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Search Results: 1 - 10 of 188 matches for " Decio Capobianco "
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Comparative Oral Absorption of Different Citicoline and Homotaurine Formulations: A Single-Dose, Two-Period Crossover Trial in the Dog  [PDF]
Andrea Marchegiani, Ferdinando Nicoletti, Maria Rosaria Romano, Decio Capobianco, Ciro Costagliola, Carlotta Marini, Giuseppe Lubrano Lavadera, Roberto Ciccocioppo, Andrea Spaterna
Journal of Biomedical Science and Engineering (JBiSE) , 2019, DOI: 10.4236/jbise.2019.127028
Abstract: Background: Citicoline and homotaurine are compounds with a potent neuroprotective activity and they have been administered for many years in the treatment of numerous neurodegenerative and ophthalmological diseases, including glaucoma. Initially available only as liquid form, through parenteral route, nowadays citicoline can be administered also as tablet but no data on bioavailability of these different forms are available. In the present study, pharmacokinetics of citicoline in tablet versus vials, each at the therapeutic dose of 500 mg, in addition to 50 mg of homotaurine was investigated. Materials and methods: Ten mixed breed dogs received a single dose of 50 mg oral homotaurine and 500 mg citicoline in tablet and vials with the same dose were administered after a seven days wash-out period. Parameters assessed for citicoline metabolites (cytidine, uridine and choline) were AUC0t, Cmax and Tmax. Results: Citicoline bioavailability appeared to be slightly higher for the tablet compared to the vial formulation. Cytidine is equivalent in absorption dynamics both for tablet and liquid form; uridine for tablet reaches its maximum and is reabsorbed more quickly while choline for the liquid form reaches the maximum first and is reabsorbed more quickly. Conclusions: Citicoline in tablet and liquid formulation have pharmacokinetic properties leading to a very similar bioavailability.
Multidimensional cellular automata and generalization of Fekete's lemma
Silvio Capobianco
Discrete Mathematics & Theoretical Computer Science , 2008,
Abstract: Fekete's lemma is a well known combinatorial result on number sequences: we extend it to functions defined on $d$-tuples of integers. As an application of the new variant, we show that nonsurjective $d$-dimensional cellular automata are characterized by loss of arbitrarily much information on finite supports, at a growth rate greater than that of the support's boundary determined by the automaton's neighbourhood index.
Robust Control Methods for On-Line Statistical Learning
Enrico Capobianco
EURASIP Journal on Advances in Signal Processing , 2001, DOI: 10.1155/s1687617201000178
Abstract: The issue of controlling that data processing in an experiment results not affected by the presence of outliers is relevant for statistical control and learning studies. Learning schemes should thus be tested for their capacity of handling outliers in the observed training set so to achieve reliable estimates with respect to the crucial bias and variance aspects. We describe possible ways of endowing neural networks with statistically robust properties by defining feasible error criteria. It is convenient to cast neural nets in state space representations and apply both Kalman filter and stochastic approximation procedures in order to suggest statistically robustified solutions for on-line learning.
Multiscale fragPIN Modularity
Enrico Capobianco
ISRN Genomics , 2013, DOI: 10.1155/2013/307608
Abstract: Modularity in protein interactome networks (PINs) is a central theme involving aspects such as the study of the resolution limit, the comparative assessment of module-finding algorithms, and the role of data integration in systems biology. It is less common to study the relationships between the topological hierarchies embedded within the same network. This occurrence is not unusual, in particular with PINs that are considered assemblies of various interactions depending on specialized biological processes. The integrated view offered so far by modularity maps represents in general a synthesis of a variety of possible interaction maps, each reflecting a certain biological level of specialization. The driving hypothesis of this work leverages on such network components. Therefore, subnetworks are generated from fragmentation, a process aimed to isolating parts of a common network source that are here called fragments, from which the acronym fragPIN is used. The characteristics of modularity in each obtained fragPIN are elucidated and compared. Finally, as it was hypothesized that different timescales may underlie the biological processes from which the fragments are computed, the analysis was centered on an example involving the fluctuation dynamics inherent to the signaling process and was aimed to show how timescales can be identified from such dynamics, in particular assigning the interactions based on selected topological properties. 1. Introduction PIN [1] are almost pervasively studied in genomics, but especially when H. Sapiens is considered they present limitations due to sparse coverage and suboptimal accuracy of both experimental (yeast two-hybrid, for instance) and in silico measurements (literature mining, orthology, etc.) [2, 3]. This overall uncertainty is reflected in a pathological presence of false positives and negatives and ultimately complicates data mining and analysis tasks. In order to bypass the complexities induced by such factors, data integration strategies are widely pursued (for instance, studies in [4, 5] have become quite popular). However, a difficulty comes from the fact that the integrated entities are usually heterogeneous, and thus normalization and rescaling need to be considered. An excellent example of the complexity underlying a sequence of integrative omics tasks is offered by the personal omics profiling work recently published by Chen et al. [6], soon considered a reference for personalized medicine research. The working hypothesis of this short paper is to adopt an opposite investigation strategy compared to
