1,720,966 research outputs found
NMR-D2O and HPLC-NaBr dilutions matched with multifrequency-BIA revealed biological markers for migraine
Alcohol abuse: An under-estimated risk factor for hypertension. A review.
While the effects of alcohol on blood pressure have been widely investigated, this effect of alcohol is commonly underestimated in current clinical practice, since it is shadowed by the decreased vascular resistance in alcoholic cirrhosis. Thus. the most significant studies are reviewed here. Indeed, the potential mechanisms of alcohol-induced hypertension (sympathetic system activation, CHR release) are discussed, as well as the relationship between hypertension and alcohol withdrawal. The debated matter of the relationship between alcohol intake, heart diseases, stroke and hypertension is discussed, and a cautious approach is suggested, as the alleged protective effects of "safe" drinking on coronary heart disease may be counterbalanced by the induction of alcohol-dependence. Thus, drinking should not be suggested to abstinent people
Brain damage assessment in chronic alcoholics on early-stage recovery by Lacks' adaptation of Bender's Visual Motor Gestalt Test.
It is now established that heavy alcohol intake lasting for more than 10-15 years may lead to a dramatic impairment of brain function, as in severe alcohol related pathologies, like liver cirrhosis. It is common opinion, however, that mild impairment of the cognitive functions can be of detoxification, as a consequence above all of alcohol neurotoxicity. In this study, in a series of alcoholics on early stage abstinence from alcohol, brain damage was assessed by Bender's Visual Motor Gestal Test (BVMGT) as a clinical tool for sampling visual-motor proficiency, and as a standard projective technique in the assessment of personality. According to Lacks' specific adaptation, 12 parameters (standardized "errors") were evaluated, as well as some standardized behavioral observations allowing a discrimination between patients with brain organic damage and with psychosis. The cut-off between organic and non-organic patients was set at five errors. The patients were tested on the first days of treatment, to assess the possibility of obtaining a test suitable for diagnosis and for the choice of treatment at such an early stage. According to Lacks' adaption and interpretation of BVMGT, our series was split into two subsets, <5 and ≥5 cumulative error score: only 77 patients out of 187 were in the ≥5 subset of organic brain damaged patients. The heterogeneity of our total sample for organic damage was confirmed by the cumulative score, 4.24 ± 1.62, showing a high dispersion of individual data. According to Abbate and Ferracuti, patients affected by different diseases (organic brain damage, schizophrenia, personality disorders) could be discriminated by the percent distribution of errors. In our series of chronic alcoholics, a characteristic feature is very high score for closure difficulty (85%) and for cohesion (73%); while closure difficulty is very high score in all subjects in Abbate and Ferracuti's study, the score of cohesion was low in all their groups. Thus the presence of high score only for closure difficulty and cohesion could suggest a diagnosis of alcoholism. This hypothesis, however, must be confirmed by a validation of BVMGT versus referece tests for the diagnosis of alcoholism(at present, this research is in progress in our Center)
Assessment of Body Composition by Bioelectrical Impedance in Adolescent Patients with Celiac Disease.
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We 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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