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Search Results: 1 - 10 of 18831 matches for " Pietro Di Giuseppe "
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Topological Classification of Holomorphic, Semi-Hyperbolic Germs, in "Quasi-Absence" of Resonances
Pietro Di Giuseppe
Mathematics , 2005,
Abstract: The classification, by topological conjugacy, of invertible holomorphic germs $f:(\mathbb{C}^n,0)\to (\mathbb{C}^n,0)$, with $\lambda_1,...,\lambda_n$ eigenvalues of $df_0$, and $|\lambda_i|\neq 1$ for $i=2,...,n$ while $\lambda_1$ is a root of the unity, is given, in the suitable hypothesis of ``quasi-absence'' of resonances.
REGIONAL DIFFERENCES OF THE MACROECONOMIC VARIABLE IN THE DEFAULT RATE OF SMALL-MEDIUM ENTERPRISES: THE ITALIAN CASE.
Filippo Di Pietro,Giuseppe Lusignani
Economics and Finance Review , 2011,
Abstract: Italian Small-Medium Enterprises have experienced different levels of default rate according to the regional area where they are located. For this reason we think that it is worth studying if SMEs located in some specific areas are more affected by the business cycle and identifying which are the macroeconomic variable that mostinfluence the SME default rate in each area, in order to give a tool to lenders and borrowers to evaluate their credit portfolio exposition to identify which are the main macroeconomic risks due to the location of their business. We divide the data in 5 territorially homogeneous groups (clusters). For each cluster the macroeconomic variables are identified by OLS regression and stepwise selection. When all macroeconomic variables have been identified for each cluster, we estimate the coefficient by a Seemingly Unrelated Regression (SUR) model. We find business cycle affect differently SMEs default rates are according the area.
Analytic semigroup generated by an elliptic operator with discontinuous coefficients
Giuseppe Di Fazio,Pietro Zamboni
Le Matematiche , 2000,
Abstract: We consider the generation of analytic semigroups by elliptic operators with discontinuous coefficients.
DMET-Analyzer: automatic analysis of Affymetrix DMET Data
Guzzi Pietro,Agapito Giuseppe,Di Martino Maria,Arbitrio Mariamena
BMC Bioinformatics , 2012, DOI: 10.1186/1471-2105-13-258
Abstract: Background Clinical Bioinformatics is currently growing and is based on the integration of clinical and omics data aiming at the development of personalized medicine. Thus the introduction of novel technologies able to investigate the relationship among clinical states and biological machineries may help the development of this field. For instance the Affymetrix DMET platform (drug metabolism enzymes and transporters) is able to study the relationship among the variation of the genome of patients and drug metabolism, detecting SNPs (Single Nucleotide Polymorphism) on genes related to drug metabolism. This may allow for instance to find genetic variants in patients which present different drug responses, in pharmacogenomics and clinical studies. Despite this, there is currently a lack in the development of open-source algorithms and tools for the analysis of DMET data. Existing software tools for DMET data generally allow only the preprocessing of binary data (e.g. the DMET-Console provided by Affymetrix) and simple data analysis operations, but do not allow to test the association of the presence of SNPs with the response to drugs. Results We developed DMET-Analyzer a tool for the automatic association analysis among the variation of the patient genomes and the clinical conditions of patients, i.e. the different response to drugs. The proposed system allows: (i) to automatize the workflow of analysis of DMET-SNP data avoiding the use of multiple tools; (ii) the automatic annotation of DMET-SNP data and the search in existing databases of SNPs (e.g. dbSNP), (iii) the association of SNP with pathway through the search in PharmaGKB, a major knowledge base for pharmacogenomic studies. DMET-Analyzer has a simple graphical user interface that allows users (doctors/biologists) to upload and analyse DMET files produced by Affymetrix DMET-Console in an interactive way. The effectiveness and easy use of DMET Analyzer is demonstrated through different case studies regarding the analysis of clinical datasets produced in the University Hospital of Catanzaro, Italy. Conclusion DMET Analyzer is a novel tool able to automatically analyse data produced by the DMET-platform in case-control association studies. Using such tool user may avoid wasting time in the manual execution of multiple statistical tests avoiding possible errors and reducing the amount of time needed for a whole experiment. Moreover annotations and the direct link to external databases may increase the biological knowledge extracted. The system is freely available for academic purposes at: htt
