• Molecules and Cells
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• 제42권5호
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• pp.418-425
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• 2019

Multicistronic elements, such as the internal ribosome entry site (IRES) and 2A-like cleavage sequence, serve crucial roles in the eukaryotic ectopic expression of exogenous genes. For utilization of multicistronic elements, the cleavage efficiency and order of elements in multicistronic vectors have been investigated; however, the dynamics of multicistronic element-mediated expression remains unclear. Here, we investigated the dynamics of encephalomyocarditis virus (EMCV) IRES- and porcine teschovirus-1 2A (p2A)-mediated expression. By utilizing real-time fluorescent imaging at a minute-level resolution, we monitored the expression of fluorescent reporters bridged by either EMCV IRES or p2A in two independent cultured cell lines, HEK293 and Neuro2a. We observed significant correlations for the two fluorescent reporters in both multicistronic elements, with a higher correlation coefficient for p2A in HEK293 but similar coefficients for IRES-mediated expression and p2A-mediated expression in Neuro2a. We further analyzed the causal relationship of multicistronic elements by convergent cross mapping (CCM). CCM revealed that in all four conditions examined, the expression of the preceding gene causally affected the dynamics of the subsequent gene. As with the cross correlation, the predictive skill of p2A was higher than that of IRES in HEK293, while the predictive skills of the two multicistronic elements were indistinguishable in Neuro2a. To summarize, we report a significant temporal correlation in both EMCV IRES- and p2A-mediated expression based on the simple bicistronic vector and real-time fluorescent monitoring. The current system also provides a valuable platform to examine the dynamic aspects of expression mediated by diverse multicistronic elements under various physiological conditions.

• 한국초등과학교육학회지:초등과학교육
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• 제31권4호
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• pp.501-512
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• 2012

The purpose of this study was to identify the differences in eye movement pattern shown in classification activities between the gifted and regular students in elementary schools. The subjects for the research consisted of five gifted students in the special education center for the gifted at Seoul National University of Education and five students at D regular elementary schools. SMI (Senso Motoric Instruments)' iView $X^{TM}$ RED 120 Hz was used in order to collect eye movement data. Results were as follows. There were difference patterns between the gifted and the regular student in question identification, attribute observation, and criteria generation process. Gifted students minimized unnecessary cognitive overload and took advantage of cognitive economic efficiency. Regular students have a lot of cognitive burden because they did not grasp the essential information.

• IEIE Transactions on Smart Processing and Computing
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• 제3권5호
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• pp.285-297
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• 2014

This paper presents the results of an investigation into bi-directional communication in spectrum sharing-based cognitive radio (Bi-CR) systems. A Bi-CR system can increase the spectral efficiency significantly by sharing the spectrum and through the bi-directional use of spatial resources for two-way communication. On the other hand, the primary user experiences more interference from the secondary users in a Bi-CR system. Satisfying the interference constraint by simply reducing the transmission power results in performance degradation for secondary users. In addition, secondary users also experience self-interference from echo channels due to full duplexing. These imperfections may weaken the potential benefits of the Bi-CR system. Therefore, a new way to overcome these defects in the Bi-CR system is needed. To address this need, this paper proposes some novel power allocation schemes for the Bi-CR system. This contribution is based on two major analytic environments, i.e., noise-limited and interference-limited environments, for providing useful analysis. This paper first proposes an optimal power allocation (OPA) scheme in a noise-limited environment and then analyzes the achievable sum rates. This OPA scheme has an effect in the noise-limited environment. In addition, a power allocation scheme for the Bi-CR system in an interference-limited environment was also investigated. The numerical results showed that the proposed schemes can achieve the full duplexing gain available from the bi-directional use of spatial resources.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권10호
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• pp.2338-2356
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• 2013

In cognitive radio networks, acquiring the position information of the primary user is critical to the communication of the secondary user. Localization of primary users can help improve the efficiency with which the spectrum is reused, because the information can be used to avoid harmful interference to the network while simultaneity is exploited to improve the spectrum utilization. Despite its inherent inaccuracy, received signal strength based on range has been used as the standard tool for distance measurements in the location detection process. Most previous works have employed the path-loss propagation model with a fixed value of the path loss exponent. However, in actual environments, the path loss exponent for each channel is different. Moreover, due to the complexity of the radio channel, when the number of channel increases, a larger number of RSS measurements are needed, and this results in additional energy consumption. In this paper, to overcome this problem, we propose using the Bayesian compressive sensing method with a calibrated path loss exponent to improve the performance of the PU localization method.

• 컴퓨터교육학회논문지
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• 제6권3호
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• pp.143-150
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• 2003

인터넷에 많은 정보가 있지만, 검색자가 자신이 필요한 정확한 정보를 찾기는 쉽지 않다. 따라서 정보 효율적으로 수집, 분석, 활용하는 능력을 길러주는 교육이 요구된다. 일반적으로 검색자들은 저마다의 방법을 통해 정보 검색 과정을 수행하므로, 이때 검색된 결과물은 개인에 따라 상이하게 나타난다. 본 연구는 초등학생의 정보 검색 활동을 관찰하여 검색자의 개인별 특성, 특히 인지 양식에 따른 정보 검색 전략과 검색 결과의 차이를 분석한다. 또한 이를 통해 정보 검색 능력 신장 및 정보 검색 시스템의 효율성 제고를 위한 교육 방안을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권2호
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• pp.564-582
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• 2015

