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Differential privacy is a robust privacy standard that has been successfully applied to a range of data analysis tasks. But despite much recent work, optimal strategies for answering a collection of related queries are not known. We propose the matrix mechanism, a new algorithm for answering a workload of predicate counting queries. Given a workload, the(More)
We describe an efficient algorithm for releasing a provably private estimate of the degree distribution of a network. The algorithm satisfies a rigorous property of differential privacy, and is also extremely efficient, running on networks of 100 million nodes in a few seconds. Theoretical analysis shows that the error scales linearly with the number of(More)
A classification of spatial simulation models of fire and vegetation dynamics (landscape fire succession models or LFSMs) is presented. The classification was developed to provide a foundation for comparing models and to help identify the appropriate fire and vegetation processes and their simulation to include in coarse scale dynamic global vegetation(More)
Impairment of the ubiquitin proteasome system (UPS) has been proposed to play an important role in the pathogenesis of Parkinson's disease (PD). Mice with UPS impairment in the nigra have been used for investigating mechanisms underlying neurodegeneration and for testing pre-clinical drugs to treat PD. However, the pathological, biochemical and behavioral(More)
Parkinson's disease (PD), a progressive neurodegenerative movement disorder, is known to be caused by diverse pathological conditions resulting from dysfunction of the ubiquitin-proteasome system (UPS), mitochondria, and oxidative stress leading to preferential nigral dopamine (DA) neuron degeneration in the substantia nigra. In the present study, we(More)
Pramipexole (PPX), a dopamine (DA) receptor D3 preferring agonist, has been used as monotherapy or adjunct therapy to treat Parkinson's disease (PD) for many years. Several in vitro and in vivo studies in neurotoxin-induced DA neuron injury models have reported that PPX may possess neuroprotective properties. The present study is to evaluate the(More)
The necessity for capping carbon emission has significantly restricted the potential of modern data centers. For this matter, both industry and academia are proactively seeking opportunities on cross-layer power management schemes that could open a door for sustainable high-performance computing platform. In this paper we investigate an emerging trend in(More)
SpMV is a key linear algebra algorithm and has been widely used in many important application domains. As a result, numerous attempts have been made to optimize SpMV on GPUs to leverage their massive computational throughput. Although the previous work has shown impressive progress, load imbalance and high memory bandwidth remain the critical performance(More)
This paper proposes a method that automatically generates questions from queries for community-based question answering (cQA) services. Our query-to-question generation model is built upon templates induced from search engine query logs. In detail, we first extract pairs of queries and user-clicked questions from query logs, with which we induce question(More)