103 research outputs found

    Š”Š²Ń–Ń‚Š»Ń–Š¹ ŠæŠ°Š¼'яті Š²Ń‡ŠµŠ½Š¾Š³Š¾-ŠµŃ‚Š½Š¾Š»Š¾Š³Š° сучŠ°ŃŠ½Š¾ŃŃ‚Ń– Š“Š°Š½Š½Šø Š“Š¾Ń€ŠøŠ½ŃŒ

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    Š£ŠŗрŠ°Ń—Š½ŃŃŒŠŗŠµ Š½Š°Ń€Š¾Š“Š¾Š·Š½Š°Š²ŃŃ‚Š²Š¾ Š·Š°Š·Š½Š°Š»Š¾ тяŠ¶ŠŗŠ¾Ń— Š²Ń‚Ń€Š°Ń‚Šø. ŠŸŠµŃ€ŠµŠ“чŠ°ŃŠ½Š¾, Š½Š°ŠæŠµŃ€ŠµŠ“Š¾Š“Š½Ń– Š’ŠµŠ»ŠøŠŗŠ¾Š“Š½Ń (29 Š±ŠµŃ€ŠµŠ·Š½Ń 2007 рŠ¾Šŗу), Š½Š° 66 у рŠ¾Ń†Ń– Š¶Šøття Š²Ń–Š“іŠ¹ŃˆŠ»Š° у Š²Ń–Ń‡Š½Ń–ŃŃ‚ŃŒ Š“Š°Š½Š½Š° Š™Š¾ŃŠøŠæіŠ²Š½Š° Š“Š¾Ń€ŠøŠ½ŃŒ ā€“ Š²Ń–Š“Š¾Š¼Š° Š²Ń‡ŠµŠ½Š°, ŠµŃ‚Š½Š¾Š»Š¾Š³, ŠŗуŠ»ŃŒŃ‚ŃƒŃ€Š¾Š»Š¾Š³, ŠŗŠ°Š½Š“ŠøŠ“Š°Ń‚ істŠ¾Ń€ŠøчŠ½Šøх Š½Š°ŃƒŠŗ, стŠ°Ń€ŃˆŠøŠ¹ Š½Š°ŃƒŠŗŠ¾Š²ŠøŠ¹ сŠæіŠ²Ń€Š¾Š±Ń–Ń‚Š½ŠøŠŗ Š²Ń–Š“Š“іŠ»Ńƒ ŠµŃ‚Š½Š¾Š»Š¾Š³Ń–Ń— сучŠ°ŃŠ½Š¾ŃŃ‚Ń– Š†Š½ŃŃ‚Šøтуту Š½Š°Ń€Š¾Š“Š¾Š·Š½Š°Š²ŃŃ‚Š²Š° ŠŠŠ Š£ŠŗрŠ°Ń—Š½Šø, чŠ»ŠµŠ½ ŠŠ¢ŠØ тŠ° Š²Ń‡ŠµŠ½Š¾Ń— рŠ°Š“Šø Š†Š ŠŠŠŠ£, тŠ°Š»Š°Š½Š¾Š²ŠøтŠøŠ¹ ŠæŠµŠ“Š°Š³Š¾Š³, ŠŗŠ²Š°Š»Ń–Ń„Ń–ŠŗŠ¾Š²Š°Š½ŠøŠ¹ Š¼ŃƒŠ·ŠµŠ¹Š½ŠøŠ¹ ŠæрŠ°Ń†Ń–Š²Š½ŠøŠŗ іŠ· Š²ŠøсŠ¾ŠŗŠøŠ¼ ŠæŠ¾Ń‡ŃƒŃ‚Ń‚ŃŠ¼ ŠæŠ°Ń‚ріŠ¾Ń‚ŠøчŠ½Š¾Š³Š¾ Š¾Š±Š¾Š²ā€™ŃŠ·Šŗу, Š³Ń€Š¾Š¼Š°Š“яŠ½ŃŃŒŠŗŠ¾ŃŽ сŠ²Ń–Š“Š¾Š¼Ń–стю тŠ° Š½Š°Ń†Ń–Š¾Š½Š°Š»ŃŒŠ½Š¾ŃŽ Š³Ń–Š“Š½Ń–стю.The article is dedicated to the memory of outstanding ethnographer, expert of culture, permanent worker of Modern Ethnology Department at the Institute of Ethnology of National Academy of Sciences of Ukraine Hanna Horyn. The life of this woman was full of many trials. Having overcome these trials she left rich scientific heritage

    Inferring predominant pathways in cellular models of breast cancer using limited sample proteomic profiling

