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1. Protective role of SARS-CoV-2 anti-S IgG against breakthrough infections among European healthcare workers during pre and post-Omicron surge—ORCHESTRA project

Author

Spiteri, Gianluca, D’Agostini, Marika, Abedini, Mahsa, Ditano, Giorgia, Collatuzzo, Giulia, Boffetta, Paolo, Vimercati, Luigi, Sansone, Emanuele, De Palma, Giuseppe, Modenese, Alberto, Gobba, Fabriziomaria, Liviero, Filippo, Moretto, Angelo, dell’Omo, Marco, Fiordi, Tiziana, Larese Filon, Francesca, Mauro, Marcella, Violán, Concepción, Mates, Dana, Oravec Bérešová, Jana, Monaco, Maria Grazia Lourdes, Carta, Angela, Verlato, Giuseppe, and Porru, Stefano

Published
2024
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4. The LHCb upgrade I

Author

LHCb collaboration, Aaij, R., Abdelmotteleb, A. S. W., Beteta, C. Abellan, Abudinén, F., Achard, C., Ackernley, T., Adeva, B., Adinolfi, M., Adlarson, P., Afsharnia, H., Agapopoulou, C., Aidala, C. A., Ajaltouni, Z., Akar, S., Akiba, K., Albicocco, P., Albrecht, J., Alessio, F., Alexander, M., Albero, A. Alfonso, Aliouche, Z., Cartelle, P. Alvarez, Amalric, R., Amato, S., Amey, J. L., Amhis, Y., An, L., Anderlini, L., Andersson, M., Andreani, A., Andreianov, A., Andreotti, M., Andreou, D., Andrews, J. E., Anelli, M., Anjam, A., Ao, D., Archilli, F., Arnaud, K., Artamonov, A., Artuso, M., Ashby, J., Aslanides, E., Atzeni, M., Audurier, B., Rocha, D. Ayres, Perea, I. B Bachiller, Bachmann, S., Bachmayer, M., Back, J. J., Bailly-reyre, A., Rodriguez, P. Baladron, Balagura, V., Balbi, G., Baldini, W., Balla, A., Baltazar, M., Band, H., Leite, J. Baptista de Souza, Barbetti, M., Barclay, P., Barlow, R. J., Barsuk, S., Barter, W., Bartolini, M., Baryshnikov, F., Basels, J. M., Bassi, G., Baszczyk, M., Lopes, J. C. Batista, Batsukh, B., Battig, A., Bay, A., Beck, A., Becker, M., Bedeschi, F., Bediaga, I. B., Beigbeder-Beau, C., Beiter, A., Belin, S., Bellee, V., Belous, K., Belov, I., Belyaev, I., Benane, G., Bencivenni, G., Benettoni, M., Ben-Haim, E., Berezhnoy, A., Bernard, F., Bernet, R., Andres, S. Bernet, Berninghoff, D., Bernstein, H. C., Bertella, C., Bertolin, A., Betancourt, C., Betti, F., Bezshyiko, Ia., Bezshyyko, O., Bhasin, S., Bhom, J., Bian, L., Bieker, M. S., Biesuz, N. V., Billoir, P., Biolchini, A., Birch, M., Bishop, F. C. R., Bitadze, A., Bizzeti, A., Blago, M. P., Blake, T., Blanc, F., Blank, J. E., Blusk, S., Bobulska, D., Bochin, B., Boelhauve, J. A., Garcia, O. Boente, Boettcher, T., Bogdanova, G., Boiaryntseva, I., Boldyrev, A., Bolognani, C. S., Bolzonella, R., Bondar, N., Booth, M. J., Borgato, F., Borghi, S., Borsato, M., Borsuk, J. T., Boterenbrood, H., Bouchiba, S. A., Bowcock, T. J. V., Boyaryntsev, A., Boyer, A., Bozzi, C., Bradley, M. J., Braun, S., Rodriguez, A. Brea, Bregliozzi, G., Bridges, K., Briere, M. M. J., Brock, M., Brodski, M., Brodzicka, J., Gonzalo, A. Brossa, Brown, C., Brown, J., Brummitt, A. J., Brundu, D., Brunetti, L., Buda, L., Buonaura, A., Buonincontri, L., Burke, A. T., Burmistrov, L., Burr, C., Bursche, A., Butkevich, A., Butter, J. S., Buytaert, J., Byczynski, W., Cachemiche, J. P., Cadeddu, S., Cai, H., Caillet, A., Calabrese, R., Calefice, L., Calegari, D., Cali, S., Calvi, M., Gomez, M. Calvo, Campana, P., Perez, D. H. Campora, Quezada, A. F. Campoverde, Canfer, S., Capelli, S., Capriotti, L., Carassiti, V., Carbone, A., Cardinale, R., Cardini, A., Carletti, M., Carniti, P., Carroll, J., Carus, L., Vidal, A. Casais, Caspary, R., Casse, G., Cattaneo, M., Cavallero, G., Cavallini, V., Ceelie, L., Celani, S., Cerasoli, J., Cervenkov, D., Cesare, S., Chadaj, B., Chadwick, A. J., Chahrour, I., Chanal, H., Chapman, M. G., Charles, M., Charpentier, Ph., Chaumat, V. J., Barajas, C. A. Chavez, Chefdeville