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1. Systemic vasculitis: one year in review 2024

Author: Treppo, E, Monti, S, Delvino, P, Marvisi, C, Ricordi, C, La Rocca, G, Moretti, M, Italiano, N, Di Cianni, F, Ferro, F, Muratore, F, Baldini, C, Talarico, R, Quartuccio, L, Salvarani, C, Treppo, Elena, Monti, Sara, Delvino, Paolo, Marvisi, Chiara, Ricordi, Caterina, La Rocca, Gaetano, Moretti, Michele, Italiano, Nazzareno, Di Cianni, Federica, Ferro, Francesco, Muratore, Francesco, Baldini, Chiara, Talarico, Rosaria, Quartuccio, Luca, Salvarani, Carlo, Treppo, E, Monti, S, Delvino, P, Marvisi, C, Ricordi, C, La Rocca, G, Moretti, M, Italiano, N, Di Cianni, F, Ferro, F, Muratore, F, Baldini, C, Talarico, R, Quartuccio, L, Salvarani, C, Treppo, Elena, Monti, Sara, Delvino, Paolo, Marvisi, Chiara, Ricordi, Caterina, La Rocca, Gaetano, Moretti, Michele, Italiano, Nazzareno, Di Cianni, Federica, Ferro, Francesco, Muratore, Francesco, Baldini, Chiara, Talarico, Rosaria, Quartuccio, Luca, and Salvarani, Carlo
Abstract: Systemic vasculitides comprise a collection of rare and heterogeneous disorders capable of impacting any organ and system, posing a considerable burden of mortality and comorbidity. As with previous annual reviews of this series, this review will offer a critical overview of the latest literature on pathogenesis, biomarkers, and treatment options in both small- and large-vessel vasculitis.
Published: 2024

2. Transcranial magnetic stimulation on the right dorsal attention network modulates the center-surround profile of the attentional focus

Author: Massironi, A, Lazzari, G, La Rocca, S, Ronconi, L, Daini, R, Lega, C, Massironi, Andrea, Lazzari, Giorgio, La Rocca, Stefania, Ronconi, Luca, Daini, Roberta, Lega, Carlotta, Massironi, A, Lazzari, G, La Rocca, S, Ronconi, L, Daini, R, Lega, C, Massironi, Andrea, Lazzari, Giorgio, La Rocca, Stefania, Ronconi, Luca, Daini, Roberta, and Lega, Carlotta
Abstract: Psychophysical observations indicate that the spatial profile of visuospatial attention includes a central enhancement around the attentional focus, encircled by a narrow zone of reduced excitability in the immediate surround. This inhibitory ring optimally amplifies relevant target information, likely stemming from top-down frontoparietal recurrent activity modulating early visual cortex activations. However, the mechanisms through which neural suppression gives rise to the surrounding attenuation and any potential hemispheric specialization remain unclear. We used transcranial magnetic stimulation to evaluate the role of two regions of the dorsal attention network in the center-surround profile: the frontal eye field and the intraparietal sulcus. Participants performed a psychophysical task that mapped the entire spatial attentional profile, while transcranial magnetic stimulation was delivered either to intraparietal sulcus or frontal eye field on the right (Experiment 1) and left (Experiment 2) hemisphere. Results showed that stimulation of right frontal eye field and right intraparietal sulcus significantly changed the center-surround profile, by widening the inhibitory ring around the attentional focus. The stimulation on the left frontal eye field, but not left intraparietal sulcus, induced a general decrease in performance but did not alter the center-surround profile. Results point to a pivotal role of the right dorsal attention network in orchestrating inhibitory spatial mechanisms required to limit interference by surrounding distractors.
Published: 2024

3. Using computer-generated faces in experimental psychology: The role of realism and exposure

Author: Di Natale, A, La Rocca, S, Simonetti, M, Bricolo, E, Di Natale, Anna Flavia, La Rocca, Stefania, Simonetti, Matilde Ellen, Bricolo, Emanuela, Di Natale, A, La Rocca, S, Simonetti, M, Bricolo, E, Di Natale, Anna Flavia, La Rocca, Stefania, Simonetti, Matilde Ellen, and Bricolo, Emanuela
Abstract: In psychology, researchers often rely on face photographs to study face perception. However, finding suitable face stimuli for experiments is often challenging. Computer-generated (CG) faces have emerged as a potential solution due to their flexibility and controllability. However, it has been suggested that these stimuli are evaluated and processed differently from real faces, and their suitability as alternatives in experimental settings remains unclear. To address this, two studies were conducted to examine the impact of CG faces' realism and observers’ self-reported exposure to CG faces on faces appraisals (Study 1) and processing (Study 2). In Study 1 (n = 97), we assessed perceptions of both real and CG faces. Findings indicated that participants generally viewed CG faces less favourably, especially when these faces lacked realism. This trend was particularly pronounced among individuals less exposed to digital characters. In Study 2 (n = 33), we examined the recognition accuracy of these faces in a memory task. The data revealed that CG faces, especially those less realistic, were less accurately recognized. However, this discrepancy was primarily observed among individuals with limited exposure to digital characters, while those more familiar with such characters showed no significant difference in recognition. Overall, this work confirmed that, to date, CG faces are not an adequate alternative to real faces and that researchers should be cautious when using these stimuli in experiments involving face processing. However, as digital graphics improve and as digital characters become more commonplace in daily life, the perceptual gap between CG and real faces may diminish.
Published: 2024

4. No country for old men. Rappresentazioni dell’ageismo implicito negli anziani: uno studio VR

Author: Menghini, M, LA ROCCA, S, Tosi, G, Brighenti, A, Daini, R, Matilde Menghini, Stefania La Rocca, Giorgia Tosi, Andrea Brighenti, Roberta Daini, Menghini, M, LA ROCCA, S, Tosi, G, Brighenti, A, Daini, R, Matilde Menghini, Stefania La Rocca, Giorgia Tosi, Andrea Brighenti, and Roberta Daini
Published: 2024

5. Orthostatic hypotension, cognition and structural brain imaging in hemodynamically impaired patients

Author: Projectafdeling CVZ, Neurologen, Brain, Circulatory Health, Starmans, Naomi L.P., Wolters, Frank J., Leeuwis, Anna E., Bron, Esther E., de Bresser, Jeroen, Brunner-La Rocca, Hans Peter, Staals, Julie, Muller, Majon, Biessels, Geert Jan, Kappelle, L. Jaap, on behalf of the Heart-Brain Connection Consortium, Projectafdeling CVZ, Neurologen, Brain, Circulatory Health, Starmans, Naomi L.P., Wolters, Frank J., Leeuwis, Anna E., Bron, Esther E., de Bresser, Jeroen, Brunner-La Rocca, Hans Peter, Staals, Julie, Muller, Majon, Biessels, Geert Jan, Kappelle, L. Jaap, and on behalf of the Heart-Brain Connection Consortium
Published: 2024

6. Alzheimer's Disease and Cognitive Decline in Patients with Cardiovascular Diseases Along the Heart-Brain Axis

Author: Neurologen, Brain, Circulatory Health, Trieu, Calvin, van Harten, Argonde C., Leeuwis, Anna E., Exalto, Lieza G., Hooghiemstra, Astrid M., Verberk, Inge M.W., Allaart, Cor P., Brunner-La Rocca, Hans Peter, Kappelle, L. Jaap, van Oostenbrugge, Robert J., Biessels, Geert Jan, Teunissen, Charlotte E., van der Flier, Wiesje M., Heart-Brain Connection Consortium, Neurologen, Brain, Circulatory Health, Trieu, Calvin, van Harten, Argonde C., Leeuwis, Anna E., Exalto, Lieza G., Hooghiemstra, Astrid M., Verberk, Inge M.W., Allaart, Cor P., Brunner-La Rocca, Hans Peter, Kappelle, L. Jaap, van Oostenbrugge, Robert J., Biessels, Geert Jan, Teunissen, Charlotte E., van der Flier, Wiesje M., and Heart-Brain Connection Consortium
Published: 2024

7. Un confronto mancato: Walter Benjamin e Antonio Gramsci

Author: La Rocca, Giulia and La Rocca, Giulia
Abstract: This is the abstract of the Italian-language review of the volume Un confronto mancato: Walter Benjamin e Antonio Gramsci. The book (Macerata, Quodilbet, 2023) publishes the proceedings of a conference in Rome on the two Marxists held in Autumn 2022 which continues explicitly the earlier Vienna conference, the contributions to which are collected together in “International Gramsci Journal” 3(4), 2020. The proceedings fall into four sections. The first one deals with the philosophy of history and historical materialism, as elaborated by Gramsci in his “philosophy of praxis”; despite different starting points and apparently different assessments of historicism, there turns out in the end to be a convergence based on an anti-determinism. The second part focuses on revolution, counter-revolution and passive revolution, taking in the questions of the political subject and contemporary situations. Subjectivity is then the theme of the third section, as forms of life appropriate to the capitalist mode of production and as regards subjects attempting to emancipate themselves from this mode. The fourth section includes the two thinker-revolutionaries’ approaches to the question of the various types of intellectual, including their conceptions of the artistic vanguards, folklore and kitsch, and the translation of experience from one country to another.
Published: 2024

8. A Missed Encounter: Walter Benjamin and Antonio Gramsci

Author: La Rocca, Giulia and La Rocca, Giulia
Abstract: This is the abstract of the English-language review of the volume Un confronto mancato: Walter Benjamin e Antonio Gramsci. The book (Macerata, Quodilbet, 2023) publishes the proceedings of a conference in Rome on the two Marxists held in Autumn 2022 which continues explicitly the earlier Vienna conference, the contributions to which are collected together in “International Gramsci Journal” 3(4), 2020. The proceedings fall into four sections. The first one deals with the philosophy of history and historical materialism, as elaborated by Gramsci in his “philosophy of praxis”; despite different starting points and apparently different assessments of historicism, there turns out in the end to be a convergence based on an anti-determinism. The second part focuses on revolution, counter-revolution and passive revolution, taking in the questions of the political subject and contemporary situations. Subjectivity is then the theme of the third section, as forms of life appropriate to the capitalist mode of production and as regards subjects attempting to emancipate themselves from this mode. The fourth section includes the two thinker-revolutionaries’ approaches to the question of the various types of intellectual, including their conceptions of the artistic vanguards, folklore and kitsch, and the translation of experience from one country to another.
Published: 2024

9. Pulmonary artery pressure monitoring in chronic heart failure: effects across clinically relevant subgroups in the MONITOR-HF trial

Author: Team Medisch, Circulatory Health, Clephas, P R D, Zwartkruis, V W, Malgie, J, van Gent, M W F, Brunner-La Rocca, H P, Szymanski, M K, van Halm, V P, Handoko, M L, Kok, W, Asselbergs, F W, van Kimmenade, R, Manintveld, O, van Mieghem, N M D A, Beeres, S L M A, Post, M C, Borleffs, C J W, Tukkie, R, Mosterd, A, Linssen, G C M, Spee, R F, Emans, M E, Smilde, T D J, van Ramshorst, J, Kirchhof, C, Feenema-Aardema, F, da Fonseca, C A, van den Heuve, M, Hazeleger, R, van Eck, M, van Heerebeek, L, Boersma, H, Rienstra, M, de Boer, R A, Brugts, J J, Team Medisch, Circulatory Health, Clephas, P R D, Zwartkruis, V W, Malgie, J, van Gent, M W F, Brunner-La Rocca, H P, Szymanski, M K, van Halm, V P, Handoko, M L, Kok, W, Asselbergs, F W, van Kimmenade, R, Manintveld, O, van Mieghem, N M D A, Beeres, S L M A, Post, M C, Borleffs, C J W, Tukkie, R, Mosterd, A, Linssen, G C M, Spee, R F, Emans, M E, Smilde, T D J, van Ramshorst, J, Kirchhof, C, Feenema-Aardema, F, da Fonseca, C A, van den Heuve, M, Hazeleger, R, van Eck, M, van Heerebeek, L, Boersma, H, Rienstra, M, de Boer, R A, and Brugts, J J
Published: 2024

10. Contemporary guideline-directed medical therapy in de novo, chronic, and worsening heart failure patients: First data from the TITRATE-HF study

Author: Team Medisch, Circulatory Health, Malgie, Jishnu, Wilde, Mariëlle I, Clephas, Pascal R D, Emans, Mireille E, Koudstaal, Stefan, Schaap, Jeroen, Mosterd, Arend, van Ramshorst, Jan, Wardeh, Alexander J, van Wijk, Sandra, van den Heuvel, Mieke, Wierda, Eric, Borleffs, C Jan Willem, Saraber, Colette, Beeres, Saskia L M A, van Kimmenade, Roland, Jansen Klomp, Wouter, Denham, Robert, da Fonseca, Carlos A, Klip, IJsbrand T, Manintveld, Olivier C, van der Boon, Robert M A, van Ofwegen, Clara E E, Yilmaz, Ayten, Pisters, Ron, Linssen, Gerard C M, Faber, Nikola, van Heerebeek, Loek, van de Swaluw, Julio E C, Bouhuijzen, Lex J, Post, Marco C, Kuijper, Aaf F M, Wu, Ka Wai, van Beek, Eugène A, Hesselink, Tim, Kleijn, Lennaert, Kurvers, Maurice J M, Tio, René A, Langerveld, Jorina, van Dalen, Bas M, van Eck, J W Martijn, Handoko, M Louis, Hermans, Walter R M, Koornstra-Wortel, Hetty J J, Szymanski, Mariusz K, Rooker, Dennis, Tandjung, Kenneth, Eijsbouts, Sabine C M, Asselbergs, Folkert W, van der Meer, Peter, Brunner-La Rocca, Hans-Peter, de Boer, Rudolf A, Brugts, Jasper J, Team Medisch, Circulatory Health, Malgie, Jishnu, Wilde, Mariëlle I, Clephas, Pascal R D, Emans, Mireille E, Koudstaal, Stefan, Schaap, Jeroen, Mosterd, Arend, van Ramshorst, Jan, Wardeh, Alexander J, van Wijk, Sandra, van den Heuvel, Mieke, Wierda, Eric, Borleffs, C Jan Willem, Saraber, Colette, Beeres, Saskia L M A, van Kimmenade, Roland, Jansen Klomp, Wouter, Denham, Robert, da Fonseca, Carlos A, Klip, IJsbrand T, Manintveld, Olivier C, van der Boon, Robert M A, van Ofwegen, Clara E E, Yilmaz, Ayten, Pisters, Ron, Linssen, Gerard C M, Faber, Nikola, van Heerebeek, Loek, van de Swaluw, Julio E C, Bouhuijzen, Lex J, Post, Marco C, Kuijper, Aaf F M, Wu, Ka Wai, van Beek, Eugène A, Hesselink, Tim, Kleijn, Lennaert, Kurvers, Maurice J M, Tio, René A, Langerveld, Jorina, van Dalen, Bas M, van Eck, J W Martijn, Handoko, M Louis, Hermans, Walter R M, Koornstra-Wortel, Hetty J J, Szymanski, Mariusz K, Rooker, Dennis, Tandjung, Kenneth, Eijsbouts, Sabine C M, Asselbergs, Folkert W, van der Meer, Peter, Brunner-La Rocca, Hans-Peter, de Boer, Rudolf A, and Brugts, Jasper J
Published: 2024

11. Serial cardiac biomarkers, pulmonary artery pressures and traditional parameters of fluid status in relation to prognosis in patients with chronic heart failure:Design and rationale of the BioMEMS study

Author: Allach, Youssra, de Jong, Mylene Barry-Loncq, Clephas, Pascal R. D., van Gent, Marco W. F., Brunner-La Rocca, Hans-Peter, Szymanski, Mariusz K., van Halm, Vokko P., Handoko, M. Louis, Kok, Wouter E. M., Asselbergs, Folkert W., van Kimmenade, Roland R. J., Manintveld, Olivier C., van Mieghem, Nicolas M. D. A., Beeres, Saskia L. M. A., Rienstra, Michiel, Post, Marco C., van Heerebeek, Loek, Borleffs, C. Jan Willem, Tukkie, Raymond, Mosterd, Arend, Linssen, Gerard C. M., Spee, Ruud F., Emans, Mireille E., Smilde, Tom D. J., van Ramshorst, Jan, Kirchhof, Charles J. H. J., Feenema-Aardema, Margriet W., da Fonseca, Carlos A., van den Heuvel, Mieke, Hazeleger, Ronald, van Eck, J. W. Martijn, Boersma, Eric, Kardys, Isabella, de Boer, Rudolf A., Brugts, Jasper J., Allach, Youssra, de Jong, Mylene Barry-Loncq, Clephas, Pascal R. D., van Gent, Marco W. F., Brunner-La Rocca, Hans-Peter, Szymanski, Mariusz K., van Halm, Vokko P., Handoko, M. Louis, Kok, Wouter E. M., Asselbergs, Folkert W., van Kimmenade, Roland R. J., Manintveld, Olivier C., van Mieghem, Nicolas M. D. A., Beeres, Saskia L. M. A., Rienstra, Michiel, Post, Marco C., van Heerebeek, Loek, Borleffs, C. Jan Willem, Tukkie, Raymond, Mosterd, Arend, Linssen, Gerard C. M., Spee, Ruud F., Emans, Mireille E., Smilde, Tom D. J., van Ramshorst, Jan, Kirchhof, Charles J. H. J., Feenema-Aardema, Margriet W., da Fonseca, Carlos A., van den Heuvel, Mieke, Hazeleger, Ronald, van Eck, J. W. Martijn, Boersma, Eric, Kardys, Isabella, de Boer, Rudolf A., and Brugts, Jasper J.
Abstract: Aims: Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF-related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, guided by pulmonary artery (PA) pressure, offers opportunities for efficient early-stage intervention, since haemodynamic congestion precedes clinical symptoms. Methods: The BioMEMS study, a substudy of the MONITOR-HF trial, proposes a multifaceted approach integrating blood biobank data with traditional and novel HF parameters. Two additional blood samples from 340 active participants in the MONITOR-HF trial were collected at baseline, 3-, 6-, and 12-month visits and stored for the BioMEMS biobank. The main aims are to identify the relationship between temporal biomarker patterns and PA pressures derived from the CardioMEMS-HF system, and to identify the biomarker profile(s) associated with the risk of HF events and cardiovascular death. Conclusion: Since the prognostic value of single baseline measurements of biomarkers like N-terminal pro-B-type natriuretic peptide is limited, with the BioMEMS study we advocate a dynamic, serial approach to better capture HF progression. We will substantiate this by relating repeated biomarker measurements to PA pressures. This design rationale presents a comprehensive review on cardiac biomarkers in HF, and aims to contribute valuable insights into personalized HF therapy and patient risk assessment, advancing our ability to address the evolving nature of HF effectively.
Published: 2024

12. Contemporary guideline-directed medical therapy in de novo, chronic, and worsening heart failure patients:First data from the TITRATE-HF study

Author: Malgie, Jishnu, Wilde, Mariëlle I., Clephas, Pascal R.D., Emans, Mireille E., Koudstaal, Stefan, Schaap, Jeroen, Mosterd, Arend, van Ramshorst, Jan, Wardeh, Alexander J., van Wijk, Sandra, van den Heuvel, Mieke, Wierda, Eric, Borleffs, C. Jan Willem, Saraber, Colette, Beeres, Saskia L.M.A., van Kimmenade, Roland, Jansen Klomp, Wouter, Denham, Robert, da Fonseca, Carlos A., Klip, IJsbrand T., Manintveld, Olivier C., van der Boon, Robert M.A., van Ofwegen, Clara E.E., Yilmaz, Ayten, Pisters, Ron, Linssen, Gerard C.M., Faber, Nikola, van Heerebeek, Loek, van de Swaluw, Julio E.C., Bouhuijzen, Lex J., Post, Marco C., Kuijper, Aaf F.M., Wu, Ka wai, van Beek, Eugène A., Hesselink, Tim, Kleijn, Lennaert, Kurvers, Maurice J.M., Tio, René A., Langerveld, Jorina, van Dalen, Bas M., van Eck, J. W.Martijn, Handoko, M. Louis, Hermans, Walter R.M., Koornstra-Wortel, Hetty J.J., Szymanski, Mariusz K., Rooker, Dennis, Tandjung, Kenneth, Eijsbouts, Sabine C.M., Asselbergs, Folkert W., van der Meer, Peter, Brunner-La Rocca, Hans Peter, de Boer, Rudolf A., Brugts, Jasper J., Malgie, Jishnu, Wilde, Mariëlle I., Clephas, Pascal R.D., Emans, Mireille E., Koudstaal, Stefan, Schaap, Jeroen, Mosterd, Arend, van Ramshorst, Jan, Wardeh, Alexander J., van Wijk, Sandra, van den Heuvel, Mieke, Wierda, Eric, Borleffs, C. Jan Willem, Saraber, Colette, Beeres, Saskia L.M.A., van Kimmenade, Roland, Jansen Klomp, Wouter, Denham, Robert, da Fonseca, Carlos A., Klip, IJsbrand T., Manintveld, Olivier C., van der Boon, Robert M.A., van Ofwegen, Clara E.E., Yilmaz, Ayten, Pisters, Ron, Linssen, Gerard C.M., Faber, Nikola, van Heerebeek, Loek, van de Swaluw, Julio E.C., Bouhuijzen, Lex J., Post, Marco C., Kuijper, Aaf F.M., Wu, Ka wai, van Beek, Eugène A., Hesselink, Tim, Kleijn, Lennaert, Kurvers, Maurice J.M., Tio, René A., Langerveld, Jorina, van Dalen, Bas M., van Eck, J. W.Martijn, Handoko, M. Louis, Hermans, Walter R.M., Koornstra-Wortel, Hetty J.J., Szymanski, Mariusz K., Rooker, Dennis, Tandjung, Kenneth, Eijsbouts, Sabine C.M., Asselbergs, Folkert W., van der Meer, Peter, Brunner-La Rocca, Hans Peter, de Boer, Rudolf A., and Brugts, Jasper J.
Abstract: Aims: Despite clear guideline recommendations for initiating four drug classes in all patients with heart failure (HF) with reduced ejection fraction (HFrEF) and the availability of rapid titration schemes, information on real-world implementation lags behind. Closely following the 2021 ESC HF guidelines and 2023 focused update, the TITRATE-HF study started to prospectively investigate the use, sequencing, and titration of guideline-directed medical therapy (GDMT) in HF patients, including the identification of implementation barriers. Methods and results: TITRATE-HF is an ongoing long-term HF registry conducted in the Netherlands. Overall, 4288 patients from 48 hospitals were included. Among these patients, 1732 presented with de novo, 2240 with chronic, and 316 with worsening HF. The median age was 71 years (interquartile range [IQR] 63–78), 29% were female, and median ejection fraction was 35% (IQR 25–40). In total, 44% of chronic and worsening HFrEF patients were prescribed quadruple therapy. However, only 1% of HFrEF patients achieved target dose for all drug classes. In addition, quadruple therapy was more often prescribed to patients treated in a dedicated HF outpatient clinic as compared to a general cardiology outpatient clinic. In each GDMT drug class, 19% to 36% of non-use in HFrEF patients was related to side-effects, intolerances, or contraindications. In the de novo HF cohort, 49% of patients already used one or more GDMT drug classes for other indications than HF. Conclusion: This first analysis of the TITRATE-HF study reports relatively high use of GDMT in a contemporary HF cohort, while still showing room for improvement regarding quadruple therapy. Importantly, the use and dose of GDMT were suboptimal, with the reasons often remaining unclear. This underscores the urgency for further optimization of GDMT and implementation strategies within HF management.
Published: 2024

13. DoctorME 1.0: Caring together 24/7 - experiences and improvement opportunities from the perspective of relatives of patients with heart failure using a decision support system

Author: Neumann, A, Steiner, B, Boyne, J, Dinesh Kanna, ND, Hill, L, Murphy, M, Verket, M, McNulty, A, Barrett, M, Hoedemarkers, T, Helms, TM, Brunner-La Rocca, HP, Zippel-Schultz, B, Neumann, A, Steiner, B, Boyne, J, Dinesh Kanna, ND, Hill, L, Murphy, M, Verket, M, McNulty, A, Barrett, M, Hoedemarkers, T, Helms, TM, Brunner-La Rocca, HP, and Zippel-Schultz, B
Published: 2024

14. Serial cardiac biomarkers, pulmonary artery pressures and traditional parameters of fluid status in relation to prognosis in patients with chronic heart failure: Design and rationale of the BioMEMS study

