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26 results on '"D. Gaetano"'

1. Multiscale failure analysis of fiber-reinforced composite structures via a hybrid cohesive/volumetric nonlinear homogenization strategy

Author

D. Gaetano

Abstract

In this work, a novel multiscale model for softening periodic microstructures is proposed, relying on a nonlinear homogenization method combined with a cohesive/volumetric finite element model. This strategy is able to overcome the mesh sensitivity issues usually experienced by purely volumetric homogenization techniques in presence of strain localization. As the main ingredient of the proposed approach, a microscopically informed traction-separation law for the embedded interfaces is extracted, starting from the homogenized bulk behavior obtained for a suitably chosen Repeating Unit Cell (RUC) subjected to different macro-strain paths. The present approach has been fully validated by performing several numerical simulations of the main damage phenomena experienced by fiber-reinforced composite structures, with special reference to transverse micro-cracking. Finally, to investigate the reliability and the accuracy of the proposed model, a comparison with direct simulations performed on fully meshed specimens has been presented, in terms of both load-displacement curves and associated crack patterns.

Published
2023

2. Fingerprint of PGI Mantova Cucumis melo by ICP-MS and Chemometric Analysis

Author

D. Gaetano Annamaria, Dugo Giacomo, R. Fede Maria, F. Mottese Antonio, Marcianò Giuseppe, Caridi Francesco, Sabatino Giuseppe, and Ravenda Pietro

Subjects
PCA, CA, Nutrition and Dietetics, Chromatography, biology, Chemistry, Food analysis, Public Health, Environmental and Occupational Health, Traceability, biology.organism_classification, CDA, ICP-MS, Traditional Agro-alimentary Production (TAP), Fingerprint, Inductively coupled plasma mass spectrometry, Cucumis, Food Science
Abstract

Background and Objectives: In this work, yellow and green varieties of Cucumis melo fruits belonging to different cultivars were studied. In detail, three Sicilian cultivars of winter melons tutelated by TAP (Traditional agro-alimentary products) labels were considered, whereas asun protected the Calabrian winter melon was studied too. With the aim to compare the selective uptakes of inorganic elements among winter and summer fruits, the “PGI Melone Mantovano” was investigated. The purpose of this work was to apply the obtained results i) to guarantee the quality and healthiness of fruits, ii) to producers defend, iii) to help the customers in safe food purchase. Method: All samples were analyzed by ICP-MS and the obtained results, subsequently, were subjected to Cluster analysis (CA), Principal component analysis (PCA) and Canonical discriminant analysis (CDA). Results: CA results were generally in agreement with samples origin, whereas the PCA elaboration has confirmed the presence of a strong relation between fruit origins and trace element contents. In particular, two principal components justified the 57.32% of the total variance (PC1= 40.95%, PC2= 16.37%). Finally, the CDA approach has provided several functions with high discrimination power, confirmed by the correct classification of all samples (100%). Conclusions: CA, PCA and CDA could represent an integrated to label to discriminate the origin of agri-food products and, thus, protect and guarantee their healthiness.

Published
2020

3. Comparison of Different Reactor Configurations for the Reduction of Free Acidity in Raw Materials for Biodiesel Production

Author

M. Guida, A. Garcia Agreda, M. Di Serio, Elio Santacesaria, F. Cammarota, Riccardo Tesser, D. Gaetano, Santacesaria, Elio, Tesser, Riccardo, DI SERIO, Martino, M., Guida, D., Gaetano, A., Garcia Agreda, and F., Cammarota

Subjects
food.ingredient, Chromatography, Atmospheric pressure, General Chemical Engineering, Batch reactor, technology, industry, and agriculture, General Chemistry, equipment and supplies, complex mixtures, Industrial and Manufacturing Engineering, Soybean oil, Catalysis, chemistry.chemical_compound, food, chemistry, Chemical engineering, Biodiesel production, Spray tower, Methanol, Plug flow reactor model
Abstract

Waste oils used in biodiesel production contain high concentrations of free fatty acids. We studied the esterification of oleic acid, dissolved in soybean oil, with methanol in order to simulate its behavior. We used sulfonic exchange acid resin as the catalyst in two different reactors: a well-stirred slurry reactor (WSSR) and a spray tower loop reactor (STLR) both working at atmospheric pressure. Methanol was fed continuously to both the reactors with very low feed rates in order to minimize the amount of methanol emerging from the reactor outlet. This methanol removed the water produced in the reaction thereby favoring esterification. The WSSR and STLR had very similar performance in that were both better than that of a plug flow reactor (PFR) working in the same conditions of atmospheric pressure and low methanol feed rate. Both the WSSR and STLR showed liquid-solid phase mass transfer limitations. All the kinetic runs have been interpreted with a mathematical model adopting the kinetics previously developed by the authors using a well-stirred batch reactor. For both the reactors, the feasibility of a pseudocontinuous operation has also been successfully tested.

Published
2007

4. Breast Cancer Detection Using Interferometric MUSIC: Experimental and Numerical Assessment

Author

G. Ruvio, A. Cuccaro, D. Gaetano, J. E. Brown, M. J. Ammann, SOLIMENE, Raffaele, G., Ruvio, Solimene, Raffaele, A., Cuccaro, D., Gaetano, J. E., Brown, and M. J., Ammann

Subjects
Biological and Chemical Physics, electromagnetic inverse scattering, Systems and Communications, microwave imaging, breast cancer detection, interferometric MUSIC, Biomedical Engineering and Bioengineering
Abstract

Purpose: In microwave breast cancer detection, it is often beneficial to arrange sensors in close proximity to the breast. The resultant coupling generally changes the antenna response. As an a priori characterization of the radio frequency system becomes difficult, this can lead to severe degradation of the detection efficacy. The purpose of this paper is to demonstrate the advantages of adopting an interferometric multiple signal classification (I-MUSIC) approach due to its limited dependence from a priori information on the antenna. The performance of I-MUSIC detection was measured in terms of signal-to-clutter ratio (SCR), signal-to-mean ratio (SMR), and spatial displacement (SD) and compared to other common linear noncoherent imaging methods, such as migration and the standard wideband MUSIC (WB-MUSIC) which also works when the antenna is not accounted for. Methods: The data were acquired by scanning a synthetic oil-in-gelatin phantom that mimics the dielectric properties of breast tissues across the spectrum 1–3 GHz using a proprietary breast microwave multi-monostatic radar system. The phantom is a multilayer structure that includes skin, adipose, fibroconnective, fibroglandular, and tumor tissue with an adipose component accounting for 60% of the whole structure. The detected tumor has a diameter of 5 mm and is inserted inside a fibroglandular region with a permittivity contrast εr-tumor/εr-fibroglandular < 1.5 over the operating band. Three datasets were recorded corresponding to three antennas with different coupling mechanisms. This was done to assess the independence of the I-MUSIC method from antenna characterizations. The datasets were processed by using I-MUSIC, noncoherent migration, and wideband MUSIC under equivalent conditions (i.e., operative bandwidth, frequency samples, and scanning positions). SCR, SMR, and SD figures were measured from all reconstructed images. In order to benchmark experimental results, numerical simulations of equivalent scenarios were carried out by using CST Microwave Studio. The three numerical datasets were then processed following the same procedure that was designed for the experimental case. Results: Detection results are presented for both experimental and numerical phantoms, and higher performance of the I-MUSIC method in comparison with the WB-MUSIC and noncoherent migration is achieved. This finding is confirmed for the three different antennas in this study. Although a delocalization effect occurs, experimental datasets show that the signal-to-clutter ratio and the signal-to-mean performance with the I-MUSIC are at least 5 and 2.3 times better than the other methods, respectively. The numerical datasets calculated on an equivalent phantom for cross-testing confirm the improved performance of the I-MUSIC in terms of SCR and SMR. In numerical simulations, the delocalization effect is dramatically reduced up to an SD value of 1.61 achieved with the I-MUSIC in combination with the antipodal Vivaldi antenna. This shows that mechanical uncertainties are the main reason for the delocalization effect in the measurements. Conclusions: Experimental results show that the I-MUSIC generates images with signal-to-clutter levels higher than 5.46 dB across all working conditions and it reaches 7.84 dB in combination with the antipodal Vivaldi antenna. Numerical simulations confirm this trend and due to ideal mechanical conditions return a signal-to-clutter level higher than 7.61 dB. The I-MUSIC largely outperforms the methods under comparison and is able to detect a 5-mm tumor with a permittivity contrast of 1.5.