, M., Chen, C., Chen, S., Chernov, A., Chernov, E., Chernyshenko, S., Chiozzi, S., Chobanova, V., Cholak, S., Chrzaszcz, M., Chubykin, A., Chulikov, V., Ciambrone, P., Cicala, M. F., Vidal, X. Cid, Ciezarek, G., Cifra, P., Citterio, M., Ciullo, G., Clark, K., Clarke, P. E. L., Clemencic, M., Cliff, H. V., Closier, J., Cobbledick, J. L., Coco, V., Coelli, S., Cogan, J., Cogneras, E., Cojocariu, L., Collins, P., Colombo, T., Congedo, L., Conti, N., Contu, A., Cooke, N., Corredoira, I., Corti, G., Ramusino, A. Cotta, Couturier, B., Cowan, G. A., Craik, D. C., Torres, M. Cruz, Currie, R., Da Silva, C. L., Dadabaev, S., Dai, L., Dai, X., Dall'Occo, E., Dalseno, J., D'Ambrosio, C., Damen, A., Daniel, J., Danilina, A., d'Argent, P., Daudon, F., Davies, J. E., Davis, A., Davis, J., Francisco, O. De Aguiar, De Benedetti, F., de Boer, J., De Bruyn, K., De Capua, S., De Cian, M., Da Graca, U. De Freitas Carneiro, De Lucia, E., De Miranda, J. M., de Oliveira, R., De Paula, L., De Roo, K., De Serio, M., De Simone, D., De Simone, P., De Vellis, F., de Vries, J. A., De Wit, E., Dean, C. T., Debernardis, F., Decamp, D., Deckenhoff, M., Dedu, V., Del Buono, L., Delaney, B., Dembinski, H. -P., Denis, C., Denysenko, V., Deschamps, O., Dettori, F., Dey, B., Di Bari, D., Di Nezza, P., Diachkov, I., Didenko, S., Maronas, L. Dieste, Dijkstra, H., Ding, S., Dobishuk, V., Doets, M., Doherty, F., Dolmatov, A., Domke, M., Dong, C., Donohoe, A. M., Dordei, F., Dorosz, P., Reis, A. C. dos, Douglas, L., Downes, A. G., Duarte, O., Duda, P., Dudek, M. W., Dufour, L., Duk, V., Dumps, R., Durante, P., Duras, M. M., Durham, J. M., Dutta, D., Duval, P. Y., Dziewiecki, M., Dziurda, A., Dzyuba, A., Easo, S., Egede, U., Egorychev, V., Orro, C. Eirea, Eisenhardt, S., Ejopu, E., Ekelhof, R., Ek-In, S., Eklund, L., Elashri, M. E, Ellbracht, J., Elvin, A., Ely, S., Ene, A., Epple, E., Escher, S., Eschle, J., Esen, S., Evans, T., Fabiano, F., Falcao, L. N., Fan, Y., Fang, B., Fantini, L., Faria, M., Farry, S., Fazzini, D., Felkowski, L. F, Feo, M., Declara, P. Fernandez, Gomez, M. Fernandez, Fernez, A. D., Ferrari, F., Ferreira, R., Lopes, L. Ferreira, Rodrigues, F. Ferreira, Sole, S. Ferreres, Ferrillo, M., Ferro-Luzzi, M., Filippov, S., Fini, R. A., Fiorini, M., Firlej, M., Fischer, K. M., Fitzgerald, D. S., Fitzpatrick, C., Fiutowski, T., Fleuret, F., Flores, L., Fontana, M., Fontanelli, F., Forty, R., Foulds-Holt, D., Fournier, C., Lima, V. Franco, Sevilla, M. Franco, Frank, M., Franzoso, E., Frau, G., Freestone, J., Frei, C., Frei, R., Frelier, J., Friday, D. A., Frontini, L. F, Fu, J., Fuehring, Q., Fulghesu, T., Fuzipeg, C., Gabriel, E., Galati, G., Galati, M. D., Galka, M., Torreira, A. Gallas, Galli, D., Gallorini, S., Gambetta, S., Gan, Y., Gandelman, M., Gandini, P., Gao, R., Gao, Y., Garau, M., Martin, L. M. Garcia, Moreno, P. Garcia, Pardiñas, J. García, Plana, B. Garcia, Rosales, F. A. Garcia, Garrido, L., Garroum, N., Garsed, P. J., Gascon, D., Gaspar, C., Gasq, C., Gatta, M., Gavardi, L., Gebolis, P. M., Geertsema, R. E., Gerick, D., Gerken, L. L., Germann, D., Gersabeck, E., Gersabeck, M., Gershon, T., Getz, S. A., Giambastiani, L., Gibson, V., Giemza, H. K., Gilman, A. L., Giovannetti, M., Gioventù, A., Girard, O. G., Gironell, P. Gironella, Giugliano, C., Giza, M. A., Gizdov, K., Gkougkousis, E. L., Gligorov, V. V., Göbel, C., Golinka-Bezshyyko, L., Golobardes, E., Golubkov, D., Golutvin, A., Gomes, A., Fernandez, S. Gomez, Abrantes, F. Goncalves, Goncerz, M., Gong, G., Gorelov, I. V., Gotti, C., Grabowski, J. P., Grammatico, T., Cardoso, L. A. Granado, Grant, F., Graugés, E., Graverini, E., Graziani, G., Grecu, A. T., Greeven, L. M., Greim, R., Grieser, N. A., Grillo, L., Gromov, S., Gromov, V., Grub, N., Cazon, B. R. Gruberg, Grynyov, B., Gu, C., Guarise, M., Guerin, S., Guittiere, M., Günther, P. A., Gushchin, E., Guth, A., Guz, Y., Gys, T., Hachon, F., Hadavizadeh, T., Hadjivasiliou, C., Haefeli, G., Haen, C., Haimberger, J., Haines, S. C., Halewood-leagas, T., Halvorsen, M. M., Hamilton, P. M., Hammerich, J., Hamrat, S., Han, Q., Han, X., Hansen, E. B., Hansmann-Menzemer, S., Hao, L., Harnew, N., Harrison, T., Hasse, C., Hatch, M., He, J., Heijhoff, K., Hemmer, F. H, Henderson, C., Henderson, R. D. L., Hennequin, A. M., Hennessy, K., Henry, L., Herd, J., Herold, T., Heuel, J., Hicheur, A., Hill, D., Hilton, M., Hoft, G. T., Hollitt, S. E., Hopchev, P. H., Hornberger, O., Horswill, J., Hou, R., Hou, Y., Hu, J., Hu, W., Hu, X., Huang, W., Huang, X., Hulsbergen, W., Hummel, S., Hunter, R. J., Hushchyn, M., Hutanu, O. E., Hutchcroft, D., Hynds, D., Ibis, P., Idzik, M., Ilin, D., Ilten, P., Inglessi, A., Iniukhin, A., Insa, C., Ishteev, A., Ivshin, K., Jacobsson, R., Jage, H., Elles, S. J. Jaimes, Jakobsen, S., Jamet, O., Jans, E., Jashal, B. K., Jaspers, M., Jawahery, A., Jevaud, M., Jevtic, V., Jiang, E., Jiang, X., Jiang, Y., John, D., John, M., Johnson, D., Jones, C. R., Jones, T. P., Jost, B., Jurik, N., Juszczak, I., Kandybei, S., Kang, Y., Karacson, M., Kariuki, J. M., Karpenkov, D., Karpinski, W., Karpov, M., Kaufmann, K., Kautz, J. W., Kayzel, F., Keizer, F., Keller, D. M., Kenzie, M., Ketel, T., Khanji, B., Kharisova, A., Kholodenko, S., Khreich, G., Kirn, T., Kirsebom, V. S., Kitouni, O., Klaver, S., Kleijne, N., Klimaszewski, K., Kmiec, M. R., Kok, H., Koliiev, S., Kolk, L., Kondybayeva, A., Konoplyannikov, A., Kopciewicz, P., Kopecna, R., Koppenburg, P., Korolev, M., Kos, J., Kostiuk, I., Kot, O., Kotriakhova, S., Kozachuk, A., Kozlov, V. S., Kraan, M., Kravchenko, P., Kravchuk, L., Krawczyk, R. D., Kreps, M., Kretzschmar, S., Krokovny, P., Krupa, W., Krzemien, W., Kubat, J., Kubis, S., Kucewicz, W., Kucharczyk, M., Kudryavtsev, V., Kuhlman, A., Kuilman, W. C., Kulikova, E. K, Kuonen, A. K., Kupfer, N., Kupsc, A., Kvaratskheliya, T., Lacarrere, D., Lafferty, G., Lai, A., Lampis, A., Lancierini, D., Gomez, C. Landesa, Lane, J. J., Lane, R., Langenbruch, C., Langer, J., Langstaff, M., Lantwin, O., Latham, T., Lazzari, F., Lazzaroni, M., Dortz, O. Le, Gac, R. Le, Lee, S. H., Lefèvre, R., Leflat, A., Legotin, S., Lemaitre, F., Lenisa, P., Leroy, O., Lesiak, T., Leverington, B., Li, A., Li, H., Li, K., Li, P., Li, P. -R., Li, S., Li, T., Li, Y., Li, Z., Liang, X., Lieunard, B., Lin, C., Lin, T., Lindner, R., Lisovskyi, V., Litvinov, R., Liu, G., Liu, H., Liu, Q., Liu, S., Salvia, A. Lobo, Loi, A., Lollini, R., Castro, J. Lomba, Longstaff, I., Lopes, J. H., Huertas, A. Lopez, Soliño, S. López, Louis, D., Lovell, G. H., Loveridge, P., Lowe, A. D., Lu, Y., Lucarelli, C., Lucchesi, D., Luchuk, S., Martinez, M. Lucio, Lukashenko, V., Lukianov, A., Luo, H., Luo, Y., Lupato, A., Luppi, E., Lupton, O., Lusiani, A., Lutz, L. F., Lynch, K., Lyu, X. -R., Ma, R., Maccolini, S., Machefert, F., Maciuc, F., Mackay, I., Macko, V., Mackowiak, P., Maddrell-Mander, S., Mohan, L. R. Madhan, Maevskiy, A., Magne, M., Maisuzenko, D., Majewski, M. W., Malaguti, R., Malczewski, J. J., Malde, S., Malecki, B., Malinin, A., Malkinski, K., Maltsev, T., Manca, G., Mancinelli, G., Mancuso, C., Escalero, R. Manera, Manuzzi, D., Manzari, C. A., Marangotto, D., Marchand, J. F., Marconi, U., Mariani, S., Benito, C. Marin, Marks, J., Marshall, A. M., Marshall, P. J., Martelli, G., Martellotti, G., Martinazzoli, L., Martinelli, M., Santos, D. Martinez, Vidal, F. Martinez, Masic, B., Massafferri, A., Materok, M., Matev, R., Mathad, A., Mathe, Z., Matiunin, V., Matteuzzi, C., Mattioli, K. R., Mauri, A., Maurice, E., Mauricio, J., de