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276 results on '"Chen, Wei-Ying"'

6. Precise application of topical tranexamic acid to enhance endoscopic hemostasis for peptic ulcer bleeding: a randomized controlled study (with video)

Author

Chiang, Hsueh-Chien, Chen, Po-Jun, Yang, Er-Hsiang, Hsieh, Ming-Tsung, Shih, I-Cheng, Cheng, Hsiu-Chi, Chang, Wei-Lun, Chen, Wei-Ying, Chiu, Hung-Chih, Kuo, Hsin-Yu, Tsai, Wei-Chu, Lo, Yi-Ning, Yang, Kai-Chun, Chiang, Chien-Ming, Chen, Wei-Chih, Huang, Kuan-Kai, Tseng, Hsu-Huan, Chen, Chiung-Yu, Lin, Xi-Zhang, and Chuang, Chiao-Hsiung

Published
2023
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15. Can the Finger-Nose-Finger Task Be Used to Identify School-Aged Children with Probable Developmental Coordination Disorder?

Author

Li, Yao-Chuen, Chen, Wei-Ying, Zhu, Yi-Ching, and Wu, Sheng K

Abstract

This study aimed to investigate whether the Finger-Nose-Finger (FNF) task could be a potential test to identify school-aged children with probable Developmental Coordination Disorder (pDCD) from a large population. This study recruited 1365 nine to twelve years old children, 362 of whom were identified as pDCD using the Movement Assessment Battery for Children (MABC) test. An instrument was designed to conduct the FNF task. The times performed by the dominant hand (DH) and the non-dominant hand (NDH) in 30 seconds were recorded, as well as the Sum of both hands. The results showed that school-aged children with pDCD had significantly poor performance on DH, NDH, and Sum of the FNF task compared to typically developing children (all p's <0.001). However, the FNF task showed low sensitivity (24.9%) and low diagnostic rate (65.7%) against the MABC test, even though there was a significant moderate correlation between both tests (r = -0.300, p < 0.001). Taken together, even though school-aged children with pDCD perform worse on the FNF task, this task may not be sensitive enough to identify children with pDCD. Other testing items assessing other motor aspects, specifically balance, should be included and validated.

Published
2021
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36. The nonadherence and risk factors of eradication failure by sequential therapy as first‐line anti‐Helicobacter pylori treatment in real‐world clinical practice.

Author

Lee, Chun‐Te, Wu, Chung‐Tai, Chang, Wei‐Lun, Yang, Er‐Hsiang, Hsieh, Ming‐Tsung, Chen, Wei‐Ying, Sheu, Bor‐Shyang, and Cheng, Hsiu‐Chi

Subjects
HELICOBACTER pylori infections, PATIENT compliance, HELICOBACTER pylori, MEDICATION reconciliation, TREATMENT failure, ODDS ratio
Abstract

Background: The eradication rates of sequential therapy are high in clinical trials; however, the adherence for follow‐up or the patient population in a real‐world setting might be different from those in trails. This study investigates the effectiveness of sequential therapy in a real‐world setting and the factors that lead to treatment failure. Materials and Methods: In this retrospective study, patients receiving sequential therapy as a first‐line anti‐Helicobacter pylori (H. pylori) treatment in a real‐world setting were reviewed. The age adjusted Charlson Comorbidity Index (age‐CCI) and baseline variety of medications were reviewed to determine factors correlated with nonadherence for post‐treatment testing and H. pylori eradication failure. Results: A total of 1053 patients were reviewed. A total of 579 patients receiving sequential therapy were included in the analyses. Among them, 462 received post‐treatment testing and were placed into the follow‐up group. Thus, the post‐treatment testing rate was 79.8%. Stroke was an independent factor of nonadherence for post‐treatment testing. In the follow‐up group, the eradication failure rate was 8.2%. Female sex (odds ratio [OR] 2.41 [95% CI 1.16–5.03], p = 0.02) and age‐CCI ≥2 (OR 3.16 [1.05–9.48], p = 0.04) were independent factors of H. pylori eradication failure. The eradication failure rates were 14.4%, 7.8%, 7.1%, and 3.1% for the females with age‐CCI ≥2, females with age‐CCI <2, males with age‐CCI ≥2, and males with age‐CCI <2 subgroups, respectively (p = 0.027). Conclusions: In a real‐world setting, the adherence rate of post‐treatment testing for sequential therapy as a first‐line anti‐H. pylori treatment was found to be suboptimal. Female sex and age‐CCI ≥2 were independent factors of eradication failure. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Multi-Task Learning of Scanning Electron Microscopy and Synthetic Thermal Tomography Images for Detection of Defects in Additively Manufactured Metals.

Author

Scott, Sarah, Chen, Wei-Ying, and Heifetz, Alexander

Subjects
*SCANNING electron microscopy, *IMAGE segmentation, *METALS, *IMAGE intensifiers, *MACHINE learning
Abstract

One of the key challenges in laser powder bed fusion (LPBF) additive manufacturing of metals is the appearance of microscopic pores in 3D-printed metallic structures. Quality control in LPBF can be accomplished with non-destructive imaging of the actual 3D-printed structures. Thermal tomography (TT) is a promising non-contact, non-destructive imaging method, which allows for the visualization of subsurface defects in arbitrary-sized metallic structures. However, because imaging is based on heat diffusion, TT images suffer from blurring, which increases with depth. We have been investigating the enhancement of TT imaging capability using machine learning. In this work, we introduce a novel multi-task learning (MTL) approach, which simultaneously performs the classification of synthetic TT images, and segmentation of experimental scanning electron microscopy (SEM) images. Synthetic TT images are obtained from computer simulations of metallic structures with subsurface elliptical-shaped defects, while experimental SEM images are obtained from imaging of LPBF-printed stainless-steel coupons. MTL network is implemented as a shared U-net encoder between the classification and the segmentation tasks. Results of this study show that the MTL network performs better in both the classification of synthetic TT images and the segmentation of SEM images tasks, as compared to the conventional approach when the individual tasks are performed independently of each other. [ABSTRACT FROM AUTHOR]

Published
2023
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