• Title/Summary/Keyword: Long Term Response

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Long-Term Follow-Up Result of Hydroxyurea Chemotherapy for Recurrent Meningiomas

  • Kim, Min-Su;Yu, Dong-Woo;Jung, Young-Jin;Kim, Sang Woo;Chang, Chul-Hoon;Kim, Oh-Lyong
    • Journal of Korean Neurosurgical Society
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    • v.52 no.6
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    • pp.517-522
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    • 2012
  • Objective : Meningiomas represent 18-20% of all intracranial tumors and have a 20-50% 10-year recurrence rate, despite aggressive surgery and irradiation. Hydroxyurea, an inhibitor of ribonucleotide reductase, is known to inhibit meningioma cells by induction of apoptosis. We report the long-term follow-up result of hydroxyurea therapy in the patients with recurrent meningiomas. Methods : Thirteen patients with recurrent WHO grade I or II meningioma were treated with hydroxyurea (1000 $mg/m^2/day$ orally divided twice per day) from June 1998 to February 2012. Nine female and 4 male, ranging in age from 32 to 83 years (median age 61.7 years), were included. Follow-up assessment included physical examination, computed tomography, and magnetic resonance imaging (MRI). Standard neuro-oncological response criteria (Macdonald criteria) were used to evaluate the follow-up MRI scans. The treatment was continued until there was objective disease progression or onset of unmanageable toxicity. Results : Ten of the 13 patients (76.9%) showed stable disease after treatment, with time to progression ranging from 8 to 128 months (median 72.4 months; 6 patients still accruing time). However, there was no complete response or partial response in any patients. Three patients had progressive disease after 88, 89, 36 months, respectively. There was no severe (Grade III-IV) blood systemic disorders and no episodes of non-hematological side effects. Conclusion : This study showed that hydroxyurea is a modestly active agent against recurrent meningiomas and can induce long-term stabilization of disease in some patients. We think that hydroxyurea treatment is well tolerated and convenient, and could be considered as an alternative treatment option in patients with recurrent meningiomas prior to reoperation or radiotherapy.

Dynamic Response of Dependency Ratio on Government Expenditures in Indonesia

  • ZULKARNAIN, Teuku;HAZMI, Yusri;NASIR, Muhammad;FAISAL, Faisal;HUSIN, Dasmi
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.2
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    • pp.71-79
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    • 2022
  • The aim of this study is to see how government spending on education, health, and social security affects ratios in Indonesia. The third sector has a critical role to play in reducing the dependency ratio. It also aims to lower unemployment and poverty rates. This study uses the GMM panel data model. This model can determine the dynamic response of the ratio that comes from a number of variables. This study uses data from 33 provinces from 2010 to 2018. The results show that government spending in the education and health sectors has a positive effect on the dependency ratio, both in the short and long term. Social security has a significant effect on the dependency ratio in the long term, but not in the short term. Government spending in the education sector and health sector and social security sector have a positive and significant effect on disease and illness. The study's findings show a high level of poverty with a large standard deviation. The high ratio value is due to the large number of restrictions placed on a number of regions. Each province has made a significant contribution to overcoming these challenges, particularly in terms of the comparative ratio.

Relationship between reactive oxygen species and autophagy in dormant mouse blastocysts during delayed implantation

  • Shin, Hyejin;Choi, Soyoung;Lim, Hyunjung Jade
    • Clinical and Experimental Reproductive Medicine
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    • v.41 no.3
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    • pp.125-131
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    • 2014
  • Objective: Under estrogen deficiency, blastocysts cannot initiate implantation and enter dormancy. Dormant blastocysts live longer in utero than normal blastocysts, and autophagy has been suggested as a mechanism underlying the sustained survival of dormant blastocysts during delayed implantation. Autophagy is a cellular degradation pathway and a central component of the integrated stress response. Reactive oxygen species (ROS) are produced within cells during normal metabolism, but their levels increase dramatically under stressful conditions. We investigated whether heightened autophagy in dormant blastocysts is associated with the increased oxidative stress under the unfavorable condition of delayed implantation. Methods: To visualize ROS production, day 8 (short-term dormancy) and day 20 (long-term dormancy) dormant blastocysts were loaded with $1-{\mu}M$ 5-(and-6)-chloromethyl-2', 7'-dichlorodihydrofluorescein diacetate, acetyl ester (CM-$H_2DCFDA$). To block autophagic activation, 3-methyladenine (3-MA) and wortmannin were used in vivo and in vitro, respectively. Results: We observed that ROS production was not significantly affected by the status of dormancy; in other words, both dormant and activated blastocysts showed high levels of ROS. However, ROS production was higher in the dormant blastocysts of the long-term dormancy group than in those of the short-term group. The addition of wortmannin to dormant blastocysts in vitro and 3-MA injection in vivo significantly increased ROS production in the short-term dormant blastocysts. In the long-term dormant blastocysts, ROS levels were not significantly affected by the treatment of the autophagy inhibitor. Conclusion: During delayed implantation, heightened autophagy in dormant blastocysts may be operative as a potential mechanism to reduce oxidative stress. Further, ROS may be one of the potential causes of compromised developmental competence of long-term dormant blastocysts after implantation.

