• Title/Summary/Keyword: 신호추출

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Proteomics of Protein Expression Profiling in Tissues with Different Radiosensitivity (Proteomics를 이용한 마우스 조직에서의 방사선 감수성 조절 단백질의 탐색)

  • An, Jeung-Hee;Kim, Ji-Young;Seong, Jin-Sil
    • Radiation Oncology Journal
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    • v.22 no.4
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    • pp.298-306
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    • 2004
  • Purpose: The purpose of this study was to identify Radiosensitivity of proteins in tissues with different radiosensitivity. Materials and Methods: C3H/HeJ mice were exposed to 10 Gy. The mice were sacrifiud 8 hrs after radiation. Their spleen and liver tissues were collected and analyzed histologicaly for apoptosis. The expressions of radiosusceptibillty protein were analyzed by 2-dimensional electrophoresis and matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Resilts: The Peak of apoptosis levels were $35.3{\pm}1.7{\%}$ in spleen and $0.6{\pm}0.2{\%}$ in liver at 8 hrs after radiation. Liver, radioresistant tissues, showed that the levels of ROS metabolism related to proteins such as cytochromm c, glutathione S transferase, NADH dehydrogenase, riken cDNA and peroxiredoxin Vl increased after radiation. The expression of cytochrome c increased significantly in spleen and liver tissues after radiation. In spleen, radiosensitivity tissue, the identified proteins showed a significantly quantitative alteration following radiation. It was categorized as signal transduction, apoptosis, cytokine, Ca signal related protein, stress-related protein, cytoskeletal regulation, ROS metabolism, and others. Conclusion: Differences of radiation-induced apoptosis by tissues specifted were coupled with the induction of related radiosensitivity and radioresistant proteins. The result suggests that apoptosis relate protein and redox proteins play important roles in this radiosusceptibility.

Empathy Recognition Method Using Synchronization of Heart Response (심장 반응 동기화를 이용한 공감 인식 방법)

  • Lee, Dong Won;Park, Sangin;Mun, Sungchul;Whang, Mincheol
    • Science of Emotion and Sensibility
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    • v.22 no.1
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    • pp.45-54
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    • 2019
  • Empathy has been observed to be pivotal in enhancing both social relations and the efficiency of task performance. Empathetic interaction has been shown to begin with individuals mirroring each other's facial expressions, vocal tone, actions, and so on. The internal responses of the cardiovascular activity of people engaged in empathetic interaction are also known to be synchronized. This study attempted to objectively and quantitatively define the rules of empathy with regard to the synchronization of cardiac rhythm between persons. Seventy-four subjects participated in the investigation and were paired to imitate the facial expressions of their partner. An electrocardiogram (ECG) measurement was taken as the participants conducted the task. Quantitative indicators were extracted from the heart rhythm pattern (HRP) and the heart rhythm coherence (HRC) to determine the difference of synchronization of heart rhythms between two individuals as they pertained to empathy. Statistical significance was confirmed by an independent sample t-test. The HRP and HRC correlation(r) between persons increased significantly with empathy in comparison to an interaction that was not empathetic. A difference of the standard deviation of NN intervals (SDNN) and the dominant peak frequency decreased. Therefore, significant parameters to evaluate empathy have been proposed through a step-wise discrimination analysis. Empathic interactions may thus be managed and monitored for high quality social interaction and communication.

GIS Information Generation for Electric Mobility Aids Based on Object Recognition Model (객체 인식 모델 기반 전동 이동 보조기용 GIS 정보 생성)

  • Je-Seung Woo;Sun-Gi Hong;Dong-Seok Park;Jun-Mo Park
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.4
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    • pp.200-208
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    • 2022
  • In this study, an automatic information collection system and geographic information construction algorithm for the transportation disadvantaged using electric mobility aids are implemented using an object recognition model. Recognizes objects that the disabled person encounters while moving, and acquires coordinate information. It provides an improved route selection map compared to the existing geographic information for the disabled. Data collection consists of a total of four layers including the HW layer. It collects image information and location information, transmits them to the server, recognizes, and extracts data necessary for geographic information generation through the process of classification. A driving experiment is conducted in an actual barrier-free zone, and during this process, it is confirmed how efficiently the algorithm for collecting actual data and generating geographic information is generated.The geographic information processing performance was confirmed to be 70.92 EA/s in the first round, 70.69 EA/s in the second round, and 70.98 EA/s in the third round, with an average of 70.86 EA/s in three experiments, and it took about 4 seconds to be reflected in the actual geographic information. From the experimental results, it was confirmed that the walking weak using electric mobility aids can drive safely using new geographic information provided faster than now.

