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  1. Article: What keeps urban areas from declining? Comparison of before and after effects of the urban regeneration project for the Busan city in South Korea.

    Kang, Youngeun / Kim, Taelyn / Kim, Eujin-Julia

    Heliyon

    2023  Volume 9, Issue 10, Page(s) e20933

    Language English
    Publishing date 2023-10-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e20933
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Sensitive sensing of biomarkers in interstitial fluid.

    Kim, Youngeun / Prausnitz, Mark R

    Nature biomedical engineering

    2021  Volume 5, Issue 1, Page(s) 3–5

    MeSH term(s) Biomarkers ; Extracellular Fluid ; Proteomics
    Chemical Substances Biomarkers
    Language English
    Publishing date 2021-01-22
    Publishing country England
    Document type Journal Article ; Comment
    ISSN 2157-846X
    ISSN (online) 2157-846X
    DOI 10.1038/s41551-020-00679-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Correlation Between Neighborhood Built Environment and Leisure Walking Time Around a Riverside Park.

    Gong, Youngeun / Kim, Eun Jung

    HERD

    2023  , Page(s) 19375867231213338

    Abstract: Objectives: This study aimed to investigate whether the distance to a riverside park and the neighborhood built environment are related to individuals' leisure walking time by examining the case of the Geumho riverside park in Daegu, South Korea.: ... ...

    Abstract Objectives: This study aimed to investigate whether the distance to a riverside park and the neighborhood built environment are related to individuals' leisure walking time by examining the case of the Geumho riverside park in Daegu, South Korea.
    Background: Walking, being an inexpensive means of transportation with numerous health benefits, is influenced by the conditions of neighborhood built environments.
    Methods: A survey was conducted from October 12 to November 8, 2022, including 184 adults aged 18 years or older. The dependent variable was the total weekly minutes of leisure walking, and the independent variables included the neighborhood built environment measured objectively using geographic information systems as well as demographic/individual characteristics and health attitude data. Analysis of variance was conducted to determine whether leisure walking time differed depending on the distance to the riverside park, and regression analysis was conducted to examine the association between leisure walking time and the neighborhood built environment.
    Results: Individuals living within a quarter-mile of the park walked an average of 155 min per week for leisure, which was significantly more than those living further than 1 mile (mean = 85.14 min/week). Moreover, greater access to the park, higher crosswalk density, and a lower road density were associated with more leisure walking time for residents.
    Conclusions: The findings of this study indicate that good access to riverside parks and pedestrian-centered neighborhood environments may be related to leisure walking among residents. These findings hold significance for urban planning and the formulation of public health policies.
    Language English
    Publishing date 2023-11-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2525547-2
    ISSN 2167-5112 ; 1937-5867
    ISSN (online) 2167-5112
    ISSN 1937-5867
    DOI 10.1177/19375867231213338
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: What keeps urban areas from declining? Comparison of before and after effects of the urban regeneration project for the Busan city in South Korea

    Youngeun Kang / Taelyn Kim / Eujin-Julia Kim

    Heliyon, Vol 9, Iss 10, Pp e20933- (2023)

    2023  

    Keywords Government-led urban regeneration ; Urban regeneration decline index ; Performance analysis ; Urban sustainability ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Treatment compliance, treatment patterns, and healthcare utilization in epilepsy patients with first add-on antiepileptic drugs: A nationwide cohort study.

    Kim, Min Young / Kim, Jung-Ae / Lee, Youngeun / Lee, Sang Kun

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e27770

    Abstract: Objective: This study aimed to assess the treatment compliance, patterns, healthcare resource utilization (HCRU), and costs of anti-epilepsy drugs (AEDs) as the first add-on therapy in patients with epilepsy.: Methods: We conducted a retrospective ... ...

