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Artikel ; Online: Isolation and complete genomic characterization of a Movar 33/63-like Japanese bovine herpesvirus 4 from a calf with respiratory disease.

Kumagai, Asuka / Soga, Yasufumi / Kimura, Kumiko / Hatama, Shinichi

The Journal of veterinary medical science

2024

Abstract: Bovine herpesvirus 4 (BoHV-4) is an indigenous virus in cattle prevalent mainly in North and South American countries and European countries, but the genomic sequences and genetic characteristics of Japanese strains have not been reported. BoHV-4 is ... ...

Abstract	Bovine herpesvirus 4 (BoHV-4) is an indigenous virus in cattle prevalent mainly in North and South American countries and European countries, but the genomic sequences and genetic characteristics of Japanese strains have not been reported. BoHV-4 is suspected, but not proven, to be associated with various diseases. In the present study, we isolated BoHV-4 from a 10-month-old Japanese Black calf with respiratory symptoms in Japan. To identify the genetic characteristics of the isolate named strain SG20, complete genome sequencing was performed using a combination of next-generation and Sanger sequencing technologies. The complete long unique coding region (LUR) of SG20 was found to comprise 108,819 nucleotides with 41.4% GC content and contain at least 78 open reading frames. It shares 83.4 to 99.3% overall nucleotide identity with six BoHV-4 strains available in the database. The deduced amino acid sequence alignment revealed that SG20 contains genotype 1-specific features of BoHV-4, such as amino acid substitutions and insertions within the glycoprotein B region. Phylogenetic analyzes based on the nucleotide sequences of ORF20 indicated that the virus belonged to genotype 1 (Movar 33/63-like group). The strain was also analyzed using the complete LUR and placed in the same clade as a strain recently isolated from China, but it was distinct from American and European BoHV-4 strains of genotype 1. Although further genomic and epidemiologic information is needed, our results help elucidate the molecular epidemiology of BoHV-4 and provide a foundation for future studies.
Sprache	Englisch
Erscheinungsdatum	2024-04-19
Erscheinungsland	Japan
Dokumenttyp	Journal Article
ZDB-ID	1071753-5
ISSN	1347-7439 ; 0916-7250
ISSN (online)	1347-7439
ISSN	0916-7250
DOI	10.1292/jvms.24-0028
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel: Prediction of tissue deformation based on mechanical and physiological factors in the prone position during surgery.

Kumagai, Ayumi / Ohno, Naoki / Miyati, Tosiaki / Sugama, Junko

Journal of tissue viability

2024 Band 33, Heft 2, Seite(n) 312–317

Abstract: Aim: This study aimed to predict tissue deformation based on the pressure applied while lying in the prone position and physiological factors.: Methods: Healthy volunteers were instructed to lie on mattresses of four different hardness levels (50, 87. ...

Abstract	Aim: This study aimed to predict tissue deformation based on the pressure applied while lying in the prone position and physiological factors. Methods: Healthy volunteers were instructed to lie on mattresses of four different hardness levels (50, 87.5, 175, and 262.5 N). The order in which the mattresses were used was randomized per participant. Pressure at the iliac crests was measured using a pressure mapping sensor sheet. Participants were placed in the prone position for 10 min, with pressure data used from the latter 5 min. For the tissue deformation at the iliac crests, our previous study data were used. Multiple regression analysis was used to identify predictive mechanical and physiological factors. Results: The distance between the left and right greater trochanters, maximum interface pressure and age were significant predictors for compression of the skin and soft tissue. Significant predictors of internal soft tissue displacement were the distances between the left and right anterior superior iliac spines and greater trochanters. No factors predicted skin surface displacement. Conclusions: Our study provided predictive factors that may be measured easily in a clinical setting to reduce the risk of pressure ulcers during surgery in the prone position.
Mesh-Begriff(e)	Humans ; Prone Position/physiology ; Male ; Female ; Adult ; Pressure Ulcer/prevention & control ; Pressure Ulcer/physiopathology ; Middle Aged ; Healthy Volunteers/statistics & numerical data ; Pressure/adverse effects
Sprache	Englisch
Erscheinungsdatum	2024-02-13
Erscheinungsland	England
Dokumenttyp	Journal Article
ZDB-ID	1282604-2
ISSN	0965-206X
ISSN	0965-206X
DOI	10.1016/j.jtv.2024.02.004
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: The applicability of Willems' and Lee's dental age estimation methods for Japanese children and the comparison with the Korean population.

