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Angel Chao,Yi-Hao Lin,Lan-Yan Yang,Ren-Chin Wu,Wei-Yang Chang,Pi-Yueh Chang,Shih-Cheng Chang,Chiao-Yun Lin,Huei-Jean Huang,Cheng-Tao Lin,Hung-Hsueh Chou,Kuan-Gen Huang,Wen-Ling Kuo,Ting-Chang Chang,Ch 대한부인종양학회 2020 Journal of Gynecologic Oncology Vol.31 No.3
Objective: The characteristics of patients with metachronous breast and ovarian malignancies and the pathogenic role of BRCA1/2 mutations remain poorly understood. We investigated these issues through a review of hospital records and nationwide Taiwanese registry data, followed by BRCA1/2 mutation analysis in hospital-based cases. Methods: We retrospectively retrieved consecutive clinical records of Taiwanese patients who presented with these malignancies to our hospital between 2001 and 2017. We also collected information from the Data Science Center of the Taiwan Cancer Registry (TCR) between 2007 and 2015. Next-generation sequencing and multiplex ligation-dependent probe amplification were used to identify BRCA1/2 mutations and large genomic rearrangements, respectively. When BRCA1/2 mutations were identified in index cases, pedigrees were reconstructed and genetic testing was offered to family members. Results: A total of 12,769 patients with breast cancer and 1,537 with ovarian cancer were retrieved from our hospital records. Of them, 28 had metachronous breast and ovarian malignancies. We also identified 113 cases from the TCR dataset. Eighteen hospital-based cases underwent BRCA1/2 sequencing and germline pathogenic mutations were detected in 7 patients (38.9%, 5 in BRCA1 and 2 in BRCA2). All BRCA1/2 mutation carriers had ovarian high-grade serous carcinomas. Of the 12 patients who were alive at the time of analysis, 5 were BRCA1/2 mutation carriers. All of them had family members with BRCA1/2-associated malignancies. Conclusions: Our results provide pilot evidence that BRCA1/2 mutations are common in Taiwanese patients with metachronous breast and ovarian malignancies, supporting the clinical utility of genetic counseling.
Kuo-Feng Hua,A-Ching Chao,Ting-Yu Lin,Wan-Tze Chen,Yu-Chieh Lee,Wan-Han Hsu,Sheau-Long Lee,Hsin-Min Wang,Ding-I. Yang,Tz-Chuen Ju 고려인삼학회 2022 Journal of Ginseng Research Vol.46 No.4
Background: Huntington's disease (HD) is a neurodegenerative disorder caused by the expansion oftrinucleotide CAG repeat in the Huntingtin (Htt) gene. The major pathogenic pathways underlying HDinvolve the impairment of cellular energy homeostasis and DNA damage in the brain. The protein kinaseataxia-telangiectasia mutated (ATM) is an important regulator of the DNA damage response. ATM isinvolved in the phosphorylation of AMP-activated protein kinase (AMPK), suggesting that AMPK plays acritical role in response to DNA damage. Herein, we demonstrated that expression of polyQ-expandedmutant Htt (mHtt) enhanced the phosphorylation of ATM. Ginsenoside is the main and most effectivecomponent of Panax ginseng. However, the protective effect of a ginsenoside (compound K, CK) in HDremains unclear and warrants further investigation. Methods: This study used the R6/2 transgenic mouse model of HD and performed behavioral tests,survival rate, histological analyses, and immunoblot assays. Results: The systematic administration of CK into R6/2 mice suppressed the activation of ATM/AMPK andreduced neuronal toxicity and mHTT aggregation. Most importantly, CK increased neuronal density andlifespan and improved motor dysfunction in R6/2 mice. Conversely, CK enhanced the expression of Bcl2protected striatal cells from the toxicity induced by the overactivation of mHtt and AMPK. Conclusions: Thus, the oral administration of CK reduced the disease progression and markedlyenhanced lifespan in the transgenic mouse model (R6/2) of HD.
Investigation on correlation between pulse velocity and compressive strength of concrete using ANNs
Chao-Wei Tang,Yiching Lin,Shih-Fang Kuo 한국계산역학회 2007 Computers and Concrete, An International Journal Vol.4 No.6
The ultrasonic pulse velocity method has been widely used to evaluate the quality of concrete and assess the structural integrity of concrete structures. But its use for predicting strength is still limited since there are many variables affecting the relationship between strength and pulse velocity of concrete. This study is focused on establishing a complicated correlation between known input data, such as pulse velocity and mixture proportions of concrete, and a certain output (compressive strength of concrete) using artificial neural networks (ANN). In addition, the results predicted by the developed multilayer perceptrons (MLP) networks are compared with those by conventional regression analysis. The result shows that the correlation between pulse velocity and compressive strength of concrete at various ages can be well established by using ANN and the accuracy of the estimates depends on the quality of the information used to train the network. Moreover, compared with the conventional approach, the proposed method gives a better prediction, both in terms of coefficients of determination and root-mean-square error.
