• Journal of Magnetics
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• v.19 no.2
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• pp.192-196
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• 2014

The aim of the present study was to examine the effects of high and low frequency repetitive transcranial magnetic stimulation on motor cortical excitability and the balance function in subacute stroke patients. Twenty-four subjects were randomly assigned to either the high frequency (HF) rTMS group, or the low frequency (LF) rTMS group, with 12 subjects each. All subjects received routine physical therapy. In addition, both groups performed a total of 20 sessions of rTMS for 20 minutes, once a day, 5 times per week, for a 4-week period. In the HF rTMS group, 10 Hz rTMS was applied daily to the hotspot of the lesional hemisphere; and in the LF rTMS group, 1 Hz rTMS was applied daily to the hotspot of the nonlesional hemisphere. Motor cortex excitability was determined by motor evoked potentials, and the balance function was evaluated by use of the Balance Index (BI) and the Berg Balance Scale (BBS), before and after the intervention. The change rate in the value of each variable differed significantly between the two groups (p<0.05). Furthermore, significant differences were observed between all post-test variables of the two groups (p<0.05). In the HF rTMS, significant differences were found in all the pre- and post-test variables (p<0.05). On the other hand, in the LF rTMS, significant difference was observed only between the pre- and post-test results of BI and BBS (p<0.05). The findings demonstrate that HF rTMS can be more helpful in improving the motor cortical excitability and balance function of patients with subacute stroke treatment than LF rTMS, and that it may be used as a practical adjunct to routine rehabilitation.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.8
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• pp.695-700
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• 2001

We design the intelligent diagnosis system for deciding on operation of TMS Analysis in this paper. We propose the method to model the neuro-fuzzy model for diagnosing the operation state of analyzer by using input and output signals of TMS and Expert's experiment data. Validity of the proposed system is asserted by numerical simulation.

• Annals of Clinical Neurophysiology
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• v.23 no.1
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• pp.7-16
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• 2021

Transcranial magnetic stimulation (TMS) is a safe and noninvasive tool for investigating the cortical excitability of the human brain and the neurophysiological functions of GABAergic, glutamatergic, and cholinergic neural circuits. Neurophysiological biomarkers based on TMS parameters can provide information on the pathophysiology of dementia, and be used to diagnose Alzheimer's disease and differentiate different types of dementia. This review introduces the basic principles of TMS, TMS devices and stimulating paradigms, several neurophysiological measurements, and the clinical implications of TMS for Alzheimer's disease.

• 한국ITS학회:학술대회논문집
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• 2008.11a
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• pp.445-454
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• 2008

• Journal of Ginseng Research
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• v.13 no.2
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• pp.183-188
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• 1989

A gas chromatographic method was developed for determination of the concentration of three major polyacetylene compounds in ginseng roots---panaxynol, panaxydol and panaxytriol. The column and the detector used were an SPB-1 fused silica capillary (0.2mm i.d.$\times$30m, Supelco) and a flame ionization detector (FID). The column oven temperature was kept at $250^{\circ}C$ isothermally The retention times of panaxynol, panaxydol and panaxytriol peaks were 4.2,5.1 and 6.9 min before TMS-derivatitration and 4.5,5.4 and 7.4 min after TMS-derivatization, respectively. The minimum determinable concentrations of panaxynol, panaxydol and panaxytriol before TMS-derivatiEation were at the 20, 50 and 100 ppm levels, while the concentrations of panaxydol and panaxytriol as well as panaxynol after TMS- derivatisation could be towered to the 5 ppm level. The panaxynol, panaxydol and panaxytriol contents in red ginseng were determined by use of this method after TMS-derivatization : the amounts obtained were 724, 721 and 71$\mu\textrm{g}$/g, respectively.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.9 no.6
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• pp.563-569
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• 1999

The numerical simulation method was utilized to investigate the optimal condition for synthesizing ultrafine SiC powders by using $TMS[Si(CH_3)_4]-H_2$ gaseous mixtures in the horizontal reactor. As a result of the theoretical analysis, the conversion percentage of TMS source was increased with increasing reaction temperature, however, which was decreased with increasing H$_2$flow rate. Though the SiC particles concentration synthesized was decreased with increasing the reaction temperature due to the higher collision rate in the gas phase, they were increased with increasing the H$_2$flow rate and TMS concentration. The SiC particle size showed a tendency to become larger as the reaction temperature and the initial TMS concentration were increased and smaller as the H$_2$ flow rate was increased. The variation of experimental particle size with the reaction temperature, H$_2$flow rate and TMS concentration was agreed with the theoretical results.

