Toward metrics and model validation in web-site QEM

In this work, a conceptual framework and the associated strategies for metrics and model validation are analyzed regarding website measurement and evaluation. Particularly, we have conducted three case studies in different Web domains in order to evaluate and compare the quality of sites. For such an end the quantitative, model-based methodology, so-called Web-site QEM (Quality Evaluation Methodology), was utilized. In the assessment process of sites, definition of attributes and measurements, preference criteria for elementary evaluation, and an aggregation model of attributes and characteristics for global evaluation have intervened. Hence, in the present paper, the validation framework and the theoretical validation of some used Web metrics and model for assessment purpose are discussed considering the representational theory of measurement.Área: Ingeniería de Software - Bases de DatosRed de Universidades con Carreras en Informática (RedUNCI

Toward metrics and model validation in web-site QEM

In this work, a conceptual framework and the associated strategies for metrics and model validation are analyzed regarding website measurement and evaluation. Particularly, we have conducted three case studies in different Web domains in order to evaluate and compare the quality of sites. For such an end the quantitative, model-based methodology, so-called Web-site QEM (Quality Evaluation Methodology), was utilized. In the assessment process of sites, definition of attributes and measurements, preference criteria for elementary evaluation, and an aggregation model of attributes and characteristics for global evaluation have intervened. Hence, in the present paper, the validation framework and the theoretical validation of some used Web metrics and model for assessment purpose are discussed considering the representational theory of measurement.Área: Ingeniería de Software - Bases de DatosRed de Universidades con Carreras en Informática (RedUNCI

Toward metrics and model validation in web-site QEM

In this work, a conceptual framework and the associated strategies for metrics and model validation are analyzed regarding website measurement and evaluation. Particularly, we have conducted three case studies in different Web domains in order to evaluate and compare the quality of sites. For such an end the quantitative, model-based methodology, so-called Web-site QEM (Quality Evaluation Methodology), was utilized. In the assessment process of sites, definition of attributes and measurements, preference criteria for elementary evaluation, and an aggregation model of attributes and characteristics for global evaluation have intervened. Hence, in the present paper, the validation framework and the theoretical validation of some used Web metrics and model for assessment purpose are discussed considering the representational theory of measurement.Área: Ingeniería de Software - Bases de Dato

Using web-site QEM to measure the quality of sites

In this position paper, the main steps to measure and evaluate quantitatively the quality of sites are shown. Besides, some specific models, criteria and procedures to apply in these activities are discussed by quoting case studies already performed (e.g., in the academic domain [4] as well as in museums [3] and e-commerce domain [6]). In order to get a general insight, we focus on the overview oí the proposed methodology called Web-site Quality Evaluation Method '(QEM). The proposed stepwise, expert-driven, model-based methodology is essentially quantitative, flexible, and robust covering most of the activities in the evaluation, comparison, and ranking process oí websites.Eje: Ingeniería de software y base de datosRed de Universidades con Carreras en Informática (RedUNCI

JANUS: an FPGA-based System for High Performance Scientific Computing

This paper describes JANUS, a modular massively parallel and reconfigurable FPGA-based computing system. Each JANUS module has a computational core and a host. The computational core is a 4x4 array of FPGA-based processing elements with nearest-neighbor data links. Processors are also directly connected to an I/O node attached to the JANUS host, a conventional PC. JANUS is tailored for, but not limited to, the requirements of a class of hard scientific applications characterized by regular code structure, unconventional data manipulation instructions and not too large data-base size. We discuss the architecture of this configurable machine, and focus on its use on Monte Carlo simulations of statistical mechanics. On this class of application JANUS achieves impressive performances: in some cases one JANUS processing element outperfoms high-end PCs by a factor ~ 1000. We also discuss the role of JANUS on other classes of scientific applications.Comment: 11 pages, 6 figures. Improved version, largely rewritten, submitted to Computing in Science & Engineerin

Oxidative Degradation of Trichloroethylene over Fe2O3-doped Mayenite: Chlorine Poisoning Mitigation and Improved Catalytic Performance

