Journal of the Korean Regional Science Association
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v.38
no.4
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pp.75-91
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2022
With the recent increase in interest in climate change issues, the use of bicycles is complementing public transportation and attracting attention as one of the eco-friendly means of transportation. Daejeon Metropolitan City has been operating Tashu, a public bicycle, since 2008. This study empirically analyzed the spatial characteristics that affect the use of public bicycles by grasping the current status and characteristics of public bicycles and applying spatial econometrics analysis, an analysis model that considers the spatial dependence of spatial data. In addition, a comparative analysis was performed by deriving the results of analyzing six models in terms of rental, return, peak time, non-peak time, weekday, and weekend based on the spatial error model identified as the optimal spatial econometrics model. The analysis model results showed that significant spatial characteristics differed according to the type of public bicycle use. In general, the use of public bicycles was high in areas with a high proportion of young people, a high number of public transportation users, good access to universities and rivers, and relatively low land use mix, and high proportion of apartments. These results indicated that public bicycles are used for commuting purposes on weekdays and leisure purposes on weekends, and if the convenience of using bicycles is improved, the use of public bicycles can be further increased.
Purpose: This study aimed to identify prognostic factors for patients with distant lymph node-involved gastric cancer (GC) using a machine learning algorithm, a method that offers considerable advantages and new prospects for high-dimensional biomedical data exploration. Materials and Methods: This study employed 79 features of clinical pathology, laboratory tests, and therapeutic details from 289 GC patients whose distant lymphadenopathy was presented as the first episode of recurrence or metastasis. Outcomes were measured as any-cause death events and survival months after distant lymph node metastasis. A prediction model was built based on possible outcome predictors using a random survival forest algorithm and confirmed by 5×5 nested cross-validation. The effects of single variables were interpreted using partial dependence plots. A contour plot was used to visually represent survival prediction based on 2 predictive features. Results: The median survival time of patients with GC with distant nodal metastasis was 9.2 months. The optimal model incorporated the prealbumin level and the prothrombin time (PT), and yielded a prediction error of 0.353. The inclusion of other variables resulted in poorer model performance. Patients with higher serum prealbumin levels or shorter PTs had a significantly better prognosis. The predicted one-year survival rate was stratified and illustrated as a contour plot based on the combined effect the prealbumin level and the PT. Conclusions: Machine learning is useful for identifying the important determinants of cancer survival using high-dimensional datasets. The prealbumin level and the PT on distant lymph node metastasis are the 2 most crucial factors in predicting the subsequent survival time of advanced GC.
This study was motivated by the awareness that little attention has been paid to this issue both theoretically and empirically, despite the fact that financial abuse causes serious problems which are difficult for the elderly to recover from. This study intends to explore what the patterns of financial abuse targeting the elderly are, what causes and sustains these abuses, and what makes it difficult to counter such financial abuses. Data analysis was based on individual and group interviews of ten professionals expected to encounter the most financially abused elderly in social welfare institutions. The thematic analysis shows that financial abuse is often caused and maintained in a trusting relationship through care and protection. Because financial abuse was inflicted on the vulnerable elderly in a state of reinforced psychological dependence based on a long and trusting relationship, it appears that it has been made with tacit acknowledgement and consent. Despite those complex dynamics, it is noted that financial abuse can be judged as such only when the elderly claim to suffer from harm. Rather, intervention without victims' acknowledgement tends to be perceived as violating their right to self-determination. This reality naturally leads to the termination of the necessary interventions with the victims in an abusive situation. Based on these results, discussion focused on more realistic and diverse approaches to the issue of financial abuse of older adults.
Proceedings of the Materials Research Society of Korea Conference
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2003.03a
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pp.81-81
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2003
The stochiometric mixture of evaporating materials for the CuGaSe$_2$ single crystal thin films were prepared from horizontal furnace. Using extrapolation method of X-ray diffraction patterns for the polycrystal CuGaSe$_2$, it was found tetragonal structure whose lattice constant no and co were 5.615$\AA$ and 11.025$\AA$, respectively. To obtains the single crystal thin films, CuGaSe$_2$ mixed crystal was deposited on throughly etched GaAs(100) by the Hot Wall Epitaxy(HWE) system. The source and substrate temperature were 61$0^{\circ}C$ and 45$0^{\circ}C$ respectively, and the growth rate of the single crystal thin films was about 0.5${\mu}{\textrm}{m}$/h. The crystalline structure of single crystal thin films was investigated by the double crystal X-ray diffraction(DCXD). Hall effect on this sample was measured by the method of van der pauw and studied on carrier density and mobility depending on temperature. From Hall data, the mobility was likely to be decreased by pizoelectric scattering in the temperature range 30K to 150K and by polar optical scattering in the temperature range 150K to 293K. The optical energy gaps were found to be 1.68eV for CuGaSe$_2$ single crystal thin films at room temperature. The temperature dependence of the photocurrent peak energy is well explained by the Varshni equation then the constants in the Varshni equation are given by a=9.615$\times$ 10$^{-4}$ eV/K, and $\beta$=335K. From the photocurrent spectra by illumination of polarized light of the CuGaSe$_2$ single crystal thin films. We have found that values of spin orbit coupling ΔSo and crystal field splitting ΔCr was 0.0900eV and 0.2498eV, respectively. From the PL spectra at 20K, the peaks corresponding to free bound excitons and D-A pair and a broad emission band due to SA is identified. The binding energy of the free excitons are determined to be 0.0626eV and the dissipation energy of the acceptor-bound exciton and donor-bound exciton to be 0.0352eV, 0.0932eV, respectively.
