• BMB Reports
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• v.54 no.10
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• pp.497-504
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• 2021

EGR1 (early growth response 1) is dysregulated in many cancers and exhibits both tumor suppressor and promoter activities, making it an appealing target for cancer therapy. Here, we used a systematic multi-omics analysis to review the expression of EGR1 and its role in regulating clinical outcomes in breast cancer (BC). EGR1 expression, its promoter methylation, and protein expression pattern were assessed using various publicly available tools. COSMIC-based somatic mutations and cBioPortal-based copy number alterations were analyzed, and the prognostic roles of EGR1 in BC were determined using Prognoscan and Kaplan-Meier Plotter. We also used bc-GenEx-Miner to investigate the EGR1 co-expression profile. EGR1 was more often downregulated in BC tissues than in normal breast tissue, and its knockdown was positively correlated with poor survival. Low EGR1 expression levels were also associated with increased risk of ER+, PR+, and HER2- BCs. High positive correlations were observed among EGR1, DUSP1, FOS, FOSB, CYR61, and JUN mRNA expression in BC tissue. This systematic review suggested that EGR1 expression may serve as a prognostic marker for BC patients and that clinicopathological parameters influence its prognostic utility. In addition to EGR1, DUSP1, FOS, FOSB, CYR61, and JUN can jointly be considered prognostic indicators for BC.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.34 no.4
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• pp.117-133
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• 2021

Objectives : Pityriasis rosea is an acute and subacute papular scaly disease, and is a disease that mainly resolves spontaneously. However, since the outbreak of COVID-19, the possibility that the disease may occur as a sequelae of the disease and side effects of vaccination has been announced. Methods : We searched articles related to oriental treatment of pityriasis rosea at organized in domestic and foreign DBs. Articles were searched for RCT. The results were summarized in tables and graphs, and meta-analysis was performed. Also, we assessed the risk or bias. Results : As a result of setting the herbal medicine alone treatment as an intervention for pityriasis rosea and Western medicine alone as the control group, total 9 articles were searched. We analyzed them and got the results. The efficient rate of the treatment group was statistically significantly higher than that of the control group. In addition, adverse events were significantly less in the treatment group than in the control group. Conclusions : Herbal medicine treatment can be more effective than Western therapy(mainly anti-histamines and glycyrrhizin injection) for pityriasis rosea. In addition, herbal medicine treatment can be superior to Western treatment for safety. However, the limitations of this study include the small number of articles, no other evaluation indicators other than the efficient rate, and insufficient data such as pathological examination.

• The Journal of Internal Korean Medicine
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• v.42 no.3
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• pp.323-339
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• 2021

Objectives: This study investigates the effect of electro-acupuncture on aphasia after stroke. Methods: A search of OASIS, NDSL, PubMed, Cochrane, and CNKI was executed between 4 January 2021 and 4 February 2021, with no limitation on publication year. Extraction and selection from the studies were made by 3 authors. The quality of the studies was evaluated using Cochrane's risk of bias (RoB) tool. Results: 10 studies met the selection criteria. As the treatment site for electro-acupuncture, GV20 (Baihui) was used the most. In all studies, the region located on the head was used for treatment without distinguishing between acupoints and areas of scalp acupuncture, and the stimulation was organized into 3 conditions: speed, intensity, and time. The outcome indicators used before and after treatment focused on the evaluation of language function and the degree of aphasia. The results showed that using electro-acupuncture with speech rehabilitation therapy for aphasia after stroke was more effective than using speech rehabilitation therapy alone. Conclusions: In this review, electro-acupuncture for aphasia after stroke was found to have a significant effect compared to the previous treatment alone. However, because of limitations, information was not reliable enough. Additional research is needed to produce more objective evidence.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1371-1376
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• 2019

In case of fire in a structure, it is difficult to suppress fire because it can not accurately grasp the location of fire in case of fire. In this paper, we propose a system algorithm that can guide the optimal evacuation route in case of deep learning-based (RNN) structure disaster. The present invention provides a service to transmit data detected by sensors to a server in real time by using installed sensor, to transmit and analyze information such as temperature, heat, smoke, toxic gas around the sensor, to identify the safest moving path within a set threshold, to transmit information to LED guide lights and direction indicators in a structure in real time to avoid risk factors. This is because the information of temperature, heat, smoke, and toxic gas in each area of the structure can be grasped, and it is considered that the optimal evacuation route can be guided in case of structure disaster.