The influence of pregnancy and the beginning of lactation on pelage traits in cashmere goats
Raffaele Celi,Adriana Di Trana,Pietro Celi,Giuseppe Marsico
Italian Journal of Animal Science , 2010, DOI: 10.4081/ijas.2005.85
Abstract: The aim of this study was to investigate the effect of pregnancy followed by the beginning of lactation on fibre traits in cashmere goats. Two groups of cashmere-bearing goats aged between 2-3 years were used. The control group (A) included 12 non-lactating, non-pregnant subjects. The experimental group (B) included 12 goats mated during the first week of June, in order to have pregnancy and the beginning of lactation coincide with the period when cashmere normally grows. As expected, Liveweight significantly varied in Group B during the last two months of pregnancy, when foetal growth reaches its maximum, and following delivery. Hair patch weight, because of the continuous growth of primary and secondary fibres, increased significantly during the trial (P<0.001). The physiological status considered negatively affected (P<0.05) the total mean growth rate of cashmere fibres and, as a result, their length. Cashmere daily growth rate values varied significantly (P<0.05) throughout the experiment, while the effect of the physiological status was noted only in November – December. Furthermore, this parameter also seems to be influenced by climatic factors and, in particular, environmental temperature, as shown by the negative correlation (r = - 0.28; P<0.05) between cashmere daily growth rate and environmental temperature. Guard hair length and growth rate did not differ between the two groups, however, they were influenced by time. Cashmere yield and cashmere production were lower in group B (P<0.05). No differences between groups were observed for cashmere diameter. Overall, pregnancy and the consequent period of lactation negatively influenced cashmere rather than guard hair fibres. These negative effects were noted in quantitative terms as yield and production dropped by 37% and 43%, respectively. We hypothesise that the complete overlap of pregnancy and lactation with the period of cashmere growth reduced the number of secondary active follicles and their degree of activity and caused an increase in competition for the partitioning of nutrients between hair follicles and the gravid uterus, first, and then the mammary gland, later.
H?lder regularity for non divergence form elliptic equations with discontinuous coefficients
Giuseppe Di Fazio,Maria Stella Fanciullo,Pietro Zamboni
Mathematics , 2012,
Abstract: In this note we study the global regularity in the Morrey spaces for the second derivatives for the strong solutions of non variational elliptic equations.
Holographic imaging of unlabelled sperm cells for semen analysis: a review
Giuseppe Di Caprio,Maria Antonietta Ferrara,Lisa Miccio,Francesco Merola,Pasquale Memmolo,Pietro Ferraro,Giuseppe Coppola
Physics , 2014,
Abstract: Male reproductive health in both humans and animals is an important research field in biological study. In order to characterize the morphology, the motility and the concentration of the sperm cells, which are the most important parameters to feature them, digital holography demonstrated to be an attractive technique. Indeed, it is a labelfree, non-invasive and high-resolution method that enables the characterization of live specimen. The review is intended both for summarize the state-of-art on the semen analysis and recent achievement obtained by means of digital holography and for exploring new possible applications of digital holography in this field.
