• Title/Summary/Keyword: Indicator Analysis

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Analysis of the Current Status and Proposals for Policy Tasks of Public Libraries in Daegu City (대구시 공공도서관 현황 분석 및 정책과제 제안)

  • Hee-Yoon Yoon;Seon-Kyung Oh
    • Journal of Korean Library and Information Science Society
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    • v.54 no.2
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    • pp.43-65
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    • 2023
  • The purpose of all public libraries is to provide knowledge and information services for the intellectual and reading activities of local residents, program services that provide opportunities for cultural enjoyment and lifelong learning, and third-party spaces and facilities that contribute to the development of the community. To this end, social needs must be reflected in a timely manner with the establishment of a sound infrastructure as a prerequisite. This study analyzed the current status centered on key indicators of the public libraries in Daegu City and presented policy issues that need to be improved through a survey. The key indicators in Daegu City, compared to the national average, were not only significantly weak for the 3rd largest city but also showed considerable variation among local governments. While Daegu citizens valued public libraries in their daily lives, the dissatisfaction rate was high in the order of transportation inconvenience, lack of necessary materials and desired programs, and various regulations. Therefore, Daegu City should focus on increasing the acquisition budget, strengthening the development of new book collections, expanding the number of librarians, expanding the construction of public libraries to address service disparities among local governments, improving accessibility, and addressing factors that hinder usage. In addition, with the establishment and operation of the Daegu Library in 2024, efforts should be made to establish an operational system for public libraries, expand the scope through collaborative partnerships with other knowledge and cultural institutions, and enhance knowledge and cultural services for the Daegu citizen.

Deep Neural Network Analysis System by Visualizing Accumulated Weight Changes (누적 가중치 변화의 시각화를 통한 심층 신경망 분석시스템)

  • Taelin Yang;Jinho Park
    • Journal of the Korea Computer Graphics Society
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    • v.29 no.3
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    • pp.85-92
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    • 2023
  • Recently, interest in artificial intelligence has increased due to the development of artificial intelligence fields such as ChatGPT and self-driving cars. However, there are still many unknown elements in training process of artificial intelligence, so that optimizing the model requires more time and effort than it needs. Therefore, there is a need for a tool or methodology that can analyze the weight changes during the training process of artificial intelligence and help out understatnding those changes. In this research, I propose a visualization system which helps people to understand the accumulated weight changes. The system calculates the weights for each training period to accumulates weight changes and stores accumulated weight changes to plot them in 3D space. This research will allow us to explore different aspect of artificial intelligence learning process, such as understanding how the model get trained and providing us an indicator on which hyperparameters should be changed for better performance. These attempts are expected to explore better in artificial intelligence learning process that is still considered as unknown and contribute to the development and application of artificial intelligence models.

Study on Quality Changes Caused by Rancidity and Methods to Reduce Rancidity for Domestically Distributed Herbal Medicines (유통 한약재의 산패에 따른 품질변화 및 산패 저감화 연구)

  • Young-Ae Park;Suk-Kyung Ko;Hyun-Kyung Lee;Eun-Jung Choi;Sung-Cho Hong;Yun-Seon Park;Ji-Hun Jung;Ju-Sung Park;Yong-Seung Shin
    • Korean Journal of Pharmacognosy
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    • v.54 no.2
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    • pp.80-87
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    • 2023
  • Rancidity changes were examined for 6 herbal medicines, namely Persicae Semen, Armeniacae Semen, Lini Semen, Trichosanthis Semen, Arecae Semen, Myristicae Semen known to have relatively high fat content. In order to reduce rancidity of herbal medicines, samples were stored at 3 different conditions of room, refrigerating and freezing temperatures, and the rancidity was measured for 10 months with every 2 month interval. Fat content was extracted by using ethyl ether, and acid values and peroxide values, which are generally accepted indicators of fat rancidity, were measured. When storing Persicae Semen, Lini Semen and Arecae Semen at room temperature, the acid values increased as the storage period increased, and it was higher than when stored in refrigeration or freezing. The measurement of peroxide value showed more significantly higher initial degree of rancidity when Persicae Semen, Trichosanthis Semen, Arecae Semen and Myristicae Semen were stored at room temperature. It was observed that storing herbal medicines in refrigeration or freezing inhibited their rancidity compared to storing them at room temperature. To investigate the quality changes according to rancidity, the analysis of aflatoxins and indicator components showed that aflatoxins B1 and B2 were detected in Armeniacae Semen, Arecae Semen and Myristicae Semen, and the amount of amygdalin was well maintained within the specification standard.

