1,151 research outputs found
Koshiden /
No full textOn double leaves, oriental style, in 6 cases.Caption title.Mode of access: Internet
Risk factors of infant anemia in the perinatal period
No full text主査 : 小原明 / タイトル : Risk factors of infant anemia in the perinatal period /著者 : Michio Hirata, Isao Kusakawa, Sachiko Ohde, Michiko Yamanaka, Hitoshi Yoda /掲載誌 : Pediatrics International /巻号・発行年等 : doi:10.1111/ped.13174
An Ethical Consideration of the Concept of Sustainability in ESD: The Arguments of Derek Parfit and Hitoshi Nagai
No full textThe study critically examines the concept of sustainability by focusing on the arguments of Derek Parfit and Hitoshi Nagai. The concept of sustainability is based on that of intergenerational ethics, which asserts the rights of future generations. Parfit's thought experiment "Depletion" shows that we cannot make assumptions about the characteristics of future generations in order to guarantee their rights because of the Non-Identity Problem. Nagai suggests that our ethics are derived from inverted moral and ethical values, and that intergenerational ethics underpinning the concept of Education for Sustainable Development is rooted in the present generational ethics as our inverted values
An Ethical Consideration of the Concept of Sustainability in ESD: The Arguments of Derek Parfit and Hitoshi Nagai
Get PDFThe study critically examines the concept of sustainability by focusing on the arguments of Derek Parfit and Hitoshi Nagai. The concept of sustainability is based on that of intergenerational ethics, which asserts the rights of future generations. Parfit's thought experiment "Depletion" shows that we cannot make assumptions about the characteristics of future generations in order to guarantee their rights because of the Non-Identity Problem. Nagai suggests that our ethics are derived from inverted moral and ethical values, and that intergenerational ethics underpinning the concept of Education for Sustainable Development is rooted in the present generational ethics as our inverted values
Risk factors of infant anemia in the perinatal period
No full text主査 : 小原明 / タイトル : Risk factors of infant anemia in the perinatal period /著者 : Michio Hirata, Isao Kusakawa, Sachiko Ohde, Michiko Yamanaka, Hitoshi Yoda /掲載誌 : Pediatrics International /巻号・発行年等 : 59(4):447-451, 2017 / 本文ファイル: 査読後原稿 / This is the peer reviewed version of the following article:【Pediatrics International,59,447】, which has been published in final form at DOI: 【10.1111/ped.13174】. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving
sj-xlsx-1-tar-10.1177_17534666221138002 – Supplemental material for Combination of anti-glycopeptidolipid-core IgA antibody and clinical features for diagnosing potential nontuberculous mycobacterium pulmonary disease in routine practice
No full textSupplemental material, sj-xlsx-1-tar-10.1177_17534666221138002 for Combination of anti-glycopeptidolipid-core IgA antibody and clinical features for diagnosing potential nontuberculous mycobacterium pulmonary disease in routine practice by Takuya Iwasaki, Fumihiro Yamaguchi, Makoto Hayashi, Hitoshi Kobayashi, Kento Hirata, Kenta Miyo, Chika Kondo, Mamiko Kanzaki, Kazusawa Tei, Takashi Abe, Shunsuke Sakakura, Daisuke Inoue, Yohei Yamazaki, Hidetsugu Tateno, Takuya Yokoe and Yusuke Shikama in Therapeutic Advances in Respiratory Disease</p
Daytime nap controls toddlers' nighttime sleep
No full text主査 : 水野雅文 / タイトル : Daytime nap controls toddlers' nighttime sleep / 著者 : Machiko Nakagawa, Hidenobu Ohta, Yuko Nagaoki, Rinshu Shimabukuro, Yoko Asaka, Noriko Takahashi, Takayo Nakazawa, Yousuke Kaneshi, Keita Morioka, Yoshihisa Oishi, Yuriko Azami, Mari Ikeuchi, Mari Takahashi, Michio Hirata, Miwa Ozawa, Kazutoshi Cho, Isao Kusakawa, Hitoshi Yoda / 掲載誌 : Scientific Reports / 巻号・発行年等 : 6:27246, 2016 / 本文ファイル: 出版者
Daytime nap controls toddlers' nighttime sleep
No full text主査 : 水野雅文 / タイトル : Daytime nap controls toddlers' nighttime sleep /著者 : Machiko Nakagawa, Hidenobu Ohta, Yuko Nagaoki, Rinshu Shimabukuro, Yoko Asaka, Noriko Takahashi, Takayo Nakazawa, Yousuke Kaneshi, Keita Morioka, Yoshihisa Oishi, Yuriko Azami, Mari Ikeuchi, Mari Takahashi, Michio Hirata, Miwa Ozawa, Kazutoshi Cho, Isao Kusakawa, Hitoshi Yoda /掲載誌 : Scientific Reports /巻号・発行年等 : 6:27246, 2016
Erratum: The histone demethylase JMJD2B regulates endothelial-to-mesenchymal transition (Proceedings of the National Academy of Sciences of the United States of America (2020) 117 (4180-4187) DOI: 10.1073/pnas.1913481117)
No full textCorrection for “The histone demethylase JMJD2B regulates endothelial-to-mesenchymal transition,” by Simone F. Glaser, Andreas W. Heumüller, Lukas Tombor, Patrick Hofmann, Marion Muhly-Reinholz, Ariane Fischer, Stefan Günther, Karoline E. Kokot, David Hassel, Sandeep Kumar, Hanjoong Jo, Reinier A. Boon, Wesley Abplanalp, David John, Jes-Niels Boeckel, and Stefanie Dimmeler, which was first published February 7, 2020; 10.1073/pnas.1913481117 (Proc. Natl. Acad. Sci. U.S.A. 117, 4180-4187). The authors note that Hitoshi Okada should be added to the author list between Karoline E. Kokot and David Hassel. Hitoshi Okada should be credited with providing mice. The corrected author line, affiliation line, and author contributions appear below. The online version has been corrected
