Saving with a social impact: Evidence from trento province

In this paper, we investigate the determinants of investing, focusing on its potential social impact. In particular, we consider whether there is room for expanding impact investing through social savings. The increasing trend in the demand for social finance makes the topic of unique interest, particularly when data on preferences for social saving can be collected at the individual level. We investigate the determinants and drivers of saving with a social goal running a survey conducted in Trentino-Alto Adige in which respondents are asked to allocate their portfolio to possible social investments. In line with the evidence collected in the Netherlands by Riedl and Smeets (2014), our results show a strong preference for a lower return, with the condition that the return is invested in a community programme, and little interest in the monetary return of the investment. Respondents are either inclined to put their entire portfolio into saving for the community or not to invest at all. This result suggests that there is a consistent demand, only partially accommodated by the supply, for financial products investing in the community, rather than for a monetary return

Removal of Zinc by adsorption on macroalgae as adsorbent from aqueous solution

Discharge of industrial and domestic effluents in environment is responsible forthe presence of toxic metals in water, soil and biota. Biosorption, with deadbiomass, is a process that allows the passive capture of metal ions by differentmechanisms. The objective was to evaluate the use of dry macroalgae in zincremoval from aqueous solution. The effect of alga species, pH, initial adsorbateand adsorbent concentration were evaluated. Results showed that Zn removalefficiency was higher when Halymenia sp. (red alga) was used instead Ulvalactuca (green alga). This could be related to the different cell wall compositionfor each algae class. The increase of the adsorbent mass improved the efficiency,and more acidic pHs decreased it. We concluded that algae are an interestingbiomass for the removal of zinc.Fil: Camurati, Julieta R.. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; ArgentinaFil: Hocsman, Julieta. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; ArgentinaFil: Salomone, Vanesa Natalia. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; Argentin

Insights on a methanation catalyst aging process: Aging characterization and kinetic study

Power to gas systems is one of the most interesting long-term energy storage solutions. As a result of the high exothermicity of the CO2 methanation reaction, the catalyst in the methanation subsystem is subjected to thermal stress. Therefore, the performance of a commercial Ni/Al2O3 catalyst was investigated over a series of 100 hour-long tests and in-process relevant conditions, i.e. 5 bar from 270 to 500 °C. Different characterization techniques were employed to determine the mechanism of the observed performance loss (N2 physisorption, XRD, TPO). The TPO analysis excluded carbon deposition as a possible cause of catalyst aging. The BET analysis evidenced a severe reduction in the total surface area for the catalyst samples tested at higher temperatures. Furthermore, a direct correlation was found between the catalyst activity decline and the drop of the catalyst specific surface. In order to correctly design a reliable methanation reactor, it is essential to have a kinetic model that includes also the aging kinetics. For this purpose, the second set of experiments was carried out, in order to determine the intrinsic kinetics of the catalyst. The kinetic parameters were identified by using nonlinear regression analysis. Finally, a power-law aging model was proposed to consider the performance loss in time

Nested Dynamics of Metropolitan Processes and Policies: Turin

BACKGROUND PAPERS FOR THE METROPOLITAN STUDY: 3 -- The project "Nested Dynamics of Metropolitan Processes and Policies" was initiated by the Regional and urban Development Group at IIASA in 1983 and work on this collaborative study started the same year. This Series of contributions represents "entry tickets" to the Project, i.e., initial statements by authors from individual metropolitan regions that are participating in the Project's network. The aim of these papers is threefold. First, to provide some background information describing the processes of change within four principal subsystems: population, housing, economy, and transportation. Second, to identify major trends and crucial policy issues which are to constitute a focus for the subsequent analytical and modeling work. Third, to facilitate comparative studies of development paths among these regions and the dynamic interdependencies between the above subsystems. The background information contained in this paper pertains to the Turin metropolitan region

Untargeted metabolomic profile for the detection of prostate carcinoma-preliminary results from PARAFAC2 and PLS-DA Models

Prostate-specific antigen (PSA) is the main biomarker for the screening of prostate cancer (PCa), which has a high sensibility (higher than 80%) that is negatively offset by its poor specificity (only 30%, with the European cut-off of 4 ng/mL). This generates a large number of useless biopsies, involving both risks for the patients and costs for the national healthcare systems. Consequently, efforts were recently made to discover new biomarkers useful for PCa screening, including our proposal of interpreting a multi-parametric urinary steroidal profile with multivariate statistics. This approach has been expanded to investigate new alleged biomarkers by the application of untargeted urinary metabolomics. Urine samples from 91 patients (43 affected by PCa; 48 by benign hyperplasia) were deconjugated, extracted in both basic and acidic conditions, derivatized with different reagents, and analyzed with different gas chromatographic columns. Three-dimensional data were obtained from full-scan electron impact mass spectra. The PARADISe software, coupled with NIST libraries, was employed for the computation of PARAFAC2 models, the extraction of the significative components (alleged biomarkers), and the generation of a semiquantitative dataset. After variables selection, a partial least squares–discriminant analysis classification model was built, yielding promising performances. The selected biomarkers need further validation, possibly involving, yet again, a targeted approach

Manuale per l'uso del modello RAMOS -1

Working Paper; n. 39- Indice #7- Caratteristiche del modello #11- Caratteristiche del programma #22- Testo del programma FORTRAN #31- Esempi di files di input #47- Esempi di files di output #6