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Article ; Online: Tricuspid stenosis due to pectus excavatum in a paediatric patient with trisomy 21.

Fujita, Yuya / Chida-Nagai, Ayako / Takeda, Atsuhito

European heart journal. Case reports

2024 Volume 8, Issue 3, Page(s) ytae104

Language	English
Publishing date	2024-02-19
Publishing country	England
Document type	Case Reports
ISSN	2514-2119
ISSN (online)	2514-2119
DOI	10.1093/ehjcr/ytae104
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The Expanding Spectrum of Autoinflammatory Diseases.

Migita, Kiyoshi / Fujita, Yuya / Asano, Tomoyuki / Sato, Shuzo

Internal medicine (Tokyo, Japan)

2023 Volume 62, Issue 1, Page(s) 43–50

Abstract: Autoinflammatory diseases are systemic disorders caused by genetic or acquired abnormalities in certain signaling pathways of the innate immune system. Dysregulated activation of the inflammasome, i.e. molecular platforms responsible for the activation ... ...

Abstract	Autoinflammatory diseases are systemic disorders caused by genetic or acquired abnormalities in certain signaling pathways of the innate immune system. Dysregulated activation of the inflammasome, i.e. molecular platforms responsible for the activation of caspase-1 and production of interleukin-1β, causes autoinflammation. Familial Mediterranean fever (FMF), the most common genetic autoinflammatory disease, is characterized by a periodic fever and serositis. The complex and heterogeneous genetic background of Japanese FMF patients, accompanied by potential overlap with other rheumatic diseases, suggests crosstalk between genetic and environmental factors. Recently, FMF has been recognized as being part of a spectrum of autoinflammatory syndromes named pyrin-associated autoinflammatory diseases. The discovery of a new monogenic autoinflammatory disease, A20 haploinsufficiency, may provide novel insights into early-onset Behçet's-like diseases. In contrast, adult-onset Still's disease and Schnitzler's syndrome are acquired autoinflammatory diseases without a monogenic abnormality. Although the concept of autoinflammatory diseases originally applied to monogenic hereditary recurrent fevers, it has been expanded to include non-genetic complex autoinflammatory diseases. Information concerning monogenic autoinflammatory diseases may prove useful for elucidating the molecular mechanisms underlying non-genetic autoinflammatory diseases.
MeSH term(s)	Adult ; Humans ; Hereditary Autoinflammatory Diseases/diagnosis ; Hereditary Autoinflammatory Diseases/genetics ; Familial Mediterranean Fever/diagnosis ; Familial Mediterranean Fever/genetics ; Inflammasomes ; Fever ; Behcet Syndrome/genetics
Chemical Substances	Inflammasomes
Language	English
Publishing date	2023-01-01
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.09279-21
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Article ; Online: The Expanding Spectrum of Autoinflammatory Diseases.

Migita, Kiyoshi / Fujita, Yuya / Asano, Tomoyuki / Sato, Shuzo

Internal medicine (Tokyo, Japan)

2022

Abstract	Autoinflammatory diseases are systemic disorders caused by genetic or acquired abnormalities in certain signaling pathways of the innate immune system. Dysregulated activation of the inflammasome, i.e. molecular platforms responsible for the activation of caspase-1 and production of interleukin-1β, causes autoinflammation. Familial Mediterranean fever (FMF), the most common genetic autoinflammatory disease, is characterized by a periodic fever and serositis. The complex and heterogeneous genetic background of Japanese FMF patients, accompanied by potential overlap with other rheumatic diseases, suggests crosstalk between genetic and environmental factors. Recently, FMF has been recognized as being part of a spectrum of autoinflammatory syndromes named pyrin-associated autoinflammatory diseases. The discovery of a new monogenic autoinflammatory disease, A20 haploinsufficiency, may provide novel insights into early-onset Behçet's-like diseases. In contrast, adult-onset Still's disease and Schnitzler's syndrome are acquired autoinflammatory diseases without a monogenic abnormality. Although the concept of autoinflammatory diseases originally applied to monogenic hereditary recurrent fevers, it has been expanded to include non-genetic complex autoinflammatory diseases. Information concerning monogenic autoinflammatory diseases may prove useful for elucidating the molecular mechanisms underlying non-genetic autoinflammatory diseases.
Language	English
Publishing date	2022-03-19
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.9279-21
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 240: Show issues

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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)

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Article ; Online: Bacterial Meningitis Caused by Haemophilus influenzae Type F Diagnosed Using Next-Generation Sequencing.

