The Usefulness of Sharing Social Impact Data. Early Findings from an International Benchmarking on SROI Assessments

This paper aims at investigating a perspective for the social impact measurability by collecting and analysing open data at the international level. Our goal is to shed light on the unlocked potential of the knowledge produced by a global community of scholars and practitioners engaged in social impact measurement processes. Global open data on social impact assessment (SIA) have been mapped and collected in a database using the impact chain as a reference point for choosing the variables. In this paper, we focus on the potential use of these data to enable forecasting analysis about the expected social value and to inform decision-making processes aimed at responding to complex social challenges. The early findings suggest the opportunity of a wider action research initiative, by engaging different typologies of stakeholders and organizations aimed at incorporating social impact as a key strategic driver

eHealth literacy scale: a nursing analysis and Italian validation

Background: One of the scales most used to measure quickly and easily eHealth Literacy is the eHealth LiteracyScale (eHEALS); however, there was no validation of this scale in Italian. Therefore, the aim of this study was to adapt and validate the eHealth Literacy Scale (eHEALS) to the italian context. Methods: Italian translation of eHEALS was administered along unit to another two scale for measure lifestyle habits self-esteem and life satisfaction). A sample of 650 university students aged between 18 and 45 years was selected. An exploratory factor analysis, confirmatory factor analysis, analysis of invariance, reliability, stability and bivariate correlations were performed. Results: Exploratory factor analysis revealed a monofactorial structure that explained 67% of variance. Reliability of 0.87 and test-retest correlation of 0.78 was obtained. The questionnaire was invariant by gender. Regarding the criterion validity, a statistically significant and positive correlations between 0.05 and 0.15 with three indicators was obtained (self-esteem, lifestyle habits and life satisfaction). The italian version of the eHEALS tested in this work has shown to be a valid and reliable scale to measure eHealth competence in university students

Raccogliere e valorizzare i dati sull’impatto. Quale contributo alla conoscenza?

Il crescente interesse verso i temi della sostenibilità e dell’innovazione sociale apre nuove opportunità per declinare il grande potenziale dell’innovazione tecnologica a favore di obiettivi di impatto sociale ed ambien- tale. Allo stesso modo, tuttavia, la comunità scientifica che si occupa di questi temi si trova di fronte a nuove prove per rendere misurabili i risultati raggiunti: se da un lato tale sfida è ben avviata rispetto alla dimensione ambientale, grazie alla diffusione di standard ampiamente condivisi, dall’altro non si è raggiunto lo stesso livello di consapevolezza rispetto alla misurazione delle ricadute sociali. Questa ricerca intende verificare la possibilità di superare il limite di misurabilità dell’impatto sociale integran- do innovazione sociale e innovazione digitale. Più nello specifico, raccogliendo i dati di misurazione di impatto sociale dalle fonti accreditate, si intende applicare metodi di big data analysis e business intelligence per costruire un set di informazioni utili per informare i processi di misurazione di impatto sociale e pervenire ad un data warehouse contenente benchmark su tutta la catena della teoria del cambiamento (input / attività / output/ outcome / social value / impact). I risultati mostrano un grande potenziale di informazioni generabili dalle tecnologie digitali per rendere più misurabili, affidabili e scalabili i processi di innovazione sociale

Many-core applications to online track reconstruction in HEP experiments

Interest in parallel architectures applied to real time selections is growing in High Energy Physics (HEP) experiments. In this paper we describe performance measurements of Graphic Processing Units (GPUs) and Intel Many Integrated Core architecture (MIC) when applied to a typical HEP online task: the selection of events based on the trajectories of charged particles. We use as benchmark a scaled-up version of the algorithm used at CDF experiment at Tevatron for online track reconstruction - the SVT algorithm - as a realistic test-case for low-latency trigger systems using new computing architectures for LHC experiment. We examine the complexity/performance trade-off in porting existing serial algorithms to many-core devices. Measurements of both data processing and data transfer latency are shown, considering different I/O strategies to/from the parallel devices.Comment: Proceedings for the 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP); missing acks adde

Interactions of human galectins with Trypanosoma cruzi: binding profile correlate with genetic clustering of lineages

This is a pre-copyedited, author-produced PDF of an article accepted for publication in Glycobiology following peer review. The version of record Pineda, M.A. et al. Interactions of human galectins with Trypanosoma cruzi: binding profile correlate with genetic clustering of lineages. Glycobiology 25.2 (2015): 197-210 is available online at: http://dx.doi.org/10.1093/glycob/cwu103We report here the specific interaction between several members of the human galectin family with the three developmental stages of several genetic lineages of the protozoan parasite Trypanosoma cruzi. We provide data of specific and differential binding of human galectins-1, 3, 4, 7 and 8 to 14 strains of T. cruzi that belong to the six genetic lineages representing the genetic diversity of the parasite. It is shown that galectins preferentially bind forms present in the host, trypomastigotes and amastigotes, compared to the non-infective epimastigote present on the intestinal tract of the vector, reflecting the changes on glycosylation that occur during the metacyclogenesis and amastigogenesis process. Also, it is evidenced that galectin binding to the parasites promotes binding to the host cells and higher infection rates. In addition evidence is provided indicating that the intracellular amastigotes may take over the cytosolic pool of some galectins when released to the extracellular medium. Finaly, by applying unweighted pair group method analysis to the galectin binding profile to either cell-derived trypomastigotes or amastigotes we show that the differential binding profile by the host galectins to the six lineages resembles the clustering based in genetic data. Therefore, the differential binding profile for the six lineages could have implications in the immunopathology of Chagas’ disease, affecting the complex network of immune responses on which galectins mediate, thus providing linkage clues to the notion that different lineages may be related to different clnical forms of the disease.This work was supported by grants from the Fondo de Investigaciones Sanitarias-Ministerio de Sanidad (FIS-PI11/00033) to PB and (FIS-PI11/0095) to MS, and grant ChagasEpiNet (European VII framework Program) to MF. The financial support Network RICET from the FIS, Ministerio de Sanidad and Fundacion Ramon Areces is acknowledge

