• Asian Pacific Journal of Cancer Prevention
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• v.13 no.8
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• pp.3781-3789
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• 2012

Background: Pancreatic cancer is one of the most aggressive tumors with a dismal prognosis. The membrane cytoskeletal crosslinker Ezrin participates in several functions including cell proliferation, adhesion, motility and survival. There is increasing evidence that Ezrin is overexpressed in vast majority of malignant tumors and regulates tumor progression. However, its roles in pancreatic cancer remain elusive. Methods: Three pairs of specific Ezrin siRNAs were designed and synthetized and screened to determine the most efficient one for construction of a hairpin RNA plasmid targeting Ezrin. After transfection into the Panc-1 pancreatic cancer cell line, real-time quantitative PCR and Western blotting were performed to examine the expression of mRNA and protein. The MTT method was applied to examine the proliferation and the drug sensibility to Gemcitabine. Flow cytometry was used to assess the cycle and apoptosis, while capacity for invasion was determined with transwell chambers. Furthermore, we detected phosphorylated-Erk1/2 protein and phosphorylated-Akt protein by Western blotting. Results: Real-time quantitative PCR and Western blotting revealed that Ezrin expression was notably down-regulated at both mRNA and protein levels by RNA interference (P< 0.01). Proliferation was inhibited and drug resistance to gemcitabine was improved (P< 0.05). Flow cytometry showed that the proportion of cells in the G1/G0 phase increased (P< 0.01), and in G2/M and S phases decreased (P< 0.05), with no apparent differences in apoptosis (P> 0.05). The capacity for invasion was markedly reduced (P< 0.01). In addition, down-regulating Ezrin expression had no effect on phosphorylated-Akt protein (P>0.05), but could decrease the level of phosphorylated-Erk1/2 protein (P< 0.05). Conclusions: RNA interference of Ezrin could inhibit its expression in the pancreatic cancer cells line Panc-1, leading to a potent suppression of malignant behavior in vitro. Assessment of potential as a target for pancreatic cancer treatment is clearly warranted.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.6 no.1
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• pp.21-26
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• 1981

The effect of wideband FDM-FM signal on binary CPSK signal in an interchannel interference environment has been investigated. A general equation of the bir error rate of binary CPSK signal with cochannel and adjacent channel interference from FDM-FM signal has been derived. The numerical results are given in graphs as the functions of carrier to noise ratio (CNR), carrier to interference ratio(CIR) and normalized carrier separation between PSK and FM signals. The results obtained can be used om desogmomg tje freqiemcy allocation, bandwidths and powers of PSK and FM signals in same radio frequency (RF) bands.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.05a
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• pp.349-354
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• 2005

Recently, there are many equipment of electricity, electronics, and communication which need to grounding in the building. When the electric current flows into a certain grounding system in the same building, the potential rise of other grounding system is possible to be affected by its potential rise. This potential interference was affected by the surface potential, it is deeply related whit the electrode shape. In this paper, basic formula is deduced on the basis of both electrodes surface potential of grounding electrode in a source of the potential interference and groundidng electrode which receive the potential interference. Therefore the degree of potential interference as multiple groundidng electrode can be verified the simulated results by means of the simple model in advance. This is for investigating the grounding resistance of grounding electrodes, the experiment was performed with model-scale of the grounding system and the scaled model grounding system was to this experiment using a water tank of a stainless steel-hemisphere shape. since mesh electrodes have been widely in the general building, we're tried to analyze that this water tank model and it's simulation as well.

