• Journal of Acupuncture Research
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• 제25권4호
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• pp.11-29
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• 2008

Objectives : The purpose of this study was to observe the effects of acupuncture and electro-acupuncture at $LI_4$ on intestinal motility in rat. Methods : We made over-activated state of intestinal motility with carbachol and suppressed state of intestinal motility with loperamide in rat and carried out needle retention acupuncture, low frequency electro-acupuncture and high frequency electro-acupuncture at $LI_4$ or sham point in rat devided into pre-treatment group and post-treatment group. and we resulted as follow for measuring charcoal travel rate to observe intestinal motility. Results : 1. Any of needle retention acupuncture, low frequency electro-acupuncture and high frequency electro-acupuncture at $LI_4$ have no significant influences on intestinal motility of rat in normal state. 2. All of the pre-treatment and post-treatment of needle retention acupuncture, low frequency electro-acupuncture and high frequency electro-acupuncture didn't significantly decrease intestinal motility in rat which over-activated with carbachol. 3. Pre-treatment of needle retention acupuncture and high frequency electro-acupuncture significantly increased intestinal motility in rat which suppressed with loperamide. 4. Post-treatment of needle retention acupuncture, low frequency electro-acupuncture and high frequency electro-acupuncture significantly increased intestinal motility in rat which suppressed with loperamide. Conclusions : These results suggest that acupuncture on $LI_4$ have preventive effect and therapeutic effect on suppressed intestinal motility, and especially high frequency electro-acupuncture is more effective.

• Perspectives in Nursing Science
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• 제12권1호
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• pp.33-41
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• 2015

Purpose: This study attempted to describe hospital nurses' pre-diabetes knowledge, performance and expectation of patient. Methods: The total of 204 hospital nurses were administered the questionnaires. The questionnaire comprises general background information (including sex, age, religion, education and career), ten researcher-generated questions regarding knowledge about pre-diabetes, performance of patient education (including how many people encounter in workplace, how often teaching, how many minutes required to teach and course contents) and expectation (including need improvement of teaching, barrier to education and desirable course contents and teaching methods) Results: The average score of hospital nurses' pre-diabetes knowledge was as low as 0.82 (82% correctness). On comparison of the knowledge levels among ten pre-diabetes knowledge dimensions, the highest score was 0.95 for necessary of medical check-up. The lowest score was 0.57 for complication can rarely happen. Significant correlations were observed for education, career and knowledge regarding pre-diabetes. Moreover, 49.5% of the nurses did not instruct patients about pre-diabetes, 24.5% taught prevention skills to a third of the pre-diabetes patients they encountered, and 61.2% nurses disseminated information under 5 minutes. Improvement was necessary for 78 nurses (75.8%). Conclusion: Pre-diabetes awareness among nurses is necessary.

• 정신신체의학
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• 제11권2호
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• pp.205-213
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• 2003

목 적: 본 연구에서는 집단인지행동치료의 장기적 치료효과를 평가해 보고자 하였으며, 12개월 추적 연구에서 환자들의 상위 최종상태기능을 예측해 볼 수 있는 치료적 변인을 확인하고자 하였다. 방 법: 공황장애로 진단받고 집단인지행동치료를 받은 329명의 환자들을 대상으로 12개월 추적 연구를 하였으며, 최종적으로 분석에 포함된 환자들은 236명이었다. 12개월 추적 연구에서 환자들의 최종상태기능을 확인하였으며, 상위 최종상태기능 집단(HES)과 하위 최종상태기능 집단(LES)을 판별해주는 변인을 알아보기 위해서, 치료 전의 임상적 변인을 대상으로 단계적 판별분석을 실시하였다. 결 과: 집단 인지행동치료를 실시한 후, 12개월 추적 연구 시 75%의 환자들이 상위 최종상태기능을 유지하고 있는 것으로 나타났다. 12개월 추적 연구 시 상위 최종상태기능 집단과 하위 최종상태기능 집단을 판별해 주는 변수로 치료 전에 실시한 BDI(Beck Depression Inventory)와 BSQ(Body Sensation Questionnaire)가 유의미한 것으로 나타났으며, 정확 판별율은 69.2%였다. 결 론: 본 연구를 통하여 공황장애의 집단인지행동치료 이후에 12개월 이상 장기적으로 치료적 효과가 유지됨을 알 수 있었다. 특히 치료 전, 후 변인을 대상으로 판별 분석을 실시한 결과, 우울감이 적고 신체적 증상을 덜 예민하게 경험하는 사람들일수록 인지행동치료의 효과가 장기적으로 잘 유지된다는 사실을 확인할 수 있었다.

