Large Graph Analysis in the GMine System

Current applications have produced graphs on the order of hundreds of thousands of nodes and millions of edges. To take advantage of such graphs, one must be able to find patterns, outliers and communities. These tasks are better performed in an interactive environment, where human expertise can guide the process. For large graphs, though, there are some challenges: the excessive processing requirements are prohibitive, and drawing hundred-thousand nodes results in cluttered images hard to comprehend. To cope with these problems, we propose an innovative framework suited for any kind of tree-like graph visual design. GMine integrates (a) a representation for graphs organized as hierarchies of partitions - the concepts of SuperGraph and Graph-Tree; and (b) a graph summarization methodology - CEPS. Our graph representation deals with the problem of tracing the connection aspects of a graph hierarchy with sub linear complexity, allowing one to grasp the neighborhood of a single node or of a group of nodes in a single click. As a proof of concept, the visual environment of GMine is instantiated as a system in which large graphs can be investigated globally and locally

On the slowly time dependent problem of squeeze film bearings

Time dependency of spherical squeeze-film bearing for use in suspension of precision gyroscope outpu

Dynamic response of a double squeeze-film thrust plate

Dynamic response of gaseous double squeeze film thrust plate for bearing

Farm Level Impacts of Bt Corn Adoption in a Developing Country: Evidence from the Philippines

This article examines the ex post farm-level impacts of Bt corn adoption in the Philippines. Using an econometric approach that addresses simultaneity, selection, and censoring problems, we show that Bt corn adoption provides modest but statistically significant increases in farm-level yields and profits. Furthermore, our results suggest that farm-level yield and profit impacts of Bt corn adoption are underestimated when censoring in the pesticide application variable is not considered in the estimation procedures. Previous literature have emphasized the importance of simultaneity and selection problems but this is the first study that have raised the issue of censoring problems in estimating the farm-level effects of Bt corn adoption.Bt, censoring, corn, farm level impacts genetically modified crops, pesticide use, technology adoption, Crop Production/Industries, Q12, Q16,

Impact Assessment of Bt Corn Adoption in the Philippines

This article examines the impact of Bt corn adoption in the Philippines using an econometric approach that addresses simultaneity, selection, and censoring problems. Although previous literature emphasizes the importance of simultaneity and selection problems, this is the first study that addresses the issue of censoring in estimating the effects of Bt corn adoption at the farm in a developing country context. We show that Bt corn adoption provides modest but statistically significant increases in farm yields and profits. Furthermore, our results provide some evidence of inference errors that can potentially arise when censoring in the pesticide application variable is ignored in the estimation procedures.Bt, censoring, corn, farm level impacts, genetically modified crops, pesticide use, technology adoption, International Development, Production Economics, Q12, Q16,

Some Conceptual and Scaling Evaluations of Snowmelt Events Forced by Warm Soil

Snowfall occasionally occurs over bare soil with high thermal storage in its upper layer. Quantification and generalization of the potential impact of the thermal storage on episodic snowmelt is evaluated using a scaling approach and assuming negligible net thermal flux at the snow cover top. Soil thermal flux contribution to snowmelt is found to be affected significantly by the level of soil wetness. It is shown that, for a soil temperature of 10°C prior to the snowfall, the contribution of wet soil thermal flux is significant within the first 12 h when compared with intense surface moist enthalpy flux or solar radiation. Implications of these results to modeling of snowmelt using coupled soil–atmosphere models are elaborated

Developing an immunocompetent mouse model of renal cell carcinoma bone metastasis

https://openworks.mdanderson.org/sumexp23/1095/thumbnail.jp

Robust 6D Object Pose Estimation by Learning RGB-D Features

Accurate 6D object pose estimation is fundamental to robotic manipulation and grasping. Previous methods follow a local optimization approach which minimizes the distance between closest point pairs to handle the rotation ambiguity of symmetric objects. In this work, we propose a novel discrete-continuous formulation for rotation regression to resolve this local-optimum problem. We uniformly sample rotation anchors in SO(3), and predict a constrained deviation from each anchor to the target, as well as uncertainty scores for selecting the best prediction. Additionally, the object location is detected by aggregating point-wise vectors pointing to the 3D center. Experiments on two benchmarks: LINEMOD and YCB-Video, show that the proposed method outperforms state-of-the-art approaches. Our code is available at https://github.com/mentian/object-posenet.Comment: Accepted at ICRA 202

#DiminishingDiscrimination:The symbolic annihilation of race and racism in news hashtags of “calling 911 on black people"

This critical textual analysis examines the symbolic annihilation of race and racisms by the use of hashtags, such as #BBQBecky and #CornerstoreCaroline, in news coverage of White people in the United States who called or threatened to call 911 to report everyday behavior of Black individuals in 2018. This study argues that the use of humorous and virtual hashtags to represent the callers contributed to overall coverage of racially charged incidents in ways that reduced the events’ seriousness in terms of social policing of Black individuals. Collectively, this coverage formed a type of symbolic annihilation of racist interpretations of callers’ acts and Black resistance and meanings embedded within the hashtags themselves