• Title/Summary/Keyword: SEL

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MarSel : The LD-based Marker Selection System for the Large-scale Datasets (MarSel : Large-scale Dataset에 대한 LD기반의 Marker 선택 시스템)

  • 김상준;여상수;김성권
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.253-255
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    • 2004
  • 인간(human)에게 나타나는 다양성(variation)은 인체의 유전체(genome) 안에서 발생된 SNP(Single Nucleotide Polymorphism)에 의해 나타난다고 알려져 있다. 유전체내의 SNP과 다양성에 대한 연관 연구(Associate study)를 할 때에 약 30여 억 개로 추정되는 염기서열(DNA sequence)물 모두 분석한다면 많은 비용과 시간을 필요로 할 것이다. 이런 비용과 시간을 줄이기 위친 적은 수의 대표 SNP(=tagSNP)을 찾는 연구가 현재 진행 중이다. 우리는 LD계수|D;|을 block 분할에 이용하여 생물학적인 의미를 부여한 후, 전산적인 최적해를 찾는 접근을 이용했다. 또한, 기존 연구에서는 large-scale data에 대한 처리가 불가능해서 chromosome의 일부분의 데이터에 대해서안 분석이 시도되었다. 더욱 광범위한 분석을 위해서 chromosome 단위의 처리가 필요하다. 우리는 chromosome단위의 SNP data를 한 번에 처리가 가능한 시스템인 MarSel를 구현하였다

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A Study on the integrative ways of moral education for the building of children's social awareness and relationship skills (초등학생의 사회인식 및 대인관계 능력 함양을 위한 도덕교육의 통합적인 방안 연구)

  • Lee, In Jae;Chi, Chun-ho
    • The Journal of Korean Philosophical History
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    • no.29
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    • pp.375-396
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    • 2010
  • The aim of this paper is to suggest some ways of moral education for the building of children's social awareness and relationship skills as social and emotional competencies. Based on the social and emotional learning(SEL), this paper is tried to provide the effective ways to develop children's social awareness and relationship skill. According to SEL, social and emotional competence is the ability to understand, manage, and express the social and emotional aspects of one's life in ways that enable the successful management of life tasks such as learning, forming relationships, solving everyday problems, and adapting to the complex demands of growth and development. And it is also the process of acquiring and effectively applying the knowledge, attitudes, and skills necessary to recognize and manage emotions. Five key competencies such as self-awareness, social awareness, responsible decision making, self-management, relationship skills are taught, practiced, and reinforced through SEL programming. Moral education and social and emotional learning have emerged as two prominent formal approaches used schools to provide guidance for students' behavior. social awareness and relationship skills are necessary for succeeding in school, in the family, in the community, in life in general. Equipped with such skills, attitudes and beliefs, young children are more likely to make healty, caring, ethical, and responsible decisions and to avoid engaging in behaviors with negative consequences such as interpersonal violence and bullying.

Effects of Contrast Agent Concentration on the Signal Intensity and Turbo Factor of TSE and Slice-selective IR in T1-weighted Contrast Imaging

  • Han, Yong Soo;Lee, Soo Chul;Lee, Dong Yong;Choi, Jiwon;Lee, Jong Woong;Kweon, Dae Cheol
    • Journal of Magnetics
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    • v.21 no.1
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    • pp.115-124
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    • 2016
  • The present study analyzes T1 TSE and T1 slice sel. IR (dark_fluid) signal strength according to the degree of gadolinium contrast agent dilution and analyzes the turbo factors with regard to changes in the maximum and overall signal strength to study correlations between changes and signal-to-noise ratios (SNRs) and compare peak-to-peak SNR (PSNR) enhancement in order to improve the quality of T1-weighted images. Enhancement TR (600 msec) evaluated to determine the T1 TSE turbo factor and obtain the maximum signal strength, T1WI were used sequentially to experiment with turbo factors_1-4. T1 slice sel. IR (dark-fluid) was used to sequentially test turbo factors_2-5 but not turbo factor_1 at a TR (1500 msec) and compare data at an increase in T1 of 900 msec. The T1 TSE was reduced according to the contrast agent concentration. Phantom signal strength increased, whereas turbo factors_1-4 exhibited maximum signal strength at a concentration of 3 mmol, followed by a gradual decrease. In the turbo factors_2-5, the signal strength increased sharply to maximum signal strength at 0.7 mmol, followed by a reduction. T1 TSE had a greater maximum signal strength than did T1 slice sel. IR (dark_fluid). A comparison of SNR found that T1 TSE imaging was superior (33.3 dB) in turbo factor_1 and T1 slice sel. IR (dark_fluid) was highest (33.9 dB) at turbo factor_5. A PSNR comparison analysis was not sufficient to distinguish between the images obtained with both techniques at 30 dB or higher under all experimental conditions.

