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A Study on Nurses' Ability to Perform Endotracheal Suction (중환자실 간호사의 기관내 흡인 실태)

  • Park Hyun-Ju;Choi Young-A;Kim Kyoung-Mi
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.8 no.3
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    • pp.379-390
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    • 2001
  • The purpose of this study was to survey the ability of nurses to perform endotracheal suction to provide basic data on correct endotracheal suction. The participants in this study were 181 intensive care unit nurses in two university hospitals and one general hospital located in Daegu, one university hospital and two general hospitals located in Pohang, one university hospital located in Gyeongju. These data were collected from February 1, 2001 to March 10, 2001 using self reported questionnaires. The study instrument, which was developed by these investigators, included questions on general characteristics and performance of endotracheal suction. The results of this study are as follows : 1. Of the Participants 71.3% recognized correct endotracheal suctioning and 23.2% did not. 2. The greatest number, 57.5%, acquired knowledge about endotracheal suctioning at conferences on practice or education for staff. 3 There were significant differences in scores on performance of endotracheal suction according to department (F=2.60, P=.05) and hospitals (F=3.24, p=.01) among the general characteristics. 4. Slightly less than half of the participants, 47.8%, averaged correct scores for endotracheal suctioning procedures. Ventilator $O_2$ supply had the highest score (84.0%), normal saline exchange time, the lowest (14.4%) From the results, we suggest that education is needed to increase the knowledge and correct performance of endotracheal suction. Further study including direct observation of Performance of endotracheal suction is also needed.

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The Design and Implementation of the Position Calibration System Using Sensor on u-WBAN (u-WBAN 기반의 센서를 이용한 자세교정 시스템 설계 및 구현)

  • Moon, Seung-Jin;Park, Yoon-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.2
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    • pp.304-310
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    • 2010
  • Chronic pain and herniated disk is a common disease that 80% of adults are experienced. There diseases rates of caused by the physical shock, such as the traffic accident, and the accidental fall is about 10%. And the most of these diseases is caused by having habitual incorrect position. People know that incorrect position would cause to accumulate continuous stress, but it is not easy to correct position. Because it does not recognize incorrect position repeated habitual consequently. This system collects data of user position after sensors that could measure position attach on use and presumes correct position used by position presumption algorithms. Its system purpose is continuing incorrect position could be aware to user and lead to change to correct position to prevent habituation of incorrect position. If habitual of correct position continues through accurate measurement and repeating cognitive learning, it would help for children and chronic patience.

Correspondence Matching of Stereo Images by Sampling of Planar Region in the Scene Based on RANSAC (RANSAC에 기초한 화면내 평면 영역 샘플링에 의한 스테레오 화상의 대응 매칭)

  • Jung, Nam-Chae
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.4
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    • pp.242-249
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    • 2011
  • In this paper, the correspondence matching method of stereo images was proposed by means of sampling projective transformation matrix in planar region of scene. Though this study is based on RANSAC, it does not use uniform distribution by random sampling in RANSAC, but use multi non-uniform computed from difference in positions of feature point of image or templates matching. The existing matching method sampled that the correspondence is presumed to correct by use of the condition which the correct correspondence is almost satisfying, and applied RANSAC by matching the correspondence into one to one, but by sampling in stages in multi probability distribution computed for image in the proposed method, the correct correspondence of high probability can be sampled among multi correspondence candidates effectively. In the result, we could obtain many correct correspondence and verify effectiveness of the proposed method in the simulation and experiment of real images.

Performance evaluation of hybrid acquisition in CDMA systems (DS/CDMA 시스템에서 하이브리드 동기 획득의 성능 분석)

  • 강법주;강창언
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.4
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    • pp.914-925
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    • 1998
  • This paper considers the evaluation of the hybrid acquistion perdformance for the pilot signal in the direct sequence code division multiple access(DS/CDMA) forward link. the hybrid acquisition is introduced by the combination of two schemes, the parallel and serial acquisions. The mean acquisition time of the proposed scheme is derived to consider both the best case(the correct code-phase offsets are included i one subset) and the worst case(the correct code-phase offsets exist at the boundary of two subsets), which are cause by the distribution of the correct code-phase offsets in the subset. Expressions for the detection, false alarm, and miss probabilities are derived for the case of multiple correct code-phase offsets and multipath Rayleigh fading channel. Numerical results present the hybrid acquistion performance with repect to design parameters such as postdetectio integration length in the search and verification modes, subset size, and number of I/Q noncoherent correlators, and compare the hybrid acquistion with the parallel acquistion in terms of the minimum acquistion time under the same hardware complexity.