Latent Class Approach to Estimate the Willingness to Pay for Transit User Information  [PDF]
Pietro Zito, Giuseppe Salvo
Journal of Transportation Technologies (JTTs) , 2012, DOI: 10.4236/jtts.2012.23021
Abstract: The aim of analysis is to understand how unreliable information influences user behaviour and how much it discourages public transport use. For this purpose, a Stated Preference Survey was carried out in order to know the preferences of public transport users relating to information needs and uncertainty on the information provided by Advanced Traveller Information System (ATIS). The perceived uncertainty is defined as information inaccuracy. In our study, we considered the difference between forecasted or scheduled waiting time at the bus stop and/or metro station provided by ATIS, and that experienced by user, to catch the bus and/or metro. A questionnaire was submitted to an appropriate sample of Palermo’s population. A Latent Class Logit model was calibrated, taking into account attributes of cost, information inaccuracy, travel time, waiting time, and cut-offs in order to reveal preference heterogeneity in the perceived information. The calibrated model showed various sources of preference heterogeneity in the perceived information of public transport users as highlighted by the analysis reported. Finally, the willingness to pay was estimated, confirming a great sensitivity to the perceived information, provided by ATIS.
Digital holographic microscopy for the evaluation of human sperm structure
Gianluca Coppola,Giuseppe Di Caprio,Martin Wilding,Pietro Ferraro,Giusy Esposito,Loredana Di Matteo,Roberta Dale,Giuseppe Coppola,Brian Dale
Physics , 2013,
Abstract: The morphology of the sperm head has often been correlated with the outcome of in vitro fertilization (IVF), and has been shown to be the sole parameter in semen of value in predicting the success of intracytoplasmic sperm injection (ICSI) and intracytoplasmic morphologically selected sperm injection (IMSI). In this paper, we have studied whether Digital Holographic (DH) microscopy may be useful to obtain quantitative data on human sperm head structure and compared this technique to high power digitally enhanced Nomarski microscope. The main advantage of DH is that a high resolution 3-D quantitative sample imaging may be obtained thorugh numerical refocusing at different object planes without any mechanical scanning. We show that DH can furnish useful information on the dimensions and structure of human spermatozoo, that cannot be revealed by conventional phase contrast microscopy. In fact, in this paper DH has been used to evaluate volume and indicate precise location of vacuoles, thus suggesting its use as an additional useful prognostic quantitative tool in assisted reproduction technology (ART).
Sequence similarity is more relevant than species specificity in probabilistic backtranslation
Alfredo Ferro, Rosalba Giugno, Giuseppe Pigola, Alfredo Pulvirenti, Cinzia Di Pietro, Michele Purrello, Marco Ragusa
BMC Bioinformatics , 2007, DOI: 10.1186/1471-2105-8-58
Abstract: This paper describes EasyBack, a new parameter-free, fully-automated software for backtranslation using Hidden Markov Models. EasyBack is not based on imitation of codon usage within the target species, but instead uses a sequence-similarity criterion. The model is trained with a set of proteins with known cDNA coding sequences, constructed from the input protein by querying the NCBI databases with BLAST. Unlike existing software, the proposed method allows the quality of prediction to be estimated. When tested on a group of proteins that show different degrees of sequence conservation, EasyBack outperforms other published methods in terms of precision.The prediction quality of a protein backtranslation methis markedly increased by replacing the criterion of most used codon in the same species with a Hidden Markov Model trained with a set of most similar sequences from all species. Moreover, the proposed method allows the quality of prediction to be estimated probabilistically.In natural systems, proteins are synthesized using template mRNA derived from molecules transcribed from the encoding genes. Backtranslation (reverse translation) reverses the normal flow of information, exploiting the primary structure of a protein to deduce the nucleotide sequence of the encoding mRNA. Backtranslation tools are basic to the construction of synthetic DNA segments (gene design systems) [1]. Such systems use suitable modules to optimize backtranslated segments to be used for expression by a host organism, or to be changed completely to accommodate various constraints [2-4].The degeneracy of the genetic code makes backtranslation potentially ambiguous since most amino acids are encoded by multiple codons. Extensive studies have been conducted on synonymous codon usage in different species and its influence in biological processes such as structure prediction [5-9].The approach to backtranslation common to all commercial and non-commercial software (BBOCUS [10], BACKTRANSEQ of th
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