• Journal of Bio-Environment Control
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• v.29 no.2
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• pp.161-170
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• 2020

There is systematic spatial variations in environmental properties due to sensitive reaction to external conditions at plastic greenhouse occupied 99.2% of domestic agricultural facilities. In order to construct 3 dimensional distribution of temperature, relative humidity, CO₂ and illuminance, measurement matrix as 3 by 3 by 5 in direction of width, height and length, respectively, dividing indoor space of greenhouse was designed and tested at experimental site. Linear regression analysis was conducted to evaluate optimal estimation method in terms with horizontal and vertical variations. Even though sole measurement point for temperature and relative humidity could be feasible to assess indoor condition, multiple measurement matrix is inevitably required to improve spatial precision at certain time domain such as period of sunrise and sunset. In case with CO₂, multiple measurement matrix could not successfully improve the spatial predictability during a whole experimental period. In case with illuminance, prediction performance was getting smaller after a time period of sunrise due to systematic interference such as indoor structure. Thus, multiple sensing methodology was proposed in direction of length at higher height than growing bed, which could compensate estimation error in spatial domain. Appropriate measurement matrix could be constructed considering the transition of stability in indoor environmental properties due to external variations. As a result, optimal measurement matrix should be carefully designed considering flexibility of construction relevant with the type of property, indoor structure, the purpose of crop and the period of growth. For an instance, partial cooling and heating system to save a consumption of energy supplement could be successfully accomplished by the deployment of multiple measurement matrix.

• Journal of The Korean Ophthalmological Society
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• v.59 no.11
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• pp.1024-1029
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• 2018

Purpose: We examined aqueous humor levels of 25-hydroxyvitamin D (vitamin D) in patients with age-related macular degeneration to investigate possible relationships between aqueous humor vitamin D levels and clinical manifestations. Methods: Patients > 50 years of age, 52 eyes of 34 patients with age-related macular degeneration, and 23 eyes of 17 patients treated with cataract surgery without retinal disease, were examined for aqueous humor vitamin D levels and compared. The experimental group was divided into two groups according to the median value of aqueous humor vitamin D levels. We compared the clinical manifestations of macular degeneration in both groups and identified relationships between aqueous humor vitamin D levels and clinical features. Results: Vitamin D levels in the aqueous humor were significantly lower in the experimental group than in the control group (experimental, $10.03{\pm}10.1ng/mL$ vs. control group, $40.8{\pm}16.4ng/mL$; p < 0.001). Patients with high vitamin D levels in the macular degeneration group had a higher percentage of fibrovascular pigment epithelial detachments than those in the low grade group (high grade group, 65% vs. low grade group, 27%; p = 0.003). Multiple linear regression analysis showed a significant correlation between vitamin D levels and the total number of anti-vascular endothelial growth factor intravitreal injections within 6 months (standardize coefficient, ${\beta}=-0.336$). Conclusions: Patients with wet age-related macular degeneration had significantly lower vitamin D levels in the aqueous humor compared to control group subjects of similar ages. However, in patients with macular degeneration, low vitamin D levels were associated with a greater number of intravitreal injections, while higher levels of vitamin D may lead to more advanced forms of fibrovascular retinal pigment epithelium and related low vision. These relationships were not always constant, so further studies on the relationships between local vitamin D levels and ocular disorders are needed.

• The Korean Journal of Nuclear Medicine
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• v.31 no.1
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• pp.73-82
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• 1997

Regional myocardial blood flow (rMBF) can be noninvasively quantified using N-13 ammonia and dynamic positron emission tomography (PET). The quantitative accuracy of the rMBF values, however, is affected by the distortion of myocardial PET images caused by finite PET image resolution and cardiac motion. Although different methods have been developed to correct the distortion typically classified as partial volume effect and spillover, the methods are too complex to employ in a routine clinical environment. We have developed a refined method incorporating a geometric model of the volume representation of a region-of-interest (ROI) into the two-compartment N-13 ammonia model. In the refined model, partial volume effect and spillover are conveniently corrected by an additional parameter in the mathematical model. To examine the accuracy of this approach, studies were performed in 9 coronary artery disease patients. Dynamic transaxial images (16 frames) were acquired with a GE $Advance^{TM}$ PET scanner simultaneous with intravenous injection of 20 mCi N-13 ammonia. rMBF was examined at rest and during pharmacologically (dipyridamole) induced coronary hyperemia. Three sectorial myocardium (septum, anterior wall and lateral wall) and blood pool time-activity curves were generated using dynamic images from manually drawn ROIs. The accuracy of rMBF values estimated by the refined method was examined by comparing to the values estimated using the conventional two-compartment model without partial volume effect correction rMBF values obtained by the refined method linearly correlated with rMBF values obtained by the conventional method (108 myocardial segments, correlation coefficient (r)=0.88). Additionally, underestimated rMBF values by the conventional method due to partial volume effect were corrected by theoretically predicted amount in the refined method (slope(m)=1.57). Spillover fraction estimated by the two methods agreed well (r=1.00, m=0.98). In conclusion, accurate rMBF values can be efficiently quantified by the refined method incorporating myocardium geometric information into the two-compartment model using N-13 ammonia and PET.