• Title/Summary/Keyword: system response

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Diagnosing Hepatocellular Carcinoma Using Sonazoid Contrast-Enhanced Ultrasonography: 2023 Guidelines From the Korean Society of Radiology and the Korean Society of Abdominal Radiology

  • Woo Kyoung Jeong;Hyo-Jin Kang;Sang Hyun Choi;Mi-Suk Park;Mi Hye Yu;Bohyun Kim;Myung-Won You;Sanghyeok Lim;Young Seo Cho;Min Woo Lee;Jeong Ah Hwang;Jae Young Lee;Jung Hoon Kim;Ijin Joo;Jae Seok Bae;So Yeon Kim;Yong Eun Chung;Dong Hwan Kim;Jeong Min Lee
    • Korean Journal of Radiology
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    • v.24 no.6
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    • pp.482-497
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    • 2023
  • Sonazoid, a second-generation ultrasound contrast agent, was introduced for the diagnosis of hepatic nodules. To clarify the issues with Sonazoid contrast-enhanced ultrasonography for the diagnosis of hepatocellular carcinoma (HCC), the Korean Society of Radiology and Korean Society of Abdominal Radiology collaborated on the guidelines. The guidelines are de novo, evidence-based, and selected using an electronic voting system for consensus. These include imaging protocols, diagnostic criteria for HCC, diagnostic value for lesions that are inconclusive on other imaging results, differentiation from non-HCC malignancies, surveillance of HCC, and treatment response after locoregional and systemic treatment for HCC.

Use of Imaging and Biopsy in Prostate Cancer Diagnosis: A Survey From the Asian Prostate Imaging Working Group

  • Li-Jen Wang;Masahiro Jinzaki;Cher Heng Tan;Young Taik Oh;Hiroshi Shinmoto;Chau Hung Lee;Nayana U. Patel;Silvia D. Chang;Antonio C. Westphalen;Chan Kyo Kim
    • Korean Journal of Radiology
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    • v.24 no.11
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    • pp.1102-1113
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    • 2023
  • Objective: To elucidate the use of radiological studies, including nuclear medicine, and biopsy for the diagnosis and staging of prostate cancer (PCA) in clinical practice and understand the current status of PCA in Asian countries via an international survey. Materials and Methods: The Asian Prostate Imaging Working Group designed a survey questionnaire with four domains focused on prostate magnetic resonance imaging (MRI), other prostate imaging, prostate biopsy, and PCA backgrounds. The questionnaire was sent to 111 members of professional affiliations in Korea, Japan, Singapore, and Taiwan who were representatives of their working hospitals, and their responses were analyzed. Results: This survey had a response rate of 97.3% (108/111). The rates of using 3T scanners, antispasmodic agents, laxative drugs, and prostate imaging-reporting and data system reporting for prostate MRI were 21.6%-78.9%, 22.2%-84.2%, 2.3%-26.3%, and 59.5%-100%, respectively. Respondents reported using the highest b-values of 800-2000 sec/mm2 and fields of view of 9-30 cm. The prostate MRI examinations per month ranged from 1 to 600, and they were most commonly indicated for biopsy-naïve patients suspected of PCA in Japan and Singapore and staging of proven PCA in Korea and Taiwan. The most commonly used radiotracers for prostate positron emission tomography are prostate-specific membrane antigen in Singapore and fluorodeoxyglucose in three other countries. The most common timing for prostate MRI was before biopsy (29.9%). Prostate-targeted biopsies were performed in 63.8% of hospitals, usually by MRI-ultrasound fusion approach. The most common presentation was localized PCA in all four countries, and it was usually treated with radical prostatectomy. Conclusion: This survey showed the diverse technical details and the availability of imaging and biopsy in the evaluation of PCA. This suggests the need for an educational program for Asian radiologists to promote standardized evidence-based imaging approaches for the diagnosis and staging of PCA.

Current Status and Improvement Measures for Records Management in the National Assembly Member's Office: Focusing on the Perception of the National Assembly Aides (국회의원실 기록관리의 현황과 개선방안 - 보좌직원의 인식을 중심으로 -)

  • Yeonhee Jang;Eun-Ha Youn
    • Journal of Korean Society of Archives and Records Management
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    • v.24 no.1
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    • pp.187-204
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    • 2024
  • This study was conducted to examine the current status of record management in parliamentary offices and identify areas of improvement. For this, in-depth interviews were conducted primarily with parliamentary aides to investigate their perceptions and needs. The research revealed that although the responsibility for record management in parliamentary offices lies with the aides, systematic record management is lacking because of inadequate awareness. While some aides recognize the importance of record management, there is still a need for a change in perception and practice. Furthermore, the study found that there is a lack of systematic education and support for effective implementation. The perceptions of aides were classified into three types: proactive (type A), pragmatically adaptive (type B), and those emphasizing the specificity of parliamentary records (type C). In particular, the change in perception of aides in types B and C is crucial, considering their pivotal role in parliamentary office record management. In response, this study suggests education and awareness improvement programs for record management, the introduction of an integrated record management system, and the establishment of policy and institutional support as key tasks.

