• Korean Journal of Environment and Ecology
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• v.37 no.6
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• pp.418-428
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• 2023

This study was conducted to clarify the daily activity patterns overlap between hikers and mammals from 2015 to 2019 in the Baekdudaegan protected area. To investigate relationship behaviors between hikers and mammals, we set the camera traps on the ridge of the Baekdudaegan protected area. Daily activity patterns of yellow-throated marten (Martes flavigula) and Siberian chipmunk (Eutamias sibiricus) were highly overlapped with hiker total study periods. Moreover, daily activity patterns of Siberian roe deer (Caperohus pygargus) and water deer (Hydropotes inermis) were highly overlapped with hikers only in spring. In winter, daily activity patterns of wild boar (Sus scrofa) were overlapped with hikers. However, leopard cat (Prionailurus bengalensis), raccoon dog (Nyctereutes procyonoides), and Eurasian badger (Meles leucurus) did not significantly overlap with hikers during the study periods. The daily activity patterns of 8 mammals differed by species-specific behavior and temporal characteristics. Overlap of daily activity patterns between mammals and hikers were differed in each season. Differences in daily activity pattern overlap between mammals and humans may lead to differences in human impact on mammal populations. Information on the interaction between hikers and mammals on species-specific and temporal-specific behavior could be basic ecological data for management and conservation of mammal populations and their habitats.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.57-67
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• 2024

This paper explores the potential of electromyography (EMG) as a means of gesture recognition for user input in gesture-based interaction. EMG utilizes small electrodes within muscles to detect and interpret user movements, presenting a viable input method. To classify user gestures based on EMG data, machine learning techniques are employed, necessitating the preprocessing of raw EMG data to extract relevant features. EMG characteristics can be expressed through formulas such as Integrated EMG (IEMG), Mean Absolute Value (MAV), Simple Square Integral (SSI), Variance (VAR), and Root Mean Square (RMS). Additionally, determining the suitable time for gesture classification is crucial, considering the perceptual, cognitive, and response times required for user input. To address this, segment sizes ranging from a minimum of 100ms to a maximum of 1,000ms are varied, and feature extraction is performed to identify the optimal segment size for gesture classification. Notably, data learning employs overlapped segmentation to reduce the interval between data points, thereby increasing the quantity of training data. Using this approach, the paper employs four machine learning models (KNN, SVC, RF, XGBoost) to train and evaluate the system, achieving accuracy rates exceeding 96% for all models in real-time gesture input scenarios with a maximum segment size of 200ms.

• Applied Chemistry for Engineering
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• v.35 no.1
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• pp.23-28
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• 2024

Cesium is a potential toxic contaminant due to its high solubility, which allows it to easily penetrate the human body and potentially induce cancer or DNA mutations. In this study, oxygen functional groups were introduced on activated carbons (ACs) by ozone treatment to enhance the cesium adsorption capacity. As the ozone treatment time increased, the oxygen content on the ACs surface increased. Subsequently, the electrostatic interaction between ACs and cesium enhanced, resulting in higher cesium ion adsorption efficiency across all samples. In particular, the sample treated with ozone for 7 minutes at an internal ozone concentration of 50000 ppm had roughly 12% greater oxygen functional group content and the highest cesium removal effectiveness (97.6%). Meanwhile, samples treated for 5 minutes showed a 0.3% cesium removal rate difference compared to those treated for 7 minutes, which was caused by the surface chemical similarity of the two samples due to the reactive characteristics of ozone gas. However, the cesium adsorption performance of ozonated activated carbon seems to be mainly influenced by the amount of oxygen functional groups introduced to the surface, although the specific surface area and pore structure of the activated carbon are also important.

