• Title/Summary/Keyword: Adult-Image

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Cerebellar Pilocytic Astrocytomas with Spontaneous Intratumoral Hemorrhage in Adult

  • Kim, Min-Su;Kim, Sang-Woo;Chang, Chul-Hoon;Kim, Oh-Lyong
    • Journal of Korean Neurosurgical Society
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    • v.49 no.6
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    • pp.363-366
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    • 2011
  • Cerebellar pilocytic astrocytomas (PAs) are benign gliomas predominantly found in the pediatric population. Intracranial hemorrhages are extremely rare in initial presentations of cerebellar PAs. There are no reports in the medical literature of adult cerebellar PA cases presenting with intratumoral hemorrhage. We report 2 cases of adult cerebellar pilocytic astrocytomas with intratumoral hemorrhage. The first case is a 37-year-old woman presenting with severe headache, nausea, and vomitting. Computed tomography demonstrated an acute hemorrhage adjacent to the right cerebellar hemisphere and hydrocephalus. Magnetic resonance imaging (MRI) revealed a cerebellar vermian tumor with the hemorrhage as a mixed isoin-tense area in the T2-weighted image, and as a mixed hyperintense area in the contrast-enhanced T1-weighted image. The second case is a 53-year-old man presenting with headache for 3 weeks. MRI revealed a cerebellar hemispheric tumor with the hemorrhage as a mixed hyperintense area. It had a cystic mass with a heterogeneous enhanced mural nodule in the gadolinium-enhanced T1-weighted image and a fluid-fluid level within the cyst in the T2-weighted image. Both of them underwent radical resections of their respective lesions. Histological examination of the specimens revealed typical astrocytoma, including a hemorrhagic portion. Both patients recovered postoperatively and continue to do well at present. The medical literature on hemorrhagic cerebellar PAs is also reviewed.

The Influence of the Sociocultural Attitudes towards Appearance, BMI and Body Image on Self-Esteem (자아존중감에 대한 외모의 사회문화적 태도와 신체비만도 및 신체이미지의 영향)

  • Hong Keum-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.2 s.150
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    • pp.348-357
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    • 2006
  • This study was designed to find out how the sociocultural attitudes toward appearance, BMI and body image of adult women affect their self-esteem. A questionnaire was prepared in the survey and a total of 456 adult women were selected by way of stratified random sampling. The research findings are as follows: 1. The sociocultural attitudes toward appearance were shown in two factors of 'internalization' and 'awareness'. The body image was shown in three dimensions of 'care for appearance', 'concern about weight', and 'appearance attractiveness'. 2. Internalization, recognition, and BMI influenced on 'care for appearance'. 'Concern about weight' was affected by internalization and BMI. Appearance attractiveness was affected only by BMI. 3. Adult women's self-esteem was influenced by appearance attractiveness, internalization, and care for appearance. 4. The behaviors of appearance management were differed according to the sociocultural attitudes towards appearance. Therefore, adult women form a higher degree of self-esteem is formed when they accept what they are regardless of their actual BMI and when they evaluate their body positively.

A study on the influence of personality dimension on preferred brand image of Women's ready-made-wear -Concentrated on adult females- (성격차원이 선호 의복상표이미지에 미치는 영향에 관한 연구 -여성을 중심으로-)

  • 이미혜
    • Journal of the Korean Home Economics Association
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    • v.28 no.3
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    • pp.13-24
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    • 1990
  • The main purpose of this study are as follows ; 1) To examine closely the effect of personality dimension on brand image. 2) To investigate the difference of variables about brand image according to the characteristics of the population statistics and draw the strategies of marketing for our wear enterprises. A 300 Samples were selected from female in Seoul and the investigation was conducted during 21 days, from 1998. 9. 21 to 1988. 10. 11. As for survey methozs, the personality dimension test developed by Eysenk was adopted. To measure the brand image, the adjectives of the semantic differentia scale developed by Malhotra and adjective that has been used in various were image analysis were adopted. The data were analysed using the statistical technic of Correlation Coefficient, F-test, and X2 test. The Results obtained from this study were as follows. 1. There were partially significant relationships between adult female's four subordinate variables of the personality dimension and preferred brand image on Women's ready-made wear. 1) The people having a high Psychoticism tendency preferred "individual" image and less preferred "practical" image than the people of low Psychoticism. 2) The people having a high extraversion tendency preferred "bold", "aged" image and less preferred "feminine", "practical" image. 3) The unstable female having a high neuroticism tendency preferred "abscure" image and less preferred "Practical" "gaudy", "Open hearted" image. 4) The people having a high lie tendency perferred "intricate", "classical" image and less preferred "bold", "citified", "incongruous" image. 2. There were partially significant differences in adult female's preferred brand image on women's ready made wear according to the characteristics of the population statistics.

