• 소성∙가공
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• 제32권5호
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• pp.276-286
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• 2023

The field of sheet metal forming using press technology has become essential in modern mass production systems. Draw bead is often used to enhance formability. However, optimal draw bead design often requires excessive time and cost due to iterative experimentation and sometimes results in some defects. Given these challenges, there is a need to enhance formability by introducing segmented blank holders without draw beads. In this paper, the feasibility of a localized holding strategy using segmented blank holders is evaluated without the use of draw beads. The possibility for improving the formability was evaluated by utilizing a combination of the forming limit diagram and the wrinkle pattern-based defect indicators. Artificial neural networks were used for predicting defect indicators corresponding to arbitrary input holding forces and the NSGA-II optimization algorithm is used to find optimum blank holder forces yielding better defect indicators than the original process with drawbeads. Using optimum holding forces obtained from the proposed procedure, the stamping process with the segmented blank holders can yield better formability than the conventional process with drawbeads.

• Geomechanics and Engineering
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• 재33권6호
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• pp.611-624
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• 2023

Soil properties make it attractive as a building material due to its mechanical strength, aesthetically appearance, plasticity, and low cost. However, it is frequently necessary to improve and stabilize the soil mechanical properties with binders. Soil-cement is applied for purposes ranging from housing to dams, roads and foundations. Unconfined compression strength (UCS) and split tensile strength (CD) are essential mechanical parameters for ascertaining the aptitude of soil-cement for a given application. However, quantifying these parameters requires specimen preparation, testing, and several weeks. Methodologies that allowed accurate estimation of mechanical parameters in shorter time would represent an important advance in order to ensure shorter deliverable timeline and reduce the amount of laboratory work. In this work, an extensive campaign of UCS and CD tests was carried out in a sandy soil from the Leiria region (Portugal). Then, using the machine learning tool Neural Pattern Recognition of the MATLAB software, a prediction of these two parameters based on six input parameters was made. The results, especially those obtained with resource to a Bayesian regularization-backpropagation algorithm, are frankly positive, with a forecast success percentage over 90% and very low root mean square error (RMSE).

• 소성∙가공
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• 제33권2호
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• pp.96-102
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• 2024

This study addresses evaluation of performance of hardening model for a titanium alloy (Ti6Al4V) based on the artificial neural network (ANN) regarding the strain rate and the temperature. Uniaxial compression tests were carried out at different strain rates from 0.001 /s to 10 /s and temperatures from 575 ℃ To 975 ℃. Using the experimental data, ANN models were trained and tested with different hyperparameters, such as size of hidden layer and optimizer. The input features were determined with the equivalent plastic strain, strain rate, and temperature while the output value was set to the equivalent stress. When the number of data is sufficient with a smooth tendency, both the Bayesian regulation (BR) and the Levenberg-Marquardt (LM) show good performance to predict the flow behavior. However, only BR algorithm shows a predictability when the number of data is insufficient. Furthermore, a proper size of the hidden layer must be confirmed to describe the behavior with the limited number of the data.

• The Journal of Korean Physical Therapy
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• 제21권1호
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• pp.73-80
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• 2009

Purpose: In order to examine difference in the activity of potential of spinal neurons and cortical neurons according to muscle contraction type in post stroke hemiplegic subjects and healthy subjects, the present study conducted an experiment as follows. Methods: The subjects in the experimental group were 17 left-side hemiplegic subjects (9 female, 8 male; mean age, 63.41$\pm$9.86 years) with the right hand as the dominant hand selected among post stroke hemiplegic subjects, and 17 age matched healthy control subjects (10 female, 7 male; mean age, 64.12$\pm$12.07 years). Movement-related cortical potentials (MRCPs) were measured using surface electromyography and electroencephalography while concentric and eccentric movements were made alternately. Results: As to the pattern of the activity of MRCP, which indicates the activity of motor cortical neurons, we found that the amplitude is high (p<0.01), the length of excitement is short (p<0.01) and the ascending gradient of amplitude to the peak increases (p<0.05) in post stroke hemiplegic subjects' lesion sites different from healthy subjects. Conclusion: The activity of cortical neurons was no difference in activity according to contraction type was observed in post stroke hemiplegic subjects' lesion sites. This suggests that there is no distinction in the activity of cortical neurons between concentric contraction and eccentric contraction. Accordingly, if post stroke hemiplegic subjects' activity of motor cortex is analyzed by measuring MRCPs, it is considered useful in research on neural plasticity or as a ground of clinical effects in the area of physical therapy for the central nervous system.

