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RISS 인기검색어
- 검색키워드
- 저자 : Diefenbach, Mel (검색결과 4 건)
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Towards Molecular Magnetic Switching with an Electric Bias
Diefenbach, Martin,Kim, Kwang S. WILEY-VCH Verlag 2007 Angewandte Chemie. international edition Vol.46 No.40
<B>Graphic Abstract</B> <P>Mesmerizing Molecules: A principle for the direct manipulation of molecular spin states (electron spins) with an electric field is described. This concept is of fundamental interest to both chemistry and physics, and it paves the way for molecular spintronics and quantum computing. Magnetic switching of a molecule with an electric field (see scheme) is demonstrated with quantum-chemical calculations. <img src='wiley_img/14337851-2007-46-40-ANIE200701901-content.gif' alt='wiley_img/14337851-2007-46-40-ANIE200701901-content'> </P>
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Hospital Emergency Department Simulation for Resource Analysis
Kozan, Erhan,Diefenbach, Mel Korean Institute of Industrial Engineers 2008 Industrial Engineeering & Management Systems Vol.7 No.2
The Emergency Department (ED) is an integral part of hospitals. Admissions from the ED account for a significant proportion for a hospital's activity. Ensuring a timely and efficient flow of patients through the ED is crucial for optimising patient care. In recent years, ED overcrowding and its impact on patient flow has become a major issue facing the health sector. Simulation is rapidly becoming a tool of choice when examining hospital systems due to its capacity to involve numerous factors and interactions that impact the system. An analytical simulation model is used to investigate potential impacts by changing the following aspects of ED (physical layouts; number of beds; number and rate of patient arrivals; acuity of illness or injury of patients; access to radiology and pathology services; hospital staffing arrangements; and access to inpatient beds). Results of a significant numerical investigation at a hospital are also presented.
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Hospital Emergency Department Simulation for Resource Analysis
Erhan Kozan,Mel Diefenbach 대한산업공학회 2008 Industrial Engineeering & Management Systems Vol.7 No.2
The Emergency Department (ED) is an integral part of hospitals. Admissions from the ED account for a significant proportion for a hospital’s activity. Ensuring a timely and efficient flow of patients through the ED is crucial for optimising patient care. In recent years, ED overcrowding and its impact on patient flow has become a major issue facing the health sector. Simulation is rapidly becoming a tool of choice when examining hospital systems due to its capacity to involve numerous factors and interactions that impact the system. An analytical simulation model is used to investigate potential impacts by changing the following aspects of ED (physical layouts; number of beds; number and rate of patient arrivals; acuity of illness or injury of patients; access to radiology and pathology services; hospital staffing arrangements; and access to inpatient beds). Results of a significant numerical investigation at a hospital are also presented.
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( Jin Woo Song ),( R Gisli Jenkins ),( Imre Noth ),( Moisés Selman ),( Vincent Cottin ),( Yasuhiko Nishioka ),( Antje Prasse ),( Eric S White ),( Carina Ittrich ),( Claudia Diefenbach ),( Klaus B Rohr 대한결핵 및 호흡기학회 2020 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.128 No.-
Background The INMARK trial investigated effects of nintedanib on blood biomarkers in subjects with IPF. We investigated the effect of nintedanib on markers of epithelial damage. Methods Subjects (n=346) with IPF and FVC ≥80% predicted were randomised 1:2 to receive nintedanib 150 mg bid or placebo double-blind for 12 weeks, followed by open-label nintedanib for 40 weeks. Blood samples were taken at weeks 4, 8, 12, 16, 20, 24, 36, and 52. We assessed the rate of change (slope) in log10-transformed CA-125 and CA19-9 (two markers of epithelial damage) from baseline to week 12 using random coefficient regression and changes in log10-transformed CA-125 and CA19-9 over 52 weeks using a mixed model for repeated measures. Results The adjusted rate of change in CA-125 levels from baseline to week 12 was significantly different for nintedanib vs placebo (difference -0.046 U/mL/month [95% CI 0.056, -0.035]; p<0.001). Adjusted mean CA-125 levels decreased with nintedanib vs placebo from week 4; after week 12 CA-125 levels were similar between groups (Figure). There was no significant difference between nintedanib and placebo in the adjusted rate of change in CA19-9 levels from baseline to week 12 (difference -0.023 U/mL/month [95% CI -0.055, 0.009]; p=0.17). Adjusted mean CA19-9 levels over 52 weeks were similar in both groups. Conclusion CA-125 may be a biomarker of response to nintedanib in patients with IPF.
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