Analysis of characteristics of out-of-hospital cardiac arrest patients by region in Chungcheong buk-do (충청북도 내 지역별 병원 전 심장정지 환자의 특성에 대한 분석)

  • Seong Bin Im;Hyeon Mo Yang;Young Jae Kim
    • Smart Media Journal
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    • v.13 no.5
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    • pp.33-44
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    • 2024
  • Chungbuk has various regional characteristics in terms of population composition by region, industrial facilities, and distribution of emergency medical institutions. However, there are no studies yet that have analyzed regional characteristic factors related to the occurrence characteristics of cardiac arrest patients. Therefore, this study provided basic data to establish a response system for OHCA patients suitable for the characteristics of the Chungcheongbuk-do region by analyzing the characteristics of OHCA patients and the transfer status of 119 paramedics in Chungcheongbuk-do. This study is a retrospective study that analyzed 1,188 cardiac arrest patients transferred by ambulance based on raw data from the survey on acute cardiac arrest in Chungbuk (2020). There are a total of 11 emergency medical institutions in Chungbuk-do, which are concentrated in city-level areas, so the transfer time of patients to hospitals in county-level areas was delayed. In the county-level area, the frequency of dispatch of special paramedics was relatively small, and the frequency of administration of cardiac arrest drugs to help resuscitate cardiac arrest patients was also low. In conclusion, efforts should be made to improve accessibility of emergency medical services (deployment of emergency vehicles in marginal areas, proper placement of emergency medical institutions, etc.), to promote prevention of traumatic cardiac arrest patients, and to expand the scope of work to strengthen the first aid expertise of paramedics.

Enhancing Throughput and Reducing Network Load in Central Bank Digital Currency Systems using Reinforcement Learning (강화학습 기반의 CBDC 처리량 및 네트워크 부하 문제 해결 기술)

  • Yeon Joo Lee;Hobin Jang;Sujung Jo;GyeHyun Jang;Geontae Noh;Ik Rae Jeong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.1
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    • pp.129-141
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    • 2024
  • Amidst the acceleration of digital transformation across various sectors, the financial market is increasingly focusing on the development of digital and electronic payment methods, including currency. Among these, Central Bank Digital Currencies (CBDC) are emerging as future digital currencies that could replace physical cash. They are stable, not subject to value fluctuation, and can be exchanged one-to-one with existing physical currencies. Recently, both domestic and international efforts are underway in researching and developing CBDCs. However, current CBDC systems face scalability issues such as delays in processing large transactions, response times, and network congestion. To build a universal CBDC system, it is crucial to resolve these scalability issues, including the low throughput and network overload problems inherent in existing blockchain technologies. Therefore, this study proposes a solution based on reinforcement learning for handling large-scale data in a CBDC environment, aiming to improve throughput and reduce network congestion. The proposed technology can increase throughput by more than 64 times and reduce network congestion by over 20% compared to existing systems.

Research on Establishing Ground Digital Twin Geo-ambulance Technology Development Strategy (지상 디지털트윈 지오앰뷸런스 기술개발전략 수립 연구)

  • Min-Song SEO;Yong-Gu JANG;Ryu-Ji SONG
    • Journal of the Korean Association of Geographic Information Studies
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    • v.27 no.1
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    • pp.41-51
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    • 2024
  • If an underground accident occurs, the cause must be quickly identified and human and material damage reduced. The Underground Accident Investigation Committee is responsible for identifying the causes of accidents and preparing response plans to prevent similar accidents from occurring in the future. The law stipulates that the Underground Accident Investigation Committee can operate from a minimum of 6 months to a maximum of 9 months after an accident occurs. However, the operation schedule of the Underground Accident Investigation Committee seems difficult to cite the accident investigation report to the construction project currently in progress at the same time project. In this study, the Underground Accident Investigation Committee seeks to establish a strategy for developing technology that can shorten data collection and analysis, which previously took 3 months, to less than 1 month. As a result of the research, five areas of technology development identified, ground data collection and transmission technology, ground safety data generation technology, digital twin-based underground safety analysis and visualization technology, digital twin-based geo-ambulance construction and operation technology, and digital twin-based geo-ambulance standardization and legal system. research was able to be conducted. If the proposed technology is developed, it is expected to contribute to reducing accident scenes through faster decision making than before.

