• Korean Journal of Poultry Science
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• v.15 no.4
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• pp.269-275
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• 1988

The effect of mold inhibitor was determined in the commercial rations which had two different protein levels(18% and 12% ) and two different particle sizes(80% of the particles in the ration less than 1.19mm and 40% of the particles in the ration less than 1.1mm). After 40 days storage of the rations treated and not treated with the mold inhibitor the nutritional change of the experimental diets with 18% and 12% protein levels, the growth performance of chicks, and the weight of internal organs fed the 18% protein diet were observed as the criteria of this research The fat level and carotene content in the two diets with 18% and 12% protein level each were significantly (P＜0.05) decreased when the diets were not treated by the mold inhibitor. Even if mold inhibitor was mixed in the diet, the fat content in the diet which had 40% of the particles in the ration less than 1.19mm tended to be decreased, especially, in the diet with a 12% protein level. The carotene content in the diet treated with mold inhibitor which had 40% of the particles in the ration less than 1.19mm also tended to be decreased in both diets (18% protein and 12% protein). Feed types$\times$particle size interaction was significant for the fat content (P＜0.05) and for the carotene content (P＜0.05). The amount of crude protein and ADF was not significantly (P＞0.05) changed after 40 days storage. There was a significant decrease (P＜0.05) in total body weight gain and total feed intake observed in chicks fed the untreated diet with 40% of the particles in the ration less than 1.19mm. Feed conversion was significantly (P＜0.05) depressed in the chicks fed the untreated diet of both particle sizes. Particle size$\times$types of feed interaction in feed conversion was significant (P＜0.05). Relative sizes of the liver, pancreas and spleen were not affected significantly (P＞0.05) by the treatments.

• Korean Journal of Poultry Science
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• v.15 no.4
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• pp.261-268
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• 1988

The effect of two particle size ranges (80% of the particles in the ration less than 1.19mm ; and 40% of the particles in the ration less than 1.1mm) and two different levels of protein (18% and 12% ) on the activity of mold inhibitors in commercial ration was determined by measuring mold count, CO$30^{\circ}C$ production and aflatoxin concentration. A commercial fungistat was mixed in the treated diets at the level of 0.1% (W/W). Two types of experimental diets (18% & 12% protein) which contained 12.6 and 12.7% moisture content each were stored under the forced air humidifier at 85% humidity and a controlled-temperature of 29＋1$30^{\circ}C$ for 5 to 40 days. Mold count and CO$30^{\circ}C$ levels in the feed treated with mold inhibitor were significantly higher (P＜0.05 and P＜0.01 respectively) when 40% of the ration's particle size was<1.19mm. The different protein levels in the ration treated with mold inhibitor did not have a significant effect (P＞0.05) on the mold count and $CO_2$ production. Protein level $\times$ particle size range interaction on the $CO_2$ production was significant (P＜0.05). Aflatoxin production in the experimental diet with mold inhibitor was significantly (P＜0.05) affected by the levels of protein and the different particle size ranges. The interaction of protein levels and particle size ranges on the aflatoxin production was significant (P＜0.05) at 40 days of storage.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.661-670
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• 2019

The purpose of this study was to analyze influential factors for blood transfusion for patients undergoing total knee arthroplasty and total hip arthroplasty, which are chronic degenerative arthritis, using the 2017 sample data of Health Insurance Review & Assessment Service, to research the impact of blood transfusion on the usage of medical services among arthroplasty patients, and ultimately to provide some information on how to offer quality medical services. The findings of the study were as follows: First, whether there were any significant differences in the use or nonuse of transfusion during total knee arthroplasty according to hospital characteristics and patient characteristics was compared. As for significant variables, the type of health care institution, the level of sickbed, gender and anemia were found to have been statistically significantly related. Second. whether there were any significant differences in the use or nonuse of transfusion during total hip arthroplasty according to hospital characteristics and patient characteristics was compared. As for significant variables, the type of health care institution and the level of sickbed were found to have been statistically significantly related. Third, whether there were any significant differences in the presence or absence of diabetes among the total knee arthroplasty patients according to hospital characteristics and patient characteristics was compared. As for significant variables, the type of health care institution, the number of sickbed and anemia were found to have been statistically significantly related. In the case of the total hip arthroplasty patients, there were no variables that were significantly related.

