• The Korean Journal of Nuclear Medicine Technology
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• v.20 no.2
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• pp.3-8
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• 2016

Purpose SUV is one of the parameters that assist diagnosis in origin, metastasis and staging of cancer. Specially, it is important to compare SUV before and after chemo or radiation therapy to find out effectiveness of treatment. Storing PET data which has no quantitative change is needed for SUV comparison. However, there is a possibility to loss the data in external hard drive or MINIpacs that are managed by department of nuclear medicine. The aim of this study is to evaluate SUV and metabolic tumor volume (MTV) among reconstructed data (R-D) in workstation, R-D and re-sliced data (S-D) in PACS. Materials and Methods Data of 20 patients (aged $60.5{\pm}8.3y$) underwent $^{18}F-FDG$ PET (Biograph truepoint 40, mCT 40, mCT 64, mMR, Siemens) study were analysed. $SUV_{max}$, $SUV_{peak}$ and MTV were measured in liver, aorta and tumor after sending R-D in workstation, R-D and S-D in PACS to syngo.via software. Results R-D of workstation and PACS showed the same value as mean $SUV_{max}$ in liver, aorta and tumor were $2.95{\pm}0.59$, $2.35{\pm}0.61$, $10.36{\pm}6.15$ and $SUV_{peak}$ were $2.70{\pm}0.51$, $2.07{\pm}0.43$, $7.67{\pm}3.73$(p>0.05) respectively. Mean $SUV_{max}$ of S-D in PACS were decreased by 5.18%, 7.22%, 12.11% and $SUV_{peak}$ 2.61%, 3.63%, 10.07%(p<0.05). Correlation between R-D and S-D were $SUV_{max}$ 0.99, 0.96, 0.99 and $SUV_{peak}$ 0.99, 0.99, 0.99. And 2SD in balnd-altman analysis were $SUV_{max}$ 0.125, 0.290, 1.864 and $SUV_{peak}$ 0.053, 0.103, 0.826. MTV of R-D in workstation and PACS show the same value as $14.21{\pm}12.72cm^3$(p>0.05). MTV in PACS was decreased by 0.12% compared to R-D(p>0.05). Correlation and 2SD between R-D and S-D were 0.99 and 2.243. Conclusion $SUV_{max}$, $SUV_{peak}$, MTV showed the same value in both of R-D in workstation and PACS. However, there was statistically difference in $SUV_{max}$, $SUV_{peak}$ of S-D compare to R-D despite of high correlation. It is possible to analyse reliable pre and post SUV if storing R-D in main hospital PACS system.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.435-442
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• 2023

This study is a descriptive survey study to confirm the degree of depression, self-efficacy, life stress and smartphone addiction of nursing college students, and to identify their correlations and influencing factors. The study subjects had 15.85 points of depression, 3.19 points of self-efficacy, 2.47 points of life stress, and 39.23 points of smartphone addiction. As a result of analyzing smartphone addiction according to the general characteristics of the subjects, there was no statistically significant difference in grade and major, and there were significant differences in gender(t=-2.540, p=.014), grade(F=3.080, p=.029), smartphone importance(F=16.192, P<0.001), smartphone usage time (F=6.938, P<0.001). The subject's smartphone addiction showed a positive correlation with depression (r=.351, p<0.01), life stress (r=.321, p<.001), and self-efficacy (r=-.383, p<.001) showed a negative correlation. A negative correlation was found between depression and self-efficacy (r=-.529, p<.001), and a positive correlation was found between life stress (r=.568, p<.001). A negative correlation was found between self-efficacy and college life stress (r=-.434, p<.001). Self-efficacy appeared to be an influential factor in the subject's smartphone addiction. The goal is to provide basic data for programs and education to improve college students' self-efficacy.

• International Journal of Oral Biology
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• v.42 no.3
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• pp.143-147
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• 2017

In a previous study, Peptoniphilus mikwangii was isolated from the human oral cavity as a new species. The purpose of this study was to develop P. mikwangii-specific PCR primers. The PCR primers were designed, based on the nucleotide sequence of 16S ribosomal RNA (16S rDNA). The specificity of the primers was tested using genomic DNAs of 3 strains of P. mikwangii and 27 strains (27 species) of non-P. mikwangii bacteria. The sensitivity of primers sensitivity was determined using PCR, with serial dilutions of the purified genomic DNAs (4 ng to 4 fg) of P. mikwangii KCOM $1628^T$. The data showed that P. mikwangii-specific qPCR primers (B134-F11/B134-R1 & B134-F5/B134-R5) could detect only P. mikwangii strains, and 400 fg or 40 fg of P. mikwangii genome DNA. These results suggest that PCR primers are useful in detecting P. mikwangii from the oral cavity.