Author: Team Medisch, Circulatory Health, Allach, Youssra, Barry-Loncq de Jong, Mylene, Clephas, Pascal R D, van Gent, Marco W F, Brunner-La Rocca, Hans-Peter, Szymanski, Mariusz K, van Halm, Vokko P, Handoko, M Louis, Kok, Wouter E M, Asselbergs, Folkert W, van Kimmenade, Roland R J, Manintveld, Olivier C, van Mieghem, Nicolas M D A, Beeres, Saskia L M A, Rienstra, Michiel, Post, Marco C, van Heerebeek, Loek, Borleffs, C Jan Willem, Tukkie, Raymond, Mosterd, Arend, Linssen, Gerard C M, Spee, Ruud F, Emans, Mireille E, Smilde, Tom D J, van Ramshorst, Jan, Kirchhof, Charles J H J, Feenema-Aardema, Margriet W, da Fonseca, Carlos A, van den Heuvel, Mieke, Hazeleger, Ronald, van Eck, J W Martijn, Boersma, Eric, Kardys, Isabella, de Boer, Rudolf A, Brugts, Jasper J, Team Medisch, Circulatory Health, Allach, Youssra, Barry-Loncq de Jong, Mylene, Clephas, Pascal R D, van Gent, Marco W F, Brunner-La Rocca, Hans-Peter, Szymanski, Mariusz K, van Halm, Vokko P, Handoko, M Louis, Kok, Wouter E M, Asselbergs, Folkert W, van Kimmenade, Roland R J, Manintveld, Olivier C, van Mieghem, Nicolas M D A, Beeres, Saskia L M A, Rienstra, Michiel, Post, Marco C, van Heerebeek, Loek, Borleffs, C Jan Willem, Tukkie, Raymond, Mosterd, Arend, Linssen, Gerard C M, Spee, Ruud F, Emans, Mireille E, Smilde, Tom D J, van Ramshorst, Jan, Kirchhof, Charles J H J, Feenema-Aardema, Margriet W, da Fonseca, Carlos A, van den Heuvel, Mieke, Hazeleger, Ronald, van Eck, J W Martijn, Boersma, Eric, Kardys, Isabella, de Boer, Rudolf A, and Brugts, Jasper J
Published: 2024

15. L'ordine pubblico applicato alla filiazione da maternità surrogata

Author: Bilotti, E, La Rocca, G, Piccinini, V, Perrino, S, Perrino, SP, Bilotti, E, La Rocca, G, Piccinini, V, Perrino, S, and Perrino, SP
Published: 2024

16. Model-based approach for the automatic inclusion of production considerations in the conceptual design of aircraft structures

Author: Bruggeman, A.M.R.M. (author), Bansal, D. (author), la Rocca, G. (author), van der Laan, T (author), van den Berg, T. (author), Bruggeman, A.M.R.M. (author), Bansal, D. (author), la Rocca, G. (author), van der Laan, T (author), and van den Berg, T. (author)
Abstract: Including production considerations in the early design stages of aircraft structures is challenging. Production information is mostly known by experts and rarely formally documented such that it can be effectively used during the design process. Producibility is mostly considered after completing the design, resulting in increased cost and development time due to the late discovery of production issues. This paper presents a new model, called the Manufacturing Information Model (MIM), which supports the automatic inclusion of production considerations into the design process. The MIM provides a single source of truth and a generic structure to capture and organize production-related information in a product system. Furthermore, it provides compatibility analyses to automatically warn for or exclude infeasible designs. Analysis tools use the information stored within the MIM to calculate the mass, costs, and production rate of the product. To show the functionalities of the MIM, it has been applied to the conceptual design of a wing box at a Tier 1 company. This use case shows how the MIM supports trade-off decisions, as it allows for the identification of trends and the ranking of different manufacturing concepts. Overall, the MIM provides a structured and formal approach to include production information in the conceptual design, improving the decision-making process., Flight Performance and Propulsion
Published: 2024
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17. Model-Based Approach for the Simultaneous Design of Airframe Components and their Production Process Using Dynamic MDAO Workflows

Author: Bruggeman, A.M.R.M. (author), Nikitin, M. (author), la Rocca, G. (author), Bergsma, O.K. (author), Bruggeman, A.M.R.M. (author), Nikitin, M. (author), la Rocca, G. (author), and Bergsma, O.K. (author)
Abstract: During the early design stages of airframe components, many possible design architectures and production methods need to be traded to find the best configuration. Evaluating different production methods can be challenging as different production methods put different requirements on the product to be designed. This paper presents a new methodology that enables the inclusion of manufacturing and assembly in the design process. By extending the architectural design space model with components of the production system, the design choices regarding production are made explicit. Through the modeling of product and production requirements and assigning them a verification method, a dynamic MDAO workflow is formulated. Within a dynamic workflow, the design variables, analysis tools, and constraints change depending on the current design vector. The methodology has been applied to the design and manufacturing of a wing rib in which two manufacturing options were traded: metal machining and composite stamp forming. The dynamic MDAO workflow successfully found the Pareto front for both manufacturing methods. The main benefit is that only one workflow needed to be formulated and executed, whereas previously a separate MDAO workflow needed to be created for each combination of product design and production method. Overall, the newly presented methodology enables the optimization and trade-off between different production methods while ensuring the design complies with the production-specific requirements., Flight Performance and Propulsion, Group Bergsma
Published: 2024
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18. Guideline implementation, drug sequencing, and quality of care in heart failure:design and rationale of TITRATE-HF

Author: Clephas, Pascal R.D., Malgie, Jishnu, Schaap, Jeroen, Koudstaal, Stefan, Emans, Mireille, Linssen, Gerard C.M., de Boer, Grytsje A., van Heerebeek, Loek, Borleffs, C. Jan Willem, Manintveld, Olivier C., van Empel, Vanessa, van Wijk, Sandra, van den Heuvel, Mieke, da Fonseca, Carlos, Damman, Kevin, van Ramshorst, Jan, van Kimmenade, Roland, van de Ven, Arjen R.T., Tio, René A., van Veghel, Dennis, Asselbergs, Folkert W., de Boer, Rudolf A., van der Meer, Peter, Greene, Stephen J., Brunner-La Rocca, Hans Peter, Brugts, Jasper J., Clephas, Pascal R.D., Malgie, Jishnu, Schaap, Jeroen, Koudstaal, Stefan, Emans, Mireille, Linssen, Gerard C.M., de Boer, Grytsje A., van Heerebeek, Loek, Borleffs, C. Jan Willem, Manintveld, Olivier C., van Empel, Vanessa, van Wijk, Sandra, van den Heuvel, Mieke, da Fonseca, Carlos, Damman, Kevin, van Ramshorst, Jan, van Kimmenade, Roland, van de Ven, Arjen R.T., Tio, René A., van Veghel, Dennis, Asselbergs, Folkert W., de Boer, Rudolf A., van der Meer, Peter, Greene, Stephen J., Brunner-La Rocca, Hans Peter, and Brugts, Jasper J.
Abstract: Aims: Current heart failure (HF) guidelines recommend to prescribe four drug classes in patients with HF with reduced ejection fraction (HFrEF). A clear challenge exists to adequately implement guideline-directed medical therapy (GDMT) regarding the sequencing of drugs and timely reaching target dose. It is largely unknown how the paradigm shift from a serial and sequential approach for drug therapy to early parallel application of the four drug classes will be executed in daily clinical practice, as well as the reason clinicians may not adhere to new guidelines. We present the design and rationale for the real-world TITRATE-HF study, which aims to assess sequencing strategies for GDMT initiation, dose titration patterns (order and speed), intolerance for GDMT, barriers for implementation, and long-term outcomes in patients with de novo, chronic, and worsening HF. Methods and results: A total of 4000 patients with HFrEF, HF with mildly reduced ejection fraction, and HF with improved ejection fraction will be enrolled in >40 Dutch centres with a follow-up of at least 3 years. Data collection will include demographics, physical examination and vital parameters, electrocardiogram, laboratory measurements, echocardiogram, medication, and quality of life. Detailed information on titration steps will be collected for the four GDMT drug classes. Information will include date, primary reason for change, and potential intolerances. The primary clinical endpoints are HF-related hospitalizations, HF-related urgent visits with a need for intravenous diuretics, all-cause mortality, and cardiovascular mortality. Conclusions: TITRATE-HF is a real-world multicentre longitudinal registry that will provide unique information on contemporary GDMT implementation, sequencing strategies (order and speed), and prognosis in de novo, worsening, and chronic HF patients.
Published: 2024

19. Ne bis in idem: nozione, spazi operativi e rimedi

Author: Cabiale, A, Camaldo, LBC, Colaiacovo, G, Della Torre, J, La Rocca, EN, Maggio, P, Mangiaracina, A, Miraglia, M, Morelli, F, Nacar, B, Nicolicchia, F, Parlato, L, Sanna, A, Zacchè, F, Zacche', F, Cabiale, A, Camaldo, LBC, Colaiacovo, G, Della Torre, J, La Rocca, EN, Maggio, P, Mangiaracina, A, Miraglia, M, Morelli, F, Nacar, B, Nicolicchia, F, Parlato, L, Sanna, A, Zacchè, F, and Zacche', F
Published: 2024

20. Introduzione

Author: Casiraghi, R, Cassibba, FS, Crippa, E, Garbagnati, G, La Rocca, NE, Sanna, A, Sirello, V, Vigoni, D, Zanoncelli, A, F. Zacchè, Zacche', F, Casiraghi, R, Cassibba, FS, Crippa, E, Garbagnati, G, La Rocca, NE, Sanna, A, Sirello, V, Vigoni, D, Zanoncelli, A, F. Zacchè, and Zacche', F
Published: 2024

