Author: "Zaccaria G" - Searchworks@Jio Institute Digital Library Search Results

161 results on '"Zaccaria G"'

1. Hyaluronan Dermal Fillers: Efforts Towards a Wider Biophysical Characterization and the Correlation of the Biophysical Parameters to the Clinical Outcome

Author: La Gatta A, Schiraldi C, Zaccaria G, and Cassuto D
Subjects: dermal filler, degradation, cohesivity, palpability, Dermatology, RL1-803
Abstract: Annalisa La Gatta,1 Chiara Schiraldi,1 Giovanna Zaccaria,2 Daniel Cassuto2 1Department Experimental Medicine, Section of Biotechnology, Medical Histology and Molecular Biology, School of Medicine, University of Campania “L. Vanvitelli”, Naples 80138, Italy; 2Private Practice, Milan, ItalyCorrespondence: Chiara Schiraldi via De Crecchio 7, Naples 80138, ItalyTel +39 081 5667546Fax +39 081 5665897Email chiara.schiraldi@unicampania.itDaniel Cassuto Dr. Daniel Cassuto, Piazza V Giornate 1, Milan 20129, ItalyTel +39 02 36723960Email daniel.cassuto@gmail.comIntroduction: Hyaluronic Acid (HA) fillers are among the most used products in cosmetic medicine. Companies offer different formulations to allow full facial treatment and/or remodeling. Gels are being studied to establish the biophysical properties behind the specific clinical use and a correlation between the gel biophysical properties and their clinical performance. Clinicians’ awareness is growing about the potential benefit deriving from such biophysical characterization.Aim: The Aliaxin® line of HA dermal fillers is the object of this study. The study aimed to widen the biophysical characterization of these gels by investigating a variety of properties to better support their optimal use. Further, we aimed to provide some clinical findings to gain a deeper insight into the correlation between filler features and clinical outcome.Methods: The four gels of the line were investigated, for the first time, for their cohesivity and stability to Reactive Oxygen Species (ROS). Additional secondary rheological parameters; evidence of relative water-uptake ability; and some clinical findings on product safety, palpability and duration of the aesthetic effect are provided.Results and conclusion: The gels proved highly cohesive and sensitive to ROS action with stability declining with the decrease in the overall gel elasticity. The G* and complex viscosity values at clinically relevant frequencies and gel water-uptake ability are consistent with the relative clinical indication related to gel projection and hydration capacity. Clinical outcomes showed the safety of the products and a perception of palpability well correlating with the cohesive/viscosity properties of the gels. A similar duration of the aesthetic effect (up to 1 year) was observed despite the diverse in vitro gel stability. The results broaden our knowledge of these gels and may contribute to optimize their clinical use towards the improvement of patient safety and satisfaction. Initial clinical observation indicated that gel biophysical properties allow for a reliable prediction of gel palpability, while in vitro data on gel stability cannot be related to the duration of the observed skin improvement. The latter finding further corroborates the idea of a skin restoration process activated by the gels besides the physical volumetric action.Keywords: dermal filler, degradation, cohesivity, palpability
Published: 2020

2. Reversal of MYB-dependent suppression of MAFB expression overrides leukaemia phenotype in MLL-rearranged AML

Author: Negri, A., Ward, C., Bucci, A., D’Angelo, G., Cauchy, P., Radesco, A., Ventura, A. B., Walton, D. S., Clarke, M., Mandriani, B., Pappagallo, S. A., Mondelli, P., Liao, K., Gargano, G., Zaccaria, G. M., Viggiano, L., Lasorsa, F. M., Ahmed, A., Di Molfetta, D., Fiermonte, G., Cives, M., Guarini, A., Vegliante, M. C., Ciavarella, S., Frampton, J., and Volpe, G.
Published: 2023
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3. A model-based ultrametric composite indicator for studying waste management in Italian municipalities

Author: Cavicchia, C, Sarnacchiaro, P, Vichi, M, Zaccaria, G, Cavicchia, C, Sarnacchiaro, P, Vichi, M, and Zaccaria, G
Abstract: A Composite Indicator (CI) is a useful tool to synthesize information on a multidimensional phenomenon and make policy decisions. Multidimensional phenomena are often modeled by hierarchical latent structures that reconstruct relationships between variables. In this paper, we propose an exploratory, simultaneous model for building a hierarchical CI system to synthesize a multidimensional phenomenon and analyze its several facets. The proposal, called the Ultrametric Composite Indicator (UCI) model, reconstructs the hierarchical relationships among manifest variables detected by the correlation matrix via an extended ultrametric correlation matrix. The latter has the feature of being one-to-one associated with a hierarchy of latent concepts. Furthermore, the proposal introduces a test to unravel relevant dimensions in the hierarchy and retain statistically significant higher-level CIs. A simulation study is illustrated to compare the proposal with other existing methodologies. Finally, the UCI model is applied to study Italian municipalities’ behavior toward waste management and to provide a tool to guide their councils in policy decisions.
Published: 2024

4. Parsimonious ultrametric Gaussian mixture models

Author: Cavicchia, C, Vichi, M, Zaccaria, G, Cavicchia, C, Vichi, M, and Zaccaria, G
Abstract: Gaussian mixture models represent a conceptually and mathematically elegant class of models for casting the density of a heterogeneous population where the observed data is collected from a population composed of a finite set of G homogeneous subpopulations with a Gaussian distribution. A limitation of these models is that they suffer from the curse of dimensionality, and the number of parameters becomes easily extremely large in the presence of high-dimensional data. In this paper, we propose a class of parsimonious Gaussian mixture models with constrained extended ultrametric covariance structures that are capable of exploring hierarchical relations among variables. The proposal shows to require a reduced number of parameters to be fit and includes constrained covariance structures across and within components that further reduce the number of parameters of the model.
Published: 2024

5. Complex Dimensionality Reduction: ultrametric models for mixed-type data

Author: García-Escudero, LA, Gordaliza, A, Mayo-Iscar, A, Lubiano Gomez, MA, Gil, MA, Grzegorzewski, P, Hryniewicz, O, Mingione, M, Vichi, M, Zaccaria, G, Mingione, M., VIchi, M., Zaccaria, G., García-Escudero, LA, Gordaliza, A, Mayo-Iscar, A, Lubiano Gomez, MA, Gil, MA, Grzegorzewski, P, Hryniewicz, O, Mingione, M, Vichi, M, Zaccaria, G, Mingione, M., VIchi, M., and Zaccaria, G.
Abstract: The factorial latent structure of variables, if present, can be complex and generally identified by nested latent concepts ordered in a hierarchy, from the most specific to the most general one. This corresponds to a tree structure, where the leaves represent the observed variables and the internal nodes coincide with latent concepts defining the general one (i.e., the root of the tree). Although several methodologies have been proposed in the literature to study hierarchical relationships among quantitative variables, very little has been done for more general mixed-type data sets. Hence, it is of the utmost importance to extend these methods and make them suitable to the even more frequent availability of mixed-type data matrices, as complex real phenomena are often described by both qualitative and quantitative variables. In this work, we propose a new exploratory model to study the hierarchical statistical relationships among variables of mixed-type nature by fitting an ultrametric matrix to the general dependence matrix, where the former is one-to-one associated with a hierarchical structure.
Published: 2023

6. Spontaneous hemoperitoneum in pregnancy due to rupture of uterine vessels in woman with endometriosis: a case report

Author: Maiorana, A., primary, Zaccaria, G., additional, Parisi, G., additional, Mercurio, A., additional, and Forlani, F., additional
Published: 2023
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7. Handling missing data in complex phenomena: an ultrametric model-based approach for clustering

