• Title/Summary/Keyword: Group Context

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Moving towards Evidence-Based Clinical Practice Guidelines

  • Jung, Jae Hung;Franco, Juan VA;Dahm, Philipp
    • Urogenital Tract Infection
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    • v.13 no.3
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    • pp.45-50
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    • 2018
  • The Institute of Medicine in its report "Clinical Practice Guidelines we can trust" defined standards for clinical practice guidelines. However, many guidelines continue to rely on expert opinion and lack a formal framework for moving from evidence to recommendations. These guidelines may or may not be labeled as "consensus statements" and do not meet contemporary standards for guideline documents we would refer to as "evidence-based". Therefore, the Grading of Recommendations Assessment, Development and Evaluation working group developed a novel, rigorous and transparent approach to grading certainty (quality) of evidence. In addition, it created a system for "moving from evidence to decisions", for example for the development of evidence-based guidelines. In this article, we aim to introduce this approach to appraising the certainty of relevant evidence and estimate the benefits and detriments of health care interventions within the larger context of evidence-based medicine.

Intra Coding Tools of Enhanced Compression beyond VVC Capability

  • Kim, Bumyoon;Jeon, Byeungwoo
    • Journal of Broadcast Engineering
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    • v.27 no.7
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    • pp.985-998
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    • 2022
  • Even after the standardization of VVC completed in 2020, continuing efforts for developing even better video coding technology are still under way. In this context, the Joint Video Experts Group (JVET) is developing various video compression technologies under the name of enhanced compression beyond VVC capability which has reported BDBR gain of -6.75%, -14.05%, and -15.25% on its test model, ECM version 5.0, respectively in Y, Cb, and Cr channels by just having a few new or improved intra coding tools. The current activity has so far adopted 11 intra coding tools beyond VVC which can generate more sophisticated predictors, reduce signaling overhead, or combine various predictors. In this tutorial paper, we will review these techniques.

The Effect of Supply Chain Dynamic Capability on Competitiveness and Business Efficiency of Vietnamese Wood Enterprises

  • NGUYEN, Binh Thi;MAI, Anh Thi Van
    • Journal of Distribution Science
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    • v.20 no.2
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    • pp.31-41
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    • 2022
  • Purpose: Developing and nurturing supply chain dynamic capability is one of the leading solutions to create competitive advantages, maintain growth and sustainable development for businesses. The study was conducted to experimentally confirm the impact of supply chain dynamic capability on competitiveness and business efficiency for Vietnamese wood enterprises. Research design, data and methodology: The study surveyed 236 managers of Vietnamese wood manufacturing and distribution enterprises. The authors applied the structural equation modeling (SEM) to analyze the relationship between the dynamic capability of the supply chain and the competitiveness, business efficiency of enterprises to achieve those goals. Results: The results show that businesses owning supply chain dynamic capability will have better competitiveness and business efficiency. Especially, in the context of Vietnamese wood sector, the larger the scale of business, the more profound the impact of supply chain dynamic capability on competitiveness and business efficiency. Conclusions: Focusing on developing supply chain dynamics would be a promising solution to improve the competitiveness of Vietnam's wood enterprises in the global market.

A Study on the Robot Grouping based on Context Awareness for Performing Collaborative Task (협력적 작업수행을 위한 상황인지 기반의 Robot Grouping에 관한 연구)

  • Suh, Joo-hee;Woo, Chong-woo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.31-34
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    • 2009
  • 유비쿼터스 환경에서 상황인지 능력을 가진 지능적 컴퓨팅 개체들 중 사람에게 의존적이지 않고 독립적으로 행동할 수 있는 개체는 유비쿼터스 로봇으로 볼 수 있다. 이러한 로봇은 최근 상호협력 함으로서 보다 최적화된 서비스를 제공하는 연구가 진행되고 있으며, 또한 다수의 로봇이 포함된 환경일 때는 특정한 작업을 수행하기 위하여 특정 로봇의 선별에 관한 연구가 진행 중이다. 본 논문에서는 유비쿼터스 환경에서 서로 다른 기능과 구조를 가지고 있는 지능형 로봇들이 협력하여 특수한 상황이나 임무를 그룹으로 대처할 수 있는 로봇 그룹핑을 설계하고 이를 구현한 결과에 대하여 기술한다. 다수의 로봇 중에서 특정 임무수행을 위한 로봇의 선별 알고리즘은 Entropy를 이용하여 결정 트리를 생성하였다. 또한 Grouping을 위한 Group Layer를 설계하여 구현하였다.

