• Child Health Nursing Research
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• v.16 no.3
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• pp.220-229
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• 2010

Purpose: The purpose of this study was to describe quality of life in school age children and the relationship between quality of life and parenting attitude as perceived by children and parent-child communication pattern. Methods: Data were collected between May 26 and June 3, 2009 using self-report questionnaires from 148 pairs of children and their parents. The children were enrolled in 4th to 6th grades. The questionnaires included the Parental Bonding Instrument (PBI), Parent-Child Communication (PCC) Scale, and Pediatric Quality of Life Inventory (PedsQL). The data were analyzed using the SPSS WIN 17.0 program. Results: The Quality of Life (QOL) score for the children was significantly higher among children reporting higher parental bonding attitude (mother r=.38, father r=.34) and parent-child communication (mother r=.43, father r=.36). Results of multiple regression showed that factors significantly associated with QOL were academic achievement, caregiver available after school, parent-child communication, school satisfaction, relationship with peers, and birth order among siblings. Conclusion: Positive relationships and good communication with parents and satisfaction with school life were important factors associated with quality of life in school age children.

• Korean Journal of Clinical Laboratory Science
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• v.37 no.3
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• pp.207-211
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• 2005

Body index is known as it affects pulmonary function tests (PFT), so it has been used with predictive formula and nomogram in terms of sex, age, height, etc. Body indices as body weight, body mass index (BMI), and body surface area (BSA) might also affect PFT, so that we have analyzed the correlations between body indices and forced expiratory volume in one second ($FEV_1$), and have done multiple regression analysis to see how body indices affect $FEV_1$. We confirmed that $FEV_1$ had positive correlations with height (r=0.49, p<0.01), body weight (r=0.37, p<0.01), and BSA (r=0.47, p<0.01), inverse correlation with age (r=-0.45, p<0.01), but no correlation with BMI. We found that the 41.9% of $FEV_1$ was diverged from height, age and BSA. Therefore, BSA definitely needs to be considered with predictive formula and nomogram in PFT.

• Journal of the korean academy of Pediatric Dentistry
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• v.34 no.2
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• pp.247-254
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• 2007

Mutans streptococci have been reported to be implicated in dental caries. Of these streptococcal species, Streptcoccus mutans and Streptococcus sobrinus are most commonly found in human dental caries. Prevalence of these bacterial species in dental caries is found to be varied in different races and countries. Therefore, importance of these bacteria in dental caries remains to be determined The present study was performed to find out correlation S. mutans and S. sobrinus with dental caries in 125 Korean children with mixed dentition between 6 to 11 years of age. They were classified as group A(6-8 years) and group B(9-11 years) by age. For the study, stimulated saliva samples were collected from each subject. The vials containing saliva specimens were serially diluted (1:10) in saline and plated in duplicate on tryptone-yeast extract-cysteine with sucrose and bacitracin (TYCSB) for S. mutans and S. sobrinus. After genomic DNA was extracted from the samples, polymerase chain reaction (PCR) amplification was performed for identification using universal primers and specific primers to S. mutans and S. sobrinus. Data of microbial variables were compared to caries status of the subjects. According to this study, the result were as follows : 1. S. mutans versus S. sobrinus were moderate positive linear correlated in both group A(r=0.70) and group B(r=0.50). 2. Between S. mutans and dental caries there were weak positive linear correlation in both group A(r= 0.25) and group B(r=0.34). 3. S. sobrinus versus dental caries were not correlated in group A but slightly correlated in group B(r=0.21). 4. Between S. mutans and age, there were not correlation in both group. 5. S. sobrinus versus age were weak correlated in group A(r=0.32) but not correlated in group B.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.48 no.3
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• pp.377-385
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• 2015

The age and growth of the skipjack tuna Katsuwonus pelamis were determined using otoliths sampled from a Korean tuna purse seine fishery in the Western and Central Pacific Ocean from January 2005 to September 2006. A total of 312 otoliths were used to estimate the ages of skipjack tuna, which ranged from 1 to 7 years. The relationships between otolith ring radius (R) and fork length (FL) for female, male, and sex combined were FL = 19.74R + 1.50 ($r^2=0.54$), FL = 17.66R + 6.35 ($r^2=0.47$), and FL = 18.83R + 3.36 ($r^2=0.53$), respectively. The back-calculated fork lengths of each age ($FL_{year}$) were $FL_1=36.2cm$, $FL_2=43.3cm$, $FL_3=48.3cm$, $FL_4=52.6cm$, $FL_5=56.5cm$, $FL_6=60.8cm$, and $FL_7=63.2cm$. The relationships between fork length (FL) and total weight (TW) for female, male, and sex combined were $TW=0.00001FL^{3.19}(r^2=0.95)$, $TW=0.00001FL^{3.17}(r^2=0.95)$, and $TW=0.000009FL^{3.23}(r^2=0.95)$, respectively. The von Bertalanffy growth parameters of skipjack tuna estimated in this study were $L_{\infty}=77.4cm$, K = 0.176/year, and $t_0=-2.569years$.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.31 no.2
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• pp.302-308
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• 1998