    Abstract Objective: This study aimed to assess the treatment compliance, patterns, healthcare resource utilization (HCRU), and costs of anti-epilepsy drugs (AEDs) as the first add-on therapy in patients with epilepsy.
    Methods: We conducted a retrospective population-based cohort study using Korean National Health Insurance claims data from 2016 to 2020. Patients with epilepsy who newly received AED add-on therapy were identified and followed for up to 12 months to evaluate persistence, adherence, treatment patterns, HCRU, and costs.
    Results: Among 6,746 patients who initiated AED add-on therapy, 65.5% were persistent on their index AED add-on from the index date until the end of the follow-up period, and the mean persistent time on the index add-on was 307.3 ± 92.3 days. A total of 76.8% patients were adherent, with a medication possession ratio (MPR) ≥80%, and the mean MPR was 88.9 ± 25.4%. Persistence and adherence to the index AED add-on were relatively higher among patients prescribed lamotrigine, levetiracetam, oxcarbazepine, and perampanel than those prescribed carbamazepine, topiramate, or valproate. A total of 41.0% of the patients changed their index AED add-on during the follow-up period. The carbamazepine, topiramate, and valproate groups had higher rates of change than the other AED groups. HCRU and costs tended to be lower in the lamotrigine, levetiracetam, oxcarbazepine, and perampanel groups. Furthermore, perampanel showed the lowest HCRU and costs for all-cause cases as well as the lowest length of stay and outpatient visits for epilepsy-related cases.
    Conclusion: In this population-based study, the use of lamotrigine, levetiracetam, oxcarbazepine, or perampanel as the first add-on therapy in patients with epilepsy contributed to better treatment compliance and lower HCRU and costs than that of carbamazepine, topiramate, or valproate.
    Language English
    Publishing date 2024-03-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27770
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Autoimmune cytopenia in a Korean pediatric patient with Kabuki syndrome treated with sirolimus.

    Kim, Youngeun / Shim, Ye Jee / Kim, Do Hoon / Ha, Jung Sook / Jung, Hye Ra

    Pediatric blood & cancer

    2023  Volume 70, Issue 6, Page(s) e30275

    MeSH term(s) Child ; Humans ; Sirolimus ; Hematologic Diseases ; Vestibular Diseases ; Thrombocytopenia ; Republic of Korea
    Chemical Substances Sirolimus (W36ZG6FT64)
    Language English
    Publishing date 2023-03-01
    Publishing country United States
    Document type Letter ; Research Support, Non-U.S. Gov't
    ZDB-ID 2131448-2
    ISSN 1545-5017 ; 1545-5009
    ISSN (online) 1545-5017
    ISSN 1545-5009
    DOI 10.1002/pbc.30275
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Efficient human activity recognition with spatio-temporal spiking neural networks.

    Li, Yuhang / Yin, Ruokai / Kim, Youngeun / Panda, Priyadarshini

    Frontiers in neuroscience

    2023  Volume 17, Page(s) 1233037

    Abstract: In this study, we explore Human Activity Recognition (HAR), a task that aims to predict individuals' daily activities utilizing time series data obtained from wearable sensors for health-related applications. Although recent research has predominantly ... ...

    Abstract In this study, we explore Human Activity Recognition (HAR), a task that aims to predict individuals' daily activities utilizing time series data obtained from wearable sensors for health-related applications. Although recent research has predominantly employed end-to-end Artificial Neural Networks (ANNs) for feature extraction and classification in HAR, these approaches impose a substantial computational load on wearable devices and exhibit limitations in temporal feature extraction due to their activation functions. To address these challenges, we propose the application of Spiking Neural Networks (SNNs), an architecture inspired by the characteristics of biological neurons, to HAR tasks. SNNs accumulate input activation as presynaptic potential charges and generate a binary spike upon surpassing a predetermined threshold. This unique property facilitates spatio-temporal feature extraction and confers the advantage of low-power computation attributable to binary spikes. We conduct rigorous experiments on three distinct HAR datasets using SNNs, demonstrating that our approach attains competitive or superior performance relative to ANNs, while concurrently reducing energy consumption by up to 94%.
    Language English
    Publishing date 2023-09-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2023.1233037
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  8. Article: The Efficacy and Safety of Rituximab in Patients with Idiopathic Inflammatory Myopathy-Associated Interstitial Lung Disease: Case Series.

    Jang, Youngeun / Yoon, Hee-Young / Kim, Hyun-Sook

    Journal of clinical medicine

    2023  Volume 12, Issue 10

    Abstract: Idiopathic inflammatory myopathy (IIM)-associated interstitial lung disease (ILD) is often rapidly progressive with a poor prognosis; however, no standard therapeutic regimen has been identified. This study aimed to investigate the efficacy and safety of ...