21. Measurement of the radius dependence of charged-particle jet suppression in Pb–Pb collisions at √sNN = 5.02 TeV

Author: Acharya, Shreyasi, Adamová, Dagmar, Adler, Alexander, Aglieri Rinella, Gianluca, Agnello, Michelangelo, Agrawal, Neelima, Ahammed, Zubayer, Ahmad, Shakeel, Ahn, Sang Un, Ahuja, Ishaan, Akindinov, Alexander, Al-Turany, Mohammad, Aleksandrov, Dmitry, Alessandro, Bruno, Alfanda, Haidar Mas’ud, Alfaro Molina, Jose Ruben, Ali, Bushra, Alici, Andrea, Alizadehvandchali, Negin, Alkin, Anton, Alme, Johan, Alocco, Giacomo, Alt, Torsten, Altsybeev, Igor, Alvarado Garcia, Jesús Ricardo, Anaam, Mustafa Naji, Andrei, Cristian, Andronic, Anton, Anguelov, Venelin, Antinori, Federico, Antonioli, Pietro, Apadula, Nicole, Aphecetche, Laurent Bernard, Appelshäuser, Harald, Arata, Carolina, Arcelli, Silvia, Aresti, Mauro, Arnaldi, Roberta, Arneiro, Jhoao Gabriel Martins Campos Almeida, Arsene, Ionut Cristian, Arslandok, Mesut, Augustinus, Andre, Averbeck, Ralf Peter, Azmi, Mohd Danish, Badalà, Angela, Bae, Joonsuk, Baek, Yong Wook, Bai, Xiaozhi, Bailhache, Raphaëlle, Bailung, Yoshini, Balbino, Alessandro, Baldisseri, Alberto, Balis, Bartosz, Banerjee, Debjani, Banoo, Zarina, Barbera, Roberto, Barile, Francesco, Barioglio, Luca, Barlou, Maria, Barnaföldi, Gergely Gábor, Barnby, Lee Stuart, Ramillien Barret, Valerie, Barreto De Oliveira Campos, Leonardo, Bartels, Clara, Barth, Klaus, Bartsch, Esther, Bastid, Nicole, Basu, Sumit, Batigne, Guillaume, Battistini, Daniel, Batyunya, Boris, Bauri, Dibakar, Bazo Alba, José Luis, Bearden, Ian Gardner, Beattie, Caitlin, Becht, Pascal, Behera, Debadatta, Belikov, Iouri, Bell Hechavarria, Ailec de la Caridad, Bellini, Francesca, Bellwied, Rene, Belokurova, Svetlana, Belyaev, Vladimir, Bencédi, Gyula, Beolè, Stefania, Berdnikov, Yaroslav, Berdnikova, Anastasia, Bergmann, Luisa, Besoiu, Mihaela Gabriela, Betev, Latchezar, Bhaduri, Partha Pratim, Bhasin, Anju, Bhat, Mohammad Asif, Bhattacharjee, Buddhadeb, Bianchi, Livio, Bianchi, Nicola, Bielčík, Jaroslav, Bielčíková, Jana, Biernat, Jacek, Bigot, Alexandre Patrick, Bilandzic, Ante, Biro, Gabor, Biswas, Saikat, Bize, Nicolas Luc, Blair, Justin Thomas, Blau, Dmitry S., Blidaru, Mihail-Bogdan, Bluhme, Nora, Blume, Christoph, Boca, Gianluigi, Bock, Friederike, Bodova, Tea, Bogdanov, Alexey A., Boi, Stefano, Bok, Jeongsu, Boldizsar, Laszlo, Bombara, Marek, Bond, Peter Matthew, Bonomi, Germano, Borel, Herve, Borissov, Alexander, Borquez Carcamo, Andres Gerardo, Bossi, Hannah, Botta, Elena, El Mard Bouziani, Youssef, Bratrud, Lars, Braun-Munzinger, Peter, Bregant, Marco, Broz, Michal, Bruno, Giuseppe Eugenio, Buckland, Matthew Daniel, Budnikov, Dmitry, Büsching, Henner, Bufalino, Stefania, Bühler, Paul, Buthelezi, Edith Zinhle, Bylinkin, Alexander, Bysiak, Sebastian Adam, Cai, Mengke, Caines, Helen Louise, Caliva, Alberto, Calvo Villar, Ernesto, Mejia Camacho, Juan Manuel, Camerini, Paolo, Canedo, Fabio de Moraes Canedo, Weyhmiller, Sierra Lisa, Carabas, Mihai, Amatriain Carballo, Aitor, Carnesecchi, Francesca, Caron, Robin Albert Andre, Abranches De Carvalho, Leopoldo, Castillo Castellanos, Javier Ernesto, Catalano, Fabio, Ceballos Sanchez, Cesar, Chakaberia, Irakli, Chakraborty, Pritam, Chandra, Sinjini, Chapeland, Sylvain, Chartier, Marielle, Chattopadhyay, Subhasis, Chattopadhyay, Sukalyan, Cheng, Tiantian, Cheshkov, Cvetan Valeriev, Cheynis, Brigitte, Chibante Barroso, Vasco Miguel, Chinellato, David Dobrigkeit, Chizzali, Emma Sophia, Cho, Jaeyoon, Cho, Soyeon, Chochula, Peter, Christakoglou, Panagiotis, Christensen, Christian Holm, Christiansen, Peter L., Chujo, Tatsuya, Ciacco, Mario, Cicalò, Corrado, Cindolo, Federico, Ciupek, Michael Rudolf, Clai, Giulia, Colamaria, Fabio Filippo, Colburn, Jonathan Samuel, Colella, Domenico, Colocci, Manuel, Concas, Matteo, Conesa Balbastre, Gustavo, Conesa Del Valle, Zaida, Contin, Giacomo, Contreras Nuno, Jesus Guillermo, Coquet, Maurice Louis, Cormier, Thomas Michael, Cortese, Pietro, Cosentino, Mauro Rogerio, Costa, Filippo, Costanza, Susanna, Cot, Corentin, Crkovská, Jana, Crochet, Philippe, Cruz Torres, Reynier, Cui, Pengyao, Dainese, Andrea, Danisch, Meike Charlotte, Danu, Andrea, Das, Prottay, Das, Prottoy, Das, Supriya, Dash, Archita Rani, Dash, Sadhana, De Caro, Annalisa, De Cataldo, Giacinto, Cuveland, Jan de, De Falco, Alessandro, De Gruttola, Daniele, De Marco, Nora, De Martin, Chiara, De Pasquale, Salvatore, Deb, Rohaan, Deb, Suman, Debski, Roman Jan, Deja, Kamil Rafal, Del Grande, Raffaele, Dello Stritto, Luigi, Deng, Wenjing, Dhankher, Preeti, Di Bari, Domenico, Di Mauro, Antonio, Diab, Batoul, Arteche Diaz, Raul, Dietel, Thomas, Ding, Yanchun, Divià, Roberto, Dixit, Dhruv Utpalkumar, Djuvsland, Øystein, Dmitrieva, Uliana, Dobrin, Alexandru Florin, Donigus, Benjamin, Dubinski, Jan Michal, Dubla, Andrea, Dudi, Sandeep, Dupieux, Pascal, Durkac, Martin, Dzalaiova, Natalia, Eder, Tabea Maria, Ehlers, Raymond James, III, Eisenhut, Florian, Elia, Domenico, Erazmus, Barbara Ewa, Ercolessi, Francesca, Erhardt, Filip, Ersdal, Magnus Rentsch, Espagnon, Bruno, Eulisse, Giulio, Evans, David, Evdokimov, Sergey, Fabbietti, Laura, Faggin, Mattia, Faivre, Julien, Fan, Feng, Fan, Wenqing, Fantoni, Alessandra, Fasel, Markus, Fecchio, Pietro, Feliciello, Alessandro, Feofilov, Grigori A., Fernández Téllez, Arturo, Ferrandi De Oliveira, Lucas, Bertran Ferrer, Marta, Ferrero, Andrea, Ferrero, Chiara, Ferretti, Alessandro, Feuillard, Victor Jose Gaston, Filova, Vendulka, Finogeev, Dmitry, Fionda, Fiorella Maria Celeste, Flor, Fernando Antonio, Flores, Amanda Nicole, Foertsch, Siegfried Valentin, Fokin, Ilya, Fokin, Sergey, Fragiacomo, Enrico, Frajna, Eszter, Fuchs, Ulrich, Funicello, Nicola, Furget, Christophe, Furs, Artur, Fusayasu, Takahiro, Gaardhoeje, Jens Joergen, Gagliardi, Martino, Gago Medina, Alberto Martín, Duarte Galvan, Carlos, Gangadharan, Dhevan Raja, Ganoti, Paraskevi, Garabatos Cuadrado, Jose Maria, García Chávez, Tonatiuh, Garcia-Solis, Edmundo Javier, Gargiulo, Corrado, Demmich, Katharina, Gasik, Piotr, Gautam, Amrit, Ducati, Maria Beatriz de Leone Gay, Germain, Marie, Ghimouz, Abderrahmane, Ghosh, Chandrasekhar, Giacalone, Marco, Giubellino, Paolo, Giubilato, Piero, Glaenzer, Aude Marie Camille, Glässel, Peter, Glimos, Ewa, Goh, Daniel Jia Qin, Gonzalez Sebastian, Victor Luis, Gorgon, Marek Boguslaw, Gotovac, Sven, Grabski, Varlen, Graczykowski, Łukasz Kamil, Grecka, Ekaterina, Grelli, Alessandro, Grigoraș, Costin, Grigoryev, Vladislav, Grigoryan, Smbat, Grosa, Fabrizio, Große-Oetringhaus, Jan Fiete, Grosso, Raffaele, Grund, David, Garcia Guardiano, Gabriel, Guernane, Rachid, Guilbaud, Maxime Rene Joseph, Gulbrandsen, Kristjan Herlache, Gündem, Tuba, Gunji, Taku, Guo, Wenda, Gupta, Anik, Gupta, Ramni, Gupta, Rashi, Gwizdziel, Katarzyna, Gyulai, Laszlo, Haake, Rüdiger, Habib, Michael Karim, Hadjidakis, Cynthia Marie, Haider, Fakhar Ul, Hamagaki, Hideki, Hamdi, Abdennacer, Hamid, Mohammed, Han, Younghoon, Hannigan, Ryan, Hansen, Joachim, Haque, Md Rihan, Harris, John William, Harton, Austin Vincent, Hassan, Hadi, Hatzifotiadou, Despina, Hauer, Philip, Havener, Laura Brittany, Heckel, Stefan Thomas, Hellbär, Ernst, Helstrup, Håvard, Hemmer, Marvin, Herman, Tomáš, Herrera Corral, Gerardo Antonio, Herrmann, Florian, Herrmann, Sarah Nina Edwige, Hetland, Kristin Fanebust, Heybeck, Benedict, Hillemanns, Hartmut, Hippolyte, Boris, Hoffmann, Felix Willi, Hofman, Bas, Hohlweger, Bernhard, Hong, Geunhee, Horst, Maximilian, Horzyk, Adrian, Hou, Yongzhen, Hristov, Peter, Hughes, Charles, Huhn, Patrick, Huhta, Laura Maria, Humanic, Thomas J., Hutson, Alek, Hutter, Dirk, Ilkaev, Radiy, Ilyas, Hira, Inaba, Motoi, Innocenti, Gian Michele, Ippolitov, Mikhail, Isakov, Artem, Isidori, Tommaso, Islam, Md Samsul, Ivanov, Marian, Ivanov, Vladimir, Jablonski, Miroslaw, Jacak, Barbara, Jacazio, Nicolò, Jacobs, Peter Martin, Jadlovska, Slavka, Jadlovsky, Jan, Jaelani, Syaefudin, Jahnke, Cristiane, Jakubowska, Monika Joanna, Janik, Malgorzata Anna, Janson, Thomas, Jercic, Marko, Jia, Shihai, Paz Jimenez, Alom Antonio, Jonas, Florian, Jowett, John M., Jung, Jerome, Jung, Michael, Junique, Antoine Jean-Simon, Jusko, Anton, Karwowska, Maja Jadwiga, Kaewjai, Jetnipit, Kalinak, Peter, Kalteyer, Annalena Sophie, Kalweit, Alexander Philipp, Kaplin, Vladimir, Karasu Uysal, Ayben, Karatović, David, Karavichev, Oleg V., Karavicheva, Tatiana L., Karczmarczyk, Przemyslaw, Karpechev, Evgeny, Kebschull, Udo, Keidel, Ralf, Keijdener, Darius, Keil, Markus, Ketzer, Bernhard, Khade, Swapnesh Santosh, Khan, Ahsan Mehmood, Khan, Shaista, Khanzadeev, Alexei, Kharlov, Yury, Khatun, Anisa, Khuntia, Arvind, Kidson, Miles Brower, Kileng, Bjarte, Kim, Beomkyu, Kim, Chong, Kim, Dong Jo, Kim, Eun Joo, Kim, Jaehyun, Kim, Jinsook, Junlee, Kim, Kim, Minjung, Kim, Se Yong, Kim, Taejun, Kimura, Kento, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergej N., Kisiel, Adam Ryszard, Kitowski, Jacek Pawel, Klay, Jennifer Lynn, Klein, Jochen, Klein, Spencer Robert, Klein-Bösing, Christian, Kleiner, Matthias, Klemenz, Thomas, Kluge, Alexander, Knospe, Anders Garritt, Kobdaj, Chinorat, Kollegger, Thorsten, Kondratyev, Andrey, Kondratyeva, Natalia, Kondratyuk, Evgeny, König, Joshua Leon, Königstorfer, Stephan Alexander, Konopka, Piotr Jan, Kornakov Van, Georgui, Korwieser, Maximilian, Koryciak, Sebastian Dominik, Kotliarov, Artem, Kovalenko, Vladimir, Kowalski, Marek, Kozhuharov, Venelin Valeriev, Králik, Ivan, Kravčáková, Adela, Krcal, Lubos, Krivda, Marian, Krizek, Filip, Krizkova Gajdosova, Katarina, Kroesen, Martin, Krüger, Mario, Krupová, Diana Maria, Kryshen, Evgeny, Kucera, Vit, Kuhn, Christian Claude, Kuijer, Paulus Gerardus, Kumaoka, Takuya, Kumar, Deekshit, Kumar, Lokesh, Kumar, Navneet, Kumar, Shyam, Kundu, Sourav, Kurashvili, Podist, Kurepin, Alexander, Kurepin, Alexey B., Kuryakin, Alexey, Kushpil, Svetlana, Kvapil, Jakub, Kweon, Min Jung, Kwon, Jiyeon, Kwon, Youngil, La Pointe, Sarah Louise, La Rocca, Paola, Lakrathok, Anantachai, Lamanna, Massimo, Langoy, Rune, Larionov, Pavel, Laudi, Elisa, Lautner, Lukas, Lavicka, Roman, Lazareva, Tatiana V., Lea, Ramona, Lee, Hyungjun, Legrand, Iosif-charles, Legras, Gauthier, Lehrbach, Johannes, Lelek, Tomasz Marcin, Lemmon, Roy Crawford, Leon Monzon, Ildefonso, Lesch, Marcel Markus, Lesser, Ezra Douglas, Lévai, Peter, Li, Xiaomei, Li, Xing Long, Lien, Jørgen André, Lietava, Roman, Likmeta, Iris, Lim, Bong-Hwi, Lim, Sanghoon, Lindenstruth, Volker, Lindner, Amelia, Lippmann, Christian, Liu, Alwina Ruixin, Liu, Donghai, Liu, Jian, Mckibben Lofnes, Ingrid, Loizides, Constantinos, Lokos, Sandor, Lomker, Johanna, Lončar, Petra, López, Jorge Andres, Lopez, Xavier Bernard, López Torres, Ernesto, Lu, Pengzhong, Luhder, Jens Robert, Lunardon, Marcello, Luparello, Grazia, Ma, Yu-Gang, Maevskaya, Alla, Mager, Magnus, Maire, Antonin, Makariev, Martin Vasilev, Malaev, Mikhail, Malfattore, Giovanni, Malik, Nasir Mehdi, Malik, Qasim Waheed, Malik, Salman Khurshid, Malinina, Liudmila, Mal Kevich, Dmitry, Mallick, Dukhishyam, Mallick, Neelkamal, Mandaglio, Giuseppe, Mandal, Sushobhan Kumar, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Martinengo, Paolo, Martinez, Jacobb Lee, Martínez Hernández, Mario Iván, García Martínez, Ginés, Martins Palhares, Maria Paula, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Mastroserio, Annalisa, Matonoha, Oliver, Matuoka, Paula Fernanda Toledo, Matyja, Adam Tomasz, Mayer, Christoph, Lafuente Mazuecos, Antonio, Mazzaschi, Francesco, Mazzilli, Marianna, Mdhluli, Joyful Elma, Mechler, Adrian Florin, Melikyan, Yury, Menchaca-rocha, Arturo Alejandro, Meninno, Elisa, Sasikumar Menon, Anjaly, Meres, Michal, Mhlanga, Sibaliso, Miake, Yasuo, Micheletti, Luca, Migliorin, Lucrezia Camilla, Mihaylov, Dimitar Lubomirov, Mikhaylov, Konstantin, Mishra, Aditya Nath, Czeslaw Miskowiec, Dariusz, Modak, Abhi, Mohanty, Auro Prasad, Mohanty, Bedangadas, Khan, Mohammed Mohisin, Molander, Mikael Andreas, Moravcova, Zuzana, Mordasini, Cindy, Moreira De Godoy Willems, Denise Aparecida, Morozov, Igor, Morsch, Andreas, Mrnjavac, Teo, Muccifora, Valeria, Muhuri, Sanjib, Mulligan, James Declan, Mulliri, Alice, Gameiro Munhoz, Marcelo, Munzer, Robert Helmut, Murakami, Hikari, Murray, Sean, Musa, Luciano, Musinsky, Jan, Myrcha, Julian Wojciech, Naik, Bharati, Nambrath, Anjali Ila, Nandi, Basanta Kumar, Nania, Rosario, Nappi, Eugenio, Nassirpour, Adrian Fereydon, Nath, Abhishek, Nattrass, Christine, Naydenov, Momchil Nikolaev, Neagu, Alexandra, Negru, Adrian-eduard, Nellen, Lukas, Nesbo, Simon Voigt, Nešković, Gvozden, Nesterov, Dmitrii, Nielsen, Borge Svane, Nielsen, Emil Gorm, Nikolaev, Sergey, Nikulin, Sergey, Nikulin, Vladimir, Noferini, Francesco, Noh, Seoyoung, Nomokonov, Petr V., Norman, Jaime, Novitzky, Norbert, Nowakowski, Piotr, Nyanin, Alexander, Nystrand, Joakim Ingemar, Ogino, Masanori, Ohlson, Alice, Okorokov, Vitaly A., Oleniacz, Janusz, Silva, Antonio Carlos Oliveira da, Oliver, Michael Henry, Önnerstad, Anna, Oppedisano, Chiara, Ortiz Velasquez, Antonio, Otwinowski, Jacek Tomasz, Oya, Motomi, Oyama, Ken, Pachmayer, Yvonne C., Padhan, Sonali, Pagano, Davide, Paic, Guy, Paisano Guzman, Sergio, Palasciano, Antonio, Panebianco, Stefano Matthias, Park, Hanseo, Park, Hyebin, Park, Jonghan, Parkkila, Jasper Elias, Patra, Rajendra Nath, Paul, Biswarup, Pei, Hua, Peitzmann, Thomas, Peng, Xinye, Pennisi, Michele, Pereira, Luis Gustavo, Peresunko, Dmitry Yurevich, Mesa Perez, Guillermo, Perrin, Sébastien, Pestov, Yury N., Petráček, Vojtech, Petrov, Vitalii, Petrovici, Mihai A., Pezzi, Rafael Peretti, Piano, Stefano, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pinto, Chiara, Pisano, Silvia, Płoskoń, Mateusz, Planinic, Mirko, Pliquett, Fabian, Poghosyan, Martin G., Polishchuk, Boris, Politano, Stefano, Poljak, Nikola, Pop, Amalia, Porteboeuf, Sarah Julie, Pozdniakov, Valerii, Yoval Pozos, Irandheny, Pradhan, Kshitish Kumar, Prasad, Sidharth Kumar, Prasad, Suraj, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude A., Pshenichnov, Igor A., Puccio, Maximiliano, Pucillo, Sara, Pugelova, Zuzana, Qiu, Shi, Quaglia, Luca, Quishpe Quishpe, Raquel Estefania, Ragoni, Simone, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Rami, Fouad, Rancien, Thibaut Albert, Rasa, Marika, Räsänen, Sami Sakari, Rath, Rutuparna, Rauch, Max Philip, Ravasenga, Ivan, Read, Kenneth Francis, Reckziegel, Christian, Redelbach, Andreas Ralph, Redlich, Krzysztof, Reetz, Carolina Anna, Regules Medel, Hector David, Rehman, Attiq ur, Reidt, Felix, Reme-Ness, Haakon André, Jakubcinova, Zuzana, Reygers, Klaus, Riabov, Andrei, Riabov, Viktor, Ricci, Riccardo, Richter, Matthias Rudolph, Riedel, Anton Albert, Riegler, Werner, Ristea, Cătălin-Lucian, Rodrı́guez Cahuantzi, Mario, Rodríguez Ramírez, Saúl Aníbal, Røed, Ketil, Rogalev, Roman, Rogochaya, Elena, Rogoschinski, Tim Sebastian, Rohr, David, Röhrich, Dieter, Fierro Rojas, Pablo, Rojas Torres, Solangel, Rokita, Przemyslaw Stefan, Romanenko, Gleb, Ronchetti, Federico, Rosano, Antonina, Dominguez Rosas, Edgar, Rosłon, Krystian, Rossi, Andrea, Roy, Ankhi, Roy, Subhadeep, Rubini, Nicola, Ruggiano, Daniela, Rui, Rinaldo, Russek, Pawel Grzegorz, Russo, Roberto, Rustamov, Anar, Ryabinkin, Evgeny, Ryabov, Yury, Rybicki, Andrzej Krzysztof, Rytkönen, Heidi Maria, Rzęsa, Wioleta, Saarimäki, Oskari Antti Matti, Sadek, Rita, Sadhu, Samrangy, Sadovskiy, Sergey, Sætre, Jon-are, Šafařík, Karel, Saha, Pallabi, Saha, Sumit Kumar, Saha, Swati, Sahoo, Baidyanath, Sahoo, Bhagyarathi, Sahoo, Raghunath, Sahoo, Sarita, Sahu, Dushmanta, Sahu, Pradip Kumar, Saini, Jogender, Tropp, Klaudia, Sakai, Shingo, Panikkassery Salvan, Malavika, Sambyal, Sanjeev Singh, Sanna, Isabella, Saramela, Thiago Badaró, Sarkar, Debojit, Sarkar, Nachiketa, Sarma, Pranjal, Sarritzu, Valerio, Mantovani Sarti, Valentina, Sas, Mike Henry Petrus, Schambach, Johann Joachim, Scheid, Horst Sebastian, Schiaua, Claudiu Cornel, Schicker, Rainer, Schmah, Alexander, Schmidt, Christian Joachim, Schmidt, Hans Rudolf, Schmidt, Marten Ole, Schmidt, Martin, Schmidt, Nicolas, Schmier, Austin Robert, Schotter, Romain, Wilhelmi, Alexander, Schukraft, Jürgen, Schwarz, Kilian Eberhard, Schweda, Kai Oliver, Scioli, Gilda, Scomparin, Enrico, Seger, Janet Elizabeth, Sekiguchi, Yuko, Sekihata, Daiki, Selyuzhenkov, Ilya, Senyukov, Serhiy, Seo, Jin Joo, Serebryakov, Dmitry, Šerkšnytė, Laura, Sevcenco, Adrian, Shaba, Tebogo Joyce, Shabetai, Alexandre, Shahoyan, Ruben, Shangaraev, Artem, Sharma, Anjali, Sharma, Binti, Sharma, Deependra, Sharma, Himanshu, Sharma, Meenakshi, Sharma, Samarth, Sharma, Sheetal, Sharma, Upasana, Shatat, Afnan, Sheibani, Oveis, Shigaki, Kenta, Hachiya Shimomura, Maya, Shin, Jaehyuck, Shirinkin, Sergey, Shou, Qiye, Sibiryak, Yury, Siddhanta, Sabyasachi, Siemiarczuk, Teodor, Silva, Tiago Fiorini da, Silvermyr, David Olle Rickard, Simantathammakul, Tawanchat, Simeonov, Radoslav, Singh, Balwan, Singh, Bhawani, Singh, Ranbir, Singh, Randhir, Singh, Ravindra, Singh, Sweta, Singh, Vivek, Singhal, Vikas, Sarkar - Sinha, Tinku, Sitar, Branislav, Sitta, Mario, Skaali, Toralf Bernhard, Skorodumovs, Georgijs, Slupecki, Maciej, Smirnov, Nikolai, Snellings, Raimond, Haugland Solheim, Emilie, Song, Jihye, Songmoolnak, Arnon, Sonnabend, Christian, Soramel, Francesca, Soto-hernandez, Analyce Bella, Spijkers, Rik, Sputowska, Iwona Anna, Staa, Joey, Stachel, Johanna, Stan, Ionel, Steffanic, Patrick John, Stiefelmaier, Stephan, Stocco, Diego, Storehaug, Ida, Stratmann, Peter, Strazzi, Sofia, Pliatskas Stylianidis, Christos, Suaide, Alexandre Alarcon do Passo, Suire, Christophe Pierre, Sukhanov, Mikhail, Šuljić, Miljenko, Sultanov, Rishat, Sumberia, Vikash, Sumowidagdo, Suharyo, Swain, Sagarika, Szarka, Imrich, Szymkowski, Maciej, Taghavi, Seyed Farid, Taillepied, Guillaume, Takahashi, Jun, Tambave, Ganesh Jagannath, Tang, Siyu, Tang, Zebo, Tapia Takaki, Jesus Daniel, Tapus, Nicolae, Tarasovicova, Lucia Anna, Tarzila, Madalina-Gabriela, Tassielli, Giovanni Francesco, Tauro, Arturo, Tejeda Muñoz, Guillermo, Telesca, Adriana, Terlizzi, Livia, Terrevoli, Cristina, Thakur, Sanchari, Thomas, Deepa, Tikhonov, Anatoly, Timmins, Anthony Robert, Tkacik, Milan, Tkacik, Tomas, Toia, Alberica, Tokumoto, Ryoka, Topilskaya, Nataliya, Toppi, Marco, Torales Acosta, Fernando, Tork, Theraa M.A., Torres Ramos, Arianna Grisel, Trifiro, Antonio, Triolo, Andrea Sofia, Tripathy, Sushanta, Tripathy, Tulika, Trogolo, Stefano, Trubnikov, Victor, Trzaska, Wladyslaw Henryk, Trzcinski, Tomasz Piotr, Tumkin, Alexandr, Turrisi, Rosario, Tveter, Trine Spedstad, Ullaland, Kjetil, Ulukutlu, Berkin, Uras, Antonio, Urioni, Marta, Usai, Gianluca, Vala, Martin, Valle, Nicolò, Doremalen, Lennart Vincent Rogier van, Leeuwen, Marco van, Van Veen, Casper Arie, Weelden, Roelof Jan Gijs van, Vyvre, Pierre vande, Varga, Dezsö, Varga, Zoltán, Vasileiou, Maria, Vasiliev, 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Yin, Zhongbao, Yoo, In-Kwon, Yoon, Jin Hee, Yuan, Shiming, Yüncü, Alperen, Zaccolo, Valentina, Zampolli, Chiara, Zanone, Federica, Zardoshti, Nima, Zarochentsev, Andrey, Závada, Petr, Zavyalov, Nikolay, Zhalov, Mikhail, Zhang, Biao, Zhang, Liuyao, Zhang, Song, Zhang, Xiaoming, Zhang, Yifei, Zhang, Zhen, Zhao, Mingrui, Zherebchevskii, Vladimir, Yu, Zhi, Zhou, Daicui, Zhou, You, Zhu, Jianhui, Zhu, Ya, Zugravel, Stefan Cristi, Zurlo, Nicola, Acharya, Shreyasi, Adamová, Dagmar, Adler, Alexander, Aglieri Rinella, Gianluca, Agnello, Michelangelo, Agrawal, Neelima, Ahammed, Zubayer, Ahmad, Shakeel, Ahn, Sang Un, Ahuja, Ishaan, Akindinov, Alexander, Al-Turany, Mohammad, Aleksandrov, Dmitry, Alessandro, Bruno, Alfanda, Haidar Mas’ud, Alfaro Molina, Jose Ruben, Ali, Bushra, Alici, Andrea, Alizadehvandchali, Negin, Alkin, Anton, Alme, Johan, Alocco, Giacomo, Alt, Torsten, Altsybeev, Igor, Alvarado Garcia, Jesús Ricardo, Anaam, Mustafa Naji, Andrei, Cristian, Andronic, Anton, Anguelov, Venelin, Antinori, Federico, Antonioli, Pietro, Apadula, Nicole, Aphecetche, Laurent Bernard, Appelshäuser, Harald, Arata, Carolina, Arcelli, Silvia, Aresti, Mauro, Arnaldi, Roberta, Arneiro, Jhoao Gabriel Martins Campos Almeida, Arsene, Ionut Cristian, Arslandok, Mesut, Augustinus, Andre, Averbeck, Ralf Peter, Azmi, Mohd Danish, Badalà, Angela, Bae, Joonsuk, Baek, Yong Wook, Bai, Xiaozhi, Bailhache, Raphaëlle, Bailung, Yoshini, Balbino, Alessandro, Baldisseri, Alberto, Balis, Bartosz, Banerjee, Debjani, Banoo, Zarina, Barbera, Roberto, Barile, Francesco, Barioglio, Luca, Barlou, Maria, Barnaföldi, Gergely Gábor, Barnby, Lee Stuart, Ramillien Barret, Valerie, Barreto De Oliveira Campos, Leonardo, Bartels, Clara, Barth, Klaus, Bartsch, Esther, Bastid, Nicole, Basu, Sumit, Batigne, Guillaume, Battistini, Daniel, Batyunya, Boris, Bauri, Dibakar, Bazo Alba, José Luis, Bearden, Ian Gardner, Beattie, Caitlin, Becht, Pascal, Behera, Debadatta, Belikov, Iouri, Bell Hechavarria, Ailec de 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Corrado, Cindolo, Federico, Ciupek, Michael Rudolf, Clai, Giulia, Colamaria, Fabio Filippo, Colburn, Jonathan Samuel, Colella, Domenico, Colocci, Manuel, Concas, Matteo, Conesa Balbastre, Gustavo, Conesa Del Valle, Zaida, Contin, Giacomo, Contreras Nuno, Jesus Guillermo, Coquet, Maurice Louis, Cormier, Thomas Michael, Cortese, Pietro, Cosentino, Mauro Rogerio, Costa, Filippo, Costanza, Susanna, Cot, Corentin, Crkovská, Jana, Crochet, Philippe, Cruz Torres, Reynier, Cui, Pengyao, Dainese, Andrea, Danisch, Meike Charlotte, Danu, Andrea, Das, Prottay, Das, Prottoy, Das, Supriya, Dash, Archita Rani, Dash, Sadhana, De Caro, Annalisa, De Cataldo, Giacinto, Cuveland, Jan de, De Falco, Alessandro, De Gruttola, Daniele, De Marco, Nora, De Martin, Chiara, De Pasquale, Salvatore, Deb, Rohaan, Deb, Suman, Debski, Roman Jan, Deja, Kamil Rafal, Del Grande, Raffaele, Dello Stritto, Luigi, Deng, Wenjing, Dhankher, Preeti, Di Bari, Domenico, Di Mauro, Antonio, Diab, Batoul, Arteche Diaz, Raul, Dietel, Thomas, Ding, Yanchun, Divià, Roberto, Dixit, Dhruv Utpalkumar, Djuvsland, Øystein, Dmitrieva, Uliana, Dobrin, Alexandru Florin, Donigus, Benjamin, Dubinski, Jan Michal, Dubla, Andrea, Dudi, Sandeep, Dupieux, Pascal, Durkac, Martin, Dzalaiova, Natalia, Eder, Tabea Maria, Ehlers, Raymond James, III, Eisenhut, Florian, Elia, Domenico, Erazmus, Barbara Ewa, Ercolessi, Francesca, Erhardt, Filip, Ersdal, Magnus Rentsch, Espagnon, Bruno, Eulisse, Giulio, Evans, David, Evdokimov, Sergey, Fabbietti, Laura, Faggin, Mattia, Faivre, Julien, Fan, Feng, Fan, Wenqing, Fantoni, Alessandra, Fasel, Markus, Fecchio, Pietro, Feliciello, Alessandro, Feofilov, Grigori A., Fernández Téllez, Arturo, Ferrandi De Oliveira, Lucas, Bertran Ferrer, Marta, Ferrero, Andrea, Ferrero, Chiara, Ferretti, Alessandro, Feuillard, Victor Jose Gaston, Filova, Vendulka, Finogeev, Dmitry, Fionda, Fiorella Maria Celeste, Flor, Fernando Antonio, Flores, Amanda Nicole, Foertsch, Siegfried Valentin, Fokin, Ilya, Fokin, Sergey, Fragiacomo, Enrico, Frajna, Eszter, Fuchs, Ulrich, Funicello, Nicola, Furget, Christophe, Furs, Artur, Fusayasu, Takahiro, Gaardhoeje, Jens Joergen, Gagliardi, Martino, Gago Medina, Alberto Martín, Duarte Galvan, Carlos, Gangadharan, Dhevan Raja, Ganoti, Paraskevi, Garabatos Cuadrado, Jose Maria, García Chávez, Tonatiuh, Garcia-Solis, Edmundo Javier, Gargiulo, Corrado, Demmich, Katharina, Gasik, Piotr, Gautam, Amrit, Ducati, Maria Beatriz de Leone Gay, Germain, Marie, Ghimouz, Abderrahmane, Ghosh, Chandrasekhar, Giacalone, Marco, Giubellino, Paolo, Giubilato, Piero, Glaenzer, Aude Marie Camille, Glässel, Peter, Glimos, Ewa, Goh, Daniel Jia Qin, Gonzalez Sebastian, Victor Luis, Gorgon, Marek Boguslaw, Gotovac, Sven, Grabski, Varlen, Graczykowski, Łukasz Kamil, Grecka, Ekaterina, Grelli, Alessandro, Grigoraș, Costin, Grigoryev, Vladislav, Grigoryan, Smbat, Grosa, Fabrizio, Große-Oetringhaus, Jan Fiete, Grosso, Raffaele, Grund, David, Garcia Guardiano, Gabriel, Guernane, Rachid, Guilbaud, Maxime Rene Joseph, Gulbrandsen, Kristjan Herlache, Gündem, Tuba, Gunji, Taku, Guo, Wenda, Gupta, Anik, Gupta, Ramni, Gupta, Rashi, Gwizdziel, Katarzyna, Gyulai, Laszlo, Haake, Rüdiger, Habib, Michael Karim, Hadjidakis, Cynthia Marie, Haider, Fakhar Ul, Hamagaki, Hideki, Hamdi, Abdennacer, Hamid, Mohammed, Han, Younghoon, Hannigan, Ryan, Hansen, Joachim, Haque, Md Rihan, Harris, John William, Harton, Austin Vincent, Hassan, Hadi, Hatzifotiadou, Despina, Hauer, Philip, Havener, Laura Brittany, Heckel, Stefan Thomas, Hellbär, Ernst, Helstrup, Håvard, Hemmer, Marvin, Herman, Tomáš, Herrera Corral, Gerardo Antonio, Herrmann, Florian, Herrmann, Sarah Nina Edwige, Hetland, Kristin Fanebust, Heybeck, Benedict, Hillemanns, Hartmut, Hippolyte, Boris, Hoffmann, Felix Willi, Hofman, Bas, Hohlweger, Bernhard, Hong, Geunhee, Horst, Maximilian, Horzyk, Adrian, Hou, Yongzhen, Hristov, Peter, Hughes, Charles, Huhn, Patrick, Huhta, Laura Maria, Humanic, Thomas J., Hutson, Alek, Hutter, Dirk, Ilkaev, Radiy, Ilyas, Hira, Inaba, Motoi, Innocenti, Gian Michele, Ippolitov, Mikhail, Isakov, Artem, Isidori, Tommaso, Islam, Md Samsul, Ivanov, Marian, Ivanov, Vladimir, Jablonski, Miroslaw, Jacak, Barbara, Jacazio, Nicolò, Jacobs, Peter Martin, Jadlovska, Slavka, Jadlovsky, Jan, Jaelani, Syaefudin, Jahnke, Cristiane, Jakubowska, Monika Joanna, Janik, Malgorzata Anna, Janson, Thomas, Jercic, Marko, Jia, Shihai, Paz Jimenez, Alom Antonio, Jonas, Florian, Jowett, John M., Jung, Jerome, Jung, Michael, Junique, Antoine Jean-Simon, Jusko, Anton, Karwowska, Maja Jadwiga, Kaewjai, Jetnipit, Kalinak, Peter, Kalteyer, Annalena Sophie, Kalweit, Alexander Philipp, Kaplin, Vladimir, Karasu Uysal, Ayben, Karatović, David, Karavichev, Oleg V., Karavicheva, Tatiana L., Karczmarczyk, Przemyslaw, Karpechev, Evgeny, Kebschull, Udo, Keidel, Ralf, Keijdener, Darius, Keil, Markus, Ketzer, Bernhard, Khade, Swapnesh Santosh, Khan, Ahsan Mehmood, Khan, Shaista, Khanzadeev, Alexei, Kharlov, Yury, Khatun, Anisa, Khuntia, Arvind, Kidson, Miles Brower, Kileng, Bjarte, Kim, Beomkyu, Kim, Chong, Kim, Dong Jo, Kim, Eun Joo, Kim, Jaehyun, Kim, Jinsook, Junlee, Kim, Kim, Minjung, Kim, Se Yong, Kim, Taejun, Kimura, Kento, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergej N., Kisiel, Adam Ryszard, Kitowski, Jacek Pawel, Klay, Jennifer Lynn, Klein, Jochen, Klein, Spencer Robert, Klein-Bösing, Christian, Kleiner, Matthias, Klemenz, Thomas, Kluge, Alexander, Knospe, Anders Garritt, Kobdaj, Chinorat, Kollegger, Thorsten, Kondratyev, Andrey, Kondratyeva, Natalia, Kondratyuk, Evgeny, König, Joshua Leon, Königstorfer, Stephan Alexander, Konopka, Piotr Jan, Kornakov Van, Georgui, Korwieser, Maximilian, Koryciak, Sebastian Dominik, Kotliarov, Artem, Kovalenko, Vladimir, Kowalski, Marek, Kozhuharov, Venelin Valeriev, Králik, Ivan, Kravčáková, Adela, Krcal, Lubos, Krivda, Marian, Krizek, Filip, Krizkova Gajdosova, Katarina, Kroesen, Martin, Krüger, Mario, Krupová, Diana Maria, Kryshen, Evgeny, Kucera, Vit, Kuhn, Christian Claude, Kuijer, Paulus Gerardus, Kumaoka, Takuya, Kumar, Deekshit, Kumar, Lokesh, Kumar, Navneet, Kumar, Shyam, Kundu, Sourav, Kurashvili, Podist, Kurepin, Alexander, Kurepin, Alexey B., Kuryakin, Alexey, Kushpil, Svetlana, Kvapil, Jakub, Kweon, Min Jung, Kwon, Jiyeon, Kwon, Youngil, La Pointe, Sarah Louise, La Rocca, Paola, Lakrathok, Anantachai, Lamanna, Massimo, Langoy, Rune, Larionov, Pavel, Laudi, Elisa, Lautner, Lukas, Lavicka, Roman, Lazareva, Tatiana V., Lea, Ramona, Lee, Hyungjun, Legrand, Iosif-charles, Legras, Gauthier, Lehrbach, Johannes, Lelek, Tomasz Marcin, Lemmon, Roy Crawford, Leon Monzon, Ildefonso, Lesch, Marcel Markus, Lesser, Ezra Douglas, Lévai, Peter, Li, Xiaomei, Li, Xing Long, Lien, Jørgen André, Lietava, Roman, Likmeta, Iris, Lim, Bong-Hwi, Lim, Sanghoon, Lindenstruth, Volker, Lindner, Amelia, Lippmann, Christian, Liu, Alwina Ruixin, Liu, Donghai, Liu, Jian, Mckibben Lofnes, Ingrid, Loizides, Constantinos, Lokos, Sandor, Lomker, Johanna, Lončar, Petra, López, Jorge Andres, Lopez, Xavier Bernard, López Torres, Ernesto, Lu, Pengzhong, Luhder, Jens Robert, Lunardon, Marcello, Luparello, Grazia, Ma, Yu-Gang, Maevskaya, Alla, Mager, Magnus, Maire, Antonin, Makariev, Martin Vasilev, Malaev, Mikhail, Malfattore, Giovanni, Malik, Nasir Mehdi, Malik, Qasim Waheed, Malik, Salman Khurshid, Malinina, Liudmila, Mal Kevich, Dmitry, Mallick, Dukhishyam, Mallick, Neelkamal, Mandaglio, Giuseppe, Mandal, Sushobhan Kumar, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Martinengo, Paolo, Martinez, Jacobb Lee, Martínez Hernández, Mario Iván, García Martínez, Ginés, Martins Palhares, Maria Paula, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Mastroserio, Annalisa, Matonoha, Oliver, Matuoka, Paula Fernanda Toledo, Matyja, Adam Tomasz, Mayer, Christoph, Lafuente Mazuecos, Antonio, Mazzaschi, Francesco, Mazzilli, Marianna, Mdhluli, Joyful Elma, Mechler, Adrian Florin, Melikyan, Yury, Menchaca-rocha, Arturo Alejandro, Meninno, Elisa, Sasikumar Menon, Anjaly, Meres, Michal, Mhlanga, Sibaliso, Miake, Yasuo, Micheletti, Luca, Migliorin, Lucrezia Camilla, Mihaylov, Dimitar Lubomirov, Mikhaylov, Konstantin, Mishra, Aditya Nath, Czeslaw Miskowiec, Dariusz, Modak, Abhi, Mohanty, Auro Prasad, Mohanty, Bedangadas, Khan, Mohammed Mohisin, Molander, Mikael Andreas, Moravcova, Zuzana, Mordasini, Cindy, Moreira De Godoy Willems, Denise Aparecida, Morozov, Igor, Morsch, Andreas, Mrnjavac, Teo, Muccifora, Valeria, Muhuri, Sanjib, Mulligan, James Declan, Mulliri, Alice, Gameiro Munhoz, Marcelo, Munzer, Robert Helmut, Murakami, Hikari, Murray, Sean, Musa, Luciano, Musinsky, Jan, Myrcha, Julian Wojciech, Naik, Bharati, Nambrath, Anjali Ila, Nandi, Basanta Kumar, Nania, Rosario, Nappi, Eugenio, Nassirpour, Adrian Fereydon, Nath, Abhishek, Nattrass, Christine, Naydenov, Momchil Nikolaev, Neagu, Alexandra, Negru, Adrian-eduard, Nellen, Lukas, Nesbo, Simon Voigt, Nešković, Gvozden, Nesterov, Dmitrii, Nielsen, Borge Svane, Nielsen, Emil Gorm, Nikolaev, Sergey, Nikulin, Sergey, Nikulin, Vladimir, Noferini, Francesco, Noh, Seoyoung, Nomokonov, Petr V., Norman, Jaime, Novitzky, Norbert, Nowakowski, Piotr, Nyanin, Alexander, Nystrand, Joakim Ingemar, Ogino, Masanori, Ohlson, Alice, Okorokov, Vitaly A., Oleniacz, Janusz, Silva, Antonio Carlos Oliveira da, Oliver, Michael Henry, Önnerstad, Anna, Oppedisano, Chiara, Ortiz Velasquez, Antonio, Otwinowski, Jacek Tomasz, Oya, Motomi, Oyama, Ken, Pachmayer, Yvonne C., Padhan, Sonali, Pagano, Davide, Paic, Guy, Paisano Guzman, Sergio, Palasciano, Antonio, Panebianco, Stefano Matthias, Park, Hanseo, Park, Hyebin, Park, Jonghan, Parkkila, Jasper Elias, Patra, Rajendra Nath, Paul, Biswarup, Pei, Hua, Peitzmann, Thomas, Peng, Xinye, Pennisi, Michele, Pereira, Luis Gustavo, Peresunko, Dmitry Yurevich, Mesa Perez, Guillermo, Perrin, Sébastien, Pestov, Yury N., Petráček, Vojtech, Petrov, Vitalii, Petrovici, Mihai A., Pezzi, Rafael Peretti, Piano, Stefano, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pinto, Chiara, Pisano, Silvia, Płoskoń, Mateusz, Planinic, Mirko, Pliquett, Fabian, Poghosyan, Martin G., Polishchuk, Boris, Politano, Stefano, Poljak, Nikola, Pop, Amalia, Porteboeuf, Sarah Julie, Pozdniakov, Valerii, Yoval Pozos, Irandheny, Pradhan, Kshitish Kumar, Prasad, Sidharth Kumar, Prasad, Suraj, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude A., Pshenichnov, Igor A., Puccio, Maximiliano, Pucillo, Sara, Pugelova, Zuzana, Qiu, Shi, Quaglia, Luca, Quishpe Quishpe, Raquel Estefania, Ragoni, Simone, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Rami, Fouad, Rancien, Thibaut Albert, Rasa, Marika, Räsänen, Sami Sakari, Rath, Rutuparna, Rauch, Max Philip, Ravasenga, Ivan, Read, Kenneth Francis, Reckziegel, Christian, Redelbach, Andreas Ralph, Redlich, Krzysztof, Reetz, Carolina Anna, 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Abstract: The ALICE Collaboration reports a differential measurement of inclusive jet suppression using pp and Pb−Pb collision data at a center-of-mass energy per nucleon-nucleon collision sNN−−−√=5.02 TeV. Charged-particle jets are reconstructed using the anti-kT algorithm with resolution parameters R= 0.2, 0.3, 0.4, 0.5, and 0.6 in pp collisions and R= 0.2, 0.4, 0.6 in central (0−10%), semi-central (30−50%), and peripheral (60−80%) Pb−Pb collisions. A novel approach based on machine learning is employed to mitigate the influence of jet background. This enables measurements of inclusive jet suppression in new regions of phase space, including down to the lowest jet pT≥40 GeV/c at R=0.6 in central Pb−Pb collisions. This is an important step for discriminating different models of jet quenching in the quark-gluon plasma. The transverse momentum spectra, nuclear modification factors, derived cross section, and nuclear modification factor ratios for different jet resolution parameters of charged-particle jets are presented and compared to model predictions. A mild dependence of the nuclear modification factor ratios on collision centrality and resolution parameter is observed. The results are compared to a variety of jet-quenching models with varying levels of agreement.
Published: 2024