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    <p>Abstract</p> <p>Background</p> <p>Molecularly targeted drugs inhibit aberrant signaling within oncogenic pathways. Identifying the predominant pathways at work within a tumor is a key step towards tailoring therapies to the patient. Clinical samples pose significant challenges for proteomic profiling, an attractive approach for identifying predominant pathways. The objective of this study was to determine if information obtained from a limited sample (i.e., a single gel replicate) can provide insight into the predominant pathways in two well-characterized breast cancer models.</p> <p>Methods</p> <p>A comparative proteomic analysis of total cell lysates was obtained from two cellular models of breast cancer, BT474 (HER2+/ER+) and SKBR3 (HER2+/ER-), using two-dimensional electrophoresis and MALDI-TOF mass spectrometry. Protein interaction networks and canonical pathways were extracted from the Ingenuity Pathway Knowledgebase (IPK) based on association with the observed pattern of differentially expressed proteins.</p> <p>Results</p> <p>Of the 304 spots that were picked, 167 protein spots were identified. A threshold of 1.5-fold was used to select 62 proteins used in the analysis. IPK analysis suggested that metabolic pathways were highly associated with protein expression in SKBR3 cells while cell motility pathways were highly associated with BT474 cells. Inferred protein networks were confirmed by observing an up-regulation of IGF-1R and profilin in BT474 and up-regulation of Ras and enolase in SKBR3 using western blot.</p> <p>Conclusion</p> <p>When interpreted in the context of prior information, our results suggest that the overall patterns of differential protein expression obtained from limited samples can still aid in clinical decision making by providing an estimate of the predominant pathways that underpin cellular phenotype.</p

    The appropriateness of prescribing antibiotics in the community in Europe: study design

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    Contains fulltext : 97417.pdf (publisher's version ) (Open Access)ABSTRACT: BACKGROUND: Over 90% of all antibiotics in Europe are prescribed in primary care. It is important that antibiotics are prescribed that are likely to be effective; however, information about antibiotic resistance in the community is incomplete. The aim of our study is to investigate the appropriateness of antibiotic prescribing in primary care in Europe by collecting and combining patterns of antibiotic resistance patterns and antibiotic prescription patterns in primary care. We will also evaluate the appropriateness of national antibiotic prescription guidelines in relation to resistance patterns. METHODS/DESIGN: Antibiotic resistance will be studied in an opportunistic sample from the community in nine European countries. Resistance data will be collected by taking a nose swab of persons (N = 4,000 per country) visiting a primary care practice for a non-infectious disease. Staphylococcus aureus and Streptococcus pneumoniae will be isolated and tested for resistance to a range of antibiotics in one central laboratory. Data on antibiotic prescriptions over the past 5 years will be extracted from the electronic medical records of General Practitioners (GPs). The results of the study will include the prevalence and resistance data of the two species and 5 years of antibiotic prescription data in nine European countries.The odds of receiving an effective antibiotic in each country will be calculated as a measure for the appropriateness of prescribing. Multilevel analysis will be used to assess the appropriateness of prescribing. Relevant treatment guidelines of the nine participating countries will be evaluated using a standardized instrument and related to the resistance patterns in that country. DISCUSSION: This study will provide valuable and unique data concerning resistance patterns and prescription behaviour in primary care in nine European countries. It will provide evidence-based recommendations for antibiotic treatment guidelines that take resistance patterns into account which will be useful for both clinicians and policy makers. By improving antibiotic use we can move towards controlling the resistance problem globally

    Predicting Bison Migration out of Yellowstone National Park Using Bayesian Models

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    Long distance migrations by ungulate species often surpass the boundaries of preservation areas where conflicts with various publics lead to management actions that can threaten populations. We chose the partially migratory bison (Bison bison) population in Yellowstone National Park as an example of integrating science into management policies to better conserve migratory ungulates. Approximately 60% of these bison have been exposed to bovine brucellosis and thousands of migrants exiting the park boundary have been culled during the past two decades to reduce the risk of disease transmission to cattle. Data were assimilated using models representing competing hypotheses of bison migration during 1990ā€“2009 in a hierarchal Bayesian framework. Migration differed at the scale of herds, but a single unifying logistic model was useful for predicting migrations by both herds. Migration beyond the northern park boundary was affected by herd size, accumulated snow water equivalent, and aboveground dried biomass. Migration beyond the western park boundary was less influenced by these predictors and process model performance suggested an important control on recent migrations was excluded. Simulations of migrations over the next decade suggest that allowing increased numbers of bison beyond park boundaries during severe climate conditions may be the only means of avoiding episodic, large-scale reductions to the Yellowstone bison population in the foreseeable future. This research is an example of how long distance migration dynamics can be incorporated into improved management policies

    Enhanced Dispersion of TiO2 Nanoparticles in a TiO2/PEDOT:PSS Hybrid Nanocomposite via Plasma-Liquid Interactions

