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  1. Article: Could ChatGPT help you to write your next scientific paper?: concerns on research ethics related to usage of artificial intelligence tools.

    Park, Joo-Young

    Journal of the Korean Association of Oral and Maxillofacial Surgeons

    2023  Volume 49, Issue 3, Page(s) 105–106

    Language English
    Publishing date 2023-07-02
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2763851-0
    ISSN 2234-5930 ; 2234-7550
    ISSN (online) 2234-5930
    ISSN 2234-7550
    DOI 10.5125/jkaoms.2023.49.3.105
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Post-acute infection syndrome after COVID-19: effects on the oral and maxillofacial region and the recent publication trends.

    Park, Joo-Young

    Journal of the Korean Association of Oral and Maxillofacial Surgeons

    2022  Volume 48, Issue 3, Page(s) 131–132

    Language English
    Publishing date 2022-04-01
    Publishing country Korea (South)
    Document type Editorial
    ZDB-ID 2763851-0
    ISSN 2234-5930 ; 2234-7550
    ISSN (online) 2234-5930
    ISSN 2234-7550
    DOI 10.5125/jkaoms.2022.48.3.131
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Autologous blood derived cell therapy in maxillofacial bone graft surgery.

    Park, Joo-Young

    Journal of the Korean Association of Oral and Maxillofacial Surgeons

    2021  Volume 47, Issue 6, Page(s) 480–483

    Abstract: Tissue regeneration is one of the ultimate goals of maxillofacial surgery and various types of tissue engineering technologies have been utilized in clinics. Healthy resources of host cells and growth factors are essential for the tissue engineering, ... ...

    Abstract Tissue regeneration is one of the ultimate goals of maxillofacial surgery and various types of tissue engineering technologies have been utilized in clinics. Healthy resources of host cells and growth factors are essential for the tissue engineering, therefore autologous blood-derived cell therapy was introduced. In this article, clinical applications of the autologous platelet concentrates and stem cell separation therapy will be summarized and evaluated for their efficacy and feasibility in the current maxillofacial clinics.
    Language English
    Publishing date 2021-12-20
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2763851-0
    ISSN 2234-5930 ; 2234-7550
    ISSN (online) 2234-5930
    ISSN 2234-7550
    DOI 10.5125/jkaoms.2021.47.6.480
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Is open peer review, a growing trend in scholarly publishing, a double-edged sword?

    Park, Joo-Young

    Journal of the Korean Association of Oral and Maxillofacial Surgeons

    2020  Volume 46, Issue 5, Page(s) 299–300

    Language English
    Publishing date 2020-10-29
    Publishing country Korea (South)
    Document type Editorial
    ZDB-ID 2763851-0
    ISSN 2234-5930 ; 2234-7550
    ISSN (online) 2234-5930
    ISSN 2234-7550
    DOI 10.5125/jkaoms.2020.46.5.299
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Dataset on passenger acceptance during autonomous ferry public trials: Questionnaires and interviews.

    Veitch, Erik / Alsos, Ole Andreas / Saghafian, Mina / Petermann, Felix-Marcel / Sitompul, Taufik Akbar / Park, Jooyoung

    Data in brief

    2024  Volume 54, Page(s) 110282

    Abstract: This paper presents a dataset from the first public trial of an urban autonomous passenger ferry. The dataset contains questionnaires designed to assess passenger acceptance in terms of perceived safety, trustworthiness, and reliability. Questionnaires ... ...

    Abstract This paper presents a dataset from the first public trial of an urban autonomous passenger ferry. The dataset contains questionnaires designed to assess passenger acceptance in terms of perceived safety, trustworthiness, and reliability. Questionnaires and their responses are paired samples collected before and after use (N = 884). The dataset also contains transcripts of semi-structured interviews on the themes of perceived safety, trustworthiness, and reliability (N = 25). The public trial was held in Trondheim, Norway, during the period September-October 2022. The autonomous ferry used in the trial was the "milliAmpere2," which is owned and operated by the Norwegian University of Science and Technology (NTNU). The data represents a state-of-the-art data collection effort owing to on-site data collection immediately before and after interactions with an Autonomous Vehicle (AV) in a public transportation context. The dataset is suitable for producing quantitative and qualitative analyses and for developing indicators of technology acceptance and related social phenomena regarding AVs, either in the maritime context or beyond.
    Language English
    Publishing date 2024-03-02
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2024.110282
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Updated Review Article: Cyclin-Dependent Kinase 4/6 Inhibitor Impact, FDA Approval, and Resistance Pathways.

    Hunter, Rodney J / Park, Jooyoung / Asprer, Kristen J / Doan, Andrew H

    The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians

    2023  Volume 39, Issue 6, Page(s) 298–308

    Abstract: Objective: ...

