Institution
University College Dublin
Education•Dublin, Dublin, Ireland•
About: University College Dublin is a education organization based out in Dublin, Dublin, Ireland. It is known for research contribution in the topics: Population & Irish. The organization has 22895 authors who have published 55318 publications receiving 1759686 citations. The organization is also known as: University College Dublin – National University of Ireland, Dublin & National University of Ireland, Dublin - University College Dublin.
Topics: Population, Irish, European union, Large Hadron Collider, Poison control
Papers published on a yearly basis
Papers
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TL;DR: The basic concept of the nanoparticle corona is reviewed and its structure and composition is highlighted, and how the properties of the corona may be linked to its biological impacts are highlighted.
Abstract: The search for understanding the interactions of nanosized materials with living organisms is leading to the rapid development of key applications, including improved drug delivery by targeting nanoparticles, and resolution of the potential threat of nanotechnological devices to organisms and the environment. Unless they are specifically designed to avoid it, nanoparticles in contact with biological fluids are rapidly covered by a selected group of biomolecules to form a corona that interacts with biological systems. Here we review the basic concept of the nanoparticle corona and its structure and composition, and highlight how the properties of the corona may be linked to its biological impacts. We conclude with a critical assessment of the key problems that need to be resolved in the near future.
2,245 citations
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TL;DR: The ellipses are unbiased with respect to sample size, and their estimation via Bayesian inference allows robust comparison to be made among data sets comprising different sample sizes, which opens up more avenues for direct comparison of isotopic niches across communities.
Abstract: 1. The use of stable isotope data to infer characteristics of community structure and niche width of community members has become increasingly common. Although these developments have provided ecologists with new perspectives, their full impact has been hampered by an inability to statistically compare individual communities using descriptive metrics. 2. We solve these issues by reformulating the metrics in a Bayesian framework. This reformulation takes account of uncertainty in the sampled data and naturally incorporates error arising from the sampling process, propagating it through to the derived metrics. 3. Furthermore, we develop novel multivariate ellipse-based metrics as an alternative to the currently employed Convex Hull methods when applied to single community members. We show that unlike Convex Hulls, the ellipses are unbiased with respect to sample size, and their estimation via Bayesian inference allows robust comparison to be made among data sets comprising different sample sizes. 4. These new metrics, which we call SIBER (Stable Isotope Bayesian Ellipses in R), open up more avenues for direct comparison of isotopic niches across communities. The computational code to calculate the new metrics is implemented in the free-to-download package Stable Isotope Analysis for the R statistical environment.
2,226 citations
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TL;DR: This review tries to address the issue while providing the fundamental principles of these techniques, summarizing the core mathematical principles and offering practical guidelines on tackling commonly encountered problems while running DLS and ZP measurements.
2,215 citations
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Duke University1, University of Alabama at Birmingham2, Pasteur Institute3, Albert Einstein College of Medicine4, University of Texas at San Antonio5, Veterans Health Administration6, St George's Hospital7, University of Southern California8, Necker-Enfants Malades Hospital9, University of Pittsburgh10, University College Dublin11, Wayne State University12, University of Sydney13
TL;DR: Emphasis has been placed on potential complications in management of cryptococcal infection, including increased intracranial pressure, immune reconstitution inflammatory syndrome (IRIS), drug resistance, and cryptococcomas.
Abstract: Cryptococcosis is a global invasive mycosis associated with significant morbidity and mortality. These guidelines for its management have been built on the previous Infectious Diseases Society of America guidelines from 2000 and include new sections. There is a discussion of the management of cryptococcal meningoencephalitis in 3 risk groups: (1) human immunodeficiency virus (HIV)-infected individuals, (2) organ transplant recipients, and (3) non-HIV-infected and nontransplant hosts. There are specific recommendations for other unique risk populations, such as children, pregnant women, persons in resource-limited environments, and those with Cryptococcus gattii infection. Recommendations for management also include other sites of infection, including strategies for pulmonary cryptococcosis. Emphasis has been placed on potential complications in management of cryptococcal infection, including increased intracranial pressure, immune reconstitution inflammatory syndrome (IRIS), drug resistance, and cryptococcomas. Three key management principles have been articulated: (1) induction therapy for meningoencephalitis using fungicidal regimens, such as a polyene and flucytosine, followed by suppressive regimens using fluconazole; (2) importance of early recognition and treatment of increased intracranial pressure and/or IRIS; and (3) the use of lipid formulations of amphotericin B regimens in patients with renal impairment. Cryptococcosis remains a challenging management issue, with little new drug development or recent definitive studies. However, if the diagnosis is made early, if clinicians adhere to the basic principles of these guidelines, and if the underlying disease is controlled, then cryptococcosis can be managed successfully in the vast majority of patients.
2,109 citations
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University of Mainz1, Paris Descartes University2, University of Perugia3, Carlos III Health Institute4, Utrecht University5, Helsinki University Central Hospital6, Leiden University7, French Institute of Health and Medical Research8, Imperial College London9, University of Alcalá10, University Hospital of Lausanne11, Medical University of Vienna12, University of Göttingen13, Maastricht University14, University of Franche-Comté15, University College Dublin16, Medical University of Warsaw17, University of Geneva18
TL;DR: Guidelines summarize and evaluate available evidence with the aim of assisting health professionals in proposing the best management strategies for an individual patient with a given condition.
Abstract: Guidelines summarize and evaluate available evidence with the aim of assisting health professionals in proposing the best management strategies for an individual patient with a given condition. Guidelines and their recommendations should facilitate decision making of health professionals in their daily practice. However, the final decisions concerning an individual patient must be made by the responsible health professional(s) in consultation with the patient and caregiver as appropriate.
2,079 citations
Authors
Showing all 23220 results
Name | H-index | Papers | Citations |
---|---|---|---|
Alan C. Evans | 183 | 866 | 134642 |
James J. Heckman | 175 | 766 | 156816 |
Marc Weber | 167 | 2716 | 153502 |
Stephen J. O'Brien | 153 | 1062 | 93025 |
Bernard J. Gersh | 146 | 973 | 95875 |
Christopher George Tully | 142 | 1843 | 111669 |
Felicitas Pauss | 141 | 1623 | 104493 |
Marcus Hohlmann | 140 | 1356 | 94739 |
Martin Grunewald | 140 | 1575 | 126911 |
Harvey B Newman | 139 | 1594 | 88308 |
Eva Halkiadakis | 137 | 1604 | 97953 |
Jane Nachtman | 136 | 1855 | 102229 |
Tim J Cole | 136 | 827 | 92998 |
Frank Filthaut | 135 | 1684 | 103590 |
Ren-Yuan Zhu | 135 | 1538 | 123667 |