Author: Chelli, FM, Ciommi, M, Ingrassia, S, Mariani, F, Recchioni, MC, Greselin, F, Zaccaria, G, Chelli, FM, Ciommi, M, Ingrassia, S, Mariani, F, Recchioni, MC, Greselin, F, and Zaccaria, G
Abstract: In the model-based clustering literature, we find several methodologies to study latent structures underlying the data, among which mixtures of factor analyzers. However, none of them can detect hierarchical relationships among latent variables. The Ultrametric Gaussian Mixture Model (UGMM) is intended to reach this goal by identifying a hierarchy of variables, starting by partitioning the variables into a reduced number of groups per mixture component. Nonetheless, up to now, it requires complete observations, which is often not the case in real data collections. In this paper, we propose the extension of UGMM in the missing data framework. The proposal is applied to a real data set for inspecting the relationships among features of songs of different genres.
Published: 2023

8. Ultrametric Gaussian mixture models with parsimonious structures

Author: Coretto, P, Giordano, G, La Rocca, M, Parrella, ML, Rampichini, C, Zaccaria, G, Coretto, P, Giordano, G, La Rocca, M, Parrella, ML, Rampichini, C, and Zaccaria, G
Abstract: Multidimensional phenomena are usually characterized by nested latent dimensions associated, in turn, with observed variables. These phenomena, for instance, poverty, well-being, and sustainable development, can often differ across countries, or cities within countries, in terms of dimensions, other than in their relationships to each other, on the one hand, and their importance in the definition of the general concept, on the other hand. This paper discusses several parsimonious structures of the covariance matrix reconstructing relationships among variables which can be implemented in Gaussian mixture models to study complex phenomena in heterogeneous populations.
Published: 2023

9. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Author: Adisa, A, Bahrami-Hessari, M, Bhangu, A, George, C, Ghosh, D, Glasbey, J, Haque, P, Ingabire, J, Kamarajah, S, Kudrna, L, Ledda, V, Li, E, Lillywhite, R, Mittal, R, Nepogodiev, D, Ntirenganya, F, Picciochi, M, Simões, J, Booth, L, Elliot, R, Kennerton, A, Pettigrove, K, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, J, Smith, A, Sayed, A, Goswami, A, Malik, A, Mclean, A, Hassan, A, Nazimi, A, Aladna, A, Abdelgawad, A, Saed, A, Abdelmageed, A, Ghannam, A, Mahmoud, A, Alvi, A, Ismail, A, Adesunkanmi, A, Ebrahim, A, Al-Mallah, A, Alqallaf, A, Durrani, A, Gabr, A, Kirfi, A, Altaf, A, Almutairi, A, Sabbagh, A, Ajiya, A, Haddud, A, Alnsour, A, Singh, A, Mittal, A, Semple, A, Adeniran, A, Negussie, A, Oladimeji, A, Muhammad, A, Yassin, A, Gungor, A, Tarsitano, A, Soibiharry, A, Dyas, A, Frankel, A, Peckham-Cooper, A, Truss, A, Issaka, A, Ads, A, Aderogba, A, Adeyeye, A, Ademuyiwa, A, Sleem, A, Papa, A, Cordova, A, Appiah-Kubi, A, Meead, A, Nacion, A, Michael, A, Forneris, A, Duro, A, Gonzalez, A, Altouny, A, Ghazal, A, Khalifa, A, Ozair, A, Quzli, A, Haddad, A, Othman, A, Yahaya, A, Elsherbiny, A, Nazer, A, Tarek, A, Abu-Zaid, A, Al-Nusairi, A, Azab, A, Elagili, A, Elkazaz, A, Kedwany, A, Nuhu, A, Sakr, A, Shehta, A, Shirazi, A, Mohamed, A, Sherif, A, Awad, A, Abbas, A, Abdelrahman, A, Ammar, A, Azzam, A, Ciftci, A, Dural, A, Sanli, A, Rahy-Martín, A, Tantri, A, Khan, A, Al-Touny, A, Tariq, A, Gmati, A, Costas-Chavarri, A, Auerkari, A, Landaluce-Olavarria, A, Puri, A, Radhakrishnan, A, Ubom, A, Pradhan, A, Turna, A, Adepiti, A, Kuriyama, A, Kassam, A, Hassouneh, A, El-Hussuna, A, Habeebullah, A, Mousli, A, Biloslavo, A, Hoang, A, Kirk, A, Santini, A, Melero, A, Calvache, A, Baduell, A, Chan, A, Abrate, A, Balduzzi, A, Sánchez, A, Navarrete-Peón, A, Porcu, A, Brolese, A, Barranquero, A, Saibene, A, Adam, A, Vagge, A, Maquilón, A, Leon-Andrino, A, Sekulić, A, Trifunovski, A, Mako, A, Bedada, A, Broglia, A, Coppola, A, Giani, A, Grandi, A, Iacomino, A, Moro, A, D’Amico, A, Malagnino, A, Tang, A, Doyle, A, Alfieri, A, Haynes, A, Wilkins, A, Baldwin, A, Heriot, A, Laird, A, Lazarides, A, O'Connor, A, Trulson, A, Rokohl, A, Caziuc, A, Triantafyllou, A, Anesi, A, Nikova, A, Andrianakis, A, Charalabopoulos, A, Tsolakidis, A, Chirca, A, Arnaud, A, Narvaez-Rojas, A, Kavalakat, A, Spina, A, Recordare, A, Annicchiarico, A, Conti, A, Mohammed, A, Kocataş, A, Almhimid, A, Arnaout, A, Fahmy, A, Mangi, A, Modabber, A, Ulas, A, Mohamedahmed, A, Frontali, A, Moynihan, A, Yunus, A, Ahmad, A, Kent, A, Khamees, A, Ugwu, A, Turan, A, Navarro-Barrios, A, Yebes, A, De Sousa, Á, Moreno, A, Sethi, A, Dawson, A, Kaur, A, Wolde, A, Antonelli, A, Scifo, A, Alhamad, A, Davis, A, Alderazi, A, Harky, A, Mohammed-Durosinlorun, A, Seguya, A, Okhakhu, A, Chamakhi, A, Sebai, A, Souadka, A, Asla, A, Agrawal, A, Persad, A, Gupta, A, Elgazar, A, Kulkarni, A, Coates, A, Bellés, A, Hadzibegovic, A, Jotic, A, Kowark, A, Martins, A, Pineda, A, Peral, A, Gollarte, A, Senent-Boza, A, Camarena, A, Castaño-Leon, A, Bravo, A, Musina, A, Tapia-Herrero, A, Kothari, A, Raja, A, Aljaiuossi, A, Taha, A, Majbar, A, Prodromidou, A, Kanatas, A, Gupte, A, Zakaria, A, Balla, A, Barberis, A, Bondurri, A, Bottari, A, Costantino, A, Figus, A, Lauretta, A, Mingoli, A, Romanzi, A, Sagnotta, A, Scacchi, A, Picchetto, A, Valadez, A, Luzzi, A, Älgå, A, Fontalis, A, Hecker, A, Demetriades, A, Serban, A, Văcărașu, A, Cokan, A, Isaza-Restrepo, A, Beamish, A, Schache, A, Stevenson, A, Yiu, A, Cockbain, A, Litvin, A, Abad-Motos, A, Becerra, A, Ramos, Á, Chiaradia, A, Dell, A, Romano, A, Pascale, A, Marra, A, Dimas, A, Kolias, A, Cerovac, A, Koneru, A, Tidjane, A, Agbeko, A, Bajaj, A, Gosain, A, Allan, A, Carreras-Castañer, A, D'Amore, A, Dare, A, Maffioli, A, Palepa, A, Paspala, A, Konney, A, Gatta, A, Ezanno, A, Yiallourou, A, Kinnair, A, Rayner, A, Scafa, A, Bowan, A, Veglia, A, Russo, A, Maniaci, A, Castaldi, A, Gil-Moreno, A, Maffuz-Aziz, A, Meola, A, Nenna, A, Ferrer, A, Bonilla, A, Ramos-De La Medina, A, Infante, A, Santoro, A, Laganà, A, Bateman, A, Abozid, A, Seidu, A, Lowery, A, Tantraworasin, A, Rasheed, A, Picciariello, A, Isik, A, Saif, A, Anjum, A, Ioannidis, A, Abeldaño, A, Hussain, A, Nathan, A, Bedzhanyan, A, Perfecto, A, De Virgilio, A, Galvan, A, Sablotzki, A, Böttcher, A, Pellacani, A, Gatti, A, Ibrahimli, A, Menon, A, Sahni, A, Mwenda, A, Choudhry, A, Jayawardane, A, Ramasamy, A, Mitul, A, Bawa, A, Nugur, A, Rammohan, A, Sachdeva, A, Mehraj, A, Yildirim, A, Alqaseer, A, Radwan, A, Sallam, A, Syllaios, A, Tampakis, A, Alwael, A, Samara, A, Eroglu, A, Rahman, A, Ulkucu, A, Zaránd, A, Dulskas, A, Tawiah, A, Zani, A, Vas, A, Lukosiute-Urboniene, A, Adamu, A, Aujayeb, A, İplikçi, A, Mahmud, A, Cil, A, Makanjuola, A, Akwaisah, A, Galandarova, A, Saracoglu, A, Regan, A, Barlas, A, Alhassan, B, Mostafa, B, Hamida, B, Torun, B, Abdullah, B, Balagobi, B, Banky, B, Singh, B, Alegbeleye, B, Yigit, B, Hajjaj, B, Burgos-Blasco, B, Seeliger, B, Alayande, B, Alhazmi, B, Enodien, B, Torre, B, Pérez, B, Tamayo, B, De Andrés-Asenjo, B, Quintana-Villamandos, B, Girgin, B, Barmayehvar, B, Beisenov, B, Creavin, B, Dunne, B, Marson, B, Waterson, B, Martin, B, Zucker, B, Wong, B, Ozmen, B, Hammond, B, Mbwele, B, Núñez, B, Dhondt, B, Gafsi, B, Mcleish, B, Lieske, B, Tailor, B, La Pira, B, Picardi, B, Zampogna, B, Casagranda, B, Festa, B, Panda, B, Kirmani, B, Sulaiman, B, Gurung, B, Zacharia, B, Bette, B, Ayana, B, Nikolovska, B, Vilaró, B, De Vega Sánchez, B, Hameed, B, Diaconescu, B, Kovacevic, B, Bumber, B, Sakakushev, B, Tadic, B, Malek, B, Alrayes, B, Thomas, B, Gális, B, Gallagher, B, Knowles, B, Cunningham, B, Daley, B, Mishra, B, Ashford, B, Pirozzi, B, Berselli, B, Martinez-Leo, B, Sensi, B, Nardo, B, Celik, B, Giray, B, Abud, B, Almiqlash, B, Pramesh, C, Taskiran, C, De Campos Prado, C, Cipolla, C, Kumar, C, English, C, Riccetti, C, Vanni, C, Brasset, C, Downey, C, Duffy, C, Chwat, C, Cutmore, C, Sars, C, Ratto, C, Pacilio, C, De La Infiesta García, C, Moreno, C, Magalhães, C, Prada, C, Zapata, C, Senni, C, Flumignan, C, Martinez-Perez, C, Duarte, C, Garcia, C, Anderson, C, Hing, C, Cullinane, C, Cina, C, Zabkiewicz, C, Sohrabi, C, Guldogan, C, Ciubotaru, C, Desai, C, Raut, C, Demetriou, C, Handford, C, Okpani, C, Paranjape, C, Koh, C, Khatri, C, Parmar, C, Mok, C, Caricato, C, Marafante, C, Echieh, C, Tan, C, Ong, C, Conso, C, Jardinez, C, Konrads, C, Warner, C, Makwe, C, Henein, C, Fleming, C, Roland, C, Maurus, C, Nitschke, C, Mittermair, C, Mallmann, C, Andro, C, Harmston, C, Kuppler, C, Lotz, C, Nahm, C, Rowe, C, Ryalino, C, Wallis, C, Millward, C, Anthoulakis, C, Apostolou, C, Chouliaras, C, Kalfountzos, C, Kaselas, C, Vosinakis, C, Okereke, C, Chean, C, Barlow, C, Tatar, C, Clancy, C, Forde, C, Sharpin, C, Mccarthy, C, Nestor, C, Warden, C, Ávila, C, Massaguer, C, Fang, C, Martins, C, Guerci, C, Mauriello, C, Holzmeister, C, Miller, C, Weber, C, Wiesinger, C, Kenington, C, Noel, C, Sue-Chue-Lam, C, Adumah, C, Neary, C, Sen, C, Fitzgerald, C, Ezeme, C, Nastos, C, Mesina, C, Bombardini, C, Torregrosa, C, Valdespino, C, Don, C, Wickramasinghe, D, Milanesi, D, Armijos, D, Asiimwe, D, Beswick, D, Clerc, D, Cox, D, Doherty, D, Martínez, D, Lechuga, D, Gero, D, Gil-Sala, D, Lindegger, D, Reim, D, Shaerf, D, Shmukler, D, Branzan, D, Filipescu, D, Rega, D, Bernardi, D, Bissacco, D, Fusario, D, Morezzi, D, Sabella, D, Zimak, D, Vinci, D, Sale, D, Khan, D, Thereska, D, Andreotti, D, Tartaglia, D, Abdulai, D, Mukherjee, D, Verdi, D, Idowu, D, John, D, Johnson, D, Moro-Valdezate, D, Naumann, D, Omar, D, Proud, D, Roberts, D, Guzmán, D, Watson, D, Bergkvist, D, Lumenta, D, Ferrari, D, Rizzo, D, Degarege, D, Castillo, D, Douglas, D, Wright, D, Nanjiani, D, Bratus, D, Altun, D, Sievers, D, Vaysburg, D, Katechia, D, Azize, D, Rodrigues, D, Pachajoa, D, Hayne, D, Mutter, D, Raimondo, D, Eskinazi, D, Sasia, D, Corallino, D, Muduly, D, Grewal, D, Hadzhiev, D, Peristeri, D, Pournaras, D, Raptis, D, Angelou, D, Haidopoulos, D, Magouliotis, D, Moris, D, Schizas, D, Symeonidis, D, Tsironis, D, Korkolis, D, Tatsis, D, Thekkinkattil, D, Bulian, D, Pandey, D, Vatansever, D, Parker, D, Wiedemann, D, Borselle, D, Pedini, D, Schweitzer, D, Venskutonis, D, Otokwala, J, Adamu, K, Pk, P, Garod, M, Ellafi, A, Zivkovic, D, Jelovac, D, Wijeysundera, D, Mcpherson, D, Ryan, É, Ugwu, E, Baidoo, E, Shaddad, E, Memişoğlu, E, Naranjo, E, Brodkin, E, Segalini, E, Viglietta, E, Hendriks, E, Bonci, E, Sá-Marta, E, Ortega, E, Gomez, E, Joviliano, E, Clune, E, Horwell, E, Mains, E, Vasarhelyi, E, Caruana, E, Nevins, E, Yenli, E, Baili, E, Lostoridis, E, Morgan, E, Shiban, E, Latif, E, Tampaki, E, Ezenwa, E, Irune, E, Borg, E, Eisa, E, Gialamas, E, Parvez, E, Theophilidou, E, Toma, E, Arnaoutoglou, E, Samadov, E, Kantor, E, Ulman, E, Colak, E, Cassinotti, E, Bannone, E, Sarjanoja, E, Yates, E, Vincent, E, Lun, E, Cerovac, E, Dif, E, Alkhalifa, E, Daketsey, E, Fayad, E, Sheikh, E, Pontecorvi, E, Cammarata, E, La Corte, E, Rausa, E, Odai, E, Guasch, E, Cano-Trigueros, E, Uldry, E, Ros, E, Matthews, E, Donmez, E, Giorgakis, E, Kapetanakis, E, Stamatakis, E, Bua, E, Schneck, E, Nachelleh, E, Ofori, E, Akin, E, Gönüllü, E, Kirkan, E, Çelik, E, Wong, E, Capozzi, E, Pinotti, E, Colás-Ruiz, E, González, E, Fekaj, E, Ohazurike, E, Kebede, E, Erginöz, E, Duran, E, Scott, E, Aytac, E, Albanese, E, Castro, E, Albayadi, E, Kriem, E, Siddig, E, Otify, E, El Tayeb, E, Hong, E, Saguil, E, Belzile, E, Tuyishime, E, Panieri, E, Martínez, E, Myriokefalitaki, E, Samara, E, Agbeno, E, Drozdov, E, Tokidis, E, Shah, F, Barra, F, Carbone, F, Ferreli, F, Marino, F, Martinelli, F, D'Acapito, F, Masciello, F, Bàmbina, F, Issa, F, Salameh, F, Kethy, F, Mahmood, F, Gareb, F, Idrees, F, Karimian, F, Ashraf, F, Haji, F, Inayat, F, Begum, F, Nabil, F, Rosa, F, Haider, F, Parray, F, Calculli, F, Ferracci, F, Saraceno, F, Coppola, F, Coccolini, F, 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Sean, Stevens, Sean, Demir, Sebahattin, Ken-Amoah, Sebastian, Tranca, Sebastian, Ziemann, Sebastian, Awad, Selmy, Atici, Semra Demirli, Subramaniam, Sentilnathan, Erel, Serap, Jiang, Serena, Efetov, Sergey, Efremov, Sergey, Katorkin, Sergey, Valladares, Sergio Chávez, Contreras, Sergio Marcos, Meriç, Serhat, Zenger, Serkan, Safi, Seyer, Leventoğlu, Sezai, Elsalhawy, Shady, Shaikh, Shafaque, Sheik, Shahila, Islam, Shahnoor, Shamim, Shahzad, Waqar, Shahzad Hussain, Ahmad, Shahzaib, Farid, Shahzaib, Seraj, Shaikh Sanjid, Sundarraju, Shalini, Karandikar, Sharad, Sambhwani, Sharan, Chopra, Sharat, Chowdhury, Sharfuddin, Laura, Sharon, Ahmed, Sharwany, Wason, Shaun, Tan, Shawn Jia Hwang, Fraser, Sheila, Williams, Shekinah, Ghozy, Sherief, Abdelmawgoud, Sherif, Shehata, Sherif, Sharma, Shilpa, Ahmed, Shima, Al-Touny, Shimaa A, Ramzanali, Shireen, Nah, Shireen Anne, Jansen, Shirley, Rajan, Shiv, Dindyal, Shiva, Amin, Shivang, Ahmad, Shoaib, Shoukrie, Shoukrie I M, Karar, Shoura, Patkar, Shraddha, Abdulsalam, Shuaib, Lin, Shuxun, Hegde, Siddhi, Fiorelli, Silvia, Quaresima, Silvia, Redondo, Silvia Villacé, Palmisano, Silvia, Ruggiero, Silvia, Balogun, Simon, Cais, Simon, Cole, Simon, Federer, Simon, Le Roux, Simon, Ippoliti, Simona, Meneghini, Simona, Viola, Simona, Manfredelli, Simone, Novello, Simone, Gananadha, Sivakumar, Mesli, Smain Nabil, Kale, Smruti, Tani, Sobhana Iftekhar, Malik, Sobia, Anastasiadou, Sofia, Boligo, Sofia, Esposito, Sofia, Valanci, Sofia, Xenaki, Sofia, Pejkova, Sofija, Bandyopadhyay, Soham, Trungu, Sokol, Basu, Somprakas, Alkhatib, Sondos, Pérez-Bertólez, Sonia, Flores, Sonia Lopez, Donoghue, Sophie, Lunca, Sorinel, Orsoo, Soyombo, Potamianos, Spyridon, Devarakonda, Sreekar, Suresh, Sreelakshmi, Croghan, Stefanie M, Turi, Stefano, Capella, Stefano, Lucchini, Stefano, Magnone, Stefano, Salizzoni, Stefano, Scabini, Stefano, Scaringi, Stefano, Cioffi, Stefano Piero Bernardo, Seyfried, Steffen, Degener, Stephan, Potten, Stephanie, Taha-Mehlitz, Stephanie, Ali, Stephen, Angamuthu, Stephen, Mcaleer, Stephen, Knight, Stephen Richard, White, Stuart, Mantziari, Styliani, Kykalos, Stylianos, Goh, Su Kah, Chowdhury, Subhadip Pal, Ibrahim, Sufyan, Elzwai, Suha, Bansal, Sujesh, Tripathy, Sujit, Amrayev, Sultan, Anwar, Sumadi Lukman, Banerjee, Sumit, Thakar, Sumit, Saeed, Summaya, Venkatappa, Sunil Kumar, Das, Sunit, Techapongsatorn, Suphakarn, Dube, Surya Kumar, Lee, Susan, González-Suárez, Susana, Henriques, Susana, Konjevoda, Suzana, Gisbertz, Suzanne, Bravo, Sybil Lizanne, Mannan, Syed, Bukhari, Syed Imran, Zafar, Syed Nabeel, Batista, Sylvia, Chin, Synn Lynn, Arif, Tahera, Lawal, Taiwo Akeem, Aktokmakyan, Talar Vartanoglu, Osborn, Tamara, Szakmany, Tamas, Sztipits, Tamás, Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchis, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistoklis, Liakakos, Theodore, Sidiropoulos, Theodoros, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thomas, Diehl, Thomas, Pinkney, Thomas, Raymond, Thomas, Rhomberg, Thomas, Schmitz-Rixen, Thomas, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemachos, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobias, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Janis, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uros, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileios, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasios, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, and Balogh, Zsolt J
Abstract: Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was coprioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
Published: 2023

