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1. Neonatal Facial Pain Assessment Combining Hand-Crafted and Deep Features

Author

Celona, L, Manoni, L, Manoni, L., Celona, L, Manoni, L, and Manoni, L.

Abstract

In this paper we evaluate the combination of hand-crafted and deep learning-based features for neonatal pain assessment. To this end we consider two hand-crafted descriptors, i.e. Local Binary Patterns (LBP) and Histogram of Oriented Gradients (HOG), and features extracted from two pre-trained Convolutional Neural Networks (CNNs). Experimental results on the publicly available Infant Classification Of Pain Expressions (COPE) database show competitive results compared to previous methods.

Published
2017

9. Natural killer cell regeneration after transplantation with mafosfamide purged autologous bone marrow

Author

Camillo Almici, Manoni, L., Carlo-Stella, C., Garau, D., Cottafavi, L., and Rizzoli, V.

Subjects
Adult, Male, Lymphoma, Non-Hodgkin, Bone Marrow Purging, Cell Count, Middle Aged, Precursor Cell Lymphoblastic Leukemia-Lymphoma, Combined Modality Therapy, Killer Cells, Natural, Leukemia, Myeloid, Acute, Antineoplastic Combined Chemotherapy Protocols, Humans, Female, Cyclophosphamide, Bone Marrow Transplantation
Abstract

Autologous bone marrow transplantation (ABMT) is used increasingly for the treatment of acute leukemias, lymphomas and solid tumors. Since ABMT is burdened by high risk of relapse, mafosfamide or 4-hydroperoxycyclophosphamide chemical marrow purging is employed. Mafosfamide acts by exerting a potent cytotoxic effect and by promoting apoptosis of leukemic cells. A third proposed mechanism of action involves an effect on immune regeneration in vivo. It was the aim of this study to investigate natural killer (NK) cell regeneration in a group of patients undergoing mafosfamide-purged ABMT. Fifteen patients (8 acute myelogenous leukemia, AML; 4 acute lymphoblastic leukemia, ALL; 3 non-Hodgkin's lymphoma, NHL) were treated with high-dose chemotherapy followed by transplantation with marrow purged with mafosfamide. Prior to ABMT and at different intervals thereafter, NK cell number and function were studied by evaluating the percentage of circulating CD16 positive cells and cytotoxic activity against the leukemic cell line, K562. In comparison to pre-ABMT values, AML patients showed a significant increase in cytotoxic activity, expressed as percentage of chromium release (42.5 +/- 3 vs 32.5 +/- 6, Por = 0.025 at 4 months) which still persisted at 12 months post-ABMT (54 +/- 6, Por = 0.05). The behavior of NK functional activity was paralleled by an increase of the percentage of CD16-positive cells (8.4 +/- 2.2 vs 5 +/- 1.3, Por = 0.05 at 4 months; 12.8 +/- 2.4, Por = 0.005 at 12 months post-ABMT). Similar significant and long-lasting increments in NK cells were also found in NHL patients.(ABSTRACT TRUNCATED AT 250 WORDS)

Published
1995

10. Study of celestial/inertial test facility Final report

Author

Manoni, L and Sonneman, G

Subjects
Facilities, Research, And Support
Abstract

Test facility and equipment for evaluation of optical sensors employed in celestial navigation and guidance systems

Published
1966

12. Using concept mapping in the development of the EU-PAD framework (EUropean-Physical Activity Determinants across the life course): a DEDIPAC-study.

Author

Condello, G., Ling, Fiona C.M., Bianco, A., Chastin, S., Cardon, G., Ciarapica, D., Conte, D., Cortis, C., De Cramer, M., Dii Blasio, A., Gjaka, M., Hansen, S., Holdsworth, M., Lacoviello, L., Izzicupo, P., Jaeschke, L., Leone, L., Manoni, L., Menescardi, C., Migliaccio, S., Nazare, J-A., Perchoux, C., Pesce, C., Pierik, F., Pischon, T., Polito, A., Puggina, A., Sannella, A., Schlicht, W., Schulz, H., Simon, C., Steinbrecher, A., MacDonncha, C., Capranica, L., Condello, G., Ling, Fiona C.M., Bianco, A., Chastin, S., Cardon, G., Ciarapica, D., Conte, D., Cortis, C., De Cramer, M., Dii Blasio, A., Gjaka, M., Hansen, S., Holdsworth, M., Lacoviello, L., Izzicupo, P., Jaeschke, L., Leone, L., Manoni, L., Menescardi, C., Migliaccio, S., Nazare, J-A., Perchoux, C., Pesce, C., Pierik, F., Pischon, T., Polito, A., Puggina, A., Sannella, A., Schlicht, W., Schulz, H., Simon, C., Steinbrecher, A., MacDonncha, C., and Capranica, L.