    Abstract Objective:
    Language English
    Publishing date 2023-10-24
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 54478-4
    ISSN 8755-1225
    ISSN 8755-1225
    DOI 10.1177/87551225231205153
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3673: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Cytokine receptor γc effectuates the generation of proinflammatory innate CD8 T cells by non-classical MHC-I molecules.

    Won, Hee Yeun / Liman, Nurcin / Park, Joo-Young / Park, Jung-Hyun

    Journal of autoimmunity

    2023  Volume 138, Page(s) 103059

    Abstract: Innate CD8 T cells correspond to a population of terminally differentiated effector T cells that phenotypically appear as antigen-experienced memory cells and functionally resemble proinflammatory CD8 T cells, expressing copious amounts of IFNγ. Innate ... ...

    Abstract Innate CD8 T cells correspond to a population of terminally differentiated effector T cells that phenotypically appear as antigen-experienced memory cells and functionally resemble proinflammatory CD8 T cells, expressing copious amounts of IFNγ. Innate CD8 T cells, however, are distinct from conventional effector-memory CD8 T cells as they acquire functional maturity during their generation in the thymus. Understanding the molecular mechanisms that drive their thymic development and differentiation is an intensely studied subject in T cell immunity, and here we identified the cytokine receptor γc as a critical mediator of innate CD8 T cell generation that promotes their selection even in the absence of classical MHC-I molecules. Consequently, overexpression of γc resulted in a dramatic increase of innate CD8 T cells in K
    MeSH term(s) Mice ; Animals ; Receptors, Cytokine ; Histocompatibility Antigens Class I/genetics ; Interleukin-4 ; Mice, Knockout ; CD8-Positive T-Lymphocytes ; Thymus Gland ; Cell Differentiation ; Natural Killer T-Cells ; Mice, Inbred C57BL
    Chemical Substances Receptors, Cytokine ; Histocompatibility Antigens Class I ; Interleukin-4 (207137-56-2)
    Language English
    Publishing date 2023-05-20
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 639452-8
    ISSN 1095-9157 ; 0896-8411
    ISSN (online) 1095-9157
    ISSN 0896-8411
    DOI 10.1016/j.jaut.2023.103059
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2368: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Smartphone Sensor-Based Human Motion Characterization with Neural Stochastic Differential Equations and Transformer Model.

    Lee, Juwon / Kim, Taehwan / Park, Jeongho / Park, Jooyoung

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 19

    Abstract: With many conveniences afforded by advances in smartphone technology, developing advanced data analysis methods for health-related information from smartphone users has become a fast-growing research topic in the healthcare field. Along these lines, this ...

    Abstract With many conveniences afforded by advances in smartphone technology, developing advanced data analysis methods for health-related information from smartphone users has become a fast-growing research topic in the healthcare field. Along these lines, this paper addresses smartphone sensor-based characterization of human motions with neural stochastic differential equations (NSDEs) and a Transformer model. NSDEs and modeling via Transformer networks are two of the most prominent deep learning-based modeling approaches, with significant performance yields in many applications. For the problem of modeling dynamical features, stochastic differential equations and deep neural networks are frequently used paradigms in science and engineering, respectively. Combining these two paradigms in one unified framework has drawn significant interest in the deep learning community, and NSDEs are among the leading technologies for combining these efforts. The use of attention has also become a widely adopted strategy in many deep learning applications, and a Transformer is a deep learning model that uses the mechanism of self-attention. This concept of a self-attention based Transformer was originally introduced for tasks of natural language processing (NLP), and due to its excellent performance and versatility, the scope of its applications is rapidly expanding. By utilizing the techniques of neural stochastic differential equations and a Transformer model along with data obtained from smartphone sensors, we present a deep learning method capable of efficiently characterizing human motions. For characterizing human motions, we encode the high-dimensional sequential data from smartphone sensors into latent variables in a low-dimensional latent space. The concept of the latent variable is particularly useful because it can not only carry condensed information concerning motion data, but also learn their low-dimensional representations. More precisely, we use neural stochastic differential equations for modeling transitions of human motion in a latent space, and rely on a Generative Pre-trained Transformer 2 (GPT2)-based Transformer model for approximating the intractable posterior of conditional latent variables. Our experiments show that the proposed method can yield promising results for the problem of characterizing human motion patterns and some related tasks including user identification.
    MeSH term(s) Electric Power Supplies ; Humans ; Motion ; Natural Language Processing ; Neural Networks, Computer ; Smartphone
    Language English
    Publishing date 2022-10-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22197480
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Public interest in the digital transformation accelerated by the COVID-19 pandemic and perception of its future impact.