• Journal of Korean Ophthalmic Optics Society
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• v.17 no.1
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• pp.67-74
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• 2012

Purpose: The purpose of this study to evaluate visual acuity and refractive state and measure and analyze the components of eye's optical system in children and teenagers. Methods: With subjects of 124 (230 eyes) children and teenagers who had no eye diseases, correlation between the correlation between refractive errors and component's of eye's optical system was investigated. The spherical equivalent power of cycloplegic clinical refraction or manifest clinical refraction(SE), corneal power(CP), corneal radius(CR), axial length(AL), anterior chamber depth(ACD) and axial length to corneal radius (AL/CR) ratio were measured and analysed. Results: the SE was negatively correlated with the AL(r = -0.80, p = 0.00), the ACD(r = -0.35, p = 0.00) and the CR(r = -0.11, p=0.00) and positively correlated with the CP(r = +0.11, p=0.00). The AL was positively correlated with the AL/CR ratio (r = +0.84, p = 0.00), the ACD(r = +0.47, p=0.00) and the CR(r = +0.38, p = 0.00) and negatively correlated with the CP(r = -0.38, p=0.00). The CR was negatively correlated with CP(r = -1.00, p = 0.00), the AL/CR ratio(r = -0.19, p = 0.00) and the ACD(r = -0.06, p = 0.39). The CP was positively correlated with the AL/CR ratio(r = +0.19, p = 0.00) and the ACD(r = +0.06, p = 0.39). The ACD was positively correlated with the AL/CR ratio(r = 0.53, p = 0.00). Conclusions: the highest change of refractive errors was shown that the AL/CR ratio was a very important indicator for diagnosing the refractive errors of the children and teenagers.

• Proceedings of the Korean Society of Crop Science Conference
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• 1991.05a
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• pp.18-19
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• 1991

• Proceedings of the Korean Ceranic Society Conference
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• 2004.04b
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• pp.36.3-36.3
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• 2004

• Proceedings of the Korean Ceranic Society Conference
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• 2003.10a
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• pp.40.1-40
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• 2003

• Journal of Digital Convergence
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• v.18 no.10
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• pp.361-370
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• 2020

This study identified the effect of menstrual attitude, life stress and clinical practice stress on premenstrual syndrome of nursing students. Data were analyzed with the SPSS 22.0 program using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and simple linear regression. Premenstrual syndrome was significantly negative correlated with menstrual attitude (r=.28, p=.004), positive correlated with life stress (r=.31, p=.001) and clinical practice stress (r=.29, p=.003). The factors that influence premenstrual syndrome were regular exercise (β=.-.18, p=.006) and dysmenorrhea (β=.51, p=.000), which explained 38.0%.

• Journal of Korean Home Economics Education Association
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• v.7 no.1
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• pp.11-27
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• 1995

The purpose of this research is to study the middle and high school student’s value on the family life of the contemporary society. The data for this study has been collected for 808 students of kangwon-do by Liert-scale Type questionnaire. The data were processed by SPSS-X Program. Frequency, Percentage, Mean, Standard Deviation, One-way ANOVA, Pearson’r coefficient, Step-wise multiple regression and Cronbach’coefficient have been calculated and analyzed. The Summary of this research is described as follows. Firstly, the overall average of value of family life was 3.25 points which reflected more or less modern tendency. Secondly, significant difference in the student’s value of family life affected by environmental variables were such as sex(P<.001) school years(P<.001) group(P<.01). Thirdly, the overall average of the student’s interest in the home economics was 3.74 points which reflected heigher tendency, Significant difference in the student’s interest in the home economics according to environmental variables were such as sex(P<.001) school years(P<.05), living standard(P<.01), residential area(P<.001). Fourthly, the student’s overall interest in the home economics and their view on the family life were correlated as follows; Spare time(r=-1.3), parents-children(r=.12) relatives and neighbors(r=0.8) show lower correlation and household work(r=.07) show higher correlation. Fifthly, the area which has closest correlation with the value on the family life was the value on family economics, whereas is has been shown that the field with least correlation was the area of supporting the spare time. Sixthly changes that affect the student’s value of the family life were such as sex (${\beta}$=.43), school years(${\beta}$=.18), group(${\beta}$=.15) and interest degrees(${\beta}$=-.12). These whole explanatory power was 21%.

• Journal of Oral Medicine and Pain
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• v.10 no.1
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• pp.73-89
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• 1985

This study comprised 157 extracted teeth, 73 of the teeth originated from mates and 84 from females, the age range was 12-79 years. The correlation coefficient of each Gustafson's criteria in relation to age was carried out. Age estimation were performed on 157 teeth according to the method by Gustafson and by use of multiple regression, as used by Johanson, after evaluating the six criteria of Gustafson by multiple regression computer analysis. Two prediction formulas and standard deviations were compared with each other. The results were as follows : 1. The author found that six Gustafson's criteria had strong correlation with age except root resorption, and correlation coefficients were r = 0.79 (Transparent dentin), r=0.72 (Secondary dentin), r 0.69 (Periodontal change), r=0.63(Attrition), r = 0.39 (Root resorption), respecti vely. 2. The age estimation formula by Gustafson's method was calculated as follows: Y 8.88 + 3.52X r =0.87, r2 = 0.76, SD = 8.18, F = 483.56, P < 0.01 The age estimation formula by multiple regression was calculated as follows: Y 8.57 + 6.37T + 6.37T + 4.63P + 2.70S + 2.40C + 3.08A + 1.34R r= 0.89, r2 = 0.78, SD = 7.82, F = 91.62, P < 0.01, Durbin-Watson Coefficient = 1.09 3. In comparison of two estimation formulas, the formula by multiple regression, the method of Johanson, was found to be slightly more reliable than Gustafson's method. Gustafson's method SD = 8.18, Multiple regression (Johanson's method) SD = 7.82 4. It was reaffirmed that Gustafson's six criteria could be a independent variable in multiple regression analysis.