• The Journal of Pediatrics of Korean Medicine
• /
• v.35 no.1
• /
• pp.139-147
• /
• 2021

Objectives The purpose of this study is to investigate differences in brain activities when Neurodevelopmental treatment (NDT) is used alone compare to NDT is combined with intradermal acupuncture (IDA) treatment, using functional infrared spectroscopy (fNIRS) Methods Three children less than 7 year-old with cerebral palsy were participated. On their first visit, only NDT was used. After a week, they were treated with both NDT and IDA. During the treatment, fNIRS was used to measure any changes in their brain activities. Results In first patient with NDT, oxyhemoglobin level was increased during Standing exercise and Gait training compared to resting state. When the patient was treated with NDT and IDA, oxyhemoglobin level was decreased during Standing exercise and Gait training compared to resting state, and the result was significant (p<0.05). In second patient, oxyhemoglobin level was decreased in Gait training compared to resting state when NDT was used, but the level was increased when NDT and IDA were used in Gait training compared to resting state (p<0.05). In third patient, the difference in oxyhemoglobin levels between Gait training and resting state was significant (p<0.05). Conclusions Treatment involving both NDT and IDA has more potential to improve brain activities compared to that of NDT alone, and no adverse effect was reported. In order to confirm the finding, larger scale randomized controlled trials are needed.

• Journal of the Korean Geotechnical Society
• /
• v.37 no.5
• /
• pp.47-63
• /
• 2021

Recently, the demand for three-dimensional (3D) underground maps from the perspective of digital twins and the demand for linkage utilization are increasing. However, the vastness of national geotechnical survey data and the uncertainty in applying geostatistical techniques pose challenges in modeling underground regional geotechnical characteristics. In this study, an optimal learning model based on multi-layer perceptron (MLP) was constructed for 3D subsurface lithological and geotechnical classification in Seoul, South Korea. First, the geotechnical layer and 3D spatial coordinates of each borehole dataset in the Seoul area were constructed as a geotechnical database according to a standardized format, and data pre-processing such as correction and normalization of missing values for machine learning was performed. An optimal fitting model was designed through hyperparameter optimization of the MLP model and model performance evaluation, such as precision and accuracy tests. Then, a 3D grid network locally assigning geotechnical layer classification was constructed by applying an MLP-based bet-fitting model for each unit lattice. The constructed 3D geotechnical layer map was evaluated by comparing the results of a geostatistical interpolation technique and the topsoil properties of the geological map.

• Journal of Digital Convergence
• /
• v.20 no.4
• /
• pp.193-202
• /
• 2022

The purpose of this study is to propose an effective informatization policy by categorizing consumer groups according to the level of digital divide and identifying the characteristics of each type. For this end, a total of 402 data were collected through an online and on-site surveys targeting consumers with internet experience, and the data were analyzed using the SPSS 26.0 program. As a result of conducting a K-means cluster analysis based on access to, capability, and utilization of digital devices, four consumer groups were categorized: 'device lover', 'proficient user', 'general user', and 'digital alienated'. By consumer type, significant differences were found in demographic characteristics, social capital, perception of the future information society, attitude toward technology as innovativeness, discomfort and familiarity, which are the antecedent variables of the digital divide. Significant differences in digital device satisfaction and intention to use, which are outcome variables of the digital divide, were also confirmed by consumer type. This study is academically and practically valuable in that it proposes customized informatization policies for each consumer group according to the level of digitization.

• The Journal of Churna Manual Medicine for Spine and Nerves
• /
• v.16 no.2
• /
• pp.79-86
• /
• 2021

Objectives This study aimed to assess the role of complex Korean medicinal treatment with Chuna manual therapy in two patients with chronic pain after posterior lumbar fusion surgery. Methods A retrospective analysis was performed on 2 patients postoperatively based on their medical records. The surgery regions were verified using T2-weighted axial magnetic resonance imaging. Patients with chronic pain after spondylolisthesis posterior lumbar fusion surgery received complex Korean medicinal treatment with Chuna manual therapy during hospitalization. Numeric rating scale (NRS) in the degree of 0-10 and Oswestry disability index (ODI) were measured before and after treatment. Results Case 1 had an improved NRS score from 7 to 4, and Case 2 had an improved NRS score from 7 to 5. In addition, ODI score improved in both cases. Conclusions Complex Korean medicinal treatment with Chuna manual therapy is effective for relief from chronic pain after posterior lumbar fusion surgery.

