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1. Implications of the UN Common Agenda for Australia: Renewing Multilateralism

Author: Feller Ao, E, Langmore Am, J, Feller Ao, E, and Langmore Am, J
Published: 2023

2. Evaluation of the performance of Dutch Lipid Clinic Network score in an Italian FH population: The LIPIGEN study

Author: Casula, M. a., B, Be, Olmastroni, E. a., Pirillo, A. c., Catapano, D, A. L. b., D, Jemail, Author, Lipigen, Group, Averna, M. g., Bertolini, S. h., Calandra, S. i., Tarugi, P. i., Pellegatta, F. k., Angelico, F. f., Bartuli, A. l., Biasucci, G. m., Biolo, G. n., Bonanni, L. o., Bonomo, K. p., Borghi, C. q., Bossi, A. C. r., Branchi, A. s., Carubbi, F. t., Cipollone, F. u., Citroni, N. v., Federici, M. w., Ferri, C. x., Fiorenza, A. M. y., Giaccari, A. z., Giorgino, Aa, F., Guardamagna, Ab, O., Iannuzzi, Ac, A., Iughetti, Ad, L., Lupattelli, Ae, G., Lupi, Af, A., Mandraffino, Giuseppe, Ag, G., Marcucci, Ah, R., Maroni, Ai, L., Miccoli, Aj, R., Mombelli, Ak, G., Muntoni, Al, S., Pecchioli, Am, V., Pederiva, An, C., Pipolo, Ao, A., Pisciotta, Ap, L., Pujia, Aq, A., Purrello, Ar, F., Repetti, As, E., Rubba, At, P., Sabbà, Au, C., Sampietro, Av, T., Sarzani, Aw, R., Tagliabue, M. P., Ax, Trenti, Ay, C., Vigna, G. B., Az, Werba, J. P., Ba, Zambon, Bb, S., Zenti, M. G., Bc, Minicocci, I. f., Noto, D. g., Fortunato, Bd, G., Banderali, An, G., Benso, Ax, A., Bigolin, Bb, P., Bonora, Bc, E., Bruzzi, Ad, P., Bucci, M. u., Buonuomo, P. S. l., Capra, M. E. m., Cardolini, I. w., Cefalù, B. g., Cervelli, N. x., Chiariello, Ac, G., Cocci, Aw, G., Colombo, E. y., Cremonini, A. L., Ap, D'Addato, S. q., D'Erasmo, L. f., Dal, Pino, Av, B., Sanctis, De, Ab, L., Vita, De, Ao, E., Del, Ben, M. f., Costanzo, Di, A. f., Taranto, Di, M. D., Bd, Fasano, Ay, T., Gentile, As, L., At, M., Ghirardello, Az, O., Grigore, L. k., Lussu, Al, M., Meregalli, G. r., Moffa, S. z., Montalcini, Aq, T., Morgia, Nascimbeni, F. t., Pasta, A. h., Pavanello, Ak, C., Saitta, Antonino, Ag, A., Scicali, Ar, R., Siepi, Ae, D., Spagnolli, W. v., Spina, R. g., Sticchi, Ah, E., Suppressa, Au, P., Vigo, Ba, L., Vinci, P. n., Manzato, Bf, E., Tragni, Be, E., Zampoleri, Bg, V., Casula, Manuela, Olmastroni, Elena, Pirillo, Angela, Catapano, Alberico Luigi, Arca, Marcello, Averna, Maurizio, Bertolini, Stefano, Calandra, Sebastiano, Tarugi, Patrizia, Pellegatta, Fabio, Angelico, Francesco, Bartuli, Andrea, Biasucci, Giacomo, Biolo, Gianni, Bonanni, Luca, Bonomo, Katia, Borghi, Claudio, Bossi, Antonio Carlo, Branchi, Adriana, Carubbi, Francesca, Cipollone, Francesco, Citroni, Nadia, Federici, Massimo, Ferri, Claudio, Fiorenza, Anna Maria, Giaccari, Andrea, Giorgino, Francesco, Guardamagna, Ornella, Iannuzzi, Arcangelo, Iughetti, Lorenzo, Lupattelli, Graziana, Lupi, Alessandro, Mandraffino, Giuseppe, Marcucci, Rossella, Maroni, Lorenzo, Miccoli, Roberto, Mombelli, Giuliana, Muntoni, Sandro, Pecchioli, Valerio, Pederiva, Cristina, Pipolo, Antonio, Pisciotta, Livia, Pujia, Arturo, Purrello, Francesco, Repetti, Elena, Rubba, Paolo, Sabbà, Carlo, Sampietro, Tiziana, Sarzani, Riccardo, Tagliabue, Milena Paola, Trenti, Chiara, Vigna, Giovanni Battista, Werba, Josè Pablo, Zambon, Sabina, Zenti, Maria Grazia, Minicocci, Ilenia, Noto, Davide, Fortunato, Giuliana, Banderali, Giuseppe, Benso, Andrea, Bigolin, Paola, Bonora, Enzo, Bruzzi, Patrizia, Bucci, Marco, Buonuomo, Paola Sabrina, Capra, Maria Elena, Cardolini, Iri, Cefalù, Baldassarre, Cervelli, Nazzareno, Chiariello, Giuseppe, Cocci, Guido, Colombo, Emanuela, Cremonini, Anna Laura, D'Addato, Sergio, D'Erasmo, Laura, Dal Pino, Beatrice, De Sanctis, Luisa, De Vita, Emanuele, Del Ben, Maria, Di Costanzo, Alessia, Di Taranto, Maria Donata, Fasano, Tommaso, Gentile, Luigi, Gentile, Marco, Ghirardello, Omar, Grigore, Liliana, Lussu, Milena, Meregalli, Giancarla, Moffa, Simona, Montalcini, Tiziana, Morgia, Valeria, Nascimbeni, Fabio, Pasta, Andrea, Pavanello, Chiara, Saitta, Antonino, Scicali, Roberto, Siepi, Donatella, Spagnolli, Walter, Spina, Rossella, Sticchi, Elena, Suppressa, Patrizia, Vigo, Lorenzo, Vinci, Pierandrea, Manzato, Enzo, Tragni, Elena, Zampoleri, Veronica, D'addato, Sergio, D'erasmo, Laura, Casula, M, Olmastroni, E, Pirillo, A, Catapano, A, Averna, M, Noto, D, Cefalu, B, and Spina, R
Subjects: Male, Settore MED/09 - Medicina Interna, Genetic testing, Predictive Value of Test, Familial hypercholesterolemia, 030204 cardiovascular system & hematology, Decision Support Technique, 0302 clinical medicine, Retrospective Studie, Risk Factors, Cardiovascular Disease, Genetic Marker, Prospective Studies, 030212 general & internal medicine, Age of Onset, Prospective cohort study, education.field_of_study, medicine.diagnostic_test, Middle Aged, Dutch Lipid Clinic Network score, Adult, Biomarkers, Cardiovascular Diseases, Cholesterol, LDL, Female, Genetic Markers, Genetic Predisposition to Disease, Genetic Testing, Humans, Hyperlipoproteinemia Type II, Italy, Phenotype, Predictive Value of Tests, Reproducibility of Results, Retrospective Studies, Risk Assessment, Decision Support Techniques, Mutation, 3. Good health, Cholesterol, Cardiology and Cardiovascular Medicine, Human, medicine.medical_specialty, Population, Reproducibility of Result, Physical examination, LDL, 03 medical and health sciences, Internal medicine, medicine, First-degree relatives, education, business.industry, Risk Factor, Settore MED/13 - ENDOCRINOLOGIA, Biomarker, medicine.disease, Missing data, Dutch Lipid Clinic Network score, Familial hypercholesterolemia, Genetic testing, Prospective Studie, Age of onset, business
Abstract: Background and aims Familial hypercholesterolemia (FH) is an inherited disorder characterized by high levels of blood cholesterol from birth and premature coronary heart disease. Thus, the identification of FH patients is crucial to prevent or delay the onset of cardiovascular events, and the availability of a tool helping with the diagnosis in the setting of general medicine is essential to improve FH patient identification. Methods This study evaluated the performance of the Dutch Lipid Clinic Network (DLCN) score in FH patients enrolled in the LIPIGEN study, an Italian integrated network aimed at improving the identification of patients with genetic dyslipidaemias, including FH. Results The DLCN score was applied on a sample of 1377 adults (mean age 42.9 ± 14.2 years) with genetic diagnosis of FH, resulting in 28.5% of the sample classified as probable FH and 37.9% as classified definite FH. Among these subjects, 43.4% had at least one missing data out of 8, and about 10.0% had 4 missing data or more. When analyzed based on the type of missing data, a higher percentage of subjects with at least 1 missing data in the clinical history or physical examination was classified as possible FH (DLCN score 3–5). We also found that using real or estimated pre-treatment LDL-C levels may significantly modify the DLCN score. Conclusions Although the DLCN score is a useful tool for physicians in the diagnosis of FH, it may be limited by the complexity to retrieve all the essential information, suggesting a crucial role of the clinical judgement in the identification of FH subjects.
Published: 2018

3. Suppression of Prolactin Secretion Partially Explains the Antidiabetic Effect of Bromocriptine in ob/ob Mice.

Author: Furigo, Isadora C., Suzuki, Miriam F., Oliveira, Jo~ao E., Ramos-Lobo, Angela M., Teixeira, Pryscila D. S., Pedroso, João A., de Alencar, Amanda, Zampieri, Thais T., Buonfiglio, Daniella C., Quaresma, Paula G. F., Prada, Patricia O., Bartolini, Paolo, Soares, Carlos R. J., and Donato Jr., Jose
Published: 2019
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4. Two-pion Bose–Einstein correlations in central Pb–Pb collisions at √sNN = 2.76 TeV

