• The Mathematical Education
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• 제63권2호
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• pp.233-254
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• 2024

This paper delves into the symbiotic integration of coding and mathematics education, aimed at cultivating computational thinking and enriching mathematical problem-solving proficiencies. We have identified a corpus of scholarly articles (n=38) disseminated within the preceding two decades, subsequently culling a portion thereof, ultimately engendering a contemplative analysis of the extant remnants. In a swiftly evolving society driven by the Fourth Industrial Revolution and the ascendancy of Artificial Intelligence (AI), understanding the synergy between these domains has become paramount. Mathematics education stands at the crossroads of this transformation, witnessing a profound influence of AI. This paper explores the evolving landscape of mathematical cognition propelled by AI, accentuating how AI empowers advanced analytical and problem-solving capabilities, particularly in the realm of big data-driven scenarios. Given this shifting paradigm, it becomes imperative to investigate and assess AI's impact on mathematics education, a pivotal endeavor in forging an education system aligned with the future. The symbiosis of AI and human cognition doesn't merely amplify AI-centric thinking but also fosters personalized cognitive processes by facilitating interaction with AI and encouraging critical contemplation of AI's algorithmic underpinnings. This necessitates a broader conception of educational tools, encompassing AI as a catalyst for mathematical cognition, transcending conventional linguistic and symbolic instruments.

• Journal of Pharmaceutical Investigation
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• 제39권1호
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• pp.29-36
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• 2009

Since the quality of final products is significantly affected by the homogeneity of powder mixture, the powder blending process has been regarded as one of the critical pharmaceutical unit processes, especially for solid dosage forms. Accordingly, the monitoring to determine a blending process' end-point based on a faster and more accurate in-line/on-line analysis has attracted enormous attentions recently. Among various analytical tools, NIR (near-infrared) spectroscopy has been extensively studied for PAT (process analytical technology) system due to its many advantages. In this study, NIR spectroscopy was employed with an optical fiber probe for the in-line monitoring of fluid-bed blending process. The position of the probe, the ratio of binary powder mixture, the powder size differential and the back-flush period of the shaking bag were examined as principal process parameters. During the blending process of lactose and mannitol powders, NIR spectra were collected, corrected, calibrated and analyzed using MSC and PLS method, respectively. The probe position was optimized. A reasonable end-point was predicted as 1,500 seconds based on 5% RSD value. As a consequence, it was demonstrated that the blending process using a fluid-bed processor has several advantages over other methods, and the application of NIRS with an optical fiber probe as PAT system for a fluid-bed blending process could be high feasible.

• Journal of the Korean Society of Costume
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• 제58권7호
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• pp.76-91
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• 2008

The purpose of this study is to prescribe formative perspectives as a framework where the aesthetic taste and demands of a certain period are embodied and to develop new analytical tools to examine the beauty of dress in terms of form. First, the theoretical tools selected for this study are Heinrich Wolfflin's formative perspective theory derived from art and Marilyn R. DeLong's framework for visual analysis of dress. Second, several issues that limited the development of a new framework for analyzing the form of dress were identified and addressed. Third, the selected aspects of dress form to be analyzed are specified. They are: silhouette, inner form, structure form, materials and patterns based upon the relationship between the body, dress and space in order to develop new formative perspectives. Based upon these theories a new framework for analyzing dress aesthetics in terms of form is developed. This reconstructed framework consists of three sets of antagonistic representational styles: closed form/open form, linear form/painterly form and multiplicity/unity. Closed form/open form represented in dress can be classified by the clear or obscure silhouette shown not only in the relationship between the dress and space around the dress, but also from changeability or invariability of dress in relation to the body. The material, pattern and various design elements are used as the central criteria to determine the linear/painterly characteristics in dress representations. Finally, the multiplicity/unity can be found in the relationship between the whole and the parts. Multiplicity is represented in dress when the parts have a visual priority over the whole, whereas unity is represented when a dress as a whole has visual priority over the parts. A dress represented with closed form, linear characteristic and multiplicity is perceived as a clear form. In contrast, a dress with open form, painterly characteristic and unity is understood to be an obscure form. It can be said that this study is the first attempt to establish the formative perspectives for analyzing the form of dress in various periods, cultures and races for the future studies.