Development and Application of Drought Index Based on Accumulative Pattern of Daily Rainfall (일 단위 강수량의 누적 패턴을 이용한 가뭄지수 개발 및 적용)

  • Kwon, Minsung;Park, Dong-Hyeok;Jun, Kyung Soo;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.49 no.1
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    • pp.41-49
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    • 2016
  • This study proposed a new drought index considering the accumulative pattern of daily rainfall, i.e., Rainfall Accumulation Drought Index (RADI). The RADI can be easily calculated at daily scale by comparing the long-term averaged cumulative rainfall to the observed cumulative rainfall for a specific duration. This study evaluated the availability of the RADI in the field of monitoring short-term and long-term droughts by investigating the spatial and temporal variability and the recurrence cycle of drought in South Korea. To present the short-term and long-term droughts, the various SPIs with different durations should be used in practice. However, the RADI can present and monitor both short-term and long-term droughts as a single index. By investigating the national average of the RADI, specific drought patterns of 20-year cycle were identified in this study. This study also proposed a five-level drought classification considering occurrence probability that would be a suitable alternative as a drought criterion for drought forecast/response.

Study on the Prediction of Motion Response of Fishing Vessels using Recurrent Neural Networks (순환 신경망 모델을 이용한 소형어선의 운동응답 예측 연구)

  • Janghoon Seo;Dong-Woo Park;Dong Nam
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.5
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    • pp.505-511
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    • 2023
  • In the present study, a deep learning model was established to predict the motion response of small fishing vessels. Hydrodynamic performances were evaluated for two small fishing vessels for the dataset of deep learning model. The deep learning model of the Long Short-Term Memory (LSTM) which is one of the recurrent neural network was utilized. The input data of LSTM model consisted of time series of six(6) degrees of freedom motions and wave height and the output label was selected as the time series data of six(6) degrees of freedom motions. The hyperparameter and input window length studies were performed to optimize LSTM model. The time series motion response according to different wave direction was predicted by establised LSTM. The predicted time series motion response showed good overall agreement with the analysis results. As the length of the time series increased, differences between the predicted values and analysis results were increased, which is due to the reduced influence of long-term data in the training process. The overall error of the predicted data indicated that more than 85% of the data showed an error within 10%. The established LSTM model is expected to be utilized in monitoring and alarm systems for small fishing vessels.

Exports of SMEs against Risk? Theory and Evidence from Foreign Exchange Risk Insurance Schemes in Korea

  • Lee, Seo-Young
    • Journal of Korea Trade
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    • v.23 no.5
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    • pp.87-101
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    • 2019
  • Purpose - This paper examines the effectiveness of the foreign exchange risk insurance system in the promotion of SME exports in Korea. The purpose of this study is to analyze the short-term and long-term responses of SME exports to foreign exchange risk insurance support policies. Based on these empirical studies, we would like to present some operational improvements to the operation of the foreign exchange risk insurance system. Design/methodology - In order to analyze the effect of exchange risk insurance on the exports of SMEs, a VAR model consisting of foreign exchange risk insurance underwriting values, export relative price, and domestic demand pressure, including export volume, was established. The study began with tests of the stationarity of time series data. The unit root tests showed that all concerned variables were non-stationary. Accordingly, the results of the cointegration test showed that the tested variables are not cointegrated. Finally, an impulse response function and variance decomposition analysis were conducted to analyze the impulse of foreign exchange risk insurance on exports of SMEs. Findings - As a result of estimating the VAR (1) model, foreign exchange risk insurance was found to be significant at a 1% significance level for SME' export promotion. In the impulse response analysis, SMEs' export response to the impulse of foreign exchange risk insurance showed that exports gradually increased until the third quarter, and then slowed down. However, the impulse did not disappear, and appeared continuously. Originality/value - This study analyzed the effect of foreign exchange insurance on exports of SMEs by applying the VAR model. In particular, this study is the first to analyze the short-term and long-term effects of foreign exchange risk insurance on exports of SMEs. The empirical evidence in the current study have a policy implication for the policy authority to support and promote the foreign exchange risk insurance in the effect of exchange rate volatility on Korea' export SMEs.

