1,100 research outputs found

    Private Equity and Leveraged Buyouts in Italy. To Prohibit or Not to Prohibit, That is the Question

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    The purpose of the study by S. Zambelli is two-fold. First, the paper discusses the evolution of the Private Equity (PE) market in Italy, in relation to several changes in regulation (especially with reference to the financial assistance rule for a share-buyback purpose). Second, the paper empirically analyzes the economic impact of a new PE and LBO reform on financial markets and investor behavior (effective from January 2004). The empirical analysis underlying the paper is based on a novel and new database, hand-collected by the Author via a survey methodology, which consists of 162 PE transactions carried out during the 1999-2006 period. The economic impact of the new PE reform includes a comprehensive analysis of the entire private equity cycle, with a special focus on the following issues: - Impact on the private equity market; - Impact on the deal structure and forms of finance; - Impact on the adoption of convertible securities; - Impact on the governance of the target; - Impact on the evaluation process of the target firm. The Italian private equity and buyout market, whose transactions were previously prohibited and only recently legalized, offers a unique example in order to evaluate the impact of the new LBO law on investors' behavior

    ELECTRICAL CHARACTERIZATION, PHYSICS, MODELING AND RELIABILITY OF INNOVATIVE NON-VOLATILE MEMORIES

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    Enclosed in this thesis work it can be found the results of a three years long research activity performed during the XXIV-th cycle of the Ph.D. school in Engineering Science of the Università degli Studi di Ferrara. The topic of this work is concerned about the electrical characterization, physics, modeling and reliability of innovative non-volatile memories, addressing most of the proposed alternative to the floating-gate based memories which currently are facing a technology dead end. Throughout the chapters of this thesis it will be provided a detailed characterization of the envisioned replacements for the common NOR and NAND Flash technologies into the near future embedded and MPSoCs (Multi Processing System on Chip) systems. In Chapter 1 it will be introduced the non-volatile memory technology with direct reference on nowadays Flash mainstream, providing indications and comments on why the system designers should be forced to change the approach to new memory concepts. In Chapter 2 it will be presented one of the most studied post-floating gate memory technology for MPSoCs: the Phase Change Memory. The results of an extensive electrical characterization performed on these devices led to important discoveries such as the kinematics of the erase operation and potential reliability threats in memory operations. A modeling framework has been developed to support the experimental results and to validate them on projected scaled technology. In Chapter 3 an embedded memory for automotive environment will be shown: the SimpleEE p-channel memory. The characterization of this memory proven the technology robustness providing at the same time new insights on the erratic bits phenomenon largely studied on NOR and NAND counterparts. Chapter 4 will show the research studies performed on a memory device based on the Nano-MEMS concept. This particular memory generation proves to be integrated in very harsh environment such as military applications, geothermal and space avionics. A detailed study on the physical principles underlying this memory will be presented. In Chapter 5 a successor of the standard NAND Flash will be analyzed: the Charge Trapping NAND. This kind of memory shares the same principles of the traditional floating gate technology except for the storage medium which now has been substituted by a discrete nature storage (i.e. silicon nitride traps). The conclusions and the results summary for each memory technology will be provided in Chapter 6. Finally, on Appendix A it will be shown the results of a recently started research activity on the high level reliability memory management exploiting the results of the studies for Phase Change Memories

    Introduction to ELIXIR infrastructure in Italy

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    A brief introduction to the ELIXIR infrastructure in Italy. ELIXIR is a distributed infrastructure for life science data. ELIXIR is a intergovernmental organisation that brings together "bioinformatic resources" for life sciences from across Europe. Rhese resources include databases, software tools, training materials, best practices, computational resources, and more. The goal of ELIXIR is to coordinate and integrate these resources so that they form a single infrastructure. In turn, this infrastructure makes it easier for scientists to find and share data, exchange expertise and agree on best practice. ELIXIR connects national bioinformatic centres and EMBL-EBI into a sustainable European infrastructure for biological research data. ELIXIR underpins life science research across academia and industry

