http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Factors Affecting Nurses’ Performance of Cancer Pain Management in a Tertiary Hospital
Minhwa Kang,서민정 한국호스피스완화의료학회 2022 한국호스피스.완화의료학회지 Vol.25 No.3
Purpose: More than 60% of patients with advanced cancer experience pain, and uncontrolled pain reduces the quality of life. Nurses are the closest healthcare providers to the patient and are suitable for managing cancer pain using pharmacological and non-pharmacological interventions. This study aimed to identify factors affecting the performance of cancer pain management among nurses. Methods: This study was conducted among 155 participating nurses working at a tertiary hospital who had experience with cancer pain management. Data collection was performed between October 18, 2021 and October 25, 2021. Data analysis was conducted using descriptive statistics, the independent-sample ttest, one-way analysis of variance, and hierarchical regression analysis. Results: There were 110 subjects (71.0%) who had no experience of cancer pain management education. The results of regression analysis indicated that barriers included medical staff, patients, and the hospital system for cancer pain management (β=0.28, P<0.001). The performance of cancer pain management was also affected by experience of cancer pain management training (β=0.22, P=0.007), and cancer pain management knowledge (β=0.21, P=0.006). The explanatory power of the variable was 16.6%. Conclusion: It is crucial to assess system-related obstacles, as well as patients and medical staff, in order to improve nurses’ cancer pain management performance. A systematic approach incorporating multidisciplinary interventions from interprofessional teams is required for effective pain management. Furthermore, pain management education is required both for cancer ward nurses and nurses in other wards.
Minhwa Lee,Dong Joo Seo,Su Been Jeon,Hyun Ee Ok,Hyelee Jung,Changsun Choi,Hyang Sook Chun 한국축산식품학회 2016 한국축산식품학회지 Vol.36 No.4
Contamination by foodborne pathogens and mycotoxins was examined in 475 eggs and 20 feed samples collected from three egg layer farms, three egg-processing units, and five retail markets in Korea. Microbial contamination with Salmonella species, Escherichia coli, and Arcobacter species was examined by bacterial culture and multiplex polymerase chain reaction (PCR). The contamination levels of aflatoxins, ochratoxins, and zearalenone in eggs and chicken feeds were simultaneously analyzed with high-performance liquid chromatography coupled with fluorescence detection after the post-derivatization. While E. coli was isolated from 9.1% of eggs, Salmonella species were not isolated. Arcobacter species were detected in 0.8% of eggs collected from egg layers by PCR only. While aflatoxins, ochratoxins, and zearalenone were found in 100%, 100%, and 85% of chicken feeds, their contamination levels were below the maximum acceptable levels (1.86, 2.24, and 147.53 μg/kg, respectively). However, no eggs were contaminated with aflatoxins, ochratoxins, or zearalenone. Therefore, the risk of contamination by mycotoxins and microbes in eggs and chicken feeds is considered negligible and unlikely to pose a threat to human health.
Development of Landslide Detection Algorithm Using Fully Polarimetric ALOS-2 SAR Data
( Minhwa Kim ),( Keunhoo Cho ),( Yoontaek Jung ),( Yeji Lee ),( Sangeun Park ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
SAR data is useful in a variety of applications such as disaster monitoring, target detection, and land cover classification. Especially, Polarimetric SAR data contains more information compared to conventional single-or dual- polarization SAR data. The objective of this study is to propose a novel landslide detection algorithm based on the polarimetric parameters providing better discriminability of landslide affected areas from undamaged backgrounds, such as the polarimetric entropy, radar vegetation index, and HH- and VV-polarization coherence. Since the estimation of polarimetric parameters can be affected by the number of look, another objective of this study is to evaluate the effect of speckle filtering on the landslide detection using polarimetric SAR data. On the other hand, it is important to correct geometric distortions in polarimetric SAR image because the landslide usually occurs in highly sloping terrain. In this study, we also investigate the effect of orthorectification on the estimation of polarimetric parameters. In order to develop the landslide detection algorithm, several deep seated landslides in Japan caused by Typhoon Talas in September 2011 were investigated using the L-band PALSAR-2 data.