Lee, Sang-Seob / Kumagai, Akiko

Legal medicine (Tokyo, Japan)

2022 Band 58, Seite(n) 102094

Abstract: This study aimed to examine the applicability of Willems' and Lee's methods in a Japanese population and to find the differences in teeth development between Japanese and Korean children by comparing the accuracy of their estimated age using the two ... ...

Abstract	This study aimed to examine the applicability of Willems' and Lee's methods in a Japanese population and to find the differences in teeth development between Japanese and Korean children by comparing the accuracy of their estimated age using the two methods. The developmental status of the lower left permanent teeth in 1,475 orthopantomograms of Japanese children were evaluated based on Demirjian's criteria, and the ages were estimated using Willems' and Lee's methods. The errors in estimated ages were calculated and compared with equivalent Korean population data. The accuracy of both methods for estimating the age of the Japanese population was similar to that in the Korean population except for that of Lee's method used in Japanese males. The results showed that there might be differences in teeth development between the Japanese and Korean boys. To increase the accuracy of the dental age estimation, the method that is derived from their own population data should be applied in forensic practice.
Mesh-Begriff(e)	Age Determination by Teeth/methods ; Child ; Cross-Sectional Studies ; Humans ; Japan ; Male ; Radiography, Panoramic ; Republic of Korea ; Tooth/diagnostic imaging
Sprache	Englisch
Erscheinungsdatum	2022-05-30
Erscheinungsland	Ireland
Dokumenttyp	Journal Article
ZDB-ID	2019555-2
ISSN	1873-4162 ; 1344-6223
ISSN (online)	1873-4162
ISSN	1344-6223
DOI	10.1016/j.legalmed.2022.102094
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Buch ; Online: Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces

Iwata, Tomoharu / Kumagai, Atsutoshi

2023

Abstract: We propose a meta-learning method for semi-supervised learning that learns from multiple tasks with heterogeneous attribute spaces. The existing semi-supervised meta-learning methods assume that all tasks share the same attribute space, which prevents us ...

Abstract	We propose a meta-learning method for semi-supervised learning that learns from multiple tasks with heterogeneous attribute spaces. The existing semi-supervised meta-learning methods assume that all tasks share the same attribute space, which prevents us from learning with a wide variety of tasks. With the proposed method, the expected test performance on tasks with a small amount of labeled data is improved with unlabeled data as well as data in various tasks, where the attribute spaces are different among tasks. The proposed method embeds labeled and unlabeled data simultaneously in a task-specific space using a neural network, and the unlabeled data's labels are estimated by adapting classification or regression models in the embedding space. For the neural network, we develop variable-feature self-attention layers, which enable us to find embeddings of data with different attribute spaces with a single neural network by considering interactions among examples, attributes, and labels. Our experiments on classification and regression datasets with heterogeneous attribute spaces demonstrate that our proposed method outperforms the existing meta-learning and semi-supervised learning methods.
Schlagwörter	Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; Statistics - Machine Learning
Thema/Rubrik (Code)	006
Erscheinungsdatum	2023-11-08
Erscheinungsland	us
Dokumenttyp	Buch ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Buch ; Online: Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation

Iwata, Tomoharu / Kumagai, Atsutoshi

2023

Abstract: Although Gaussian processes (GPs) with deep kernels have been successfully used for meta-learning in regression tasks, its uncertainty estimation performance can be poor. We propose a meta-learning method for calibrating deep kernel GPs for improving ... ...

Abstract	Although Gaussian processes (GPs) with deep kernels have been successfully used for meta-learning in regression tasks, its uncertainty estimation performance can be poor. We propose a meta-learning method for calibrating deep kernel GPs for improving regression uncertainty estimation performance with a limited number of training data. The proposed method meta-learns how to calibrate uncertainty using data from various tasks by minimizing the test expected calibration error, and uses the knowledge for unseen tasks. We design our model such that the adaptation and calibration for each task can be performed without iterative procedures, which enables effective meta-learning. In particular, a task-specific uncalibrated output distribution is modeled by a GP with a task-shared encoder network, and it is transformed to a calibrated one using a cumulative density function of a task-specific Gaussian mixture model (GMM). By integrating the GP and GMM into our neural network-based model, we can meta-learn model parameters in an end-to-end fashion. Our experiments demonstrate that the proposed method improves uncertainty estimation performance while keeping high regression performance compared with the existing methods using real-world datasets in few-shot settings.
Schlagwörter	Statistics - Machine Learning ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
Thema/Rubrik (Code)	006
Erscheinungsdatum	2023-12-13
Erscheinungsland	us
Dokumenttyp	Buch ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: Web Exclusives. Annals Story Slam - On Raking Sand.