    Genome wide features, distribution and correlations of NF-Y binding sites

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    NF-Y is a trimeric transcription factor that binds on DNA the CCAAT-box motif. In this article we reviewed and complemented with additional bioinformatic analysis existing data on genome-wide NF-Y binding characterization in human, reaching the following main conclusions: (1) about half of NF-Y binding sites are located at promoters, about 60-80 base pairs from transcription start sites; NF-Y binding to distal genomic regions takes place at inactive chromatin loci and/or DNA repetitive elements more often than active enhancers; (2) on almost half of its binding sites, regardless of their genomic localization (promoters or distal regions), NF-Y finds on DNA more than one CCAAT-box, and most of those multiple CCAAT binding loci present precise spacing and organization of the elements composing them; (3) there exists a well defined class of transcription factors that show genome-wide co-localization with NF-Y. Some of them lack their canonical binding site in binding regions overlapping with NF-Y, hence hinting at NF-Y mediated recruitment, while others show a precise positioning on DNA of their binding sites with respect to the CCAAT box bound by NF-Y. This article is part of a Special Issue entitled: Nuclear Factor Y in Development and Disease, edited by Prof. Roberto Mantovani

    CSCAN: FINDING COMMON REGULATORS IN A SET OF GENES USING GENOME-WIDE CHIP-SEQ DATA

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    ChIP-Seq has rapidly become the method of choice for the genome-wide identification of protein-DNA interactions, especially for those proteins involved in the regulation of gene transcription like transcription factors (TFs) and histones with their post-translational modifications. As a consequence, we have now at our disposal genome-wide maps of the binding of dozens of different TFs or the chromosomal localization of histone modifications in several different cell lines, like the ones produced in the framework of the ENCODE project. But, on the other hand, accessing, retrieving and using those data for further analyses is far from being straightforward. Usually, what is made available to researchers from a ChIP-Seq experiment is a long list of genomic coordinates of those regions found to be enriched for the binding of the protein studied. Genomic browsers like the UCSC Genome Browser permit to retrieve the data and obtain further pieces of information, for example by crossing the regions of the protein studied with other data like gene annotations or other ChIPSeq –derived region lists and finding all the putative gene targets of a given TF, but more involved analyses like computing significant correlations or anti-correlations among different TFs and/or histone modifications and/or gene expression data are far from being straightforward. With these considerations in mind, we retrieved data for about 500 ChIP-Seq experiments of TFs, about 250 of histone modifications and about 100 of other molecules like PolII or CTCF in several different cell lines. We then developed a web-based application called Cscan, permitting to study their correlations with gene expression data or their respective correlations. Cscan accepts as input a list of gene identifiers, and outputs, for each of the experiments available the enrichment of the TF or histone in the promoter region of the input genes. Enrichment is computed with an exact Fisher test taking into account: a) the overall number of genes annotated in the genome b) the overall number of genes of the genome whose promoter contains a region enriched in the experiment c) the number of input genes d) the number of input genes whose promoter is enriched in the experiment. There are several different possible applications for a tool of this kind, like for example: 1. Given a set of co-expressed genes, finding their common regulators, by looking for TFs with over-represented binding regions in their promoters; 2. Given a ChIP-Seq experiment for a TF and its target genes, find which other TFs target the same set of genes, and to which extent; that is, discover correlations or anti-correlations between the TFs or between the TF and histone modifications; 3. Given a ChIP-Seq experiment for a TF (or a histone modification) in a given cell line, and the list of genes transcribed in the same cell line (often available by genome-wide maps of PolII binding) , discover whether the TF can be hypothesized to be a transcriptional activator or repressor. Cscan can be accessed through a user-friendly Web interface. A beta version is available at http://www.beaconlab.it/cscan. At the moment data available are from human experiments but we plan to add other species in the next future

