Unlike the core structural elements of a protein like regular secondary structure, template based modeling (TBM) has difficulty with loop regions due to their variability in sequence and structure as well as the sparse sampling from a limited number of homologous templates. We present a novel, knowledge-based method for loop sampling that leverages homologous torsion angle information to estima...

40 min after a single injection of 50 μCi of tritiated thymidine a 3 mm punch of DBA-1 mouse skin contains about 1000 dpm . This value remains constant for at least 48 hr after injection . 50 hair follicles contain about 40 dpm, and from these values the activity calculated to reside in the basal layer of a 3 mm punch of skin is 760 dpm . These values also remain constant with time after inject...

Energy consumption has become a first-class optimization goal in design and implementation of dataintensive computing systems. This is particularly true in the design of database management systems (DBMS), which was found to be the major consumer of energy in the software stack of modern data centers. Among all database components, the storage system is one of the most power-hungry elements. In...

This study was designed to test the effectiveness of the Dual Process Model (DPM) of coping with bereavement. The sample consisted of 298 recently widowed women (61%) and men age 50+ who participated in 14 weekly intervention sessions and also completed before (O1) and after (O2) self-administered questionnaires. While the study also includes two additional follow-up assessments (O3 and O4) tha...

This paper proposes a new efficient merge-split sampler for both conjugate and nonconjugate Dirichlet process mixture (DPM) models. These Bayesian nonparametric models are usually fit usingMarkov chain Monte Carlo (MCMC) or sequential importance sampling (SIS). The latest generation of Gibbs and Gibbs-like samplers for both conjugate and nonconjugate DPM models effectively update the model para...

Execution time is no longer the only performance metric for computer systems. In fact, a trend is emerging to trade raw performance for energy savings. Techniques like Dynamic Power Management (DPM, switching to low power state) and Dynamic Voltage and Frequency Scaling (DVFS, throttling processor frequency) help modern systems to reduce their power consumption while adhering to performance req...

−Diesel particulate matter (DPM) often contains small amounts of metal as a minor component but this metal may contribute to adverse health effects. Knowledge of the mechanism for particle formation as well as the size preference of the trace metals is critical to understanding the potential for health concerns. To achieve this, the size and the composition of each particle should be optimally ...

We propose new global artificial boundary conditions (ABC’s) for computation of flows with propulsive jets. The algorithm is based on application of the difference potentials method (DPM). Previously, similar boundary conditions have been implemented for calculation of external compressible viscous flows around finite bodies. The proposed modification substantially extends the applicability ran...

Long-term reliability of processors in embedded systems is experiencing growing attention since decreasing feature sizes and increasing power consumption have a negative influence on the lifespan. Among other measures, the reliability can be influenced significantly by Dynamic Power Management (DPM), since it affects the processor’s temperature. Compared to single-core systems reconfigurable mu...

The Dirichlet process mixtures (DPM) can automatically infer the model complexity from data. Hence it has attracted significant attention recently, and is widely used for model selection and clustering. As a generative model, it generally requires prior base distribution to learn component parameters by maximizing posterior probability. In contrast, discriminative classifiers model the conditio...