Published
2014

7. Kinetics and Mass Transfer of Free Fatty Acids Esterification with Methanol in a Tubular Packed Bed Reactor: A Key Pretreatment in Biodiesel Production

Author

A. Garcia Agreda, M. Guida, M. Di Serio, Elio Santacesaria, Riccardo Tesser, D. Gaetano, Santacesaria, Elio, Tesser, Riccardo, DI SERIO, Martino, M., Guida, D., Gaetano, and A., GARCIA AGREDA

Subjects
Packed bed, Biodiesel, Chromatography, General Chemical Engineering, General Chemistry, Transesterification, Raw material, complex mixtures, Industrial and Manufacturing Engineering, Catalysis, Diesel fuel, chemistry.chemical_compound, chemistry, Chemical engineering, Biodiesel production, Methanol
Abstract

Biodiesel can be easily obtained starting from high-quality or refined vegetable oils and performing on these feedstocks a transesterification reaction usually promoted by alkaline catalysts in the homogeneous phase. In this production scheme the employment of low-quality or waste raw materials, as cheap as possible, must be carefully considered to strongly improve the economic competitiveness of this biofuel with respect to the petroleum-derived diesel. In the case of raw materials characterized by a high content of free fatty acids (FFAs), a preliminary esterification treatment with methanol or ethanol is necessary for the abatement of the FFA concentration below the threshold limit value of 0.5−1.0% by weight that is tolerable by the subsequent process step of alkaline transesterification. In the present work the esterification reaction in tubular packed bed reactors, operating under pressure and using a sulfonic acid resin as catalyst, has been extensively studied. As it is well-known, sulfonic exchan...

Published
2007

15. Synthesis of heat shock proteins in rat liver after ischemia and hyperthermia

Author

Lidia Bardella, Luisa Schiaffonati, Aldo Bernelli-Zazzera, and M D Gaetano Cairo

Subjects
Male, Hyperthermia, Programmed cell death, medicine.medical_specialty, Dextroamphetamine, Fever, Ischemia, In Vitro Techniques, Biology, Sulfur Radioisotopes, chemistry.chemical_compound, Methionine, Internal medicine, Polysome, Heat shock protein, medicine, Animals, RNA, Messenger, Heat-Shock Proteins, chemistry.chemical_classification, Hepatology, Rats, Inbred Strains, medicine.disease, In vitro, Rats, Amino acid, Endocrinology, Liver, chemistry, Biochemistry, Polyribosomes, RNA, Poly A
Abstract

Ischemia of rat liver is followed by recovery or cell death. Since heat shock proteins may be essential to cell survival under stress, we determined levels of heat shock proteins in liver after different periods of blood deprivation and correlated the results with cellular recovery. Cell-free synthesis by poly (A+)-mRNA and polysomes revealed 70 and 89 kd proteins which appear similar to proteins produced by the liver of rats with amphetamine-induced hyperthermia. The 70 and 89 kd proteins increased in the liver of rats which recovered from ischemia.