This study analyzed the risk spillover of BDI on shipping company stock prices through the Copula-CoVaR method based on daily data from January 4, 2010, to October 31, 2022. The main empirical analysis results and policy implications are as follows. First, copula results showed that there was a weak dependence between BDI and shipping company stock prices, and PAN, KOR, and YEN were selected as the most fitting model for dynamic Student-t copula, HMM was selected as the rotated Gumbel copula, and KSS was selected as the best model. Second, in the results of CoVaR, it was confirmed that the upside (downside) CoVaR was significantly different from the upside (downside) VaR in all shipping companies. This means that BDI has a significant risk spillover on shipping companies. In addition, as for the risk spillover, the downside risk is generally lower than the upside risk, so the downside and upside risk spillover were found to be asymmetrical. Therefore, policymakers should strengthen external risk supervision and establish differentiated policies suitable for domestic conditions to prevent systematic risks from BDI shocks. And investors should reflect external risks from BDI fluctuations in their investment decisions and construct optimal investment portfolios to avoid risks. On the other hand, investors propose that the investment portfolio should be adjusted in consideration of the asymmetric characteristics of up and down risks when making investment decisions.
The purpose of this study was to investigate families' responses and attitudes and the experiences of Korean LGBT individuals after revealing their sexual identity and sexual orientation and to determine how families' attitudes affected the mental health of these individuals. For this purpose, in-depth interviews were performed with 12 male and female LGBT participants, ranging from 19-30 years of age, who resided in Seoul and metropolitan areas, and reported coming out to or being outed by their families. One-to-one interviews were carried out using semi-structured questions, and the data from the interviews were analyzed using consensual qualitative research (CQR). Most of the families had very negative responses and attitudes to the participants coming out and exhibited rejection or avoidant attitudes; only a few of the families responded with receptive attitudes. As a result, the LGBT participants reacted with friction and coping behaviors, such as persuasion, participation in professional counseling, abandonment or avoidance, and running away from home. Most of the effects of the families' attitudes on the participants were negative psychological effects, such as anger, sadness, a sense of alienation, depression, anxiety, fear, trauma, helplessness, lowered self-esteem, alcohol dependence, and suicidal ideation and attempt, while receptive attitudes provided a sense of stability. For all participants, they reported that they were more likely to be hurt by their families' negative attitudes than by social attitudes. This study is significant because it provides framework for specifying families' attitudes and LGBT individuals' experiences after coming out in Korean society. It also outlines LGBT individuals' coping behaviors, psychological difficulties, and the process of coming out and provides suggestions for individuals to overcome. The results are expected to help counselors create practical strategies to better understand LGBT individuals and the psychological difficulties they may experience and provide proper interventions while counseling both the individual and the family.
KSCE Journal of Civil and Environmental Engineering Research
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v.43
no.5
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pp.667-674
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2023
In the event of a disaster occurring within a building, the prompt and efficient evacuation and rescue of occupants within the building becomes the foremost priority to minimize casualties. For the purpose of such rescue operations, it is essential to ascertain the distribution of individuals within the building. Nevertheless, there is a primary dependence on accounts provided by pertinent individuals like building proprietors or security staff, alongside fundamental data encompassing floor dimensions and maximum capacity. Consequently, accurate determination of the number of occupants within the building holds paramount significance in reducing uncertainties at the site and facilitating effective rescue activities during the golden hour. This research introduces a methodology employing computer vision algorithms to count the number of occupants within distinct building locations based on images captured by installed multiple CCTV cameras. The counting methodology consists of three stages: (1) establishing virtual Lines of Interest (LOI) for each camera to construct a multi-camera network environment, (2) detecting and tracking people within the monitoring area using deep learning, and (3) aggregating counts across the multi-camera network. The proposed methodology was validated through experiments conducted in a five-story building with the average accurary of 89.9% and the average MAE of 0.178 and RMSE of 0.339, and the advantages of using multiple cameras for occupant counting were explained. This paper showed the potential of the proposed methodology for more effective and timely disaster management through common surveillance systems by providing prompt occupancy information.