Fault Detection Technique for PVDF Sensor Based on Support Vector Machine (서포트벡터머신 기반 PVDF 센서의 결함 예측 기법)

  • Seung-Wook Kim;Sang-Min Lee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.785-796
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    • 2023
  • In this study, a methodology for real-time classification and prediction of defects that may appear in PVDF(Polyvinylidene fluoride) sensors, which are widely used for structural integrity monitoring, is proposed. The types of sensor defects appearing according to the sensor attachment environment were classified, and an impact test using an impact hammer was performed to obtain an output signal according to the defect type. In order to cleary identify the difference between the output signal according to the defect types, the time domain statistical features were extracted and a data set was constructed. Among the machine learning based classification algorithms, the learning of the acquired data set and the result were analyzed to select the most suitable algorithm for detecting sensor defect types, and among them, it was confirmed that the highest optimization was performed to show SVM(Support Vector Machine). As a result, sensor defect types were classified with an accuracy of 92.5%, which was up to 13.95% higher than other classification algorithms. It is believed that the sensor defect prediction technique proposed in this study can be used as a base technology to secure the reliability of not only PVDF sensors but also various sensors for real time structural health monitoring.

Immune-stimulatory Effects of Fomes fomentarius Extract in Murine Macrophages (말굽버섯 추출물의 대식세포 면역반응 증강 효과)

  • Kim, Young Hoon;Park, Eun Gyu;Batsuren, Dulamjav;Ganbaatar, Jamsranjav;Nho, Chu Won;Pan, Cheol-Ho;Lee, Jae Kwon
    • Journal of Applied Biological Chemistry
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    • v.57 no.4
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    • pp.373-377
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    • 2014
  • In this study, we demonstrated whether the extract of Fomes fomentarius (FFE; FF extract) could be used to stimulate macrophages (RAW 264.7 cells). All four doses of FFE (5, 10, 20, and $40{\mu}g/mL$) had no significant cytotoxicity during the entire experimental period. FFE potently increased the production of nitric oxide (NO). Consistent with these observations, inducible NO synthase levels were increased by FFE in a dose-dependent manner. Moreover, FFE increased the production of tumor necrosis factor-${\alpha}$, interleukin (IL)-$1{\beta}$, and IL-6 in the same cells. These stimulating effects of FFE were found to be caused by the stimulation of phosphorylation of $I{\kappa}B{\alpha}$ and MAP kinases (p38, ERK, and JNK). These results suggest that FFE may be used as new agents for wide application in the immune study of mushroom.

Ulmus Macrocarpa Water Extract Prolongs Splenocyte Life Span (Ulmus Macrocarpa 열수 추출물에 의한 비장세포 수명 연장)

  • Kang, Kyung-Hwa;Hyun, Sook Kyung;Hwang, Hye Jin;Kim, Byoung Woo;Kim, Cheol Min;Chung, Kyung Tae;Lee, Jong-Hwan
    • Journal of Life Science
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    • v.25 no.10
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    • pp.1176-1183
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    • 2015
  • Ulmus macrocarpa has been used in Korean medicinal food material to physical disorder or tonic material. The purpose of the present study was to evaluate splenocyte life span expansion effects of Ulmus macrocarpa water extract (UMWE) in general cell culture condition. Splenocytes were handled in the presence of 100 μg/ml UMWE for several different time conditions. Live cells were detected with Hoechst 33,342 dye and cell survival molecules were identified through Western blot. Changes in level of cytokine synthesis were evaluated by ELISA. UMWE showed an effect on increased splenocyte survival. UMWE elevated slightly PI3K phosphorylation and ERK1/2 phosphorylation used at 48 hr and 96 hr. Moreover, Bcl-2 was elevated at 48 hr and 96 hr in UMWE-treated splenocytes. UMWE decreased caspase-3 level at 48 hr and 96 hr. ICAD protein increased at 48 hr culturing time. Hematopoietin IL-2 cytokine was down-regulated, however IL-4 hematopoietin cytokine was up-regulated in UMWE treated cell culture media. Increased IFN-γ levels were verified in the supernatant of UMWE-treated cells in all periods (48 hr and 96 hr). Increased patterns in the production of IL-12 cytokine occurred as compared with control after 48 and 96 hr in UMWE-treated-cell cultures. These results suggested that UMWE can prolong splenocyte life span by controlling various signal factors and cytokines.

SVM Classifier for the Detection of Ventricular Fibrillation (SVM 분류기를 통한 심실세동 검출)

  • Song, Mi-Hye;Lee, Jeon;Cho, Sung-Pil;Lee, Kyoung-Joung
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.42 no.5 s.305
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    • pp.27-34
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    • 2005
  • Ventricular fibrillation(VF) is generally caused by chaotic behavior of electrical propagation in heart and may result in sudden cardiac death. In this study, we proposed a ventricular fibrillation detection algorithm based on support vector machine classifier, which could offer benefits to reduce the teaming costs as well as good classification performance. Before the extraction of input features, raw ECG signal was applied to preprocessing procedures, as like wavelet transform based bandpass filtering, R peak detection and segment assignment for feature extraction. We selected input features which of some are related to the rhythm information and of others are related to wavelet coefficients that could describe the morphology of ventricular fibrillation well. Parameters for SVM classifier, C and ${\alpha}$, were chosen as 10 and 1 respectively by trial and error experiments. Each average performance for normal sinus rhythm ventricular tachycardia and VF, was 98.39%, 96.92% and 99.88%. And, when the VF detection performance of SVM classifier was compared to that of multi-layer perceptron and fuzzy inference methods, it showed similar or higher values. Consequently, we could find that the proposed input features and SVM classifier would one of the most useful algorithm for VF detection.