Heavy Snow Vulnerability in South Korea Using PSR and DPSIR Methods (PSR과 DPSIR을 이용한 대한민국 대설 취약성 분석)

  • Keunwoo Lee;Hyeongjoo Lee;Gunhui Chung
    • Journal of Wetlands Research
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    • v.25 no.4
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    • pp.345-352
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    • 2023
  • Recently, the risk of snow disasters has been increasing South Korea. The damages of heavy snow were categorized into direct and indirect. Direct damage is usually the collapse of buildings as houses, greenhouse or barns. Indirect damage is various, for example, traffic congestion, traffic acident, drop damage, and so on. In South Korea, direct damage is severe in rural area, mosty collapse of greenhouse or barns. However, indirect damage such as traffic accident is mostly occurred in urban area. Therefore, the regional characteristics should be considered when vulnerability is evaluated. Therefore, in this study, the PSR and DPSIR method were applied by regional scale in South Korea. The PSR evaluation method is divided into pressure, state, and reaction index. however, the DPSIR evaluation method is divided into Driving force, Pressure, State, Impact, and Response index. the DPSIR evaluation method is divided into Driving force, Pressure, State, Impact, and Response index. Data corresponding to each indicator were collected, and the weight was calculated using the entropy method to calculate the snowfall vulnerability index by regional scale in South Korea. Calculated heavy snow damage vulnerabilities from the two methods were compared. The calculated vulnerabilities were validated using the recent snow damage in South Korea from 2018 to 2022. Snow vulnerability index calculated using the DPSIR method showed more reliable results. The results of this study could be utilized as an information to prepare the mitigation of heavy snow damage and to establish an efficient snow removal response system.

A Study on the Relationship between Health Equity and Subjective Health Status of Adolescents (청소년의 건강 형평성과 주관적 건강상태와의 관계 연구)

  • Kyung-Shin Paek
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.6
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    • pp.864-873
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    • 2022
  • The subjective health status of adolescence reflects one's overall socio-emotional function and is an important factor in determining the health-related quality of life during this period. This study was to identify the correlation between subjective health status and health equity of adolescents. Data from the 16th online survey of youth health behavior (2020) was used to analyze 39,987 adolescents. Health equity was used as indicator for residential areas, economic conditions perceived by students, household abundance, family type, and parental education. Subjective health status was classified as a healthy group("very healthy", "healthy") and unhealthy group("normal", "unhealthy", and "very unhealthy") in response to the question "how do you think your health is usually?" The data were analyzed using complex sample analysis by using SPSS/Win 22.0. Significant factors related to the subjective health status of subjects were the area of residence (OR=0.86, p=.031), economic level (OR=1.33-2.09, p<.001), and family type (OR=1.24, p=.033). The economic level perceived by adolescents was the most important variable related to the subjective health status of adolescents, and adolescents from multicultural families often perceived their health as unhealthy compared to adolescents from general families. Therefore, there is a need for continuous interest in adolescents with low economic levels and adolescents from multicultural families and specific strategies to improve their health status.

