• Journal of muscle and joint health
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• v.24 no.2
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• pp.130-139
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• 2017

Purpose: This study was conducted to explore the mediating effect of nutritional status in the relationship between symptom experience and functional status among in patients with lung cancer undergoing chemotherapy. Methods: Subject (N=139) were lung cancer patients visiting the D hospital in B city. Data collection was conducted from May 2016 to February 2017. Seven nutritional status measurement tools, 22 symptom experience tools, and 15 EORTC QLQ-C30 functional scales were used to measure nutritional, symptom, and functional levels. The collected data were analyzed by SPSS / WIN 21.0 using descriptive analysis, Pearson correlation, 3-step regression analysis of Baron and Kenny, and Sobel test. Results: There was a significant positive correlation between symptom experience and nutritional status, a significant negative correlation between symptom experience and functional status, and significant negative correlation between nutritional status and functional status. Symptom experience had direct effect and indirect effects on functional status through nutritional status. Conclusion: For enhancing functional status in lung cancer patients, it is necessary to develop nursing intervention programs to palliate symptoms and improve nutritional status.

• Korean Journal of Human Ecology
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• v.18 no.1
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• pp.145-155
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• 2009

The purpose of this study is to examine the university students' awareness and attitudes on functional clothing materials, and to explore the effects of subjects' characteristics on the relationship between their attitudes to and images of the functional clothing materials. A total of 500 questionnaires were distributed to university students and 409 of which were used in data analysis. The data were statistically analyzed by frequency, factor analysis, reliability analysis, correlation analysis, t-test, ANOVA. The results were as follows: students thought that the first and foremost 'function' of functional clothing materials is their light-weight. The functions that consumers practically demanded are water-repellency and high absorbency & quick drying. It showed that students have an image that functional clothing materials have special, good and satisfactory qualities. Goretex and Coolmax were the most selected as brands of functional clothing materials which students knew. Attitudes to functional clothing materials revealed positively in the cognitive, behavioral and affectional attitudes. The attitudes had no significant differences according to sex and their major, but they had significant differences by subjects' amount of allowance, frequency of sports participation and sports ability. In other words, the more amount of allowance they get, the more frequently students do exercise, and the higher sports ability they have, the more positive attitude they have. The study says, in conclusion, that their conception of functional clothing materials has positive relations with their attitudes toward them.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.684-694
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• 2021

Resting-state Functional Magnetic Resonance Imaging(fMRI) data detects the temporal correlations in Blood Oxygen Level Dependent(BOLD) signal and these temporal correlations are regarded to reflect intrinsic cortical connectivity, which is deactivated during attention demanding, non-self referential tasks, called Default Mode Network(DMN). The relationship between fMRI and anatomical connectivity has not been studied in detail, however, the preceded studies have tried to clarify this relationship using Diffusion Tensor Imaging(DTI) and fMRI. These studies use method that fMRI data assists DTI data or vice versa and it is used as guider to perform DTI tractography on the brain image. In this study, we hypothesized that functional connectivity in resting state would reflect anatomical connectivity of DMN and the combined images include information of fMRI and DTI showed visible connection between brain regions related in DMN. In the previous study, functional connectivity was determined by subjective region of interest method. However, in this study, functional connectivity was determined by objective and advanced method through Independent Component Analysis. There was a stronger connection between Posterior Congulate Cortex(PCC) and PHG(Parahippocampa Gyrus) than Anterior Cingulate Cortex(ACC) and PCC. This technique might be used in several clinical field and will be the basis for future studies related to aging and the brain diseases, which are needed to be translated not only functional connectivity, but structural connectivity.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.3
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• pp.113-120
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• 2018

PURPOSE: This study was conducted to investigate the characteristics of a specific functional shoe in terms of the range of motion (ROM) of ankle and foot joints during walking when compared to a standardized shoe. METHODS: Kinematic ROM data pertaining to ankle, tarsometatarsal, and metatarsophalangeal joints were collected from twenty-six healthy individuals during walking using a ten-camera motion analysis system. Kinematic ROM of each joint in three planes was obtained over ten walking trials consisting of two different shoe conditions. Visual3D motion analysis was finally used to coordinate the kinematic data. All kinematic ROM data were interpolated using a cubic spline algorithm and low-pass filtered with a cutoff frequency of 6 Hz for smoothing. RESULTS: The overall ROM of the ankle joint in the sagittal and coronal planes when wearing the specific functional shoe was significantly decreased in both ankles during walking when compared to wearing a standard shoe (p<.05). Significantly more flexibility was observed when wearing the specific functional shoe in the tarsometatarsal and metatarsophalangeal joints compared to a standard shoe (p<.05). CONCLUSION: Although clinical application of the specific functional shoe has shown clear positive effects on knee and ankle moments, the results of this study provide important background information regarding the kinematic mechanisms of these effects.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.413-414
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• 2012

Currently the amount and variety of data being generated is unprecedented and dramatically changes the way individuals, groups, and societies act and make decisions. Visualization is one of the most important commonly used methods of analyzing and interpreting digital assets and the interactive environments are necessary to enable effective discovery and decision making. In this paper we present several examples and approaches to scalable functional representations and interactive visualization and analysis. The functional representations provide us unified, compact, continuous, multi-scale, and compressed representations in the data domain.