Dissecting the Active Site of the Collagenolytic Cathepsin L3 Protease of the Invasive Stage of Fasciola hepatica

Background: A family of secreted cathepsin L proteases with differential activities is essential for host colonization and survival in the parasitic flatworm Fasciola hepatica. While the blood feeding adult secretes predominantly FheCL1, an enzyme with a strong preference for Leu at the S2 pocket of the active site, the infective stage produces FheCL3, a unique enzyme with collagenolytic activity that favours Pro at P2. Methodology/Principal Findings: Using a novel unbiased multiplex substrate profiling and mass spectrometry methodology (MSP-MS), we compared the preferences of FheCL1 and FheCL3 along the complete active site cleft and confirm that while the S2 imposes the greatest influence on substrate selectivity, preferences can be indicated on other active site subsites. Notably, we discovered that the activity of FheCL1 and FheCL3 enzymes is very different, sharing only 50% of the cleavage sites, supporting the idea of functional specialization. We generated variants of FheCL1 and FheCL3 with S2 and S3 residues by mutagenesis and evaluated their substrate specificity using positional scanning synthetic combinatorial libraries (PS-SCL). Besides the rare P2 Pro preference, FheCL3 showed a distinctive specificity at the S3 pocket, accommodating preferentially the small Gly residue. Both P2 Pro and P3 Gly preferences were strongly reduced when Trp67 of FheCL3 was replaced by Leu, rendering the enzyme incapable of digesting collagen. In contrast, the inverse Leu67Trp substitution in FheCL1 only slightly reduced its Leu preference and improved Pro acceptance in P2, but greatly increased accommodation of Gly at S3. Conclusions/Significance: These data reveal the significance of S2 and S3 interactions in substrate binding emphasizing the role for residue 67 in modulating both sites, providing a plausible explanation for the FheCL3 collagenolytic activity essential to host invasion. The unique specificity of FheCL3 could be exploited in the design of specific inhibitors selectively directed to specific infective stage parasite proteinases. © 2013 Corvo et al

Distributed Computing Grid Experiences in CMS

The CMS experiment is currently developing a computing system capable of serving, processing and archiving the large number of events that will be generated when the CMS detector starts taking data. During 2004 CMS undertook a large scale data challenge to demonstrate the ability of the CMS computing system to cope with a sustained data-taking rate equivalent to 25% of startup rate. Its goals were: to run CMS event reconstruction at CERN for a sustained period at 25 Hz input rate; to distribute the data to several regional centers; and enable data access at those centers for analysis. Grid middleware was utilized to help complete all aspects of the challenge. To continue to provide scalable access from anywhere in the world to the data, CMS is developing a layer of software that uses Grid tools to gain access to data and resources, and that aims to provide physicists with a user friendly interface for submitting their analysis jobs. This paper describes the data challenge experience with Grid infrastructure and the current development of the CMS analysis system

Loco-regional adjuvant radiation therapy in breast cancer patients with positive axillary lymph-nodes at diagnosis (CN2) undergoing preoperative chemotherapy and with complete pathological lymph-nodes response. Development of GRADE (Grades of recommendation, assessment, Development and Evaluation) recommendation by the Italian Association of radiation therapy and Clinical Oncology (AIRO)

Objective: To perform a meta-analysis to determine the effect of loco-regional radiation therapy (RT) compared to no loco-regional RT for operated patients in clinical stage cN2 breast cancer at diagnosis and ypN0 after preoperative chemotherapy (PST). Material and Methods: Eligible studies were identified through a systematic search of the medical literature performed independently by two researchers using a validated search strategy. An electronic search of Medline via PubMed and Embase (Breast cancer AND preoperative chemotherapy AND radiation therapy) was conducted with no language or publication status restrictions. The effect of loco-regional RT on overall (OS), disease free (DFS), loco-regional recurrence-free (LRRFS) survival and local recurrence was evaluated. An electronic search of Medline via PubMed and Embase (Toxicity AND radiation therapy breast cancer AND preoperative therapy; toxicity AND breast surgery AND preoperative chemotherapy) was conducted for outcomes of harm: major acute and late skin toxicity, lymphedema and cardiac events. Results: Of 333 studies identified, 4 retrospective studies reporting on a total of 1107 patients were included in the meta-analysis. Six and 3 reported data of acute and late skin toxicity, while 2 studies provided information on cardiac events. Pooled results showed no difference in terms of hazard ratio for loco-regional RT versus no loco-regional RT [hazard ratio (HR) = 0.82, 95% confidence interval (CI) 0.63\u20131.68]. Loco-regional RT was associated with an OS benefit in the subgroup analysis: IIIB-C (loco-regional RT 79.3% vs no loco-regional RT 71.2%, p = 0.027) and T3-T4 (loco-regional RT 82.6% vs no loco-regional RT 76.6%, p = 0.025). No difference was shown in terms of 5-year DFS (loco-regional RT 91.2% vs no loco-regional RT 83%, p = 0.441) and LRRFS (loco-regional RT 98.1% vs no loco-regional RT 92.3%, p = 0.148). There was no significant difference between the groups in terms of acute and late skin toxicities, lymphedema and cardiac events. Conclusions: Because of the limitations due to the small number of studies and heterogeneity in the analysis, the present study does not allow to draw any definitive conclusion, highlighting the need for well-controlled trials to determine the effect of loco-regional RT in patients with cN2 having a pathological complete response in the axillary nodes after preoperative chemotherapy