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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 & Gene. 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: In this article, the authors studied the asymptotoc behavior of a predator-prey model with stage structure and found that an orbitally asmptotically stable periodic orbit exists in that model.
Abstract: This paper studies the asymptotoc behavior of a predator-prey model with stage structure. It is found that an orbitally asymptotically stable periodic orbit exists in that model. When time delay due to gestation of predator and time delay from crowding effect of prey are incorporated, we establish the condition for the permanence of populations and sufficient conditions under which positive equilibrium of the model is globally stable.

296 citations

Journal ArticleDOI
16 Sep 2008-PLOS ONE
TL;DR: A more comprehensive analysis of Scleractinia and various outgroups, based on two mitochondrial genes and analyses of nuclear genes of a subset of taxa to test unexpected relationships, suggests a future of greater taxonomic stability.
Abstract: Modern hard corals (Class Hexacorallia; Order Scleractinia) are widely studied because of their fundamental role in reef building and their superb fossil record extending back to the Triassic. Nevertheless, interpretations of their evolutionary relationships have been in flux for over a decade. Recent analyses undermine the legitimacy of traditional suborders, families and genera, and suggest that a non-skeletal sister clade (Order Corallimorpharia) might be imbedded within the stony corals. However, these studies either sampled a relatively limited array of taxa or assembled trees from heterogeneous data sets. Here we provide a more comprehensive analysis of Scleractinia (127 species, 75 genera, 17 families) and various outgroups, based on two mitochondrial genes (cytochrome oxidase I, cytochrome b), with analyses of nuclear genes (s-tubulin, ribosomal DNA) of a subset of taxa to test unexpected relationships. Eleven of 16 families were found to be polyphyletic. Strikingly, over one third of all families as conventionally defined contain representatives from the highly divergent “robust” and “complex” clades. However, the recent suggestion that corallimorpharians are true corals that have lost their skeletons was not upheld. Relationships were supported not only by mitochondrial and nuclear genes, but also often by morphological characters which had been ignored or never noted previously. The concordance of molecular characters and more carefully examined morphological characters suggests a future of greater taxonomic stability, as well as the potential to trace the evolutionary history of this ecologically important group using fossils.

296 citations

Journal ArticleDOI
TL;DR: Two sox9 genes are cloned from zebrafish two loci reside on chromosome segments that were apparently duplicated in a large-scale genomic duplication event in ray fin fish phylogeny and both Sox9a and Sox9b proteins bind to the HMG consensus DNA sequences in vitro.

