• Journal of Hospice and Palliative Care
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• v.17 no.4
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• pp.259-269
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• 2014

Purpose: This preliminary study is aimed at developing standardized tools for psycho-social assessment of patients in needs for hospice/palliative care. To accomplish the purpose, investigators examined effects of perceptions of social workers on the importance of psycho-social domains of assessment in hospice/palliative care settings. Moreover, investigators paid attention to variances of perceptions of social workers' along with types of institution and credentials of those family settings. Methods: A form of questionnaire was first explored from an initial interview assessment of 10 government-certified hospice care providers and a literature review, second constructed with eight domains and 80 items, and sent by e-mail to 55 institutions and hospitals providing hospice/palliative cares in Korea. Lastly, a total of 31 agencies returned with a completed responses and consent form (56% response rate). SPSS program (version 18.0) was used for data analysis. Results: Study found that social workers perceived patients' family background (m=4.53, 5-point scale) as the most important assessment domain, whereas economic conditions (4.06 point) the least important. Social workers' perception varied by credentials (i.e., license types, training, full-time position, types of care facility). Conclusion: Based upon study findings, investigators can conclude strong needs for developing a assessment tool that measures multiple domains (i.e., psychological, social and ecological aspects) of patients. A standardized assessment tool should be structured with 2 axis (center/core and expanded/peripheral) and tailored for institution type. Second, professional trainings must be provided by strengthening legal institutionalization and fostering qualified social workers with full responsibilities of hospice and palliative care patients.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.4
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• pp.93-111
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• 2007

The Internet is now an integral part of the everyday lives of a majority of people. Web users are becoming increasingly skeptical of the information and services offered online. They are demanding web sites that offer credible information. This study focused on what features of web sites affect the perception of web credibility. For this purpose, I took the responses from 648 people and extracted 49 factors that affect web credibility. I placed the individual factors - the specific questions asked in the survey - into one of four categories expertise. trustworthiness, ads and other and calculated the means for each of the 49 factors. As a result, 29 out of 49 factors increase the Perceptions of credibility and 20 factors decrease the web credibility. Sites with frequently update. the credentials of authors, strict content guides, search capabilities, clear connections to the real world fared good in credibility. Technical problems such as broken links, site sown, or typographical errors were rated the most negative on this scale On the other end of the scale, a domain name that ends in' .org' or' .or.kr' caused little change in perception of credibility.

• Journal of Science Education
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• v.41 no.1
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• pp.60-79
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• 2017

The purpose of this study was to develop a program for the history of science and technology in order for the technical high school students to understand the nature of science (NOS). The program was composed of the six topics based on the textbooks such as convergence science and physics I, and was taught to 290 10th graders at a technical high school located in the metropolitan area. The questionnaire about NOS was asked the students before and after the instruction, so as to investigate the effect of the program on improving their understandings of NOS. The analysis followed t-test and ANOVA using SPSS 23.0 for Windows program. The questionnaire based on the conceptual framework of the four themes of the NOS (Lee, 2014). The research findings were as follows. First, the program was effective in improving their understanding of NOS since the t-test result was significant statistically for the overall domains of NOS (p<.01). Second, there was no significant gender differences in the understanding of NOS among technical high school students (p<.05), neither did their majors (p<.05). Third, all domains in NOS were statistically correlated (p<.01), and in a particular, each domain was consistently correlated with the aspect of the nature of the interactions among science, technology, and society. Hence, the further studies should be conducted to examine how the history of science and technology effects the understanding of the NOS and how the domains in NOS affected each other.

• Journal of the Korean association of regional geographers
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• v.22 no.1
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• pp.251-266
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• 2016

Intelligent interpolation methods such as dasymetric mapping are considered to be the best way to disaggregate zone-based population data by observing and utilizing the internal variation within each source zone. This research reviews the advantages and problems of the dasymetric mapping method, and presents a geographically weighted regression (GWR) based method to take into consideration the spatial heterogeneity of population density - land cover relationship. The locally adaptive intelligent interpolation method is able to make use of readily available ancillary information in the public domain without the need for additional data processing. In the case study, we use the preclassified National Land Cover Dataset 2011 to test the performance of the proposed method (i.e. the GWR-based multi-class dasymetric method) compared to four other popular population estimation methods (i.e. areal weighting interpolation, pycnophylactic interpolation, binary dasymetric method, and globally fitted ordinary least squares (OLS) based multi-class dasymetric method). The GWR-based multi-class dasymetric method outperforms all other methods. It is attributed to the fact that spatial heterogeneity is accounted for in the process of determining density parameters for land cover classes.

• Nuclear Engineering and Technology
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• v.17 no.4
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• pp.290-301
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• 1985

600MW(e) CANDU Primary Heat Transport System (PHTS) is composed of the two “figure-of-eight” loops and is designed to operate with the 4% Reactor Outlet Header (ROH) quality at its rated power. This existence of the two compressible regions and the positive flow-qualitly-void feedbacks are the sources of the PHTS flow instability. To ensure the PHTS stability, ROH-ROH interconnect pipes are installed as passive systems. This paper describes the investigation of the PHTS flow instability at its design full power condition. Also studied are the interconnect effect and the inherent system damping effect on the system stability. The time domain stability analyses are accessed by using the ATHER/MOD-I code which is the improved version of the KAERI developed ATHER code. Under the most adverse system modelling, the “figure-of-eight” symmetric loop shows divergent flow oscillations. Under with the interconnect, the PHTS stability is remarkably enhanced so that the system becomes stable. However, even under the conservative pressurizer modelling, the PHTS shows the more convergent flow oscillations. With the interconnect and the pressurizer modelling, its stability is highly credited. Conclusively, the inherent system damping by pressurizer itself can credit the PHTS stability without the interconnect.