17. A century of trends in adult human height

Author

Bentham, James, Cesare, Mariachiara Di, Stevens, Gretchen A., Zhou, Bin, Bixby, Honor, Cowan, Melanie J., Fortunato, Lea, Bennett, James E., Danaei, Goodarz, Hajifathalian, Kaveh, Lu, Yuan, Riley, Leanne M., Laxmaiah, Avula, Kontis, Vasilis, Paciorek, Christopher J., Riboli, Elio, Ezzati, Majid, Abdeen, Ziad A., Hamid, Zargar Abdul, Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert, Aekplakorn, Wichai, Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmadvand, Alireza, Ahrens, Wolfgang, Al-Hazzaa, Hazzaa M., Al-Othman, Amani Rashed, Raddadi, Rajaa Al, Ali, Mohamed M., Alkerwi, Ala'a, Alvarez-Pedrerol, Mar, Aly, Eman, Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A., Anjana, Ranjit Mohan, Aounallah-Skhiri, Hajer, Ariansen, Inger, Aris, Tahir, Arlappa, Nimmathota, Arveiler, Dominique, Assah, Felix K., Avdicova, Maria, Azizi, Fereidoun, Babu, Bontha V., Bahijri, Suhad, Balakrishna, Nagalla, Bandosz, Piotr, Banegas, Jose R., Barbagallo, Carlo M., Barcelo, Alberto, Barkat, Amina, Barros, Mauro V., Bata, Iqbal, Batieha, Anwar M., Batista, Rosangela L., Baur, Louise A., Beaglehole, Robert, Romdhane, Habiba Ben, Benet, Mikhail, Bernabe-Ortiz, Antonio, Bernotine, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bhatti, Zaid, Bhutta, Zulfiqar A., Bi, HongSheng, Bi, Yufang, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Bjorkelund, Cecilia, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boeing, Heiner, Boissonnet, Carlos P., Bongard, Vanina, Bovet, Pascal, Braeckman, Lutgart, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Bruno, Graziella, Bueno-de-Mesquita, H. B., Bugge, Anna, Burns, C., Leon, Antonio Cabrera de, Cacciottolo, Joseph, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gunay, Candido, Ana Paula C., Capuano, Vincenzo, Cardoso, Viviane C., Carlsson, Axel C., Carvalho, Maria J., Casanueva, Felipe F., Casas, Juan-Pablo, Caserta, Carmelo A., Chamukuttan, Snehalatha, Chan, Angelique W., Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nishi, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Y. Z., Cheng, Ching-Yu, Chetrit, Angela, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Cho, Belong, Cho, Yumi, Christensen, Kaare, Chudek, Jerzy, Cifkova, Renata, Claessens, Frank, Clays, Els, Concin, Hans, Cooper, Cyrus, Cooper, Rachel, Coppinger, Tara C., Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crujeiras, Ana B., D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dauchet, Luc, Backer, Guy De, Bacquer, Dirk De, Gaetano, Giovanni de, Hanauw, Stefaan De, Smedt, Delphine De, Deepa, Mohan, Deev, Alexander D., Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Deschamps, Valerie, Dhana, Klodian, Castelnuovo, Augusto F. Di, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Djalalinia, Shirin, Do, Ha T. P., Dobson, Annette J., Donfrancesco, Chiara, Donoso, Silvana P., Doering, Angela, Doua, Kouamelan, Drygas, Wojciech, Dzerve, Vilnis, Egbagbe, Eruke E., Eggertsen, Robert, Ekelund, Ulf, Ati, Jalila El, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T., Erem, Cihangir, Eriksen, Louise, Pena, Jorge Escobedo-de la, Evans, Alun, Faeh, David, Fall, Caroline H., Farzadfar, Farshad, Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernandez-Berges, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrieres, Jean, Finn, Joseph D., Fischer, Krista, Monterrubio, Eric A., Foeger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Forsner, Maria, Fortmann, Stephen P., Francis, Heba M., Francis, Damian K., Franco, M. Do Carmo, Franco, Oscar H., Frontera, Guillermo, Fuchs, Flavio D., Fuchs, Sandra C., Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Geleijnse, Johanna M., Ghasemian, Anoosheh, Giampaoli, Simona, Gianfagna, Francesco, Giovannelli, Jonathan, Giwercman, Aleksander, Goldsmith, Rebecca A., Goncalves, Helen, Gross, Marcela Gonzalez, Rivas, Juan P. Gonzalez, Gorbea, Mariano Bonet, Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dusan, Grajda, Aneta, Grammatikopoulou, Maria G., Gregor, Ronald D., Grodzicki, Tomasz, Grontved, Anders, Gruden, Grabriella, Grujic, Vera, Gu, Dongfeng, Gualdi-Russo, Emanuela, Guan, Ong Peng, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L., Gulliford, Martin C., Gunnlaugsdottir, Johanna, Gunter, Marc, Guo, Xiu H., Guo, Yin, Gupta, Prakash C., Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Halkjaer, Jytte, Hambleton, Ian R., Hardy, Rebecca, Kumar, Rachakulla Hari, Hata, Jun, Hayes, Alison J., He, Jiang, Hendriks, Marleen Elisabeth, Cadena, Leticia Hernandez, Herrala, Sauli, Heshmat, Ramin, Hihtaniemi, Ilpo Tapani, Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Hofman, Albert, Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Hussieni, Abdullatif S., Huu, Chinh Nguyen, Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G., Ibrahim, Mohsen M., Ikeda, Nayu, Ikram, M. Arfan, Irazola, Vilma E., Islam, Muhammad, Ivkovic, Vanja, Iwasaki, Masanori, Jackson, Rod T., Jacobs, Jeremy M., Jafar, Tazeen, Jamil, Kazi M., Jamrozik, Konrad, Janszky, Imre, Jasienska, Grazyna, Jelakovic, Bojan, Jiang, Chao Qiang, Joffres, Michel, Johansson, Mattias, Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kalter-Leibovici, Ofra, Kapantais, Efthymios, Kasaeian, Amir, Katz, Joanne, Kaur, Prabhdeep, Kavousi, Maryam, Keil, Ulrich, Boker, Lital Keinan, Keinanen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kemper, Han C. G., Kengne, Andre Pascal, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khang, Young-Ho, Khaw, Kay-Tee H., Khouw, Ilse M. S. L., Kiechl, Stefan, Killewo, Japhet, Kim, Jeongseon, Klimont, Jeannette, Klumbiene, Jurate, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, Korrovits, Paul, Koskinen, Seppo, Kouda, Katsuyasu, Koziel, Slawomir, Kratzer, Wolfgang, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S., Kubinova, Ruzena, Kujala, Urho M., Kula, Krzysztof, Kulaga, Zbigniew, Kumar, R. Krishna, Kurjata, Pawel, Kusuma, Yadlapalli S., Kuulasmaa, Kari, Kyobutungi, Catherine, Laamiri, Fatima Zahra, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Laugsand, Lars E., Bao, Khanh Le Nguyen, Le, Tuyen D., Leclercq, Catherine, Lee, Jeannette, Lee, Jeonghee, Lehtimaki, Terho, Lekhraj, Rampal, Leon-Munoz, Luz M., Li, Yanping, Lilly, Christa L., Lim, Wei-Yen, Lima-Costa, M. Fernanda, Lin, Hsien-Ho, Lin, Xu, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Lorbeer, Roberto, Lotufo, Paulo A., Lozano, Jose Eugenio, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Ma, Guansheng, Ma, Jun, Machado-Coelho, George L. L., Machi, Suka, Maggi, Stefania, Magliano, Dianna J., Maire, Bernard, Makdisse, Marcia, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Malyutina, Sofia, Manios, Yannis, Mann, Jim I., Manzato, Enzo, Margozzini, Paula, Markey, Oonagh, Marques-Vidal, Pedro, Marrugat, Jaume, Martin-Prevel, Yves, Martorell, Reynaldo, Masoodi, Shariq R., Mathiesen, Ellisiv B., Matsha, Tandi E., Mazur, Artur, Mbanya, Jean Claude N., McFarlane, Shelly R., McGarvey, Stephen T., McKee, Martin, McLachlan, Stela, McLean, Rachael M., McNulty, Breige A., Yusof, Safiah Md, Mediene-Benchekor, Sounnia, Meirhaeghe, Aline, Meisinger, Christa, Menezes, Ana Maria B., Mensink, Gert B. M., Meshram, Indrapal I., Metspalu, Andres, Mi, Jie, Michaelsen, Kim F., Mikkel, Kairit, Miller, Jody C., Miquel, Juan Francisco, Miranda, J. Jaime, Misigoj-Durakovic, Marjeta, Mohamed, Mostafa K., Mohammad, Kazem, Mohammadifard, Noushin, Mohan, Viswanathan, Yusoff, Muhammad Fadhli Mohd, Molbo, Drude, Moller, Niels C., Molnar, Denes, Mondo, Charles K., Monyeki, Kotsedi Daniel K., Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Mortensen, Erik Lykke, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Mu, Thet Thet, Muiesan, Maria Lorenza, Mueller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Murtagh, Elaine M., Musa, Kamarul Imran, Musil, Vera, Nagel, Gabriele, Nakamura, Harunobu, Namesna, Jana, Nang, E. E. K., Nangia, Vinay B., Nankap, Martin, Narake, Sameer, Navarrete-Munoz, Eva Maria, Neal, William A., Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Neuhauser, Hannelore K., Nguyen, Nguyen D., Nguyen, Quang Ngoc, Nieto-Martinez, Ramfis E., Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Norat, Teresa, Noto, Davide, Nsour, Mohannad Al, O'Reilly, Dermot, Oh, Kyungwon, Olayan, Iman H., Olinto, Maria Teresa Anselmo, Oltarzewski, Maciej, Omar, Mohd A., Onat, Altan, Ordunez, Pedro, Ortiz, Ana P., Osler, Merete, Osmond, Clive, Ostojic, Sergej M., Otero, Johanna A., Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, Pajak, Andrzej, Palli, Domenico, Palloni, Alberto, Palmieri, Luigi, Panda-Jonas, Songhomitra, Panza, Francesco, Parnell, Winsome R., Parsaeian, Mahboubeh, Pecin, Ivan, Pednekar, Mangesh S., Peeters, Petra H., Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C., Perez, Cynthia M., Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Pham, Son Thai, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Plans-Rubio, Pedro, Poh, Bee Koon, Porta, Miquel, Portegies, Marileen L. P., Poulimeneas, Dimitrios, Pradeepa, Rajendra, Prashant, Mathur, Price, Jacqueline F., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Bao, Tran Quoc, Radic, Ivana, Radisauskas, Ricardas, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramke, Jacqueline, Ramos, Rafel, Rampal, Sanjay, Rasmussen, Finn, Redon, Josep, Reganit, Paul Ferdinand M., Ribeiro, Robespierre, Rigo, Fernando, Wit, Tobias Floris Rinke de, Ritti-Dias, Raphael M., Rivera, Juan A., Robinson, Sian M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, Rodriguez-Perez, Maria del Cristo, Rodriguez-Villamizar, Laura A., Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Ronkainen, Kimmo, Rosengren, Annika, Rouse, Ian, Rubinstein, Adolfo, Ruhli, Frank J., Rui, Ornelas, Ruiz-Betancourt, Blanca Sandra, Horimoto, Andrea R. V. Russo, Rutkowski, Marcin, Sabanayagam, Charumathi, Sachdev, Harshpal S., Saidi, Olfa, Salanave, Benoit, Martinez, Eduardo Salazar, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Sanchez-Abanto, Jose, Sandjaja, Sans, Susana, Santos, Diana A., Santos, Osvaldo, Santos, Renata Nunes dos, Santos, Rute, Saramies, Jouko L., Sardinha, Luis B., Sarrafzadegan, Nizal, Saum, Kai-Uwe, Savva, Savvas C., Scazufca, Marcia, Rosario, Angelika Schaffrath, Schargrodsky, Herman, Schienkiewitz, Anja, Schmidt, Ida Maria, Schneider, Ione J., Schultsz, Constance, Schutte, Aletta E., Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Shalnova, Svetlana A., Sharma, Sanjib K., Shaw, Jonathan E., Shibuya, Kenji, Shin, Dong Wook, Shin, Youchan, Shiri, Rahman, Siantar, Rosalynn, Sibai, Abla M., Silva, Antonio M., Silva, Diego Augusto Santos, Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, Smith, Margaret C., Snijder, Marieke B., So, Hung-Kwan, Sobngwi, Eugene, Soderberg, Stefan, Soekatri, Moesijanti Y. E., Solfrizzi, Vincenzo, Sonestedt, Emily, Song, Yi, Sorensen, Thorkild I. A., Soric, Maroje, Jerome, Charles Sossa, Soumare, Aicha, Staessen, Jan A., Starc, Gregor, Stathopoulou, Maria G., Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stieber, Jutta, Stoeckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sun, C. A., Sundstroem, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Swinburn, Boyd A., Sy, Rody G., Szponar, Lucjan, Tai, E. Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tang, Line, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B., Taylor, Anne, Tchibindat, Felicite, Theobald, Holger, Thijs, Lutgarde, Thuesen, Betina H., Tjonneland, Anne, Tolonen, Hanna K., Tolstrup, Janne S., Topbas, Murat, Topor-Madry, Roman, Torrent, Maties, Toselli, Stefania, Traissac, Pierre, Trichopoulou, Antonia, Trichopoulos, Dimitrios, Trinh, Oanh T. H., Trivedi, Atul, Tshepo, Lechaba, Tulloch-Reid, Marshall K., Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L., Tynelius, Per, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ukoli, Flora A. M., Ulmer, Hanno, Unal, Belgin, Uusitalo, Hannu M. T., Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, Schouw, Yvonne T. van der, Herck, Koen Van, Minh, Hoang Van, Rossem, Lenie van, Valkengoed, Irene G. M. van, Vanderschueren, Dirk, Vanuzzo, Diego, Vatten, Lars, Vega, Tomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W. M. Monique, Verstraeten, Roosmarijn, Victora, Cesar G., Viegi, Giovanni, Viet, Lucie, Viikari-Juntura, Eira, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vollenweider, Peter, Voutilainen, Sari, Vrdoljak, Ana, Vrijheid, Martine, Wade, Alisha N., Wagner, Aline, Walton, Janette, Mohamud, Wan Nazaimoon Wan, Wang, Ming-Dong, Wang, Qian, Wang, Ya Xing, Wannamethee, S. Goya, Wareham, Nicholas, Weerasekera, Deepa, Whincup, Peter H., Widhalm, Kurt, Widyahening, Indah S., Wiecek, Andrzej, Wijga, Alet H., Wilks, Rainford J., Willeit, Johann, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C., Wu, Jianfeng, Wu, Shou Ling, Xu, Haiquan, Xu, Liang, Yamborisut, Uruwan, Yan, Weili, Yang, Xiaoguang, Yardim, Nazan, Ye, Xingwang, Yiallouros, Panayiotis K., Yoshihara, Akihiro, You, Qi Sheng, Younger-Coleman, Novie O., Yusoff, Ahmad F., Zainuddin, Ahmad A., Zambon, Sabina, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Dan, Zimmermann, Esther, Cisneros, Julio Zuniga, NCD Risk Factor Collaboration (NCD-RisC), Yiallouros, Panayiotis K. [0000-0002-8339-9285], Public and occupational health, ACS - Atherosclerosis & ischemic syndromes, APH - Personalized Medicine, APH - Global Health, General Internal Medicine, Amsterdam institute for Infection and Immunity, Global Health, AII - Infectious diseases, APH - Health Behaviors & Chronic Diseases, Amsterdam Public Health, APH - Methodology, ACS - Heart failure & arrhythmias, ACS - Diabetes & metabolism, AII - Amsterdam institute for Infection and Immunity, APH - Amsterdam Public Health, Padez, Cristina, NCD Risk Factor Collaboration (NCD-RisC), Bentham, J., Cesare, M.D., Stevens, G.A., Zhou, B., Bixby, H., Cowan, M., Fortunato, L., Bennett, J.E., Danaei, G., Hajifathalian, K., Lu, Y., Riley, L.M., Laxmaiah, A., Kontis, V., Paciorek, C.J., Riboli, E., Ezzati, M., Abdeen, Z.A., Hamid, Z.A., Abu-Rmeileh, N.M., Acosta-Cazares, B., Adams, R., Aekplakorn, W., Aguilar-Salinas, C.A., Agyemang, C., Ahmadvand, A., Ahrens, W., Al-Hazzaa, H.M., Al-Othman, A.R., Raddadi, R.A., Ali, M.M., Alkerwi, A., Alvarez-Pedrerol, M., Aly, E., Amouyel, P., Amuzu, A., Andersen, L.B., Anderssen, S.A., Anjana, R.M., Aounallah-Skhiri, H., Ariansen, I., Aris, T., Arlappa, N., Arveiler, D., Assah, F.K., Avdicová, M., Azizi, F., Babu, B.V., Bahijri, S., Balakrishna, N., Bandosz, P., Banegas, J.R., Barbagallo, C.M., Barceló, A., Barkat, A., Barros, M.V., Bata, I., Batieha, A.M., Batista, R.L., Baur, L.A., Beaglehole, R., Romdhane, H.B., Benet, M., Bernabe-Ortiz, A., Bernotiene, G., Bettiol, H., Bhagyalaxmi, A., Bharadwaj, S., Bhargava, S.K., Bhatti, Z., Bhutta, Z.A., Bi, H., Bi, Y., Bjerregaard, P., Bjertness, E., Bjertness, M.B., Björkelund, C., Blokstra, A., Bo, S., Bobak, M., Boddy, L.M., Boehm, B.O., Boeing, H., Boissonnet, C.P., Bongard, V., Bovet, P., Braeckman, L., Bragt, M.C., Brajkovich, I., Branca, F., Breckenkamp, J., Brenner, H., Brewster, L.M., Brian, G.R., Bruno, G., Bueno-de-Mesquita, H.A., Bugge, A., Burns, C., León, A.C., Cacciottolo, J., Cama, T., Cameron, C., Camolas, J., Can, G., Cândido, A.P., Capuano, V., Cardoso, V.C., Carlsson, A.C., Carvalho, M.J., Casanueva, F.F., Casas, J.P., Caserta, C.A., Chamukuttan, S., Chan, A.W., Chan, Q., Chaturvedi, H.K., Chaturvedi, N., Chen, C.J., Chen, F., Chen, H., Chen, S., Chen, Z., Cheng, C.Y., Chetrit, A., Chiolero, A., Chiou, S.T., Chirita-Emandi, A., Cho, B., Cho, Y., Christensen, K., Chudek, J., Cifkova, R., Claessens, F., Clays, E., Concin, H., Cooper, C., Cooper, R., Coppinger, T.C., Costanzo, S., Cottel, D., Cowell, C., Craig, C.L., Crujeiras, A.B., D'Arrigo, G., d'Orsi, E., Dallongeville, J., Damasceno, A., Damsgaard, C.T., Dankner, R., Dauchet, L., Backer, G.D., Bacquer, D.D., Gaetano, Gd, Henauw, S.D., Smedt, D.D., Deepa, M., Deev, A.D., Dehghan, A., Delisle, H., Delpeuch, F., Deschamps, V., Dhana, K., Castelnuovo, A.F., Dias-da-Costa, J.S., Diaz, A., Djalalinia, S., Do, H.T., Dobson, A.J., Donfrancesco, C., Donoso, S.P., Döring, A., Doua, K., Drygas, W., Dzerve, V., Egbagbe, E., Eggertsen, R., Ekelund, U., Ati, J.E., Elliott, P., Engle-Stone, R., Erasmus, R.T., Erem, C., Eriksen, L., Peña, J.E., Evans, A., Faeh, D., Fall, C.H., Farzadfar, F., Felix-Redondo, F.J., Ferguson, T.S., Fernández-Bergés, D., Ferrante, D., Ferrari, M., Ferreccio, C., Ferrieres, J., Finn, J.D., Fischer, K., Flores, E.M., Föger, B., Foo, L.H., Forslund, A.S., Forsner, M., Fortmann, S.P., Fouad, H.M., Francis, D.K., Franco, M.do C., Franco, O.H., Frontera, G., Fuchs, F.D., Fuchs, S.C., Fujita, Y., Furusawa, T., Gaciong, Z., Gafencu, M., Gareta, D., Garnett, S.P., Gaspoz, J.M., Gasull, M., Gates, L., Geleijnse, J.M., Ghasemian, A., Giampaoli, S., Gianfagna, F., Giovannelli, J., Giwercman, A., Goldsmith, R.A., Gonçalves, H., Gross, M.G., Rivas, J.P., Gorbea, M.B., Gottrand, F., Graff-Iversen, S., Grafnetter, D., Grajda, A., Grammatikopoulou, M.G., Gregor, R.D., Grodzicki, T., Grøntved, A., Gruden, G., Grujic, V., Gu, D., Gualdi-Russo, E., Guan, O.P., Gudnason, V., Guerrero, R., Guessous, I., Guimaraes, A.L., Gulliford, M.C., Gunnlaugsdottir, J., Gunter, M., Guo, X., Guo, Y., Gupta, P.C., Gureje, O., Gurzkowska, B., Gutierrez, L., Gutzwiller, F., Halkjær, J., Hambleton, I.R., Hardy, R., Kumar, R.H., Hata, J., Hayes, A.J., He, J., Hendriks, M.E., Cadena, L.H., Herrala, S., Heshmat, R., Hihtaniemi, I.T., Ho, S.Y., Ho, S.C., Hobbs, M., Hofman, A., Hormiga, C.M., Horta, B.L., Houti, L., Howitt, C., Htay, T.T., Htet, A.S., Htike, M.M., Hu, Y., Husseini, A., Huu, C.N., Huybrechts, I., Hwalla, N., Iacoviello, L., Iannone, A.G., Ibrahim, M.M., Ikeda, N., Ikram, M.A., Irazola, V.E., Islam, M., Ivkovic, V., Iwasaki, M., Jackson, R.T., Jacobs, J.M., Jafar, T., Jamil, K.M., Jamrozik, K., Janszky, I., Jasienska, G., Jelakovic, B., Jiang, C.Q., Joffres, M., Johansson, M., Jonas, J.B., Jørgensen, T., Joshi, P., Juolevi, A., Jurak, G., Jureša, V., Kaaks, R., Kafatos, A., Kalter-Leibovici, O., Kapantais, E., Kasaeian, A., Katz, J., Kaur, P., Kavousi, M., Keil, U., Boker, L.K., Keinänen-Kiukaanniemi, S., Kelishadi, R., Kemper, H.C., Kengne, A.P., Kersting, M., Key, T., Khader, Y.S., Khalili, D., Khang, Y.H., Khaw, K.T., Khouw, I.M., Kiechl, S., Killewo, J., Kim, J., Klimont, J., Klumbiene, J., Koirala, B., Kolle, E., Kolsteren, P., Korrovits, P., Koskinen, S., Kouda, K., Koziel, S., Kratzer, W., Krokstad, S., Kromhout, D., Kruger, H.S., Kubinova, R., Kujala, U.M., Kula, K., Kulaga, Z., Kumar, R.K., Kurjata, P., Kusuma, Y.S., Kuulasmaa, K., Kyobutungi, C., Laamiri, F.Z., Laatikainen, T., Lachat, C., Laid, Y., Lam, T.H., Landrove, O., Lanska, V., Lappas, G., Larijani, B., Laugsand, L.E., Bao, K.le N., Le, T.D., Leclercq, C., Lee, J., Lehtimäki, T., Lekhraj, R., León-Muñoz, L.M., Li, Y., Lilly, C.L., Lim, W.Y., Lima-Costa, M.F., Lin, H.H., Lin, X., Linneberg, A., Lissner, L., Litwin, M., Liu, J., Lorbeer, R., Lotufo, P.A., Lozano, J.E., Luksiene, D., Lundqvist, A., Lunet, N., Lytsy, P., Ma, G., Ma, J., Machado-Coelho, G.L., Machi, S., Maggi, S., Ano, D.J., Maire, B., Makdisse, M., Malekzadeh, R., Malhotra, R., Rao, K.M., Malyutina, S., Manios, Y., Mann, J.I., Manzato, E., Margozzini, P., Markey, O., Marques-Vidal, P., Marrugat, J., Martin-Prevel, Y., Martorell, R., Masoodi, S.R., Mathiesen, E.B., Matsha, T.E., Mazur, A., Mbanya, J.C., McFarlane, S.R., McGarvey, S.T., McKee, M., McLachlan, S., McLean, R.M., McNulty, B.A., Yusof, S.M., Mediene-Benchekor, S., Meirhaeghe, A., Meisinger, C., Menezes, A.M., Mensink, G.B., Meshram, I.I., Metspalu, A., Mi, J., Michaelsen, K.F., Mikkel, K., Miller, J.C., Miquel, J.F., Miranda, J.J., Mišigoj-Durakovic, M., Mohamed, M.K., Mohammad, K., Mohammadifard, N., Mohan, V., Yusoff, M.F., Molbo, D., Møller, N.C., Molnár, D., Mondo, C.K., Monterrubio, E.A., Monyeki, K.D., Moreira, L.B., Morejon, A., Moreno, L.A., Morgan, K., Mortensen, E.L., Moschonis, G., Mossakowska, M., Mostafa, A., Mota, J., Motlagh, M.E., Motta, J., Mu, T.T., Muiesan, M.L., Müller-Nurasyid, M., Murphy, N., Mursu, J., Murtagh, E.M., Musa, K.I., Musil, V., Nagel, G., Nakamura, H., Jana, N., Nang, E.E., Nangia, V.B., Nankap, M., Narake, S., Navarrete Muñoz, E.M., Neal, W.A., Nenko, I., Neovius, M., Nervi, F., Neuhauser, H.K., Nguyen, N.D., Nguyen, Q.N., Nieto Martínez, R.E., Ning, G., Ninomiya, T., Nishtar, S., Noale, M., Norat, T., Noto, D., Nsour, M.A., O'Reilly, D., Oh, K., Olayan, I.H., Olinto, M.T., Oltarzewski, M., Omar, M.A., Onat, A., Ordunez, P., Ortiz, A.P., Osler, M., Osmond, C., Ostojic, S.M., Otero, J.A., Overvad, K., Owusu-Dabo, E., Paccaud, F.M., Padez, C., Pahomova, E., Pajak, A., Palli, D., Palloni, A., Palmieri, L., Panda-Jonas, S., Panza, F., Parnell, W.R., Parsaeian, M., Pecin, I., Pednekar, M.S., Peeters, P.H., Peixoto, S.V., Peltonen, M., Pereira, A.C., Pérez, C.M., Peters, A., Petkeviciene, J., Peykari, N., Pham, S.T., Pigeot, I., Pikhart, H., Pilav, A., Pilotto, L., Pistelli, F., Pitakaka, F., Piwonska, A., Plans-Rubió, P., Poh, B.K., Porta, M., Portegies, M.L., Poulimeneas, D., Pradeepa, R., Prashant, M., Price, J.F., Puiu, M., Tartu, M.P., Qasrawi, R.F., Qorbani, M., Bao, T.Q., Radic, I., Radisauskas, R., Rahman, M., Raitakari, O., Raj, M., Rao, S.R., Ramachandran, A., Ramke, J., Ramos, R., Rampal, S., Rasmussen, F., Redon, J., Reganit, P.F., Ribeiro, R., Rigo, F., Wit, T.F., Ritti-Dias, R.M., Rivera, J.A., Robinson, S.M., Robitaille, C., Rodríguez-Artalejo, F., Rodriguez-Perez, M.del