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RISS 인기검색어
- 검색키워드
- 저자 : Ming-Shao Tsai (검색결과 3 건)
- 무료
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Type 2 Diabetes Mellitus Increases Peritonsillar Abscess Susceptibility: Real-World Evidence
Ching-Lung Wu,Ming-Shao Tsai,Ta-Jen Lee,Yun-Ting Wang,Chia-Yen Liu,Yao-Hsu Yang,Yao-Te Tsai,Cheng-Ming Hsu,Ching-Yuan Wu,Pey-Jium Chang,Geng-He Chang 대한이비인후과학회 2021 Clinical and Experimental Otorhinolaryngology Vol.14 No.3
Objectives. Type 2 diabetes mellitus (T2DM) is a risk factor for deep neck infection (DNI) and leads to complications and poor outcomes. Our study aimed to investigate the risk, prognosis, and complications of peritonsillar abscess (PTA) in patients with T2DM. Methods. We extracted data of patients newly diagnosed as having T2DM between January 2000 and December 2011 from Taiwan’s National Health Insurance Research Database. These patients were matched with patients without T2DM, and PTA incidence was compared between both cohorts. Results. In total, 67,852 patients with and 135,704 patients without T2DM were enrolled. PTA incidence was significantly higher in patients with T2DM (incidence rate ratio, 1.91; P<0.001); moreover, PTA incidence was higher at 1 to 5 years after T2DM diagnosis than at <1 and >5 years after T2DM diagnosis. Cox regression analysis showed that patients with T2DM had an approximately 2-fold higher PTA risk (adjusted hazard ratio [aHR]: 1.89, P<0.001). Patients with a higher adapted Diabetes Complications Severity Index (aDCSI) had higher PTA risk than those with a lower aDCSI (aHRs: 2.17 for aDCSI ≥1, P=0.006 and 1.81 for aDCSI=0, P=0.002). T2DM patients with a high aDCSI (≥1) had a nonsignificantly longer hospitalization duration and a higher rate of DNI complications than did those with a low aDCSI (=0). Conclusion. In patients with T2DM, PTA incidence was relatively high, and it increased with T2DM severity. Moreover, T2DM patients should be particularly careful about PTA within 1 to 5 years after the diagnosis, and physicians should keep in mind that the prognosis of PTA was correlated with T2DM severity.
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A Low Voltage and Low Power Flip-flop Design Using Virtual VDD Scheme
Jin-Fa Lin,Shao-Wei Yu,Chang-Ming Tsai,Ming-Hwa Sheu 대한전자공학회 2019 Journal of semiconductor technology and science Vol.19 No.5
A novel low voltage and low power true-single-phase flip-flop (FF) design is proposed in this paper. It is adapted from conventional Set-Reset latch based FF design and achieves circuit simplification by using virtual VDD scheme. The optimization measure leads to a new design providing better various performances. Based on post layout simulation results using the TSMC CMOS 180 nm technology, the proposed design outperforms the conventional TGFF by 68.7% in energy consumption (at 25% switching activity).
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The Use of a Multiple Risk Level Model to Tackle the Duration of Risk for Construction Activity
Hsien-Kuan Chang,Wen-der Yu,Shao-Tsai Cheng,Tao-Ming Cheng 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.6
The project evaluation and review technique (PERT) is the most well-known method to handle the risk due to uncertain activity durations, previous studies show that the β-distribution-based PERT estimation tends to be over-optimistic and it offers no control of the project in terms of risk duration. This study proposes a multiple risk-level (MRL) model that uses a site spatial constraint, environmental effects and the “5 Ms” of construction management to tackle the duration of risk during a construction project. A Risk-based Critical Path Scheduling Method (R-CPSM) that uses MRL is developed to calculate the duration of the project. A case study using a project selected from a previous study is used to compare the four estimation methods: two traditional PERT methods (3.2σs and 6σs), a Monte Carlo Simulation and the proposed MRL model. The results show that, compared with traditional approaches to estimate durations of uncertain activity, the proposed R-CPSM method is more systematic that can be combined with a cost estimation process and offers a rectification mechanism that dynamically monitors and adjusts the important factors that affect the risk duration. This method gives a more realistic estimate that is in agreement with the results of previous studies.
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