• 제목/요약/키워드: Enrollment

검색결과 293건 처리시간 0.026초

Sequential patient recruitment monitoring in multi-center clinical trials

  • Kim, Dong-Yun;Han, Sung-Min;Youngblood, Marston Jr.
    • Communications for Statistical Applications and Methods
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    • 제25권5호
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    • pp.501-512
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    • 2018
  • We propose Sequential Patient Recruitment Monitoring (SPRM), a new monitoring procedure for patient recruitment in a clinical trial. Based on the sequential probability ratio test using improved stopping boundaries by Woodroofe, the method allows for continuous monitoring of the rate of enrollment. It gives an early warning when the recruitment is unlikely to achieve the target enrollment. The packet data approach combined with the Central Limit Theorem makes the method robust to the distribution of the recruitment entry pattern. A straightforward application of the counting process framework can be used to estimate the probability to achieve the target enrollment under the assumption that the current trend continues. The required extension of the recruitment period can also be derived for a given confidence level. SPRM is a new, continuous patient recruitment monitoring tool that provides an opportunity for corrective action in a timely manner. It is suitable for the modern, centralized data management environment and requires minimal effort to maintain. We illustrate this method using real data from two well-known, multicenter, phase III clinical trials.

대구지역 암등록사업의 효율적 수행방안 (The Efficient Methods of Population-based Cancer Registration in Daegu City)

  • 진대구;천병렬;안순기;김종연;감신
    • Journal of Preventive Medicine and Public Health
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    • 제35권4호
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    • pp.322-330
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    • 2002
  • Objective: This study was conducted to automatically improve the completeness and validity of the Daegu Cancer Registry, using cross record linkage of many data sources, and to develop a computerized patient enrollment system for efficient communication among cancer researchers via the internet. Method: We analyzed 10,229 cancer patients who were reported in the National Cancer Registry, and from pathological reports, health insurance cancer claims lists, cancer patient records at hospital information centers and death certificates from the Korea National Statistical Office. Result: We confirmed 4,624 cancer patients and found 897 of new cases from a review of medical chart. The new cases were detected efficiently using cross record linkage. We developed a computerized patient enrollment system, based on a client-sewer model, for the input of cancer patients, and then developed a web-based reporting homepage and patient enrollment system for the internet. Conclusion: This system could manage cancer databases systematically, and could be given to other researchers as a basic database.

Factors Affecting Students' Decision to Choose Regional Public Universities: An Empirical Study from Vietnam

  • LE, Thi Thanh Thuy;TRAN, Minh Tuan;LE, Hoang Ba Huyen
    • The Journal of Asian Finance, Economics and Business
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    • 제9권4호
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    • pp.143-152
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    • 2022
  • The purpose of this paper is to investigate the impact of several factors on students' decisions to attend a public institution in Vietnam's North Central area. The enrollment issue toward regional institutions is particularly critical in the Vietnam Ministry of Education and Training reforming the university enrollment process and the complicated scenario of the Covid-19 pandemic. A total of 500 students were surveyed for research samples. Data is synthesized, validated, cleaned, and analyzed using SPSS and AMOS software using methods including reliability, EFA, CFA, and SEM. The findings suggest that the proposed independent components (individual factors, study fees, advertisement, infrastructure and facilities, local features, and lastly, training activities) have a beneficial impact on students' decision to attend a public university in the North Central region. The study also found that the graduation exam outcome had a moderating effect on the relationship between registration and students' decisions. These imply targeted solutions for regional public universities to diversify training majors, improve training quality, capitalize on local advantages, increase interaction, and promote training programs and image to be more effective in attracting students and maintaining competition in the current enrollment environment.