Fujita, Yuya / Moriya, Kunihiko / Kitazawa, Taichi / Mabuchi, Haruna / Matsumoto, Hiroshi / Fujikura, Yuji / Imai, Kohsuke

Indian journal of pediatrics

2023 Volume 91, Issue 5, Page(s) 520

MeSH term(s)	Humans ; Infant ; Meningitis, Bacterial/diagnosis ; Haemophilus influenzae ; High-Throughput Nucleotide Sequencing ; Meningitis, Haemophilus/diagnosis ; Meningitis, Haemophilus/microbiology ; Haemophilus Vaccines
Chemical Substances	Haemophilus Vaccines
Language	English
Publishing date	2023-12-28
Publishing country	India
Document type	Letter
ZDB-ID	218231-2
ISSN	0973-7693 ; 0019-5456
ISSN (online)	0973-7693
ISSN	0019-5456
DOI	10.1007/s12098-023-05006-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 826: 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)

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Article ; Online: Colchicine-resistant sacroiliitis in a Japanese patient with familial Mediterranean fever.

Matsumoto, Haruki / Sumichika, Yuya / Saito, Kenji / Yoshida, Shuhei / Temmoku, Jumpei / Fujita, Yuya / Matsuoka, Naoki / Asano, Tomoyuki / Sato, Shuzo / Migita, Kiyoshi

Modern rheumatology case reports

2024 Volume 8, Issue 1, Page(s) 215–218

Abstract: The articular involvement in patients with familial Mediterranean fever (FMF) represents a clinical characteristic of acute monoarthritis with pain and hydrarthrosis, which always resolves spontaneously. Colchicine prevents painful arthritis attacks in ... ...

Abstract	The articular involvement in patients with familial Mediterranean fever (FMF) represents a clinical characteristic of acute monoarthritis with pain and hydrarthrosis, which always resolves spontaneously. Colchicine prevents painful arthritis attacks in most FMF cases. Spondyloarthritis is rarely associated with Japanese patients with FMF. Here, we report a Japanese male patient with FMF-related axial joint involvement. A 43-year-old male Japanese patient who presented with recurrent febrile episodes with hip joint and back pain was referred to our hospital. He carried heterozygous variants in exon 2 (L110P/E148Q) of the MEFV gene. FMF was suspected, and oral administration of colchicine (1 mg/day) was initiated. Colchicine treatment improved his febrile attack with hip joint pain. He was diagnosed as having FMF based on the Tel-Hashomer diagnostic criteria for FMF since he fulfilled one major criterion (repeated febrile attack accompanied by hip joint pain) and one minor criterion (improvement with colchicine treatment). Although the human leucocyte antigen-B27 allele was not detected, sacroiliitis-related symptoms progressed despite the ongoing colchicine treatment. Salazosulphapyridine and methotrexate were administered in addition to colchicine; however, these treatments were not effective. Canakinumab treatment successfully resolved this unique aspect of sacroiliitis, and the patient was finally diagnosed with FMF-associated axial joint involvement.
MeSH term(s)	Humans ; Male ; Adult ; Familial Mediterranean Fever/complications ; Familial Mediterranean Fever/diagnosis ; Familial Mediterranean Fever/drug therapy ; Colchicine/therapeutic use ; Sacroiliitis/diagnosis ; Sacroiliitis/drug therapy ; Sacroiliitis/etiology ; Japan ; Fever ; Arthralgia ; Pyrin/genetics
Chemical Substances	Colchicine (SML2Y3J35T) ; MEFV protein, human ; Pyrin
Language	English
Publishing date	2024-01-02
Publishing country	England
Document type	Case Reports ; Journal Article
ISSN	2472-5625
ISSN (online)	2472-5625
DOI	10.1093/mrcr/rxad050
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Post-renal acute kidney injury complicated by urinary tract obstruction due to massive blood clots and severe thrombocytopenia in a patient with systemic lupus erythematosus: A case report.