[EN] Mayenite was recently successfully employed as an active catalyst for trichloroethylene (TCE) oxidation. It was effective in promoting the conversion of TCE in less harmful products (CO2 and HCl) with high activity and selectivity. However, there is a potential limitation to the use of mayenite in the industrial degradation of chlorinated compounds-its limited operating lifespan owing to chlorine poisoning of the catalyst. To overcome this problem, in this work, mayenite-based catalysts loaded with iron (Fe/mayenite) were prepared and tested for TCE oxidation in a gaseous phase. The catalysts were characterized using different physico-chemical techniques, including XRD, ICP, N-2-sorption (BET), H-2-TPR analysis, SEM-EDX, XPS FESEM-EDS, and Raman. Fe/mayenite was found to be more active and stable than the pure material for TCE oxidation, maintaining the same selectivity. This result was interpreted as the synergistic effect of the metal and the oxo-anionic species present in the mayenite framework, thus promoting TCE oxidation, while avoiding catalyst deactivation.This work was supported by the grants ORSA167988 and ORSA174250 funded by the University of Salerno. AEP and JLC thank the Spanish Ministry of Economy and Competitiveness through RTI2018-101784-B-I00 and SEV-2016-0683 for the financial support. J.L. Cerrillo wishes to thank the Spanish Ministry of Economy and Competitiveness for the Severo Ochoa PhD fellowship (SVP-2014-068600).Cucciniello, R.; Intiso, A.; Siciliano, T.; Palomares Gimeno, AE.; Martínez-Triguero, J.; Cerrillo, JL.; Proto, A.... (2019). Oxidative Degradation of Trichloroethylene over Fe2O3-doped Mayenite: Chlorine Poisoning Mitigation and Improved Catalytic Performance. Catalysts. 9(9):1-13. https://doi.org/10.3390/catal9090747S11399Rossi, F., Cucciniello, R., Intiso, A., Proto, A., Motta, O., & Marchettini, N. (2015). Determination of the trichloroethylene diffusion coefficient in water. AIChE Journal, 61(10), 3511-3515. doi:10.1002/aic.14861Ko, J. H., Musson, S., & Townsend, T. (2010). Destruction of trichloroethylene during hydration of calcium oxide. Journal of Hazardous Materials, 174(1-3), 876-879. doi:10.1016/j.jhazmat.2009.09.043Ge, J., Huang, S., Han, I., & Jaffé, P. R. (2019). Degradation of tetra- and trichloroethylene under iron reducing conditions by Acidimicrobiaceae sp. A6. Environmental Pollution, 247, 248-255. doi:10.1016/j.envpol.2019.01.066Moccia, E., Intiso, A., Cicatelli, A., Proto, A., Guarino, F., Iannece, P., … Rossi, F. (2016). Use of Zea mays L. in phytoremediation of trichloroethylene. Environmental Science and Pollution Research, 24(12), 11053-11060. doi:10.1007/s11356-016-7570-8Meyer, C. I., Borgna, A., Monzón, A., & Garetto, T. F. (2011). Kinetic study of trichloroethylene combustion on exchanged zeolites catalysts. Journal of Hazardous Materials, 190(1-3), 903-908. doi:10.1016/j.jhazmat.2011.04.007Cucciniello, R., Proto, A., Rossi, F., Marchettini, N., & Motta, O. (2015). An improved method for BTEX extraction from charcoal. Analytical Methods, 7(11), 4811-4815. doi:10.1039/c5ay00828jIntiso, A., Miele, Y., Marchettini, N., Proto, A., Sánchez-Domínguez, M., & Rossi, F. (2018). Enhanced solubility of trichloroethylene (TCE) by a poly-oxyethylene alcohol as green surfactant. Environmental Technology & Innovation, 12, 72-79. doi:10.1016/j.eti.2018.08.001Garza‐Arévalo, J. I., Intiso, A., Proto, A., Rossi, F., & Sanchez‐Dominguez, M. (2019). Trichloroethylene solubilization using a series of commercial biodegradable ethoxylated fatty alcohol surfactants. Journal of Chemical Technology & Biotechnology, 94(11), 3523-3529. doi:10.1002/jctb.5965Aranzabal, A., Pereda-Ayo, B., González-Marcos, M., González-Marcos, J., López-Fonseca, R., & González-Velasco, J. (2014). State of the art in catalytic oxidation of chlorinated volatile organic compounds. Chemical Papers, 68(9). doi:10.2478/s11696-013-0505-7Li, D., Li, C., & Suzuki, K. (2013). Catalytic oxidation of VOCs over Al- and Fe-pillared montmorillonite. Applied Clay Science, 77-78, 56-60. doi:10.1016/j.clay.2013.02.027Tian, W., Fan, X., Yang, H., & Zhang, X. (2010). Preparation of MnOx/TiO2 composites and their properties for catalytic oxidation of chlorobenzene. Journal of Hazardous Materials, 177(1-3), 887-891. doi:10.1016/j.jhazmat.2009.12.116Blanch-Raga, N., Palomares, A. E., Martínez-Triguero, J., Puche, M., Fetter, G., & Bosch, P. (2014). The oxidation of trichloroethylene over different mixed oxides derived from hydrotalcites. Applied Catalysis B: Environmental, 