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  1. Article ; Online: A very rare complication: Amplatzer Septal Occluder dislodgement 6 days later under Ecpella.

    Chuang, Yu-Chuan / Liu, Tsun-Jui / Lin, Wei-Wen

    European heart journal

    2024  

    Language English
    Publishing date 2024-05-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 603098-1
    ISSN 1522-9645 ; 0195-668X
    ISSN (online) 1522-9645
    ISSN 0195-668X
    DOI 10.1093/eurheartj/ehae238
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1563: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 640: Show issues

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  2. Article: Bilateral Lower Limbs Cellulitis: A Narrative Review of an Overlooked Clinical Dilemma.

    Chuang, Yu-Chuan / Liu, Po-Yu / Lai, Kuo-Lung / Tseng, Chien-Hao

    International journal of general medicine

    2022  Volume 15, Page(s) 5567–5578

    Abstract: Bilateral lower limbs cellulitis is a rare clinical condition, which has been overlooked for a long time. In daily clinical practice, bilateral cellulitis is a sporadically encountered condition; however, it remains a clinical challenge. There is a broad ...

    Abstract Bilateral lower limbs cellulitis is a rare clinical condition, which has been overlooked for a long time. In daily clinical practice, bilateral cellulitis is a sporadically encountered condition; however, it remains a clinical challenge. There is a broad differential diagnosis for this clinical entity, and there is a lack of accepted international diagnostic criteria. Unnecessary antibiotic prescription is common, which has led to an emerging problem. In this review, we summarize case reports of bilateral lower limbs cellulitis and common pathogens that have been documented.
    Language English
    Publishing date 2022-06-09
    Publishing country New Zealand
    Document type Journal Article ; Review
    ZDB-ID 2452220-X
    ISSN 1178-7074
    ISSN 1178-7074
    DOI 10.2147/IJGM.S356852
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  3. Article: The Impact of the COVID-19 Pandemic on Respiratory Syncytial Virus Infection: A Narrative Review.

    Chuang, Yu-Chuan / Lin, Kuan-Pei / Wang, Li-An / Yeh, Ting-Kuang / Liu, Po-Yu

    Infection and drug resistance

    2023  Volume 16, Page(s) 661–675

    Abstract: Respiratory syncytial virus (RSV) is one of the most common respiratory viruses. It not only affects young children but also the elderly and immunocompromised patients. After the emergence of SARS-CoV-2 and the corona virus disease 2019 (COVID-19) era, a ...

    Abstract Respiratory syncytial virus (RSV) is one of the most common respiratory viruses. It not only affects young children but also the elderly and immunocompromised patients. After the emergence of SARS-CoV-2 and the corona virus disease 2019 (COVID-19) era, a dramatic reduction in RSV activity was found, which coincided with the implementation of public health and social measures (PHSMs). However, the correlation is more complicated than we initially thought. After PHSMs were gradually lifted, a seasonality shift and a delayed RSV outbreak with greater number of infected patients were found in numerous countries, such as Israel, Australia, South Africa, New Zealand, France, United States, and Japan. Several hypotheses and possible reasons explaining the interaction between SARS-CoV-2 and RSV were mentioned. Since RSV vaccinations are still under investigation, administration of palivizumab should be considered in high-risk patients. In the post-COVID-19 era, greater attention should be paid to a further resurgence of RSV. In this narrative review, we conducted a thorough review of the current knowledge on the epidemiology of RSV during the COVID-19 era, the out-of-season outbreak of RSV, and the data on co-infection with RSV and SARS-CoV-2.
    Language English
    Publishing date 2023-01-30
    Publishing country New Zealand
    Document type Journal Article ; Review
    ZDB-ID 2494856-1
    ISSN 1178-6973
    ISSN 1178-6973
    DOI 10.2147/IDR.S396434
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  4. Book ; Online: C3-SL

    Hsieh, Cheng-Yen / Chuang, Yu-Chuan / An-Yeu / Wu

    Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning

    2022  

    Abstract: Most existing studies improve the efficiency of Split learning (SL) by compressing the transmitted features. However, most works focus on dimension-wise compression that transforms high-dimensional features into a low-dimensional space. In this paper, we ...

    Abstract Most existing studies improve the efficiency of Split learning (SL) by compressing the transmitted features. However, most works focus on dimension-wise compression that transforms high-dimensional features into a low-dimensional space. In this paper, we propose circular convolution-based batch-wise compression for SL (C3-SL) to compress multiple features into one single feature. To avoid information loss while merging multiple features, we exploit the quasi-orthogonality of features in high-dimensional space with circular convolution and superposition. To the best of our knowledge, we are the first to explore the potential of batch-wise compression under the SL scenario. Based on the simulation results on CIFAR-10 and CIFAR-100, our method achieves a 16x compression ratio with negligible accuracy drops compared with the vanilla SL. Moreover, C3-SL significantly reduces 1152x memory and 2.25x computation overhead compared to the state-of-the-art dimension-wise compression method.

