451 research outputs found

    Selezione di anticorpi intracellulari contro alfa sinucleina

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    La ricerca in biologia molecolare è principalmente un indagine dell’effetto di macromolecole in ambiente intra o pericellulare. Nonostante il settore delle scienze molecolari si in continua crescita, le tecniche di ricerca in biologia molecolare sono per ora limitate ad un riarrangiamento di costrutti naturali. L’IACT (Intacellular Antibody Capture Tecnology) è una tecnologia che vuole proporsi come soluzione alle necessità dei ricercatori nell’ambito dell’interattomica e delle biotecnologie che possono trarre beneficio da un’interazione proteica. La tecnologia permette di selezionare in vivo un interattore di una proteina da un repertorio a complessità combinatoriale e assicurare che l’interazione sia funzionale in ambiente intracellulare. Nella tesi viene applicata l’IACT allo scopo di ottenere un interattore dell’alfa sinucleina, nota per il suo coinvolgimento nel morbo di Parkinson. La tesi purtroppo non ha dato i risultati sperati e vengono discussi in maniera critica tutti i fattori che possono avere inflenzato questo risultato

    Una metodología inteligente para la digitalización de colecciones museísticas

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    [ES] El documento describe una metodología que cubre los procedimientos de levantamiento y las aplicaciones informáticas con el objetivo de convertir herramientas generalistas (teléfonos inteligentes) en dispositivos de adquisición rigurosa de BIC almacenados en los museos. Dos problemas diferentes se enfrentan: a) como las caracteristicas de dichos objetos a escala micro/meso afectan su documentación; b) desarrollo de una solución multipropósito para una adquisición de bajo costo y fácil de usar para digitalizar y visualizar artefactos BIC. Se presenta un procedimiento basado en un kit de adquisición digital destinado a lograr modelos y texturas confiables, así como representaciones de color precisas. Se han seleccionado varios objetos para probar la coherencia y flexibilidad de los métodos y técnicas propuestos, y los resultados se comparan con los de las técnicas de adquisición estándar.[EN] The paper describes methods and techniques covering both surveying procedures and computer applications aiming to convert widespread tools as smartphones into reliable ranging devices in the field of Cultural Heritage (CH) museums small object. Two different issues are faced: a) how different features affect the documentation of micro-/meso-scale objects displayed in exhibitions; b) development of a multipurpose solution for a lowcost and easy-to-use acquisition to digitize and visualize these objects. A procedure based on a surveying kit aimed at achieving reliable models and textures, as well as accurate color renderings is presented. Several objects have been selected to test the consistency and flexibility of the proposed methods and techniques and results are compared with those from standard acquisition techniques.Gaiani, M.; Apollonio, FI.; Fantini, F. (2020). A comprehensive smart methodology for museum collection digitization. EGA Expresión Gráfica Arquitectónica. 25(38):170-181. https://doi.org/10.4995/ega.2020.12281OJS1701812538APOLLONIO, F.I., GAIANI, M., BASILISSI, W., RIVAROLI, L., 2017. Photogrammetry driven tools to support the restoration of open-air bronze surfaces of sculptures: an integrated solution starting from the experience of the Neptune Fountain in Bologna. ISPRS, XLII-2/W3, pp. 47-54. https://doi.org/10.5194/isprs-archives-XLII-2-W3-47-2017BERTOLLINI, M., CARAMIS, A., D'ELIA, M., PRISCO, M.R., TALICE, S., 2018. La valorizzazione del patrimonio museale: i percorsi museali 2015. https://www.slideshare.net/slideistat/ (10 March 2019).CABEZOS BERNAL, P., ROSSI, A., 2017. Técnicas de musealización virtual. Los capiteles del Monasterio de San Cugat. EGA, 29, pp. 48-57. https://doi.org/10.4995/ega.2017.7340GAIANI, M., BALLABENI, A., 2018. SHAFT (SAT & HUE Adaptive Fine Tuning), a new automated solution for target-based colour correction. Colour