• Korean Journal of Biological Psychiatry
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• v.24 no.4
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• pp.219-224
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• 2017

Objectives This study sought to investigate the relationship between age, sex and alterations in levels of % carbohydrate-deficient transferrin (%CDT) and gamma-glutamyl transferase (GGT) in patients admitted with alcohol dependence. Methods The study retrospectively enrolled 187 patients who were diagnosed with alcohol dependence according to the Diagnostic and Statistical Manual of Mental Disorders-Fourth edition (DSM-IV) and were admitted into a closed ward in Hallym University Hangang Sacred Heart Hospital from 2009 to 2012 and Hallym University Kangnam Sacred Heart Hospital from 2012 to 2017. Demographic factors (age, sex) and biochemical markers [%CDT, GGT, mean corpuscular volume (MCV), aspartate transferase (AST), alanine transferase (ALT)] were collected by reviewing medical records. Alterations in the levels of %CDT and GGT in different groups for each demographic factor were compared after correcting for confounding variables (age, initial %CDT, GGT, MCV, AST, ALT). Results Decreased %CDT and GGT were observed during the period of abstinence after admission. The normalization period for %CDT increased with age, while the normalization period for GGT was longer in female patients. Conclusions These results suggest that alcohol-dependent patients that vary in age have different alterations in %CDT, while different sexes have different alterations in GGT. Age and sex can be potential indicators of treatment response after abstinence in patients with alcohol dependence. Further studies are needed to evaluate the relationship between these factors with regards to physiological and hematological changes in alcohol dependence.

• The Korean Journal of Physiology and Pharmacology
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• v.9 no.3
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• pp.159-164
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• 2005

Effects of antioxidants on the established nephropathy were investigated. The experimental nephropathy was induced in rats by intravenous injection of adriamycin (2 mg/kg). Six weeks later, when proteinuria was apparent, the rats were supplemented with N-acetylcysteine (NAC, 1 g/kg/day) in drinking water for additional 6 weeks. Glomerulosclerosis score and tubulointerstitial injury index were determined by light microscopy. Expression of transforming growth factor (TGF) ${\beta}1$ and laminin ${\beta}1$ was determined in the renal cortex by reverse transcription-polymerase chain reaction, Western blotting, immunohistochemistry, and immunogold electron microscopy. The adriamycin-induced proteinuria as well as the glomerulosclerosis and tubulointerstitial injury was ameliorated by the treatment with NAC. Adriamycin increased the expression of TGF ${\beta}1$ mRNA and protein, which was ameliorated by NAC. Although the expression of laminin ${\beta}1$ mRNA was increased, adriamycin did not significantly alter that of its protein. These results indicate that antioxidants ameliorate the established nephropathy in association with normalization of overexpressed TGF ${\beta}1$.

• Proceedings of the Korean Geotechical Society Conference
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• 1997.03a
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• pp.161-168
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• 1997

The purpose of this study is to evaluate the possibility of normalization of the distibutions of soil parameters taken from soft ground and the reliability of the safety factors of specific objects on it, including sanitary landfill. Through this study it is found that distributions of soil parameters could be adjusted to appropriate normal distributions as possibility density functions(PDF), and that especially the group of initial cohesions and the coresponding safety factors has a perfect linear correlation. According to those results the PDF to initial cohesion as possibility parameter can not only be tmsformed to the PDF to safety factor but also, conseqently, the reliability of the safety factor(SF) simply based on the mean value of soil parameter(Co) can be calculated or easily picked up from the standrad normal distribution table. It is therefore concluded that even though calculated values of safety factors are over any standard requirements some possibility of risk both to the objects and natural soft ground could be still existing, and also a new standard value for this slope stability control system should be derived just by adjusting old one according to the magnitude of risk possibility.

• Journal of Wetlands Research
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• v.25 no.1
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• pp.64-73
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• 2023

Before 2022, there was a lot of confusion in the process of planning and implementing the projects for ecological restoration of the stream due to dualization the principal agent of stream management. Because the Ministry of Environment took charge of the project in 2022, securing the health of aquatic ecosystem of stream became an essential factor in the project. Therefore, in this study, the streams that require the project for ecological restoration was selected in Han River estuary, where it is essential to secure the health of the stream aquatic ecosystem as blackish water zone and Ramsar wetland are located. Physical, chemical, spatial/humanistic, health of aquatic ecosystems evaluation indexes were calculated based on the detailed facts and figures of the project for ecological restoration of the stream in the beginning. Ranking, re-scaling, z-score, and t-score normalization methods were applied to the calculated evaluation index, and the values were compared and analyzed. After that, the entropy weight method was applied to each evaluation index. Through this process, the streams(Mokgamcheon, Anyangcheon etc.) that require the project for ecological restoration were selected for the purpose of securing the health of the aquatic ecosystem in Han River estuary. The result of this study can be used as basic research data in the process of selecting the priority determination of the projects for ecological restoration of the stream.

