intradural tumors (WHO grade I) that characteristically occur in the conus medullaris/filum terminale region. They are slow growing tumors with a good prognosis and long-term survival.1 We report a rare case of double MPE occurring at both extremities of the filum terminale. In the light of the present case and an extensive review of the literature, we summarize the imaging characteristics and ...

This paper investigates the use of discriminative schemes based on the maximum mutual information (MMI) and minimum phone error (MPE) objective functions for both task and gender adaptation. A method for incorporating prior information into the discriminative training framework is described. If an appropriate form of prior distribution is used, then this may be implemented by simply altering th...

I study the dynamics of an agent’s reputation for competence when the labour market’s information about his performance is disclosed strategically by an intermediary. I show that this game admits a unique Markov Perfect Equilibrium (MPE). When players are patient, the agent’s effort is inverse U shaped, while the rate of information disclosure is decreasing over time. I illustrate the inefficie...

Massive pulmonary embolism (MPE) with hemodynamic instability is a clinical condition with a poor prognosis and high mortality rates. There are no definitive treatment options for cardiac arrest due to MPE. A 52-year-old female presented at our emergency department with cardiac arrest, and a 62-year-old female presented after achieving return of spontaneous circulation of cardiac arrest from a ...

Malignant pleural effusion (MPE) is a common clinical problem of concern for most of the pneumologists and thoracic surgeons. A general consensus regarding the use of talc poudrage in treatment of MPE exists, but only few studies analyzed in detail talc insufflation related pulmonary morbidity. In particular, ARDS talc-related is caused by physical and chemical effects of the small talc particl...

Given evidence on a set of variables in a Bayesian network, the most probable explanation (MPE) is the problem of finding a configuration of the remaining variables with maximum posterior probability. This problem has previously been addressed for discrete Bayesian networks and can be solved using inference methods similar to those used for finding posterior probabilities. However, when dealing...

We propose a new algorithm called Generalized Discriminative Feature Transformation (GDFT) for acoustic models in speech recognition. GDFT is based on Lagrange relaxation on a transformed optimization problem. We show that the existing discriminative feature transformation methods like feature space MMI/MPE (fMMI/MPE), region dependent linear transformation (RDLT), and a non-discriminative feat...

We describe a computational model of motor areas of the cerebral cortex. The model combines Bayesian networks, competitive learning and reinforcement learning. We found that decision-making using MPE (Most Probable Explanation) approximates the ideal decisionmaking in this model, which suggests that MPE calculation is a promising model of not only sensory-cortex recognition, already addressed b...

the development of combination therapy is a coherent approach in severe pain treatment. the present study investigated the antinociceptive effect of pregabalin alone and in combination with tramadol in acute pain modeling. therefore, three groups of male mice received either pregabalin (1 to 400 mg/kg), tramadol (10 to 80 mg/kg) or their combination intraperitoneally. then latency time, maximum...

We study a 2-player stochastic differential game of lobbying. Players invest in lobbying activities to alter the legislation her own benefit. The payoffs are quadratic and uncertainty is driven by Wiener process. consider Nash symmetric where players face same cost extract payoffs, we solve for Markov Perfect Equilibria (MPE) class affine functions. First, prove general sufficient (catching up)...