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Introduzione Secondo l’Organizzazione Mondiale della Sanità l’incidenza annuale delle malattie sessualmente trasmesse (MST) è di circa 448 milioni di nuovi casi nel mondo nei soggetti di età compresa tra i 15 ed i 49 anni. A tal proposito la Scuola di Specializzazione in Igiene e Medicina Preventiva dell'Università degli Studi di Palermo ha condotto un'indagine per valutare le conoscenze degli studenti dei 6 anni del Corso di Laurea in Medicina e Chirurgia dell'Università degli Studi di Palermo in quanto, proprio per la loro specifica formazione, saranno coinvolti in prima persona nel counselling delle popolazioni a rischio di contrarre le MST. Materiali e Metodi Lo studio si è basato sulla somministrazione di un questionario anonimo svolto durante l’orario delle lezioni. La somministrazione è stata preceduta da una breve descrizione dello studio e delle sue finalità. Il questionario è costituito da 5 sezioni principali: dati demografici, abitudini sessuali, metodi contraccettivi, conoscenze sulle MST, informazione ed educazione sessuale. I dati sono stati caricati su un file Excel 5.0.Le analisi statistiche sono state condotte con il software Epi Info v3.5.1. Sono stati considerati significativi valori di p-value

No abstract, Journal of Preventive Medicine and Hygiene, Vol 52, No 3 (2011)

Simple Summary For the first time, neuronal features are described in blastic plasmacytoid dendritic cell neoplasm (BPDCN) by a complex array of molecular techniques, including microRNA and gene expression profiling, RNA and Chromatin immunoprecipitation sequencing, and immunohistochemistry. The discovery of unexpected neural features in BPDCN may change our vision of this disease, leading to the designing of a new BPDCN cell model and to re-thinking the relations occurring between BPDCN and nervous system. The observed findings contribute to explaining the extreme tumor aggressiveness and also to propose novel therapeutic targets. In view of this, the identification, in this work of new potential neural metastatic inducers might open the way to therapeutic approaches for BPDCN patients based on the use of anti-neurogenic agents. Abstract Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and highly aggressive hematologic malignancy originating from plasmacytoid dendritic cells (pDCs). The microRNA expression profile of BPDCN was compared to that of normal pDCs and the impact of miRNA dysregulation on the BPDCN transcriptional program was assessed. MiRNA and gene expression profiling data were integrated to obtain the BPDCN miRNA-regulatory network. The biological process mainly dysregulated by this network was predicted to be neurogenesis, a phenomenon raising growing interest in solid tumors. Neurogenesis was explored in BPDCN by querying different molecular sources (RNA sequencing, Chromatin immunoprecipitation-sequencing, and immunohistochemistry). It was shown that BPDCN cells upregulated neural mitogen genes possibly critical for tumor dissemination, expressed neuronal progenitor markers involved in cell migration, exchanged acetylcholine neurotransmitter, and overexpressed multiple neural receptors that may stimulate tumor proliferation, migration and cross-talk with the nervous system. Most neural genes upregulated in BPDCN are currently investigated as therapeutic targets.

Following previous work on the automated deployment of component-based applications, we present a formal model specifically tailored for reasoning on the deployment of microservice architectures. The first result that we present is a formal proof of decidability of the problem of synthesizing optimal deployment plans for microservice architectures, a problem which was proved to be undecidable for generic component-based applications. Then, given that such proof translates the deployment problem into a constraint satisfaction problem, we present the implementation of a tool that, by exploiting state-of-the-art constraint solvers, can be used to actually synthesize optimal deployment plans. We evaluate the applicability of our tool on a realistic microservice architecture taken from the literature. Following previous work on the automated deployment of component-based applications, we present a formal model specifically tailored for reasoning on the deployment of microservice architectures. The first result that we present is a formal proof of decidability of the problem of synthesizing optimal deployment plans for microservice architectures, a problem which was proved to be undecidable for generic component-based applications. Then, given that such proof translates the deployment problem into a constraint satisfaction problem, we present the implementation of a tool that, by exploiting state-of-the-art constraint solvers, can be used to actually synthesize optimal deployment plans. We evaluate the applicability of our tool on a realistic microservice architecture taken from the literature.