Abstract

Background A large proportion of European children, adults and older adults do not engage in sufficient physical activity (PA). Understanding individual and contextual factors associated with PA behaviours is essential for the identification and implementation of effective preventative environments, policies, and programmes that can promote an active lifestyle across life course and can potentially improve health. The current paper intends to provide 1) a multi-disciplinary, Pan-European and life course view of key determinants of PA behaviours and 2) a proposal of how these factors may cluster. Methods After gathering a list of 183 potential PA behaviours-associated factors and a consensus meeting to unify/consolidate terminology, a concept mapping software was used to collate European experts’ views of 106 identified factors for youth (<19 years), adults (19–64 years), and older adults (≥65 years). The analysis evaluated common trends in the clustering of factors and the ratings of the distinct factors’ expected modifiability and population-level impact on PA behaviours across the life course. Priority for research was also assessed for each cluster. Results The concept mapping resulted in six distinct clusters, broadly merged in two themes: 1) the ‘Person’, which included clusters ‘Intra-Personal Context and Wellbeing’ and ‘Family and Social Economic Status’ (42 % of all factors) and 2) the ‘Society’, which included the remaining four clusters ‘Policy and Provision’, ‘Cultural Context and Media’, ‘Social Support and Modelling’, and ‘Supportive Environment’ (58 % of all factors). Overall, 25 factors were rated as the most impactful on PA behaviours across the life course and being the most modifiable. They were mostly situated in the ‘Intra-Personal Context and Wellbeing’ cluster. Furthermore, 16 of them were rated as top priority for research. Conclusions The current framework provides a preliminary overview of factors which may account for PA behaviour across th

13. Neonatal Facial Pain Assessment Combining Hand-Crafted and Deep Features

Author

Luca Manoni, Luigi Celona, Celona, L, and Manoni, L

Subjects
Computer science, Local binary patterns, education, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Neonatal pain, Convolutional Neural Network, 02 engineering and technology, 01 natural sciences, Convolutional neural network, 010309 optics, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Facial pain, Feature fusion, Features reduction, business.industry, Deep learning, Hand-crafted feature, Pattern recognition, Transfer learning, Neonatal pain assessment, Histogram of oriented gradients, 020201 artificial intelligence & image processing, Artificial intelligence, business, Transfer of learning
Abstract

In this paper we evaluate the combination of hand-crafted and deep learning-based features for neonatal pain assessment. To this end we consider two hand-crafted descriptors, i.e. Local Binary Patterns (LBP) and Histogram of Oriented Gradients (HOG), and features extracted from two pre-trained Convolutional Neural Networks (CNNs). Experimental results on the publicly available Infant Classification Of Pain Expressions (COPE) database show competitive results compared to previous methods.

Published
2017
Full Text
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14. Using concept mapping in the development of the EU-PAD framework (EUropean-Physical Activity Determinants across the life course): a DEDIPAC-study

Author

Cristina Menescardi, Fiona Chun Man Ling, Caterina Pesce, Greet Cardon, Astrid Steinbrecher, Masar Gjaka, Licia Iacoviello, Marieke De Craemer, Ciaran MacDonncha, Laura Capranica, Silvia Migliaccio, Antonino Bianco, Alessandra Sannella, Michelle Holdsworth, Daniele Conte, Pascal Izzicupo, Holger Schulz, Liliana Leone, Tobias Pischon, Cristina Cortis, Camille Perchoux, Anna Puggina, Lina Jaeschke, Sebastien F. M. Chastin, Livia Manoni, Giancarlo Condello, Chantal Simon, Frank H. Pierik, Angela Polito, Wolfgang Schlicht, Julie Anne Nazare, Andrea Di Blasio, Sylvia Hansen, Donatella Ciarapica, Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National de la Recherche Agronomique (INRA), Condello, G, Ling, F, Bianco, A, Chastin, S, Cardon, G, Ciarapica, D, Conte, D, Cortis, C, De Craemer, M, Di Blasio, A, Gjaka, M, Hansen, S, Holdsworth, M, Iacoviello, L, Izzicupo, P, Jaeschke, L, Leone, L, Manoni, L, Menescardi, C, Migliaccio, S, Nazare, J, Perchoux, C, Pesce, C, Pierik, F, Pischon, T, Polito, A, Puggina, A, Sannella, A, Schlicht, W, Schulz, H, Simon, C, Steinbrecher, A, Macdonncha, C, and Capranica, L