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Utilization of Sport Biomechanics for the Correct Posture Exercise Program (Centering in Female Middle School Students) (바른체형운동 프로그램의 운동역학적 활용 방안 (척추측만증 여중생들을 중심으로))

  • Kim, Eui-Suk;Yang, Jeong-Ok;Lee, Joong-Sook
    • Korean Journal of Applied Biomechanics
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    • v.23 no.3
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    • pp.261-269
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    • 2013
  • The purpose of this study was to investigate the degree of improvement of scoliosis, muscle function and VAS between the exercise group and the control group after conducting correct posture exercise program with 20 female students diagnosed with scoliosis through PAPS in M middle school for 12 weeks. The conclusion was as follows. Cobb's angle in exercise group was changed from $11.6^{\circ}{\ae}2.5^{\circ}\acute{y} $ to $7.3^{\circ}{\ae}2.0^{\circ}\acute{y} $ which was statistically significant difference (p<.001). However, the change in Cobb's angle was not significant in control group, hence there was no statistically significant difference. The limber back strength was changed from $45.9^{\circ}{\ae}8.7$ kg to $51.6^{\circ}{\ae}14.9$ kg and sit-up was changed from $13.7^{\circ}{\ae}5.1$ times to $12.9^{\circ}{\ae}5.3$ times in exercise group, but they were not statistically significant. Control group also showed no statistically significant change in back strength and sit-up. The degree of VAS was changed from $7.3^{\circ}{\ae}1.6$ to $3.3^{\circ}{\ae}2.4$ which was a statistically significant difference (p<.01) in exercise group. However, there was no statistically significant difference in control group. Consequently, correct posture exercise program was considered to be effective for the reduction of Cobb's angle and degree of VAS for middle school female students with scoliosis. Therefore the correct posture exercise program can be recommended for youth scoliosis to improve and prevent the body imbalance and ultimately for the health of the youths.

An Inquiry into Prediction of Learner's Academic Performance through Learner Characteristics and Recommended Items with AI Tutors in Adaptive Learning (적응형 온라인 학습환경에서 학습자 특성 및 AI튜터 추천문항 학습활동의 학업성취도 예측력 탐색)

  • Choi, Minseon;Chung, Jaesam
    • Journal of Information Technology Services
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    • v.20 no.4
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    • pp.129-140
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    • 2021
  • Recently, interest in AI tutors is rising as a way to bridge the educational gap in school settings. However, research confirming the effectiveness of AI tutors is lacking. The purpose of this study is to explore how effective learner characteristics and recommended item learning activities are in predicting learner's academic performance in an adaptive online learning environment. This study proposed the hypothesis that learner characteristics (prior knowledge, midterm evaluation) and recommended item learning activities (learning time, correct answer check, incorrect answer correction, satisfaction, correct answer rate) predict academic achievement. In order to verify the hypothesis, the data of 362 learners were analyzed by collecting data from the learning management system (LMS) from the perspective of learning analytics. For data analysis, regression analysis was performed using the regsubset function provided by the leaps package of the R program. The results of analyses showed that prior knowledge, midterm evaluation, correct answer confirmation, incorrect answer correction, and satisfaction had a positive effect on academic performance, but learning time had a negative effect on academic performance. On the other hand, the percentage of correct answers did not have a significant effect on academic performance. The results of this study suggest that recommended item learning activities, which mean behavioral indicators of interaction with AI tutors, are important in the learning process stage to increase academic performance in an adaptive online learning environment.

An Assessment of the Knowledge, Attitude, and Practice Toward Standard Precautions Among Health Workers From a Hospital in Northern Cyprus

  • Abuduxike, Gulifeiya;Vaizoglu, Songul Acar;Asut, Ozen;Cali, Sanda
    • Safety and Health at Work
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    • v.12 no.1
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    • pp.66-73
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    • 2021
  • Background: The objective was to assess the knowledge level, attitude, and practice of health care workers towards standard precautions, and to identify the related factors. Furthermore, it was attempted to identify the proportion of having the experience of needle stick injuries (NSIs) and associated factors among participants. Methods: A cross-sectional study was conducted in a teaching hospital among 233 health workers using a self-administrated questionnaire. The questionnaire included eight knowledge items, seven practice items, and five attitude items. Based on the mean score of each category, responses were grouped into "satisfactory" and "unsatisfactory". Univariate, bivariate, and multivariable logistic regression analyses were done. Results: The mean age of the participants 32.95 (SD ± 9.70) and 62.2% of them were women. 57.5% of the staff had a satisfactory level of correct knowledge (>5 correct answers), 37.3% had a satisfactory positive attitude (>3 correct answers), and 30.9% had a satisfactory practice (>3 correct answers) towards standard precautions. The occupation was one of the predictors as doctors were less likely to have satisfactory knowledge and practice compared to nurses (OR = 0.269, 95% CI: 0.10-0.70 and OR = 0.248, 95% CI: 0.08-0.77, respectively). Out of 174 participants, 31.6% of them reported experiencing NSIs and support staff were 71% less likely to experience NSIs compared to nurses & paramedics. Conclusion: The findings revealed a substandard adherence of standard precautions among participants, which highlighted the necessity of the provision of a periodic, tailored training program based on the occupation and risk exposure.

