The relevance of dietary fatty acids (FA) for blood lipids should be assessed in the context of substituting nutrients. Such evidence is lacking for adolescents. This study describes prospective associations of dietary FA with changes in serum lipids during adolescence, and considers the theoretical isocaloric replacements of saturated FA (SFA) with other FA or carbohydrates (CHO). Children fro...

Diets rich in saturated fat produce inflammation, gliosis, and neuronal stress in the mediobasal hypothalamus (MBH). Here, we show that microglia mediate this process and its functional impact. Although microglia and astrocytes accumulate in the MBH of mice fed a diet rich in saturated fatty acids (SFAs), only the microglia undergo inflammatory activation, along with a buildup of hypothalamic S...

Sažetak Cilj ovog istraživanja bio je analizirati udio masti i sastav masnih kiselina u uzorcima M. biceps femoris istarskog i dalmatinskog pršuta. Analiziran je sadržaj zasićenih (SFA), mononezasićeniih (MUFA) i polinezasićenih (PUFA) masnih kiselina. Udio masti u istarskom pršutu bio je 7,45-21,12%, dok u dalmatinskom 9,49-21,29%. Sastav masnih kiselina istarskog i dalmatinskog pršuta nije se...

This paper develops a kernelized slow feature analysis (SFA) algorithm. SFA is an unsupervised learning method to extract features which encode latent variables from time series. Generative relationships are usually complex, and current algorithms are either not powerful enough or tend to over-fit. We make use of the kernel trick in combination with sparsification to provide a powerful function...

-Slow Feature Analysis (SFA) has been established as a robust and versatile technique from the neurosciences to learn slowly varying functions from quickly changing signals. SFA framework is introduced to the problem of recognizing prisoner’s actions by incorporating the supervised information with the original unsupervised SFA learning. Firstly, large amount of cuboids are collected in the mot...

This thesis develops new extensions to slow feature analysis (SFA) that solve supervised learning problems (e.g., classification and regression) on highdimensional data (e.g., images) in an efficient, accurate, and principled way. This type of problems has been addressed by convolutional neural networks (CNNs) in the last decade with excellent results. However, additional approaches would be va...

BACKGROUND Linseed oil has been investigated as a rich source of n-3 series polyunsaturated fatty acids, which mainly produce a non-atherogenic lipid profile. The objective of this study was to investigate the effect of linseed oil supplementation associated with nutritional guidelines on the lipid profiles of older adults, according to the intake of saturated fatty acids (SFA). METHODS We co...

Our aim was to determine whether meal fatty acids influence insulin and glucose responses to mixed meals and whether these effects can be explained by variations in postprandial NEFA and Apo, which regulate the metabolism of triacylglycerol-rich lipoproteins (Apo C and E). A single-blind crossover study examined the effects of single meals enriched in saturated fatty acids SFA), n-6 PUFA and MU...

INTRODUCTION Fifty percent of cases of peripheral artery disease are caused by chronic total occlusion (CTO) of the superficial femoral artery (SFA). Ten-fifteen percent of percutaneous SFA recanalization procedures are unsuccessful. In those cases the retrograde technique can increase the success rate of the procedure, but the long-term follow-up of such procedures is still unknown. AIM To a...

Research on the neural substrate of aphasia recovery has consistently increased since the advent of functional neuroimaging. The evidence from therapy-induced aphasia recovery studies shows that better recovery results from the reactivation of left hemisphere function; still, the specific left hemisphere key areas that sign successful outcome with a specific therapy approach remain to be identi...