9,442 research outputs found

    Differential Distribution of Ca2+-Activated K+ Channel Splice Variants among Hair Cells along the Tonotopic Axis of the Chick Cochlea

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    AbstractSummary We have cloned from the receptor epithelium of the chick cochlea a family of alternatively spliced cDNAs derived from cslo, which encodes a Ca2+-activated K+ channel like those shown to help determine the resonant frequency of electrically tuned hair cells. Our results from PCRs using template RNAs from both tonotopically subdivided receptor epithelia and single hair cells demonstrate differential exon usage along the frequency axis of the epithelium at multiple splice sites in cslo. We also show that single hair cells express more than one splice variant at a given splice site. Since channel isoforms encoded by differentially spliced slo transcripts in other species are functionally heterogeneous, these data suggest that differential processing of slo transcripts may account, at least in part, for the systematic variation in hair-cell membrane properties along the frequency axis of electrically tuned auditory receptor epithelia

    Escaping from the Filter Bubble? The Effects of Novelty and Serendipity on Users’ Evaluations of Online Recommendations

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    Recommender systems aim to support users in identifying the most relevant items. However, there are concerns that recommenders may imprison users in a “filter bubble” by recommending items predominantly known to them. On the other hand, providing unconventional items may increase risks of not meeting users’ taste. Given this trade-off, we analyze the effects of consumers’ perceived levels of recommendation novelty and serendipity on perceived preference fit and enjoyment. We find that merely increasing the level of novel recommendations is disadvantageous. Instead, recommenders should provide more serendipitous recommendations as this leads to higher perceived preference fit and enjoyment. In addition, market and recommender technology characteristics must be taken into account, since they partially determine the level of novel and serendipitous recommendations. Our findings have significant implications for research as they add additional insights on users’ evaluations of recommender systems. For practice, our results support online retailers in developing better recommenders
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