• The Journal of the Society of Stroke on Korean Medicine
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• v.7 no.1
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• pp.34-39
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• 2006

Objectives and methods : The Euibujipsung is the one of the huge-scale encyclopedias about Oriental Medicine. To investigate the most frequently used acupoints for hemiparesis after stroke, we used Euibujipsung CR-ROM database with several key words concerned with motor weakness (半身不遂 不遂不隨 癱瘓 中臟 中腑 風痱, etc.). Results : In the result, we found five popular acupoints (GV20, LI11, LI15, ST36 and GB39), and four meridians (Stomach, Gall bladder, Large intestine and Small intestine). We also found that the Yang meridians were cited more frequently than the Yin. Conclusion : Therefore we think that these findings can give further ideas to clinical practice and research fields for stroke rehabilitation in Oriental medicine.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1951-1975
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• 2023

Recent advances in Cognitive Radio Networks (CRN) have elevated them to the status of a critical instrument for overcoming spectrum limits and achieving severe future wireless communication requirements. Collaborative spectrum sensing is presented for efficient channel selection because spectrum sensing is an essential part of CRNs. This study presents an innovative cooperative spectrum sensing (CSS) model that is built on the Firefly Algorithm (FA), as well as machine learning artificial neural networks (ANN). This system makes use of user grouping strategies to improve detection performance dramatically while lowering collaboration costs. Cooperative sensing wasn't used until after cognitive radio users had been correctly identified using energy data samples and an ANN model. Cooperative sensing strategies produce a user base that is either secure, requires less effort, or is faultless. The suggested method's purpose is to choose the best transmission channel. Clustering is utilized by the suggested ANN-FA model to reduce spectrum sensing inaccuracy. The transmission channel that has the highest weight is chosen by employing the method that has been provided for computing channel weight. The proposed ANN-FA model computes channel weight based on three sets of input parameters: PU utilization, CR count, and channel capacity. Using an improved evolutionary algorithm, the key principles of the ANN-FA scheme are optimized to boost the overall efficiency of the CRN channel selection technique. This study proposes the Artificial Neural Network with Firefly Algorithm (ANN-FA) for cognitive radio networks to overcome the obstacles. This proposed work focuses primarily on sensing the optimal secondary user channel and reducing the spectrum handoff delay in wireless networks. Several benchmark functions are utilized We analyze the efficacy of this innovative strategy by evaluating its performance. The performance of ANN-FA is 22.72 percent more robust and effective than that of the other metaheuristic algorithm, according to experimental findings. The proposed ANN-FA model is simulated using the NS2 simulator, The results are evaluated in terms of average interference ratio, spectrum opportunity utilization, three metrics are measured: packet delivery ratio (PDR), end-to-end delay, and end-to-average throughput for a variety of different CRs found in the network.

• Journal of Korean Tunnelling and Underground Space Association
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• v.12 no.1
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• pp.75-85
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• 2010

The focus of this study is to evaluate the field applicability of the newly developed inorganic thixotropic-grout in various ways. In order to do this, the volume stability and the permeability of the inorganic thixotropic-grout have been measured and compared to the existing silica type grouts. In addition, the filling capability of the grout into the tail void has been evaluated through both an experiment with a miniature tail-void filling equipment and a test filling at the shield TBM construction site. The volume loss of the inorganic thixotropic-grout after a 14 day-curing under the atmosphere condition was appeared to be minimal. The excellent waterproofing ability of the inorganic thixotropic-grout was confirmed through a permeability test. The toxicity of the inorganic thixotropic-grout has been evaluated through a toxicity test of aquatic fishes (KS M 0111) and the pH value of the liquid eluviated from inorganic thixotropic-grout was measured as an average of 8.0 and a fatality rate of goldfish after 96 hours was 10% or so. The existence of harmful heavy metals in the liquid eluviated from the inorganic thixotropic-grout has been also examined through an atomic absorption spectroscopy (AAS) test. Any of harmful heavy metals were not detected and the detected level of $Cr^{6+}$ and Cd was far below the standard. Based on both an experiment with a miniature tail-void filling equipment and a test filling at the shield TBM construction site, the filling ability of inorganic thixotropic-grout into the tail void was proved to be excellent.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.285-294
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• 2019

