104 research outputs found

    Biological factors of inflammation and methods of their detection

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    Inflammation is a complicated process occurring after a harmful stimuli or infection. During inflammation a large number of biochemical reactions and pathophysiological changes take place. These procedures are all induced by active biological compounds called mediators or chemokines. These molecules are derived from plasma and cells and are capable of performing the appropriate changes both on the endothelium and cells during the inflammatory process. Moreover, some of them have the ability to interact with each other. Today there are different methods to detect and quantitate these compounds. These techniques keep on evolving and improving. Which one is the most suitable depends on the researcher’s scientific aim. A standardized protocol was created in order to make MRU feasible in everyday use, based on protocols suggested by other researchers. Both T1 and T2 weighted images were obtained using the following sequences: 2D ΀2-weighted fat saturation, 3D single shot fast spin-echo (SSFSE/RARE), 2D Radial SSFSE and T1-weighted gradient LAVA (3D SPGR). In 16 out of the 21 cases the MRU images and data agreed with the previous diagnosis based on radionuclide and ultrasound studies. In 5 cases MRU provided additional information, altering or even overruling the previous diagnosis. These 5 cases are presented in this article

    Towards Building a Link Set Backed by Domain Experts using the Alignment Tool

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    Discovering semantic relations between entities (entity linking) is one of the most important activity for both semantic web and linked data areas. Either we need link sets of instances or concepts we can rely on automatic systems only to a certain extent. As a result, an automatic linking is accompanied with a user interaction which enables to increase the quality of resulted link sets. Often, in order to reach as much quality of link set as possible the user should be a domain expert for an area of linking task. This user specifics should be considered by designers of interactive entity linking tools. This work presents an experience from an experiment of building a link set for two fiscal code lists where domain experts have been involved. The experiment has been done using the Alignment tool

    The Antiangiogenic Properties of Adipose-Derived Mesenchymal Stem/Stromal Cells in Corneal Neovascularization in a Rabbit Model

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    The purpose was to study the anti-angiogenic effect of adipose-derived mesenchymal stem/stromal cells (ADMSCs) on experimentally induced corneal injuries. Corneal neovascularization (NV) was induced by incising and subsequently suturing the corneal surface in 32 New Zealand rabbits. Following suturing, the rabbits were randomly allocated into 2 groups, and received either phosphate-buffered saline (PBS) (control) or ADMSCs, both administered via three different routes. Digital images of the cornea were obtained two weeks post-incision to measure the area of neovascularized cornea. Tumor necrosis factor (TNF) was immunohistochemically assessed in the both groups. The corneal tissue was evaluated for vascular endothelial growth factor (VEGF). The extent of corneal NV in all eyes was assessed photographically by an independent observer. Fourteen days after the incisions, the degree of corneal NV was substantially decreased in the ADMSC-treated group (1.87 ± 0.9 mm2, 1.4 % ± 0.67 % of corneal surface) compared to the control and PBS-treated group (4.66 ± 1.74 mm2, 3.51 % ± 1.31 %, p < 0.001). ADMSCs significantly decreased injury-induced corneal NV in New Zealand rabbits two weeks post-treatment. This strategy has potential for use in the control of corneal NV in vivo.

    The Antiangiogenic Properties of Adipose-Derived Mesenchymal Stem/Stromal Cells in Corneal Neovascularization in a Rabbit Model

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    The purpose was to study the anti-angiogenic effect of adipose-derived mesenchymal stem/stromal cells (ADMSCs) on experimentally induced corneal injuries. Corneal neovascularization (NV) was induced by incising and subsequently suturing the corneal surface in 32 New Zealand rabbits. Following suturing, the rabbits were randomly allocated into 2 groups, and received either phosphate-buffered saline (PBS) (control) or ADMSCs, both administered via three different routes. Digital images of the cornea were obtained two weeks post-incision to measure the area of neovascularized cornea. Tumor necrosis factor (TNF) was immunohistochemically assessed in the both groups. The corneal tissue was evaluated for vascular endothelial growth factor (VEGF). The extent of corneal NV in all eyes was assessed photographically by an independent observer. Fourteen days after the incisions, the degree of corneal NV was substantially decreased in the ADMSC-treated group (1.87 ± 0.9 mm2, 1.4 % ± 0.67 % of corneal surface) compared to the control and PBS-treated group (4.66 ± 1.74 mm2, 3.51 % ± 1.31 %, p < 0.001). ADMSCs significantly decreased injury-induced corneal NV in New Zealand rabbits two weeks post-treatment. This strategy has potential for use in the control of corneal NV in vivo.Â

    Towards Budget Comparative Analysis: The Need for Fiscal Code Lists as Linked Data

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    ABSTRACT Code lists are a key part of budget datasets as they serve for the coding of fiscal concepts within them. However, the great diversity of classifications across countries and concepts does not allow to presume upon their actual value, as dimension properties. In this paper we discuss the need for creating code lists Linked Data for the classifications used in fiscal datasets, in three basic steps. First, code lists have to be extracted from fiscal datasets, especially if there are no relevant metadata in the budget description, which could easily identify them. Next, code lists from different datasets or sources have to be represented in the same way, with SKOS vocabulary, thus they can be linked with each other. Finally, linking of similar code lists will also allow the linking of the containing datasets, increasing their data analysis and knowledge extraction possibilities
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