Design of a Strong Authentication Mechanism using Public-Key based on Kerberos (공개키를 이용한 커버로스 기반의 강력한 인증 메커니즘 설계)

  • 김은환;전문석
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.12 no.4
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    • pp.67-76
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    • 2002
  • Kerberos is designed to provide strong authentication between client and application servers which are working in distributed network environment by using symmetric-key cryptography, and supposed to trust other systems of the realm. In this paper, we design an efficient and strong authentication mechanism by introducing the public/private-key to Kerberos. In the mechanism to make a system more secure, the value of the session key is changed everytime using MAC(message authentication code) algorithm with the long-term key for user-authentication and a random number exchanged through the public key. Also, we employ a mutual authentication method, which is used on challenge-response mechanism based on digital signatures, to improve trust between realms, and present a way of reducing the number of keys by simplifying authentication steps.

Ship Motion-Based Prediction of Damage Locations Using Bidirectional Long Short-Term Memory

  • Son, Hye-young;Kim, Gi-yong;Kang, Hee-jin;Choi, Jin;Lee, Dong-kon;Shin, Sung-chul
    • Journal of Ocean Engineering and Technology
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    • v.36 no.5
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    • pp.295-302
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    • 2022
  • The initial response to a marine accident can play a key role to minimize the accident. Therefore, various decision support systems have been developed using sensors, simulations, and active response equipment. In this study, we developed an algorithm to predict damage locations using ship motion data with bidirectional long short-term memory (BiLSTM), a type of recurrent neural network. To reflect the low frequency ship motion characteristics, 200 time-series data collected for 100 s were considered as input values. Heave, roll, and pitch were used as features for the prediction model. The F1-score of the BiLSTM model was 0.92; this was an improvement over the F1-score of 0.90 of a prior model. Furthermore, 53 of 75 locations of damage had an F1-score above 0.90. The model predicted the damage location with high accuracy, allowing for a quick initial response even if the ship did not have flood sensors. The model can be used as input data with high accuracy for a real-time progressive flooding simulator on board.

Data-Driven Digital Twin for Estimating Response of Pipe System Subjected to Seismic Load and Arbitrary Loads (지진하중 및 임의의 하중을 받는 배관 시스템에 대한 응답을 추정하기 위한 데이터 기반 디지털 트윈)

  • Kim, Dongchang;Kim, Gungyu;Kwag, Shinyoung;Eem, Seunghyun
    • Journal of the Earthquake Engineering Society of Korea
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    • v.27 no.6
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    • pp.231-236
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    • 2023
  • The importance of Structural Health Monitoring (SHM) in the industry is increasing due to various loads, such as earthquakes and wind, having a significant impact on the performance of structures and equipment. Estimating responses is crucial for the effective health management of these assets. However, using numerous sensors in facilities and equipment for response estimation causes economic challenges. Additionally, it could require a response from locations where sensors cannot be attached. Digital twin technology has garnered significant attention in the industry to address these challenges. This paper constructs a digital twin system utilizing the Long Short-Term Memory (LSTM) model to estimate responses in a pipe system under simultaneous seismic load and arbitrary loads. The performance of the data-driven digital twin system was verified through a comparative analysis of experimental data, demonstrating that the constructed digital twin system successfully estimated the responses.

Maximizing the Selection Response by Optimal Quantitative Trait Loci Selection and Control of Inbreeding in a Population with Different Lifetimes between Sires and Dams

  • Tang, G.Q.;Li, X.W.;Zhu, L.;Shuai, S.R.;Bai, L.
    • Asian-Australasian Journal of Animal Sciences
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    • v.21 no.11
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    • pp.1559-1571
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    • 2008
  • A rule was developed to constrain the annual rate of inbreeding to a predefined value in a population with different lifetimes between sires and dams, and to maximize the selection response over generations. This rule considers that the animals in a population should be divided into sex-age classes based on the theory of gene flow, and restricts the increase of average inbreeding coefficient for new offspring by limiting the increase of the mean additive genetic relationship for parents selected. The optimization problem of this rule was formulated as a quadratic programming problem. Inputs for the rule were the BLUP estimated breeding values, the additive genetic relationship matrix of all animals, and the long-term contributions of sex-age classes. Outputs were optimal number and contributions of selected animals. In addition, this rule was combined with the optimization of emphasis given to QTL, and further increased the genetic gain over the planning horizon. Stochastic simulations of closed nucleus schemes for pigs were used to investigate the potential advantages obtained from this rule by combining the standard QTL selection, optimal QTL selection and conventional BLUP selection. Results showed that the predefined rates of inbreeding were actually achieved by this rule in three selection strategies. The rule obtained up to 9.23% extra genetic gain over truncation selection at the same rates of inbreeding. The combination of the extended rule and the optimization of emphasis given to QTL allowed substantial increases in selection response at a fixed annual rate of inbreeding, and solved substantially the conflict between short-term and long-term selection response in QTL-assisted selection schemes.