Search results for "EURA"
showing 10 items of 3336 documents
TALPID3/KIAA0586 Regulates Multiple Aspects of Neuromuscular Patterning During Gastrointestinal Development in Animal Models and Human
2021
TALPID3/KIAA0586 is an evolutionary conserved protein, which plays an essential role in protein trafficking. Its role during gastrointestinal (GI) and enteric nervous system (ENS) development has not been studied previously. Here, we analyzed chicken, mouse and human embryonic GI tissues with TALPID3 mutations. The GI tract of TALPID3 chicken embryos was shortened and malformed. Histologically, the gut smooth muscle was mispatterned and enteric neural crest cells were scattered throughout the gut wall. Analysis of the Hedgehog pathway and gut extracellular matrix provided causative reasons for these defects. Interestingly, chicken intra-species grafting experiments and a conditional knockou…
Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory
2021
The atmospheric depth of the air shower maximum $X_{\mathrm{max}}$ is an observable commonly used for the determination of the nuclear mass composition of ultra-high energy cosmic rays. Direct measurements of $X_{\mathrm{max}}$ are performed using observations of the longitudinal shower development with fluorescence telescopes. At the same time, several methods have been proposed for an indirect estimation of $X_{\mathrm{max}}$ from the characteristics of the shower particles registered with surface detector arrays. In this paper, we present a deep neural network (DNN) for the estimation of $X_{\mathrm{max}}$. The reconstruction relies on the signals induced by shower particles in the groun…
Sequenziamento temporale ed elaborazione neurale: una prospettiva psicofisiologica
2011
SingleChannelNet : A model for automatic sleep stage classification with raw single-channel EEG
2022
In diagnosing sleep disorders, sleep stage classification is a very essential yet time-consuming process. Various existing state-of-the-art approaches rely on hand-crafted features and multi-modality polysomnography (PSG) data, where prior knowledge is compulsory and high computation cost can be expected. Besides, it is a big challenge to handle the task with raw single-channel electroencephalogram (EEG). To overcome these shortcomings, this paper proposes an end-to-end framework with a deep neural network, namely SingleChannelNet, for automatic sleep stage classification based on raw single-channel EEG. The proposed model utilizes a 90s epoch as the textual input and employs two multi-conv…
Jääkiekon liigaseurojen sidosryhmävuorovaikutus sosiaalisessa mediassa
2016
Tämän puheviestinnän maisterintutkielman tavoitteena oli selvittää jääkiekon liigaseurojen sosiaalisen median käyttöä. Tarkoituksena oli kartoittaa, millaisia keinoja seurat käyttävät sosiaalisen median viestinnässään, miten sidosryhmiä pyritään sitouttamaan oman organisaation päivittäiseen toimintaan, millaisia sosiaalisen median tavoitteita seuroilla on ja miten viestintä on seuroissa järjestetty. Tutkielma toteutettiin laadullisena tutkimuksena. Tutkimuskohteena oli neljä jääkiekon pääsarjaseuraa, joiden sosiaalisen median sidosryhmäviestintää tutkittiin sisällönanalyysin avulla. Analyysin perusteella haastateltiin tämän jälkeen samat neljä seuraa. Tulokset osoittavat, että seurat käyttä…
Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion
2020
In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the inverse models to estimate four parameters of the skin from the simulated data: melanin concentration, hemoglobin volume fraction, and thicknesses of epidermis and dermis. The aim of this study is to determine the best methods for stochastic model inversion in order to improve current methods in skin related cancer diagnostics and in the future develop a non-invasive way to measure the physical parameters of the skin based partially on the results of the study. Of the compared methods, which are convolutional neural network, multi-layer …
Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification
2022
For real-world automatic sleep-stage classification tasks, various existing deep learning-based models are biased toward the majority with a high proportion. Because of the unique sleep structure, most of the current polysomnography (PSG) datasets suffer an inherent class imbalance problem (CIP), in which the number of each sleep stage is severely unequal. In this study, we first define the class imbalance factor (CIF) to describe the level of CIP quantitatively. Afterward, we propose two balancing methods to alleviate this problem from the dataset quantity and the relationship between the class distribution and the applied model, respectively. The first one is to employ the data augmentati…
Principles of social media monitoring and analysis software
2013
Health Promotion Interventions in Sports Clubs: Can We Talk About a Setting-Based Approach? A Systematic Mapping Review
2019
Many researchers and authorities have recognized the important role that sports clubs can play in public health. In spite of attempts to create a theoretical framework in the early 2000s, a thorough understanding of sports clubs as a setting for health promotion (HP) is lacking. Despite calls for more effective, sustainable, and theoretically grounded interventions, previous literature reviews have identified no controlled studies assessing HP interventions in sports clubs. This systematic mapping review details how the settings-based approach is applied through HP interventions in sports clubs and highlights facilitators and barriers for sports clubs to become health-promoting settings. In…
Sport clubs' health promotion activities for the surrounging communities : a comparative case study of Columbus Blue Jackets, HJK and Sotkamon Jymy
2014
ABSTRACT The level of physical activity continues to decrease globally. Therefore it is important to explore new ways of promoting physical activity and healthy life style. Sport clubs are an excellent setting for physical activity and health related programs targeted for the surrounding community due to their visibility, popularity and image. They offer also companies a possibility to conduct their health related corporate social responsibility activities by supporting and cooperating with the club. Despite its importance there are not many studies related to the role of sport clubs as health promoters. The aim of this research is to explore what kind of health promotion activities sport c…