• Nutrition Research and Practice
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• v.3 no.1
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• pp.43-48
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• 2009

We investigated the nutritional state of B vitamins and the neuropsychological functions in 25 subjects, aged $63.1{\pm}6.3$ years, residing in rural areas of Korea. Nutritional states of thiamin, riboflavin, and pyridoxine were assessed enzymatically in the erythrocytes, and folate concentrations were measured microbiologically in the plasma and erythrocytes. A battery of composite neuropsychological test was administered to the subjects. Plasma folate was correlated with the total intelligence score (p=0.049). Folate levels in the erythrocytes were correlated with the performance intelligence scores such as block design (p=0.017) and picture arrangement (p=0.016). The red cell folate was correlated with memory scores such as general memory (p=0.009) and delayed recall (p=0.000). Although it did not reach statistical significance, verbal memory (p=0.053) was highly correlated with the red cell folate. The red cell folate was also correlated positively with the percent of conceptual level response number score (p=0.029), and negatively with the grooved pegboard test score for the non-dominant hand (p=0.010). Fine motor coordination was also influenced by folate nutrition, as finger tapping scores in both hands were significantly correlated with red cell folate (dominant hand; p=0.026, non-dominant hand; p=0.004). Other B vitamins such as thiamin, riboflavin, and vitamin $B_6$ were not as strongly correlated with neuropsychological function test scores as folate was. These results suggest that folate nutrition influences neuropsychological function test scores significantly in humans. Further studies are needed to explore the relationship between folate or other vitamin B nutrition and neuropsychological functions and the implications thereof.

• 한국노년학
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• v.36 no.3
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• pp.751-763
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• 2016

In this article, we conducted a literature review about cognitive aging and social-psychological factors that influence cognitive function in old age. As getting older, cognitive function was mostly seen as declining, even though the effect of aging is differential across domains of cognitive ability. The negative view about cognitive aging might be reflecting social-psychological factors such as age stereotypes. Age stereotypes vary among different cultures, but appear to be negative in general. Negative age stereotypes are related to lower level of memory performances. Older adults who were experimentally presented with positive age stereotypes exhibited better memory performances than those with negative age stereotypes. Self-referent belief, appraisals of one's own cognitive abilities, could also affect actual performance in cognitive tasks. Older adults showed lower self-referent belief than younger adults, and it might explain memory decline in old age. Theoretical explanation and implication about the relationship between social-psychological factors and cognitive abilities were discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1649-1654
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• 2021

In this paper, we introduce a regularization of long short-term memory (LSTM) based fall detection system using TensorFlow that can detect falls that can occur in the elderly. Fall detection uses data from a 3-axis acceleration sensor attached to the body of an elderly person and learns about a total of 7 behavior patterns, each of which is a pattern that occurs in daily life, and the remaining 3 are patterns for falls. During training, a normalization process is performed to effectively reduce the loss function, and the normalization performs a maximum-minimum normalization for data and a L2 regularization for the loss function. The optimal regularization conditions of LSTM using several falling parameters obtained from the 3-axis accelerometer is explained. When normalization and regularization rate λ for sum vector magnitude (SVM) are 127 and 0.00015, respectively, the best sensitivity, specificity, and accuracy are 98.4, 94.8, and 96.9%, respectively.

• Journal of Korean Academy of Nursing
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• v.42 no.5
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• pp.644-658
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• 2012

Purpose: The purpose of this study was to evaluate the cognitive effects of chemotherapy in patients with breast cancer. Methods: Using several databases, prospective studies were collected up to August 2011. Of 2,106 publications identified, 12 met the inclusion criteria, and 8 studies were used to estimate the effect size of chemotherapy on cognitive impairment. Results: Twelve studies were done since 2005 and most of the research was performed in Europe or North America. Eight studies were used to generate effect size across the cognitive domains of attention/concentration, verbal and visual memory, executive function, visuospatial skill, language, and subjective cognitive function. Each of the cognitive domains showed small effect sizes (-0.02 ~ -0.26), indicating diminished cognitive function for the chemotherapy group compared with non-chemotherapy groups. Conclusion: Finding suggests that breast cancer patients who undergo chemotherapy may experience mild cognitive decline. Further study is needed to generate knowledge and guideline for interventions to address chemotherapy related cognitive impairment in these patients.

• The Journal of Korea Robotics Society
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• v.11 no.2
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• pp.41-50
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• 2016

This paper describes the effect of a robot cognitive rehabilitation program on cognitive functions for the elderly with mild cognitive impairment, and compares it with traditional cognitive therapy programs. Three experiment groups including cognition therapy group, robot cognitive rehabilitation group, and hybrid group have been sampled and one comparative group has been organized for this research. 32 old people whose ages are between 61 and 88 with mild cognitive impairment participated in the programs with an admission of W care hospital. According to the program results, the cognitive therapy program alone had shown a positive effect on the attention function, and the robot cognitive rehabilitation program alone had a positive effect on the total intelligence and memory function. However, a simultaneous operation with both programs had shown a positive effect on the three intelligence areas such as total, basic, and management quotients as well as attention and memory functions as subsidiary factors. This paper has verified that the proposed robot cognitive rehabilitation program makes a positive effect on a cognitive function and plays a complementary role with traditional cognitive therapy programs.

