• Land and Housing Review
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• v.15 no.1
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• pp.167-177
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• 2024

This study aimed to assess the efficacy of an adsorption process in removing organic matter and micropollutant residuals. After a full-scale water circulation system, the adsorption process was considered a post-treatment step. The system, treating anthropogenically impacted surface waters, comprises a hydro-cyclone, coagulation, flocculation, and dissolved air flotation unit. While the system generally maintained stable and satisfactory effluent quality standards over months, it did not meet the highest standard for organic matter (as determined by chemical oxygen demands). Adsorption experiments utilized two granular activated carbon types, GAC 830 and GCN 830, derived from coal and coconut-shell feedstocks, respectively. The assessment encompassed organic materials along with two notable micropollutants: acetaminophen (APAP) and acid orange 7 (AO7). Adsorption kinetics and isotherm experiments were conducted to determine adsorption rates and maximum adsorption amounts. The quantitative findings derived from pseudo-second-order kinetics and Langmuir isotherm models suggest the effectiveness of the adsorption process. The findings of this study propose the potential of employing the adsorption process as a post-treatment to enhance the treatment of contaminants that are not satisfactorily treated by conventional water circulation systems. This enhancement is crucial for ensuring the sustainability of urban water cycles.

• Journal of Korean Medicine Rehabilitation
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• v.34 no.2
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• pp.101-134
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• 2024

Objectives The purpose of this study is to observe the effectiveness of acupotomy treatment for lateral epicondylitis by comparing it with various control groups. Methods We searched 11 domestic and international databases for systematic reviews and meta-analysis. The subjects were studies published from January 1, 2017 to September 1, 2023, and only randomised controlled trials were included. Results 208 studies were searched, of which 21 studies were finally selected. Among the studies published after 2017, the largest number of studies was published in 2019. The average number of participants per study was 72.28±20.26 and the average age was in the 40s. The most frequent intervention in the study was acupotomy alone, and the treatment most often mentioned as a control group was local nerve block. The most used evaluation tool is efficiency. Acupotomy+manipulation had statistically better effect than that of local nerve block in terms of pain (standard mean difference -1.87, 95% confidence interval, -2.18 to -1.57, p<0.00001) and elbow joint function (standard mean difference 2.25, 95% confidence interval, 1.65 to 2.86, p<0.00001). Conclusions As a result of the meta-analysis, the effect of acupotomy added manual therapy treatment was statistically significant compared to the local nerve block frequently used for lateral epicondylitis. Based on these results, it appears that more research on combination treatments other than acupotomy treatment will be needed. Also, it appears that more large-scale randomized controlled studies that strictly adhere to the standards for reporting interventions in controlled trials of acupuncture, risk of bias 2 criteria will be needed.

• Information Systems Review
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• v.22 no.4
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• pp.21-39
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• 2020

Recently, deep learning has shown high performance in various applications such as pattern analysis and image classification. Especially known as a difficult task in the field of machine learning research, stock market forecasting is an area where the effectiveness of deep learning techniques is being verified by many researchers. This study proposed a deep learning Convolutional Neural Network (CNN) model to predict the direction of stock prices. We then used the feature selection method to improve the performance of the model. We compared the performance of machine learning classifiers against CNN. The classifiers used in this study are as follows: Logistic Regression, Decision Tree, Neural Network, Support Vector Machine, Adaboost, Bagging, and Random Forest. The results of this study confirmed that the CNN showed higher performancecompared with other classifiers in the case of feature selection. The results show that the CNN model effectively predicted the stock price direction by analyzing the embedded values of the financial data

• Korean Journal of Fisheries and Aquatic Sciences
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• v.57 no.2
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• pp.116-121
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• 2024