• Korean Journal of Acupuncture
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• v.38 no.2
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• pp.62-74
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• 2021

Objectives : The aim of this study is to analyze the effect of acupuncture and the details of acupuncture treatment methods on skin wrinkles. Methods : Search was conducted in Pubmed, KISS, and NDSL databases for acupuncture studies on skin wrinkles. The detailed therapeutic techniques of acupuncture used for skin wrinkles and the effect of acupuncture on skin wrinkle improvement were analyzed. Then, the study results using the same indicator were compared through meta-analysis in order to compare the effects of acupuncture with the control group. The quality of randomized controlled trials (RCTs) was assessed using the risk of bias (ROB) assessment tool (Ver. 1.0, Cochrane Collaboration). Results : A total of 10 RCTs and 19 case series were included in this study. The most frequently used therapeutic technique for skin wrinkle improvement was Microneedle therapy system (MTS, n=19), and they were mostly used with aesthetic solutions (13 out of 19 studies). Skin wrinkle related indexes were most commonly used to evaluate skin wrinkle improvement (n=14). Panax Ginseng pharmacopuncture showed the most remarkable effect in improving the range of skin wrinkles and the depth of skin wrinkles. MTS+epidermal growth factor improved the levels of skin hydration, skin elasticity, and variation of skin pigment the most. MTS+Endothelial precursor cell improved the number of skin melanin the most. Three RCTs included in the meta-analysis showed moderate ROB on average. Conclusions : Acupuncture treatment was effective in improving skin wrinkles. However, a precise study design using unified indicators and appropriate controls needs to be performed in further studies in order to establish more convincing evidence of the effectiveness of acupuncture for improving skin wrinkles.

• Journal of Physiology & Pathology in Korean Medicine
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• v.35 no.1
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• pp.42-46
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• 2021

The purpose of this study was to investigate the relationship between sleep quality and sleep duration according to individual characteristics, and the relationship between sleep quality and cold type. A total of 1998 participants aged 30-55 who participated in a community cohort study at KIOM's Oriental Medicine Data Center (KDC) was analyzed. Cold type was diagnosed with a common the Questionnaire of Cold Pattern Identification (8 items). Sleep quality was assessed by the Pittsburgh Sleep Quality Index. The participants in this study were classified into 1193 with cold type and 805 with non-cold type. The poor sleep quality was found in more women than men, and the Body Mass Index (BMI) was higher in the non-cold type. In the cold type group, average sleep quality was poor and sleep duration was short. There was a statistically significant correlation between cold score, sleep quality, and sleep duration. Cold type was related to the sleep quality. The risk of poor sleep quality increased 1.46 with increased cold type (95% CI = 1.16-1.84, p <.001). In particular, it was found that various programs to improve the quality of sleep, focusing on the cold type among personal characteristics, are needed to maintain adequate sleep to improve the sleep quality. In the future, when analyzing the relationship between cold type and sleep quality, it is thought that an attempt to derive other objective quantitative indicators is needed.

• Journal of Korea Water Resources Association
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• v.54 no.3
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• pp.157-166
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• 2021

Forecasting dam inflow based on high reliability is required for efficient dam operation. In this study, deep learning technique, which is one of the data-driven methods and has been used in many fields of research, was manipulated to predict the dam inflow. The Long Short-Term Memory deep learning with Sequence-to-Sequence model (LSTM-s2s), which provides high performance in predicting time-series data, was applied for forecasting inflow of Soyang River dam. Various statistical metrics or evaluation indicators, including correlation coefficient (CC), Nash-Sutcliffe efficiency coefficient (NSE), percent bias (PBIAS), and error in peak value (PE), were used to evaluate the predictive performance of the model. The result of this study presented that the LSTM-s2s model showed high accuracy in the prediction of dam inflow and also provided good performance for runoff event based runoff prediction. It was found that the deep learning based approach could be used for efficient dam operation for water resource management during wet and dry seasons.