and Colorimetry. Multidisciplinary Contributions, XIVB, pp. 69-80.GAIANI, M. (ed.), 2015. I portici di Bologna Architettura, Modelli 3D e ricerche tecnologiche, Bologna.GARCIA‐CODOÑER, A., LLOPIS VERDÚ, J., TORRES BARCHINO, A., VILLAPLANA GUILLÉN, R., SERRA LLUCH, J., 2009. Colour as a Structural Variable of Historical Urban Form. Color Research and Application, 34, pp. 253-265. https://doi.org/10.1002/col.20491GARCÍA-LEÓN, J., SÁNCHEZ-ALLEGUE, P., PEÑA-VELASCO, C., CIPRIANI, L., FANTINI, F., 2018. Interactive dissemination of the 3D model of a baroque altarpiece: a pipeline from digital survey to game engines. SCIRES-IT, 8(2), pp. 59-76.HABEKOST, M., 2013. Which colour differencing equation should be used?. International Circular of Graphic Education and Research, 6, pp. 20-33.ISO/CIE 11664-6 (2014). Colourimetry - Part 6: CIEDE2000 Colour-Difference Formula.LOWE, D.G., 2004, Distinctive Image Features from Scale-Invariant Keypoints". International Journal of Computer Vision, 60 (2), pp. 91-110. https://doi.org/10.1023/B:VISI.0000029664.99615.94MOKRZYCKI, W.S., TATOL, M., 2011. Colour difference Delta E - A survey. Machine graphics and vision, 20(4), 383-412.NOCERINO, E., LAGO, F., MORABITO, D., REMONDINO, F., PORZI, L., POIESI, F., ROTA BULO, S., CHIPPENDALE, P., LOCHER, A., HAVLENA, M., VAN GOOL, L., EDER, M., FÖTSCHL, A., HILSMANN, A., KAUSCH, L., EISERT, P., 2017. A smartphone-based 3D pipeline for the creative industry - The REPLICATE EU Project. ISPRS, XLII-2/W3, 535-541. https://doi.org/10.5194/isprs-archives-XLII-2-W3-535-2017OTTANI CAVINA, A. (ed.), 1988. Palazzo Poggi da dimora aristocratica a sede dell'Università di Bologna Bologna: Nuova Alfa.REINHARD, E., KHAN, E.A., AKYUZ, A.O., JOHNSON, G., 2008. Colour Imaging: Fundamentals and Applications. New York: A K Peters. https://doi.org/10.1201/b10637RODRIGUEZ NAVARRO, P., 2012. La fotogrametría digital automatizada frente a los sistemas basados en sensores 3d activos. EGA, 20, pp. 100-111. https://doi.org/10.4995/ega.2012.1408RUSSO, M., 2012. Integrated Reverse Modeling Techniques for the Survey of Complex Shapes in Industrial Design. In J. Apolinar Munoz Rodriguez (ed.), Laser Scanner Technology. Shanghai. https://doi.org/10.5772/35140SHARMA, G., WU, W., DALAL, E.N., 2005. The CIEDE2000 Color-difference formula: implementation notes, supplementary test data and mathematical observations. Color Research and Application, 30(1), pp. 21-30. https://doi.org/10.1002/col.2007

    Integration between Primary Care and Mental Health Services in Italy: Determinants of Referral and Stepped Care

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    This study, carried out in the context of a collaborative care program for common mental disorders, is aimed at identifying the predictors of Primary Care Physician (PCP) referral to Community Mental Health Center (CMHC) and patterns of care. Patients with depression or anxiety disorders who had a first contact with CMHCs between January 1, 2007–December 31, 2009 were extracted from Bologna Local Health Authority database. A classification and regression tree procedure was used to determine which combination of demographic and diagnostic variables best distinguished patients referred by PCPs and to identify predictors of patterns of care (consultation, shared care, and treatment at the CMHC) for patients referred by PCPs. Of the 8570 patients, 57.4% were referred by PCPs. Those less likely to be referred by PCPs were living in the urban area, suffered from depressive disorder, and were young. As to the pattern of care, patients living in the urban area were more likely to receive shared care compared with those living in the nonurban area, while the reverse was true for consultation. Predictors of CMHC treatment were depression and young age. Prospective studies are needed to assess length, quantity, and quality of collaborative treatment for common mental disorder delivered at any step of care

    Spatial distribution of vastus lateralis blood flow and oxyhemoglobin saturation measured at the end of isometric quadriceps contraction by multichannel near-infrared spectroscopy.

