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53. Effectiveness of First-Line Bevacizumab in Metastatic Colorectal Cancer: The Observational Cohort Study GRETA

Author

Franchi, M, Barni, S, Tagliabue, G, Ricci, P, Mazzucco, W, Tumino, R, Caputo, A, Corrao, G, Fabiano, S, Barigelletti, G, Gatti, L, Cusimano, R, Vitale, F, Giurdanella, M, Rollo, P, Spata, E, De Ceglie, M, Franchi, Matteo, Barni, Sandro, TAGLIABUE, GIOVANNA, Ricci, Paolo, Mazzucco, Walter, Tumino, Rosario, Caputo, Antonietta, Corrao, Giovanni, Tagliabue, Giovanna, Fabiano, Sabrina, Barigelletti, Giulio, Gatti, Lucina, Cusimano, Rosanna, Vitale, Francesco, Giurdanella, Maria Concetta, Rollo, Patrizia Concetta, Spata, Eugenia, De Ceglie, Maria Carolina, Franchi, M, Barni, S, Tagliabue, G, Ricci, P, Mazzucco, W, Tumino, R, Caputo, A, Corrao, G, Fabiano, S, Barigelletti, G, Gatti, L, Cusimano, R, Vitale, F, Giurdanella, M, Rollo, P, Spata, E, De Ceglie, M, Franchi, Matteo, Barni, Sandro, TAGLIABUE, GIOVANNA, Ricci, Paolo, Mazzucco, Walter, Tumino, Rosario, Caputo, Antonietta, Corrao, Giovanni, Tagliabue, Giovanna, Fabiano, Sabrina, Barigelletti, Giulio, Gatti, Lucina, Cusimano, Rosanna, Vitale, Francesco, Giurdanella, Maria Concetta, Rollo, Patrizia Concetta, Spata, Eugenia, and De Ceglie, Maria Carolina

Abstract

Background: Scant real-world data exist on the clinical outcomes associated with the use of bevacizumab-containing chemotherapy (B+CT) in patients with metastatic colorectal cancer (mCRC). The primary objective of the GRETA cohort study was to compare the overall survival (OS) of patients with mCRC treated with first-line B+CT versus chemotherapy (CT) alone, in an Italian clinical practice setting. Materials and Methods: Incident patients with mCRC were identified during the period 2010–2012 from five population-based cancer registries in Italy. Cases were linked to regional health care utilization databases to obtain the entire spectrum of health services provided to each patient. Patients starting a first-line treatment with B+CT or CT alone within 90 days from the diagnosis were included in the study cohort. A propensity score (PS) method was applied to account for residual confounding. Results: Of 480 patients with mCRC included in the study cohort, 21.0 received first-line B+CT, and 79.0% received CT. Patients receiving B+CT were younger (p <.001) and underwent surgery more frequently (p =.001). The median OS was 22.5 and 14.6 months for B+CT and CT, respectively (p =.011). The corresponding hazard ratios adjusted by multivariate modeling and PS matched analysis were 0.82 (95% confidence interval [CI], 0.62–1.08) and 0.86 (95% CI, 0.56–1.33), respectively. Similar results were observed after subgrouping by age and surgery. Conclusion: In this Italian real-world setting of unselected mCRC, the OS of patients treated with B+CT was consistent with previous observational and patient-registry studies. However, definitive evidence of an improvement in OS cannot be drawn. Implications for Practice: Bevacizumab is a well-established first-line treatment for metastatic colorectal cancer. However, there is scarce evidence in the literature about its effectiveness in clinical practice. Evaluating this topic should be of interest for both clinicians and regulatory agenc

Published
2019

54. PKC-alpha modulation by miR-483-3p in platinum-resistant ovarian carcinoma cells

Author

Arrighetti, N, Cossa, G, De Cecco, L, Stucchi, S, Carenini, N, Corna, E, Gandellini, P, Zaffaroni, N, Perego, P, Gatti, L, Arrighetti N., Cossa G., De Cecco L., STUCCHI, SIMONE, Carenini N., Corna E., Gandellini P., Zaffaroni N., Perego P., Gatti L., Arrighetti, N, Cossa, G, De Cecco, L, Stucchi, S, Carenini, N, Corna, E, Gandellini, P, Zaffaroni, N, Perego, P, Gatti, L, Arrighetti N., Cossa G., De Cecco L., STUCCHI, SIMONE, Carenini N., Corna E., Gandellini P., Zaffaroni N., Perego P., and Gatti L.

Abstract

The occurrence of drug resistance limits the efficacy of platinum compounds in the cure of ovarian carcinoma. Since microRNAs (miRNAs) may contribute to this phenomenon by regulating different aspects of tumor cell response, the aim of this study was to exploit the analysis of expression of miRNAs in platinum sensitive/resistant cells in an attempt to identify potential regulators of drug response. MiR-483-3p, which may participate in apoptosis and cell proliferation regulation, was found up-regulated in 4 platinum resistant variants, particularly in the IGROV-1/Pt1 subline, versus parental cells. Transfection of a synthetic precursor of miR-483-3p in IGROV-1 parental cells elicited a marked up-regulation of the miRNA levels. Growth-inhibition and colony-forming assays indicated that miR-483-3p over-expression reduced cell growth and conferred mild levels of cisplatin resistance in IGROV-1 cells, by interference with their proliferative potential. Predicted targets of miR-483-3p included PRKCA (encoding PKC-alpha), previously reported to be associated to platinum-resistance in ovarian carcinoma. We found that miR-483-3p directly targeted PRKCA in IGROV-1 cells. In keeping with this finding, cisplatin sensitivity of IGROV-1 cells decreased upon molecular/pharmacological inhibition of PKC-alpha. Overall, our results suggest that overexpression of miR-483-3p by ovarian carcinoma platinum-resistant cells may interfere with their proliferation, thus protecting them from DNA damage induced by platinum compounds and ultimately representing a drug-resistance mechanism. The impairment of cell growth may account for low levels of drug resistance that could be relevant in the clinical setting.

Published
2016

56. Caracterização morfométrica em sementes de castanha-do-brasil

Author

NASCIMENTO, W. M. O. do, CARVALHO, J. E. U. de, GATTI, L. A. P., WALNICE MARIA O DO NASCIMENTO, CPATU, JOSE EDMAR URANO DE CARVALHO, CPATU, and LUCAS ANTONIO PINHEIRO GATTI, BOLSISTA CNPQ.

Subjects
Morfologia Vegetal, Castanha-do-brasil, Bertholletia Excelsa, Semente
Abstract

Made available in DSpace on 2018-12-23T23:32:25Z (GMT). No. of bitstreams: 1 CBRG2018p250.pdf: 250407 bytes, checksum: c1a695424b6c93dc48770f60886e2200 (MD5) Previous issue date: 2018-12-20 Edição especial dos Anais do 5 Congresso Brasileiro de Recursos Genéticos, Fortaleza, nov. 2018.

Published
2018

57. Produção de frutos em clones de camucamuzeiro da coleção da Embrapa Amazônia Oriental

Author

NASCIMENTO, W. M. O. do, SILVA, J. C. O. da, GATTI, L. A. P., WALNICE MARIA O DO NASCIMENTO, CPATU, JENNIFER CAROLINA OLIVEIRA DA SILVA, UFRA, and LUCAS ANTONIO PINHEIRO GATTI, UFRA.

Subjects
Myrciaria Dubia, Fruto, Clone, Camu Camu, Polpa de Fruta, Polpa
Abstract

Made available in DSpace on 2018-12-23T23:30:39Z (GMT). No. of bitstreams: 1 CBRG2018p342.pdf: 231604 bytes, checksum: 73c278a676e9042e2e61631c57103a25 (MD5) Previous issue date: 2018-12-20 Edição especial dos Anais do 5 Congresso Brasileiro de Recursos Genéticos, Fortaleza, nov. 2018.

Published
2018

58. On the ability of a global atmospheric inversion to constrain variations of CO2 fluxes over Amazonia

Author

Molina, L., Broquet, Grégoire, Imbach, P., Chevallier, Frédéric, Poulter, B., Bonal, Damien, Burban, Benoît, Ramonet, Michel, Gatti, L. V., Wofsy, S. C., Munger, J. W., Dlugokencky, E., Ciais, Philippe, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Centro Agronomico Tropical de Investigacion y Enseñanza (CATIE), Montana State University (MSU), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Ecologie des forêts de Guyane (UMR ECOFOG), Université des Antilles (UA)-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA), ICOS-RAMCES (ICOS-RAMCES), Instituto de Pesquisas, Harvard University [Cambridge], National Oceanic and Atmospheric Administration (NOAA), ICOS-ATC (ICOS-ATC), ANR(ANR-10-LABX-0025), ARIA Technologies, Thales Alenia Space, Veolia, CEA, UVSQ, CNRS, CNES, INRA, French Ministry of Research, European Project: 283080,EC:FP7:ENV,FP7-ENV-2011,GEOCARBON(2011), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), and Harvard University

Subjects
lcsh:Chemistry, amazonie, lcsh:QD1-999, flux de gaz carbonique, [SDV]Life Sciences [q-bio], inversion atmosphérique, bassin amazonien, gaz carbonique atmosphérique, échange gazeux, co2 atmosphérique, lcsh:Physics, lcsh:QC1-999
Abstract

The exchanges of carbon, water and energy between the atmosphere and the Amazon basin have global implications for the current and future climate. Here, the global atmospheric inversion system of the Monitoring of Atmospheric Composition and Climate (MACC) service is used to study the seasonal and interannual variations of biogenic CO2 fluxes in Amazonia during the period 2002–2010. The system assimilated surface measurements of atmospheric CO2 mole fractions made at more than 100 sites over the globe into an atmospheric transport model. The present study adds measurements from four surface stations located in tropical South America, a region poorly covered by CO2 observations. The estimates of net ecosystem exchange (NEE) optimized by the inversion are compared to an independent estimate of NEE upscaled from eddy-covariance flux measurements in Amazonia. They are also qualitatively evaluated against reports on the seasonal and interannual variations of the land sink in South America from the scientific literature. We attempt at assessing the impact on NEE of the strong droughts in 2005 and 2010 (due to severe and longer-than-usual dry seasons) and the extreme rainfall conditions registered in 2009. The spatial variations of the seasonal and interannual variability of optimized NEE are also investigated. While the inversion supports the assumption of strong spatial heterogeneity of these variations, the results reveal critical limitations of the coarse-resolution transport model, the surface observation network in South America during the recent years and the present knowledge of modelling uncertainties in South America that prevent our inversion from capturing the seasonal patterns of fluxes across Amazonia. However, some patterns from the inversion seem consistent with the anomaly of moisture conditions in 2009.

