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A Comparative Study on the Regulations on Implantable Bioabsorbable Combination Products -Focusing on the U.S., Europe and Korea- (이식형 흡수성 융복합 의료제품 규제 비교 연구 -미국, 유럽, 한국을 중심으로-)

  • Hyeon Jeong Lee;Mi Hye Kim;Ju Eun Seol;Su Dong Kim;Joo Hee Kim
    • Journal of Biomedical Engineering Research
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    • v.44 no.6
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    • pp.414-427
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    • 2023
  • Implantable bioabsorbable combination products undergo inherent degradation and systemic absorption within the physiological environment, thereby streamlining the therapeutic regimen and obviating the imperative for invasive extraction procedures. This inherent property not only enhances patient convenience and therapeutic efficacy but also underpins a paradigm of support characterized by heightened safety parameters. Within the regulatory landscapes of Korea, the United States, and Europe, implantable bioabsorbable combination products are meticulously classified into distinct categories, either as pharmaceutical implants or as implantable medical devices, depending on their primary mode of action. This scholarly investigation systematically examines the regulatory frameworks governing implantable bioabsorbable combination products in South Korea, the United States, and Europe. Notable discrepancies across national jurisdictions emerge concerning regulatory specifics, including terminology, product classification, and product name associated with these products. The conspicuous absence of standardized approval regulations presents a formidable barrier to the commercialization of these advanced medical devices. This academic discourse passionately emphasizes the critical need for formulating and implementing a sophisticated regulatory framework capable of streamlining the product approval process, thereby paving the way for a seamless path to commercializing implantable bioabsorbable combination products.

A Case Report on Improvement of Chemotherapy-Induced Peripheral Neuropathy and Pantalgia Side Effects with Integrated Cancer Treatment in a Breast Cancer Patient (유방암 환자의 통함 암 치료를 통한 항암화학요법 유발 말초신경병증, 전신통 호전에 대한 증례 보고)

  • Eun-Ji Kim;Hye-ri Bae;Nam-Hun Lee
    • Journal of Korean Traditional Oncology
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    • v.28 no.1
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    • pp.11-24
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    • 2023
  • Objectives: To report the improvement of chemotherapy-induced peripheral neuropathy and pantalgia with integrative cancer treatment on adverse effects of chemotherapy in a breast cancer patient. Methods: A 63-year-old female patient who has been diagnosed with breast cancer got treated for 103 days with integrative cancer treatment including acupuncture, moxibustion, herbal medicine, physiotherapies, hand and foot bath to decrease side effects of chemotherapy. The patient was also treated Western immunotherapies like Thymosin, Viscum album. Paclitaxel, Carboplatin, Doxorubicin, Cyclophosphamide was applied and chemotherapy-induced peripheral neuropathy(CIPN), pantalgia and nausea occured. The efficacy of treatment was measured by a numeric rating scale(NRS) of symptoms, National Cancer Institute Common Terminology Criteria for Adverse Event(NCI-CTCAE) and Eastern Cooperative Oncology Group(ECOG) Performance Status Scale. Results: The NRS scroes for CIPN, pantalgia, nausea were improved. There was no adverse effects of 3 or higher assessed by the NCI-CTCAE. The ECOG grade improved from grade 2 to 1. Conclusions: This study suggests that integrative cancer treatment could improve CIPN, pantalgia after chemotherapy in breast cancer.

Analyzing Teachers' Educational Needs to Strengthen AI Convergence Education Capabilities (AI 융합교육 역량 강화를 위한 교사의 교육요구도 분석)

  • JaMee Kim;Yong Kim
    • Journal of Internet Computing and Services
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    • v.24 no.5
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    • pp.121-130
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    • 2023
  • In the school field, AI convergence education is recommended, which utilizes AI in education to change the paradigm of society. This study was conducted to define the terms of AI and AI convergence education to minimize the confusion of terms and to analyze the educational needs of teachers from the perspective of conducting AI convergence education. To achieve the purpose, 19 experts' opinions were collected, and a self-administered questionnaire was administered to 125 secondary school teachers enrolled in the AI convergence major at the Graduate School of Education. As a result of the analysis, the experts defined AI convergence education as a methodology for problem solving, not AI-based or utilization education. In the analysis of teachers' educational needs, "AI and big data" was ranked first, followed by "AI convergence education methodology" and "learning practice using AI". The significance of this study is that it defined the terminology by collecting the opinions of experts amidst the confusion of various terms related to AI, and presented the educational direction of AI convergence education for in-service teachers.