    Abstract Idiopathic inflammatory myopathy (IIM)-associated interstitial lung disease (ILD) is often rapidly progressive with a poor prognosis; however, no standard therapeutic regimen has been identified. This study aimed to investigate the efficacy and safety of rituximab in IIM-ILD patients. Five patients who had been administered rituximab for IIM-ILD at least once between August 2016 and November 2021 were included. Lung function decline was compared one year before and after rituximab. Disease progression, defined as a greater than 10% relative decline in forced vital capacity (FVC) compared to the baseline, was also compared before and after treatment. Adverse events were recorded for safety analysis. Five IIM-ILD patients received eight cycles. FVC-predicted values significantly decreased from 6 months before rituximab administration to those at the baseline (54.1% predicted (pre-6 months) vs. 48.5% predicted (baseline),
    Language English
    Publishing date 2023-05-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm12103406
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  9. Article ; Online: Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems.

    Venkatesha, Yeshwanth / Kim, Youngeun / Park, Hyoungseob / Panda, Priyadarshini

    Neural networks : the official journal of the International Neural Network Society

    2023  Volume 168, Page(s) 569–579

    Abstract: Federated Learning (FL) is a privacy-preserving distributed machine learning approach geared towards applications in edge devices. However, the problem of designing custom neural architectures in federated environments is not tackled from the perspective ...

    Abstract Federated Learning (FL) is a privacy-preserving distributed machine learning approach geared towards applications in edge devices. However, the problem of designing custom neural architectures in federated environments is not tackled from the perspective of overall system efficiency. In this paper, we propose DC-NAS-a divide-and-conquer approach that performs supernet-based Neural Architecture Search (NAS) in a federated system by systematically sampling the search space. We propose a novel diversified sampling strategy that balances exploration and exploitation of the search space by initially maximizing the distance between the samples and progressively shrinking this distance as the training progresses. We then perform channel pruning to reduce the training complexity at the devices further. We show that our approach outperforms several sampling strategies including Hadamard sampling, where the samples are maximally separated. We evaluate our method on the CIFAR10, CIFAR100, EMNIST, and TinyImagenet benchmarks and show a comprehensive analysis of different aspects of federated learning such as scalability, and non-IID data. DC-NAS achieves near iso-accuracy as compared to full-scale federated NAS with 50% fewer resources.
    MeSH term(s) Benchmarking ; Machine Learning ; Plant Extracts ; Privacy
    Chemical Substances nas (64706-31-6) ; Plant Extracts
    Language English
    Publishing date 2023-10-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2023.10.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Efficient generation of brain organoids using magnetized gold nanoparticles.

    Kim, Hongwon / Lee, Yoo-Jung / Kwon, Youngeun / Kim, Jongpil

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 21240

    Abstract: Brain organoids, which are three-dimensional cell culture models, have the ability to mimic certain structural and functional aspects of the human brain. However, creating these organoids can be a complicated and difficult process due to various ... ...

    Abstract Brain organoids, which are three-dimensional cell culture models, have the ability to mimic certain structural and functional aspects of the human brain. However, creating these organoids can be a complicated and difficult process due to various technological hurdles. This study presents a method for effectively generating cerebral organoids from human induced pluripotent stem cells (hiPSCs) using electromagnetic gold nanoparticles (AuNPs). By exposing mature cerebral organoids to magnetized AuNPs, we were able to cultivate them in less than 3 weeks. The initial differentiation and neural induction of the neurosphere occurred within the first week, followed by maturation, including regional patterning and the formation of complex networks, during the subsequent 2 weeks under the influence of magnetized AuNPs. Furthermore, we observed a significant enhancement in neurogenic maturation in the brain organoids, as evidenced by increased histone acetylation in the presence of electromagnetic AuNPs. Consequently, electromagnetic AuNPs offer a promising in vitro system for efficiently generating more advanced human brain organoids that closely resemble the complexity of the human brain.
    MeSH term(s) Humans ; Gold/pharmacology ; Induced Pluripotent Stem Cells ; Metal Nanoparticles ; Brain ; Organoids ; Cell Differentiation
    Chemical Substances Gold (7440-57-5)
    Language English
    Publishing date 2023-12-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-48655-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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