• Journal of the Chungcheong Mathematical Society
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• v.24 no.4
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• pp.735-743
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• 2011

Let f be a diffeomorphism of a closed n-dimensional smooth manifold. In this paper, we introduce the notion of $C^1$-stably periodic shadowing property for a closed f-invariant set, and prove that for a transitive set ${\Lambda}$, if f has the $C^1$-stably periodic shadowing property on ${\Lambda}$, then ${\Lambda}$ admits a dominated splitting.

• Nutrition Research and Practice
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• v.13 no.5
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• pp.434-443
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• 2019

BACKGROUND/OBJECTIVES: The intake of sugar has increased worldwide, and it is well established that childhood experiences and food preferences affect lifelong eating habits. To discourage sugar intake, nutrition education was imparted, and the effectiveness of the nutrition education program was investigated by considering the nutrient density and major dietary sources of sugar intake. SUBJECTS/METHODS: Twenty four-hour dietary recall and sugar intake frequency of 96 pre-school children (educated n = 47; non-educated n = 49) were collected on 3 consecutive days (1 weekend day, 2 weekdays) after 11 weeks of imparting nutrition education. Dietary intake of nutrients and total sugar were analyzed, and the intake frequency of sugar source foods were identified. All nutrition education programs were focused on a hands-on education program, and consisted of cooking lab, play, activity, animation, and visual materials. The difference between the two groups was verified by the Chi-square test or t-test. All statistical analysis was performed with significance level at P < 0.05. RESULTS: Compared to the non-educated group, the intakes of protein (P < 0.001), fiber (P < 0.01), potassium (P < 0.05), iron (P < 0.05), zinc (P < 0.05), and iodine (P < 0.001) were significantly higher, and the intakes of carbohydrate (P < 0.01) and total sugar (P < 0.05) were significantly lower in the educated group. The cumulative percent of sugar intake of top 20 sugar source foods in the educated group (82.80%) was lower than that of the non-educated group (85.75%). The contribution of beverages on total sugar intake was lower in the educated group. The average frequency of consuming sugary foods was significantly lower in the educated group (P < 0.05). CONCLUSIONS: Our results indicate that nutrition education on discouraging sugar intake is effective in reducing the amount of total sugar consumed, resulting higher nutrient density in the diets of pre-school children.

• Korean Journal of Radiology
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• v.22 no.12
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• pp.2073-2081
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• 2021

Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

• Journal of the Korean Society of Earth Science Education
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• v.1 no.1
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• pp.111-118
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• 2008

This study is aimed at analyzing earth conception the nine pre service teachers who are majoring in earth science education and classifying a special feature from the ontological categories. Open ended questionnaires and semi structured interviews which meant to contribute to identifying ontological categories of concepts involving study area were designed. Pre service teachers' ontological category about earth conception most showed to dynamic and proto process. In the results show that many pre service teachers recognize simply the conception to a material, a condition and a conversion of the state changing. Most of the pre service teachers show their intermediate understanding level about the earth inner construction according to the analyzed results of the drawing tasks and interviews. The main alternative conceptions show them through a definition of the plate, a wording definition between lithosphere and asthenosphere, a feature of the plate boundary, a heat convection in the earth inner, the earth inner heat source, the earth inner structure, a physical feature of the mantle.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.365-366
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• 2006

This paper describes a pre-processing methodology which can apply to remote speech recognition system of service robot in noisy environment. By combining beamforming and blind source separation, we can overcome the weakness of beamforming (reverberation) and blind source separation (distributed noise, permutation ambiguity). As this method is designed to be implemented with hardware, we can achieve real-time execution with FPGA by using systolic array architecture.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.537-555
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• 2021

Many researchers have carried out studies related to programming languages since the beginning of computer science. Besides programming with traditional programming languages (i.e., procedural, object-oriented, functional programming language, etc.), a new paradigm of programming is being carried out. It is programming with natural language. By programming with natural language, we expect that it will free our expressiveness in contrast to programming languages which have strong constraints in syntax. This paper surveys the approaches that generate source code automatically from a natural language description. We also categorize the approaches by their forms of input and output. Finally, we analyze the current trend of approaches and suggest the future direction of this research domain to improve automatic code generation with natural language. From the analysis, we state that researchers should work on customizing language models in the domain of source code and explore better representations of source code such as embedding techniques and pre-trained models which have been proved to work well on natural language processing tasks.