Applying design thinking to the educational problems: A student-centered instructional approach and practice in an undergraduate course

  • CHA, Hyunjin
    • Educational Technology International
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    • v.20 no.1
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    • pp.83-107
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    • 2019
  • The aim of this study is to provide the values and descriptive implications of the Design Thinking (DT) method into the context of educational problems of practice in an undergraduate course. To achieve the research objective, both quantitative and qualitative studies were conducted. For the qualitative study, the student's productions and reflections on the experience of the application of the DT into educational problems were analyzed. For the quantitative research, one-group pre and post-test were designed to validate the effectiveness of the DT method into educational contexts in terms of creativity level to measure the student's Creativity Potential and Practiced Creativity, Academic Self-Efficacy Scale, and Problem-Solving Inventory. This study validated that the DT method had a statistically significant influence on those three competencies and also illustrated the detailed process from a qualitative viewpoint. The results and implications reflect the potential of the DT approach with the educational problem of practice, especially, in the ill-structured problem-solving contexts for student-centered instructional setting.

Development of Context and Vocabulary Group-Based Intelligent English Vocabulary Learning System (문맥 및 어휘 그룹 기반의 지능형 영어 어휘 학습 시스템의 개발)

  • Do-Hyeon Kim;Hong-Jun Jang;Byoungwook Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.19-20
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    • 2023
  • 영어 교육 시장 확대로 다양한 영어 학습 시스템이 개발되고 있다. 그러나 어휘의 문맥적 이해와 효과적인 학습 방법을 결합한 지능형 어휘 학습 시스템에 대한 연구는 미비하다. 본 연구에서는 임의의 n 개 영어 단어가 한 그룹으로 제시되고, 이들을 모두 포함한 예문을 제공하는 지능형 영어 어휘 학습 시스템을 개발한다. 본 연구에서는 임의의 n 개 영어 단어가 주어졌을 때 문맥에 맞는 영어 예문을 자동으로 생성하는 모델을 개발하였다. 어휘 평가를 바탕으로 자동으로 취약 어휘를 선정하며 학습자들이 해당 어휘를 학습 할 수 있도록 진행한다. 본 연구에서 개발한 지능형 영어 어휘 학습 시스템의 사용성 평가를 위해 설문 검사를 실시하였다. 설문 결과는 문맥 및 어휘 그룹 기반의 지능형 영어 학습 시스템은 사용자들이 사용하기 편리하고 어휘 능력을 향상시키는데 도움이 될 수 있음을 보여준다.

A Study on the Characteristics of Contemporary Chinese Painting from Micro Perspective

  • Tian Yuan
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.108-115
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    • 2024
  • Contemporary Chinese "micro-perspective" painting is an artistic phenomenon that we cannot ignore. It is the young artists who focus on themselves and their communities, record their stories and emotions in their life fragments into the coming history, and diary paintings as "micro-perspective" paintings allow "marginal people" to find their place. Based on the analysis of the aesthetic form and aesthetic characteristics of Chinese contemporary art, this paper explores the three aesthetic dimensions and their inherent aesthetic value, and explains its significance from the perspective of "micro-view" aesthetics. In the contemporary context, "micro-perspective" painting has become a unique cultural phenomenon, a consciousness situation. However, this phenomenon has a very unique artistic value and cultural value for the youth art group and even the formation of aesthetic culture and zeitgeist in China's current society.

