In this paper we re-evaluate Segerberg’s “full DDL” (Dynamic Doxastic Logic) from the perspective of Dynamic Epistemic Logic (DEL), in its beliefrevision-friendly incarnation. We argue that a correct version of full DDL must give up the Success Postulate for dynamic revision. Next, we present (an appropriately generalized and simplified version of) full DDL, showing that it is a generalization ...

Proteins containing the forkhead-associated domain (FHA) are known to act in biological processes such as DNA damage repair, protein degradation, and signal transduction. Here we report that DAWDLE (DDL), an FHA domain-containing protein in Arabidopsis, acts in the biogenesis of miRNAs and endogenous siRNAs. Unlike mutants of genes known to participate in the processing of miRNA precursors, suc...

As deep neural networks become more complex and input data-sets grow larger, it can take days or even weeks to train a deep neural network to the desired accuracy. Therefore, distributed Deep Learning at a massive scale is a critical capability, since it offers the potential to reduce the training time from weeks to hours. In this paper, we present a software-hardware co-optimized distributed D...

The Coronavirus pandemic during the past two years (March 2020 – March 2022) has accelerated investment in, and use of, digital distance learning (DDL). transition towards DDL in mainstream higher education this period expanded both terms of depth breadth. Few academic practitioners, observers, managers, or students could have foreseen rapid pace change. Unprecedented government interventions s...

Abstract Morgan and McIver’s weakest pre-expectation framework is one of the most well-established methods for deductive verification probabilistic programs. Roughly, idea to generalize binary state assertions real-valued expectations , which can measure expected values program quantities. While loop-free programs be analyzed by mechanically transforming expectations, verifying loops usually re...

Extended longevity is often correlated with increased resistance against various stressors. Insulin/IGF-1-like signaling (IIS) is known to have a conserved role in aging and cellular mechanisms against stress. In C. elegans, genetic studies suggest that heat-shock transcription factor HSF-1 is required for IIS to modulate longevity. Here, we report that the activity of HSF-1 is regulated by IIS...

On account of its many successes in inference tasks and imaging applications, Dictionary Learning (DL) related sparse optimization problems have garnered a lot research interest. In DL area, most solutions are focused on single-layer dictionaries, whose reliance handcrafted features achieves somewhat limited performance. With the rapid development deep learning, improved methods called Deep (DD...