• Animal Bioscience
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• v.37 no.7
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• pp.1213-1224
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• 2024

Objective: Enterotypes (ETs) are the clustering of gut microbial community structures, which could serve as indicators of growth performance and carcass traits. However, ETs have been sparsely investigated in waterfowl. The objective of this study was to identify the ileal ETs and explore the correlation of the ETs with growth performance and carcass traits in Muscovy ducks. Methods: A total of 200 Muscovy ducks were randomly selected from a population of 5,000 ducks at 70-day old, weighed and slaughtered. The growth performance and carcass traits, including body weight, dressed weight and evidenced weight, dressed percentage, percentage of apparent yield, breast muscle weight, leg muscle weight, percentage of leg muscle and percentage of breast muscle, were determined. The contents of ileum were collected for the isolation of DNA and 16S rRNA gene sequencing. The ETs were identified based on the 16S rRNA gene sequencing data and the correlation of the ETs with growth performance and carcass traits was performed by Spearman correlation analysis. Results: Three ETs (ET1, ET2, and ET3) were observed in the ileal microbiota of Muscovy ducks with significant differences in number of features and α-diversity among these ETs (p<0.05). Streptococcus, Candida Arthritis, and Bacteroidetes were the presentative genus in ET1 to ET3, respectively. Correlation analysis revealed that Lactococcus and Bradyrhizobium were significantly correlated with percentage of eviscerated yield and leg muscle weight (p<0.05) while ETs were found to have a close association with percentage of eviscerated yield, leg muscle weight, and percentage of leg muscle in Muscovy ducks. However, the growth performance of ducks with different ETs did not show significant difference (p>0.05). Lactococcus were found to be significantly correlated with leg muscle weight, dressed weight, and percentage of eviscerated yield. Conclusion: Our findings revealed a substantial variation in carcass traits associated with ETs in Muscovy ducks. It is implied that ETs might have the potential to serve as a valuable biomarker for assessing duck carcass traits. It would provide novel insights into the interaction of gut microbiota with growth performance and carcass traits of ducks.

• Sim-seong Yeon-gu
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• v.38 no.2
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• pp.239-268
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• 2023

Humanity has faced destruction(chaos) due to catastrophes (Covid-19, war, earthquake) and awaits a new restoration. For civilizations and individuals, creation or creativity is essential to psychic development. Creativity is the driving force that renews an individual when a new stance and attitude of consciousness or a new adaptation to reality is desperately needed in the depth of the human mind. This article is the result of an exploration of the nature and characteristics of creativity presented by a series of four dreams. First, the definition and form of creativity were explored in the context of religion, mythology, and history of Eastern and Western. While Western mythology refers to creation or creativity originating from God, ancient China viewed creativity as expressed through the interaction of yin and yang, the movement of Tao. In East and West, the form of creation is divided into creation from nothing, creation from matter, and creation through dissolution from the matrix, which psychologically suggests that creativity or creation originates from the unconscious, the seedbed of infinite potential and creative power. Next, with insights from the second dream, the characteristics of creativity were discussed. Creativity occurs through transcendent function and 'going beyond the frame of reference,' that is, 'transgressivity.' Third, the nature of creativity was explored as the creativity of the unconscious aims for regeneration and drives the renewal of Self archetypal images within the collective and individuals. Ultimately, the creativity of the unconscious is the goal of the whole psyche and aims for individuation to become the whole. Realizing the creativity of the unconscious is the fate of humans as the second creator.

• Animal Bioscience
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• v.37 no.1
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• pp.28-38
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• 2024

Objective: Tibetan chickens, which have unique adaptations to extreme high-altitude environments, exhibit phenotypic and physiological characteristics that are distinct from those of lowland chickens. However, the mechanisms underlying hypoxic adaptation in the liver of chickens remain unknown. Methods: RNA-sequencing (RNA-Seq) technology was used to assess the differentially expressed genes (DEGs) involved in hypoxia adaptation in highland chickens (native Tibetan chicken [HT]) and lowland chickens (Langshan chicken [LS], Beijing You chicken [BJ], Qingyuan Partridge chicken [QY], and Chahua chicken [CH]). Results: A total of 352 co-DEGs were specifically screened between HT and four native lowland chicken breeds. Gene ontology and Kyoto encyclopedia of genes and genomes enrichment analyses indicated that these co-DEGs were widely involved in lipid metabolism processes, such as the peroxisome proliferator-activated receptors (PPAR) signaling pathway, fatty acid degradation, fatty acid metabolism and fatty acid biosynthesis. To further determine the relationship from the 352 co-DEGs, protein-protein interaction network was carried out and identified eight genes (ACSL1, CPT1A, ACOX1, PPARC1A, SCD, ACSBG2, ACACA, and FASN) as the potential regulating genes that are responsible for the altitude difference between the HT and other four lowland chicken breeds. Conclusion: This study provides novel insights into the molecular mechanisms regulating hypoxia adaptation via lipid metabolism in Tibetan chickens and other highland animals.

