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Development of a Problem-based Learning Package for RN-BSN Students - Based on the Cases of Women during Pregnancy, Childbirth and Postpartum - (RN-BSN 학생을 위한 문제중심학습(Problem-Based Learning) 패키지 개발 - 임신, 분만, 산욕여성의 상황을 중심으로 -)

  • Song, Young-A;Shin, Hye-Sook
    • Women's Health Nursing
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    • v.11 no.2
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    • pp.99-109
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    • 2005
  • Purpose: The purpose of this study is to present a procedure for developing a PBL package and to provide the example of its application. Method: In this study, the PBL package was proposed based on the integrated curricular under maternity nursing. The PBL package model proposed by Little was applied to this study. Result: The procedure for developing the PBL package includes course objectives, learning objectives, concept mapping, situation scenario, tutor guide, and evaluation method. Clinical scenarios used in 3 PBL packages were composed of a pregnant women, a childbirth women, and a postpartum women. The Eight detailed steps are given in this study. Conclusion: Through these findings, the steps might be easier and more useful for nurse professionals to begin using the PBL package in maternity nursing. In addition, the steps will actively contribute to imply the PBL in nursing education.

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내장형 및 부착형 인체센서네트워크의 연구동향 및 이슈

  • Ullah, Sana;Higgins, Henry;Gwak, Gyeong-Seop
    • Information and Communications Magazine
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    • v.25 no.2
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    • pp.18-25
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    • 2008
  • 지능형 센서, 마이크로전자공학 및 집적회로, SoC (system-on-chip) 설계와 저전력 무선통신의 급속한 발달로 소형 지능형 센서노드의 개발을 촉진하여 왔다. 이러한 센서 노드는 인체센서네트워크(Body Sensor Network;BSN)의 개발에 초석이 되며, 향후 이 분야의 급속한 발전을 기대하게 된다. 초 저전력 RF 기술의 발전은 침투식 및 비침투식 장치들이 원격 단말과 데이터 전송을가능케 하며, 환자를 장기간 모니터링하여 의료 전문가에게 실시간으로 피드백 함으로써 건강관리 시스템의 일대 혁신을 일으키고 있다. 본 기고에서는 이식형 의료 장치들간의 무선통신 방법과 BSN 분야에서의 최근 기술적 발전동향에 주안점을 두어, 인체 내장형 및 인체 부착형 통신 네트워크 구조를 파악한 후, 이들 분야에서 미해결 쟁점과 난제에 관하여 분석하였다.

Functional Neural Networks for Self-supervised Image Denoising (Functional Neural Networks 기반의 자기 지도적 영상 잡음 제거)

  • Jang, Yeong;Cho, Nam Ik
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.11a
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    • pp.4-7
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    • 2022
  • 기존 합성곱 신경망 기반의 잡음 제거 네트워크들은 학습을 위한 noisy-clean 데이터 쌍을 필요로 한다. 하지만 실제 카메라 잡음의 경우, 잡음에 대한 깨끗한 원본 영상을 얻는 것은 불가능하거나 많은 비용이 소모된다. 따라서 이러한 방법을 해결하기 위하여 원본 영상 없이 잡음 영상만으로만 잡음 제거 네트워크를 학습하는 방법들이 제안되어왔다. 그 중 카메라 잡음 영상을 처리하기 위한 대표적인 방법으로 학습과 추론에서 비대칭적인 downsampling을 사용하는 AP-BSN이 제안되었다. 본 논문에서는 Functional neural network를 AP-BSN 알고리즘에 적용하여 다양한 downsampling ratio에 대응되는 하나의 네트워크를 학습하였다. 이를 통해 기존 hyperparameter로 사용되던 downsampling ratio에 대한 결과를 하나의 네트워크에서 분석 및 확인하였다. 또한 해당 파라미터를 조절함으로써 다양한 잡음 제거 후보들을 추출하고 사용자가 원하는 잡음 제거 정도를 조정할 수 있도록 하였다.