• Korean Journal of Food Science and Technology
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• v.54 no.1
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• pp.52-58
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• 2022

Phosphatidylserine (PS) is an essential component of the cerebral cortex and is associated with cognitive function. In this systematic review, the effects of PS on cognitive function in the elderly population are examined. The literature search included PubMed, EMBASE, Cochrane, and Web of Science databases. Subsequently, nine studies, including five randomized controlled trials and four pre-post studies, were selected. There were 961 participants in the selected studies; PS dosage varied from 100 to 300 mg/d, and the experimental period ranged from 6 weeks to 6 months. Five out of the nine selected studies were assessed to have a 'low' risk of bias, whereas the other four studies were assessed to have 'some concerns' regarding the risk of bias. The results of the meta-analysis concluded that PS had a positive effect on the memory of older adults with cognitive decline. Thus, PS appears to improve age-associated cognitive decline, especially memory, with no adverse effects.

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.309-317
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• 2009

This study was to investigate the effects of restoring cognition function and neurotrophic factor in the hippocampus according to memory and learning training in rats affected by brain injury. Brain injury was induced in Sprague-Dawley rats(36 rats) through middle cerebral artery occlusion(MCAo). And then experiment groups were randomly divided into three groups; Group I: Brain injury induction(n=12), Group II: the application for treadmill training after brain injury induction(n=12), Group III: the application for memory and learning training after brain injury induction(n=12). Morris water maze acquisition test and retention test were performed to test cognitive function. And the histological examination was also observed through the immunohistochemistric response of BDNF(brain-derived neurotrophic factor) in the hippocampus. For Morris water maze acquisition test, there were significant interactions among the groups with the time(p<.001). The time to find the circular platform in Group III was more shortened than in Group I, II on the 9th, 10th, 11th and 12th day. For Morris water maze retention test, there were significant differences among the groups(p<.001). The time to dwell on quadrant circular platform in Group III on the 13th day was the longest compared with other groups. And as the result of observing the immunohistochemistric response of BDNF in the hippocampus CA1, the response of immunoreactive positive in Group III on the 7th day increased more than that of Group I, II. These results suggested that the memory and learning training in rats with brain injury has a more significant impact on restoring cognitive function via the changes of neurotropic factor expression and synaptic neuroplasticity.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.12A
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• pp.1922-1931
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• 1999

A multicast traffic’s feature is the function of providing a point to multipoints cell transmission, which is emerging from the main function of ATM switch. However, when a conventional point-to-point switch executes a multicast function, the excess load is occurred because unicast cell as well as multicast cell passed the copy network. Additionally, due to the excess load, multicast cells collide with other cells in a switch. Thus a deadlock that losses cells raises, extremely diminishes the performance of switch. An input queued switch also has a defect of the HOL (Head of Line) blocking that less lessens the performance of the switch. In the proposed multicast switch, we use shared memory switch to reduce HOL blocking and deadlock. In order to decrease switch’s complexity and cell's processing time, to improve a throughput, we utilize the method that routes a cell on a separated paths by traffic pattern and the scheduling algorithm that processes a maximum 2N cell at once in the control part. Besides, when cells is congested at an output port, a cell loss probability increases. Thus we use the Output Memory (OM) to reduce the cell loss probability. And we make use of the method that stores the assigned memory (UM, MM) with a cell by a traffic pattern and clears the cell of the Output memory after a fixed saving time to improve the memory utilization rate. The performance of the proposed switch is executed and compared with the conventional policy under the burst traffic condition through both the analysis based on Markov chain and simulation.

• Journal of Power Electronics
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• v.11 no.1
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• pp.51-58
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• 2011

In this paper, a function model of back-to-back PWM converters, based on the switching function, is developed for simplified simulation of power electronic application systems. For the function model, the PWM power switches are represented by dependent power sources. By using the proposed function model, the computer memory and the run time required for the simulation of power circuits can be significantly reduced. It is shown that the simulation results generated from the function models are almost the same as the ones obtained by using the switching power device model.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1537-1545
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• 2015

Support vector quantile regression (SVQR) can be obtained by applying support vector machine with a check function instead of an e-insensitive loss function into the quantile regression, which still requires to solve a quadratic program (QP) problem which is time and memory expensive. In this paper we propose an SVQR whose objective function is composed of an asymmetric quadratic loss function. The proposed method overcomes the weak point of the SVQR with the check function. We use the iterative procedure to solve the objective problem. Furthermore, we introduce the generalized cross validation function to select the hyper-parameters which affect the performance of SVQR. Experimental results are then presented, which illustrate the performance of proposed SVQR.