130,847 research outputs found
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
Comprehensive Arterial Traffic Control for Fully Automated and Connected Vehicles
No full textConsidering the environmental concerns and space limitations of urban infrastructure, construction of new roads and broadening of the existing ones are not accepted practices for managing the ever-growing traffic demand. The current traffic management methods (e.g., traffic signals) in urban networks focus on the resolution of traffic conflicts at urban intersections. However, such an approach sometimes turns intersections into bottlenecks resulting in loss of efficiency, increased risk of the traffic crashes, and negative environmental impacts. Connected and Autonomous Vehicles (CAVs) are seen to revolutionize urban transportation and bring efficiency and safety benefits to the transportation users. However, the full extent of CAV benefits will not be achievable unless the traffic control systems are rethought from the roots.
The goal of this Ph.D. research is to investigate the impact of flexible organization of traffic flows on efficiency and safety of urban networks, in a fully automated and connected transportation environment. This study proposes a robust control concept, called Combined Flexible Lane Assignment and Reservation-Based Intersection Control (CFLARIC) system, which allows vehicles in the traffic stream to utilize, when not endangering the other road users, any part of the paved road surface. The control strategy used in CFLARIC works through discretization of space and time in the entire network, which enables CFLARIC to resolve the conflicts both along the links between intersections and within intersection boundaries. A microsimulation tool called Flexible Arterial Utilization Simulation Modeling (FAUSIM) has been developed in NetLogo to model such flexibility.
The performance of various CFLARIC scenarios is evaluated through a comparison with Fixed-Time Control (FTC) and Full Reservation-based Intersection Control (FRIC) on both hypothetical and filed-like urban arterials, under various traffic demand conditions. Furthermore, delay and surrogate conflict predictive models are developed to examine the performance of a Reservation-based Control strategies in a flexible automated traffic network. Lastly, the flexible traffic lane assignment has been addressed as a network optimization problem, where an optimal lane assignment schema is achieved by using metaheuristic algorithms. Findings show that the CFLARIC brings significant benefits, in terms of efficiency and reduction of vehicular conflicts, for various traffic demands and infrastructure conditions
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.
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Fifteen years of phenotypic and genotypic surveillance and antibiotic susceptibility pattern of Actinomycetes (Mycobacterium, Nocardia, Rhodococcus, etc.) in clinical and environmental samples of Iran
No full textActinomycetes, ubiquitous in the natural world, have been known to inflict infections upon both immunocompromised and healthy individuals. Interestingly enough, these species are oftentimes found residing within the microbiota of humans and animals alike. Unfortunately, these infections are frequently misdiagnosed as more sinister ailments such as malignancy or tuberculosis. Due to this issue, this review deals with 15 years of study on clinical and environmental samples to determine Actinomycetes' prevalence, isolation, identification, and antibiotic susceptibility pattern in Iran by Davood Azadi et al. According to the Davood Azadi framework, we searched the following databases: PubMed/MEDLINE, Embase, Scopus, Web of Science, SID, and Google Scholar in the period from 2007 to 2023. This review aimed to provide an overview of the most recent techniques for collecting environmental samples, cultivating them, and identifying the Actinomycetes group's members. The isolation of Actinomycetes from clinical and ecological sources is becoming more prevalent and should be a concern for health authorities in developing countries. Health centers should take action to increase awareness of diagnostic criteria and management guidelines for actinomycete diseases. Improvements in national and regional reference laboratories may also aid in accurately diagnosing these diseases
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
No full textThis article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
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