Subjects
Gerontology, Male, Youth, Urban Mobility & Environment, 2016 Urban Mobility & Environment, [SDV]Life Sciences [q-bio], Applied psychology, Health Behavior, Psychological intervention, Poison control, B400, INTERNET-BASED SURVEYS, A900, 0302 clinical medicine, QUALITY-OF-LIFE, sedentary behavior, Medicine and Health Sciences, DUTCH EXPERTS, Medicine, Cluster Analysis, 030212 general & internal medicine, older-adults, Older adult, science, response, exercise, lcsh:Public aspects of medicine, 030503 health policy & services, SEDENTARY BEHAVIOR, Human factors and ergonomics, SCIENCE, Middle Aged, Public, Priority for, Europe, Health, PUBLIC-HEALTH, Older adults, Life course approach, Female, Factors, Active lifestyles, Adults, Priority for research, Public Health, 0305 other medical science, Environment & Sustainability, Research Article, Adult, Consensus, Adolescent, MIXED-METHODS APPROACH, EXERCISE, Context (language use), Urbanisation, public-health, Environment, RESPONSE RATE, White People, Environmental & Occupational Health, 03 medical and health sciences, Social support, Young Adult, Quality of life (healthcare), mixed-methods approach, Humans, OLDER-ADULTS, Socioeconomic status, Life Style, Active lifestyle, Aged, research, business.industry, dutch experts, Public Health, Environmental and Occupational Health, Factor, lcsh:RA1-1270, internet-based surveys, rate, Socioeconomic Factors, Cardiovascular and Metabolic Diseases, quality-of-life, SUMS - Sustainable Urban Mobility and Safety, ELSS - Earth, Life and Social Sciences, business
Abstract

International audience; Background: A large proportion of European children, adults and older adults do not engage in sufficient physical activity ( PA). Understanding individual and contextual factors associated with PA behaviours is essential for the identification and implementation of effective preventative environments, policies, and programmes that can promote an active lifestyle across life course and can potentially improve health. The current paper intends to provide 1) a multi-disciplinary, Pan-European and life course view of key determinants of PA behaviours and 2) a proposal of how these factors may cluster. Methods: After gathering a list of 183 potential PA behaviours-associated factors and a consensus meeting to unify/consolidate terminology, a concept mapping software was used to collate European experts' views of 106 identified factors for youth (\textless 19 years), adults ( 19-64 years), and older adults (\textgreater= 65 years). The analysis evaluated common trends in the clustering of factors and the ratings of the distinct factors' expected modifiability and population-level impact on PA behaviours across the life course. Priority for research was also assessed for each cluster. Results: The concept mapping resulted in six distinct clusters, broadly merged in two themes: 1) the 'Person', which included clusters 'Intra-Personal Context and Wellbeing' and 'Family and Social Economic Status' ( 42 % of all factors) and 2) the 'Society', which included the remaining four clusters 'Policy and Provision', 'Cultural Context and Media', 'Social Support and Modelling', and 'Supportive Environment' ( 58 % of all factors). Overall, 25 factors were rated as the most impactful on PA behaviours across the life course and being the most modifiable. They were mostly situated in the 'Intra-Personal Context and Wellbeing' cluster. Furthermore, 16 of them were rated as top priority for research. Conclusions: The current framework provides a preliminary overview of factors which may account for PA behaviour across the life course and are most relevant to the European community. These insights could potentially be a foundation for future Pan-European research on how these factors might interact with each other, and assist policy makers to identify appropriate interventions to maximize PA behaviours and thus the health of European citizens.