Author: Aamodt a, K., Abrahantes Quintana b, A., Adamovác, D., Adared, A. M., Aggarwal e, M. M., Venaruzzo, Massimo, Aglieri Rinella f, G., Contin, Giacomo, Agocs g, A. G., Bregant, Marco, Aguilar Salazar h, S., Ahammed i, Z., Ahmadj, N., Ahmad Masoodi j, A., Ahnk, S. U., 1, Akindinov l, A., Aleksandrovm, D., Alessandro n, B., Alfaro Molina h, R., Alici o, A., 2, 3, Alkinp, A., Almaráz Aviña h, E., Altq, T., Altini r, V., 4, Altinpinar s, S., Altsybeevt, I., Andrei u, C., Andronic s, A., Anguelov v, V., 5, Anson w, C., Antiˇci ´c x, T., Antinori y, F., Antonioli z, P., Aphecetcheaa, L., Appelshäuser ab, H., Arbor ac, N., Arcelli o, S., Arendab, A., Armestoad, N., Arnaldi n, R., Aronsson d, T., Arsene s, I. C., Asryant, A., Augustinus f, A., Averbecks, R., Awesae, T. C., Äystöaf, J., Azmi j, M. D., Bachq, M., Badalà ag, A., Baekk, Y. W., Bagnasco n, S., Bailhache ab, R., Balaah, R., 6, Baldini Ferroli ai, R., Baldisseri aj, A., Balditak, A., Bánal, J., Barbera am, R., Barile r, F., Barnaföldi g, G. G., Barnby an, L. S., Barretak, V., Bartkeao, J., Basile o, M., Bastidak, N., Bathen ap, B., Batigne aa, G., Batyunyaaq, B., Baumannab, C., Bearden ar, I. G., Beckab, H., Belikovas, I., Bellini o, F., Bellwied at, R., 7, Belmont Moreno h, E., Beoleah, S., Berceanuu, I., Bercuci u, A., Berdermanns, E., Berdnikov au, Y., Betevf, L., Bhasinav, A., Bhati e, A. K., Bianchi ah, L., Bianchi aw, N., Bianchin ax, C., Bielˇcík ay, J., Bielˇcíková c, J., Bilandzic az, A., Biolcati f, E., 8, Blancak, A., Blancoba, F., Blancobb, F., Blaum, D., Blumeab, C., Boccioli f, M., Bockw, N., Bogdanovbc, A., Bøggild ar, H., Bogolyubsky bd, M., Boldizsárg, L., Bombarabe, M., Bombonati ax, C., Book ab, J., Borel aj, H., Bortolinax, C., 9, Bose bf, S., Bossú f, F., Botjeaz, M., Böttger v, S., Boyer bg, B., Braun Munzinger s, P., Bravina bh, L., Bregant, M., Breitner v, T., Brozbj, M., Brunf, R., Bruna d, E., Bruno r, G. E., Budnikovbk, D., Buesching ab, H., Buschbl, O., Buthelezi bm, Z., Caffarri ax, D., Cai bn, X., Cainesd, H., Calvo Villar bo, E., Camerini, Paolo, Canoa Romanf, V., 12, 11, Cara Romeoz, G., Carenaf, F., Carena f, W., Carminati f, F., Casanova Díaz aw, A., Caselle f, M., Castillo Castellanos aj, J., Catanescu u, V., Cavicchioli f, C., Cerello n, P., Chang af, B., Chapeland f, S., Charvet aj, J. L., Chattopadhyaybf, S., Chattopadhyay i, S., Cherney bp, M., Cheshkovbq, C., Cheynis bq, B., Chiavassa n, E., Chibante Barroso f, V., Chinellato br, D. D., Chochulaf, P., Chojnacki bs, M., Christakoglou bs, P., Christensen ar, C. H., Christiansen bt, P., Chujo bu, T., Cicalo bv, C., Cifarelli o, L., Cindoloz, F., Cleymansbm, J., Coccetti ai, F., Coffinas, J. P., Coli n, S., Conesa Balbastre aw, G., Conesa del Valle aa, Z., Constantinbl, P., Contin, G., Contrerasbw, J. G., Cormier at, T. M., Corrales Morales ah, Y., Cortés Maldonado bx, I., Cortese by, P., Cosentino br, M. R., Costaf, F., Cotallo ba, M. E., Cresciobw, E., Crochetak, P., Cuautle bz, E., Cunqueiro aw, L., D’Erasmor, G., Daineseca, A., Dalsgaard ar, H. H., Danucb, A., Dasbf, D., Dasbf, I., Dashcc, A., Dashn, S., Dei, S., De Azevedo Moregula aw, A., de Barros cd, G. O. V., De Caroce, A., de Cataldo cf, G., de Cuveland q, J., De Falcocg, A., De Gruttolace, D., De Marco n, N., De Pasquale ce, S., De Remigis n, R., de Rooij bs, R., Delagrangeaa, H., Delgado Mercado bo, Y., Dellacasa by, G., Deloff ch, A., Demanovbk, V., Dénes g, E., Deppman cd, A., Di Bari r, D., Di Giglio r, C., Di Liberto ci, S., Di Maurof, A., Di Nezza aw, P., Dietel ap, T., Divià f, R., Djuvsland a, Ø., Dobrin at, A., Dobrowolski ch, T., Domínguez bz, I., Dönigus s, B., Dordic bh, O., Drigaaa, O., Dubeyi, A. K., Ducroux bq, L., Dupieux ak, P., Dutta Majumdar bf, A. K., Dutta Majumdar i, M. R., Eliacf, D., Emschermann ap, D., Engel v, H., Erdal cj, H. A., Espagnonbg, B., Estienne aa, M., Esumi bu, S., Evansan, D., Evrard f, S., Eyyubova bh, G., Fabjan f, C. W., Fabrisy, D., Faivre ac, J., Falchieri o, D., Fantoni aw, A., Fasel s, M., Fearickbm, R., Fedunovaq, A., Fehlker a, D., Feketebj, V., Felea cb, D., Feofilovt, G., Fernández Téllez bx, A., Ferretti ah, A., Ferretti by, R., Figueredo cd, M. A. S., Filchagin bk, S., Fini cf, R., Finogeev ck, D., Fionda r, F. M., Fiore r, E. M., Florisf, M., Foertsch bm, S., Fokas, P., Fokinm, S., Fragiacomo, Enrico, Fragkiadakis cm, M., Frankenfelds, U., Fuchsf, U., Furano f, F., Furgetac, C., Fusco Girard ce, M., Gaardhøje ar, J. J., Gadratac, S., Gagliardi ah, M., Gagobo, A., Gallio ah, M., Ganoti cm, P., Garabatos s, C., Gemmeby, R., Gerhardq, J., Germainaa, M., Geuna aj, C., Gheata f, A., Gheataf, M., Ghidini r, B., Ghosh i, P., Girard cn, M. R., Giraudon, G., Giubellino ah, P., 3, Gladysz Dziadus ao, E., Glässel bl, P., Gomezco, R., González Trueba h, L. H., González Zamora ba, P., González Santos bx, H., Gorbunovq, S., Gotovaccp, S., Grabski h, V., Grajcarekbl, R., Gramling bl, J. L., Grelli bs, A., Grigorasf, A., Grigorasf, C., Grigoriev bc, V., Grigoryancq, A., Grigoryanaq, S., Grinyovp, B., Grion cl, N., Grosbt, P., Grosse Oetringhaus f, J. F., Grossiord bq, J. Y., Grosso y, R., Guber ck, F., Guernane ac, R., Guerra Gutierrez bo, C., Guerzoni o, B., Gulbrandsen ar, K., Gulkanyancq, H., Gunji cr, T., Guptaav, A., Gupta av, R., Gutbrods, H., Haaland a, Ø., Hadjidakisbg, C., Haiduccb, M., Hamagaki cr, H., Hamar g, G., Harris d, J. W., Hartigab, M., Haschaw, D., Hasegan cb, D., Hatzifotiadou z, D., Hayrapetyan cq, A., Heideap, M., Heinz d, M., Helstrupcj, H., Herghelegiu u, A., Hernández s, C., Herrera Corral bw, G., Herrmannbl, N., Hetland cj, K. F., Hicksd, B., Hille d, P. T., Hippolyte as, B., Horaguchi bu, T., Hori cr, Y., Hristovf, P., Hˇrivnáˇcová bg, I., Huanga, M., Huber s, S., Humanicw, T. J., Hwangcs, D. S., Ichouaa, R., Ilkaevbk, R., Ilkivch, I., Inaba bu, M., Incani cg, E., Innocenti ah, G. M., Innocenti f, P. G., Ippolitovm, M., Irfanj, M., Ivans, C., Ivanov t, A., Ivanovs, M., Ivanovau, V., Jachołkowski f, A., Jacobsct, P. M., Jancurováaq, L., Jangal as, S., Janik bj, R., Jayarathna bb, S. P., Jenacu, S., Jirden f, L., Jonesan, G. T., Jonesan, P. G., Jovanovi ´c an, P., Jungk, H., Jung k, W., Juskoan, A., Kalcherq, S., Kaliˇnák al, P., Kaliskyap, M., Kalliokoski af, T., Kalweitcv, A., Kamermans bs, R., Kanaki a, K., Kangk, E., Kangcw, J. H., Kaplinbc, V., Karavichev ck, O., Karavicheva ck, T., Karpechev ck, E., Kazantsevm, A., Kebschull v, U., Keidel cx, R., Khanj, M. M., Khanzadeev au, A., Kharlovbd, Y., Kileng cj, B., Kimaf, D. J., Kimk, D. S., Kimk, D. W., Kimk, H. N., Kimcs, J. H., Kimk, J. S., Kimk, M., Kimcw, M., Kim cs, S., Kimk, S. H., Kirsch f, S., Kisel v, I., Kiselevl, S., Kisiel f, A., Klaycy, J. L., Kleinbl, J., Klein Bösing ap, C., Kliemantab, M., Klovning a, A., Klugef, A., Knichel s, M. L., Kochbl, K., Köhlers, M. K., Kolevatov bh, R., Kolojvari t, A., Kondratiev t, V., Kondratyevabc, N., Konevskih ck, A., E. Korna´s., Ao, Kottachchi Kankanamge Don at, C., Kouran, R., Kowalski ao, M., Koxac, S., Koyithatta Meethaleveedu cu, G., Kozlovm, K., Kral af, J., Králikal, I., Kramerab, F., Krauscv, I., Krawutschkebl, T., Kretzq, M., Krivda an, M., Krumbhorn bl, D., Krusay, M., Kryshenau, E., Krzewicki az, M., Kucheriaevm, Y., Kuhnas, C., Kuijer az, P. G., Kurashvili ch, P., Kurepin ck, A., Kurepin ck, A. B., Kuryakinbk, A., Kushpil c, S., Kushpil c, V., Kweon bl, M. J., Kwoncw, Y., La Rocca am, P., Ladrón de Guevaraba, P., Lafage bg, V., Larav, C., Larsena, D. T., Lazzeroni an, C., Le Bornec bg, Y., Leabi, R., Leek, K. S., Leek, S. C., Lefèvre aa, F., Lehnert ab, J., Leistamf, L., Lenhardt