10. Hierarchical disjoint principal component analysis

Author: Cavicchia, C, Vichi, M, Zaccaria, G, Cavicchia, C, Vichi, M, and Zaccaria, G
Abstract: Dimension reduction, by means of Principal Component Analysis (PCA), is often employed to obtain a reduced set of components preserving the largest possible part of the total variance of the observed variables. Several methodologies have been proposed either to improve the interpretation of PCA results (e.g., by means of orthogonal, oblique rotations, shrinkage methods), or to model oblique components or factors with a hierarchical structure, such as in Bi-factor and High-Order Factor analyses. In this paper, we propose a new methodology, called Hierarchical Disjoint Principal Component Analysis (HierDPCA), that aims at building a hierarchy of disjoint principal components of maximum variance associated with disjoint groups of observed variables, from Q up to a unique, general one. HierDPCA also allows choosing the type of the relationship among disjoint principal components of two sequential levels, from the lowest upwards, by testing the component correlation per level and changing from a reflective to a formative approach when this correlation turns out to be not statistically significant. The methodology is formulated in a semi-parametric least-squares framework and a coordinate descent algorithm is proposed to estimate the model parameters. A simulation study and two real applications are illustrated to highlight the empirical properties of the proposed methodology.
Published: 2023

11. An ultrametric model to build a Composite Indicators system

Author: Cavicchia, C, Sarnacchiaro, P, Vichi, M, Zaccaria, G, Cavicchia, C, Sarnacchiaro, P, Vichi, M, and Zaccaria, G
Subjects: Model-based clustering, statistical estimation, latent concept, Climate change, Sustainable development goals, latent variable model, hierarchical model, model-based, Ultrametric model, Composite indicator, Hierarchical structure
Abstract: In the last years, the use of composite indicators has consistently increased, and the necessity to build model-based composite indicators with a strong methodological statistical approach becomes more and more important for reasons of trustworthiness. In this paper, we propose to build a composite indicators system able to measure different levels of relations among (group of) variables according to an ultrametric form which detects a hierarchical structure upon (group of) variables. Each dimension is measured as a specific composite indicator which reflects a subset of variables. In order to show its potential and applicability, the methodology is employed to analyze a dataset which contains variables about separated waste collection in Italy taking into consideration both its performance and its costs.
Published: 2022

12. P1245: CLINICAL IMPACT OF IMMUNOGLOBULIN HEAVY CHAIN REPERTOIRE IN MANTLE CELL LYMPHOMA: A STUDY FROM THE FONDAZIONE ITALIANA LINFOMI (FIL) PHASE III MCL0208 TRIAL.