Published
2016
Full Text
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15. SuperB: A High-Luminosity Asymmetric e+ e- Super Flavor Factory. Conceptual Design Report

Author

M. BONA, J. GARRA TIC´O, E. GRAUG´ES POUS, P. COLANGELO, F. DE FAZIO, A. PALANO, M. MANGHISONI, V. RE, G. TRAVERSI, M. BRUSCHI, B. GIACOBBE, R. SPIGHI, A. Y. BARNIAKOV, M. Y. BARNIAKOV, V. E. BLINOV, V. P. DRUZHININ, V. B. GOLUBEV, S. A. KONONOV, I. A. KOOP, E. A. KRAVCHENKO, E. B. LEVICHEV, S. A. NIKITIN, A. P. ONUCHIN, P. A. PIMINOV, S. I. SEREDNYAKOV, D. N. SHATILOV, Y. M. SHATUNOV, Y. I. SKOVPEN, E. P. SOLODOV, C. H. CHENG, B. ECHENARD, F. FANG, D. G. HITLIN, F. C. PORTER, R. FLEISCHER, G. F. GIUDICE, T. HURTH, M. MANGANO, G. MANCINELLI, B. T. MEADOWS, A. J. SCHWARTZ, M. D. SOKOLOFF, T. HAAS, R. MANKEL, P. BALL, M. PAPPAGALLO, M. R. PENNINGTON, W. GRADL, S. PLAYFER, A. ABADA, D. BECIREVIC, S. DESCOTES GENON, O. P`ENE, D. ANDREOTTI, M. ANDREOTTI, D. BETTONI, C. BOZZI, R. CALABRESE, A. CECCHI, G. CIBINETTO, P. FRANCHINI, E. LUPPI, M. NEGRINI, A. PETRELLA, L. PIEMONTESE, E. PRENCIPE, V. SANTORO, G. STANCARI, F. ANULLI, R. BALDINI FERROLI, M. E. BIAGINI, M. BOSCOLO, A. CALCATERRA, A. DRAGO, G. FINOCCHIARO, S. GUIDUCCI, G. ISIDORI, S. PACETTI, P. PATTERI, I. M. PERUZZI, M. PICCOLO, M. A. PREGER, P. RAIMONDI, M. RAMA, C. VACCAREZZA, A. ZALLO, M. ZOBOV, R. DE SANGRO, A. BUZZO, M. LO VETERE, M. MACR´, 305, M. R. MONGE, S. PASSAGGIO, C. PATRIGNANI, E. ROBUTTI, S. TOSI, A. LAZZARO, F. PALOMBO, G. BUCHALLA, G. D’AMBROSIO, G. RICCIARDI, I. BIGI, C. P. JESSOP, J. M. LOSECCO, N. ARNAUD, R. CHEHAB, Y. FEDALA, F. POLCI, P. ROUDEAU, V. SORDINI, V. SOSKOV, A. STOCCHI, A. VARIOLA, A. VIVOLI, G. WORMSER, F. ZOMER, A. BERTOLIN, R. BRUGNERA, N. GAGLIARDI, A. GAZ, M. MARGONI, M. MORANDIN, M. POSOCCO, M. ROTONDO, F. SIMONETTO, R. STROILI, G. CALDERINI, L. RATTI, V. SPEZIALI, M. BIASINI, R. COVARELLI, E. MANONI, L. SERVOLI, C. ANGELINI, G. BATIGNANI, S. BETTARINI, F. BOSI, M. CARPINELLI, R. CENCI, A. CERVELLI, M. DELL’ORSO, F. FORTI, P. GIANNETTI, M. GIORGI, A. LUSIANI, G. MARCHIORI, M. MASSA, M. A. MAZUR, F. MORSANI, N. NERI, E. PAOLONI, F. RAFFAELLI, G. RIZZO, J. WALSH, E. BARACCHINI, F. BELLINI, G. CAVOTO, A. D’ORAZIO, D. DEL RE, E. DI