• Journal of Korean Academy of Fundamentals of Nursing
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• v.14 no.1
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• pp.83-91
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• 2007

Purpose: This study was done to examine the differences in the fluid volume deficit according to levels of depression and BMI. The results of this study will provide fundamental information for developing nursing interventions for hydration management. Method: The participants were 51 hospitalized elderly people in K province. Data were collected from September 4 to 30, in 2006. A structured questionnaire was used for the data collection. Frequencies, Percentages, Means, Standard Deviation, t-test, Mann-Whitney U test, and Kruskal-Wallis test were used with the SPSS Program to analyze the data. Results: There were significant differences in the fluid volume deficit between elders in the depressed and normal groups. Participants who had a BMI of less than $21kg/m^2$ had the highest fluid volume deficit. Conclusion: Water is an essential part of the human body although it is least studied in elderly people. Health care providers need to increase awareness of the importance of hydration status among hospitalized elderly people with chronic illnesses.

• IMMUNE NETWORK
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• v.20 no.6
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• pp.44.1-44.19
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• 2020

The human body is continuously threatened by pathogens, and the immune system must maintain a balance between fighting infection and becoming over-activated. Mucosal surfaces cover several anatomically diverse organs throughout the body, such as the respiratory and gastrointestinal tracts, and are directly exposed to the external environment. Various pathogens invade the body through mucosal surfaces, making the mucosa the frontline of immune defense. The immune systems of various mucosal tissues display distinctive features that reflect the tissues' anatomical and functional characteristics. This review discusses the cellular components that constitute the respiratory and gastrointestinal tracts; in particular, it highlights the complex interactions between epithelial and immune cells to induce Ag-specific immune responses in the lung and gut. This information on mucosal immunity may facilitate understanding of the defense mechanisms against infectious agents that invade mucosal surfaces, such as severe acute respiratory syndrome coronavirus 2, and provide insight into effective vaccine development.

• Journal of the Korean Society for information Management
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• v.25 no.2
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• pp.199-221
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• 2008

The purpose of this study is to investigate the characteristics of indexes by human and machine, and differences between them in terms of term identification in a fulltext environment. A back-of-book index and two indexes produced by two term identifiers (LinkIt and Termer) as pseudo-indexing systems for a whole body of a monograph are examined. In the investigation, the traditional contrast between manual and automatic indexing is confirmed in fulltext environment, manual index is for browsing and human use, and automatic index is for searching and machine use. The border between them, however, becomes vague. Some considerations for the use of the term identifiers for browsing and for searching are discussed, and further research for the use of the term identifier is suggested.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.1
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• pp.135-148
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• 2008

This study examined the dieting behaviors and diet-influencing factors among college students in the Youngnam region. The data were collected by a self-administered questionnaires during May, 2007. One hundred-ninety samples were ultimately analyzed by SPSS Windows. The results were as follows. First, when comparing calculated BMI with perception of individual body image, many respondents regarded themselves as overweight although they were within normal BMI. Second, over four-fifths of the respondents indicated they were concerned with diet, and many respondents answered that they needed education and information on dieting. In terms of diet knowledge, the mean for correct answers was 77.9%. Mass media were very important sources for acquiring diet information, and the most popular dieting method was fasting therapy. The results of regression analyses to determine the factors affecting several dieting practices showed that grade, monthly allowances, diet awareness, diet knowledge, perception of individual body image, and BMI were significant.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.4
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• pp.57-72
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• 2022

This study categorized and analyzed the body types of adult women in their 20s and 30s using 3D human measurement data from the 8th Size Korea, and intended to construct body shape and dimension data necessary for modeling Korean standard avatars. Data analysis considered data from 1302 adult women in their 20s and 30s, and a total of 49 index values, drop values, and angle items were subjected to factor analysis and one-way ANOVA to categorize the body type, and Duncan test to post-verify significant differences by type. As a result of conducting factor analysis, 13 factors were extracted and were categorized into 4 body types. Type 1 is short in the upper torso, long in the lower torso, long in the arms and legs, and has a upright body shape and sagging shoulder. Type 2 is short in the torso, arms and legs, and has large torso flexion and lower body circumference. Type 3 has abdominal obesity with small torso flexion and lower body circumference. Type 4 is a small body bending forward type. For the distribution of body types by age among those in their 20s and 30s, the highest appearance rate was Type 1 and was therefore selected as the represntative body type. The body type information of this study will be used as basic data for developing standard avatars.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.6
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• pp.75-83
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• 2007

A model based approach of tracking the limbs of a walking human subject is proposed in this paper. The tracking process begins by building a data base composed of conditional probabilities of motions between the limbs of a walking subject. With a suitable amount of video footage from various human subjects included in the database, a probabilistic model characterizing the relationships between motions of limbs is developed. The motion tracking of a test subject begins with identifying and tracking limbs from the surveillance video image using the edge and silhouette detection methods. When occlusion occurs in any of the limbs being tracked, the approach uses the probabilistic motion model in conjunction with the minimum cost based edge and silhouette tracking model to determine the motion of the limb occluded in the image. The method has shown promising results of tracking occluded limbs in the validation tests.