• Investigative Magnetic Resonance Imaging
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• v.10 no.1
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• pp.26-31
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• 2006

Purpose : To evaluate the effect of global scaling analysis on brain activation for sensory and motor functional MR imaging study. Materials and methods : Four normal subjects without abnormal neurological history were included. Arm extension-flexion movement was used for motor function and 1KHz pure tone stimulation was used for auditory function. Functional magnetic resonance imaging was performed at 3T MRI (GE, Milwaukee, USA) using BOLD-EPI technique and SPM2 was employed for data analysis. On data analysis, the brain activation images were obtained with and without global scaling by fixing other parameters such as motion correction and realignment. Results : The difference in brain activation between no scaling and global scaling was not large in case of right upper extremity movement (p<0.000001). For auditory test, brain activation with global scaling showed larger activation than that of without global scaling (p<0.05). Conclusion : A caution must be taken into account when analyzing functional imaging data with global scaling especially for functional study of small local BOLD signal change.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.12
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• pp.1113-1119
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• 2000

To operate a process plant safely and economically, process monitoring is very important. Process monitoring is the task to identify the state of the system from sensor data. Process monitoring includes data acquisition, regulatory control, data reconciliation, fault detection, etc. This research focuses on the data recon-ciliation using scale-space filtering and fault detection using functional-link associative neural networks. Scale-space filtering is a multi-resolution signal analysis method. Scale-space filtering can extract highest frequency factors(noise) effectively. But scale-space filtering has too large calculation costs and end effect problems. This research reduces the calculation cost of scale-space filtering by applying the minimum limit to the gaussian kernel. And the end-effect that occurs at the end of the signal of the scale-space filtering is overcome by using extrapolation related with the clustering change detection method. Nonlinear principal component analysis methods using neural network have been reviewed and the separately expanded functional-link associative neural network is proposed for chemical process monitoring. The separately expanded functional-link associative neural network has better learning capabilities, generalization abilities and short learning time than the exiting-neural networks. Separately expanded functional-link associative neural network can express a statistical model similar to real process by expanding the input data separately. Combining the proposed methods-modified scale-space filtering and fault detection method using the separately expanded functional-link associative neural network-a process monitoring system is proposed in this research. the usefulness of the proposed method is proven by its application a boiler water supply unit.

• Korean Journal of Applied Biomechanics
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• v.25 no.2
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• pp.231-240
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• 2015

Objective : This study is for providing data about men's functional sport underpants. It provides the fundamental data of biomechanics by measuring and analyzing the functionality of various underpants using infrared thermal image camera. Method : Then author drew a conclusion based on the final analysis of 965 questionnaire survey results about issues on men's functional sport underpants after discarding invalid questionnaires, as following. Change in body temperature while wearing functional underpants compared to general briefs or boxer pants showed lower temperature by approximately 1~2 degrees Celsius. In the case of general underpants, wearer sweats and feels hotter due to the friction of penis, scrotum and thigh. However functional sport functional underpants improved this issue with ergonomic 3D design by putting penis towards the lower part of the abdomen(below the navel) while putting the scrotum comfortably on the testicles, which enables to make room between the penis, scrotum and thigh of a wearer. Results : This was analyzed to lower the temperature of penis and scrotum. The survey results about the quality of functional underpants showed that 78% of the respondents felt comfortable while driving; 68.5% replied that frictional heat decreased while working out; 78.7% felt less sweat and humidity; 81.7% replied as highly wearable and comfortable; 77.1% replied functional sport underpants were the most comfortable in routine lives or in workout times. Putting all such results together, it is possible to conclude that functional sport is an excellent product. Conclusion : This can be evaluated as an excellent functional sport underpants, towards the penis abdomen (under the navel) in 3D human engineering design, by the scrotum to wearing to be easier to scrotum of pocket, the penis and scrotum and thighs were separated and analyzed with a function that will lower the body temperature of the penis and scrotum.

• The Journal of Society for e-Business Studies
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• v.4 no.1
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• pp.37-58
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• 1999

In this paper, we suggest the system analysis method that links IDEF0 and conceptual analysis. Based on the method, we propose the implementation methodology that can be used to build CALS/EC systems in logistics industry. This paper presents data characteristic derived using ICAM DEFinition(IDEF0) and conceptual data modeling. Modeling methodology has been widely used for analysis and design of an enterprise information system. Further IDEF has been considered appropriate for developing functional and database models for the logistics environment.

• Journal of Korea Multimedia Society
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• v.24 no.4
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• pp.583-592
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• 2021

Obsessive-compulsive disorder (OCD) is a mental disorder in which a person repeated a particular thought or feels. The domain of beliefs and guilt predicted OCD symptoms. Although there were some neuroimaging studies investigating OCD symptoms, resting-state functional magnetic resonance imaging (rs-fMRI) study investigating intra-network functional connectivity associated with guilt for OCD is not reported yet. Therefore, in the current study, we assessed the differences between intra-network functional connectivity of healthy control group and OCD group using independent component analysis (ICA) method. In addition, we also aimed to investigate the correlation between changed functional connectivity and guilt score in OCD. Total 86 participants, which consisted of 42 healthy control volunteers and 44 OCD patients, acquired rs-fMRI data using the 3T MRI. After preprocessing the fMRI data, a functional connectivity was used for group independent component analysis. The results showed that OCD patients had higher score in emotion state in beliefs and lower functional connectivity in fronto-parietal network (FPN) than control group. A decrease of functional connectivity in FPN was negatively correlated with feelings of guilt in OCD. Our results suggest excessive increase in guilt negatively affect to process emotional state and behavior or cognitive processing by influencing intrinsic brain activity.