The aim of this study was to systematically review the latest clinical trials in music medicine and medical music therapy for pediatric patients. Thirteen databases were searched to obtain randomized controlled/crossover design studies published between the year 2000 and 2012 in English language. Out of 1012 articles retrieved in the initial search, fifteen studies were identified based on an exclusion criteria. Overall, selected articles involved children 1 month to 18 years, sample size of 11 to 150, and total participants of 987. Studies were classified and compared as music medicine or music therapy studies through a systematic synthesis assessing general characteristics, methodological quality, measured outcomes, types of interventions and the study results. Seven music medicine and eight music therapy studies measured seven dependent variables using thirty-six different measurement tools with a large heterogeneity in the selection, type, and method of music interventions. Evaluation of the methodological quality revealed that many studies did not provide a full report of the research method, and did not meet some or most methodological standards, such as randomization, allocation concealment, double or partial blinding, and intention to treat analysis. Although overall research results were positive if not significant, poor methodological quality and heterogeneity in design and intervention strategies raise the question of research bias and trustworthiness issues. The systematic review concluded that music may have a valuable clinical effect in addressing the physical and psychosocial needs of hospitalized children, although more rigorous, homogeneous and replicable studies are greatly needed.
This paper proposes a novel approach to model updating for a large-scale cable-stayed bridge based on ambient vibration tests coupled with a hybrid metaheuristic search algorithm. Vibration measurements are carried out under excitation sources of passing vehicles and wind. Based on the measured structural dynamic characteristics, a finite element (FE) model is updated. For long-span bridges, ambient vibration test (AVT) is the most effective vibration testing technique because ambient excitation is freely available, whereas a forced vibration test (FVT) requires considerable efforts to install actuators such as shakers to produce measurable responses. Particle swarm optimization (PSO) is a famous metaheuristic algorithm applied successfully in numerous fields over the last decades. However, PSO has big drawbacks that may decrease its efficiency in tackling the optimization problems. A possible drawback of PSO is premature convergence leading to low convergence level, particularly in complicated multi-peak search issues. On the other hand, PSO not only depends crucially on the quality of initial populations, but also it is impossible to improve the quality of new generations. If the positions of initial particles are far from the global best, it may be difficult to seek the best solution. To overcome the drawbacks of PSO, we propose a hybrid algorithm combining GA with an improved PSO (HGAIPSO). Two striking characteristics of HGAIPSO are briefly described as follows: (1) because of possessing crossover and mutation operators, GA is applied to generate the initial elite populations and (2) those populations are then employed to seek the best solution based on the global search capacity of IPSO that can tackle the problem of premature convergence of PSO. The results show that HGAIPSO not only identifies uncertain parameters of the considered bridge accurately, but also outperforms than PSO, improved PSO (IPSO), and a combination of GA and PSO (HGAPSO) in terms of convergence level and accuracy.
This study used raw data from the Korea Medical Panel Survey for 2014 to analyze the factors affecting the cost of medicine expenditure. A total of 3,107 people with medical expenses were selected for the final analysis. Analysis methods were frequency analysis, crossover analysis, regression analysis and t-test. The significance level of all tests was p = .05. The prescription cost was 72.4%, the minimum cost was 84 won, the maximum cost was 270,653 won, and the highest amount was 'over 3,000 won~less than 10,000 won' (31.7%). The general pharmaceuticals cost was 81.8%, the minimum cost was 800 won, the maximum cost was 2,718,000 won, and the highest amount was 'less than 20,000 won' (31.4%). The herbal medicine cost was 9.4%, the minimum cost was 4,000 won, the maximum cost was 2,700,000 won, and the highest amount was 'over 100,000 won' (37.8%). The medicines expenditure was the maximum cost was 2,760,093 won, and the highest amount was 'over 100,000 won' (27.0%). Factors affecting medicine expenditure were gender, marital status, income quintile, easement, and subjective health status.
The purpose of the present study was to evaluate the bioequivalence of two cefaclor capsules, Ceclor (Lilly Korea Co., Ltd.) and Kyongbocefaclor (Kyongbo Pharm. Co., Ltd.), according to the guidelines of the Korea Food and Drug Administration (KFDA). The release of cefaclor from the two cefaclor formulations in vitro was tested using KP VIII Apparatus II method with various dissolution media (pH 1.2, 4.0, 6.8 buffer solution and water). Twenty four healthy male subjects, $22.96{\pm}1.52$ years in age and $67.03{\pm}7.90$ kg in body weight, were divided into two groups and a randomized $2{\times}2$ crossover study was employed. After one capsule containing 250 mg of cefaclor was orally administered, blood was taken at predetermined time intervals and the concentrations of cefaclor in serum were determined using HPLC method with UV detector. The dissolution profiles of two formulations were similar at all dissolution media. In addition, the pharmacokinetic parameters such as $AUC_t$, $C_{max}$ and $T_{max}$ were calculated and ANOVA test was utilized for the statistical analysis of the parameters using logarithmically transformed $AUC_t$, $C_{max}$ and untransformed $T_{max}$. The results showed that the differences between two formulations based on the reference drug, Ceclor, were -1.90%, 2.68% and -7.60% for $AUC_t$, $C_{max}$ and $T_{max}$, respectively. There were no sequence effects between two formulations in these parameters. The 90% confidence intervals using logarithmically transformed data were within the acceptance range of log 0.8 to log 1.25 $(e.g.,\;log0.91{\sim}log\;1.06\;and\;log0.92{\sim}log\;1.18\;for\;AUC_t\;and\;C_{max}$, respectively). Thus, the criteria of the KFDA bioequivalence guideline were satisfied, indicating Kyongbocefaclor capsule was bioequivalent to Ceclor capsule.