aa, M., Lenti cf, V., León Monzónco, I., León Vargasab, H., Lévai g, P., Li cz, X., Lietavaan, R., Lindal bh, S., Lindenstruth v, V., Lippmann f, C., Lisa w, M. A., Liua, L., Loggins at, V. R., Loginov bc, V., Lohn f, S., Lohner bl, D., Loizidesct, C., Lopezak, X., López Noriega bg, M., López Torres b, E., Løvhøidenbh, G., Lu bl, X. G., Luettig ab, P., Lunardonax, M., Luparello ah, G., Luquin aa, L., Luzzi f, C., Mabn, K., Mad, R., Madagodahettige Don bb, D. M., Maevskayack, A., Magerf, M., Mahapatra cc, D. P., Maireas, A., Malaev au, M., Maldonado Cervantes bz, I., Malinina aq, L., Mal’Kevich l, D., Malzachers, P., Mamonovbk, A., Manceauak, L., Mangotra av, L., Mankom, V., Mansoak, F., Manzari cf, V., Maobn, Y., Marešda, J., Margagliotti, Giacomo, Margotti z, A., Maríns, A., Martashvili db, I., Martinengo f, P., Martínez bx, M. I., Martínez Davalos h, A., Martínez García aa, G., Martynov p, Y., Masaa, A., Masciocchi s, S., Maseraah, M., Masoni bv, A., Massacrier bq, L., Mastromarco cf, M., Mastroserio f, A., Matthews an, Z. L., Matyja ao, A., Mayani bz, D., Mazza n, G., Mazzoni ci, M. A., Meddi dc, F., Menchaca Rocha h, A., Mendez Lorenzo f, P., Mercado Pérezbl, J., Mereu n, P., Miake bu, Y., Midori dd, J., Milano ah, L., Milosevic bh, J., Mischke bs, A., Mi´skowiec s, D., 3, ∗, Mitu cb, C., Mlynarz at, J., Mohantyi, B., Molnarf, L., Montaño Zetinabw, L., Montenon, M., Montesba, E., Morando ax, M., Moreira De Godoy cd, D. A., Morettoax, S., Morsch f, A., Muccifora aw, V., Mudniccp, E., Müller f, H., Muhuri i, S., Munhoz cd, M. G., Munozbx, J., Musaf, L., Musso n, A., Nandi cu, B. K., Naniaz, R., Nappi cf, E., Nattrass db, C., Navachr, F., Navin an, S., Nayaki, T. K., Nazarenko bk, S., Nazarov bk, G., Nedosekin l, A., Nendazbq, F., Newbyde, J., Nicassio r, M., Nielsenar, B. S., Nikolaev m, S., Nikolic x, V., Nikulinm, S., Nikulin au, V., Nilsen bp, B. S., Nilsson bh, M. S., Noferini z, F., Nooren bs, G., Novitzky af, N., Nyanin m, A., Nyathacu, A., Nygaard ar, C., Nystranda, J., Obayashi dd, H., Ochirovt, A., Oeschlercv, H., Oh k, S. K., Oleniaczcn, J., Oppedisano n, C., Ortiz Velasquez bz, A., Ortonaf, G., Oskarsson bt, A., Ostrowski cn, P., Otterlundbt, I., Otwinowski s, J., Øvrebekk a, G., Oyamabl, K., Ozawacr, K., Pachmayerbl, Y., Pachr ay, M., Padilla ah, F., Pagano f, P., G. Pai´c., Bz, Painkeq, F., Pajaresad, C., Pal aj, S., Pal i, S. K., Palaha an, A., Palmeri ag, A., Pappalardo ag, G. S., Parks, W. J., Paticchio cf, V., Pavlinovat, A., Pawlakcn, T., Peitzmannbs, T., Peresunkom, D., Pérez Lara az, C. E., Perini f, D., Perrino r, D., Perytcn, W., Pesci z, A., Peskovf, V., Pestovdf, Y., Peters f, A. J., Petráˇcek ay, V., Petrisu, M., Petrovan, P., Petrovici u, M., Pettaam, C., Piano, Stefano, Piccotti n, A., Pikna bj, M., Pillot aa, P., Pinazza f, O., Pinsky bb, L., Pitz ab, N., Piuz f, F., Piyarathna at, D. B., Plattan, R., Płoskon´ ct, M., Pluta cn, J., Pocheptsov aq, T., Pochybova g, S., Podesta Lerma co, P. L. M., Poghosyan ah, M. G., Polák da, K., Polichtchouk bd, B., Popu, A., Pospíšil ay, V., Potukuchi av, B., Prasadat, S. K., Preghenella ai, R., Prino n, F., Pruneau at, C. A., Pshenichnov ck, I., Puddu cg, G., Pulvirenti am, A., Puninbk, V., Putiš, M., Putschke d, J., Quercigh f, E., Qvigstad bh, H., Rachevski cl, A., Rademakers f, A., Rademakers f, O., Radomski bl, S., Räihäaf, T. S., Rakaf, J., Rakotozafindrabe aj, A., Ramello by, L., Ramírez Reyesbw, A., Rammler ap, M., Raniwala dg, R., Raniwala dg, S., Räsänen af, S. S., Readdb, K. F., Real ac, J. S., Redlichch, K., Renfordt ab, R., Reolonaw, A. R., Reshetinck, A., Rettig q, F., Revol f, J. P., Reygersbl, K., Ricaud cv, H., Riccati n, L., Ricci ca, R. A., Richtera, M., Riedlerf, P., Rieglerf, W., Riggi am, F., Rivetti n, A., Rodríguez Cahuantzi bx, M., Rohr q, D., Röhrich a, D., Romita s, R., Ronchetti aw, F., Rosinský f, P., Rosnet ak, P., Rossegger f, S., Rossi ax, A., Roukoutakis cm, F., Rousseau bg, S., Royaa, C., Roybf, P., Rubio Montero ba, A. J., Rui, Rinaldo, Rusanovf, I., Ryabinkinm, E., Rybicki ao, A., Sadovskybd, S., Šafaˇrík f, K., Sahooax, R., Sahucc, P. K., Saizf, P., Sakai ct, S., Sakata bu, D., Salgadoad, C. A., Samanta i, T., Sambyal av, S., Samsonov au, V., Šándoral, L., Sandoval h, A., Sano bu, M., Sanocr, S., Santoap, R., Santorocf, R., Sarkamoaf, J., Saturnini ak, P., Scapparone z, E., Scarlassara ax, F., Scharenbergdh, R. P., Schiauau, C., Schicker bl, R., Schmidts, C., Schmidt s, H. R., Schreiner f, S., Schuchmannab, S., Schukraftf, J., Schutzaa, Y., Schwarzs, K., Schwedabl, K., Scioli o, G., Scomparin n, E., Scottan, P. A., Scottdb, R., Segato ax, G., Senyukov by, S., Seo k, J., Serci cg, S., Serradilla ba, E., Sevcenco cb, A., Shabratovaaq, G., Shahoyan f, R., Sharma e, N., Sharma av, S., Shigaki dd, K., Shimomura bu, M., Shtejer b, K., Sibiriakm, Y., Siciliano ah, M., Sickingf, E., Siemiarczukch, T., Silenzi o, A., Silvermyr ae, D., Simonetti f, G., Singarajui, R., Singh av, R., Sinha i, B. C., Sinha bf, T., Sitarbj, B., Sittaby, M., Skaali bh, T. B., Skjerdal a, K., Smakal ay, R., Smirnov d, N., Snellings az, R., Søgaard ar, C., Soloviev bd, A., Soltzde, R., Son cs, H., Songcw, M., Soos f, C., Soramel ax, F., Spyropoulou Stassinaki cm, M., Srivastavadh, B. K., Stachel bl, J., Stan cb, I., Stefanekch, G., Stefanini f, G., Steinbeckv, T., Stenlundbt, E., Steynbm, G., Stocco aa, D., Stockab, R., Stolpovskiy bd, M., Strmenbj, P., Suaide cd, A. A. P., Subieta Vásquez ah, M. A., Sugitate dd, T., Suire bg, C., Šumbera c, M., Susa x, T., Swobodaf, D., Symons ct, T. J. M., Szanto de Toledocd, A., Szarkabj, I., Szostaka, A., Tagridis cm, C., Takahashi br, J., Tapia Takaki bg, J. D., Taurof, A., Tavletf, M., Tejeda Muñoz bx, G., Telesca f, A., Terrevoli r, C., Thäders, J., Thomasbs, D., Thomas s, J. H., Tieulent bq, R., Timmins at, A. R., Tlusty ay, D., Toia f, A., Torii dd, H., Toscano f, L., Tosello n, F., Traczykcn, T., Truesdale w, D., Trzaskaaf, W. H., Tumkinbk, A., Turrisi y, R., Turveybp, A. J., Tveterbh, T. S., Uleryab, J., Ullaland a, K., Urascg, A., Urbánbe, J., Urciuoli ci, G. M., Usai cg, G. L., Vacchi cl, A., Valaaq, M., Valencia Palomo bg, L., Vallero bl, S., van der Kolkaz, N., van Leeuwen bs, M., Vande Vyvre f, P., Vannucci ca, L., Vargasbx, A., Varmacu, R., Vasileioucm, M., Vasilievm, A., Vechernin t, V., Venaruzzo, M., Vercellin ah, E., Vergara bx, S., Vernet di, R., Verweij bs, M., Vickovic cp, L., Viesti ax, G., Vikhlyantsev bk, O., Vilakazi bm, Z., Villalobos Baillie an, O., Vinogradovm, A., Vinogradov t, L., Vinogradov bk, Y., Virgili ce, T., Viyogi i, Y. P., Vodopyanov aq, A., Voloshin l, K., Voloshin at, S., Volpe r, G., von Haller f, B., Vranics, D., Vrlákovábe, J., Vulpescu ak, B., Wagnera, B., Wagneray, V., Wan as, R., Wangbn, D., Wangbl, Y., Wangbn, Y., Watanabe bu, K., Wessels ap, J. P., Westerhoffap, U., Wiechula bl, J., Wiknebh, J., Wildeap, M., Wilk ap, A., Wilk ch, G., Williams z, M. C. S., Windelband bl, B., Yang aj, H., Yasnopolskiym, S., Yi dj, J., Yinbn, Z., Yokoyamabu, H., Yoo dj, I. K., Yuanbn, X., Yushmanovm, I., Zabrodin bh, E., Zampolli f, C., Zaporozhets aq, S., Zarochentsev t, A., Závadada, P., Zbroszczyk cn, H., Zelnicek v, P., Zeninbd, A., Zguracb, I., Zhalovau, M., Zhang bn, X., Zhoubn, D., Zhubn, X., Zichichi o, A., Zinovjev p, G., Zoccarato bq, Y., M. Zynovyev p., K., Aamodt a, A., Abrahantes Quintana b, D., Adamovác, A. M., Adared, M. M., Aggarwal e, Venaruzzo, Massimo, G., Aglieri Rinella f, Contin, Giacomo, A. G., Agocs g, Bregant, Marco, S., Aguilar Salazar h, Z., Ahammed i, N., Ahmadj, A., Ahmad Masoodi