The purpose of this study is to assess construct validity and verify the concept of the Happiness-enhancing Activities and Positive Practices Inventory(HAPPI) developed by Henricksen & Stephens(2013), for Korean old adults who participating physical activities with measuring happiness-related propensity. In this study, the research model was confirmed by evidenced based on the content validity, EFA, construct validity of the latent structure analysis with CFA, reliability as internal consistency. Using self-reported questionnaire conducted among 370 participants who physical activities. Total of 344 data were selected. As a result, internal consistency α was acceptable. Evidence-based on convergent and discriminant of the CFA as GFI=.925, CFI .962, TLI .953, and RMSEA .062 appeared significantly. Model goodness-of-fit, C.R. ratio(Critical ratio: estimates/SE) and Squared Multiple Correlations(SMC), and average variance extracted(AVE) was verified with the hypothesis of the model. Therefore, HAPPI validity evidence for the model fit was confirmed. In conclusion, the HAPPI 4 factors and 16 items(Other-focused, Personal recreation and interests, Achievement, Self-Concordant Work, Spiritual and thought-related) has reliable evidence to apply for Korean old adults and applicable assessment of happiness.

• Korean Journal of Health Psychology
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• v.16 no.1
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• pp.169-187
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• 2011

The present study explored psychosocial characteristics of infants with genital anomalies (GA) and their caregivers against normal controls. Participants were female caregivers and infants between the ages of 6to38months diagnosed with hypospadias(HS;n=103) or cryptorchidism (CR;n=49). Normalcontrols(n=131) were recruited and selected via Internet. Caregivers completed measures on parenting stress, coping style, social support, and infant temperament. Within the GAgroups, HScaregivers reported their greatest parental concerns as infant urination/bodily functioning difficulties whereas CRcaregivers reported worries related to surgical anesthesia issues. Both groups reported concern about their children's potential reproductive problems. Per caregiver report, infants with GA had lower ability to self-soothe. HS infants in particular were perceived as exhibiting greater negative emotion. Compared with controls, HS and CRcaregivers overall employed coping strategies more frequently and had lower interpersonal sensitivity and parental distress. However, HScaregivers emerged as experiencing higher stress when compared to the CRgroup. There were no differences in to tal parenting stress and social support scores between groups. Further, CRcaregivers reported lower levels of family discord than controls. Despite temperament-related differences between infants with GA and normal controls, HS and CRcaregivers reported lower parental distress and greater use of coping skills as compared to controls. Clinical implications are discussed.

• The Journal of Internal Korean Medicine
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• v.44 no.4
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• pp.661-674
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• 2023

Abstract: This retrospective study delved into the effects and safety considerations associated with the concomitant usage of hypoglycemic agents and herbal extracts, specifically Pyeongwi-san (PWS) or HyangsaPyongwi-san (HSPWS) in the context of type 2 diabetes mellitus management. Methods: The investigation involved 38 inpatients with type 2 diabetes mellitus who received PWS or HSPWS treatment at Kyung Hee University Korean Medical Hospital from January 2012 to December 2022. By investigating clinical attributes and conducting laboratory assessments, this study aimed to discern the impact of these herbal extracts on blood glucose levels, encompassing fasting blood sugar (FBS) and mean 2-hour postprandial glucose (PP2) levels. Furthermore, the safety profile of the herbal extracts was assessed by comparing liver function indicators, including aspartate aminotransferase (AST), alanine aminotransferase (ALT), and γ-glutamyl transferase (GGT), alongside kidney function markers, such as blood urea nitrogen (BUN) and creatinine (Cr). Results: Following the administration of the herbal extracts, no statistically significant alterations in FBS and mean PP2 levels emerged compared to the baseline levels. Notably, the safety evaluation revealed no significant differences in liver and kidney function parameters following herbal extract administration. Conclusion: The results of this research indicate that using PWS or HSPWS alongside hypoglycemic medications could be a beneficial additional method for addressing digestive symptoms in individuals with type 2 diabetes mellitus. Notably, this combination seems to have no negative interactions with other drugs.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2021.04a
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• pp.19-19
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• 2021