Author: Alessandria, B., primary, Genuardi, E., additional, Civita, A. M., additional, Drandi, D., additional, Mantoan, B., additional, Ferrante, M., additional, Borriero, M., additional, Ragaini, S., additional, Bondielli, G., additional, Zaccaria, G. M., additional, Barbero, D., additional, Peri, V., additional, Hohaus, S., additional, Musuraca, G., additional, Cascavilla, N., additional, Ghiggi, C., additional, Tani, M., additional, Gaidano, G., additional, Volpetti, S., additional, Usai, S. V., additional, Di Renzo, N., additional, Cortelazzo, S., additional, Ladetto, M., additional, and Ferrero, S., additional
Published: 2022
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13. Adenosine pathway inhibitors: novel investigational agents for the treatment of metastatic breast cancer

Author: Rizzo, A., Massafra, R., Fanizzi, A., Rinaldi, L., Cusmai, A., Latorre, A., Zaccaria, G. M., Ronchi, M., Telegrafo, M., Gadaleta-Caldarola, G., Giotta, F., Lorusso, V., and Palmiotti, G.
Subjects: Pharmacology, CD39, Adenosine, adenosine, Breast cancer, CD73, immunotherapy, oleclumab, triple-negative breast cancer, Apoptosis, Breast Neoplasms, General Medicine, Adenosine Triphosphate, Humans, Pharmacology (medical), Female, Immunotherapy
Abstract: The adenosine pathway has been suggested to play a key role in several carcinogenetic processes, with the metabolism of adenosine-5'-triphosphate (ATP) and its derivatives reported to be dysregulated in breast cancer. Preclinical evidence has supported the role of adenosine in the pathogenesis of this malignancy as well as the development of selective adenosine pathway inhibitors.The paper overviews the evidence regarding the use of adenosine pathway inhibitors in breast cancer; a literature search was conducted in January 2022 of Pubmed/Medline, Cochrane library, and Scopus databases.The adenosine pathway regulates inflammation, apoptosis, metastasis, and cell proliferation in breast cancer cells, and adenosine pathway inhibitors have yielded encouraging results in early-phase clinical trials. Well-designed, multicenter studies focused on monotherapies and combination therapies (which include immune checkpoint inhibitors) are warranted in this setting.
Published: 2022

14. Gaussian mixture model with an extended ultrametric covariance structure

Author: Cavicchia, C, Vichi, M, Zaccaria, G, Carlo Cavicchia, Maurizio Vichi, GIorgia Zaccaria, Cavicchia, C, Vichi, M, Zaccaria, G, Carlo Cavicchia, Maurizio Vichi, and GIorgia Zaccaria
Abstract: Gaussian Mixture Models (GMMs) are one of the most widespread methodologies for model-based clustering. They assume a multivariate Gaussian distribution for each component of the mixture, centered at the mean vector and with volume, shape and orientation derived by the covariance matrix. To reduce the large number of parameters produced by the covariance matrices, parsimonious parameterizations of the latter were proposed in literature, e.g., the eigen-decomposition and the parsimonious GMMs based on mixtures of probabilistic principal component analyzers and mixtures of factor analyzers. We introduce a new parameterization of a covariance matrix by defining an extended ultrametric covariance matrix and we implement it into a GMM. This structure can be used to describe multidimensional phenomena which are characterized by nested latent concepts having different levels of abstraction, from the most specific to the most general. The proposal is able to pinpoint a hierarchical structure on variables for each component of the GMM, thus identifying a different characterization of a multidimensional phenomenon for each component (cluster, subpopulation) of the mixture. At the same time, it defines a new parsimonious GMM since the ultrametric covariance structure reconstructs the relationships among variables with a limited number of parameters. The proposal is applied on synthetic and real data. On the former it shows good performance in terms of classification when compared to the other existing parameterizations, and on the latter it also provides insight into the hierarchical relationships among the variables for each cluster.
Published: 2022

15. An ultrametric model for building a composite indicator system to study climate change in European countries

Author: Balzanella, A, Bini, C, Cavicchia, C, Verde, R, Zaccaria, G, Sarnacchiaro, P, Giorgia Zaccaria, Pasquale Sarnacchiaro, Balzanella, A, Bini, C, Cavicchia, C, Verde, R, Zaccaria, G, Sarnacchiaro, P, Giorgia Zaccaria, and Pasquale Sarnacchiaro
Abstract: Il cambiamento climatico e uno dei temi più urgenti nel dibattito pubblico, incluso nell’Agenda 2030 per lo sviluppo sostenibile adottata dalle Nazioni Unite, a causa dei rischi che può comportare per la vita umana. Esso rappresenta un fenomeno multidimensionale definito da diverse dimensioni, ognuna delle quali misurata da un insieme di variabili direttamente osservabili, che riguardano le emissioni di gas serra, le cause del cambiamento climatico, le sue conseguenze per gli umani e la natura e gli sforzi messi in campo dal genere umano per evitare e adattarsi a tali conseguenze. In questo lavoro, introduciamo un nuovo approccio basato su modello per studiare questo fenomeno e le sue diverse caratterizzazioni nei paesi europei. La proposta metodologica ha l’obiettivo di costruire un sistema di indicatori compositi per identificare i principali fattori che determinano il cambiamento climatico e fornire di conseguenza indicazioni per attuare politiche nel contesto europeo volte a combattere il cambiamento climatico., Nowadays climate change is one of the most urgent topics in public de bate, also included into the 2030 Agenda for Sustainable Development adopted by the United Nations, because of its risks for human life. It represents a multidimensional phenomenon defined by different dimensions that pertain to greenhouse as emissions, human causes of climate change, impacts on humans and natural systems, and efforts of human to avoid and adapt to the consequences, each of which is described by a set of variables directly observed. In this paper, we introduce a new model-based approach to study this phenomenon and its different characterization in European countries. The proposal aims at building a system of composite indicators in order to understand the main determinants of this phenomenon, and to provide guidelines for policy decisions to combat climate change in the European Union framework.
Published: 2022

16. Development of innovative technologies for manufacturing of certified narrow body aircraft composite flap

Author: Alberotanza, D., primary, Pinto, F., additional, Polo, S., additional, Zaccaria, G., additional, and Capoccello, D., additional
Published: 2022
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17. A COMPLETELY GENETIC PROGNOSTIC MODEL OVERCOMES CLINICAL PROGNOSTICATORS IN MANTLE CELL LYMPHOMA: RESULTS FROM THE MCL0208 TRIAL FROM THE FONDAZIONE ITALIANA LINFOMI (FIL)

Author: Ferrero, S., primary, Moia, R., additional, Cascione, L., additional, Zaccaria, G. M., additional, Rinaldi, A., additional, Alessandria, B., additional, Grimaldi, D., additional, Favini, C., additional, Evangelista, A., additional, Schipani, M., additional, Narni, F., additional, Stelitano, C., additional, Stefani, P. M., additional, Benedetti, F., additional, Mian, M., additional, Casaroli, I., additional, Zanni, M., additional, Castellino, C., additional, Pavone, V., additional, Galimberti, S., additional, Re, F., additional, Rossi, D., additional, Cortelazzo, S., additional, Gaidano, G., additional, Ladetto, M., additional, and Bertoni, F., additional
Published: 2021
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18. A parsimonious parameterization of a nonnegative correlation matrix

