• Journal of Sasang Constitutional Medicine
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• v.27 no.2
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• pp.222-230
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• 2015

Objectives The purpose of this study is to design a research to find clinical factors involved in the decision-making process for determining the constitutional prescription based on prospective clinical data. Methods We have created a draft of the case report form. Therefore, seven constitutional experts was interviewed for additional items to be important used to determine the constitutional prescription in clinic. Interviews were done from December 2012 to March 2014, experts per person 2-3 times, took time of about 120 minutes per interview. Since then, we developed the final case report form through the expert meeting. At the same time, the developing the electronic case report form (eCRF) and the protocol to collect constitutional treatment cases was also discussed. Results & Conclusions The items of the case report form were subject general, lifestyle, health measurement, record of expert, prescription and evaluation after medication. The part of the clinical symptoms of the record of expert allowed to be recorded in the 5-point scale for the collection of quantitative data as much as possible. Assuming a re-visit of the patient, if necessary, twice the recording were to be possible. At the same time, the eCRF and the protocol to collect constitutional treatment cases were also developed. In this study, it will be able to more objectively standardize the medical decision making process that the experts of constitutional prescription decision. As a result, it will be possible to provide the standardized constitutional medical services.

• Journal of KIBIM
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• v.11 no.3
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• pp.22-33
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• 2021

In order to maximize the use of BIM, all data related to individual elements in the model must be correctly assigned, and it is essential to check whether it corresponds to the IFC entity classification. However, as the BIM modeling process is performed by a large number of participants, it is difficult to achieve complete integrity. To solve this problem, studies on semantic integrity verification are being conducted to examine whether elements are correctly classified or IFC mapped in the BIM model by applying an artificial intelligence algorithm to the 2D image of each element. Existing studies had a limitation in that they could not correctly classify some elements even though the geometrical differences in the images were clear. This was found to be due to the fact that the geometrical characteristics were not properly reflected in the learning process because the range of the region to be learned in the image was not clearly defined. In this study, the CRF-RNN-based semantic segmentation was applied to increase the clarity of element region within each image, and then applied to the MVCNN algorithm to improve the classification performance. As a result of applying semantic segmentation in the MVCNN learning process to 889 data composed of a total of 8 BIM element types, the classification accuracy was found to be 0.92, which is improved by 0.06 compared to the conventional MVCNN.

• Smart Media Journal
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• v.7 no.4
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• pp.17-23
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• 2018

We proposed a LSTM-based RNN model that can effectively perform the automatic spacing characteristics. For those long or noisy sentences which are known to be difficult to handle within Neural Network Learning, we defined a proper input data format and decoding data format, and added dropout, bidirectional multi-layer LSTM, layer normalization, and attention mechanism to improve the performance. Despite of the fact that Sejong corpus contains some spacing errors, a noise-robust learning model developed in this study with no overfitting through a dropout method helped training and returned meaningful results of Korean word spacing and its patterns. The experimental results showed that the performance of LSTM sequence-to-sequence model is 0.94 in F1-measure, which is better than the rule-based deep-learning method of GRU-CRF.

• Herbal Formula Science
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• v.27 no.2
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• pp.137-149
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• 2019

Objective : This study is conducted in order to investigate the effect of Banggibongnyeongtang(BBT) on Lipopolysaccharide (LPS)-induced depression. Method : LPS $5{\mu}g$ was injected to lateral ventricle. Experimental groups were administered BBT intraperitoneally. Depressive behavior was confirmed by weight change, sucrose preference, open field test(OFT), and forced swimming test(FST). The plasma concentration of $IL-1{\beta}$ and $TNF-{\alpha}$, Corticotropin-Releasing Factor(CRF), Adrenocorticotropin Hormone(ACTH) and Corticosterone(CORT) were measured by ELISA. Result : BBT did not change the body weight significantly than LPS group, but on sucrose preference, BBT increased significantly in LPS+BBT400 group compared to LPS group (P<0.05). In the OFT, BBT increased spending time in the central zone and decreased grooming number. LPS+BBT400 group increased central zone-spending time, and decreased grooming number than LPS group significantly (P<0.05). In the FST, LPS+BBT400 group decreased immobility time than LPS group significantly (P<0.05). BBT decreased $IL-1{\beta}$ concentration does-dependently, but only with significant decrease in LPS+BBT400 group than LPS group in plasma (P<0.05). But BBT did not decrease $TNF-{\alpha}$ concentration significantly in plasma. BBT decreased plasma CRF, ACTH, and CORT. And CRH and CORT of LPS+BBT400 group were shown significant decrease comparing with LPS group (P<0.05). Conclusion : It is postulated that the anti-depressant effect of BBT can be validated through inhibition of HPA axis abnormal activity by the anti-inflammatory effect.

