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  1. Article ; Online: The Contribution of Secondary Particles Following Carbon Ion Radiotherapy to Soft Errors in CIEDs.

    Kawakami, Yudai / Sakai, Makoto / Masuda, Hiroaki / Miyajima, Masami / Kanzaki, Takao / Kobayashi, Kazutoshi / Ohno, Tatsuya / Sakurai, Hiroshi

    IEEE open journal of engineering in medicine and biology

    2024  Volume 5, Page(s) 157–162

    Abstract: Introduction: ...

    Abstract Introduction:
    Language English
    Publishing date 2024-01-26
    Publishing country United States
    Document type Journal Article
    ISSN 2644-1276
    ISSN (online) 2644-1276
    DOI 10.1109/OJEMB.2024.3358989
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Neurolymphomatosis in Intravascular Large B-cell Lymphoma.

    Miyajima, Toru / Ohigashi, Hiroyuki / Yaguchi, Hiroaki / Teshima, Takanori

    Internal medicine (Tokyo, Japan)

    2022  Volume 62, Issue 9, Page(s) 1381–1382

    MeSH term(s) Humans ; Neurolymphomatosis/diagnosis ; Neurolymphomatosis/diagnostic imaging ; Lymphoma, Large B-Cell, Diffuse/diagnostic imaging ; Lymphoma, Large B-Cell, Diffuse/pathology ; Magnetic Resonance Imaging
    Language English
    Publishing date 2022-10-05
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 32371-8
    ISSN 1349-7235 ; 0021-5120 ; 0918-2918
    ISSN (online) 1349-7235
    ISSN 0021-5120 ; 0918-2918
    DOI 10.2169/internalmedicine.0021-22
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  3. Article ; Online: Auxiliary self-supervision to metric learning for music similarity-based retrieval and auto-tagging.

    Akama, Taketo / Kitano, Hiroaki / Takematsu, Katsuhiro / Miyajima, Yasushi / Polouliakh, Natalia

    PloS one

    2023  Volume 18, Issue 11, Page(s) e0294643

    Abstract: In the realm of music information retrieval, similarity-based retrieval and auto-tagging serve as essential components. Similarity-based retrieval involves automatically analyzing a music track and fetching analogous tracks from a database. Auto-tagging, ...

    Abstract In the realm of music information retrieval, similarity-based retrieval and auto-tagging serve as essential components. Similarity-based retrieval involves automatically analyzing a music track and fetching analogous tracks from a database. Auto-tagging, on the other hand, assesses a music track to deduce associated tags, such as genre and mood. Given the limitations and non-scalability of human supervision signals, it becomes crucial for models to learn from alternative sources to enhance their performance. Contrastive learning-based self-supervised learning, which exclusively relies on learning signals derived from music audio data, has demonstrated its efficacy in the context of auto-tagging. In this work, we propose a model that builds on the self-supervised learning approach to address the similarity-based retrieval challenge by introducing our method of metric learning with a self-supervised auxiliary loss. Furthermore, diverging from conventional self-supervised learning methodologies, we discovered the advantages of concurrently training the model with both self-supervision and supervision signals, without freezing pre-trained models. We also found that refraining from employing augmentation during the fine-tuning phase yields better results. Our experimental results confirm that the proposed methodology enhances retrieval and tagging performance metrics in two distinct scenarios: one where human-annotated tags are consistently available for all music tracks, and another where such tags are accessible only for a subset of music tracks.
    MeSH term(s) Humans ; Music ; Affect ; Benchmarking ; Databases, Factual ; Information Storage and Retrieval ; Skin Neoplasms
    Language English
    Publishing date 2023-11-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0294643
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  4. Article ; Online: Aceruloplasminemia.

    Miyajima, Hiroaki

    Neuropathology : official journal of the Japanese Society of Neuropathology

    2015  Volume 35, Issue 1, Page(s) 83–90

    Abstract: Aceruloplasminemia is characterized by progressive neurodegeneration with brain iron accumulation due to the complete lack of ceruloplasmin ferroxidase activity caused by mutations in the ceruloplasmin gene. Redox-active iron accumulation was found to be ...