A Deep Learning Model to Predict BIM Execution Difficulty Based on Bidding Texts in Construction Projects (건설사업 입찰 텍스트의 BIM 수행 난이도 추론을 위한 딥러닝 모델)

  • Kim, Jeongsoo;Moon, Hyounseok;Park, Sangmi
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.6
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    • pp.851-863
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    • 2023
  • The mandatory use of BIM(Building Information Model) in larger Korean public construction projects necessitates participants to have a comprehensive understanding of the relevant procedures and technologies, especially during the bidding stage. However, most small and medium-sized construction and engineering companies possess limited BIM proficiency and understanding. This hampers their ability to recognize bidding requirements and make informed decisions. To address this challenge, our study introduces a method to gauge the complexity of BIM requirements in bidding documents. This is achieved by integrating a morphological analyzer, which encompasses BIM bidding terminology, with a deep learning model. We investigated the effects of the parameters in our proposed deep learning model and examined its predictive validity. The results revealed an F1-score of 0.83 for the test data, indicating that the model's predictions align closely with the actual BIM performance challenges.

A Literature Review on the Stagnation Pattern - Focusing on Liver-Qi Stagnation - (울증(鬱證)에 대한 문헌적 고찰 - 간기울결(肝氣鬱結)을 중심으로 -)

  • Nan Jie;Jeong Chang-hyun;Baik Yousang;Ahn, Jinhee;Jang Woochang
    • Journal of Korean Medical classics
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    • v.37 no.1
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    • pp.57-75
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    • 2024
  • Objectives : The objective of this paper is to study the literature on stagnation pattern, to further determine reasoning for the emphasis on Liver-qi stagnation out of all the Five Zang stagnation patterns. Methods : Stagnation patterns in literature from the Xian-Qin/Liang-Han period, Sui-Tang-Song period, Jin-Yuan period and Ming-Qing period were studied and analyzed. Results & Conclusions : Based on chronological analysis on discussions of stagnation pattern, the Five stagnation in the Neijing were related to the excessiveness and deficiency of the Five circuits. After the discussions of the Four Masters of the Jin-Yuan period, WangAndao explained that stagnation could happen without relation to external contraction in his discussion of Benqiziyubing. Yutuan focused on the inter-relationship between the six stagnation patterns, emphasizing qi stagnation, while Sunyikui discussed stagnation pattern within the framework of the Five Zang stagnation. Zhaoxianke argued for the first time that one of the treatment methods of Wood stagnation could replace the five treatment methods, focusing on Wood stagnation which could be the clue to stagnation pattern. Of current Zangfu diagnostic terminology, the influential Liver qi stagnation remains to this day.

The Systemic Functional Linguistics Analysis of Texts in Elementary Science Textbooks by Curriculum Revision (교육과정 변천에 따른 초등 과학 교과서 텍스트에 대한 체계기능언어학적 분석)

  • Maeng, Seung-Ho;Kim, Hye-Ree;Kim, Chan-Jong;Lee, Jeong-A
    • Journal of The Korean Association For Science Education
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    • v.27 no.3
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    • pp.242-252
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    • 2007
  • This study analyzed the science texts covering 'air pressure' and 'wind' in common with every curriculum from the syllabus period to the $7^{th}$ curriculum in terms of Systemic Functional Linguistics. Important findings revealed in this study were as follows: In the aspect of ideational metafunction, the texts including much scientific information were reduced by curriculum revision. Most forms of information were 'definition' and 'fact' rather than 'principle'. In the aspect of interpersonal metafunction, the gap between students and texts were getting closer and the social position of students were concerned gradually by curriculum revisions. In the aspect of textual metafunction, the ratios of technical terminology and notation were reduced, however the amount of texts in science textbooks were reduced as well. While the subject was presented in the early texts, it was omitted as time went on. The consistency of subject and theme were reduced in the $7^{th}$ curriculum remarkably.

