Search results for "eps"
showing 10 items of 1777 documents
Characterisation of electric alloys for electric drives
1996
Knowledge of the magnetic and loss charactenstics of electric alloys is necessary for the computation and design of electrical machines. Over a long period of time, and more recently, many devices have been proposed for this characterisation. They test ferromagnetic sheets under conditions of unidirectional magnetic flux density. Other methods are derived from some of these devices, but they use conditions of rotating flux density. In the paper the authors show with the use of numerical computation that, in all these testing systems, the distribution of the magnetic flux density through the thickness of the sheet is uniform and does not take into account the edge effect which exists in rota…
Population density and childhood leukaemia: results of the EUROCLUS study
1999
The EUROCLUS study assembled incidence data for 13,551 cases of childhood leukaemia (CL) diagnosed between 1980 and 1989 in 17 countries (or regions of countries). These were referenced by location at diagnosis to small census areas of which there were 25,723 in the study area. Population counts, surface area and, hence, population density were available for all these small areas. Previous analyses have shown limited extra-Poisson variation (EPV) of case counts within small areas; this is most pronounced in areas of intermediate population density (150-499 persons/km2). In this study, the data set was examined in more detail for evidence that variations in incidence and EPV of CL are associ…
Frequency of CD8+ T Lymphocytes Specific for Lytic and Latent Antigens of Epstein–Barr Virus in Healthy Virus Carriers
1999
Abstract We investigated CD8 + T cell frequencies of five different Epstein–Barr virus-specific cytotoxic T lymphocyte epitopes located within proteins of the replicative cycle and the latent state in healthy long-term virus carriers with IFN-γ enzyme-linked immunospot assay. Frequencies of the HLA-A3-restricted epitope RVRAYTYSK (RVR) whose minimal length was mapped in this study to amino acid position 148–156 of the immediate-early protein BRLF1 were compared with those of a further known HLA-A3-restricted epitope within EBNA3A, RLRAEAQVK (RLR). Determination of frequencies of CD8 + T lymphocytes directed against lytic antigen epitope RVR revealed that only one of eight donors recognized …
Marine Anticancer Agents: An Overview with a Particular Focus on Their Chemical Classes
2020
The marine environment is a rich source of biologically active molecules for the treatment of human diseases, especially cancer. The adaptation to unique environmental conditions led marine organisms to evolve di erent pathways than their terrestrial counterparts, thus producing unique chemicals with a broad diversity and complexity. So far, more than 36,000 compounds have been isolated from marine micro- and macro-organisms including but not limited to fungi, bacteria, microalgae, macroalgae, sponges, corals, mollusks and tunicates, with hundreds of new marine natural products (MNPs) being discovered every year.Marine-based pharmaceuticals have started to impactmodern pharmacology and diff…
Monocyte distribution width kinetic after surgery
2022
Not available
What is intercultural communication competence in the context of the European Parliament? : perceptions about the required intercultural skills from …
2005
Evanescent wave-initiated photopolymerisation as a new way to create monolithic open-tubular capillary columns: use as enzymatic microreactor for on-…
2010
Evanescent wave-initiated photopolymerisation in an optically wave guiding PTFE-coated fused silica capillary using light-emitting diode as a light source, is established here as a way to fabricate monolithic porous layer open-tubular capillary columns with a potential in capillary separation methods; application of the obtained open-tubular columns as enzymatic microreactors for on-line protein digestion is demonstrated.
PSICODINAMICA DELLE FAMIGLIE CONTEMPORANEE
2019
ASR performance prediction on unseen broadcast programs using convolutional neural networks
2018
In this paper, we address a relatively new task: prediction of ASR performance on unseen broadcast programs. We first propose an heterogenous French corpus dedicated to this task. Two prediction approaches are compared: a state-of-the-art performance prediction based on regression (engineered features) and a new strategy based on convolutional neural networks (learnt features). We particularly focus on the combination of both textual (ASR transcription) and signal inputs. While the joint use of textual and signal features did not work for the regression baseline, the combination of inputs for CNNs leads to the best WER prediction performance. We also show that our CNN prediction remarkably …
Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network
2020
In this paper, we propose a model for the Environment Sound Classification Task (ESC) that consists of multiple feature channels given as input to a Deep Convolutional Neural Network (CNN) with Attention mechanism. The novelty of the paper lies in using multiple feature channels consisting of Mel-Frequency Cepstral Coefficients (MFCC), Gammatone Frequency Cepstral Coefficients (GFCC), the Constant Q-transform (CQT) and Chromagram. Such multiple features have never been used before for signal or audio processing. And, we employ a deeper CNN (DCNN) compared to previous models, consisting of spatially separable convolutions working on time and feature domain separately. Alongside, we use atten…