GridSet: Visualizing Individual Elements and Attributes for Analysis of Set-Typed Data.

We present GridSet, a novel set visualization for exploring elements, their attributes, intersections, as well as entire sets. In this set visualization, each set representation is composed of glyphs, which represent individual elements and their attributes utilizing different visual encodings. In each set, elements are organized within a grid treemap layout that can provide space-efficient overviews of the elements structured by set intersections across multiple sets. These intersecting elements can be connected among sets through visual links. These visual representations for the individual set, elements, and intersection in GridSet facilitate novel interaction approaches for undertaking analysis tasks by utilizing both macroscopic views of sets, as well as microscopic views of elements and attribute details. In order to perform multiple set operations, GridSet supports a simple and straightforward process for set operations through dragging and dropping set objects. Our use cases involving two large set-typed datasets demonstrate that GridSet facilitates the exploration and identification of meaningful patterns and distributions of elements with respect to attributes and set intersections for solving complex analysis problems in set-typed data.

Towards Systematic Design Considerations for Visualizing Cross-View Data Relationships.

Due to the scale of data and the complexity of analysis tasks, insight discovery often requires coordinating multiple visualizations (views), with each view displaying different parts of data or the same data from different perspectives. For example, to analyze car sales records, a marketing analyst uses a line chart to visualize the trend of car sales, a scatterplot to inspect the price and horsepower of different cars, and a matrix to compare the transaction amounts in types of deals. To explore related information across multiple views, current visual analysis tools heavily rely on brushing and linking techniques, which may require a significant amount of user effort (e.g., many trial-and-error attempts). There may be other efficient and effective ways of displaying cross-view data relationships to support data analysis with multiple views, but currently there are no guidelines to address this design challenge. In this article, we present systematic design considerations for visualizing cross-view data relationships, which leverages descriptive aspects of relationships and usable visual context of multi-view visualizations. We discuss pros and cons of different designs for showing cross-view data relationships, and provide a set of recommendations for helping practitioners make design decisions.

A Survey of Software Frameworks for Cluster-Based Large High-Resolution Displays.

Large high-resolution displays (LHRD) enable visualization of extremely large-scale data sets with high resolution, large physical size, scalable rendering performance, advanced interaction methods, and collaboration. Despite the advantages, applications for LHRD can be developed only by a select group of researchers and programmers, since its software implementation requires design and development paradigms different from typical desktop environments. It is critical for developers to understand and take advantage of appropriate software tools and methods for developing their LHRD applications. In this paper, we present a survey of the state-of-the-art software frameworks and applications for cluster-based LHRD, highlighting a three-aspect taxonomy. This survey can aid LHRD application and framework developers in choosing more suitable development techniques and software environments for new LHRD applications, and guide LHRD researchers to open needs in LHRD software frameworks.

Degradation of fibrillar forms of Alzheimer's amyloid beta-peptide by macrophages.

Cultured microglia internalize fibrillar amyloid Abeta (fAbeta) and deliver it to lysosomes. Degradation of fAbeta by microglia is incomplete, but macrophages degrade fAbeta efficiently. When mannose-6 phosphorylated lysosomal enzymes were added to the culture medium of microglia, degradation of fAbeta was increased, and the increased degradation was inhibited by excess mannose-6-phosphate, which competes for binding and endocytic uptake. This suggests that low activity of one or more lysosomal enzymes in the microglia was responsible for the poor degradation of fAbeta. To further characterize the degradation of fAbeta in late endosomes and lysosomes, we analyzed fAbeta-derived intracellular degradation products in macrophages and microglia by mass spectrometry. Fragments with truncations in the first 12 N-terminal residues were observed in extracts from both cell types. We also analyzed material released by the cells. Microglia released mainly intact Abeta1-42, whereas macrophages released a variety of N-terminal truncated fragments. These results indicate that initial proteolysis near the N-terminus is similar in both cell types, but microglia are limited in their ability to make further cuts in the fAbeta.