160-161, 129-134. doi:10.1016/j.apcatb.2014.05.014Taralunga, M., Mijoin, J., & Magnoux, P. (2006). Catalytic destruction of 1,2-dichlorobenzene over zeolites. Catalysis Communications, 7(3), 115-121. doi:10.1016/j.catcom.2005.09.006Romero-Sáez, M., Divakar, D., Aranzabal, A., González-Velasco, J. R., & González-Marcos, J. A. (2016). Catalytic oxidation of trichloroethylene over Fe-ZSM-5: Influence of the preparation method on the iron species and the catalytic behavior. Applied Catalysis B: Environmental, 180, 210-218. doi:10.1016/j.apcatb.2015.06.027Blanch-Raga, N., Palomares, A. E., Martínez-Triguero, J., & Valencia, S. (2016). Cu and Co modified beta zeolite catalysts for the trichloroethylene oxidation. Applied Catalysis B: Environmental, 187, 90-97. doi:10.1016/j.apcatb.2016.01.029Cucciniello, R., Proto, A., Rossi, F., & Motta, O. (2013). Mayenite based supports for atmospheric NOx sampling. Atmospheric Environment, 79, 666-671. doi:10.1016/j.atmosenv.2013.07.065Cucciniello, R., Intiso, A., Castiglione, S., Genga, A., Proto, A., & Rossi, F. (2017). Total oxidation of trichloroethylene over mayenite (Ca12Al14O33) catalyst. Applied Catalysis B: Environmental, 204, 167-172. doi:10.1016/j.apcatb.2016.11.035Intiso, A., Martinez-Triguero, J., Cucciniello, R., Proto, A., Palomares, A. E., & Rossi, F. (2019). A Novel Synthetic Route to Prepare High Surface Area Mayenite Catalyst for TCE Oxidation. Catalysts, 9(1), 27. doi:10.3390/catal9010027Intiso, A., Martinez-Triguero, J., Cucciniello, R., Rossi, F., & Palomares, A. E. (2019). Influence of the synthesis method on the catalytic activity of mayenite for the oxidation of gas-phase trichloroethylene. Scientific Reports, 9(1). doi:10.1038/s41598-018-36708-2Proto, A., Cucciniello, R., Rossi, F., & Motta, O. (2013). Stable carbon isotope ratio in atmospheric CO2 collected by new diffusive devices. Environmental Science and Pollution Research, 21(4), 3182-3186. doi:10.1007/s11356-013-2369-3Eufinger, J.-P., Schmidt, A., Lerch, M., & Janek, J. (2015). Novel anion conductors – conductivity, thermodynamic stability and hydration of anion-substituted mayenite-type cage compounds C12A7:X (X = O, OH, Cl, F, CN, S, N). Physical Chemistry Chemical Physics, 17(10), 6844-6857. doi:10.1039/c4cp05442cSchmidt, A., Lerch, M., Eufinger, J.-P., Janek, J., Tranca, I., Islam, M. M., … Hölzel, M. (2014). Chlorine ion mobility in Cl-mayenite (Ca12Al14O32Cl2): An investigation combining high-temperature neutron powder diffraction, impedance spectroscopy and quantum-chemical calculations. Solid State Ionics, 254, 48-58. doi:10.1016/j.ssi.2013.10.042Teusner, M., De Souza, R. A., Krause, H., Ebbinghaus, S. G., Belghoul, B., & Martin, M. (2015). Oxygen Diffusion in Mayenite. The Journal of Physical Chemistry C, 119(18), 9721-9727. doi:10.1021/jp512863uRuszak, M., Inger, M., Witkowski, S., Wilk, M., Kotarba, A., & Sojka, Z. (2008). Selective N2O Removal from the Process Gas of Nitric Acid Plants Over Ceramic 12CaO · 7Al2O3 Catalyst. Catalysis Letters, 126(1-2), 72-77. doi:10.1007/s10562-008-9619-xProto, A., Cucciniello, R., Genga, A., & Capacchione, C. (2015). A study on the catalytic hydrogenation of aldehydes using mayenite as active support for palladium. Catalysis Communications, 68, 41-45. doi:10.1016/j.catcom.2015.04.028Ye, T.-N., Li, J., Kitano, M., & Hosono, H. (2017). Unique nanocages of 12CaO·7Al2O3 boost heterolytic hydrogen activation and selective hydrogenation of heteroarenes over ruthenium catalyst. Green Chemistry, 19(3), 749-756. doi:10.1039/c6gc02782bLi, C., Hirabayashi, D., & Suzuki, K. (2009). A crucial role of O2− and O22− on mayenite structure for biomass tar steam reforming over Ni/Ca12Al14O33. Applied Catalysis B: Environmental, 88(3-4), 351-360. doi:10.1016/j.apcatb.2008.11.004Li, H., Wang, S., Wang, X., Wang, Y., Tang, N., Pan, S., & Hu, J. (2017). FeCl3-modified Co–Ce oxides catalysts for mercury removal from coal-fired flue gas. Chemical Papers, 71(12), 2545-2555. doi:10.1007/s11696-017-0250-4Grosvenor, A. P., Kobe, B. A., Biesinger, M. C., & McIntyre, N. S. (2004). Investigation of multiplet splitting of Fe 2p XPS spectra and bonding in iron compounds. Surface and Interface Analysis, 36(12), 1564-1574. doi:10.1002/sia.1984Mendez, M., Ciuraru, R., Gosselin, S., Batut, S., Visez, N., & Petitprez, D. (2013). Reactivity of chlorine radical with submicron palmitic acid particles: kinetic measurements and products identification. Atmospheric Chemistry and Physics Discussions, 13(6), 16925-16960. doi:10.5194/acpd-13-16925-201

