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Middle Aged's Dementia Knowledge, Attitudes and Needs for Dementia Prevention Education (중년층의 치매지식, 태도 및 치매예방교육 요구도)

  • Kim, Hye-Jeong
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.5
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    • pp.245-253
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    • 2020
  • This study was executed to develop an education program, which improves knowledge for dementia prevention of the middle aged and enhances positive attitudes, and provide basic data that can apply to communities by inquiring into the middle aged's dementia knowledge, attitudes and needs for dementia prevention education. The study data were collected from 218 people aged 40 to 64 in N city from October 15th to November 30th 2018. For data analysis, frequencies and percentages, t-test, ANOVA, Scheffé test and Pearson's correlation coefficients were applied. The study result displayed that the score of the middle aged's dementia knowledge was above average(9.13±2.20). The question 'Dementia is a disease.' earned the highest percentage of correct answers(88.1%), whereas the question 'Dementia is caused by medical, neurologic or psychiatric disorders.' earned the lowest percentage of correct answers(30.3%). The scores of attitudes towards dementia(34.33±5.69) and needs for dementia prevention education(23.58±3.46) were above average. In addition, there was a statistically significant positive correlation between attitudes towards dementia and needs for dementia prevention education(r=.275, p<.000). In conclusion, it was revealed that positive attitudes towards dementia had a close relation with needs for dementia prevention education. These findings implies that there will be a need to develop a systematic education program about dementia for the middle aged and seek proper political improvements of dementia through cooperation between communities and the country.

Comparison of Ventilation Effects by Mask Type for Proper Health Care of Respiratory Emergency Patients (호흡응급환자의 적절한 헬스케어를 위한 마스크 유형별 환기효과 비교)

  • Kim, Tae-Hyun;Park, Si-Eun
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.7
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    • pp.477-485
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    • 2020
  • This study is a random allocation similar experimental study to compare and analyze the difference in BVM (Bag-Valve-Mask) ventilation volume according to the characteristics of the rescuer's hand and the type of mask using a standardized mannequin. To this end, the Basic Life Resuscitation Education Center of D University in gwangju. Recruiting 39 students who have completed the basic resuscitation course for emergency medical personnel and the Korean-style specialized cardiac rescue course, In addition to measuring the physical characteristics of the hand, the average amount of ventilation per minute using a bag-mask was measured and analyzed. As a result, the type of mask that was not most affected by the characteristics of the hand and provided adequate Minute Ventilation was the soft type (tube, silicone) mask. On the other hard (tube, silicone) masks were found to be unsuitable for general use as they were greatly affected by the characteristics of workers' hands. COVID-19 is currently increasing the risk of transmission to paramedics and patients. Considering this situation, the universal use of a semi-permanent hard-type mask, which is disadvantageous not only for preventing infection but also for proper ventilation, should be avoided. In addition to the ease of use, it should be actively utilized in the field by supplying a soft type mask that can provide stable ventilation even with 'predominance recognition' and proper ventilation.

Effects of Color Therapy using Color Frames on Nurses' Job Stress and Depression (색채액자를 활용한 컬러테라피가 간호사의 직무스트레스와 우울에 미치는 영향)

  • Kang, Mi-Ae
    • Journal of Internet of Things and Convergence
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    • v.7 no.4
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    • pp.51-58
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    • 2021
  • This study is a quasi-experimental study designed to examine the effects of color therapy on job stress and depression by applying color therapy to intensive care unit nurses. The subjects of this study were S hospital located in S city, a secondary medical institution with 500 beds, P hospital located in B city, and nurses in the intensive care unit of two general hospitals. The data collection period was 8 weeks from November 2, 2020 to December 25, 2020, with 29 patients in the experimental group and 29 in the control group. The data were analyzed by chi-square test, independent t-test and paired t-test using the SPSS WIN 22.0 program. The experimental group applied color therapy twice a day (before and after work) using a standardized canvas frame painted in yellow, red, blue, and three colors, and a total of 20 times for 10 days, and the control group lived and woked as usual without appiled color therapy. As a result of study, the experimental group showed a significant decrease in job stress score by 0.43 points and depression score by 0.26 points compared to the control group

