Abstract In this paper, we present an experimental assessment of the performance a partial evaporating organic Rankine cycle (PE-ORC) power system. The system converts low temperature heat into electrical energy, with size around 1 kW, thus suitable for micro-generation in residential sector. Although test bench was designed operating superheated vapour at expander inlet, it has demonstrated to...

introduction: a large number of software programs have been used in dentistry for diagnosis and treatment planning to date. however, due to promotion of programming languages and developments in dental sciences, it is necessary to develop and update these softwares. use of softwares for treatment planning for removable partial dentures has been popular for some time and always new softwares hav...

recovery is a part of disaster management cycle during which repair and reconstruction takes place, and individuals, groups, and communities retake what they have lost and ideally the risk of future incidents reduces. life recovery is a subjective and multidimensional issue influenced by various factors, whereas valid measurable indicators in evaluating the recovery after disasters are helpful....

Silicone elastomers exposed to electrical discharges can be rendered hydrophilic, and the loss of water repellency is related to the energy level and number of the discharge pulses on the surface. However, the silicone surface has the unique ability to recover the hydrophobicity and enhance the performance of a polymer insulator. Most of the studies of the loss and recovery of hydrophobicity on...

Alcohol dependence is associated with an increased incidence of hypertension and cardiac arrhythmias, but the triggering mechanisms are not known. Sleep loss, common in alcohol-dependent patients, causes an activation of the sympathetic nervous system. To determine whether sleep deprivation induces differential cardiovascular and sympathetic responses in alcohol dependence, we measured heart ra...

Compressed sensing seeks to recover a sparse vector from a small number of linear and non-adaptive measurements. While most work so far focuses on Gaussian or Bernoulli random measurements we investigate the use of partial random circulant and Toeplitz matrices in connection with recovery by `1-minization. In contrast to recent work in this direction we allow the use of an arbitrary subset of r...

Key exposures, known or inconspicuous, are a real security threat. Recovery mechanisms from such exposures are required. For digital signatures such a recovery should ideally —and when possible— include invalidation of the signatures issued with the compromised keys. We present new signature schemes with such recovery capabilities. We consider two models for key exposures: full and partial reve...

Compressed sensing and its extensions have recently triggered interest in randomized signal acquisition. A key finding is that random measurements provide sparse signal reconstruction guarantees for efficient and stable algorithms with a minimal number of samples. While this was first shown for (unstructured) Gaussian random measurement matrices, applications require certain structure of the me...