• Bulletin of the Korean Chemical Society
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• v.17 no.3
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• pp.239-244
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• 1996

Mastoparan B (MP-B) that is a novel MP isolated from the hornet Vespa basalis, was studied as compared with MP, in terms of interaction with phospholipid bilayer and antimicrobial activity. MP-B has more hydrophilic amino acid residues in hydrophilic face of amphiphilic α-helical structure than MP. The both peptides exhibited considerably different effect on interaction with lipid bilayers, e.g. their conformation in the presence of acidic and neutral liposomes, dye-release ability from encapsulated liposomes, but on the whole the interaction mode was similar. On antimicrobial activity, MP had a strong activity against Gram-positive bacteria but no against Gram negative ones. Contrary to this, MP-B had a strong activity against Gram-positive and potent against Gram-negative ones. Since both peptides have almost same residues on the hydrophobic side, such more hydrophilic surface on the molecule seems to lead to the subtle change in its interaction with membranes, resulting in the alternation in its biological activity.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.339-341
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• 2012

This paper presents a method for generating an autonomous activity-based diary in the environment including a personal computer (PC). In order to record a user's various tasks in front of a PC, we consider the contextual information such as current time, opened programs, and user interactions. As one modality for the user interaction, a motion sensor was applied to recognize a user's hand gestures in case that the activity is conducted without interaction between the user and the PC. Moreover, we propose a temporal clustering method to recapitulate the sequential and meaningful activity in the stream of extracted PC usage logs. By combining those two processes, we summarize the user activities in the PC environment.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.877-885
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• 2022

Vision-based activity recognition has been widely attempted at construction sites to estimate productivity and enhance workers' health and safety. Previous studies have focused on extracting an individual worker's postural information from sequential image frames for activity recognition. However, various trades of workers perform different tasks with similar postural patterns, which degrades the performance of activity recognition based on postural information. To this end, this research exploited a concept of human-object interaction, the interaction between a worker and their surrounding objects, considering the fact that trade workers interact with a specific object (e.g., working tools or construction materials) relevant to their trades. This research developed an approach to understand the context from sequential image frames based on four features: posture, object, spatial features, and temporal feature. Both posture and object features were used to analyze the interaction between the worker and the target object, and the other two features were used to detect movements from the entire region of image frames in both temporal and spatial domains. The developed approach used convolutional neural networks (CNN) for feature extractors and activity classifiers and long short-term memory (LSTM) was also used as an activity classifier. The developed approach provided an average accuracy of 85.96% for classifying 12 target construction tasks performed by two trades of workers, which was higher than two benchmark models. This experimental result indicated that integrating a concept of the human-object interaction offers great benefits in activity recognition when various trade workers coexist in a scene.

• Korean Journal of Human Ecology
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• v.21 no.5
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• pp.875-888
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• 2012

This study seeks to determine children's poem composition through an activity-based nature experiencing program and how it affects their language expression and peer interaction. This research also seeks to provide preliminary data for producing more effective lecturing and learning plans. The forty participants in the study included twenty 5-year-old children from E kindergarten and 20 5-year-old children from G kindergarten in N city. The results of the study demonstrated that children in the experimental group who experienced the poem composing activity with the nature experiencing program demonstrated a positive effect in terms of the quality of language expression as well as peer interaction. These results indicate that children's poem composing activity done with nature experiencing program could be used as a new lecture and learning method for the development of language expression and peer interaction in early childhood education.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.121-132
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• 2021

This study analyzed the effect of the extracurricular activity management system on user satisfaction. For this purpose, the effects of content, navigation, screen frame, design, interaction, and error handling factors on user satisfaction were analyzed. A survey was conducted on 321 students of K University located in Chungcheongbuk-do, and the research results based on the survey contents are as follows. First, content, navigation, screen frame, interactivity, and error handling, which are major elements of the extracurricular activity management system, showed statistically significant results. Second, interactivity and error handling were found to have the greatest influence on the factors affecting user satisfaction of the extracurricular activity management system. In this study, it was found that the interaction of the whole system including contents is important for continuous improvement of the extracurricular activity management system, and that it has a positive effect on user satisfaction when prompt error handling is possible.

• Child Health Nursing Research
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• v.16 no.4
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• pp.239-248
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• 2010

Purpose: This study was done to evaluate effects of a mother-fetus interaction promotion program on maternal and infant sleep/activity regulation, and examine the correlation between maternal and infant sleep/activity. Methods: Thirty-four mother-infant dyads were recruited from an OB-GY clinic with postpartum care center, and assigned to the intervention group (17) or control group (17). Data were collected from January 18 to August 5 2005. A programmed education focused on mother-fetus interaction was provided to the intervention group in the 3rd trimester. Maternal sleep/activity record was completed at 32-36 weeks gestation and infant sleep/activity record was completed for one month after birth. Results: During the 3rd trimester, there were no significant differences in maternal sleep/activity between the groups, except for frequency of mothers' night awakening and urination at night. There were no significant differences in infant sleep, but significant difference was found in feeding times between the groups. Correlation of maternal sleep in the 3rd trimester and infant waking times was significant. Conclusion: The results of this study indicate that maternal sleep/activity during pregnancy influences infant sleep/activity at 3-4 weeks, and that nursing interventions to regulate maternal sleep/activity provided to primiparas can be beneficial to the regularity of infant sleep/activity patterns.

