130,719 research outputs found
Waste and Discard in Italy and The Mediterranean. Theories, Practices, Literature and Film
No full text
Standard Versus Specific Therapy for Chronic Osteomyelitis Treatment
No full text58 patients with chronic osteomyelitis were treated either with a standard therapy or with a
specific targeted therapy based on the antibiogram assay. Standard therapy was performed by a 15-day
course of a parenteral cephalosporin (usually ceftriaxone) in combination with an aminoglycoside
(e.g. netilmicin), followed by oral therapy with a fluoroquinolone (generally ciprofloxacin) for 1 to 3
months; specific therapy largely varied depending on the antibiogram response. The results indicated
that no significant differences were found between the patients who received standard therapy (95.5 %
cured) and those who received a specific therapy (93.5 % cured), after a one year follow-up. It can be
concluded that a short-term combined parenteral-oral standard therapy, indicated in all those cases
where antibiotic therapy must be started before obtaining the laboratory response, or when a clear and
definite identification of the microorganisms involved in the infection is not possible, can be as
efficient as an antibiogram-guided therapy in the treatment of chronic osteomyelitis
Association of nutritionally variant streptococci with staphylococcus aureus in a case of osteomyelitis.
No full text
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
- …