MARCO, R. FACCINI, F. FERRAROTTO, M. GASPERO, P. JACKSON, G. MARTINELLI, M. A. MAZZONI, S. MORGANTI, G. PIREDDA, F. RENGA, L. SILVESTRINI, C. VOENA, L. CATANI, A. DI CIACCIO, R. MESSI, E. SANTOVETTI, A. SATTA, M. CIUCHINI, V. LUBICZ, X. CHEN, H. LIU, W. PARK, M. PUROHIT, A. TRIVEDI, R. M. WHITE, J. R. WILSON, M. T. ALLEN, D. ASTON, R. BARTOLDUS, S. J. BRODSKY, Y. CAI, J. COLEMAN, M. R. CONVERY, S. DEBARGER, J. C. DINGFELDER, G. P. DUBOIS FELSMANN, S. ECKLUND, A. S. FISHER, G. HALLER, S. A. HEIFETS, J. KAMINSKI, M. H. KELSEY, M. L. KOCIAN, D. W. G. S. LEITH, N. LI, S. LUITZ, V. LUTH, D. MACFARLANE, R. MESSNER, D. R. MULLER, Y. NOSOCHKOV, A. NOVOKHATSKI, M. PIVI, B. N. RATCLIFF, A. ROODMAN, J. SCHWIENING, J. SEEMAN, A. SNYDER, M. SULLIVAN, J. VA’VRA, U. WIENANDS, W. WISNIEWSKI, F. BIANCHI, D. GAMBA, P. GAMBINO, F. MARCHETTO, E. MENICHETTI, R. MUSSA, M. PELLICCIONI, G. F. DALLA BETTA, M. BOMBEN, L. BOSISIO, C. CARTARO, L. LANCERI, L. VITALE, V. AZZOLINI, J. BERNABEU, N. LOPEZ MARCH, F. MARTINEZ VIDAL, D. A. MILANES, A. OYANGUREN, P. PARADISI, A. PICH, M. A. SANCHIS LOZANO, R. KOWALEWSKI, J. M. RONEY, J. BACK, T. J. GERSHON, P. F. HARRISON, T. E. LATHAM, G. B. MOHANTY, M. PIERINI, DE CASTRO, STEFANO, FACCIOLI, PIETRO, GABRIELLI, ALESSANDRO, SEMPRINI CESARI, NICOLA, VILLA, MAURO, ZOCCOLI, ANTONIO, M. BONA, J. GARRA TIC´O, E. GRAUG´ES POUS, P. COLANGELO, F. DE FAZIO, A. PALANO, M. MANGHISONI, V. RE, G. TRAVERSI, M. BRUSCHI, S. DE CASTRO, P. FACCIOLI, A. GABRIELLI, B. GIACOBBE, N. SEMPRINI CESARI, R. SPIGHI, M. VILLA, A. ZOCCOLI, A.Y. BARNIAKOV, M.Y. BARNIAKOV, V.E. BLINOV, V.P. DRUZHININ, V.B. GOLUBEV, S.A. KONONOV, I.A. KOOP, E.A. KRAVCHENKO, E.B. LEVICHEV, S.A. NIKITIN, A.P. ONUCHIN, P.A. PIMINOV, S.I. SEREDNYAKOV, D.N. SHATILOV, Y.M. SHATUNOV, Y.I. SKOVPEN, E.P. SOLODOV, C.-H. CHENG, B. ECHENARD, F. FANG, D.G. HITLIN, F.C. PORTER, R. FLEISCHER, G.F. GIUDICE, T. HURTH, M. MANGANO, G. MANCINELLI, B.T. MEADOWS, A.J. SCHWARTZ, M.D. SOKOLOFF, T. HAAS, R. MANKEL, P. BALL, M. PAPPAGALLO, M.R. PENNINGTON, W. GRADL, S. PLAYFER, A. ABADA, D. BECIREVIC, S. DESCOTES-GENON, O. P`ENE, D. ANDREOTTI, M. ANDREOTTI, D. BETTONI, C. BOZZI, R. CALABRESE, A. CECCHI, G. CIBINETTO, P. FRANCHINI, E. LUPPI, M. NEGRINI, A. PETRELLA, L. PIEMONTESE, E. PRENCIPE, V. SANTORO, G. STANCARI, F. ANULLI, R. BALDINI-FERROLI, M.E. BIAGINI, M. BOSCOLO, A. CALCATERRA, A. DRAGO, G. FINOCCHIARO, S. GUIDUCCI, G. ISIDORI, S. PACETTI, P. PATTERI, I.M. PERUZZI, M. PICCOLO, M.A. PREGER, P. RAIMONDI, M. RAMA, C. VACCAREZZA, A. ZALLO, M. ZOBOV, R. DE