The Development of Usability Evaluation for Wearable Computer: An Investigation of Smart Clothing (웨어러블 컴퓨팅 사용성 평가 척도 개발 - 스마트 웨어 적용사례를 중심으로 -)

  • Chae, Haeng-Suk;Hong, Ji-Young;Cho, Hyun-Seung;Lee, Young-Jin;Park, Sun-Hyung;Han, Kwang-Hee;Lee, Joo-Hyeon
    • Science of Emotion and Sensibility
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    • v.9 no.spc3
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    • pp.265-276
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    • 2006
  • The purpose of this paper is to develop usability evaluation tool for wearable computer. In this paper, we propose evaluation factor and object through context evaluation in the real environment. The basic idea of this process is to know the thought from wearable user. Also, we gathered the opinion from expert group. As a result, we adopted evaluation question categories. By examining some empirical data which is obtained from observation and wearability evaluation, we conclude usability evaluation of wearable computer, including smart clothing. The design process in creating a successful wearable usability is no longer about providing technical success, rather about creating a optimal user experience.

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Rearranging Everyday Lives among People with Type 2 Diabetes in Korea

  • Yi, Myungsun;Koh, Moonhee;Son, Haeng-Mi
    • Korean Journal of Adult Nursing
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    • v.26 no.6
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    • pp.703-711
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    • 2014
  • Purpose: The purpose of the study was to understand what are the experiences and management of type 2 diabetes in everyday lives among Korean people. Methods: A grounded theory method was utilized to explore how people with type 2 diabetes to experience and manage their disease under the Korean socio-cultural context. The data were collected via narrative in-depth interviews with 21 people with type 2 diabetes during 2010-2011 and all interviews were transcribed for verbatim analysis. Results: The core category was 'Rearranging everyday lives by accepting diabetes as lifelong annoying companion.' Four stages were identified: ignoring; struggling compromising and conciliating. Each stage illustrates major problems and/or strategies that the participants face in dealing with diabetes. The process illustrates the transference from their ordinary life, in which diabetes or health was ignored, to the health-oriented life, within which diabetes is integrated into their lives. The most difficult barriers they faced in everyday lives include social stigma of diabetes and collectivistic culture in Korea. Within the culture, the group goals are concerned over individual ones, making it harder for the participants to take care of their own health. Conclusion: The findings of the study imply that health care professionals may consider the influence of social stigma in caring diabetic patients. Also, the intervention study is warranted to educate Korean people with diabetes to get aware of the sociocultural context and stigma as well as personal difficulties in self-caring diabetes.

Lossless Compression for Hyperspectral Images based on Adaptive Band Selection and Adaptive Predictor Selection

  • Zhu, Fuquan;Wang, Huajun;Yang, Liping;Li, Changguo;Wang, Sen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.8
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    • pp.3295-3311
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    • 2020
  • With the wide application of hyperspectral images, it becomes more and more important to compress hyperspectral images. Conventional recursive least squares (CRLS) algorithm has great potentiality in lossless compression for hyperspectral images. The prediction accuracy of CRLS is closely related to the correlations between the reference bands and the current band, and the similarity between pixels in prediction context. According to this characteristic, we present an improved CRLS with adaptive band selection and adaptive predictor selection (CRLS-ABS-APS). Firstly, a spectral vector correlation coefficient-based k-means clustering algorithm is employed to generate clustering map. Afterwards, an adaptive band selection strategy based on inter-spectral correlation coefficient is adopted to select the reference bands for each band. Then, an adaptive predictor selection strategy based on clustering map is adopted to select the optimal CRLS predictor for each pixel. In addition, a double snake scan mode is used to further improve the similarity of prediction context, and a recursive average estimation method is used to accelerate the local average calculation. Finally, the prediction residuals are entropy encoded by arithmetic encoder. Experiments on the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) 2006 data set show that the CRLS-ABS-APS achieves average bit rates of 3.28 bpp, 5.55 bpp and 2.39 bpp on the three subsets, respectively. The results indicate that the CRLS-ABS-APS effectively improves the compression effect with lower computation complexity, and outperforms to the current state-of-the-art methods.