Kumagai, Arno

Annals of internal medicine

2017 Band 167, Heft 6, Seite(n) SS1

Sprache	Englisch
Erscheinungsdatum	2017-09-29
Erscheinungsland	United States
Dokumenttyp	Journal Article
ZDB-ID	336-0
ISSN	1539-3704 ; 0003-4819
ISSN (online)	1539-3704
ISSN	0003-4819
DOI	10.7326/W17-0049
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: The impact of micronutrient deficiency on pregnancy complications and development origin of health and disease.

Kanasaki, Keizo / Kumagai, Asako

The journal of obstetrics and gynaecology research

2021 Band 47, Heft 6, Seite(n) 1965–1972

Abstract: Due to the spread of the western style diet, which is characterized by high intake of processed food, micronutrients (vitamins and minerals) deficiency is increasing in the Japanese population of all ages and genders. During pregnancy, the elevated ... ...

Abstract	Due to the spread of the western style diet, which is characterized by high intake of processed food, micronutrients (vitamins and minerals) deficiency is increasing in the Japanese population of all ages and genders. During pregnancy, the elevated demand for micronutrients put pregnant women at even higher risk of micronutrients deficiency. Some micronutrients are relatively famous such that women with reproductive age are recommended to take folic acid supplementation for the prevention of neural tube defect. However, it is not generally known that folate is also important for fetal growth throughout the pregnancy course and for prevention of pregnancy complications, and that pregnant women should continue to take supplementation during pregnancy and lactation. The types of micronutrients and the duration of supplementation are both important factors to maintain normal pregnancies. This review focused on four micronutrients that are commonly deficient in Japanese pregnant women, folate, vitamin B12, vitamin D, calcium, and magnesium. The detrimental effects of homocysteine accumulation associated with the above micronutrient defects and its link to catechol-o-methyltransferase insufficiency are described. We also discussed possible molecular mechanisms of pregnancy complications and the development origin of health and disease (DOHaD) regarding micronutrient deficiencies from the point of view of one carbon metabolism.
Mesh-Begriff(e)	Catechol O-Methyltransferase ; Dietary Supplements ; Female ; Folic Acid ; Humans ; Japan ; Malnutrition/complications ; Micronutrients/deficiency ; Pregnancy ; Pregnancy Complications
Chemische Substanzen	Micronutrients ; Folic Acid (935E97BOY8) ; Catechol O-Methyltransferase (EC 2.1.1.6)
Sprache	Englisch
Erscheinungsdatum	2021-03-29
Erscheinungsland	Australia
Dokumenttyp	Journal Article ; Review
ZDB-ID	1327307-3
ISSN	1447-0756 ; 1341-8076
ISSN (online)	1447-0756
ISSN	1341-8076
DOI	10.1111/jog.14770
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel: Effects of hemicellulose composition and content on the interaction between cellulose nanofibers

Kumagai, Akio / Endo, Takashi

Cellulose. 2021 Jan., v. 28, no. 1

2021

Abstract: In this study, cellulose nanofibers (CNFs) from softwood and hardwood kraft pulps were prepared with different hemicellulose contents, and the effects of the hemicellulose compositions and contents on the interaction between CNFs were studied. In ... ...

Abstract	In this study, cellulose nanofibers (CNFs) from softwood and hardwood kraft pulps were prepared with different hemicellulose contents, and the effects of the hemicellulose compositions and contents on the interaction between CNFs were studied. In addition, the effects of CNF interaction on the CNF dispersion stability and viscosity characteristics in the aqueous state were investigated. Using quartz crystal microbalance with dissipation, the results of the interaction analysis revealed that hemicellulose moderated the strength of the interaction between CNFs, and the intensity of the interaction changed according to the hemicellulose compositions. The interaction between galactoglucomannans was stronger than that between glucuronoxylans, and CNFs prepared from softwood pulp containing mainly galactoglucomannan showed stronger interaction between CNFs than those prepared from hardwood pulp containing mainly glucuronoxylan. The presence of hemicelluloses on the surface of CNFs improved the dispersion stability and increased the viscosity. However, the intensity of the interaction between CNFs, which is dependent on the type of hemicellulose, did not affect these properties. The properties of CNFs in the aqueous state are determined by not only the interaction between CNFs but also several factors such as the morphology of CNFs and physical properties of hemicelluloses.
Schlagwörter	cellulose ; cellulose nanofibers ; hardwood ; mannans ; quartz crystal microbalance ; softwood ; viscosity
Sprache	Englisch
Erscheinungsverlauf	2021-01
Umfang	p. 259-271.
Erscheinungsort	Springer Netherlands
Dokumenttyp	Artikel
Anmerkung	NAL-AP-2-clean
ZDB-ID	1496831-9
ISSN	1572-882X ; 0969-0239
ISSN (online)	1572-882X
ISSN	0969-0239
DOI	10.1007/s10570-020-03530-x
Datenquelle	NAL Katalog (AGRICOLA)