    Park, Joo-Young / Lee, Kangsun / Chung, Doo Ryeon

    The Korean journal of internal medicine

    2022  Volume 37, Issue 6, Page(s) 1223–1233

    Abstract: Background/aims: The coronavirus disease 2019 (COVID-19) pandemic has accelerated digital transformation (DT). We investigated the trend of the public interest in technologies regarding the DT and Koreans' experiences and their perceptions of the future ...

    Abstract Background/aims: The coronavirus disease 2019 (COVID-19) pandemic has accelerated digital transformation (DT). We investigated the trend of the public interest in technologies regarding the DT and Koreans' experiences and their perceptions of the future impact of these technologies.
    Methods: Using Google Trends, the relative search volume (RSV) for topics including "coronavirus," "artificial intelligence," "cloud," "big data," and "metaverse" were retrieved for the period from January 2020 to January 2022. A survey was conducted to assess the population's knowledge, experience, and perceptions regarding the DT.
    Results: The RSV for "metaverse" showed an increasing trend, in contrast to those for "cloud," "big data," and "coronavirus." The RSVs for DT-related keywords had a negative correlation with the number of new weekly COVID-19 cases. In our survey, 78.1% responded that the positive impact of the DT on future lives would outweigh the negative impact. The predictors for this positive perception included experiences with the metaverse (4.0-fold) and virtual reality (VR)/augmented reality (AR) education (3.8-fold). Respondents predicted that the biggest change would occur in the healthcare sector after transportation/ communication.
    Conclusion: Koreans' search interest for "metaverse" showed an increasing trend during the COVID-19 pandemic. Koreans believe that DT will bring about big changes in the healthcare sector. Most of the survey respondents have a positive outlook about the impact of DT on future life, and the predictors for this positive perception include the experiences with the metaverse or VR/AR education. Healthcare professionals need to accelerate the adoption of DT in clinical practice, education and training.
    MeSH term(s) Humans ; Pandemics ; COVID-19/epidemiology ; Artificial Intelligence ; Virtual Reality ; Perception
    Language English
    Publishing date 2022-09-26
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 639023-7
    ISSN 2005-6648 ; 1226-3303
    ISSN (online) 2005-6648
    ISSN 1226-3303
    DOI 10.3904/kjim.2022.129
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 3028: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  10. Article: Efficacy of arthrocentesis and lavage for treatment of post-traumatic arthritis in temporomandibular joints.

    Park, Joo-Young / Lee, Jong-Ho

    Journal of the Korean Association of Oral and Maxillofacial Surgeons

    2020  Volume 46, Issue 3, Page(s) 174–182

    Abstract: Objectives: Joint injuries frequently lead to progressive joint degeneration that causes articular disc derangement, joint inflammation, and osteoarthritis. Such arthropathies that arise after trauma are defined as post-traumatic arthritis (PTA). ... ...

    Abstract Objectives: Joint injuries frequently lead to progressive joint degeneration that causes articular disc derangement, joint inflammation, and osteoarthritis. Such arthropathies that arise after trauma are defined as post-traumatic arthritis (PTA). Although PTA is well recognized in knee and elbow joints, PTA in the temporomandibular joint (TMJ) has not been clearly defined. Interestingly, patients experiencing head and neck trauma without direct jaw fracture have displayed TMJ disease symptoms; however, definitive diagnosis and treatment options are not available. This study will analyze clinical aspects of PTA in TMJ and their treatment outcomes after joint arthrocentesis and lavage.
    Materials and methods: Twenty patients with history of trauma to the head and neck especially without jaw fracture were retrospectively studied. Those patients developed TMJ disease symptoms and were diagnosed by computed tomography or magnetic resonance imaging. To decrease TMJ discomfort, arthrocentesis and lavage with or without conservative therapy were applied, and efficacy was evaluated by amount of mouth opening and pain scale. Statistical differences between pre- and post-treatment values were evaluated by Wilcoxon signed-rank test.
    Results: Patient age varied widely between 20 and 80 years, and causes of trauma were diverse. Duration of disease onset was measured as 508 posttrauma days, and 85% of the patients sought clinic visit within 2 years after trauma. In addition, 85% of the patients showed TMJ disc derangement without reduction, and osteoarthritis was accompanied at the traumatized side or at both sides in 40% of the patients. After arthrocentesis or lavage, maximal mouth opening was significantly increased (28-44 mm on average,
    Conclusion: The results of this study clarify the disease identity of PTA in TMJ and suggest early diagnosis and treatment options to manage PTA in TMJ.
    Language English
    Publishing date 2020-06-30
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2763851-0
    ISSN 2234-5930 ; 2234-7550
    ISSN (online) 2234-5930
    ISSN 2234-7550
    DOI 10.5125/jkaoms.2020.46.3.174
    Database MEDical Literature Analysis and Retrieval System OnLINE

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