870 research outputs found
sj-docx-1-acr-10.1177_02841851221141656 - Supplemental material for Deep learning-based noise reduction for coronary CT angiography: using four-dimensional noise-reduction images as the ground truth
No full textSupplemental material, sj-docx-1-acr-10.1177_02841851221141656 for Deep learning-based noise reduction for coronary CT angiography: using four-dimensional noise-reduction images as the ground truth by Takuma Kobayashi, Tatsuya Nishii, Kensuke Umehara, Junko Ota, Yasutoshi Ohta, Tetsuya Fukuda and Takayuki Ishida in Acta Radiologica</p
sj-docx-1-acr-10.1177_02841851221076330 - Supplemental material for Generative adversarial network-based post-processed image super-resolution technology for accelerating brain MRI: comparison with compressed sensing
No full textSupplemental material, sj-docx-1-acr-10.1177_02841851221076330 for Generative adversarial network-based post-processed image super-resolution technology for accelerating brain MRI: comparison with compressed sensing by Wataru Ueki, Tatsuya Nishii, Kensuke Umehara, Junko Ota, Satoshi Higuchi, Yasutoshi Ohta, Yasuhiro Nagai, Keizo Murakawa, Takayuki Ishida and Tetsuya Fukuda in Acta Radiologica</p
Supplemental Material - Frequency and impact on clinical outcomes of sarcopenia in patients with idiopathic pulmonary fibrosis
No full textSupplemental Material for Frequency and impact on clinical outcomes of sarcopenia in patients with idiopathic pulmonary fibrosis by Kohei Fujita, Hirotsugu Ohkubo, Akiko Nakano, Yuta Mori, Kensuke Fukumitsu, Satoshi Fukuda, Yoshihiro Kanemitsu, Takehiro Uemura, Tomoko Tajiri, Ken Maeno, Yutaka Ito, Tetsuya Oguri, Yoshiyuki Ozawa, Takayuki Murase and Akio Niimi in Chronic Respiratory Disease</p
Supplemental Material - Decreased peak expiratory flow rate associated with mortality in idiopathic pulmonary fibrosis: A preliminary report
No full textSupplemental Material for Decreased peak expiratory flow rate associated with mortality in idiopathic pulmonary fibrosis: A preliminary report by Kohei Fujita, Hirotsugu Ohkubo, Akiko Nakano, Norihisa Takeda, Kensuke Fukumitsu, Satoshi Fukuda, Yoshihiro Kanemitsu, Takehiro Uemura, Tomoko Tajiri, Ken Maeno, Yutaka Ito, Tetsuya Oguri, Yoshiyuki Ozawa, Takayuki Murase and Akio Niimi in Chronic Respiratory Disease</p
The virtues of Fukuda laboratory of crystal growth
No full textAbstractThe author, dealing with crystal growth of II–VI, IV–VI and III–V compounds for more than 25 years, describes his impressions on the state of art of the basic research in the field of bulk growth of electronic materials in Japan, obtained during his stay from 1993 to 1994 as invited professor at the laboratory of Professor Tsuguo Fukuda at the Institute for Materials Research of Tohoku University in Sendai. He learned that the future generations of electronic and optical devices require original ideas and unconventional steps towards new bulk crystal growth technologies combined with a close teamwork between academic laboratories and industry
Impact of Fatigue on Quality of Life in People With Parkinson’s Disease
No full textAbstract
Date Presented 3/30/2017
The symptom of fatigue was shown to be an effector for quality of life (QOL) in people with Parkinson’s disease (PD) independently from motor function–related PD symptoms. Intervention to improve specific aspects of fatigue is recommended to promote better QOL for people with PD.
Primary Author and Speaker: Kayoko Takahashi
Contributing Authors: Naoto Kamide, Michinari Fukuda</jats:p
Making it Just in Time: Author-Creator Matsumoto Taiyō
No full textTranslated by Jon Holt and Teppei Fukuda
The first time I can remember encountering Matsumoto Taiyō’s work was probably when he released his short story collection, Blue Spring (Aoi haru - Matsumoto Taiyō tanpenshū [stories published from 1990 to 1993; Shōgakukan, 1993]). All of the stories concern a bunch of young dudes -- full of desires, frustrations, and violent tendencies -- and no chance they can ever get past those things. I thought to myself at that time, “Ah, I bet this stuff means a lot to readers in their teens, but they don’t really do anything for me.” After all, I was a man in my forties, so this stuff wasn’t on my radar as I was busy becoming a grown-up. Keep in mind that Taiyō himself was just in his early twenties. So, it really wasn’t that unnatural for him to write about life like that
[EN] JA 09 - Sept 2007
No full textSummary – ANALYSES OF CURRENT AFFAIRS – 1. An unprecedented defeat at the House of Councillors 2. A succession of scandals had tarnished the Premier minister’s image 3. Mr Abe preferred to quit than to face the opposition 4. Abe’s final months in office saw the return of practices which Koizumi had often ignored 5. Abe re-established some balance in the diplomatic legacy of his predecessor 6. How and why the LDP picked Mr Fukuda – VIEW POINTS OF THE NEWS – Takayasu Kensuke, « Is Abe’s gover..
Towards modeling of traffic demand of node in large-scale network
No full textAbstract—Understanding actual network and traffic proper-ties of the Internet is essential to determine network parame-ters in large-scale network simulations. However, there is little knowledge about the distribution of macroscopic traffic demand for each node, though the topological properties of the network have been focused on. This paper investigates the distribution of traffic volume to and from a node at an organization level. As traffic volume data, we used byte counter data of all interfaces in all backbone routers in a nation-wide research and education (R&E) network in Japan. First, we show that traffic volumes to and from a node in the network are characterized by a lognormal distribution, which has a slower decay than a normal distribution, but a faster decay than a power-law distribution. Thus, an assumption in which the traffic demand is uniformly random or Gaussian distributed is not appropriated to model the traffic demand in large-scale network simulation. This finding implies that one has more possibility to observe an increase of delay or packet drop in simulation, comparing to the result that uses uniformly-random or Gaussian traffic demand, because of the locality of traffic. Moreover, we observed that in 87 % of nodes, a traffic volume from the backbone to the node is 1-10 times larger than that for the opposite direction. This is a similar usage pattern appeared in residential light-user broadband traffic. Finally, we introduce a simple model to explain the distribution of traffic demand, based on a multiplicative growth of traffic volume. We confirm that the multiplicative model can reproduce a lognormal distribution of traffic volume by simple numerical simulation. I
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