• Molecules and Cells
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• 제45권8호
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• pp.588-602
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• 2022

Various RNA-binding proteins (RBPs) are key components in RNA metabolism and contribute to several neurodevelopmental disorders. To date, only a few of such RBPs have been characterized for their roles in neocortex development. Here, we show that the RBP, Rbms1, is required for radial migration, polarization and differentiation of neuronal progenitors to neurons in the neocortex development. Rbms1 expression is highest in the early development in the developing cortex, with its expression gradually diminishing from embryonic day 13.5 (E13.5) to postnatal day 0 (P0). From in utero electroporation (IUE) experiments when Rbms1 levels are knocked down in neuronal progenitors, their transition from multipolar to bipolar state is delayed and this is accompanied by a delay in radial migration of these cells. Reduced Rbms1 levels in vivo also reduces differentiation as evidenced by a decrease in levels of several differentiation markers, meanwhile having no significant effects on proliferation and cell cycle rates of these cells. As an RNA binding protein, we profiled the RNA binders of Rbms1 by a cross-linked-RIP sequencing assay, followed by quantitative real-time polymerase chain reaction verification and showed that Rbms1 binds and stabilizes the mRNA for Efr3a, a signaling adapter protein. We also demonstrate that ectopic Efr3a can recover the cells from the migration defects due to loss of Rbms1, both in vivo and in vitro migration assays with cultured cells. These imply that one of the functions of Rbms1 involves the stabilization of Efr3a RNA message, required for migration and maturation of neuronal progenitors in radial migration in the developing neocortex.

• 대한의생명과학회지
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• 제15권4호
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• pp.301-307
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• 2009

Whole-body insulin resistance results largely from impaired insulin-stimulated glucose disposal in skeletal muscle. Our previous studies using differential display and quantitative real-time RT-PCR have shown that a novel cDNA band (DD23) had a higher level of expression in insulin resistant skeletal muscle and it was correlated with whole-body insulin action, independent of age, sex, and percent body fat. In this study, we cloned and characterized DD23. The DD23 sequence is part of the 3'UTR region of the RNA binding motif, single stranded interacting protein (RBMS3). We have cloned the full length cDNA for RBMS3 and identified two splice variants. These variants named DD23-L and DD23-S have 15 and 14 exons respectively and differ from RBMS3 in the 3'UTR significantly. Northern blot analyses showed that an ~8.8 kb mRNA transcript of DD23 was predominantly expressed in skeletal muscle and to a lesser extent in placenta, but not in heart, brain, lung, liver, or kidney, unlike RBMS3. Elevated expression levels of these novel alternatively spliced variants of RBMS3 in skeletal muscle may play a role in whole body insulin resistance.

• 통상정보연구
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• 제11권3호
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• pp.25-45
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• 2009

The e-Trade environment has enabled the complex trade processes to be automated using e-Trade information systems, which had been manually processed through many trade-related parties in the past. Korea has completed the development of the most advanced e-Trade platform called "u-Trade Hub," which can process automatically all the trade-related activities from marketing to payment. It is anticipated for the world trade environment to have more FTAs throughout the world and this will complicate the trade processes more and more in the future. This means the constant cost-bearing updates of the e-Trade environment to adapt the process changes brought by new FTAs with other countries. In this paper, we propose the systematic approach to easily as well as less costly adapt the possible trade process changes resulted from the future FTAs by adopting a rule base management system. The prototype system to test the applicability of the proposed approach is developed using Win-Prolog 4.8 environment.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2003년도 춘계학술대회
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• pp.26-47
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• 2003

• Restorative Dentistry and Endodontics
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• 제39권3호
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• pp.155-163
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• 2014

Objectives: Light-curing of resin-based materials (RBMs) increases the pulp chamber temperature, with detrimental effects on the vital pulp. This in vitro study compared the temperature rise under demineralized human tooth dentin during light-curing and the degrees of conversion (DCs) of three different RBMs using quartz tungsten halogen (QTH) and light-emitting diode (LED) units (LCUs). Materials and Methods: Demineralized and non-demineralized dentin disks were prepared from 120 extracted human mandibular molars. The temperature rise under the dentin disks (n = 12) during the light-curing of three RBMs, i.e. an Ormocer-based composite resin (Ceram. X, Dentsply DeTrey), a low-shrinkage silorane-based composite (Filtek P90, 3M ESPE), and a giomer (Beautifil II, Shofu GmbH), was measured with a K-type thermocouple wire. The DCs of the materials were investigated using Fourier transform infrared spectroscopy. Results: The temperature rise under the demineralized dentin disks was higher than that under the non-demineralized dentin disks during the polymerization of all restorative materials (p < 0.05). Filtek P90 induced higher temperature rise during polymerization than Ceram.X and Beautifil II under demineralized dentin (p < 0.05). The temperature rise under demineralized dentin during Filtek P90 polymerization exceeded the threshold value ($5.5^{\circ}C$), with no significant differences between the DCs of the test materials (p > 0.05). Conclusions: Although there were no significant differences in the DCs, the temperature rise under demineralized dentin disks for the silorane-based composite was higher than that for dimethacrylate-based restorative materials, particularly with QTH LCU.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1421-1429
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• 2017