Performance Analysis of GPS and QZSS Orbit Determination using Pseudo Ranges and Precise Dynamic Model (의사거리 관측값과 정밀동역학모델을 이용한 GPS와 QZSS 궤도결정 성능 분석)

  • Beomsoo Kim;Jeongrae Kim;Sungchun Bu;Chulsoo Lee
    • Journal of Advanced Navigation Technology
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    • v.26 no.6
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    • pp.404-411
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    • 2022
  • The main function in operating the satellite navigation system is to accurately determine the orbit of the navigation satellite and transmit it as a navigation message. In this study, we developed software to determine the orbit of a navigation satellite by combining an extended Kalman filter and an accurate dynamic model. Global positioning system (GPS) and quasi-zenith satellite system (QZSS) orbit determination was performed using international gnss system (IGS) ground station observations and user range error (URE), a key performance indicator of the navigation system, was calculated by comparison with IGS precise ephemeris. When estimating the clock error mounted on the navigation satellite, the radial orbital error and the clock error have a high inverse correlation, which cancel each other out, and the standard deviations of the URE of GPS and QZSS are small namely 1.99 m and 3.47 m, respectively. Instead of estimating the clock error of the navigation satellite, the orbit was determined by replacing the clock error of the navigation message with a modeled value, and the regional correlation with URE and the effect of the ground station arrangement were analyzed.

CD5 Expression Dynamically Changes During the Differentiation of Human CD8+ T Cells Predicting Clinical Response to Immunotherapy

  • Young Ju Kim;Kyung Na Rho;Saei Jeong;Gil-Woo Lee;Hee-Ok Kim;Hyun-Ju Cho;Woo Kyun Bae;In-Jae Oh;Sung-Woo Lee;Jae-Ho Cho
    • IMMUNE NETWORK
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    • v.23 no.4
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    • pp.35.1-35.16
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    • 2023
  • Defining the molecular dynamics associated with T cell differentiation enhances our understanding of T cell biology and opens up new possibilities for clinical implications. In this study, we investigated the dynamics of CD5 expression in CD8+ T cell differentiation and explored its potential clinical uses. Using PBMCs from 29 healthy donors, we observed a stepwise decrease in CD5 expression as CD8+ T cells progressed through the differentiation stages. Interestingly, we found that CD5 expression was initially upregulated in response to T cell receptor stimulation, but diminished as the cells underwent proliferation, potentially explaining the differentiation-associated CD5 downregulation. Based on the proliferation-dependent downregulation of CD5, we hypothesized that relative CD5 expression could serve as a marker to distinguish the heterogeneous CD8+ T cell population based on their proliferation history. In support of this, we demonstrated that effector memory CD8+ T cells with higher CD5 expression exhibited phenotypic and functional characteristics resembling less differentiated cells compared to those with lower CD5 expression. Furthermore, in the retrospective analysis of PBMCs from 30 non-small cell lung cancer patients, we found that patients with higher CD5 expression in effector memory T cells displayed CD8+ T cells with a phenotype closer to the less differentiated cells, leading to favorable clinical outcomes in response to immune checkpoint inhibitor (ICI) therapy. These findings highlight the dynamics of CD5 expression as an indicator of CD8+ T cell differentiation status, and have implications for the development of predictive biomarker for ICI therapy.

Establishment of a quality index of surfactin production during cheonggukjang fermentation (청국장 발효 중 surfactin 생산량 품질지표 설정)

  • Chang-Geun Ji;Jeong-Hwa Hong;Sang-Hyun Lee
    • Food Science and Preservation
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    • v.30 no.2
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    • pp.311-320
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    • 2023
  • Surfactin, one of the most powerful biosurfactants, can be widely applied in agriculture, food, and pharmaceutics. The purpose of the present study was to establish suitable indicators for a rapid detection method that can confirm the surfactin productivity of cheonggukjang. In the present study, changes in the total number of bacteria were quantified according to the fermentation time of chenggukjang. Furthermore, physicochemical factors, such as pH, color value, surface tension, refractive index, absorbance, and protein contents, were assessed in chenggukjang viscous substances, and a correlation analysis between the physicochemical factors and surfactin contents was performed. We found that the protein contents gradually increased up to 48 h (4.21±0.11 mg/mL) without a change in the surface tension. Furthermore, the refractive index, absorbance at 280 nm, and color value were significantly increased as the fermentation time increased; however, there were no statistically significant differences after 36 h of fermentation. Interestingly, this result exhibited a tendency similar to the surfactin content according to fermentation time. These findings suggest that surfactin can be used as a suitable quality indicator and may provide an experimental basis for the fermented food industry.