Published
2015
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61. Investigating Core Excitations in the $^{131}$Sn One-valence-hole Nucleus

Author

Bottoni, S., primary, Iskra, Ł.W., additional, Leoni, S., additional, Fornal, B., additional, Colò, G., additional, Bazzacco, D., additional, Gatti, L., additional, Benzoni, G., additional, Blanc, A., additional, Bocchi, G., additional, Bracco, A., additional, Cieplicka-Oryńczak, N., additional, Crespi, F.C.L., additional, Jentschel, M., additional, Köster, U., additional, Michelagnoli, C., additional, Million, B., additional, Mutti, P., additional, Soldner, T., additional, Ur, C.A., additional, and Urban, W., additional

Published
2019
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62. Rice yield estimation using synthetic aperture radar (SAR) and the ORYZA crop growth model: development and application of the system in South and South-east Asian countries

Author

Setiyono, T. D., primary, Quicho, E. D., additional, Holecz, F. H., additional, Khan, N. I., additional, Romuga, G., additional, Maunahan, A., additional, Garcia, C., additional, Rala, A., additional, Raviz, J., additional, Collivignarelli, F., additional, Gatti, L., additional, Barbieri, M., additional, Phuong, D. M., additional, Minh, V. Q., additional, Vo, Q. T., additional, Intrman, A., additional, Rakwatin, P., additional, Sothy, M., additional, Veasna, T., additional, Pazhanivelan, S., additional, and Mabalay, M. R. O., additional

Published
2018
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64. P159 Usefulness of extended oral glucose tolerance test in patients with cystic fibrosis older than 16 years

Author

Baran, E., primary, Godoy, A., additional, Merino, E., additional, Benigni, L., additional, Gonzalez, J., additional, Pierini, N., additional, Copparoni, G., additional, Farah, A., additional, Zubillaga, M., additional, Rivera, A., additional, Ferranti, S., additional, Bocanegra, R., additional, Lorenzin, A., additional, Barrena, E., additional, Varela, C., additional, Gatti, L., additional, and Goñi, S., additional

Published
2018
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65. When cooperation goes wrong : brain and behavioural correlates of ineffective joint strategies in dyads

Author

Balconi, M, Gatti, L, Vanutelli, M, M. Balconi, L. Gatti, M.E. Vanutelli, Balconi, M, Gatti, L, Vanutelli, M, M. Balconi, L. Gatti, and M.E. Vanutelli

Abstract

Purpose: Human life is connoted by sophisticated interactions that involve not only single individuals, but larger social groups composed by members interacting each other. Cooperation secures a benefit to all the people engaged as well as important behaviors like helping, sharing, and acting prosocially. But what happens when the joint actions are not effective? Materials and method: In the present study, we asked 24 participants paired in 12 dyads to cooperate during an attentional task in a way to synchronize their responses and obtain better outcomes. In addition we tested inter-brain and cognitive strategy similarities between subjects. Then, we frustrated their strategies by providing false feedbacks signalling the incapacity to create a synergy, which was reinforced by a general negative evaluation halfway through the task. The effects of the feedback inmodulating subjects behavioural performance and brain responsiveness were explored by means of functional near-infrared spectroscopy (fNIRS). Results: Results showed a worsen performance after the negative feedback in the form of longer reaction times and a specifc pattern of brain activation involving th dorsolateral prefrontal cortex (DLPFC) and the superior frontal gyrus. The DLPFC showed increased O2Hb (oxy-haemoglobin) level after the feedback, compatible with the need for higher cognitive effort. In addition, fNIRS measures revealed a decreased inter-brain synchronicity in post-feedback condition for the dyad. Also, the representation of negative emotions in response to failing interactions was signalled by a right-lateralized effect. Conclusions: Results were interpreted at light of available knowledge on perceived self-efficacy and the implementation of common goals and strategies.

Published
2018

66. May the Best Joint-Actions Win : Physiological Linkage During Competition

Author

Vanutelli, M, Gatti, L, Angioletti, L, Balconi, M, Vanutelli, Maria Elide, Gatti, Laura, Angioletti, Laura, Balconi, Michela, Vanutelli, M, Gatti, L, Angioletti, L, Balconi, M, Vanutelli, Maria Elide, Gatti, Laura, Angioletti, Laura, and Balconi, Michela

Abstract

Previous work showed that, when we interact with other people, an alignment of psychophysiological measures occur as a clue about the intensity of the social interaction. Available evidence highlighted increase autonomic synchrony, known as physiological linkage, during intense dyadic situations, like conflictual conversations within romantic couples, friends, or therapeutic settings. Starting from the idea that higher physiological linkage could support better performance and be correlated with approach attitudes (Behavioral Activation System, BAS), in the present study a conflictual situation was proposed by making subjects compete during an attentional task and stressing the importance to win as a measure of future professional success. Autonomic activity (electrodermal: skin conductance level and response: SCL, SCR; and cardiovascular indices: heart rate: HR) was recorded during the task, where subjects received trial-related feedbacks on their performance, and an average score halfway which (fictitiously) assessed their position in terms of accuracy and reaction times with respect to the opponent. In parallel, behavioral inhibition and activation have been assessed by means of the Behavioral Inhibition/Activation System Questionnaire (BIS/BAS). 32 subjects coupled in 16 dyads were recruited. Intra-subject analyses revealed that, after the general evaluation assessing a winning condition, the behavioral performance improved and the electrodermal response increased. Also, correlational analyses showed a relation between BAS, and specifically BAS reward, with SCR. Inter-subject analyses showed higher synchrony in SCR and HR after the feedback. Such results confirm the increased synchronic effect after a highly conflictual condition, and the presence of a relation between subjective performance, approach-related motivations, and physiological linkage.

Published
2018

67. Functional brain connectivity when cooperation fails

Author

Balconi, M, Vanutelli, M, Gatti, L, Balconi, Michela, Vanutelli, Maria Elide, Gatti, Laura, Balconi, M, Vanutelli, M, Gatti, L, Balconi, Michela, Vanutelli, Maria Elide, and Gatti, Laura

Abstract

Functional connectivity during cooperative actions is an important topic in social neuroscience that has yet to be answered. Here, we examined the effects of administration of (fictitious) negative social feedback in relation to cooperative capabilities. Cognitive performance and neural activation underlying the execution of joint actions was recorded with functional near-infrared spectroscopy (fNIRS) on prefrontal regions during a task where pairs of participants received negative feedback after their joint action. Performance (error rates (ERs) and response times (RTs)) and intra- and inter-brain connectivity indices were computed, along with the ConIndex (inter-brain/intra-brain connectivity). Finally, correlational measures were considered to assess the relation between these different measures. Results showed that the negative feedback was able to modulate participants’ responses for both behavioral and neural components. Cognitive performance was decreased after the feedback. Moreover, decreased inter-brain connectivity and increased intra-brain connectivity was induced by the feedback, whereas the cooperative task pre-feedback condition was able to increase the brain-to-brain coupling, mainly localized within the dorsolateral prefrontal cortex (DLPFC). Finally, the presence of significant correlations between RTs and inter-brain connectivity revealed that ineffective joint action produces the worst cognitive performance and a more ‘individual strategy’ for brain activity, limiting the inter-brain connectivity. The present study provides a significant contribution to the identification of patterns of intra- and inter-brain functional connectivity when negative social reinforcement is provided in relation to cooperative actions.

Published
2018

68. EEG functional connectivity and brain-to-brain coupling in failing cognitive strategies

Author

Balconi, M, Gatti, L, Vanutelli, M, Balconi, Michela, Gatti, Laura, Vanutelli, Maria Elide, Balconi, M, Gatti, L, Vanutelli, M, Balconi, Michela, Gatti, Laura, and Vanutelli, Maria Elide

Abstract

Cooperation behavior is a core question of study on social neuroscience. In the present study, inter-brain functional connectivity and cognitive performance were considered during joint which was failing. The cognitive performance and the EEG (brain oscillations from delta to beta) underlying the execution of joint-actions were recorded when dyads of participants executed synchronicity game and received reinforcing negative feedbacks A pre-feedback condition (cooperation) and a control condition (individual task, T0) were provided as well as a check for possible learning effect (time series analysis). Finally, correlation analysis was considered to assess the relation between behavioral and physiological levels. Results showed that the external feedback was able to modulate participants’ responses in both behavioral and neural components with increased RTs and ERs after the negative reinforcement. Similarly, a reduced inter-brain connectivity was found, mainly localized within the superior frontal regions, and for low-frequency bands (delta and theta). In contrast pre-feedback condition showed the best performance in terms of both behavioral and brain-to-brain coupling activity. Moreover, the presence of significant correlations between RTs and inter-brain connectivity revealed that the failing cooperation induces significant negative effects on the cognitive and brain strategy in comparison with cooperative (pre-feedback) and individual (control) condition. The present study provides significant contribution to the identification of patterns of cognitive behavior and functional connectivity when social reinforcement is provided within dyads of participants by using a hyperscanning approach.

Published
2018

69. Cooperate or not cooperate EEG, autonomic, and behavioral correlates of ineffective joint strategies

Author

Balconi, M, Gatti, L, Vanutelli, M, Balconi, Michela, Gatti, Laura, Vanutelli, Maria Elide, Balconi, M, Gatti, L, Vanutelli, M, Balconi, Michela, Gatti, Laura, and Vanutelli, Maria Elide

Abstract

Introduction: The neural activity in response to ineffective joint actions was explored in the present study. Subjects involved in a cooperative but frustrating task (poor performance as manipulated by an external feedback) were required to cooperate (T1) during an attentional task in a way to synchronize their responses and obtain better outcomes. Methods: We manipulated their strategies by providing false feedbacks (T2) signaling the incapacity to create a synergy, which was reinforced by a general negative evaluation halfway through the game. A control condition was provided (no cooperation required, T0) as well as a check for possible learning effect (time series analysis). The effects of the feedback in modulating subjects' behavioral performance and electrocortical activity were explored by means of brain oscillations (delta, theta, alpha, beta) and autonomic activity (heart rate, HR; skin conductance activity, SCR). Results: Results showed a specific pattern of behavioral, neural, and peripheral responses after the social feedback. In fact, within this condition, worse behavioral outcomes emerged, with longer response times with respect to the prefeedback one. In parallel, a specific right-lateralized effect was observed over the dorsolateral prefrontal cortex (DLPFC), with increased delta and theta power compared to the previous condition. Moreover, increased SCR was observed with respect to the first part. Conclusions: Two interpretations are put forward to explain the present findings: 1) the contribution of negative emotions in response to failing interactions or 2) a motivational disengagement toward goal-oriented cooperation elicited by frustrating evaluations.

