• Korean Journal of Radiology
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• v.21 no.4
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• pp.471-482
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• 2020

Objective: We aimed to determine the optimized image-based surrogate endpoints (IBSEs) in targeted therapies for glioblastoma through a systematic review and meta-analysis of phase III randomized controlled trials (RCTs). Materials and Methods: A systematic search of OVID-MEDLINE and EMBASE for phase III RCTs on glioblastoma was performed in December 2017. Data on overall survival (OS) and IBSEs, including progression-free survival (PFS), 6-month PFS (6moPFS), 12-month PFS (12moPFS), median PFS, and objective response rate (ORR) were extracted. Weighted linear regression analysis for the hazard ratio for OS and the hazard ratios or odds ratios for IBSEs was performed. The associations between IBSEs and OS were evaluated. Subgroup analyses according to disease stage (newly diagnosed glioblastoma versus recurrent glioblastoma), types of test treatment, and types of response assessment criteria were performed. Results: Twenty-three phase III RCTs published between 2000 and 2017, including 8387 patients, met the inclusion criteria. OS showed strong correlations with PFS (standardized β coefficient [R] = 0.719), 6moPFS (R = 0.647), and 12moPFS (R = 0.638). OS showed no correlations with median PFS and ORR. In subgroup analysis according to types of therapies, PFS showed the highest correlations with OS in targeted therapies for cell cycle pathways (R = 0.913) and growth factor receptors and their downstream pathways (R = 0.962). 12moPFS showed the highest correlation with OS in antiangiogenic therapy (R = 0.821). The response assessment in neuro-oncology criteria provided higher correlation coefficients between OS and IBSEs than the Macdonald criteria. Conclusion: Overall, PFS is an optimized IBSE in targeted therapies for glioblastoma; however, 12moPFS is optimal in antiangiogenic therapy.

• Journal of the Korean Society of Physical Medicine
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• v.14 no.4
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• pp.115-123
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• 2019

PURPOSE: This study compared the scores of the Mini-Mental State Examination-Korean version (MMSE-K) and Korean version Montreal Cognitive Assessment (K-MOCA), which assess cognitive function, the Fugl- Meyer Upper-Extremity Assessment (FMA), which assess the upper extremity function; and Modified Barthel Index (MBI), which that assesses activities of daily living among patients receiving inpatient treatment following a diagnosis of stroke to determine the correlations among MMSE-K, K-MOCA, FMA, and MBI. METHODS: The study assessed the cognitive function using the MMSE-K and K-MOCA, upper extremity function using FMA, and activities of daily living using MBI. The data were analyzed using Pearson's correlation analysis and multiple regression analysis. RESULTS: An analysis of the differences in the MMSE-K, K-MOCA, MBI, and FMA scores according to the affected side, revealed differences in the, K-MOCA scores according to the affected side, where patients with right hemiplegia showed better cognitive function (p <.05). Correlation analysis among MMSE-K, K-MOCA, FMA, and MBI Showed significant correlations (p <.05). The results indicate that those with higher cognitive and upper extremity functions had higher performance of activities of daily living. CONCLUSION: The cognitive and upper extremity functions were correlated with the activities of daily living in stroke patients. Accordingly, applying physical therapy with a focus on improving the cognitive function and training activities of daily living could assist in the functional recovery of stroke patients significantly.

• Geomechanics and Engineering
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• v.14 no.5
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• pp.491-498
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• 2018

The Earth Mechanics Institute (EMI) was established at the Colorado School of Mines (CSM) in 1974 to develop innovations in rock mechanics research and education. During the last four decades, extensive rock mechanics research has been conducted at the EMI. Results from uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), point load index (PLI), punch penetration (PP), and many other types of tests have been recorded in a database that has been unexamined for research purposes. The EMI database includes over 20,000 tests from over 1,000 different projects including mining and underground construction, and analysis of this database to identify relationships has been started with preliminary results reported here. Overall, statistically significant correlations are identified between bulk density and mechanical strength properties through UCS, BTS, PLI, and PP testing of sedimentary, igneous, and metamorphic rocks. In this paper, bulk density is considered as a surrogate metric that reflects both mineralogy and porosity. From this analysis, sedimentary rocks show the strongest correlation between the UCS and bulk density, whereas metamorphic rocks exhibit the strongest correlation between UCS and PP. Data trends in the EMI database also reveal a linear relationship between UCS and BTS tests. For the singular case of rock coral, the database permits correlations between bulk density of the core versus the deposition depth and porosity. The EMI database will continue under analysis, and will provide additional insightful and comprehensive understanding of the variation and predictability of rock mechanical strength properties and density. This knowledge will contribute significantly toward the increasingly safe and cost-effective geostructures and construction.