Object detection in video using mixtures of deformable part models obtained from a image set
No full textA detecção de objetos, pertencentes a uma determinada classe, em vídeos é de uma atividade amplamente estudada devido às aplicações potenciais que ela implica. Por exemplo, para vídeos obtidos por uma câmera estacionária, temos aplicações como segurança ou vigilância do tráfego, e por uma câmera dinâmica, para assistência ao condutor, entre outros. Na literatura, há diferentes métodos para tratar indistintamente cada um dos casos mencionados, e que consideram só imagens obtidas por um único tipo de câmera para treinar os detectores. Isto pode levar a uma baixa performance quando se aplica a técnica em vídeos de diferentes tipos de câmeras. O estado da arte na detecção de objetos de apenas uma classe, mostra uma tendência pelo uso de histogramas, treinamento supervisionado e, basicamente, seguem a seguinte estrutura: construção do modelo da classe de objeto, detecção de candidatos em uma imagem/quadro, e aplicação de uma medida sobre esses candidatos. Outra desvantagem observada é o uso de diferentes modelos para cada linha de visada de um objeto, gerando muitos modelos e, em alguns casos, um classificador para cada linha de visada. Nesta dissertação, abordamos o problema de detecção de objetos, usando um modelo da classe do objeto criada com um conjunto de dados de imagens estáticas e posteriormente usamos o modelo para detectar objetos na seqüência de imagens (vídeos) que foram coletadas a partir de câmeras estacionárias e dinâmicas, ou seja, num cenário totalmente diferente do usado para o treinamento. A criação do modelo é feita em uma fase de aprendizagem off-line, utilizando o conjunto de imagens PASCAL 2007. O modelo baseia-se em uma mistura de modelos baseados em partes deformáveis (MDPM), originalmente proposto por Felzenszwalb et al. (2010b) no âmbito da detecção de objetos em imagens. Não limitamos o modelo para uma determinada linha de visada. Foi elaborado um conjunto de experimentos que exploram o melhor número de componentes da mistura e o número de partes do modelo. Além disso, foi realizado um estudo comparativo de MDPMs simétricas e assimétricas. Testamos esse método para detectar objetos como pessoas e carros em vídeos obtidos por câmera estacionária e dinâmica. Nossos resultados não mostram apenas o bom desempenho da MDPM e melhores resultados que o estado da arte na detecção de objetos em vídeos obtidos por câmeras estacionárias ou dinâmicas, mas também mostram o melhor número de componentes da mistura e as partes para o modelo criado. Finalmente, os resultados mostram algumas diferenças entre as MDPMs simétricas e assimétricas na detecção de objetos em diferentes vídeos.The problem of detecting objects that belong to a specific class of objects, in videos is a widely studied activity due to its potential applications. For example, for videos that have been taken from a stationary camera, we can mention applications such as security and traffic surveillance; when the video have been taken from a dynamic camera, a possible application is autonomous driving. The literature, presents several different approaches to treat indiscriminately with each of the cases mentioned, and only consider images obtained from a stationary or dynamic camera to train the detectors. These approaches can lead to poor performaces when the tecniques are used in sequences of images from different types of camera. The state of the art in the detection of objects that belong to a specific class shows a tendency to the use of histograms, supervised training and basically follows the structure: object class model construction, detection of candidates in the image/frame, and application of a distance measure to those candidates. Another disadvantage is that some approaches use several models for each point of view of the car, generating a lot of models and, in some cases, one classifier for each point of view. In this work, we approach the problem of object detection, using a model of the object class created with a dataset of static images and we use the model to detect objects in videos (sequence of images) that were collected from static and dynamic cameras, i.e., in a totally different setting than used for training. The creation of the model is done by an off-line learning phase, using an image database of cars in several points of view, PASCAL 2007. The model is based on a mixture of deformable part models (MDPM), originally proposed by Felzenszwalb et al. (2010b) for detection in static images. We do not limit the model for any specific viewpoint. A set of experiments was elaborated to explore the best number of components of the integration, as well as the number of parts of the model. In addition, we performed a comparative study of symmetric and asymmetric MDPMs. We evaluated the proposed method to detect people and cars in videos obtained by a static or a dynamic camera. Our results not only show good performance of MDPM and better results than the state of the art approches in object detection on videos obtained from a stationary, or dynamic, camera, but also show the best number of components of the integration and parts or the created object. Finally, results show differences between symmetric and asymmetric MDPMs in the detection of objects in different videos
- …
