154,874 research outputs found
Memorial of Doctor D. Francisco de Escobar, Spain, June 14, 1610
No full textBox 1: Item 2012.175. Memorial of Doctor D. Francisco de Escobar (Spain), June 14, 1610. Manuscript, Toledo, Spain, consisting of a memorial, or inventory of goods, that belonged to doctor D. Francisco de Escobar upon the marriage to his second wife, Dona Eugenia de Montoya. The memorial was probably used as a dowry. Also mentioned in the manuscript is the doctor's first wife, Dona Melchora de los Reyes. See item 2011.627 in this collection for the testament of Escobar's first wife
Fotografía UDBC029740
No full textFotografía del ejemplar Escobar-E., D. 39, determinado como Palicourea tomentosa en el año 200
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
Subjective Versus Objective: An Exploratory Analysis of Latino Primary Care Patients With Self-Perceived Depression Who Do Not Fulfill Primary Care Evaluation of Mental Disorders Patient Health Questionnaire Criteria for Depression
No full textObjective: Identification and treatment of depression may be difficult for primary care providers when there is a mismatch between the patient’s subjective experiences of illness and objective criteria. Cultural differences in presentation of symptoms among Latino immigrants may hinder access to care for treatment of depression. This article seeks to describe the self-perceptions and symptoms of Latino primary care patients who identify themselves as depressed but do not meet screening criteria for depression.
Method: A convenience sample of Latino immigrants (N = 177) in Corona, Queens, New York, was obtained from a primary care practice from August 2008 to December 2008. The sample was divided into 3 groups according to whether participants met Patient Health Questionnaire diagnostic criteria for depression and whether or not participants had a self-perceived mental health problem and self-identified their problem as “depression” from a checklist of cultural idioms of distress. Psychosocial, demographic, and treatment variables were compared between the 3 groups.
Results: Participants’ descriptions of symptoms had a predominantly somatic component. The most common complaints were ánimo bajo (low energy) and decaimiento (weakness). Participants with “subjective” depression had mean scores of somatic symptoms and depression severity that were significantly lower than the participants with “objective” depression and significantly higher than the group with no depression (P < .0001).
Conclusions: Latino immigrants who perceive that they need help with depression, but do not meet screening criteria for depression, still have significant distress and impairment. To avoid having these patients “fall through the cracks,” it is important to take into account culturally accepted expressions of distress and the meaning of illness for the individual.Peer reviewe
"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.
Maximum likelihood detection for probabilistic models of optical code division multiple access channels
No full textThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.Bibliography: leaves 160-162.by Julio Escobar Villarrué.Ph.D
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
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