Rosqvist, F. 2016. Dietary Fatty Acids, Body Composition and Ectopic Fat . Results from Overfeeding Studies in Humans. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1358. 94 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9523-7. The aim of this thesis was to investigate the effects of dietary fatty acids on body composition and ectopic fat i...

Automatic action recognition in video has a broad array of applications, from surveillance to interactive video games. Classic algorithms usually use handcrafted descriptors such as SIFT (see [5]) or HOG (see [3]) to compute feature vectors of videos, and have achieved promising results in the past (see [7]). More recently, Quoc Le and Will Zou at the Stanford AI lab have proved that ISA featur...

seismic facies analysis (sfa) aims to classify similar seismic traces based on amplitude, phase,frequency, and other seismic attributes. sfa has proven useful in interpreting seismic data, allowingsignificant information on subsurface geological structures to be extracted. while facies analysis hasbeen widely investigated through unsupervised-classification-based studies, there are few casesass...

Overview In their work, the authors consider a novel model of heterogeneous data organization called dataspaces. It is aimed to improve the two most popular approaches used in data integration: the schema first approach (SFA) and the no schema approach (NSA). The SFA approach requires semantically integrated view over integrated data sources. Query languages generally have formal semantics, how...

Slow feature analysis (SFA) is a bioinspired method for extracting slowly varying driving forces from quickly varying nonstationary time series. We show here that it is possible for SFA to detect a component which is even slower than the driving force itself (e.g. the envelope of a modulated sine wave). It depends on circumstances like the embedding dimension, the time series predictability, or...

This event-related functional magnetic resonance imaging (fMRI) study reports on the impact of semantic feature analysis (SFA) therapy on the neural substrate sustaining the recovery from severe anomia in two patients: one participant was diagnosed with primary progressive aphasia (PPA) 2 years before this study; the other participant acquired aphasia 8 years before this study. The participant ...

The interaction between streptavidin and its ligand, biotin, were studied by direct force measurements. The complimentary approaches of surface force apparatus (SFA) and atomic force microscopy (AFM) were used to elucidate both long-range and short-range adhesive interactions of the streptavidin biotin interaction. The high spatial resolution of the SFA provided a detailed profile of the inters...

Dietary fats rich in saturated fatty acid (SFA) increase the risk of metabolic diseases, and certain microRNAs (miRNAs) dysregulated by SFA are associated with the pathogenesis of insulin resistance and type 2 diabetes. A previous study found that miR-195 is increased by SFA and impairs hepatic insulin signaling through the suppression of INSR (Yang et al., 2014) [1]. This article reports accom...

Our ability to recognize the gender and estimate the age of people around us is crucial for our social development and interactions. In this paper, we investigate how to use Slow Feature Analysis (SFA) to estimate gender and age from synthetic face images. SFA is a versatile unsupervised learning algorithm that extracts slowly varying features from a multidimensional signal. To process very hig...