• Knowledge Management Research
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• v.25 no.1
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• pp.155-172
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• 2024

This study investigates the effectiveness of foreign language learning through diverse treatments in virtual settings, particularly by differentiating virtual environments with three textual enhancement techniques. A 2 × 3 mixed-factorial design was used, treating virtual environments as within-subject factors and textual enhancement techniques as between-subject factors. Participants experienced two videos, each in different virtual learning environments with one of the random textual enhancement techniques. The results showed that the interaction between different virtual environments and textual enhancement techniques had a statistically significant impact on presence among groups. In examining main effects of virtual environments, significant differences were observed in flow and attitude toward pre-post learning. Also, main effects of textual enhancements notably influenced flow, intention to use, learning satisfaction, and learning confidence. This study highlights the potential of Metaverse in foreign language learning, suggesting that learner experiences and effects vary with different virtual environments.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.419-425
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• 2024

As digital communication gains prominence, there is an increasing trend in uncivil behaviors like rude or hateful comments and the empathetic actions towards them, highlighting the need for social efforts to address these issues. As part of these endeavors, we investigated how avatar feedback in a virtual news portal affects users' empathy towards uncivil comments. We defined both posting and empathizing with uncivil comments as antisocial actions. To this end, we posted socially controversial news in a virtual space and provided feedback in two forms when participants selected uncivil comments: text-only feedback and feedback accompanied by an avatar. We then assessed the impact of this feedback on behavioral conformity, guilt, and self-image concern through surveys. Our results showed that avatar-provided feedback significantly influenced participants' social responses more than text-based feedback. Interaction with avatars notably increased participants' behavioral conformity, guilt, and self-image concern. We concluded that avatar-based interactions can positively influence users' social behaviors and attitudes, suggesting their potential in fostering a more civil and responsible digital communication culture.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.165-172
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• 2024

This study illuminates the relationship between childhood abuse experiences and early maladaptive schemas, and compares the moderating effects of expressive suppression and cognitive reappraisal within this relationship. Conducting a self-report survey among 220 graduate students in Daejeon and Chungcheong regions, data from 210 participants were analyzed. The results notably revealed that the interaction effect of suppression, but not cognitive reappraisal, significantly moderates the relationship between childhood abuse experiences and disconnection/rejection schemas. Specifically, high levels of expressive suppression were associated with a decrease in the negative impact of childhood abuse on disconnection/rejection schemas, whereas low levels of suppression increased this negative impact. This suggests that for individuals with long-standing early maladaptive schemas, which have solidified over time akin to personality traits, cognitive reappraisal strategies may be less effective in inducing change. Conversely, expressive suppression strategies may more effectively reduce the intensity of disconnection/rejection schemas, among other early maladaptive schemas. These findings provide important implications for understanding the long-term effects of childhood abuse and developing intervention strategies to mitigate its resultant maladaptive schemas. Based on the outcomes of this study, suggestions for future research are discussed, along with the potential applicability and limitations of suppression and reappraisal strategies in psychological interventions.

• Journal of the Korea Computer Graphics Society
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• v.30 no.3
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• pp.189-198
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• 2024

Research combining deep learning-based models and physical simulations is making important advances in the medical field. This extracts the necessary information from medical image data and enables fast and accurate prediction of deformation of the skeleton and soft tissue based on physical laws. This study proposes a system that integrates Neural Radiance Fields (NeRF), Position-Based Dynamics (PBD), and Parallel Resampling to generate 3D volume data, and deform and visualize them in real-time. NeRF uses 2D images and camera coordinates to produce high-resolution 3D volume data, while PBD enables real-time deformation and interaction through physics-based simulation. Parallel Resampling improves rendering efficiency by dividing the volume into tetrahedral meshes and utilizing GPU parallel processing. This system renders the deformed volume data using ray casting, leveraging GPU parallel processing for fast real-time visualization. Experimental results show that this system can generate and deform 3D data without expensive equipment, demonstrating potential applications in engineering, education, and medicine.