• Journal of Gastric Cancer
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• v.24 no.4
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• pp.420-435
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• 2024

Purpose: This study aimed to develop and assess the feasibility and effectiveness of digital therapeutics for supportive care after gastrectomy. Materials and Method: The study included 39 patients with gastric cancer who underwent minimally invasive gastrectomy and were able to use a mobile application (app) on their smartphones. The developed research app automatically calculates and provides daily targets for calorie and protein intake based on the patient's body mass index (BMI). Patients recorded their daily diets, weights, and symptoms in the app and completed special questionnaires to assess the feasibility of the app in real-world clinical practice. Results: At the 10-week follow-up, the mean questionnaire scores for ease of learning, usability, and effectiveness of the app (primary endpoint) were 2.32±0.41, 2.35±0.43, and 2.4±0.39 (range: 0-3), respectively. Patients were classified as underweight (<18.5, n=4), normal (18.5-24.9, n=24), or overweight (≥25.0, n=11) according to predischarge BMI. Underweight patients showed higher compliance with app usage and a higher rate of achieving the target calorie and protein intake than normal weight and overweight patients (98% vs. 77% vs. 81%, p=0.0313; 102% vs. 75% vs. 61%, P=0.0111; 106% vs. 79% vs. 64%, P=0.0429). Two patients transitioned from underweight to normal weight (50.0%), one patient (4.3%) transitioned from normal weight to underweight, and two patients (22.2%) transitioned from overweight to normal weight. Conclusions: The mobile app is feasible and useful for postoperative supportive care in terms of ease of learning, usability, and effectiveness. Digital therapeutics may be an effective way to provide supportive care for postgastrectomy patients, particularly in terms of nutrition.

• Science of Emotion and Sensibility
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• v.27 no.2
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• pp.25-36
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• 2024

Past research reported mixed results on the effects of social exclusion on prosocial behavior. Whereas some studies reported an increase in prosocial motivation and behavior, others proposed that social exclusion causes a decrease in prosocial behavior along with negative reactions such as anger and aggression. These conflicting results may have arisen because prosocial behavior does not in itself always produce social reconnection. That is, although prosocial behavior is a major means of promoting social relationships, the excluded person does not need to act prosocially to benefit others unless the behavior leads to the restoration of the relationship. Unlike past research that assumed dichotomous situations of exclusion or belonging, the present research tested prosocial behavior in a social exclusion risk situation where the possibility of reconnection exists. In addition, we used the ability to potentially contribute to the group as another independent variable. We used a simulation game titled "Becoming a Union Member" to manipulate each participant's social exclusion risk and ability. Participants responded to a simple survey named member personality test and gave preliminary votes to one another, and exclusion risk was manipulated by the number of votes received. Later, ability was manipulated by disclosing perception test scores in the named member ability test. In both Experiments 1 and 2, participants who scored high in terms of social exclusion risk and low in the ability to potentially contribute showed prosocial behavior in stipulating larger donations. These results demonstrate that probable social reconnection defined by exclusion risk and ability is the key to explaining prosocial behavior following social exclusion.

• Journal of Family Resource Management and Policy Review
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• v.28 no.2
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• pp.51-63
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• 2024

This study aimed to identify the factors influencing the intentions of employed married women, aged 19 and above, with no prior experience of childbirth, to give birth to their first child. First, the intention of employed married women to give birth to their first child showed a moderate level of inclination, with slightly higher scores reflected in the subvariables of perceived marital value and perceived child value both within family values, while the effect of perceived gender role value was generally higher than the midpoint. Perception of work-life balance was generally a moderate influence, with the subvariable of balancing work and family being slightly higher than the midpoint in terms of influence. Second, the intention to give birth to a first child was clearly associated with the level of education and showed a positive correlation. However, this intention was negatively correlated with age, perceived child values, perceived marital values, and residential tenure. Third, pregnancy intention was influenced by age, educational level, perceived value of children, perceived value of marrriage, and work-life balance. This study provides meaningful assistance in understanding current low birth rate by gathering data on the preferences of married working women in relation to childbirth and by presenting the diverse perspectives of the women.