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Development of ND (Doctor of Nursing) Program: Focused on the RN-BSN Students and Professors (간호학 전문대학원(ND: Doctor of Nursing) 프로그램 개발에 관한 연구 : RN-BSN과정의 학생과 교수를 중심으로)

  • Lee, Won-Hee;Kim, Cho-Ja;Cho, Won-Jung;Yoo, Ji-Soo;Lee, Eun-Hyun
    • The Journal of Korean Academic Society of Nursing Education
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    • v.6 no.1
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    • pp.77-91
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    • 2000
  • Recent changes in health problems as well as the health delivery system demand expanding nursing roles to improve quality care and at the same time provide cost-effective health services. Nursing leaders of the future will be expected to be excellent care givers who are well prepared as researchers and managers and administrators. The purpose of developing an ND program is to train nursing leaders for the future. The program objective are to demonstrate the role as 1) an advanced practitioner who will provide theory based practice 2) a researcher and manager The target population of the ND program is as follows : 1) Nurses with a BSN degree who are seeking to advance on the career ladder 2) Non-nursing BS, BA graduates who are seeking nursing as a second career 3) Transfer students who are mature and motived to be nursing leaders It is believed that the ND program would meet the diverse needs for potential students, for their role in nursing and the health delivery system and create a meaning and challenging position in the profession of nursing. A task force team was organized to develop the ND program and its activities are as follows; 1) Information on ND programs were collected from 3 universities and reviewed 2)An advanced education needs assessment was completed and it was found that 87.6% of the subjects responded positively about advanced degree work. 3) A tentative curriculum for an ND program was developed. It is a great challenge to develop a new program for nursing however, it is also our task and responsibility to further the development of nursing.

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Daily Hassles, Self-Efficacy, and Stress Responses of Adult Learners of Distance Education in Digital Convergence Era -Based on RN-BSN Students (디지털 융복합시대 원격대학 성인학습자의 일상생활스트레스, 자기효능감 및 스트레스반응 -간호학사 특별편입과정 학생을 중심으로)

  • Park, Young-Suk;Kim, Jeong-Hee
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.397-407
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    • 2015
  • The purpose of this study was to investigate the relationships among daily hassles, self-efficacy, and stress responses of RN-BSN (Registered Nurses-Bachelor of Science in Nursing) students in juggling both their jobs and learning as an adult learner of distance education in digital convergence era. The data were collected by a questionnaire from 229 nurses in a RN-BSN course of an open university from October to November, 2013. The mean score of facing task dimension was much higher than the interpersonal dimension score among daily hassles. The academic problem of the facing task and the family relationship of the interpersonal were the highest respectively. The mean score of self-efficacy was slightly higher than the median. Multiple regression showed that perceived health status, workload, occupation satisfaction, and values problem of daily hassles explained 44.2% of stress reponses and values problem was the main factor influencing stress responses. The distance education policies and strategies were required to manage their stress for the adult learners of distance education in digital convergence era.

Study on the Curriculum of Gerontological Nursing - Baccalaureate Degree Programs(BSN) in Korea - (노인간호학 개설현황 및 교과과정 조사연구 - 4년제 간호학과를 중심으로 -)

  • Yun, Eun-Suk
    • The Journal of Korean Academic Society of Nursing Education
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    • v.14 no.2
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    • pp.188-194
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    • 2008
  • Purpose: The purpose of this study was to survey the present status of the gerontological nursing course in Baccalaureate degree programs(BSN) in Korea, so as to provide basic data for developing a standard model for a gerontological nursing curriculum. Method: Data on the contents of a gerontological nursing curriculum was collected from those programs that had a gerontological nursing course. Result: The results show that 48 schools(87.3%) offered a gerontological nursing course. Twenty-five schools(45.5%) had both lectures and clinical practicum, while 23 schools(41.8%) had only lectures. Twenty-seven schools(56%) offered a gerontological nursing course as an elective. Students earned the most number of credits in their senior year. The most common credit system for lecture subjects was 2 credits with 38 schools(79.2%) and a clinical practicum was 1 credit with 20 schools(80%). The issues identified were that gerontological nursing was an elective and not a mandatory course, a lack of clinical lab hours, and a lack of common learning objectives. Conclusion: Recommendations are made for better defined curricula in gerontological nursing. In addition, further investigations of the learners or students entering gerontological nursing to facilitate curriculum development and appropriate instructional strategies are needed.

The Effect of Web-based Multimedia Contents for a Course of Physical Examination and Health Assessment (웹기반 건강사정 멀티미디어 컨텐츠의 학습효과)

  • O Pok-Ja;Kim Il-Ok;Shin Sung-Rae;Jung Hoe-Kyung
    • Journal of Korean Academy of Nursing
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    • v.35 no.5
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    • pp.810-816
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    • 2005
  • Purpose: This study was to test the effectiveness of Web-based multimedia contents for Physical Examination and Health Assessment on learning achievement. Method: Multimedia contents based on Jung's teaching and learning structure model were used to enhance learning achievement. Learning achievement was measured by the knowledge of Physical Examination and Health Assessment. The participants of this study were students in a BSN and RN-BSN program in a university located in Seoul. 59 students in the experimental group received lectures using web-based multimedia contents and 75 students in the control group received regular lectures. Results: The mean score of the degree of educational achievement in the experimental group(mean=31.09) was significantly higher than in the control group(mean=25.55)(t=-3.883, p=.000). Conclusion: These web-based multimedia contents were found to maximizethe effectiveness of the teaching process when used as a teaching aid, and yet kept the strength of a face to face teaching learning method. This program is recommended as part of a main text, vital teaching aid or cyber lecture materials in nursing schools and in health care educational institutions.

