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Institution

Tokyo Institute of Technology

EducationTokyo, Tôkyô, Japan
About: Tokyo Institute of Technology is a education organization based out in Tokyo, Tôkyô, Japan. It is known for research contribution in the topics: Catalysis & Thin film. The organization has 46775 authors who have published 101656 publications receiving 2357893 citations. The organization is also known as: Tokyo Tech & Tokodai.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors assessed the global relationship between extreme daily precipitation intensity and the daily surface air temperature using in-situ data, and showed that the potential applicability of the Clausius-Clapeyron scaling on sub-hourly timescale was observed.
Abstract: [1] Recently, against the backdrop of current climate, several regional studies have investigated the applicability of the Clausius–Clapeyron relation to the scaling relationship between extreme precipitation intensity and surface air temperature. Nevertheless, the temperature relationship of the extreme precipitation intensity on a global scale is still unclear. We assess, for the first time, the global relationship between the extreme daily precipitation intensity and the daily surface air temperature using in-situ data. The extreme daily precipitation intensity increased monotonically with the daily surface air temperature at high latitudes and decreased monotonically in the tropics. Similarly, the extreme daily precipitation intensity at middle latitudes increased at low temperatures and decreased at high temperatures; this decrease could be largely attributed to the decrease in the wet-event duration. The Clausius–Clapeyron scaling is applicable to the increase in the extreme daily precipitation intensity in a limited number of regions. However, the potential applicability of the Clausius–Clapeyron scaling on sub-hourly timescale was observed, even in regions where the Clausius–Clapeyron scaling on daily timescale was not applicable. This implies the potential of warming to intensify extreme precipitation on sub-hourly timescales.

305 citations

Journal ArticleDOI
TL;DR: It is proposed that NELF and DSIF cause polymerase to pause in the promoter proximal region of hsp70, and the transcriptional activator, HSF, might cause NELF to dissociate from the elongation complex.
Abstract: NELF and DSIF collaborate to inhibit elongation by RNA polymerase IIa in extracts from human cells. A multifaceted approach was taken to investigate the potential role of these factors in promoter proximal pausing on the hsp70 gene in Drosophila. Immunodepletion of DSIF from a Drosophila nuclear extract reduced the level of polymerase that paused in the promoter proximal region of hsp70. Depletion of one NELF subunit in salivary glands using RNA interference also reduced the level of paused polymerase. In vivo protein-DNA cross-linking showed that NELF and DSIF associate with the promoter region before heat shock. Immunofluorescence analysis of polytene chromosomes corroborated the cross-linking result and showed that NELF, DSIF, and RNA polymerase IIa colocalize at the hsp70 genes, small heat shock genes, and many other chromosomal locations. Finally, following heat shock induction, DSIF and polymerase but not NELF were strongly recruited to chromosomal puffs harboring the hsp70 genes. We propose that NELF and DSIF cause polymerase to pause in the promoter proximal region of hsp70. The transcriptional activator, HSF, might cause NELF to dissociate from the elongation complex. DSIF continues to associate with the elongation complex and could serve a positive role in elongation.

305 citations

Journal ArticleDOI
TL;DR: In this article, a laser ablation microprobe-inductively coupled plasma mass spectrometer (LP-ICPMS) was used to determine 238U, 207Pb, 206Pb and 204Pb abundances of several zircon populations whose ages have previously been measured by other techniques.

304 citations

Journal ArticleDOI
TL;DR: A survey of highway TSE methods is conducted, and the recent usage of detailed disaggregated mobile data for the purpose of TSE is summarized, showing two possibilities in order to solve this problem: improvement of theoretical models and the use of data-driven or streaming-data-driven approaches, which recent studies have begun to consider.

304 citations


Authors

Showing all 46967 results

NameH-indexPapersCitations
Matthew Meyerson194553243726
Yury Gogotsi171956144520
Masayuki Yamamoto1711576123028
H. Eugene Stanley1541190122321
Takashi Taniguchi1522141110658
Shu-Hong Yu14479970853
Kazunori Kataoka13890870412
Osamu Jinnouchi13588586104
Hector F. DeLuca133130369395
Shlomo Havlin131101383347
Hiroyuki Iwasaki131100982739
Kazunari Domen13090877964
Hideo Hosono1281549100279
Hideyuki Okano128116967148
Andreas Strasser12850966903
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202388
2022358
20213,457
20203,695
20193,783
20183,531