Bo-Qian Lin,Chao-Peng Huang,Kuo-Yo Tian,Pei-Huan Lee,Wei-Fang Su,Li Xu 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.1
Bifacial semi-transparent perovskite (PVSK) solar cell is a promising candidate to achieve high photo-electrical conversion efficiency (PCE) in a tandem structure with Si solar cells. The gap between lab-scale cells and large area modules needs to be closed using innovative patterning technology. In this paper we demonstrate that a single nanosecond pulsed laser (wavelength 532 nm, pulse duration 7 ns) can be used to perform all scribing processes, i.e. P1, P2 and P3, to manufacture PVSK solar modules. Compared to picosecond or femtosecond lasers reported in the literature, our approach has the advantages of high stability and low cost, and is thus applicable to large scale manufacturing of PVSK solar modules. Detailed laser processing parameters such as laser power and overlap ratio etc. have been studied to achieve optimal results for each scribing process. A mini module with two cells was fabricated on a 2 × 2 cm2 substrate, showing an active area efficiency of 12.5%, FF of 72.4%, and high GFF of 94%.
Nonlinear dynamic analysis of a relatively short spherical gas journal bearing system
Cheng-Chi Wang,Chao-Lin Kuo 대한기계학회 2010 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.24 No.8
This paper studies the nonlinear dynamic behavior and bifurcation of a rigid rotor supported by two relatively short spherical gas journal bearings. The modified Reynolds equation is solved by a hybrid numerical method combining the differential transformation method (DTM) and the finite difference method (FDM). The analytical results reveal a complex dynamic behavior comprising periodic, subharmonic and quasi-periodic responses as the rotor mass and bearing number are increased. The results obtained using the hybrid DTM&FDM scheme are found to be in good agreement with those of a hybrid scheme comprising the successive over relaxation (SOR)method and the FDM scheme. Therefore, the DTM&FDM method provides an effective means of gaining insights into the nonlinear dynamics of relatively short spherical gas rotor-bearing systems.
Initial Factors Influencing Duration of Hospital Stay in Adult Patients With Peritonsillar Abscess
Yu-Hsi Liu,Hsing-Hao Su,Yi-Wen Tsai,Yu-Yi Hou,Kuo-Ping Chang,Chao-Chuan Chi,Ming-Yee Lin,Pi-Hsiung Wu 대한이비인후과학회 2017 Clinical and Experimental Otorhinolaryngology Vol.10 No.1
Objectives. To review cases of peritonsillar abscess and investigate the initial clinical factors that may influence the duration of hospitalization. To determine the predictive factors of prolonged hospital stay in adult patients with peritonsillar abscess. Methods. Subjects were adults hospitalized with peritonsillar abscess. We retrospectively reviewed 377 medical records from 1990 to 2013 in a tertiary medical center in southern Taiwan. The association between clinical characteristics and the length of hospital stay was analyzed with independent t-test, univariate linear regression and multiple linear regression analysis. Results. The mean duration of hospitalization was 6.2±6.0 days. With univariate linear regression, a prolonged hospital stay was associated with several variables, including female gender, older ages, nonsmoking status, diabetes mellitus, hypertension, band forms in white blood cell (WBC) counts, and lower hemoglobin levels. With multiple linear regression analysis, four independent predictors of hospital stay were noted: years of age (P<0.001), history of diabetes mellitus (P<0.001), ratio of band form WBC (P<0.001), and hemoglobin levels (P<0.001). Conclusion. In adult patients with peritonsillar abscess, older ages, history of diabetes mellitus, band forms in WBC counts and lower hemoglobin levels were independent predictors of longer hospitalization.
The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images
Yao-Wen Liang,Yu-Ting Fang,Ting-Chun Lin,Cheng-Ru Yang,Chih-Chang Chang,Hsuan-Kan Chang,Chin-Chu Ko,Tsung-Hsi Tu,Li-Yu Fay,Jau-Ching Wu,Wen-Cheng Huang,Hsiang-Wei Hu,You-Yin Chen,Chao-Hung Kuo 대한척추신경외과학회 2024 Neurospine Vol.21 No.2
Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion: Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.