C., Rodríguez-Villamizar, L.A., Rojas-Martinez, R., Rojroongwasinkul, N., Romaguera, D., Ronkainen, K., Rosengren, A., Rouse, I., Rubinstein, A., Rühli, F.J., Rui, O., Ruiz-Betancourt, B.S., Horimoto, A.R., Rutkowski, M., Sabanayagam, C., Sachdev, H.S., Saidi, O., Salanave, B., Sandjaja, S., Martinez, E.S., Salomaa, V., Salonen, J.T., Salvetti, M., Sánchez-Abanto, J., Sans, S., Santos, D.A., Santos, O., Santos, R.N., Santos, R., Saramies, J.L., Sardinha, L.B., Sarrafzadegan, N., Saum, K.U., Savva, S.C., Scazufca, M., Rosario, A.S., Schargrodsky, H., Schienkiewitz, A., Schmidt, I.M., Schneider, I.J., Schultsz, C., Schutte, A.E., Sein, A.A., Sen, A., Senbanjo, I.O., Sepanlou, S.G., Shalnova, S.A., Sharma, S.K., Shaw, J.E., Shibuya, K., Shin, D.W., Shin, Y., Shiri, R., Siantar, R., Sibai, A.M., Silva, A.M., Silva, D.A., Simon, M., Simons, J., Simons, L.A., Sjostrom, M., Slowikowska-Hilczer, J., Slusarczyk, P., Smeeth, L., Smith, M.C., Snijder, M.B., So, H.K., Sobngwi, E., Söderberg, S., Soekatri, M.Y., Solfrizzi, V., Sonestedt, E., Song, Y., Sørensen, T.Ia., Soric, M., Jérome, C.S., Soumare, A., Staessen, J.A., Starc, G., Stathopoulou, M.G., Staub, K., Stavreski, B., Steene-Johannessen, J., Stehle, P., Stein, A.D., Stergiou, G.S., Stieber, J., Stöckl, D., Stocks, T., Stokwiszewski, J., Stratton, G., Stronks, K., Strufaldi, M.W., Sun, C.A., Sundström, J., Sung, Y.T., Sunyer, J., Suriyawongpaisal, P., Swinburn, B.A., Sy, R.G., Szponar, L., Tai, E.S., Tammesoo, M.L., Tamosiunas, A., Tang, L., Tang, X., Tanser, F., Tao, Y., Tarawneh, M.R., Tarp, J., Tarqui-Mamani, C.B., Taylor, A., Tchibindat, F., Theobald, H., Thijs, L., Thuesen, B.H., Tjonneland, A., Tolonen, H.K., Tolstrup, J.S., Topbas, M., Topór-Madry, R., Torrent, M., Toselli, S., Traissac, P., Trichopoulou, A., Trichopoulos, D., Trinh, O.T., Trivedi, A., Tshepo, L., Tulloch-Reid, M.K., Tuomainen, T.P., Tuomilehto, J., Turley, M.L., Tynelius, P., Tzotzas, T., Tzourio, C., Ueda, P., Ukoli, F.A., Ulmer, H., Unal, B., Uusitalo, H.M., Valdivia, G., Vale, S., Valvi, D., Schouw, Y.T., Herck, K.V., Minh, H.V., Rossem, Lv, Valkengoed, I.G., Vanderschueren, D., Vanuzzo, D., Vatten, L., Vega, T., Velasquez-Melendez, G., Veronesi, G., Verschuren, W.M., Verstraeten, R., Victora, C.G., Viegi, G., Viet, L., Viikari-Juntura, E., Vineis, P., Vioque, J., Virtanen, J.K., Visvikis-Siest, S., Viswanathan, B., Vollenweider, P., Voutilainen, S., Vrdoljak, A., Vrijheid, M., Wade, A.N., Wagner, A., Walton, J., Mohamud, W.N., Wang, M.D., Wang, Q., Wang, Y.X., Wannamethee, S.G., Wareham, N., Weerasekera, D., Whincup, P.H., Widhalm, K., Widyahening, I.S., Wiecek, A., Wijga, A.H., Wilks, R.J., Willeit, J., Wilsgaard, T., Wojtyniak, B., Wong, J.E., Wong, T.Y., Woo, J., Woodward, M., Wu, F.C., Wu, J., Wu, S.L., Xu, H., Xu, L., Yamborisut, U., Yan, W., Yang, X., Yardim, N., Ye, X., Yiallouros, P.K., Yoshihara, A., You, Q.S., Younger-Coleman, N.O., Yusoff, A.F., Zainuddin, A.A., Zambon, S., Zdrojewski, T., Zeng, Y., Zhao, D., Zhao, W., Zheng, Y., Zhou, M., Zhu, D., Zimmermann, E., Cisneros, J.Z., Stefania Toselli, Erasmus MC other, Epidemiology, Medical Oncology, Public Health, Cardiology, Repositório da Universidade de Lisboa, School of Medicine / Public Health, School of Medicine / Clinical Nutrition, Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Bentham J, Di Cesare M, Stevens GA, Zhou B, Bixby H, Cowan M, Fortunato L, Bennett JE, Danaei G, Hajifathalian K, Lu Y, Riley LM, Laxmaiah A, Kontis V, Paciorek CJ, Riboli E, Ezzati M, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Adams R, Aekplakorn W, Aguilar-Salinas CA, Agyemang C, Ahmadvand A, Ahrens W, Al-Hazzaa HM, Al-Othman AR, Raddadi RA, Ali MM, Alkerwi A, Alvarez-Pedrerol M, Aly E, Amouyel P, Amuzu A, Andersen LB, Anderssen SA, Anjana RM, Aounallah-Skhiri H, Ariansen I, Aris T, Arlappa N, Arveiler D, Assah FK, Avdicová M, Azizi F, Babu BV, Bahijri S, Balakrishna N, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Barros MV, Bata I, Batieha AM, Batista RL, Baur LA, Beaglehole R, Romdhane HB, Benet M, Bennett JE, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bhatti Z, Bhutta ZA, Bi H, Bi Y, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boissonnet CP, Bongard V, Bovet P, Braeckman L, Bragt MC, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Brian GR, Bruno G, Bueno-de-Mesquita HA, Bugge A, Burns C, León AC, Cacciottolo J, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Capuano V, Cardoso VC, Carlsson AC, Carvalho MJ, Casanueva FF, Casas JP, Caserta CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Chetrit A, Chiolero A, Chiou ST, Chirita-Emandi A, Cho B, Cho Y, Christensen K, Chudek J, Cifkova R, Claessens F, Clays E, Concin H, Cooper C, Cooper R, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crujeiras AB, D'Arrigo G, d'Orsi E, Dallongeville J, Damasceno A, Damsgaard CT, Danaei G, Dankner R, Dauchet L, Backer G, Bacquer D, Gaetano G, Henauw S, Smedt D, Deepa M, Deev AD, Dehghan A, Delisle H, Delpeuch F, Deschamps V, Dhana K, Castelnuovo AFD, Dias-da-Costa JS, Diaz A, Djalalinia S, Do HT, Dobson AJ, Donfrancesco C, Donoso SP, Döring A, Doua K, Drygas W, Dzerve V, Egbagbe E, Eggertsen R, Ekelund U, Ati JE, Elliott P, Engle-Stone R, Erasmus RT, Erem C, Eriksen L, Peña JE, Evans A, Faeh D, Fall CH, Farzadfar F, Felix-Redondo FJ, Ferguson TS, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Finn JD, Fischer K, Flores EM, Föger B, Foo LH, Forslund AS, Forsner M, Fortmann SP, Fouad HM, Francis DK, Franco MDC, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Gafencu M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gates L, Geleijnse JM, Ghasemian A, Giampaoli S, Gianfagna F, Giovannelli J, Giwercman A, Goldsmith RA, Gonçalves H, Gross MG, Rivas JPG, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Gruden G, Grujic V, Gu D, Gualdi-Russo E, Guan OP, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Guo X, Guo Y, Gupta PC, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Halkjær J, Hambleton IR, Hardy R, Kumar RH, Hata J, Hayes AJ, He J, Hendriks ME, Cadena LH, Herrala S, Heshmat R, Hihtaniemi IT, Ho SY, Ho SC, Hobbs M, Hofman A, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Husseini A, Huu CN, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Ikeda N, Ikram MA, Irazola VE, Islam M, Ivkovic V, Iwasaki M, Jackson RT, Jacobs JM, Jafar T, Jamil KM, Jamrozik K, Janszky I, Jasienska G, Jelakovic B, Jiang CQ, Joffres M, Johansson M, Jonas JB, Jørgensen T, Joshi P, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kalter-Leibovici O, Kapantais E, Kasaeian A, Katz J, Kaur P, Kavousi M, Keil U, Boker LK, Keinänen-Kiukaanniemi S, Kelishadi R, Kemper HC, Kengne AP, Kersting M, Key T, Khader YS, Khalili D, Khang YH, Khaw KH, Khouw IM, Kiechl S, Killewo J, Kim J, Klimont J, Klumbiene J, Koirala B, Kolle E, Kolsteren P, Korrovits P, Koskinen S, Kouda K, Koziel S, Kratzer W, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kujala UM, Kula K, Kulaga Z, Kumar RK, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Laugsand LE, Laxmaiah A, Bao KLN, Le TD, Leclercq C, Lee J, Lee J, Lehtimäki T, Lekhraj R, León-Muñoz LM, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Linneberg A, Lissner L, Litwin M, Liu J, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lunet N, Lytsy P, Ma G, Ma J, Machado-Coelho GL, Machi S, Maggi S, Ano DJ, Maire B, Makdisse M, Malekzadeh R, Malhotra R, Rao KM, Malyutina S, Manios Y, Mann JI, Manzato E, Margozzini P, Markey O, Marques-Vidal P, Marrugat J, Martin-Prevel Y, Martorell R, Masoodi SR, Mathiesen EB, Matsha TE, Mazur A, Mbanya JCN, McFarlane SR, McGarvey ST, McKee M, McLachlan S, McLean RM, McNulty BA, Yusof SM, Mediene-Benchekor S, Meirhaeghe A, Meisinger C, Menezes AMB, Mensink GB, Meshram II, Metspalu A, Mi J, Michaelsen KF, Mikkel K, Miller JC, Miquel JF, Miranda JJ, Mišigoj-Durakovic M, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Yusoff MFM, Molbo D, Møller NC, Molnár D, Mondo CK, Monterrubio EA, Monyeki KDK, Moreira LB, Morejon A, Moreno LA, Morgan K, Mortensen EL, Moschonis G, Mossakowska M, Mostafa A, Mota J, Motlagh ME, Motta J, Mu TT, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musa KI, Musil V, Nagel G, Nakamura H, Jana N, Nang EEK, Nangia VB, Nankap M, Narake S, Navarrete Muñoz EM, Neal WA, Nenko I, Neovius M, Nervi F, Neuhauser HK, Nguyen ND, Nguyen QN, Nieto Martínez RE, Ning G, Ninomiya T, Nishtar S, Noale M, Norat T, Noto D, Nsour MA, O'Reilly D, Oh K, Olayan IH, Olinto MTA, Oltarzewski M, Omar MA, Onat A, Ordunez P, Ortiz AP, Osler M, Osmond C, Ostojic SM, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Pajak A, Palli D, Palloni A, Palmieri L, Panda-Jonas S, Panza F, Parnell WR, Parsaeian M, Pecin I, Pednekar MS, Peeters PH, Peixoto SV, Peltonen M, Pereira AC, Pérez CM, Peters A, Petkeviciene J, Peykari N, Pham ST, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Plans-Rubió P, Poh BK, Porta M, Portegies ML, Poulimeneas D, Pradeepa R, Prashant M, Price JF, Puiu M, Tartu MP, Qasrawi RF, Qorbani M, Bao TQ, Radic I, Radisauskas R, Rahman M, Raitakari O, Raj M, Rao SR, Ramachandran A, Ramke J, Ramos R, Rampal S, Rasmussen F, Redon J, Reganit PFM, Ribeiro R, Riboli E, Rigo F, Wit TFR, Ritti-Dias RM, Rivera JA, Robinson SM, Robitaille C, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Ronkainen K, Rosengren A, Rouse I, Rubinstein A, Rühli FJ, Rui O, Ruiz-Betancourt BS, Horimoto ARR, Rutkowski M, Sabanayagam C, Sachdev HS, Saidi O, Salanave B, Martinez ES, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja, Sans S, Santos DA, Santos O, Santos RND, Santos R, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva SC, Scazufca M, Rosario AS, Schargrodsky H, Schienkiewitz A, Schmidt IM, Schneider IJ, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Shalnova SA, Sharma SK, Shaw JE, Shibuya K, Shin DW, Shin Y, Shiri R, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Sjostrom M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So HK, Sobngwi E, Söderberg S, Soekatri MY, Solfrizzi V, Sonestedt E, Song Y, Sørensen TI, Soric M, Jérome CS, Soumare A, Staessen JA, Starc G, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stratton G, Stronks K, Strufaldi MW, Sun CA, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Szponar L, Tai ES, Tammesoo ML, Tamosiunas A, Tang L, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taylor A, Tchibindat F, Theobald H, Thijs L, Thuesen BH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Torrent M, Toselli S, Traissac P, Trichopoulou A, Trichopoulos D, Trinh OT, Trivedi A, Tshepo L, Tulloch-Reid MK, Tuomainen TP, Tuomilehto J, Turley ML, Tynelius P, Tzotzas T, Tzourio C, Ueda P, Ukoli FA, Ulmer H, Unal B, Uusitalo HM, Valdivia G, Vale S, Valvi D, Schouw YTV, Herck KV, Minh HV, Rossem LV, Valkengoed IGV, Vanderschueren D, Vanuzzo D, Vatten L, Vega T, Velasquez-Melendez G, Veronesi G, Verschuren WM, Verstraeten R, Victora CG, Viegi G, Viet L, Viikari-Juntura E, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vollenweider P, Voutilainen S, Vrdoljak A, Vrijheid M, Wade AN, Wagner A, Walton J, Mohamud WNW, Wang MD, Wang Q, Wang YX, Wannamethee SG, Wareham N, Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Wilsgaard T, Wojtyniak B, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu J, Wu SL, Xu H, Xu L, Yamborisut U, Yan W, Yang X, Yardim N, Ye X, Yiallouros PK, Yoshihara A, You QS, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zambon S, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng Y, Zhou M, Zhu D, Zimmermann E, Cisneros JZ., Apollo - University of Cambridge Repository, Repositório Científico do Instituto Politécnico do Porto, EMGO - Quality of care, Urology, Grand Challenges Canada, Wellcome Trust, Claessens, Frank, Staessen, Jan A, Thijs, Lutgarde, and Vanderschueren, Dirk

