• Title/Summary/Keyword: R-123

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Measurement of Absorption Coefficient for Quantum Confined Stark Effect In GaAsP/In P MQW Na Refractive Index Change

  • Song, Ju-Bin;Killey, R.
    • Journal of the Optical Society of Korea
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    • v.5 no.4
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    • pp.123-130
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    • 2001
  • In this paper, we report measurement of absorption coefficient for various InGaAs MQW QCSE device structures. The absorption spectra over a range of QCSE were obtained from measured photocurrent spectra. The refractive index changes with applied electric field were calculated from the absorption spectra.

(WEAK) IMPLICATIVE HYPER K-IDEALS

  • Saeid, A.Borumand;Borzooei, R.A.;Zahedi, M.M.
    • Bulletin of the Korean Mathematical Society
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    • v.40 no.1
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    • pp.123-137
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    • 2003
  • In this note first we define the notions of weak implicative and implicative hyper K-ideals of a hyper K-algebra H. Then we state and prove some theorems which determine the relationship between these notions and (weak) hyper K-ideals. Also we give some relations between these notions and all types of positive implicative hyper K-ideals. Finally we classify the implicative hyper K-ideals of a hyper K-algebra of order 3.

BEST PROXIMITY POINTS FOR CONTRACTIVE MAPPINGS IN GENERALIZED MODULAR METRIC SPACES

  • V. Anbukkarasi;M. Marudai;R. Theivaraman
    • Korean Journal of Mathematics
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    • v.31 no.2
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    • pp.123-131
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    • 2023
  • In this paper, we prove existence of best proximity points for 2-convex contraction, 2-sided contraction, and M-weakly cyclic 2-convex contraction mappings in the setting of complete strongly regular generalized modular metric spaces that generalize many results in the literature.

The Measurement of Sensitivity and Comparative Analysis of Simplified Quantitation Methods to Measure Dopamine Transporters Using [I-123]IPT Pharmacokinetic Computer Simulations ([I-123]IPT 약역학 컴퓨터시뮬레이션을 이용한 민감도 측정 및 간편화된 운반체 정량분석 방법들의 비교분석 연구)

  • Son, Hye-Kyung;Nha, Sang-Kyun;Lee, Hee-Kyung;Kim, Hee-Joung
    • The Korean Journal of Nuclear Medicine
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    • v.31 no.1
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    • pp.19-29
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    • 1997
  • Recently, [I-123]IPT SPECT has been used for early diagnosis of Parkinson's patients(PP) by imaging dopamine transporters. The dynamic time activity curves in basal ganglia(BG) and occipital cortex(OCC) without blood samples were obtained for 2 hours. These data were then used to measure dopamine transporters by operationally defined ratio methods of (BG-OCC)/OCC at 2 hrs, binding potential $R_v=k_3/k_4$ using graphic method or $R_A$= (ABBG-ABOCC)/ABOCC for 2 hrs, where ABBG represents accumulated binding activity in basal ganglia(${\int}^{120min}_0$ BG(t)dt) and ABOCC represents accumulated binding activity in occipital cortex(${\int}^{120min}_0$ OCC(t)dt). The purpose of this study was to examine the IPT pharmacokinetics and investigate the usefulness of simplified methods of (BG-OCC)/OCC, $R_A$, and $R_v$ which are often assumed that these values reflect the true values of $k_3/k_4$. The rate constants $K_1,\;k_2\;k_3$ and $k_4$ to be used for simulations were derived using [I-123]IPT SPECT and aterialized blood data with a standard three compartmental model. The sensitivities and time activity curves in BG and OCC were computed by changing $K_l$ and $k_3$(only BG) for every 5min over 2 hours. The values (BG-OCC)/OCC, $R_A$, and $R_v$ were then computed from the time activity curves and the linear regression analysis was used to measure the accuracies of these methods. The late constants $K_l,\;k_2\;k_3\;k_4$ at BG and OCC were $1.26{\pm}5.41%,\;0.044{\pm}19.58%,\;0.031{\pm}24.36%,\;0.008{\pm}22.78%$ and $1.36{\pm}4.76%,\;0.170{\pm}6.89%,\;0.007{\pm}23.89%,\;0.007{\pm}45.09%$, respectively. The Sensitivities for ((${\Delta}S/S$)/(${\Delta}k_3/k_3$)) and ((${\Delta}S/S$)/(${\Delta}K_l/K_l$)) at 30min and 120min were measured as (0.19, 0.50) and (0.61, 0,23), respectively. The correlation coefficients and slopes of ((BG-OCC)/OCC, $R_A$, and $R_v$) with $k_3/k_4$ were (0.98, 1.00, 0.99) and (1.76, 0.47, 1.25), respectively. These simulation results indicate that a late [I-123]IPT SPECT image may represent the distribution of the dopamine transporters. Good correlations were shown between (3G-OCC)/OCC, $R_A$ or $R_v$ and true $k_3/k_4$, although the slopes between them were not unity. Pharmacokinetic computer simulations may be a very useful technique in studying dopamine transporter systems.