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    A facile method to synthesize a TiO2/PEDOT:PSS hybrid nanocomposite material in aqueous solution through direct current (DC) plasma processing at atmospheric pressure and room temperature has been demonstrated. The dispersion of the TiO2 nanoparticles is enhanced and TiO2/polymer hybrid nanoparticles with a distinct core shell structure have been obtained. Increased electrical conductivity was observed for the plasma treated TiO2/PEDOT:PSS nanocomposite. The improvement in nanocomposite properties is due to the enhanced dispersion and stability in liquid polymer of microplasma treated TiO2 nanoparticles. Both plasma induced surface charge and nanoparticle surface termination with specific plasma chemical species are proposed to provide an enhanced barrier to nanoparticle agglomeration and promote nanoparticle-polymer binding

    Potential range of impact of an ecological trap network: the case of timber stacks and the Rosalia longicorn

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    Although the negative impact of timber stacks on populations of saproxylic beetles is a well-known phenomenon, there is relatively little data concerning the scale of this impact and its spatial aspect. Beech timber stored in the vicinity of the forest can act as an ecological trap for the Rosalia longicorn (Rosalia alpina), so in this study we have attempted to determine the spatial range of the impact of a network of timber stacks. Timber stacks in the speciesā€™ range in the study area were listed and monitored during the adult emergence period in 2014ā€“2016. Based on published data relating to the speciesā€™ dispersal capabilities, buffers of four radii (500, 1000, 1600, 3000 m) were delineated around the stacks and the calculated ranges of potential impact. The results show that the percentage of currently known localities of the Rosalia longicorn impacted by stacks varies from 19.7 to 81.6%, depending on the assumed impact radius. The percentage of forest influenced by timber stacks was 77% for the largest-radius buffer. The overall impact of the ecological trap network is accelerated by fragmentation of the impact-free area. It was also found that forests situated close to the timber stacks where the Rosalia longicorn was recorded were older and more homogeneous in age and species composition than those around stacks where the species was absent. Such results suggest that timber stacks act as an ecological trap in the source area of the local population

    Experimental and theoretical studies of nanofluid thermal conductivity enhancement: a review

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    Nanofluids, i.e., well-dispersed (metallic) nanoparticles at low- volume fractions in liquids, may enhance the mixture's thermal conductivity, knf, over the base-fluid values. Thus, they are potentially useful for advanced cooling of micro-systems. Focusing mainly on dilute suspensions of well-dispersed spherical nanoparticles in water or ethylene glycol, recent experimental observations, associated measurement techniques, and new theories as well as useful correlations have been reviewed

    A framework for evolutionary systems biology

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    <p>Abstract</p> <p>Background</p> <p>Many difficult problems in evolutionary genomics are related to mutations that have weak effects on fitness, as the consequences of mutations with large effects are often simple to predict. Current systems biology has accumulated much data on mutations with large effects and can predict the properties of knockout mutants in some systems. However experimental methods are too insensitive to observe small effects.</p> <p>Results</p> <p>Here I propose a novel framework that brings together evolutionary theory and current systems biology approaches in order to quantify small effects of mutations and their epistatic interactions <it>in silico</it>. Central to this approach is the definition of fitness correlates that can be computed in some current systems biology models employing the rigorous algorithms that are at the core of much work in computational systems biology. The framework exploits synergies between the realism of such models and the need to understand real systems in evolutionary theory. This framework can address many longstanding topics in evolutionary biology by defining various 'levels' of the adaptive landscape. Addressed topics include the distribution of mutational effects on fitness, as well as the nature of advantageous mutations, epistasis and robustness. Combining corresponding parameter estimates with population genetics models raises the possibility of testing evolutionary hypotheses at a new level of realism.</p> <p>Conclusion</p> <p>EvoSysBio is expected to lead to a more detailed understanding of the fundamental principles of life by combining knowledge about well-known biological systems from several disciplines. This will benefit both evolutionary theory and current systems biology. Understanding robustness by analysing distributions of mutational effects and epistasis is pivotal for drug design, cancer research, responsible genetic engineering in synthetic biology and many other practical applications.</p

    European clinical guidelines for Tourette syndrome and other tic disorders. Part II: pharmacological treatment

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    To develop a European guideline on pharmacologic treatment of Tourette syndrome (TS) the available literature was thoroughly screened and extensively discussed by a working group of the European Society for the Study of Tourette syndrome (ESSTS). Although there are many more studies on pharmacotherapy of TS than on behavioral treatment options, only a limited number of studies meets rigorous quality criteria. Therefore, we have devised a two-stage approach. First, we present the highest level of evidence by reporting the findings of existing Cochrane reviews in this field. Subsequently, we provide the first comprehensive overview of all reports on pharmacological treatment options for TS through a MEDLINE, PubMed, and EMBASE search for all studies that document the effect of pharmacological treatment of TS and other tic disorders between 1970 and November 2010. We present a summary of the current consensus on pharmacological treatment options for TS in Europe to guide the clinician in daily practice. This summary is, however, rather a status quo of a clinically helpful but merely low evidence guideline, mainly driven by expert experience and opinion, since rigorous experimental studies are scarce
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