Author: Ingrassia, S, Punzo, A, Rocci, R, Cavicchia, C, Vichi, M, Zaccaria, G, Ingrassia, S, Punzo, A, Rocci, R, Cavicchia, C, Vichi, M, and Zaccaria, G
Abstract: Hierarchical relationships among manifest variables can be detected by analyzing their correlation matrix. To pinpoint the hierarchy underlying a multidimensional phenomenon, the Ultrametric Correlation Model (UCM) has been proposed with the aim of reconstructing a nonnegative correlation matrix via an ultrametric one. In this paper, we illustrate the mathematical advantages that a simple structure induced by the ultrametric property entails for the estimation of the UCM parameters in a maximum likelihood framework.
Published: 2021

19. Model-based clustering with parsimonious covariance structure

Author: Cavicchia, C, Vichi, M, Zaccaria, G, Cavicchia, C, Vichi, M, and Zaccaria, G
Abstract: Complex multidimensional concepts are often explained by a tree-shape structure by considering nested partitions of variables, where each variable group is associated with a specific concept. Recalling that relations among variables can be detected by their covariance matrix, this paper introduces a covariance structure that reconstructs hierarchical relationships among variables highlighting three features of the variable groups. We finally present an application of the latter covariance structure to the model-based clustering.
Published: 2021

20. The ultrametric covariance model for modelling teachers’ job satisfaction

Author: Cavicchia, C, Vichi, M, Zaccaria, G, Cavicchia, C, Vichi, M, and Zaccaria, G
Abstract: Multidimensional phenomena are often characterised by nested latent concepts ordered in a hierarchical structure, from the most specific to the most general ones. In this paper, we model a nonnegative data covariance matrix by extending the Ultrametric Correlation Model to covariance matrices. The proposal is a parsimonious model which identifies a partition of variables in a reduced number of groups, and the relationships among them via the ultrametric property. The proposed model is applied to investigate the relationships among the dimensions of the Teachers' Job Satisfaction in Italian secondary schools.
Published: 2021

21. Metodo giuridico e metodo ermeneutico. Dall'ermeneutica nel diritto civile all'ermeneutica negli altri campi del sapere

Author: Banfi, A., Birocchi, I., Brutti, M., Carratta, A., Cervati, Aa., Grondona, M., Leysser, Leon, Nitsch, C., Petrillo, F., Stolfi, E., Vargiu, L., Zaccaria, G., and Zanchini, G.
Published: 2020

22. Tolerancia y política de reconocimiento

Author: Zaccaria, G. (Giuseppe)
Subjects: Multiculturalismo, Immunology and Allergy, Estado de derecho, Tolerancia
Published: 2018

23. I giudici di valore nell'interpretazione giuridica

Author: Zaccaria, G. (Giuseppe)
Subjects: Interpretación, Ley, Derecho [Materias Investigacion], Ética, Immunology and Allergy, Moral
Abstract: Il saggio analizza il tema dei giudizi di valore nell'interpretazione giuridica come variante del più ampio rapporto tra diritto e morale. Attraverso un esame delle tesi del formalismo e dell'antiformalismo interpretativi, del più recente dibattito tra "giuspositivismo esclusivo e "giuspositivismo inclusivo", e alta luce della novità, sottolineata dal neocostituzionalismo e rappresentata dall'ingresso dei principi negli ordinamenti costituzionali contemporanei, si conferma la tesi, sempre più accolta dalla teoria giuridica contemporanea, per cui i giudici hanno strutturalmente a che fare nel loro ragionamento con giudizi di valore. La più recente e avvertita teoria giuridica cerca di individuare come e in quale misura i giudizi di valore siano rilevanti nell'attività giudiziale e quali conseguenze ciò comporti per lo stesso statuto dell'interpretazione. Il contributo dell'ermeneutica giuridica sta proprio nel riconoscere che il ragionamento giudiziale viene strutturalmente in contatto con la dimensione assiologica ma nel contempo, contra ogni deriva scettica, si sforza di reperire criteri intersoggettivi che contengano i possibili arbitri impliciti nella discrezionalità giudiziale.
Published: 2018

24. The ultrametric correlation matrix for modelling hierarchical latent concepts

Author: Cavicchia, C, Vichi, M, Zaccaria, G, Carlo Cavicchia, Maurizio Vichi, GIorgia Zaccaria, Cavicchia, C, Vichi, M, Zaccaria, G, Carlo Cavicchia, Maurizio Vichi, and GIorgia Zaccaria
Abstract: Many relevant multidimensional phenomena are defined by nested latent concepts, which can be represented by a tree-structure supposing a hierarchical relationship among manifest variables. The root of the tree is a general concept which includes more specific ones. The aim of the paper is to reconstruct an observed data correlation matrix of manifest variables through an ultrametric correlation matrix which is able to pinpoint the hierarchical nature of the phenomenon under study. With this scope, we introduce a novel model which detects consistent latent concepts and their relationships starting from the observed correlation matrix.
Published: 2020

25. Exploring hierarchical concepts: theoretical and application comparisons

Author: Imaizumi, T, Nakayama, A, Yokoyama, S, Cavicchia, C, Vichi, M, Zaccaria, G, Imaizumi, T, Nakayama, A, Yokoyama, S, Cavicchia, C, Vichi, M, and Zaccaria, G
Abstract: Phenomena are usually multidimensional and their complexity cannot be directly explored via observable variables. For this reason, a hierarchical structure of nested latent concepts representing different levels of abstraction of the phenomenon under study may be considered. In this paper, we provide a comparison between a procedure based on hierarchical clustering methods and a novelty model recently proposed, called Ultrametric Correlation Matrix (UCM) model. The latter aims at reconstructing the data correlation matrix via an ultrametric correlation matrix and supplies a parsimonious representation of multidimensional phenomena through a partition of the observable variables defining a reduced number of latent concepts. Moreover, the UCM model highlights two main features related to concepts: the correlation among concepts and the internal consistency of a concept. The performances of the UCM model and the procedure based on hierarchical clustering methods are illustrated by an application to the Holzinger data set which represents a real demonstration of a hierarchical factorial structure. The evaluation of the different methodological approaches—the UCM model and the procedure based on hierarchical clustering methods—is provided in terms of classification of variables and goodness of fit, other than of their suitability to analyse bottom-up latent structures of variables.
Published: 2020

26. Exploring drug consumption via an ultrametric correlation matrix

Author: Zaccaria, G, Vichi, M, Zaccaria, G, and Vichi, M
Abstract: In many real applications, the existence of a general concept (a multidimensional phenomenon) composed of nested specific ones is often theorised. In the specialised literature, different sequential methodologies have been proposed to identify a hierarchy of latent dimensions. In this paper, we investigate drug consumption via an ultrametric correlation matrix which allows to detect different, nonoverlapping groups of drugs and their hierarchical relationships, starting from the correlation matrix of the observed data. Since its social and economic relevance, a model-based approach to drug consumption can provide an in-depth understanding of this challenging phenomenon, which turns out to be fundamental to address policies aimed at reducing it.
Published: 2020

27. Image-Based Automatic Method to Not Invasively Monitor the Heart Rhythm of Zebrafish Embryos: P77 (EI0287)

Author: Hadhoud, M., De Luca, E., Zaccaria, G. M., Rizzo, G., Farag, A., Eladawy, M., Massai, D., Ponzini, R., Montevecchi, F. M., Santoro, M., and Morbiducci, U.
Published: 2011

28. COMPREHENSIVE ANALYSIS OF BASELINE OUTCOME BIOPREDICTORS IN YOUNGER PATIENTS WITH MANTLE CELL LYMPHOMA: THE ANCILLARY BIOLOGICAL STUDIES OF FONDAZIONE ITALIANA LINFOMI (FIL) MCL0208 CLINICAL TRIAL

Author: Ferrero, S., Zaccaria, G. M., Barbero, D., Evangelista, A., Di Rocco, A., Re, A., Stefoni, V., Cavallo, F., Vitolo, U., Balzarotti, M., Rusconi, C., da Silva, Gomes M., Ghislieri, M., Omedè, P., Zamò, A., Ciccone, G., Gattei, V., Gaidano, G., Cortelazzo, S., and Ladetto, M.
Published: 2019