Fujita, Yuya / Sato, Shuzo / Yoshida, Shuhei / Asano, Tomoyuki / Matsumoto, Haruki / Temmoku, Jumpei / Matsuoka, Naoki / Ohkawara, Hiroshi / Shakespear, Norshalena / Migita, Kiyoshi

Modern rheumatology case reports

2024

Abstract: Systemic lupus erythematosus (SLE) is often seen with antiphospholipid antibody syndrome (APS), and these conditions may occur concurrently with severe immune thrombocytopenia and even acute kidney injury (AKI); however, post-renal AKI due to bleeding is ...

Abstract	Systemic lupus erythematosus (SLE) is often seen with antiphospholipid antibody syndrome (APS), and these conditions may occur concurrently with severe immune thrombocytopenia and even acute kidney injury (AKI); however, post-renal AKI due to bleeding is uncommon. Here, we describe a case of post-renal AKI and anuria in a patient with SLE and APS, which were attributable to urinary tract obstruction due to massive blood clots caused by secondary immune thrombocytopenia. A 50-year-old Japanese woman was admitted to our hospital with anuria, abdominal tenderness, purpura in the trunk and in both legs, and severe thrombocytopenia. She had been receiving medical treatment for APS and SLE till the age of 45 years. Computed tomography revealed a blood clot without extravasation in both urinary tracts and she was diagnosed with post-renal AKI due to complete obstruction of the urinary system. Additionally, based on her medical history, elevated platelet-associated IgG levels, and increased megakaryocyte count, she was diagnosed with secondary immune thrombocytopenia complicated by SLE and APS. She also had elevated APS-related autoantibodies, including antiphosphatidylserine/prothrombin IgM, and IgG. However, concomitant serositis such as lupus enteritis or cystitis was not seen. She was treated with a combination of glucocorticoids, intravenous immunoglobulin, and continuous hemodialysis/hemofiltration, which resulted in rapid improvement of her symptoms and renal dysfunction. Secondary immune thrombocytopenia-induced massive bleeding of urinary tract can cause post-renal AKI. Appropriate diagnosis and aggressive treatment are necessary to improve prognosis in such patients.
Language	English
Publishing date	2024-03-14
Publishing country	England
Document type	Journal Article
ISSN	2472-5625
ISSN (online)	2472-5625
DOI	10.1093/mrcr/rxae014
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Book ; Online: Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning

Chang, Xuankai / Yan, Brian / Fujita, Yuya / Maekaku, Takashi / Watanabe, Shinji

2023

Abstract: Self-supervised learning (SSL) of speech has shown impressive results in speech-related tasks, particularly in automatic speech recognition (ASR). While most methods employ the output of intermediate layers of the SSL model as real-valued features for ... ...

Abstract	Self-supervised learning (SSL) of speech has shown impressive results in speech-related tasks, particularly in automatic speech recognition (ASR). While most methods employ the output of intermediate layers of the SSL model as real-valued features for downstream tasks, there is potential in exploring alternative approaches that use discretized token sequences. This approach offers benefits such as lower storage requirements and the ability to apply techniques from natural language processing. In this paper, we propose a new protocol that utilizes discretized token sequences in ASR tasks, which includes de-duplication and sub-word modeling to enhance the input sequence. It reduces computational cost by decreasing the length of the sequence. Our experiments on the LibriSpeech dataset demonstrate that our proposed protocol performs competitively with conventional ASR systems using continuous input features, while reducing computational and storage costs. Comment: Accepted at INTERSPEECH 2023
Keywords	Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing
Subject code	006
Publishing date	2023-05-29
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Cross-Modal Multi-Tasking for Speech-to-Text Translation via Hard Parameter Sharing

Yan, Brian / Chang, Xuankai / Anastasopoulos, Antonios / Fujita, Yuya / Watanabe, Shinji

2023

Abstract: Recent works in end-to-end speech-to-text translation (ST) have proposed multi-tasking methods with soft parameter sharing which leverage machine translation (MT) data via secondary encoders that map text inputs to an eventual cross-modal representation. ...