The meats of tuna Thunnus albacares and swordfish Xiphias gladius are ideal for fish patty production, offering high nutrition and other health benefits. Although red fish meat, including tuna, is added for cost-effectiveness, swordfish white meat is also used, as its aroma resembles that of market-sold beef patties. Here, we assessed the different blending ratios of tuna red meat and swordfish white meat (60:40, 40:60, 20:80, and 0:100) to find the optimal combination for fish patty production. Regarding color, the heated fish patties exhibited increased redness (a*) and yellowness (b*) compared with those of non-heated ones, with similar brightness (L*). The heated patties also scored higher concerning hardness, springiness, gumminess, and chewiness. A higher proportion of swordfish white meat resulted in a softer texture, particularly in patties with a ratio of 40% red meat to 60% white meat. Considering the results of the texture comparison analysis, it is recommended that the texture be improved by increasing the physical property "softness." Sensory evaluations revealed that the addition of white meat led to increased scores in terms of smell, beef taste, texture, and elasticity. These results suggest that swordfish white meat, with improved overall quality, is a suitable raw material for fish patties. Accordingly, the recommended ratio of 20% tuna red meat to 80% swordfish white meat is optimal for fish patty production.

• Journal of the Korea Institute of Building Construction
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• v.24 no.1
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• pp.97-108
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• 2024

This research delves into the escalating concerns of accidents and fatalities in the construction industry over the recent five-year period, focusing on the development of a Safety Perception Model to augment safety measures. Given the rising percentage of elderly workers and the concurrent drop in productivity within the sector, there is a pronounced need for leveraging Fourth Industrial Revolution technologies to bolster safety protocols. The study comprises an in-depth analysis of statistical data regarding construction-related fatalities, aiming to shed light on prevailing safety challenges. Central to this investigation is the formulation of a Safety Perception Model tailored for small-scale construction projects. This model facilitates the quantification of safety risks by evaluating safety grades across construction sites. Utilizing the DWM1000 module, among an array of wireless communication technologies, the model enables the real-time tracking of worker locations and the assessment of safety levels on-site. Furthermore, the deployment of a safety management system allows for the evaluation of risk levels associated with individual workers. Aggregating these data points, the Safety Climate Index(SCLI) is calculated to depict the daily, weekly, and monthly safety climate of the site, thereby offering insights into the effectiveness of implemented safety measures and identifying areas for continuous improvement. This study is anticipated to significantly contribute to the systematic enhancement of safety and the prevention of accidents on construction sites, fostering an environment of improved productivity and strengthened safety culture through the application of the Safety Perception Model.

• Industry Promotion Research
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• v.9 no.1
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• pp.31-38
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• 2024

In this study, evaluated the properties of layered silicate-based nanocomposite sensitive film. For the fabrication of nanocomposite materials, we selected organically modified layered silicate materials, specifically Cloisite^® and Bentone^®, which were treated with quaternary ammonium salts. The impedance of the humidity sensors containing organically modified montmorillonite/hectorite clay decreased with increasing relative humidity(RH%). In the case of the Cloisite^® humidity sensor exhibited slightly better impedance linearity and hysteresis compared to the Bentone^® 38 humidity sensor. Additionally the impedance of the sensor with Bentone^® 38 addition was the lowest when compared to the Cloisite^®-modified sensor. Comparing the Cloisite^®-modified sensors individually, we observed different moisture absorption characteristics based on the hydrophilic properties of the organic-treated materials. The response speed of Cloisite^® 93A tended to be slower due to differences in moisture evaporation rates influenced by the hydrophilic organic components. Based on these results, moisture barriers utilizing organically modified layered silicate materials may exhibit slightly lower moisture absorption properties compared to conventional polymer-based moisture barriers. However, their excellent stability, simple processing, and cost-effectiveness make them suitable for humidity sensor applications.

• The Mathematical Education
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• v.63 no.2
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• pp.335-350
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• 2024

This study explored the factors that influence elementary school teachers' intention to use an artificial intelligence (AI) math learning system and analyzed the interactions and relationships among these factors. Based on the technology acceptance model, perceived usefulness for math learning, perceived ease of use of AI, and attitude toward using AI were analyzed as the main variables. Data collected from a survey of 215 elementary school teachers was used to analyze the relationships between the variables using structural equation modeling. The results of the study showed that perceived usefulness for math learning and perceived ease of use of AI significantly influenced teachers' positive attitudes toward AI math learning systems, and positive attitudes significantly influenced their intention to use AI. These results suggest that it is important to positively change teachers' perceptions of the effectiveness of using AI technology in mathematics instruction and their attitudes toward AI technology in order to effectively adopt and utilize AI-based mathematics education tools in the future.