어린이집 운영상 어려움의 예측 요인 탐색: 원장보고를 중심으로 (Exploring Predictors Affecting Difficulties in Operating Childcare Centers: Focusing on Directors' Reports)

  • 신나리;김경화;윤현정;노필순;송지은
    • 한국보육지원학회지
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    • 제18권4호
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    • pp.17-36
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    • 2022
  • Objective: The purpose of this study is to examine the relationship between structural and process difficulties experienced by childcare center directors in operating childcare centers and to explore characteristics of childcare centers that affect the path. Methods: The participants were 309 childcare center directors, and data were collected through a mobile survey method. Descriptive statistics and SEM were implemented using SPSS and AMOS. Results: Unsupported childcare centers and capacity aggravated structural difficulties in operation of childcare centers, while the number of enrolled children and the enrollment rate reduced such difficulties that were reported by directors. In the case of labor cost supported centers and childcare centers with a high enrollment rate reported a high level of process difficulties. Because the effect of structural difficulties on process difficulties were significant, the indirect influences of structural difficulties that mediated the influences of general background characteristics on process difficulties were also significant. Conclusion/Implications: This study shows that difficulties in operating childcare centers could be considered in terms of structure and process aspects. This study is also meaningful in that it suggests that the characteristics of individual childcare centers should be emphasized in a customized way to alleviate such difficulties.

장애친화적 캠퍼스를 위한 교육복지시설에 관한 연구 (A Study on the Educational Welfare Facilities for Disability-friendly Campus)

  • 김학철
    • 한국농촌건축학회논문집
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    • 제24권4호
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    • pp.25-32
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    • 2022
  • The purpose of this study is to provide design guidelines necessary for creating disability-friendly campuses. To this end, a literature survey and a survey on the current educational welfare facilities for disabled college students were conducted. The fact-finding survey was conducted in writing and visiting evaluations on 19 campuses located in Gangwon-do(province). The results of this study are summarized as follows: 1) The college enrollment rate of the disabled has doubled since 2000, but it was found to be half of the enrollment rate based on school enrollment, and the number of students who gave up in the middle is increasing. This is due to an obstacle in the learning environment, so it is necessary to improve welfare facilities. 2) As a result of evaluating the status of educational welfare support for students with disabilities, it was found that the overall evaluation result was improved, but the absolute evaluation result was less than 70%, and it was not improved. 3) As a result of evaluating the actual conditions of the intermediate facilities, indoor facilities, sanitary facilities, guidance and other facilities, and unit spaces, it is necessary to expand and improve them due to the lack of disabled parking marks, continuity of access roads, pedestrian safety passages, lifts, and rest areas for the disabled.

Proposal of a Hypothesis Test Prediction System for Educational Social Precepts using Deep Learning Models

  • Choi, Su-Youn;Park, Dea-Woo
    • 한국컴퓨터정보학회논문지
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    • 제25권9호
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    • pp.37-44
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    • 2020
  • AI 기술은 법률, 특허, 금융, 국방의 의사결정지원 기술 형태로 발전하여 질병 진단과 법률 판정 등에 적용되고 있다. Deep Learning으로 실시간 정보를 검색하려면, Big data Analysis과 Deep Learning Algorithm이 필요하다. 본 논문에서는 Deep Learning 모델인 RNN(Recurrent Neural Network)을 이용하여 상위권 대학 진학률을 예측하고자 한다. 우선, 행정구역 사설학원 현황과 행정구역 연령별 학생 수를 분석하고 교육열이 높은 지역에 거주하는 학생이 상위권 대학 진학률이 높다는 사회 통념의 가설을 설정했다. 예측된 가설과 정부의 공공데이터를 활용하여 분석된 자료를 토대로 검증하고자 한다. 예측모델은 2015년부터 2017년까지의 데이터를 활용하여 상위권 진학률을 예상하도록 학습하고, 학습된 모델은 2018년 상위권 진학률을 예측한다. 교육특구지역의 상위권 진학률을 Deep Learning 모델인 RNN을 이용하여 예측 실험을 수행했다. 본 논문은 교육열이 높은 지역의 사설학원 현황, 연령별 학생 수에 미치는 영향에 대해서 가구소득, 사교육의 참여 비율을 분석하여 상위권 진학률의 상관관계를 정의한다.