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Extraction Method of Skin Region using Skin Color of Eye Zone in YCbCr Color Space (YCbCr 공간에서 눈 영역의 피부색을 이용한 피부영역 검출 기법)

  • Park, Young-Jae;Kim, Gye-Young;Choi, Hyung-Il
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.7
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    • pp.520-523
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    • 2009
  • There are many ways to judge whether the input image is adult-image or not. Until now, adult image detection has been examined by the ratio of skin area in full image. In this paper, we propose a method to extract skin region in YCbCr. Skin region shows unique distribution in YCbCr, and we will separate the skin region from background using the distribution. First, we are going to find Eye zone using Eye-Map. Then we will find out the color value for the distribution of skin region using the color of Eye zone. Next, we will find the distribution of the area through the skin region in full-image.

Nurses' Self-Image Perceived by Clinical Nurses: An Application of Q-Methodology (임상간호사가 지각한 간호사 자아상: Q 방법론적 접근)

  • Ha, Eun-Ho;Hyun, Kyoung Soon
    • Korean Journal of Adult Nursing
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    • v.26 no.1
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    • pp.117-128
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    • 2014
  • Purpose: The views, perceptions, and feelings of nurses themselves would be important to quality of nursing and professionalism, and turnover intentions. The purpose of this study was to identify nurses 'self-image to develop a customized program. Methods: The Q-methodology which is to create a typology was used. The 40 selected Q-statements from each of 35 participants were classified into a shape of normal distribution using a nine point scale. The collected data were analyzed using a PC-QUANL program. Results: Three types of nurses 'self-image were identified: 'proactive self-image', 'critical self-image', and 'adaptive self-image'. Two consensus items in three types were extracted: 'need to develop healing therapies to overcome the constant tension and exhaustion from work', and 'just think as a colleague than the senior-junior relationship. Conclusion: The results is the typology and this leads to further research.

Adult Image Detection Using Skin Color and Multiple Features (피부색상과 복합 특징을 이용한 유해영상 인식)

  • Jang, Seok-Woo;Choi, Hyung-Il;Kim, Gye-Young
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.12
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    • pp.27-35
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    • 2010
  • Extracting skin color is significant in adult image detection. However, conventional methods still have essential problems in extracting skin color. That is, colors of human skins are basically not the same because of individual skin difference or difference races. Moreover, skin regions of images may not have identical color due to makeup, different cameras used, etc. Therefore, most of the existing methods use predefined skin color models. To resolve these problems, in this paper, we propose a new adult image detection method that robustly segments skin areas with an input image-adapted skin color distribution model, and verifies if the segmented skin regions contain naked bodies by fusing several representative features through a neural network scheme. Experimental results show that our method outperforms others through various experiments. We expect that the suggested method will be useful in many applications such as face detection and objectionable image filtering.

Evaluation of Adult Lung CT Image for Ultra-Low-Dose CT Using Deep Learning Based Reconstruction

  • JO, Jun-Ho;MIN, Hyo-June;JEON, Kwang-Ho;KIM, Yu-Jin;LEE, Sang-Hyeok;KIM, Mi-Sung;JEON, Pil-Hyun;KIM, Daehong;BAEK, Cheol-Ha;LEE, Hakjae
    • Korean Journal of Artificial Intelligence
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    • v.9 no.2
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    • pp.1-5
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    • 2021
  • Although CT has an advantage in describing the three-dimensional anatomical structure of the human body, it also has a disadvantage in that high doses are exposed to the patient. Recently, a deep learning-based image reconstruction method has been used to reduce patient dose. The purpose of this study is to analyze the dose reduction and image quality improvement of deep learning-based reconstruction (DLR) on the adult's chest CT examination. Adult lung phantom was used for image acquisition and analysis. Lung phantom was scanned at ultra-low-dose (ULD), low-dose (LD), and standard dose (SD) modes, and images were reconstructed using FBP (Filtered back projection), IR (Iterative reconstruction), DLR (Deep learning reconstruction) algorithms. Image quality variations with respect to varying imaging doses were evaluated using noise and SNR. At ULD mode, the noise of the DLR image was reduced by 62.42% compared to the FBP image, and at SD mode, the SNR of the DLR image was increased by 159.60% compared to the SNR of the FBP image. Based on this study, it is anticipated that the DLR will not only substantially reduce the chest CT dose but also drastic improvement of the image quality.