j, S. U., Ahnk, A., Akindinov l, D., Aleksandrovm, B., Alessandro n, R., Alfaro Molina h, A., Alici o, 2, 3, A., Alkinp, E., Almaráz Aviña h, T., Altq, V., Altini r, S., Altinpinar, I., Altsybeevt, C., Andrei u, A., Andronic, V., Anguelov v, C., Anson w, T., Antiˇci ´c x, F., Antinori y, P., Antonioli z, L., Aphecetcheaa, H., Appelshäuser ab, N., Arbor ac, S., Arcelli o, A., Arendab, N., Armestoad, R., Arnaldi n, T., Aronsson d, I. C., Arsene, A., Asryant, A., Augustinus f, R., Averbeck, T. C., Awesae, J., Äystöaf, M. D., Azmi j, M., Bachq, A., Badalà ag, Y. W., Baekk, S., Bagnasco n, R., Bailhache ab, R., Balaah, R., Baldini Ferroli ai, A., Baldisseri aj, A., Balditak, J., Bánal, R., Barbera am, F., Barile r, G. G., Barnaföldi g, L. S., Barnby an, V., Barretak, J., Bartkeao, M., Basile o, N., Bastidak, B., Bathen ap, G., Batigne aa, B., Batyunyaaq, C., Baumannab, I. G., Bearden ar, H., Beckab, I., Belikova, F., Bellini o, R., Bellwied at, E., Belmont Moreno h, S., Beoleah, I., Berceanuu, A., Bercuci u, E., Berdermann, Y., Berdnikov au, L., Betevf, A., Bhasinav, A. K., Bhati e, L., Bianchi ah, N., Bianchi aw, C., Bianchin ax, J., Bielˇcík ay, J., Bielˇcíková c, A., Bilandzic az, E., Biolcati f, A., Blancak, F., Blancoba, F., Blancobb, D., Blaum, C., Blumeab, M., Boccioli f, N., Bockw, A., Bogdanovbc, H., Bøggild ar, M., Bogolyubsky bd, L., Boldizsárg, M., Bombarabe, C., Bombonati ax, J., Book ab, H., Borel aj, C., Bortolinax, S., Bose bf, F., Bossú f, M., Botjeaz, S., Böttger v, B., Boyer bg, P., Braun Munzinger, L., Bravina bh, Bregant, M., T., Breitner v, M., Brozbj, R., Brunf, E., Bruna d, G. E., Bruno r, D., Budnikovbk, H., Buesching ab, O., Buschbl, Z., Buthelezi bm, D., Caffarri ax, X., Cai bn, H., Cainesd, E., Calvo Villar bo, Camerini, Paolo, V., Canoa Romanf, 11, 12, G., Cara Romeoz, F., Carenaf, W., Carena f, F., Carminati f, A., Casanova Díaz aw, M., Caselle f, J., Castillo Castellanos aj, V., Catanescu u, C., Cavicchioli f, P., Cerello n, B., Chang af, S., Chapeland f, J. L., Charvet aj, S., Chattopadhyaybf, S., Chattopadhyay i, M., Cherney bp, C., Cheshkovbq, B., Cheynis bq, E., Chiavassa n, V., Chibante Barroso f, D. D., Chinellato br, P., Chochulaf, M., Chojnacki b, P., Christakoglou b, C. H., Christensen ar, P., Christiansen bt, T., Chujo bu, C., Cicalo bv, L., Cifarelli o, F., Cindoloz, J., Cleymansbm, F., Coccetti ai, J. P., Coffina, S., Coli n, G., Conesa Balbastre aw, Z., Conesa del Valle aa, P., Constantinbl, Contin, G., J. G., Contrerasbw, T. M., Cormier at, Y., Corrales Morales ah, I., Cortés Maldonado bx, P., Cortese by, M. R., Cosentino br, F., Costaf, M. E., Cotallo ba, E., Cresciobw, P., Crochetak, E., Cuautle bz, L., Cunqueiro aw, G., D’Erasmor, A., Daineseca, H. H., Dalsgaard ar, A., Danucb, D., Dasbf, I., Dasbf, A., Dashcc, S., Dashn, S., Dei, A., De Azevedo Moregula aw, G. O. V., de Barros cd, A., De Caroce, G., de Cataldo cf, J., de Cuveland q, A., De Falcocg, D., De Gruttolace, N., De Marco n, S., De Pasquale ce, R., De Remigis n, R., de Rooij b, H., Delagrangeaa, Y., Delgado Mercado bo, G., Dellacasa by, A., Deloff ch, V., Demanovbk, E., Dénes g, A., Deppman cd, D., Di Bari r, C., Di Giglio r, S., Di Liberto ci, A., Di Maurof, P., Di Nezza aw, T., Dietel ap, R., Divià f, Ø., Djuvsland a, A., Dobrin at, T., Dobrowolski ch, I., Domínguez bz, B., Dönigus, O., Dordic bh, O., Drigaaa, A. K., Dubeyi, L., Ducroux bq, P., Dupieux ak, A. K., Dutta Majumdar bf, M. R., Dutta Majumdar i, D., Eliacf, D., Emschermann ap, H., Engel v, H. A., Erdal cj, B., Espagnonbg, M., Estienne aa, S., Esumi bu, D., Evansan, S., Evrard f, G., Eyyubova bh, C. W., Fabjan f, D., Fabrisy, J., Faivre ac, D., Falchieri o, A., Fantoni aw, M., Fasel, R., Fearickbm, A., Fedunovaq, D., Fehlker a, V., Feketebj, D., Felea cb, G., Feofilovt, A., Fernández Téllez bx, A., Ferretti ah, R., Ferretti by, M. A. S., Figueredo cd, S., Filchagin bk, R., Fini cf, D., Finogeev ck, F. M., Fionda r, E. M., Fiore r, M., Florisf, S., Foertsch bm, P., Foka, S., Fokinm, Fragiacomo, Enrico, M., Fragkiadakis cm, U., Frankenfeld, U., Fuchsf, F., Furano f, C., Furgetac, M., Fusco Girard ce, J. J., Gaardhøje ar, S., Gadratac, M., Gagliardi ah, A., Gagobo, M., Gallio ah, P., Ganoti cm, C., Garabatos, R., Gemmeby, J., Gerhardq, M., Germainaa, C., Geuna aj, A., Gheata f, M., Gheataf, B., Ghidini r, P., Ghosh i, M. R., Girard cn, G., Giraudon, P., Giubellino ah, E., Gladysz Dziadus ao, P., Glässel bl, R., Gomezco, L. H., González Trueba h, P., González Zamora ba, H., González Santos bx, S., Gorbunovq, S., Gotovaccp, V., Grabski h, R., Grajcarekbl, J. L., Gramling bl, A., Grelli b, A., Grigorasf, C., Grigorasf, V., Grigoriev bc, A., Grigoryancq, S., Grigoryanaq, B., Grinyovp, N., Grion cl, P., Grosbt, J. F., Grosse Oetringhaus f, J. Y., Grossiord bq, R., Grosso y, F., Guber ck, R., Guernane ac, C., Guerra Gutierrez bo, B., Guerzoni o, K., Gulbrandsen ar, H., Gulkanyancq, T., Gunji cr, A., Guptaav, R., Gupta av, H., Gutbrod, Ø., Haaland a, C., Hadjidakisbg, M., Haiduccb, H., Hamagaki cr, G., Hamar g, J. W., Harris d, M., Hartigab, D., Haschaw, D., Hasegan cb, D., Hatzifotiadou z, A., Hayrapetyan cq, M., Heideap, M., Heinz d, H., Helstrupcj, A., Herghelegiu u, C., Hernández, G., Herrera Corral bw, N., Herrmannbl, K. F., Hetland cj, B., Hicksd, P. T., Hille d, B., Hippolyte a, T., Horaguchi bu, Y., Hori cr, P., Hristovf, I., Hˇrivnáˇcová bg, M., Huanga, S., Huber, T. J., Humanicw, D. S., Hwangc, R., Ichouaa, R., Ilkaevbk, I., Ilkivch, M., Inaba bu, E., Incani cg, G. M., Innocenti ah, P. G., Innocenti f, M., Ippolitovm, M., Irfanj, C., Ivan, A., Ivanov t, M., Ivanov, V., Ivanovau, A., Jachołkowski f, P. M., Jacobsct, L., Jancurováaq, S., Jangal a, R., Janik bj, S. P., Jayarathna bb, S., Jenacu, L., Jirden f, G. T., Jonesan, P. G., Jonesan, P., Jovanovi ´c an, H., Jungk, W., Jung k, A., Juskoan, S., Kalcherq, P., Kaliˇnák al, M., Kaliskyap, T., Kalliokoski af, A., Kalweitcv, R., Kamermans b, K., Kanaki a, E., Kangk, J. H., Kangcw, V., Kaplinbc, O., Karavichev ck, T., Karavicheva ck, E., Karpechev ck, A., Kazantsevm, U., Kebschull v, R., Keidel cx, M. M., Khanj, A., Khanzadeev au, Y., Kharlovbd, B., Kileng cj, D. J., Kimaf, D. S., Kimk, D. W., Kimk, H. N., Kimk, J. H., Kimc, J. S., Kimk, M., Kimk, M., Kimcw, S., Kim c, S. H., Kimk, S., Kirsch f, I., Kisel v, S., Kiselevl, A., Kisiel f, J. L., Klaycy, J., Kleinbl, C., Klein Bösing ap, M., Kliemantab, A., Klovning a, A., Klugef, M. L., Knichel, K., Kochbl, M. K., Köhler, R., Kolevatov bh, A., Kolojvari t, V., Kondratiev t, N., Kondratyevabc, A., Konevskih ck, E., Korna´s ao, C., Kottachchi Kankanamge Don at, R., Kouran, M., Kowalski ao, S., Koxac, G., Koyithatta Meethaleveedu cu, K., Kozlovm, J., Kral af, I., Králikal, F., Kramerab, I., Krauscv, T., Krawutschkebl, M., Kretzq, M., Krivda an, D., Krumbhorn bl, M., Krusay, E., Kryshenau, M., Krzewicki az, Y., Kucheriaevm, C., Kuhna, P. G., Kuijer az, P., Kurashvili ch, A., Kurepin ck, A. B., Kurepin ck, A., Kuryakinbk, S., Kushpil c, V., Kushpil c, M. J., Kweon bl, Y., Kwoncw, P., La Rocca am, P., Ladrón de Guevaraba, V., Lafage bg, C., Larav, D. T., Larsena, C., Lazzeroni an, Y., Le Bornec bg, R., Leabi, K. S., Leek, S. C., Leek, F., Lefèvre aa, J., Lehnert ab, L., Leistamf, M., Lenhardt aa, V., Lenti cf, I., León Monzónco, H., León Vargasab, P., Lévai g, X., Li cz, R., Lietavaan, S., Lindal bh, V., Lindenstruth v, C., Lippmann f, M. A., Lisa w, L., Liua, V. R., Loggins at, V., Loginov bc, S., Lohn f, D., Lohner bl, C., Loizidesct, X., Lopezak, M., López Noriega bg, E., López Torres b, G., Løvhøidenbh, X. G., Lu