• 대한불안의학회지
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• 제1권1호
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• pp.7-13
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• 2005

Anxiety is one of the basic emotions which human experiences across different cultures in the world and it can be observed in mammals. Our understanding of the neurobiology of this emotion has made some advances, even though it has not been completed, with the development and advance in the investigation method including neuroimaging, neurochemical, and genetic approaches. In this article, the neuroanatomical and neurochemical basis of anxiety is reviewed. The amygdaloid complex has been known to playa key role in processing of anxiety or fear. It has extensive afferent and/or efferent connections with cortical and subcortical structures. The mesial temporal structures including hippocampus appear to be involved in acquisition of anxiety and related behaviors. The prefrontal cortical structures appear to play important roles in conscious awareness of anxiety and in modulating anxiety and related behavior. The bed nucleus of the stria terminalis (BNST) is known to playa critical role in unconditioned fear response. The central noradrenergic system and hypothalamo-pituitary-adrenal axis are known to play important roles in modulating and expressing anxiety-related responses. Anxiety has been gathering attentions from many investigators and numerous preclinical and clinical investigations of anxiety and anxiety disorders have been done. In particular, neural plasticity in critical period and the psychobiological factors related to resilience to extreme stress and anxiety are important issues in this field.

• Advances in nano research
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• 제15권4호
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• pp.315-328
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• 2023

The main goal of the present study was to assess the effects of eggshell powder (ESP) and halloysite nanotubes (HNTs) on the mechanical properties of abaca fiber (AF)-reinforced natural composites. For this purpose, a limited number of indentation tests were first performed on the AF/polypropylene (PP) composites for different HNT and ESP loadings (0 wt.% ~ 6 wt.%), load amplitudes (150, 200, and 250 N), and two types of indenters (Vickers or conical). The Young's modulus, hardness and plasticity index of each specimen were calculated using the indentation test results and Oliver-Pharr method. The accuracy of the experimental results was confirmed by comparing the values of the Young's modulus obtained from the indentation test with the results of the conventional tensile test. Then, a feed-forward shallow artificial neural network (ANN) with high efficiency was trained based on the obtained experimental data. The trained ANN could properly predict the variations of the mentioned mechanical properties of AF/PP composites incorporated with different HNT and ESP loadings. Furthermore, the trained ANN demonstrated that HNTs increase the elastic modulus and hardness of the composite, while the incorporation of ESP reduces these properties. For instance, the Young's modulus of composites incorporated with 3 wt.% of ESP decreased by 30.7% compared with the pure composite, while increasing the weight fraction of ESP up to 6% decreased the Young's modulus by 34.8%. Moreover, the trained ANN indicated that HNTs have a more significant effect on reducing the plasticity index than ESP.

• 한국지반공학회논문집
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• 제15권1호
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• pp.99-112
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• 1999

국내에서 계측된 92개의 측압계수를 이용하여 심도에 따른 측압계수의 경향을 분석하고 Hoek & Brown이 정의한 측압계수의 범위와 비교하였다. 국내의 측압계수는 1이상이 84%로 대부분의 경우 수평응력이 연직응력보다 크게 나타났다. 지반의 침식. 퇴적 및 암반 풍화. 횡압력에 의한 측압계수의 변화를 분석하기 위해 탄소성 이론을 적용하고 그 결과를 유한요소해석과 비교하였다. 측압계수는 지표 침식과 횡압력이 크고 암질이 양호할수록 증가하였고 퇴적의 경우에 감소하였다. 본 연구를 통하여 여러 지질작용이 측압계수에 미치는 영향을 파악할 수 있었고, 특히 지하공동의 굴착 심도인 천부 암반에서의 측압계수 변화를 파악할 수 있었다. 다층 역전파 학습 알고리즘을 적용한 인공신경망을 이용하여 측압계수 예측 전문가 시스템을 개발하였다. 학습률, 모멘텀 상수 그리고 은닉층 노드수를 고려하여 실측치와 상관계수 0.996 이상의 매우 높은 추론율을 보이는 모델을 선정하였다 학습에서 제외한 9개 계측자료로 이 모델을 검증한 결과, 추론오차의 평균은 20%였으며 상관계수도 0.95 이상으로 측압계수를 예측하는데 있어 높은 신뢰성을 보였다.