• Analytical Science and Technology
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• v.21 no.4
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• pp.245-258
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• 2008

Five triterpenic acids as marker compounds were extracted and isolated from Prunellae Spica by column chromatography and reversed-phase high-performance liquid chromatography (HPLC), and their purity was determinated by HPLC (purity ${\geq}90%$). Molecular weight and elemental compositions of the five marker compounds were determined by fast atom bombardment high-resolution mass spectrometry (FAB-HRMS). The structural determination of the five marker compounds was carried out fast atom bombardment collision-induced dissociation tandem mass spectrometry (FAB-CID-MS/MS). The collision-induced dissociation (CID) of protonated molecules $[M+H]^+$ and deprotonated molecules $[M-H]^-$ produced diverse product ions due mainly to retro Diels-Alder reaction (RDA), dehydration and decarboxylation. Moreover, the CID-MS/MS spectra of the $[M-H]^-$ ions were observed charge-remote fragmentation (CRF) patterns. On the basis of interpretation of CID-MS/MS spectra, structural elucidation of triterpenic acids isolated from Prunellae Spica was clearly performed.

• Journal of Chest Surgery
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• v.38 no.12 s.257
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• pp.828-834
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• 2005

Background: Off-pump coronary artery bypass grafting (OPCAB) has shown better outcome in chronic renal failure (CRF) patients by avoiding the effects of cardiopulmonary bypass. We evaluated renal function after OPCAB in CRF patients. Material and Method: 656 patients underwent OPCAB between January, 2001 and December, 2004. Data were collected in 26 CRF patients (Cr > 1.7 mg/dL). Preoperative/postoperative creatinine (Cr) levels, creatinine clearance and postoperative data were evaluated. We divided the patients into group 1 (Cr < 3 mg/dL) and group 2 (Cr $\geq$ 3 mg/dL). Result: Three patients started dialysis after surgery. Preoperative mean creatinine level (4.19$\pm$3.4 mg/dL) was elevated to 4.36$\pm$2.7 mg/dL at the third postoperative day and decreased below Preoperative level at the fifth postoperative day. In group 1 (mean Cr level=1.87$\pm$0.25 mg/dL), Cr level reached its peak level of 2.19$\pm$0.52 mg/dL at the fourth postoperative day (p=0.017), with subsequent decrease. Patients without pre- or postoperative dialysis (n=15) showed peak Cr elevation on postoperative day four (p=0.017) and subsequent decrease (p=0.01). Postoperative creatinine clearance showed reverse correlation with creatinine level. Conclusion: Creatinine level was elevated at third/fourth postoperative day, but decreased 5 days after surgery. Thus, if urgent dialysis is not indicated, postoperative renal replacement therapy in CRF patients may be better to be considered after four days observation.

• Childhood Kidney Diseases
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• v.4 no.2
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• pp.92-101
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• 2000