22. Probing the Chiral Magnetic Wave with charge-dependent flow measurements in Pb-Pb collisions at the LHC

Author: Acharya, Shreyasi, Adamová, Dagmar, Aglieri Rinella, Gianluca, Agnello, Michelangelo, Agrawal, Neelima, Ahammed, Zubayer, Ahmad, Shakeel, Ahn, Sang Un, Ahuja, Ishaan, Akindinov, Alexander, Al-Turany, Mohammad, Aleksandrov, Dmitry, Alessandro, Bruno, Alfanda, Haidar Mas’ud, Alfaro Molina, Jose Ruben, Ali, Bushra, Alici, Andrea, Alizadehvandchali, Negin, Alkin, Anton, Alme, Johan, Alocco, Giacomo, Alt, Torsten, Altamura, Anna Rita, Altsybeev, Igor, Alvarado Garcia, Jesús Ricardo, Anaam, Mustafa Naji, Andrei, Cristian, Andreou, Nicodemos, Andronic, Anton, Anguelov, Venelin, Antinori, Federico, Antonioli, Pietro, Apadula, Nicole, Aphecetche, Laurent Bernard, Appelshäuser, Harald, Arata, Carolina, Arcelli, Silvia, Aresti, Mauro, Arnaldi, Roberta, Arneiro, Jhoao Gabriel Martins Campos Almeida, Arsene, Ionut Cristian, Arslandok, Mesut, Augustinus, Andre, Averbeck, Ralf Peter, Azmi, Mohd Danish, Baba, Hitoshi, Badalà, Angela, Bae, Joonsuk, Baek, Yong Wook, Bai, Xiaozhi, Bailhache, Raphaëlle, Bailung, Yoshini, Balbino, Alessandro, Baldisseri, Alberto, Balis, Bartosz, Banerjee, Debjani, Banoo, Zarina, Barbera, Roberto, Barile, Francesco, Barioglio, Luca, Barlou, Maria, Barman, Banajit, Barnaföldi, Gergely Gábor, Barnby, Lee Stuart, Ramillien Barret, Valerie, Barreto De Oliveira Campos, Leonardo, Bartels, Clara, Barth, Klaus, Bartsch, Esther, Bastid, Nicole, Basu, Sumit, Batigne, Guillaume, Battistini, Daniel, Batyunya, Boris, Bauri, Dibakar, Bazo Alba, José Luis, Bearden, Ian Gardner, Beattie, Caitlin, Becht, Pascal, Behera, Debadatta, Belikov, Iouri, Bell Hechavarria, Ailec de la Caridad, Bellini, Francesca, Bellwied, Rene, Belokurova, Svetlana, Vasquez Beltran, Yael Antonio, Bencédi, Gyula, Beolè, Stefania, Berdnikov, Yaroslav, Berdnikova, Anastasia, Bergmann, Luisa, Besoiu, Mihaela Gabriela, Betev, Latchezar, Bhaduri, Partha Pratim, Bhasin, Anju, Bhat, Mohammad Asif, Bhattacharjee, Buddhadeb, Bianchi, Livio, Bianchi, Nicola, Bielčík, Jaroslav, 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Endrup, Jablonski, Miroslaw, Jacak, Barbara, Jacazio, Nicolò, Jacobs, Peter Martin, Jadlovska, Slavka, Jadlovsky, Jan, Jaelani, Syaefudin, Jahnke, Cristiane, Jakubowska, Monika Joanna, Janik, Malgorzata Anna, Janson, Thomas, Ji, Su-jeong, Jia, Shihai, Paz Jimenez, Alom Antonio, Jonas, Florian, Jones, Daniel Matthew, Jowett, John M., Jung, Jerome, Jung, Michael, Junique, Antoine Jean-Simon, Jusko, Anton, Karwowska, Maja Jadwiga, Kaewjai, Jetnipit, Kalinak, Peter, Kalteyer, Annalena Sophie, Kalweit, Alexander Philipp, Kaplin, Vladimir, Karasu Uysal, Ayben, Karatović, David, Karavichev, Oleg V., Karavicheva, Tatiana L., Karczmarczyk, Przemyslaw, Karpechev, Evgeny, Kebschull, Udo, Keidel, Ralf, Keijdener, D.L. D., Keil, Markus, Ketzer, Bernhard, Khade, Swapnesh Santosh, Khan, Ahsan Mehmood, Khan, Shaista, Khanzadeev, Alexei, Kharlov, Yury, Khatun, Anisa, Khuntia, Arvind, Kileng, Bjarte, Kim, Beomkyu, Kim, Chong, Kim, Dong Jo, Kim, Eun Joo, Kim, Jaehyun, Kim, Jinsook, Kim, Jiyoung, Kim, Junlee, Kim, Minjung, Kim, Se Yong, Kim, Taejun, Kimura, Kento, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergej N., Kisiel, Adam Ryszard, Kitowski, Jacek Pawel, Klay, Jennifer Lynn, Klein, Jochen, Klein, Spencer Robert, Klein-Bösing, Christian, Kleiner, Matthias, Klemenz, Thomas, Kluge, Alexander, Knospe, Anders Garritt, Kobdaj, Chinorat, Kollegger, Thorsten, Kondratyev, Andrey, Kondratyeva, Natalia, Kondratyuk, Evgeny, König, Joshua Leon, Königstorfer, Stephan Alexander, Konopka, Piotr Jan, Kornakov Van, Georgui, Korwieser, Maximilian, Koryciak, Sebastian Dominik, Kotliarov, Artem, Kovalenko, Vladimir, Kowalski, Marek, Kozhuharov, Venelin Valeriev, Králik, Ivan, Kravčáková, Adela, Krcal, Lubos, Krivda, 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D., Keil, Markus, Ketzer, Bernhard, Khade, Swapnesh Santosh, Khan, Ahsan Mehmood, Khan, Shaista, Khanzadeev, Alexei, Kharlov, Yury, Khatun, Anisa, Khuntia, Arvind, Kileng, Bjarte, Kim, Beomkyu, Kim, Chong, Kim, Dong Jo, Kim, Eun Joo, Kim, Jaehyun, Kim, Jinsook, Kim, Jiyoung, Kim, Junlee, Kim, Minjung, Kim, Se Yong, Kim, Taejun, Kimura, Kento, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergej N., Kisiel, Adam Ryszard, Kitowski, Jacek Pawel, Klay, Jennifer Lynn, Klein, Jochen, Klein, Spencer Robert, Klein-Bösing, Christian, Kleiner, Matthias, Klemenz, Thomas, Kluge, Alexander, Knospe, Anders Garritt, Kobdaj, Chinorat, Kollegger, Thorsten, Kondratyev, Andrey, Kondratyeva, Natalia, Kondratyuk, Evgeny, König, Joshua Leon, Königstorfer, Stephan Alexander, Konopka, Piotr Jan, Kornakov Van, Georgui, Korwieser, Maximilian, Koryciak, Sebastian Dominik, Kotliarov, Artem, Kovalenko, Vladimir, Kowalski, Marek, Kozhuharov, Venelin Valeriev, Králik, Ivan, Kravčáková, Adela, Krcal, Lubos, Krivda, Marian, Krizek, Filip, Krizkova Gajdosova, Katarina, Kroesen, Martin, Krüger, Mario, Krupova, Diana Maria, Kryshen, Evgeny, Kucera, Vit, Kuhn, Christian Claude, Kuijer, Paulus Gerardus, Kumaoka, Takuya, Kumar, Deekshit, Kumar, Lokesh, Kumar, Navneet, Kumar, Shyam, Kundu, Sourav, Kurashvili, Podist, Kurepin, Alexander, Kurepin, Alexey B., Kuryakin, Alexey, Kushpil, Svetlana, Kuskov, Vladislav, Kweon, Min Jung, Kwon, Youngil, La Pointe, Sarah Louise, La Rocca, Paola, Lakrathok, Anantachai, Lamanna, Massimo, Landou, Aimeric Robin, Langoy, Rune, Larionov, Pavel, Laudi, Elisa, Lautner, Lukas, Lavicka, Roman, Lea, Ramona, Lee, Hyungjun, Legrand, Iosif-charles, Legras, Gauthier, Lehrbach, Johannes, Lelek, Tomasz Marcin, Lemmon, Roy Crawford, Leon Monzon, Ildefonso, Lesch, Marcel Markus, Lesser, Ezra Douglas, Lévai, Peter, Li, Xiaomei, Lien, Jørgen André, Lietava, Roman, Likmeta, Iris, Lim, Bong-Hwi, Lim, Sanghoon, Lindenstruth, Volker, Lindner, Amelia, Lippmann, Christian, Liu, Donghai, Liu, Jian, Setoue Liveraro, Gianni Shigeru, Mckibben Lofnes, Ingrid, Loizides, Constantinos, Lokos, Sandor, Lomker, Johanna, Lončar, Petra, Lopez, Xavier Bernard, López Torres, Ernesto, Lu, Pengzhong, Lugo, Fabiola Viridiana, Luhder, Jens Robert, Lunardon, Marcello, Luparello, Grazia, Ma, Yu-Gang, Mager, Magnus, Maire, Antonin, Majerz, Emilia Maria, Makariev, Martin Vasilev, Malaev, Mikhail, Malfattore, Giovanni, Malik, Nasir Mehdi, Malik, Qasim Waheed, Malik, Salman Khurshid, Malinina, Liudmila, Mallick, Dukhishyam, Mallick, Neelkamal, Mandaglio, Giuseppe, Mandal, Sushobhan Kumar, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Marcjan, Robert Waclaw, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Martinengo, Paolo, Martínez Hernández, Mario Iván, García Martínez, Ginés, Martins Palhares, Maria Paula, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Massen, Olaf, Mastroserio, Annalisa, Matonoha, Oliver, Mattiazzo, Serena, Matyja, Adam Tomasz, Mayer, Christoph, Lafuente Mazuecos, Antonio, Mazzaschi, Francesco, Mazzilli, Marianna, Mdhluli, Joyful Elma, Melikyan, Yury, Menchaca-rocha, Arturo Alejandro, Munoz Mendez, Jesus Eduardo, Meninno, Elisa, Sasikumar Menon, Anjaly, Meres, Michal, Mhlanga, Sibaliso, Miake, Yasuo, Micheletti, Luca, Mihaylov, Dimitar Lubomirov, Mikhaylov, Konstantin, Mishra, Aditya Nath, Czeslaw Miskowiec, Dariusz, Modak, Abhi, Mohanty, Bedangadas, Khan, Mohammed Mohisin, Molander, Mikael Andreas, Monira, Shirajum, Mordasini, Cindy, Moreira De Godoy Willems, Denise Aparecida, Morozov, Igor, Morsch, Andreas, Mrnjavac, Teo, Muccifora, Valeria, Muhuri, Sanjib, Mulligan, James Declan, Mulliri, Alice, Gameiro Munhoz, Marcelo, Munzer, Robert Helmut, Murakami, Hikari, Murray, Sean, Musa, Luciano, Musinsky, Jan, Myrcha, Julian Wojciech, Naik, Bharati, Nambrath, Anjali Ila, Nandi, Basanta Kumar, Nania, Rosario, Nappi, Eugenio, Nassirpour, Adrian Fereydon, Nath, Abhishek, Nattrass, Christine, Naydenov, Momchil Nikolaev, Neagu, Alexandra, Negru, Adrian-eduard, Nekrasova, Evgeniia, Nellen, Lukas, Nepeivoda, Roman, Nese, Sigurd, Nešković, Gvozden, Nicassio, Nicola, Nielsen, Borge Svane, Nielsen, Emil Gorm, Nikolaev, Sergey, Nikulin, Sergey, Nikulin, Vladimir, Noferini, Francesco, Noh, Seoyoung, Nomokonov, Petr V., Norman, Jaime, Novitzky, Norbert, Nowakowski, Piotr, Nyanin, Alexander, Nystrand, Joakim Ingemar, Ogino, Masanori, Oh, Saehanseul, Ohlson, Alice, Okorokov, Vitaly A., Oleniacz, Janusz, Silva, Antonio Carlos Oliveira da, Önnerstad, Anna, Oppedisano, Chiara, Ortiz Velasquez, Antonio, Otwinowski, Jacek Tomasz, Oya, Motomi, Oyama, Ken, Pachmayer, Yvonne C., Padhan, Sonali, Pagano, Davide, Paic, Guy, Paisano Guzman, Sergio, Palasciano, Antonio, Panebianco, Stefano Matthias, Park, Hanseo, Park, Hyebin, Park, Jonghan, Parkkila, Jasper Elias, Patley, Yash, Patra, Rajendra Nath, Paul, Biswarup, Pei, Hua, Peitzmann, Thomas, Peng, Xinye, Pennisi, Michele, Perciballi, Stefania, Peresunko, Dmitry Yurevich, Mesa Perez, Guillermo, Pestov, Yury N., Petrov, Vitalii, Petrovici, Mihai A., Pezzi, Rafael Peretti, Piano, Stefano, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pinto, Chiara, Pisano, Silvia, Płoskoń, Mateusz, Planinic, Mirko, Pliquett, Fabian, Poghosyan, Martin G., Polishchuk, Boris, Politano, Stefano, Poljak, Nikola, Pop, Amalia, Porteboeuf, Sarah Julie, Pozdniakov, Valerii, Yoval Pozos, Irandheny, Pradhan, Kshitish Kumar, Prasad, Sidharth Kumar, Prasad, Suraj, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude A., Pshenichnov, Igor A., Puccio, Maximiliano, Pucillo, Sara, Pugelova, Zuzana, Qiu, Shi, Quaglia, Luca, Ragoni, Simone, Rai, Ananya, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Rami, Fouad, Rancien, Thibaut Albert, Rasa, Marika, Räsänen, Sami Sakari, Rath, Rutuparna, Rauch, Max Philip, Ravasenga, Ivan, Read, Kenneth Francis, Reckziegel, Christian, Redelbach, Andreas Ralph, Redlich, Krzysztof, Reetz, Carolina Anna, Regules Medel, Hector David, Rehman, Attiq ur, Reidt, Felix, Reme-Ness, Haakon André, Jakubcinova, Zuzana, Reygers, Klaus, Riabov, Andrei, Riabov, Viktor, Ricci, Riccardo, Richter, Matthias Rudolph, Riedel, Anton Albert, Riegler, Werner, Riffero, Andrea Giovanni, Ristea, Cătălin-Lucian, Viqueira Rodriguez, Manuel, Rodrı́guez Cahuantzi, Mario, Rodríguez Ramírez, Saúl Aníbal, Rogalev, Roman, Rogochaya, Elena, Rogoschinski, Tim Sebastian, Rohr, David, Röhrich, Dieter, Fierro Rojas, Pablo, Rojas Torres, Solangel, Rokita, Przemyslaw Stefan, Romanenko, Gleb, Ronchetti, Federico, Rosano, Antonina, Dominguez Rosas, Edgar, Rosłon, Krystian, Rossi, Andrea, Roy, Ankhi, Roy, Subhadeep, Rubini, Nicola, Ruggiano, Daniela, Rui, Rinaldo, Russek, Pawel Grzegorz, Russo, Roberto, Rustamov, Anar, Ryabinkin, Evgeny, Ryabov, Yury, Rybicki, Andrzej Krzysztof, Rytkönen, Heidi Maria, Ryu, Jaehyeok, Rzęsa, Wioleta, Saarimäki, Oskari Antti Matti, Sadhu, Samrangy, Sadovskiy, Sergey, Sætre, Jon-are, Šafařík, Karel, Saha, Pallabi, Saha, Sumit Kumar, Saha, Swati, Sahoo, Baidyanath, Sahoo, Bhagyarathi, Sahoo, Raghunath, Sahoo, Sarita, Sahu, Dushmanta, Sahu, Pradip Kumar, Saini, Jogender, Tropp, Klaudia, Sakai, Shingo, Panikkassery Salvan, Malavika, Sambyal, Sanjeev Singh, Samitz, Daniel, Sanna, Isabella, Badaro Saramela, Thiago, Sarma, Pranjal, Sarritzu, Valerio, Mantovani Sarti, Valentina, Sas, Mike Henry Petrus, Sawan, Sawan, Schambach, Johann Joachim, Scheid, Horst Sebastian, Schiaua, Claudiu Cornel, Schicker, Rainer, Schlepper, Felix, Schmah, Alexander, Schmidt, Christian Joachim, Schmidt, Hans Rudolf, Schmidt, Marten Ole, Schmidt, Martin, Schmidt, Nicolas, Schmier, Austin Robert, Schotter, Romain, Wilhelmi, Alexander, Schukraft, Jürgen, Schweda, Kai, Scioli, Gilda, Scomparin, Enrico, Seger, Janet Elizabeth, Sekiguchi, Yuko, Sekihata, Daiki, Selina, Mariia, Selyuzhenkov, Ilya, Senyukov, Serhiy, Seo, Jin Joo, Serebryakov, Dmitry, Šerkšnytė, Laura, Sevcenco, Adrian, Shaba, Tebogo Joyce, Shabetai, Alexandre, Shahoyan, Ruben, Shangaraev, Artem, Sharma, Anjali, Sharma, Binti, Sharma, Deependra, Sharma, Himanshu, Sharma, Meenakshi, Sharma, Samarth, Sharma, Sheetal, Sharma, Upasana, Shatat, Afnan, Sheibani, Oveis, Shigaki, Kenta, Hachiya Shimomura, Maya, Shin, Jaehyuck, Shirinkin, Sergey, Shou, Qiye, Sibiryak, Yury, Siddhanta, Sabyasachi, Siemiarczuk, Teodor, Silva, Tiago Fiorini da, Silvermyr, David Olle Rickard, Simantathammakul, Tawanchat, Simeonov, Radoslav, Singh, Balwan, Singh, Bhawani, Singh, Kamaljeet, Singh, Ranbir, Singh, Randhir, Singh, Ravindra, Singh, Sweta, Singh, Vivek, Singhal, Vikas, Sarkar - Sinha, Tinku, Sitar, Branislav, Sitta, Mario, Skaali, Toralf Bernhard, Skorodumovs, Georgijs, Slupecki, Maciej, Smirnov, Nikolai, Snellings, Raimond, Haugland Solheim, Emilie, Song, Jihye, Sonnabend, Christian, Soramel, Francesca, Soto-hernandez, Analyce Bella, Spijkers, Rik, Sputowska, Iwona Anna, Staa, Joey, Stachel, Johanna, Stan, Ionel, Steffanic, Patrick John, Stiefelmaier, Stephan, Stocco, Diego, Storehaug, Ida, Stratmann, Peter, Strazzi, Sofia, Sturniolo, Alessandro, Pliatskas Stylianidis, Christos, Suaide, Alexandre Alarcon do Passo, Suire, Christophe Pierre, Sukhanov, Mikhail, Šuljić, Miljenko, Sultanov, Rishat, Sumberia, Vikash, Sumowidagdo, Suharyo, Swain, Sagarika, Szarka, Imrich, Szymkowski, Maciej, Taghavi, Seyed Farid, Taillepied, Guillaume, Takahashi, Jun, Tambave, Ganesh Jagannath, Tang, Siyu, Tang, Zebo, Tapia Takaki, Jesus Daniel, Tapus, Nicolae, Tarasovicova, Lucia Anna, Tarzila, Madalina-Gabriela, Tassielli, Giovanni Francesco, Tauro, Arturo, Tejeda Muñoz, Guillermo, Telesca, Adriana, Terlizzi, Livia, Terrevoli, Cristina, Thakur, Sanchari, Thomas, Deepa, Tikhonov, Anatoly, Tiltmann, Nicolas, Timmins, Anthony Robert, Tkacik, Milan, Tkacik, Tomas, Toia, Alberica, Tokumoto, Ryoka, Tomohiro, Keisuke, Topilskaya, Nataliya, Toppi, Marco, Tork, Theraa M.A., Vargas Torres, Paola, Valencia Torres, Victor, Torres Ramos, Arianna Grisel, Trifiro, Antonio, Triolo, Andrea Sofia, Tripathy, Sushanta, Tripathy, Tulika, Trogolo, Stefano, Trubnikov, Victor, Trzaska, Wladyslaw Henryk, Trzcinski, Tomasz Piotr, Tumkin, Alexandr, Turrisi, Rosario, Tveter, Trine Spedstad, Ullaland, Kjetil, Ulukutlu, Berkin, Uras, Antonio, Usai, Gianluca, Vala, Martin, Valle, Nicolò, Doremalen, Lennart Vincent Rogier van, Leeuwen, Marco van, Van Veen, Casper Arie, Weelden, Roelof Jan Gijs van, Vyvre, Pierre vande, Varga, Dezsö, Varga, Zoltán, Vasileiou, Maria, Vasiliev, Andrey, Vazquez Doce, Oton, Vazquez Rueda, Omar, Vechernin, Vladimir, Vercellin, Ermanno, Vergara Limon, Sergio, Verma, Rahul, Vermunt, Lucas Anne, Vértesi, Róbert, Verweij, Marta, Vicković, Linda, Vilakazi, Zabulon, Villalobos Baillie, Orlando, Villani, Anna, Vinogradov, Alexander, Virgili, Tiziano, Virta, Maxim Mikael Olavi, Vislavicius, Vytautas, Vodopyanov, Alexander, Voelkel, Benedikt, Volkl, Martin Andreas, Voloshin, Kirill, Voloshin, Sergei, Volpe, Giacomo, Haller, Barthélémy von, Vorobyev, Ivan, Vozniuk, Nikita, Vrlakova, Janka, Wan, Jie, Wang, Chunzheng, Wang, Dongfang, Wang, Yuanzhe, Wang, Yubiao, Wegrzynek, Adam Tadeusz, Weiglhofer, Felix Thomas, Wenzel, Sandro Christian, Wessels, Johannes P., Wiechula, Jens, Wikne, Jon, Wilk, Grzegorz Andrzej, Wilkinson, Jeremy John, Willems, Guido Alexander, Windelband, Bernd, Winn, Michael, Wright, Josephina Rae, Wu, Wenya, Wu, Yitao, Xu, Ran, Yadav, Ankur, Yadav, Arun Kumar, Yalcin Kuzu, Serpil, Yamaguchi, Yorito, Yang, Shiming, Yano, Satoshi, Yin, Zhongbao, Yoo, In-Kwon, Yoon, Jin Hee, Yu, Hyeonjin, Yuan, Shiming, Yüncü, Alperen, Zaccolo, Valentina, Zampolli, Chiara, Zanone, Federica, Zardoshti, Nima, Zarochentsev, Andrey, Závada, Petr, Zavyalov, Nikolay, Zhalov, Mikhail, Zhang, Biao, Zhang, Chi, Zhang, Liuyao, Zhang, Song, Zhang, Xiaoming, Zhang, Yifei, Zhang, Zhen, Zhao, Mingrui, Zherebchevskii, Vladimir, Yu, Zhi, Zhou, Daicui, Zhou, You, Zhu, Jianhui, Zhu, Ya, Zugravel, Stefan Cristi, and Zurlo, Nicola
Abstract: The Chiral Magnetic Wave (CMW) phenomenon is essential to provide insights into the strong interaction in QCD, the properties of the quark-gluon plasma, and the topological characteristics of the early universe, offering a deeper understanding of fundamental physics in high-energy collisions. Measurements of the charge-dependent anisotropic flow coefficients are studied in Pb-Pb collisions at center-of-mass energy per nucleon-nucleon collision sNN−−−√= 5.02 TeV to probe the CMW. In particular, the slope of the normalized difference in elliptic (v2) and triangular (v3) flow coefficients of positively and negatively charged particles as a function of their event-wise normalized number difference, is reported for inclusive and identified particles. The slope rNorm3 is found to be larger than zero and to have a magnitude similar to rNorm2, thus pointing to a large background contribution for these measurements. Furthermore, rNorm2 can be described by a blast wave model calculation that incorporates local charge conservation. In addition, using the event shape engineering technique yields a fraction of CMW (fCMW) contribution to this measurement which is compatible with zero. This measurement provides the very first upper limit for fCMW, and in the 10-60% centrality interval it is found to be 26% (38%) at 95% (99.7%) confidence level.
Published: 2024

23. Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?

Author: Guglielmo, Gianmarco, Montessori, Andrea, Tucny, Jean-Michel, La Rocca, Michele, Prestininzi, Pietro, Guglielmo, Gianmarco, Montessori, Andrea, Tucny, Jean-Michel, La Rocca, Michele, and Prestininzi, Pietro
Abstract: Application of Neural Networks to river hydraulics is fledgling, despite the field suffering from data scarcity, a challenge for machine learning techniques. Consequently, many purely data-driven Neural Networks proved to lack predictive capabilities. In this work, we propose to mitigate such problem by introducing physical information into the training phase. The idea is borrowed from Physics-Informed Neural Networks which have been recently proposed in other contexts. Physics-Informed Neural Networks embed physical information in the form of the residual of the Partial Differential Equations (PDEs) governing the phenomenon and, as such, are conceived as neural solvers, i.e. an alternative to traditional numerical solvers. Such approach is seldom suitable for environmental hydraulics, where epistemic uncertainties are large, and computing residuals of PDEs exhibits difficulties similar to those faced by classical numerical methods. Instead, we envisaged the employment of Neural Networks as neural operators, featuring physical constraints formulated without resorting to PDEs. The proposed novel methodology shares similarities with data augmentation and regularization. We show that incorporating such soft physical information can improve predictive capabilities.
Published: 2024

24. Evaluation of the extent of resection of intracranial tumors with virtual intraoperative MRI: a case series

Author: Mazzucchi, Edoardo, Cavlak, Lara Beli, Pignotti, Fabrizio, La Rocca, Giuseppe, Cusumano, Davide, Rinaldi, Pierluigi, Olivi, Alessandro, Sabatino, Giovanni, Olivi, Alessandro (ORCID:0000-0002-4489-7564), Sabatino, Giovanni (ORCID:0000-0002-4227-0434), Mazzucchi, Edoardo, Cavlak, Lara Beli, Pignotti, Fabrizio, La Rocca, Giuseppe, Cusumano, Davide, Rinaldi, Pierluigi, Olivi, Alessandro, Sabatino, Giovanni, Olivi, Alessandro (ORCID:0000-0002-4489-7564), and Sabatino, Giovanni (ORCID:0000-0002-4227-0434)
Abstract: Objective: Intraoperative MRI (iMRI) is the gold-standard technique for intraoperative evaluation of the extent of resection in brain tumor surgery. Unfortunately, it is currently available at only a few neurosurgical centers. A commercially available software, Virtual iMRI Cranial, provides an elastic fusion between preoperative MRI and intraoperative CT (iCT). The aim of this study was to evaluate the accuracy of this software in determining the presence of residual tumor. Methods: Virtual iMRI was performed in patients who underwent iCT after intracranial tumor resection. The results of the software in terms of presence or absence of tumor residual were then compared with postoperative MRI performed within 48 hours after surgery to evaluate the diagnostic accuracy of virtual iMRI. Results: Sixty-six patients were included in the present study. The virtual iMRI findings were concordant with the postoperative MRI data in 35 cases (53%) in the detection of tumor residual (p = 0.006). No false-negative findings (i.e., presence of residual on postoperative MRI and absence of residual on virtual iMRI) were encountered. Virtual iMRI had a sensitivity of 1 (95% CI 0.86-1), specificity of 0.26 (95% CI 0.14-0.42), positive predictive value of 0.44 (95% CI 0.3-0.58), and negative predictive value of 1 (95% CI 0.72-1). Subgroup analysis revealed that the virtual iMRI findings were concordant with postoperative MRI findings in all cases (n = 9) of lower-grade glioma (LGG) with a sensitivity of 1 (95% CI 0.59-1) and a specificity of 1 (95% CI 0.16-1) (p = 0.003); a statistically significant association was also found for grade 4 gliomas with a sensitivity of 1 (95% CI 0.69-1) and a specificity of 0.33 (95% CI 0.08-0.7) (p = 0.046) (19 patients). No significant association was found when considering meningiomas or metastases. Conclusions: The commercially available virtual iMRI can predict the presence or absence of tumor residual with high sensitivity. The diagnostic accuracy
Published: 2024

25. Combination of Tractography, Intraoperative Computed Tomography and 5-Aminolevulinic Acid Fluorescence in Stereotactic Brain Biopsies: A Case Series

Author: Mazzucchi, E., Galieri, G., Pignotti, F., Rinaldi, P., Sabatino, Giovanni, La Rocca, G., Sabatino G. (ORCID:0000-0002-4227-0434), Mazzucchi, E., Galieri, G., Pignotti, F., Rinaldi, P., Sabatino, Giovanni, La Rocca, G., and Sabatino G. (ORCID:0000-0002-4227-0434)
Abstract: Stereotactic needle biopsy (SNB) may be performed to collect tissue samples from lesions not amenable to open surgery. Integration of tractography, intraoperative imaging and fluorescence has been applied to reduce risk of complications and confirm the adequacy of bioptic specimens. Clinical and radiological data from patients who underwent stereotactic needle biopsy with the use of intraoperative CT, tractography and 5-aminolevulinic acid (5-ALA) fluorescence in a single Hospital were retrospectively reviewed to evaluate the accuracy and safety of the procedure. Seven patients were included in the study, and all the collected specimens showed red fluorescence. In six of them, the final histopathological diagnosis was grade 4 glioblastoma IDH-wt and in the other case it was Diffuse large B-Cell Lymphoma. The integration of tractography, intraoperative CT and 5-ALA as an intraoperative marker of diagnostic samples may be suggested in biopsies of suspect gliomas and lymphomas. The cost-effectiveness of the procedure should be evaluated in future studies.
Published: 2024

26. Using computer-generated faces in experimental psychology: The role of realism and exposure

Author: Di Natale, Anna Flavia, La Rocca, Stefania, Simonetti, Matilde Ellen, Bricolo, Emanulea, Di Natale, Anna Flavia (ORCID:0000-0003-2225-3159), Di Natale, Anna Flavia, La Rocca, Stefania, Simonetti, Matilde Ellen, Bricolo, Emanulea, and Di Natale, Anna Flavia (ORCID:0000-0003-2225-3159)
Abstract: In psychology, researchers often rely on face photographs to study face perception. However, finding suitable face stimuli for experiments is often challenging. Computer-generated (CG) faces have emerged as a potential solution due to their flexibility and controllability. However, it has been suggested that these stimuli are evaluated and processed differently from real faces, and their suitability as alternatives in experimental settings remains unclear. To address this, two studies were conducted to examine the impact of CG faces' realism and observers’ self-reported exposure to CG faces on faces appraisals (Study 1) and processing (Study 2). In Study 1 (n = 97), we assessed perceptions of both real and CG faces. Findings indicated that participants generally viewed CG faces less favourably, especially when these faces lacked realism. This trend was particularly pronounced among individuals less exposed to digital characters. In Study 2 (n = 33), we examined the recognition accuracy of these faces in a memory task. The data revealed that CG faces, especially those less realistic, were less accurately recognized. However, this discrepancy was primarily observed among individuals with limited exposure to digital characters, while those more familiar with such characters showed no significant difference in recognition. Overall, this work confirmed that, to date, CG faces are not an adequate alternative to real faces and that researchers should be cautious when using these stimuli in experiments involving face processing. However, as digital graphics improve and as digital characters become more commonplace in daily life, the perceptual gap between CG and real faces may diminish.
Published: 2024

27. Overview of the synergistic use of radiotherapy and immunotherapy in cancer treatment: current challenges and scopes of improvement

Author: Colciago, R, Fischetti, I, Giandini, C, La Rocca, E, Rancati T., T, Rejas Mateo, A, Colombo, M, Lozza, L, Chiodoni, C, Jachetti, E, De Santis, M, Colciago, Riccardo Ray, Fischetti, Irene, Giandini, Carlotta, La Rocca, Eliana, Rancati T. , Tiziana, Rejas Mateo, Alicia, Colombo, Mario Paolo, Lozza, Laura, Chiodoni, Claudia, Jachetti, Elena, De Santis, Maria Carmen, Colciago, R, Fischetti, I, Giandini, C, La Rocca, E, Rancati T., T, Rejas Mateo, A, Colombo, M, Lozza, L, Chiodoni, C, Jachetti, E, De Santis, M, Colciago, Riccardo Ray, Fischetti, Irene, Giandini, Carlotta, La Rocca, Eliana, Rancati T. , Tiziana, Rejas Mateo, Alicia, Colombo, Mario Paolo, Lozza, Laura, Chiodoni, Claudia, Jachetti, Elena, and De Santis, Maria Carmen
Abstract: Introduction: Oncological treatments are changing rapidly due to the advent of several targeted anticancer drugs and regimens. The primary new area of research in oncological medicine is the implementation of a combination of novel therapies and standard care. In this scenario, radioimmunotherapy is one of the most promising fields, as proven by the exponential growth of publications in this context during the last decade. Areas covered: This review provides an overview of the synergistic use of radiotherapy and immunotherapy and addresses questions like the importance of this subject, aspects clinicians look for in patients to administer this combined therapy, individuals who would benefit the most from this treatment, how to achieve abscopal effect and when does radio-immunotherapy become standard clinical practice. Expert opinion: Answers to these queries generate further issues that need to be addressed and solved. The abscopal and bystander effects are not utopia, rather physiological phenomena that occur in our bodies. Nevertheless, substantial evidence regarding the combination of radioimmunotherapy is lacking. In conclusion, joining forces and finding answers to all these open questions is of paramount importance.
Published: 2023

28. One-week external beam partial breast irradiation: survival and toxicity outcomes

Author: Colciago, R, La Rocca, E, Giandini, C, Rejas Mateo, A, Bedini, N, Capri, G, Folli, S, Lozza, L, Meroni, S, Emanuele, P, Rancati, T, Arcangeli, S, De Santis, M, Colciago, Riccardo Ray, La Rocca, Eliana, Giandini, Carlotta, Rejas Mateo, Alicia, Bedini, Nice, Capri, Giuseppe, Folli, Secondo, Lozza, Laura, Meroni, Silvia, Emanuele, Pignoli, Rancati, Tiziana, Arcangeli, Stefano, De Santis, Maria Carmen, Colciago, R, La Rocca, E, Giandini, C, Rejas Mateo, A, Bedini, N, Capri, G, Folli, S, Lozza, L, Meroni, S, Emanuele, P, Rancati, T, Arcangeli, S, De Santis, M, Colciago, Riccardo Ray, La Rocca, Eliana, Giandini, Carlotta, Rejas Mateo, Alicia, Bedini, Nice, Capri, Giuseppe, Folli, Secondo, Lozza, Laura, Meroni, Silvia, Emanuele, Pignoli, Rancati, Tiziana, Arcangeli, Stefano, and De Santis, Maria Carmen
Abstract: Purpose: According to ASTRO and ESTRO guidelines, external beam Partial Breast Irradiation (PBI) is a valid option for early-stage breast cancer patients. Nevertheless, there is lack of consensus about the best treatment schedule. Methods: We retrospectively analysed data of female patients treated at our institution from 2013 to 2022 with adjuvant "one-week" partial breast irradiation. Clinical Target Volume (CTV) was an isotropic expansion of 15 mm from the tumour bed (identified as the breast tissue between surgical clips). The treatment schedule was 30 Gy delivered with Volumetric Modulated Arc Therapy in 5 daily fractions. The primary endpoint was Local Control (LC). Disease-Free Survival (DFS), Overall Survival (OS) and safety were secondary endpoints. Results: Three hundred and forty-four patients with a median age of 69 (33-87) years were included in the study. After a median follow-up of 34 (7-105) months, 7 patients (2.0%) developed a local recurrence. Three-year LC, DFS and OS actuarial rates were 97.5% (95% CI 96.2%-98.8%), 95.7% (95% CI 94.2%-97.2%), and 96.9% (95% CI 95.7%-98.1%), respectively. Ten (2.9%) patients experienced grade 2 late toxicities. Five (1.5%) patients reported late cardiac major events. Three (0.9%) late pulmonary toxicities were detected. One hundred and five (30.5%) patients reported fat necrosis. Good or excellent cosmetic evaluation following the Harvard Scale was reported in 252 (96.9%) cases by the physicians, while in 241 (89.2%) cases by the patients. Conclusion: "One-week" PBI is effective and safe, and this schedule is a valid option for highly selected early breast cancer patients.
Published: 2023

29. Axillary Management in Breast Cancer Patients Undergoing Upfront Surgery: Results from a Nationwide Survey on Behalf of the Clinical Oncology Breast Cancer Group (COBCG) and the Breast Cancer Study Group of the Italian Association of Radiotherapy and Clinical Oncology (AIRO)

Author: De Rose, F, Colciago, R, Lucidi, S, La Rocca, E, Prisco, A, Bonzano, E, Meduri, B, De Santis, M, Dicuonzo, S, Pasinetti, N, Palumbo, I, Meattini, I, Franco, P, De Rose, Fiorenza, Colciago, Riccardo, Lucidi, Sara, La Rocca, Eliana, Prisco, Agnese, Bonzano, Elisabetta, Meduri, Bruno, De Santis, Maria, Dicuonzo, Samantha, Pasinetti, Nadia, Palumbo, Isabella, Meattini, Icro, Franco, Pierfrancesco, De Rose, F, Colciago, R, Lucidi, S, La Rocca, E, Prisco, A, Bonzano, E, Meduri, B, De Santis, M, Dicuonzo, S, Pasinetti, N, Palumbo, I, Meattini, I, Franco, P, De Rose, Fiorenza, Colciago, Riccardo, Lucidi, Sara, La Rocca, Eliana, Prisco, Agnese, Bonzano, Elisabetta, Meduri, Bruno, De Santis, Maria, Dicuonzo, Samantha, Pasinetti, Nadia, Palumbo, Isabella, Meattini, Icro, and Franco, Pierfrancesco
Abstract: Background: We assessed the current practice concerning the axillary management of breast cancer (BC) patients undergoing upfront surgery among radiation oncologists (ROs) practising in Italy. Methods: An online survey via SurveyMonkey (including 21 questions) was distributed amongst ROs in Italy through personal contacts and the Italian Association for Radiotherapy and Clinical Oncology (AIRO) network from August to September 2022. We particularly focused on the emerging omission of axillary lymph node dissection (ALND) in the presence of 1-2 sentinel node-positive patients and the consequent change in the role of regional nodal irradiation (RNI). Results: A total of 101/195 (51% response rate) Italian Radiotherapy Cancer Care Centres answered the survey. With respect to patients with 1-2 sentinel node-positive, the relative proportion of respondents that offer patients ALND a) always, b) only in selected cases, and c) never was 37.6%, 60.4%, and 2.0%, respectively, with no significant geographical (North vs. Centre-South Italy; p = 0.92) or institutional (Academic vs. non-Academic; p = 0.49) differences. Radiation therapy indications varied widely in patients who did not undergo ALND. Among these, about a third of the respondents (17/56, 30.4%) stated that RNI was constantly performed. On the other hand, half of the respondents offered RNI in selected cases, stating that an unfavourable biologic tumour profile and extracapsular nodal extension were considered drivers of their decision. Conclusions: Results of the present survey show the variability of axillary management offered in clinical practice for BC patients undergoing conserving surgery upfront in Italy. Analysis of these attitudes may trigger the modification of some clinical approaches through multidisciplinary collaboration and create the background for future clinical investigations.
Published: 2023