This paper proposes a novel swarm intelligence optimization method which integrates bacterial foraging optimization (BFO) with quantum computing, called quantum bacterial foraging optimization (QBFO) algorithm. In QBFO, a multi-qubit which can represent a linear superposition of states in search space probabilistically is used to represent a bacterium, so that the quantum bacteria representation has a better characteristic of population diversity. A quantum rotation gate is designed to simulate the chemotactic step for the sake of driving the bacteria toward better solutions. Several tests are conducted based on benchmark functions including multi-peak function to evaluate optimization performance of the proposed algorithm. Numerical results show that the proposed QBFO has more powerful properties in terms of convergence rate, stability and the ability of searching for the global optimal solution than the original BFO and quantum genetic algorithm. Furthermore, we examine the employment of our proposed QBFO for cognitive radio spectrum allocation. The results indicate that the proposed QBFO based spectrum allocation scheme achieves high efficiency of spectrum usage and improves the transmission performance of secondary users, as compared to color sensitive graph coloring algorithm and quantum genetic algorithm.

• Physical Therapy Rehabilitation Science
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• 제6권4호
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• pp.202-207
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• 2017

Objective: The self-decisions of the client regarding the meaningful work as a therapeutic approach of client-orientation. The Cognitive Orientation to daily Occupational Performance (CO-OP) is an occupation-oriented problem-solving approach. The purpose of this study was to describe the goals and intervention protocols of CO-OP in those affected by stroke. Design: A systematic review. Methods: Using EBSCOhost, PubMed, and ProQuest databases, we searched studies published in the past decade that utilized the CO-OP intervention. An initial search revealed 71,171 potential articles. After applying our search criteria to screen the titles, abstracts, and full-text, we included 7 articles that met our inclusion and exclusion criteria. In this study, we used the patient, intervention(s), comparison, outcome method to analyze the 7 selected studies. We analyzed the frequency of goals and intervention protocols. Results: Seven articles met our selection criteria; these studies included participants with an almost normal cognitive function from inpatient and outpatient rehabilitation facilities. CO-OP was used for 237 goals; the most used goal was the instrumental activities of daily living. The training procedure used 3 types of self-selecting goals in the activities. One of the goals was not trained, but was only evaluated to determine the generation effect. The most common outcome measurements included the Canadian Occupational Performance Measure and the Performance Quality Rating Scale. Conclusions: This research provided information about the effectiveness of CO-OP and selecting the correct evaluation tool to assess the efficiency of the intervention. This study suggests that treatment with CO-OP in occupational therapy is effective and that it outlines common protocols.

• 한국정보통신학회논문지
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• 제15권9호
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• pp.1889-1894
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• 2011

채널할당은 멀티채널 전송에 있어서 중요한 기술적 이슈중의 하나이다. 인지라디오 네트워크에서는 채널 할당 방식은 기존 사용자에 대한 간섭을 야기하지 않으면서 채널의 효율을 놓일 수 있도록 설계되어야한다. 본 논문에서는 채널 홀 예측에 기반한 채널할당방식을 제안한다. 제안된 할당방식은 최소 채널 성공률에 의해 채널 홀을 예측하고 부 사용자의 데이터전송을 제한함으로서 주 사용자에 대한 간섭을 제어할 수 있다. 제안된 채널할당방식에 대한 시뮬레이션을 수행하고 그 결과를 비교분석하였다.

• 한국통신학회논문지
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• 제37권7A호
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• pp.528-534
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• 2012

인지 기반 중첩 융합 네트워크 환경 하에서의 서비스 성능이 중요한 이슈로 떠오르는 가운데 단말기의 기능성이 좋아짐에 따라 스마트한 지능을 기반으로 자원의 효과적 활용에 적합한 개별 이종네트워크의 특성분석과 특성을 반영하는 시스템측면의 최적화가 매우 중요하게 되었다. 본 논문에서는 기지국의 소형화와 지능화가 진행되는 가운데 기지국 hotelling과 같은 기지국 집중화를 통한 통합적 최적화가 가능하므로 이에 대응한 이중 가상 셀 시스템의 특성에 대해 살펴보고 활용도 측면의 성능을 분석하였다. 또한 채널정보의 부정확성으로 인한 오류의 영향에 대해서 시뮬레이션을 통하여 정량적인 분석을 진행하고 의미하는 바를 논의하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권9호
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• pp.2037-2051
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• 2012

Cognitive radio (CR) is envisioned as a promising paradigm of exploiting intelligence for enhancing efficiency of underutilized spectrum bands. In CR, the main concern is to reliably sense the presence of primary users (PUs) to attain protection against harmful interference caused by potential spectrum access of secondary users (SUs). In this paper, evolutionary algorithms, namely, particle swarm optimization (PSO) and genetic algorithm (GA) are proposed to minimize the total sensing decision error at the common soft data fusion (SDF) centre of a structurally-centralized cognitive radio network (CRN). Using these techniques, evolutionary operations are invoked to optimize the weighting coefficients applied on the sensing measurement components received from multiple cooperative SUs. The proposed methods are compared with each other as well as with other conventional deterministic algorithms such as maximal ratio combining (MRC) and equal gain combining (EGC). Computer simulations confirm the superiority of the PSO-based scheme over the GA-based and other conventional MRC and EGC schemes in terms of detection performance. In addition, the PSO-based scheme also shows promising convergence performance as compared to the GA-based scheme. This makes PSO an adequate solution to meet real-time requirements.