Academia Sinica

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.

Strong Rashba-Edelstein Effect-Induced Spin-Orbit Torques in Monolayer Transition Metal Dichalcogenide/Ferromagnet Bilayers.

Abstract: The electronic and optoelectronic properties of two-dimensional materials have been extensively explored in graphene and layered transition metal dichalcogenides (TMDs). Spintronics in these two-dimensional materials could provide novel opportunities for future electronics, for example, efficient generation of spin current, which should enable the efficient manipulation of magnetic elements. So far, the quantitative determination of charge current-induced spin current and spin–orbit torques (SOTs) on the magnetic layer adjacent to two-dimensional materials is still lacking. Here, we report a large SOT generated by current-induced spin accumulation through the Rashba-Edelstein effect in the composites of monolayer TMD (MoS2 or WSe2)/CoFeB bilayer. The effective spin conductivity corresponding to the SOT turns out to be almost temperature-independent. Our results suggest that the charge-spin conversion in the chemical vapor deposition-grown large-scale monolayer TMDs could potentially lead to high energy ef...

Laron dwarfism and non-insulin-dependent diabetes mellitus in the Hnf-1alpha knockout mouse.

Abstract: Mice deficient in hepatocyte nuclear factor 1 alpha (HNF-1alpha) were produced by use of the Cre-loxP recombination system. HNF-1alpha-null mice are viable but sterile and exhibit a phenotype reminiscent of both Laron-type dwarfism and non-insulin-dependent diabetes mellitus (NIDDM). In contrast to an earlier HNF-1alpha-null mouse line that had been produced by use of standard gene disruption methodology (M. Pontoglio, J. Barra, M. Hadchouel, A. Doyen, C. Kress, J. P. Bach, C. Babinet, and M. Yaniv, Cell 84:575-585, 1996), these mice exhibited no increased mortality and only minimal renal dysfunction during the first 6 months of development. Both dwarfism and NIDDM are most likely due to the loss of expression of insulin-like growth factor I (IGF-I) and lower levels of insulin, resulting in stunted growth and elevated serum glucose levels, respectively. These results confirm the functional significance of the HNF-1alpha regulatory elements that had previously been shown to reside in the promoter regions of both the IGF-I and the insulin genes.

Complete sequence of the binary vector pBI121 and its application in cloning T-DNA insertion from transgenic plants

Abstract: The widely used expression vector pBI121 for plant transformation was reconstructed, and the complete sequence of 14758 bp is now available (accession number AF485783) The T-DNA region (6193 bp) contains the right border, expression cassettes for a neomycin phosphotransferase II (NPTII) selection marker and a β-glucuronidase (GUS) reporter gene, and the left border The non-T-DNA region (8565 bp) was constructed according to the Bin 19 vector We applied the vector information to clone the plant/T-DNA junction region from three independent transgenic tobacco plants Knowledge of the complete sequence of this vector will be useful for an accurate description of vector size, determination of the integrity of T-DNA, identification of independent lines, the locus where it is inserted, the T-DNA copy number in those stable transformants, or construction of a smaller vector In addition, the complete sequence (5667 bp) of the transient expression vector pBI221 (accession number AF502128) carrying the ampicillin resistance and gus reporter genes is also reported

Nonparametric Estimation of Mean Functionals with Data Missing at Random

Abstract: This article considers a distribution-free estimation procedure for a basic pattern of missing data that often arises from the wellknown double sampling in survey methodology. Without parametric modeling of the missing mechanism or the joint distribution, kernel regression estimators are used to estimate mean functionals through empirical estimation of the missing pattern. A generalization of the method of Cheng and Wei is verified under the assumption of missing at random. Asymptotic distributions are derived for estimating the mean of the incomplete data and for estimating the mean treatment difference in a nonrandomized observational study. The nonparametric method is compared with a naive pairwise deletion method and a linear regression method via the asymptotic relative efficiencies and a simulation study. The comparison shows that the proposed nonparametric estimators attain reliable performances in general.