Cos, J. Mazorra, Mazurek, M., McCann, M., Mcconnell, L., McGrath, T. H., McHugh, N. T., McNab, A., McNulty, R., Mead, J. V., Meadows, B., Meier, G., Meier-villardita, L., Melnychuk, D., Meloni, S., Merk, M., Merli, A., Meunier, J. L., Garcia, L. Meyer, Miao, D., Mikhasenko, M., Milanes, D. A., Millard, E., Miller, G., Milovanovic, M., Minard, M. -N., Minotti, A., Minutoli, S., Miralles, T., Mitchell, S. E., Mitreska, B., Mittelstaedt, T., Mitzel, D. S., Mödden, A., Modenese, L., Mogini, A., Mohammed, R. A., Moise, R. D., Mokhnenko, S., Mombächer, T., Monk, M., Monroy, I. A., Monteil, S., Monti, M., Morandin, M., Morello, G., Morello, M. J., Morgenthaler, M. P., Moron, J., Morris, A. B., Morris, A. G., Mountain, R., Mu, H., Muhammad, E., Muheim, F., Mulder, M., Muley, S., Müller, D., Müller, K., Munneke, B., Murphy, C. H., Murray, D., Murta, R., Muzzetto, P., Naik, P., Naik, S. A., Nakada, T., Nandakumar, R., Nanut, T., Nasteva, I., Nazarov, E., Needham, M., Neri, I., Neri, N., Neubert, S., Neufeld, N., Neustroev, P., Newcombe, R., Trung, T. Nguyen, Nicolini, J., Nicotra, D., Niel, E. M., Nieswand, S., Nikitin, N., Nolte, N. S., Normand, C., Fernandez, J. Novoa, Nowak, G. N, Nunez, C., O'Bannon, T., Oblakowska-Mucha, A., Obraztsov, V., O'Dell, J., Oeser, T., Okamura, S., Oldeman, R., Oliva, F., Olive, P., Onderwater, C. J. G., O'Neil, R. H., Orlov, V., Goicochea, J. M. Otalora, Ovsiannikova, T., Owen, P., Oyanguren, A., Ozcelik, O., Padeken, K. O., Pagare, B., Pais, P. R., Pajero, T., Palano, A., Palutan, M., Pan, Y., Panshin, G., Paoletti, E., Paolucci, L., Papanestis, A., Pappagallo, M., Pappalardo, L. L., Pappenheimer, C., Parker, W., Parkes, C., Pasquali, L., Passalacqua, B., Passaleva, G., Pastore, A., Patel, M., Patrignani, C., Pavlenko, D., Pawley, C. J., Pearce, A., Regales, M. D. P. Peco, Pellegrino, A., Peltier, F., Altarelli, M. Pepe, Perazzini, S., Pereima, D., Castro, A. Pereiro, Perret, P., Perro, A., Perry, M., Pessina, G., Petridis, K., Petrolini, A., Petrucci, S., Petruzzo, M., Pham, H., Philippov, A., Piandani, R., Pica, L., Olloqui, E. Picatoste, Piccini, M., Piedigrossi, D., Pietrzyk, B., Pietrzyk, G., Pili, M., Pillet, N., Pilorz, E. M., Pinci, D., Pisani, F., Pizzichemi, M., Placinta, V., Plews, J., Casasus, M. Plo, Polci, F., Lener, M. Poli, Poluektov, A., Polukhina, N., Polyakov, I., Polyakov, V., Polycarpo, E., Pomery, G. J., Ponce, S., Pons, X., Poplawski, K., Popov, D., Poslavskii, S., Prasanth, K., Pratt, D., Promberger, L., Prouve, C., Pugatch, V., Puill, V., Punzi, G., Qi, H. R., Qian, W., Qin, N., Qu, S., Quagliani, R., Raab, N. V., Rachwal, B., Rademacker, J. H., Rajagopalan, R., Rama, M., Ramaherison, J. J., Pernas, M. Ramos, Rangel, M. S., Ratnikov, F., Raven, G., De Miguel, M. Rebollo, Redi, F., Reich, J., Reiss, F., Alepuz, C. Remon, Ren, Z., Resmi, P. K., Rethore, F., Reynet, D., Ribatti, R., Ricci, A. M., Ricciardi, S., Richards, D. S., Richardson, K., Richardson-Slipper, M., Riedinger, J., Rinnert, K., Robbe, P., Robertson, G., Rochet, J., Rodrigues, A. B., Rodrigues, E., Fernandez, E. Rodriguez, Lopez, J. A. Rodriguez, Perez, P. Rodriguez, Rodriguez, E. Rodriguez, Roeland, E., Rolf, D. L., Rollings, A., Roloff, P., Romanovskiy, V., Lamas, M. Romero, Vidal, A. Romero, Rosier, P., Roth, J. D., Rotondo, M., Rovekamp, J., Roy, L., Rudnyckyj, F., Rudolph, M. S., Ruf, T., Fernandez, R. A. Ruiz, Vidal, J. Ruiz, Ryzhikov, A., Ryzka, J., Silva, J. J. Saborido, Sagidova, N., Sahoo, N., Saitta, B., Salomoni, M., Gras, C. Sanchez, Sanders, F., Sanderswood, I., Santacesaria, R., Rios, C. Santamarina, Santimaria, M., Santovetti, E., Saputi, A., Saranin, D., Sarpis, G., Sarpis, M., Sarti, A., Satriano, C., Satta, A., Saur, M., Saussac, A., Savrina, D., Sazak, H., Sborzacchi, F., Smead, L. G. Scantlebury, Scarabotto, A., Schael, S., Scherl, S., Schiller, M., Schimmel, A., Schindler, H., Schipper, J. D., Schmeitz, R., Schmelling, M., Schmidt, B., Schmitt, S., Schneider, O., Schneider, T., Schopper, A., Schubiger, M., Schulte, S., Schune, M. H., Schwemmer, R., Sciascia, B., Sciuccati, A., Sellam, S., Semennikov, A., Soares, M. Senghi, Sergi, A., Serra, N., Sestak, J., Sestini, L., Seuthe, A., Seyfert, P., Shang, Y., Shangase, D. M., Shapkin, M., Shchemerov, I., Shchutska, L., Shears, T., Shekhtman, L., Shen, Z., Sheng, S., Sherman, M. s, Shevchenko, V., Shi, B., Shields, E. B., Shimizu, Y., Shmanin, E., Shorkin, R., Shupperd, J. D., Siddi, B. G., Siebig, S., Sigmund, D., Sigurdsson, S., Coutinho, R. Silva, Simi, G., Simone, S., Singla, M., Skidmore, N., Skuza, R., Skwarnicki, T., Slater, M. W., Slattery, K., Slazyk, I., Smallwood, J. C., Smeaton, J. G., Smith, E., Smith, K., Smith, M., Smith, N. A., Snoch, A., Lavra, L. Soares, Socha, J-L., Sokoloff, M. D., Soler, F. J. P., Solomin, A., Solovev, A., Solovyev, I., Song, R., De Almeida, F. L. Souza, De Paula, B. Souza, Spaan, B., Norella, E. Spadaro, Spedicato, E., Spiridenkov, E., Spradlin, P., Squerzanti, S., Sriskaran, V., Stagni, F., Stahl, M., Stahl, S., Stanislaus, S., Steffens, E., Stein, E. N., Steinkamp, O., Stenyakin, O., Stevens, H., Stone, S., Stramaglia, M. E., Strekalina, D., Su, Y. S, Suljik, F., Sun, J., Sun, L., Sun, Y., Svihra, P., Swallow, P. N., Swientek, K., Swientek, S., Szabelski, A., Szumlak, T., Szymanski, M., Tagliente, G, Tan, Y., Taneja, S., Tat, M. D., Quere, M. Taurigna, Terentev, A., Terront, D. F., Teubert, F., Thomas, E., Thompson, D. J. D., Thomson, K. A., Tilquin, H., Tisserand, V., T'Jampens, S., Tobin, M., Tomassetti, L., Tonani, G., Tong, X., Topp-Joergensen, S., Machado, D. Torres, Tou, D. Y., Trilov, S. M., Trippl, C., Tuci, G., Tuning, N., Ukleja, A., Unverzagt, D. J., Usachov, A., Ustyuzhanin, A., Uwer, U., Vagner, A., Vagnoni, V., Valassi, A., Valat, S., Valenti, G., Canudas, N. Valls, van Beuzekom, M., Van De Kraats, P. W., van der Heijden, B., Van Dijk, M., van Dongen, J., Van Hecke, H., van Herwijnen, E., Van Hulse, C. B., Van Nieuwland, L., van Overbeek, M., Van Stenis, M., van Veghel, M., Vandaele, R., Gomez, R. Vazquez, Regueiro, P. Vazquez, Sierra, C. Vázquez, Vecchi, S., Veldt, L., Velthuis, J. J., Veltri, M., Venkateswaran, A., Verkooijnen, H., Veronesi, M., Vesterinen, M., Barbosa, J. V. Viana, Vieira, D., Diaz, M. Vieites, Viel, K. J., Vilasis-Cardona, X., Figueras, E. Vilella, Villa, A., Vincent, P., Vink, W., Vitkovskiy, A., Volkov, V., Volle, F. C., Bruch, D. vom, Voneki, B., Vorbach, O., Vorobyev, A., Vorobyev, V., Voropaev, N., Vos, K., Vouters, G., Vrahas, C., Walet, W., Walsh, J., Walton, E. J., Wan, G., Wang, C., Wang, G., Wang, J., Wang, M., Wang, R., Wang, X., Wang, Y., Wang, Z., Ward, J. A., Warda, K., Watson, N. K., Websdale, D., Webster, J., Wei, Y., Westhenry, B. D. C., White, D. J., Whitehead, M., Wieczorek, D., Wiederhold, A. R., Wiedner, D., Wilkinson, G., Wilkinson, M. K., Williams, I., Williams, M., Williams, M. R. J., Williams, R., Wilson, F. F., Wimberley, J., Windelband, B., Wislicki, W., Witek, M., Witola, L., Wlochal, M., Wong, C. P., Wormald, M., Wormser, G., Wotton, S. A., Wraight, K., Wu, H., Wu, J., Wyllie, K., Xiang, Z., Xie, Y., Xu, A., Xu, J., Xu, L., Xu, M., Xu, Q., Xu, Z., Yang, D., Yang, S., Yang, X., Yang, Y., Yang, Z., Yeomans, L. E., Yeroshenko, V., Yeung, H., Yin, H., Yu, J., Yuan, X., Zaffaroni, E., Zavertyaev, M., Zdybal, M., Zenaiev, O., Zeng, M., Zhang, C., Zhang, D., Zhang, L., Zhang, S., Zhang, Y., Zhao, Y., Zharkova, A., Zhelezov, A., Zheng, Y., Zhou, T., Zhou, X., Zhou, Y., Zhovkovska, V., Zhu, X., Zhu, Z., Zhukov, V., Zivkovic, V., Zou, Q., Zucchelli, S., Zuliani, D., Zunica, G., and Zvyagintsev, S.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