Published
2018

71. Methane flux, vertical gradient and mixing ratio measurements in a tropical forest

Author

Querino, C.A.S., Smeets, C.J.P.P., Vigano, I., Holzinger, R., Moura, V., Gatti, L. V., Martinewski, A., Manzi, A.O., de Araújo, A.C., Röckmann, T., Marine and Atmospheric Research, Sub Dynamics Meteorology, Sub Atmospheric physics and chemistry, Marine and Atmospheric Research, Sub Dynamics Meteorology, and Sub Atmospheric physics and chemistry

Subjects
0106 biological sciences, Canopy, Atmospheric Science, Daytime, Diurnal Variation, 010504 meteorology & atmospheric sciences, Mixing Ratio, Manaus, Amazonas, Atmospheric sciences, 01 natural sciences, Methane, lcsh:Chemistry, chemistry.chemical_compound, Flux (metallurgy), Mixing ratio, Tropical Forest, 0105 earth and related environmental sciences, Hydrology, Tree canopy, Brasil, Diurnal temperature variation, Carbon Dioxide, 15. Life on land, lcsh:QC1-999, chemistry, lcsh:QD1-999, 13. Climate action, Forest Canopy, Carbon dioxide, Environmental science, Turbulent Boundary Layer, lcsh:Physics, 010606 plant biology & botany
Abstract

Measurements of CH4 mixing ratio, vertical gradients and turbulent fluxes were carried out in a tropical forest (Reserva Biológica Cuieiras), about 60 km north of Manaus, Brazil. The methane mixing ratio and flux measurements were performed at a height of 53 m (canopy height 35 m). In addition, vertical CH4 gradients were measured within the canopy using custom made air samplers at levels of 2, 16 and 36 m above ground. The methane gradients within the canopy reveal that there is a continuous methane source at the surface. No clear evidence for aerobic methane emission from the canopy was found. The methane fluxes above the canopy are small but consistently upwards with a maximum early in the morning. The measured fluxes are in agreement with the observed CH4 gradient in the canopy. In the morning hours, a strong canopy venting peak is observed for both CH4 and CO2, but for CO2 this peak is then superimposed by photosynthetic uptake, whereas the peak lasts longer for CH4. Monthly averaged diurnal cycles of the CH4 mixing ratio show a decrease during daytime and increase during nighttime. The magnitude of the difference in CH4 mixing ratio between day and night gradually increases throughout the wet season. The fluxes required to explain the nighttime increase are in agreement with the nighttime fluxes measured above the canopy, which implies that the CH4 increase in the nighttime boundary layer originates from local sources.

Published
2011

72. Global surveillance of trends in cancer survival 2000–14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries

Author

Allemani, Claudia, primary, Matsuda, Tomohiro, additional, Di Carlo, Veronica, additional, Harewood, Rhea, additional, Matz, Melissa, additional, Nikšić, Maja, additional, Bonaventure, Audrey, additional, Valkov, Mikhail, additional, Johnson, Christopher J, additional, Estève, Jacques, additional, Ogunbiyi, Olufemi J, additional, Azevedo e Silva, Gulnar, additional, Chen, Wan-Qing, additional, Eser, Sultan, additional, Engholm, Gerda, additional, Stiller, Charles A, additional, Monnereau, Alain, additional, Woods, Ryan R, additional, Visser, Otto, additional, Lim, Gek Hsiang, additional, Aitken, Joanne, additional, Weir, Hannah K, additional, Coleman, Michel P, additional, Bouzbid, S, additional, Hamdi-Chérif, M, additional, Zaidi, Z, additional, Meguenni, K, additional, Regagba, D, additional, Bayo, S, additional, Cheick Bougadari, T, additional, Manraj, S S, additional, Bendahhou, K, additional, Fabowale, A, additional, Bradshaw, D, additional, Somdyala, N I M, additional, Kumcher, I, additional, Moreno, F, additional, Calabrano, G H, additional, Espinola, S B, additional, Carballo Quintero, B, additional, Fita, R, additional, Diumenjo, M C, additional, Laspada, W D, additional, Ibañez, S G, additional, Lima, C A, additional, De Souza, P C F, additional, Del Pino, K, additional, Laporte, C, additional, Curado, M P, additional, de Oliveira, J C, additional, Veneziano, C L A, additional, Veneziano, D B, additional, Latorre, M R D O, additional, Tanaka, L F, additional, Rebelo, M S, additional, Santos, M O, additional, Galaz, J C, additional, Aparicio Aravena, M, additional, Sanhueza Monsalve, J, additional, Herrmann, D A, additional, Vargas, S, additional, Herrera, V M, additional, Uribe, C J, additional, Bravo, L E, additional, Garcia, L S, additional, Arias-Ortiz, N E, additional, Morantes, D, additional, Jurado, D M, additional, Yépez Chamorro, M C, additional, Delgado, S, additional, Ramirez, M, additional, Galán Alvarez, Y H, additional, Torres, P, additional, Martínez-Reyes, F, additional, Jaramillo, L, additional, Quinto, R, additional, Castillo, J, additional, Mendoza, M, additional, Cueva, P, additional, Yépez, J G, additional, Bhakkan, B, additional, Deloumeaux, J, additional, Joachim, C, additional, Macni, J, additional, Carrillo, R, additional, Shalkow Klincovstein, J, additional, Rivera Gomez, R, additional, Poquioma, E, additional, Tortolero-Luna, G, additional, Zavala, D, additional, Alonso, R, additional, Barrios, E, additional, Eckstrand, A, additional, Nikiforuk, C, additional, Noonan, G, additional, Turner, D, additional, Kumar, E, additional, Zhang, B, additional, McCrate, F R, additional, Ryan, S, additional, MacIntyre, M, additional, Saint-Jacques, N, additional, Nishri, D E, additional, McClure, C A, additional, Vriends, K A, additional, Kozie, S, additional, Stuart-Panko, H, additional, Freeman, T, additional, George, J T, additional, Brockhouse, J T, additional, O'Brien, D K, additional, Holt, A, additional, Almon, L, 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2018
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74. Italian cancer figures, report 2014: Prevalence and cure of cancer in Italy

