• Title/Summary/Keyword: crossover analysis

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Comparison of Endotracheal Intubation in Difficult Postures by Using the SALT(Supraglottic Airway Laryngopharyneal Tube)

  • Yun, Seong-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.12
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    • pp.227-233
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    • 2020
  • The purpose of this study is to compare the speed, confidence, and ease of endotracheal intubation in a difficult posture by using the SALT(Supraglottic Airway Laryngopharyngeal Tube), and a direct laryngoscope to improve the ability to implement professional airway management. The subject of the study was an experimental study by a randomized crossover design, targeting 30 first-class emergency medical technicians working in J-do fire station, and the SPSS 20.0 version was used for data analysis. The endotracheal intubation by using SALT showed a significant difference in speed compared to endotracheal intubation by using a direct laryngoscope(p<.001), and also showed a significant difference in confidence and ease(p<.001). If it is difficult to endotracheal intubation by direct laryngoscope, or in the case of trauma patients, if SALT is used, safe and rapid intubation will be possible. In addition, to improve the efficiency of professional airway management, it is believed that the introduction of SALT in domestic sites is necessary.

Comparison of Endotracheal Intubation to Transfer - A Study of Simulation Using the SALT - (이송 중 기관내 삽관의 효율성 비교 - SALT를 이용한 시뮬레이션 연구 -)

  • Yun, Seong-Woo;Jung, Jun-Ho;Lee, Hyo-Ju;Choi, Mi-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.300-302
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    • 2022
  • The purpose of this study is to compare the speed, confidence, and ease of endotracheal intubation in a transfer posture by using the SALT(Supraglottic Airway Laryngopharyngeal Tube), and a direct laryngoscope to improve the ability to implement professional airway management. The subject of the study was an experimental study by a randomized crossover design, targeting 28 first-class emergency medical technicians working in J-do fire station, and the SPSS 20.0 version was used for data analysis. The endotracheal intubation by using SALT showed a significant difference in speed compared to endotracheal intubation by using a direct laryngoscope(p<.001), and also showed a significant difference in confidence and ease(p<.001). If it is transfer to endotracheal intubation by direct laryngoscope, or in the case of transfer patients, if SALT is used, safe and rapid intubation will be possible.

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Analysis of Optimal Infiltraction Route using Genetic Algorithm (유전자 알고리즘을 이용한 최적침투경로 분석)

  • Bang, Soo-Nam;Sohn, Hyong-Gyoo;Kim, Sang-Pil;Kim, Chang-Jae;Heo, Joon
    • Korean Journal of Remote Sensing
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    • v.27 no.1
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    • pp.59-68
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    • 2011
  • The analysis of optimal infiltration path is one of the representative fields in which the GIS technology can be useful for the military purpose. Usually the analysis of the optimal path is done with network data. However, for military purpose, it often needs to be done with raster data. Because raster data needs far more computation than network data, it is difficult to apply the methods usually used in network data, such as Dijkstra algorithm. The genetic algorithm, which has shown great outcomes in optimization problems, was applied. It was used to minimize the detection probability of infiltration route. 2D binary array genes and its crossover and mutation were suggested to solve this problem with raster data. 30 tests were performed for each population size, 500, 1000, 2000, and 3000. With each generation, more adoptable routes survived and made their children routes. Results indicate that as the generations increased, average detection probability decreased and the routes converged to the optimal path. Also, as the population size increases, more optimal routes were found. The suggested genetic algorithm successfully finds the optimal infiltration route, and it shows better performance with larger population.

Climate Change and Health - A Systemic Review of Low and High Temperature Effects on Mortality (기후변화와 건강 - 저온과 고온이 사망에 미치는 영향에 관한 체계적 고찰)

  • Lim, Youn-Hee;Kim, Ho
    • Journal of Environmental Health Sciences
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    • v.37 no.6
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    • pp.397-405
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    • 2011
  • Objectives: The impact of climate change on the health has been of increasing concern due to a recent temperature increase and weather abnormality, and the research results of the impact varied depending on regions. We synthesized risk estimates of the overall health effects of low and high temperature taking account of the heterogeneity. Methods: A comprehensive literature search was conducted using PUBMED to identify journal articles of low and/or high temperature effects on mortality. The search was limited to the English language and epidemiological studies using time-series analysis and/or case-crossover design. Random-effect models in meta analysis were used to estimate the percent increase in mortality with $1^{\circ}C$ temperature decrease or increase with 95% confidence intervals (CI) in cold or hot days. Results: Twenty three studies were presented in two tables: 1) low temperature effects; 2) high temperature effects on mortality. The combined effects of low and high temperatures on total mortality were 2% (95% CI, 1-4%) per $1^{\circ}C$ decrease and 4% (95% CI, 2-5%) per $1^{\circ}C$ increase of temperature, respectively. Conclusions: This meta analysis found that both low and high temperatures affected mortality, and the magnitude of high temperature appeared to be stronger than that of low temperature.

The effect of chewing difficulty on depression in Korean adults over aged 40 years : The 7th Korean National Health and Nutrition Examination survey (2016~2018) (제7기(2016~2018) 국민건강영양조사를 이용한 40세 이상 한국 성인의 저작불편감이 우울에 미치는 영향)

  • Nam, Ji-Ae;Lee, Jung-Hwa
    • Journal of Korean society of Dental Hygiene
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    • v.21 no.5
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    • pp.601-610
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    • 2021
  • Objectives: The purpose of this study was to analyze the effect of chewing difficulty on depression in Korean adults to provide basic data on improving the quality of life related to oral health of Korean adults. Methods: The raw data of the analysis were obtained from the dataset of the seven Korea National Health and Nutrition Examination Survey conducted between 2016 and 2018. The subjects included 9,535 people who underwent oral examination and answered questions. The collected data were analyzed using the SPSS (ver 21.0) program using composite samples, and the mean crossover analysis and logistic return analysis were performed. Results: An analysis of the effects of chewing difficulty on depression in Korean adults showed that those with chewing difficulty had a 2.24 fold higher risk of depression (95% CI: 1.73-2.90) and a statistically significant difference (p<0.05). Conclusions: The association between the chewing difficulty on depression could be confirmed, and measures improve of the oral health and preventing depression should be prepared.