• The Journal of the Korea Contents Association
• /
• v.22 no.6
• /
• pp.354-368
• /
• 2022

The purpose of this study was to verify whether there were significant differences in the levels and relationships of emotional intelligence, school adaptation, self-resilience, positive human relationships, and depression between elementary school students who participated in after-school music activities and those who did not. The participants of this study were 379 fourth, fifth, and sixth grade elementary school students in the Capital Area and Gyeongnam Province participated in after-school music activities and 368 students who did not, totaling 747 students. For research analysis, t-test and multi-group analysis were performed, and the analyzed results are as follows. First, the level of emotional intelligence, self-resilience, positive human relationships, and school adaptation were higher in the participating group and the level of depression was lower than the group that did not participate. Second, as a result of multiple group analysis, the participating group had stronger influences on the paths of [emotional intelligence→self-resilience], [emotional intelligence→positive human relationship], [emotional intelligence→depression], [emotional intelligence→school adaptation], and [self-resilience→school adaptation] than those of non-participating group. Third, the participating group showed mediating effects from self-resilience, positive human relationships, and depression in the relationship between emotional intelligence and school adaptation. On the other hand, the non-participating group manifested significant mediating effects only from self-resilience and depression variables in the relationship between emotional intelligence and school adaptation.

• Journal of Korean Medicine Rehabilitation
• /
• v.32 no.1
• /
• pp.51-62
• /
• 2022

Objectives Objective of this study is to investigate the role of paraspinal muscles by examining the correlation between slip percentage (SP) of spondylolisthesis and fatty infiltration of lumbar paraspinal muscle. Methods Retrospective analysis was performed on 45 patients diagnosed with spondylolisthesis based on medical records. Using T2-weighted axial magnetic resonance imaging, cross-sectional areas (CSAs) of psoas major (PM), multifidus (MU) and erector spinae (ES) were calculated and divided by CSA of lower level vertebral body (VB). SP was measured using sagittal T2-weighted images. Correlation of SP with muscle relative cross-sectional area (RCSA) and muscle fatty infiltration by Goutallier classification was respectively analyzed using Spearman correlation. Statistic assessment conducted by Wilcoxon signed rank test and paired t-test using program GraphPad prism 5 (GraphPad Software, Inc., San Diego, CA, USA). Results Spondylolisthesis forward slip percentage by Taillard's method was negatively associated with both side MU RCSAs. No significant correlation was found between PM RCSA, ES RCSA and SP. Forward slippage was significantly correlated with fatty infiltration of lumbar paraspinal muscle measured by Goutallier classification. Conclusions This study is to understand the role of paraspinal muscle affecting spinal instability by investigating correlation between statistical deviation of lumbar muscle characters (RCSA, fatty infiltration of lumbar muscle) and SP. We found that spondylolisthesis SP is positively related to fatty infiltration of lumbar paraspinal muscle. and is negatively associated with both side MU RCSAs.

• Journal of Korea Water Resources Association
• /
• v.55 no.9
• /
• pp.679-686
• /
• 2022

As the occurrences of flash floods have increased due to climate change, faster and more accurate precipitation observation using X-band radar has become important. Therefore, the Ministry of Environment installed two dual-pol X-band radars at Samcheok and Uljin. The radar data used in this study were obtained from two different elevation angles and composed to reduce the shielding effect. To obtain quantitative rainfall, quality control (QC), K_DP retrieval, and Hybrid Surface Rainfall (HSR) methods were sequentially applied. To improve the accuracy of the quantitative precipitation estimation (QPE) of the X-band radar, we retrieved parameters for the relationship between rainfall rate and specific differential phase, which is commonly called the R-K_DP relationship; hence, an empirical approach was developed using multiple rain gauges for those two radars. The newly suggested relationship, R = 27.4K^0.81_DP, slightly increased the correlation coefficient by 1% more than the relationship suggested by the previous study. The root mean square error significantly decreased from 3.88 mm/hr to 3.68 mm/hr, and the bias of the estimated precipitation also decreased from -1.72 mm/hr to -0.92 mm/hr for overall cases, showing the improvement of the new method.