• Journal of IKEEE
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• v.22 no.1
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• pp.14-20
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• 2018

The purpose of training a convolutional neural network (CNN) is to obtain weight factors that give high classification accuracies. The initial values of hyper-parameters affect the training results, and it is important to train a CNN with a suitable hyper-parameter set of a learning rate, a batch size, the initialization of weight factors, and an optimizer. We investigate the effects of a single hyper-parameter while others are fixed in order to obtain a hyper-parameter set that gives higher classification accuracies and requires shorter training time using a proposed VGG-like CNN for training since the VGG is widely used. The CNN is trained for four datasets of CIFAR10, CIFAR100, GTSRB and DSDL-DB. The effects of the normalization and the data transformation for datasets are also investigated, and a training scheme using merged datasets is proposed.

• Childhood Kidney Diseases
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• v.21 no.1
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• pp.26-30
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• 2017

Newborn infants with huge and highly vascular sacrococcygeal teratoma (SCT) are frequently subjected to renal hypoperfusion secondary to high-output cardiac failure. Any underlying renal dysfunction is a significant risk factor for the development of contrast-induced nephropathy (CIN). However, reports on CIN in infants are rare. I report here a case of a premature infant born at 28 weeks and 3 days of gestation with a huge SCT who survived preoperative embolization and surgical resection but presented with persistent non-oliguric renal failure that was suggestive of CIN. During radiological intervention, a contrast medium had been administered at about 10 times the manufacturer-recommended dose for pediatric patients. Despite hemodynamic stabilization and normalization of urine output immediately following surgery, the patient's serum creatinine and cystatin-C levels did not return to baseline until 4 months after birth. No signs of reflux nephropathy were observed in follow-up imaging studies. Dosing guidelines for the use of a contrast medium in radiological interventions should be provided for infants or young patients.

• Magazine of the Korean Society of Agricultural Engineers
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• v.32 no.E
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• pp.20-32
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• 1990

Abstract This study was conducted to pursue the normalization of frequency distribution by making an approach to the coefficient of skewness to nearly zero through the Box-Cox transformation, to get probable flood flows can be calculated by means of the transformation equation which has been derivated by Box-Cox transformation in the annual maximum series of the applied watersheds. It has been concluded that Box-Cox transfromation is proved to be more efficient than logarithmic, square root and SMEMAX transformation which is based on the trigonometric solution of a right triangle whose three verteces repesent the smallest, median and largest observed values of a population in making the coefficient of skewness nearer to zero. Consequently it is shown that probable flood flows according to the return period based on Box-Cox transformation are closer to the observed data as compared to other methods including SMEMAX transformation and fitted probability distributions such as the three parameter lognormal and the type I extremal distribution for the applied watersheds.

• Proceedings of the KSRS Conference
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• v.1
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• pp.504-507
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• 2006

Airborn Lidar technology has been applied to diverse applications with the advantages of accurate 3D information. Further, Lidar intensity, backscattered signal power, can provid us additional information regarding target's characteristics. Lidar intensity varies by the target reflectance, moisture condition, range, and viewing geometry. This study purposes to generate normalized airborne LiDAR intensity image considering those influential factors such as reflectance, range and geometric/topographic factors (scan angle, ground height, aspect, slope, local incidence angle: LIA). Laser points from one flight line were extracted to simplify the geometric conditions. Laser intensities of sample plots, selected by using a set of reference data and ground survey, werethen statistically analyzed with independent variables. Target reflectance, range between sensor and target, and surface slope were main factors to influence the laser intensity. Intensity of laser points was initially normalized by removing range effect only. However, microsite topographic factor, such as slope angle, was not normalized due to difficulty of automatic calculation.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.869-870
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• 2008

Illumination variation is the most significant factor affecting face recognition rate. In this paper, we propose adaptive smoothing based on combined most significant bit (CMSB) - plane and local entropy for robust face recognition in varying illumination. Illumination normalization is achieved based on Retinex method. The proposed method has been evaluated based on the CMU PIE database by using Principle Component Analysis (PCA).

• Journal of Korea Society of Industrial Information Systems
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• v.5 no.4
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• pp.32-38
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• 2000

It is an important factor to distinguish the kind of the character for increasing recognition rate before the character recognition in the document recognition system composed of the multi-font and multi-letter. All the letters of each country have a various men characteristic in the each composition. In this paper, we used the stroke density as a method to distinguish the letter, and it has been adopted Korean, English and Chinese character. Input data is processed by the normalization to adopt multi-font document. Proposed method has been proved by the results of experiment the fact that the distinction probability of the Korean and English is more than 80%.