Proteins that contain a functional Z-DNA-binding domain localize to cytoplasmic stress granules

Long double-stranded RNA may undergo hyper-editing by adenosine deaminases that act on RNA (ADARs), where up to 50% of adenosine residues may be converted to inosine. However, although numerous RNAs may undergo hyper-editing, the role for inosine-containing hyper-edited double-stranded RNA in cells is poorly understood. Nevertheless, editing plays a critical role in mammalian cells, as highlighted by the analysis of ADAR-null mutants. In particular, the long form of ADAR1 (ADAR1(p150)) is essential for viability. Moreover, a number of studies have implicated ADAR1(p150) in various stress pathways. We have previously shown that ADAR1(p150) localized to cytoplasmic stress granules in HeLa cells following either oxidative or interferon-induced stress. Here, we show that the Z-DNA-binding domain (Zα(ADAR1)) exclusively found in ADAR1(p150) is required for its localization to stress granules. Moreover, we show that fusion of Zα(ADAR1) to either green fluorescent protein (GFP) or polypyrimidine binding protein 4 (PTB4) also results in their localization to stress granules. We additionally show that the Zα domain from other Z-DNA-binding proteins (ZBP1, E3L) is likewise sufficient for localization to stress granules. Finally, we show that Z-RNA or Z-DNA binding is important for stress granule localization. We have thus identified a novel role for Z-DNA-binding domains in mammalian cells

Novel Simulation-Inspired Roller Spreading Strategies for Fine and Highly Cohesive Metal Powders

When fine powders are to be used in powder bed metal additive manufacturing (AM), a roller is typically utilized for spreading. However, the cohesive nature of fine metal powder still presents challenges, resulting in low density and/or inconsistent layers under sub-standard spreading conditions. Here, through computational parameter studies with an integrated discrete element-finite element (DEM-FEM) framework, we explore roller-based strategies that are predicted to achieve highly cohesive powder layers. The exemplary feedstock is a Ti-6Al-4V 0-20 um powder, that is emulated using a self-similarity approach based on experimental calibration. The computational studies explore novel roller kinematics including counter-rotation as well as angular and transverse oscillation applied to standard rigid rollers as well as coated rollers with compliant or non-adhesive surfaces. The results indicate that most of these approaches allow to successfully spread highly cohesive powders with high packing fraction (between 50%-60% in a single layer) and layer uniformity provided that the angular/oscillatory, relative to the transverse velocity, as well as the surface friction of the roller are sufficiently high. Critically, these spreading approaches are shown to be very robust with respect to varying substrate conditions (simulated by means of a decrease in surface energy), which are likely to occur in LBPF or BJ, where substrate characteristics are the result of a complex multi-physics (i.e., powder melting or binder infiltration) process. In particular, the combination of the identified roller kinematics with compliant surface coatings, which are known to reduce the risk of tool damage and particle streaking in the layers, is recommended for future experimental investigation

Variational Perturbation Theory for Fokker-Planck Equation with Nonlinear Drift

We develop a recursive method for perturbative solutions of the Fokker-Planck equation with nonlinear drift. The series expansion of the time-dependent probability density in terms of powers of the coupling constant is obtained by solving a set of first-order linear ordinary differential equations. Resumming the series in the spirit of variational perturbation theory we are able to determine the probability density for all values of the coupling constant. Comparison with numerical results shows exponential convergence with increasing order.Comment: Author Information under http://www.theo-phys.uni-essen.de/tp/ags/pelster_dir

Spatial Mapping of Powder Layer Density for Metal Additive Manufacturing via X-ray Microscopy

Uniform powder spreading is a requisite for creating consistent, high-quality components via powder bed additive manufacturing (AM), wherein layer density and uniformity are complex functions of powder characteristics, spreading kinematics, and mechanical boundary conditions. High spatial variation in particle packing density, driven by the stochastic nature of the spreading process, impedes optical interrogation of these layer attributes. Thus, we present transmission X-ray imaging as a method for directly mapping the effective depth of powder layers at process-relevant scale and resolution. Specifically, we study layers of nominal 50-250 micrometer thickness, created by spreading a selection of commercially obtained Ti-6Al-4V, 316 SS, and Al-10Si-Mg powders into precision-depth templates. We find that powder layer packing fraction may be predicted from a combination of the relative thickness of the layer as compared to mean particle size, and flowability assessed by macroscale powder angle of repose. Power spectral density analysis is introduced as a tool for quantification of defect severity as a function of morphology, and enables separate consideration of layer uniformity and sparsity. Finally, spreading is studied using multi-layer templates, providing insight into how particles interact with both previously deposited material and abrupt changes in boundary condition. Experimental results are additionally compared to a purpose-built discrete element method (DEM) powder spreading simulation framework, clarifying the competing role of adhesive and gravitational forces in layer uniformity and density, as well as particle motion within the powder bed during spreading

Improved radiative corrections and proton charge form factor from the Rosenbluth separation technique

We investigate whether the apparent discrepancy between proton electric form factor from measurements using the Rosenbluth separation technique and polarization transfer method is due to the standard approximations employed in radiative correction procedures. Inaccuracies due to both the peaking approximation and the soft-photon approximation have been removed in our simulation approach. In contrast to results from (e,e'p) experiments, we find them in this case to be too small to explain the discrepancy.Comment: 6 pages, 3 figure

Board 317: Improving Undergraduate STEM Writing: A Collaboration Between Instructors and Writing Center Directors to Improve Peer-Writing Tutor Feedback

Undergraduate STEM writing skills, especially in engineering fields, need improvement. Yet students in engineering fields often do not value writing skills and underestimate the amount of writing they will do in their careers. University writing centers can be a helpful resource, but peer writing tutors need to be prepared for the differences between writing for the humanities and writing in STEM fields. The Writing Assignment Tutor Training in STEM (WATTS) model is designed to improve tutor confidence and student writing. In this innovative training, the writing center supervisor collaborates with the STEM instructor to create a one-hour tutor-training where the tutors learn about the assignment content, vocabulary, and expectations. This multidisciplinary collaborative project builds on previous investigative work to determine the impact of WATTS on students, tutors, and faculty and to identify its mitigating and moderating effects. Data has been collected and analyzed from pre- and post- training surveys, interviews, and focus groups. In addition, the project studies WATTS effects on student writing pre- and post-tutoring. The team will use these results to develop a replicable, sustainable model for future expansion to other institutions and fields. By systematically collecting data and testing WATTS, the investigators will be able to identify its mitigating and moderating effects on different stakeholders and contribute valuable knowledge to STEM fields. This approach assesses the elements of the model that have the most impact and the extent to which WATTS can be used to increase collaboration between engineering instructors and writing centers. The project enables the investigators to expand WATTS to additional engineering courses, test key factors with more instructors, refine the process, and position WATTS for dissemination to a broad audience. As the cost of higher education rises, institutions are pressured to graduate students in four years and engineering curricula are becoming more complex. WATTS presents an economical, effective method to improve student writing in the discipline. Several factors indicate that it has the potential for broad dissemination and impact and will provide a foundation for a sustainable model for future work, as instructors become trainers for their colleagues, allowing additional ongoing expansion and implementation. WATTS serves as a model for institutions (large or small) to capitalize on existing infrastructure and resources to achieve large-scale improvements to undergraduate STEM writing while increasing interdisciplinary collaboration and institutional support