• The Korea Journal of Herbology
• /
• v.32 no.2
• /
• pp.57-64
• /
• 2017

Objectives : Yam bean (Pachyrhizus erosus) possess various nutrients, it has been widely used as traditional cosmetic material in Indonesia. The aim of this study was to investigate the anti-oxidant activity and the anti-melanogenic effect of Yambean (Pachyrhizus erosus) extract and its fractions. Methods : The anti-oxidant activity of yam bean extract assessed based on total polyphenol, flavonoid contents, DPPH and ABTS radical scavenging assay. To evaluate anti-melanogenic effects and cytotoxicity of Yambean extract and its fractions, B16F10 melanoma cell was used. Results : In results, total polyphenol content of yam bean water extract (YW) and Yambean 70% ethanol extract (YE) were $1.18{\pm}0.03mg/g$ (mg of gallic acid/g of sample), $1.16{\pm}0.01mg/g$. Total flavonoid contents of YW, YE were $3.55{\pm}0.06mg/g$ (mg of naringin/g of sample), $1.78{\pm}0.03mg/g$. Moreover, YE scavenged DPPH and ABTS effectively in $4mg/m{\ell}$ compared to YW. Cytotoxicity of YE and its fractions in B16F10 melanoma cell was measured using MTT assays. It had no cytotoxicity up to $500{\mu}g/m{\ell}$. Melanin accumulation in B16F10 melanoma cell was induced using alpha-melanocyte stimulating hormone (${\alpha}-MSH$) and 3-isobutyl-1-methylxanthine (IBMX). B16F10 melanoma cell treated with $10-500{\mu}g/m{\ell}$ YE and hexane, ethyl acetate, butanol, $H_2O$ fractions for 24h. Non treated B16F10 melanoma cell (Control) markedly increased melanin contents. In contrast, YE ethylacetate fraction effectively suppressed melanin accumulation in a dose-dependent manner. Conclusion : In conclusion, these results suggest that Yambean extract has the potential as a cosmetic material which possess anti-oxidant and anti-melanogenic activities.

• Journal of Korea Water Resources Association
• /
• v.55 no.12
• /
• pp.991-998
• /
• 2022

The purpose of this study is to develop GPU (Graphics Processing Unit) acceleration technique for 2-dimensional model and to assess the effectiveness for high resolution flood simulation in wide area In this study, GPU acceleration technique was implemented in the G2D (Grid based 2-Dimensional land surface flood model) model, using implicit scheme and uniform square grid, by using CUDA. The technique was applied to flood simulation in Jinju-si. The spatial resolution of the simulation domain is 10 m × 10 m, and the number of cells to calculate is 5,090,611. Flood period by typhoon Mitag, December 2019, was simulated. Rainfall radar data was applied to source term and measured discharge of Namgang-Dam (Ilryu-moon) and measured stream flow of Jinju-si (Oksan-gyo) were applied to boundary conditions. From this study, 2-dimensional flood model could be implemented to reproduce the measured water level in Nam-gang (Riv.). The results of GPU acceleration technique showed more faster flood simulation than the serial and parallel simulation using CPU (Central Processing Unit). This study can contribute to the study of developing GPU acceleration technique for 2-dimensional flood model using implicit scheme and simulating land surface flood in wide area.

• International journal of advanced smart convergence
• /
• v.11 no.1
• /
• pp.19-27
• /
• 2022

Across the world, 'housing' comprises a significant portion of wealth and assets. For this reason, fluctuations in real estate prices are highly sensitive issues to individual households. In Korea, housing prices have steadily increased over the years, and thus many Koreans view the real estate market as an effective channel for their investments. However, if one purchases a real estate property for the purpose of investing, then there are several risks involved when prices begin to fluctuate. The purpose of this study is to design a real estate price 'return rate' prediction model to help mitigate the risks involved with real estate investments and promote reasonable real estate purchases. Various approaches are explored to develop a model capable of predicting real estate prices based on an understanding of the immovability of the real estate market. This study employs the LSTM method, which is based on artificial intelligence and deep learning, to predict real estate prices and validate the model. LSTM networks are based on recurrent neural networks (RNN) but add cell states (which act as a type of conveyer belt) to the hidden states. LSTM networks are able to obtain cell states and hidden states in a recursive manner. Data on the actual trading prices of apartments in autonomous districts between January 2006 and December 2019 are collected from the Actual Trading Price Disclosure System of the Ministry of Land, Infrastructure and Transport (MOLIT). Additionally, basic data on apartments and commercial buildings are collected from the Public Data Portal and Seoul Metropolitan Government's data portal. The collected actual trading price data are scaled to monthly average trading amounts, and each data entry is pre-processed according to address to produce 168 data entries. An LSTM model for return rate prediction is prepared based on a time series dataset where the training period is set as April 2015~August 2017 (29 months), the validation period is set as September 2017~September 2018 (13 months), and the test period is set as December 2018~December 2019 (13 months). The results of the return rate prediction study are as follows. First, the model achieved a prediction similarity level of almost 76%. After collecting time series data and preparing the final prediction model, it was confirmed that 76% of models could be achieved. All in all, the results demonstrate the reliability of the LSTM-based model for return rate prediction.