The growth of the purple sea urchin, Anthocidaris crassispina, has been investigated using reproduction plates as a chararter of the age determination. The samples were collected on the coast of Daepo, in the southern part of Cheju Island from August, 1995 to July, 1996. Monthly growth of test diameter mainly occurred from December to March. The obvious growth, however, were not observed between April and June which seemed to be the resting period. This resting period well corresponded to the time of annual ring formation which was estimated from the analysis of the marginal growth rate. The growth curve fitted well with Bertalanffy equation: $$L_t=46.65 (1-e^{-0.283(t+9.210)}),\;W_t=44.90 (1-e^{-0.283(t+9.210)})^3$$

• Korean Journal of Fisheries and Aquatic Sciences
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• v.37 no.1
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• pp.44-50
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• 2004

Age and growth of the blue spot mudskipper (Boleophthalmus pectinirostris) were studied using the samples caught in the mud flats of southwestern Korea during April-October, 2001. The value of the marginal index of the second actinost bone was the lowest in July and October and indicated by rings that was analysis of formed teice a year. The relationship between body weigt (BW) and total length (TL) was expressed as BW=0.000005 $TL^{3.12}\;(r^2=0.92)$ for females and BW=0.000476 $TL=^{2.18}\;(r^2=0.62)$ for males. Regression analysis of TL-BW between sexes showed a significant difference (P<0.01). Relationship between total length (TL) and actinost radius (R) were expressed as TL=16.9+33.4 R $(r^2=0.62)$ for females and TL=45.8+26.2 R $(r^2=0.41)$ for males. Growth parameters, $L\infty,t_0$ and K were estimated as 165.2 mm, -0.23, and 1.07 for females and 155.3 mm, -0.35, and 1.39 for males.

• Journal of Korean Ophthalmic Optics Society
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• v.16 no.3
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• pp.293-297
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• 2011

Purpose: This study was to know the correlation among refractive error and the dimensions of ocular components on older adults. Methods: The subjects were 95 older age who had no eye diseases. The refractive error, corneal radius, corneal diopter, axial length, anterior chamber depth and lens thickness were measured and analysed. Results: The axial length(AL)/corneal radius(CR) ratio was positively correlated with the corneal diopter, axial length, the anterior chamber depth. Then it was negatively correlated with corneal radius. It was shown that the highest correlation was between the corneal diopter and axial length (r = -0.545, p = 0.000). The spherical equivalent of the refractive error was negatively correlated with the AL/CR ratio. Conclusions: It was shown that the AL/CR ratio was a very important indicator for diagnosing the refractive error of the old age.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.31 no.2
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• pp.121-126
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• 1995

Age and growth of stone flounder kareius bicolortus in approaches to Kyongyolbiyolto of Yellow sea were studied by otolith reading of 248 fishes from September 1992 to August 1993. Examination of the ourter margins of the otoliths showed that th hyaline zone as annulus was formed once a year and that its formation was completed at the end of the spawning season(Jan. to Feb.). Growth of the fish was expressed by the von Bertalanffy's equation as Lt=313.7[1-exp{-0.463(t+0.0704)}] for males and Lt=478.6[1-exp{-0.286(t-0.1619)}] for females, where Lt is body length in mm and It is age in years. It was found that growth of males and females differs, with the females showing a higher growth than the males. Growth in body weight was also examined. The oldest fish were seven years old for males and females.

• East Asian mathematical journal
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• v.18 no.2
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• pp.245-259
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• 2002

In this paper, all rings or (left)near-rings R are associative, and for near-ring R, all R-groups are right R action and all modules are right R-modules. First, we begin with the study of rings in which all the additive endomorphisms or only the left multiplication endomorphisms are generated by ring endomorphisms and their properties. This study was motivated by the work on the Sullivan's Problem [14]. Next, for any right R-module M, we will introduce AM modules and investigate their basic properties. Finally, for any nearring R, we will also introduce MR-groups and study some of their properties.

• CELLMED
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• v.10 no.1
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• pp.3.1-3.4
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• 2020

Spirituality is the dynamic and inherent dimension of humanity. This study aimsto evaluate the relationship between Spiritual Health, Mindfulness and Emotion Regulation among French Emerging Adults. An online cross-sectional survey design consisted of four hundred and twenty-one samples were recruited from different universities at Strasbourg, France. Participant's age ranged from 18 to 28 years with a mean age of 20.77 years (SD=2.22). The results, highlights that Spiritual Health Measure was significant and positive association with Mindfulness (r=.45, p < .01) and Reappraisal (r=.22, p < .01). Further, the significant negative correlation observed with Spiritual Dissonance (r=.44, p < .01) and Suppression (r=.24, p < .01). These findings support emerging literature on Spiritual Health. Future studies should evolve an intervention model to promote Spiritual Health and Positive Health.