• Asia Marketing Journal
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• v.15 no.4
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• pp.51-60
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• 2014

Previous research on loyalty program has verified the factors that influence redemption behavior and the understanding of the mechanism of redemption behavior with academic and practical implications. However, these research has not proven boundary conditions in which the phenomena can be strengthened or weakened- that is, the moderating effect remains unclear. The inclusion of moderating variables can provide a more extensive understanding of the mechanism of this behavior from academic and managerial perspectives alike. Therefore, this current research proposes regulatory focus as a moderating variable, which has received scarce attention in the study of loyalty program behavior, especially individual characteristic variables that, in turn, affect the consumers' purchasing behavior in various ways. Previous research on consumer decision making investigates the differential role of regulatory focus as a series of stages. Regulatory focus theory posits that people depend on the two types of regulatory focus when pursuing goals: promotion focus vs. prevention focus. The former induces tendencies to recognize a goal as a hope and ideal, as something that satisfies the need for accomplishment, and to be sensitive to the presence of a positive outcome of the match and to match the pursuit of goals. On the other hand, the latter tends to regard a goal as the responsibility or obligation to achieve the goal, has a tendency to avoid failure to meet a target, and is sensitive to the presence of the negative consequences that do not reach the target. The following propositions are suggested: 1) The effect of higher accumulation effort level on delaying point redemption speed will be relatively more pronounced for customers with prevention focus. 2) The effect of higher accumulation effort level on large redemption unit size will be relatively more pronounced for customers with prevention focus. 3) The effect of higher accumulation effort level on hedonic redemption ratio will be relatively more pronounced for customers with promotion focus. Therefore, this research provides a moderating variable that has the potential to be used as a reference for market segmentation and affects the relationship between point accumulation effort and three sides of point redemption behavior. On this basis, the direction for the future research on this issue is recommended. Future research could verify these propositions conducting a survey of customers' propensity of regulatory focus in conjunction with the history of the loyalty program of data. This would provide a more realistic effect on the usage behavior of loyalty program consumers by providing useful implications for both marketing practitioners and researchers.

• Knowledge Management Research
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• v.24 no.3
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• pp.173-193
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• 2023

Digital transformation and the COVID-19 pandemic have facilitated the rapid development and dissemination of non-face-to-face technologies such as self-service technologies (SSTs). This research investigates how motivation factors affect consumers' negative responses to digital shadow work (DSW) in SSTs which decreases their continuous use intention of SSTs. Also, we examine whether the grafication delay ability moderates the relationship between consumers' negative responses to DSW and their continuous use intention of SSTs. By an analysis of usable 450 user respondents via SmartPLS 4.0, perceived benefits was found to significantly influence consumers' negative responses to DSW. Also, consumers' negative responses to DSW can significantly decrease their intention to continue using SSTs. Further, the effect of negative responses to DSW on continuous use intention of SSTs is stronger in case of consumers with low gratification delay ability than in case of consumers with high gratification delay ability. The study findings contribute to providing some strategies for companies operating SSTs by examining the effects of consumer's responses to DSW and gratification delay ability on the continuous usage intention of SSTs.

• Membrane Journal
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• v.33 no.6
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• pp.352-361
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• 2023

Steam methane reforming is currently the most widely used technology for producing hydrogen, a clean fuel. Hydrogen produced by steam methane reforming contains impurities such as carbon monoxide, and it is essential to undergo an appropriate post-purification step for commercial usage, such as fuel cells. Recently, membrane separation technology has been gaining great attention as an effective purification method; in this study, we evaluated the feasibility of using commercial polysulfone membranes for biogas upgrading to separate and recover hydrogen from a hydrogen/carbon monoxide gas mixture. Initially, we examined the physicochemical properties of the commercial membrane used. We then conducted performance evaluations of the commercial membrane module under various conditions using mixed gas, considering factors such as stage-cut and operating pressure. Finally, based on the evaluation results, we carried out simulations for process design. The maximum H₂ permeability and H₂/CO separation factor for the commercial membrane process were recorded at 361 GPU and 20.6, respectively. Additionally, the CO removal efficiency reached up to 94%, and the produced hydrogen concentration achieved a maximum of 99.1%.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.17-27
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• 2023