Toward metrics and model validation in web-site QEM

In this work, a conceptual framework and the associated strategies for metrics and model validation are analyzed regarding website measurement and evaluation. Particularly, we have conducted three case studies in different Web domains in order to evaluate and compare the quality of sites. For such an end the quantitative, model-based methodology, so-called Web-site QEM (Quality Evaluation Methodology), was utilized. In the assessment process of sites, definition of attributes and measurements, preference criteria for elementary evaluation, and an aggregation model of attributes and characteristics for global evaluation have intervened. Hence, in the present paper, the validation framework and the theoretical validation of some used Web metrics and model for assessment purpose are discussed considering the representational theory of measurement.Área: Ingeniería de Software - Bases de DatosRed de Universidades con Carreras en Informática (RedUNCI

Generation of recommendations in an Augmented Reality system applied to tourism based on the context

Actualmente existen aplicaciones orientadas al turismo basadas en realidad aumentada, pero no integran técnicas de recomendación. Este artículo describe RAMCAT (Realidad Aumentada Móvil Contextual Aplicada al Turismo) un modelo de guía turística, que recomienda puntos de interés, teniendo en cuenta factores como preferencias personales y atributos contextuales. Se presentan los componentes teóricos de la arquitectura propuesta, así como sus características, destacando la integración de diferentes sistemas de recomendación, que permiten añadir nuevos motores en el futuro. El artículo se centra en describir sus funcionalidades y el módulo correspondiente al sistema de recomendación basado en el perfil del turista. Otra característica importante del sistema propuesto es la retroalimentación del mismo mediante calificaciones del turista y su trazabilidad.There are many tourist applications using augmented reality, but it’s necessary have models with open architecture to integrate different recommendation techniques. This paper describes RAMCAT, an adaptive tourist guide which recommended points of interest (POIs). Factors such as personal interests and context- -related attributes are important. We present the components of the proposed architecture and its characteristics, emphasizing the integration of different recommender systems, allowing adding new recommendation engine. The article describes with detail, the recommender system based on preferences of tourists. Other characteristic of the system is the feedback through qualifications of tourists and their traceability