• Fashion & Textile Research Journal
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• v.9 no.1
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• pp.6-14
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• 2007

The purpose of this study was to delve into what type of expression mode of fashion design could suit the life style of digital nomads, as the appearance of nomadic life style was concurrent with people's modified way of thinking and sociocultural changes in today's digital society. It's basically meant to define the roles of fashion design, which was discussed as a way of improving the quality of life as a sort of 'culture,' and to suggest some of the right directions for fashion design in the future. The culture of today's digital era is marked by a pursuit of high mobility and high speed, and by nomadic disposition that is built on flexible thinking. The kind of design that lets people carry nomadic things with them and thereby improve their mobility can satisfy their needs for mobility, and body-friendly design that functions as a device of information in itself can meet their needs for mobility as well. The leading example of the latter is a wearable computer, and wearable scientific technology will be taken to another level, thanks to the advance in digital technology. In the future, that will be more accessible to people in general, and subminiature digital equipment will gain popularity in fashion industry as part of textiles and clothing or as an accessory. And specific kinds of design will be widespread, including variable design, multi-functional design and modular design. The first serves as a tool to protect the human body and to facilitate the adaptability of it to the given circumstances, and the second is characterized by a superb physical and psychological protectability. The third lets wearers bring design to completion at their own option, owing to an increase in the number of open-minded people and the development of interactive media. All these types of design could be called a wearer-friendly, human-oriented design that is specifically appropriate for the digital age. Wearers can actively be involved in design process as productive consumers, which is expected to help increase opener practices in fashion design sector.

• Fisheries and Aquatic Sciences
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• v.19 no.5
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• pp.26.1-26.8
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• 2016

Background: The nematode species belonging to genus Anisakis occur at their third larval stage in numerous marine teleost fish species worldwide and known to cause accidental human infection through the ingestion of raw or undercooked fish or squids. They may also draw the attention of consumers because of the visual impact of both alive and dead worms. Therefore, the information on their geographical distribution and clear species identification is important for epidemiological survey and further prevention of human infection. Results: For identification of anisakid nematodes species isolated from largehead hairtail (Trichiurus japonicus), polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis of internal transcribed spacers of ribosomal DNA were conducted. Mitochondrial cytochrome c oxidase subunit 2 gene was also sequenced, and phylogenetic analysis was conducted. From the largehead hairtail (n = 9), 1259 nematodes were isolated in total. Most of the nematodes were found encapsulated throughout the viscera (56.2 %, 708/1259) or moving freely in the body cavity (41.5 %, 523/1259), and only 0.3 % (4/1259) was found in the muscles. By PCR-RFLP, three different nematode species were identified. Anisakis pegreffii was the most dominantly found (98.7 %, 1243/1259) from the largehead hairtail, occupying 98.7 % (699/708) of the nematodes in the mesenteries and 98.1 % (513/523) in the body cavity. Hybrid genotype (Anisakis simplex ${\times}$ A. pegreffii) occupied 0.5 %, and Hysterothylacium sp. occupied 0.2 % of the nematodes isolated in this study. Conclusions: The largehead hairtail may not significantly contribute accidental human infection of anisakid nematode third stage larvae because most of the nematodes were found from the viscera or body cavity, which are not consumed raw. But, a high prevalence of anisakid nematode larvae in the largehead hairtail is still in concern because they may raise food safety problems to consumers. Immediate evisceration or freezing of fish after catch will be necessary before consumption.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.483-503
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• 2014

In this paper, human action recognition using pyramid histograms of oriented gradients and collaborative multi-task learning is proposed. First, we accumulate global activities and construct motion history image (MHI) for both RGB and depth channels respectively to encode the dynamics of one action in different modalities, and then different action descriptors are extracted from depth and RGB MHI to represent global textual and structural characteristics of these actions. Specially, average value in hierarchical block, GIST and pyramid histograms of oriented gradients descriptors are employed to represent human motion. To demonstrate the superiority of the proposed method, we evaluate them by KNN, SVM with linear and RBF kernels, SRC and CRC models on DHA dataset, the well-known dataset for human action recognition. Large scale experimental results show our descriptors are robust, stable and efficient, and outperform the state-of-the-art methods. In addition, we investigate the performance of our descriptors further by combining these descriptors on DHA dataset, and observe that the performances of combined descriptors are much better than just using only sole descriptor. With multimodal features, we also propose a collaborative multi-task learning method for model learning and inference based on transfer learning theory. The main contributions lie in four aspects: 1) the proposed encoding the scheme can filter the stationary part of human body and reduce noise interference; 2) different kind of features and models are assessed, and the neighbor gradients information and pyramid layers are very helpful for representing these actions; 3) The proposed model can fuse the features from different modalities regardless of the sensor types, the ranges of the value, and the dimensions of different features; 4) The latent common knowledge among different modalities can be discovered by transfer learning to boost the performance.

• Journal of IKEEE
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• v.22 no.2
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• pp.362-368
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• 2018

This paper has implemented a mutual conversion system that mutually converts between body motion signals and both visual and auditory signals. The present study is based on intentional synesthesia that can be perceived by learning. The Euler's angle was used in body movements as the output of a wearable armband(Myo). As a muscle sense, roll, pitch and yaw signals were used in this study. As visual and auditory signals, MIDI(Musical Instrument Digital Interface) signals and HSI(Hue, Saturation, Intensity) color model were used respectively. The method of mutual conversion between body motion signals and both visual and auditory signals made it easy to infer by applying one-to-one correspondence. Simulation results showed that input motion signals were compared with output simulation ones using ROS(Root Operation System) and Gazebo which is a 3D simulation tool, to enable the mutual conversion between body motion information and both visual and auditory information.