Hardware has become an increasingly attractive target for attackers, yet we still largely lack tools that enable us to analyze large designs for security flaws. Information flow tracking (IFT) models provide an approach to verifying a hardware design's adherence to security properties related to isolation and reachability. However, existing precise IFT models are usually too complex to actually use. Queries may fail to finish even for small designs when verifying relatively simple properties. It is possible to create less complex models, but these come at the cost of a severe loss of precision - -they frequently indicate a property fails when in fact it passes, which means verification requires extensive additional manual investigation. We present a new method to bridge the chasm between precision and complexity in a finer-grained, controlled, and disciplined manner. Our method allows using the most appropriate precision/complexity tradeoff for the design size and available computing resources, meaning it is now possible to create models that are not too complex to be usable, but which offer more precision (fewer false positives) than was previously possible.

Mortalin [also known as heat shock protein family A (HSP70) member 9 (HSPA9) or glucose-regulated protein 75 (GRP75)] is a mitochondrial molecular chaperone that is often up-regulated and mislocalized in tumors with abnormal activation of the kinases MEK and ERK. Here, we found that mortalin depletion was selectively lethal to tumor and immortalized normal cells expressing the mutant kinase B-RafV600E or the chimeric protein ΔRaf-1:ER and that MEK-ERK-sensitive regulation of the peptide-binding domain in mortalin was critical to cell survival or death. Proteomics screening identified adenine nucleotide translocase 3 (ANT3) as a previously unknown mortalin substrate and cell survival/death effector. Mechanistically, increased MEK-ERK signaling activity and mortalin function converged opposingly on the regulation of mitochondrial permeability. Specifically, whereas MEK-ERK activity increased mitochondrial permeability by promoting the interaction between ANT3 and the peptidyl-prolyl isomerase cyclophilin D (CypD), mortalin decreased mitochondrial permeability by inhibiting this interaction. Hence, mortalin depletion increased mitochondrial permeability in MEK-ERK-deregulated cells to an extent that triggered cell death. HSP70 inhibitor derivatives that effectively inhibited mortalin suppressed the proliferation of B-RafV600E tumor cells in culture and in vivo, including their B-Raf inhibitor-resistant progenies. These findings suggest that targeting mortalin has potential as a selective therapeutic strategy in B-Raf-mutant or MEK-ERK-driven tumors.

We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, exploring the transient optical sky, and mapping the Milky Way. LSST will be a large, wide-field ground-based system designed to obtain repeated images covering the sky visible from Cerro Pachón in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg 2 field of view, a 3.2-gigapixel camera, and six filters (ugrizy) covering the wavelength range 320-1050 nm. The project is in the construction phase and will begin regular survey operations by 2022. About 90% of the observing time will be devoted to a deep-wide-fast survey mode that will uniformly observe a 18,000 deg 2 region about 800 times (summed over all six bands) during the anticipated 10 yr of operations and will yield a co-added map to r ∼27.5. These data will result in databases including about 32 trillion observations of 20 billion galaxies and a similar number of stars, and they will serve the majority of the primary science programs. The remaining 10% of the observing time will be allocated to special projects such as Very Deep and Very Fast time domain surveys, whose details are currently under discussion. We illustrate how the LSST science drivers led to these choices of system parameters, and we describe the expected data products and their characteristics.