Atsushi Ito
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Atsushi Ito has a total of 42 co-authors. Here are the top co-authors by number of shared publications:
- Hiroyuki Hatano
Graduate School of Engineering, Mie University, Tsu, Mie 514-8504, Japan
2 shared publications Yasuhiko Ohsawa
Nissan Research Center, Nissan Motor Co., Ltd, 1, Natsushima-cho, Yokosuka, Kanagawa 237-8523, Japan
2 shared publications- Akira Sasaki
Department of Surgery, Iwate Medical University School of Medicine, Yahaba, Iwate, Japan
1 shared publication - Ching-Jui Lai
Department of Mathematics, National Cheng Kung University, No. 1, Dasyue Rd., Tainan City 70101, Taiwan
1 shared publication Fumihiro Sato
Faculty of Economics, Chuo University, Hachiouji-shi, Tokyo, Japan
1 shared publication- Futoshi Matsumoto
Kanagawa University
1 shared publication
Latest Publications
- Open Access
- 28 May 2025
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 20 (5) , e0324256
Feeding infant formula with low sn-2 palmitate causes changes in newborn’s intestinal environments through an increase in fecal soaped palmitic acid
Background/Objectives: Soaped palmitic acid (PA) has been reported to be excreted in stool after feeding infant formulas containing low sn-2 palmitate levels, which corresponds to high sn-1 or -3 palmitate levels. While an in vitro study showed that soaped PA inhibits the Bifidobacteria growth, few clinical studies have evaluated effects of soaped PA on intestinal environments of infants. In this study, we aimed to evaluate associations between increased fecal soaped PA levels and inhibition of growth of the intestinal microbiome using clinical data, and to evaluate changes in the intestinal environment with formula-feeding. Methods: This study was conducted as a secondary analysis to our observational study of Japanese 1-month-old infants (n = 172). Infant formulas were classified into high sn-2 formula (≥ 50%) and low sn-2 formula (< 50%) according to the sn-2 binding ratio of PA. Multiple regression analyses and path analysis were performed as statistical analyses. Results: In the multiple regression analysis, the occupancy of Bifidobacteria was negatively correlated with the fecal soaped PA levels (β = −0.15, 95% confidence interval = −0.28– − 0.02). A path analysis suggested that low sn-2 formula feeding led to increased fecal soaped PA levels, decreased Bifidobacteria occupancy, and finally increased fecal pH. Conclusions: Our clinical data showed significant associations between higher fecal soaped PA levels and lower Bifidobacteria occupancy in the newborn gut, which agreed well with the report of the in vitro study. Our study also suggests that feeding infant formula with low sn-2 palmitate causes changes in the intestinal environment through an increase in fecal soaped palmitic acids.
- 28 May 2025
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 20 (5) , e0324256
Open AccessFeeding infant formula with low sn-2 palmitate causes changes in newborn’s intestinal environments through an increase in fecal soaped palmitic acid
Background/Objectives: Soaped palmitic acid (PA) has been reported to be excreted in stool after feeding infant formulas containing low sn-2 palmitate levels, which corresponds to high sn-1 or -3 palmitate levels. While an in vitro study showed that soaped PA inhibits the Bifidobacteria growth, few clinical studies have evaluated effects of soaped PA on intestinal environments of infants. In this study, we aimed to evaluate associations between increased fecal soaped PA levels and inhibition of growth of the intestinal microbiome using clinical data, and to evaluate changes in the intestinal environment with formula-feeding. Methods: This study was conducted as a secondary analysis to our observational study of Japanese 1-month-old infants (n = 172). Infant formulas were classified into high sn-2 formula (≥ 50%) and low sn-2 formula (< 50%) according to the sn-2 binding ratio of PA. Multiple regression analyses and path analysis were performed as statistical analyses. Results: In the multiple regression analysis, the occupancy of Bifidobacteria was negatively correlated with the fecal soaped PA levels (β = −0.15, 95% confidence interval = −0.28– − 0.02). A path analysis suggested that low sn-2 formula feeding led to increased fecal soaped PA levels, decreased Bifidobacteria occupancy, and finally increased fecal pH. Conclusions: Our clinical data showed significant associations between higher fecal soaped PA levels and lower Bifidobacteria occupancy in the newborn gut, which agreed well with the report of the in vitro study. Our study also suggests that feeding infant formula with low sn-2 palmitate causes changes in the intestinal environment through an increase in fecal soaped palmitic acids.