Spinal Epidural Lipomatosis Secondary to Hypothyroidism in a Siberian Husky Dog

  • Jeong, Ju-Young;Hwang, Tae-Sung;Song, Kun-Ho;Song, Joong-Hyun
    • Journal of Veterinary Clinics
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    • v.39 no.5
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    • pp.235-239
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    • 2022
  • A 10-year-old neutered male Siberian Husky presented with paraparesis and severe lethargy. On physical examination, the patient was unable to weight-bear and walk and exhibited significant muscle mass loss in both hindlimbs and generalized truncal alopecia with a dull coat of hair. On neurological examination, cranial lumbar vertebral pain, hind limb cross-extensor reflex, delayed hindlimb postural reaction, upper motor neuron bladder dysfunction, and total absence of cutaneous trunci reflex were identified. Computed tomography revealed diffuse idiopathic skeletal hyperostosis and spondylosis deformans of the cervical and thoracolumbar vertebrae. In addition, a generalized decrease in bone mineral density of the vertebrae was identified. Magnetic resonance imaging showed hyperplasia of the epidural fat compressing the spinal cord in the thoracolumbar region and concurrent mild multiple intervertebral disc herniations. No specific findings were observed in cerebrospinal fluid analysis. Blood analysis of thyroid function revealed decreased total T4 and free T4 levels, and increased TSH levels. The patient was tentatively diagnosed with spinal epidural lipomatosis (SEL) secondary to hypothyroidism. The patient was treated with levothyroxine, firocoxib, and gabapentin. Clinical signs gradually improved, and the patient showed normal ambulation 40 days after treatment initiation. SEL is extremely rare in dogs. To the best of our knowledge, this is the first case report of SEL secondary to hypothyroidism that was treated conservatively. Secondary SEL can be sufficiently managed by treating the underlying cause, if possible.

Recycling of Acidic Etching Waste Solution Containing Heavy Metals by Nanofiltration (I): Evaluation of Acid Stability of Commercial Nanofiltration Membranes (나노여과에 의한 중금속 함유 산성 폐에칭액의 재생(I): 상용 나노여과 막의 산 안정성 평가)

  • Youm, Kyung-Ho;Shin, Hwa-Sup;Jin, Cheon-Deok
    • Membrane Journal
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    • v.19 no.4
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    • pp.317-323
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    • 2009
  • In this study the nanofiltration (NF) membrane treatment of a nitric acid waste solutions containing $Pb^{+2}$ heavy metal ion discharging from the etching processes of an electronics and semiconductors industry has been studied for the purpose of recycling of nitric acid etching solutions. Three kinds of NF membranes (General Electric Co. Duraslick NF-4040 membrane, Dow Co. Filmtec LP-4040 membrane and Koch Co. SelRO MPS-34 4040 membrane) were tested for their separation efficiency (total rejection) of $Pb^{+2}$ ion and membrane stability in nitric acid solution. NF experiments were carried out with a dead-end membrane filtration laboratory system. The membrane permeate flux was increased with the increasing storage time in nitric acid solution and lowering pH of acid solution because of the enhancing of NF membrane damage by nitric acid. The membrane stability in nitric acid solution was more superior in the order of Filmtec LP-4040 < Duraslick NF-4040 < SelRO MPS-34 4040 membrane. The total rejection of Pb+2 ion was decreased with the increasing storage time in nitric acid solution and lowering the pH of acid solution. The total rejection of $Pb^{+2}$ ion after 4 months NF treatment was decreased from 95% initial value to 20% in the case of Duraslick NF-4040 membrane, from 85% initial value to 65% in the case of SelRO MPS-34 4040 membrane and from 90% initial value to 10% in the case of Filmtec LP-4040 membrane. These results showed that SelRO MPS-34 4040 NF membrane was more suitable for the treatment of an acidic etching waste solutions containing heavy metal ions.

