Institution
Academia Sinica
Facility•Taipei, 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.
Topics: Population, Galaxy, Large Hadron Collider, Gene, Higgs boson
Papers published on a yearly basis
Papers
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TL;DR: DsbC, a periplasmic disulfide isomerase of Gram-negative bacteria, shows more pronounced chaperone activity than does PDI in promoting the in vitroreactivation and suppressing aggregation of denaturedd-glyceraldehyde-3-phosphate dehydrogenase (GAPDH) during refolding.
233 citations
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TL;DR: The nano-biocomposite scaffold of chitosan-gelatin-alginate-nHAp has the paramount importance for applications in bone tissue-engineering in future regenerative therapies.
233 citations
01 Dec 2014
TL;DR: In this paper, a measurement of the production processes of the recently discovered Higgs boson is performed in the two-photon final state using 4.5 fb(-1) of proton-proton collisions data at root s = 7 TeV and 20.4 GeV.
Abstract: A measurement of the production processes of the recently discovered Higgs boson is performed in the two-photon final state using 4.5 fb(-1) of proton-proton collisions data at root s = 7 TeV and 20.3 fb(-1) at root s = 8 TeV collected by the ATLAS detector at the Large Hadron Collider. The number of observed Higgs boson decays to diphotons divided by the corresponding Standard Model prediction, called the signal strength, is found to be mu = 1.17 +/- 0.27 at the value of the Higgs boson mass measured by ATLAS, m(H) = 125.4 GeV. The analysis is optimized to measure the signal strengths for individual Higgs boson production processes at this value of m(H). They are found to be mu(ggF) = 1.32 +/- 0.38, mu(VBF) = 0.8 +/- 0.7, mu(WH) = 1.0 +/- 1.6, mu(ZH) = 0.1(-0.1)(+3.7), and mu t (t) over barH = 1.6(-1.8)(+2.7), for Higgs boson production through gluon fusion, vector-boson fusion, and in association with a W or Z boson or a top-quark pair, respectively. Compared with the previously published ATLAS analysis, the results reported here also benefit from a new energy calibration procedure for photons and the subsequent reduction of the systematic uncertainty on the diphoton mass resolution. No significant deviations from the predictions of the Standard Model are found.
233 citations
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TL;DR: Two characteristic analysis algorithms, Maximum Neighborhood Component (MNC) and Density of Maximum neighborhood Component (DMNC) are developed for exploring and identifying hubs/essential nodes from interactome networks.
Abstract: One major task in the post-genome era is to reconstruct proteomic and genomic interacting networks using high-throughput experiment data. To identify essential nodes/hubs in these interactomes is a way to decipher the critical keys inside biochemical pathways or complex networks. These essential nodes/hubs may serve as potential drug-targets for developing novel therapy of human diseases, such as cancer or infectious disease caused by emerging pathogens. Hub Objects Analyzer (Hubba) is a web-based service for exploring important nodes in an interactome network generated from specific small- or large-scale experimental methods based on graph theory. Two characteristic analysis algorithms, Maximum Neighborhood Component (MNC) and Density of Maximum Neighborhood Component (DMNC) are developed for exploring and identifying hubs/essential nodes from interactome networks. Users can submit their own interaction data in PSI format (Proteomics Standards Initiative, version 2.5 and 1.0), tab format and tab with weight values. User will get an email notification of the calculation complete in minutes or hours, depending on the size of submitted dataset. Hubba result includes a rank given by a composite index, a manifest graph of network to show the relationship amid these hubs, and links for retrieving output files. This proposed method (DMNC || MNC) can be applied to discover some unrecognized hubs from previous dataset. For example, most of the Hubba high-ranked hubs (80% in top 10 hub list, and >70% in top 40 hub list) from the yeast protein interactome data (Y2H experiment) are reported as essential proteins. Since the analysis methods of Hubba are based on topology, it can also be used on other kinds of networks to explore the essential nodes, like networks in yeast, rat, mouse and human. The website of Hubba is freely available at http://hub.iis.sinica.edu.tw/Hubba.
233 citations
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TL;DR: In this paper, a 1.3 mm very long baseline interferometry (VLBI) was used to study Sagittarius A*, a black hole candidate at the Galactic center.
Abstract: Sagittarius A*, the ~4 × 10^6 M_⊙ black hole candidate at the Galactic center, can be studied on Schwarzschild
radius scales with (sub)millimeter wavelength very long baseline interferometry (VLBI). We report on 1.3 mm
wavelength observations of Sgr A* using a VLBI array consisting of the JCMT on Mauna Kea, the Arizona Radio
Observatory’s Submillimeter Telescope on Mt. Graham in Arizona, and two telescopes of the CARMA array at
Cedar Flat in California. Both Sgr A* and the quasar calibrator 1924−292 were observed over three consecutive
nights, and both sources were clearly detected on all baselines. For the first time, we are able to extract 1.3mmVLBI
interferometer phase information on Sgr A* through measurement of closure phase on the triangle of baselines. On
the third night of observing, the correlated flux density of Sgr A* on all VLBI baselines increased relative to the
first two nights, providing strong evidence for time-variable change on scales of a few Schwarzschild radii. These
results suggest that future VLBI observations with greater sensitivity and additional baselines will play a valuable
role in determining the structure of emission near the event horizon of Sgr A*.
233 citations
Authors
Showing all 52129 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Chen | 217 | 4342 | 293080 |
Jing Wang | 184 | 4046 | 202769 |
Jie Zhang | 178 | 4857 | 221720 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Yang Yang | 164 | 2704 | 144071 |
Yuh Nung Jan | 162 | 460 | 74818 |
Jongmin Lee | 150 | 2257 | 134772 |
Hui-Ming Cheng | 147 | 880 | 111921 |
Teruki Kamon | 142 | 2034 | 115633 |
Jian Yang | 142 | 1818 | 111166 |
I. V. Gorelov | 139 | 1916 | 103133 |
S. R. Hou | 139 | 1845 | 106563 |
Kaori Maeshima | 139 | 1850 | 105218 |
Jiangyong Jia | 138 | 1173 | 91163 |
Kenneth Bloom | 138 | 1958 | 110129 |