Achieving Faster User Enrollment for Neural Speaker Verification Systems

  • Lee, Tae-Seung;Park, Sung-Won;Lim, Sang-Seok;Hwang, Byong-Won
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.205-208
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    • 2003
  • While multilayer perceptrons (MLPs) have great possibility on the application to speaker verification, they suffer from inferior learning speed. to appeal to users, the speaker verification systems based on MLPs must achieve a reasonable enrolling speed and it is thoroughly dependent on the fast learning of MLPs. To attain real-time enrollment on the systems, the previous two studies have been devoted to the problem and each satisfied the objective. In this paper the two studies are combined md applied to the systems, on the assumption that each method operates on different optimization principle. By conducting experiments using an MLP-based speaker verification system to which the combination is applied on real speech database, the feasibility of the combination is verified from the results of the experiments.

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여성의 노후소득보장을 위한 국민연금제도의 개선방안 (A Study on Improvement of National Pension System for Ensuring Elderly Women's Incomes)

  • 이재희
    • 한국생활과학회지
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    • 제13권4호
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    • pp.555-568
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    • 2004
  • The current national pension system tends to be sexually discriminatory in that it excludes elderly women. It is because the system is based on family incomes usually earned by men. Considering structural changes in a family - for example, a growing divorce rate, an increasing number of unmarried couples living together, and broken families - and socio-economic changes - such as an improved level of women's education and more female participation in economic activities, this paper will make some suggestions as follows: 1) to introduce basic pension system which guarantees incomes for the elderly with "one pension per person" policy; 2) to enlarge voluntary enrollment; 3) to implement pension credit system which pays women allowances for childbirth and upbringing; 4) to improve ways of allotting retirement pension of a husband; also to provide for an elderly woman both divided pension that derives from her husband's pension and an old-age pension of her own.

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PLDA 모델 적응과 데이터 증강을 이용한 짧은 발화 화자검증 (Short utterance speaker verification using PLDA model adaptation and data augmentation)

  • 윤성욱;권오욱
    • 말소리와 음성과학
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    • 제9권2호
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    • pp.85-94
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    • 2017
  • Conventional speaker verification systems using time delay neural network, identity vector and probabilistic linear discriminant analysis (TDNN-Ivector-PLDA) are known to be very effective for verifying long-duration speech utterances. However, when test utterances are of short duration, duration mismatch between enrollment and test utterances significantly degrades the performance of TDNN-Ivector-PLDA systems. To compensate for the I-vector mismatch between long and short utterances, this paper proposes to use probabilistic linear discriminant analysis (PLDA) model adaptation with augmented data. A PLDA model is trained on vast amount of speech data, most of which have long duration. Then, the PLDA model is adapted with the I-vectors obtained from short-utterance data which are augmented by using vocal tract length perturbation (VTLP). In computer experiments using the NIST SRE 2008 database, the proposed method is shown to achieve significantly better performance than the conventional TDNN-Ivector-PLDA systems when there exists duration mismatch between enrollment and test utterances.

Educational Status in Bilateral Prelingual Deaf Children with Cochlear Implantation

  • Bae, Seong Hoon;Kwak, Sang Hyun;Nam, Gi-Sung;Choi, Jae Young
    • Journal of Audiology & Otology
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    • 제23권3호
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    • pp.135-139
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    • 2019
  • Background and Objectives: This study was undertaken to investigate the educational status in bilateral prelingual deaf children with a cochlear implant (CI), also known as early cochlear implantees (CIs). Type of schooling and enrollment rate of tertiary education were analyzed as primary results. Subjects and Methods: Participants in this study comprised a highly homogeneous group of deaf patients who underwent cochlear implantation at a similar age. Sixty-four Korean patients were enrolled. Statistical data for disabled populations and the general population were obtained from the National Statistics Korea. Results: Among 64 patients, 46, 8, and 10 attended mainstream, integrated, and special schools, respectively. Notably, there was a significant difference in the type of school between hearing-impaired and CI groups (p=0.007). Ten of 13 patients enrolled in tertiary education. Conclusions: CI users were more likely than hearing impaired students to attend mainstream school. The enrollment rate of CI users in tertiary education was the same as that of the general population.