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Adamo, M., Alessi, D., Aletta, P., Amodio, R., Andreone, S., Angelin, T., Anghinoni, E., Annulli, M., Arciprete, C., Artioli, M., Autelitano, M., Baili, P., Balducci, C., Baracco, M., Baracco, S., Battisti, W., Bella, F., Bellatalla, C., Bellini, A., Belluardo, C., Benatti, P., Benedetto, G., Benfatto, L., Bernazza, E., Bianconi, F., Biavati, P., Bidoli, E., Birri, S., Bizzoco, S., Bonelli, L., Bonini, A., Borciani, E., Bordini, M., Bovo, E., Bozzani, F., Braghiroli, B., Brucculeri, M., Brunori, V., Bucalo, G., Bucchi, L., Bugliarello, E., Bulatko, A., Busco, S., Busso, P., Buzzoni, C., Calabrese, A., Calabretta, L., Caldarella, A., Candela, G., Cannone, G., Canu, L., Caparelli, M., Capocaccia, R., Cappelletti, M., Caprara, L., Carboni, D., Carletti, N., Caroli, S., Cascio, M., Cascone, G., Casella, C., Castaing, M., Cavalieri, D., L, Cecconami, L., Celesia, M., Cena, T., Cercato, M., Cesaraccio, R., Chiesa, R., Cirilli, C., Cocchioni, M., Codazzi, T., Cogno, R., Colamartini, A., Colanino, Z., A, Cometti, I., Contiero, P., Contrino, M., Corbinelli, A., Cordaro, C., Corti, M., Costa, A., Costarelli, D., Coviello, V., Crapanzano, G., Cremone, L., Crocetti, E., Cuccaro, F., Curatella, S., Cusimano, R., D Alò, D., Dal, C., Dal, T., Cin, A., Dal, M., Davini, C., Dottori, D., De, M., Angelis, R., Santis, D., De, E., Valiere, E., Dei, T., Demurtas, G., Devigili, E., Felice, D., Di, E., Grazia, L., Gregorio, D., Di, C., Norcia, R., Prima, D., Dinaro, Y., Distefano, R., Doa, N., Domati, F., Fabiano, S., Facchinelli, G., Falcini, F., Falk, M., Fanetti, A., Fattoruso, S., Federico, M., Ferrari, F., Ferrari, L., Ferretti, S., Fidelbo, M., Filipazzi, L., Fiore, A., Fiori, G., Foca, F., Forgiarini, O., Foschi, R., Francisci, S., Frasca, G., Frassoldi, E., Fusco, M., Gada, D., Garrone, E., Gasparotti, C., Gatta, G., Gatti, L., Gaudiano, C., Gennaro, V., Gentilini, M., Gerevini, C., Ghilardi, S., Ghisleni, S., Giacomin, A., Giavazzi, L., Gigli, A., Gilardi, F., Giorgetti, S., Giorgi, R., P, Giubelli, C., Giuliani, O., Giurdanella, M., Gola, G., Goldoni, C., Golizia, M., Greco, A., Guarda, L., Guttadauro, A., Guzzinati, S., Iachetta, F., Iannelli, A., Ieni, A., Intrieri, T., Kaleci, S., Rosa, L., F, Lando, C., Lavecchia, A., Lazzarato, F., Rose, L., Leone, A., Leone, R., Lonati, F., Lucchi, S., Luminari, S., Macci, L., Macerata, V., Madeddu, A., Maffei, S., Maghini, A., Magnani, C., Magnani, G., Magoni, M., Mallone, S., Mameli, G., Mancini, S., Mancuso, P., Mangone, L., Manneschi, G., Mannino, R., Mannino, S., Marani, E., Marchesi, C., Mariani, F., Martorana, C., Marzola, L., Maspero, S., Maule, M., Mazzei, A., Mazzoleni, G., Mazzucco, G., Melcarne, A., Merletti, F., Merlo, E., Michiara, M., Migliari, E., Minerba, S., Minicuzzi, A., Mizzi, M., Monetti, D., Morana, G., Moroni, E., Mosso, M., Muni, A., Mura, F., Natali, M., Negrino, L., Nemcova, L., Nicita, C., Ocello, C., Pala, F., Palumbo, M., Panciroli, E., Panico, M., Pannozzo, F., Pascucci, C., Pasolini, A., Pastore, G., Patriarca, S., Pedroni, M., Perrotta, C., Pesce, P., Petrinelli, A., Petrucci, C., Pezzarossi, A., Pezzuto, L., Piffer, S., Pinon, M., Antonio Pinto, Pintori, N., Pirani, M., Pirino, D., Pironi, V., Ponz, D., Leon, M., Prandi, R., Prazzoli, R., Puleio, M., Puppo, A., Quarta, F., Quattrocchi, M., Ramazzotti, V., Rashid, I., Ravaioli, A., Ravazzolo, B., Ravegnani, M., Reggiani Bonetti, L., Ricci, P., Rinaldi, E., Rizzello, R., Rognoni, M., Rollo, P., Roncaglia, F., Roncucci, L., Rosano, A., Rossi, F., Rossi, G., Rossi, M., Rossi, S., Rossini, S., Rosso, S., Rudisi, G., Ruggeri, M., Russo, A., Russo, M., Sacchettini, C., Sacchetto, L., Sacco, G., Sacerdote, C., Salvatore, S., Salvi, O., Sampietro, G., Santucci, C., Scheibel, M., Sciacca, S., Sciacchitano, C., Sciacchitano, S., Scuderi, T., Sechi, O., Seghini, P., Senatore, G., Serafini, G., Serraino, D., Sgargi, P., Sini, G., Sobrato, I., Soddu, M., Solimene, C., Spano, F., Spata, E., Sperduti, I., Spinosa, S., Staiti, R., Stocco, C., Stracci, F., Sunseri, R., Sutera, S., Tagliabue, G., Tamburo, L., Tamburrino, S., Taranto, V., Terracini, B., Tisano, F., Tittarelli, A., Tognazzo, S., Torrisi, A., Traina, A., Trama, A., Trapani, C., Tschugguel, B., Tumino, R., Usala, M., Vacirca, S., Valerio, O., Valla, K., Varvarà, M., Vasquez, E., Vassante, B., Vattiato, R., Vercelli, M., Vercellino, P., Vicentini, M., Villa, M., Virdone, S., Francesco Vitale, Vitale, M., Vitali, B., Vitali, M., Vitarelli, S., Zanchi, A., Zanetti, R., Zani, G., Zanier, L., Zappa, M., Zarcone, M., Zevola, A., Zorzi, M., Zucchetto, A., Zucchi, A., Adamo, MS, Alessi, D, Aletta, P, Amodio, R, Andreone, S, Angelin, T, Anghinoni, E, Annulli, ML, Arciprete, C, Artioli, ME, Autelitano, M, Baili, P, Balducci, C, Baracco, M, Baracco, S, Battisti, W, Bella, F, Bellatalla, C, Bellini, A, Belluardo, C, Benatti, P, Benedetto, G, Benfatto, L, Bernazza, E, Bianconi, F, Biavati, P, Bidoli, E, Birri, S, Bizzoco, S, Bonelli, L, Bonini, A, Borciani, E, Bordini, M, Bovo, E, Bozzani, F, Braghiroli, B, Brucculeri, MA, Brunori, V, Bucalo, G, Bucchi, L, Bugliarello, E, Bulatko, A, Busco, S, Busso, P, Buzzoni, C, Calabrese, A, Calabretta, L, Caldarella, A, Candela, G, Cannone, G, Canu, L, Caparelli, M, Capocaccia, R, Cappelletti, M, Caprara, L, Carboni, D, Carletti, N, Caroli, S, Cascio, MA, Cascone, G, Casella, C, Castaing, M, Cavalieri, d'Oro, L, Cecconami, L, Celesia, MV, Cena, T, Cercato, MC, Cesaraccio, R, Chiesa, R, Cirilli, C, Cocchioni, M, Codazzi, T, Cogno, R, Colamartini, A, Colanino, Ziino, A, Cometti, I, Contiero, P, Contrino, ML, Corbinelli, A, Cordaro, C, Corti, M, Costa, A, Costarelli, D, Coviello, V, Crapanzano, G, Cremone, L, Crocetti, E, Cuccaro, F, Curatella, S, Cusimano, R, D'Alò, D, Dal, Cappello, T, Dal, Cin, A, Dal, Maso, L, Davini, C, De, Dottori, M, De, Angelis, R, De, Santis, E, De, Valiere, E, Dei, Tos, AP, Demurtas, G, Devigili, E, Di, Felice, E, di, Grazia, L, Di, Gregorio, C, di, Norcia, R, Di, Prima, A, Dinaro, Y, Distefano, R, Doa, N, Domati, F, Fabiano, S, Facchinelli, G, Falcini, F, Falk, M, Fanetti, AC, Fattoruso, S, Federico, M, Ferrari, F, Ferrari, L, Ferretti, S, Fidelbo, M, Filipazzi, L, Fiore, AR, Fiori, G, Foca, F, Forgiarini, O, Foschi, R, Francisci, S, Frasca, G, Frassoldi, E, Fusco, M, Gada, D, Garrone, E, Gasparotti, C, Gatta, G, Gatti, L, Gaudiano, C, Gennaro, V, Gentilini, MA, Gerevini, C, Ghilardi, S, Ghisleni, S, Giacomin, A, Giavazzi, L, Gigli, A, Gilardi, F, Giorgetti, S, Giorgi, Rossi, P, Giubelli, C, Giuliani, O, Giurdanella, MC, Gola, G, Goldoni, CA, Golizia, MG, Greco, A, Guarda, L, Guttadauro, A, Guzzinati, S, Iachetta, F, Iannelli, A, Ieni, A, Intrieri, T, Kaleci, S, La, Rosa, F, Lando, C, Lavecchia, AM, Lazzarato, F, Le, Rose, L, Leone, A, Leone, R, Lonati, F, Lucchi, S, Luminari, S, Macci, L, Macerata, V, Madeddu, A, Maffei, S, Maghini, A, Magnani, C, Magnani, G, Magoni, M, Mallone, S, Mameli, G, Mancini, S, Mancuso, P, Mangone, L, Manneschi, G, Mannino, R, Mannino, S, Marani, E, Marchesi, C, Mariani, F, Martorana, C, Marzola, L, Maspero, S, Maule, M, Mazzei, A, Mazzoleni, G, Mazzucco, G, Melcarne, A, Merletti, F, Merlo, E, Michiara, M, Migliari, E, Minerba, S, Minicuzzi, A, Mizzi, M, Monetti, D, Morana, G, Moroni, E, Mosso, ML, Muni, A, Mura, F, Natali, M, Negrino, L, Nemcova, L, Nicita, C, Ocello, C, Pala, F, Palumbo, M, Panciroli, E, Panico, M, Pannozzo, F, Pascucci, C, Pasolini, A, Pastore, G, Patriarca, S, Pedroni, M, Perrotta, C, Pesce, P, Petrinelli, AM, Petrucci, C, Pezzarossi, A, Pezzuto, L, Piffer, S, Pinon, M, Pinto, A, Pintori, N, Pirani, M, Pirino, D, Pironi, V, Ponz, de, Leon, M, Prandi, R, Prazzoli, R, Puleio, M, Puppo, A, Quarta, F, Quattrocchi, M, Ramazzotti, V, Rashid, I, Ravaioli, A, Ravazzolo, B, Ravegnani, M, Reggiani-Bonetti, L, Ricci, P, Rinaldi, E, Rizzello, R, Rognoni, M, Rollo, PC, Roncaglia, F, Roncucci, L, Rosano, A, Rossi, F, Rossi, G, Rossi, M, Rossi, S, Rossini, S, Rosso, S, Rudisi, G, Ruggeri, MG, Russo, AG, Russo, M, Sacchettini, C, Sacchetto, L, Sacco, G, Sacerdote, C, Salvatore, S, Salvi, O, Sampietro, G, Santucci, C, Scheibel, M, Sciacca, S, Sciacchitano, C, Sciacchitano, S, Scuderi, T, Sechi, O, Seghini, P, Senatore, G, Serafini, G, Serraino, D, Sgargi, P, Sini, GM, Sobrato, I, Soddu, M, Solimene, C, Spano, F, Spata, E, Sperduti, I, Spinosa, S, Staiti, R, Stocco, C, Stracci, F, Sunseri, R, Sutera, Sardo, A, Tagliabue, G, Tamburo, L, Tamburrino, S, Taranto, V, Terracini, B, Tisano, F, Tittarelli, A, Tognazzo, S, Torrisi, A, Traina, A, Trama, A, Trapani, C, Tschugguel, B, Tumino, R, Usala, M, Vacirca, S, Valerio, O, Valla, K, Varvarà, M, Vasquez, E, Vassante, B, Vattiato, R, Vercelli, M, Vercellino, PC, Vicentini, M, Villa, M, Virdone, S, Vitale, F, Vitale, MF, Vitali, B, Vitali, ME, Vitarelli, S, Zanchi, A, Zanetti, R, Zani, G, Zanier, L, Zappa, M, Zarcone, M, Zevola, A, Zorzi, M, Zucchetto, A, and Zucchi, A

Subjects
Aged, 80 and over, Male, Medicine (all), Aged, Female, Humans, Italy, Middle Aged, Neoplasms, Prevalence, Registries, Survival Rate, Socio-culturale, Settore MED/42 - Igiene Generale E Applicata, 80 and over, cancer prevalence, cancer incidence, cancer in Italy
Abstract

This Report intends to estimate the total number of people still alive in 2010 after cancer diagnosis in Italy, regardless of the time since diagnosis, and to project these estimates to 2015. This study is also aimed to estimate the number of already cured cancer patients, whose mortality rates have become undistinguishable from that of the general population of the same age and sex.The study took advantage of the information from the AIRTUM database, which included 29 Cancer Registries (covering 21 million people, 35% of the Italian population). A total of 1,624,533 cancer cases diagnosed between 1976 and 2009 contributed to the study. For each registry, the observed prevalence was calculated. Prevalence for lengths of time exceeding the maximum duration of the registration and of the complete prevalence were derived by applying an estimated correction factor, the completeness index. This index was estimated by means of statistical regression models using cancer incidence and survival data available in registries with 18 years of observation or more. For 50 types or combinations of neoplasms, complete prevalence was estimated at 1.1.2010 as an absolute number and as a proportion per 100,000 inhabitants by sex, age group, area of residence, and years since diagnosis. Projections of complete prevalence for 1.1.2015 were computed under the assumption of a linear trend of the complete prevalence observed until 2010. Validated mixture cure models were used to estimate: the cure fraction, that is the proportion of patients who, starting from the time of diagnosis, are expected to reach the same mortality rate of the general population; the conditional relative survival (CRS), that is the cumulative probability of surviving some additional years, given that patients already survived a certain number of years; the time to cure, that is the number of years necessary so that conditional survival in the following five years (5-year CRS) exceeds the conventional threshold of 95% (i.e., mortality rates in cancer patients become undistinguishable compared to those of the general population); the proportion of patients already cured, i.e., people alive since a number of years exceeding time to cure.As of 1.1.2010, it was estimated that 2,587,347 people were alive after a cancer diagnosis, corresponding to 4.4% of the Italian population. A relevant geographical heterogeneity emerged, with a prevalence above 5% in northern registries and below 4% in southern areas. Men were 45% of the total (1,154,289) and women 55% (1,433,058). In the population aged 75 years or more, the proportions of prevalent cases were 20% in males and 13% in females, 11% between 60 and 74 years of age in both sexes. Nearly 600,000 Italian women were alive after a breast cancer diagnosis (41% of all women with this neoplasm), followed by women with cancers of the colon rectum (12%), corpus uteri (7%), and thyroid (6%). In men, 26% of prevalent cases (295,624) were patients with prostate cancer, 16% with either bladder or colon rectum cancer. The projections for 1.1.2015 are of three million (3,036,741) people alive after a cancer diagnosis, 4.9% of the Italian population; with a 20% increase for males and 15% for females, compared to 2010. The cure fractions were heterogeneous according to cancer type and age. Estimates obtained as the sum of cure fractions for all cancer types showed that more than 60% of patients diagnosed below the age of 45 years will reach the same mortality rate of the general population. This proportion decreased with increasing age and it was30% for cancer diagnosed after the age of 74 years. It was observed that 60% of all prevalent cases (1,543,531 people or 2.6% of overall Italian population) had been diagnosed5 years earlier (long-term survivors). Time to cure (5-year CRS95%) was reached in10 years by patients with cancers of the stomach, colon rectum, pancreas, corpus and cervix uteri, brain, and Hodgkin lymphoma. Mortality rates similar to the ones reported by the general population were reached after approximately 20 years for breast and prostate cancer patients. Five-year CRS remained95% for25 years after cancer diagnosis in patients with liver and larynx cancers, non-Hodgkin lymphoma, myeloma, and leukaemia. Time to cure was reached by 27% (20% in men and 33% in women) of all people living after a cancer diagnosis, defined as already cured.The study showed a steady increase over time (nearly +3% per year) of prevalent cases in Italy. A quarter of Italian cancer patients alive in 2010 can be considered as already cured. The AIRTUM Report 2014 describes characteristics of cancer patients and former-patients for 50 cancer types or combinations by sex and age. This detailed information promotes the conduction of studies aimed at expanding the current knowledge on the quality of life of these patients during and after the active phase of treatments (prevalence according to health status), on the long-term effects of treatments (in particular for paediatric patients), on the cost profile of cancer patients, and on rare tumours. All these observations have a high potential impact on health planning, clinical practice, and, most of all, patients' perspective.