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Correlation Between Muscle Strength, Pulmonary Function and Respiratory Muscle in Children with Cerebral Palsy (뇌성마비 아동의 근력과 호흡기능의 상관관계)

  • Shin, Seung-Oh;Kim, Nan-Su
    • Journal of the Korean Society of Physical Medicine
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    • v.11 no.2
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    • pp.123-130
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    • 2016
  • PURPOSE: This study was conducted to determine correlations between grip and lower limb muscle strength and pulmonary function and respiratory muscle in children with cerebral palsy. METHODS: Subjects were 17 children with cerebral palsy. Inclusion criteria for participation were having GMFCS from I to III grade and ability to independently blow into a spirometer. Pulmonary function and respiratory muscle were measured with a spirometer. All subjects performed maximal expiratory flow maneuvers using a spirometer in order to determine their forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), peak expiratory flow (PEF) and FEV1/FVC, and maximum inspiratory pressure (MIP) and maximum expiratory pressure (MEP). Muscle strength was measured in terms of grip strength and lower limb muscle strength in terms of knee extension strength with a dynamometer and manual digital muscle tester respectively. Data were analyzed using Person product correlation. RESULTS: Grip strength significantly positively correlated with FVC (r=0.95, p<0.01), FEV1 (r=0.95, p<0.01), PEF (r=0.84, p<0.01), MIP (r=0.65, p<0.01) MEP (r=0.71, p<0.01) and lower limb strength with FVC (r=0.72, p<0.01), FEV1 (r=0.69, p<0.01), PEF (r=0.54, p<0.05), and MEP (r=0.69, p<0.01). CONCLUSION: Grip and lower limb muscle strengths of children with cerebral palsy were positively correlated pulmonary function and respiratory muscle.

AKARI OBSERVATIONS OF MASSIVE STAR-FORMING REGIONS INDICATIVE OF LARGE-SCALE CLOUD-CLOUD COLLISIONS

  • Hattori, Yasuki;Kaneda, Hidehiro;Ishihara, Daisuke;Yamagishi, Mitsuyoshi;Kondo, Toru;Sano, Hidetoshi
    • Publications of The Korean Astronomical Society
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    • v.32 no.1
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    • pp.123-125
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    • 2017
  • We present our AKARI study of massive star forming regions where a large-scale cloud-cloud collision possibly contributes to massive star formation. Our targets are Spitzer bubbles, which consist of two types of bubbles, closed and broken ones; the latter is a candidate of the objects created by cloud-cloud collisions. We performed mid- and far-infrared surface photometry toward Spitzer bubbles to obtain the relationship between the total infrared luminosity, $L_{IR}$, and the bubble radius, R. As a result, we find that $L_{IR}$ is roughly proportional to $R^{\beta}$ where ${\beta}=2.1{\pm}0.4$. Broken bubbles tend to have larger radii than closed bubbles for the same $L_{IR}$.

Optimization of Multi-Atlas Segmentation with Joint Label Fusion Algorithm for Automatic Segmentation in Prostate MR Imaging

  • Choi, Yoon Ho;Kim, Jae-Hun;Kim, Chan Kyo
    • Investigative Magnetic Resonance Imaging
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    • v.24 no.3
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    • pp.123-131
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    • 2020
  • Purpose: Joint label fusion (JLF) is a popular multi-atlas-based segmentation algorithm, which compensates for dependent errors that may exist between atlases. However, in order to get good segmentation results, it is very important to set the several free parameters of the algorithm to optimal values. In this study, we first investigate the feasibility of a JLF algorithm for prostate segmentation in MR images, and then suggest the optimal set of parameters for the automatic prostate segmentation by validating the results of each parameter combination. Materials and Methods: We acquired T2-weighted prostate MR images from 20 normal heathy volunteers and did a series of cross validations for every set of parameters of JLF. In each case, the atlases were rigidly registered for the target image. Then, we calculated their voting weights for label fusion from each combination of JLF's parameters (rpxy, rpz, rsxy, rsz, β). We evaluated the segmentation performances by five validation metrics of the Prostate MR Image Segmentation challenge. Results: As the number of voxels participating in the voting weight calculation and the number of referenced atlases is increased, the overall segmentation performance is gradually improved. The JLF algorithm showed the best results for dice similarity coefficient, 0.8495 ± 0.0392; relative volume difference, 15.2353 ± 17.2350; absolute relative volume difference, 18.8710 ± 13.1546; 95% Hausdorff distance, 7.2366 ± 1.8502; and average boundary distance, 2.2107 ± 0.4972; in parameters of rpxy = 10, rpz = 1, rsxy = 3, rsz = 1, and β = 3. Conclusion: The evaluated results showed the feasibility of the JLF algorithm for automatic segmentation of prostate MRI. This empirical analysis of segmentation results by label fusion allows for the appropriate setting of parameters.