• Journal of Environmental Science International
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• v.26 no.8
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• pp.927-938
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• 2017

This study was conducted to determine correlations and similarity between the ozone and $PM_{10}$ data of 19 air quality monitoring stations in Busan from 2013 to 2016, using correlation and cluster analyses. Ozone concentrations ranged from $0.0278{\pm}0.0148ppm$ at Gwangbok to $0.0378{\pm}0.017ppm$ at Taejongdae and were high in suburban areas, such as Yongsuri and Gijang, as well as in coastal areas, such as Jaw, Gwangan, Taejongdae and Noksan. $PM_{10}$ concentrations ranged from $37.2{\pm}25.0ug/m^3$ at Gijang to $58.3{\pm}32.2ug/m^3$ at and Jangrim. $PM_{10}$ concentrations were high in the west, exceeding the annual ambient air quality standard of $50ug/m^3$. Positive correlations were observed for ozone at most stations, ranging from 0.61 between Taejongdae and Sujeong to 0.92 between Bugok and Myeongjang. The correlation coefficients of $PM_{10}$ between stations ranged from 0.62 between Jangrim and Jaw to 0.9 between Gwangbok and Sujeong. Yeonsan, Daeyeon, and Myeongjang were highly correlated with other stations, so they needed to be reviewed for redundancy. Ozone monitoring stations were initially divided into two sections, north-western areas and suburban-coastal areas. The suburban-coastal areas were subsequently divided into three sections. $PM_{10}$ monitoring stations were initially divided into western and remaining areas, and then the remaining areas were subsequently divided into three sections.

• Korean Journal of Biological Psychiatry
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• v.19 no.1
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• pp.65-69
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• 2012

Objectives : Much is still unknown about the neurophysiological mechanisms or dynamics of the sleep onset process. Detrended fluctuation analysis (DFA) is a new tool for the analysis of electroencephalography (EEG) that may give us additional information about electrophysiological changes. The purpose of this study is to analyze long-range correlations of electroencephalographic signals by DFA and their changes in the sleep onset process. Methods : Thirty channel EEG was recorded in 61 healthy subjects (male:female=34:27, age=$27.2{\pm}3.0$ years). The scaling exponents, alpha, were calculated by DFA and compared between four kinds of 30s sleep-wakefulness states such as wakefulness, transition period, early sleep, and late sleep (stage 1). These four states were selected by the distribution of alpha and theta waves in O1 and O2 electrodes. Results : The scaling exponents, alpha, were significantly different in the four states during sleep onset periods, and also varied with the thirty leads. The interaction between the sleep states and the leads was significant. The means (${\pm}$ standard deviation) of alphas for the states were 0.94 (${\pm}0.12$), 0.98 (${\pm}0.12$), 1.10 (${\pm}0.10$), 1.07 (${\pm}0.07$) in the wakefulness, transitional period, early sleep and late sleep state respectively. The mean alpha of anterior fifteen leads was greater than that of posterior fifteen leads, and the two regions showed the different pattern of changes of the alpha during the sleep onset periods. Conclusions : The characteristic findings in the sleep onset period were the increasing pattern of scaling exponent of DFA, and the pattern was slightly but significantly different between fronto-temporal and parieto-occipital regions. It suggests that the long-range correlations of EEG have a tendency of increasing from wakefulness to early sleep, but anterior and posterior brain regions have different dynamical process. DFA, one of the nonlinear analytical methods for time series, may be a useful tool for the investigation of the sleep onset period.

• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.6
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• pp.934-939
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• 2012

To investigate and characterize basic patterns of prehypertension. Participants were divided into three groups; ideal blood pressure(n=40), prehypertension(n=62), and stage 1 hypertension groups(n=68) according to the JNC 7 standards. They answered questionnaire asking various symptoms and received clinical examination. Data were collected and analyzed in the focus of three Zheng patterns, cold-heat, deficiency-excess and four major hypertension types. Analysis of variance was used to find differences among groups. In addition, relationship between the cold-heat trends and risk factors of hypertension were analyzed using Pearson's correlation analysis. Three risk factors; age, body mass index (BMI), and fasting blood sugar (FBS) showed intergroup differences. Statistical significances were revealed in the cold-heat pattern and two hypertension subtypes. The cold scores decreased from $4.8{\pm}1.84$ to $3.9{\pm}1.88$ and $3.7{\pm}1.27$ (p=0.022), while the heat increased from $1.9{\pm}1.32$ to $2.8{\pm}1.72$ and $2.8{\pm}1.48$ (p=0.009). Additionally two hypertension subtypes, the excessive liver fire, and the yin-yang deficiency showed significant differences. Cold had negative correlations with blood pressure (both systolic and diastolic), BMI, triglyceride, and FBS. Heat had positive correlations with systolic blood pressure, BMI, triglyceride, and FBS. Prehypertension could be characterized by using the cold-heat patterns. The cold-heat are correlated with Blood pressure, BMI, blood lipids and sugar.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.28 no.4
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• pp.252-259
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• 2017

