• Title/Summary/Keyword: r-mean convergence

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MEAN CONVERGENCE THEOREMS AND WEAK LAWS OF LARGE NUMBERS FOR DOUBLE ARRAYS OF RANDOM ELEMENTS IN BANACH SPACES

  • Dung, Le Van;Tien, Nguyen Duy
    • Bulletin of the Korean Mathematical Society
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    • v.47 no.3
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    • pp.467-482
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    • 2010
  • For a double array of random elements {$V_{mn};m{\geq}1,\;n{\geq}1$} in a real separable Banach space, some mean convergence theorems and weak laws of large numbers are established. For the mean convergence results, conditions are provided under which $k_{mn}^{-\frac{1}{r}}\sum{{u_m}\atop{i=1}}\sum{{u_n}\atop{i=1}}(V_{ij}-E(V_{ij}|F_{ij})){\rightarrow}0$ in $L_r$ (0 < r < 2). The weak law results provide conditions for $k_{mn}^{-\frac{1}{r}}\sum{{T_m}\atop{i=1}}\sum{{\tau}_n\atop{j=1}}(V_{ij}-E(V_{ij}|F_{ij})){\rightarrow}0$ in probability where {$T_m;m\;{\geq}1$} and {${\tau}_n;n\;{\geq}1$} are sequences of positive integer-valued random variables, {$k_{mn};m{{\geq}}1,\;n{\geq}1$} is an array of positive integers. The sharpness of the results is illustrated by examples.

PRECISE ASYMPTOTICS IN COMPLETE MOMENT CONVERGENCE FOR DEPENDENT RANDOM VARIABLE

  • Han, Kwang-Hee
    • Honam Mathematical Journal
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    • v.31 no.3
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    • pp.369-380
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    • 2009
  • Let $X,X_1,X_2,\;{\cdots}$ be identically distributed and negatively associated random variables with mean zeros and positive, finite variances. We prove that, if $E{\mid}X_1{\mid}^r$ < ${\infty}$, for 1 < p < 2 and r > $1+{\frac{p}{2}}$, and $lim_{n{\rightarrow}{\infty}}n^{-1}ES^2_n={\sigma}^2$ < ${\infty}$, then $lim_{{\epsilon}{\downarrow}0}{\epsilon}^{{2(r-p}/(2-p)-1}{\sum}^{\infty}_{n=1}n^{{\frac{r}{p}}-2-{\frac{1}{p}}}E\{{{\mid}S_n{\mid}}-{\epsilon}n^{\frac{1}{p}}\}+={\frac{p(2-p)}{(r-p)(2r-p-2)}}E{\mid}Z{\mid}^{\frac{2(r-p)}{2-p}}$, where $S_n\;=\;X_1\;+\;X_2\;+\;{\cdots}\;+\;X_n$ and Z has a normal distribution with mean 0 and variance ${\sigma}^2$.

R&D기반 성장모형의 실증분석

  • 조상섭;정동진;장송자
    • Journal of Technology Innovation
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    • v.10 no.2
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    • pp.91-105
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    • 2002
  • This paper extends the empirical analysis on R&D based growth model so that the nonstationary panel unit root testing methods can be used to distinguish the exogenous growth model and R&D based growth model for the 1981-1999 period with fourteen OECD economies including Korea. Our results show that first, using U.S. and Group mean as benchmarking, the stochastic R&D productivity convergence to benchmarking is not supported in our data set. Second, the empirical results for stochastic nonconvergence to the U.S. or group mean also are robustness to panel unit root methods. We, therefore, find strong support for the implications for R&D based growth model.