A bioequivalence of $Melax^{TM}$ capsules (Chong Kun Dang Pharm., Korea) and $Mobic^{TM}$ capsules (Boehringer Ingelheim Korea) was evaluated according to the guideline of Korea Food and Drug Administration (KFDA). Single 15 mg dose of meloxicam of each medicine was administered orally to 24 healthy male volunteers. This study was performed in a $2\;{\times}\;2$ crossover design. Concentrations of meloxicam in human plasma were monitored by a high-performance liquid chromatography. $AUC_t$ (the area under the plasma concentration-time curve from time zero to 72 hr) was calculated by the linear trapezoidal rule method. $C_{max}$ (maximum plasma drug concentration) and $T_{max}$ (time to reach $C_{max}$) were compiled from the plasma concentration-time data. Analysis of variance was performed using logarithmically transformed $AUC_t$ and $C_{max}$. No significant sequence effect was found for all of the bioavailability parameters. The 90% confidence intervals of the $AUC_t$ ratio and the $C_{max}$ ratio for $Melax^{TM}/Mobic^{TM}$ were 0.95 - 1.04 and 0.98 - 1.14, respectively. This study demonstrated a bioequivalence of $Melax^{TM}$ and $Mobic^{TM}$ with respect to the rate and extent of absorption.
Journal of the Korea Academia-Industrial cooperation Society
/
v.19
no.1
/
pp.497-505
/
2018
This study was conducted to investigate the characteristics of private health insurance subscribers and non-subscribers as they relate to severely ill patients, and to identify the factors of participation. The study was conducted using the National Health and Nutrition Examination Survey for 2015, and data were analyzed using SPSS ver. 23.0. The subjects were 417 patients with severe disease (cancer, heart disease, cerebrovascular disease) over 19 years of age. Crossover analysis was employed to identify differences between the state of private health insurance participation, while binary logistic regression analysis was used to confirm the factors affecting private health insurance subscription. Analysis of the effects of the subjects on the private health insurance participation rate revealed that the social and demographic characteristics were higher in younger individuals regardless of sex, residence, or marital status. Moreover, higher household income, regardless of the education level, was associated with a higher participation rate of health insurance target individuals compared to medical benefit target individuals. The private health insurance participation rate was low and the explaining power was 51.7%, regardless of subjective health awareness and walking practice. Therefore, efforts should be made to improve the living environment and support local governmental programs for the elderly, low income households, socially vulnerable groups with limited activities and groups with limited health behavior. It is also necessary to consider various health policies, such as providing government health education or programs to prevent severe illness.
Lim, Seung Hyun;Lee, Chan Wook;Hong, Sung Jin;Yoo, Do Guen
Journal of the Korea Academia-Industrial cooperation Society
/
v.21
no.5
/
pp.294-302
/
2020
In a genetic algorithm, computer simulations are performed based on the natural evolution process of life, such as selection, crossover, and mutation. The genetic algorithm searches the approximate optimal solution by the parallel arrangement of Schema, which has a short definition length, low order, and high adaptability. This study examined the possibility of improving the efficiency of the optimal solution by considering the characteristics of the building block hypothesis, which are one of the key operating principles of a genetic algorithm. This study evaluated the efficiency of the optimization results according to the gene sequence for the implementation in solving problems. The optimal design problem of the water pipe was selected, and the genetic arrangement order reflected the engineering specificity by dividing into the existing, the network topology-based, and the flowrate-based arrangement. The optimization results with a flowrate-based arrangement were, on average, approximately 2-3% better than the other batches. This means that to increase the efficiency of the actual engineering optimization problem, a methodology that utilizes clear prior knowledge (such as hydraulic properties) to prevent such excellent solution characteristics from disappearing is essential. The proposed method will be considered as a tool to improve the efficiency of large-scale water supply network optimization in the future.