The LHCb upgrade represents a major change of the experiment. The detectors have been almost completely renewed to allow running at an instantaneous luminosity five times larger than that of the previous running periods. Readout of all detectors into an all-software trigger is central to the new design, facilitating the reconstruction of events at the maximum LHC interaction rate, and their selection in real time. The experiment's tracking system has been completely upgraded with a new pixel vertex detector, a silicon tracker upstream of the dipole magnet and three scintillating fibre tracking stations downstream of the magnet. The whole photon detection system of the RICH detectors has been renewed and the readout electronics of the calorimeter and muon systems have been fully overhauled. The first stage of the all-software trigger is implemented on a GPU farm. The output of the trigger provides a combination of totally reconstructed physics objects, such as tracks and vertices, ready for final analysis, and of entire events which need further offline reprocessing. This scheme required a complete revision of the computing model and rewriting of the experiment's software., Comment: All figures and tables, along with any supplementary material and additional information, are available at http://lhcbproject.web.cern.ch/lhcbproject/Publications/LHCbProjectPublic/LHCb-DP-2022-002.html (LHCb public pages)

Published
2023
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5. Measurement of the background in the CMS muon detector in $${p}{p}$$ pp -collisions at $$\sqrt{s} = 13$$ s = 13 $$\,\text {Te}\hspace{-.08em}\text {V}$$ Te V

Author

CMS Muon Group, M. Tytgat, A. Muhammad, G. De Lentdecker, J. Jaramillo, L. Moureaux, L. Pétré, Y. Yang, C. Rendón, G. Gokbulut, Y. Hong, A. Samalan, G. A. Alves, F. Marujo da Silva, E. Alves Coelho, M. Barroso Ferreira Filho, E. M. Da Costa, D. De Jesus Damiao, B. C. Ferreira, S. Fonseca De Souza, K. Mota Amarilo, H. Nogima, A. Santoro, M. Thiel, A. Aleksandrov, L. Dimitrov, R. Hadjiiska, P. Iaydjiev, M. Misheva, G. Mitev, L. Ratchev, G. Rashevski, M. Shopova, G. Sultanov, A. Dimitrov, L. Litov, B. Pavlov, P. Petkov, A. Petrov, E. Shumka, S. Keshri, S. Thakur, M. Chen, X. Dong, W. Gong, Q. Hou, C. Jiang, H. Kou, Z.-A. Liu, W. Luo, J. Song, L. Sun, N. Wang, Y. Wang, Z. Wang, C. Zhang, Y. Zhang, H. Zhang, J. Zhao, A. Agapitos, Y. Ban, A. Levin, Q. Li, S. J. Qian, D. Wang, K. Wang, Z. You, C. Avila, D. A. Barbosa Trujillo, A. Cabrera, C. A. Florez, J. Fraga, J. A. Reyes Vega, F. Ramirez, M. Rodriguez, J. D. Ruiz, N. Vanegas, H. Abdalla, A. A. Abdelalim, Y. Assran, A. Radi, I. Crotty, M. A. Mahmoud, L. Balleyguier, X. Chen, C. Combaret, G. Galbit, M. Gouzevitch, G. Grenier, I. B. Laktineh, A. Luciol, L. Mirabito, W. Tromeur, I. Bagaturia, I. Lomidze, O. Kemularia, Z. Tsamalaidze, U. Böttger, D. Eliseev, T. Hebbeker, K. Hoepfner, M. Merschmeyer, F. Ivone, S. Mukherjee, F. Nowotny, B. Philipps, H. Reithler, A. Sharma, F. Torres Da Silva De Araujo, S. Wiedenbeck, S. Zaleski, F. P. Zantis, M. Abbas, S. Mallows, G. Bencze, N. Beni, J. Molnar, Z. Szillasi, D. Teyssier, B. Ujvari, G. Zilizi, J. Babbar, S. Bansal, V. Bhatnagar, S. Chauhan, A. Kaur, H. Kaur, A. Kaur Sahota, S. Kumar, T. Sheokand, J. Singh, B. C. Choudhary, A. Kumar, M. Kumar Saini, M. Naimuddin, N. Majumdar, S. Mukhopadhyay, P. Rout, V. Amoozegar, B. Boghrati, M. Ebraimi, M. Mohammadi Najafabadi, E. Zareian, M. Abbrescia, R. Aly, M. Buonsante, A. Colaleo, N. De Filippis, D. Dell’Olio, G. De