bl, P., Luettig ab, M., Lunardonax, G., Luparello ah, L., Luquin aa, C., Luzzi f, K., Mabn, R., Mad, D. M., Madagodahettige Don bb, A., Maevskayack, M., Magerf, D. P., Mahapatra cc, A., Mairea, M., Malaev au, I., Maldonado Cervantes bz, L., Malinina aq, D., Mal’Kevich l, P., Malzacher, A., Mamonovbk, L., Manceauak, L., Mangotra av, V., Mankom, F., Mansoak, V., Manzari cf, Y., Maobn, J., Marešda, Margagliotti, Giacomo, A., Margotti z, A., Marín, I., Martashvili db, P., Martinengo f, M. I., Martínez bx, A., Martínez Davalos h, G., Martínez García aa, Y., Martynov p, A., Masaa, S., Masciocchi, M., Maseraah, A., Masoni bv, L., Massacrier bq, M., Mastromarco cf, A., Mastroserio f, Z. L., Matthews an, A., Matyja ao, D., Mayani bz, G., Mazza n, M. A., Mazzoni ci, F., Meddi dc, A., Menchaca Rocha h, P., Mendez Lorenzo f, J., Mercado Pérezbl, P., Mereu n, Y., Miake bu, J., Midori dd, L., Milano ah, J., Milosevic bh, A., Mischke b, D., Mi´skowiec, 3, ∗, C., Mitu cb, J., Mlynarz at, B., Mohantyi, L., Molnarf, L., Montaño Zetinabw, M., Montenon, E., Montesba, M., Morando ax, D. A., Moreira De Godoy cd, S., Morettoax, A., Morsch f, V., Muccifora aw, E., Mudniccp, H., Müller f, S., Muhuri i, M. G., Munhoz cd, J., Munozbx, L., Musaf, A., Musso n, B. K., Nandi cu, R., Naniaz, E., Nappi cf, C., Nattrass db, F., Navachr, S., Navin an, T. K., Nayaki, S., Nazarenko bk, G., Nazarov bk, A., Nedosekin l, F., Nendazbq, J., Newbyde, M., Nicassio r, B. S., Nielsenar, S., Nikolaev m, V., Nikolic x, S., Nikulinm, V., Nikulin au, B. S., Nilsen bp, M. S., Nilsson bh, F., Noferini z, G., Nooren b, N., Novitzky af, A., Nyanin m, A., Nyathacu, C., Nygaard ar, J., Nystranda, H., Obayashi dd, A., Ochirovt, H., Oeschlercv, S. K., Oh k, J., Oleniaczcn, C., Oppedisano n, A., Ortiz Velasquez bz, G., Ortonaf, A., Oskarsson bt, P., Ostrowski cn, I., Otterlundbt, J., Otwinowski, G., Øvrebekk a, K., Oyamabl, K., Ozawacr, Y., Pachmayerbl, M., Pachr ay, F., Padilla ah, P., Pagano f, G., Pai´c bz, F., Painkeq, C., Pajaresad, S., Pal aj, S. K., Pal i, A., Palaha an, A., Palmeri ag, G. S., Pappalardo ag, W. J., Park, V., Paticchio cf, A., Pavlinovat, T., Pawlakcn, T., Peitzmannb, D., Peresunkom, C. E., Pérez Lara az, D., Perini f, D., Perrino r, W., Perytcn, A., Pesci z, V., Peskovf, Y., Pestovdf, A. J., Peters f, V., Petráˇcek ay, M., Petrisu, P., Petrovan, M., Petrovici u, C., Pettaam, Piano, Stefano, A., Piccotti n, M., Pikna bj, P., Pillot aa, O., Pinazza f, L., Pinsky bb, N., Pitz ab, F., Piuz f, D. B., Piyarathna at, R., Plattan, M., Płoskon´ ct, J., Pluta cn, T., Pocheptsov aq, S., Pochybova g, P. L. M., Podesta Lerma co, M. G., Poghosyan ah, K., Polák da, B., Polichtchouk bd, A., Popu, V., Pospíšil ay, B., Potukuchi av, S. K., Prasadat, R., Preghenella ai, F., Prino n, C. A., Pruneau at, I., Pshenichnov ck, G., Puddu cg, A., Pulvirenti am, V., Puninbk, M., Putiš, Be, J., Putschke d, E., Quercigh f, H., Qvigstad bh, A., Rachevski cl, A., Rademakers f, O., Rademakers f, S., Radomski bl, T. S., Räihäaf, J., Rakaf, A., Rakotozafindrabe aj, L., Ramello by, A., Ramírez Reyesbw, M., Rammler ap, R., Raniwala dg, S., Raniwala dg, S. S., Räsänen af, K. F., Readdb, J. S., Real ac, K., Redlichch, R., Renfordt ab, A. R., Reolonaw, A., Reshetinck, F., Rettig q, J. P., Revol f, K., Reygersbl, H., Ricaud cv, L., Riccati n, R. A., Ricci ca, M., Richtera, P., Riedlerf, W., Rieglerf, F., Riggi am, A., Rivetti n, M., Rodríguez Cahuantzi bx, D., Rohr q, D., Röhrich a, R., Romita, F., Ronchetti aw, P., Rosinský f, P., Rosnet ak, S., Rossegger f, A., Rossi ax, F., Roukoutakis cm, S., Rousseau bg, C., Royaa, P., Roybf, A. J., Rubio Montero ba, Rui, Rinaldo, I., Rusanovf, E., Ryabinkinm, A., Rybicki ao, S., Sadovskybd, K., Šafaˇrík f, R., Sahooax, P. K., Sahucc, P., Saizf, S., Sakai ct, D., Sakata bu, C. A., Salgadoad, T., Samanta i, S., Sambyal av, V., Samsonov au, L., Šándoral, A., Sandoval h, M., Sano bu, S., Sanocr, R., Santoap, R., Santorocf, J., Sarkamoaf, P., Saturnini ak, E., Scapparone z, F., Scarlassara ax, R. P., Scharenbergdh, C., Schiauau, R., Schicker bl, C., Schmidt, H. R., Schmidt, S., Schreiner f, S., Schuchmannab, J., Schukraftf, Y., Schutzaa, K., Schwarz, K., Schwedabl, G., Scioli o, E., Scomparin n, P. A., Scottan, R., Scottdb, G., Segato ax, S., Senyukov by, J., Seo k, S., Serci cg, E., Serradilla ba, A., Sevcenco cb, G., Shabratovaaq, R., Shahoyan f, N., Sharma e, S., Sharma av, K., Shigaki dd, M., Shimomura bu, K., Shtejer b, Y., Sibiriakm, M., Siciliano ah, E., Sickingf, T., Siemiarczukch, A., Silenzi o, D., Silvermyr ae, G., Simonetti f, R., Singarajui, R., Singh av, B. C., Sinha i, T., Sinha bf, B., Sitarbj, M., Sittaby, T. B., Skaali bh, K., Skjerdal a, R., Smakal ay, N., Smirnov d, R., Snellings az, C., Søgaard ar, A., Soloviev bd, R., Soltzde, H., Son c, M., Songcw, C., Soos f, F., Soramel ax, M., Spyropoulou Stassinaki cm, B. K., Srivastavadh, J., Stachel bl, I., Stan cb, G., Stefanekch, G., Stefanini f, T., Steinbeckv, E., Stenlundbt, G., Steynbm, D., Stocco aa, R., Stockab, M., Stolpovskiy bd, P., Strmenbj, A. A. P., Suaide cd, M. A., Subieta Vásquez ah, T., Sugitate dd, C., Suire bg, M., Šumbera c, T., Susa x, D., Swobodaf, T. J. M., Symons ct, A., Szanto de Toledocd, I., Szarkabj, A., Szostaka, C., Tagridis cm, J., Takahashi br, J. D., Tapia Takaki bg, A., Taurof, M., Tavletf, G., Tejeda Muñoz bx, A., Telesca f, C., Terrevoli r, J., Thäder, D., Thomasb, J. H., Thomas, R., Tieulent bq, A. R., Timmins at, D., Tlusty ay, A., Toia f, H., Torii dd, L., Toscano f, F., Tosello n, T., Traczykcn, D., Truesdale w, W. H., Trzaskaaf, A., Tumkinbk, R., Turrisi y, A. J., Turveybp, T. S., Tveterbh, J., Uleryab, K., Ullaland a, A., Urascg, J., Urbánbe, G. M., Urciuoli ci, G. L., Usai cg, A., Vacchi cl, M., Valaaq, L., Valencia Palomo bg, S., Vallero bl, N., van der Kolkaz, M., van Leeuwen b, P., Vande Vyvre f, L., Vannucci ca, A., Vargasbx, R., Varmacu, M., Vasileioucm, A., Vasilievm, V., Vechernin t, Venaruzzo, M., E., Vercellin ah, S., Vergara bx, R., Vernet di, M., Verweij b, L., Vickovic cp, G., Viesti ax, O., Vikhlyantsev bk, Z., Vilakazi bm, O., Villalobos Baillie an, A., Vinogradovm, L., Vinogradov t, Y., Vinogradov bk, T., Virgili ce, Y. P., Viyogi i, A., Vodopyanov aq, K., Voloshin l, S., Voloshin at, G., Volpe r, B., von Haller f, D., Vranic, J., Vrlákovábe, B., Vulpescu ak, B., Wagnera, V., Wagneray, R., Wan a, D., Wangbn, Y., Wangbl, Y., Wangbn, K., Watanabe bu, J. P., Wessels ap, U., Westerhoffap, J., Wiechula bl, J., Wiknebh, M., Wildeap, A., Wilk ap, G., Wilk ch, M. C. S., Williams z, B., Windelband bl, H., Yang aj, S., Yasnopolskiym, J., Yi dj, Z., Yinbn, H., Yokoyamabu, I. K., Yoo dj, X., Yuanbn, I., Yushmanovm, E., Zabrodin bh, C., Zampolli f, S., Zaporozhets aq, A., Zarochentsev t, P., Závadada, H., Zbroszczyk cn, P., Zelnicek v, A., Zeninbd, I., Zguracb, M., Zhalovau, X., Zhang bn, D., Zhoubn, X., Zhubn, A., Zichichi o, G., Zinovjev p, Y., Zoccarato bq, and M. Zynovyev, P.
Subjects: Heavy-ion collisions, Intensity interferometry, Pb-Pb, Nuclear Theory, Bose-Einstein, QUARK-GLUON PLASMA, ALICE, HBT, Femtoscopy, High Energy Physics::Experiment, LHC, Nuclear Experiment
Abstract: The first measurement of two-pion Bose–Einstein correlations in central Pb–Pb collisions at √sNN =2.76 TeV at the Large Hadron Collider is presented. We observe a growing trend with energy now not only for the longitudinal and the outward but also for the sideward pion source radius. The pion homogeneity volume and the decoupling time are significantly larger than those measured at RHIC.
Published: 2011