Effects of Out-of-school STEAM Programs Based on Social-Emotional Learning (사회정서학습 기반의 학교 밖 STEAM 프로그램의 효과)

  • Lee, Hyunjoo;Lee, Soo-Yong;Jung, Jaeeun;Lee, Saebyoul;Choi, Eunhye;Kwak, E-Rang;Kim, Younghwa;Chang, Hyewon
    • Journal of Korean Elementary Science Education
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    • v.41 no.4
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    • pp.740-753
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    • 2022
  • This study was conducted to develop and apply an out-of-school STEAM program model based on Social-Emotional Learning (SEL) for underprivileged students in the lower grades. To this end, a STEAM program based on SEL was developed, with the following characteristics. First, by integrating traditional STEAM learning elements and SEL elements, a structured program was designed with consistent stages, including mindfulness meditation→present an authentic situation→creative design→emotional experiences→reflection. Second, the program was structured so that elementary school students could develop mathematical thinking and scientific inquiry skills in problem-solving situations in daily life. Third, the detailed themes for each STEAM program involved storytelling-based problem situations, as well as activities centered on play and sympathy to reflect the educational needs of underprivileged students. From these characteristics, a total of five programs were developed and applied to 16 teachers and 354 lower-grade elementary school students in 16 community children centers nationwide. The results were as follows. First, while students' satisfaction with the STEAM program was 4.16, there were no significant differences in STEAM satisfaction according to gender. Second, while all students' interest and self-efficacy, which was one of sub factors of STEAM attitude, were significantly improved, no significant difference was seen in STEAM attitudes according to gender. Third, although students' SEL competencies were not significantly improved, relationship skills, which were among the sub factors of SEL competencies, were significantly improved, and there were no significant differences in SEL competencies according to gender. From these results, a discussion on the effect of the out-of-school STEAM program for underprivileged students and directions for follow-up studies was suggested.

PROMISE: A QR Code PROjection Matrix Based Framework for Information Hiding Using Image SEgmentation

  • Yixiang Fang;Kai Tu;Kai Wu;Yi Peng;Yunqing Shi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.471-485
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    • 2023
  • As data sharing increases explosively, such information encoded in QR code is completely public as private messages are not securely protected. This paper proposes a new 'PROMISE' framework for hiding information based on the QR code projection matrix by using image segmentation without modifying the essential QR code characteristics. Projection matrix mapping, matrix scrambling, fusion image segmentation and steganography with SEL(secret embedding logic) are part of the PROMISE framework. The QR code could be mapped to determine the segmentation site of the fusion image as a binary information matrix. To further protect the site information, matrix scrambling could be adopted after the mapping phase. Image segmentation is then performed on the fusion image and the SEL module is applied to embed the secret message into the fusion image. Matrix transformation and SEL parameters should be uploaded to the server as the secret key for authorized users to decode the private message. And it was possible to further obtain the private message hidden by the framework we proposed. Experimental findings show that when compared to some traditional information hiding methods, better anti-detection performance, greater secret key space and lower complexity could be obtained in our work.

The Effect of Social Emotion Learning on Teacher character of Specialized Pre-service teacher (특성화고 예비교사 대상의 사회정서학습(SEL) 프로그램 개발 및 적용 효과 분석)