Power Efficient Classification Method for Sensor Nodes in BSN Based ECG Monitoring System

  • Zeng, Min;Lee, Jeong-A
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.9B
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    • pp.1322-1329
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    • 2010
  • As body sensor network (BSN) research becomes mature, the need for managing power consumption of sensor nodes has become evident since most of the applications are designed for continuous monitoring. Real time Electrocardiograph (ECG) analysis on sensor nodes is proposed as an optimal choice for saving power consumption by reducing data transmission overhead. Smart sensor nodes with the ability to categorize lately detected ECG cycles communicate with base station only when ECG cycles are classified as abnormal. In this paper, ECG classification algorithms are described, which categorize detected ECG cycles as normal or abnormal, or even more specific cardiac diseases. Our Euclidean distance (ED) based classification method is validated to be most power efficient and very accurate in determining normal or abnormal ECG cycles. A close comparison of power efficiency and classification accuracy between our ED classification algorithm and generalized linear model (GLM) based classification algorithm is provided. Through experiments we show that, CPU cycle power consumption of ED based classification algorithm can be reduced by 31.21% and overall power consumption can be reduced by 13.63% at most when compared with GLM based method. The accuracy of detecting NSR, APC, PVC, SVT, VT, and VF using GLM based method range from 55% to 99% meanwhile, we show that the accuracy of detecting normal and abnormal ECG cycles using our ED based method is higher than 86%.

The Development of Nursing Education Model and The Instrument for Improving Clinical Competence (실무수행능력 중심의 교육모형 및 측정도구 개발)

  • Um Young-Rhan;Suh Yeon-Ok;Song Rha-Yun;June Kyung-Ja;Yoo Kyung-Hee;Cho Nam-Ok
    • The Journal of Korean Academic Society of Nursing Education
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    • v.4 no.2
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    • pp.220-235
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    • 1998
  • The revolution of nursing curriculum has been focused on clinical competency for nursing graduates to flexibly respond to changes in societal health needs and disciplinary requirements. In this trend, the study was designed to identify basic concepts of nursing education that reflects the changes in societal needs and nursing discipline, and to develop the instrument to measure performance level in each dimension of clinical competency. The study was conducted in two phases. In phase 1, principal concepts consisted of nursing education were determined through literature review as well as series of discussion sessions on nursing philosophies and educational objectives among researchers. Though the process, the conceptual framework of competency based nursing curriculum was constructed with nursing process and professional role as horizontal threads, client, health needs, and nursing interventions as vertical threads. Then, items were developed to represent each dimension of competency : client and health need, nursing process, professional role, and nursing interventions. The total of 273 items were included as to represent clinical competency required for BSN graduates. In phase 2, questionnaires were distributed to nursing faculties of 41 BSN programs to validate the 273-item Instrument developed to measure competency. The total of 34 subjects returned the questionnaire with 81% of response rates. The subjects of the study had an average of 42 months of clinical experience and 13 years of education experience in various nursing areas with an age range of 30 to 52 years. The data were analyzed by utilizing SPSSWIN and the results are as follows. 1) The mean score of the nursing process dimension was supported most with the mean of 3.60(SD=0.32) compared to client and health need dimension(M=3.49, SD=.40), professional role(M=3.41, SD=.44), and nursing interventions(M=3.57, SD=.34). 2) The dimensions of competency were moderately correlated to each other with a range of r=.433 to r=.829, confirming that four dimensions of competency were related but distinct concepts. 3) The items of each dimension were analyzed based on its appropriateness. 'Assessing risk factors of the clients' were most highly supported in client and health need dimension. Most items of nursing process dimension were considered appropriate, while items related to efficient communication were well supported in professional role dimension. In nursing intervention dimension, items on basic nursing skills were highly supported while items on specific nursing interventions such as music therapy or art therapy were considered relatively inappropriate to competency for BSN graduates. The findings clearly showed that the current nursing education more emphasizes nursing interventions based on nursing process than other dimensions of competency. There is a need to reconceptualize nursing curriculum that is able to reflect more of nursing professional role and client/health need dimensions. Further research to validate the instrument by confirming competency dimensions of nursing graduates who are currently working at the hospital has been suggested.

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