• Journal of The Korean Association For Science Education
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• v.42 no.4
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• pp.439-448
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• 2022

The goal of this study is to develop a protocol that can be used for the purpose of developing inquiry class expertise in science teacher PLC, and to explore the possibility of field application of the developed protocol through test application with in-service teachers. PLC protocol for science inquiry class, consisting of five stages, was developed and applied sequentially to six participating teachers. In order to check the applicability of the protocol, the participating teachers wrote a reflection journal for each stage, and after the completion of the five-stage protocol, the participants' perceptions of the protocol were investigated through a group interview. The results are as follows: first, a protocol for enhancing science teachers' professionalism of inquiry classes was composed and developed in five stages such as (1) Revealing ideas about science inquiry classes, (2) Sharing science inquiry class experiences, (3) Looking together at students' scientific inquiry results, (4) Building literacy for science inquiry teaching, and (5) making science inquiry lesson plans. Second, the possibility of extensive application of the PLC protocol developed in this study was confirmed through the reflection journal and post-interview analysis results of the participants. According to the participating teachers, the protocol helped the systematic operation of PLC and teachers' participation. In addition, by experiencing the five-stage protocol, the teachers had an opportunity to reflect on their inquiry classes and ponder for improvement, and gained confidence in inquiry classes. Based on the research results, ways to develop and utilize the PLC protocol for science teachers were suggested.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.971-978
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• 2022

As a marketing method in a non-face-to-face society, the purpose of this study is to test how AR experience affects purchase intention in the process of consumers recognizing product information to purchase products and to secure the basis for the effectiveness of developing and introducing augmented reality functions in future product brand applications. Literary research methods and empirical research methods were used to verify the research purpose, and to measure this, an application of domestic tableware brand 'Odense', which implements augmented reality functions, was produced and used as an experimental tool. Also, a direct causal relationship was attempted by constituting a questionnaire by deriving a measurement scale for perceived usefulness, perceived ease, perceived pleasure, and purchase, which are factors of technology acceptance theory (TAM), and empirical analysis was conducted using the SPSS 25.0 statistical package to achieve the purpose of the study. As a result of the study, significant results were derived from all factors in the effect of perceived usefulness, ease, and pleasure on purchase intention, and several significant differences were found among factors according to gender, age, and internet shopping usage time in general characteristics. In conclusion, the user experience of the medium in which the augmented reality function is introduced in the information recognition stage of the product has a positive effect on purchase compared to the user experience of existing applications.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.1038-1043
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• 2021

Guaranteed seafarer wage payment is essential to ensure a stable supply of seafarers. However, disputes over non-payment of wages to seafarers often occur. In this study, an automatic wage payment system was designed using a blockchain-based smart contract to resolve the problem of seafarers' wage arrears. The designed system consists of an information register, a matching processing unit, a review rating management unit, and wage remittance before deploying smart contracts. The matching process was designed to send an automatic notification to seafarers and shipowners if the sum of the weight of the four variables, namely wages, ship type/fishery, position, and license, exceeded a pre-defined threshold. In addition, a review rating management system, based on a combination of mean and median, was presented to serve as a medium to mutually fulfill the normal working conditions. The smart contract automatically fulfills the labor contract between the parties without an intermediary. This system will naturally resolve problems such as fraudulent advance payment to seafarers, embezzlement by unregistered employment agencies, overdue wages, and forgery of seafarers' books. If this system design is commercialized and institutionally activated, it is expected that stable wages will be guaranteed to seafarers, and in turn, the difficulties in human resources supply will be solved. We plan to test it in a local environment for further developing this system.