Human activity recognition has been studied using various sensors and algorithms. Human activity recognition can be divided into sensor based and vision based on the method. In this paper, we proposed an activity recognition system using acceleration sensor and gyroscope sensor in smartphone among sensor based methods. We used Deep Belief Network (DBN), which is one of the most popular deep learning methods, to improve an accuracy of human activity recognition. DBN uses the entire input set as a common input. However, because of the characteristics of different time window depending on the type of human activity, the RBMs, which is a component of DBN, are configured hierarchically by combining them from different time windows. As a result of applying to real data, The proposed human activity recognition system showed stable precision.

• 전기학회논문지
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• 제64권1호
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• pp.113-120
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• 2015

In this paper, we propose a feature extraction method using the stacked autoencoders which consist of restricted Boltzmann machines. The stacked autoencoders is a sort of deep networks. Restricted Boltzmann machines (RBMs) are probabilistic graphical models that can be interpreted as stochastic neural networks. In terms of pattern classification problem, the feature extraction is a key issue. We use the stacked autoencoders networks to extract new features which have a good influence on the improvement of the classification performance. After feature extraction, fuzzy k-nearest neighbors algorithm is used for a classifier which classifies the new extracted data set. To evaluate the classification ability of the proposed pattern classifier, we make some experiments with several machine learning data sets.

• 한국가스학회지
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• 제6권1호
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• pp.59-65
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• 2002

본 연구는 가스 산업체에서 안전관리, 건설공정, 운영관리 등을 통합할 수 있는 새로운 정보화 모델, 즉 PIIS 모델을 제안하고자 한다. 여기서 개발된 PIIS 모델을 기반으로 가스설비를 통합관리 한다면 안전 및 위험관리를 극대화 할 수 있고, 동시에 생산성과 원가절감 효과를 증대시킬 수 있는 장점이 있다. 따라서 PIIS 시스템의 도입은 동기화와 통합화를 안정적으로 가져갈 수 있다는 측면에서 가스 공급자와 소비자 상호간에 이윤을 공유하게 된다. 결과, PIIS 운영체계는 인수기지의 건설단계에서 도입하는 것이 보다 효과적이지만. 천연가스의 탐사 단계부터 최종 소비자에게 공급되는 전체 라인에 적용하는 것이 가스업체의 생산성, 안전성, 경제성에 분명한 이익을 제공할 것이다.

• 생명과학회지
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• 제25권7호
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• pp.839-848
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• 2015

분자 마커는 유기체에서 다른 유기체와 분자적 수준에서 식별하는 마커이다. 유전적 분석을 위한 분자 마커의 발달은 식물 유전학, 다양한 구조와 가능을 이해하는데 기여하였다. DNA 마커는 임의유전자 증폭에서 다형성을 탐지하는 기법이나 방법(예를 들면 서든 블로팅, 핵산 교잡법, PCR을 이용한 중합효소 연쇄 증폭 반응, DNA 서열화)으로 RFLP, AFLP, RAPD, SSR, SNP 등을 이용하였고 현재에도 이용하고 있다. 최근 기능성 유전자를 이용한 기능성 마커가 각광을 받고 있다. 기능성 마커는 다형성 서열에서 유래한 것으로 표현형 변이를 내포하고 있다. 이런 개념에서 출발한 기능성 마커는 모든 유전자를 타깃으로 할 수 있으나 식물에서는 P450, 튜블린 형성 유전자의 다형성(TBPs), 전이요소 마커(TEMs), 병원균 저항성 유전자 마커(RGMs), RNA를 기반으로 한 마커(RBMs) 등이 널리 이용되고 있다. 본 연구는 Poczai 등의 총설을 기반으로 구성하였다. 식물에서 이런 분자 마커의 이용은 식물의 분화, 진화, 생리적 기능성 유전자의 변화 등 생물학 전반에 관한 정보 획득에 도움을 될 것이다.