Search results for "Exit"
showing 10 items of 1357 documents
Generation of TCR-engineered reference cell samples to control T-cell assay performance
2020
In vitro cellular assays analyzing antigen-specific T cells are characterized by their high complexity and require controlled conditions to lower experimental variations. Without standard cellular reagents, it is difficult to compare results over time and across institutions. To overcome this problem, a simple and robust technology was developed to generate TCR-engineered reference samples (TERS) containing defined numbers of antigen-specific T cells. Utilization of TERS enables performance control of three main T-cell assays: MHC-peptide multimer staining, IFN-gamma ELISpot and cytokine flow cytometry. TERS continuously deliver stable results and can be stored for longer periods of time. H…
Numerical Study on the Heading Misalignment and Current Velocity Reduction of a Vessel-Shaped Offshore Fish Farm
2019
Recently, the concept of a vessel-shaped fish farm was proposed for open sea applications. The fish farm comprises a vessel-shaped floater, five fish cages, and a single-point mooring system. Such a system weathervanes, and this feature increases the spread area of fish waste. Still, the downstream cages may experience decreased exchange of water flow when the vessel heading is aligned with the current direction, and fish welfare may be jeopardized. To ameliorate the flow conditions, a dynamic positioning (DP) system may be required, and its power consumption should relate to the heading misalignment. This paper proposes an integrated method for predicting the heading misalignment between t…
DNA combinatorial messages and Epigenomics: The case of chromatin organization and nucleosome occupancy in eukaryotic genomes
2019
Abstract Epigenomics is the study of modifications on the genetic material of a cell that do not depend on changes in the DNA sequence, since those latter involve specific proteins around which DNA wraps. The end result is that Epigenomic changes have a fundamental role in the proper working of each cell in Eukaryotic organisms. A particularly important part of Epigenomics concentrates on the study of chromatin, that is, a fiber composed of a DNA-protein complex and very characterizing of Eukaryotes. Understanding how chromatin is assembled and how it changes is fundamental for Biology. In more than thirty years of research in this area, Mathematics and Theoretical Computer Science have gai…
Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures
2020
Recent neuroimaging evidence suggest that there exists a unique individual-specific functional connectivity (FC) pattern consistent across tasks. The objective of our study is to utilize FC patterns to identify an individual using a supervised machine learning approach. To this end, we use two previously published data sets that comprises resting-state and task-based fMRI responses. We use static FC measures as input to a linear classifier to evaluate its performance. We additionally extend this analysis to capture dynamic FC using two approaches: the common sliding window approach and the more recent phase synchrony-based measure. We found that the classification models using dynamic FC pa…
Attention-based Model for Evaluating the Complexity of Sentences in English Language
2020
The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…
Deep neural attention-based model for the evaluation of italian sentences complexity
2020
In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.
Multi-class Text Complexity Evaluation via Deep Neural Networks
2019
Automatic Text Complexity Evaluation (ATE) is a natural language processing task which aims to assess texts difficulty taking into account many facets related to complexity. A large number of papers tackle the problem of ATE by means of machine learning algorithms in order to classify texts into complex or simple classes. In this paper, we try to go beyond the methodologies presented so far by introducing a preliminary system based on a deep neural network model whose objective is to classify sentences into more of two classes. Experiments have been carried out on a manually annotated corpus which has been preprocessed in order to make it suitable for the scope of the paper. The results sho…
Momentary emotion identification in female adolescents with and without anorexia nervosa.
2017
Individuals with anorexia nervosa (AN) often report difficulties in identifying emotions, which have been mostly studied as an alexithymia trait. In a controlled two-day ecological momentary assessment, we studied the influence of time of day and aversive tension on self-reported momentary emotion identification. Analysis on an aggregated level revealed a significant lower mean emotion identification in the AN group. In a mixed model analysis, the AN group showed lower emotion identification than the control group (HC). Both a general and a group effect of time of day were found, indicating that emotion identification improved during the day in HC, whereas a negligible decrease of the emoti…
Great Britain and Differentiated Integration in Europe
2018
The United Kingdom has always been a special case in the European integration project. The British exceptionalism manifested in various forms and ways over the history. June 23rd 2016 delivered another culmination point in the story of the stubborn European’s relations with its continental partners. The so-called Brexit referendum, which brought about victory for the supporters of the UK leaving the European Union, marks an important milestone in these relations. It has never been an easy marriage and many times threatened by the divorce. Instead of becoming ever closer, the European Union becomes ever loser and the UK is ever closer to leaving. Brexit is not only vital for the British, it …
COVID-19 Crisis - A Test for European Union’s Solidarity
2020
Abstract The crises the European Union has gone through over time have called into question the Union’s legitimacy and efficiency. The 2008-2009 financial crisis, the European debt crisis, the migration crisis and Brexit, have all tested the solidarity between member states. The COVID-19 pandemic is without a doubt the most drastic crisis in the EU’s history, with very severe socioeconomic consequences. The EU leaders were strongly criticized for not reacting quickly and efficiently enough to mitigate the impact of the virus, reduce suffering, and ward off the economic crisis. In this context, the questions that arise are: Is the Union a modern-day Titanic? Will it sink or it will sustain i…