A Study on Impact of Factors Influencing Maritime Freight Rates Using Poisson and Negative Binomial Regression Analysis on Blank Sailings of Shipping Companies (포아송 및 음이항 회귀분석을 이용한 해상운임 결정요인이 해운선사의 블랭크 세일링에 미치는 영향 분석 연구)

  • Won-Hyeong Ryu;Hyung-Sik Nam
    • Journal of Navigation and Port Research
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    • v.48 no.1
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    • pp.62-77
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    • 2024
  • In the maritime shipping industry, imbalance between supply and demand has persistently increased, leading to the utilization of blank sailings by major shipping companies worldwide as a key means of flexibly adjusting vessel capacity in response to shipping market conditions. Traditionally, blank sailings have been frequently implemented around the Chinese New Year period. However, due to unique circumstances such as the global pandemic starting in 2020 and trade tensions between the United States and China, shipping companies have recently conducted larger-scale blank sailings compared to the past. As blank sailings directly impact freight transport delays, they can have negative repercussions from perspectives of both businesses and consumers. Therefore, this study employed Poisson regression models and negative binomial regression models to analyze the influence of maritime freight rate determinants on shipping companies' decisions regarding blank sailings, aiming to proactively address potential consequences. Results of the analysis indicated that, in Poisson regression analysis for 2M, significant variables included global container shipping volume, container vessel capacity, container ship scrapping volume, container ship newbuilding index, and OECD inflation. In negative binomial regression analysis, ocean alliance showed significance with global container shipping volume and container ship order volume, the alliance with container ship capacity and interest rates, non-alliance with international oil prices, global supply chain pressure index, container ship capacity, OECD inflation, and total alliance with container ship capacity and interest rates.

A Study on Trends of Key Issues in Port Safety at Busan Port (부산항 항만안전 주요 이슈 동향에 관한 연구)

  • Jeong-Min Lee;Do-Yeon Ha;Joo-Hye Kim
    • Journal of Navigation and Port Research
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    • v.48 no.1
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    • pp.34-48
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    • 2024
  • As global supply chain risks proliferate unpredictably, the high interdependence of port and logistics industry intensifies the risk burden. This study conducted fundamental research to explore diverse safety issues in domestic ports. Utilizing news article data about Busan Port, we employed LDA topic modeling and time-series linear regression to understand key safety trends. Over the past 30 years, Busan Port faced nine major safety issues-maritime safety, import cargo inspection, labor strikes, and natural disasters emerged cyclically. Major port safety issues in Busan Port are primarily characterized by an unpredictable nature, falling under socio-environmental and natural phenomena types, indicating a significant impact of global uncertainty. Therefore, systematic policies need to be formulated based on identified port safety issues to enhance port safety in Busan Port. Additionally, there is a need to strengthen the resilience of port safety for unpredictable risk situations. In conclusion, advanced research activities are necessary to promote port safety enhancement in response to dynamically changing social conditions.

Research on APC Verification for Disaster Victims and Vulnerable Facilities (재난약자 및 취약시설에 대한 APC실증에 관한 연구)

  • Seungyong Kim;Incheol Hwang;Dongsik Kim;Jungjae Shin;Seunggap Yong
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.199-205
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    • 2024
  • Purpose: This study aims to improve the recognition rate of Auto People Counting (APC) in accurately identifying and providing information on remaining evacuees in disaster-vulnerable facilities such as nursing homes to firefighting and other response agencies in the event of a disaster. Methods: In this study, a baseline model was established using CNN (Convolutional Neural Network) models to improve the algorithm for recognizing images of incoming and outgoing individuals through cameras installed in actual disaster-vulnerable facilities operating APC systems. Various algorithms were analyzed, and the top seven candidates were selected. The research was conducted by utilizing transfer learning models to select the optimal algorithm with the best performance. Results: Experiment results confirmed the precision and recall of Densenet201 and Resnet152v2 models, which exhibited the best performance in terms of time and accuracy. It was observed that both models demonstrated 100% accuracy for all labels, with Densenet201 model showing superior performance. Conclusion: The optimal algorithm applicable to APC among various artificial intelligence algorithms was selected. Further research on algorithm analysis and learning is required to accurately identify the incoming and outgoing individuals in disaster-vulnerable facilities in various disaster situations such as emergencies in the future.

Shading Treatment-Induced Changes in Physiological Characteristics of Thermopsis lupinoides (L.) Link (차광처리에 따른 갯활량나물의 생리 특성)

  • Seungju Jo;Dong-Hak Kim;Jung-Won Yoon;Eun Ju Cheong
    • Journal of Korean Society of Forest Science
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    • v.113 no.2
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    • pp.198-209
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    • 2024
  • This study aimed to investigate the impact of light intensity, manipulated through different shading levels, on the growth and physiological responses of Thermopsis lupinoides. To assess the effects of shading treatments, we examined leaf mass per area, chlorophyll content, chlorophyll fluorescence response, and photosynthetic characteristics. T. lupinoidesexhibited adaptive responses under low light conditions (50% shading), showing increased leaf area and decreased leaf mass per area as shading levels increased. These changes indicate morpho-physiological adaptations to reduced light availability. At 50% shading, the physiological and ecological responses were favorable, with optimal photosynthetic functions including chlorophyll content, photosynthesis saturation point, photosynthetic rate, carbon fixation efficiency, stomatal conductance, transpiration rate, and water use efficiency. However, at 95% shading, the essential light conditions for growth were not met, significantly impairing photosynthetic functions. Consequently, 50% shading was determined to be the most optimal condition for T. lupinoides growth. These findings provide valuable insights for effective ex-situconservation practices and site selection for T. lupinoides, serving as foundational data for habitat restoration efforts.