The authors show that the Gaussquadrature rule (GQR) method, which is widely used in performance evaluation of digital communication systems, fails under certain frequently encountered conditions. The maximum entropy method (MEM), on the other hand, continues to give reliable results for most of these problems. In cases where the MEM becomes numerically unstable before it achieves sufficient ac...

In the humoral response, short-lived plasmablasts generate an early burst of Ab that probably plays an initial protective role. Simultaneously, another arm of the response is often triggered that leads to delayed effector function but long-term protection. This arm comprises the germinal center response and its products: long-lived memory B (B(mem)) cells and plasma cells (PCs). The factors tha...

Due to transistor leakage, CMOS circuits have a well-defined lower limit on their achievable energy efficiency [1]. Once this limit is reached, power-constrained applications will face a cap on their maximum throughput independent of their level of parallelism. Avoiding this roadblock requires an alternate switching device with steeper sub-threshold slope—i.e., lower VDD/Ion for the same Ion/Io...

We discuss an intuitive approach to interpreting mirror electron microscopy (MEM) images, whereby image contrast is primarily caused by the Laplacian of small height or potential variations across a sample surface. This variation is blurred slightly to account for the interaction of the electrons with the electrical potential away from the surface. The method is derived from the established geo...

We have applied the maximum entropy method (MEM) to the analysis of quasi-elastic laser scattering (QELS) spectra and have established a technique for determining capillary wave frequencies with a higher time resolution than that of the conventional procedure. Although the QELS method has an advantage in time resolution over mechanical methods, it requires the averaging of at least 20-100 power...

Multiplicative error models (MEM) became a standard tool for modeling conditional durations of intraday transactions, realized volatilities and trading volumes. The parametric estimation of the corresponding multivariate model, the so-called vector MEM (VMEM), requires a specification of the joint error term distribution, which is due to the lack of multivariate distribution functions on R+ def...

This paper presents a hybrid method using machine learning approach for Named Entity Recognition (NER). A system built based on this method is able to achieve reasonable performance with minimal training data and gazetteers. The hybrid machine learning approach differs from previous machine learning-based systems in that it uses Maximum Entropy Model (MEM) and Hidden Markov Model (HMM) successi...

Primary intracranial malignant ectomesenchymoma (MEM) is a rare proliferative disorder that only occasionally involves the central nervous system. We presented a 16-year-old case of primary MEM located in pineal region. The patient was treated by total surgical resection followed by radiation and experienced no recurrence during the 6-month follow-up. The clinicopathological features of this ca...

This paper presents a new robust method for inertial MEM (MicroElectroMechanical systems) 3D gesture recognition. The linear acceleration and the angular velocity, respectively provided by the accelerometer and the gyrometer, are sampled in time resulting in 6D values at each time step which are used as inputs for the gesture recognition system. We propose to build a system based on Bidirection...

We investigated the influence of autologous serum (AS)-supplemented medium on the proliferation and differentiation into neurons of canine bone marrow stromal cells (BMSCs). Canine BMSCs were cultured using α-MEM only, α-MEM with 10% fetal bovine serum (FBS), and 5, 10 and 20% AS-supplemented α-MEM. Growth of canine BMSCs was observed in all AS groups. The proliferation capacity of canine BMSCs...