Robertis, W. Elmetenawee, N. Ferrara, M. Franco, G. Iaselli, N. Lacalamita, F. Licciulli, F. Loddo, M. Maggi, S. Martiradonna, S. Nuzzo, L. Longo, A. Pellecchia, G. Pugliese, R. Radogna, D. Ramos, A. Ranieri, F. M. Simone, A. Stamerra, D. Troiano, R. Venditti, P. Verwilligen, A. Zaza, G. Abbiendi, C. Baldanza, C. Battilana, A. Benvenuti, L. Borgonovi, V. Cafaro, F. R. Cavallo, A. Crupano, M. Cuffiani, G. M. Dallavalle, F. Fabbri, A. Fanfani, D. Fasanella, P. Giacomelli, V. Giordano, C. Guandalini, L. Guiducci, S. Lo Meo, L. Lunerti, S. Marcellini, G. Masetti, F. L. Navarria, G. Paggi, A. Perrotta, F. Primavera, A. M. Rossi, T. Rovelli, G. Torromeo, L. Benussi, S. Bianco, R. Campagnola, M. Caponero, S. Colafranceschi, S. Meola, L. Passamonti, D. Piccolo, D. Pierluigi, G. Raffone, A. Russo, G. Saviano, S. Buontempo, A. Cagnotta, F. Carnevali, F. Cassese, N. Cavallo, A. De Iorio, F. Fabozzi, A. O. M. Iorio, L. Lista, P. Paolucci, G. Passeggio, B. Rossi, L. Barcellan, M. Bellato, M. Benettoni, A. Bergnoli, A. Bragagnolo, R. Carlin, L. Castellani, P. Checchia, L. Ciano, A. Colombo, D. Corti, F. Gasparini, U. Gasparini, F. Gonella, A. Gozzelino, A. Griggio, G. Grosso, M. Gulmini, R. Isocrate, E. Lusiani, G. Maron, M. Margoni, A. T. Meneguzzo, M. Migliorini, L. Modenese, F. Montecassiano, M. Negrello, M. Passaseo, J. Pazzini, L. Ramina, M. Rampazzo, M. Rebeschini, P. Ronchese, R. Rossin, F. Simonetto, M. Toffano, N. Toniolo, A. Triossi, S. Ventura, M. Zanetti, P. G. Zatti, P. Zotto, A. Zucchetta, S. AbuZeid, C. Aimè, A. Braghieri, S. Calzaferri, D. Fiorina, S. Gigli, P. Montagna, C. Riccardi, P. Salvini, I. Vai, P. Vitulo, N. Amapane, G. Cotto, D. Dattola, P. De Remigis, B. Kiani, C. Mariotti, S. Maselli, M. Pelliccioni, F. Rotondo, A. Staiano, D. Trocino, G. Umoret, E. Asilar, T. J. Kim, J. A. Merlin, S. Choi, B. Hong, K. S. Lee, J. Goh, J. Choi, J. Kim, U. Yang, I. Yoon, W. Jang, J. Heo, D. Kang, Y. Kang, D. Kim, S. Kim, B. Ko, J. S. H. Lee, I. C. Park, I. J. Watson, S. Yang, Y. Jeong, Y. Lee, I. Yu, G. Alasfour, T. Beyrouthy, Y. Gharbia, Y. Maghrbi, M. Otkur, H. Castilla-Valdez, H. Crotte Ledesma, R. Lopez-Fernandez, A. Sánchez Hernández, M. Ramírez García, E. Vazquez, M. A. Shah, N. Zaganidis, I. Pedraza, C. Uribe Estrada, A. Ahmad, W. Ahmed, M. I. Asghar, H. R. Hoorani, S. Muhammad, A. Wajid, J. Alcaraz Maestre, A. Álvarez Fernández, Cristina F. Fernandez Bedoya, L. C. Blanco Ramos, E. Calvo, C. A. Carrillo Montoya, J. M. Cela Ruiz, M. Cepeda, M. Cerrada, N. Colino, S. Cuadrado Calzada, J. Cuchillo Ortega, B. De La Cruz, C. I. de Lara Rodríguez, D. Fernández Del Val, J. P. Fernández Ramos, M. C. Fouz, D. Francia Ferrero, J. García Romero, O. Gonzalez Lopez, S. Goy Lopez, M. I. Josa, J. León Holgado, O. Manzanilla Carretero, I. Martín Martín, J. J. Martínez Morales, E. Martín Viscasillas, D. Moran, Á. Navarro Tobar, R. Paz Herrera, J. C. Puras Sánchez, J. Puerta Pelayo, S. Pulido Ferrero, I. Redondo, D. D. Redondo Ferrero, V. Salto Parra, S. Sánchez Navas, J. Sastre, L. Urda Gómez, J. Vazquez Escobar, J. F. de Trocóniz, F. Frias Garcia-Lago, R. Reyes-Almanza, B. Alvarez Gonzalez, J. Cuevas, J. Fernandez Menendez, S. Folgueras, I. Gonzalez Caballero, P. Leguina López, E. Palencia Cortezon, C. Ramón Álvarez, J. Prado Pico, V. Rodríguez Bouza, A. Soto Rodríguez, A. Trapote, C. Vico Villalba, B. Kailasapathy, K. Malagalage, D. U. J. Sonnadara, D. D. C. Wickramarathna, W. G. D. Dharmaratna, K. Liyanage, N. Perera, N. Wickramage, P. Aspell, M. Bianco, D. Bozzato, S. Brachet, A. Conde Garcia, A. Dabrowski, R. De Oliveira, F. Fallavollita, P. Kicsiny, E. Hazen, S. May, A. Peck, K. Salyer, I. Suarez, S. Abbott, J. Bonilla, R. Breedon, H. Cai, P. T. Cox, R. Erbacher, O. Kukral, C. McLean, G. Mocellin, M. Mulhearn, B. Regnery, M. Tripathi, G. Waegel, Y. Yao, J. Carlson, R. Cousins, A. Dasgupta, A. Datta, J. Hauser, M. Ignatenko, M. A. Iqbal, C. Lo, D. Saltzberg, C. Schnaible, V. Valuev, R. Clare, M. Gordon, G. Hanson, N. Amin, J. Bradmiller-Feld, C. Campagnari, T. Danielson, A. Dishaw, A. Dorsett, B. Marsh, H. Mei, M. Oshiro, J. Richman, F. Setti, M. F. Sevilla, P. Siddireddy, S. Wang, C. Aruta, V. Barashko, V. Cherepanov, M. Dittrich, A. Korytov, E. Kuznetsova, A. Madorsky, G. Mitselmakher, A. Muthirakalayil