Search results for "Dolo"

Healthier but acceptable foods: How to investigate this question?

2018

Diagnosticabilità delle malformazioni fetali e “linee guida per le consulenze medico-legali in ecografia ostetrica” della Società Italiana di Ecograf…

2008

La enseñanza del léxico. Reflexiones teóricas y propuestas didácticas

2010

Este volumen recoge diversos trabajos sobre la enseñanza del léxico. Cómo explicar los procesos de adquisición y cómo aprovechar su descripción con una orientación didáctica son las líneas genéricas que vertebran las contribuciones aquí reunidas This volume includes several papers on the teaching of vocabulary. The basic lines that structure the contributions here made are the explanation of the lexical acquisition process and how to use the description of this process with a didactic approach

Exploring Bioequivalence of Dexketoprofen Trometamol Drug Products with the Gastrointestinal Simulator (GIS) and Precipitation Pathways Analyses

2019

The present work aimed to explain the differences in oral performance in fasted humans who were categorized into groups based on the three different drug product formulations of dexketoprofen trometamol (DKT) salt&mdash

Examining Enterprise Architecture Definitions : Implications from Theory and Practice

2019

This study explores the evolving discipline of Enterprise Architecture (EA) and the various definitions given to EA in literature and by practitioners. Due to the potential benefits, such as business and IT alignment, academics and practitioners have maintained an interest in enterprise architecture. EA has been developed outside of scientifically tested foundations, and is characterized by diversified views, seen in varied definitions given to the concept. Prior research has identified the need for conceptual strengthening as a necessity for the maturing the discipline. We contribute to this on-going discussion with a systematic literature review on the state-of-the-art of EA definitions a…

Postkvalitatiivisia liikahduksia tekstin ja äänen välillä

2021

Designing a graphics processing unit accelerated petaflop capable lattice Boltzmann solver: Read aligned data layouts and asynchronous communication

2017

The lattice Boltzmann method is a well-established numerical approach for complex fluid flow simulations. Recently, general-purpose graphics processing units (GPUs) have become available as high-performance computing resources at large scale. We report on designing and implementing a lattice Boltzmann solver for multi-GPU systems that achieves 1.79 PFLOPS performance on 16,384 GPUs. To achieve this performance, we introduce a GPU compatible version of the so-called bundle data layout and eliminate the halo sites in order to improve data access alignment. Furthermore, we make use of the possibility to overlap data transfer between the host central processing unit and the device GPU with comp…

Local cubic splines on non-uniform grids and real-time computation of wavelet transform

2017

In this paper, local cubic quasi-interpolating splines on non-uniform grids are described. The splines are designed by fast computational algorithms that utilize the relation between splines and cubic interpolation polynomials. These splines provide an efficient tool for real-time signal processing. As an input, the splines use either clean or noised arbitrarily-spaced samples. Formulas for the spline’s extrapolation beyond the sampling interval are established. Sharp estimations of the approximation errors are presented. The capability to adapt the grid to the structure of an object and to have minimal requirements to the operating memory are of great advantages for offline processing of s…

Book Review: Statistical Inference as Severe Testing

2019

Multitask deep learning for native language identification

2020

Identifying the native language of a person by their text written in English (L1 identification) plays an important role in such tasks as authorship profiling and identification. With the current proliferation of misinformation in social media, these methods are especially topical. Most studies in this field have focused on the development of supervised classification algorithms, that are trained on a single L1 dataset. Although multiple labeled datasets are available for L1 identification, they contain texts authored by speakers of different languages and do not completely overlap. Current approaches achieve high accuracy on available datasets, but this is attained by training an individua…