Dolichol phosphate mannose (DPM) synthase activity, which is required in N:-glycosylation, O-mannosylation, and glycosylphosphatidylinositol membrane anchoring of protein, has been postulated to regulate the Trichoderma reesei secretory pathway. We have cloned a T.reesei cDNA that encodes a 243 amino acid protein whose amino acid sequence shows 67% and 65% identity, respectively, to the Schizos...

Abstract The most commonly used variant of conjoint analysis is choice-based (CBC). Here, hierarchical Bayesian (HB) multinomial logit (MNL) models are widely for preference estimation at the individual respondent level. A new and very flexible approach to address multimodal skewed heterogeneity in context CBC Dirichlet Process Mixture (DPM) MNL model. number masses components do not have be pr...

The discrete particle method (DPM) is used to model granular flows down an inclined chute with varying basal roughness, thickness and inclination. We observe three major regimes: arresting flows, steady uniform flows and accelerating flows. For flows over a smooth base, other (quasi-steady) regimes are observed: for small inclinations the flow can be highly energetic and strongly layered in dep...

A dynamic pari-mutuel market (DPM) is a hybrid between a continuous double auction (CDA) and a pari-mutuel market. Like a CDA, a DPM incentivizes traders to reveal their information early. Like a pari-mutuel market, a DPM has infinite liquidity, allowing trades at any time. In this paper, we examine empirical questions related to DPMs: Do prices in DPMs predict events of interests? How do trade...

Five temperature-sensitive lysis mutants were found to possess very low diaminopimelic acid (Dpm) adding enzyme activity in vitro. Murein synthesis at 42 C was impaired, and uridine-5'-diphosphate-N-acetyl-muramyl-l-Ala- d-Glu (UDP-MurNAc-dipeptide) was accumulated. In the presence of NaCl, the mutants could grow at 42 C. NaCl had no influence on the Dpm adding enzyme activity in vitro. The gro...

The mass of the embedded systems are driven by second batteries, not by wired power supply. So saving energy is one of the main design goals for embedded system. In this paper we present a new technique for modelling and solving the dynamic power management (DPM) problem for embedded systems with complex behavioural characteristics. First we model a power-managed embedded computing system as a ...

We report on the synthesis of the Discrete Element Method (DEM) modelling the behaviour of granular materials and a finite volume model for the continuous interstitial fluid using Computational Fluid Dynamics (CFD). DEM captures the physics of granular materials best but is computationally time-consuming. For this reason, the DEM is complemented by a Discrete Phase Model (DPM) for disperse gran...

Self-assembled polymeric micelles have been widely applied in drug delivery systems. In this study, we found that pH value of micellar system solution was the decisive factor of physical stability. Furthermore, the weak basic solution could maintain the solution clarification for a relative long time. To investigate the stability of polymeric micelles in different pH solutions, the micellar par...

The Deformable Parts Model (DPM) has recently emerged as a very useful and popular tool for tackling the intra-category diversity problem in object detection. In this paper, we summarize the key insights from our empirical analysis of the important elements constituting this detector. More specifically, we study the relationship between the role of deformable parts and the mixture model compone...