SANGRO, A. BUZZO, M. LO VETERE, M. MACR´&#305, and M.R. MONGE, S. PASSAGGIO, C. PATRIGNANI, E. ROBUTTI, S. TOSI, A. LAZZARO, F. PALOMBO, G. BUCHALLA, G. D’AMBROSIO, G. RICCIARDI, I. BIGI, C.P. JESSOP, J.M. LOSECCO, N. ARNAUD, R. CHEHAB, Y. FEDALA, F. POLCI, P. ROUDEAU, V. SORDINI, V. SOSKOV, A. STOCCHI, A. VARIOLA, A. VIVOLI, G. WORMSER, F. ZOMER, A. BERTOLIN, R. BRUGNERA, N. GAGLIARDI, A. GAZ, M. MARGONI, M. MORANDIN, M. POSOCCO, M. ROTONDO, F. SIMONETTO, R. STROILI, G. CALDERINI, L. RATTI, V. SPEZIALI, M. BIASINI, R. COVARELLI, E. MANONI, L. SERVOLI, C. ANGELINI, G. BATIGNANI, S. BETTARINI, F. BOSI, M. CARPINELLI, R. CENCI, A. CERVELLI, M. DELL’ORSO, F. FORTI, P. GIANNETTI, M. GIORGI, A. LUSIANI, G. MARCHIORI, M. MASSA, M.A. MAZUR, F. MORSANI, N. NERI, E. PAOLONI, F. RAFFAELLI, G. RIZZO, J. WALSH, E. BARACCHINI, F. BELLINI, G. CAVOTO, A. D’ORAZIO, D. DEL RE, E. DI MARCO, R. FACCINI, F. FERRAROTTO, M. GASPERO, P. JACKSON, G. MARTINELLI, M.A. MAZZONI, S. MORGANTI, G. PIREDDA, F. RENGA, L. SILVESTRINI, C. VOENA, L. CATANI, A. DI CIACCIO, R. MESSI, E. SANTOVETTI, A. SATTA, M. CIUCHINI, V. LUBICZ, X. CHEN, H. LIU, W. PARK, M. PUROHIT, A. TRIVEDI, R.M. WHITE, J.R. WILSON, M.T. ALLEN, D. ASTON, R. BARTOLDUS, S.J. BRODSKY, Y. CAI, J. COLEMAN, M.R. CONVERY, S. DEBARGER, J.C. DINGFELDER, G.P. DUBOIS-FELSMANN, S. ECKLUND, A.S. FISHER, G. HALLER, S.A. HEIFETS, J. KAMINSKI, M.H. KELSEY, M.L. KOCIAN, D.W.G.S. LEITH, N. LI, S. LUITZ, V. LUTH, D. MACFARLANE, R. MESSNER, D.R. MULLER, Y. NOSOCHKOV, A. NOVOKHATSKI, M. PIVI, B.N. RATCLIFF, A. ROODMAN, J. SCHWIENING, J. SEEMAN, A. SNYDER, M. SULLIVAN, J. VA’VRA, U. WIENANDS, W. WISNIEWSKI, F. BIANCHI, D. GAMBA, P. GAMBINO, F. MARCHETTO, E. MENICHETTI, R. MUSSA, M. PELLICCIONI, G.F. DALLA BETTA, M. BOMBEN, L. BOSISIO, C. CARTARO, L. LANCERI, L. VITALE, V. AZZOLINI, J. BERNABEU, N. LOPEZ-MARCH, F. MARTINEZ-VIDAL, D.A. MILANES, A. OYANGUREN, P. PARADISI, A. PICH, M.A. SANCHIS-LOZANO, R. KOWALEWSKI, J.M. RONEY, J. BACK, T.J. GERSHON, P.F. HARRISON, T.E. LATHAM, G.B. MOHANTY, M. PIERINI

