Fast Self-Healing Gradients

We present CRF-Gradient, a self-healing gradient algorithm that provably reconfigures in O(diameter) time. Self-healing gradients are a frequently used building block for distributed self-healing systems, but previous algorithms either have a healing rate limited by the shortest link in the network or must rebuild invalid regions from scratch. We have verified CRF-Gradient in simulation and on a network of Mica2 motes. Our approach can also be generalized and applied to create other self-healing calculations, such as cumulative probability fields

QUOTIENT: Two-Party Secure Neural Network Training and Prediction

Recently, there has been a wealth of effort devoted to the design of secure protocols for machine learning tasks. Much of this is aimed at enabling secure prediction from highly-accurate Deep Neural Networks (DNNs). However, as DNNs are trained on data, a key question is how such models can be also trained securely. The few prior works on secure DNN training have focused either on designing custom protocols for existing training algorithms, or on developing tailored training algorithms and then applying generic secure protocols. In this work, we investigate the advantages of designing training algorithms alongside a novel secure protocol, incorporating optimizations on both fronts. We present QUOTIENT, a new method for discretized training of DNNs, along with a customized secure two-party protocol for it. QUOTIENT incorporates key components of state-of-the-art DNN training such as layer normalization and adaptive gradient methods, and improves upon the state-of-the-art in DNN training in two-party computation. Compared to prior work, we obtain an improvement of 50X in WAN time and 6% in absolute accuracy

Genome-Wide Association Meta-Analysis of Cortical Bone Mineral Density Unravels Allelic Heterogeneity at the RANKL Locus and Potential Pleiotropic Effects on Bone

Previous genome-wide association (GWA) studies have identified SNPs associated with areal bone mineral density (aBMD). However, this measure is influenced by several different skeletal parameters, such as periosteal expansion, cortical bone mineral density (BMDC) cortical thickness, trabecular number, and trabecular thickness, which may be under distinct biological and genetic control. We have carried out a GWA and replication study of BMDC, as measured by peripheral quantitative computed tomography (pQCT), a more homogenous and valid measure of actual volumetric bone density. After initial GWA meta-analysis of two cohorts (ALSPAC n = 999, aged ∼15 years and GOOD n = 935, aged ∼19 years), we attempted to replicate the BMDC associations that had p<1×10−5 in an independent sample of ALSPAC children (n = 2803) and in a cohort of elderly men (MrOS Sweden, n = 1052). The rs1021188 SNP (near RANKL) was associated with BMDC in all cohorts (overall p = 2×10−14, n = 5739). Each minor allele was associated with a decrease in BMDC of ∼0.14SD. There was also evidence for an interaction between this variant and sex (p = 0.01), with a stronger effect in males than females (at age 15, males −6.77mg/cm3 per C allele, p = 2×10−6; females −2.79 mg/cm3 per C allele, p = 0.004). Furthermore, in a preliminary analysis, the rs1021188 minor C allele was associated with higher circulating levels of sRANKL (p<0.005). We show this variant to be independent from the previously aBMD associated SNP (rs9594738) and possibly from a third variant in the same RANKL region, which demonstrates important allelic heterogeneity at this locus. Associations with skeletal parameters reflecting bone dimensions were either not found or were much less pronounced. This finding implicates RANKL as a locus containing variation associated with volumetric bone density and provides further insight into the mechanism by which the RANK/RANKL/OPG pathway may be involved in skeletal development

Role expectations as antecedents of citizenship and the moderating effects of work context.

In this field study of 198 incumbents, we examine how facets of work context affect the relationship between employees’ role expectations and supervisor ratings of their citizenship. Building on an emerging focus in the citizenship literature, we expand the scope of role perceptions to capture employees’ beliefs about the importance of various work activities and worker attributes needed for successful role performance (i.e., role expectations). Results support the role theory framework that we develop and suggest that aspects of both the social and task context moderate the relationship between employees’ role expectations for prosocial role requirements and citizenship. Implications of these results for both theory and practice in the citizenship area are discussed, as are directions for further research

A scale of consumer engagement

The practitioner literature is replete with examples of firm efforts to engage consumers. However, the existing relationship marketing constructs focus primarily on customer retention. This research examines those offerings or activities of firms that aim to engage prospects, potentials, customers and their extended relationships, together addressed as consumers in this research. Contributing to the recent efforts to expand the domain of relationship marketing, this research develops the construct of Consumer Engagement, which is the intensity of the consumer's participation and connection with the organization's offerings and/ or its organized activities. Using several qualitative methods, this research develops the construct of Consumer Engagement, differentiating it from existing constructs, such as involvement and customer communities. The qualitative studies in this research show that consumers may be engaged with offerings (e.g. iPod), activities (e.g. Beauty workshops), institutions (Ikea), or brands (e.g. Apple). These offerings/ activities might come from profit-making or non-profit organizations. Engagement might be in the presence or absence of other consumers, and might happen online or offline. Consumers may also be engaged through activities organized by the businesses or by consumers themselves. Using established quantitative scale development procedures, the consumer engagement scale is developed, refined and validated. Consumer Engagement is a three-dimensional, second-order construct, composed of enthusiasm, conscious participation and social interaction. These dimensions are verified using exploratory and confirmatory factor analysis and validated on three different data sets, representing product usage, retail service and activity. The exploration of consumer engagement helps us understand the participation and connection of consumers, independent of their commercial transactions with the company. This research shows that even routine products and brands can engage a consumer, which, in turn, positively influences their connection with the firm, and feelings of goodwill towards and intent to do business with the firm. (Published By University of Alabama Libraries