5. Location privacy and location-aware computing

Author: Drummond, J, Billen, R, Jo ao, E, Forrest, D, Duckham, M, Kulik, L, Drummond, J, Billen, R, Jo ao, E, Forrest, D, Duckham, M, and Kulik, L
Published: 2006

6. Plasma surface treatment and PACVD on Ti alloys for surgical implants

Author: Rie, K.-T., primary, Stucky, T., additional, Silva, R.A., additional, Leit≈ao, E., additional, Bordji, K., additional, Jouzeau, J.-Y., additional, and Mainard, D., additional
Published: 1995
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7. Continuous quality improvement in intensive care medicine. The GiViTI Margherita project - Report 2005

Author: Ffelli, S. a, Rossi, C. a, Anghileri, A. a, Giardino, M. a, Carnevale, L. b, Messina, M. c, Neri, M. d, Langer, M. e, Bertolini, G. a., Abastanotti, M. f, Alberti, A. g, Alborghetti, A. h, Angiolini, P. i, Anticoli, B. S. j, Archi, D. k, Arditi, E. l, Badii, F. m, Balata, A. n, Barattini, M. i, Barbagli, R. i, Bartoccini, A. o, Bartoli, T. p, Bassi, F. q, Beck, E. r, Belloni, U. G. s, Berardino, M. t, Bernasconi, M. O. u, Bianchin, A. v, Blasetti, A. w, Boccalatte, Rosa, D. x, Bonaccorso, G. y, Bonfà, A. z, Bonfiglio, Aa, M., Bonizzoli, M. i, Bottari, Ab, V., Breschi, Ac, C., Bressan, S. t, Brunori, Ad, E., Burgio, Ae, G., Buzzetti, Af, V., Cabano, G. V., Ag, Calicchio, Ah, G., Caracciolo, Ai, M., Casagli, Aj, S., Casagrande, Ak, L., Casciani, M. j, Castiglione, Al, G., Cavallo, R. t, Chiarello, Am, M., Chieregato, An, A., Chinelli, Ao, E., Chini, Ap, G., Clemente, Aq, S., Coaloa, Ar, M., Colombo, As, R., Colonna, S. S., At, Cominotti, Au, S., Corsini, Av, W., Constanzo, Aw, E., Crema, Ax, L., Crestan, Ay, E., Dal, Cero, Az, P., Dal, Ferro, Ba, M., Dal, Poggetto, Bb, L., Dal, Pos, Bc, L., David, Bd, A., Blasi, De, R. A. j., Luca, De, A. i., Negri, De, Be, P., Dei, Poli, Bf, M., Del, Sarto, Bg, P., Masi, Di, Bh, P., Pasquale, Di, Bi, D., Elvio, D. B., Bj, Fabbri, Bk, E., Fabbri, L. i, P. G., Ae, Fabi, M. C., Bl, Faccio, L. t, Falconio, Bm, A., Fasiolo, Bn, S., Febbrari, Bo, P., Ferrante, Bo, M., Ferraro, Bp, F., Fiore, Bq, G., Fontaneto, Br, C., Gabini, Bs, R., Galeotti, Bt, E., Gamberini, An, E., Garelli, Bu, A., Garofalo, Giacopuzzi, Bv, L., Gianni, Bw, M., Giannoni, Bx, S., Girardis, Massimo, Giudici, As, D., Giugiaro, P. M., Bz, Gorietti, Ca, A., Grassi, Cb, P., Boffelli, S, Rossi, C, Anghileri, A, Giardino, M, Carnevale, L, Messina, M, Neri, N, Langer, M, Bertolini G., for the GiViTI group, gruppo italiano per la valutazione degli interventi in terapia, Intensiva, and Ferraro, Fausto
Subjects: Adult, Aged, 80 and over, Male, Intensive Care Units, Quality, Gruppo Italiano per la Valutazione degli Interventi in Terapia Intensiva, Adolescent, Critical Care, adolescent, adult, aged, calibration, clinical assessment, clinical medicine, computer program, controlled study, data analysis, female, health care quality, health care system, hospital admission, human, information processing, intensive care unit, Italy, major clinical study, male, medical record, mortality, multivariate logistic regression analysis, parity, predictive validity, quantitative analysis, review, statistical significance, Middle Aged, Humans, Intensive care unit, Female, Child, Aged, Total Quality Management
Abstract: AIM: The assessment of the quality of intensive care medicine is mandatory in the modern healthcare system. In Italy, the GiViTI (Gruppo Italiano per la Valutazione degli Interventi in Terapia Intensiva) network is working in this field since 1991 and it now involves 295 out of the about 450 Italian intensive care units (ICU). In 2002 GiViTI launched a project for the continuous quality assessment and improvement that is now joined by 180 ICUs. Data collected in 2005 are analyzed and presented. METHODS: All admitted patients were entered in a validated software, which performs a multitude of validity checks during the data entry. Data were further reviewed by the co-ordinating center; patients admitted in months with more than 10% of incomplete or inconsistent records in each ICU were excluded from the analysis. Each year, a multivariate logistic regression model is fitted to identify predictors of hospital mortality. Starting from the SAPS 2 and the 2004 GiViTI model predictions of hospital mortality, two calibration tables and curves are presented. RESULTS: In 2005, 180 Italian ICUs collected data on 55 246 patients. After excluding those admitted in months with an unjustified lower recruitment rate or with less than 90% of complete and consistent data, we had 52 816 (95.6%) valid cases. Although the rough hospital mortality in 2005 was 1% higher than in 2004 (22.6% vs 21.5%), the adjusted mortality shows a statistically significant 4% reduction (obser-ved-to-expected ratio: 0.96; 95% CI: 0.94-0.97). CONCLUSIONS: Italian ICUs in 2005 performed better than in 2004, at a parity of patient severity.

