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Institution

University of Palermo

EducationPalermo, Italy
About: University of Palermo is a education organization based out in Palermo, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 15621 authors who have published 40250 publications receiving 964384 citations. The organization is also known as: Università degli Studi di Palermo & Universita degli Studi di Palermo.


Papers
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Journal ArticleDOI
TL;DR: A hierarchical arrangement of stocks traded in a financial market is found by investigating the daily time series of the logarithm of stock price and the hierarchical tree of the subdominant ultrametric space associated with the graph provides a meaningful economic taxonomy.
Abstract: I find a hierarchical arrangement of stocks traded in a financial market by investigating the daily time series of the logarithm of stock price. The topological space is a subdominant ultrametric space associated with a graph connecting the stocks of the portfolio analyzed. The graph is obtained starting from the matrix of correlation coefficient computed between all pairs of stocks of the portfolio by considering the synchronous time evolution of the difference of the logarithm of daily stock price. The hierarchical tree of the subdominant ultrametric space associated with the graph provides a meaningful economic taxonomy.

1,808 citations

Journal ArticleDOI
TL;DR: It is proposed that stemness of colon cancer cells is in part orchestrated by the microenvironment and is a much more dynamic quality than previously expected that can be defined by high Wnt activity.
Abstract: Despite the presence of mutations in APC or beta-catenin, which are believed to activate the Wnt signalling cascade constitutively, most colorectal cancers show cellular heterogeneity when beta-catenin localization is analysed, indicating a more complex regulation of Wnt signalling. We explored this heterogeneity with a Wnt reporter construct and observed that high Wnt activity functionally designates the colon cancer stem cell (CSC) population. In adenocarcinomas, high activity of the Wnt pathway is observed preferentially in tumour cells located close to stromal myofibroblasts, indicating that Wnt activity and cancer stemness may be regulated by extrinsic cues. In agreement with this notion, myofibroblast-secreted factors, specifically hepatocyte growth factor, activate beta-catenin-dependent transcription and subsequently CSC clonogenicity. More significantly, myofibroblast-secreted factors also restore the CSC phenotype in more differentiated tumour cells both in vitro and in vivo. We therefore propose that stemness of colon cancer cells is in part orchestrated by the microenvironment and is a much more dynamic quality than previously expected that can be defined by high Wnt activity.

1,674 citations

Journal ArticleDOI
TL;DR: This paper deals with fitting piecewise terms in regression models where one or more break-points are true parameters of the model and a simple linearization technique is called for, taking advantage of the linear formulation of the problem.
Abstract: This paper deals with fitting piecewise terms in regression models where one or more break-points are true parameters of the model For estimation, a simple linearization technique is called for, taking advantage of the linear formulation of the problem As a result, the method is suitable for any regression model with linear predictor and so current software can be used; threshold modelling as function of explanatory variables is also allowed Differences between the other procedures available are shown and relative merits discussed Simulations and two examples are presented to illustrate the method

1,607 citations


Authors

Showing all 15895 results

NameH-indexPapersCitations
Robin M. Murray1711539116362
Frede Blaabjerg1472161112017
Jean Bousquet145128896769
Zhanhu Guo12888653378
Jean Ballet11526346301
Antonio Facchetti11160251885
Michele Pagano9730642211
Frank Z. Stanczyk9362030244
Eleonora Troja9127130873
Francesco Sciortino9053628956
Zev Rosenwaks8977232039
Antonio Russo8893434563
Carlo Salvarani8873031699
Giuseppe Basso8764333320
Antonio Craxì8665939463
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023147
2022384
20212,977
20202,753
20192,412
20182,250