Anti-invasive Effect of Artemisia scoparia Halophyte Extract and its Solvent-partitioned Fractions in Human Fibrosarcoma Cells (인간 섬유육종세포에서 비쑥 추출물과 유기용매 분획물의 암전이 억제 효과)

  • Kim, Junse;Kong, Chang-Suk;Sim, Hyun-Bo;Seo, Youngwan
    • Journal of Life Science
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    • v.31 no.12
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    • pp.1100-1109
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    • 2021
  • The halophyte Artemisia scoparia is an edible medicinal plant, with insecticidal, anti-inflammatory, anticholesterol, antipyretic, and antibacterial effects. The aim of this study was to assess the inhibitory effect of crude extract and solvent-partitioned fractions obtained from A. scoparia on MMP-2 and MMP-9 activity in phorbol-12-myristate-13-acetate (PMA)-stimulated human fibrosarcoma HT-1080 cells using four different activity tests: gelatin zymography, MMP enzyme-linked immunosorbent assay (ELISA), wound healing assay, reverse transcription-polymerase chain reaction (RT-PCR), and Western blot assay. A. scoparia samples were extracted twice with methylene chloride (MC) and twice with methanol (MeOH). After the MC and MeOH crude extracts were combined, the combined crude extracts showed a significant inhibitory effect against MMP-2 and MMP-9 enzymes. They were then fractionated into n-hexane, 85% (v/v) aqueous methanol (85% (v/v) aq.MeOH), n-butanol, and water according to solvent polarity. Among the four solvent-partitioned fractions, n-hexane and 85% (v/v) aq. MeOH fractions significantly inhibited MMP-2 and MMP-9 activity and cell mobility. In addition, the n-hexane and 85% (v/v) aq.MeOH fractions effectively inhibited MMP-2 and -9 activity in the gelatin zymography and MMP ELISA assay. In the wound healing assay, RT-PCR, and Western blot assay, all solvent-partitioned fractions, except the H2O fraction, significantly suppressed cell migration, as well as the expression levels of MMP-2 and -9 mRNA and proteins.

Characterization of Deep Learning-Based and Hybrid Iterative Reconstruction for Image Quality Optimization at Computer Tomography Angiography (전산화단층촬영조영술에서 화질 최적화를 위한 딥러닝 기반 및 하이브리드 반복 재구성의 특성분석)

  • Pil-Hyun, Jeon;Chang-Lae, Lee
    • Journal of the Korean Society of Radiology
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    • v.17 no.1
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    • pp.1-9
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    • 2023
  • For optimal image quality of computer tomography angiography (CTA), different iodine concentrations and scan parameters were applied to quantitatively evaluate the image quality characteristics of filtered back projection (FBP), hybrid-iterative reconstruction (hybrid-IR), and deep learning reconstruction (DLR). A 320-row-detector CT scanner scanned a phantom with various iodine concentrations (1.2, 2.9, 4.9, 6.9, 10.4, 14.3, 18.4, and 25.9 mg/mL) located at the edge of a cylindrical water phantom with a diameter of 19 cm. Data obtained using each reconstruction technique was analyzed through noise, coefficient of variation (COV), and root mean square error (RMSE). As the iodine concentration increased, the CT number value increased, but the noise change did not show any special characteristics. COV decreased with increasing iodine concentration for FBP, adaptive iterative dose reduction (AIDR) 3D, and advanced intelligent clear-IQ engine (AiCE) at various tube voltages and tube currents. In addition, when the iodine concentration was low, there was a slight difference in COV between the reconstitution techniques, but there was little difference as the iodine concentration increased. AiCE showed the characteristic that RMSE decreased as the iodine concentration increased but rather increased after a specific concentration (4.9 mg/mL). Therefore, the user will have to consider the characteristics of scan parameters such as tube current and tube voltage as well as iodine concentration according to the reconstruction technique for optimal CTA image acquisition.