    Formazione degli insegnanti e ricerca didattica universitaria

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    L’obiettivo di questo articolo e’ quello delineare una struttura universitaria che funga da punto di riferimento per la formazione degli insegnanti a tutti i livelli di istruzione e per l’organizzazione della ricerca didattica ad essa connessa, cercando, al contempo, di stimolare una riflessione su un tema che nel nostro paese e’ stato finora trascurato, quello della formazione didattica dei docenti universitari e del complessivo miglioramento della didattica. A tal fine, viene considerata inizialmente la questione della formazione degli insegnati alla luce delle attuali politiche europee guidate dalla strategia di Lisbona, distinguendo tra scuola e universita' ed esaminando alcuni tra i principali documenti elaborati da organismi europei che forniscono condivisi orientamenti su tale questione. Successivamente, poiche’ per l’istruzione superiore la produzione di documenti e’ più limitata, sono prese in considerazione alcune strutture accademiche largamente diffuse, Centre for Teaching and Learning e Subject Centre, preposte tanto alla formazione degli insegnanti quanto all’organizzazione della ricerca didattica, che esemplificano possibili implementazioni dei recenti orientamenti di politica educativa europea. Entrambe le linee di analisi forniscono molteplici suggerimenti per mettere a punto e realizzare un Centro di ateneo per l’insegnamento e l’apprendimento o un Centro per la didattica disciplinare, che, affrontando anche le problematiche ad essi connesse, si occupi della formazione dei nuovi docenti, del sostegno alla didattica e della ricerca didattica

    Prediction of over represented transcription factor binding sites in co-regulated genes using whole genome matching statistics

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    important and challenging problems in molecular biology and bioinformatics. Here we present an algorithm that, given a set of promoters from co-regulated genes, identifies over-represented binding sites by using profiles (position specific frequency matrices) defining the sequence binding specificity of known TFs as well as matching statistics on a whole-genome level, bypassing the need of defining matching thresholds and/or the use of homologous sequences. Preliminary tests performed on experimentally validated sequence sets are very promising; moreover, the same algorithm is suitable also for the use with any model of the binding specificity of TFs

    A Faster Algorithm for Motif Finding in Sequences from ChIP-Seq Data

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    Motif finding in nucleotide sequences for the discovery of over-represented transcription factor binding sites is a very challenging problem, both from the computational and the experimental points of view. Transcription factors in fact recognize very weakly conserved sequence elements, that in typical applications are very hard to discriminate against random sequence similarities. Recent advances in technology like ChIP-Seq can generate better datasets to be investigated, in which the degree of conservation of binding sites is higher: on the other hand, the size itself of the datasets has posed new challenges for the design of efficient algorithms able to produce results in reasonable time. In this work we present an updated version of our algorithm Weeder, in which time and space requirements are significantly reduced and, moreover, also the accuracy of the results is notably improved

    WeederH: an algorithm for finding conserved regulatory motifs and regions in homologous sequences

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    Abstract Background This work addresses the problem of detecting conserved transcription factor binding sites and in general regulatory regions through the analysis of sequences from homologous genes, an approach that is becoming more and more widely used given the ever increasing amount of genomic data available. Results We present an algorithm that identifies conserved transcription factor binding sites in a given sequence by comparing it to one or more homologs, adapting a framework we previously introduced for the discovery of sites in sequences from co-regulated genes. Differently from the most commonly used methods, the approach we present does not need or compute an alignment of the sequences investigated, nor resorts to descriptors of the binding specificity of known transcription factors. The main novel idea we introduce is a relative measure of conservation, assuming that true functional elements should present a higher level of conservation with respect to the rest of the sequence surrounding them. We present tests where we applied the algorithm to the identification of conserved annotated sites in homologous promoters, as well as in distal regions like enhancers. Conclusion Results of the tests show how the algorithm can provide fast and reliable predictions of conserved transcription factor binding sites regulating the transcription of a gene, with better performances than other available methods for the same task. We also show examples on how the algorithm can be successfully employed when promoter annotations of the genes investigated are missing, or when regulatory sites and regions are located far away from the genes.</p
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