Purpose : We analyzed the demogaphic data md clinical course of Korean children with chronic renal failure (CRF) observed between 1990 and 1999. Patients and Methods : Questionnaires were mailed to all children's hospitals ail through the country. We asked for primary renal disease age and serum creatinine levels at first presentation with CRF and end-stage renal disease (ESRD), and modes of renal replacement therapy (RRT). Results : 401 children (254 boys, 147 girls) with CRF, defined as a permanent increase of serum creatinine above 1.2 mg/dl for at least 3 months or until death, were identified. This represents an incidence of 3.68 per million child population per year. Of these patients, 22$\%$ on younger than 5 years, 28$\%$ 5 to 10 years and 50$\%$ 10 to 15 year. Eight five $\%$ of the patients could be classified with a primary renal disease. The most frequent cause is glomerulonephritis (36$\%$), followed by chronic pyelonephritis (21$\%$), renal hrpo/dylplasia (9$\%$), and hereditary nephropathies (7$\%$). Reflux nephropathy (16$\%$) was the most common single cause of CRF. ESRD was reached in 70$\%$ of all patient. 99.3$\%$ of these started RRT. Hemodialysis (HD, 42$\%$), peritoneal dialysis (PD, 35$\%$) and transplantation (TP, 23$\%$) were performed as the initial mode of RRT. A total of 161 TPs were performed (159 first grafts, 2 second grafts). A total of 32 patients died. The main causes of death were dialysis related complication in HD patients and infections in PD patients. Survival rate on any form of RRT was 88.7$\%$ during the mean follow-up period of 37 months. Conclusion Major efforts should be directed toward earlier diagnosis and treatment of reflux nephropathy to prevent occurrence of Of. Dialysis and TP have now become well accepted forms of treatment in Korean children with ESRD.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.8
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• pp.1270-1277
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• 2014

This study investigated the quality characteristics of instant rice noodles manufactured with broken rice flour as an application of rice-processed products. We examined the physicochemical characteristics of common rice flour (CRF), broken rice flour (BRF), and CRF mixed with BRF (CBRF). Futhermore, instant rice noodles were manufactured with these three types of rice flour, and their quality and sensory characteristics were also investigated. Damaged starch content and water-binding capacity of rice flour were highest in BRF. Particle size of rice flour was significantly different among the three types. RVA pasting viscosities of BRF and CBRF were higher than that of CRF. Volume after cooking of instant rice noodles increased in rice noodles made with broken rice flour (BRN). Turbidity and cooking loss of BRN were higher than those of common rice noodles (CON). For texture properties, CON displayed the highest hardness, adhesiveness, and chewiness. In the sensory evaluation, springiness and overall acceptability values of CON were significantly higher than those of other rice noodle types (BRN and CBRN). In conclusion, BRN showed increased cooking loss and turbidity with reduced texture and overall acceptability values. The results of this study suggest that added amount of CRF may significantly increase the overall quality of instant rice noodles prepared with BRF.

• The Journal of Korea Robotics Society
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• v.12 no.3
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• pp.249-257
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• 2017

This paper proposes a method to segment urban scenes semantically based on location prior information. Since major scene elements in urban environments such as roads, buildings, and vehicles are often located at specific locations, using the location prior information of these elements can improve the segmentation performance. The location priors are defined in special 2D coordinates, referred to as road-normal coordinates, which are perpendicular to the orientation of the road. With the help of depth information to each element, all the possible pixels in the image are projected into these coordinates and the learned prior information is applied to those pixels. The proposed location prior can be modeled by defining a unary potential of a conditional random field (CRF) as a sum of two sub-potentials: an appearance feature-based potential and a location potential. The proposed method was validated using publicly available KITTI dataset, which has urban images and corresponding 3D depth measurements.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.321-323
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• 2017

개체명 인식은 문서 내에서 고유한 의미를 갖는 인명, 기관명, 지명, 시간, 날짜 등을 추출하여 그 종류를 결정하는것을 의미한다. Bidirectional LSTM CRFs 모델은 연속성을 갖는 데이터에 가장 적합한 RNN기반의 심층 학습모델로서 개체명 인식 연구에 가장 우수한 성능을 보여준다. 본 논문에서는 한국어 개체명 인식을 위하여 Bidirectional LSTM CRFs 모델을 사용하고, 입력 자질로 단어뿐만 아니라 품사 임베딩 모델과, 개체명 사전을 활용하여 입력 자질을 구성한다. 또한 입력 자질에 대한 벡터의 크기를 최적화 하여 기본 모델보다 성능이 향상되었음을 증명하였다.