• 생명과학회지
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• 제31권9호
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• pp.806-817
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• 2021

우울증 발생 기전에 신경가소성의 손상이 관여한다. Sirtuin 1은 신경가소성의 조절에 중요한 역할을 담당하고 있다. 또한 mTORC1 신호전달의 활성화가 신경가소성을 향상시키는 것으로 알려져 있다. 본 연구는 sirtuin 1이 mTORC1 신호전달을 통해 수상돌기 성장과 가시형성에 미치는지 영향을 조사하였다. 덱사메타손이 처치된 신경세포와 정상 배양 신경세포에 resveratrol (sirtuin 1 활성제)과 sirtinol (sirtuin 1 억제제)을 각각 처치하였다. Western blot 분석법을 사용하여, sirtuin 1 발현 및 ERK1/2, mTORC1, p70S6K의 인산화 양을 분석하였고, 면역형광측정법으로 수상돌기의 길이와 가시밀도를 분석하였다. Resveratrol은 덱사메타손 환경에서 농도 의존적으로 sirtuin 1의 발현을 증가시켰으며, ERK1/2 (sirtuin 1의 하위 타겟), mTORC1, 그리고 p70S6K (mTORC1의 하위 타겟)의 인산화를 유의하게 증가시켰다. 또한 resveratrol은 수상돌기 성장과 가시밀도를 증가시켰다. 반면, sirtinol은 정상 배양액에서 sirtuin 1의 발현을 유의하게 감소시켰으며, ERK1/2, mTORC1, p70S6K의 인산화 양을 농도 의존적으로 유의하게 감소시켰다. 또한 sitinol은 수상돌기 성장과 가시밀도를 유의하게 감소시켰다. 신경세포에 sirtuin 1의 siRNA를 transfection시켜 sirtuin 1을 knockdown 시켰을 때, ERK1/2 및 mTORC1의 인산화 양이 감소하였을 뿐만 아니라, 수상돌기 성장과 가시밀도도 감소하였다. 본 연구는 sirtuin 1이 ERK1/2-mTORC1 신호전달을 통해서 수상돌기 성장과 가시밀도를 변화시켜 신경가소성을 조절한다는 것을 보여주었다.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2005년도 추계학술대회 논문집
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• pp.113-117
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• 2005

In the modern days, a galvannealed sheet steel (GA) instead of a cold rolled steel sheet has been widely used as an alternative to extend the life of automotive body. Accordingly, the mechanical properties of GA for automobiles were taken into account and studied by comparing with the temperature variation on annealing in this study. To clarify the effect of surface features in the mechanical and frictional properties of GA, the several tests such as nanoindentation, victors hardness and nano scratch test were executed. The developed neural networks apply also to obtain reliable mechanical properties of the thin films. Load-displacement curve was computed by the analysis procedure and compared with experimental results. The frictional characteristics of coating layers in GA were verified though nano scratch test in this study. The friction coefficient of coating layers on the surface was obtained from the nano scratch. The variation of friction coefficient versus velocity and pressure was taken into consideration in this paper.

• BMB Reports
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• 제49권1호
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• pp.1-2
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• 2016

Of the numerous events that occur in daily life, we readily remember salient information, but do not retain most less-salient events for a prolonged period. Although some of the episodes contain putatively emotional aspects, the information with lower saliency is rarely stored in neural circuits via an unknown mechanism. We provided substantial evidence indicating that synaptic plasticity in the dorsal ITC of amygdala allows for selective storage of salient emotional experiences, while it deters less-salient experience from entering long-term memory. After activation of D4R or weak fear conditioning, STDP stimulation induces LTD in the LA-ITC synapses. This form of LTD is dependent upon presynaptic D4R, and is likely to result from enhancement of GABA release. Both optogenetic abrogation of LTD and ablation of D4R at the dorsal ITC in vivo lead to heightened and over-generalized fear responses. Finally, we demonstrated that LTD was impaired at the dorsal ITC of PTSD model mice, which suggests that maladaptation of GABAergic signaling and the resultant LTD impairment contribute to the endophenotypes of PTSD. [BMB Reports 2016; 49(1): 1-2]