3,636 research outputs found

    Digital Literacy Learning In Higher Education Through Digital Storytelling Approach

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    It is necessary to develop digital literacy skills with which students can communicate and express their ideas effectively using digital media. The educational sectors around the world are beginning to incorporate digital literacy into the curriculum. Digital storytelling, one of the possible classroom activities, is an approach which may help engage and motivate students to learn digital literacy skills. To investigate this approach, the present small-scale study employs the methods including interviewing and analysing the artefacts of three students selected from a purposive sample on a multimedia course. The findings indicate that the three students have improved in terms of three aspects of digital literacy skills, namely, digital competence, digital usage and digital transformation regardless of their prior knowledge and levels of digital literacy.

    Type 1 adenylyl cyclase is essential for maintenance of remote contextual fear memory

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    Although molecular mechanisms for hippocampus-dependent memory have been extensively studied, much less is known about signaling events important for remote memory. Here we report that mice lacking type 1 adenylyl cyclase (AC1) are able to establish and retrieve remote contextual memory but unable to sustain it as long as wild-type mice. Interestingly, mice overexpressing AC1 show superior remote contextual memory even though they exhibit normal hippocampus-dependent contextual memory. These data illustrate that calcium coupling to cAMP contributes to the stability of remote memory and identifies AC1 as a potential drug target site to improve long-term remote memory

    Eigentheory of Cayley-Dickson algebras

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    We show how eigentheory clarifies many algebraic properties of Cayley-Dickson algebras. These notes are intended as background material for those who are studying this eigentheory more closely.Comment: 17 page

    Enabling multiplexed testing of pooled donor cells through whole-genome sequencing

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    We describe a method that enables the multiplex screening of a pool of many different donor cell lines. Our method accurately predicts each donor proportion from the pool without requiring the use of unique DNA barcodes as markers of donor identity. Instead, we take advantage of common single nucleotide polymorphisms, whole-genome sequencing, and an algorithm to calculate the proportions from the sequencing data. By testing using simulated and real data, we showed that our method robustly predicts the individual proportions from a mixed-pool of numerous donors, thus enabling the multiplexed testing of diverse donor cells en masse.National Human Genome Research Institute (U.S.) (Grant RM1HG008525)Robert Wood Johnson Foundation (Grant 74178

    Robust Phase Retrieval with Green Noise Binary Masks

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    Phase retrieval with pre-defined optical masks can provide extra constraint and thus achieve improved performance. The recent progress in optimization theory demonstrates the superiority of random masks in phase retrieval algorithms. However, traditional approaches just focus on the randomness of the masks but ignore their non-bandlimited nature. When using these masks in the reconstruction process for phase retrieval, the high frequency part of the masks is often removed in the process and thus leads to degraded performance. Based on the concept of digital halftoning, this paper proposes a green noise binary masking scheme which can greatly reduce the high frequency content of the masks while fulfilling the randomness requirement. The experimental results show that the proposed green noise binary masking scheme outperform the traditional ones when using in a DMD-based coded diffraction pattern phase retrieval system
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