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CA/C Ratio of Adults in Their Early Twenties with Normal Binocular Vision (양안시가 정상인 20대 초반 성인의 CA/C비)

  • Lee, Mu-Hyuk;Yu, Dong-Sik
    • Journal of Korean Ophthalmic Optics Society
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    • v.17 no.2
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    • pp.153-158
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    • 2012
  • Purpose: The purpose of this study was to evaluate the convergence accommodation to convergence (CA/C) ratio and to investigate relationships among age, accommodative amplitude and PD (interpupillary distance) of adults in their early twenties with normal binocular vision. Methods: 44 subjects (mean age, $21.75{\pm}1.16$ years) with healthy eyes were examined. The CA/C ratios were measured by using the difference of Gaussian (DOG) target with retinoscopy. Results: The mean CA/C ratio was $0.052{\pm}0.017$ D/$\Delta$. A moderate negative correction was present between CA/C ratio and age (r = -0.50, p = 0.0005), and a highly positive correction was found between CA/C ratio and accommodative amplitude (r = 0.79, p<0.0001). There was no relation between PD and CA/C ratio. Conclusions: The CA/C ratio presented was mean value for adults in their early twenties with healthy eye between 19 and 25 years of age. There was a high correlation between accommodative amplitude and CA/C ratio. Therefore, the CA/C ratio will be useful basic information for comparison in age, gender and binocular anomalies with similar data from other countries.

Enhancement of ${\beta}$-Glucosidase Activity from a Brown Rot Fungus Fomitopsis pinicola KCTC 6208 by Medium Optimization

  • Park, Ah Reum;Park, Jeong-Hoon;Ahn, Hye-Jin;Jang, Ji Yeon;Yu, Byung Jo;Um, Byung-Hwan;Yoon, Jeong-Jun
    • Mycobiology
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    • v.43 no.1
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    • pp.57-62
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    • 2015
  • ${\beta}$-Glucosidase, which hydrolyzes cellobiose into two glucoses, plays an important role in the process of saccharification of the lignocellulosic biomass. In this study, we optimized the activity of ${\beta}$-glucosidase of brown-rot fungus Fomitopsis pinicola KCTC 6208 using the response surface methodology (RSM) with various concentrations of glucose, yeast extract and ascorbic acid, which are the most significant nutrients for activity of ${\beta}$-glucosidase. The highest activity of ${\beta}$-glucosidase was achieved 3.02% of glucose, 4.35% of yeast extract, and 7.41% ascorbic acid where ascorbic acid was most effective. The maximum activity of ${\beta}$-glucosidase predicted by the RSM was 15.34 U/mg, which was similar to the experimental value 14.90 U/mg at the 16th day of incubation. This optimized activity of ${\beta}$-glucosidase was 23.6 times higher than the preliminary activity value, 0.63 U/mg, and was also much higher than previous values reported in other fungi strains. Therefore, a simplified medium supplemented with a cheap vitamin source, such as ascorbic acid, could be a cost effective mean of increasing ${\beta}$-glucosidase activity.

Relationships of Psychological Factors to Stress and Heart Rate Variability as Stress Responses Induced by Cognitive Stressors (스트레스에 대한 심리 반응 유형과 심박변이도의 관련성)

  • Jang, Eun Hye;Kim, Ah Young;Yu, Han Young
    • Science of Emotion and Sensibility
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    • v.21 no.1
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    • pp.71-82
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    • 2018
  • Stress involves changes in behavior, autonomic function and the secretion of hormones. Autonomic nervous system (ANS) contributes to physiological adaptive process in short durations. In particular, heart rate variability (HRV) analysis is commonly used as a quantitative marker depicting the ANS activity related to mental stress. The aim of this study is to investigate correlations between psychological responses to stress and HRV indices induced by the cognitive stressor. Thirty-three participants rated their mental and physical symptoms occurred during the past two weeks on Stress Response Inventory (SRI), which is composed of seven stress factors that may influence the status of mental stress levels. Then, they underwent the psychophysiological procedures, which are collected electrocardiogram (ECG) signals during a cognitive stress task. HRV indices, the standard deviation of R-R interval (SDNN), root mean square of successive R-R interval difference (RMSSD) and low frequency (LF)/high frequency (HF) ratio were extracted from ECG signals. Physiological responses were calculated stress responses by subtracting mean of the baseline from the mean of recovery. Stress factors such as tension, aggression, depression, fatigue, and frustration were positively correlated to HRV indices. In particular, aggression had significant positive correlations to SDNN, RMSSD and LF/HF ratio. Increased aggressive responses to stress correlated with the increases of all HRV indices. This means the increased autonomic coactivation. Additionally, tension, depression, fatigue, and frustration were positively associated with RMSSD reflecting increases in parasympathetic activation. The autonomic coactivation may represent an integrated response to specific cognitive reactions such as the orienting response.