Subjects
estatura corporal, Epidemiology, ComputingMilieux_LEGALASPECTSOFCOMPUTING, medical research, pituuskasvu, Global Health, 0302 clinical medicine, adults, Public health surveillance, Biology (General), ComputingMilieux_MISCELLANEOUS, height, global, trends, POPULATION, Human Nutrition & Health, biological sciences, education.field_of_study, EVOLUÇÃO HUMANA, Humane Voeding & Gezondheid, General Medicine, adulto, Hälsovetenskaper, Biological sciences, nutrition, OF-THE-LITERATURE, Medicine, GROWTH, HEALTH, Public Health, Human, QH301-705.5, Science, SECULAR CHANGES, Socio-culturale, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Medical research, None, Health Sciences, Humans, Human height, education, VLAG, Neuroscience (all), Biochemistry, Genetics and Molecular Biology (all), Adult human height, CHILD UNDERNUTRITION, 030104 developmental biology, Body mass index, 030217 neurology & neurosurgery, Demography, 0301 basic medicine, Settore MED/09 - Medicina Interna, Nutrition and Disease, Immunology and Microbiology (all), [SDV]Life Sciences [q-bio], humanos, epidemiology, global health, none, Voeding en Ziekte, Stature -- History -- 20th century, Medicine and Health Sciences, aikuiset, General Neuroscience, Public Health, Global Health, Social Medicine and Epidemiology, Body size, Adult, Body Height, Adult height, purl.org/pe-repo/ocde/ford#3.01.03 [https], Research Article, STATURE, South asia, purl.org/pe-repo/ocde/ford#1.06.03 [https], Stature, Tall, Population, Global health, Journal Article, Life Science, General Immunology and Microbiology, biological science, purl.org/pe-repo/ocde/ford#3.01.04 [https], Quarter (United States coin), trendit, BODY-MASS INDEX, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, korkeus, Epidemiology and Global Health, Cancer incidence, CANCER INCIDENCE, WEIGHT
Abstract

