3,698 research outputs found

    Online Public Discourse on Artificial Intelligence and Ethics in China: Context, Content, and Implications

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    Guiding center stochasticity and transport induced by electrostatic waves

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    Absolute instabilities and self-sustained oscillations in the wake of circular cylindars

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    Fast electron transport during lower-hybrid current drive

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    Periodic interactions of charged particles with localized fields -- the spatial standard map

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    Fast electron transport in lower-hybrid current drive

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    Discovery of 36 eclipsing EL CVn binaries found by the Palomar Transient Factory

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    We report the discovery and analysis of 36 new eclipsing EL CVn-type binaries, consisting of a core helium-composition pre-white dwarf and an early-type main-sequence companion, more than doubling the known population of these systems. We have used supervised machine learning methods to search 0.8 million lightcurves from the Palomar Transient Factory, combined with SDSS, Pan-STARRS and 2MASS colours. The new systems range in orbital periods from 0.46-3.8 d and in apparent brightness from ~14-16 mag in the PTF RR or g′g^{\prime} filters. For twelve of the systems, we obtained radial velocity curves with the Intermediate Dispersion Spectrograph at the Isaac Newton Telescope. We modelled the lightcurves, radial velocity curves and spectral energy distributions to determine the system parameters. The radii (0.3-0.7 R⊙\mathrm{R_{\odot}}) and effective temperatures (8000-17000 K) of the pre-He-WDs are consistent with stellar evolution models, but the masses (0.12-0.28 M⊙\mathrm{M_{\odot}}) show more variance than models predicted. This study shows that using machine learning techniques on large synoptic survey data is a powerful way to discover substantial samples of binary systems in short-lived evolutionary stages

    The Processing Pathway of Prelamin A

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    The conversion of mammalian prelamin A to mature lamin A proceeds through the removal of 18 amino acids from the carboxyl terminus. The initial step in this processing is the isoprenylation of a CAAX box cysteine. This proteolytic event is distinctive for prelamin A among the known prenylated mammalian proteins. Since the carboxyl terminus of prelamin A is removed during maturation, it is not obvious that this protein would undergo the two reactions subsequent to prenylation observed in other CAAX box proteins-the endoproteolytic removal of the carboxyl-terminal 3 amino acids and the subsequent methylation of the now carboxyl-terminal cysteine. To characterize the maturation of prelamin A further, we have developed a CHO-K1 cell line that possesses a dexamethasone-inducible human prelamin A against a genetic background of high mevalonate uptake. Utilizing this cell line in association with antibodies specific to the transgenic prelamin A, we have been able to demonstrate directly in vivo that prelamin A undergoes farnesylation and carboxymethylation prior to conversion to lamin A, as is the case for other prenylated proteins. We have demonstrated previously that in the absence of isoprenylation, conversion of prelamin A to lamin A is blocked, but that unprocessed prelamin A is transported to the nucleus where it can still undergo maturation. Consistent with the implications of these prior studies, we now demonstrate the presence of both subunits of farnesyl-protein transferase in the nucleus

    Avengers, assemble! A network-based contingency analysis of spillover effects in multi-brand alliances

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    Brand alliances are becoming increasingly complex, as marketers have begun to combine not only two but multiple brands to foster spillover effects. A particularly complex brand-alliance strategy is team brands, which combine various brands under a team-brand name. Using data from the Marvel brand universe, we examine contingency factors of sales spillover effects between team brands (e.g., Avengers) and their constituent brands (e.g., Hulk). We investigate the moderating role of key network characteristics, describing the team-brand networks and the constituent brands’ roles within these networks from both a firm perspective (brand-brand networks reflecting managers’ decisions about which constituent brands to combine) and a consumer perspective (brand-association networks reflecting consumers’ team-brand associations). The results show that network characteristics strongly affect spillovers and, more importantly, that their effect depends on both the direction (spillover from constituent brands to team brands or vice versa) and the network (brand-brand vs. brand-association network)
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