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Institution

Toyota

CompanySafenwil, Switzerland
About: Toyota is a company organization based out in Safenwil, Switzerland. It is known for research contribution in the topics: Internal combustion engine & Battery (electricity). The organization has 40032 authors who have published 55003 publications receiving 735317 citations. The organization is also known as: Toyota Motor Corporation & Toyota Jidosha KK.


Papers
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Journal ArticleDOI
Kazutoshi Miwa1, Atsuo Fukumoto1
TL;DR: In this paper, the lattice constants of binary dihydrides were calculated for the exothermic through endothermic reactions but overbind hydrogen with transition metals, typically about $20
Abstract: The ultrasoft pseudopotential calculations are performed for the ${\mathrm{CaF}}_{2}$-type dihydrides ${\mathrm{TiH}}_{2},$ ${\mathrm{VH}}_{2},$ and ${\mathrm{CrH}}_{2}.$ The calculated lattice constants agree well with the experimental data except for ${\mathrm{CrH}}_{2}.$ We also perform calculations for a solution of hydrogen in Fe and Ni and obtain the site preferences correctly. The results for the heats of formation and heats of solution show that the calculations give the correct trends for exothermic through endothermic reactions but overbind hydrogen with transition metals, typically about $20 {\mathrm{k}\mathrm{J}/\mathrm{m}\mathrm{o}\mathrm{l}\mathrm{}\mathrm{H}}_{2}.$ This overbinding is improved by including the zero-point energy correction. The energetics of binary dihydrides including hypothetical ${\mathrm{FeH}}_{2}$ and ${\mathrm{NiH}}_{2}$ is discussed in term of three contributions: namely, the structural transformation energy, the lattice expansion energy, and the hydrogen insertion energy. The former two contributions are understood from the nature of the host metals. The hydrogen insertion energy can be represented by a simple geometric model. The extension of this model is also suitable for alloy dihydrides.

104 citations

Patent
James Anthony Bauer1
21 Mar 2005
TL;DR: In this paper, a driver advisory system is provided for use in a host vehicle and for transmitting to drivers of other vehicles information regarding the status of a driver of the host vehicle.
Abstract: A driver advisory system is provided for use in a host vehicle and for transmitting to drivers of other vehicles information regarding the status of a driver of the host vehicle. The driver advisory system includes a sensor, a first processor and a communication unit. The sensor monitors a physical condition of the driver of the host vehicle. The sensor provides an output quantifying the physical condition of the driver of the host vehicle. The first processor receives the output provided by the sensor. The first processor calculates a risk factor as a function of the output provided by the sensor. The first processor provides an output signal having information concerning the condition of the driver of the host vehicle in response to the risk factor exceeding a predetermined threshold value. The communication unit receives the output signal from the first processor and transmitting the information for retrieval by the other vehicles in the vicinity of the host vehicle.

104 citations

Patent
Keisuke Okamoto1, Kenya Yamada1
09 Apr 2009
TL;DR: In this article, the authors present a navigation apparatus which accepts an operation of an operation button displayed on a display part, the navigation apparatus including: a vehicle operation detector detecting vehicle operation when the vehicle travels; a driver characteristics learning mechanism learning driver characteristics of a driver based on the driver operation information; and a display manner changing mechanism changing adisplay manner of the operation button according to a learning result of the driver characteristics.
Abstract: A navigation apparatus which accepts an operation of an operation button displayed on a display part, the navigation apparatus including: a vehicle operation detector detecting a vehicle operation when the vehicle travels; a driver characteristics learning mechanism learning driver characteristics of a driver based on the driver operation information; and a display manner changing mechanism changing a display manner of the operation button according to a learning result of the driver characteristics learning mechanism.

104 citations

Journal ArticleDOI
Yuji Uchiyama1, Kazutoshi Ebe1, Akio Kozato1, Tomohisa Okada, Norihiro Sadato 
TL;DR: Functional magnetic resonance imaging of simulated driving in 21 subjects revealed that co-activation of the basal ganglia, thalamus and premotor cortex is related to movement selection, and activation of a premotor-parietal network isrelated to visuo-motor co-ordination.

104 citations

Journal ArticleDOI
TL;DR: This PCR-microtiter plate hybridization assay can be considered an effective tool for the diagnosis of genitourinary infections with mycoplasmas or ureaplasmas.
Abstract: We present a method for detecting the presence of Mycoplasma genitalium, Mycoplasma hominis, Ureaplasma parvum, and Ureaplasma urealyticum organisms, which are thought to be associated with nongonococcal urethritis (NGU) and other genitourinary infections, in clinical samples. This method consists of PCR amplification of a part of the 16S rRNA gene followed by 96-well microtiter plate hybridization assay using four species-specific capture probes to detect the targets. To test the efficacy of this method, we applied it to the detection of the four species in the urine of patients with NGU. There were no cross-reactions with other human mycoplasmas or ureaplasmas, and the PCR-microtiter plate hybridization assay detected as few as 10 copies of the 16S rRNA gene of each of the four species. Based on these results, this PCR-microtiter plate hybridization assay can be considered an effective tool for the diagnosis of genitourinary infections with mycoplasmas or ureaplasmas.

104 citations


Authors

Showing all 40045 results

NameH-indexPapersCitations
Derek R. Lovley16858295315
Edward H. Sargent14084480586
Shanhui Fan139129282487
Susumu Kitagawa12580969594
John B. Buse117521101807
Meilin Liu11782752603
Zhongfan Liu11574349364
Wolfram Burgard11172864856
Douglas R. MacFarlane11086454236
John J. Leonard10967646651
Ryoji Noyori10562747578
Stephen J. Pearton104191358669
Lajos Hanzo101204054380
Masashi Kawasaki9885647863
Andrzej Cichocki9795241471
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202232
2021942
20201,846
20192,981
20182,541