Kim, In-Wha;Han, Tae-Gyu;Kim, Kyung-Sik;Chung, Suk-Jae;Lee, Min-Hwa;Shim, Chang-Koo
Journal of Pharmaceutical Investigation
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v.28
no.3
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pp.185-191
/
1998
A bioequivalence study of the Loxipen tablets (Dae Wha Pharmaceutical Co., Korea) to the Loxonin tablets (Dong Hwa Pharmaceutical Co., Korea), formulations of sodium loxoprofen anhydrous 60 mg, was conducted. Sixteen healthy Korean male subjects received each formulation at the dose of 60 mg as sodium loxoprofen anhydrous in a $2{\times}2$ crossover study. There was a 2-week washout period between the dose. Plasma concentrations of loxoprofen were monitored by an HPLC method for over a period of 6 h after each administration. AUC (area under the plasma concentration-time curve from time zero to infinity) was calculated by the linear trapezoidal and extrapolation method. $C_{max}$ (maximum plasma drug concentration) and $T_{max}$$(time\;to\;reach\;C_{max})$ were compiled from the plasma drug concentration-time data. Analysis of variance (ANOVA) revealed that there are no differences in AUC, $C_{max}$ and $T_{max}$ between the formulations. The apparent differences between the formulations in these parameters were all far less than 20% (i.e., 5.88, 7.81 and 6.09% for AUC, $C_{max}$ and $T_{max}$, respectively). Minimum detectable differences (%) at ${\alpha}=0.1$ and $1-{\beta}=0.8$ were all less than 20% difference in these parameters between the formulations were all over 0.8 (i.e., 15.81, 13.13 and 19.85 for AUC, $C_{max}$ and $T_{max}$, respectively). The 90% confidence intervals for these parameters were also within ${\pm}20%$ (i.e., $-16.52{\sim}4.77$, $-16.65{\sim}1,02$ and $-19.45{\sim}7.28%$ for AUC, $C_{max}$ and $T_{max}$, respectively). These results satisfy the bioequivalence criteria of the Korea Food and Drug Administration (KFDA) guidelines (No. 98-51). Therefore, these results indicate that the 2 formulations of loxoprofen are bioequivalent and, thus, may be prescribed interchangeably.
A bioequivalence of Daewoong $Alendronate^{TM}$ (Daewoong Pharmaceutical Co., Ltd., Korea) and $Fosamax^{TM}$ tablets (MSD Korea) was evaluated according to the guideline of Korea Food and Drug Administration (KFDA). A single 70 mg dose of sodium alendronate of each medicine was administered orally to 56 healthy male volunteers. This study was performed in a $2\;{\time}\;2$ crossover design. Concentrations of alendronate in the urine were monitored by a high-performance liquid chromatography (HPLC). $A_{et}$ (cumulative urinary excreted amount from time 0 to last sampling interval) was calculated by the accumulation of the urinary excreted alendronate. $U_{max}$ (maximum urinary excretion rate) and $T_{max}$ (time to reach $U_{max}$) were compiled from the urinary excretion rate - time data. Analysis of variance was performed using logarithmically transformed $A_{et}$ and $U_{max}$. No significant sequence effect was found for all of the bioavailability parameters. The 90% confidence intervals of the $A_{et}$ and $U_{max}$ for Daewoong $Alendronate^{TM}/Fosamax^{TM}$ were 0.89-1.12 and 0.82-1.02, respectively. This study demonstrated the bioequivalence of Daewoong $Alendronate^{TM}$ and $Fosamax^{TM}$ with respect to the rate and extent of absorption.
Bioequivalence of two cefixime capsules, test drug ($Cepirin^R$ capsule: Cheiljedang Corp.) and reference drug ($Suprax^R$ capsule: Dong A Pharm. Com.), was evaluated according to the guidelines of Korea Food and Drug Administration (KFDA). Sixteen healthy volunteers were divided randomly into two groups and administered the drug orally at the dose of 400 mg as cefixime in a $2{\times}2$ crossover study. There was a 1-week washout period between the administrations. Blood samples were taken at predetermined time intervals for 12 hour and the plasma concentration of cefixime was determined with a HPLC method. $AUC_{0-12hr}$ (area under the plasma concentration-time curve form time zero to 12 hour), $C_{max}$ (maximum plasma drug concentration) and $T_{max}$ (time to reach $C_{max}$) were estimated from the plasma drug concentrationtime data. Analysis of variance (ANOVA) revealed no difference in $AUC_{0-12hr}$, $C_{max}$ and $T_{max}$ between the formulations. The apparent differences of these parameters between the formulations were less than 20% (i.e., 8.62, 11.10 and 0.00% for $AUC_{0-12hr}$, $C_{max}$ and $T_{max}$,respectively). The powers $(1-{\beta})$ for $AUC_{0-12hr}$$C_{max}$ and $T_{max}$ were over 0.9. Minimal detectable difference $({\Delta})$ at ${\alpha}=0.05$, $1-{\beta}=0.8$ were less than 20% (i.e., 12.84, 11.05 and 17.99% for $AUC_{0-12hr}$, $C_{max}$ and $T_{max}$, respectively). The 90% confidence intervals $({\delta})$ for these parameters were also within ${\pm}20%$ (i.e., $-0.53{\le}{\delta}{\le}17.76$, $3.23{\le}{\delta}{\le}18.97$ and $-12.81{\le}{\delta}{\le}12.81$ for $AUC_{0-12hr}$, $C_{max}$ and $T_{max}$, respectively). These results satisfied the criteria of KFDA guideline for bioequivalence, indicating the two formulations of cefixime were bioequivlent.
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