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Chia-Ming Chang,Shun-Hsiang Hsu,Ting-Wei Chang 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.1
Structural health monitoring (SHM) plays a vital role in the maintenance and operation of constructions. In recent years, autonomous inspection has received considerable attention because conventional monitoring methods are inefficient and expensive to some extent. To develop autonomous inspection, a potential approach of crack identification is needed to locate defects. Therefore, this study exploits two deep learning-based segmentation models, DeepLabv3+ and Mask R-CNN, for crack segmentation because these two segmentation models can outperform other similar models on public datasets. Additionally, impacts of label quality on model performance are explored to obtain an empirical guideline on the preparation of image datasets. The influence of image cropping and label refining are also investigated, and different strategies are applied to the dataset, resulting in six alternated datasets. By conducting experiments with these datasets, the highest mean Intersection-over-Union (mIoU), 75%, is achieved by Mask R-CNN. The rise in the percentage of annotations by image cropping improves model performance while the label refining has opposite effects on the two models. As the label refining results in fewer error annotations of cracks, this modification enhances the performance of DeepLabv3+. Instead, the performance of Mask R-CNN decreases because fragmented annotations may mistake an instance as multiple instances. To sum up, both DeepLabv3+ and Mask R-CNN are capable of crack identification, and an empirical guideline on the data preparation is presented to strengthen identification successfulness via image cropping and label refining.
Yen-Hsiang Huang,Kuo-Hsuan Hsu,Jeng-Sen Tseng,Kun-Chieh Chen,Chia-Hung Hsu,Kang-Yi Su,Jeremy J. W. Chen,Huei-Wen Chen,Sung-Liang Yu,Tsung-Ying Yang,Gee-Chen Chang 대한암학회 2018 Cancer Research and Treatment Vol.50 No.4
Purpose The main objective of this study was to investigate the relationship among the clinical characteristics and the frequency of T790M mutation in advanced epidermal growth factor receptor (EGFR)mutant lung adenocarcinoma patients with acquired resistance after firstline EGFRtyrosine kinase inhibitor (TKI) treatment. Materials and Methods We enrolled EGFR-mutant stage IIIB-IV lung adenocarcinoma patients, who had progressed to prior EGFR-TKI therapy, and evaluated their rebiopsy EGFRmutation status. Results A total of 205 patients were enrolled for analysis. The overall T790M mutation rate of rebiopsy was 46.3%. The T790M mutation rates among patients with exon 19 deletion mutation, exon 21 L858R point mutation, and other mutations were 55.0%, 37.3%, and 27.3%, respectively. Baseline exon 19 deletion was associated with a significantly higher frequency of T790M mutation (adjusted odds ratio, 2.14; 95% confidence interval [CI], 1.20 to 3.83; p=0.010). In the exon 19 deletion subgroup, there was a greater prevalence of T790M mutation than other exon 19 deletion subtypes in patients with the Del E746-A750 mutation (61.6% vs. 40.6%; odds ratio, 2.35; 95% CI, 1.01 to 5.49; p=0.049). The progression- free survival (PFS) of first-line TKI treatment > 11 months was also associated with a higher T790M mutation rate (54.1% vs. 39.3%; adjusted odds ratio, 1.82; 95% CI, 1.02 to 3.25; p=0.044). Patients who underwent rebiopsy at metastatic sites had more chance to harbor T790M mutation (52.6% vs. 33.8%; adjusted odds ratio, 1.97; 95% CI, 1.06 to 3.67; p=0.032). Conclusion PFS of first-line EGFR-TKI, rebiopsy site, EGFR exon 19 deletion and its subtype Del E746- A750 mutation are associated with the frequency of T790M mutation.
Cervical Vagal Nerve Stimulation Activates the Stellate Ganglion in Ambulatory Dogs
이경석,Chia-Hsiang Hsueh,Jessica A. Hellyer,박형욱,이영수,Jason Garlie,Patrick Onkka,Anisiia T. Doytchinova,John B. Garner,Jheel Patel,Lan S. Chen,Michael C. Fishbein,Thomas Everett 4th,Shien-Fong Lin,Peng-She 대한심장학회 2015 Korean Circulation Journal Vol.45 No.2
Background and Objectives: Recent studies showed that, in addition to parasympathetic nerves, cervical vagal nerves contained significantsympathetic nerves. We hypothesized that cervical vagal nerve stimulation (VNS) may capture the sympathetic nerves within the vagalnerve and activate the stellate ganglion. Materials and Methods: We recorded left stellate ganglion nerve activity (SGNA), left thoracic vagal nerve activity (VNA), and subcutaneouselectrocardiogram in seven dogs during left cervical VNS with 30 seconds on-time and 30 seconds off time. We then compared theSGNA between VNS on and off times. Results: Cervical VNS at moderate (0.75 mA) output induced large SGNA, elevated heart rate (HR), and reduced HR variability, suggestingsympathetic activation. Further increase of the VNS output to >1.5 mA increased SGNA but did not significantly increase the HR, suggestingsimultaneous sympathetic and parasympathetic activation. The differences of integrated SGNA and integrated VNA between VNSon and off times (ΔSGNA) increased progressively from 5.2 mV-s {95% confidence interval (CI): 1.25–9.06, p=0.018, n=7} at 1.0 mA to13.7 mV-s (CI: 5.97–21.43, p=0.005, n=7) at 1.5 mA. The difference in HR (ΔHR, bpm) between on and off times was 5.8 bpm (CI: 0.28–11.29, p=0.042, n=7) at 1.0 mA and 5.3 bpm (CI 1.92 to 12.61, p=0.122, n=7) at 1.5 mA. Conclusion: Intermittent cervical VNS may selectively capture the sympathetic components of the vagal nerve and excite the stellateganglion at moderate output. Increasing the output may result in simultaneously sympathetic and parasympathetic capture.