30. Reduced prevalence of fetal exposure to alcohol in Italy: a nationwide survey

Author: Camandona, F, Vaccari, L, Travan, L, Maso, G, Stampalija, T, Zanazzo, L, Pisana, P, Driul, L, Barbui, E, Caissutti, C, Valente, E, Ricchi, A, Bettiga, E, Piccolo, E, Pati, M, Pedori, S, Antonazzo, P, Sottile, G, Lo Faro, F, Tini, A, Massacesi, M, Rapisarda, C, Vivirito, G, Pinna, G, D'Anna, M, Klein, L, Bucolo, A, D'Anna, R, Monaco, C, La Ferrera, G, Capobianco, G, Olzai, M, Angioni, S, D'Alterio, M, Serravalle, P, Vicquery, C, Scalchi, S, Morando, C, Meneghin, M, Scapolan, C, Maggino, T, Guarinoni, B, Cristina Napolitano, G, De Vita, M, Di Carlo, C, Interlandi, F, Bisceglia, M, Michelangelo, B, Arnulfo, A, Finale, E, Marozio, L, Natali, I, Grazia, S, Staffler, A, Tarani, L, Coriale, G, Messina, M, D'Angelo, A, Bonito, M, Haass, C, Capasso, L, Raimondi, F, De Bernardo, G, Iacobelli, P, Spadarella, S, Enrica, M, Rabuano, R, Calzatini, F, Bossi, A, Aversa, S, Prefumo, F, Bellan, C, Leone, G, Ciammella, M, Von-Wunster, S, Liguori, A, Ornaghi, S, Fumagalli, S, Sanguineti, F, Gianola, G, Cagnacci, A, Amidani, A, Sisto, A, Di Marcello, F, Santillo, V, Di Bartolomeo, C, Gerli, S, Cagnoli, G, Petrisano, M, Pesce, S, Di Lascio, N, Falvino, S, Appio, P, Targiani, V, Cavaliere, A, Turrini, I, Belli, G, Beatrice, G, Florio, P, Innocenti, E, Magi, L, Civitelli, F, Nappi, L, Sorrentino, F, Silvestris, T, Indrio, F, Laforgia, N, Rizzo, V, La Rocca, M, Pradal, U, Memo, L, Diaz, C, Riscica, P, Bazzo, S, La Maida, N, Di Giorgi, A, Pellegrini, M, Ceccanti, M, Caruso, S, Ricci, G, Neri, I, Lana, S, Minutillo, A, Berretta, P, Busardo, F, Pichini, S, Camandona F., Vaccari L., Travan L., Maso G., Stampalija T., Zanazzo L., Pisana P., Driul L., Barbui E., Caissutti C., Valente E., Ricchi A., Bettiga E., Piccolo E., Pati M., Pedori S., Antonazzo P., Sottile G., Lo Faro F., Tini A., Massacesi M., Rapisarda C., Vivirito G., Pinna G., D'anna M., Klein L., Bucolo A., D'Anna R., Monaco C., La Ferrera G., Capobianco G., Olzai M. G., Angioni S., D'Alterio M. N., Serravalle P., Vicquery C., Scalchi S., Morando C., Meneghin M., Scapolan C., Maggino T., Guarinoni B., Cristina Napolitano G. M., De Vita M. G., Di Carlo C., Interlandi F., Bisceglia M., Michelangelo B., Arnulfo A., Finale E., Marozio L., Natali I., Grazia S. M., Staffler A., Tarani L., Coriale G., Messina M. P., D'Angelo A., Bonito M., Haass C., Capasso L., Raimondi F., De Bernardo G., Iacobelli P., Spadarella S., Enrica M., Rabuano R., Calzatini F., Bossi A., Aversa S., Prefumo F., Bellan C., Leone G., Ciammella M., Von-Wunster S., Liguori A., Ornaghi S., Fumagalli S., Sanguineti F., Gianola G., Cagnacci A., Amidani A., Sisto A., Di Marcello F., Santillo V., Di Bartolomeo C., Gerli S., Cagnoli G., Petrisano M., Pesce S., Di Lascio N., Falvino S., Appio P., Targiani V., Cavaliere A. F., Turrini I., Belli G., Beatrice G., Florio P., Innocenti E. D., Magi L., Civitelli F., Nappi L., Sorrentino F., Silvestris T., Indrio F., Laforgia N., Rizzo V., La Rocca M., Pradal U., Memo L., Diaz C., Riscica P., Bazzo S., La Maida N., Di Giorgi A., Pellegrini M., Ceccanti M., Caruso S., Ricci G., Neri I., Lana S., Minutillo A., Berretta P., Busardo F. P., Pichini S., Camandona, F, Vaccari, L, Travan, L, Maso, G, Stampalija, T, Zanazzo, L, Pisana, P, Driul, L, Barbui, E, Caissutti, C, Valente, E, Ricchi, A, Bettiga, E, Piccolo, E, Pati, M, Pedori, S, Antonazzo, P, Sottile, G, Lo Faro, F, Tini, A, Massacesi, M, Rapisarda, C, Vivirito, G, Pinna, G, D'Anna, M, Klein, L, Bucolo, A, D'Anna, R, Monaco, C, La Ferrera, G, Capobianco, G, Olzai, M, Angioni, S, D'Alterio, M, Serravalle, P, Vicquery, C, Scalchi, S, Morando, C, Meneghin, M, Scapolan, C, Maggino, T, Guarinoni, B, Cristina Napolitano, G, De Vita, M, Di Carlo, C, Interlandi, F, Bisceglia, M, Michelangelo, B, Arnulfo, A, Finale, E, Marozio, L, Natali, I, Grazia, S, Staffler, A, Tarani, L, Coriale, G, Messina, M, D'Angelo, A, Bonito, M, Haass, C, Capasso, L, Raimondi, F, De Bernardo, G, Iacobelli, P, Spadarella, S, Enrica, M, Rabuano, R, Calzatini, F, Bossi, A, Aversa, S, Prefumo, F, Bellan, C, Leone, G, Ciammella, M, Von-Wunster, S, Liguori, A, Ornaghi, S, Fumagalli, S, Sanguineti, F, Gianola, G, Cagnacci, A, Amidani, A, Sisto, A, Di Marcello, F, Santillo, V, Di Bartolomeo, C, Gerli, S, Cagnoli, G, Petrisano, M, Pesce, S, Di Lascio, N, Falvino, S, Appio, P, Targiani, V, Cavaliere, A, Turrini, I, Belli, G, Beatrice, G, Florio, P, Innocenti, E, Magi, L, Civitelli, F, Nappi, L, Sorrentino, F, Silvestris, T, Indrio, F, Laforgia, N, Rizzo, V, La Rocca, M, Pradal, U, Memo, L, Diaz, C, Riscica, P, Bazzo, S, La Maida, N, Di Giorgi, A, Pellegrini, M, Ceccanti, M, Caruso, S, Ricci, G, Neri, I, Lana, S, Minutillo, A, Berretta, P, Busardo, F, Pichini, S, Camandona F., Vaccari L., Travan L., Maso G., Stampalija T., Zanazzo L., Pisana P., Driul L., Barbui E., Caissutti C., Valente E., Ricchi A., Bettiga E., Piccolo E., Pati M., Pedori S., Antonazzo P., Sottile G., Lo Faro F., Tini A., Massacesi M., Rapisarda C., Vivirito G., Pinna G., D'anna M., Klein L., Bucolo A., D'Anna R., Monaco C., La Ferrera G., Capobianco G., Olzai M. G., Angioni S., D'Alterio M. N., Serravalle P., Vicquery C., Scalchi S., Morando C., Meneghin M., Scapolan C., Maggino T., Guarinoni B., Cristina Napolitano G. M., De Vita M. G., Di Carlo C., Interlandi F., Bisceglia M., Michelangelo B., Arnulfo A., Finale E., Marozio L., Natali I., Grazia S. M., Staffler A., Tarani L., Coriale G., Messina M. P., D'Angelo A., Bonito M., Haass C., Capasso L., Raimondi F., De Bernardo G., Iacobelli P., Spadarella S., Enrica M., Rabuano R., Calzatini F., Bossi A., Aversa S., Prefumo F., Bellan C., Leone G., Ciammella M., Von-Wunster S., Liguori A., Ornaghi S., Fumagalli S., Sanguineti F., Gianola G., Cagnacci A., Amidani A., Sisto A., Di Marcello F., Santillo V., Di Bartolomeo C., Gerli S., Cagnoli G., Petrisano M., Pesce S., Di Lascio N., Falvino S., Appio P., Targiani V., Cavaliere A. F., Turrini I., Belli G., Beatrice G., Florio P., Innocenti E. D., Magi L., Civitelli F., Nappi L., Sorrentino F., Silvestris T., Indrio F., Laforgia N., Rizzo V., La Rocca M., Pradal U., Memo L., Diaz C., Riscica P., Bazzo S., La Maida N., Di Giorgi A., Pellegrini M., Ceccanti M., Caruso S., Ricci G., Neri I., Lana S., Minutillo A., Berretta P., Busardo F. P., and Pichini S.
Published: 2023

31. Systemic vasculitis: one year in review 2023

Author: Moretti, M, Treppo, E, Monti, S, La Rocca, G, Del Frate, G, Delvino, P, Italiano, N, Di Cianni, F, D'Alessandro, F, Talarico, R, Ferro, F, Quartuccio, L, Baldini, C, Michele Moretti, Elena Treppo, Sara Monti, Gaetano La Rocca, Giulia Del Frate, Paolo Delvino, Nazzareno Italiano, Federica Di Cianni, Francesco D'Alessandro, Rosaria Talarico, Francesco Ferro, Luca Quartuccio, Chiara Baldini, Moretti, M, Treppo, E, Monti, S, La Rocca, G, Del Frate, G, Delvino, P, Italiano, N, Di Cianni, F, D'Alessandro, F, Talarico, R, Ferro, F, Quartuccio, L, Baldini, C, Michele Moretti, Elena Treppo, Sara Monti, Gaetano La Rocca, Giulia Del Frate, Paolo Delvino, Nazzareno Italiano, Federica Di Cianni, Francesco D'Alessandro, Rosaria Talarico, Francesco Ferro, Luca Quartuccio, and Chiara Baldini
Abstract: Systemic vasculitides are heterogeneous disabling diseases characterised by chronic inflammation of the blood vessels potentially leading to tissue destruction and organ failure. The recent COVID-19 pandemic has had a significant impact on the epidemiology and management of patients with systemic vasculitis. In parallel, new insights have been provided on systemic vasculitis pathogenetic mechanisms, possible new therapeutic targets, and newer glucocorticoid-sparing treatments with better safety profiles. As in the previous annual reviews of this series, in this review we will provide a critical digest of the most recent literature regarding pathophysiology, clinical manifestations, diagnostic tools and treatment options in small- and large-vessel vasculitis focusing on precision medicine in vasculitis.
Published: 2023

32. Look at me now! Enfacement illusion over computer-generated faces

Author: Menghini, M, La Rocca, S, Gobbo, S, Tosi, G, Fiora, E, Daini, R, Menghini M., La Rocca S., Gobbo S., Tosi G., Fiora E., Daini R., Menghini, M, La Rocca, S, Gobbo, S, Tosi, G, Fiora, E, Daini, R, Menghini M., La Rocca S., Gobbo S., Tosi G., Fiora E., and Daini R.
Published: 2023

33. New contact methods in start-ups’ selling process

Author: Cantu', Chiara Luisa, Hu, Lala, La Rocca, Antonella, Olivieri, Mirko, Cantu Chiara (ORCID:0000-0001-8431-6480), Hu Lala (ORCID:0000-0001-5492-3706), La Rocca, Antonella (ORCID:0000-0003-2931-9245), Olivieri Mirko (ORCID:0000-0002-5787-6295), Cantu', Chiara Luisa, Hu, Lala, La Rocca, Antonella, Olivieri, Mirko, Cantu Chiara (ORCID:0000-0001-8431-6480), Hu Lala (ORCID:0000-0001-5492-3706), La Rocca, Antonella (ORCID:0000-0003-2931-9245), and Olivieri Mirko (ORCID:0000-0002-5787-6295)
Abstract: The increasing adoption of digital technologies by companies in business-to-business (b2b) opens for some opportunities for start-ups that due to their liabilities are generally not well equipped on their marketing and commercial side but are at the same time often digitally skilled. Although the role of social media for start-ups in b2b contexts has been increasingly examined, we have limited understanding of whether start-ups are aware of the potential of new technologies for developing customer relationships and how these are eventually used vis à vis other, more personal (face-to face), methods of contact/communication in different ‘phases’ of the selling process, but also more in general in their communication activity. Drawing on 19 semi-structured interviews with founders and managers of 10 start-ups companies and other actors operating in the aerospace sector from Italy, we have examined how the start-ups evaluate what methods of contact to use when they approach potential customers and when communicating externally The study contributes to the IMP literature on start-ups by zooming into a micro process such as start-ups’ decisions on contact methods and content strategy in relation to potential customers and other stakeholders.
Published: 2023

34. I driver per le fasi di starting up e di mantenimento di una rete

Author: Cantu', Chiara Luisa, La Rocca, Antonella, Lucarno, Martina, Cantu, Chiara (ORCID:0000-0001-8431-6480), La Rocca, Antonella (ORCID:0000-0003-2931-9245), Cantu', Chiara Luisa, La Rocca, Antonella, Lucarno, Martina, Cantu, Chiara (ORCID:0000-0001-8431-6480), and La Rocca, Antonella (ORCID:0000-0003-2931-9245)
Abstract: Come evidenziato dalla letteratura le reti sono un importante strumento per lo sviluppo imprese (Snehota, 2008), soprattutto per le PMI. Le forme di aggregazione tra le imprese sono plurime e tra queste riscontriamo i clusters, gli ecosystems, le strategic nets (Möller and Halinen, 2017) e i network (Håkansson et al., 2009). Le diverse forme di rete possono differenziarsi per la loro estensione geografica (ridotta nei cluster o cross sectoral network), possono richiedere impegni da parte dei membri o possono prevedere forme più partecipative di collaborazione. In generale, a reti più strutturate (Matapoulos et al. 2005) corrisponde una maggior definizione dei partner, degli obiettivi, dei valori. Infatti, le strategic nets, a differenza dei network (Möller and Halinen, 2017) sono caratterizzate da un approccio top down ed è presente una lead organization che supporta i processi e l’esecuzione delle attività. I consorzi, inoltre, sono aggregazioni che permettono ad imprese simili di cooperare usufruendo di alcuni benefici (incremento della conoscenza, innovatività, servizi di supporto) a prezzi calmierati (Rapaccini et al. 2019). Come avviene per l’impresa, anche la rete può essere analizzata considerando il ciclo di vita. Santos e Baptista (2021) hanno mostrato come alcuni autori abbiano individuato in media dalle 4 alle 7 fasi, suddividendo pertanto la vita di una rete in stadi di preparazione, di creazione, sviluppo, consolidamento, stagnazione e declino. Ogni modello teorico ha utilizzato approcci differenti analizzando la vita di una rete secondo un ciclo biologico o focalizzandosi sull’evoluzione delle relazioni tra gli attori nel tempo: su questo tema alcuni contributi si sono più concentrati su aspetti di negoziazione tra i partner selezionati (Ring e Van de Ven 1994) nella combinazione delle risorse, altri sull’importanza della creazione di ingaggio e fiducia tra gli attori (Spekman et al. 1998; Zineldin 2002) attraverso processi di adattamento rec
Published: 2023

35. How future surgery will benefit from SARS-COV-2-related measures: a SPIGC survey conveying the perspective of Italian surgeons