Abstract	Recent works in end-to-end speech-to-text translation (ST) have proposed multi-tasking methods with soft parameter sharing which leverage machine translation (MT) data via secondary encoders that map text inputs to an eventual cross-modal representation. In this work, we instead propose a ST/MT multi-tasking framework with hard parameter sharing in which all model parameters are shared cross-modally. Our method reduces the speech-text modality gap via a pre-processing stage which converts speech and text inputs into two discrete token sequences of similar length -- this allows models to indiscriminately process both modalities simply using a joint vocabulary. With experiments on MuST-C, we demonstrate that our multi-tasking framework improves attentional encoder-decoder, Connectionist Temporal Classification (CTC), transducer, and joint CTC/attention models by an average of +0.5 BLEU without any external MT data. Further, we show that this framework incorporates external MT data, yielding +0.8 BLEU, and also improves transfer learning from pre-trained textual models, yielding +1.8 BLEU.
Keywords	Computer Science - Computation and Language ; Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing
Subject code	410 ; 006
Publishing date	2023-09-27
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: HuBERTopic

Maekaku, Takashi / Shi, Jiatong / Chang, Xuankai / Fujita, Yuya / Watanabe, Shinji

Enhancing Semantic Representation of HuBERT through Self-supervision Utilizing Topic Model

2023

Abstract: Recently, the usefulness of self-supervised representation learning (SSRL) methods has been confirmed in various downstream tasks. Many of these models, as exemplified by HuBERT and WavLM, use pseudo-labels generated from spectral features or the model's ...

Abstract	Recently, the usefulness of self-supervised representation learning (SSRL) methods has been confirmed in various downstream tasks. Many of these models, as exemplified by HuBERT and WavLM, use pseudo-labels generated from spectral features or the model's own representation features. From previous studies, it is known that the pseudo-labels contain semantic information. However, the masked prediction task, the learning criterion of HuBERT, focuses on local contextual information and may not make effective use of global semantic information such as speaker, theme of speech, and so on. In this paper, we propose a new approach to enrich the semantic representation of HuBERT. We apply topic model to pseudo-labels to generate a topic label for each utterance. An auxiliary topic classification task is added to HuBERT by using topic labels as teachers. This allows additional global semantic information to be incorporated in an unsupervised manner. Experimental results demonstrate that our method achieves comparable or better performance than the baseline in most tasks, including automatic speech recognition and five out of the eight SUPERB tasks. Moreover, we find that topic labels include various information about utterance, such as gender, speaker, and its theme. This highlights the effectiveness of our approach in capturing multifaceted semantic nuances. Comment: Submitted to IEEE ICASSP 2024
Keywords	Computer Science - Sound ; Computer Science - Computation and Language
Subject code	006
Publishing date	2023-10-05
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation

Chang, Xuankai / Maekaku, Takashi / Fujita, Yuya / Watanabe, Shinji

2022

Abstract: This work presents our end-to-end (E2E) automatic speech recognition (ASR) model targetting at robust speech recognition, called Integraded speech Recognition with enhanced speech Input for Self-supervised learning representation (IRIS). Compared with ... ...

Abstract	This work presents our end-to-end (E2E) automatic speech recognition (ASR) model targetting at robust speech recognition, called Integraded speech Recognition with enhanced speech Input for Self-supervised learning representation (IRIS). Compared with conventional E2E ASR models, the proposed E2E model integrates two important modules including a speech enhancement (SE) module and a self-supervised learning representation (SSLR) module. The SE module enhances the noisy speech. Then the SSLR module extracts features from enhanced speech to be used for speech recognition (ASR). To train the proposed model, we establish an efficient learning scheme. Evaluation results on the monaural CHiME-4 task show that the IRIS model achieves the best performance reported in the literature for the single-channel CHiME-4 benchmark (2.0% for the real development and 3.9% for the real test) thanks to the powerful pre-trained SSLR module and the fine-tuned SE module. Comment: Submitted to Interspeech 2022
Keywords	Computer Science - Sound ; Computer Science - Computation and Language ; Electrical Engineering and Systems Science - Audio and Speech Processing
Subject code	006
Publishing date	2022-04-01
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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