Article, Being taller is associated with enhanced longevity, and higher education and earnings. We reanalysed 1472 population-based studies, with measurement of height on more than 18.6 million participants to estimate mean height for people born between 1896 and 1996 in 200 countries. The largest gain in adult height over the past century has occurred in South Korean women and Iranian men, who became 20.2 cm (95% credible interval 17.5–22.7) and 16.5 cm (13.3–19.7) taller, respectively. In contrast, there was little change in adult height in some sub-Saharan African countries and in South Asia over the century of analysis. The tallest people over these 100 years are men born in the Netherlands in the last quarter of 20th century, whose average heights surpassed 182.5 cm, and the shortest were women born in Guatemala in 1896 (140.3 cm; 135.8–144.8). The height differential between the tallest and shortest populations was 19-20 cm a century ago, and has remained the same for women and increased for men a century later despite substantial changes in the ranking of countries., published version, http://purl.org/eprint/status/PeerReviewed

Published
2016

18. Effects of disease-associated mutations on the aggregation process of the 93-residue N-terminal fragment of human apolipoprotein A-I

Author

Raimondi, S., Guglielmi, F., Giorgetti, S., Di Gaetano, S., Arciello, A., Relini, A., Doglia, S. M., Antonino Natalello, Pucci, P., Mangione, P., Obici, L., Merlini, G., Stoppini, M., Tartaglia, G. G., Vendruscolo, M., Piccoli, R., Bellotti, V., S., Raimondi, F., Guglielmi, S., Giorgetti, S. D., Gaetano, Arciello, Angela, A., Relini, S. M., Doglia, A., Natalello, P., Pucci, P., Mangione, L., Obici, G., Merlini, M., Stoppini, G. G., Tartaglia, M., Vendruscolo, Piccoli, Renata, and V., Bellotti

Subjects
amyloidogenic proteins
Published
2010

19. Plurilinguismo nell'Europa contemporanea

Author

DI GAETANO, DANIELE EMMANUELE, D. GAETANO M. CALLARI GALLI, and D. Di Gaetano

Subjects
ISTITUZIONI, PLURILINGUISMO, EUROPA
Abstract

Presentazione delle problematiche del plurilinguismo in Europa. Punti di vista del Consiglio d'Europa.

Published
2009

20. A scoping review of decision-making tools to support substitute decision-makers for adults with impaired capacity.

Author

King S, Fernandes B, Jayme TS, Boryski G, Gaetano D, Premji Z, Venturato L, Santana MJ, Simon J, and Holroyd-Leduc J

Subjects
Humans, Aged, Decision Making, Decision Support Techniques, Dementia psychology, Mental Competency
Abstract

Background: Substitute decision-makers (SDMs) make decisions that honor medical, personal, and end-of-life wishes for older adults who have lost capacity, including those with dementia. However, SDMs often lack support, information, and problem-solving tools required to make decisions and can suffer with negative emotional, relationship, and financial impacts. The need for adaptable supports has been identified in prior meta-analyses. This scoping review identifies evidence-based decision-making resources/tools for SDMs, outlines domains of support, and determines resource/tool effectiveness and/or efficacy., Methods: The scoping review used the search strategy: Population-SDMs for older adults who have lost decision-making capacity; Concept-supports, resources, tools, and interventions; Context-any context where a decision is made on behalf of an adult (>25 years). Databases included MEDLINE, Embase, CINAHL, PsycINFO, and Abstracts in Social Gerontology and SocIndex. Tools were scored by members on the research team, including patient partners, based on domains of need previously identified in prior meta-analyses., Results: Two reviewers independently screened 5279 citations. Articles included studies that evaluated a resource/tool that helped a family/friend/caregiver SDMs outside of an ICU setting. 828 articles proceeded onto full-text screening, and 25 articles were included for data extraction. The seventeen tools identified focused on different time points/decisions in the dementia trajectory, and no single tool encompassed all the domains of caregiver decision-making needs., Conclusion: Existing tools may not comprehensively support caregiver needs. However, combining tools into a toolkit and considering their application relevant to the caregiver's journey may start to address the gap in current supports., (© 2024 The Authors. Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society.)

Published
2024
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21. Mental health and well-being of unpaid caregivers: a cross-sectional survey protocol.

Author

Parry M, Beleno R, Nissim R, Baiden D, Baxter P, Betini R, Bjørnnes AK, Burnside H, Gaetano D, Hemani S, McCarthy J, Nickerson N, Norris C, Nylén-Eriksen M, Owadally T, Pilote L, Warkentin K, Coupal A, Hasan S, Ho M, Kulbak O, Mohammed S, Mullaly L, Theriault J, Wayne N, Wu W, Yeboah EK, O'Hara A, and Peter E

Subjects
Humans, Male, Female, Adolescent, Adult, Cross-Sectional Studies, Mental Health, Canada epidemiology, Gender Identity, Caregivers psychology, COVID-19 epidemiology
Abstract

Introduction: Unpaid caregiving, care provided by family/friends, is a public health issue of increasing importance. COVID-19 worsened the mental health conditions of unpaid caregivers, increasing substance/drug use and early development of chronic disease. The impact of the intersections of race and ethnicity, sex, age and gender along with unpaid care work and caregivers' health and well-being is unknown. The aim of this study is to describe the inequities of caregiver well-being across the intersections of race and ethnicity, sex, age and gender using a cross-sectional survey design., Methods and Analysis: We are collaborating with unpaid caregivers and community organisations to recruit a non-probability sample of unpaid caregivers over 18 years of age (n=525). Recruitment will focus on a target sample of 305 South Asian, Chinese and Black people living in Canada, who represent 60% of the Canadian racial and ethnic populations. The following surveys will be combined into one survey: Participant Demographic Form, Caregiver Well-Being Index, interRAI Self-report of Carer Needs and the GENESIS (GENdEr and Sex DetermInantS of Cardiovascular Disease: From Bench to Beyond-Premature Acute Coronary Syndrome) PRAXY Questionnaire. Sample characteristics will be summarised using descriptive statistics. The scores from the Caregiver Well-Being Index will be dichotomised into fair/poor and good/excellent. A two-stage analytical strategy will be undertaken using logistic regression to model fair/poor well-being and good/excellent well-being according to the following axes of difference set a priori: sex, race and ethnicity, gender identity, age, gender relations, gender roles and institutionalised gender. The first stage of analysis will model the main effects of each factor and in the second stage of analysis, interaction terms will be added to each model., Ethics and Dissemination: The University of Toronto's Health Sciences Research Ethics Board granted approval on 9 August 2022 (protocol number: 42609). Knowledge will be disseminated in pamphlets/infographics/email listservs/newsletters and journal articles, conference presentation and public forums, social media and through the study website., Trial Registration Number: This is registered in the Open Sciences Framework with a Registration DOI as follows: https://doi.org/10.17605/OSF.IO/PB9TD., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Published
2023
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22. Sinuous Antenna for UWB Radar Applications.