• Asian Oncology Nursing
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• v.12 no.4
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• pp.297-304
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• 2012

Purpose: This study was to identify the symptom severity, interference and their psychological predictors in thyroid cancer patients hospitalized for radioactive iodine administration. Methods: One hundred seventy-seven thyroid cancer patients admitted to the isolation room for Iodine ($I^{131}$) therapy were recruited. Subjects were asked to complete the questionnaire on core symptoms, thyroid cancer symptoms, interference, depression and state anxiety in the evening after receiving radioactive iodine therapy. Data was analyzed using frequency, percentage, mean, Pearson's correlation, and multiple regression with SPSS vs. 19. Results: Lack of appetite, drowsiness, sleep disturbance, fatigue, and nausea were the 5 most core symptoms. More than 20% of patients experienced moderate to severe thyroid cancer symptoms including feeling cold, hoarseness, swallowing difficulty, and feeling hot. More than 30% of subjects experienced moderate to severe interferences in mood, general activity, and 22% in walking. Depression and state anxiety were identified as predictors of core symptoms, thyroid symptom severity and interference. Conclusion: Nursing interventions to reduce the symptom severity and interference need to be developed by considering thyroid cancer patients' depression and anxiety when hospitalized in the isolation room for radioactive iodine administration.

• Journal of Broadcast Engineering
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• v.8 no.2
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• pp.116-125
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• 2003

In this paper, we introduce a newly developed DSP module and Software which Is applicable to DTV-OCR and is designed to cancel the interference signal. In general, RF repeater has problems of system oscillation and signal Quality degradation due to feedback interference signal coming from transmit antenna. In this paper, we demonstrate newly developed DSP HW and SW module for cancelling the interference signal by investigating the field data measured through a RF repeater. Also, the structure and signal processing method for non-regenerative repeater system based on the newly developed DSP HW and SW module is illustrated as well.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.51-55
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• 2021

In this paper, we propose the deep learning based interference cancellation scheme algorithm for visible light communication (VLC) systems in smart building. The proposed scheme estimates the channel noise information by applying a deep learning model. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the VLC performance is effectively removed through interference cancellation technique. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance. Consequently, the proposed interference cancellation with deep learning improves the signal quality of VLC systems by effectively removing the channel noise. The results of the paper can be applied to VLC for smart building and general communication systems.

• 대한생식의학회:학술대회논문집
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• 2007.11a
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• pp.123-123
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• 2007

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.12 no.3
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• pp.360-369
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• 2001

This paper proposes the groupwise serial cross interference cancellation(GSCIC) algorithm for coherent detection and analyzes the groupwise serial block interference cancellation(GSBIC) and GSCIC algorithm for an asynchronous wideband DS-CDMA system in a single cell over multipath fading channels. In general, the GSIC algorithm can be grouped into two classes: i.e., GSBIC and GSCIC algorithm. In this paper, the proposed GSCIC algorithm is to improve the performance of the GSBIC algorithm. We compare the performance of the GSCIC and existing GSBIC algorithm in a multipath fading channel to that of the existing SIC algorithm. As a result, the performance of GSCIC algorithm is somewhat better compared with the GSBIC algorithm according to reduction factor $R_{f}$ and is similar to that of the SIC algorithm. And also, the GSBIC and GSCIC algorithms have the advantage that it can be analyzed system performance easily, changing the number of users within a user group according to system capacity.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.41-45
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• 2019

In this paper, we propose the interference cancellation scheme of end-to-end method algorithm for power line communication (PLC) systems in smart grid. The proposed scheme estimates the channel noise information of receiver by applying a deep learning model at the receiver. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the power line communication performance is effectively removed through interference cancellation technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the theoretical model based on additive white Gaussian noise. As a result, the proposed interference cancellation with deep learning improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC for smart grid and general communication systems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.89-93
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• 2013

This paper is estimating a target direction of arrival with incident to receiver in spatial. This paper presented covariance using constraint matrix to correlation interference signal cancellation in multi input multi output array antennas system. we proposed a target direction of arrival estimation algorithm using cost function and minimum variance method. Through simulation, we were analysis a performance to compare general SPT-LCMV algorithm and proposal algorithm. We showed that proposal algorithm improve more target estimation than general SPT-LCMV algorithm in direction of arrival.