This research produces a novel space diversity scheme based on geometrical concept for optimizing the Signal to Noise Ratio (SNR) of the equal-gain Multiple Input and Single Output (MISO) communication system. In the second stage, this method is extended to Multiple Input and Multiple Output (MIMO) systems. These methods are proposed to solve the main problems of the conventional closed-loop MI...

What problem the Fed and other central banks are solving by printing money letting interest rates fall to zero is focus of this paper. This activity does not appear affect nominal GDP or inflation prior COVID, yet bank liabilities have continued rise. suggests presence rising cash demand that has prevented excess pressures from emerging. While there was some hope quantitative easing would be a ...

The modelling of natural language tasks using data-driven methods is often hindered by the problem of insufficient naturally occurring examples of certain linguistic constructs. The task we address in this paper – quality estimation (QE) of machine translation – suffers from lack of negative examples at training time, i.e., examples of low quality translation. We propose various ways to artific...

Concerning quartics, two particular quantifier elimination (QE) problems of historical interests and practical values are studied. We solve the problems by the theory of complete discrimination systems and negative root discriminant sequences for polynomials that provide a method for real (positive/negative) and complex root classification for polynomials. The equivalent quantifier-free formula...

We present QMMMW, a new program aimed at performing Quantum Mechanics/Molecular Mechanics (QM/MM) molecular dynamics. The package operates as a wrapper that patches PWscf code included in theQuantumESPRESSO distribution and LAMMPSMolecular Dynamics Simulator. It is designed with a paradigm based on three guidelines: (i) minimal amount of modifications on the parent codes, (ii) flexibility and c...

We describe the submissions of the University of Sheffield (USFD) for the phraselevel Quality Estimation (QE) shared task of WMT16. We test two different approaches for phrase-level QE: (i) we enrich the provided set of baseline features with information about the context of the phrases, and (ii) we exploit predictions at other granularity levels (word and sentence). These approaches perform cl...

Traditional automatic evaluation measures for natural language generation (NLG) use costly human-authored references to estimate the quality of a system output. In this paper, we propose a referenceless quality estimation (QE) approach based on recurrent neural networks, which predicts a quality score for a NLG system output by comparing it to the source meaning representation only. Our method ...

In this paper we present our system design and methodology for making absolute quantum efficiency (QE) measurements through the vacuum ultraviolet (VUV) and verify the system with delta-doped silicon CCDs. Delta-doped detectors provide an excellent platform to validate measurements through the VUV due to their enhanced UV response. The requirements for measuring QE through the VUV are more stre...