Today, as AI (Artificial Intelligence) technology develops and its practicality increases, it is widely used in various application fields in real life. At this time, the AI model is basically learned based on various statistical properties of the learning data and then distributed to the system, but unexpected changes in the data in a rapidly changing data situation cause a decrease in the model's performance. In particular, as it becomes important to find drift signals of deployed models in order to respond to new and unknown attacks that are constantly created in the security field, the need for lifecycle management of the entire model is gradually emerging. In general, it can be detected through performance changes in the model's accuracy and error rate (loss), but there are limitations in the usage environment in that an actual label for the model prediction result is required, and the detection of the point where the actual drift occurs is uncertain. there is. This is because the model's error rate is greatly influenced by various external environmental factors, model selection and parameter settings, and new input data, so it is necessary to precisely determine when actual drift in the data occurs based only on the corresponding value. There are limits to this. Therefore, this paper proposes a method to detect when actual drift occurs through an Anomaly analysis technique based on XAI (eXplainable Artificial Intelligence). As a result of testing a classification model that detects DGA (Domain Generation Algorithm), anomaly scores were extracted through the SHAP(Shapley Additive exPlanations) Value of the data after distribution, and as a result, it was confirmed that efficient drift point detection was possible.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.435-442
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• 2023

This study is a descriptive survey study to confirm the degree of depression, self-efficacy, life stress and smartphone addiction of nursing college students, and to identify their correlations and influencing factors. The study subjects had 15.85 points of depression, 3.19 points of self-efficacy, 2.47 points of life stress, and 39.23 points of smartphone addiction. As a result of analyzing smartphone addiction according to the general characteristics of the subjects, there was no statistically significant difference in grade and major, and there were significant differences in gender(t=-2.540, p=.014), grade(F=3.080, p=.029), smartphone importance(F=16.192, P<0.001), smartphone usage time (F=6.938, P<0.001). The subject's smartphone addiction showed a positive correlation with depression (r=.351, p<0.01), life stress (r=.321, p<.001), and self-efficacy (r=-.383, p<.001) showed a negative correlation. A negative correlation was found between depression and self-efficacy (r=-.529, p<.001), and a positive correlation was found between life stress (r=.568, p<.001). A negative correlation was found between self-efficacy and college life stress (r=-.434, p<.001). Self-efficacy appeared to be an influential factor in the subject's smartphone addiction. The goal is to provide basic data for programs and education to improve college students' self-efficacy.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.539-544
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• 2023

In this study, several important aspects were studied in producing video advertisements based on the lifestyle and SNS status of Generation Z. Generation Z highly values participation and interaction due to the nature of SNS, so SNS advertisements should be produced in a way that induces active interaction with viewers and accepts feedback. Here's a summary of the main parts. It prefers various content formats of Generation Z that consume information. Advertisements should be produced in various formats such as text, images, and videos, and should have flexibility suitable for various platforms. Because each SNS platform has its own characteristics due to platform specialization, this study suggests that advertisements analyze the characteristics of the platform and use the appropriate content strategy for the optimized platform. As an emphasis on value proposition, we propose an advertising format setting to focus on what value the product or brand provides. It is important to clearly emphasize the advantages and intrinsic value of a product or service in video advertising, and in conclusion, we propose to focus on the case of increasing interest by adopting modern and trendy design of storytelling as an attractive and unique design method of aesthetic design and visual effects. Considering these factors comprehensively, the research value of this paper will be able to establish an effective SNS marketing strategy by producing video advertisements that match the lifestyle and SNS usage characteristics of Generation Z.

• Information Systems Review
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• v.23 no.4
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• pp.1-22
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• 2021

In the newly encountered economy caused by the Corona virus Disease-19, remote transaction becomes a new normal that disrupt traditional economic order. In the middle of the disruption, mobile tech is placed and remote finance on mobile is highly noticed and considered as an infra-tech to support the new ecology, In mobile finance. remote payment is becoming the most common service and personal identification on it is critical to operate the new service. There are various means of remotely identifying a person. Recently the use of biometric information is increasing. In this study, a correlation analysis was conducted on factors that effects to biometrics usage and the intention to use in remote personal identification. Variables for critical factor in the remote identification were classified into 4 groups such as Performance expectancy, Effort expectancy, Social influence, and Security. The empirical analysis based on the Unified Theory of Acceptance and Use of Technology (UTAUT) was conducted. The relationship between variables and the intention to use is also analyzed. In the study, stepwise regression analysis was conducted four times in which variables were adjusted in individual stage. As a result, the analysis suggests that performance expectancy, effort expectancy, social influence, security have positive effects for intention to use. Additionally, effort expectancy and security have moderating effects to intention to use depends on biometric authentication experience. The analysis has shown positive effect of variables grouped on the intention to use them. It also suggests that the intention to use biometric authentication will quickly grow. This study is expected to make a contribution to utilize and improve the use of biometric information in mobile payment.