• Tuberculosis and Respiratory Diseases
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• v.85 no.1
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• pp.1-10
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• 2022

Pulmonary hypertension (PH) is a condition of increased blood pressure in the pulmonary arteries and is diagnosed with an increased a mean pulmonary artery pressure ≥25 mm Hg. This condition may be associated with multiple clinical situations. Based on pathophysiological mechanisms, clinical presentation, hemodynamic profiles, and treatment strategies, the patients were classified into five clinical groups. Although there have been major advances in the management of PH, it is still associated with significant morbidity and mortality. The diagnosis and treatment of PH have been performed mainly by following European guidelines, even in Korea because the country lacks localized PH guidelines. European treatment guidelines do not reflect the actual status of Korea. Therefore, the European diagnosis and treatment of PH have not been tailored well to suit the needs of Korean patients with PH. To address this issue, we developed this guideline to facilitate the diagnosis and treatment of PH appropriately in Korea, a country where the consensus for the diagnosis and treatment of PH remains insufficient. This is the first edition of the guidelines for the diagnosis and treatment of PH in Korea, and it is primarily based on the '2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension.' with the acceptance and adaptation of recent publications of PH.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.217-224
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• 2021

Because of the development of the 4th industrial technology such as artificial intelligence and the corona situation, the recent university society is rapidly changing. As the college entrance exam environment is also getting seriously difficult, departments and majors are rapidly changing at the university. Therefore, the department of the university needs a curriculum for new majors or convergence majors according to the internal and external environment of the department. However, it is a very difficult and time-consuming task to develop such a curriculum accurately. This paper proposes a curriculum development method and an application case using the National Competency Standards(NCS). The curriculum development method proposed in this paper consists of the traditional three-step method, namely, analysis, design, and development, and NCS is used in each step. This proposed method focused on reducing the time of curriculum development, and an example of curriculum development is presented for the usefulness of the proposed method.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.707-718
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• 2021

Background and objective: Due to the recent crisis of extinction in local areas, the mountain village promotion policy is recognized as an important task. This study examined the priorities of major policy projects in the forest sector that affect mountain village promotion. Methods: For research methods, literature search, expert advisory meetings, and a survey were conducted. The survey was conducted on 42 policy stakeholders from June 1 to August 13, 2021. The literature search was based on policy projects in the forest sector by 8 upper-level local governments including mountain villages. For questionnaire items, 173 forest policy projects were classified into 27 types through expert review, and the importance and performance of each type were rated on a 5-point Likert scale. Paired t-test, IPA, Locus for Focus model, and Borich needs assessment were used as the analysis methods, and the statistical program SPSS 21.0 was used as the analytical tool. Results: The results showed that 'creating forest-related jobs' and 'supporting cultivation of professional forestry workers' both showed high importance and performance, implying that they would show an effect in mountain village promotion. 'Creating forests for environmental improvement', 'discovering forest cultural assets' 'establishing and boosting forest tourism', 'providing forest therapy services', 'creating forest-related jobs', 'supporting community revitalization', and 'urban-rural exchanges' were found to be the types that needed improvement and concentration for mountain village promotion. In particular, 'creating forests for environmental improvement' and 'discovering forest cultural assets' were derived as priority considerations for mountain village promotion policies. Conclusion: In summary, it was found that in order to promote mountain villages, various content projects must be improved and carried out to enhance the physical environment and revitalize mountain villages.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.415-424
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• 2022

This study is a user experience research on the current usage of TV multiview and evaluating the usability. From traditional TV viewing to connecting laptop or mobile devices, the scope of using TV has expanded and evolved to multipurpose. Utilizing the multiview feature offers new TV experiences, but research on its usability has not been actively conducted yet. In this research, a case study and survey were held prior to usability testing to identify user needs and behavior of TV multiview. After reviewing the results, we ran a task-based usability testing and in-depth interview. As a result, users preferred different ways of accessing and using multiview based on their situation, and the current user interface needed improvement for easier, intuitive use. This study is expected to contribute to the development of improving user experience in TV multiview.

• Journal of Biomedical Engineering Research
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• v.43 no.6
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• pp.375-381
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• 2022

Brain-computer interface (BCI) is a technology that allows users with motor disturbance to control machines by brainwaves without a physical controller. Motor imagery (MI)-BCI is one of the popular BCI techniques, but it needs a long calibration time for users to perform a mental task that causes high fatigue to the users. MI is reported as showing a similar neural mechanism as motor execution (ME) and motor observation (MO). However, integrative investigations of these three tasks are rarely conducted. In this study, we propose a new paradigm that incorporates three tasks (MI, ME, and MO) and conducted a comparative analysis. For this study, we collected Electroencephalograms (EEG) of motor imagery/execution/observation from 28 healthy subjects and investigated alpha event-related (de)synchronization (ERD/ERS) and classification accuracy (left vs. right motor tasks). As result, we observed ERD and ERS in MI, MO and ME although the timing is different across tasks. In addition, the MI showed strong ERD on the contralateral hemisphere, while the MO showed strong ERD on the ipsilateral side. In the classification analysis using a Riemannian geometry-based classifier, we obtained classification accuracies as MO (66.34%), MI (60.06%) and ME (58.57%). We conclude that there are similarities and differences in fundamental neural mechanisms across the three motor tasks and that these results could be used to advance the current MI-BCI further by incorporating data from ME and MO.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• Korean Journal of Plant Resources
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• v.35 no.6
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• pp.785-795
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• 2022