경남 양산의 천성산에서만 생육하는 산림청·국립수목원 지정 희귀식물(Critically Endangered, CR) 주걱댕강나무 개체군을 대상으로 20개소의 방형구(10×10m, 100m²) 내 개체의 특성(개체수, 개화, 결실 등), 종자의 활력검정, 차광처리에 따른 생육 특성 및 우리나라 전역의 생육가능성에 대해 알아보았다. 20개소의 대상지에서 확인한 개체수는 총 3,270개체이며, 평균 개체밀도는 1.635/m²이다. 평균 수고는 1.1m 정도이며, 평균개화율은 27.37%이고 개화는 1.0~1.8m(평균수고 1.39m) 수고에서 집중되었다. 한편, 결실률은 평균 1.67%로 매우 낮았다. 종자의 크기는 평균 너비 0.27mm, 높이 0.18mm 정도로 너무 작아 X-ray 촬영을 통한 충실검정은 확인할 수 없었다. 종자를 1% Agar배지에 종자를 치상한 후 온도조건(15, 20, 25℃)에 따른 실험 및 온도(15, 20, 25℃)와 GA3 농도(100, 250, 500PPM)처리 실험 모두 발아율은 0%였다. 결실률이 매우 낮고, 종자 발아율 또한 낮으며 지하경을 뻗는 특성으로 보아 종자는 휴면종자이며 영양생장을 취하는 것으로 판단된다. 차광처리에 따른 생육 특성 실험 결과, 신초는 평균 30.6mm 성장, 엽록소 평균 함량 25.30, 잎의 수 평균 8.32개, 잎 길이 평균 35.93mm, 잎 폭 평균 20.37mm정도 성장하여 엽면적은 평균 761.10mm로 나타났다. 생육은 조도계를 활용한 실 차광률로 볼 때, 67.8% > 82.8% > 88.2% > 43.2% > 91.9%의 순서로 나타났다. 주걱댕강나무 자생지 내 수관열림도가 21.86%로 이를 차광률로 환산할 경우 70%내외의 차광률에서 생육이 효율적인 것을 확인하였다. 기후대별로 5개소에 이식한 주걱댕강나무는 이듬해까지 모두 생육이 원활하였다. A. spathulata를 Diabelia ionostachya종들과 가까운 유연관계를 가진다는 연구에서 D. ionostachya 샘플은 위도상 강원도 고성군에 속하고 있어 우리나라 대부분 지역에서 식재가 가능할 것으로 판단된다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2021.04a
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• pp.21-21
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• 2021

주걱댕강나무는 경남 양산의 천성산에서만 생육하는 산림청·국립수목원 지정 희귀식물(Critically Endangered, CR)로 현지외 보전 및 대체 서식지 조성을 위해 번식 특성에 대해 알아보았다. 종자번식의 경우 450립의 종자를 저장방법에 따라 파종한 결과 노천매장 3.56%, 저온건조저장 0.67%, 습사저온저장 0.22%로 발아율이 매우 저조하였으며, 배양토 조건에 따라 직파 실험한 결과 모래 2.44%, 원예용 상토 2.22%, 현지내 산림토 1.11%, 현지외 산림토 0%로 이 또한 발아율이 매우 저조하였다. 삽목번식의 경우 숙지삽은 모래+펄라이트 36.1%, 모래 31.1%, 원예용 상토 20.0%로 나타났으며, 휴면지 삽수의 발근촉진제 처리 효과는 IBA 1,000PPM에서 37.8%, IBA 7,000PPM 30.0%, 무처리 28.9%, IBA 5,000PPM 27.8%의 발근율을 보였고 신초길이, 뿌리의 수, 뿌리 길이는 전반적으로 발근촉진제 처리와 함께 농도가 높아질수록 뿌리 성장이 왕성한 것으로 나타났다. 녹지삽은 모래 80%, 모래+펄라이트 76.7%, 피트모스+마사토 73.3%, 피트모스+펄라이트+버미큘라이트 70.0% 순이며, 왕모래와 왕모래+마사토는 26.7%와 36.7%로 다소 저조하였다. 녹지삽수의 굵기는 4mm이상 구간에서 발근율이 73.3%로 가장 높았으며, 녹지삽수의 길이는 7~8cm 구간에서 80.0%로 가장 높게 나타나 삽수의 굵기가 굵고 8cm내외의 길이가 효율적인 것으로 나타났다. 근삽은 발아율이 88.3~96.7%로 모든 배양토에서 높게 나타났다. 근삽수 직경 7~8mm에서 100%이며 3~4mm 또한 91%로 나타났다. 근삽수 길이는 4~5cm와 10~11cm에서 100%, 6~7cm 88.1%, 8~9cm 94.4%로 나타나 4~5cm를 제외하고는 삽수 길이가 길수록 신초 생장과 발근이 비례하는 것을 확인하였다. 주걱댕강나무는 실생보다 삽목번식이 더 효율적이며, 그 중 근삽이 가장 발근율이 높다. 배양토는 모래 단용구를 제외하고는 평균 95%이상으로 나타났으며, 근삽수는 직경이 굵고 길수록 신초 생장과 발근이 왕성하다. 따라서, 현지외 보전을 위해 향후 휴면성의 종자 발아 연구가 필요하며, 영양번식을 할 경우 근삽이 가장 효율적인 것을 확인하였다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.3
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• pp.10-18
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• 2024