Prediction of Correct Answer Rate and Identification of Significant Factors for CSAT English Test Based on Data Mining Techniques (데이터마이닝 기법을 활용한 대학수학능력시험 영어영역 정답률 예측 및 주요 요인 분석)

  • Park, Hee Jin;Jang, Kyoung Ye;Lee, Youn Ho;Kim, Woo Je;Kang, Pil Sung
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.11
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    • pp.509-520
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    • 2015
  • College Scholastic Ability Test(CSAT) is a primary test to evaluate the study achievement of high-school students and used by most universities for admission decision in South Korea. Because its level of difficulty is a significant issue to both students and universities, the government makes a huge effort to have a consistent difficulty level every year. However, the actual levels of difficulty have significantly fluctuated, which causes many problems with university admission. In this paper, we build two types of data-driven prediction models to predict correct answer rate and to identify significant factors for CSAT English test through accumulated test data of CSAT, unlike traditional methods depending on experts' judgments. Initially, we derive candidate question-specific factors that can influence the correct answer rate, such as the position, EBS-relation, readability, from the annual CSAT practices and CSAT for 10 years. In addition, we drive context-specific factors by employing topic modeling which identify the underlying topics over the text. Then, the correct answer rate is predicted by multiple linear regression and level of difficulty is predicted by classification tree. The experimental results show that 90% of accuracy can be achieved by the level of difficulty (difficult/easy) classification model, whereas the error rate for correct answer rate is below 16%. Points and problem category are found to be critical to predict the correct answer rate. In addition, the correct answer rate is also influenced by some of the topics discovered by topic modeling. Based on our study, it will be possible to predict the range of expected correct answer rate for both question-level and entire test-level, which will help CSAT examiners to control the level of difficulties.

Development of indicators for the evaluation of internet site for health information (인터넷 건강정보 사이트 평가지표 개발)

  • Kim, Yong-Soon;Park, Ji-Won;Yoo, Moon-Sook
    • Journal of Korean Academy of Nursing Administration
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    • v.6 no.2
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    • pp.291-298
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    • 2000
  • Objective : Use of Internet for health related information is rapidly increasing. There is, however, no consensus as to which information is correct and reliable. This study was conducted to develop an evaluation standards for health related information on the Internet for the purpose of delivering correct information to internet users. Methods : A Delphi technique, which involved a panel of 65 experts, was used as the research design for this study. In the first round, the initial evaluation criteria which consisted of 12 items was developed through a literature review by the researcher and the items represented 2 categories, structure and function. In the second round, a semi-structured questionnaire was sent to the experts with the initial evaluation tool and the respondents identified 55 items. In the third round, these 55 items were analyzed for content validity by the experts and a total of 35 items were included in the model; 11 items in the structural area, 24 in the functional area. Conclusions : Development of indicators for the evaluation of internet site for health information is crucial to provide correct and reliable information. For evaluation to be effective further evaluation programs need to be developed so that users can be sure that the information they received is accurate.

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Develop a Correct Scaled Body Figure Templates for Technical Flat (도식화 제작을 위한 연령그룹별 바디 템플릿 개발)

  • Yoon, Mi-Kyung;Nam, YunJa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.2
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    • pp.211-223
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    • 2018
  • In global apparel product development, flat is one of the most important key factor for technical design communication. Proportionally correct flats based on correct scaled human body figures are imperative to be successful in the fashion business. In this study the researchers were to develop body templates for flats for Korean women body types using data from 'Size Korea 2004 (5th)', which is a Korean government apparel sizing project to analyze women's body measurements (age range 7-49). We measured 13 height measurements, 6 width measurements, 8 circumference measurements, 6 length measurements, 3 angle measurements and 5 body measurements. A body figure (i.e., schema) for each group was created by Pattern Design Software (PAD) System 4.1. Muscle was added to the schema created by Adobe Illustrator to ensure a better visualization and convenience for industry uses for flats. Developed body figure template of representative type had the largest difference in height level compared to exiting figures. It had a bigger head, lower crotch level, and longer crotch depth and hip length than existing figures.