Traditional germplasms are unsuitable for mechanized production, limiting adzuki bean production. The creation of cultivars that can be harvested by mechanized means is an urgent task for breeders. The bottom pod height (BPH), lodging resistance, and synchronous maturing of adzuki beans are critical factors for the reduction of losses due to mechanized harvesting. In this study, 14 traits of 806 adzuki bean accessions were analyzed. All growth stages and the yield, lodging score, and synchronous maturing correlated negatively with the BPH. These negative correlations reflect the increased difficulty of breeding to simultaneously satisfy the needs for no lodging, high synchronous maturing rates, BPHs > 10 cm, and high yield. We screened three germplasms with no lodging, high synchronous maturing rates, and BPHs > 10 cm that were used as mechanization-adapted breeding material for crossing with high-yield cultivars. Agronomic trait diversity in adzuki beans was also examined in this study. Principal component and cluster analyses were conducted for 806 germplasms resulting in three clusters with the yield and three growth stage traits serving as the main discriminating factors. Cluster 1 included high-yield germplasms with the number of pods per plant and the number of seeds per pod being the major discriminant factors. Cluster 2 included germplasms with long growth periods and large 100-seed weights while cluster 3 contained germplasms with high BPHs. In general, the characteristics that make mechanical harvesting feasible and those assessed in this study could be utilized to choose and enhance adzuki beans production.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.172-178
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• 2023

In this paper, performance of autoencoder based OFDM communication systems is compared with IEEE 802.11a Wireless Lan System (Wi-Fi). The proposed autoencoder based OFDM system is composed of the following steps. First, one sub-carrier's transmitter - channel - receiver system is created by autoencoder. Then learning process of the one sub-carrier autoencoder generates constellation map. Secondly, using the plural sub-carrier autoencoder systems, parallel bundle is configured with inserting IFFT and FFT before and after the channel to configure OFDM system. Finally, the receiver part of the OFDM communication system was updated by re-learning process for adapting channel condition such as multipath channel. For performance comparison, IEEE802.11a and the proposed autoencoder based OFDM system are compared. For channel estimation, Wi-Fi uses initial long preamble to measure channel condition. but Autoencoder needs re-learning process to create an equalizer which compensate a distortion caused by the transmission channel. Therefore, this autoencoder based system has basic advantage to the Wi-Fi system. For the comparison of the system, additive random noise and 2-wave and 4-wave multipaths are assumed in the transmission path with no inter-symbol interference. A simulation was performed to compare the conventional type and the autoencoder. As a result of the simulation, the autoencoder properly generated automatic constellations with QPSK, 16QAM, and 64QAM. In the previous simulation, the received data was relearned, thus the performance was poor, but the performance improved by making the initial value of reception a random number. A function equivalent to an equalizer for multipath channels has been realized in OFDM systems. As a future task, there is not include error correction at this time, we plan to make further improvements by incorporating error correction in the future.

• Korean Medical Education Review
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• v.25 no.2
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• pp.159-173
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• 2023

The purpose of this study was to develop and validate a competency tool for new nurses and to pilot-test it with new nurses. A Delphi survey was conducted to develop a competency tool, and a self-evaluation was conducted among new nurses who pilot-tested the finally derived competencies. The Delphi survey panel consisted of 18 people, including adjunct professors at the College of Nursing, nursing managers, and nurses with master's degrees. The Delphi survey asked about the validity of the competencies constructed in two rounds. After analyzing the Delphi results with mean, standard deviation, content validity ratio, degrees of convergence, and degrees of consensus, 12 core competencies and 36 enabling competencies were finally derived. The competencies consisted of clinical judgment and management (nine items), task competence (four items), patient orientation (five items), moral value orientation (three items), cooperation (two items), supply management (two items), professional development (three items), confidence (one item), self-control (two items), flexibility (two items), influence (one item), and nurturing others (two items). The finally derived competencies were pilot-tested with 229 new nurses who had worked for 2-12 months. The self-evaluation scores of new nurses were distributed differently according to their working period. In this study, the competencies required for new nurses were identified and the corresponding enabling competencies were identified. In the future, it is expected that a competency-based education program will be prepared based on these findings, and furthermore, it will be possible to provide high-quality medical and nursing services that meet patients' needs by improving the competency of new nurses and lowering the turnover rate.

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.555-563
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• 2022

This study explored the educational effects of e-PBL by using metaverse tools to strengthen PBL interactions among foreign learners. The university's 3-hour, 15-week PBL subject was systematically reorganized to satisfy the needs of online groups of students. Metaverse technology was also used as a tool for interaction in the process of solving practical problems closely related to our social issues through e-PBL. e-PBL lectures are composed of foreign learners from various countries. More than half of the 43 participating students are from 11 different nations. Learners in an e-PBL class are able to partake in task-based learning activities through the use of the metaverse. This qualitative study identified the metaverse is an effective communication tool which transcends language and nationality. It is also a unique space where both verbal and non-verbal communication between team members are possible online. This study can demonstrate the positive effects of e-PBL teaching methods. By using the metaverse's various tools of interaction to improve communication among foreign learners whose Korean levels are not perfect, we can create a digital space which more closely resembles an offline, interpersonal learning experience.