Pai Hsiang-Chu,Li Chia-Chi 한국간호과학회 2023 Asian Nursing Research Vol.17 No.2
Purpose: Hemiparesis in stroke survivors has been reported to affect respiratory function. The relationship between trunk control and respiratory function, however, is not well understood. We aimed to map the state of the association between the trunk and respiratory function as well as evaluate the effect of a respiratory function training intervention on trunk control for stroke survivors. Methods: A scoping review and meta-analysis of observational and interventional studies were performed. Cochrane Library, CINAHL with Full Text (EBSCO), Medline (Ovid), and PubMed were searched using the terms stroke, respiratory, and trunk control. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist was used to examine the sections of each report. Results: A total of 102 studies were identified, of which 12, published between 2011 and 2022, were included in the meta-analysis or narrative synthesis. Three studies were included in the meta-analysis of the correlation between trunk control and respiratory function parameters (forced vital capacity [FVC], forced expiratory volume during the first breath [FEV 1 ], maximal inspiratory pressure [MIP], and maximal expiratory pressure [MEP]) with effect sizes (Fisher's z) for all outcomes, which ranged from small to intermediate (between 0.21 and 0.39). Furthermore, five studies were included in the metaanalysis of the effect of respiratory function training intervention on trunk control. An overall effect size (Cohen's d) of 1.47 corresponds to a large effect. We also found significant improvements in MIP and MEP but not in FVC and FEV 1 for stroke survivors with the interventions. Conclusions: Respiratory training, use of diaphragmatic resistance exercise or abdominal breathing, use of a pressure threshold-loading device, and the performance of functional strengthening exercises for the trunk muscles were found to increase patients’ trunk control and improve their respiratory muscle strength.
Effect of Intra-layer Vs Fluctuation on Linear Seismic Site Response
Yen-Hsiang Chang,Chi-Chin Tsai,Chien-Chia Huang,박두희 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.10
Soil properties vary in space even within a soil layer. Nevertheless, site response analyses are typically conducted using a best-characterized shear wave velocity (Vs) profile without considering its fluctuation. In this study, the random field theory is adopted to model heterogeneous Vs profiles for a range of coefficient of variations (COVs) and correlation lengths (CLs). Linear 1D site responses are analyzed with the randomized profiles to quantify the influence of spatial Vs variation on the propagated ground motions. Results reveal that a higher COV of randomized Vs profiles leads to a lower mean ground response compared with a homogeneous Vs profile. The variation of CL does not significantly affect the surface response and peak ground acceleration profile, but is shown to influence the degree of fluctuation of the maximum shear strain profiles. For idealized profiles, the effect of heterogeneous Vs on ground response can be approximately predicted by using reduced Vs and enlarged small strain damping that are dependent on COV.
Ying-Ying Yang,Pin-Hsiang Huang,Ling-Yu Yang,Chia-Chang Huang,Chih-Wei Liu,Shiau-Shian Huang,Chen-Huan Chen,Fa-Yauh Lee,Shou-Yen Kao,Boaz Shulruf 한국보건의료인국가시험원 2022 보건의료교육평가 Vol.19 No.-
Purpose Undertaking a standard-setting exercise is a common method for setting pass/fail cut scores for high-stakes examinations. The recently introduced equal Z standard-setting method (EZ method) has been found to be a valid and effective alternative for the commonly used Angoff and Hofstee methods and their variants. The current study aims to estimate the minimum number of panelists required for obtaining acceptable and reliable cut scores using the EZ method. Methods The primary data were extracted from 31 panelists who used the EZ method for setting cut scores for a 12-station of medical school’s final objective structured clinical examination (OSCE) in Taiwan. For this study, a new data set composed of 1,000 random samples of different panel sizes, ranging from 5 to 25 panelists, was established and analyzed. Analysis of variance was performed to measure the differences in the cut scores set by the sampled groups, across all sizes within each station. Results On average, a panel of 10 experts or more yielded cut scores with confidence more than or equal to 90% and 15 experts yielded cut scores with confidence more than or equal to 95%. No significant differences in cut scores associated with panel size were identified for panels of 5 or more experts. Conclusion The EZ method was found to be valid and feasible. Less than an hour was required for 12 panelists to assess 12 OSCE stations. Calculating the cut scores required only basic statistical skills.