Quality Control and Image Quality Comparison according to Ultrasonic Equipment (초음파 장비에 따른 정도관리와 화질 비교)

  • Dong-Hee, Hong
    • Journal of the Korean Society of Radiology
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    • v.16 no.7
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    • pp.935-942
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    • 2022
  • In doing interventional treatment under the guidance of ultrasonography, the medical team detects the legion site with ultrasonic equipment at first, and insert angio needle. In this situation, if the position of legion and the depth of inserted needle on the ultrasonographic screen are different from real position and depth, the needle is likely to damage a major blood vessel or tissue. Accordingly, we had wondered how much such differences between screen image and reality, and so decided to examine them. Using five ultrasonographic equipments manufactured from different companies in different years, this study tried to compare the lengths of the needle on the screen images and real lengths of it, and find out the factors affecting skewness of them. This study used hog meat chunk to mimic human flesh, and sausages as the target of needle. It compared penetrating depths of the needle as the images on the five equipments using single sample t test in the SPSS 22 statistical program. It was found that all the errors were statistically significant(<.05). So, this study decided that it was wrong to evaluate performances of the equipments by the makers and ages of them. It is necessary to do periodic quality controls of equipments and improve the skillfulness of sonographers to reduce error rates between real treatment areas and the images of them.

A Study of Cancer Incidence Rate due to Photoneutron Dose during Radiation Therapy for Prostate Cancer Patients (전립샘암 환자의 방사선 치료 시 광중성자 선량으로 인한 암 발생률의 연구)

  • Lee, Joo-Ah
    • Journal of the Korean Society of Radiology
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    • v.16 no.4
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    • pp.471-476
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    • 2022
  • The purpose of this study was to study the probability of cancer occurrence due to photoneutron dose exposure of the colon and thyroid gland, which are normal organs, in 3D CRT, IMRT 5 portals, and IMRT 9 portals, which are radiotherapy methods for prostate cancer. The total prescribed dose for prostate cancer was 6600 cGy, 220 cGy per dose, and 30 divided irradiations were applied for the total number of times. After setting up the Rando phantom on the treatment table (couch) of the medical linear accelerator used in the experiment, an optically stimulated luminescence albedo neutron dosimeter was placed on the corresponding area of the large intestine and thyroid gland of the phantom for measurement. During 3D CRT of prostate cancer, the probability of secondary cancer due to photoneutron dose to the colon and thyroid gland, which are normal organs, was 1.8 per 10,000 people. And IMRT 5 portals were 8.7 per 10,000 people, which was about 5 times larger than 3D CRT. IMRT 9 portals derived the result that there is a probability that 1.2 people per 1,000 people will develop cancer. Based on this study, the risk of secondary radiation exposure due to the dose of photoneutrons generated during radiation therapy is studied, and it is thought that it will be used as useful data for radiation protection in relation to the stochastic effect of radiation in the future.

Improved Anatomical Landmark Detection Using Attention Modules and Geometric Data Augmentation in X-ray Images (어텐션 모듈과 기하학적 데이터 증강을 통한 X-ray 영상 내 해부학적 랜드마크 검출 성능 향상)

  • Lee, Hyo-Jeong;Ma, Se-Rie;Choi, Jang-Hwan
    • Journal of the Korea Computer Graphics Society
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    • v.28 no.3
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    • pp.55-65
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    • 2022
  • Recently, deep learning-based automated systems for identifying and detecting landmarks have been proposed. In order to train such a deep learning-based model without overfitting, a large amount of image and labeling data is required. Conventionally, an experienced reader manually identifies and labels landmarks in a patient's image. However, such measurement is not only expensive, but also has poor reproducibility, so the need for an automated labeling method has been raised. In addition, in the X-ray image, since various human tissues on the path through which the photons pass are displayed, it is difficult to identify the landmark compared to a general natural image or a 3D image modality image. In this study, we propose a geometric data augmentation technique that enables the generation of a large amount of labeling data in X-ray images. In addition, the optimal attention mechanism for landmark detection was presented through the implementation and application of various attention techniques to improve the detection performance of 16 major landmarks in the skull. Finally, among the major cranial landmarks, markers that ensure stable detection are derived, and these markers are expected to have high clinical application potential.