The Journal of the Convergence on Culture Technology
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v.10
no.1
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pp.11-18
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2024
The purpose of this study was to investigate the effects of an animal-mediated therapy program on children with developmental disabilities on social skills related to social-emotional development and learning, which are important in modern society. The subjects of the study were children with developmental disabilities at a special school, and the animal-mediated therapy program consisted of 12 sessions. The study was divided into experimental and control groups and conducted pre- and post-test by measurement items. SPSS 25.0 was used to analyze the data. First, children with developmental disabilities in the experimental group who participated in the animal-mediated therapy program showed a significant difference (z=-2.20, p<.05) in the overall social-emotional development compared to the control group, and statistically significant values were found in the subfactors of non-dependence on teachers, interaction with peers, and achievement motivation. Second, the experimental group who received animal-mediated therapy showed a significant effect (z=-2.20, p<.05) in all factors of learning-related social skills. In conclusion, animal-mediated therapy was found to have a positive effect on the social-emotional development and learning-related social skills of children with developmental disabilities. Based on the results of this study, it is recommended that more specific and systematic programs should be developed and applied to enhance the social-emotional development and learning-related social skills of children with developmental disabilities for a healthy life.
Journal of the Korean Regional Science Association
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v.40
no.1
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pp.3-17
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2024
Despite extensive discussions on the repercussions of the prolonged COVID-19 pandemic, there is a lack of analysis on the relationships and changes in relationships between business districts Therefore, this study aims to understand the impact of COVID-19 on retail business districts in Seoul by considering the geographical dependency and interactions of these districts. Using data from the fourth quarters of 2019 to 2021 for 1,490 retail business districts in Seoul, we employed the 3-Stage Least Squares (3SLS) estimation method for simultaneous equation modeling to empirically examine how spatial dependencies among retail business districts in Seoul have evolved due to the influence of COVID-19. The results indicate the existence of spatial dependence among retail business districts in Seoul, with developmental districts exerting a negative influence on nearby districts. Furthermore, the analysis reveals changes in dependency patterns after the onset of COVID-19, interpreted as a decrease in commercial activities in developmental districts due to the impact of the pandemic. The significance of this study lies in providing new insights into Seoul's retail business districts through a spatially dependent analysis, offering a foundation for various stakeholders, including government, local authorities, and small business owners, to respond appropriately to changes in business districts by considering their interrelationships.
Marina V. Pozovnikova;Viktoria B. Leibova;Olga V. Tulinova;Elena A. Romanova;Artem P. Dysin;Natalia V. Dementieva;Anastasiia I. Azovtseva;Sergey E. Sedykh
Animal Bioscience
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v.37
no.6
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pp.965-981
/
2024
Objective: Milk composition varies considerably and depends on paratypical, genetic, and epigenetic factors. MiRNAs belong to the class of small non-coding RNAs; they are one of the key tools of epigenetic control because of their ability to regulate gene expression at the post-transcriptional level. We compared the relative expression levels of miR-106b, miR-191, and miR-30d in milk to demonstrate the relationship between the content of these miRNAs with protein and fat components of milk in Holstein and Ayrshire cattle. Methods: Milk fat, protein, and casein contents were determined in the obtained samples, as well as the content of the main fatty acids (g/100 g milk), including: saturated acids, such as myristic (C14:0), palmitic (C16:0), and stearic (C18:0) acids; monounsaturated acids, including oleic (C18:1) acid; as well as long-, medium- and short-chain, polyunsaturated, and trans fatty acids. Real-time stem-loop one-tube reverse transcription polymerase chain reaction with TaqMan probes was used to measure the miRNA expression levels. Results: The miRNA expression levels in milk samples were found to be decreased in the first two months in Holstein breed, and in the first four months in Ayrshire breed. Correlation analysis did not reveal any dependence between changes in the expression level of miRNA and milk fat content, but showed a multidirectional relationship with individual milk fatty acids. Positive associations between the expression levels of miR-106b and miR-30d and protein and casein content were found in the Ayrshire breed. Receiver operating characteristic curve analysis showed that miR-106b and miR-30d expression levels can cause changes in fatty acid and protein composition of milk in Ayrshire cows, whereas miR-106b expression level determines the fatty acid composition in Holsteins. Conclusion: The data obtained in this study showed that miR-106b, miR-191, and miR-30d expression levels in milk samples have peculiarities associated with breed affiliation and the lactation period.
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