64 research outputs found

    SECURITY AND OTHER VULNERABILITY PREDICTION USING NOVEL DEEP REPRESENTATION OF SOURCE CODE WITH ACTIVE FEEDBACK LOOP

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    Since the cost of fixing vulnerabilities can be thirty times greater after an application has been deployed, it is recognized that properly-written code can yield potentially large savings. Accordingly, approaches presented herein apply machine learning and Artificial Intelligence (AI) techniques to improve developer experience by enabling developers to avoid introducing potential bugs and/or vulnerabilities while coding. Billions of lines of source code, which have already been written, are utilized as examples of how to write functional and secure code that is easy to read and to debug. By leveraging this wealth of available data, which is complemented with state-of-art machine learning models, enterprise-level software solutions can be developed that have a high standard of coding and are potentially bug-free

    Vault-1 - A Mission Architecture for Human Exploration of Near-Earth Objects

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    In 2011, the Keck Institute for Space Studies hosted the Caltech Space Challenge, a week long workshop/competition directed towards the President's initiative of sending astronauts to an asteroid by 2025. Two teams composed of 16 students each, representing 12 different nations, competed to prepare a mission proposal by the end of the week. This report highlights some of the work done by Team Voyager. Not only is this work useful in showing that a manned mission to a Near-Earth Object is feasible by 2025, but it also demonstrates the utility of intense, relatively short student competitions. This study is an outline of Vault-1, a proposed human mission to a Near-Earth Object. In addition to continuing human exploration, Vault-1 aims to make new discoveries about the origins of the Solar System, to develop technologies geared towards deep space exploration and a manned Mars mission, and to gain critical knowledge and experience to better protect Earth from future asteroid impacts. The primary target of this endeavor is 1999AO10, an asteroid that is larger than 30 m that also has an achievable mission duration of less than 200 days. 2000SG344 is a viable secondary target. Vault-1 will nominally carry 3 crew members to 1999AO10; after 14 days at the asteroid, the astronauts will return safely to the Earth with samples from the asteroid

    Current Trends in Nanoporous Anodized Alumina Platforms for Biosensing Applications

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    Pristine aluminum (Al) has received great deal of attention on fabrication of nanoporous anodized alumina (NAA) with arrays of nanosized uniform pores with controllable pore sizes and lengths by the anodization process. There are many applications of NAA in the field of biosensors due to its numerous key factors such as ease of fabrication, high surface area, chemical stability and detection of biomolecules through bioconjugation of active molecules, its rapidness, and real-time monitoring. Herein, we reviewed the recent trends on the fabrication of NAA for high sensitive biosensor platforms like bare sensors, gold coated sensors, multilayer sensors, and microfluidic device supported sensors for the detection of various biomolecules. In addition, we have discussed the future prospectus about the improvement of NAA based biosensors for the detection of biomolecules

    withdrawn 2017 hrs ehra ecas aphrs solaece expert consensus statement on catheter and surgical ablation of atrial fibrillation

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    Community recommendations on cryoEM data archiving and validation

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    In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for the deposition and validation of cryoEM structures, with a focus on single-particle analysis. The meeting was attended by 47 experts in data processing, model building and refinement, validation, and archiving of such structures. This report describes the workshop’s motivation and history, the topics discussed, and the resulting consensus recommendations. Some challenges for future methods-development efforts in this area are also highlighted, as is the implementation to date of some of the recommendations.The workshop was supported by funding to PDBe and EMDB by the Wellcome Trust (grant No. 104948/Z/14/Z awarded to GJK, SV and AP) and by the European Molecular Biology Laboratory. Travel was supported by the PDBe, EMDB, RCSB PDB, PDBj, BMRB and EMDR. RCSB PDB is jointly funded by the National Science Foundation (grant No. DBI1832184); the US Department of Energy (grant No. DESC0019749); and the National Cancer Institute, National Institute of Allergy and Infectious Diseases, and National Institute of General Medical Sciences of the National Institutes of Health (grant No. R01GM133198). PDBj is funded by JST-NBDC and BMRB by the National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health (NIH) (grant No. R24GM150793). EMDR was funded by the NIGMS of the NIH (grant No. R01GM079429).Peer reviewe

    Microstructural Response of Magnesium Alloys: 3D Crystal Plasticity and Experimental Validation

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    Lightweight materials such as Aluminum are prevalent in aerospace and automotive vehicles, but the use of lighter Magnesium alloys will significantly increase fuel efficiency and cut emissions. Magnesium alloys present a wide array of unsolved scientific challenges, such as the deformation response of the slip and twin systems and the influence of dislocation interactions and twinning on tensile and fatigue behavior. In this thesis, a parallel three-dimensional(3D) crystal plasticity finite element open-source code was developed based on the deal.II finite element framework as part of PRISMS-Plasticity. Rate-independent crystal plasticity was implemented by developing a nonlinear algorithm which enables all the slip systems to lie on or inside the yield surface, and a consistent tangent modulus ensures convergence for small loading increments. A twin activation mechanism was incorporated into the framework based on a quadrature point sensitive scheme. Furthermore, by bounding the L2-norm of the plastic-slip, load-step adaptivity is enabled. The code demonstrates parallel performance and scaling on large-scale problems running on hundreds of processors. Using experimental microstructure images as input, the code has been used to compute, validate and investigate response of crystalline aggregates to mechanical loading; this leads to insights on slip and twin activity. Boundary value problems were set up to compare the displacement and strain fields obtained by Scanning Electron Microscope - surface Digital Image Correlation (DIC) experiments for Magnesium alloy WE-43 T5 and T6 tempers with the crystal plasticity finite element simulations. The results indicate a strong correlation between experiments and crystal plasticity finite element simulations. For further insight into the material behavior and to interpret the surface observations better, it is important to know the subsurface effects on the surface behavior. 3D reconstruction of microstructures is growing to be a major topic of interest in the field of modeling and simulation for comparison with experiments. An inverse Voronoi problem approach is used to construct an approximate Voronoi representation of the surface microstructure by generating a convexified representation of the microstructure. The output is combined with random sections of Electron backscatter diffraction observations to build a 3D microstructure. Comparisons are made with surface DIC measurements for random samples of 3D microstructures and they indicate the effect of the underlying microstructure on the surface plastic strain. These developed methods will serve as powerful tools in an Integrated Computational Materials Engineering framework towards accelerating alloy development and in better understanding the mechanical behavior of materials.PHDAerospace EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/140884/1/sriramg_1.pd
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