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Artikel ; Online: Genetics of H5N1 and H5N8 High-Pathogenicity Avian Influenza Viruses Isolated in Japan in Winter 2021-2022.

Mine, Junki / Takadate, Yoshihiro / Kumagai, Asuka / Sakuma, Saki / Tsunekuni, Ryota / Miyazawa, Kohtaro / Uchida, Yuko

Viruses

2024 Band 16, Heft 3

Abstract: In winter 2021-2022, H5N1 and H5N8 high-pathogenicity avian influenza (HPAI) viruses (HPAIVs) caused serious outbreaks in Japan: 25 outbreaks of HPAI at poultry farms and 107 cases in wild birds or in the environment. Phylogenetic analyses divided H5 ... ...

Abstract	In winter 2021-2022, H5N1 and H5N8 high-pathogenicity avian influenza (HPAI) viruses (HPAIVs) caused serious outbreaks in Japan: 25 outbreaks of HPAI at poultry farms and 107 cases in wild birds or in the environment. Phylogenetic analyses divided H5 HPAIVs isolated in Japan in the winter of 2021-2022 into three groups-G2a, G2b, and G2d-which were disseminated at different locations and times. Full-genome sequencing analyses of these HPAIVs revealed a strong relationship of multiple genes between Japan and Siberia, suggesting that they arose from reassortment events with avian influenza viruses (AIVs) in Siberia. The results emphasize the complex of dissemination and reassortment events with the movement of migratory birds, and the importance of continual monitoring of AIVs in Japan and Siberia for early alerts to the intrusion of HPAIVs.
Mesh-Begriff(e)	Animals ; Influenza in Birds/epidemiology ; Influenza A Virus, H5N8 Subtype ; Influenza A Virus, H5N1 Subtype/genetics ; Japan/epidemiology ; Phylogeny ; Virulence ; Birds ; Animals, Wild ; Influenza A virus/genetics
Sprache	Englisch
Erscheinungsdatum	2024-02-26
Erscheinungsland	Switzerland
Dokumenttyp	Journal Article
ZDB-ID	2516098-9
ISSN	1999-4915 ; 1999-4915
ISSN (online)	1999-4915
ISSN	1999-4915
DOI	10.3390/v16030358
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Buch ; Online: Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space

Iwata, Tomoharu / Kumagai, Atsutoshi

2022

Abstract: Many neural network-based out-of-distribution (OoD) detection methods have been proposed. However, they require many training data for each target task. We propose a simple yet effective meta-learning method to detect OoD with small in-distribution data ... ...

Abstract	Many neural network-based out-of-distribution (OoD) detection methods have been proposed. However, they require many training data for each target task. We propose a simple yet effective meta-learning method to detect OoD with small in-distribution data in a target task. With the proposed method, the OoD detection is performed by density estimation in a latent space. A neural network shared among all tasks is used to flexibly map instances in the original space to the latent space. The neural network is meta-learned such that the expected OoD detection performance is improved by using various tasks that are different from the target tasks. This meta-learning procedure enables us to obtain appropriate representations in the latent space for OoD detection. For density estimation, we use a Gaussian mixture model (GMM) with full covariance for each class. We can adapt the GMM parameters to in-distribution data in each task in a closed form by maximizing the likelihood. Since the closed form solution is differentiable, we can meta-learn the neural network efficiently with a stochastic gradient descent method by incorporating the solution into the meta-learning objective function. In experiments using six datasets, we demonstrate that the proposed method achieves better performance than existing meta-learning and OoD detection methods.
Schlagwörter	Statistics - Machine Learning ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
Thema/Rubrik (Code)	006
Erscheinungsdatum	2022-06-19
Erscheinungsland	us
Dokumenttyp	Buch ; Online
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