Author: Siragusa, L, Angelico, R, Angrisani, M, Zampogna, B, Materazzo, M, Sorge, R, Giordano, L, Meniconi, R, Coppola, A, Marino, A, Giraudo, G, Esposito, S, Urbani, A, De Pastena, M, Mastrapasqua, R, Garancini, M, Frontal, A, Pascal, G, Martellucc, J, Falb, F, Boscarelli, A, Bertoglio, P, Trecca, E, Galassi, L, Vento, V, Chiappini, A, Antonelli, A, Bennardo, F, Familiari, F, Giannaccare, G, Zappia, A, Giuliani, G, Falcone, F, Sebastiani, S, Montuori, M, Rossi, S, Sagnotta, A, Giuliani, B, Imbriani, G, Restaino, S, Andreani, L, Di Maria, F, Lagana, A, Vitiello, L, Berton, F, Virgilio, E, Palisi, M, Portigliotti, L, Calussi, M, Conti, L, Mauriello, C, Barone, M, Saladino, E, Giaquinta, A, Zerb, D, Frazzetta, G, Merola, G, Chierici, A, Bini, R, Centonze, L, De Carlis, R, Ferrario, L, Giani, A, Lauterio, A, Tamini, N, Corti, S, Botteri, E, Andreuccetti, J, D'Alessio, R, Cestaro, G, Clarizia, G, Spolini, A, Carboni, A, Benzoni, E, Galiffa, G, Perotti, B, Veroux, M, Randazzo, V, Topa, D, Pranteda, C, Contini, G, Iacusso, C, Voglino, V, Vita, P, Carrano, F, Ambrosio, L, Cammarata, R, Capolupo, G, Caputo, D, Carannante, F, Cascone, C, Esperto, F, Farolfi, T, Frasca, L, Gallo, I, Gibin, G, Giurazza, G, Improta, L, La Vaccara, V, Luffarelli, P, Luvero, D, Marangi, G, Masciana, G, Mazzola, A, Mazzotta, E, Miligi, C, Montelione, N, Nenna, A, Orsaria, P, Papalia, R, Papalia, G, Parisi, F, Prata, F, Salzillo, R, Santini, S, Sofo, F, Zampoli, A, Tanda, C, Altieri, G, Ardito, F, Belia, F, Bianchi, V, Biondi, A, Brisinda, G, Chiappetta, M, Ciolli, G, Ciolli, A, Ferracci, F, Ferri, L, Fico, V, Fiorillo, C, Fransvea, P, Galiandro, F, Giovinazzo, F, La Greca, A, Litta, F, Mele, C, Pafundi, D, Panettieri, E, Papa, V, Patini, R, Perrotta, G, Puccioni, C, Santocchi, P, Armatura, G, Olmi, S, Casoni Pattacini, G, Salgarello, S, Trompetto, M, Bombardini, C, La Rocca, R, Celentano, G, Micalef, A, Mazzella, A, Settembrini, A, Zoia, C, Degrate, L, Musumeci, G, Palopoli, C, Montori, G, Bonati, E, Dinuzzi, V, Velluti, F, Balla, A, Bonasia, D, Coletta, D, Berardi, G, Colasanti, M, Ferretti, S, Gasparoli, C, Mariano, G, Avenia, S, Cianci, P, Cestino, L, Festa, F, Fazio, F, Ascari, F, Desio, M, Arroyo Murillo, G, Cereda, M, Galleano, R, David, G, Pansini, A, Gazia, C, Atzori, G, Desideri, L, Famularo, S, Galvanin, J, Giudici, V, Mangiameli, G, Mei, S, Milana, F, Pansa, A, Sacchi, M, Testori, A, Di Carlo, G, Paratore, M, Perrone, U, Vagge, A, Vigano, J, Torre, B, Scotti, M, Carbone, G, Cerchione, R, De Nardi, P, Gozzini, L, Ottaviani, L, Senni, C, Piccin, O, Pio, L, Colombo, F, Avantifiori, R, Baldassarri, V, Caronna, R, Cicerchia, P, Corallino, D, Crocetti, D, Gallo, G, Giovanardi, F, Giovannetti, F, Hassan, R, Iossa, A, Lai, Q, Lancellotti, F, Lucarini, A, Lucchese, S, Mazzarella, G, Melandro, F, Minervini, A, Muttillo, E, Palmieri, L, Pasqua, R, Rosiello, F, Salina, G, Sibio, S, Sirignano, P, Tarallo, M, Usai, S, Vanni, C, Viglietta, E, Zambon, M, Conversano, N, Epifani, A, Milano, V, Sacco, L, Nava, M, Maffioli, A, Giuratrabocchetta, S, Baracchi, F, Zuolo, M, Ceresoli, M, Verdi, D, Belli, A, Pata, F, Piovano, E, Pastore, G, Bernabei, F, Deiana, S, Arceri, A, D'Agostino, C, Marafante, C, Moggia, E, Parini, S, Moretti, M, Uggeri, F, Pontarolo, N, Fontana, T, Palmisano, G, Giuffrida, M, Guaitoli, E, Ferretti, C, Iacopino, G, Gioco, R, Roscitano, G, Montanelli, P, Pinotti, E, Monati, E, Fazio, G, Di Pietro, F, Damarco, F, Barberis, A, Razzore, A, Pascale, A, Loi, S, Ferrara, F, Rossi, M, Lisi, G, Viel, G, Sasia, D, Bono, D, Cordaro, E, Giacomelli, E, Giani, I, Seriau, L, Pellino, G, Sparavigna, M, Trigiante, G, D'Ambrogio, R, Cardella, F, Guzzetti, S, Luzzi, A, Carganico, G, Drago, B, Micheletto, G, Orlandi, R, Cutolo, C, Gibello, U, Mistrangelo, M, Forcignano, E, D'Ugo, S, Losurdo, P, Manitto, M, Caroli, G, Franco, M, Tilocca, P, Mendogni, P, Sena, G, Sambucci, D, Luciani, C, Atelli, P, Guida, A, Marino, F, Morini, A, Sibilla, M, Longo, F, Giaccari, S, Vigorita, V, Balduzzi, A, Barra, F, Delogu, D, Milone, E, Bencini, L, Aprile, V, Papini, P, Montemurro, N, Cavallo, M, Picciariello, A, Tomasicchio, G, Fittipaldi, A, Maruccia, M, Gerardi, S, Cillara, N, Deidda, S, Demarinis, G, Peiretti, E, Tatti, F, Iovino, C, Isola, G, Progno, V, Migliore, M, Badessi, G, Barilla, C, Calleri, G, Cianci, S, Fama, F, Fleres, F, Mazzeo, C, Visaloco, M, Marchetto, C, Bolognesi, F, Benuzzi, L, Bracchetti, G, Brucchi, F, Manzo, C, Scaravilli, L, Ferrari, C, Rocca, A, Napolitano, P, Anoldo, P, Caricato, C, Manigrasso, M, Milone, M, Napolitano, L, Palomba, G, Schiavone, V, Vetrella, M, Grossi, U, Moletta, L, Annicchiarico, A, Vella, I, Talesa, G, Boggi, U, Aiello, F, Anselmo, A, Bacchiocchi, G, Beati, F, Bellato, V, Billeci, F, Blasi, F, Buonomo, O, Campanelli, M, Coco, G, Contadini, A, Conte, L, D'Ippolito, G, Di Marcantonio, A, Spicchiale, C, Afflitto, G, Gismondi, A, Gorgolini, G, Granai, A, Grande, S, Gravina, A, Ingallinella, S, Keci, L, Latini, E, Marino, D, Oddi, F, Orecchia, L, Don, C, Pellicciaro, M, Petagna, L, Pirozzi, B, Quaranta, C, Rho, M, Rosina, A, Santicchia, M, Saraceno, F, Schiavone, A, Sensi, B, Spina, A, Sullo, L, Tacconi, F, Taje, R, Vanni, G, Vinci, D, Vita, G, Alba, G, Badalucco, S, Carbone, L, Samorani, O, Chisci, G, Cuomo, R, Francia, A, Fusario, D, Gargiulo, B, Pasqui, E, Pasquetti, L, Puoti, P, Resca, L, Cumbo, J, Ganio, S, Vizzielli, G, Anastasi, M, Guerra, D, Romanzi, A, Vannelli, A, Baia, M, Siragusa L., Angelico R., Angrisani M., Zampogna B., Materazzo M., Sorge R., Giordano L., Meniconi R., Coppola A., Marino A., Giraudo G., Esposito S., Urbani A., De Pastena M., Mastrapasqua R., Garancini M., Frontal A., Pascal G., Martellucc J., Falb F., Boscarelli A., Bertoglio P., Trecca E., Galassi L., Vento V., Chiappini A., Antonelli A., Bennardo F., Familiari F., Giannaccare G., Zappia A. S., Giuliani G., Falcone F., Sebastiani S., Montuori M., Rossi S., Sagnotta A., Giuliani B., Imbriani G. C., Restaino S., Andreani L., Di Maria F., Lagana A. S., Vitiello L., Berton F., Virgilio E., Palisi M., Portigliotti L., Calussi M., Conti L., Mauriello C., Barone M., Saladino E., Giaquinta A., Zerb D., Frazzetta G., Merola G., Chierici A., Bini R., Centonze L., De Carlis R., Ferrario L., Giani A., Lauterio A., Tamini N., Corti S., Botteri E., Andreuccetti J., D'Alessio R., Cestaro G., Clarizia G., Spolini A., Carboni A. S., Benzoni E., Galiffa G., Perotti B., Veroux M., Randazzo V., Topa D., Pranteda C., Contini G., Iacusso C., Voglino V., Vita P., Carrano F. M., Ambrosio L., Cammarata R., Capolupo G. T., Caputo D., Carannante F., Cascone C., Esperto F., Farolfi T., Frasca L., Gallo I. F., Gibin G., Giurazza G., Improta L., La Vaccara V., Luffarelli P., Luvero D., Marangi G., Masciana G., Mazzola A., Mazzotta E., Miligi C. I., Montelione N., Nenna A., Orsaria P., Papalia R., Papalia G. F., Parisi F. R., Prata F., Salzillo R., Santini S., Sofo F., Zampoli A., Tanda C., Altieri G., Ardito F., Belia F., Bianchi V., Biondi A., Brisinda G., Chiappetta M., Ciolli G., Ciolli A., Ferracci F., Ferri L., Fico V., Fiorillo C., Fransvea P., Galiandro F., Giovinazzo F., La Greca A., Litta F., Mele C., Pafundi D. P., Panettieri E., Papa V., Patini R., Perrotta G., Puccioni C., Santocchi P., Armatura G., Olmi S., Casoni Pattacini G., Salgarello S., Trompetto M., Bombardini C., La Rocca R., Celentano G., Micalef A., Mazzella A., Settembrini A., Zoia C., Degrate L., Musumeci G., Palopoli C. A. M., Montori G., Bonati E., Dinuzzi V. P., Velluti F., Balla A., Bonasia D. E., Coletta D., Berardi G., Colasanti M., Ferretti S., Gasparoli C., Mariano G., Avenia S., Cianci P., Cestino L., Festa F., Fazio F., Ascari F., Desio M., Arroyo Murillo G. A., Cereda M., Galleano R., David G., Pansini A., Gazia C., Atzori G., Desideri L. F., Famularo S., Galvanin J., Giudici V. M., Mangiameli G., Mei S., Milana F., Pansa A., Sacchi M., Testori A., Di Carlo G., Paratore M., Perrone U., Vagge A., Vigano J., Torre B., Scotti M. A., Carbone G., Cerchione R., De Nardi P., Gozzini L., Ottaviani L., Senni C., Piccin O., Pio L., Colombo F., Avantifiori R., Baldassarri V., Caronna R., Cicerchia P. M., Corallino D., Crocetti D., Gallo G., Giovanardi F., Giovannetti F., Hassan R., Iossa A., Lai Q., Lancellotti F., Lucarini A., Lucchese S., Mazzarella G., Melandro F., Minervini A., Muttillo E. M., Palmieri L., Pasqua R., Rosiello F., Salina G., Sibio S., Sirignano P., Tarallo M., Usai S., Vanni C., Viglietta E., Zambon M., Conversano N. I., Epifani A. G., Milano V., Sacco L., Nava M., Maffioli A., Giuratrabocchetta S., Baracchi F., Zuolo M., Ceresoli M., Verdi D., Belli A., Pata F., Piovano E., Pastore G., Bernabei F., Deiana S., Arceri A., D'Agostino C., Marafante C., Moggia E., Parini S., Moretti M., Uggeri F., Pontarolo N., Fontana T., Palmisano G., Giuffrida M., Guaitoli E., Ferretti C., Iacopino G., Gioco R., Roscitano G., Montanelli P., Chiappetta M. F., Pinotti E., Monati E., Fazio G., Di Pietro F., Damarco F., Barberis A., Razzore A., Pascale A., Loi S., Ferrara F., Rossi M., Lisi G., Viel G., Sasia D., Bono D., Cordaro E. R., Giacomelli E., Giani I., Seriau L., Pellino G., Sparavigna M., Trigiante G., D'Ambrogio R. G., Cardella F., Guzzetti S., Luzzi A. -P., Carganico G., Drago B., Micheletto G., Orlandi R., Cutolo C., Gibello U., Mistrangelo M., Forcignano E., D'Ugo S., Losurdo P., Manitto M., Caroli G., Franco M., Tilocca P. L., Mendogni P., Sena G., Sambucci D., Luciani C., Atelli P., Guida A., Marino F., Morini A., Sibilla M. G., Longo F., Giaccari S., Vigorita V., Balduzzi A., Barra F., Delogu D., Milone E., Bencini L., Aprile V., Papini P., Montemurro N., Cavallo M., Picciariello A., Tomasicchio G., Fittipaldi A., Maruccia M., Gerardi S., Cillara N., Deidda S., Demarinis G., Peiretti E., Tatti F., Iovino C., Isola G., Progno V. C., Migliore M., Badessi G., Barilla C., Calleri G. S., Cianci S., Fama F., Fleres F., Mazzeo C., Visaloco M. G., Marchetto C., Bolognesi F., Benuzzi L., Bracchetti G., Brucchi F., Manzo C. A., Scaravilli L., Ferrari C., Rocca A., Napolitano P., Anoldo P., Caricato C., Manigrasso M., Milone M., Napolitano L., Palomba G., Schiavone V., Vetrella M., Grossi U., Moletta L., Annicchiarico A., Vella I., Talesa G., Boggi U., Aiello F., Anselmo A., Bacchiocchi G., Beati F., Bellato V., Billeci F., Blasi F., Buonomo O. C., Campanelli M., Coco G., Contadini A., Conte L. E., D'Ippolito G., Di Marcantonio A., Spicchiale C. F., Afflitto G. G., Gismondi A., Gorgolini G., Granai A. V., Grande S., Gravina A., Guida A. M., Ingallinella S., Keci L., Latini E., Marino D., Oddi F. M., Orecchia L., Don C. B. P., Pellicciaro M., Petagna L., Pirozzi B. M., Quaranta C., Rho M., Rosina A., Santicchia M. S., Saraceno F., Schiavone A., Sensi B., Spina A., Sullo L., Tacconi F., Taje R., Vanni G., Vinci D., Vita G., Alba G., Badalucco S., Carbone L., Samorani O. C., Chisci G., Cuomo R., Francia A., Fusario D., Gargiulo B., Pasqui E., Pasquetti L., Puoti P., Resca L., Cumbo J., Ganio S., Vizzielli G., Anastasi M., Guerra D., Romanzi A., Vannelli A., Baia M., Siragusa, L, Angelico, R, Angrisani, M, Zampogna, B, Materazzo, M, Sorge, R, Giordano, L, Meniconi, R, Coppola, A, Marino, A, Giraudo, G, Esposito, S, Urbani, A, De Pastena, M, Mastrapasqua, R, Garancini, M, Frontal, A, Pascal, G, Martellucc, J, Falb, F, Boscarelli, A, Bertoglio, P, Trecca, E, Galassi, L, Vento, V, Chiappini, A, Antonelli, A, Bennardo, F, Familiari, F, Giannaccare, G, Zappia, A, Giuliani, G, Falcone, F, Sebastiani, S, Montuori, M, Rossi, S, Sagnotta, A, Giuliani, B, Imbriani, G, Restaino, S, Andreani, L, Di Maria, F, Lagana, A, Vitiello, L, Berton, F, Virgilio, E, Palisi, M, Portigliotti, L, Calussi, M, Conti, L, Mauriello, C, Barone, M, Saladino, E, Giaquinta, A, Zerb, D, Frazzetta, G, Merola, G, Chierici, A, Bini, R, Centonze, L, De Carlis, R, Ferrario, L, Giani, A, Lauterio, A, Tamini, N, Corti, S, Botteri, E, Andreuccetti, J, D'Alessio, R, Cestaro, G, Clarizia, G, Spolini, A, Carboni, A, Benzoni, E, Galiffa, G, Perotti, B, Veroux, M, Randazzo, V, Topa, D, Pranteda, C, Contini, G, Iacusso, C, Voglino, V, Vita, P, Carrano, F, Ambrosio, L, Cammarata, R, Capolupo, G, Caputo, D, Carannante, F, Cascone, C, Esperto, F, Farolfi, T, Frasca, L, Gallo, I, Gibin, G, Giurazza, G, Improta, L, La Vaccara, V, Luffarelli, P, Luvero, D, Marangi, G, Masciana, G, Mazzola, A, Mazzotta, E, Miligi, C, Montelione, N, Nenna, A, Orsaria, P, Papalia, R, Papalia, G, Parisi, F, Prata, F, Salzillo, R, Santini, S, Sofo, F, Zampoli, A, Tanda, C, Altieri, G, Ardito, F, Belia, F, Bianchi, V, Biondi, A, Brisinda, G, Chiappetta, M, Ciolli, G, Ciolli, A, Ferracci, F, Ferri, L, Fico, V, Fiorillo, C, Fransvea, P, Galiandro, F, Giovinazzo, F, La Greca, A, Litta, F, Mele, C, Pafundi, D, Panettieri, E, Papa, V, Patini, R, Perrotta, G, Puccioni, C, Santocchi, P, Armatura, G, Olmi, S, Casoni Pattacini, G, Salgarello, S, Trompetto, M, Bombardini, C, La Rocca, R, Celentano, G, Micalef, A, Mazzella, A, Settembrini, A, Zoia, C, Degrate, L, Musumeci, G, Palopoli, C, Montori, G, Bonati, E, Dinuzzi, V, Velluti, F, Balla, A, Bonasia, D, Coletta, D, Berardi, G, Colasanti, M, Ferretti, S, Gasparoli, C, Mariano, G, Avenia, S, Cianci, P, Cestino, L, Festa, F, Fazio, F, Ascari, F, Desio, M, Arroyo Murillo, G, Cereda, M, Galleano, R, David, G, Pansini, A, Gazia, C, Atzori, G, Desideri, L, Famularo, S, Galvanin, J, Giudici, V, Mangiameli, G, Mei, S, Milana, F, Pansa, A, Sacchi, M, Testori, A, Di Carlo, G, Paratore, M, Perrone, U, Vagge, A, Vigano, J, Torre, B, Scotti, M, Carbone, G, Cerchione, R, De Nardi, P, Gozzini, L, Ottaviani, L, Senni, C, Piccin, O, Pio, L, Colombo, F, Avantifiori, R, Baldassarri, V, Caronna, R, Cicerchia, P, Corallino, D, Crocetti, D, Gallo, G, Giovanardi, F, Giovannetti, F, Hassan, R, Iossa, A, Lai, Q, Lancellotti, F, Lucarini, A, Lucchese, S, Mazzarella, G, Melandro, F, Minervini, A, Muttillo, E, Palmieri, L, Pasqua, R, Rosiello, F, Salina, G, Sibio, S, Sirignano, P, Tarallo, M, Usai, S, Vanni, C, Viglietta, E, Zambon, M, Conversano, N, Epifani, A, Milano, V, Sacco, L, Nava, M, Maffioli, A, Giuratrabocchetta, S, Baracchi, F, Zuolo, M, Ceresoli, M, Verdi, D, Belli, A, Pata, F, Piovano, E, Pastore, G, Bernabei, F, Deiana, S, Arceri, A, D'Agostino, C, Marafante, C, Moggia, E, Parini, S, Moretti, M, Uggeri, F, Pontarolo, N, Fontana, T, Palmisano, G, Giuffrida, M, Guaitoli, E, Ferretti, C, Iacopino, G, Gioco, R, Roscitano, G, Montanelli, P, Pinotti, E, Monati, E, Fazio, G, Di Pietro, F, Damarco, F, Barberis, A, Razzore, A, Pascale, A, Loi, S, Ferrara, F, Rossi, M, Lisi, G, Viel, G, Sasia, D, Bono, D, Cordaro, E, Giacomelli, E, Giani, I, Seriau, L, Pellino, G, Sparavigna, M, Trigiante, G, D'Ambrogio, R, Cardella, F, Guzzetti, S, Luzzi, A, Carganico, G, Drago, B, Micheletto, G, Orlandi, R, Cutolo, C, Gibello, U, Mistrangelo, M, Forcignano, E, D'Ugo, S, Losurdo, P, Manitto, M, Caroli, G, Franco, M, Tilocca, P, Mendogni, P, Sena, G, Sambucci, D, Luciani, C, Atelli, P, Guida, A, Marino, F, Morini, A, Sibilla, M, Longo, F, Giaccari, S, Vigorita, V, Balduzzi, A, Barra, F, Delogu, D, Milone, E, Bencini, L, Aprile, V, Papini, P, Montemurro, N, Cavallo, M, Picciariello, A, Tomasicchio, G, Fittipaldi, A, Maruccia, M, Gerardi, S, Cillara, N, Deidda, S, Demarinis, G, Peiretti, E, Tatti, F, Iovino, C, Isola, G, Progno, V, Migliore, M, Badessi, G, Barilla, C, Calleri, G, Cianci, S, Fama, F, Fleres, F, Mazzeo, C, Visaloco, M, Marchetto, C, Bolognesi, F, Benuzzi, L, Bracchetti, G, Brucchi, F, Manzo, C, Scaravilli, L, Ferrari, C, Rocca, A, Napolitano, P, Anoldo, P, Caricato, C, Manigrasso, M, Milone, M, Napolitano, L, Palomba, G, Schiavone, V, Vetrella, M, Grossi, U, Moletta, L, Annicchiarico, A, Vella, I, Talesa, G, Boggi, U, Aiello, F, Anselmo, A, Bacchiocchi, G, Beati, F, Bellato, V, Billeci, F, Blasi, F, Buonomo, O, Campanelli, M, Coco, G, Contadini, A, Conte, L, D'Ippolito, G, Di Marcantonio, A, Spicchiale, C, Afflitto, G, Gismondi, A, Gorgolini, G, Granai, A, Grande, S, Gravina, A, Ingallinella, S, Keci, L, Latini, E, Marino, D, Oddi, F, Orecchia, L, Don, C, Pellicciaro, M, Petagna, L, Pirozzi, B, Quaranta, C, Rho, M, Rosina, A, Santicchia, M, Saraceno, F, Schiavone, A, Sensi, B, Spina, A, Sullo, L, Tacconi, F, Taje, R, Vanni, G, Vinci, D, Vita, G, Alba, G, Badalucco, S, Carbone, L, Samorani, O, Chisci, G, Cuomo, R, Francia, A, Fusario, D, Gargiulo, B, Pasqui, E, Pasquetti, L, Puoti, P, Resca, L, Cumbo, J, Ganio, S, Vizzielli, G, Anastasi, M, Guerra, D, Romanzi, A, Vannelli, A, Baia, M, Siragusa L., Angelico R., Angrisani M., Zampogna B., Materazzo M., Sorge R., Giordano L., Meniconi R., Coppola A., Marino A., Giraudo G., Esposito S., Urbani A., De Pastena M., Mastrapasqua R., Garancini M., Frontal A., Pascal G., Martellucc J., Falb F., Boscarelli A., Bertoglio P., Trecca E., Galassi L., Vento V., Chiappini A., Antonelli A., Bennardo F., Familiari F., Giannaccare G., Zappia A. S., Giuliani G., Falcone F., Sebastiani S., Montuori M., Rossi S., Sagnotta A., Giuliani B., Imbriani G. C., Restaino S., Andreani L., Di Maria F., Lagana A. S., Vitiello L., Berton F., Virgilio E., Palisi M., Portigliotti L., Calussi M., Conti L., Mauriello C., Barone M., Saladino E., Giaquinta A., Zerb D., Frazzetta G., Merola G., Chierici A., Bini R., Centonze L., De Carlis R., Ferrario L., Giani A., Lauterio A., Tamini N., Corti S., Botteri E., Andreuccetti J., D'Alessio R., Cestaro G., Clarizia G., Spolini A., Carboni A. S., Benzoni E., Galiffa G., Perotti B., Veroux M., Randazzo V., Topa D., Pranteda C., Contini G., Iacusso C., Voglino V., Vita P., Carrano F. M., Ambrosio L., Cammarata R., Capolupo G. T., Caputo D., Carannante F., Cascone C., Esperto F., Farolfi T., Frasca L., Gallo I. F., Gibin G., Giurazza G., Improta L., La Vaccara V., Luffarelli P., Luvero D., Marangi G., Masciana G., Mazzola A., Mazzotta E., Miligi C. I., Montelione N., Nenna A., Orsaria P., Papalia R., Papalia G. F., Parisi F. R., Prata F., Salzillo R., Santini S., Sofo F., Zampoli A., Tanda C., Altieri G., Ardito F., Belia F., Bianchi V., Biondi A., Brisinda G., Chiappetta M., Ciolli G., Ciolli A., Ferracci F., Ferri L., Fico V., Fiorillo C., Fransvea P., Galiandro F., Giovinazzo F., La Greca A., Litta F., Mele C., Pafundi D. P., Panettieri E., Papa V., Patini R., Perrotta G., Puccioni C., Santocchi P., Armatura G., Olmi S., Casoni Pattacini G., Salgarello S., Trompetto M., Bombardini C., La Rocca R., Celentano G., Micalef A., Mazzella A., Settembrini A., Zoia C., Degrate L., Musumeci G., Palopoli C. A. M., Montori G., Bonati E., Dinuzzi V. P., Velluti F., Balla A., Bonasia D. E., Coletta D., Berardi G., Colasanti M., Ferretti S., Gasparoli C., Mariano G., Avenia S., Cianci P., Cestino L., Festa F., Fazio F., Ascari F., Desio M., Arroyo Murillo G. A., Cereda M., Galleano R., David G., Pansini A., Gazia C., Atzori G., Desideri L. F., Famularo S., Galvanin J., Giudici V. M., Mangiameli G., Mei S., Milana F., Pansa A., Sacchi M., Testori A., Di Carlo G., Paratore M., Perrone U., Vagge A., Vigano J., Torre B., Scotti M. A., Carbone G., Cerchione R., De Nardi P., Gozzini L., Ottaviani L., Senni C., Piccin O., Pio L., Colombo F., Avantifiori R., Baldassarri V., Caronna R., Cicerchia P. M., Corallino D., Crocetti D., Gallo G., Giovanardi F., Giovannetti F., Hassan R., Iossa A., Lai Q., Lancellotti F., Lucarini A., Lucchese S., Mazzarella G., Melandro F., Minervini A., Muttillo E. M., Palmieri L., Pasqua R., Rosiello F., Salina G., Sibio S., Sirignano P., Tarallo M., Usai S., Vanni C., Viglietta E., Zambon M., Conversano N. I., Epifani A. G., Milano V., Sacco L., Nava M., Maffioli A., Giuratrabocchetta S., Baracchi F., Zuolo M., Ceresoli M., Verdi D., Belli A., Pata F., Piovano E., Pastore G., Bernabei F., Deiana S., Arceri A., D'Agostino C., Marafante C., Moggia E., Parini S., Moretti M., Uggeri F., Pontarolo N., Fontana T., Palmisano G., Giuffrida M., Guaitoli E., Ferretti C., Iacopino G., Gioco R., Roscitano G., Montanelli P., Chiappetta M. F., Pinotti E., Monati E., Fazio G., Di Pietro F., Damarco F., Barberis A., Razzore A., Pascale A., Loi S., Ferrara F., Rossi M., Lisi G., Viel G., Sasia D., Bono D., Cordaro E. R., Giacomelli E., Giani I., Seriau L., Pellino G., Sparavigna M., Trigiante G., D'Ambrogio R. G., Cardella F., Guzzetti S., Luzzi A. -P., Carganico G., Drago B., Micheletto G., Orlandi R., Cutolo C., Gibello U., Mistrangelo M., Forcignano E., D'Ugo S., Losurdo P., Manitto M., Caroli G., Franco M., Tilocca P. L., Mendogni P., Sena G., Sambucci D., Luciani C., Atelli P., Guida A., Marino F., Morini A., Sibilla M. G., Longo F., Giaccari S., Vigorita V., Balduzzi A., Barra F., Delogu D., Milone E., Bencini L., Aprile V., Papini P., Montemurro N., Cavallo M., Picciariello A., Tomasicchio G., Fittipaldi A., Maruccia M., Gerardi S., Cillara N., Deidda S., Demarinis G., Peiretti E., Tatti F., Iovino C., Isola G., Progno V. C., Migliore M., Badessi G., Barilla C., Calleri G. S., Cianci S., Fama F., Fleres F., Mazzeo C., Visaloco M. G., Marchetto C., Bolognesi F., Benuzzi L., Bracchetti G., Brucchi F., Manzo C. A., Scaravilli L., Ferrari C., Rocca A., Napolitano P., Anoldo P., Caricato C., Manigrasso M., Milone M., Napolitano L., Palomba G., Schiavone V., Vetrella M., Grossi U., Moletta L., Annicchiarico A., Vella I., Talesa G., Boggi U., Aiello F., Anselmo A., Bacchiocchi G., Beati F., Bellato V., Billeci F., Blasi F., Buonomo O. C., Campanelli M., Coco G., Contadini A., Conte L. E., D'Ippolito G., Di Marcantonio A., Spicchiale C. F., Afflitto G. G., Gismondi A., Gorgolini G., Granai A. V., Grande S., Gravina A., Guida A. M., Ingallinella S., Keci L., Latini E., Marino D., Oddi F. M., Orecchia L., Don C. B. P., Pellicciaro M., Petagna L., Pirozzi B. M., Quaranta C., Rho M., Rosina A., Santicchia M. S., Saraceno F., Schiavone A., Sensi B., Spina A., Sullo L., Tacconi F., Taje R., Vanni G., Vinci D., Vita G., Alba G., Badalucco S., Carbone L., Samorani O. C., Chisci G., Cuomo R., Francia A., Fusario D., Gargiulo B., Pasqui E., Pasquetti L., Puoti P., Resca L., Cumbo J., Ganio S., Vizzielli G., Anastasi M., Guerra D., Romanzi A., Vannelli A., and Baia M.
Abstract: COVID-19 negatively affected surgical activity, but the potential benefits resulting from adopted measures remain unclear. The aim of this study was to evaluate the change in surgical activity and potential benefit from COVID-19 measures in perspective of Italian surgeons on behalf of SPIGC. A nationwide online survey on surgical practice before, during, and after COVID-19 pandemic was conducted in March–April 2022 (NCT:05323851). Effects of COVID-19 hospital-related measures on surgical patients’ management and personal professional development across surgical specialties were explored. Data on demographics, pre-operative/peri-operative/post-operative management, and professional development were collected. Outcomes were matched with the corresponding volume. Four hundred and seventy-three respondents were included in final analysis across 14 surgical specialties. Since SARS-CoV-2 pandemic, application of telematic consultations (4.1% vs. 21.6%; p < 0.0001) and diagnostic evaluations (16.4% vs. 42.2%; p < 0.0001) increased. Elective surgical activities significantly reduced and surgeons opted more frequently for conservative management with a possible indication for elective (26.3% vs. 35.7%; p < 0.0001) or urgent (20.4% vs. 38.5%; p < 0.0001) surgery. All new COVID-related measures are perceived to be maintained in the future. Surgeons’ personal education online increased from 12.6% (pre-COVID) to 86.6% (post-COVID; p < 0.0001). Online educational activities are considered a beneficial effect from COVID pandemic (56.4%). COVID-19 had a great impact on surgical specialties, with significant reduction of operation volume. However, some forced changes turned out to be benefits. Isolation measures pushed the use of telemedicine and telemetric devices for outpatient practice and favored communication for educational purposes and surgeon–patient/family communication. From the Italian surgeons’ perspective, COVID-related measures will continue to influence
Published: 2023

36. Effects of conventional and high-definition transcranial direct current stimulation (tDCS) on driving abilities: A tDCS-driving simulator study

Author: Facchin, A, La Rocca, S, Vacchi, L, Daini, R, Gobbo, M, Fontana, S, Lega, C, Facchin, Alessio, La Rocca, Stefania, Vacchi, Laura, Daini, Roberta, Gobbo, Massimiliano, Fontana, Simone, Lega, Carlotta, Facchin, A, La Rocca, S, Vacchi, L, Daini, R, Gobbo, M, Fontana, S, Lega, C, Facchin, Alessio, La Rocca, Stefania, Vacchi, Laura, Daini, Roberta, Gobbo, Massimiliano, Fontana, Simone, and Lega, Carlotta
Abstract: Due to the multitasking nature of driving, drivers are physiologically distracted by both relevant and irrelevant environmental stimuli. The ability to select relevant stimuli and suppress irrelevant distractors during driving are two relevant factors for safety. There is a lot of evidence suggesting that the frontal eye field (FEF) plays an important role in target selection and distractors suppression, as well as in attentional mechanisms crucial for safety driving performance. Taking these two points into account, this study was designed to examine the effects of different transcranial direct current stimulation (tDCS) montages over right FEF to determine whether stimulation of FEF could improve attentional mechanisms in a simulated driving environment. Twenty-seven adult participants took part in the study. A specific driving simulator task was developed in which participants had to respond to brake light events of a preceding car in front of them while driving. The second distracting task consisted of road signs of countries and cities that appeared together with braking lights or alone. Participants were required to respond to one of the two categories with their right hand. These two tasks could be performed alone or in a combined condition. Each participant completed three sessions comparing the effects of different tDCS montages, i.e. conventional, focal 4*1 ring high-definition (HD-tDCS) and sham stimulations over the right FEF. Results indicated an overall better performance under the focal HD-tDCS condition. In particular, participants improved their performance both in braking light RTs and in the second distracting task. Taken together these results are interesting from a theoretical and methodological point of view, by demonstrating a direct effect of anodal focal HD-tDCS on FEF in attentional response during an ecological driving task.
Published: 2023