  • Kim, Minwoong;Park, Jeyoung;Choi, Jinsun;Kim, Minjung;Kim, Taehoon
    • 대한공업교육학회지
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    • v.42 no.2
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    • pp.47-66
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    • 2017
  • As the necessity of humanistic education has recently been socially emphasized, aptitude and character test has been conducted in the stage of training instructors to focus on making them equipped with proper ability of humanistic education. Especially, considering characteristics of students in specialized high schools with stronger negative concept of ego along with higher proportion of students looking for job in early ages compared to regular high schools, instructors in specialized high schools need to pay more attention on humanistic education of students compared to those in regular high schools. Therefore, this study has developed social emotion learning (SEL) of preliminary teachers in specialized high schools and analyzed the influence of developed programs on characters in teaching positions of preliminary instructors in specialized high schools. In this study, ADDIE model has been used developing SEL programs, and developed programs were comprised of total six sessions. Social emotion learning has been performed on 27 preliminary teachers in experiment group, and regular academic education courses were given on 30 preliminary teachers in control group. At this time, as for class contents, 'self-recognition' has been dealt with in the first and second sessions followed by 'self-management' in the second and third sessions, 'adjustment in relationship' in the fourth session, 'responsible decision making' in the fifth session, and 'personal relationship' in the sixth session. Classes have been conducted for 90 minutes in average. Since intentional sampling method has been used in this study, difference of pre-scores between groups might influence on the difference on post-scores. Therefore, ANCOVA that adjusted the pre-scores to be consistent has been utilized. As a result, there was a significant difference on the post-scores in characters in teaching positions between experiment group and control group.

A study of relationship between stomach cancer and selenoproteins in Korean human blood serum (한국인 혈청에서의 셀레노 단백질과 위암과의 상관관계 연구)

  • Park, Myungsun;Pak, Yong-Nam
    • Analytical Science and Technology
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    • v.28 no.6
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    • pp.417-424
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    • 2015
  • In this study, the relationship between selenoprotein concentrations in blood and stomach cancer have been searched for Korean. The concentration of each selenoprotein in blood serum was analyzed and the correlation between the concentration and stomach cancer was studied to find a potential for using Selenium as a biomarker. In concentration determination, a simple calibration curve method was used with the monitoring of m/z 78 without the use of solid phase extraction. This is a lot more simple than the method using SPE with post column isotope dilution. The result obtained from the analysis of CRM BCR-637, 72.20±3.35 ng·g−1, showed similar value of reference value (81±7 ng·g−1). The total concentration of Se for the controlled group, cardiovascular patients group, was 105.70±21.20 ng·g−1. This value was the same as normal healthy person reported earlier. Each selenoprotein concentration of GPx, SelP and SeAlb was 26.12±7.84, 65.15±14.50, 14.43±6.99 ng·g−1, respectively. The distribution of each selenoprotein was 24.7%, 61.6%, and 13.7%, which was similar to the normal person. The result of stomach cancer patients, the total concentration of Se was 76.11±28.12 ng·g−1 and each concentration of GPx, SelP and SeAlb was 15.41±9.01, 50.83±17.91, and 9.87±5.21 ng·g−1, respectively. The total and each selenoprotein concentration level showed significant decrease for the stomach cancer patients. The level of decrease was 41.0% for GPx, 22.0% for SelP, and 31.6% for SeAlb. However, the distribution of each selenoprotein was not much different. Either total Selenium or each selenoprotein could be used as a possible index for the diagnosis of cancer. However, in age group study, it is shown that young age group (30's-40's) did not show much difference.

Feature Selection Deep Learning Model considering Time Series Prediction (시계열 예측을 고려한 속성 선택 딥러닝 모델)

  • Park, Kwang Ho;Munkhdalai, Lkhagvadorj;Ryu, Keun Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.509-512
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    • 2021
  • 최근 다양한 시계열 데이터의 분석이 딥러닝 방법을 통하여 수행되고 있다. 주로 RNN과 LSTM을 이용하여 많은 시계열 예측이 이루어지고 있다. 하지만 이러한 예측모델을 생성하는데 가장 중요한 것은 어떠한 변수를 얼마나 사용하는지가 중요하다. 이에 대하여, 본 연구에서는 3개의 신경망을 적용하여, 속성을 선택하는 Selection MLP, 속성에 가중치를 부여하는 Extraction MLP 그리고 예측을 진행하는 Prediction MLP로 이루어진 MLP-SEL 구조를 제안한다. 비교를 위하여 다른 순환 신경망에 대하여 시계열 데이터에 대한 예측을 진행하였으며, 그 결과 우리가 제안한 MLP-SEL 모델의 시계열 예측이 좋은 성능을 보였다.