We consider matrix completion for recommender systems from the point of view of link prediction on graphs. Interaction data such as movie ratings can be represented by a bipartite user-item graph with labeled edges denoting observed ratings. Building on recent progress in deep learning on graph-structured data, we propose a graph auto-encoder framework based on differentiable message passing on...

The cross-sectional associations between lifetime emotional disorder status (anxiety/depressive disorders) among smokers in relation to historical quit processes were examined. Adult treatment-seeking daily cigarette smokers (n=472) received structured psychiatric interviews and completed a survey that included in-depth questions on cessation history. Having a lifetime emotional disorder was si...

INTRODUCTION This paper reports, for the first time, the presence of the Eratyrus mucronatus species in the State of Rondonia, Brazil. METHODS These specimens were caught by chance in the forest and later they were collected using luminous traps. RESULTS After finding these specimens, the number of the Triatominae genera in Rondonia rose to four, while its species rose to seven. CONCLUSIO...

The combination of breast examination and radiographic mammography (XRMM) are the established methods for breast cancer detection. However, XRMM lacks sensitivity and specificity in women with dense breasts, leading to false positive findings in 80% and false negative findings in 10% to 15% of the cases. Tc-99m Sestamibi (MIBI) scintimammography (SMM) is a new breast-imaging technique. This stu...

Contemporary virtual worlds provide unique environments in which users may collaborate in the development of shared digital artifacts. However, the ways in which such collaboration takes place is to date under researched. This paper uses an activity theory perspective to analyze the development activities of two communities within the virtual world of Second Life, based on data gathered using e...

In this paper we introduce ZhuSuan, a python probabilistic programming library for Bayesian deep learning, which conjoins the complimentary advantages of Bayesian methods and deep learning. ZhuSuan is built upon Tensorflow. Unlike existing deep learning libraries, which are mainly designed for deterministic neural networks and supervised tasks, ZhuSuan is featured for its deep root into Bayesia...

Interorganizational processes have been described as an intricately choreographed dance. Standardized workflow serves as a medium for participants to exchange complimentary moves that comprise the ‘dance’. Attempts to develop open process standards, such as Rosetta Net, have had limited success in finding wide-spread adoption. We argue that standardization of interorganizational business proces...

When the wavelength of the ultrasound being used to characterize a flaw is of the same order of magnitude as the flaw size, conventional low and high frequency scattering approximations fail. In this frequency range, called here the resonance region, numerical methods are necessary. Here we show that one such method, the Boundary Integral Equation (BIE) Method, is an effective tool for solving ...

Ambient Interface research has the goal of embedding technology that disappears into the user’s surroundings. In many ways Augmented Reality (AR) technology is complimentary to this in that AR interfaces seamlessly enhances the real environment with virtual information overlay. The two merge together in context aware Ambient AR applications, which allow users to easily perceive and interact wit...

This paper presents a new family of complex spreading sequences designed using mutually orthogonal(MO) complementary sets. Based on the technique described in this paper, the correlation properties ofsets ofsequences are compared to well-known Walsh-Hadamard sequence sets. Further improvement of correlation qualities can be achieved by employing a diagonal modification method. We also present s...