Published
2014

76. ITALIAN CANCER FIGURES - REPORT 2015: The burden of rare cancers in Italy = I TUMORI IN ITALIA - RAPPORTO 2015: I tumori rari in Italia

Author

Busco, Susanna, Buzzoni, Carlotta, Mallone, Sandra, Trama, Annalisa, Castaing, Marine, Bella, Francesca, Amodio, Rosalba, Bizzoco, Sabrina, Cassetti, Tiziana, Cirilli, Claudia, Cusimano, Rosanna, De Angelis, Roberta, Fusco, Mario, Gatta, Gemma, Gennaro, Valerio, Giacomin, Adriano, Giorgi Rossi, Paolo, Mangone, Lucia, Mannino, Salvatore, Rossi, Silvia, Pierannunzio, Daniela, Tavilla, Andrea, Tognazzo, Sandro, Tumino, Rosario, Vicentini, Massimo, Vitale, Maria Francesca, Crocetti, Emanuele, Dal Maso, Luigino, Mazzoleni, G, Bulatko, A, Devigili, E, Tschugguel, B, De Valiere, E, Facchinelli, G, Falk, M, Vittadello, F, Coviello, V, Cuccaro, F, Calabrese, A, Pinto, A, Cannone, G, Vitali, Me, Sampietro, G, Ghisleni, S, Giavazzi, L, Zanchi, A, Zucchi, A, Giacomin, A, Vercellino, Pc, Andreone, S, Fedele, M, Barale, A, Germinetti, F, Magoni, M, Zani, G, Salvi, O, Puleio, M, Gerevini, C, Adorni, A, Chiesa, R, Lonati, F, Tumino, R, Cascone, G, Frasca, G, Giurdanella, Mc, Martorana, C, Morana, G, Nicita, C, Rollo, Pc, Ruggeri, Mg, Spata, E, Vacirca, S, Sciacca, S, Sciacchitano, C, Fidelbo, M, Paderni, F, Benedetto, G, Vasquez, E, Bella, F, Calabretta, L, Castaing, M, Di Prima, A, Ieni, A, Leone, A, Pesce, P, Sciacchitano, S, Torrisi, A, Varvarà, M, Sutera Sardo, A, Mazzei, A, Lavecchia, Am, Mancuso, P, Nocera, V, Gola, G, Corti, M, Grandi, L, Caparelli, M, Mannino, S, Belluardo, C, Bizzoco, S, Davini, C, Lucchi, S, Villa, M, Anghinoni, E, Di Norcia, R, Ferretti, S, Biavati, P, Marzola, L, Migliari, E, Carletti, N, Petrucci, C, Brosio, F, Piccinni, L, Valente, N, Barchielli, A, Buzzoni, C, Caldarella, A, Corbinelli, A, Di Dia PP, Intrieri, T, Manneschi, G, Nemcova, L, Susini, N, Visoli, C, Zappa, M, Serraino, D, Angelin, T, Bidoli, E, Birri, S, Dal Maso, L, De Dottori, M, De Santis, E, Forgiarini, O, Zucchetto, A, Zanier, L, Filiberti, Ra, Casella, C, Marani, E, Puppo, A, Celesia, Mv, Cogno, R, Garrone, E, Pannozzo, F, Busco, S, Rashid, I, Ramazzotti, V, Cercato, Mc, Natali, M, Battisti, W, Sperduti, I, Macci, L, Bugliarello, E, Bernazza, E, Tamburo, L, Rossi, M, Curatella, S, Tamburrino, S, Fattoruso, S, Valerio, O, Melcarne, A, Quarta, F, Golizia, Mg, Raho, Am, De Maria, V, Vitarelli, S, Ricci, P, Guarda, L, Gatti, L, Pironi, V, Pasolini, A, Bordini, M, Autelitano, M, Ghilardi, S, Leone, R, Filipazzi, L, Bonini, A, Giubelli, C, Russo, Ag, Quattrocchi, M, Distefano, R, Panciroli, E, Bellini, A, Pinon, M, Spinosa, S, Spagnoli, G, Goldoni, Ca, Valla, K, Braghiroli, B, Cirilli, C, Donini, M, Amendola, V, Cavalieri d'Oro, L, Rognoni, M, Le Rose, L, Merlo, E, Negrino, L, Pezzuto, L, Fusco, M, Bellatalla, C, Panico, M, Perrotta, C, Vassante, B, Vitale, Mf, Usala, M, Pala, F, Sini, Gm, Pintori, N, Canu, L, Demurtas, G, Doa, N, Vitale, F, Cusimano, R, Traina, A, Guttadauro, A, Cascio, Ma, Mannino, R, Ravazzolo, B, Brucculeri, Ma, Rudisi, G, Adamo, Ms, Amodio, R, Costa, A, Zarcone, M, Sunseri, R, Bucalo, G, Trapani, C, Staiti, R, Michiara, M, Bozzani, F, Sgargi, P, Borciani, E, Seghini, P, Faccini, F, Prazzoli, R, Mangone, L, Di Felice, E, Pezzarossi, A, Caroli, S, Sacchettini, C, Ferrari, F, Roncaglia, F, Vicentini, M, Falcini, F, Colamartini, A, Bucchi, L, Balducci, C, Ravegnani, M, Vitali, B, Cordaro, C, Caprara, L, Giuliani, O, Giorgetti, S, Palumbo, M, Vattiato, R, Ravaioli, A, Mancini, S, Caiazzo, Al, Cavallo, R, Colavolpe, Af, D'Alessandro, A, Iannelli, A, Lombardo, C, Senatore, G, Sensi, F, Cesaraccio, R, Sechi, O, Pirino, D, Mura, F, Contrino, Ml, Madeddu, A, Tisano, F, Muni, A, Dinaro, Y, Mizzi, M, Sacco, G, Aletta, P, Ziino, Ac, Maspero, S, Fanetti, Ac, Moroni, E, Cometti, I, Annulli, Ml, Cecconami, L, Minerba, S, Minicuzzi, A, Zanetti, R, Rosso, S, Patriarca, S, Prandi, R, Sobrato, I, Gilardi, F, Busso, P, Sacchetto, L, Candela, G, Scuderi, T, Crapanzano, G, Taranto, V, Piffer, S, Gentilini, Ma, Rizzello, R, Cappelletti, M, Stracci, F, D'Alò, D, Scheibel, M, Costarelli, D, Spano, F, Rossini, S, Santucci, C, Petrinelli, Am, Solimene, C, Bianconi, F, Brunori, V, Tagliabue, G, Contiero, P, Tittarelli, A, Fabiano, S, Maghini, A, Codazzi, T, Frassoldi, E, Gada, D, di Grazia, L, Ruzza, Mr, Dei Tos AP, Baracco, M, Baracco, S, Bovo, E, Dal Cin, A, Fiore, Ar, Greco, A, Guzzinati, S, Monetti, D, Rosano, A, Stocco, C, Tognazzo, S, Zorzi, M, Merletti, F, Magnani, C, Pastore, G, Terracini, B, Alessi, D, Cena, T, Lazzarato, F, Macerata, V, Maule, M, Mosso, Ml, Sacerdote, C, Cocchioni, M, Pascucci, C, Ponz de Leon, M, Domati, F, Rossi, G, Kaleci, S, Rossi, F, Benatti, P, Roncucci, L, Di Gregorio, C, Magnani, G, Pedroni, M, Maffei, S, Mariani, F, Reggiani-Bonetti, L, Gennaro, V, Benfatto, L, Lando, C, Mazzucco, G, Romanelli, A, Storchi, C, Sala, O, Gabbi, C, and Buzzoni, C.

Published
2016

77. Discrete quantum computation and Lagrange's four-square theorem.

Author

Lacalle, J. and Gatti, L. N.

Subjects
QUANTUM computing, PRIME number theorem, GAUSSIAN integers, QUANTUM states, PRIME numbers
Abstract

We study a problem that arises naturally in the discrete quantum computation model introduced in Gatti and Lacalle (Quantum Inf Process 17:192, 2018). Given an orthonormal system of discrete quantum states of level k (k ∈ N) , can this system be extended to an orthonormal basis of discrete quantum states of the same level? This question turns out to be a difficult problem in number theory with very deep implications. In this article, we focus on the simplest version of the problem, 2-qubit systems with integers (instead of Gaussian integers) as coordinates, but with normalization factor p (p ∈ N ∗) , instead of 2 k , being p a prime number. With these simplifications, we prove the following orthogonal version of Lagrange's four-square theorem: Given a prime number p and v 1 , ⋯ , v k ∈ Z 4 , 1 ≤ k ≤ 3 , such that ‖ v i ‖ 2 = p for all 1 ≤ i ≤ k and ⟨ v i | v j ⟩ = 0 for all 1 ≤ i < j ≤ k , then there exists a vector v = (x 1 , x 2 , x 3 , x 4) ∈ Z 4 such that ⟨ v i | v ⟩ = 0 for all 1 ≤ i ≤ k and ‖ v ‖ 2 = x 1 2 + x 2 2 + x 3 2 + x 4 2 = p. This means that, in Z 4 , any system of orthogonal vectors of norm p can be completed to a basis. Besides, we conjecture that the result holds for every integer norm p ≥ 1 and for every space Z n where n ≡ 0 mod 4 , and that the initial question has a positive answer. [ABSTRACT FROM AUTHOR]

Published
2020
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78. Rice yield estimation using synthetic aperture radar (SAR) and the ORYZA crop growth model: development and application of the system in South and South-east Asian countries.

Author

Setiyono, T. D., Quicho, E. D., Holecz, F. H., Khan, N. I., Romuga, G., Maunahan, A., Garcia, C., Rala, A., Raviz, J., Collivignarelli, F., Gatti, L., Barbieri, M., Phuong, D. M., Minh, V. Q., Vo, Q. T., Intrman, A., Rakwatin, P., Sothy, M., Veasna, T., and Pazhanivelan, S.