• Journal of Advanced Navigation Technology
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• v.25 no.1
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• pp.96-101
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• 2021

This paper presents a machine learning model that predicts stroke risks in atrial fibrillation patients using public big data. As the training data, 68 independent variables including demographic, medical history, health examination were collected from the Korean National Health Insurance Service. To predict stroke incidence in patients with atrial fibrillation, we applied deep neural network. We firstly verify the performance of conventional statistical models (CHADS2, CHA2DS2-VASc). Then we compared proposed model with the statistical models for various hyperparameters. Accuracy and area under the receiver operating characteristic (AUROC) were mainly used as indicators for performance evaluation. As a result, the model using batch normalization showed the highest performance, which recorded better performance than the statistical model.

• Journal of Environmental Health Sciences
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• v.48 no.2
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• pp.123-129
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• 2022

Background: The Environmental Health Action Program was a national project carried out from 2012~2021. It was aimed at developing public technologies to protect people's health from various environmental hazards. Objectives: One of the final goals of the project was "creating health benefits worth more than 179.2 billion won by reducing the environmental burden of disease." This study aims to evaluate whether the program sufficiently achieved the planned benefits. Methods: In order to secure consistency in evaluation, we applied the same equation used in the goal-setting process. It is comprised of six parameters to estimate the benefit: 1. The amount of medical expenses for environmental diseases; 2. The attributable proportion of environmental risk factors' 3. The rate of reduction in medical expenses for environmental diseases; 4. R&D project contribution; 5. The proportion of successful policy reflection; and 6. The contributions of the project. The corresponding variables were estimated at the end of the project, and the health benefits of the project were recalculated using the newly estimated variables. Results: It was estimated that a total of 195 billion won in health benefits occurred or will occur from 2015 to 2026. The main contributors for achieving the target were an increase in medical expenses for environmental diseases, a high score in the R&D project contribution, and the proportion of successful policy reflection. Conclusions: Technically, the equation used in the project is about medical expenses for environmental diseases rather than about the environmental burden of disease. There are several benefits of using the environmental burden of disease in the evaluation of public health policies. In further studies, developing a policy evaluation framework using indicators such as population attributable fraction would be needed.

• Journal of Gastric Cancer
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• v.22 no.1
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• pp.56-66
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• 2022

Purpose: Nutritional problems after gastrectomy affect continuation of postoperative chemotherapy. There have been no studies limited to total gastrectomy, which is particularly prone to nutritional problems. In this study, we aimed to investigate the factors that predict the continuation of postoperative chemotherapy. Materials and Methods: We included 101 patients who underwent curative total gastrectomy and postoperative chemotherapy at Hiroshima Memorial Hospital. The effects of 37 factors, including perioperative inflammatory, nutritional, and tumor status, on the persistence of postoperative chemotherapy were analyzed. Results: In univariate analysis of preoperative factors, age, carbohydrate antigen 19-9, platelet-to-neutrophil ratio, Onodera's prognostic nutritional index (PNI), controlling nutritional status score, and nutritional risk screening (NRS-2002) score were significantly associated with the duration of postoperative chemotherapy. In multivariate analysis of preoperative factors, age (≥74 years) was an independent factor for a shorter duration of postoperative chemotherapy (hazard ratio [HR], 5.24; 95% confidence interval [CI], 2.19-12.96; P<0.01). In univariate analysis of factors before postoperative chemotherapy, intraoperative blood loss, perioperative weight loss rate, postoperative performance status, PNI, albumin-to-bilirubin index, and NRS-2002 score were significantly associated with the duration of postoperative chemotherapy. In multivariate analysis of factors before postoperative therapy, age (≥74 years) (HR, 5.75; 95% CI, 1.90-19.49; P<0.01) and PNI (<39) (HR, 3.29; 95% CI, 1.26-8.56; P=0.02) were independent factors for a shorter duration of postoperative chemotherapy. Conclusions: Age and PNI are useful predictors of postoperative chemotherapy intolerance after total gastrectomy and may determine the treatment strategy and timing of chemotherapy initiation.