296 citations

Journal ArticleDOI
Chiea Chuen Khor1, Chiea Chuen Khor2, Sonia Davila1, Sonia Davila2, Willemijn B. Breunis3, Yi-Ching Lee4, Chisato Shimizu5, Chisato Shimizu6, Victoria J. Wright7, Rae S. M. Yeung8, Dennis E.K. Tan2, Kar Seng Sim2, Jie Jin Wang9, Jie Jin Wang10, Tien Yin Wong1, Tien Yin Wong11, Tien Yin Wong9, Junxiong Pang2, Junxiong Pang1, Paul Mitchell9, Rolando Cimaz12, Nagib Dahdah13, Yiu-fai Cheung14, Guo Ying Huang15, Wanling Yang14, In Sook Park16, Jong-Keuk Lee16, Jer-Yuarn Wu4, Michael Levin7, Jane C. Burns5, Jane C. Burns6, David Burgner17, David Burgner18, Taco W. Kuijpers3, Martin L. Hibberd2, Martin L. Hibberd1, Yu-Lung Lau14, Jing Zhang14, Xiao Jing Ma15, Fang Liu15, Lin Wu15, Jeong Jin Yoo16, Soo-Jong Hong16, Kwi Joo Kim16, Jae-Jung Kim16, Young-Mi Park16, Young Mi Hong19, Sejung Sohn19, Gi Young Jang20, Kee Soo Ha20, Hyo Kyoung Nam20, Jung Hye Byeon20, Sin Weon Yun21, Myung Ki Han16, Kyung-Yil Lee22, Ja Young Hwang22, Jung Woo Rhim22, Min Seob Song23, Hyoung Doo Lee24, Dong Soo Kim25, Jae Moo Lee25, Jeng Sheng Chang, Fuu Jen Tsai26, Chi Di Liang27, Ming-Ren Chen28, Hsin Chi28, Nan Chang Chiu28, Fu Yuan Huang28, Luan-Yin Chang29, Li-Min Huang29, Ho-Chang Kuo27, Kao Pin Huang27, Meng Luen Lee, Betau Hwang30, Yhu Chering Huang27, Pi Chang Lee, Miranda Odam17, Miranda Odam16, Frank T. Christiansen17, Campbell S. Witt31, Paul N. Goldwater6, Paul N. Goldwater32, Nigel Curtis16, Nigel Curtis18, Pamela Palasanthiran6, John B. Ziegler6, Michael D. Nissen33, Clare Nourse33, Irene M. Kuipers3, J Ottenkamp3, Judy Geissler3, Maarten H Biezeveld3, Carline E. Tacke3, Luc Filippini6, Paul A. Brogan34, Nigel Klein34, Vanita Shah34, M J Dillon34, Robert Booy35, Delane Shingadia35, Anu Bose35, Thomas Mukasa35, Robert Tulloh36, Colin Michie37, Jane W. Newburger38, Annette L. Baker38, Anne H. Rowley39, Stanford T. Shulman39, Wilbert H. Mason40, Masato Takahashi40, Marian E. Melish6, Adriana H. Tremoulet5, Ananth C. Viswanathan41, Elena Rochtchina41, John Attia10, Rodney J. Scott, Elizabeth G. Holliday, Stephen B. Harrap9 
TL;DR: The involvement of the FCGR2A locus may have implications for understanding immune activation in Kawasaki disease pathogenesis and the mechanism of response to intravenous immunoglobulin, the only proven therapy for this disease.
Abstract: Kawasaki disease is a systemic vasculitis of unknown etiology, with clinical observations suggesting a substantial genetic contribution to disease susceptibility. We conducted a genome-wide association study and replication analysis in 2,173 individuals with Kawasaki disease and 9,383 controls from five independent sample collections. Two loci exceeded the formal threshold for genome-wide significance. The first locus is a functional polymorphism in the IgG receptor gene FCGR2A (encoding an H131R substitution) (rs1801274; P = 7.35 × 10(-11), odds ratio (OR) = 1.32), with the A allele (coding for histadine) conferring elevated disease risk. The second locus is at 19q13, (P = 2.51 × 10(-9), OR = 1.42 for the rs2233152 SNP near MIA and RAB4B; P = 1.68 × 10(-12), OR = 1.52 for rs28493229 in ITPKC), which confirms previous findings(1). The involvement of the FCGR2A locus may have implications for understanding immune activation in Kawasaki disease pathogenesis and the mechanism of response to intravenous immunoglobulin, the only proven therapy for this disease.

295 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented a highly sensitive and accurate method for quantitative detection and characterization of noninteracting or weakly interacting uniaxial single domain particles (UNISD) in rocks and sediments.
Abstract: We present a highly sensitive and accurate method for quantitative detection and characterization of noninteracting or weakly interacting uniaxial single domain particles (UNISD) in rocks and sediments. The method is based on high-resolution measurements of first-order reversal curves (FORCs). UNISD particles have a unique FORC signature that can be used to isolate their contribution among other magnetic components. This signature has a narrow ridge along the Hc axis of the FORC diagram, called the central ridge, which is proportional to the switching field distribution of the particles. Therefore, the central ridge is directly comparable with other magnetic measurements, such as remanent magnetization curves, with the advantage of being fully selective to SD particles, rather than other magnetic components. This selectivity is unmatched by other magnetic unmixing methods, and offers useful applications ranging from characterization of SD particles for paleointensity studies to detecting magnetofossils and ultrafine authigenically precipitated minerals in sediments.

295 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