Subjects
SYNTHETIC aperture radar, RICE yields, CROP growth, SOUTH Asians, ORYZA, STRUCTURE-activity relationships
Abstract

A rice yield estimation system was developed based on the crop growth model ORYZA and SAR-derived key information such as start of season (SOS) and leaf area growth rate. Results from study sites in South and South-east Asian countries suggest that incorporating remote sensing data, specifically Synthetic aperture radar (SAR), into a process-based crop model improves the spatial distribution of yield estimates. This article highlights the detailed methodology of SAR data incorporation into crop yield simulation and comprehensive validation of yield forecast and estimates in the Philippines, Vietnam, Cambodia, Thailand, and Tamil Nadu, India. Remote sensing data assimilation into a crop model effectively captures the responses of rice crops to environmental conditions over large spatial coverage, which otherwise is practically impossible to achieve. A process-based crop simulation model is used in the system to ensure that climate information is captured, and this provides the capacity to deliver a mid-season yield forecast for national planning and policy for rice. Good agreement between SAR-based yield and crop-cut-based yield and official yield statistics and ensuring efficiency of the processing suggest that the system is a promising solution for the needed timely information on rice yield for application in food security and policies, climate disaster management, and crop insurance programs. [ABSTRACT FROM AUTHOR]

Published
2019
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79. L’evento-Deleuze. Il discorso indiretto libero di François Zourabichvili

Author

Fadini, U, Majer Gatti, G, Gatti, L, Morfino, V, Mormino, G, Pinzolo, L, Silvestri, F, Zaltieri, C, Pinzolo, L., Fadini, U, Majer Gatti, G, Gatti, L, Morfino, V, Mormino, G, Pinzolo, L, Silvestri, F, Zaltieri, C, and Pinzolo, L.

Abstract

Pensare Deleuze secondo Deleuze non comporta un’identificazione simpatetica con l’autore che si commenta, né una mera applicazione al suo pensiero del suo apparato concettuale, ma dovrà piuttosto accogliere l’invito a seguire un movimento logico e ontologico ad un tempo. Così ha fatto François Zourabichvili, che ha attraversato Deleuze seguendo l’evento del suo pensiero a partire, per l’appunto, dal concetto di evento. Ma se questo si produce come frammezzo o tempo morto tra più stati di cose, pensare nell’evento di un pensiero significa stare al centro di un discorso indiretto libero articolato secondo un’univocità polifonica, sorvolarne le ramificazioni e le disgiunzioni. L’evento di cui parla Deleuze, infatti, è altra cosa rispetto all’evento inteso nel senso heideggeriano: non c’è evento del disvelamento dell’ente, né la possibilità della sua chiusura nella rappresentazione, ma punto-zero dell’attualizzazione divergente di tutti i virtuali. Eppure, in Deleuze e Heidegger due cose tanto diverse si dicono allo stesso modo: in fondo, si tratta pur sempre di evento. Il fatto che due problemi diversi si dicano con una sola parola non è semplicemente frutto di una convenzione linguistica: l’evento non può che darsi in modo molteplice e differente. La nozione di “virtuale” consente a Deleuze di affrontare questo problema: il modo di essere dei possibili in quanto, a modo loro, essenti, è la virtualità; l’essere in atto dei virtuali consiste nella loro disposizione in serie divergenti; il pensare diventa mappatura e misurazione di una divergenza e di una distanza. La scrittura filosofica si configura, pertanto, come un esercizio tutt’altro che irenico, che si assume la responsabilità di demarcare e porre delle linee di confine tra concetti prossimi e apparentemente indiscernibili: come opera indiretta libera in cui il movimento discorsivo del concetto si attualizza in un’esplosione di serie divergenti, costruendo linee di amicizia e inimicizia

Published
2017

80. Affective Synchrony and Autonomic Coupling during Cooperation : A Hyperscanning Study

Author

Vanutelli, M, Gatti, L, Angioletti, L, Balconi, M, Vanutelli, Maria Elide, Gatti, Laura, Angioletti, Laura, Balconi, Michela, Vanutelli, M, Gatti, L, Angioletti, L, Balconi, M, Vanutelli, Maria Elide, Gatti, Laura, Angioletti, Laura, and Balconi, Michela

Abstract

Previous research highlighted that during social interactions people shape each other's emotional states by resonance mechanisms and synchronized autonomic patterns. Starting from the idea that joint actions create shared emotional experiences, in the present study a social bond was experimentally induced by making subjects cooperate with each other. Participants' autonomic system activity (electrodermal: Skin conductance level and response: SCL, SCR; cardiovascular indices: Heart rate: HR) was continuously monitored during an attentional couple game. The cooperative motivation was induced by presenting feedback which reinforced the positive outcomes of the intersubjective exchange. 24 participants coupled in 12 dyads were recruited. Intrasubject analyses revealed higher HR in the first part of the task, connoted by increased cognitive demand and arousing social dynamic, while intersubject analysis showed increased synchrony in electrodermal activity after the feedback. Such results encourage the use of hyperscanning techniques to assess emotional coupling in ecological and real-time paradigms.

Published
2017

81. When brains dialogue by synchronized or unsynchronized languages : hyperscanning applications to neuromanagement

Author

Venturella, I, Gatti, L, Vanutelli, M, Balconi, M, I. Venturella, L. Gatti, M.E. Vanutelli, M. Balconi, Venturella, I, Gatti, L, Vanutelli, M, Balconi, M, I. Venturella, L. Gatti, M.E. Vanutelli, and M. Balconi

Abstract

Neuromanagement deals with neuroscience methodological approaches to the management. A management construct is leadership, but objective psychophysiological data in support of it are still missing. The present pilot study aimed to apply the hyperscanning paradigm during a role-played employees' evaluation. Our purpose was to identify lexical and neuro/psychophysiological markers of leader-employee interactions. The sample consisted in paired manager-collaborator couples. Managers were required to use two different communication styles: authoritative vs. cooperative. A conversational analysis permitted to identify main topics to interpret data. Results showed that the interview was more arousing for the employee than the manager. Greater Delta and Theta EEG bands could denote positive valence of personal interactions and company mission topics. Autonomic measures (Skin Conductance Response, SCR and Heart Rate, HR) showed important information related to different leadership style. Results highlight the importance of applying neurosciences to organizational contexts exploring processes related to manager-employee dynamics and communicative style.

Published
2017

83. The Effect of Corporate Reputation, Perceived CSR and Perceived Quality on Intention to Buy: Implications for Brand Management

Author

Gatti L., Snehota I., CARUANA, ALBERT, Gatti L., Caruana A., and Snehota I.

Subjects
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION, ComputerApplications_GENERAL, ComputingMilieux_MISCELLANEOUS
Abstract

Investigates the effect of corporate reputation, perceived CSR and perceived quality on intention to buy in the context of a particular brand of panatone