- Open Access
The movable cone of Calabi--Yau threefolds in ruled Fano manifolds
We describe explicitly the chamber structure of the movable cone for a general complete intersection Calabi--Yau threefold in a non-split $(n + 4)$-dimensional $\mathbb{P}^{n}$-ruled Fano manifold of index $n + 1$ and Picard number two. Moreover, all birational minimal models of such Calabi--Yau threefolds are found whose number is finite.Open AccessThe movable cone of Calabi--Yau threefolds in ruled Fano manifolds
We describe explicitly the chamber structure of the movable cone for a general complete intersection Calabi--Yau threefold in a non-split $(n + 4)$-dimensional $\mathbb{P}^{n}$-ruled Fano manifold of index $n + 1$ and Picard number two. Moreover, all birational minimal models of such Calabi--Yau threefolds are found whose number is finite. - Open Access
Projective normality and basepoint-freeness thresholds of general polarized abelian varieties
For a polarized abelian variety $(X,L)$, Z. Jiang and G. Pareschi introduce an invariant $\beta(X,L)$, called the basepoint-freeness threshold. Using this invariant, we show that a general polarized abelian variety $(X,L)$ of dimension $g$ is projectively normal if $\chi(L) \geq 2^{2g-1}$ and the type of $L$ is not $(2,4,\dots,4)$. This bound is sharp since it is known that any polarized abelian variety of type $(2,4,\dots,4)$ is not projectively normal. We also give an application of $\beta(X,L)$ to the Infinitesimal Torelli Theorem for $Y \in |L|$.Open AccessProjective normality and basepoint-freeness thresholds of general polarized abelian varieties
For a polarized abelian variety $(X,L)$, Z. Jiang and G. Pareschi introduce an invariant $\beta(X,L)$, called the basepoint-freeness threshold. Using this invariant, we show that a general polarized abelian variety $(X,L)$ of dimension $g$ is projectively normal if $\chi(L) \geq 2^{2g-1}$ and the type of $L$ is not $(2,4,\dots,4)$. This bound is sharp since it is known that any polarized abelian variety of type $(2,4,\dots,4)$ is not projectively normal. We also give an application of $\beta(X,L)$ to the Infinitesimal Torelli Theorem for $Y \in |L|$. - 1 June 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 261-264
A Study on Hammering Test using Deep Learning
Technical infrastructure such as bridges and tunnels are critical in economic activities, but in recent years, aging of them has progressed, and demand for checking the soundness of them is expanding. There are several technologies to inspect the aging process of the structures to find cracks on a wall or flacking inside of concrete. Among the technologies to diagnose a structure, the hammering test is a traditional, easy, simple, and effective method. We developed an AI hammering checker by using the k-mean method. However, accuracy is not good in some tasks. So, we started to develop the new version of the AI hammering checker by using deep learning. We explain the outline of the new system in this paper. As a result, the accuracy was increased up to 93.9%.
- 1 June 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 261-264
A Study on Hammering Test using Deep Learning
Technical infrastructure such as bridges and tunnels are critical in economic activities, but in recent years, aging of them has progressed, and demand for checking the soundness of them is expanding. There are several technologies to inspect the aging process of the structures to find cracks on a wall or flacking inside of concrete. Among the technologies to diagnose a structure, the hammering test is a traditional, easy, simple, and effective method. We developed an AI hammering checker by using the k-mean method. However, accuracy is not good in some tasks. So, we started to develop the new version of the AI hammering checker by using deep learning. We explain the outline of the new system in this paper. As a result, the accuracy was increased up to 93.9%.
- 1 July 2018
- Published by Institute of Electronics, Information and Communications Engineers (IEICE) in IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
- Vol. E101.A (7) , 1083-1091
Reliable Position Estimation by Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver
Japan's largest platform for academic e-journals: J-STAGE is a full text database for reviewed academic papers published by Japanese societies
- 1 July 2018
- Published by Institute of Electronics, Information and Communications Engineers (IEICE) in IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
- Vol. E101.A (7) , 1083-1091
Reliable Position Estimation by Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver
Japan's largest platform for academic e-journals: J-STAGE is a full text database for reviewed academic papers published by Japanese societies
- 1 September 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 000057-000062
A cognitive model of sightseeing for mobile support system
In this paper, we discuss the effectiveness of our cognitive model for sightseeing support system using BLE beacon in Nikko, a world cultural heritage in Japan. We introduced Zeigarnik Effect to design the cognitive model. In this cognitive model, an unknown part remains in our memory during a trip and that part is transformed to be an unknown expectation after the trip, and this unknown expectation will be a driver to visit there again. Last year, we performed a trial to check the effectiveness of our cognitive model and application. As the result, we found that our cognitive model could increase expectation of the trip. In addition, we extend the cognitive model to increase visitors to Nikko.
- 1 September 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 000057-000062
A cognitive model of sightseeing for mobile support system
In this paper, we discuss the effectiveness of our cognitive model for sightseeing support system using BLE beacon in Nikko, a world cultural heritage in Japan. We introduced Zeigarnik Effect to design the cognitive model. In this cognitive model, an unknown part remains in our memory during a trip and that part is transformed to be an unknown expectation after the trip, and this unknown expectation will be a driver to visit there again. Last year, we performed a trial to check the effectiveness of our cognitive model and application. As the result, we found that our cognitive model could increase expectation of the trip. In addition, we extend the cognitive model to increase visitors to Nikko.
- 13 April 2012
- Published by IOP Publishing in Modelling and Simulation in Materials Science and Engineering
- Vol. 20 (4) , 045006
Theoretical Mn K-edge XANES for Li2MnO3: DFT +Ustudy
- 13 April 2012
- Published by IOP Publishing in Modelling and Simulation in Materials Science and Engineering
- Vol. 20 (4) , 045006
Theoretical Mn K-edge XANES for Li2MnO3: DFT +Ustudy