Constrained Network Modularity
Enrico Capobianco
ISRN Biomathematics , 2012, DOI: 10.5402/2012/192031
Abstract: Static representations of protein interactions networks or PIN reflect measurements referred to a variety of conditions, including time. To partially bypass such limitation, gene expression information is usually integrated in the network to measure its “activity level.” In general, the entire PIN modular organization (complexes, pathways) can reveal changes of configuration whose functional significance depends on biological annotation. However, since network dynamics are based on the presence of different conditions leading to comparisons between normal and disease states, or between networks observed sequentially in time, our working hypothesis refers to the analysis of differential networks based on varying modularity and uncertainty. Two popular methods were applied and evaluated, k-core and Q-modularity, over a reference yeast dataset comprising a PIN of literature-curated data obtained from the fusion of heterogeneous measurements sources. While the functional aspect of interest is cell cycle and the corresponding interactions were isolated, the PIN dynamics were externally induced by time-course measured gene expression values, which we consider one of the “modularity drivers.” Notably, due to the nature of such expression values referred to the “just-in-time method,” we could specialize our approach according to three constrained modular configurations then comparatively assessed through local entropy measures. 1. Introduction Despite the fact that research on PIN [1] is quite mature at both methodological (systems biology) and applied (biomedical and clinical bioinformatics) levels, there are still some domains that remain partially unexplored, in particular from an integrative dynamic standpoint. The first attribute, that is, integrative, includes the consideration of complementary omic layers that provide information on causality, for instance (through gene coexpression, transcription factors, microRNAs, etc.). The second attribute, that is, dynamic, aims at investigating differential properties of networks, and it is based on the assessment of the effects of different conditions at which network properties are measured. The field of “differential network biology” has been already explored from a variety of differential conditions, such as expression during drug and stress response [2] or condition-responsive subnetwork identification [3]. Recently, Ideker and Krogan [4] reviewed the field, suggesting new interesting directions. Currently, some of the main limitations that are encountered can be summarized as follows.(i)The available
Ten Challenges for Systems Medicine
Enrico Capobianco
Frontiers in Genetics , 2012, DOI: 10.3389/fgene.2012.00193
Abstract:
Multidimensional cellular automata and generalization of Fekete's lemma
Silvio Capobianco
Mathematics , 2007,
Abstract: Fekete's lemma is a well known combinatorial result on number sequences: we extend it to functions defined on $d$-tuples of integers. As an application of the new variant, we show that nonsurjective $d$-dimensional cellular automata are characterized by loss of arbitrarily much information on finite supports, at a growth rate greater than that of the support's boundary determined by the automaton's neighbourhood index.
Surjunctivity for cellular automata in Besicovitch spaces
Silvio Capobianco
Mathematics , 2007,
Abstract: The Besicovitch pseudodistance measures the relative size of the set of points where two functions take different values; the quotient space modulo the induced equivalence relation is endowed with a natural metric. We study the behavior of cellular automata in the new topology and show that, under suitable additional hypotheses, they retain certain properties possessed in the usual product topology; in particular, that injectivity still implies surjectivity.
On the Induction Operation for Shift Subspaces and Cellular Automata as Presentations of Dynamical Systems
Silvio Capobianco
Mathematics , 2007,
Abstract: We consider continuous, translation-commuting transformations of compact, translation-invariant families of mappingsfrom finitely generated groups into finite alphabets. It is well-known that such transformations and spaces can be described "locally" via families of patterns and finitary functions; such descriptions can be re-used on groups larger than the original, usually defining non-isomorphic structures. We show how some of the properties of the "induced" entities can be deduced from those of the original ones, and vice versa; then, we show how to "simulate" the smaller structure into the larger one, and obtain a characterization in terms of group actions for the dynamical systems admitting of presentations via structures as such. Special attention is given to the class of sofic shifts.
Entry costs and quality of business environment: a critical analysis
Zylbersztajn, Decio;
RAM. Revista de Administra??o Mackenzie , 2010, DOI: 10.1590/S1678-69712010000500008
Abstract: transaction costs are the costs to protect property rights. institutions are shaped in order to control transaction costs in society. studies have been developed to measure transaction costs both at the macro and microeconomic levels. entry costs, i.e., the cost to start up a new business are considered a proxy for business environment quality, being also interpreted as a proxy to transaction cost measurement. this paper presents new elements in order to amplify the potential of research in business environment, particularly business entry costs. it stresses the limitation related to two theoretical points: first, the near decomposability of one complex transaction, and second, the complementarity between ex-ante and ex-post transaction costs, both related to the methodology adopted to measure business entrance costs.
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