• The Journal of the Acoustical Society of Korea
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• v.43 no.4
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• pp.422-435
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• 2024

This study intended to verify the effects of face masks on the Korean language in terms of acoustic, aerodynamic, and formant parameters. We chose all types of face masks available in Korea based on filter performance and folding type. Two professional voice actors (a male and a female) with more than 20 years of experience who are native Koreans and speak standard Korean participated in this study as speakers of voice data. Face masks attenuated the high-frequency range, resulting in decreased Vowel Space Area (VSA) and Vowel Articulation Index (VAI)scores and an increased Low-to-High spectral ratio (L/H ratio) in all voice samples. This can result in lower speech intelligibility. However, the degree of increment and decrement was based on the voice characteristics. For female speakers, the Speech Level (SL) and Cepstral Peak Prominence (CPP) increased with increasing face mask thickness. In this study, the presence or filter performance of a face mask was found to affect speech acoustic parameters according to the speech characteristics. Face masks provoked vocal effort when the vocal intensity was not sufficiently strong, or the environment had less reverberance. Further research needs to be conducted on the vocal efforts induced by face masks to overcome acoustic modifications when wearing masks.

• Atmosphere
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• v.34 no.3
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• pp.305-317
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• 2024

The study examines the effects of parameters that define the characteristics of raindrops on the simulated precipitation during the summer season over Korea using the Weather Research and Forecasting (WRF) Double-Moment 6-class (WDM6) cloud microphysics scheme. Prescribed parameters, defining the characteristics of hydrometeors in the WDM6 scheme such as a_R, b_R, and f_R in the fall velocity (V_R) - diameter (D_R) relationship and shape parameter (𝜇_R) in the number concentration (N_R) - D_R relationship, presents different values compared to the observed data from Two-Dimensional Video Disdrometer (2DVD) at Boseong standard meteorological observatory during 2018~2019. Three experiments were designed for the heavy rainfall event on August 8, 2022 using WRF version 4.3. These include the control (CNTL) experiment with original parameters in the WDM6 scheme; the MUR experiment, adopting the 50th percentile observation value for 𝜇_R; and the MEDI experiment, which uses the same 𝜇_R as MUR, but also includes fitted values for a_R, b_R, and f_R from the 50th percentile of the observed V_R - D_R relationship. Both sensitivity experiments show improved precipitation simulation compared to the CNTL by reducing the bias and increasing the probability of detection and equitable threat scores. In these experiments, the raindrop mixing ratio increases and its number concentration decreases in the lower atmosphere. The microphysics budget analysis shows that the increase in the rain mixing ratio is due to enhanced source processes such as graupel melting, vapor condensation, and accretion between cloud water and rain. Our study also emphasizes that applying the solely observed 𝜇_R produces more positive impact in the precipitation simulation.

• Korean Journal of Cognitive Science
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• v.35 no.3
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• pp.187-203
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• 2024

Evaluation activities are beneficial for learning or training. However, they are not actively used due to concerns about the evaluation accuracy of non-experts. Although there are methods to improve accuracy, there is a limitation that additional procedures or processes are required in addition to evaluation. In this study, we aimed to improve evaluation accuracy of non-expert by using common evaluation items and assigning weights based on differences from expert scores. In Study 1, we conducted a simulation with 50 non-experts evaluating essays. Our findings indicate that when non-experts' evaluation methods are different from those of experts, our proposed method using a single common evaluation item improves assessment accuracy. In Study 2, we analyzed data from experimental situation in which non-expert evaluated each other's essays. Consistent with Study 1, our proposed method effectively improved assessment accuracy when non-experts' evaluation methods differed from those of experts. In the discussion section, we addressed the applicability of the method proposed in this study in real world settings.

• Journal of Nutrition and Health
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• v.57 no.4
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• pp.435-450
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• 2024