Effects of Korean Medicine Treatment in Post-acute COVID-19 Syndrome: A Retrospective Case Series of 15 Patients (한방병원에 내원한 급성기 이후 코로나-19 환자 15명에 대한 임상적 특징 및 치료 분석 : 사례군 연구)

  • Park, Jiwon;Hong, Sung-eun;Shin, Jeong-Won;Kim, Kwan-Il;Lee, Beom-Joon;Jung, Hee-Jae
    • The Journal of Internal Korean Medicine
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    • v.43 no.3
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    • pp.396-412
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    • 2022
  • Objective: The aim of this study was to identify the clinical features of post-acute COVID-19 syndrome and the efficacy and safety of Korean medicine treatment. Methods: This study was conducted on 15 patients with post-acute COVID-19 syndrome who visited the outpatient Allergy, Immune, and Respiratory System Department at Kyung Hee University Korean Medicine Hospital from January 10, 2021 to April 10, 2022. We retrospectively analyzed the charts of 15 patients and collected clinical characteristics, Korean medicine treatments, outcome variables (Numeral Rating Scale (NRS), modified Medical Research Council scale (mMRC), Leicester Cough Questionnaire (LCQ), Quality of Life Visual Analog Scale (QOL-VAS), The Post-COVID-19 Functional Status (PCFS)), adverse events, etc. Results: Of the 15 patients, seven (46.7%) were men, and the average age of all patients was 49.7±13 years. The most common symptom was cough (n=9, 60%), and it was followed by dyspnea or increased respiratory effort, fatigue, insomnia, anosmia, etc. The herbal medicine was prescribed for all 15 patients, and Saengmaek-san (n=8, 53.5%) was the most prescribed. Additionally, acupuncture and cupping were performed in four patients (26.7%) each, and electroacupuncture was applied to one patient (6.7%). As a result of Korean medicine treatment, NRS, mMRC, LCQ, QOL-VAS, and PCFS showed improvement, and adverse events were mild. Conclusions: This study presented the clinical features of post-acute COVID-19 syndrome and suggested that Korean medicine treatment may be effective in alleviating related symptoms and enhancing quality of life.

Percentile-Based Analysis of Non-Gaussian Diffusion Parameters for Improved Glioma Grading

  • Karaman, M. Muge;Zhou, Christopher Y.;Zhang, Jiaxuan;Zhong, Zheng;Wang, Kezhou;Zhu, Wenzhen
    • Investigative Magnetic Resonance Imaging
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    • v.26 no.2
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    • pp.104-116
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    • 2022
  • The purpose of this study is to systematically determine an optimal percentile cut-off in histogram analysis for calculating the mean parameters obtained from a non-Gaussian continuous-time random-walk (CTRW) diffusion model for differentiating individual glioma grades. This retrospective study included 90 patients with histopathologically proven gliomas (42 grade II, 19 grade III, and 29 grade IV). We performed diffusion-weighted imaging using 17 b-values (0-4000 s/mm2) at 3T, and analyzed the images with the CTRW model to produce an anomalous diffusion coefficient (Dm) along with temporal (𝛼) and spatial (𝛽) diffusion heterogeneity parameters. Given the tumor ROIs, we created a histogram of each parameter; computed the P-values (using a Student's t-test) for the statistical differences in the mean Dm, 𝛼, or 𝛽 for differentiating grade II vs. grade III gliomas and grade III vs. grade IV gliomas at different percentiles (1% to 100%); and selected the highest percentile with P < 0.05 as the optimal percentile. We used the mean parameter values calculated from the optimal percentile cut-offs to do a receiver operating characteristic (ROC) analysis based on individual parameters or their combinations. We compared the results with those obtained by averaging data over the entire region of interest (i.e., 100th percentile). We found the optimal percentiles for Dm, 𝛼, and 𝛽 to be 68%, 75%, and 100% for differentiating grade II vs. III and 58%, 19%, and 100% for differentiating grade III vs. IV gliomas, respectively. The optimal percentile cut-offs outperformed the entire-ROI-based analysis in sensitivity (0.761 vs. 0.690), specificity (0.578 vs. 0.526), accuracy (0.704 vs. 0.639), and AUC (0.671 vs. 0.599) for grade II vs. III differentiations and in sensitivity (0.789 vs. 0.578) and AUC (0.637 vs. 0.620) for grade III vs. IV differentiations, respectively. Percentile-based histogram analysis, coupled with the multi-parametric approach enabled by the CTRW diffusion model using high b-values, can improve glioma grading.