Author

Mescia L, Mevoli G, Lamacchia CM, Gallo M, Bia P, Gaetano D, and Manna A

Abstract

In this paper, the recent progress on sinuous antennas is detailed, focusing the attention on the antenna geometry, dielectric structure, and miniaturization techniques. In the first part, we introduce the basic principles of the frequency-independent antenna, in particular the self-complementary and log-periodic geometries, as well as the antenna geometries, all characterized in terms of angles. The operating principles, main advantages, system design considerations, limits, and challenges of conventional sinuous antennas are illustrated. Second, we describe some technical solutions aimed to ensure the optimal trade-off between antenna size and radiation behavior. To this aim, some special modification of the antenna geometry based on the meandering as well as on the loading with dielectric structures are presented. Moreover, the cavity backing technique is explained in detail as a method to achieve unidirectional radiation. Third, we present a new class of supershaped sinuous antenna based on a suitable merge of the 2D superformula and the sinuous curve. The effect of the free parameters change on the antenna arm geometry as well as the performance improvement in terms of directivity, beam stability, beam angle, gain, and radiating efficiency are highlighted.

Published
2021
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23. Social Connection is Essential in Long-Term Care Homes: Considerations During COVID-19 and Beyond.

Author

Bethell J, O'Rourke HM, Eagleson H, Gaetano D, Hykaway W, and McAiney C

Abstract

COVID-19 has had a profound impact on long-term care (LTC) homes in Canada. But the measures put in place to control infection within LTC homes have also had devastating impacts on the health and well-being of residents through the effects on social connection. Here, we offer guiding principles to enable social connection and promote health and quality of life for LTC residents during COVID-19 and beyond. These principles were generated by a working group of the COVID-19 and Dementia Task Force, convened by the Alzheimer Society of Canada to identify the urgent and emerging issues raised by COVID-19 for Canadians with dementia., Competing Interests: CONFLICT OF INTEREST DISCLOSURES The authors declare that no conflicts of interest exist., (© 2021 Author(s). Published by the Canadian Geriatrics Society.)

Published
2021
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24. Forecasting volatility using combination across estimation windows: An application to S&P500 stock market index.

Author

Gaetano D

Abstract

The paper focuses on GARCH-type models for analysing and forecasting S&P500 stock market index. The aim is to empirically evaluate and compare alternative forecast combinations across estimation windows for directly dealing with possible structural breaks in the observed time series. In the in-sample analysis, alternative conditional volatility dynamics, suitable to account for stylized facts, have been considered along with different conditional distributions for the innovations. Moreover, an analysis of structural breaks in the unconditional variance of the series has been performed. In the out-of-sample analysis, for each model specification, the proposed forecast combinations have been evaluated and compared in terms of their predictive ability through the model confidence set. The results give evidence of the presence of structural breaks and, as a consequence, of parameter instability in S&P500 series. Moreover, averaging across volatility forecasts generated by individual forecasting models estimated using different window sizes performs well, for all the considered GARCH-type specifications and for all the implemented conditional distributions for the innovations and it appears to offer a useful approach to forecasting S&P500 stock market index.

Published
2019
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25. Assessing the contact-activation of coagulation during hemodialysis with three different polysulfone filters: A prospective randomized cross-over trial.

Author

Salvadè I, Del Giorno R, Gaetano D, and Gabutti L

Subjects
Aged, Cross-Over Studies, Female, Humans, Male, Prospective Studies, Kidney Failure, Chronic therapy, Polymers therapeutic use, Renal Dialysis methods, Sulfones therapeutic use
Abstract

Introduction: During hemodialysis (HD) the interaction of the blood with the dialyzer triggers both an inflammatory reaction and an activation of the coagulation cascade. An accepted parameter to quantify the extent of coagulation activation during HD is not available. This study aims to evaluate its amplitude, comparing dialyzers made of different polysulfone polymers, by measuring D-dimers in the filter-rinsing fluids (Frf) and to test whether Frf D-dimers are suitable candidate markers to assess contact coagulation activation during HD., Methods: In a prospective, cross-over study 41 hemodialysis patients were randomly allocated to nine HD sessions with three types of polysulfone membranes: Filter A: Poliflux®RevaclearMAX; Filter B: Helixone®Fx80, Filter C: Polyflux®H210., Findings: A total of 117 HD sessions were studied. The mean (SD) filter (Frf) D-dimers were 0.19 µg/L (0.56) for Filter A; 0.66 µg/L (2.81) for Filter B; 0.33 µg/L (1.13) for Filter C. Significant differences were found: A vs. B (P < 0.01), A vs. C (P = 0.01); B vs. C not significant. A large between-patient variability of D-dimer filter levels was found. D-Dimers in blood showed a similar trend but differences were not significant., Discussion: The contact activation of coagulation during HD may also vary among filters made up with similar polysulfones. D-dimer in the filter rinsing fluid but not in the blood can be considered a candidate marker for the evaluation of thrombogenicity during HD. Further studies are needed to elucidate the mechanism(s) and to confirm the usefulness of filter rinsing fluid D-Dimers as a clotting activation marker during HD., (© 2016 International Society for Hemodialysis.)

Published
2017
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26. Breast cancer detection using interferometric MUSIC: experimental and numerical assessment.

Author

Ruvio G, Solimene R, Cuccaro A, Gaetano D, Browne JE, and Ammann MJ

Subjects
Calibration, Computer Simulation, Diagnostic Imaging instrumentation, Female, Humans, Models, Biological, Phantoms, Imaging, Breast Neoplasms diagnosis, Breast Neoplasms pathology, Diagnostic Imaging methods, Microwaves
Abstract

Purpose: In microwave breast cancer detection, it is often beneficial to arrange sensors in close proximity to the breast. The resultant coupling generally changes the antenna response. As an a priori characterization of the radio frequency system becomes difficult, this can lead to severe degradation of the detection efficacy. The purpose of this paper is to demonstrate the advantages of adopting an interferometric multiple signal classification (I-MUSIC) approach due to its limited dependence from a priori information on the antenna. The performance of I-MUSIC detection was measured in terms of signal-to-clutter ratio (SCR), signal-to-mean ratio (SMR), and spatial displacement (SD) and compared to other common linear noncoherent imaging methods, such as migration and the standard wideband MUSIC (WB-MUSIC) which also works when the antenna is not accounted for., Methods: The data were acquired by scanning a synthetic oil-in-gelatin phantom that mimics the dielectric properties of breast tissues across the spectrum 1-3 GHz using a proprietary breast microwave multi-monostatic radar system. The phantom is a multilayer structure that includes skin, adipose, fibroconnective, fibroglandular, and tumor tissue with an adipose component accounting for 60% of the whole structure. The detected tumor has a diameter of 5 mm and is inserted inside a fibroglandular region with a permittivity contrast εr-tumor/εr-fibroglandular < 1.5 over the operating band. Three datasets were recorded corresponding to three antennas with different coupling mechanisms. This was done to assess the independence of the I-MUSIC method from antenna characterizations. The datasets were processed by using I-MUSIC, noncoherent migration, and wideband MUSIC under equivalent conditions (i.e., operative bandwidth, frequency samples, and scanning positions). SCR, SMR, and SD figures were measured from all reconstructed images. In order to benchmark experimental results, numerical simulations of equivalent scenarios were carried out by using CST Microwave Studio. The three numerical datasets were then processed following the same procedure that was designed for the experimental case., Results: Detection results are presented for both experimental and numerical phantoms, and higher performance of the I-MUSIC method in comparison with the WB-MUSIC and noncoherent migration is achieved. This finding is confirmed for the three different antennas in this study. Although a delocalization effect occurs, experimental datasets show that the signal-to-clutter ratio and the signal-to-mean performance with the I-MUSIC are at least 5 and 2.3 times better than the other methods, respectively. The numerical datasets calculated on an equivalent phantom for cross-testing confirm the improved performance of the I-MUSIC in terms of SCR and SMR. In numerical simulations, the delocalization effect is dramatically reduced up to an SD value of 1.61 achieved with the I-MUSIC in combination with the antipodal Vivaldi antenna. This shows that mechanical uncertainties are the main reason for the delocalization effect in the measurements., Conclusions: Experimental results show that the I-MUSIC generates images with signal-to-clutter levels higher than 5.46 dB across all working conditions and it reaches 7.84 dB in combination with the antipodal Vivaldi antenna. Numerical simulations confirm this trend and due to ideal mechanical conditions return a signal-to-clutter level higher than 7.61 dB. The I-MUSIC largely outperforms the methods under comparison and is able to detect a 5-mm tumor with a permittivity contrast of 1.5.

Published
2014
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