A Genetic Algorithm Approach to the Fire Sequencing Problem

  • Kwon, O-Jeong
    • Journal of the military operations research society of Korea
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    • v.29 no.2
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    • pp.61-80
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    • 2003
  • A fire sequencing problem is considered. Fire sequencing problem is a kind of scheduling problem that seeks to minimize the overall time span under a result of weapon­target allocation problem. The assigned weapons should impact a target simultaneously and a weapon cannot transfer the firing against another target before all planned rounds are consumed. The computational complexity of the fire sequencing problem is strongly NP­complete even if the number of weapons is two, so it is difficult to get the optimal solution in a reasonable time by the mathematical programming approach. Therefore, a genetic algorithm is adopted as a solution method, in which the representation of the solution, crossover and mutation strategies are applied on a specific condition. Computational results using randomly generated data are presented. We compared the solutions given by CPLEX and the genetic algorithm. Above $7(weapon){\times}15(target)$ size problems, CPLEX could not solve the problem even if we take enough time to solve the problem since the required memory size increases dramatically as the number of nodes expands. On the other hand, genetic algorithm approach solves all experimental problems very quickly and gives good solution quality.

Nanoscale Dynamics, Stochastic Modeling, and Multivariable Control of a Planar Magnetic Levitator

  • Kim, Won-Jong
    • International Journal of Control, Automation, and Systems
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    • v.1 no.1
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    • pp.1-10
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    • 2003
  • This paper presents a high-precision magnetically levitated (maglev) stage to meet demanding motion specifications in the next-generation precision manufacturing and nanotechnology. Characterization of dynamic behaviors of such a motion stage is a crucial task. In this paper, we address the issues related to the stochastic modeling of the stage including transfer function identification, and noise/disturbance analysis and prediction. Provided are test results on precision dynamics, such as fine settling, effect of optical table oscillation, and position ripple. To deal with the dynamic coupling in the platen, we designed and implemented a multivariable linear quadratic regulator, and performed time-optimal control. We demonstrated how the performance of the current maglev stage can be improved with these analyses and experimental results. The maglev stage operates with positioning noise of 5 nm rms in $\chi$ and y, acceleration capabilities in excess of 2g(20 $m/s^2$), and closed-loop crossover frequency of 100 Hz.

Overproduction of Cellulose in Acetobacter xylinum KCCM 10100 Defective in GDP-Mannosyltransferase

  • Park Sang-Tae;Kim Eung-Bin;Kim Young-Min
    • Journal of Microbiology and Biotechnology
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    • v.16 no.6
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    • pp.961-964
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    • 2006
  • GDP-mannosyltransferase (GMT) is an enzyme responsible for the addition of a mannose to glucose ($\alpha$[1$\rightarrow$3]) during biosynthesis of the water-soluble branched polysaccharide acetan in Acefobacter species. In an effort to obtain a cellulose-overproducing bacterium, a mutant defective in GMT of Acetobacter xylinum KCCM 10100 was constructed by single crossover homologous recombination using part of the aceA gene encoding GMT amplified by polymerase chain reaction. The GMT-disrupted mutant produced 23% more cellulose, but 16% less water-soluble polysaccharide than those of the wild-type strain. Analysis of the sugar composition by gel permeation chromatography revealed that water-soluble polysaccharides produced by the GMT-defective mutant contained no mannose molecule.

Statistical Considerations in the Design of Biosimilar Cancer Clinical Trials

  • Ahn, Chul;Lee, Seung-Chun
    • The Korean Journal of Applied Statistics
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    • v.24 no.3
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    • pp.495-503
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    • 2011
  • When a patent of an innovative (brand-name) small-molecule drug expires, generic copies of the innovative drug may be marketed if their therapeutic equivalence to the innovative drug has been shown. The small-molecule drugs are considered therapeutically equivalent and can be used interchangeably if two drugs are shown to be pharmaceutically equivalent with identical active substance and bioequivalent with comparable pharmacokinetics in a crossover clinical trial. However, the therapeutic equivalence paradigm cannot be applied to biosimilars since the active ingredients of biosimilars are huge molecules with complex and heterogeneous structures, and these molecules are difficult to replicate in every detail. The European Medicine Agency(EMEA) has introduced a regulatory biosimilar pathway which mandates clinical trials to show therapeutic equivalence. In this paper, we discuss statistical considerations in the design and analysis of biosimilar cancer clinical trials.

Cost Maximization Approach to Edge Detection Using a Genetic Algorithm (유전자 알고리즘을 이용한 비용 최대화에 의한 에지추출)

  • 김수겸;박중순
    • Journal of Advanced Marine Engineering and Technology
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    • v.21 no.3
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    • pp.293-301
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    • 1997
  • Edge detection is the first step and very important step in image analysis. We cast edge detec¬tion as a problem in cost maximization. This is acheived by the formulation of a cost function that evaluates the quality of edge configurations. The cost function can be used as a basis for compar¬ing the performances of different detectors. We used a Genetic Algorithm for maximizing cost func¬tion. Genetic algorithms are a class of adaptive search techniques that have been intensively stud¬ied in recent years and have been prone to converge prematurely before the best solution has been found. This paper shows that carefully chosen modifications(three factors of the crossover opera¬tor) are implemented can be effective in alleviating this problem.

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