Search results for "SIGNATURE"
showing 10 items of 218 documents
The topology of vitronectin: A complementary feature for neuroblastoma risk classification based on computer‐aided detection
2019
Tumors are complex networks of constantly interacting elements: tumor cells, stromal cells, immune and stem cells, blood/lympathic vessels, nerve fibers and extracellular matrix components. These elements can influence their microenvironment through mechanical and physical signals to promote tumor cell growth. To get a better understanding of tumor biology, cooperation between multidisciplinary fields is needed. Diverse mathematic computations and algorithms have been designed to find prognostic targets and enhance diagnostic assessment. In this work, we use computational digital tools to study the topology of vitronectin, a glycoprotein of the extracellular matrix. Vitronectin is linked to…
Lead isotopic fingerprint in human scalp hair: The case study of Iglesias mining district (Sardinia, Italy)
2017
The Sulcis-Iglesiente district (SW Sardinia, Italy) has been, until recently, one of the most important Italian polymetallic mining areas for the extraction of lead. Epidemiological studies conducted over several decades have indicated this site at high risk of environmental crisis with possible adverse effects on the public health. In the present paper we discuss Pb isotope signatures in human scalp hair and road dust collected from the Sulcis-Iglesiente area in order to trace the exposure of populations to potential Pb sources. A total of 23 determinations (20 on hair samples and 3 on road dust samples) of lead isotope ratios (206Pb/207Pb and 208Pb/206Pb) were carried out. The obtained re…
A Dynamic Attribute-Based Authentication Scheme
2015
Attribute-based authentication (ABA) is an approach to authenticate users by their attributes, so that users can get authenticated anonymously and their privacy can be protected. In ABA schemes, required attributes are represented by attribute trees, which can be combined with signature schemes to construct ABA schemes. Most attribute trees are built from top to down and can not change with attribute requirement changes. In this paper, we propose an ABA scheme based on down-to-top built attribute trees or dynamic attribute trees, which can change when attribute requirements change. Therefore, the proposed dynamic ABA scheme is more efficient in a dynamic environment by avoiding regenerating…
An Efficient Traceable Attribute-Based Authentication Scheme with One-Time Attribute Trees
2015
Attribute-based authentication (ABA) is a way to authenticate signers by means of attributes and it requests proof of possessing required attributes from the one to be authenticated. To achieve the property of traceability, required attributes should be combined with the signer’s attribute private keys in order to generate a signature. In some schemes, signers’ attribute keys are related to attribute trees, so changing attribute trees will cause the regeneration of all related attribute keys. In this paper, we propose an efficient traceable ABA scheme, where the generation of signers’ attribute keys is independent from attribute trees. Thus the same set of attribute keys can be used with a …
PRIvacy LEakage Methodology (PRILE) for IDS Rules
2010
This paper introduces a methodology for evaluating PRIvacy LEakage in signature-based Network Intrusion Detection System (IDS) rules. IDS rules that expose more data than a given percentage of all data sessions are defined as privacy leaking. Furthermore, it analyses the IDS rule attack specific pattern size required in order to keep the privacy leakage below a given threshold, presuming that occurrence frequencies of the attack pattern in normal text are known. We have applied the methodology on the network intrusion detection system Snort’s rule set. The evaluation confirms that Snort in its default configuration aims at not being excessively privacy invasive. However we have identified s…
Extraction of Endmembers from Spectral Mixtures
1999
Abstract Linear spectral mixture modeling (LSMM) divides each ground resolution element into its constituent materials using endmembers which represent the spectral characteristics of the cover types. However, it is difficult to identify and estimate the spectral signature of pure components or endmembers which form the scene, since they vary with the scale and purpose of the study. We propose three different methods to estimate the spectra of pure components from a set of unknown mixture spectra. Two of the methods consist in different optimization procedures based on objective functions defined from the coordinate axes of the dominant factors. The third one consists in the design of a neu…
The use of vineyard spectral signatures to identify table grape cultivars
2021
Vineyards have characteristic responses to sunlight. The reflectance values at the different wavelengths are typical of vegetation and define its spectral signature. The aim of this work was to determine the spectral signatures of table grape vineyards located in the production area of Robinvale (Victoria, Australia) in order to identify cultivars in the vineyard. Spectral signatures were detected from images in eight bands from the Worldview 3 platform. Spectral signatures for a representative number of plots were extracted using satellite reflectance images for each cultivar. Spectral signatures were also collected in the field, from the same cultivars, with a FieldSpec® HandHeld 2 portab…
Exploring genome-wide differentiation and signatures of selection in Italian and North American Holstein populations
2023
Among Italian dairy cattle, the Holstein is the most reared breed for the production of Parmigiano Reggiano protected designation of origin cheese, which represents one of the most renowned products in the entire Italian dairy industry. In this work, we used a medium-density genome-wide data set consisting of 79,464 imputed SNPs to study the genetic structure of Italian Holstein breed, including the population reared in the area of Parmigiano Reggiano cheese production, and assessing its distinctiveness from the North American population. Multidimensional scaling and ADMIXTURE approaches were used to explore the genetic structure among populations. We also investigated putative genomic regi…
Detection of genomic signatures of selection in the North African Brune de l’Atlas cattle
2018
The identification of signatures of selection in indigenous livestock genome is able to elucidate the adaptive mechanisms allowing them to cope with environmental pressures. In the present study, we used genotyping data from 106 Brune de l’Atlas cattle individuals and tests based on the extent of haplotype homozygosity (EHH) to look for footprints of natural selection. We identified 17 genomic regions displaying strong signal of selection (p-value <10-6) overlapping with previously described QTL regions affecting many traits such as meat and milk composition, tuberculosis susceptibility, tick and mastitis resistance. Some of these highly significant candidate regions overlap with four previ…
Selection signatures of fat tail in sheep
2017
The investigation of the genes with a role in lipid metabolism enjoy considerable scientific and commercial interest because of the strong correlations between fat deposition and the risk of cardiovascular disease. The fat tail characteristic of sheep is the adaptive response to harsh environment, and beyond representing a valuable energy reserve for facing future climate changes provides clues for elucidating the physiology of fat deposition. Studies on various sheep populations detected fat-tail signatures on chromosomes 2, 3, 5, 6, 7 and 13. Fat-tailed sheep represent about 25% of the world’s sheep population, and the genes with a role in this phenotype are likely not the same for every …