1,720,977 research outputs found
Comparative large-scale gene expression analysis of grape cultivars grown in Oltrepo area in Northern Italy
This research is part of a larger project (acronym: PIDICEUVE) for the creation of an analytical platform aimed at the integrated study of ripening in grapevine using both molecular and biochemical approaches. Five different cultivars widely cultivated in northern Italy, including four red-skinned cultivars ('Croatina', 'Barbera', 'Pinot noir', and 'Pinot gris') and one white-skinned cultivar ('Riesling italico'), have been compared during the ongoing of ripening from veraison until full maturation. Gene expression analysis has been performed using the Affymetrix GeneChip (R) technology. An example of multi-varietal comparison is reported and preliminary results are discussed. Three of the 334 transcripts in common between 'Barbera', 'Pinot gris' and 'Pinot noir' cultivars showed different trends comparing the earliest, the intermediate, and the latest stages of ripening. They code for a putative type I polyketide synthase, a major allergen-like protein and a heat shock-like protein
Identification and characterization of transcripts differentially expressed during development of apricot (Prunus armeniaca L.) fruits
The application of the complementary DNA (cDNA)-amplified fragment length polymorphism (AFLP) technique to clone transcripts differentially expressed during fruit development and ripening is reported. Using 34 different primer combinations, 265 cDNA-AFLP bands were found differentially expressed in six fruit developmental stages, with leaf and developing seed as controls. One hundred twenty-five bands were cloned and sequenced and database search allowed to identify genes involved in cell wall, sugar, lipid, organic acids, and protein metabolism, as well as genes participating in hormonal signaling and in signal transduction (51 sequences, 41% of total). Genomic and expression analyses for a group of genes as well as phylogenetic investigations were carried out. cDNA-AFLP profiles have been also compared to the corresponding Northern hybridization data. Several genes are described for the first time in apricot or in other Prunus species. They establish the basis for further investigation of the ripening process in stone fruits
PIDICEUVE: a project for comparative large-scale gene expression analysis of grape cultivars grown in the Oltrepo area in Northern Italy
Identification and characterization of transcripts differentially expressed during apricot fruit ripening
In this work we report preliminary results of a project aimed at the identification and cloning of genes differentially expressed during the ongoing of ripening in the apricot fruit. The application of the cDNA-AFLP technique to transcript profiling is reported as well as the cloning of 125 fragments representing genes showing differential expression levels. Among them, a xyloglucan endotransglycosylase (XET) gene was isolated and partially characterized
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
A tool for pro-active defense against the buffer overrun attack
The problem of buffer overruns, i.e., writing past the end of an array, in C programs has been known since the early seventies as one of the possible consequences of the C language data integrity philosophy. Since the late eighties, when computer security incidents started affecting the Internet, it has been clear that buffer overruns are a powerful threat to system security as they allow ordinary users to gain superuser privileges on Unix systems. Nowadays, buffer overruns are one of the most popular exploits in the hacker scene.
In this paper we present a tool for the automatic detection of buffer overrun vulnerabilities in object code. It can be applied to operating system components as well as ordinary programs. The tool is aimed at helping system administrators eliminate vulnerable programs before they are exploited. A fully working prototype for HP-UX and Linux systems is currently available. Extensions are planned for other Unix versions
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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