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    Muscle blood flow (MBF) and muscle oxygen saturation (SmO(2)) were measured at eight locations (four proximal, four distal) over a 4 x 8 cm(2) area of the vastus lateralis at rest and immediately after isometric, maximal quadriceps contraction using multichannel, frequency-domain, near-infrared spectroscopy. A venous occlusion was applied 20 s before the end of the exercise, so that the venous-occlusion-induced increase in total hemoglobin was recorded without any delay after the end of the exercise. Therefore, we were able to investigate the relationship between the exercise-induced changes in vastus lateralis MBF and SmO(2). After exercise, MBF increased significantly at each measured location. Comparing the MBF values measured at the end of exercise in the proximal and distal regions, we observed that only one proximal region had a significantly higher MBF than the corresponding distal one. The maximum desaturation measured during exercise was positively correlated with the postexercise to pre-exercise MBF ratio in both the proximal (P=0.016) and distal (P=0.0065) regions. These data confirm that frequency-domain tissue oximeters are noninvasive, powerful tools to investigate the spatial and temporal features of muscle blood flow and oxygenation, with potential applications in areas of pathophysiology

    Enhancing COVID-19 Vaccines Acceptance: Results from a Survey on Vaccine Hesitancy in Northern Italy

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    In March 2021, the coronavirus disease 2019 (COVID-19) pandemic still poses a threat to the global population, and is a public health challenge that needs to be overcome. Now more than ever, action is needed to tackle vaccine hesitancy, especially in light of the availability of effective and safe vaccines. A cross-sectional online survey was carried out on a representative random sample of 1011 citizens from the Emilia-Romagna region, in Italy, in January 2021. The questionnaire collected information on socio-demographics, comorbidities, past vaccination refusal, COVID-19-related experiences, risk perception of infection, and likelihood to accept COVID-19 vaccination. Multiple logistic regression analyses and classification tree analyses were performed to identify significant predictors of vaccine hesitancy and to distinguish groups with different levels of hesitancy. Overall, 31.1% of the sample reported hesitancy. Past vaccination refusal was the key discriminating variable followed by perceived risk of infection. Other significant predictors of hesitancy were: ages between 35 and 54 years, female gender, low educational level, low income, and absence of comorbidities. The most common concerns about the COVID-19 vaccine involved safety (54%) and efficacy (27%). Studying the main determinants of vaccine hesitancy can help with targeting vaccination strategies, in order to gain widespread acceptance-a key path to ensure a rapid way out of the current pandemic emergency

    Collaborative robots and new product introduction: Capturing and transferring human expert knowledge to the operators

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    Collaborative robots, thanks to their light structure and embedded safety mechanisms, have started to be employed in assembly lines to perform tasks previously carried out by human operators. The implications of the close and sometimes tight collaboration between the worker and the machine have been investigated from several perspectives: quality, productivity, health & safety and social implications. However, other implications, which are acquiring increasing relevance, are related to product changeovers and the need to frequently adapt the collaborative robotsâ\u80\u99 behaviour to follow the new work instructions. As current market trends lead to increasingly frequent releases of new models or variants, the capability to adapt robotâ\u80\u99s instructions effectively and efficiently have to be at hand in the line and cannot longer be limited to the engineering and technical departments. Theory and practice about changing robotsâ\u80\u99 programs have to be transferred from the experts to the operators. In this study, we propose a method for capturing and analyzing expertâ\u80\u99s knowledge, based on human observation, video and speech recording. Results include patterns of human expertâ\u80\u99s behaviour and suggestions for training and support employees to cope with collaborative robots and new product introduction
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