Measurements of T-odd observables

The study of T-odd observables using four-body hadronic final states of charm meson decays provides complementary insight to measuring CP asymmetries via decay rate asymmetries. New results based on the full LHCb dataset are presented.Comment: To be published in the proceedings of CHARM-2015, Detroit, MI, 18-22 May 201

Estimating rBDπr_{B}^{D\pi} as an input to the determination of the CKM angle γ\gamma

The interference between Cabibbo-favoured and Cabibbo-suppressed $B\to D\pi$ decay amplitudes provides sensitivity to the CKM angle $\gamma$. The relative size of the interfering amplitudes is an important ingredient in the determination of $\gamma$. Using branching fractions from various $B\to Dh$ decays, and the measured value for $r_{B}^{DK}$, the magnitude of the amplitude ratio of $B^+\to D^0\pi^+$ and $B^+\to \bar{D}^0\pi^+$ decays is estimated to be $r_{B}^{D\pi} = 0.0053 \pm 0.0007$.Comment: 4 pages, 4 figure

CPCP-violating triple-product asymmetries in Charm decays

The use of triple-product correlations is described in relation to the search for $CP$ violation in 4-body charm meson decays. The latest results from the LHCb and BaBar Collaborations are reported. A novel interpretation of the asymmetries from triple-product correlations is used for the BaBar results, which enables the extraction of information on the properties of $D$ decays under parity and charge-conjugation transformations.Comment: Proceedings of the 8th International Workshop on the CKM Unitarity Triangle (CKM 2014), Vienna, Austria, September 8-12, 201

Measuring and modelling Internet diffusion using second level domains: the case of Italy

The last 10 years witnessed an exponential growth of the Internet. According to Hobbes' Internet Timeline, the Internet hosts are about 93 million, while in 1989 they were 100,000. The same happens for second level domain names. In July 1989 the registered domains were about 3,900 while they were over 2 million in July 2000. This paper reports about the construction of a database containing daily observations on registrations of second level domain names underneath the it ccTLD in order to analyse the diffusion of Internet among families and businesses. The section of the database referring to domains registered by individuals is analysed. The penetration rate over the relevant population of potential adopters is computed at highly disaggregated geographical level (province). A concentration analysis is carried out to investigate whether the geographical distribution of Internet is less concentrated than population and income suggesting a diffusive effect. Regression analysis is carried out using demographic, social, economic and infrastructure indicators. Finally we briefly describe the further developments of our research. At the present we are constructing a database containing domains registered by firms together with data about the registrants; the idea is to use this new database and the previous one in order to check for the existence of power laws both in the number of domains registered in each province and in the number of domains registered by each firm.Domain names, Internet metrics, Diffusion, Power laws, Zipf s law

Studio della diffusione di Internet attraverso l\u27uso dei nomi a dominio sotto il ccTLD ".it", nelle aree del territorio regionale toscano che non sono raggiunte dal servizio di connettivit? a banda larga.

In italian onlyIl presente studio ha l\u27obiettivo di verificare l\u27uso di Internet al 31-12-2007 nelle aree (comuni) oggetto d\u27intervento da parte della regione Toscana nella fornitura dei servizi di banda larga. Tali aree non sono oggi raggiunte dal servizio di connettivit? a causa del fallimento del mercato. L\u27obiettivo ? quindi di verificare lo stato dell\u27uso di Internet nei comuni toscani in modo da riuscire a valutare se, in futuro, le politiche adottate dalla Regione potranno avere un impatto positivo nella diffusione della rete in tali aree. Per determinare lo stato attuale della diffusione di Internet nelle aree oggetto di intervento si ? utilizzato come indicatore il numero dei domini registrati sotto il ccTLD (country code Top Level Domain) ".it", gestito dall\u27Istituto di Informatica e Telematica del CNR

Studio sulla diffusione di Internet nella regione Toscana

Available in ItalianPer analizzare la diffusione di Internet a livello toscano abbiamo utilizzato l\u27indicatore endogeno dei nomi di dominio contenuti nei database del Registro del ccTLD (acronimo di country code Top Level Domain) .it, gestito dallo IIT-CNR. L\u27analisi mostra la presenza del Digital Divide sia a livello regionale che provinciale

Measuring and modelling Internet diffusion

The last 10 years witnessed an exponential growth of the Internet. According to Hobbes\u27 Internet Timeline, the Internet hosts are about 93 million, while in 1989 they were 100,000. The same happens for second level domain names. In July 1989 the registered domains were about 3,900 while they were over 2 million in July 2000. This paper reports about the construction of a database containing daily observations on registrations of second level domain names underneath the it ccTLD in order to analyse the diffusion of Internet among families and businesses. The section of the database referring to domains registered by individuals is analysed. The penetration rate over the relevant population of potential adopters is computed at highly disaggregated geographical level (province). A concentration analysis is carried out to investigate whether the geographical distribution of Internet is less concentrated than population and income suggesting a diffusive effect. Regression analysis is carried out using demographic, social, economic and infrastructure indicators. Finally we briefly describe the further developments of our research. At the present we are constructing a database containing domains registered by firms together with data about the registrants; the idea is to use this new database and the previous one in order to check for the existence of power laws both in the number of domains registered in each province and in the number of domains registered by each firm