Published
2010

86. The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases

Author

Bultet, LA, Aguilar-Rodriguez, J, Ahrens, CH, Ahrne, EL, Ai, N, Aimo, L, Akalin, A, Aleksiev, T, Alocci, D, Altenhoff, A, Alves, I, Ambrosini, G, Pedone, PA, Angelina, P, Anisimova, M, Appel, R, Argoud-Puy, G, Arnold, K, Arpat, B, Artimo, P, Ascencao, K, Auchincloss, A, Axelsen, K, Gerritsen, VB, Bairoch, A, Barisal, P, Baratin, D, Barbato, A, Barbie, V, Barras, D, Barreiro, M, Barret, S, Bastian, F, Batista Neto, TM, Baudis, M, Beaudoing, E, Beckmann, JS, Bekkar, AK, Cammoun, LBH, Benmohammed, S, Bernard, M, Bertelli, C, Bertoni, M, Bienert, S, Bignucolo, O, Bilbao, A, Bilican, A, Blank, D, Blatter, M-C, Blum, L, Bocquet, J, Boeckmann, B, Bolleman, JT, Bordoli, L, Bosshard, L, Boucher, G, Bougueleret, L, Boutet, E, Bovigny, C, Bratulic, S, Breuza, L, Bridge, AJ, Britan, A, Brito, F, Frazao, JB, Bruggmann, R, Bucher, P, Burdet, F, Burger, L, Cabello, EM, Gomez, RMC, Calderon, S, Cannarozzi, G, Carl, S, Casas, CC, Catherinet, S, Perier, RC, Charpilloz, C, Chaskar, PD, Chen, W, Pepe, AC, Chopard, B, Chu, HY, Civic, N, Claassen, M, Clottu, S, Colombo, M, Cosandier, I, Coudert, E, Crespo, I, Creus, M, Cuche, B, Cuendet, MA, Cusin, I, Daga, N, Daina, A, Dauvillier, J, David, F, Davydov, I, Ferreira, MDSRM, de Beer, T, de Castro, E, de Santana, C, Delafontaine, J, Delorenzi, M, Delucinge-Vivier, C, Demirel, O, Derham, R, Dermitzakis, EM, Dib, L, Diene, S, Dilek, N, Dilmi, J, Domagalski, MJ, Dorier, J, Dornevil, D, Dousse, A, Dreos, R, Duchen, P, Roggli, PD, Duperret, ID, Durinx, C, Duvaud, S, Engler, R, Frkek, S, Lopez, PE, Fstreicher, A, Excoffier, L, Fabbretti, R, Falcone, J-L, Falquet, L, Famiglietti, ML, Ferreira, A-M, Feuermann, M, Filliettaz, M, Hegel, V, Foucal, A, Franceschini, A, Fucile, G, Gaidatzis, D, Garcia, V, Gasteiger, E, Gateau, A, Gatti, L, Gaudet, P, Gaudinat, A, Gehant, S, Gfeller, D, Gharib, WH, Ghraichy, M, Gidoin, C, Gil, M, Gleizes, A, Gobeill, J, Gonnet, G, Gos, A, Gotz, L, Gouy, A, Grbic, D, Groux, R, Gruaz-Gumowski, N, Grun, D, Gschwind, A, Guex, N, Gupta, S, Getaz, M, Haake, D, Haas, J, Hatzimanikatis, V, Heckel, G, Gardiol, DFH, Hinard, V, Hinz, U, Homicsko, K, Horlacher, O, Hosseini, S-R, Hotz, H-R, Hulo, C, Hundsrucker, C, Ibberson, M, Ilmjarv, S, Ioannidis, V, Ioannidis, P, Iseli, C, Ivanek, R, Iwaszkiewicz, J, Jacquet, P, Jacquot, M, Jagannathan, V, Jan, M, Jensen, J, Johansson, MU, Johner, N, Jungo, F, Junier, T, Kahraman, A, Katsantoni, M, Keller, G, Kerhornou, A, Khalid, F, Klingbiel, D, Kimljenovic, A, Kriventseva, E, Kryuchkova, N, Kumar, S, Kutalik, Z, Kuznetsov, D, Kuzyakiv, R, Lane, L, Lara, V, Ledesma, L, Leleu, M, Lemercier, P, Lew, D, Lieberherr, D, Liechti, R, Lisacek, F, Fischer, H, Litsios, G, Liu, J, Lombardot, T, Mace, A, Maffioletti, S, Mahi, M-A, Maiolo, M, Majjigapu, SR, Malmstrom, L, Mangold, V, Marek, D, Mariethoz, J, Marin, R, Martin, O, Martin, X, Martin-Campos, T, Mary, C, Masclaux, F, Masson, P, Meier, C, Messina, A, Lenoir, MM, Meyer, X, Michel, P-A, Michielin, O, Milanese, A, Missiaglia, E, Perez, JM, Caria, VM, Moret, P, Moretti, S, Morgat, A, Mottaz, A, Mottin, L, Mouscaz, Y, Mueller, M, Murri, R, Mylonas, R, Neuenschwander, S, Nikitin, F, Niknejad, A, Nouspikel, N, Nso, LN, Okoniewski, M, Omasits, U, Paccaud, B, Pachkov, M, Paesano, SG, Pagni, M, Palagi, PM, Pasche, E, Payne, JL, Pedruzzi, I, Peischl, S, Peitsch, M, Perlini, S, Pilbout, S, Podvinec, M, Pohlmann, R, Polizzi, D, Potter, D, Poux, S, Pozzato, M, Pradervand, S, Praz, V, Pruess, M, Pujadas, E, Racle, J, Raschi, M, Ratib, O, Rausell, A, de Laval, VR, Redaschi, N, Rempfer, C, Ren, G, Vandati, RAR, Rib, L, Grognuz, OR, Altimiras, ER, Rivoire, C, Robin, T, Robinson-Rechavi, M, Rodrigues, J, Roechert, B, Roelli, P, Romano, V, Rossier, G, Roth, A, Rougemont, J, Roux, J, Royo, H, Ruch, P, Ruinelli, M, Rustom, M, Sates, A, Roehrig, UF, Rueeger, S, Salamin, N, Sankar, M, Sarkar, N, Saxenhofer, M, Schaeffer, M, Schaerli, Y, Schaper, E, Schmid, A, Schmid, E, Schmid, C, Schmid, M, Schmidt, S, Schmocker, D, Schneider, M, Schuepbach, T, Schwede, T, Schuetz, F, Sengstag, T, Serrano, M, Sethi, A, Shahmirzadi, O, Sigrist, C, Silvestro, D, Simao Neto, FA, Simillion, C, Simonovic, M, Skunca, N, Sluzek, K, Soneson, C, Sprouffske, K, Stadler, M, Staehli, S, Stevenson, B, Stockinger, H, Straszewski, J, Stricker, T, Studer, G, Stutz, A, Suffiotti, M, Sundaram, S, Szklarczyk, D, Szovenyi, P, Tegenfeldt, F, Teixeira, D, Tellenbach, S, Smith, AAT, Tognolli, M, Topolsky, I, Thuong, VDT, Tsantoulis, P, Tzika, AC, Agote, AU, van Nimwegen, E, von Mering, C, Varadarajan, A, Veranneman, M, Verbregue, L, Veuthey, A-L, Vishnyakova, D, Vyas, R, Wagner, A, Walther, D, Wan, HW, Wang, M, Waterhouse, R, Waterhouse, A, Wicki, A, Wigger, L, Wirapati, P, Witschi, U, Wyder, S, Wyler, K, Wuethrich, D, Xenarios, I, Yamada, K, Yan, Z, Yasrebi, H, Zahn, M, Zangger, N, Zdobnov, E, Zerzion, D, Zoete, V, Zoller, S, Bultet, LA, Aguilar-Rodriguez, J, Ahrens, CH, Ahrne, EL, Ai, N, Aimo, L, Akalin, A, Aleksiev, T, Alocci, D, Altenhoff, A, Alves, I, Ambrosini, G, Pedone, PA, Angelina, P, Anisimova, M, Appel, R, Argoud-Puy, G, Arnold, K, Arpat, B, Artimo, P, Ascencao, K, Auchincloss, A, Axelsen, K, Gerritsen, VB, Bairoch, A, Barisal, P, Baratin, D, Barbato, A, Barbie, V, Barras, D, Barreiro, M, Barret, S, Bastian, F, Batista Neto, TM, Baudis, M, Beaudoing, E, Beckmann, JS, Bekkar, AK, Cammoun, LBH, Benmohammed, S, Bernard, M, Bertelli, C, Bertoni, M, Bienert, S, Bignucolo, O, Bilbao, A, Bilican, A, Blank, D, Blatter, M-C, Blum, L, Bocquet, J, Boeckmann, B, Bolleman, JT, Bordoli, L, Bosshard, L, Boucher, G, Bougueleret, L, Boutet, E, Bovigny, C, Bratulic, S, Breuza, L, Bridge, AJ, Britan, A, Brito, F, Frazao, JB, Bruggmann, R, Bucher, P, Burdet, F, Burger, L, Cabello, EM, Gomez, RMC, Calderon, S, Cannarozzi, G, Carl, S, Casas, CC, Catherinet, S, Perier, RC, Charpilloz, C, Chaskar, PD, Chen, W, Pepe, AC, Chopard, B, Chu, HY, Civic, N, Claassen, M, Clottu, S, Colombo, M, Cosandier, I, Coudert, E, Crespo, I, Creus, M, Cuche, B, Cuendet, MA, Cusin, I, Daga, N, Daina, A, Dauvillier, J, David, F, Davydov, I, Ferreira, MDSRM, de Beer, T, de Castro, E, de Santana, C, Delafontaine, J, Delorenzi, M, Delucinge-Vivier, C, Demirel, O, Derham, R, Dermitzakis, EM, Dib, L, Diene, S, Dilek, N, Dilmi, J, Domagalski, MJ, Dorier, J, Dornevil, D, Dousse, A, Dreos, R, Duchen, P, Roggli, PD, Duperret, ID, Durinx, C, Duvaud, S, Engler, R, Frkek, S, Lopez, PE, Fstreicher, A, Excoffier, L, Fabbretti, R, Falcone, J-L, Falquet, L, Famiglietti, ML, Ferreira, A-M, Feuermann, M, Filliettaz, M, Hegel, V, Foucal, A, Franceschini, A, Fucile, G, Gaidatzis, D, Garcia, V, Gasteiger, E, Gateau, A, Gatti, L, Gaudet, P, Gaudinat, A, Gehant, S, Gfeller, D, Gharib, WH, Ghraichy, M, Gidoin, C, Gil, M, Gleizes, A, Gobeill, J, Gonnet, G, Gos, A, Gotz, L, Gouy, A, Grbic, D, Groux, R, Gruaz-Gumowski, N, Grun, D, Gschwind, A, Guex, N, Gupta, S, Getaz, M, Haake, D, Haas, J, Hatzimanikatis, V, Heckel, G, Gardiol, DFH, Hinard, V, Hinz, U, Homicsko, K, Horlacher, O, Hosseini, S-R, Hotz, H-R, Hulo, C, Hundsrucker, C, Ibberson, M, Ilmjarv, S, Ioannidis, V, Ioannidis, P, Iseli, C, Ivanek, R, Iwaszkiewicz, J, Jacquet, P, Jacquot, M, Jagannathan, V, Jan, M, Jensen, J, Johansson, MU, Johner, N, Jungo, F, Junier, T, Kahraman, A, Katsantoni, M, Keller, G, Kerhornou, A, Khalid, F, Klingbiel, D, Kimljenovic, A, Kriventseva, E, Kryuchkova, N, Kumar, S, Kutalik, Z, Kuznetsov, D, Kuzyakiv, R, Lane, L, Lara, V, Ledesma, L, Leleu, M, Lemercier, P, Lew, D, Lieberherr, D, Liechti, R, Lisacek, F, Fischer, H, Litsios, G, Liu, J, Lombardot, T, Mace, A, Maffioletti, S, Mahi, M-A, Maiolo, M, Majjigapu, SR, Malmstrom, L, Mangold, V, Marek, D, Mariethoz, J, Marin, R, Martin, O, Martin, X, Martin-Campos, T, Mary, C, Masclaux, F, Masson, P, Meier, C, Messina, A, Lenoir, MM, Meyer, X, Michel, P-A, Michielin, O, Milanese, A, Missiaglia, E, Perez, JM, Caria, VM, Moret, P, Moretti, S, Morgat, A, Mottaz, A, Mottin, L, Mouscaz, Y, Mueller, M, Murri, R, Mylonas, R, Neuenschwander, S, Nikitin, F, Niknejad, A, Nouspikel, N, Nso, LN, Okoniewski, M, Omasits, U, Paccaud, B, Pachkov, M, Paesano, SG, Pagni, M, Palagi, PM, Pasche, E, Payne, JL, Pedruzzi, I, Peischl, S, Peitsch, M, Perlini, S, Pilbout, S, Podvinec, M, Pohlmann, R, Polizzi, D, Potter, D, Poux, S, Pozzato, M, Pradervand, S, Praz, V, Pruess, M, Pujadas, E, Racle, J, Raschi, M, Ratib, O, Rausell, A, de Laval, VR, Redaschi, N, Rempfer, C, Ren, G, Vandati, RAR, Rib, L, Grognuz, OR, Altimiras, ER, Rivoire, C, Robin, T, Robinson-Rechavi, M, Rodrigues, J, Roechert, B, Roelli, P, Romano, V, Rossier, G, Roth, A, Rougemont, J, Roux, J, Royo, H, Ruch, P, Ruinelli, M, Rustom, M, Sates, A, Roehrig, UF, Rueeger, S, Salamin, N, Sankar, M, Sarkar, N, Saxenhofer, M, Schaeffer, M, Schaerli, Y, Schaper, E, Schmid, A, Schmid, E, Schmid, C, Schmid, M, Schmidt, S, Schmocker, D, Schneider, M, Schuepbach, T, Schwede, T, Schuetz, F, Sengstag, T, Serrano, M, Sethi, A, Shahmirzadi, O, Sigrist, C, Silvestro, D, Simao Neto, FA, Simillion, C, Simonovic, M, Skunca, N, Sluzek, K, Soneson, C, Sprouffske, K, Stadler, M, Staehli, S, Stevenson, B, Stockinger, H, Straszewski, J, Stricker, T, Studer, G, Stutz, A, Suffiotti, M, Sundaram, S, Szklarczyk, D, Szovenyi, P, Tegenfeldt, F, Teixeira, D, Tellenbach, S, Smith, AAT, Tognolli, M, Topolsky, I, Thuong, VDT, Tsantoulis, P, Tzika, AC, Agote, AU, van Nimwegen, E, von Mering, C, Varadarajan, A, Veranneman, M, Verbregue, L, Veuthey, A-L, Vishnyakova, D, Vyas, R, Wagner, A, Walther, D, Wan, HW, Wang, M, Waterhouse, R, Waterhouse, A, Wicki, A, Wigger, L, Wirapati, P, Witschi, U, Wyder, S, Wyler, K, Wuethrich, D, Xenarios, I, Yamada, K, Yan, Z, Yasrebi, H, Zahn, M, Zangger, N, Zdobnov, E, Zerzion, D, Zoete, V, and Zoller, S

Abstract

The SIB Swiss Institute of Bioinformatics (www.isb-sib.ch) provides world-class bioinformatics databases, software tools, services and training to the international life science community in academia and industry. These solutions allow life scientists to turn the exponentially growing amount of data into knowledge. Here, we provide an overview of SIB's resources and competence areas, with a strong focus on curated databases and SIB's most popular and widely used resources. In particular, SIB's Bioinformatics resource portal ExPASy features over 150 resources, including UniProtKB/Swiss-Prot, ENZYME, PROSITE, neXtProt, STRING, UniCarbKB, SugarBindDB, SwissRegulon, EPD, arrayMap, Bgee, SWISS-MODEL Repository, OMA, OrthoDB and other databases, which are briefly described in this article.