• International Journal of Fluid Machinery and Systems
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• 제4권1호
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• pp.209-216
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• 2011

The flow upstream of a centrifugal pump impeller has been investigated by both experimental test and numerical simulation. For experimental study, the flow field at four sections in the pump suction is measured by using PIV method. For calculation, the three dimensional turbulent flow for the full flow passage of the pump is simulated based on RANS equations combined with RNG k-$\varepsilon$ turbulence model. From those results, it is noted that at both design lo ad and quarter load condition, the pre-swirl flow whose direction is the same as the impeller rotation exists at all four sections in suction pipe of the pump, and at each section, the pre-swirl velocity becomes obviously larger at higher rotational speed. It is also indicated that at quarter load condition, the low pressure region at suction surface of the vane is large because of the unfavorable flow upstream of the pump impeller.

• 한국연소학회:학술대회논문집
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• 한국연소학회 2014년도 제49회 KOSCO SYMPOSIUM 초록집
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• pp.285-288
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• 2014

Experiments have been performed for the burners used in the non-oxidizing direct fired furnaces for the cold rolled plate to investigate the effect of fuel/air mixing patterns of the burner nozzle on flame shape, temperature and combustion gas concentration. CFD simulation has also been performed to investigate the mixing state of air-fuel for a nozzle mixing burner and a partially pre-mixing burner. A partially pre-mixing burner showed that flame temperature increased up to $26^{\circ}C$ on average compared than that of the nozzle mixing. It also showed that the mixing distance is important at the partially pre-mixing burner. Test results for a partially pre-mixing burner showed that the residual oxygen concentration and the volume ratio of $CO/CO_2$ of the flame were applicable to be used in field furnaces.

• 융합정보논문지
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• 제12권5호
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• pp.139-149
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• 2022

본 연구는 예비교사의 미래 교육을 위한 인공지능 융합교육 역량을 함양하고, 동시에 학생의 학습 과정에 대한 이해를 증진할 수 있는 교육 프로그램을 개발하고 효과를 분석하는 것을 목적으로 하였다. 이를 위해 물질의 상태 분류를 주제로 머신러닝포키즈와 스크래치3를 활용한 인공지능 융합교육 프로그램을 15주차 분량으로 개발하였다. 개발된 내용은 자발적으로 참여한 K대학교 예비교사들에게 처치되었다. 그 결과, 예비교사들은 머신러닝의 학습을 이해하는 과정을 통해 학생의 학습 과정을 비유적으로 이해할 수 있었다. 또한, 인공지능 교수효능감의 사전-사후 t검정 결과는 t=-7.137(p< .000)으로 통계적으로 유의한 향상을 보였다. 따라서 본 연구에서 개발한 인공지능 융합교육 프로그램은 교생실습 외에 비간접적인 방식으로 예비교사의 학생에 대한 이해를 높일 수 있는데 도움이 되고, 인공지능 교육 역량 함양에 기여할 수 있음이 시사된다.