A Study on the Image of Adult Foundations (남.녀 파운데이션 이미지 연구)

  • Lee, Hyo-Jin;Yang, A-Rang
    • The Research Journal of the Costume Culture
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    • v.19 no.2
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    • pp.255-268
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    • 2011
  • This study carefully explored today's preferable beauty images, analyzed Korean adult purchasing trends of functional underwear and market analysis of the most popular items and their designs. Information and methods are based largely on reference book material as well as analysis of real domestic data. The paper's research timeline simply spans the last three years, as in accordance with project parameters. Helping improve body shape, foundation literally means 'substructur' and 'base'. The formativeness in these adult foundations typically has three main category classifications. First, natural modern image. This is where we find natural beauty including that which embodies a cool modern sense. Here, you can often see such patterns as either stripes and dots, or simply no patterns at all. Colors are green, red-brown, incarnadine, or khaki from a natural or basic human body color. Its products are marketed as both solid and durable eco-friendly materials, and lace-seethrough. Fashion's natural modern image is undoubtedly the most popular style purchase choice among both genders. Second, sweet romantic image. This mainly consists of two concepts : a sweet and romantic theme, and visual appeal. Patterns include flowers, lips, heart, stars, candies and various other appealing characters. Its main colors are pink, yellow, red, purple, and violet. Products are decorated with laces, frills and ribbons. Since only men's semi-girdles carry such designs, this fashion foundation is largely a women's world. While men show an obvious interest in foundation, they still mostly prefer the choice of natural modern images. Third, mystic sexy image. This is defined as all feminine images of mysterious and classic sexual beauty. Patterns are variously expressed as paisley, flowers, and geometric. Colors are largely purple, blue-green, royal-blue, cobalt, and black. Products are commonly decorated with beading, spangles, hot-fixes and so on. While this image can be found in all kinds of women's foundations, it typically appears only in men's corsets and girdles.

Adult Image Classification using Adaptive Skin Detection and Edge Information (적응적 피부색 검출과 에지 정보를 이용한 유해 영상분류방법)

  • Park, Chan-Woo;Park, Ki-Tae;Moon, Young-Shik
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.1
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    • pp.127-132
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    • 2011
  • In this paper, we propose a novel method of adult image classification by combining skin color regions and edges in an input image. The proposed method consists of four steps. In the first step, initial skin color regions are detected by logical AND operation of all skin color regions detected by the existing methods of skin color detection. In the second step, a skin color probability map is created by modeling the distribution of skin color in the initial regions. Then, a binary image is generated by using threshold value from the skin color probability map. In the third step, after using the binary image and edge information, we detect final skin color regions using a region growing method. In the final step, adult image classification is performed by support vector machine(SVM). To this end, a feature vector is extracted by combining the final skin color regions and neighboring edges of them. As experimental results, the proposed method improves performance of the adult image classification by 9.6%, compared to the existing method.

Comparison of Plasma Proteome Expression between the Young and Mature Adult Pigs

  • Jeong, Jin Young;Nam, Jin Sun;Kim, Jang Mi;Jeong, Hak Jae;Kim, Kyung Woon;Lee, Hyun-Jeong
    • Reproductive and Developmental Biology
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    • v.37 no.4
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    • pp.247-253
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    • 2013
  • Here, we present an approach of blood plasma proteome profiling and their comparisons between the young and the adult pigs as prerequisite for the identification of bio-markers related to the health conditions, growth performance and meat quality. To profile the proteome in porcine plasma, blood samples were collected from 19 young piglets and 20 adult male barrows and the plasma was retrieved. Then, protein profiling was initiated using one and two-dimensional electrophoresis. Proteins were spotted and then identified by MALDI-TOF-TOF and LC-MS-MS. In the results, more than thirty-six and twenty eight protein spots were selected in young piglets and adult pigs, respectively and twenty three proteins were identified. The proteome profile images were compared between those ones using Image Master Version 7.0. The image of expressed proteome showed that most of proteins from plasma of young piglet separated clearly and concentrated in 2DE display compared to ones from adult. Image analysis in detail was carried out to look for the specific proteins related to age progression. It demonstrated that the characteristics of proteome expression could be distinct to their age stages. Further investigations needed to proceed to understand the age dependent change of protein conformation and biological meaning of those differences in proteome expression between young and mature adult pigs.