• Journal of Science Education
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• v.46 no.3
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• pp.293-311
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• 2022

In this study, a restriction enzyme mapping inquiry experiment was developed for cultivating basic knowledge on molecular biology and the effects on inquiry experiment ability and positive experience on science through student-centered molecular biology inquiry experiment class for second graders of a general high school was analyzed. First of all, it was found that the experimental class through the inquiry experiment was significantly effective as the percentage of high school students who answered 'yes' or higher in the positive science experience of general high school students was higher after than before the test. As a result of developing and applying a series of five classes for the creation of restriction enzyme maps, not only did the students' interest in science studies, but also their class participation increased. They were also used as effective specific science learning motives, science career aspirations and experience data. The science environment of the inquiry experiment class led to the improvement of students' learning attitudes and positive science experience, which had a positive effect on the importance of class concentration and class quality, active communication and mutual cooperation among students. In addition, inquiry and experiment classes will provide opportunities for career experience, which will become the foundation for cultivating basic knowledge on molecular biology and advancing to science and engineering.

• Therapeutic Science for Rehabilitation
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• v.12 no.3
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• pp.79-88
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• 2023

Objective : This study was to apply a cognitive rehabilitation group program based on sensory activity in patients with dementia living in a facility and to check its effectiveness on cognitive function, depression, and quality of life (QOL). Methods : Sensory-based cognitive rehabilitation group programs (20 sessions) were conducted for eight elderly with dementia over the age of 65 living in a nursing facility located in H-gun, Gangwon-do. The participants' cognitive function, depression level, and QOL were evaluated before and after the program. Results : The mean of Mini-Mental State Examination-Dementia Screening increased; however, there was no statistically significant difference. In contrast, the mean post-test score of the Subjective Memory Complaints Questionnaire decreased, and there was a statistically significant difference (p < .05). The mean post-evaluation score of Short Geriatric Depression Scale measured to confirm the decrease in depression compared to the pre-evaluation score, but there was no statistically significant difference. Finally, the mean post-evaluation score of the World Health Organization QOL assessment instrument-Brief confirmed the change in the QOL, and there was a statistically significant difference (p < .001). Conclusion : This study will provide the basis for suggesting the usefulness of developing a sensory activity-based cognitive rehabilitation group program for dementia patients living in facilities.

• Parasites, Hosts and Diseases
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• v.61 no.3
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• pp.282-291
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• 2023

Despite the recent progress in public health measures, malaria remains a troublesome disease that needs to be eradicated. It is essential to develop new antimalarial medications that are reliable and secure. This report evaluated the pharmacokinetics and antimalarial activity of 1,2,6,7-tetraoxaspiro[7.11]nonadecane (N-89) using the rodent malaria parasite Plasmodium berghei in vivo. After a single oral dose (75 mg /kg) of N-89, its pharmacokinetic parameters were measured, and t_1/2 was 0.97 h, T_max was 0.75 h, and bioavailability was 7.01%. A plasma concentration of 8.1 ng/ml of N-89 was maintained for 8 h but could not be detected at 10 h. The dose inhibiting 50% of parasite growth (ED₅₀) and ED₉₀ values of oral N-89 obtained following a 4-day suppressive test were 20 and 40 mg/kg, respectively. Based on the plasma concentration of N-89, we evaluated the antimalarial activity and cure effects of oral N-89 at a dose of 75 mg/kg 3 times daily for 3 consecutive days in mice harboring more than 0.5% parasitemia. In all the N-89-treated groups, the parasites were eliminated on day 5 post-treatment, and all mice recovered without a parasite recurrence for 30 days. Additionally, administering oral N-89 at a low dose of 50 mg/kg was sufficient to cure mice from day 6 without parasite recurrence. This work was the first to investigate the pharmacokinetic characteristics and antimalarial activity of N-89 as an oral drug. In the future, the following steps should be focused on developing N-89 for malaria treatments; its administration schedule and metabolic pathways should be investigated.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.2
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• pp.182-195
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• 2023