Vehicle loading is one of the main causes of bridge deterioration. Although WiM (Weigh in Motion) can be used to measure vehicle loading on a bridge, it has disadvantage of high installation and maintenance cost due to its contactness. In this study, a non-contact method is proposed to estimate the vehicle loading history of bridges using deep learning and CCTV images. The proposed method recognizes the vehicle type using an object detection deep learning model and estimates the vehicle loading based on the load-based vehicle type classification table developed using the weights of empty vehicles of major domestic vehicle models. Faster R-CNN, an object detection deep learning model, was trained using vehicle images classified by the classification table. The performance of the model is verified using images of CCTVs on actual bridges. Finally, the vehicle loading history of an actual bridge was obtained for a specific time by continuously estimating the vehicle loadings on the bridge using the proposed method.

• Korean Journal of Radiology
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• v.22 no.11
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• pp.1918-1928
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• 2021

Objective: With the recent development of various MRI-conditional cardiac implantable electronic devices (CIEDs), the accurate identification and characterization of CIEDs have become critical when performing MRI in patients with CIEDs. We aimed to develop and evaluate a deep learning-based algorithm (DLA) that performs the detection and characterization of parameters, including MRI safety, of CIEDs on chest radiograph (CR) in a single step and compare its performance with other related algorithms that were recently developed. Materials and Methods: We developed a DLA (X-ray CIED identification [XCID]) using 9912 CRs of 958 patients with 968 CIEDs comprising 26 model groups from 4 manufacturers obtained between 2014 and 2019 from one hospital. The performance of XCID was tested with an external dataset consisting of 2122 CRs obtained from a different hospital and compared with the performance of two other related algorithms recently reported, including PacemakerID (PID) and Pacemaker identification with neural networks (PPMnn). Results: The overall accuracies of XCID for the manufacturer classification, model group identification, and MRI safety characterization using the internal test dataset were 99.7% (992/995), 97.2% (967/995), and 98.9% (984/995), respectively. These were 95.8% (2033/2122), 85.4% (1813/2122), and 92.2% (1956/2122), respectively, with the external test dataset. In the comparative study, the accuracy for the manufacturer classification was 95.0% (152/160) for XCID and 91.3% for PPMnn (146/160), which was significantly higher than that for PID (80.0%,128/160; p < 0.001 for both). XCID demonstrated a higher accuracy (88.1%; 141/160) than PPMnn (80.0%; 128/160) in identifying model groups (p < 0.001). Conclusion: The remarkable and consistent performance of XCID suggests its applicability for detection, manufacturer and model identification, as well as MRI safety characterization of CIED on CRs. Further studies are warranted to guarantee the safe use of XCID in clinical practice.