• Journal of KIISE
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• v.44 no.6
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• pp.595-600
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• 2017

Android applications are composed of one or more components. The components within an application or several applications may interact with each other primarily through intents. Such interactions may cause security and reliability issues such as broadcast theft, activity hijacking, and intent spoofing. These problems need to be resolved through testing techniques using various interaction test scenarios before an application gets launched. However, with the existing test scenario generation approach, some infeasible test scenarios may be generated since they do not consider the re-execution order based on activity setting when pressing the back button. This paper proposes a test case generation technique which removes infeasible interaction paths by utilizing the activity stack information.

• Journal of Engineering Education Research
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• v.18 no.4
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• pp.26-33
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• 2015

The purpose of this study is to microscopically analyze the problem solving activities in creative robotics making and programming activity in order to investigate the characteristics of team interaction in accordance with MBTI disposition of team members in the creative robotics making activity in which the engineering education has a lot interest in the recent years. For the prosecution of this study, teams composed of 2 students targeting 30 students who were at the related department of engineering education in the college of eduction, A university located in Daejeon were organized. In addition, individual propensities of team members, in other words, team dynamic structure and team interaction were analyzed through microscopical analysis of the problem solving activities in creative robotics making and programming activity. The results of this study showed that there was a static correlation between the organization of MBTI Heterogeneity team and the interaction of team members, and also there was a positive interaction of team members in organizing MBTI Homogeneity team in area of Thought (T) - Feeling (F). In addition, mutual complement to solve the problems was carried out and the problem-solving capability was shown in the course of the communication along with the organization of MBTI team of extreme heterogeneity.

• BMB Reports
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• v.31 no.5
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• pp.459-467
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• 1998

A new set of functional group interaction energy descriptors relevant to the ACE (Angiotensin-Converting Enzyme) inhibitory peptide, QSAR (Quantitative Structure Activity Relationships), is presented. The functional group interaction energies approximate the charged interactions and distances between functional groups in molecules. The effective energies of the computationally derived geometries are useful parameters for deriving 3D-QSAR models, especially in the absence of experimentally known active site conformation. ACE is a regulatory zinc protease in the renin-angiotensin system. Therapeutic inhibition of this enzyme has proven to be a very effective treatment for the management of hypertension. The non bond interaction energy values among functional groups of six-feature of ACE inhibitory peptides were used as descriptor terms and analyzed for multivariate correlation with ACE inhibition activity. The functional group interaction energy descriptors used in the regression analysis were obtained by a series of inhibitor structures derived from molecular mechanics and semi-empirical calculations. The descriptors calculated using electrostatic and steric fields from the precisely defined functional group were sufficient to explain the biological activity of inhibitor. Application of the descriptors to the inhibition of ACE indicates that the derived QSAR has good predicting ability and provides insight into the mechanism of enzyme inhibition. The method, functional group interaction energy analysis, is expected to be applicable to predict enzyme inhibitory activity of the rationally designed inhibitors.

• Journal of Nutrition and Health
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• v.28 no.10
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• pp.1022-1030
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• 1995

Saponins are glycosidic compounds present in many plant foods. They are characterized by their ability to lyse cell membranes due to their surface-active properties. Saponins are believed to interact primarily with cholesterol in the cell membrane. In this study, the interaction of soybean(SS) with cell membrane was investigated using erythrocytes as a model. Mechanisms of interaction was also investigated by measuring their binding capacity with different membrane lipid fractions. Throughout the study, gypsophilla saponin(GS) and quillaja saponin(QS) were used to evaluate the membranolytic activity of soybean saponins. All saponins released hemoglobin in a concentration-dependent manner. SS induced 40% hemolysis at the concentration of 400 ppm, however there was no increase in hemoglobin release above 400ppm concentration. 5ppm of GS and 8 ppm of QS hemolyzed 100% of erythrocytes. Isolation of SS fractions by thin layer chromatography revealed that only one non-polar saponin possesses strong hemolytic activity. When saponins were incubated decreased the release of cholesterol. When the hemolytic activity of saponins was measured in the presence of other major membrane lipid components, sphingomyelin significantly reduced the hemolytic activity of SS, while cholesterol reduced the activity of QS. GS showed high affinity to other component(s) in the incubation media as well as lipids. These results suggest that the membranolytic activity of saponins are related to their specific chemical structure, which determines the interaction behavior between saponins and different membrane components, and thereby influence the biological activity.