Maternal Low-Protein Diet Deregulates DNA Repair and DNA Replication Pathways in Female Offspring Mammary Gland Leading to Increased Chemically Induced Rat Carcinogenesis in Adulthood

Studies have shown that maternal malnutrition, especially a low-protein diet (LPD), plays a key role in the developmental mechanisms underlying mammary cancer programming in female offspring. However, the molecular pathways associated with this higher susceptibility are still poorly understood. Thus, this study investigated the adverse effects of gestational and lactational low protein intake on gene expression of key pathways involved in mammary tumor initiation after a single dose of N-methyl-N-nitrosourea (MNU) in female offspring rats. Pregnant Sprague–Dawley rats were fed a normal-protein diet (NPD) (17% protein) or LPD (6% protein) from gestational day 1 to postnatal day (PND) 21. After weaning (PND 21), female offspring (n = 5, each diet) were euthanized for histological analysis or received NPD (n = 56 each diet). At PND 28 or 35, female offspring received a single dose of MNU (25 mg/kg body weight) (n = 28 each diet/timepoint). After 24 h, some females (n = 10 each diet/timepoint) were euthanized for histological, immunohistochemical, and molecular analyses at PDN 29 or 36. The remaining animals (n = 18 each diet/timepoint) were euthanized when tumors reached ≥2 cm or at PND 250. Besides the mammary gland development delay observed in LPD 21 and 28 groups, the gene expression profile demonstrated that maternal LPD deregulated 21 genes related to DNA repair and DNA replication pathways in the mammary gland of LPD 35 group after MNU. We further confirmed an increased γ-H2AX (DNA damage biomarker) and in ER-α immunoreactivity in mammary epithelial cells in the LPD group at PND 36. Furthermore, these early postnatal events were followed by significantly higher mammary carcinogenesis susceptibility in offspring at adulthood. Thus, the results indicate that maternal LPD influenced the programming of chemically induced mammary carcinogenesis in female offspring through increase in DNA damage and deregulation of DNA repair and DNA replication pathways. Also, Cidea upregulation gene in the LPD 35 group may suggest that maternal LPD could deregulate genes possibly leading to increased risk of mammary cancer development and/or poor prognosis. These findings increase the body of evidence of early-transcriptional mammary gland changes influenced by maternal LPD, resulting in differential response to breast tumor initiation and susceptibility and may raise discussions about lifelong prevention of breast cancer risk.Fil: Zapaterini, Joyce R.. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Fonseca, Antonio R. B.. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Bidinotto, Lucas T.. Barretos Cancer Hospital; Brasil. Barretos School of Health Sciences; BrasilFil: Colombelli, Ketlin T.. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Rossi, André L. D.. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Kass, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Salud y Ambiente del Litoral. Universidad Nacional del Litoral. Instituto de Salud y Ambiente del Litoral; ArgentinaFil: Justulin, Luis A.. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Barbisan, Luis F.. Universidade Estadual Paulista Julio de Mesquita Filho; Brasi

Using web-site QEM to measure the quality of sites

In this position paper, the main steps to measure and evaluate quantitatively the quality of sites are shown. Besides, some specific models, criteria and procedures to apply in these activities are discussed by quoting case studies already performed (e.g., in the academic domain [4] as well as in museums [3] and e-commerce domain [6]). In order to get a general insight, we focus on the overview oí the proposed methodology called Web-site Quality Evaluation Method '(QEM). The proposed stepwise, expert-driven, model-based methodology is essentially quantitative, flexible, and robust covering most of the activities in the evaluation, comparison, and ranking process oí websites.Eje: Ingeniería de software y base de datosRed de Universidades con Carreras en Informática (RedUNCI