• Herbal Formula Science
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• v.22 no.1
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• pp.79-92
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• 2014

Objectives : The aim of this study was identification of the anti-oxidative and anti-inflammatory effects of Talmyung-san (TMS) in mouse macrophage, RAW264.7 cells. Methods : To identify the anti-oxidative effect of TMS, scavenging activities of DPPH radical, nitric oxide and peroxynitrite were measured in vitro. In RAW264.7 cells, DCFH-DA assay was conducted to examine the inhibitory effect of TMS on ROS production in response to lipopolysaccharide. And the productions of nitric oxide (NO), $PGE_2$ and pro-inflammatory cytokines were measured. The levels of COX-2, iNOS, nuclear NF-${\kappa}B$ p65 expression and phosphorylation of $I{\kappa}B-{\alpha}$ in cytosol were detected by western blotting analyses. Results : TMS couldn't scavenged DPPH radical, but nitric oxide and peroxynitrite were decreased. TMS decreased intracellular ROS, NO, and IL-$1{\beta}$ production effectively. However, TMS inhibited $PGE_2$ levels only in high concentration ($300{\mu}g/m{\ell}$) and TMS failed to suppress the production of IL-6 and TNF-${\alpha}$. Results from immunoblot analyses revealed that TMS decreased activation of COX-2, iNOS, phosphorylation of $I{\kappa}B-{\alpha}$ and nuclear translocation of p65. Conclusions : TMS has anti-RNS and anti-inflammatory effects via NF-${\kappa}B$ pathway and more intensive studies will be required to evaluate therapeutic potential of TMS.

• Physical Therapy Korea
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• v.10 no.3
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• pp.17-27
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• 2003

Repetitive transcranial magnetic stimulation (rTMS) modulates cortical excitability beyond the duration of the rTMS trains themselves. Depending on rTMS parameters, a lasting inhibition or facilitation of cortical excitability can be induced. Therefore, rTMS of high or low frequency over motor cortex may change certain aspects of motor learning performance and cortical activation. This study investigated the effect of high and low frequency subthreshold rTMS applied to the motor cortex on motor learning of sequential finger movements and brain activation using functional MRI (fMRI). Three healthy right-handed subjects (mean age 23.3) were enrolled. All subjects were trained with sequences of seven-digit rapid sequential finger movements, 30 minutes per day for 5 consecutive days using their left hand. 10 Hz (high frequency) and 1 Hz (low frequency) trains of rTMS with 80% of resting motor threshold and sham stimulation were applied for each subject during the period of motor learning. rTMS was delivered on the scalp over the right primary motor cortex using a figure-eight shaped coil and a Rapid(R) stimulator with two Booster Modules (Magstim Co. Ltd, UK). Functional MRI (fMRI) was performed on a 3T ISOL Forte scanner before and after training in all subjects (35 slices per one brain volume TR/TE = 3000/30 ms, Flip angle $60^{\circ}$, FOV 220 mm, $64{\times}64$ matrix, slice thickness 4 mm). Response time (RT) and target scores (TS) of sequential finger movements were monitored during the training period and fMRl scanning. All subjects showed decreased RT and increased TS which reflecting learning effects over the training session. The subject who received high frequency rTMS showed better performance in TS and RT than those of the subjects with low frequency or sham stimulation of rTMS. In fMRI, the subject who received high frequency rTMS showed increased activation of primary motor cortex, premotor, and medial cerebellar areas after the motor sequence learning after the training, but the subject with low frequency rTMS showed decreased activation in above areas. High frequency subthreshold rTMS on the motor cortex may facilitate the excitability of motor cortex and improve the performance of motor sequence learning in normal subject.

• Journal of The Korean Association For Science Education
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• v.37 no.6
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• pp.993-1003
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• 2017

Teachers expect team-based project learning to help students develop collaborative and real-world problem solving skills. In practice, however, students tend to solve problems with simple division of labor, and there is a tendency that learning transfer does not occur in solving problems. The purpose of this study is to develop a collaborative learning model based on the transactive memory system (TMS) and to verify its effectiveness. The collaborative learning model based on the TMS is composed of three stages. The first stage is developing TMS. In this stage, the students learn physics concepts and make knowledge about the expertise of group members through peer instruction. The second stage, activating TMS, is building trust through solving well-defined problems for developing near-transfer. And in the third stage, applying TMS, the students solve an ill-defined problem based on real-world context for practicing far-transfer. Based on this model, a 15-week program including two projects on geometric optics and sound waves was developed and applied to 60 college students. The data for five weeks of one project were collected and analyzed. As a result, the TMS of the experimental group with the TMS-based collaborative learning model improved stepwise. Whereas, the difference between the first week and the last week was statistically significant, while the TMS change of the comparison group using the general project learning model was not significant. Also, the experimental group showed that the learning transfer occurred better in the project than the comparison group. A collaborative learning model based on TMS can be used to learn how students gain synergy through collaboration and how students collaboratively transfer the learned concepts in problem solving.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.31-36
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• 2001

We design the intelligent diagnosis system for deciding on operation state of TMS Analyzer in this paper. We propose the method to model the neno-fuzzy model for diagnosing the operation state of analyzer by using input and output signals of TMS to measure NOx and SOx. By using experiment data, neuro-fuzzy model is investigated. Validity of the proposed system is asserted by numerical simulation.