• Food Science of Animal Resources
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• v.34 no.2
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• pp.158-165
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• 2014

The effects of replacing pork back fat with brewer's spent grain (BSG) pre-emulsion for physicochemical, textural properties, and sensory evaluations of reduced-fat chicken sausages are evaluated. Control was prepared with 15% pork back fat, and three reduced-fat chicken sausages were formulated with the replacement of 20, 25, and 30% pork back fat with BSG pre-emulsion. The pH level of reduced-fat sausages formulated with BSG pre-emulsion is lower than that of the control (p<0.05). The redness, yellowness, and apparent viscosity of reduced-fat chicken sausages increase proportionally with increasing BSG pre-emulsion (p<0.05). With increasing BSG pre-emulsion concentration, the fat contents and energy values are decreased in reduced-fat chicken sausages (p<0.05). The BSG pre-emulsion improves the hardness, gumminess, and chewiness of reduced-fat chicken sausages (p<0.05), and the reduction in fat and the addition of BSG pre-emulsion had no influence on the cohesiveness of the chicken sausage. And there is no significant difference in the overall acceptability among control, T1 (chicken sausage with 20% of BSG pre-emulsion, 10% of fat addition), and T2 (chicken sausage with 25% of BSG pre-emulsion, 5% of fat addition) (p>0.05). Therefore, our results indicate that BSG is effective dietary fiber source for manufacturing of reduced-fat meat product and suggest that 20-25% of BSG pre-emulsion is suitable for pork back fat in chicken sausages.

• Korean Chemical Engineering Research
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• v.52 no.4
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• pp.413-424
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• 2014

The potential of using the biogas as energy source has long been widely recognised and current techniques are being developed to upgrade the technical quality and to enhance energy efficiency. The objective of this paper is to present efficient and effective pre-treatment methods of increasing the amount of produced biogas in anaerobic digestion of activated sludge treatment process. The paper also presents a review of the effect on biogas production between pre-treated and raw sludge, and also put forward the advantages and disadvantages of each pre-treatment method.

• Korean Journal of Exercise Nutrition
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• v.24 no.2
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• pp.6-10
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• 2020

[Purpose] Milk is a commonly ingested post-exercise recovery protein source. Casein protein, found in milk, is characterized by its slow digestion and absorption. Recently, several studies have been conducted with a focus on how pre-sleep casein protein intake could affect post-exercise recovery but our knowledge of the subject remains limited. This review aimed at presenting and discussing how pre-sleep casein protein ingestion affects post-exercise recovery and the details of its potential effector mechanisms. [Methods] We systematically reviewed the topics of 1) casein nutritional characteristics, 2) pre-sleep casein protein effects on post-exercise recovery, and 3) potential effector mechanisms of pre-sleep casein protein on post-exercise recovery, based on the currently available published studies on pre-sleep casein protein ingestion. [Results] Studies have shown that pre-sleep casein protein ingestion (timing: 30 minutes before sleep, amount of casein protein ingested: 40-48 g) could help post-exercise recovery and positively affect acute protein metabolism and exercise performance. In addition, studies have suggested that repeated pre-sleep casein protein ingestion for post-exercise recovery over a long period might also result in chronic effects that optimize intramuscular physiological adaptation (muscle strength and muscle hypertrophy). The potential mechanisms of pre-sleep casein protein ingestion that contribute to these effects include the following: 1) significantly increasing plasma amino acid availability during sleep, thereby increasing protein synthesis, inhibiting protein breakdown, and achieving a positive protein balance; and 2) weakening exercise-induced muscle damage or inflammatory responses, causing reduced muscle soreness. Future studies should focus on completely elucidating these potential mechanisms. [Conclusion] In conclusion, post-exercise ingestion of at least 40 g of casein protein, approximately 30 minutes before sleep and after a bout of resistance exercise in the evening, might be an effective nutritional intervention to facilitate muscle recovery.

• Journal of Korean Society for Atmospheric Environment
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• v.19 no.6
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• pp.701-717
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• 2003

The objective of this study was to extensively estimate the air quality trends of the study area by surveying con-centration trends in months or seasons, after analyzing the mass concentration of PM-10 samples and the inorganic lements, ion, and total carbon in PM-10. Also, the study introduced to apply the PMF (Positive Matrix Factoriza-tion) model that is useful when absence of the source profile. Thus the model was thought to be suitable in Korea that often has few information about pollution sources. After obtaining results from the PMF modeling, the existing sources at the study area were qualitatively identified The PM-10 particles collected on quartz fiber filters by a PM-10 high-vol air sampler for 3 years (Mar. 1999∼Dec.2001) in Kyung Hee University. The 25 chemical species (Al, Mn, Ti, V, Cr, Fe, Ni, Cu, Zn, As, Se, Cd, Ba, Ce, Pb, Si, N $a^{#}$, N $H_4$$^{+}$, $K^{+}$, $Mg^{2+}$, $Ca^{2+}$, C $l^{[-10]}$ , N $O_3$$^{[-10]}$ , S $O_4$$^{2-}$, TC) were analyzed by ICP-AES, IC, and EA after executing proper pre - treatments of each sample filter. The PMF model was intensively applied to estimate the quantitative contribution of air pollution sources based on the chemical information (128 samples and 25 chemical species). Through a case study of the PMF modeling for the PM-10 aerosols. the total of 11 factors were determined. The multiple linear regression analysis between the observed PM-10 mass concentration and the estimated G matrix had been performed following the FPEAK test. Finally the regression analysis provided source profiles (scaled F matrix). So, 11 sources were qualitatively identified, such as secondary aerosol related source, soil related source, waste incineration source, field burning source, fossil fuel combustion source, industry related source, motor vehicle source, oil/coal combustion source, non-ferrous metal source, and aged sea- salt source, respectively.ively.y.