Subjects
Physics::Instrumentation and Detectors, Physics::Accelerator Physics, High Energy Physics::Experiment
Abstract

The physics objectives of SuperB, an asymmetric electron-positron collider with a luminosity above 10^36/cm^2/s are described, together with the conceptual design of a novel low emittance design that achieves this performance with wallplug power comparable to that of the current B Factories, and an upgraded detector capable of doing the physics in the SuperB environment.

Published
2007

16. A CNN-based image detector for plant leaf diseases classification.

Author

Falaschetti L, Manoni L, Di Leo D, Pau D, Tomaselli V, and Turchetti C

Abstract

Identifying diseases from images of plant leaves is one of the most important research areas in precision agriculture. The aim of this paper is to propose an image detector embedding a resource constrained convolutional neural network (CNN) implemented in a low cost, low power platform, named OpenMV Cam H7 Plus, to perform a real-time classification of plant disease. The CNN network so obtained has been trained on two specific datasets for plant diseases detection, the ESCA-dataset and the PlantVillage-augmented dataset, and implemented in a low-power, low-cost Python programmable machine vision camera for real-time image acquisition and classification, equipped with a LCD display showing to the user the classification response in real-time. Experimental results show that this CNN-based image detector can be effectively implemented on the chosen constrained-resource system, achieving an accuracy of about 98.10%/95.24% with a very low memory cost (718.961 KB/735.727 KB) and inference time (122.969 ms/125.630 ms) tested on board for the ESCA and the PlantVillage-augmented datasets respectively, allowing the design of a portable embedded system for plant leaf diseases classification. Source files are available at https://doi.org/10.17605/OSF.IO/UCM8D., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 The Authors.)

Published
2022
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17. A Comparative Study of Computational Methods for Compressed Sensing Reconstruction of EMG Signal.

Author

Manoni L, Turchetti C, Falaschetti L, and Crippa P

Subjects
Signal Processing, Computer-Assisted, Signal-To-Noise Ratio, Wearable Electronic Devices, Wireless Technology, Algorithms, Electromyography methods
Abstract

Wearable devices offer a convenient means to monitor biosignals in real time at relatively low cost, and provide continuous monitoring without causing any discomfort. Among signals that contain critical information about human body status, electromyography (EMG) signal is particular useful in monitoring muscle functionality and activity during sport, fitness, or daily life. In particular surface electromyography (sEMG) has proven to be a suitable technique in several health monitoring applications, thanks to its non-invasiveness and ease to use. However, recording EMG signals from multiple channels yields a large amount of data that increases the power consumption of wireless transmission thus reducing the sensor lifetime. Compressed sensing (CS) is a promising data acquisition solution that takes advantage of the signal sparseness in a particular basis to significantly reduce the number of samples needed to reconstruct the signal. As a large variety of algorithms have been developed in recent years with this technique, it is of paramount importance to assess their performance in order to meet the stringent energy constraints imposed in the design of low-power wireless body area networks (WBANs) for sEMG monitoring. The aim of this paper is to present a comprehensive comparative study of computational methods for CS reconstruction of EMG signals, giving some useful guidelines in the design of efficient low-power WBANs. For this purpose, four of the most common reconstruction algorithms used in practical applications have been deeply analyzed and compared both in terms of accuracy and speed, and the sparseness of the signal has been estimated in three different bases. A wide range of experiments are performed on real-world EMG biosignals coming from two different datasets, giving rise to two different independent case studies.

Published
2019
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18. Using concept mapping in the development of the EU-PAD framework (EUropean-Physical Activity Determinants across the life course): a DEDIPAC-study.

Author

Condello G, Ling FC, Bianco A, Chastin S, Cardon G, Ciarapica D, Conte D, Cortis C, De Craemer M, Di Blasio A, Gjaka M, Hansen S, Holdsworth M, Iacoviello L, Izzicupo P, Jaeschke L, Leone L, Manoni L, Menescardi C, Migliaccio S, Nazare JA, Perchoux C, Pesce C, Pierik F, Pischon T, Polito A, Puggina A, Sannella A, Schlicht W, Schulz H, Simon C, Steinbrecher A, MacDonncha C, and Capranica L

Subjects
Adolescent, Adult, Aged, Cluster Analysis, Consensus, Environment, Europe, Female, Humans, Male, Middle Aged, Public Health statistics & numerical data, Research, Socioeconomic Factors, Young Adult, Exercise, Health Behavior, Life Style, Public Health methods, White People statistics & numerical data
Abstract

