Adeno-associated viral (AAV) vectors show great promise for gene therapy because of their excellent safety profile; however, development of robust dose-determining assays for AAV has presented a significant challenge. With the ultimate goal of future harmonization and standardization of AAV dose determination assays, we systematically analyzed the influence of key variables, including sample pr...

We present a service-oriented architecture and a set of techniques for developing wrapper code generators, including the methodology of designing an effective wrapper program construction facility and a concrete implementation, called XWRAPComposer. Our wrapper generation framework has two unique design goals. First, we explicitly separate tasks of building wrappers that are specific to a Web s...

The rapid growth in the use of microarrays has generated many questions about how to design experiments that use this technology effectively. Investigators need answers to questions about RNA sample selection, allocation of samples to arrays, robustness of design, dye bias, sample size, and statistical power to ensure that the experimental objectives are achieved. We address some common questio...

In designing our study, we faced a tradeoff between analyzing a smaller sample with a homogeneous phenotype measure versus attaining a larger sample by jointly analyzing data from multiple cohorts with heterogeneous measures. For example, in our analysis of subjective well-being, we included measures of both life satisfaction and positive affect, even though these constructs are conceptually di...

In this paper, we consider the batch mode reinforcement learning setting, where the central problem is to learn from a sample of trajectories a policy that satisfies or optimizes a performance criterion. We focus on the continuous state space case for which usual resolution schemes rely on function approximators either to represent the underlying control problem or to represent its value functi...

We propose an optimization-based framework for designing linear edge detectors for topographic maps of cave inscriptions. This optimization framework requires an edge model, which is constructed from sample images. The optimization criteria are described and genetic algorithms are employed in an iterative fashion for finding optimal edge detectors. Thus, the optimization framework consists roug...

Hair forms an evolving boundary between the inside and outside of body, it is both separate from us a part us. At same time strongly directed by culture norms. With this project, we disturb shift these norms describing set speculative design explorations on hair. We describe outline practices techniques that are emerging. As such paper constitutes report points towards possibility hair as arena...