Purpose: This study developed the evaluation components and criteria for the Korean Healthy Diet (KHD) and assessed the current compliance of Koreans. Methods: The study reviewed domestic and international dietary guidelines and literature and conducted an online survey of 514 Korean adults to understand their nutritional perceptions, specifically the perceived importance of health and incorporation into usual diet. Data from the Korea National Health and Nutrition Examination Survey (KNHANES) were used to investigate food and nutrient intake patterns and examine the relationship between intake and metabolic syndrome (MetS). Based on these data, the components and criteria for a KHD were established by sex and age, and adherence was assessed. Results: The KHD evaluation included 13 dietary components: carbohydrates, sugar, fiber, protein, total fat, saturated fat, sodium, calcium, mixed grains, meat·fish·eggs·beans, vegetables, fruits, and dairy products. Applying the selected components and criteria to data from the KNHANES (2019-2021), the average KHD adherence score for Korean adults was 5.465 ± 0.023 out of a maximum score of 13. The score significantly increased with age (4.766 ± 0.044 for 19-29 years; 5.276±0.032 for 30-49 years; 6.109 ± 0.033 for 50-64 years), and women (5.642 ± 0.028) had higher scores than men (5.284 ± 0.030) (p < 0.05). Furthermore, the total score significantly differed between those with MetS (5.518 ± 0.045) and those without (5.568 ± 0.026) after adjusted for sex and age (p < 0.05). When scoring the dietary components, sugar (0.852 ± 0.004) and proteins (0.881 ± 0.004) scored relatively higher in the association with MetS, whereas calcium (0.148 ± 0.004) and mixed grains (0.225 ± 0.005) scored relatively lower. Conclusions: The KHD evaluation criteria could be used as a tool for screening and monitoring the overall diet quality of Koreans.

• Journal of Bio-Environment Control
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• v.33 no.2
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• pp.120-128
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• 2024

Since ChatGPT was released in 2022, the generative artificial intelligence (AI) industry has seen massive growth and is expected to bring significant innovations to cognitive tasks. AI-based image generation, in particular, is leading major changes in the digital world. This study investigates the technical foundations of Midjourney, Stable Diffusion, and Firefly-three notable AI image generation tools-and compares their effectiveness by examining the images they produce. The results show that these AI tools can generate realistic images of tomatoes, strawberries, paprikas, and cucumbers, typical crops grown in greenhouse. Especially, Firefly stood out for its ability to produce very realistic images of greenhouse-grown crops. However, all tools struggled to fully capture the environmental context of greenhouses where these crops grow. The process of refining prompts and using reference images has proven effective in accurately generating images of strawberry fruits and their cultivation systems. In the case of generating cucumber images, the AI tools produced images very close to real ones, with no significant differences found in their evaluation scores. This study demonstrates how AI-based image generation technology can be applied in agriculture, suggesting a bright future for its use in this field.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.565-574
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• 2024

The purpose of this study was to investigate the impact of nursing college students' empathy and communication ability on college life adaptation. The study targeted 177 nursing students from two university in G city. Data collection was conducted from May 16 to June 9, 2023. Data analysis utilized SPSS 25.0, including frequency analysis, mean and standard deviation calculations, independent t-tests, one-way analysis of variance (ANOVA), and post-hoc analysis using Scheffé's test. Results: The mean scores of empathy was 2.49(SD=0.54), communication ability were 3.24(SD=0.67), and college life adaptation was 3.83(SD=0.55). There were significantly positive correlations between college life adaptation and empathy(r=.348, p< .001), communication ability(r= .351, p< .001), Factors affecting participants' college life adaptation were empathy(𝛽= .240, p= .002), and communication ability(𝛽= .246, p= .002), which explained about 16.0% of the college life adaptation. Based on these findings, it is believed that it is necessary to develop curricular and extracurricular programs and find ways to efficiently utilize them to empathy and good communication skills in nursing students.

• Journal of the Health Care and Life Science
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• v.11 no.2
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• pp.207-217
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• 2023

The purpose of this study was to investigate COVID-19 Knowledge, Risk Perception, Anxiety and Preventive Behaviors, and to identify the influencing factors on Preventive Behaviors of nursing students. Data were collected using questionnaires from 342 nursing students in Gwangju, November 2021. The collected data was analyzed by descriptive statistics, pearson's correlation coefficient and stepwise multiple regression using IBM SPSS 21.0 program. The total mean scores were as follows: COVID-19 Knowledge, 13.25±1.38; Risk Perception; 4.57±1.34, Anxiety; 44.55±9.66, Preventive Behaviors; 7.66±1.55. Preventive Behaviors was found to have significant positive correlations with COVID-19 Knowledge and Risk Perception). The most influential factors influencing the Preventive Behaviors of nursing students were Experience in education related COVID-19 prevention, Risk Perception, COVID-19 Knowledge. In conclusion, in order to develop the Preventive Behaviors of nursing students, it is necessary to apply a program that improve the COVID-19 prevention education and Knowledge, and to control Risk Perception according to the individual level.