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The IMT School for Advanced Studies Lucca organizes an AFNI Bootcamp, as a satellite event of the upcoming Annual Meeting of the Organization for Human Brain Mapping (OHBM Rome 2019). The AFNI Bootcamp will be held in Lucca (Italy) on June 3-7, 2019. This is a course designed to teach

Bio-based human computer interface (HCI) has attracted more and more attention of researchers all over the world in recent years. The paper is concern…

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Bifidobacteria are a major microbial component of infant gut microbiota, which is believed to promote health benefits for the host and stimulate maturation of the immune system. Despite their perceived importance, very little is known about the natural development of and possible correlations between bifidobacteria in human populations. To address this knowledge gap, we analyzed stool samples from a randomly selected healthy cohort of 87 infants and their mothers with >90% of vaginal delivery and nearly 100% breast-feeding at 4 months. Fecal material was sampled during pregnancy, at 3 and 10 days, at 4 months, and at 1 and 2 years after birth. Stool samples were predicted to be rich in the species Bifidobacterium adolescentis, B. bifidum, B. dentium, B. breve, and B. longum. Due to high variation, we did not identify a clear age-related structure at the individual level. Within the population as a whole, however, there were clear age-related successions. Negative correlations between the B. longum group and B. adolescentis were detected in adults and in 1- and 2-year-old children, whereas negative correlations between B. longum and B. breve were characteristic for newborns and 4-month-old infants. The highly structured age-related development of and correlation networks between bifidobacterial species during the first 2 years of life mirrors their different or competing nutritional requirements, which in turn may be associated with specific biological functions in the development of healthy gut.

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Sustainable Conservation teamed up with Ceres to bring representatives from global food brands & socially responsible investment firms out of the boardrooms and onto the farm.

Hi Everyone, So, this may seem really noobish but I haven't played Warframe for very long, 100 or so hours. I played during the Lunaro update and am now gettting used to the changes Spectors of the Rail brought. I've been unlocking planets by completing the requirements for each junction but righ...

Background In proteomics studies, liquid chromatography coupled to mass spectrometry (LC-MS) has proven to be a powerful technology to investigate differential expression of proteins/peptides that are characterized by their peak intensities, mass-to-charge ratio (m/z), and retention time (RT). The variable complexity of peptide mixtures and occasional drifts lead to substantial variations in m/z and RT dimensions. Thus, label-free differential protein expression studies by LC-MS technology require alignment with respect to both RT and m/z to ensure that same proteins/peptides are compared from multiple runs. Methods In this study, we propose a new strategy to align LC-MALDI-TOF data by combining quality threshold cluster analysis and support vector regression. Our method performs alignment on the basis of measurements in three dimensions (RT, m/z, intensity). Results and conclusions We demonstrate the suitability of our proposed method for alignment of LC-MALDI-TOF data through a previously published spike-in dataset and a new in-house generated spike-in dataset. A comparison of our method with other methods that utilize only RT and m/z dimensions reveals that the use of intensity measurements enhances alignment performance.

Europe PMC is an archive of life sciences journal literature.

View Homak catalogs online. Including the Tool Storage Catalog, Out of Box catalog and the Out of Box II catalog.