• Journal of Life Science
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• v.26 no.7
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• pp.868-874
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• 2016

Receptor-interacting protein kinase 1 (RIPK1) and RIPK3 are members of the serine or threonine protein kinase superfamily that phosphorylates the hydroxyl group of serine or threonine through the highly conserved kinase region. The RIPK family plays a crucial role not only in inflammation and innate immunity, but also in mediating programmed cell death, such as apoptosis and necroptosis. The interaction between RIPK1 and other TNFR1-related proteins has been shown to assemble a signaling complex I that controls activation of the pro-survival transcription factor NF-κB upon binding of cytokines to TNF receptor 1 (TNFR1). Moreover, RIPK1 and RIPK3 interact through their RIP homotypic interaction motifs (RHIMs) to mediate programmed necrosis, which has long been considered an accidental and uncontrolled cell death form with morphological characteristics differing from those of apoptosis. Highly conserved sequences of RHIM in RIPK1 and RIPK3 were shown to regulate their binary interaction, leading to assembly of a cytosolic amyloid complex termed the “necrosome”. The necrosome also contains mixed lineage kinase domain-like protein (MLKL), which has been found recently to be a substrate of RIPK3 to mediate downstream signaling. This review provides an overview of the functional and physiological characteristics of RIPKs and MLKL in TNF signaling.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.615-623
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• 2019

The purpose of this study was to examine the understanding and perception of 'community welfare', a domain of social welfare. First of all, we used the Q methodology, a qualitative research, to typology the recognition of community welfare. For the analysis, we have obtained various terms (Q samples) that have been discussed and learned in the community welfare, and examined the types of recognition of these terms. For the analysis, 29 samples of 29 samples were obtained from 29 samples of P samples. As a result of analysis, three types were defined. In other words, emphasizes 'participation of residents', 'building ties', and 'improvement of life quality of residents' is named it "Quality of residents life-Relationship Type". emphasizes 'improvement of quality of life of residents' and 'satisfaction of community needs' and named it "Quality of residents life- Desire for community needs Type". emphasizes 'participation of residents' and 'improvement of quality of life of residents' and named it "Participation of Residents-Quality of Life Type". The respondents' characteristics according to type, it was found that there was a difference in recognition of community welfare by individual characteristics. So, we hope to enhance the usefulness of the hypothesis abductive approach and to extend the study to future quantitative research.

• The Journal of Korean Association of Computer Education
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• v.22 no.1
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• pp.21-30
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• 2019

In this research, there is a purpose to develop an informatics education curriculum of the general level that the preliminary teacher at elementary school prepares for information education. First of all, in order to achieve the purpose, we compare and analyze the standard CS 2013 of the educational curriculum of elementary school teacher training university, University-Level Program cooperation deepening course, higher education course, and prepared content and level. Secondly, subjects were structured in consideration of standard J07-GE analysis of higher education curriculum and cooperation with secondary education course. Third, subject names were determined by examination by experts, taking into consideration the scope of subjects, content system composition, etc. Computer Science II, Computer Science II, Data Management in the domain to understand the basic principles of Computer Science I, Computing System, in order to approach expert opinions, analysis results, problems arising in information society from the viewpoint of computer science We proposed data management and analysis to grasp the patterns and relationships involved. In this research, not only improving ability to solve problems based on the basic capacity strengthening of teachers but also presenting subjects of general level, considering continuity star of high school information subjects it makes sense.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.12
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• pp.485-496
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• 2018

So far, the deep learning, a field of artificial intelligence, has achieved remarkable results in solving problems from unstructured data. However, it is difficult to comprehensively judge situations like humans, and did not reach the level of intelligence that deduced their relations and predicted the next situation. Recently, deep neural networks show that artificial intelligence can possess powerful relational reasoning that is core intellectual ability of human being. In this paper, to analyze and observe the performance of Relation Networks (RN) among the neural networks for relational reasoning, two types of RN-based deep neural network models were constructed and compared with the baseline model. One is a visual question answering RN model using Sort-of-CLEVR and the other is a text-based question answering RN model using bAbI task. In order to maximize the performance of the RN-based model, various performance improvement experiments such as hyper parameters tuning have been proposed and performed. The effectiveness of the proposed performance improvement methods has been verified by applying to the visual QA RN model and the text-based QA RN model, and the new domain model using the dialogue-based LL dataset. As a result of the various experiments, it is found that the initial learning rate is a key factor in determining the performance of the model in both types of RN models. We have observed that the optimal initial learning rate setting found by the proposed random search method can improve the performance of the model up to 99.8%.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.2
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• pp.178-188
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• 2019

When using a distributed system, it is very important to know the intention of a target ship in order to prevent collisions. The action taken by a certain ship for collision avoidance and the action of the target ship it intends to avoid influence each other. However, it is difficult to establish a collision avoidance plan in consideration of multiple-ship situations for this reason. To solve this problem, a Distributed Stochastic Search Algorithm (DSSA) has been proposed. A DSSA searches for a course that can most reduce cost through repeated information exchange with target ships, and then indicates whether the current course should be maintained or a new course should be chosen according to probability and constraints. However, it has not been proven how the parameters used in DSSA affect collision avoidance actions. Therefore, in this paper, I have investigated the effect of the parameters and weight factors of DSSA. Experiments were conducted by combining parameters (time window, safe domain, detection range) and weight factors for encounters of two ships in head-on, crossing, and overtaking situations. A total of 24,000 experiments were conducted: 8,000 iterations for each situation. As a result, no collision occurred in any experiment conducted using DSSA. Costs have been shown to increase if a ship gives a large weight to its destination, i.e., takes selfish behavior. The more lasting the expected position of the target ship, the smaller the sailing distance and the number of message exchanges. The larger the detection range, the safer the interaction.