The Convergence Study on the Relationship between the Job Stress and Mental Health of Nurses (간호사의 직무 스트레스와 정신건강 관련성에 대한 융합적 연구)

  • Kim, Mi-Jin;Kang, Gyun-Young
    • Journal of the Korea Convergence Society
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    • v.6 no.5
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    • pp.39-47
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    • 2015
  • This study was to explore the relationship between the job stress and mental health of nurses. The participants were 291 nurses from two general hospitals in C city. Job stress, mental health, and general characteristics of nurses were measured. The data were collected from April 7 to 30, 2015. The collected data was analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients and multiple regression analysis. The mean score for job stress was 61.96 point and 92.45 for mental health. The mean scores for job stress were significantly different by age and turnover experience in nurses. Job stress was positively correlated with mental health(r=.233, p=.000). The findings indicate that job stress has an influence on mental health. We'd like to provide basic data on developing convergence programs to prevent and intervene job stress considering nurses' mental health problems in nursing service that is rapidly changing and specialized for the convergence generation.

Relationship among Dementia Knowledge, Attitude, and Care Burden of Nurses in Center for Dementia (치매지원센터 간호사의 치매지식, 태도, 간호부담감 간의 상관관계)

  • Ko, IL Sun;Han, Eun-Kyoung;Kim, Doo Ree
    • Journal of the Korea Convergence Society
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    • v.8 no.9
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    • pp.67-75
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    • 2017
  • The purpose of this study was to identify the relationship among dementia knowledge, attitude and care burden of nurses in center for dementia. A total of 101 nurses in center for dementia filled out the structure questionnaires. The data were analyzed using the t-test, ANOVA, and Pearson correlation coefficients. The mean score of dementia knowledge was $18.14{\pm}1.09$ out of 20, and the mean of dementia attitude, care burden were $153.07{\pm}.76$ out of $266, 8.01{\pm}7.09$ out of 64 respectively. There was a significant correlation between care burden and dementia attitude(r=.25, p<.05) and dementia knowledge(r=-.32, p<.001). The results suggest that it is necessary to provide continuos education and support to improve dementia knowledge and change dementia attitude positively of nurses in order to reduce care burden of nurses in center for dementia.

Analysis of Characteristics of All Solid-State Batteries Using Linear Regression Models

  • Kyo-Chan Lee;Sang-Hyun Lee
    • International journal of advanced smart convergence
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    • v.13 no.1
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    • pp.206-211
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    • 2024
  • This study used a total of 205,565 datasets of 'voltage', 'current', '℃', and 'time(s)' to systematically analyze the properties and performance of solid electrolytes. As a method for characterizing solid electrolytes, a linear regression model, one of the machine learning models, is used to visualize the relationship between 'voltage' and 'current' and calculate the regression coefficient, mean squared error (MSE), and coefficient of determination (R^2). The regression coefficient between 'Voltage' and 'Current' in the results of the linear regression model is about 1.89, indicating that 'Voltage' has a positive effect on 'Current', and it is expected that the current will increase by about 1.89 times as the voltage increases. MSE found that the mean squared error between the model's predicted and actual values was about 0.3, with smaller values closer to the model's predictions to the actual values. The coefficient of determination (R^2) is about 0.25, which can be interpreted as explaining 25% of the data.