Background: A large proportion of European children, adults and older adults do not engage in sufficient physical activity (PA). Understanding individual and contextual factors associated with PA behaviours is essential for the identification and implementation of effective preventative environments, policies, and programmes that can promote an active lifestyle across life course and can potentially improve health. The current paper intends to provide 1) a multi-disciplinary, Pan-European and life course view of key determinants of PA behaviours and 2) a proposal of how these factors may cluster., Methods: After gathering a list of 183 potential PA behaviours-associated factors and a consensus meeting to unify/consolidate terminology, a concept mapping software was used to collate European experts' views of 106 identified factors for youth (<19 years), adults (19-64 years), and older adults (≥65 years). The analysis evaluated common trends in the clustering of factors and the ratings of the distinct factors' expected modifiability and population-level impact on PA behaviours across the life course. Priority for research was also assessed for each cluster., Results: The concept mapping resulted in six distinct clusters, broadly merged in two themes: 1) the 'Person', which included clusters 'Intra-Personal Context and Wellbeing' and 'Family and Social Economic Status' (42 % of all factors) and 2) the 'Society', which included the remaining four clusters 'Policy and Provision', 'Cultural Context and Media', 'Social Support and Modelling', and 'Supportive Environment' (58 % of all factors). Overall, 25 factors were rated as the most impactful on PA behaviours across the life course and being the most modifiable. They were mostly situated in the 'Intra-Personal Context and Wellbeing' cluster. Furthermore, 16 of them were rated as top priority for research., Conclusions: The current framework provides a preliminary overview of factors which may account for PA behaviour across the life course and are most relevant to the European community. These insights could potentially be a foundation for future Pan-European research on how these factors might interact with each other, and assist policy makers to identify appropriate interventions to maximize PA behaviours and thus the health of European citizens.

Published
2016
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19. Natural killer cell regeneration after transplantation with mafosfamide purged autologous bone marrow.

Author

Almici C, Manoni L, Carlo-Stella C, Garau D, Cottafavi L, and Rizzoli V

Subjects
Adult, Cell Count, Combined Modality Therapy, Female, Humans, Killer Cells, Natural pathology, Leukemia, Myeloid, Acute immunology, Leukemia, Myeloid, Acute pathology, Lymphoma, Non-Hodgkin immunology, Lymphoma, Non-Hodgkin pathology, Male, Middle Aged, Precursor Cell Lymphoblastic Leukemia-Lymphoma immunology, Precursor Cell Lymphoblastic Leukemia-Lymphoma pathology, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Bone Marrow Purging, Bone Marrow Transplantation immunology, Cyclophosphamide analogs & derivatives, Killer Cells, Natural immunology, Leukemia, Myeloid, Acute therapy, Lymphoma, Non-Hodgkin therapy, Precursor Cell Lymphoblastic Leukemia-Lymphoma therapy
Abstract

Autologous bone marrow transplantation (ABMT) is used increasingly for the treatment of acute leukemias, lymphomas and solid tumors. Since ABMT is burdened by high risk of relapse, mafosfamide or 4-hydroperoxycyclophosphamide chemical marrow purging is employed. Mafosfamide acts by exerting a potent cytotoxic effect and by promoting apoptosis of leukemic cells. A third proposed mechanism of action involves an effect on immune regeneration in vivo. It was the aim of this study to investigate natural killer (NK) cell regeneration in a group of patients undergoing mafosfamide-purged ABMT. Fifteen patients (8 acute myelogenous leukemia, AML; 4 acute lymphoblastic leukemia, ALL; 3 non-Hodgkin's lymphoma, NHL) were treated with high-dose chemotherapy followed by transplantation with marrow purged with mafosfamide. Prior to ABMT and at different intervals thereafter, NK cell number and function were studied by evaluating the percentage of circulating CD16 positive cells and cytotoxic activity against the leukemic cell line, K562. In comparison to pre-ABMT values, AML patients showed a significant increase in cytotoxic activity, expressed as percentage of chromium release (42.5 +/- 3 vs 32.5 +/- 6, P < or = 0.025 at 4 months) which still persisted at 12 months post-ABMT (54 +/- 6, P < or = 0.05). The behavior of NK functional activity was paralleled by an increase of the percentage of CD16-positive cells (8.4 +/- 2.2 vs 5 +/- 1.3, P < or = 0.05 at 4 months; 12.8 +/- 2.4, P < or = 0.005 at 12 months post-ABMT). Similar significant and long-lasting increments in NK cells were also found in NHL patients.(ABSTRACT TRUNCATED AT 250 WORDS)

Published
1995

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