8. Large-scale hydrologic and hydrodynamic modelling of the Amazon River basin

Author: Paiva, Rodrigo, Buarque, Diogo, Collischonn, Walter, Bonnet, Marie-Paule, Frappart, Frédéric, Calmant, Stéphane, Mendes, Carlos, Géosciences Environnement Toulouse (GET), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Instituto de Pesquisas Hidraulicas (IPH), Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), INSU EC2CO Cytrix, Projeto de Integrac ao e Cooperac ao Amazonica para a Modernizac ao do Monitoramento Hidrol ogico (ICA-MMH) - ANA et FINEP, Assimilac ao de Dados de monitoramento Espacial para a an alise do regime hidrol ogico da Bacia Amazonica e a previsao de curto e m edio prazos - CNPq, MHYZPA - INSU EC2CO Cytrix, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Abstract: International audience; In this paper, a hydrologic/hydrodynamic modeling of the Amazon River basin iscpresented using the MGB-IPH model with a validation using remotely sensed observations. Moreover, the sources of model errors by means of the validation and sensitivity tests are investigated, and the physical functioning of the Amazon basin is also explored. The MGBIPH is a physically based model resolving all land hydrological processes and here using a full 1-D river hydrodynamic module with a simple floodplain storage model. Riverfloodplain geometry parameters were extracted from the SRTM digital elevation model, and the model was forced using satellite-derived rainfall from TRMM3B42. Model results agree with observed in situ daily river discharges and water levels and with three complementary satellite-based products: (1) water levels derived from ENVISAT altimetry data; (2) a global data set of monthly inundation extent; and (3) monthly terrestrial water storage (TWS) anomalies derived from the Gravity Recovery and Climate Experimental mission. However, the model is sensitive to precipitation forcing and river-floodplain parameters. Most of the errors occur in westerly regions, possibly due to the poor quality of TRMM 3B42 rainfall data set in these mountainous and/or poorly monitored areas. In addition, uncertainty in river-floodplain geometry causes errors in simulated water levels and inundation extent, suggesting the need for improvement of parameter estimation methods. Finally, analyses of Amazon hydrological processes demonstrate that surface waters govern most of the Amazon TWS changes (56%), followed by soil water (27%) and ground water (8%). Moreover, floodplains play a major role in stream flow routing, although backwater effects are also important to delay and attenuate flood waves.
Published: 2013

9. Multi3Generation: Multitask, Multilingual, and Multimodal Language Generation.

Author: Lloret E, Barreiro A, Bhatt M, Bugarín-Diz A, Modoni GE, Silberztein M, Calixto I, Korvel G, Diamantaras K, Katsalis A, Turuta O, Russo I, and Erdem A
Abstract: The article emphasizes the critical importance of language generation today, particularly focusing on three key aspects: Multitasking, Multilinguality, and Multimodality, which are pivotal for the Natural Language Generation community. It delves into the activities conducted within the Multi3Generation COST Action (CA18231) and discusses current trends and future perspectives in language generation., Competing Interests: No competing interests were disclosed., (Copyright: © 2024 Lloret E et al.)
Published: 2024
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10. Poor timing and failure of source control are risk factors for mortality in critically ill patients with secondary peritonitis.

Author: De Pascale G, Antonelli M, Deschepper M, Arvaniti K, Blot K, Brown BC, de Lange D, De Waele J, Dikmen Y, Dimopoulos G, Eckmann C, Francois G, Girardis M, Koulenti D, Labeau S, Lipman J, Lipovetsky F, Maseda E, Montravers P, Mikstacki A, Paiva JA, Pereyra C, Rello J, Timsit JF, Vogelaers D, and Blot S
Subjects: Adult, Humans, Critical Illness, Intensive Care Units, Risk Factors, Anti-Bacterial Agents therapeutic use, Retrospective Studies, Sepsis complications, Peritonitis, Intraabdominal Infections, Anti-Infective Agents therapeutic use
Abstract: Purpose: To describe data on epidemiology, microbiology, clinical characteristics and outcome of adult patients admitted in the intensive care unit (ICU) with secondary peritonitis, with special emphasis on antimicrobial therapy and source control., Methods: Post hoc analysis of a multicenter observational study (Abdominal Sepsis Study, AbSeS) including 2621 adult ICU patients with intra-abdominal infection in 306 ICUs from 42 countries. Time-till-source control intervention was calculated as from time of diagnosis and classified into 'emergency' (< 2 h), 'urgent' (2-6 h), and 'delayed' (> 6 h). Relationships were assessed by logistic regression analysis and reported as odds ratios (OR) and 95% confidence interval (CI)., Results: The cohort included 1077 cases of microbiologically confirmed secondary peritonitis. Mortality was 29.7%. The rate of appropriate empiric therapy showed no difference between survivors and non-survivors (66.4% vs. 61.3%, p = 0.1). A stepwise increase in mortality was observed with increasing Sequential Organ Failure Assessment (SOFA) scores (19.6% for a value ≤ 4-55.4% for a value > 12, p < 0.001). The highest odds of death were associated with septic shock (OR 3.08 [1.42-7.00]), late-onset hospital-acquired peritonitis (OR 1.71 [1.16-2.52]) and failed source control evidenced by persistent inflammation at day 7 (OR 5.71 [3.99-8.18]). Compared with 'emergency' source control intervention (< 2 h of diagnosis), 'urgent' source control was the only modifiable covariate associated with lower odds of mortality (OR 0.50 [0.34-0.73])., Conclusion: 'Urgent' and successful source control was associated with improved odds of survival. Appropriateness of empirical antimicrobial treatment did not significantly affect survival suggesting that source control is more determinative for outcome., (© 2022. Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2022
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11. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19.

Author: Saraiva EF, Sauer L, and Pereira CAB
Abstract: In this paper, we propose a hierarchical Bayesian approach for modeling the evolution of the 7-day moving average for the number of deaths due to COVID-19 in a country, state or city. The proposed approach is based on a Gaussian process regression model. The main advantage of this model is that it assumes that a nonlinear function f used for modeling the observed data is an unknown random parameter in opposite to usual approaches that set up f as being a known mathematical function. This assumption allows the development of a Bayesian approach with a Gaussian process prior over f . In order to estimate the parameters of interest, we develop an MCMC algorithm based on the Metropolis-within-Gibbs sampling algorithm. We also present a procedure for making predictions. The proposed method is illustrated in a case study, in which, we model the 7-day moving average for the number of deaths recorded in the state of São Paulo, Brazil. Results obtained show that the proposed method is very effective in modeling and predicting the values of the 7-day moving average., Competing Interests: No potential conflict of interest was reported by the author(s)., (© 2022 Informa UK Limited, trading as Taylor & Francis Group.)
Published: 2022
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12. Observation of B 0 → ψ (2S)K S 0 π + π - and B s 0 → ψ (2S)K S 0 decays.

Author: Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Valle AED, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Paulitsch P, Pitters FM, Schieck J, Schöfbeck R, Schwarz D, Templ S, Waltenberger W, Wulz CE, Chekhovsky V, Litomin A, Makarenko V, Darwish MR, De Wolf EA, Janssen T, Kello T, Lelek A, Sfar HR, Mechelen PV, Putte SV, Remortel NV, Bols ES, D'Hondt J, De Moor A, Delcourt M, Faham HE, Lowette S, Moortgat S, Morton A, Müller D, Sahasransu AR, Tavernier S, Doninck WV, Vannerom D, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Favart L, Kalsi AK, Lee K, Mahdavikhorrami M, Makarenko I, Moureaux L, Paredes S, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Bemden MV, Velde CV, Vanlaer P, Cornelis T, Dobur D, Knolle J, Lambrecht L, Mestdach G, Niedziela M, Rendón C, Roskas C, Samalan A, Skovpen K, Tytgat M, Vermassen B, Wezenbeek L, Benecke A, Bethani A, Bruno G, Bury F, Caputo C, David P, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Tran TT, Vischia P, Wertz S, Alves GA, Hensel C, Moraes A, Teles PR, Júnior WLA, Pereira MAG, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Sousa VDS, De Souza SF, Herrera CM, Amarilo KM, Mundim L, Nogima H, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva De Araujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Cheng T, Javaid T, Mittal M, Yuan L, Ahmad M, Bauer G, Dozen C, Hu Z, Martins J, Wang Y, Yi K, Chapon E, Chen GM, Chen HS, Chen M, Iemmi F, Kapoor A, Leggat D, Liao H, Liu ZA, Milosevic V, Monti F, Sharma R, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhao J, Agapitos A, An Y, Ban Y, Chen C, Levin A, Li Q, 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Vaandering EW, Weber HA, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Field RD, Guerrero D, Kim M, Koenig E, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Wu Z, Yigitbasi E, Zuo X, Adams T, Askew A, Habibullah R, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Viazlo O, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Verma RK, Noonan D, Rahmani M, Yumiceva F, Adams MR, Gonzalez HB, Cavanaugh R, Dittmer S, Evdokimov O, Gerber CE, Hofman DJ, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Viinikainen J, Wang X, Ye Z, Alhusseini M, Dilsiz K, Emediato L, Gandrajula RP, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kyriacou S, Maksimovic P, Roskes J, Swartz M, Vámi TÁ, Abreu A, Anguiano J, Barrera CB, Baringer P, Bean A, Flowers Z, Isidori T, Khalil S, King J, Krintiras G, Kropivnitskaya A, Lazarovits M, Mahieu CL, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Schmitz E, Smith C, Wang Q, Warner Z, Williams J, Wilson G, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Seidel M, Skuja A, Wang L, Wong K, Abercrombie D, Andreassi G, Bi R, Busza W, Cali IA, Chen Y, D'Alfonso M, Eysermans J, Freer C, Ceballos GG, Goncharov M, Harris P, Hu M, Klute M, Kovalskyi D, Krupa J, Lee YJ, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Chatterjee RM, Evans A, Hiltbrand J, Jain S, Joshi BM, Krohn M, Kubota Y, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Bloom K, Bryson M, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Hortiangtham A, Krishna A, Li J, Lidrych J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Cremonesi M, Das A, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton D, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Ruchti R, Townsend A, Wayne M, Zarucki M, Zygala L, Bylsma B, Durkin LS, Francis B, Hill C, Ornelas MN, Wei K, Winer BL, Yates BR, Addesa FM, Bonham B, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Marlow D, Mei K, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Norberg S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Acosta D, Baty A, Carnahan T, Decaro M, Dildick S, Ecklund KM, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Rotter J, Shi W, Leiton AGS, Yang S, Zhang L, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Onsem GPV, Goulianos K, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cardwell B, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Lara CEP, Tannenwald B, White S, Poudyal N, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Mohammadi A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, and Vetens W
Abstract: Using a data sample of s = 13 TeV proton-proton collisions collected by the CMS experiment at the LHC in 2017 and 2018 with an integrated luminosity of 103 fb - 1 , the B s 0 → ψ ( 2S ) K S 0 and B 0 → ψ ( 2S ) K S 0 π + π - decays are observed with significances exceeding 5 standard deviations. The resulting branching fraction ratios, measured for the first time, correspond to B ( B s 0 → ψ ( 2S ) K S 0 ) / B ( B 0 → ψ ( 2S ) K S 0 ) = ( 3.33 ± 0.69 ( stat ) ± 0.11 ( syst ) ± 0.34 ( f s / f d ) ) × 10 - 2 and B ( B 0 → ψ ( 2S ) K S 0 π + π - ) / B ( B 0 → ψ ( 2S ) K S 0 ) = 0.480 ± 0.013 ( stat ) ± 0.032 ( syst ) , where the last uncertainty in the first ratio is related to the uncertainty in the ratio of production cross sections of B s 0 and B 0 mesons, f s / f d ., Competing Interests: Conflict of interestThe authors declare that they have no conflict of interest., (© The Author(s) 2022.)
Published: 2022
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13. Portuguese crypto-Jews: the genetic heritage of a complex history.