    Abstract Aceruloplasminemia is characterized by progressive neurodegeneration with brain iron accumulation due to the complete lack of ceruloplasmin ferroxidase activity caused by mutations in the ceruloplasmin gene. Redox-active iron accumulation was found to be more prominent in the astrocytes than in the neurons. The most characteristic findings were abnormal or deformed astrocytes and globular structures of astrocytes. The lack of ceruloplasmin may primarily damage astrocytes in the aceruloplasminemic brains as a result of lipid peroxidation due to massive iron deposition. In the normal brain, iron may be continuously recycled between astrocytes and neurons, with transferrin acting as a shuttle. The glycosylphosphatidylinositol (GPI)-linked ceruloplasmin on astrocytes functions as a ferroxidase, mediating the oxidation of ferrous iron transported from the cytosol by ferroportin and its subsequent transfer to transferrin. In cases with aceruloplasminemia, neurons take up the iron from alternative sources of non-transferrin-bound iron, because astrocytes without GPI-linked ceruloplasmin cannot transport iron to transferrin. The excess iron in astrocytes could result in oxidative damage to these cells, and the neuronal cell protection offered by astrocytes would thus be disrupted. Neuronal cell loss may result from iron starvation in the early stage and from iron-mediated oxidation in the late stage. Ceruloplasmin may therefore play an essential role in neuronal survival in the central nervous system.
    MeSH term(s) Astrocytes/enzymology ; Astrocytes/pathology ; Brain Diseases, Metabolic, Inborn/pathology ; Ceruloplasmin/deficiency ; Ceruloplasmin/metabolism ; Humans ; Iron/metabolism ; Iron Metabolism Disorders/metabolism ; Iron Metabolism Disorders/pathology ; Neurodegenerative Diseases/metabolism ; Neurodegenerative Diseases/pathology ; Neurons/enzymology ; Neurons/pathology
    Chemical Substances Iron (E1UOL152H7) ; Ceruloplasmin (EC 1.16.3.1)
    Language English
    Publishing date 2015-02
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 1483794-8
    ISSN 1440-1789 ; 0919-6544
    ISSN (online) 1440-1789
    ISSN 0919-6544
    DOI 10.1111/neup.12149
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5086: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Auxiliary self-supervision to metric learning for music similarity-based retrieval and auto-tagging.

    Taketo Akama / Hiroaki Kitano / Katsuhiro Takematsu / Yasushi Miyajima / Natalia Polouliakh

    PLoS ONE, Vol 18, Iss 11, p e

    2023  Volume 0294643

    Abstract: In the realm of music information retrieval, similarity-based retrieval and auto-tagging serve as essential components. Similarity-based retrieval involves automatically analyzing a music track and fetching analogous tracks from a database. Auto-tagging, ...

    Abstract In the realm of music information retrieval, similarity-based retrieval and auto-tagging serve as essential components. Similarity-based retrieval involves automatically analyzing a music track and fetching analogous tracks from a database. Auto-tagging, on the other hand, assesses a music track to deduce associated tags, such as genre and mood. Given the limitations and non-scalability of human supervision signals, it becomes crucial for models to learn from alternative sources to enhance their performance. Contrastive learning-based self-supervised learning, which exclusively relies on learning signals derived from music audio data, has demonstrated its efficacy in the context of auto-tagging. In this work, we propose a model that builds on the self-supervised learning approach to address the similarity-based retrieval challenge by introducing our method of metric learning with a self-supervised auxiliary loss. Furthermore, diverging from conventional self-supervised learning methodologies, we discovered the advantages of concurrently training the model with both self-supervision and supervision signals, without freezing pre-trained models. We also found that refraining from employing augmentation during the fine-tuning phase yields better results. Our experimental results confirm that the proposed methodology enhances retrieval and tagging performance metrics in two distinct scenarios: one where human-annotated tags are consistently available for all music tracks, and another where such tags are accessible only for a subset of music tracks.
    Keywords Medicine ; R ; Science ; Q
    Subject code 780 ; 006
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Editorial: neurodegeneration with brain iron accumulation.