Published
2016

90. INVESTIGATING CORE EXCITATIONS IN THE 131Sn ONE-VALENCE-HOLE NUCLEUS.

Author

BOTTONIA, S., ISKRA, Ł. W., LEONI, S., FORNAL, B., COLÒ, G., BAZZACCO, D., GATTI, L., BENZONI, G., BLANC, A., BOCCHI, G., BRACCO, A., CIEPLICKA-ORYNCZAK, N., CRESPI, F. C. L., JENTSCHEL, M., KÖSTER, U., MICHELAGNOLI, C., MILLION, B., MUTTI, P., SOLDNER, T., and UR, C. A.

Subjects
DEGREES of freedom, CORE & periphery (Economic theory), NEUTRONS
Abstract

The structure of the 131Sn nucleus was studied at the Institut Laue-Langevin by prompt-delayed -ray spectroscopy across the 0.3 μs, 23/2-isomeric state at 4670 keV, following cold-neutron-induced fission of 235U and 241Pu targets. New -ray transitions are observed and the results are compared with theoretical calculations performed with the Hybrid Configuration Mixing Model. The latter suggests that the majority of the states can be well-described in terms of couplings between single-hole degrees of freedom and 132Sn core excitations, pointing to a robust neutron shell closure at N = 82. [ABSTRACT FROM AUTHOR]

Published
2019
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92. I TUMORI IN ITALIA - RAPPORTO 2013: Tumori multipli = ITALIAN CANCER FIGURES - REPORT 2013: Multiple tumours

Author

Adamo, Ms, Alessi, D, Aletta, P, Amodio, R, Andreone, S, Angelin, T, Anghinoni, E, Annulli, Ml, Antonini, S, Artioli, Me, Autelitano, M, Balducci, C, Balottari, P, Baracco, M, Battisti, W, Bella, F, Bellatalla, C, Belluardo, C, Benatti, P, Benedetto, G, Benfatto, L, Bernazza, E, Bianconi, F, Biavati, P, Bidoli, E, Birri, S, Bizzoco, S, Bonelli, L, Bonini, A, Borciani, E, Bovo, E, Bozzani, F, Bozzeda, A, Braghiroli, B, Brucculeri, Ma, Brunori, V, Bucalo, G, Bucchi, L, Bugliarello, E, Bulatko, A, Busco, S, Busso, P, Buzzoni, C, Calabretta, L, Caldarella, A, Candela, G, Canu, L, Cappelletti, M, Caprara, L, Carboni, D, Carletti, N, Caroli, S, Carone, S, Cascio, Ma, Cascone, G, Casella, C, Castaing, M, Cecconami, L, Celesia, Mv, Cena, T, Cercato, Mc, Cesaraccio, R, Chiesa, R, Cirilli, C, Civaschi, A, Cocchioni, Mario, Codazzi, T, Cogno, R, Colamartini, A, Colanino Ziino, A, Cometti, I, Contiero, P, Contrino, Ml, Corbinelli, A, Cordaro, C, Corti, M, Costa, A, Costarelli, D, Cremone, L, Crocetti, E, Curatella, S, Cusimano, R, D'Alò, D, D'Angelo, S, Dal Cappello, T, Dal Cin, A, Dal Maso, L, Dall'Acqua, M, Dalsasso, F, Davini, C, De Dottori, M, De Maria, V, De Santis, E, De Valiere, E, Dei Tos AP, Demurtas, G, Devigli, E, Di Felice, E, di Grazia, L, Di Gregorio, C, Di Prima, A, Distefano, R, Doa, N, Domati, F, Fabiano, S, Facchinelli, G, Falcini, F, Falk, M, Fanetti, Ac, Fattoruso, S, Federico, M, Ferrari, L, Ferretti, S, Fidelbo, M, Filipazzi, L, Fiore, Ar, Fiori, G, Foca, F, Forgiarini, O, Frasca, G, Frassoldi, E, Frizza, J, Fusco, M, Gada, D, Garrone, E, Gasparotti, C, Gatti, L, Gaudiano, C, Gennaro, V, Gentilini, M, Gerevini, C, Ghilardi, S, Ghisleni, S, Giacomin, A, Giavazzi, L, Gilardi, F, Giorgetti, S, Giubelli, C, Giuliani, O, Giurdanella, Mc, Gola, G, Goldoni, Ca, Golizia, Mg, Grandi, L, Greco, A, Guarda, L, Guttadauro, A, Guzzinati, S, Iachetta, F, Iannelli, A, Ieni, A, Intrieri, T, Kaleci, S, La Rosa, F, Lando, C, Lavecchia, Am, Lazzarato, F, Leone, A, Leone, R, Lonati, F, Lottero, B, Lucchi, S, Luminari, S, Macci, L, Macerata, V, Madeddu, A, Maffei, S, Maghini, A, Magnani, C, Magnani, G, Magoni, M, Mameli, G, Mancini, S, Mancuso, P, Mangone, L, Manneschi, G, Mannino, R, Mannino, S, Marani, E, Mariani, F, Martorana, C, Marzola, L, Maspero, S, Maule, M, Mazzei, A, Mazzoleni, G, Mazzucco, G, Melcarne, A, Merletti, F, Michiara, M, Migliari, E, Minerba, S, Minicuzzi, A, Mizzi, M, Monetti, D, Morana, G, Moroni, E, Mosso, Ml, Muni, A, Mura, F, Natali, M, Nemcova, L, Nicita, C, Ocello, C, Paci, E, Pala, F, Palumbo, M, Panico, M, Pannozzo, F, Pascucci, Cristiana, Pastore, G, Patriarca, S, Pedroni, M, Pellegri, C, Perrotta, C, Pesce, P, Petrinelli, Am, Petrucci, C, Pezzarossi, A, Piffer, S, Pintori, N, Pirani, M, Pirino, D, Pironi, V, Ponz de Leon, M, Prandi, R, Prazzoli, R, Preto, L, Puleio, M, Puppo, A, Quaglia, A, Quarta, F, Quattrocchi, M, Raho, Am, Ramazzotti, V, Rashid, I, Ravaioli, A, Ravazzolo, B, Ravegnani, M, Reggiani Bonetti, L, Ribaudo, M, Rinaldi, E, Ricci, P, Rizzello, R, Rollo, Pc, Roncucci, L, Rosano, A, Rossi, F, Rossi, G, Rossi, M, Rossini, S, Rosso, S, Rudisi, G, Ruggeri, Mg, Russo, Ag, Russo, M, Sacchettini, C, Sacco, G, Sacerdote, C, Salvatore, S, Salvi, O, Sampietro, G, Sandrini, M, Santucci, C, Scheibel, M, Schiacchitano, S, Sciacca, S, Sciacchitano, C, Scuderi, T, Sechi, O, Seghini, P, Senatore, G, Serafini, G, Serraino, D, Sgargi, P, Sigona, A, Sini, Gm, Sobrato, I, Soddu, M, Solimene, C, Spano, F, Spata, E, Sperduti, I, Staiti, R, Stocco, C, Stracci, F, Sunseri, R, Sardo, As, Tagliabue, G, Tamburo, L, Tamburrino, S, Tanzarella, M, Terracini, B, Tessandori, R, Tisano, F, Tittarelli, A, Tognazzo, S, Torrisi, A, Traina, A, Trapani, C, Tschugguel, B, Tumino, R, Usala, M, Vacirca, S, Valerio, O, Valla, K, Varvarà, M, Vasquez, E, Vassante, B, Vattiato, R, Vercelli, M, Vercellino, Pc, Vicentini, M, Villa, M, Vitale, F, Vitale, Mf, Vitali, B, Vitarelli, Susanna, Zanchi, A, Zanetti, R, Zani, G, Zanier, L, Zappa, M, Zarcone, M, Zevola, A, Zucchetto, A, and Zucchi, A.

Published
2013

94. An operational remote sensing based service for rice production estimation at national scale

Author

Holecz, F., Barbieri, M., Collivignarelli, F., Gatti, L., Nelson, A.D., Setiyono, T.D., Boschetti, M., Manfron, G., Brivio, P.A., Quilang, E.J.P., Obico, M.R., Minh, V.Q., Kieu, D.P., Huu, Q.N., Veasna, T., Intrman, A., Wahyunto, P., Pazhanivelan, S., Faculty of Geo-Information Science and Earth Observation, Department of Natural Resources, and UT-I-ITC-FORAGES

Subjects
ADLIB-ART-4799
Published
2013

97. Relationship between Helicobacter pylori detection and an increased risk of infection in childhood

Author

Venerando, R., Rasmussen, L. T., Labio, R. W., Gatti, L. L., Francisco, O., Viani, G. A., Luciana Rivera, and Payao, S. L. M.

Subjects
PCR, Helicobacter pylori, Tp53 polymorphims, childhood
Abstract

The risk of developing gastric cancer is believed to be related to differences among Helicobacter pylori strains and the inflammatory responses mediated by host genetic factors. H. pylori infection is acquired at an early age and in the absence of appropriate antibiotic therapy, it generally persists for life. Tp53 gene regulates the transcription of several cytokines and chemokines involved in innate immunity and its action may be influenced by the presence of different H. pylori strains. The present study aimed to detect H. pylori in pediatric patients, to access Tp53 polymorphism at codon 72 and to correlate such findings with age and histopathological results. Three hundred and forty-two patients were analyzed. DNA from their gastric biopsies was extracted and the detection of H. pylori was performed through polymerase chain reaction assays, urease test and histopathologic examination. Allelic discrimination of SNP rs1042522 (Tp53) was performed by real-time polymerase chain reaction. Our results suggest a possible relationship between the presence of H. pylori and chronic gastritis in children and young patients, and showed a significant association between ageing and positivity for H. pylori. It was verified that patients aged < 10 years were 1.3 times more likely to have infection by H. pylori when compared with those aged > 10 years. Finally, no association was found between Tp53 polymorphisms and the presence of H. pylori.

Published
2012

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