Author: Nogueiro I, Teixeira JC, Amorim A, Gusmão L, and Alvarez L
Abstract: The first documents mentioning Jewish people in Iberia are from the Visigothic period. It was also in this period that the first documented anti-Judaic persecution took place. Other episodes of persecution would happen again and again during the long troubled history of the Jewish people in Iberia and culminated with the Decrees of Expulsion and the establishment of the Inquisition: some Jews converted to Catholicism while others resisted and were forcedly baptized, becoming the first Iberian Crypto-Jews. In the 18th century the official discrimination and persecution carried out by the Inquisition ended and several Jewish communities emerged in Portugal. From a populational genetics point of view, the worldwide Diaspora of contemporary Jewish communities has been intensely studied. Nevertheless, very little information is available concerning Sephardic and Iberian Crypto-Jewish descendants. Data from the Iberian Peninsula, the original geographic source of Sephardic Jews, is limited to two populations in Portugal, Belmonte, and Bragança district, and the Chueta community from Mallorca. Belmonte was the first Jewish community studied for uniparental markers. The construction of a reference model for the history of the Portuguese Jewish communities, in which the genetic and classical historical data interplay dynamically, is still ongoing. Recently an enlarged sample covering a wide region in the Northeast Portugal was undertaken, allowing the genetic profiling of male and female lineages. A Jewish specific shared female lineage (HV0b) was detected between the community of Belmonte and Bragança. In contrast to what was previously described as a hallmark of the Portuguese Jews, an unexpectedly high polymorphism of lineages was found in Bragança, showing a surprising resistance to the erosion of genetic diversity typical of small-sized isolate populations, as well as signs of admixture with the Portuguese host population.
Published: 2015
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14. Better methods to collect self-reported alcohol and other drug use data from Aboriginal and Torres Strait Islander Australians.

Author: Lee KS, Chikritzhs T, Wilson S, Wilkes Ao E, Gray D, Room R, and Conigrave KM
Subjects: Australia epidemiology, Health Services, Indigenous organization & administration, Humans, Native Hawaiian or Other Pacific Islander, Self Report, Alcohol Drinking epidemiology, Data Collection methods, Substance-Related Disorders epidemiology
Published: 2014
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15. Knowledge and attitudes about cancer pain management: a national survey of Italian oncology nurses.

Author: Bernardi M, Catania G, Lambert A, Tridello G, and Luzzani M
Subjects: Adult, Clinical Competence, Education, Nursing, Baccalaureate, Education, Nursing, Continuing, Education, Nursing, Diploma Programs, Female, Health Services Needs and Demand, Humans, Italy, Male, Middle Aged, Neoplasms nursing, Nursing Assessment methods, Nursing Education Research, Nursing Methodology Research, Pain diagnosis, Pain etiology, Pain Measurement methods, Pain Measurement nursing, Regression Analysis, Self-Assessment, Surveys and Questionnaires, Attitude of Health Personnel, Health Knowledge, Attitudes, Practice, Neoplasms complications, Nursing Staff, Hospital education, Nursing Staff, Hospital psychology, Oncology Nursing education, Oncology Nursing methods, Pain prevention & control
Abstract: The purpose of this study was to obtain information about the knowledge and attitudes of Italian oncology nurses concerning cancer pain management and to determine the predictors of nurses' pain management knowledge. The study was a nationwide descriptive survey and included 287 nurses in Italy from 21 oncology wards in the north, center and south of Italy. The Nurses' Knowledge and Attitudes Survey (Italian version) and a background information form were used to collect the data. Knowledge and attitudes regarding cancer pain were the main research variables. Among the 39 pain knowledge questions assessed, the mean number of correctly answered question was 21.4 (SD=5.5), with a range of 6-35. The correct answer rate for the entire scale, on average, was 55% (SD=25.9). Further analysis of items showed that more than 50% of oncology nurses underestimated the patients' pain and they did not treat it in the correct way; they also had an incorrect self-evaluation about their pain management knowledge. Results from stepwise regression showed that nurses with higher mean correct answer scores had attended more courses about pain education. There are still significant knowledge deficits and erroneous beliefs that may hamper treatment of oncology patients in pain. The results of this study could be useful to institutions involved in patient care and teaching of pain management.
Published: 2007
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16. c-KIT and PDGFRA in breast phyllodes tumours: overexpression without mutations?

Author: Carvalho S, e Silva AO, Milanezi F, Ricardo S, Leitão D, Amendoeira I, and Schmitt FC
Subjects: Biomarkers, Tumor genetics, Breast Neoplasms metabolism, DNA Mutational Analysis, Female, Gene Expression Regulation, Neoplastic, Humans, Immunohistochemistry methods, Phyllodes Tumor metabolism, Proto-Oncogene Proteins c-kit genetics, Receptor, Platelet-Derived Growth Factor alpha genetics, Biomarkers, Tumor analysis, Breast Neoplasms chemistry, Phyllodes Tumor chemistry, Proto-Oncogene Proteins c-kit analysis, Receptor, Platelet-Derived Growth Factor alpha analysis
Abstract: Aim: To study the immunoexpression and mutational status of c-KIT and PDGFRA in a series of benign and malignant phyllodes tumours of the breast., Material/methods: Nineteen phyllodes tumours (13 benign and six malignant) were analysed by immunohistochemistry for the expression of c-KIT and PDGFRA. Direct sequencing of exons 9, 11, 13, and 17 of the c-KIT gene and exons 12 and 18 of PDGFRA was performed to check the mutational status of these two genes., Results: c-KIT expression was found in 12 of the 19 cases (six of the 13 benign cases and all six malignant ones) and PDGFRA expression was seen in two of the 19 cases (one benign and one malignant case); the 2415 C>T alteration in exon 17 of the c-KIT gene was found in two cases (both benign); the intronic insertion IVS17-50insT and the 2866 G>T alteration in the coding region of exon 18 of the PDGFRA gene were also found in two cases (one malignant and one benign). However, the activating mutations described for these genes in gastrointestinal stromal tumours were not present., Conclusion: c-KIT expression is a frequent finding in phyllodes tumours, particularly in malignant cases; however, no activating mutations similar to those described for gastrointestinal stromal tumours were found. The PDGFRA does not seem to be an alternative pathway to tumour development in phyllodes tumours because neither expression nor activating mutations were noteworthy.
Published: 2004
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1. Implications of the UN Common Agenda for Australia: Renewing Multilateralism

2. Evaluation of the performance of Dutch Lipid Clinic Network score in an Italian FH population: The LIPIGEN study

3. Suppression of Prolactin Secretion Partially Explains the Antidiabetic Effect of Bromocriptine in ob/ob Mice.

4. Two-pion Bose–Einstein correlations in central Pb–Pb collisions at √sNN = 2.76 TeV

5. Location privacy and location-aware computing

6. Plasma surface treatment and PACVD on Ti alloys for surgical implants

7. Continuous quality improvement in intensive care medicine. The GiViTI Margherita project - Report 2005

8. Large-scale hydrologic and hydrodynamic modelling of the Amazon River basin

9. Multi3Generation: Multitask, Multilingual, and Multimodal Language Generation.

10. Poor timing and failure of source control are risk factors for mortality in critically ill patients with secondary peritonitis.

11. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19.

12. Observation of B 0 → ψ (2S)K S 0 π + π - and B s 0 → ψ (2S)K S 0 decays.

13. Portuguese crypto-Jews: the genetic heritage of a complex history.

14. Better methods to collect self-reported alcohol and other drug use data from Aboriginal and Torres Strait Islander Australians.

15. Knowledge and attitudes about cancer pain management: a national survey of Italian oncology nurses.

16. c-KIT and PDGFRA in breast phyllodes tumours: overexpression without mutations?

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