    Miyajima, Hiroaki

    Current drug targets

    2012  Volume 13, Issue 9, Page(s) 1181

    MeSH term(s) Brain/metabolism ; Humans ; Iron/metabolism ; Neurodegenerative Diseases/metabolism
    Chemical Substances Iron (E1UOL152H7)
    Language English
    Publishing date 2012-04-15
    Publishing country United Arab Emirates
    Document type Editorial
    ZDB-ID 2064859-5
    ISSN 1873-5592 ; 1389-4501
    ISSN (online) 1873-5592
    ISSN 1389-4501
    DOI 10.2174/138945012802002339
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5578: 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. Book ; Online: Self-supervised Auxiliary Loss for Metric Learning in Music Similarity-based Retrieval and Auto-tagging

    Akama, Taketo / Kitano, Hiroaki / Takematsu, Katsuhiro / Miyajima, Yasushi / Polouliakh, Natalia

    2023  

    Abstract: In the realm of music information retrieval, similarity-based retrieval and auto-tagging serve as essential components. Given the limitations and non-scalability of human supervision signals, it becomes crucial for models to learn from alternative ... ...

    Abstract In the realm of music information retrieval, similarity-based retrieval and auto-tagging serve as essential components. Given the limitations and non-scalability of human supervision signals, it becomes crucial for models to learn from alternative sources to enhance their performance. Self-supervised learning, which exclusively relies on learning signals derived from music audio data, has demonstrated its efficacy in the context of auto-tagging. In this study, we propose a model that builds on the self-supervised learning approach to address the similarity-based retrieval challenge by introducing our method of metric learning with a self-supervised auxiliary loss. Furthermore, diverging from conventional self-supervised learning methodologies, we discovered the advantages of concurrently training the model with both self-supervision and supervision signals, without freezing pre-trained models. We also found that refraining from employing augmentation during the fine-tuning phase yields better results. Our experimental results confirm that the proposed methodology enhances retrieval and tagging performance metrics in two distinct scenarios: one where human-annotated tags are consistently available for all music tracks, and another where such tags are accessible only for a subset of tracks.

    Comment: 11 pages
    Keywords Computer Science - Sound ; Computer Science - Information Retrieval ; Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Subject code 006
    Publishing date 2023-04-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Taurine depletion during fetal and postnatal development blunts firing responses of neocortical layer II/III pyramidal neurons.

    Hosoi, Yasushi / Akita, Tenpei / Watanabe, Miho / Ito, Takashi / Miyajima, Hiroaki / Fukuda, Atsuo

    Frontiers in molecular neuroscience

    2022  Volume 15, Page(s) 806798

    Abstract: Fetal and infant brains are rich in maternally derived taurine. We previously demonstrated that taurine action regulates the cation-chloride cotransporter activity and the differentiation and radial migration of pyramidal neuron progenitors in the ... ...

    Abstract Fetal and infant brains are rich in maternally derived taurine. We previously demonstrated that taurine action regulates the cation-chloride cotransporter activity and the differentiation and radial migration of pyramidal neuron progenitors in the developing neocortex of rodent fetuses. Here we examined the effects of fetal and infantile taurine depletion caused by knockout of the taurine transporter Slc6a6 on firing properties of layer II/III pyramidal neurons in the mouse somatosensory cortex at 3 weeks of postnatal age, using the whole-cell patch-clamp technique. The membrane excitability under resting conditions was similar between the neurons in knockout mice and those in wildtype littermates. However, the frequency of repetitive spike firing during moderate current injection was significantly lower, along with lower membrane voltage levels during interspike intervals in knockout neurons. When strong currents were injected, by which repetitive firing was rapidly abolished due to inactivation of voltage-gated Na
    Language English
    Publishing date 2022-11-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2452967-9
    ISSN 1662-5099
    ISSN 1662-5099
    DOI 10.3389/fnmol.2022.806798
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  9. Article ; Online: Improvement in the long-term care burden after surgical treatment of patients with idiopathic normal pressure hydrocephalus: a supplementary study.

    Ishikawa, Masatsune / Yamada, Shigeki / Miyajima, Masakazu / Kazui, Hiroaki / Mori, Etsuro

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 11732

    Abstract: Idiopathic normal pressure hydrocephalus (iNPH) is a surgically treatable syndrome commonly observed in older adults. However, it is unclear whether clinical improvements after surgery can effectively reduce the long-term care burden (LTCB). In this ... ...

