1,721,048 research outputs found
Nonlinear analysis of concrete truss structures with unbonded tendons external longitudinal post-tensioning
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Hyperbranched Molecular Structures with Potential Antiviral Activity: Derivatives of 5,6-Dihydroxyindole-2-Carboxylic Acid
No full textIn the search of new HIV-1 integrase (IN) inhibitors, we synthesized a series of multimeric 5,6-dihydroxyindole-2-carboxylic acid (DHICA) derivatives. Preliminary results indicate that hyperbranched architectures could represent a peculiar molecular requisite for the development of new antiviral lead compounds.In the search of new HIV-1 integrase (IN) inhibitors, we synthesized a series
of multimeric 5,6-dihydroxyindole-2-carboxylic acid (DHICA) derivatives. Preliminary
results indicate that hyperbranched architectures could represent a peculiar molecular
requisite for the development of new antiviral lead compound
The effect of noise on serum and urinary magnesium and catecholamines in humans
No full textWe have studied whether a short-term exposure to loud noise was able to modify urinary catecholamine excretion and serum concentration and urinary excretion of magnesium and other related electrolytes. In 25 healthy volunteers, blood and urine concentrations of magnesium, calcium, phosphorus and creatinine, and urinary catecholamines were measured before and after exposure to noise in an industrial plant. Samples were collected at 08:00 h on the day of the experiment and soon after noise exposure (at 20:00 h). Two further urine samples were collected the following day and 2 days after the experiment, always at 08:00 h in the morning. The sound energy average level was 98 dB(A), but peak levels reached 108 dB(A). Urinary catecholamines were determined by high-performance liquid chromatography. Serum magnesium and calcium were significantly increased after exposure to noise, whereas phosphorus displayed a similar but non-significant trend (P = 0.065). Multivariate analysis of variance (ANOVA) showed significant differences both among subjects (P 0.05). Urinary magnesium levels were significantly different across time (P = 0.0-17). Urinary calcium levels were not significantly different across time (P = 0.36). Urinary phosphate values were increased after exposure to noise (P = 0.007); urinary creatinine was not changed after exposure (P > 0.05). Our study shows that noise induces significant increases of serum calcium and magnesium, with a borderline increase of serum phosphorus; this in turn is reflected in a significantly increased urinary excretion of magnesium and phosphate after exposure, which lasts for the following 2 days. Urinary calcium and creatinine were not modified by noise. The difference in catecholamine values did not reach statistical significance. Thus, we failed to substantiate a significant correlation between catecholamine secretion and magnesium metabolism, as others had suggested. Z9
On the capability of the SBAS-DInSAR technique to investigate deformation phenomena of large areas with low resolution data
No full textOptimizing and Evaluating Pre- Trained Large Language Models for Alzheimer's Disease Detection
No full textThis research focuses on developing improved diagnostic tools for Alzheimer's Disease (AD), a condition impacting approximately 50 million individuals globally. In the paper, we achieve automatic AD detection by leveraging pre-trained Large Language Models (LLMs) for linguistic analysis applied to the ADReSS/ADReSSo (Alzheimer's Dementia Recognition through Spontaneous Speech/only) Challenges datasets, following speech-to-text conversion. While the recent advancements in LLMs offer a robust foundation for their application in healthcare, fine-tuning these models for specific tasks, like AD detection, requires optimization to balance performance and computational efficiency. Also in response to data privacy concerns in healthcare, we implement our methodology on consumer-level GPU cards, which offer a practical solution for local data processing. Our approach uses fine-tuning techniques such as Low Ranking Adaptation and Parameter-Efficient Fine-Tuning to enhance the capabilities of Large Language Models within the limits of consumer-grade hardware. Additionally, we incorporate quantization to reduce computational demands while preserving model accuracy. Conducted on setups with RTX 4090 and dual RTX 3090 GPUs, our experiments demonstrate promising results that align with or surpass existing benchmarks in dementia recognition
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