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- 저자 : Ching Kun Lin (검색결과 5 건)
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Lin, Ching-Kun,Chen, Hsien-Ching,Li, Rong-Kwei,Chen, Ching-Piao,Tsai, Chih-Hung The Korean Society for Quality Management 2009 The Asian Journal on Quality Vol.10 No.1
Face the process yield rate improvements of motherboard, although general enterprises finish deployment goal of each functions by overall quality managements, through quality improvement methods, industry engineering methods, plan-do-check-act (PDCA) methods and other improvement solutions, but it is only can be improved partially and unable to enhance the yield rate of product to the target. It only can takes one step ahead to enhance the process yield rate of motherboard with six sigma ($6{\sigma}$) overall DMAIC process and tactics. This research aimed to use six sigma quality improvement tactics by DMAIC systematic procedure and tactics, and find the key factors that effect to the process yield rate of surface mount technology. It also identified the keys input and process and output index to satisfy customer requirements and internal process index. The results showed that the major effective factors by fishbone and process failure modes and effects analysis (PFMEA). If the index of input and output that can be quantified, the optimum parameter can be found through design of experiment to ensure that the process is stable. If the factor of input and output that cannot be quantified, we found out the effective countermeasure by Mind_Mapping, make sure whole processes can be controlled stably, to reach the high product quality and enhance the customer satisfaction.
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Biomarkers in pursuit of precision medicine for acute kidney injury: hard to get rid of customs
( Kun-mo Lin ),( Ching-chun Su ),( Jui-yi Chen ),( Szu-yu Pan ),( Min-hsiang Chuang ),( Cheng-jui Lin ),( Chih-jen Wu ),( Heng-chih Pan ),( Vin-cent Wu ) 대한신장학회 2024 Kidney Research and Clinical Practice Vol.43 No.4
Traditional acute kidney injury (AKI) classifications, which are centered around semi-anatomical lines, can no longer capture the com plexity of AKI. By employing strategies to identify predictive and prognostic enrichment targets, experts could gain a deeper compre hension of AKI’s pathophysiology, allowing for the development of treatment-specific targets and enhancing individualized care. Sub phenotyping, which is enriched with AKI biomarkers, holds insights into distinct risk profiles and tailored treatment strategies that re define AKI and contribute to improved clinical management. The utilization of biomarkers such as N-acetyl-β-D-glucosaminidase, tis sue inhibitor of metalloprotease-2·insulin-like growth factor-binding protein 7, kidney injury molecule-1, and liver fatty acid-binding pro tein garnered significant attention as a means to predict subclinical AKI. Novel biomarkers offer promise in predicting persistent AKI, with urinary motif chemokine ligand 14 displaying significant sensitivity and specificity. Furthermore, they serve as predictive markers for weaning patients from acute dialysis and offer valuable insights into distinct AKI subgroups. The proposed management of AKI, which is encapsulated in a structured flowchart, bridges the gap between research and clinical practice. It streamlines the utilization of biomarkers and subphenotyping, promising a future in which AKI is swiftly identified and managed with unprecedented precision. Incorporating kidney biomarkers into strategies for early AKI detection and the initiation of AKI care bundles has proven to be more ef fective than using care bundles without these novel biomarkers. This comprehensive approach represents a significant stride toward precision medicine, enabling the identification of high-risk subphenotypes in patients with AKI.
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Mohsen Saffari,Kun-Chia Chang,Jung-Sheng Chen,Marc N. Potenza,Cheng-Fang Yen,Ching-Wen Chang,Po-Ching Huang,Hsin-Chi Tsai,Chung-Ying Lin 대한신경정신의학회 2023 PSYCHIATRY INVESTIGATION Vol.20 No.11
Objective Problematic use of social media (PUSM) may affect sleep quality and self-stigma in people with schizophrenia and consequently reduce their quality of life (QoL). This longitudinal study investigated if sleep quality and self-stigma mediated relationships between PUSM and QoL.Methods One-hundred-and-ninety-three outpatients with schizophrenia were recruited from a psychiatric center in Taiwan from April 2019 to August 2021 and participated in a longitudinal study at intervals of three months between measurements. QoL was assessed using the World Health Organization Quality of Life Questionnaire Brief Version; sleep quality using the Pittsburgh Sleep Quality Index; self-stigma using the Self-Stigma Scale-Short; and PUSM using the Bergen Social Media Addiction Scale. Via SPSS 20.0, general estimating equation models assessed temporal associations between variables. Via R software, mediating effects of self-stigma and sleep quality were examined through Monte Carlo simulations with 20,000 repetitions.Results Mean scores of physical, psychological, social and environmental QoL ranged from 11.86 to 13.02. Mean scores of sleep quality and self-stigma were 9.1±4.5 and 2.2±0.8, respectively. Sleep quality and self-stigma were directly related to QoL (p<0.001) and mediated indirect relationships between PUSM and all components of QoL with a range of 95% confidence intervals spanning from -0.0591 to -0.0107 for physical QoL; -0.0564 to -0.0095 for psychological QoL; -0.0292 to -0.0035 for social QoL; and -0.0357 to -0.0052 for environmental QoL.Conclusion Sleep quality and self-stigma mediated relationships between PUSM and QoL in people with schizophrenia. Developing interventions targeting PUSM, sleep, and self-stigma may help improve QoL in people with schizophrenia.
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Chung-Ze Wu,Dee Pei,An-Tsz Hsieh,Kun Wang,Jiunn-Diann Lin,Li-Hsiu Lee,Yi-Min Chu,Fone-Ching Hsiao,Chun Pei,Te-Lin Hsia 대한약학회 2010 Archives of Pharmacal Research Vol.33 No.3
The traditional sulfonylureas with long half-lives have sustained stimulatory effects on insulin secretion compared to the short-acting insulin secretagogue. In this study, we used the frequently sampled intravenous glucose tolerance test (FSIGT) to evaluate the insulin sensitivity (IS), glucose sensitivity (SG), and acute insulin response after glucose load (AIRg) after 4months treatment with either gliclazide or repaglinide. The design of study was randomizedcrossover. We enrolled 20 patients with new-onset type 2 diabetes (mean age, 49.3 years). Totally three FSIGTs were performed, one before and one after each of the two treatment periods as aforementioned. No significant differences in fasting plasma glucose, insulin, body mass index, blood pressure, glycated hemoglobin, or lipids were noted between the two treatments. After the repaglinide treatment, higher AIRg, lower IS, and lower SG were noted, but they did not reach statistical significance. The disposal index (DI) was also not significantly different between the two treatments. In conclusion, since non-significantly higher DI, AIRg, lower IS and SG were noted after repaglinide treatment, it might be a better treatment for diabetes, relative to gliclazide.
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