    Abstract Idiopathic normal pressure hydrocephalus (iNPH) is a surgically treatable syndrome commonly observed in older adults. However, it is unclear whether clinical improvements after surgery can effectively reduce the long-term care burden (LTCB). In this study, we determined whether shunt surgery was effective in decreasing LTCB. We also investigated the degree of variability in patients and hospitals, using data from the iNPH multicenter study. This study involved 69 participants who underwent lumboperitoneal shunt surgery with follow-up for 12 months. A generalized linear mixed model was applied to analyze the fixed and random effects simultaneously. Regarding LTCB, the disability grades improved significantly. Although the dementia grades also improved, it was not statistically significant. The differences in the LTCB grades in most patients were within the range of the 95% confidence intervals, while in the case of hospitals, some were often out of the range. Further studies are needed to improve dementia in patients with iNPH. The incorporation of random variables, such as hospitals, is important for the analysis of data from multicenter studies.
    MeSH term(s) Aged ; Aged, 80 and over ; Cost of Illness ; Female ; Humans ; Hydrocephalus, Normal Pressure/diagnosis ; Hydrocephalus, Normal Pressure/epidemiology ; Hydrocephalus, Normal Pressure/surgery ; Long-Term Care/statistics & numerical data ; Male ; Middle Aged ; Postoperative Period ; Prognosis ; Public Health Surveillance ; Randomized Controlled Trials as Topic ; Severity of Illness Index ; Treatment Outcome
    Language English
    Publishing date 2021-06-03
    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/s41598-021-90911-2
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  10. Article ; Online: A Revised Classification of Primary Iron Overload Syndromes.

    Tatsumi, Yasuaki / Yano, Motoyoshi / Wakusawa, Shinya / Miyajima, Hiroaki / Ishikawa, Tetsuya / Imashuku, Shinsaku / Takano, Atsuko / Nihei, Wataru / Kato, Ayako / Kato, Koichi / Hayashi, Hisao / Yoshioka, Kentaro / Hayashi, Kazuhiko

    Journal of clinical and translational hepatology

    2024  Volume 12, Issue 4, Page(s) 346–356

    Abstract: Background and aims: The clinical introduction of hepcidin25 (Hep25) has led to a more detailed understanding of its relationship with ferroportin (FP) and divalent metal transporter1 in primary iron overload syndromes (PIOSs). In 2012, we proposed a ... ...

    Abstract Background and aims: The clinical introduction of hepcidin25 (Hep25) has led to a more detailed understanding of its relationship with ferroportin (FP) and divalent metal transporter1 in primary iron overload syndromes (PIOSs). In 2012, we proposed a classification of PIOSs based on the Hep25/FP system, which consists of prehepatic aceruloplasminemia, hepatic hemochromatosis (HC), and posthepatic FP disease (FP-D). However, in consideration of accumulated evidence on PIOSs, we aimed to renew the classification.
    Methods: We reviewed the 2012 classification and retrospectively renewed it according to new information on PIOSs.
    Results: Iron-loading anemia was included in PIOSs as a prehepatic form because of the newly discovered erythroferrone-induced suppression of Hep25, and the state of traditional FP-D was remodeled as the BIOIRON proposal. The key molecules responsible for prehepatic PIOSs are low transferrin saturation in aceruloplasminemia and increased erythroferrone production by erythroblasts in iron-loading anemia. Hepatic PIOSs comprise four genotypes of HC, in each of which the synthesis of Hep25 is inappropriately reduced in the liver. Hepatic Hep25 synthesis is adequate in posthepatic PIOSs; however, two mutant FP molecules may resist Hep25 differently, resulting in SLC40A1-HC and FP-D, respectively. PIOS phenotypes are diagnosed using laboratory tests, including circulating Hep25, followed by suitable treatments. Direct sequencing of the candidate genes may be outsourced to gene centers when needed. Laboratory kits for the prevalent mutations, such as C282Y, may be the first choice for a genetic analysis of HC in Caucasians.
    Conclusions: The revised classification may be useful worldwide.
    Language English
    Publishing date 2024-03-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3019822-7
    ISSN 2310-8819 ; 2225-0719
    ISSN (online) 2310-8819
    ISSN 2225-0719
    DOI 10.14218/JCTH.2023.00290
    Database MEDical Literature Analysis and Retrieval System OnLINE

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