37. Uncanny valley effect: A qualitative synthesis of empirical research to assess the suitability of using virtual faces in psychological research

Author: Di Natale, A, Simonetti, M, La Rocca, S, Bricolo, E, Di Natale A. F., Simonetti M. E., La Rocca S., Bricolo E., Di Natale, A, Simonetti, M, La Rocca, S, Bricolo, E, Di Natale A. F., Simonetti M. E., La Rocca S., and Bricolo E.
Abstract: Recently, virtual faces are often used as stimuli to replace traditional photographs in human face perception studies. However, despite being increasingly human-like and realistic, they still present flaws in their aspects that might elicit eerie feelings in the observers, known as the Uncanny Valley (UV) effect. The current systematic review offers a qualitative synthesis of empirical studies investigating observers’ subjective experience with virtual compared to real faces to discuss the possible challenges that the UV effect poses when virtual faces are used as stimuli to study face perception. Results: revealed that virtual faces are judged eerier than real faces. Perception of uncanniness represents a challenge in face perception research as it has been associated with negative emotions and avoidance behaviors that might influence observers’ responses to these stimuli. Also, observers perceive virtual faces as more deviating from familiar patterns than real faces. Lower perceptual familiarity might have several implications in face perception research, as virtual faces might be considered as a category of stimuli distinct from real faces and therefore processed less efficiently. In conclusion, our findings suggest that researchers should be cautious in using these stimuli to study face perception.
Published: 2023

38. Segmenting with big data analytics and Python: A quantitative exploratory analysis of household savings

Author: Cuomo, M, Tortora, D, Colosimo, I, Ricciardi Celsi, L, Genovino, C, Festa, G, La Rocca, M, Cuomo M. T., Tortora D., Colosimo I., Ricciardi Celsi L., Genovino C., Festa G., La Rocca M., Cuomo, M, Tortora, D, Colosimo, I, Ricciardi Celsi, L, Genovino, C, Festa, G, La Rocca, M, Cuomo M. T., Tortora D., Colosimo I., Ricciardi Celsi L., Genovino C., Festa G., and La Rocca M.
Abstract: According to the national balance sheets of the most advanced economies, despite a recent sharp decline in per capita net wealth, Italian private households present a higher rate among the wealthiest and least indebted in Europe. Recently, the COVID-19 outbreak caused a new leap in households' savings worldwide, particularly in advanced economies and Italy. This study underlines that using advanced analytics tools, household saving behaviour information, and big data analytics may support data-driven decision approaches addressing the management of complex relationships in the financial arena. More specifically, using exploratory and predictive analyses based on big data analytics and machine learning, this study aims to provide extensive customer profiling in the household saving sector in Italy, supporting a data-driven decision-making approach. A profiling of household savings has been defined using the information provided by big data analysis. To proceed in this direction, the hardware and software requirements necessary to perform data processing were considered in the first phase of the study. Data collection was performed according to the so-called extract, transform, load (ETL) process. The contribution of this study lies in the results obtained in terms of data analytics over a dataset that accounts for the purchasing behaviour of almost 20 million postal savers. The clustering algorithm is highly efficient and scales well for large datasets. K-means clustering can be implemented within the MapReduce computational framework. Therefore, the overall procedure proposed here can be easily extended to big data using parallel computing and software implementing MapReduce, such as Hadoop and Spark.
Published: 2023

39. Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomyssd

Author: Mazzucchi, Edoardo, Hiepe, P., Langhof, M., La Rocca, Giuseppe, Pignotti, Fabrizio, Rinaldi, Pierluigi, Sabatino, Giovanni, Mazzucchi E., La Rocca G., Pignotti F., Rinaldi P., Sabatino G. (ORCID:0000-0002-4227-0434), Mazzucchi, Edoardo, Hiepe, P., Langhof, M., La Rocca, Giuseppe, Pignotti, Fabrizio, Rinaldi, Pierluigi, Sabatino, Giovanni, Mazzucchi E., La Rocca G., Pignotti F., Rinaldi P., and Sabatino G. (ORCID:0000-0002-4227-0434)
Abstract: BackgroundNeuronavigation of preoperative MRI is limited by several errors. Intraoperative ultrasound (iUS) with navigated probes that provide automatic superposition of pre-operative MRI and iUS and three-dimensional iUS reconstruction may overcome some of these limitations. Aim of the present study is to verify the accuracy of an automatic MRI - iUS fusion algorithm to improve MR-based neuronavigation accuracy.MethodsAn algorithm using Linear Correlation of Linear Combination (LC2)-based similarity metric has been retrospectively evaluated for twelve datasets acquired in patients with brain tumor. A series of landmarks were defined both in MRI and iUS scans. The Target Registration Error (TRE) was determined for each pair of landmarks before and after the automatic Rigid Image Fusion (RIF). The algorithm has been tested on two conditions of the initial image alignment: registration-based fusion (RBF), as given by the navigated ultrasound probe, and different simulated course alignments during convergence test.Results Except for one case RIF was successfully applied in all patients considering the RBF as initial alignment. Here, mean TRE after RBF was significantly reduced from 4.03 (+/- 1.40) mm to (2.08 +/- 0.96 mm) (p = 0.002), after RIF. For convergence test, the mean TRE value after initial perturbations was 8.82 (+/- 0.23) mm which has been reduced to a mean TRE of 2.64 (+/- 1.20) mm after RIF (p < 0.001).ConclusionsThe integration of an automatic image fusion method for co-registration of pre-operative MRI and iUS data may improve the accuracy in MR-based neuronavigation.
Published: 2023

40. Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo

Author: Castelletti, F, Consonni, G, La Rocca, L, Castelletti F., Consonni G., La Rocca L., Castelletti, F, Consonni, G, La Rocca, L, Castelletti F., Consonni G., and La Rocca L.
Abstract: We contribute to the discussion of the paper by Ni et al. (Stat Methods Appl, 2021. https://doi.org/10.1007/s10260-021-00572-8) by focusing on two aspects: (i) ordering of the variables for directed acyclic graphical models, and (ii) heterogeneity of the data in the presence of covariates. With regard to (i) we claim that an ordering should be assumed only when strongly reliable prior information is available; otherwise one should proceed with an unspecified ordering to guard against order misspecification. Alternatively, one can carry out Bayesian inference on the space of Markov equivalence classes or use a blend of observational and interventional data to alleviate the lack of identification. With regard to (ii) we complement the Authors’ analysis by enlarging the scope to mixed graphs as well as nonparametric Bayesian models.
Published: 2022

41. Systemic vasculitis: one year in review 2022

Author: La Rocca, G, Del Frate, G, Delvino, P, Di Cianni, F, Moretti, M, Italiano, N, Treppo, E, Monti, S, Talarico, R, Ferro, F, Quartuccio, L, Baldini, C, La Rocca G., Del Frate G., Delvino P., Di Cianni F., Moretti M., Italiano N., Treppo E., Monti S., Talarico R., Ferro F., Quartuccio L., Baldini C., La Rocca, G, Del Frate, G, Delvino, P, Di Cianni, F, Moretti, M, Italiano, N, Treppo, E, Monti, S, Talarico, R, Ferro, F, Quartuccio, L, Baldini, C, La Rocca G., Del Frate G., Delvino P., Di Cianni F., Moretti M., Italiano N., Treppo E., Monti S., Talarico R., Ferro F., Quartuccio L., and Baldini C.
Abstract: Systemic vasculitis are rare heterogeneous disorders potentially involving any organ and system with a relevant burden of mortality and comorbidity. As in the previous annual reviews of this series, in this review we will provide a critical digest of the most recent literature regarding pathophysiology, clinical manifestations, diagnostic tools and treatment options in small- and large-vessel vasculitis.
Published: 2022

42. Intraoperative CT-guided navigation versus fluoroscopy for percutaneous pedicle screw placement in 192 patients: a comparative analysis

Author: La Rocca, Giuseppe, Mazzucchi, Edoardo, Pignotti, Fabrizio, Nasto, L. A., Galieri, Gianluca, Olivi, Alessandro, De Santis, Vincenzo, Rinaldi, Pierluigi, Pola, Enrico, Sabatino, Giovanni, La Rocca G., Mazzucchi E., Pignotti F., Galieri G., Olivi A. (ORCID:0000-0002-4489-7564), De Santis V. (ORCID:0000-0002-4713-2305), Rinaldi P., Pola E. (ORCID:0000-0001-5350-3910), Sabatino G. (ORCID:0000-0002-4227-0434), La Rocca, Giuseppe, Mazzucchi, Edoardo, Pignotti, Fabrizio, Nasto, L. A., Galieri, Gianluca, Olivi, Alessandro, De Santis, Vincenzo, Rinaldi, Pierluigi, Pola, Enrico, Sabatino, Giovanni, La Rocca G., Mazzucchi E., Pignotti F., Galieri G., Olivi A. (ORCID:0000-0002-4489-7564), De Santis V. (ORCID:0000-0002-4713-2305), Rinaldi P., Pola E. (ORCID:0000-0001-5350-3910), and Sabatino G. (ORCID:0000-0002-4227-0434)
Abstract: Background: Percutaneous pedicle screw (PPS) placement is a key step in several minimally invasive spinal surgery (MISS) procedures. Traditional technique for PPS makes use of C-arm fluoroscopy assistance (FA). More recently, newer intraoperative imaging techniques have been developed for PPS, including CT-guided navigation (CTNav). The aim of this study was to compare FA and CTNav techniques for PPS with regard to accuracy, complications, and radiation dosage. Materials and methods: A total of 192 patients with degenerative lumbar spondylolisthesis and canal stenosis who underwent MISS posterior fusion ± interbody fusion through transforaminal approach (TLIF) were retrospectively reviewed. Pedicle screws were placed percutaneously using either standard C-arm fluoroscopy guidance (FA group) or CT navigation (CTNav group). Intraoperative effective dose (ED, mSv) was measured. Screw placement accuracy was assessed postoperatively on a CT scan using Gertzbein and Robbins classification (grades A–E). Oswestry disability index (ODI) and visual analog scale (VAS) scores were compared in both groups before and after surgery. Results: A total of 101 and 91 procedures were performed with FA (FA group) and CTNav approach (CTNav group), respectively. Median age was 61 years in both groups, and the most commonly treated level was L4–L5. Median ED received from patients was 1.504 mSv (0.494–4.406) in FA technique and 21.130 mSv (10.840–30.390) in CTNav approach (p < 0.001). Percentage of grade A and B screws was significantly higher for the CTNav group (96.4% versus 92%, p < 0.001), whereas there were 16 grade E screws in the FA group and 0 grade E screws in the CTNav group (p < 0.001). A total of seven and five complications were reported in the FA and CTNav group, respectively (p = 0.771). Conclusions: CTNav technique increases accuracy of pedicle screw placement compared with FA technique without affecting operative time. Nevertheless, no significant d
Published: 2022

43. The persistence of seizures after tumor resection negatively affects survival in low-grade glioma patients: a clinical retrospective study

Author: Mazzucchi, Edoardo, Vollono, Catello, Pauletto, G., Lettieri, C., Budai, R., Gigli, G. L., Sabatino, Giovanni, La Rocca, Giuseppe, Skrap, M., Ius, T., Mazzucchi E., Vollono C., Sabatino G. (ORCID:0000-0002-4227-0434), La Rocca G., Mazzucchi, Edoardo, Vollono, Catello, Pauletto, G., Lettieri, C., Budai, R., Gigli, G. L., Sabatino, Giovanni, La Rocca, Giuseppe, Skrap, M., Ius, T., Mazzucchi E., Vollono C., Sabatino G. (ORCID:0000-0002-4227-0434), and La Rocca G.
Abstract: Introduction: Seizures are the most common clinical manifestation of low-grade glioma (LGG). Many papers hypothesized an influence of epilepsy on glioma progression. To our knowledge, no clinical study demonstrated a direct relationship between persistence of epileptic seizures after surgery and overall survival (OS) in LGG patients. The present study aims at investigating the correlation between post-operative seizure outcome and survival in tumor-related epilepsy (TRE) patients. Methods: We performed a retrospective analysis of adult patients affected by TRE who underwent surgery for resection of LGG in a single high-volume neurosurgical center. Seizure outcome was assessed 1 year after surgery and categorized according to Engel classification. Clinical, molecular and radiological features were evaluated in univariate and multivariate analyses to investigate the correlation with OS. Results: A total of 146 patients met the inclusion criteria. Histopathological diagnosis was Diffuse Astrocytoma isocitrate dehydrogenase (IDH) wild type in 16 patients (11%), Diffuse astrocytoma IDH mutated in 89 patients (61%) and oligodendroglioma IDH mutated, 1p 19q codeleted in 41 patients (28%). 1 year after surgery, 103 (70.6%) patients were in Engel class 1. Median duration of follow-up period was 69.5 months. Median OS was 79.3 (72.2–86.4) months in the whole population, while it was 86.8 (78.4–95.2), 63.9 (45.7–82), 63.7 (45.2–82.2) and 47.5 (18.3–76.6) months for patients in Engel class 1, 2, 3 and 4, respectively. In a univariate analysis, Engel class evaluated 1 year after surgery significantly influenced OS (p < 0.01). Multivariate analysis showed that OS was independently associated with extent of resection (p = 0.02), molecular class (p < 0.01) and Engel class (p = 0.04). Conclusions: Seizure control 1 year after surgery significantly predicted survival of patients affected by LGG-related epilepsy in a large monocentric retrospective serie
Published: 2022

44. Decisions when interacting in customer-supplier relationships

Author: Guercini, Simone, La Rocca, Antonella, Snehota, Ivan, La Rocca Antonella (ORCID:0000-0003-2931-9245), Guercini, Simone, La Rocca, Antonella, Snehota, Ivan, and La Rocca Antonella (ORCID:0000-0003-2931-9245)
Abstract: inglese
Published: 2022

45. Organ donation from patients with a rare disease is often safe: the italian guidelines

Author: Dallapiccola, B, Moriconi, S, Rugge, M, Cardillo, M, Carcassi, C, Colledan, M, Strologo, L, Vici, C, Facchin, P, Gridelli, B, La Rocca, V, Lombardini, L, Mazzucato, M, Peritore, D, Amoroso, A, Dallapiccola B., Moriconi S., Rugge M., Cardillo M., Carcassi C., Colledan M., Strologo L. D., Vici C. D., Facchin P., Gridelli B., La Rocca V., Lombardini L., Mazzucato M., Peritore D., Amoroso A., Dallapiccola, B, Moriconi, S, Rugge, M, Cardillo, M, Carcassi, C, Colledan, M, Strologo, L, Vici, C, Facchin, P, Gridelli, B, La Rocca, V, Lombardini, L, Mazzucato, M, Peritore, D, Amoroso, A, Dallapiccola B., Moriconi S., Rugge M., Cardillo M., Carcassi C., Colledan M., Strologo L. D., Vici C. D., Facchin P., Gridelli B., La Rocca V., Lombardini L., Mazzucato M., Peritore D., and Amoroso A.
Abstract: Although a disease is defined as rare when it has a prevalence of less than 1:2000, the overall prevalence of rare diseases in the population is greater than 1%. Among potential organ donors, a similar frequency is observed. To date, guidelines have not been established, and operational decisions have been made empirically, case- by-case, based on the experience and expertise of clinicians. For this reason, the Italian Superior Health Council (CSS) has appointed a working Group to address “patients with a rare disease as potential organ donors,” with the aim of devising recommendations for the management of transplant cases in which the donors have a rare disease. This group evaluated 493 diseases (10% of all rare diseases, including over 95% of patients with a rare disease) to deliver a technical report dealing with the suitability of organ donation and transplantation, with a focus on the organs most frequently used, including kidney, liver, heart, lung, and pancreas. This work has made it clear that a rare disease “per se” does not contraindicate organ donation at all. Indeed, in donors affected by a rare disease, almost 80% of the organs are suitable for transplantation, approximately 7% are unsuitable, and approximately 14% are suitable as non-standard with an acceptable risk.
Published: 2022

46. Exploring opportunities and challenges of sustainable start-ups

Author: Dal, Molin, La Rocca, Antonella, La Rocca (ORCID:0000-0003-2931-9245), Dal, Molin, La Rocca, Antonella, and La Rocca (ORCID:0000-0003-2931-9245)
Abstract: The transition to more sustainable methods of production and consumption stimulated growing interest in research. Sustainable entrepreneurship has received increasing attention in the last decade as it is deemed to play a crucial role in the transition (Hallet al., 2010). While research on start-ups in b2b contexts has received increasing attention in the last years, research that specifically addresses the creation and development of sustainable start-ups is still emerging both as sub(field) in entrepreneurship (Perez Nuñez & Musteen, 2020) and as stream of research in the IMP that so far has been mostly focused on sustainability issues in relation to reshaping of existing businesses, business relationships and networks. Given the relevance of better understanding processes related to changes towards a more sustainable economy, our study focuses on the starting up process of sustainability-driven start ups.
Published: 2022

47. SME-Consultant interaction in EU funding projects

Author: Mersico, Luigi, La Rocca, Antonella, Pagano, Alessandro, Perna, Andrea, Antonella La Rocca (ORCID:0000-0003-2931-9245), Mersico, Luigi, La Rocca, Antonella, Pagano, Alessandro, Perna, Andrea, and Antonella La Rocca (ORCID:0000-0003-2931-9245)
Abstract: This paper gives a contribution in SMEs and European Funding projects literature exploring European SME funding project applications leading to failures by adopting the IMP perspective on business relationships and the actor-resource-activity (ARA) model as theoretical framework. In line with the explorative nature of the research question a multiple case study analysis is performed by taking into account three SME-Instrument projects undertaken by Italian SMEs with the support of consulting firm Omega.
Published: 2022

48. Investigating Glioblastoma Multiforme Sub-Proteomes: A Computational Study of CUSA Fluid Proteomic Data

Author: Moresi, F., Rossetti, Diana Valeria, Vincenzoni, F., Simboli, G. A., La Rocca, Giuseppe, Olivi, Alessandro, Urbani, Andrea, Sabatino, Giovanni, Desiderio, Claudia, Rossetti D. V., La Rocca G., Olivi A. (ORCID:0000-0002-4489-7564), Urbani A. (ORCID:0000-0001-9168-3174), Sabatino G. (ORCID:0000-0002-4227-0434), Desiderio C., Moresi, F., Rossetti, Diana Valeria, Vincenzoni, F., Simboli, G. A., La Rocca, Giuseppe, Olivi, Alessandro, Urbani, Andrea, Sabatino, Giovanni, Desiderio, Claudia, Rossetti D. V., La Rocca G., Olivi A. (ORCID:0000-0002-4489-7564), Urbani A. (ORCID:0000-0001-9168-3174), Sabatino G. (ORCID:0000-0002-4227-0434), and Desiderio C.
Abstract: Based on our previous proteomic study on Cavitating Ultrasound Aspirator (CUSA) fluid pools of Newly Diagnosed (ND) and Recurrent (R) glioblastomas (GBMs) of tumor core and periphery, as defined by 5-aminolevulinc acid (5-ALA) metabolite fluorescence, this work aims to apply a bioinformatic approach to investigate specifically into three sub-proteomes, i.e., Not Detected in Brain (NB), Cancer Related (CR) and Extracellular Vesicles (EVs) proteins following selected database classification. The study of these yet unexplored specific datasets aims to understand the high infiltration capability and relapse rate that characterizes this aggressive brain cancer. Out of the 587 proteins highly confidently identified in GBM CUSA pools, 53 proteins were classified as NB. Their gene ontology (GO) analysis showed the over-representation of blood coagulation and plasminogen activating cascade pathways, possibly compatible with Blood Brain Barrier damage in tumor disease and surgery bleeding. However, the NB group also included non-blood proteins and, specifically, histones correlated with oncogenesis. Concerning CR proteins, 159 proteins were found in the characterized GBM proteome. Their GO analysis highlighted the over-representation of many pathways, primarily glycolysis. Interestingly, while CR proteins were identified in ND-GBM exclusively in the tumor zones (fluorescence positive core and periphery zones) as predictable, conversely, in R-GBM they were unexpectedly characterized prevalently in the healthy zone (fluorescence negative tumor periphery). Relative to EVs protein classification, 60 proteins were found. EVs are over-released in tumor disease and are important in the transport of biological macromolecules. Furthermore, the presence of EVs in numerous body fluids makes them a possible low-invasive source of brain tumor biomarkers to be investigated. These results give new hints on the molecular features of GBM in trying to understand its aggressive behavior and ope
Published: 2022

49. Advanced Dissection Lab for Neuroanatomy Training

Author: La Rocca, Giuseppe, Mazzucchi, Edoardo, Pignotti, Fabrizio, Galieri, Gianluca, Rinaldi, P., Sabatino, Giovanni, La Rocca G., Mazzucchi E., Pignotti F., Galieri G., Sabatino G. (ORCID:0000-0002-4227-0434), La Rocca, Giuseppe, Mazzucchi, Edoardo, Pignotti, Fabrizio, Galieri, Gianluca, Rinaldi, P., Sabatino, Giovanni, La Rocca G., Mazzucchi E., Pignotti F., Galieri G., and Sabatino G. (ORCID:0000-0002-4227-0434)
Abstract: No abstract avaible
Published: 2022

50. Identifying distinct clinical clusters in heart failure with mildly reduced ejection fraction

Author: Meijs, Claartje, Brugts, Jasper J., Lund, Lars H., Linssen, Gerard C. M., Brunner-La Rocca, Hans-Peter, Dahlström, Ulf, Vaartjes, Ilonca, Koudstaal, Stefan, Asselbergs, Folkert W., Savarese, Gianluigi, Uijl, Alicia, Meijs, Claartje, Brugts, Jasper J., Lund, Lars H., Linssen, Gerard C. M., Brunner-La Rocca, Hans-Peter, Dahlström, Ulf, Vaartjes, Ilonca, Koudstaal, Stefan, Asselbergs, Folkert W., Savarese, Gianluigi, and Uijl, Alicia
Abstract: Introduction: Heart failure (HF) is a heterogeneous syndrome, and the specific sub-category HF with mildly reduced ejection fraction (EF) range (HFmrEF; 41-49% EF) is only recently recognised as a distinct entity. Cluster analysis can characterise heterogeneous patient populations and could serve as a stratification tool in clinical trials and for prognostication. The aim of this study was to identify clusters in HFmrEF and compare cluster prognosis.Methods and results: Latent class analysis to cluster HFmrEF patients based on their characteristics was performed in the Swedish HF registry (n = 7316). Identified clusters were validated in a Dutch cross-sectional HF registrybased dataset CHECK-HF (n =1536). In Sweden, mortality and hospitalisation across the clusters were compared using a Cox proportional hazard model, with a Fine-Gray sub-distribution for competing risks and adjustment for age and sex. Six clusters were discovered with the following prevalence and hazard ratio with 95% confidence intervals (HR [95%CI]) vs. cluster 1: 1) low-comorbidity (17%, reference), 2) ischaemic-male (13%, HR 0.9 [95% CI 0.7-1.1]), 3) atrial fibrillation (20%, HR 1.5 [95% CI 1.2-1.9]), 4) device/wide QRS (9%, HR 2.7 [95% CI 2.2-3.4]), 5) metabolic (19%, HR 3.1 [95% CI 2.5-3.7]) and 6) cardio-renal phenotype (22%, HR 2.8 [95% CI 2.2-3.6]). The cluster model was robust between both datasets.Conclusion: We found robust clusters with potential clinical meaning and differences in mortality and hospitalisation. Our clustering model could be valuable as a clinical differentiation support and prognostic tool in clinical trial design., Funding Agencies|Swedish National Board of Health and Welfare; Swedish Association of Local Authorities and Regions; Swedish Society of Cardiology; Swedish Heart-Lung Foundation; Servier, the Netherlands; EU/EFPIA Innovative Medicines Initiative 2 Joint Undertaking BigData@Heart; Swedish Research Council; Swedish Heart Lung Foundation [116074]; Stockholm County Council [2013-23897-104604-23, 523-2014-2336]; UCL Hospitals NIHR Biomedical Research Centre [20150557, 20170841]; Dutch Heart Foundation [20140220, 20170112]
Published: 2023
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