Graphs are a common means to represent structures in models and meta-models of software systems. In this context, the description of model domains by classifying the domain entities and their relations using class diagrams or type graphs has emerged as a very valuable principle. The constraints that can be imposed by pure typing are, however, relatively weak; it is therefore common practice to ...

A Smarandachely k-constrained labeling of a graph G(V, E) is a bijective mapping f : V ∪ E → {1, 2, .., |V | + |E|} with the additional conditions that |f(u) − f(v)| ≥ k whenever uv ∈ E, |f(u)−f(uv)| ≥ k and |f(uv)−f(vw)| ≥ k whenever u 6= w, for an integer k ≥ 2. A graph G which admits a such labeling is called a Smarandachely k-constrained total graph, abbreviated as k−CTG. The minimum number...

background: bacterial dna has immunostimulatory effects on different types of immune cells such as dendritic cells (dcs). application of dcs as a cellular adjuvant represents a promising approach in the immunotherapy of infectious disease and cancers. objectives: to investigate the effect of tumor antigen pulsed dcs in the presence of cpg-1826 in treatment of a murine model of cancer. methods: ...

We study optimal fiscal policy in a small open economy (SOE) with sovereign default risk. The SOE’s government uses linear taxation to fund exogenous expenditures and uses public debt to inter-temporally allocate tax distortions. We characterize a class of environments in which the tax on labor goes to zero in the long run, while the tax on capital income may be non-zero, reversing the standard...

In this paper we describe a learning framework for a central pattern generator (CPG)-based biped locomotion controller using a policy gradient method. Our goals in this study are to achieve CPG-based biped walking with a 3D hardware humanoid and to develop an efficient learning algorithm with CPG by reducing the dimensionality of the state space used for learning. We demonstrate that an appropr...

Clinical practice guidelines (CPGs) contain evidence-based recommendations to guide clinical care, policy development, and quality of care improvement. A recent systematic review of epilepsy guidelines identified considerable variability in the quality of available guidelines. Although excellent frameworks for CPG development exist, processes are not followed uniformly internationally, and reso...

CO2-Plume Geothermal (CPG) power plants can use geologically stored CO2 to generate electricity. In this study, a Flexible Plume (CPG-F) facility is introduced, which provide dispatchable power, energy storage, or both and storage simultaneously—providing baseload with for demand response. It found that CPG-F deliver more than CPG plant, but less daily production. For example, the produces 7.2 ...

Given a graph and a set of vertices, searching for a connected and minimum cost structure which spans the vertices is a classic problem. When no constraints are applied, the minimum cost spanning structure is a sub-graph corresponding to a tree. If all the vertices in the graph should be spanned the problem is referred to as minimum spanning tree (MST) construction and polynomial time algorithm...

We study optimal fiscal policy in a small open economy (SOE) with sovereign and private default risk. The SOE’s government uses linear taxation to fund exogenous expenditures and uses public debt to inter-temporally allocate tax distortions. We characterize a class of environments in which the tax on labor goes to zero in the long run, while the tax on capital income may be non-zero, reversing ...

We study a risk-constrained version of the stochastic shortest path (SSP) problem, where the risk measure considered is Conditional Value-at-Risk (CVaR). We propose two algorithms that obtain a locally risk-optimal policy by employing four tools: stochastic approximation, mini batches, policy gradients and importance sampling. Both the algorithms incorporate a CVaR estimation procedure, along t...