130,706 research outputs found
Correction to: Predictive and prognostic value of 18F-DOPA PET/CT in patients affected by recurrent medullary carcinoma of the thyroid (Annals of Nuclear Medicine, (2018), 32, 1, (7-15), 10.1007/s12149-017-1213-0)
No full textThe following affiliation should be added to the authors Agostino Chiaravalloti and Orazio Schillaci
Modelling and optimization of least-cost water distribution networks with multiple supply sources and users
No full textThe proper allocation of water resources is a very important practical problem in the field of water network planning. Optimization models that are expeditious and easy to use for all stakeholders of the sector play an important role for water resource management. The present work resumes and reviews a least-cost optimization model proposed by our group (Maiolo and Pantusa in Water Sci Tech-W Sup. https://doi.org/10.2166/ws.2015.114, 2016), able to design a water distribution network with multiple supply sources and multiple users. This approach requires of solving an optimization problem based on a nonlinear objective function which is proportional to the cost of the water distribution network. The cost of pre-existing pipelines is considered null. A more realistic scenario, able to consider the maximum flow rate allowed for existing sources-users connections, is considered here. In order to illustrate the usefulness and flexibility of the proposed approach, an application of the model to the real case of the province of Croton, Southern Italy, is presented
MeSH term explosion and author rank improve expert recommendations
No full textInformation 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
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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"
No full textBoth 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.
MSJ808204_appendix – Supplemental material for Symbol Digit Modalities Test: A valid clinical trial endpoint for measuring cognition in multiple sclerosis
No full textSupplemental material, MSJ808204_appendix for Symbol Digit Modalities Test: A valid clinical trial endpoint for measuring cognition in multiple sclerosis by Lauren Strober, John DeLuca, Ralph HB Benedict, Adam Jacobs, Jeffrey A Cohen, Nancy Chiaravalloti, Lynn D Hudson, Richard A Rudick and Nicholas G LaRocca in Multiple Sclerosis Journal</p
sj-docx-1-mso-10.1177_20552173211064473 - Supplemental material for Feasibility of cognitive rehabilitation in patients with advanced multiple sclerosis: A pilot study
No full textSupplemental material, sj-docx-1-mso-10.1177_20552173211064473 for Feasibility of cognitive rehabilitation in patients with advanced multiple sclerosis: A pilot study by Stefanos E Prouskas, Nancy D Chiaravalloti, Neeltje Kant, Karlene K Ball, Vincent de Groot, Bernard MJ Uitdehaag, Jeroen JG Geurts, Elizabeth A Kooij and Hanneke E Hulst in Multiple Sclerosis Journal – Experimental, Translational and Clinical</p
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