• Korean Journal of Acupuncture
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• 제25권2호
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• pp.179-197
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• 2008

Objectives and Methods : The purpose of this study was to observe the effects of acupuncture and electro-acupuncture (EA) at PC6 on intestinal motility in rats. We made over-activated state of intestinal motility with carbachol and suppressed state of intestinal motility with loperamide in rat, and carried out acupuncture with needle retained (NR), low frequency (2 Hz) EA and high frequency (100 Hz) EA at PC6 before or after the administration of carbachol or loperamide. The charcoal travel rate was measured to evaluate the intestinal motility. Results : 1. NR showed no significant influences on intestinal motility of rat in normal state. While, 2 Hz EA and 100 Hz EA at PC6 significantly increased the intestinal motility of rat in normal state. 2. All of the pre-treatment and post-treatment of NR, 2 Hz EA and 100 Hz EA at PC6 showed no significant effects on intestinal motility of rat which was over-activated with carbachol. 3. Both pre-treatment and post-treatment of NR significantly increased intestinal motility in rat which was suppressed with loperamide. 4. Pre-treatment of 2 Hz EA and post-treatment of 100 Hz EA significantly increased intestinal motility in rat which was suppressed with loperamide. Conclusions : These results suggest that acupuncture (NR) and EA on PC6 have preventive and therapeutic effect on suppressed intestinal motility, and NR may be more effective than EA in that condition.

• The Plant Pathology Journal
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• 제33권2호
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• pp.125-132
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• 2017

Tan spot (TS), caused by the fungus Pyrenophora tritici-repentis (Died) Drechs, is an important foliar disease of wheat and has become a threat to world wheat production since the 1970s. In this study a globally diverse pre-1940s collection of 247 wheat genotypes was evaluated against Ptr ToxA, P. tritici-repentis race 1, and stem rust to determine if; (i) acquisition of Ptr ToxA by the P. tritici-repentis from Stagonospora nodorum led to increased pathogen virulence or (ii) incorporation of TS susceptibility during development stem rust resistant cultivars led to an increase in TS epidemics globally. Most genotypes were susceptible to stem rust; however, a range of reactions to TS and Ptr ToxA were observed. Four combinations of diseasetoxin reactions were observed among the genotypes; TS susceptible-Ptr ToxA sensitive, TS susceptible-Ptr ToxA insensitive, TS resistant-Ptr ToxA insensitive, and TS resistant-Ptr ToxA toxin sensitive. A weak correlation (r = 0.14 for bread wheat and -0.082 for durum) was observed between stem rust susceptibility and TS resistance. Even though there were no reported epidemics in the pre-1940s, TS sensitive genotypes were widely grown in that period, suggesting that Ptr ToxA may not be an important factor responsible for enhanced prevalence of TS.

• Journal of applied mathematics & informatics
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• 제6권1호
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• pp.111-126
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• 1999

The article is devoted to mathematical modeling of prob-lems of stochastic optimization of the plastic metal working. Classifi-cation and mathematical statements of such problems are proposed. Several calculation techniques of the single goal function are pre-sented. The probability theory and the Fuzzy numbers were applied for solution of the problems of stochastic optimization.

• 로봇학회논문지
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• 제19권2호
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• pp.196-202
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• 2024

The ability to understand given environments and plan a sequence of actions leading to goal state is crucial for personal service robots. With recent advancements in deep learning, numerous studies have proposed methods for state representation in planning. However, previous works lack explicit information about relationships between objects when the state observation is converted to a single visual embedding containing all state information. In this paper, we introduce graph-based state representation that incorporates both object and relationship features. To leverage these advantages in addressing the task planning problem, we propose a Graph Neural Network (GNN)-based subgoal prediction model. This model can extract rich information about object and their interconnected relationships from given state graph. Moreover, a search-based algorithm is integrated with pre-trained subgoal prediction model and state transition module to explore diverse states and find proper sequence of subgoals. The proposed method is trained with synthetic task dataset collected in simulation environment, demonstrating a higher success rate with fewer additional searches compared to baseline methods.