The purpose of this study was to analyze reports from research middle schools based on the criteria for process-focused assessment to find out how the characteristics of process-focused assessment were being implemented in middle school science classes. The analysis criteria for the characteristics of process-focused assessment (integration of lessons and assessments, evaluation elements and methods, content and timing of feedback, and learner growth management) were extracted. Using the analysis framework, the result reports of seven research middle schools for process-focused assessment were analyzed. In terms of integration of lessons and assessments, when the process-focused assessment was operated, the class and evaluation plan were well implemented based on the curriculum achievement standards, but the process-focused assessment was recognized as a performance evaluation. In terms of evaluation elements and methods, the evaluation element for knowledge was the main component, and competency was presented in the planning stage, but competency was not dealt with in class execution. The evaluation method was biased toward teacher-centered observation evaluation and written test, and the setting of scoring criteria for each evaluation element was insufficient. In terms of the content and timing of feedback, feedback was mainly provided based on achievement confirmation, but no case was found in which scaffolding was provided at an appropriate time for insufficient parts in the learning process. In terms of the learner's growth management, the competencies cultivated through science classes were included in the detailed subject specialties of the school record. However, little was shown in the report on how to systematically manage the process of developing learners' competencies and reflect the evaluation results to teachers' class improvement.

• Journal of Broadcast Engineering
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• v.28 no.3
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• pp.293-301
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• 2023

Unstandardized medical data collection and management are still being conducted manually, and studies are being conducted to classify CT data using deep learning to solve this problem. However, most studies are developing models based only on the axial plane, which is a basic CT slice. Because CT images depict only human structures unlike general images, reconstructing CT scans alone can provide richer physical features. This study seeks to find ways to achieve higher performance through various methods of converting CT scan to 2D as well as axial planes. The training used 1042 CT scans from five body parts and collected 179 test sets and 448 with external datasets for model evaluation. To develop a deep learning model, we used InceptionResNetV2 pre-trained with ImageNet as a backbone and re-trained the entire layer of the model. As a result of the experiment, the reconstruction data model achieved 99.33% in body part classification, 1.12% higher than the axial model, and the axial model was higher only in brain and neck in contrast classification. In conclusion, it was possible to achieve more accurate performance when learning with data that shows better anatomical features than when trained with axial slice alone.

• Journal of Space Technology and Applications
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• v.3 no.1
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• pp.86-99
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• 2023

The mass spectrometer, being an essential scientific instrument for uncovering the origin of the solar system and life, has been used since the early 1970s on board spacecraft to obtain information of neutral and ionized elements in the atmosphere and surface of the moon, planets, asteroids, and comets. According to the 4th Basic Plan for the Promotion of Space Development (2023-2027), Korea plans to conduct lunar landing in 2032 and Mars landing in 2045 as the core goals of the plan and focuses on developing the technologies required for unmanned robotic exploration missions. In this regard, it is crucial to develop the technology of a mass spectrometer, which is the most fundamental payload for space exploration for maximized scientific achievements, however never tried before in any domestic space missions. We describe in this paper the principle of a domestically developed quadrupole mass spectrometer, its prototype model, and the test results of its performance. We conclude this paper with intended future improvements.

• Korean Chemical Engineering Research
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• v.61 no.1
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• pp.123-141
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• 2023

A sufficient amount of data with quality is needed for training artificial neural networks (ANNs). However, developing ANN models with a small amount of data often appears in engineering fields. This paper presented an ANN model to improve prediction performance of the ammonia emission amount with 83 data. The ammonia emission rate included eleven inputs and two outputs (maximum ammonia loss, N_max and time to reach half of N_max, K_m). Categorical input variables were transformed into multi-dimensional equal-distance variables, and 13 data were added into 66 training data using a generative adversarial network. Hyperparameters (number of layers, number of neurons, and activation function) of ANN were optimized using Gaussian process. Using 17 test data, the previous ANN model (Lim et al., 2007) showed the mean absolute error (MAE) of K_m and N_max to 0.0668 and 0.1860, respectively. The present ANN outperformed the previous model, reducing MAE by 38% and 56%.