1,516 research outputs found

    Patient Education for Oral Anticoagulation Therapy

    Get PDF
    Oral anticoagulant therapy is recommended as a therapeutic prophylaxis treatment against thromboembolism for patients with atrial fibrillation who are at high risk of having a stroke. While this medication has life saving benefits, potential adverse side effects with life threatening risks also exist. Medication adherence and patient lifestyle decisions influence the associated risks. To reduce potential for patient harm associated with oral anticoagulation therapy, the Joint Commission implemented a national patient safety goal in the ambulatory care setting indicating patient education should be an essential part of an anticoagulation therapy program (2012). Through a comprehensive review of literature, insufficient knowledge was found to negatively impact adherence to therapy and increase the risk of an anticoagulant related adverse event for the patient. The findings were used to guide the development of an oral anticoagulation therapy education booklet. The booklet contains essential components to effectively give patients the necessary knowledge of safe management practices and associated risks of OAT in order to achieve optimal health outcomes. This booklet will serve as a resourceful teaching outline for the healthcare provider and a home reference guide for the patien

    Differential gene expression in anatomical compartments of the human eye

    Get PDF
    BACKGROUND: The human eye is composed of multiple compartments, diverse in form, function, and embryologic origin, that work in concert to provide us with our sense of sight. We set out to systematically characterize the global gene expression patterns that specify the distinctive characteristics of the various eye compartments. RESULTS: We used DNA microarrays representing approximately 30,000 human genes to analyze gene expression in the cornea, lens, iris, ciliary body, retina, and optic nerve. The distinctive patterns of expression in each compartment could be interpreted in relation to the physiology and cellular composition of each tissue. Notably, the sets of genes selectively expressed in the retina and in the lens were particularly large and diverse. Genes with roles in immune defense, particularly complement components, were expressed at especially high levels in the anterior segment tissues. We also found consistent differences between the gene expression patterns of the macula and peripheral retina, paralleling the differences in cell layer densities between these regions. Based on the hypothesis that genes responsible for diseases that affect a particular eye compartment are likely to be selectively expressed in that compartment, we compared our gene expression signatures with genetic mapping studies to identify candidate genes for diseases affecting the cornea, lens, and retina. CONCLUSION: Through genome-scale gene expression profiling, we were able to discover distinct gene expression 'signatures' for each eye compartment and identified candidate disease genes that can serve as a reference database for investigating the physiology and pathophysiology of the eye

    Multivariate Imaging for Fast Evaluation of In Situ Dark Field Microscopy Hyperspectral Data

    Get PDF
    Dark field scattering microscopy can create large hyperspectral data sets that contain a wealth of information on the properties and the molecular environment of noble metal nanoparticles. For a quick screening of samples of microscopic dimensions that contain many different types of plasmonic nanostructures, we propose a multivariate analysis of data sets of thousands to several hundreds of thousands of scattering spectra. By using non-negative matrix factorization for decomposing the spectra, components are identified that represent individual plasmon resonances and relative contributions of these resonances to particular microscopic focal volumes in the mapping data sets. Using data from silver and gold nanoparticles in the presence of different molecules, including gold nanoparticle-protein agglomerates or silver nanoparticles forming aggregates in the presence of acrylamide, plasmonic properties are observed that differ from those of the original nanoparticles. For the case of acrylamide, we show that the plasmon resonances of the silver nanoparticles are ideally suited to support surface enhanced Raman scattering (SERS) and the two-photon excited process of surface enhanced hyper Raman scattering (SEHRS). Both vibrational tools give complementary information on the in situ formed polyacrylamide and the molecular composition at the nanoparticle surface.Caroline von Humboldt Professorship of HUPeer Reviewe

    Maximum likelihood estimation in hidden Markov models with inhomogeneous noise

    Full text link
    We consider parameter estimation in finite hidden state space Markov models with time-dependent inhomogeneous noise, where the inhomogeneity vanishes sufficiently fast. Based on the concept of asymptotic mean stationary processes we prove that the maximum likelihood and a quasi-maximum likelihood estimator (QMLE) are strongly consistent. The computation of the QMLE ignores the inhomogeneity, hence, is much simpler and robust. The theory is motivated by an example from biophysics and applied to a Poisson- and linear Gaussian model.Comment: 31 pages, 6 figures, Accepted for publication in ESAIM Probab. Sta