• Journal of the Korean Association of Geographic Information Studies
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• 제21권1호
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• pp.57-70
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• 2018

The advancement and the spread of information and communication technology (ICT) changes the way we live and act. Computer and ICT devices become smaller and invisible, and they are now virtually everywhere in the world. Many socio-economic activities are now subject to the use of computer and ICT devices although we don't really recognize it. Various socio economic activities supported by digital devices leave digital records, and a myriad of these records becomes what we call'big data'. Big data differ from conventional data we have collected and managed in that it holds more detailed information of socio-economic activities. Thus, they offer not only new insight for our society and but also new opportunity for policy analysis. However, the use of big data requires development of new methods and tools as well as consideration of institutional issues such as privacy. The goals of this research are twofold. Firstly, it aims to understand the opportunities and challenges of using big data for planning support. Big data indeed is a big sum of microscopic and dynamic data, and this challenges conventional analytical methods and planning support tools. Secondly, it seeks to suggest ways of visualizing such spatial big data for planning support. In this regards, this study attempts to develop a dynamic visualization model and conducts an experimental case study with mobile phone big data for the Jeju island. Since the off-the-shelf commercial software for the analysis of spatial big data is not yet commonly available, the roles of open source software and computer programming are important. This research presents a pilot model of dynamic visualization for spatial big data, as well as results from them. Then, the study concludes with future studies and implications to promote the use of spatial big data in urban planning field.

• Journal of Korean Home Economics Education Association
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• 제29권3호
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• pp.161-183
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• 2017

The purpose of this study is to develop a concept map in a visual instructional strategy so that meaningful learning can be done by structuring knowledge in the section of eco-friendly clothing life and reform clothes. For this purpose, ten textbooks for the 2009 revised were analyzed, and 10 sub-area were selected to develop the concept map. The development was done by using Cmap Tools V6.02 and the study process has progressed content analysis, concept extraction, and concept map development. The analysis process and results of this study are as follows. First, in the course of setting standards, the analytical standards were set for the 2007 revision and 2009 revision curriculum achievement standards. Second, in the process of content analysis and concept extracting, through the analysis of textbooks, 'clothing selection and purchase', 'clothing care and management' and 'clothing reuse and eco-friendly'. The concept was extracted by subdividing on the basis of general and comprehensive core concepts. Third, the development process of concept map was developed and revised based on the extracted concepts, and the concept map developed was the 'clothing purchase plan', 'points to consider when buying clothing' 'quality', 'handle with care', 'classify laundry', 'remove stain', 'water washing', 'repair clothing', 'reform clothing', 'eco-friendly clothing life'.

• Journal of Practical Engineering Education
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• 제13권2호
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• pp.327-332
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• 2021

Materials used for education include SM20C, Al6061, and acrylic. SM20C materials are used a lot in certification tests and functional competitions as carbon steel, but they are also used in industrial sites. Al6061 is said to be a material that produces a lot of tools because it has lower hardness than carbon steel and is highly flexible. When practical guidance is given to students using acrylic materials, it is a material that causes vibration and tool damage due to excessive cutting. In this process, we examine how impact on the 5-axis equipment 2NC head can affect precision control. The weakest part of a five-axis equipment is the head that controls the AC axis. In the event of precision and cumulative tolerances in this area, the precision of all products is reduced. Thus, a key part of the 2NC head, the spindle housing was carried out using Al7075 T6 (U.S. Alcoasa) material and the entire body using FCD450 (spherical graphite cast iron). In the vibration and cutting process acting on these two materials, the analysis was carried out to determine the value of applying the force as a finite element analysis under extreme conditions. We hope that using these analytical data will help students see and understand the structure of 5-axis machining rather than 5-axis cutting.

• Journal of Korea Entertainment Industry Association
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• 제14권3호
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• pp.267-275
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• 2020

