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문상흡 한국화학공학회 1981 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.19 No.2
불균일촉매의 표면흡착과 이의 반응활성을 진공 또는 반응조건하에서 측정하기 위한 두가지의 적외선용기가 설계되었다. 진공적외선용기는 10^(-6) Torr의 진공과 550℃의 온도하에서 48시간 이상 사용가능하며 반응/적외선용기는 표면흡착과 반응활성을 동시에 측정할 수 있다. 이 논문에서는 두가지 용기의 상세한 설계와 이를 사용한 몇가지 실험결과를 소개함으로서 그 응용범위를 제시하였다. Two infrared cells are designed for investigation of adsorption property and activity of heterogeneous catalysts under vacuum and reaction conditions. The vacuum IR cell is operable at 10^(-6) Torr and 550℃ for morethan 48 hours, and the reactor/lR cell simultaneously measures adsorption spectrum and activity of the catalyst. In this paper, detailed design of the cells and their initial applications are presented.
김혜숙,이선희,김혜숙,권오란 한국영양학회 2019 Journal of Nutrition and Health Vol.52 No.4
Purpose: Poor nutrition in hospitalized patients is closely linked to an increased risk of infection, which can result in complications affecting mortality, as well as increased length of hospital stay and hospital costs. Therefore, adequate nutritional support is essential to manage the nutritional risk status of patients. Nutritional support needs to be preceded by nutrition screening, in which accuracy is crucial, particularly for the initial screening. To perform initial nutrition screening of hospitalized patients, we used the Catholic Kwandong University (CKU) Nutritional Risk Screening (CKUNRS) tool, originally developed at CKU Hospital. To validate CKUNRS against the Patient-Generated Subjective Global Assessment (PG-SGA) tool, which is considered the gold standard for nutritional risk screening, results from both tools were compared. Methods: Nutritional status was evaluated in 686 adult patients admitted to CKU Hospital from May 1 to July 31, 2018 using both CKUNRS and PG-SGA. Collected data were analyzed, and the results compared, to validate CKUNRS as a nutrition screening tool. Results: The comparison of CKUNRS and PG-SGA revealed that the prevalence of nutritional risk on admission was 15.6% (n=107) with CKUNRS and 44.6% (n=306) with PG-SGA. The sensitivity and specificity of CKUNRS to evaluate nutritional risk status were 98.7% (96.8~99.5) and 33.3% (28.1~39.0), respectively. Thus, the sensitivity was higher, but the specificity lower compared with PG-SGA. Cohen’s kappa coefficient was 0.34, indicating valid agreement between the two tools. Conclusion: This study found concordance between CKUNRS and PG-SGA. However, the prevalence of nutritional risk in hospitalized patients was higher when determined by CKUNRS, compared with that by PG-SGA. Accordingly, CKUNRS needs further modification and improvement in terms of screening criteria to promote more effective nutritional support for patients who have been admitted for inpatient care.