    Black History Through Song

    Get PDF

    Metalloido-porins: Essentiality of Nodulin 26-like intrinsic proteins in metalloid transport

    Get PDF
    AbstractMetalloids are a group of physiologically important elements ranging from the essential to the highly toxic. Arsenic, antimony, germanium, and tellurium are highly toxic to plants themselves and to consumers of metalloid-contaminated plants. Boron, silicon, and selenium fulfill essential or beneficial functions in plants. However, when present at high concentrations, boron and selenium cause toxicity symptoms that are detrimental to plant fitness and yield. Consequently, all plants require efficient membrane transport systems to control the uptake and extrusion of metalloids into or out of the plant and their distribution within the plant body. Several Nodulin 26-like intrinsic proteins (NIPs) that belong to the aquaporin plant water channel protein family facilitate the diffusion of uncharged metalloid species.Genetic, physiological, and molecular evidence is that NIPs from primitive to higher plants not only transport all environmentally important metalloids, but that these proteins have a major role in the uptake, translocation, and extrusion of metalloids in plants. As most of the metalloid-permeable NIP aquaporins are impermeable or are poorly permeable to water, these NIP channel proteins should be considered as physiologically essential metalloido-porins

    Gel Formation by the Self-Assembly of Small Molecules: Insights from Solubility Parameters

    Get PDF
    Many small molecules can self-assemble into long fibers and thereby gel organic liquids. However, no capability exists to predict whether a molecule in a given solvent will form a gel, a thin solution (sol), or an insoluble precipitate. In this thesis, we build a framework for gelation via a common gelator based on Hansen solubility parameters (HSPs). Using HSPs, we construct 3-D plots showing regions of solubility (S), slow gelation (SG), instant gelation (IG), and insolubility (I) for DBS in different solvents. Our central finding is that these regions radiate out as concentric shells. The distance (R0) from the central sphere quantifies the incompatibility between gelator and solvent. The elastic moduli of the gels increase with R0, while the time to gelation decreases with R0. Our approach can be used to design organogels of desired strength and gelation time by judicious choice of a solvent or a blend of solvents

    Cell-type specific gene expression profiles of leukocytes in human peripheral blood

    Get PDF
    BACKGROUND: Blood is a complex tissue comprising numerous cell types with distinct functions and corresponding gene expression profiles. We attempted to define the cell type specific gene expression patterns for the major constituent cells of blood, including B-cells, CD4+ T-cells, CD8+ T-cells, lymphocytes and granulocytes. We did this by comparing the global gene expression profiles of purified B-cells, CD4+ T-cells, CD8+ T-cells, granulocytes, and lymphocytes using cDNA microarrays. RESULTS: Unsupervised clustering analysis showed that similar cell populations from different donors share common gene expression profiles. Supervised analyses identified gene expression signatures for B-cells (427 genes), T-cells (222 genes), CD8+ T-cells (23 genes), granulocytes (411 genes), and lymphocytes (67 genes). No statistically significant gene expression signature was identified for CD4+ cells. Genes encoding cell surface proteins were disproportionately represented among the genes that distinguished among the lymphocyte subpopulations. Lymphocytes were distinguishable from granulocytes based on their higher levels of expression of genes encoding ribosomal proteins, while granulocytes exhibited characteristic expression of various cell surface and inflammatory proteins. CONCLUSION: The genes comprising the cell-type specific signatures encompassed many of the genes already known to be involved in cell-type specific processes, and provided clues that may prove useful in discovering the functions of many still unannotated genes. The most prominent feature of the cell type signature genes was the enrichment of genes encoding cell surface proteins, perhaps reflecting the importance of specialized systems for sensing the environment to the physiology of resting leukocytes

    History of Glass

    Get PDF
    • …
    corecore