• Journal of Science Education
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• v.48 no.1
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• pp.47-62
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• 2024

The purpose of this study is to investigate the effects of classes using AlgeoMath on fifth grade elementary students' mathematical problem-solving skills and mathematical attitudes. For this purpose, the 'cuboid' section of the 5th grade elementary textbook based on AlgeoMath was reorganized. A total of 8 experimental classes were conducted using this teaching and learning material. And the quantitative data collected before and after the experimental lesson were statistically analyzed. In addition, by presenting instances of experimental lessons using AlgeoMath, we investigated the effectiveness and reality of classes using engineering in terms of mathematical problem-solving ability and attitude. The results of this study are as follows. First, in the mathematical problem-solving ability test, there was a significant difference between the experimental group and the comparison group at the significance level. In other words, lessons using AlgeoMath were found to be effective in increasing mathematical problem-solving skills. Second, in the mathematical attitude test, there was no significant difference between the experimental group and the comparison group at the significance level. However, the average score of the experimental group was found to be higher than that of the comparison group for all sub-elements of mathematical attitude.

• Information Systems Review
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• v.21 no.2
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• pp.139-155
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• 2019

Recently, the domestic e-commerce market has achieved remarkable growth through the spread of e-commerce throughout the industry. Nevertheless, the ratio of e-commerce use by our small and medium-sized enterprises has turned out to be very low. The reason for this low participation rate of SMEs in B2B e-commerce market is due to various reasons, but also the lack of empirical performance measurement and evaluation considering the characteristics of B2B e-commerce market in which SMEs participate. Therefore, this study was intended to analyze the effectiveness of B2B e-commerce use of B2B e-commerce to companies that are provided in conjunction with e-Marketplace by public credit guarantee agencies with experience in use. To this end, 14 items related to finance derived through prior research were used to conduct management performance analysis and hypothesis verification from a financial perspective. The implications of this study are expected to be that an empirical performance analysis from the financial perspective of a B2B e-commerce guarantee Utilized company can be used as a basis for policymaking for the activation of the B2B e-commerce guarantee in the future, thus contributing to the establishment of a stable business environment by supporting the expansion of e-commerce by small and medium-sized businesses.

• Advances in nano research
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• v.16 no.6
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• pp.565-577
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• 2024

Vibration investigation of fluid-filled functionally graded cylindrical shells with ring supports is studied here. Shell motion equations are framed first order shell theory due to Sander. These equations are partial differential equations which are usually solved by approximate technique. Robust and efficient techniques are favored to get precise results. Employment of the Rayleigh-Ritz procedure gives birth to the shell frequency equation. Use of acoustic wave equation is done to incorporate the sound pressure produced in a fluid. Hankel's functions of second kind designate the fluid influence. Mathematically the integral form of the Langrange energy functional is converted into a set of three partial differential equations. A cylindrical shell is immersed in a fluid which is a non-viscous one. These shells are stiffened by rings in the tangential direction. For isotropic materials, the physical properties are same everywhere where the laminated and functionally graded materials, they vary from point to point. Here the shell material has been taken as functionally graded material. After these, ring supports are located at various positions along the axial direction round the shell circumferential direction. The influence of the ring supports is investigated at various positions. Effect of ring supports with empty and fluid-filled shell is presented using the Rayleigh - Ritz method with simply supported condition. The frequency behavior is investigated with empty and fluid-filled cylindrical shell with ring supports versus circumferential wave number and axial wave number. Also the variations have been plotted against the locations of ring supports for length-to-radius and height-to-radius ratio. Moreover, frequency pattern is found for the various position of ring supports for empty and fluid-filled cylindrical shell. The frequency first increases and gain maximum value in the midway of the shell length and then lowers down. It is found that due to inducting the fluid term frequency result down than that of empty cylinder. It is also exhibited that the effect of frequencies is investigated by varying the surfaces with stainless steel and nickel as a constituent material. To generate the fundamental natural frequencies and for better accuracy and effectiveness, the computer software MATLAB is used.