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Institution

Academia Sinica

FacilityTaipei, Taiwan
About: Academia Sinica is a facility organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Population & Galaxy. The organization has 52086 authors who have published 65998 publications receiving 1728114 citations. The organization is also known as: Central Research Academy.


Papers
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Journal ArticleDOI
TL;DR: A new paralle plate flow chamber that has a linear variation of shear stress, starting from a predetermined maximum value at the entrance and falling to zero at the exit, has been designed and tested.
Abstract: A new paralle plate flow chamber that has a linear variation of shear stress, starting from a predetermined maximum value at the entrance and falling to zero at the exit, has been designed and tested. This is in contrast to the usual rect-angular channel plan which produces a constant shear stress over the entire length. The new design is based on the theory of Hele-Shaw flow between parallel plates. To verify the efficacy of the flow channel, the effect of fluid shear stress on platelet adhesion to a fibrinogen-coated glass surface was tested. The percentage of attached platelets after 5 min of shear stress is shown to be a function of shear stress. With this new flow chamber, cell-cell interactions can be studied efficiently over a wide range of shear stress using a single run at constant discharge.

316 citations

Journal ArticleDOI
TL;DR: The genes involved in nitrate regulation and how they influence nitrate transport and assimilation are described and the role of systems biology approaches in elucidating the gene networks involved in NO(3)(-) signaling adaptation to fluctuating environments is discussed.

316 citations

Journal ArticleDOI
TL;DR: It is demonstrated that as evidenced by certain chaperone inductions, Jev infection triggers the UPR in fibroblast BHK-21 cells and in neuronal N18 and NT-2 cells, in which JEV results in apoptotic cell death, suggesting that virus-induced ER stress may participate, via p38-dependent and CHOP-mediated pathways, in the apoptotic process triggered by JEV infection.
Abstract: The malfunctioning of the endoplasmic reticulum (ER) of cells in hosts ranging from yeast to mammals can trigger an unfolded protein response (UPR). Such malfunctioning can result from a variety of ER stresses, including the inhibition of protein glycosylation and calcium imbalance. To cope with ER stresses, cells may rely on the UPR to send a signal(s) from the ER to the nucleus to stimulate appropriate cellular responses, including induction of chaperone expression. During Japanese encephalitis virus (JEV) infection, the lumen of the ER rapidly accumulates substantial amounts of viral proteins for virus progeny production. In the present study, we demonstrate that as evidenced by certain chaperone inductions, JEV infection triggers the UPR in fibroblast BHK-21 cells and in neuronal N18 and NT-2 cells, in which JEV results in apoptotic cell death. By contrast, no UPR was observed in apoptosis-resistant K562 cells infected by JEV. JEV infection also activates expression of CHOP/GADD153, a distinctive transcription factor often induced by the UPR, and appears to trigger activation of p38 mitogen-activated protein kinase, a posttranslational activator of CHOP. Ectopic enforcement of CHOP expression enhanced JEV-induced apoptosis, whereas treatment with a p38-specific inhibitor, SB203580, partially blocked JEV-induced apoptosis. Interestingly, bcl-2 overexpression and treatment with a pancaspase inhibitor, z-VAD-fmk, inhibited CHOP induction and diminished JEV-induced apoptosis, suggesting that Bcl-2 and caspases could be the upstream regulators of CHOP. Our results thus suggest that virus-induced ER stress may participate, via p38-dependent and CHOP-mediated pathways, in the apoptotic process triggered by JEV infection.

315 citations

Journal ArticleDOI
M. Aguilar, J. Alcaraz, J.V. Allaby1, Behcet Alpat2  +211 moreInstitutions (27)
TL;DR: In this article, a measurement of the cosmic ray positron fraction in the energy range of 1 −30 GeV was presented, based on data taken by the AMS-01 experiment during its 10-day Space Shuttle flight in June 1998.

314 citations

Journal ArticleDOI
TL;DR: In this paper, the authors derived the invariants that guarantee the stability of the line nodes in the bulk under reflection symmetry and showed that a quantized Berry phase (i.e., a ${\mathbb{Z}}_{2}$ invariant) leads to the appearance of protected surfaces states, which take the shape of a drumhead.
Abstract: Topological nodal line semimetals exhibit protected one-dimensional Fermi lines, which arise due to an intricate interplay between the symmetry and topology of the electronic wave functions. In this paper, the authors derive the $\mathbb{Z}$ invariants that guarantee the stability of the line nodes in the bulk under reflection symmetry and show that a quantized Berry phase (i.e, a ${\mathbb{Z}}_{2}$ invariant) leads to the appearance of protected surfaces states, which take the shape of a drumhead. Most importantly, a relation between the $\mathbb{Z}$ invariant, which characterizes the bulk, and the quantized Berry phase is derived. This relation is generally applicable to any topological nodal line semimetal with or without spin-orbit coupling. Moreover, it is shown that the Berry phase invariant can be simply obtained by computing the reflection parity eigenvalues. As a representative example of a topological nodal line semimetal, the authors examine Ca${}_{3}$P${}_{2}$, which has been identified as an ideal system with the line nodes at the Fermi energy. Using numerical calculations, they show that the drumhead surface state of Ca${}_{3}$P${}_{2}$ has a rather weak dispersion, which implies that correlation effects are enhanced at the surface.

314 citations


Authors

Showing all 52129 results

NameH-indexPapersCitations
Yi Chen2174342293080
Jing Wang1844046202769
Jie Zhang1784857221720
Hyun-Chul Kim1764076183227
Yang Yang1642704144071
Yuh Nung Jan16246074818
Jongmin Lee1502257134772
Hui-Ming Cheng147880111921
Teruki Kamon1422034115633
Jian Yang1421818111166
I. V. Gorelov1391916103133
S. R. Hou1391845106563
Kaori Maeshima1391850105218
Jiangyong Jia138117391163
Kenneth Bloom1381958110129
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
2022111
20212,414
20202,356
20192,330
20182,349