29. A new hierarchical model-based composite indicator on climate change

Author: Cavicchia, C. (Carlo), Vichi, M. (Maurizio), Zaccaria, G. (Giorgia), Cavicchia, C. (Carlo), Vichi, M. (Maurizio), and Zaccaria, G. (Giorgia)
Published: 2019

30. Hierarchical clustering and dimensionality reduction for big data

Author: Cavicchia, C, Vichi, M, Zaccaria, G, Carlo Cavicchia, Maurizio Vichi, Giorgia Zaccaria, Cavicchia, C, Vichi, M, Zaccaria, G, Carlo Cavicchia, Maurizio Vichi, and Giorgia Zaccaria
Abstract: The development of new technologies and methods of data collection produces the necessity to summarise the large quantity of information that is available. Usually, we face a data matrix X of size (n x J), corresponding to n statistical units and J quantitative variables, where n and J are very large. Clustering is the analysis which identifies homogeneous clusters of units, thus it might be meant as a way to reduce their dimension. Dimensionality reduction techniques are methods to obtain latent dimensions (less than manifest variables), so they reduce the dimensionality of the variables space. In this paper, we apply Double Hierarchical Parsimonious Means Clustering (Cavicchia et al., 2019) in order to get a simultaneous hierarchical parsimonious clustering of units - aggregated around centroids - and dimensionality reduction of variables - aggregated around components - on Asia-Europe Meeting (ASEM) data set. The model is estimated by using the LS method and an efficient coordinate descent algorithm is given. The goodness of fit of the double hierarchical parsimonious trees can be computed to assess the quality of the two hierarchical partitions.
Published: 2019

31. Dimensionality reduction via hierarchical factorial structure

Author: Porzio, GC, Greselin, F, Balzano, S, Cavicchia, C, Vichi, M, Zaccaria, G, Cavicchia, Carlo, Vichi, Maurizio, Porzio, GC, Greselin, F, Balzano, S, Cavicchia, C, Vichi, M, Zaccaria, G, Cavicchia, Carlo, and Vichi, Maurizio
Abstract: Manifold multidimensional concepts are explained via a tree-shape structure by taking into account the nested hierarchical partition of variables. The root of the tree is a general concept which includes more specific ones. In order to detect the different specific concepts at each level of the hierarchy, we can identify two different features regarding groups of variables: the internal consistency of a concept and the correlation between concepts. Thus, given a data positive correlation matrix, we reconstruct the latter via an ultrametric correlation matrix which detects hierarchical concepts by looking for their internal consistency and the correlation between them measured by relative indices.
Published: 2019

32. A new hierarchical model-based composite indicator on climate change

Author: Cavicchia, C, Vichi, M, Zaccaria, G, Cavicchia, C, Vichi, M, and Zaccaria, G
Abstract: In recent years, climate change is a crucial and compelling topic in public debate because of the risks for human life it could entail. This paper proposes a new hierarchical model-based composite indicator to explore the latent dimensions defining the climate change phenomenon. One of its main advantage is that it allows to investigate the order and the magnitude of the hierarchical aggregations and, in several cases, it leads to the definition of new latent and not-theoretically defined dimensions.
Published: 2019

33. Feline morbillivirus infection in domestic cats in Italy: epidemiological and pathological aspects

Author: DE LUCA, Eliana, Crisi, P. E., Febo, E., Di Tommaso, M., Malatesta, D., Zaccaria, G., Marcacci, M., Di Francesco, G., Di Domenico, M., Giovannini, A., Di Guardo, G., Savini, G., Boari, A., and Lorusso, A.
Published: 2017

34. First report of feline morbillivirus in Europe

Author: Lorusso, A., Di Tommaso, M., Di Felice, E., Zaccaria, G., Luciani, A., Marcacci, M., Aste, G., Boari, A., and Giovanni Savini
Subjects: Europe, Cats, Veterinary (all), Animals, Cat, Cat Diseases, Nephropathy, Morbillivirus Infections, Feline morbillivirus
Abstract: Feline morbillivirus was detected in urine samples of a 15 year old cat suffering from severe nephropathy. Viral RNA was not detected in blood and faecal samples and also the most common pathogens associated to cat kidney failure were not found. This report describes the first evidence of feline morbillivirus in Europe.
Published: 2015

35. FELINE MORBILLIVIRUS IDENTIFICATO NELLE URINE DI UN GATTO ANZIANO E NEFROPATICO NELLA CITTA’ DI TERAMO

Author: Lorusso, A, Marcacci, M, DI TOMMASO, Morena, DI FELICE, Elisabetta, Zaccaria, G, Mangone, I, Luciani, Alessia, Aste, Giovanni, Boari, Andrea, and Savini, G.
Published: 2015

36. PRNP polymorphisms in Tunisian sheep breeds

Author: Kdidi, S., Yahyaoui, M.H., Conte, M., Chiappini, B., Zaccaria, G., Ben Sassi, M., Ben Ammar El Gaaied, A., Khorchani, T., and Vaccari, G.
Published: 2014
Full Text: View/download PDF

37. Il paradosso di una religione senza dio. Hans Kelsen antropologo della modernità

Author: Lombardi Vallauri, L, Fiorelli, P, Adinolfi, A, Amato, S, Amato Mangiameli, A C, Barberis, M, Bartoli, R, Becchi, P, Bellavista, M, Bernardini, P L, Bianchi, A, Borsellino, P, Cabiddu, M A, Caretti, P, Casavola, F P, Castignone, S, Castrucci, E, Chiassoni, P, Corbetta, S, Corongiu, S, Corsi, C, Cosi, G, Croce, M, D'Agostino, F, De Sanctis, F M, Di Cagno, V, Di Lucia, P, Passerini Glazel, L, Di Mario, A, Diciotti, E, Dilcher, G, Eusebi, L, Faralli, C, Faro, S, Lettieri, N, Fioravanti, M, Flora, G, Foddai, M A, Francavilla, D, Franchini, L, Franza, T, Gaja, G, Galvan, S, Di Florio, C, Gazzolo, T, Ghezzi, M L, Giachery, E, Giachi, C, Grisolia, M C, Guastini, R, Incampo, A, Irti, N, La Torre, M, Lombardi Vallauri, Edoardo, Lombardi Vallauri, Elena, Lombardi Vallauri, M, Lombardi Vallauri, S, Lucarelli, P, Luzzati, C, Mannozzi, G, Mannucci, A, Mantovani, F, Marini, R, Marotta, V, Mazzoni, C M, Meschiari, M, Migliorini, M, Montanari, B, Neumann, U, Onida, P P, Orrù, G, Palavera, R, Palazzani, L, Palazzo, F, Papa, M, Parenti, C, Pastore, B, Perfetti, L R, Rescigno, F, Righi, R, Rodotà, S, Roselli, O, Ruschi, F, Santalucia, B, Savarese, P, Scerbo, A, Scillitani, L, Siciliano, D, Simoni, A, Romoli, F, Stolfi, E, Taddei Elmi, G, Tallacchini, M, Tarantino, A, Trautteur, G, Troje, H E, Trujillo, I, Valastro, A, Vallini, A, Vettori, G, Villa, M L, Viola, F, Zaccaria, G, Zamperetti, G M, Zanotti, L, Luderssen, K, Lombardi Vallauri, L, Fiorelli, P, Adinolfi, A, Amato, S, Amato Mangiameli, A C, Barberis, M, Bartoli, R, Becchi, P, Bellavista, M, Bernardini, P L, Bianchi, A, Borsellino, P, Cabiddu, M A, Caretti, P, Casavola, F P, Castignone, S, Castrucci, E, Chiassoni, P, Corbetta, S, Corongiu, S, Corsi, C, Cosi, G, Croce, M, D'Agostino, F, De Sanctis, F M, Di Cagno, V, Di Lucia, P, Passerini Glazel, L, Di Mario, A, Diciotti, E, Dilcher, G, Eusebi, L, Faralli, C, Faro, S, Lettieri, N, Fioravanti, M, Flora, G, Foddai, M A, Francavilla, D, Franchini, L, Franza, T, Gaja, G, Galvan, S, Di Florio, C, Gazzolo, T, Ghezzi, M L, Giachery, E, Giachi, C, Grisolia, M C, Guastini, R, Incampo, A, Irti, N, La Torre, M, Lombardi Vallauri, Edoardo, Lombardi Vallauri, Elena, Lombardi Vallauri, M, Lombardi Vallauri, S, Lucarelli, P, Luzzati, C, Mannozzi, G, Mannucci, A, Mantovani, F, Marini, R, Marotta, V, Mazzoni, C M, Meschiari, M, Migliorini, M, Montanari, B, Neumann, U, Onida, P P, Orrù, G, Palavera, R, Palazzani, L, Palazzo, F, Papa, M, Parenti, C, Pastore, B, Perfetti, L R, Rescigno, F, Righi, R, Rodotà, S, Roselli, O, Ruschi, F, Santalucia, B, Savarese, P, Scerbo, A, Scillitani, L, Siciliano, D, Simoni, A, Romoli, F, Stolfi, E, Taddei Elmi, G, Tallacchini, M, Tarantino, A, Trautteur, G, Troje, H E, Trujillo, I, Valastro, A, Vallini, A, Vettori, G, Villa, M L, Viola, F, Zaccaria, G, Zamperetti, G M, Zanotti, L, and Luderssen, K
Abstract: In 2012 an unpublished book by the Austrian legal philosopher Hans Kelsen, Secular Religion, has been posthumously published. This book, written by Kelsen between 1952 and 1964 in the United States, severely criticizes those theories of politics and culture that misinterpret modern social philosophy, science and politics as new religions, mainly adopting the controversial concept of “secular religión.” In the first part of the paper, we reconstruct the genesis of the book and the complex events that led to its final version, and we underline the motives that led Kelsen to write this vehement polemic in defense of the spirit of modernity, and eventually to withdraw it. In the second part of the paper, we investigate some of the main methodological and theoretical contributions that this work, albeit its critical tenor, is able to give to an anthropology of modernity.
Published: 2016