Coexistence Direction of AI and Webtoon Artist

  • Bo-Ra Han
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.2
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    • pp.87-99
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    • 2024
  • This study aims to identify the competencies required for webtoon artists to survive in the future era of AI commercialization. It explores the current and future use of AI in webtoons, and predicts the role of artists in the future webtoon industry. The study finds that AI will replace human workers in some areas, but human empathy-related fields can be sustained. Artist roles like story projectors, Visual directors, and AI editors were identified as potential models for the changing role of artists. To address terminology ambiguity, a three-step AI categorization mechanical type AI, humanoid type AI, and transcendent type AI was proposed for a more realistic separation of AI capabilities. The researcher suggested these findings as guidelines for developing skills in emerging artists or re-skilling existing ones, emphasizing collaboration with AI for mutual growth rather than a negative acceptance of new technology.

Artificial Intelligence and Literary Sensibility (인공지능과 문학 감성의 상호 연결)

  • Seunghee Sone
    • Science of Emotion and Sensibility
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    • v.26 no.4
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    • pp.115-124
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    • 2023
  • This study explores the intersection of literary studies and artificial intelligence (AI), focusing on the common theme of human emotions to foster complementary advancements in both fields. By adopting a comparative perspective, the paper investigates emotion as a shared focal point, analyzing various emotion-related concepts from both literary and AI perspectives. Despite the scarcity of research on the fusion of AI and literary studies, this study pioneers an interdisciplinary approach within the humanities, anticipating future developments in AI. It proposes that literary sensibility can contribute to AI by formalizing subjective literary emotions, thereby enhancing AI's understanding of complex human emotions. This paper's methodology involves the terminology-centered extraction of emotions, aiming to blend subjective imagination with objective technology. This fusion is expected to not only deepen AI's comprehension of human complexities but also broaden literary research by rapidly analyzing diverse human data. The study emphasizes the need for a collaborative dialogue between literature and engineering, recognizing each field's limitations while pursuing a convergent enhancement that transcends these boundaries.

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Similarity Analysis of Sibling Nodes in SNOMED CT Terminology System (SNOMED CT 용어체계에서 형제 노드의 유사도 분석 기법)

  • Woo-Seok Ryu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.295-300
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    • 2024
  • This paper discusses the incompleteness of the SNOMED CT and proposes a noble metric which evaluates similarity among sibling nodes as a method to address this incompleteness. SNOMED CT encompasses an extensive range of medical terms, but it faces issues of ontology incompleteness, such as missing concepts in the hierarchy. We propose a noble metric for evaluating similarity among nodes within a node group, composed of multiple sibling nodes, to identify missing concepts, and identify groups with low similarity. Analyzing the similarity of sibling node groups in the March 2023 international release of SNOMED CT, the average similarity of 29,199 sibling node groups, which are sub-concepts of the clinical finding concept and are consist of two or more sibling nodes, was found to be 0.81. The group with the lowest similarity was associated with child concepts of poisoning, with a similarity of 0.0036.

A Study on Legal and Institutional Improvements for the Digital Transformation of Construction Supervision (건축공사 감리업무의 디지털 전환을 위한 법·제도 개선안 연구)

  • Kim, Su-Na;Kim, Young-Jin;Lee, Woong-Jong;Roh, Young-Sook
    • Journal of the Korea Institute of Building Construction
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    • v.24 no.3
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    • pp.343-354
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    • 2024
  • This study reviewed the existing legal framework governing construction supervision practices and conducted a survey of expert groups to identify and propose strategies for facilitating the digital transformation of construction supervision processes, with the goal of enhancing the quality and safety of construction projects. The research underscored the necessity for digital transformation to improve quality, safety, and efficiency of construction supervision. Additionally, it highlighted the need for greater consistency and clarity in terminology related to construction supervision. The study also presented recommendations for improvement, which included: establishing a structured supervision checklist to ensure safety and compliance, establishing a specialized construction supervision corporations subject to qualification screening, and introducing evaluation criteria to encourage the adoption of digital transformation technologies in construction supervision. The findings of this study are intended to serve as the foundation for future policy and regulatory frameworks aimed at promoting the digital transformation of construction supervision practices.