Detection of a Quorum-Sensing Inhibitor from the Natural Products (천연물로부터 Quorum Sensing 저해제의 탐색)

  • Kim, Tae-Woo;Cha, Ji-Young;Lee, Jun-Seung;Min, Bok-Kee;Baik, Hyung-Suk
    • Journal of Life Science
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    • v.18 no.2
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    • pp.206-212
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    • 2008
  • The quorum sensing (QS) regulatory network has been the subject of extensive studies during recent years and has also attracted a lot of attention because it both positively and negatively regulates various putative virulence factors, although initially considered to be a specialized system of Vibrio fischeri and related species. In this study, to identify the novel materials which inhibit QS system of microorganisms, extracts of eighteen natural products were tested by bioassay using N-(3-oxohexanoyl)-$_L$-homoserine lactone and N-(3-oxooctanoyl)-$_L$-homoserine lactone synthesized in this experiment and an Agrobacterium tumefaciens NT1 biosensor strain containing a traI::lacZ fusion. The result indicated that the extracts of cabbage, leek, and onion exhibited the QS inhibition activity. Thus, materials contained in the extracts were isolated via recycling preparative HPLC and were purified via a JAIGEL-LS255 column. The common fraction corresponding to a peak of the 83 min point of them quenched the quorum sensing of A. tumefaciens NT1 biosensor strain in ABMM containing X-gal and was designated quorum sensing inhibitor-83 min (QSI-83). The QSI-83 exhibited the heat stability and did not inhibit the growth of A. tumefaciens NTl. Furthermore, thin layer chromatography (TLC) results suggested that these novel materials may be antagonists of N-acyl homoserine lactone or may inhibit the QS autoinducer synthesis by Pseudomonas syringae pv. tabaci.

Study on the Design Computing Model for SpO Extraction Algorithm on Pulse Oximetry (펄스 옥시메터의 산소포화도 추출 알고리즘을 위한 계산모델 설계에 관한 연구)

  • Kim, Yun-Yeong;Kim, Do-Cheol;Lee, Yun-Seon
    • Journal of Biomedical Engineering Research
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    • v.19 no.1
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    • pp.25-32
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    • 1998
  • This paper is based on the design and analysis computing model of oxygen saturation with the pulse oximeter using the integral ratio of pulsating components. In our proposed algorithm. we modeled the transmitted optical signal in fingertip or earlobe to DC component $A_{dc}$ pulsating component $A_a\;Sinwt$, noise component $A_{noise}$ and etc.. To separate the pulsating components and DC components efficiently, we defined the signal average to DC components. Also we presented the way to eliminate the noise using integral ratio. To acquire a linearity of correlation graph for pulsating components ratios and non invasive oxygen saturation. we intensively observed on the oxygen saturations in the range of 75-100% in consideration of the error range of simulator. Also, for real time processing we experimented on changing the period of area calculating cycle from 1 to 6. The functional evaluation of the algorithm is compared with the method using the amplitude ratio of pulsating components frequently seen with pulse oximeter. The result was that our algorithm with 4 cycles of area calculating cycle which considered to be best fit by 1% to the existing method. Moreover r , the decision coefficient showing the correlation of regression graph with real data, proved better result of 0.985 than 0.970.

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Immunomodulatory effect of bee pollen extract in macrophage cells (꿀벌 꽃가루 열수 추출물의 큰포식세포 면역활성 효과)

  • Kim, Yi-Eun;Cho, Eun-Ji;Byun, Eui-Hong
    • Korean Journal of Food Science and Technology
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    • v.50 no.4
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    • pp.437-443
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    • 2018
  • Activation of macrophages plays an important role in the host-immune system. In this study, we investigated the functional roles and related signaling mechanism of hot-water extracts of bee pollen (BPW) in RAW 264.7 macrophages. Since BPW did not exert cytotoxicity at concentrations ranging from 62.5 to $250{\mu}g/mL$ in macrophage cells, a concentration of $250{\mu}g/mL$ was used as the maximum dose of BPW throughout subsequent experiments. BPW increased inducible nitric oxide synthase-mediated nitric oxide production in a concentration-dependent manner. Additionally, BPW was found to induce macrophage activation by augmenting the expression of cell surface molecules (cluster of differentiation; CD80/86, and major histocompatibility complex; MHC class I/II) and production of pro-inflammatory cytokines (tumor necrosis $factor-{\alpha}$, interleukin-6, and $IL-1{\beta}$) through mitogen-activated protein kinase and nuclear $factor-{\kappa}B$ signaling pathways in RAW 264.7 macrophages. Taken together, our results indicate that BPW could potentially be used as an immunomodulatory agent.