38. Ottensite, brizziite e mopungite della miniera di Pereta (Toscana)

Author: Bittarello, Erica, CAMARA ARTIGAS, Fernando, Ciriotti, M. E., Marengo, Alessandra, Zaccaria, G., and Piva, G.
Published: 2014

39. Composite scalp replacement and negative pressure therapy for successful graft take and hair regrowth

Author: Baccarani, A., Pedone, A., Loschi, P., Zaccaria, G., Boscaini, G., Spinzo, G., Pompei, B., and Giorgio DE SANTIS
Subjects: Scalp, Replantation, Surgery, Negative-pressure wound therapy
Published: 2014

40. Derecho e interpretación. Elementos de teoría hermenéutica del derecho

Author: VIOLA, Francesco, ZACCARIA G., VIOLA F, and ZACCARIA G
Subjects: Legal Hermeneutics
Abstract: Il volume affronta le tematiche fondamentali della filosofia del diritto alla luce di una prospettiva ermeneutica e della ragion pratica.
Published: 2007

41. Ficoll‐hypaque separation vs whole blood lysis: Comparison of efficiency and impact on minimal residual disease analysis.

Author: Genuardi, E., Barbero, D., Dogliotti, I., Mantoan, B., Drandi, D., Gambella, M., Zaccaria, G. M., Monitillo, L., Della Starza, I., Cavalli, M., De Novi, L. A., Ciabatti, E., Grassi, S., Gazzola, A., Mannu, C., Del Giudice, I., Galimberti, S., Agostinelli, C., Piccaluga, P. P., and Ladetto, M.
Subjects: CARCINOGENESIS, ERYTHROCYTES, CENTRIFUGATION, STATISTICAL correlation, LEUCOCYTES, LYMPHOMAS, MULTIPLE myeloma, MONONUCLEAR leukocytes
Abstract: Abstract: Introduction: The high‐throughput era remarkably changed molecular laboratory practice. Actually, the increasing number of processed samples requires to reduce the risk of operator biases, by automating or simplifying as much as possible both the analytical and the pre‐analytical phases. Minimal residual disease (MRD) studies in hematology often require a simultaneous processing of many bone marrow and peripheral blood samples from patients enrolled in prospective, multicenter, clinical trials, monitored at several planned time points. Methods: In this study, we demonstrate that red blood cell lysis (RBL) pre‐analytical procedure can replace the time‐consuming Ficoll stratification as cell recovering step. Here, we show a MRD comparison study using both total white blood cells and mononuclear cells recovered by the 2 procedures from 46 follicular lymphoma (FL), 15 multiple myeloma (MM), and 11 mantle cell lymphoma (MCL) patients enrolled in prospective clinical trials. Results: The experiments were performed in the 4 laboratories of the Fondazione Italiana Linfomi (FIL) MRD Network and showed superimposable results, in terms of good correlation (R = 0.87) of the MRD data obtained by recovering blood cells by the 2 approaches. Conclusion: Based on these results, the FIL MRD Network suggests to optimize the pre‐analytical phases introducing RBL approach for cell recovery in the clinical trials including MRD analysis. [ABSTRACT FROM AUTHOR]
Published: 2018
Full Text: View/download PDF

42. Ricordo di Alfonso Catania

Author: Pastore, Baldassare, Viola, F., and Zaccaria, G.
Subjects: decisione, riconoscimento, Alfonso Catania, positivismo giuridico, norma, effettività
Published: 2012

43. 'Paraletteratura e letteratura di consumo' e 'La letteratura di consumo'

Author: Benussi, MARIA CRISTINA, Zaccaria, G., BORSELLINO N., PEDULLÀ W., Benussi, MARIA CRISTINA, and Zaccaria, G.
Published: 2000

44. Image-based automatic method to not invasively monitor the heart rhythm of zebrafish embryos

Author: Hadhoud, M., Luca, E., Zaccaria, G. M., Rizzo, G., Farag, A., Eladawy, M., Diana Massai, Ponzini, R., Montevecchi, F. M., Santoro, M., and Morbiducci, U.
Published: 2011

45. Riflessioni in tema di 'revisione' del danno

Author: Morini, O, Zaccaria, G, MORINI, OSVALDO, Zaccaria, G., Morini, O, Zaccaria, G, MORINI, OSVALDO, and Zaccaria, G.
Published: 1995

46. Introduzione

Author: Pastore, Baldassare and Zaccaria, G.
Subjects: Filosofia del diritto, Norberto Bobbio
Published: 2010

47. In ricordo di Franco Volpi

Author: Pastore, Baldassare, Viola, F., and Zaccaria, G.
Subjects: Franco Volpi, storia della filosofia, ermeneutica
Published: 2009

48. La Sindrome di Waterhouse-Friederichsen: aspetti anatomo-clinici e medico-legali

Author: Morini, O, Zaccaria, G, MORINI, OSVALDO, Zaccaria, G., Morini, O, Zaccaria, G, MORINI, OSVALDO, and Zaccaria, G.
Published: 1992

49. La soffocazione interna da materiale alimentare nel settorato medico-legale milanese (1975-1992): aggiornamento casistico e considerazioni fisiopatologiche

Author: Morini, O, Zaccaria, G, MORINI, OSVALDO, Zaccaria, G., Morini, O, Zaccaria, G, MORINI, OSVALDO, and Zaccaria, G.
Published: 1992

50. Presentazione

Author: Cacciari, M., Irti, N., Menghi, Carlo, Zaccaria, G., Ferrarese, M. R., Spada, P., Sartor, G., Degli Antoni, G., Galgano, F., Palombella, G., Marconi, P., Ferrara, A., Cubeddu, R., Azzoni, G., Chiodi, G. M., La Torre, M., De Sanctis, F., Baldassarre, A., Ferrari, V., Lombardi Vallauri, L., Maffettone, S., and Vari, M.
Published: 2008

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