    Comment: 6 pages, IEEE MLSP 2022, Github: https://github.com/WesleyHsieh0806/Split-Learning-Compression
    Keywords Computer Science - Machine Learning ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2022-07-25
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: COVID-19 in Veterans: A Narrative Review.

    Chuang, Yu-Chuan / Tsai, Hung-Wen / Liu, Shih-An / Wu, Ming-Ju / Liu, Po-Yu

    Risk management and healthcare policy

    2022  Volume 15, Page(s) 805–815

    Abstract: Veterans are a special population that has been largely ignored during the corona virus disease 2019 (COVID-19) pandemic. Veterans with COVID-19 not only suffered symptoms from the disease but also had a higher risk of further development of in-hospital ... ...

    Abstract Veterans are a special population that has been largely ignored during the corona virus disease 2019 (COVID-19) pandemic. Veterans with COVID-19 not only suffered symptoms from the disease but also had a higher risk of further development of in-hospital complications involving multiple organs. This article aims to review the current literature on the epidemiology, risk factors, diagnosis, clinical presentation, treatment, and outcome in veterans who contracted COVID-19 during the pandemic, using papers published between January 1, 2020 and August 1, 2021. Forty published papers were considered relevant to this review study. The COVID-19 pandemic not only caused a burden on health-care facilities but also affected the veterans population. Veterans with COVID-19 not only suffered symptoms from the disease but also had a higher risk of further development of in-hospital complications involving multiple organs. The dismal outcome might be attributed to old age and multiple comorbidities among veterans. Symptoms that may be seen in veterans with COVID-19 are comparable to those in the general population with fever, cough, and dyspnea, the most commonly reported. There are several approaches, such as self-assessment tools and virtual or telephone triage strategies, that can initially provide adequate evaluation of the symptoms related to COVID-19 in veterans. Adequate risk stratification could be carried out using the VA COVID-19 (VACO) Index, which predicts the risk of 30-day all-cause mortality after COVID-19 infection. There are several COVID-19 specific treatments that have been given to veterans; however, none of them have been proven to reduce the overall mortality in veterans. The overall mortality rate among veterans showed a declining trend. However, veterans suffering from chronic COVID-19 are at risk of dependence on activities of daily living after recovering from the illness. In summary, veterans are a special population that requires more attention especially during the COVID-19 pandemic.
    Language English
    Publishing date 2022-04-26
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2495128-6
    ISSN 1179-1594
    ISSN 1179-1594
    DOI 10.2147/RMHP.S354814
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  6. Article ; Online: Talaromyces amestolkiae

    Wang, Li-An / Chuang, Yu-Chuan / Yeh, Ting-Kuang / Lin, Kuan-Pei / Lin, Chi-Jan / Liu, Po-Yu

    Journal of fungi (Basel, Switzerland)

    2023  Volume 9, Issue 9

    Abstract: Concurrent infections caused by multiple fungal pathogens in immunocompromised patients can pose diagnostic and treatment challenges. Here, we presented the first reported case in Taiwan of an AIDS patient who had concurrent infection ... ...

    Abstract Concurrent infections caused by multiple fungal pathogens in immunocompromised patients can pose diagnostic and treatment challenges. Here, we presented the first reported case in Taiwan of an AIDS patient who had concurrent infection with
    Language English
    Publishing date 2023-09-15
    Publishing country Switzerland
    Document type Case Reports
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof9090932
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  7. Article: Blood Culture Negative Endocarditis: A Review of Laboratory Diagnostic Approaches.

    Lin, Kuan-Pei / Yeh, Ting-Kuang / Chuang, Yu-Chuan / Wang, Li-An / Fu, Yun-Ching / Liu, Po-Yu

    International journal of general medicine

    2023  Volume 16, Page(s) 317–327

    Abstract: Infective endocarditis is a potentially fatal condition, and identifying the pathogen is crucial to optimizing antibiotic treatment. While a blood culture takes time and may yield negative results, it remains the gold standard for diagnosis, blood ... ...

    Abstract Infective endocarditis is a potentially fatal condition, and identifying the pathogen is crucial to optimizing antibiotic treatment. While a blood culture takes time and may yield negative results, it remains the gold standard for diagnosis, blood culture-negative endocarditis, which accounts for up to 20% of infective endocarditis cases, poses a clinical challenge with increasing mortality. To better understand the etiology of blood culture-negative infective endocarditis, we reviewed non-culture-based strategies and compared the results. Serology tests work best in limited pathogens, such as
    Language English
    Publishing date 2023-01-24
    Publishing country New Zealand
    Document type Journal Article ; Review
    ZDB-ID 2452220-X
    ISSN 1178-7074
    ISSN 1178-7074
    DOI 10.2147/IJGM.S393329
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  8. Article ; Online: Clinical metagenomics-assisted diagnosis of relapsed HIV-associated cryptococcal meningitis.