Even ordinary-looking plays can have a profound meaning. Based on this assumption, Eugene Pink (1960) has established an analytical model of play with five elements, namely "delight", "meaning", "community", "rules" and "tools." It was an effort to reflect on the true meaning of play beyond the cortical entertaining nature of play. In this study, it was carried out that all the texts containing images and performance from the EBS character "Pengsu" were selected, since he emerged as a new star in 2019. And also his play structure was analyzed by applying the Pink's model. As a result, Pengsu's play structure was confirmed to be systematic and complete as a play prototype because it was well-organized with five elements of play. It was regarded as a successful character that skillfully attracts participants to the play world. Among the components of the play, "fun" was found to be his funny appearance, sudden and unconventional behavior, "meaning" was the elimination of authoritarianism, self-esteeming and energizing, "community" was a multi-platform media user who crossed off-on-line, analog-digital-line, "rules" was to set his concept fixed as a young stranger with an ego to unreveal his identity, and "tools" was shown as his character itself and continual discourse. It shows that until now, Pengsu has a social net function of quite spreading the positive meaning of encouragement and comfort, advice and guide, consideration and forgiveness, introspection and nirvana to all members of our society, including the youth who are struggling with uncertainty and anxiety by showing rather exaggerated and stimulating performance that precisely combines these play elements.

• Analytical Science and Technology
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• 제24권6호
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• pp.510-518
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• 2011

Recent developments and improvements of multiple technological elements including mass spectrometry (MS) instrument, multi-dimensional chromatographic separation, and software tools processing MS data resulted in benefits of large scale proteomics analysis. However, its throughput is limited by the speed and reproducibility of the protein digestion process. In this study, we demonstrated a new method for rapid proteolytic digestion of proteins using acoustic technology. Tryptic digests of BSA prepared at various conditions by super acoustic for optimization time and intensity were analyzed by LC-MS/MS showed higher sequence coverage in compared with traditional 16 hrs digestion method. The method was applied successfully for complex proteins of a breast cancer cells at 30 min of digestion at intensity 2. This new application reduces time-consuming of sample preparation with better efficiency, even with large amount of proteins, and increases high-throughput process in sample preparation state.

• Analytical Science and Technology
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• 제27권3호
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• pp.161-166
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• 2014

Currently oxidation-reduction titration method for the assay method using the hazardous reagent, carbon tetrachloride, for cefroxadine capsules has been used in Korean Pharmaceutical Codex. We developed and validated an alternative HPLC assay method by substituting the use of the hazardous reagent, carbon tetrachloride, to the use of less toxic ones like acetonitrile. The linearity of the calibration curves in the desired concentration range was good ($r^2$ > 0.999). Relative standard deviations of intra-day precision were ranged between 0.30% and 0.69% and inter-day precision were ranged between 0.47% and 0.82%. Accuracy was obtained with recoveries in range of 100.20% and 100.56%. Developed method was applied to the determination of cefroxadine in commercial cefroxadine capsule and could be expected to become valuable tools for revising the Korean Pharmaceutical Codex.

• YAKHAK HOEJI
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• 제55권2호
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• pp.106-115
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• 2011

Systematic toxicological analysis (STA) means the process for general unknown screening of drugs and toxic compounds in biological fluids. In order to establish STA, in previous study we investigated pattern of drugs & poisons in autopsy cases during 2007~2009 in Korea, and finally selected 62 drugs as target drugs for STA. In this study, rapid and simple drug identification and quantitative analytical program by gas chromatography-mass spectrometry(GC-MS) was developed. The in-house program, "DrugMan", consisted of modified chemstation data analysis menu and newly developed macro modules. Total 55 drugs among 62 target drugs were applied to this program, they were 14 antidepressants, 8 anti-histamines, 5 sedatives/hypnotics, 5 narcotic analgesics, 3 antipsychotic drugs, and etc. For calibration curves, fifty five drugs were divided into four groups of range considering their therapeutic or toxic concentrations in blood specimen, i.e. 0.05~1 mg/l, 0.1~1 mg/l, 0.1~5 mg/l or 0.5~10 mg/l. Standards spiked bloods were extracted by solid-phase extraction (SPE) with trimipramine-D3 as internal standard. Parameters such as retention times, 3 mass fragment ions, and calibration curves for each drug were registered to DrugMan. A series of identification, semi quantitation of target drugs and reporting the results were performed automatically. Calibration curves for most drugs were linear with correlation coefficients exceeding 0.98. Sensitivity rate of DrugMan was 0.90 (90%) for 55 drugs at the level of 0.5 mg/l. For standard spiked bloods at the level of 0.5 mg/l for 29 drugs, semi quantitative concentrations were ranged 0.36~0.64 mg/l by DrugMan. If more drugs are registered to database in DrugMan in further study, it will be useful tools for STA in forensic toxicology.