Objective: The purpose of this study was to investigate the impact of clinical and psychological factors on the self-concept of children and adolescents with epilepsy. Methods: Children and adolescents with epilepsy (n=60; age range=9-17 years) completed questionnaires about their epilepsy-related variables, self-concept, depressive symptoms, anxiety, family functions, and behavioral problems. The T-test and one-way analysis of variance were used to examine the variables affecting the total self-concept scores. To determine the independent variables by adjusting the significant variables, a stepwise regression analysis was performed. Results: In the correlational analysis, age, depressive symptoms, anxiety, social problems, attention problems, and internalizing problems had significantly negative correlations with self-concept. On the other hand, IQ and family functions showed positive correlations with selfconcept. Age (${\beta}=-0.177$, p=0.015), depressive symptoms (${\beta}=-0.487$, p<0.001), anxiety (${\beta}=-0.298$, p=0.008), and attention problems (${\beta}=-0.138$, p=0.048) were analyzed as independent factors to assess their impact on self-concept, and were found to account for 78.3% of the variance in self-concept by stepwise regression analysis. Conclusion: Parents and clinicians should pay attention to improving the self-concept of children and adolescents with epilepsy, especially if they have problems with depression, anxiety, or attention.

• The Korean Journal of Community Living Science
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• v.21 no.4
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• pp.605-618
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• 2010

This study was to investigate the effects of children's temperament, parenting behavior, and parenting stress on preschool children's prosocial behavior. The subjects were 190 children consisting of five and six years old and their mothers and fathers. They were selected from 6 kindergartens. Data was collected using the children's prosocial behavior index, the children's temperament index, the parenting behavior questionnaire, and the parenting stress questionnaire. The results were statistically analyzed using t-test, correlation analysis and multiple regression analysis. The study showed that there were some significant differences in children's prosocial behavior according to the children's gender, but there were no significant differences according to the children's age. Correlation analysis indicated that the children's prosocial behavior and children's temperament had significant correlation, especially the children's adaptability and activity indicated high positive correlations. In addition, the children's prosocial behavior and mother's warmth acceptance behavior had significant high positive correlation, and father's rejection restriction behavior had significant high negative correlation. Also, correlation analysis indicated that the children's prosocial behavior and the mother's and father's stress of parent-child dysfunctional interaction and educational distress had significant negative correlations. It was also found that children's gender, mother's permissiveness non- intervention behavior, mother's educational distress, mother's stress of parent-child dysfunctional interaction, and father's stress of parent-child dysfunctional interaction were all significant predictors of the preschool children's prosocial behavior.

• Journal of Environmental Science International
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• v.25 no.10
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• pp.1369-1379
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• 2016

This research assessed the disparity in anion generation according to the vertical structure of a Zelkova Serrata tree for the purpose of creating a pleasant and green city environment. Measurements for the study were conducted between July and August of 2014 in Chung-ju in the central region of the Republic of Korea. The average anion generation of vertical structure trees during active photosynthesis periods was: L Section ($839.0ea/cm^3$) > M Section ($664.6ea/cm^3$) > U Section ($472.0ea/cm^3$). According to DMRT analysis, significant difference was found in the average between the L, or M Locations and the U Locations. During dormant photosynthesis periods, records showed that the anion production at the M Location ($1,212.5ea/cm^3$) > L Location ($1,050.4ea/cm^3$) > H Location ($844.1ea/cm^3$), According to DMRT analysis, the difference within each location was significant for ${\alpha}=0.05$. In a comprehensive analysis of the weather factors in each vertical structure, anion generation during active photosynthesis periods showed a positive correlation with solar radiation and a negative correlation with wind speed. Dormant photosynthesis periods showed negative correlations with both solar radiation and temperature, and positive correlations with relative humidity and wind speed. Predictions from a multicenter retrospective study showed that during active photosynthesis periods, $Y_1=282.443X_1+512.07$, and $Y_2=314.337X_1+16.913X_2$, while during dormant photosynthesis periods, $Y_1=391.009X_1+840.043$, and $Y_2=351.412X_1+32.765X_2$.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.684-694
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• 2021

Resting-state Functional Magnetic Resonance Imaging(fMRI) data detects the temporal correlations in Blood Oxygen Level Dependent(BOLD) signal and these temporal correlations are regarded to reflect intrinsic cortical connectivity, which is deactivated during attention demanding, non-self referential tasks, called Default Mode Network(DMN). The relationship between fMRI and anatomical connectivity has not been studied in detail, however, the preceded studies have tried to clarify this relationship using Diffusion Tensor Imaging(DTI) and fMRI. These studies use method that fMRI data assists DTI data or vice versa and it is used as guider to perform DTI tractography on the brain image. In this study, we hypothesized that functional connectivity in resting state would reflect anatomical connectivity of DMN and the combined images include information of fMRI and DTI showed visible connection between brain regions related in DMN. In the previous study, functional connectivity was determined by subjective region of interest method. However, in this study, functional connectivity was determined by objective and advanced method through Independent Component Analysis. There was a stronger connection between Posterior Congulate Cortex(PCC) and PHG(Parahippocampa Gyrus) than Anterior Cingulate Cortex(ACC) and PCC. This technique might be used in several clinical field and will be the basis for future studies related to aging and the brain diseases, which are needed to be translated not only functional connectivity, but structural connectivity.