130,386 research outputs found

    R&D Funds from Abroad in the Context of the Technological Change

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    In the article the Author analyzes the question of the R&D funds from abroad, considering the role of this funds in the total R&D and business R&D in selected countries. In the second part it outlines the problem of the R&D expenditures of the foreign affiliates of the TNCs, presenting the benefits and costs of this type of the R&D financing

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    GLOBALIZATION OF R&D AND DEVELOPING COUNTRIES

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    The paper examines the globalization of the R&amp;D, including the factors which have impact on this phenomenon. Transnational corporations account for a major part of global R&amp;D and they are selecting some developing countries as locations for R&amp;D activities. This article identifies the effects of the R&amp;D offshoring for developing countries and discusses the determinants attracting FDI in research and development.</p

    Ocular microvascular changes in COVID-19 : role of hypoxia, D-dimer, IL-6 and systemic treatment

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    BackgroundThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been associated with endothelial dysfunction, which may also compromise the microcirculation within ocular tissues. This prospective study evaluated associations between radial peripapillary capillary (RPC) vessel density (VD) and systemic treatment, age, hypoxia, D-dimer, and interleukin-6 (IL-6) levels in patients recovering from coronavirus disease 2019 (COVID-19) related pneumonia.MethodsSixty-three individuals who were admitted to the hospital due to COVID-19 bilateral pneumonia underwent ophthalmic examination two months post-discharge. RPC VD was measured using optical coherence tomography angiography. Associations with age, arterial hypertension, and systemic treatment (dexamethasone, remdesivir, and oxygen therapy), oxygen saturation, D-dimer, and IL-6 levels were evaluated. The control group comprised 43 control participants with no history of COVID-19 who attended routine ophthalmic examinations.ResultsNo ophthalmic abnormalities were detected. RPC VD did not differ significantly with hypertension or systemic treatment with dexamethasone and remdesivir. However, patients receiving oxygen therapy had higher RPC VD. A borderline inverse correlation was observed between inferior RPC VD and age. There were no correlations between RPC VD and oxygen saturation. Significant inverse correlations were found between nasal RPC and mean RPC with D-dimer levels and between inferior RPC VD and IL-6 levels. No significant differences in RPC parameters were observed when comparing the COVID-19 group with controls.ConclusionsHypertension or systemic treatment had no significant effect on RCP VD. However, VD in specific RPC areas correlated inversely with D-dimer and IL-6 levels, highlighting the need for monitoring peripapillary microvasculature for potential long-term ocular effects of COVID-19

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    Changes in macular ganglion cell and retinal nerve fiber layer thickness during recovery from infection with the B.1.1.7 variant of SARS-CoV-2 in previously hospitalized patients with COVID-19 bilateral pneumonia

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    Coronavirus disease 2019 (COVID-19) has been associated with various systemic complications, including potential impacts on ocular health. Recent studies have suggested that COVID-19 may lead to changes in retinal structure, particularly in the neuroretinal and retinal nerve fiber layers (RNFL). This study aimed to examine changes in neuroretinal and RNFL of the optic dics based on optical coherence tomography (OCT) in patients hospitalized due to COVID-19 bilateral pneumonia at 2 time points after discharge. A prospective study involved 49 patients with COVID-19 bilateral pneumonia hospitalized between March and May 2021. Baseline ocular evaluations were conducted 2 months post-discharge, with follow-up examinations 6 months later. Retinal parameters, including RNFL and ganglion cell layers (GCL), were assessed. Control group of healthy individuals also underwent similar ophthalmic examinations for comparative analysis. We found that the average thickness of the retinal nerve fiber layer (RNFL) of the optic disc was lower in the COVID-19 group than in controls (p≤0.01). The ganglion cell layer (GCL) was thicker in the inner inferior ring (p=0.008) but thinner in the outer superior, outer nasal, and outer inferior rings (p=0.044, p&lt;0.01, and p&lt;0.01, respectively). OCT parameters were assessed according to sex. At 6 months, the RNFL of the inner inferior and outer temporal rings was thinner in women than in men (p=0.022 and p=0.020, respectively). The GCL of the inner temporal and outer temporal rings was also thinner in women than in men (p=0.004 and p=0.005, respectively). In conclusion: at 6-month follow-up, RNFL and GCL thickness was significantly lower in some areas of the retina compared with baseline. COVID-19 seems to cause changes in the macular retina, highlighting the need for ophthalmologic screening of patients with a history of SARS-CoV-2 infection

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    Otwarta innowacja a internacjonalizacja działalnooeci badawczo-rozwojowej współczesnych przedsiębiorstw

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    Research and development activity of the contemporary enterprises is characterized by two processes: dynamic development of the R&amp;D internationalization process and open innovation model of performing innovations. In this article the Author takes on an attempt to identify the relations and interactions between these phenomena. The performed analyses shows that implementation of the open innovation by multinationals is the factor which stimulates the R&amp;D internationalization process because of the possibility of obtaining external sources of innovations from global economy. Realizing the open innovation model, corporations internationalize the R&amp;D by both locating their R&amp;D units abroad and engaging in international research cooperation. In view of this, the internationalization of business R&amp;D becomes the evident sequence of open innovation. On the other hand, the process of internationalization of the R&amp;D may not stimulate open innovation. The asymmetry in knowledge and technology transfers caused by the orientation of the R&amp;D units towards absorption of external sources creates a deficit in transfers from these subsidiaries to external parties in location country

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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