130,443 research outputs found
Identificazione e caratterizzazione di un’attività fenolo idrossilasica di Pseudomonas stutzeri OX1
No full textMedication against conflict
No full textAdverse health conditions and social conflict constitute major impediments for developing countries. The potential for reducing social conflict by successful public health interventions is largely unknown. This paper closes this gap by evaluating the effect of a major health intervention-the successful expansion of antiretroviral therapy (ART) to combat the HIV/AIDS pandemic in Africa. Combining exogenous time variation in access to ART with cross-sectional variation in the scope for treatment for identification, we find that the ART expansion significantly reduced the number of violent events in African countries and sub -national regions. The effect pertains to social conflict, not civil war. The evidence also shows that the effect is related to health improvements, greater approval of government policy, and increased trust in political institutions. Results of a counterfactual simulation reveal that the ART expansion reduced the number of social conflict events by about 10%
Exploring the relationship between endometriomas and infertility
No full textSeveral clinical and epidemiological studies demonstrated an association between endometriosis and infertility. A role in the genesis of infertility may be played by endometriomas, which may interfere with ovulation or damage ovarian tissue. Unlike peritoneal implants, the availability of an accurate noninvasive sonographic diagnosis facilitates the investigation of endometrioma associated infertility. The laparoscopic excision of an endometrioma relieves the ovary from the damage caused by the cyst itself, which may be progressive over time, but at the same time is associated with a detrimental effect on ovarian reserve and with high rates of postoperative endometrioma recurrence. Therefore, the management of endometrioma-related infertility should not be based upon surgery alone, but upon a combination of surgery, with a refinement of the operating technique, long-term oral contraceptive, in vitro fertilization and oocyte cryopreservation
Pancreatic enzyme supplementation after gastrectomy for gastric cancer: a randomized controlled trial
No full textBackground: Gastrectomy for gastric cancer is a significant cause of secondary exocrine pancreatic insufficiency. Pancreatic enzyme replacement therapy may influence nutritional status and quality of life after gastrectomy, but the pertinent clinical research to date remains controversial. A randomized controlled trial to test this hypothesis was carried out. Methods: After gastrectomy, 43 patients with gastric cancer were randomly assigned to a normal diet (Normal-d; n = 21) or to a pancreatic enzyme supplementation diet (PES-d; n = 22) and were followed up during a 12-month period, assessing nutritional status and quality of life through body mass index (BMI), instant nutritional assessment (INA) class status, serum pre-albumin (SPA) values, and GastroiIntestinal Quality of Life Index (GIQLI). Results: BMI was not significantly influenced by the type of diet; INA class status was significantly improved in the PES-d arm, particularly during the first 3 months after gastrectomy; SPA levels increased in both arms at 6 months after gastrectomy, reaching significantly higher values in the PES-d arm at 12 months. GIQLI was not significantly influenced by the type of diet throughout the follow-up period; however, this index significantly improved in the PES-d arm between the first and third month after gastrectomy. Conclusions: PES-d improves nutritional status and quality of life after gastrectomy for gastric cancer, particularly within 3 months from the operation. A larger, multicenter trial is necessary to address the potential influence of several confounding variables such as disease stage and adjuvant treatments
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.
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