• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.57-71
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• 2022

The purpose of this study was to analyze the perception and demand of local youth and to find ways to support universities in order to create an youth start-up ecosystem. To this end, 509 young people living in Seoul were analyzed to recognize and demand young people in the region for youth start-ups, and to support universities. The findings are as follows. First, as a result of analyzing young people's perception of youth start-ups in the region, the "Youth Start-up Program" was analyzed the highest in terms of the demand for regional programs by university. In addition, there was a high perception that the image of youth startups in the region was "challenging" and "good for changing times." Second, after analyzing the demand for support for youth start-ups in the region, it appeared in the order of mentoring, start-up education, and creation of start-up spaces. And it showed different needs for different ages. Third, the results were derived from analysis of the demand for university support for the creation of a regional youth start-up ecosystem, the criteria for selecting local youth start-up support organizations, and the period of participation in local youth start-up support. Based on the results of the above research, the implications and suggestions of university support for the creation of a community of youth start-up ecosystem are as follows. First of all, it is necessary to develop and operate sustainable symbiosis mentoring programs focusing on university's infrastructure and regional symbiosis. Second, it is necessary to develop and utilize step-by-step systematic microlearning content based on the needs analysis of prospective youth start-ups. Third, it is necessary to form an open youth start-up base space for local residents in universities and link it with the start-up process inside and outside universities. The results of this study are expected to be used as basic data for establishing policies for supporting youth start-ups and establishing and operating strategies for supporting youth start-ups at universities.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.45-56
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• 2015

This article examines the effects of a long term robot based instruction on the creativity of elementary students. To explain these effects, we conducted similar creativity test twice to 237 students of schools which had been designated as a robot based instruction model from 2011 to 2012. From these test results, the following three conclusions may be drawn: (1) The creativity of students who had participated in long term robot based instruction increased significantly, especially after the first test. (2) The fluency and originality as two of the sub-creativity factors are also accelerated significantly, especially after the first test. (3) The creativity of male and female students are all improved significantly but the test period factor and the interaction factor between male and female are not significant. (4) All elementary students of the lower grades(1st and 2nd grades), middle grades(3rd and 4th grades) and higher grades(5th and 6th grades) increased significantly but the test period factor and the interaction factor between the grades were not significant. On the other hand, the creativity improvement between lower-middle grades and higher grades is significant.

• Journal of the Korean Society of Radiology
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• v.83 no.2
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• pp.344-359
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• 2022

Purpose To develop a denoising convolutional neural network-based image processing technique and investigate its efficacy in diagnosing breast cancer using low-dose mammography imaging. Materials and Methods A total of 6 breast radiologists were included in this prospective study. All radiologists independently evaluated low-dose images for lesion detection and rated them for diagnostic quality using a qualitative scale. After application of the denoising network, the same radiologists evaluated lesion detectability and image quality. For clinical application, a consensus on lesion type and localization on preoperative mammographic examinations of breast cancer patients was reached after discussion. Thereafter, coded low-dose, reconstructed full-dose, and full-dose images were presented and assessed in a random order. Results Lesions on 40% reconstructed full-dose images were better perceived when compared with low-dose images of mastectomy specimens as a reference. In clinical application, as compared to 40% reconstructed images, higher values were given on full-dose images for resolution (p < 0.001); diagnostic quality for calcifications (p < 0.001); and for masses, asymmetry, or architectural distortion (p = 0.037). The 40% reconstructed images showed comparable values to 100% full-dose images for overall quality (p = 0.547), lesion visibility (p = 0.120), and contrast (p = 0.083), without significant differences. Conclusion Effective denoising and image reconstruction processing techniques can enable breast cancer diagnosis with substantial radiation dose reduction.