peripheral trauma remain largely unclear. In this study, we found that leukocytes, largely macrophages, transiently invaded the brain of zebrafish larvae after peripheral trauma through vasculature-independent migration, which was a part of the systemic inflammation and was mediated by interleukin-1b (il1b). Notably, myeloid cells in the brain that consist of microglia and invading macrophages were implicated in posttraumatic anxiety-like behaviors, such as hyperactivity (restlessness) and thigmotaxis (avoidance), while a reduction in systemic inflammation or myeloid cells can rescue these behaviors. In addition, invading leukocytes together with microglia were found to be responsible for the clearance of apoptotic cells in the brain; however, they also removed the nonapoptotic cells, which suggested that phagocytes have dual roles in the brain after peripheral trauma. More importantly, a category of conserved proteins between zebrafish and humans or rodents that has been featured in systemic inflammation and neurological disorders was determined in the zebrafish brain after peripheral trauma, which supported that zebrafish is a translational model of posttraumatic neurological disorders. These findings depicted leukocyte invasion of the brain during systemic inflammation after peripheral trauma and its influences on the brain through il1b-dependent mechanisms.