Prediction of Cognitive Progression in Individuals with Mild Cognitive Impairment Using Radiomics as an Improvement of the ATN System: A Five-Year Follow-Up Study

  • Rao Song;Xiaojia Wu;Huan Liu;Dajing Guo;Lin Tang;Wei Zhang;Junbang Feng;Chuanming Li
    • Korean Journal of Radiology
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    • v.23 no.1
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    • pp.89-100
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    • 2022
  • Objective: To improve the N biomarker in the amyloid/tau/neurodegeneration system by radiomics and study its value for predicting cognitive progression in individuals with mild cognitive impairment (MCI). Materials and Methods: A group of 147 healthy controls (HCs) (72 male; mean age ± standard deviation, 73.7 ± 6.3 years), 197 patients with MCI (114 male; 72.2 ± 7.1 years), and 128 patients with Alzheimer's disease (AD) (74 male; 73.7 ± 8.4 years) were included. Optimal A, T, and N biomarkers for discriminating HC and AD were selected using receiver operating characteristic (ROC) curve analysis. A radiomics model containing comprehensive information of the whole cerebral cortex and deep nuclei was established to create a new N biomarker. Cerebrospinal fluid (CSF) biomarkers were evaluated to determine the optimal A or T biomarkers. All MCI patients were followed up until AD conversion or for at least 60 months. The predictive value of A, T, and the radiomics-based N biomarker for cognitive progression of MCI to AD were analyzed using Kaplan-Meier estimates and the log-rank test. Results: The radiomics-based N biomarker showed an ROC curve area of 0.998 for discriminating between AD and HC. CSF Aβ42 and p-tau proteins were identified as the optimal A and T biomarkers, respectively. For MCI patients on the Alzheimer's continuum, isolated A+ was an indicator of cognitive stability, while abnormalities of T and N, separately or simultaneously, indicated a high risk of progression. For MCI patients with suspected non-Alzheimer's disease pathophysiology, isolated T+ indicated cognitive stability, while the appearance of the radiomics-based N+ indicated a high risk of progression to AD. Conclusion: We proposed a new radiomics-based improved N biomarker that could help identify patients with MCI who are at a higher risk for cognitive progression. In addition, we clarified the value of a single A/T/N biomarker for predicting the cognitive progression of MCI.

Analysis of the Relationship Between the 2022 Revised Middle Science Curriculum and Korean Science Education Standards (KSES) (2022 개정 중학교 과학과 교육과정과 과학교육표준(KSES)의 연관성 분석)

  • Dojun Jung;Minsu Kim
    • Journal of Science Education
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    • v.48 no.1
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    • pp.1-14
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    • 2024
  • The Korean Science Education Standards (KSES) were developed to support the establishment of a domestic national science curriculum to respond to future social and environmental changes as an action plan to improve scientific literacy in the context of science education. In this study, we analyzed the relationship between KSES and the 2022 revised middle science curriculum focusing its learning contents and learning objectives and sought effects of the successful implementation of the curriculum. As a result, the content system of the 2022 revised middle science curriculum was highly related to the categories of knowledge in KSES. Attempts to deal with the content related to the nature of science was also confirmed through content elements in science and society domains. In the case of achievement standards, it was focused on some areas of the performance expectations in KSES, but the level of statement of the achievement standards closely matched the level of middle school students as suggested by KSES. From these results, it was possible to confirm the high relationship between the 2022 revised middle science curriculum and KSES, as well as the possibility of using KSES as an international indicator for establishing future science education plans.