    Yeh, Ting Kuang / Lin, Kuan Pei / Chuang, Yu Chuan / Wang, Li An / Chen, Chih Jun / Lee, Ding Yu / Huang, Yao Ting / Liu, Po Yu

    International journal of STD & AIDS

    2023  Volume 34, Issue 10, Page(s) 740–744

    Abstract: To date, the identification of crypotococcal relapse remains clinically challenging as it often has similar manifestation with paradoxical immune reconstitution inflammatory syndrome. This study reports on the use of metagenomics assisted next generation ...

    Abstract To date, the identification of crypotococcal relapse remains clinically challenging as it often has similar manifestation with paradoxical immune reconstitution inflammatory syndrome. This study reports on the use of metagenomics assisted next generation sequencing to aid in diagnosing recurrent cryptococcal meningitis in an person living with HIV experiencing recurring symptoms, despite negative culture results for
    MeSH term(s) Humans ; Meningitis, Cryptococcal/diagnosis ; Meningitis, Cryptococcal/microbiology ; AIDS-Related Opportunistic Infections/diagnosis ; Metagenomics ; Cryptococcus neoformans/genetics ; Recurrence ; HIV Infections/complications
    Language English
    Publishing date 2023-05-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1018089-8
    ISSN 1758-1052 ; 0956-4624
    ISSN (online) 1758-1052
    ISSN 0956-4624
    DOI 10.1177/09564624231174179
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2829: 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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  9. Book ; Online: Task-Projected Hyperdimensional Computing for Multi-Task Learning

    Chang, Cheng-Yang / Chuang, Yu-Chuan / Wu, An-Yeu

    2020  

    Abstract: Brain-inspired Hyperdimensional (HD) computing is an emerging technique for cognitive tasks in the field of low-power design. As a fast-learning and energy-efficient computational paradigm, HD computing has shown great success in many real-world ... ...

    Abstract Brain-inspired Hyperdimensional (HD) computing is an emerging technique for cognitive tasks in the field of low-power design. As a fast-learning and energy-efficient computational paradigm, HD computing has shown great success in many real-world applications. However, an HD model incrementally trained on multiple tasks suffers from the negative impacts of catastrophic forgetting. The model forgets the knowledge learned from previous tasks and only focuses on the current one. To the best of our knowledge, no study has been conducted to investigate the feasibility of applying multi-task learning to HD computing. In this paper, we propose Task-Projected Hyperdimensional Computing (TP-HDC) to make the HD model simultaneously support multiple tasks by exploiting the redundant dimensionality in the hyperspace. To mitigate the interferences between different tasks, we project each task into a separate subspace for learning. Compared with the baseline method, our approach efficiently utilizes the unused capacity in the hyperspace and shows a 12.8% improvement in averaged accuracy with negligible memory overhead.

    Comment: To be published in 16th International Conference on Artificial Intelligence Applications and Innovations
    Keywords Electrical Engineering and Systems Science - Signal Processing
    Subject code 004
    Publishing date 2020-04-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Task-Projected Hyperdimensional Computing for Multi-task Learning

    Chang, Cheng-Yang / Chuang, Yu-Chuan / Wu, An-Yeu (Andy)

    Artificial Intelligence Applications and Innovations

    Abstract: Brain-inspired Hyperdimensional (HD) computing is an emerging technique for cognitive tasks in the field of low-power design. As an energy-efficient and fast learning computational paradigm, HD computing has shown great success in many real-world ... ...

    Abstract Brain-inspired Hyperdimensional (HD) computing is an emerging technique for cognitive tasks in the field of low-power design. As an energy-efficient and fast learning computational paradigm, HD computing has shown great success in many real-world applications. However, an HD model incrementally trained on multiple tasks suffers from the negative impacts of catastrophic forgetting. The model forgets the knowledge learned from previous tasks and only focuses on the current one. To the best of our knowledge, no study has been conducted to investigate the feasibility of applying multi-task learning to HD computing. In this paper, we propose Task-Projected Hyperdimensional Computing (TP-HDC) to make the HD model simultaneously support multiple tasks by exploiting the redundant dimensionality in the hyperspace. To mitigate the interferences between different tasks, we project each task into a separate subspace for learning. Compared with the baseline method, our approach efficiently utilizes the unused capacity in the hyperspace and shows a 12.8% improvement in averaged accuracy with negligible memory overhead.
    Keywords covid19
    Publisher PMC
    Document type Article ; Online
    DOI 10.1007/978-3-030-49161-1_21
    Database COVID19

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