Madhu, N. Rawal, N. Terentyev, J. Wang, B. Alsufyani, S. Butalla, T. Elkafrawy, M. Hohlmann, E. Yanes, J. Eysermans, E. Barberis, Y. Haddad, Y. Han, G. Madigan, D. M. Morse, V. Nguyen, D. Wood, S. Bhattacharya, J. Bueghly, Z. Chen, K. A. Hahn, Y. Liu, Y. Miao, D. G. Monk, M. H. Schmitt, A. Taliercio, M. Velasco, B. Bylsma, M. Carrigan, R. De Los Santos, L. S. Durkin, C. Hill, K. Banicz, J. Liu, M. Matveev, B. P. Padley, D. Aebi, M. Ahmad, T. Akhter, A. Bolshov, O. Bouhali, R. Eusebi, J. Gilmore, T. Huang, E. Juska, T. Kamon, H. Kim, M. Kizlov, S. Malhotra, R. Mueller, R. Rabadan, D. Rathjens, A. Safonov, P. E. Karchin, A. Aravind, K. Black, I. De Bruyn, P. Everaerts, C. Galloni, M. Herndon, A. Lanaro, R. Loveless, J. Madhusudanan Sreekala, S. Mondal, D. Teague, W. Vetens, A. Warden, I. Azhgirey, V. Borshch, L. Chtchipunov, A. Egorov, G. Gavrilov, V. Golovtcov, M. Ivanov, V. Ivantchenko, Y. Ivanov, V. Karjavine, A. Khodinov, V. Kim, I. A. Kurochkin, P. Levchenko, V. Murzin, S. Nasybulin, V. Oreshkin, V. Palichik, V. Perelygin, A. Riabchikova, D. Sosnov, V. Sulimov, L. Uvarov, S. Vavilov, and A. Vorobyev

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The CMS detector, including its muon system, has been operating at the CERN LHC in increasingly challenging conditions for about 15 years. The muon detector was designed to provide excellent triggering and track reconstruction for muons produced in proton–proton collisons at an instantaneous luminosity ( $$\mathcal {L}$$ L ) of $$1 \times 10^{34}$$ 1 × 10 34 cm $$^{-2}$$ - 2 s $$^{-1}$$ - 1 . During the Run 2 data-taking period (2015–2018), the LHC achieved an instantaneous luminosity of twice its design value, resulting in larger background rates and making the efficient detection of muons more difficult. While some backgrounds result from natural radioactivity, cosmic rays, and interactions of the circulating protons with residual gas in the beam pipe, the dominant source of background hits in the muon system arises from proton–proton interactions themselves. Charged hadrons leaving the calorimeters produce energy deposits in the muon chambers. In addition, high-energy particles interacting in the hadron calorimeter and forward shielding elements generate thermal neutrons, which leak out of the calorimeter and shielding structures, filling the CMS cavern. We describe the method used to measure the background rates in the various muon subsystems. These rates, in conjunction with simulations, can be used to estimate the expected backgrounds in the High-Luminosity LHC. This machine will run for at least 10 years starting in 2029 reaching an instantaneous luminosity of $$\mathcal {L} = 5 \times \text {10}^\text {34}\,\text {cm}^\text {-2}\,\text {s}^\text {-1}$$ L = 5 × 10 34 cm -2 s -1 and increasing ultimately to $$\mathcal {L} = 7.5 \times \text {10}^\text {34}\,\text {cm}^\text {-2}\,\text {s}^\text {-1}$$ L = 7.5 × 10 34 cm -2 s -1 . These background estimates have been a key ingredient for the planning and design of the muon detector upgrade.

Published
2024
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6. Implementation and performances of the IPbus protocol for the JUNO Large-PMT readout electronics

Author

Triozzi, Riccardo, Serafini, Andrea, Bellato, Marco, Bergnoli, Antonio, Bolognesi, Matteo, Brugnera, Riccardo, Cerrone, Vanessa, Chen, Chao, Clerbaux, Barbara, Coppi, Alberto, Corti, Daniele, Corso, Flavio dal, Dong, Jianmeng, Dou, Wei, Fan, Lei, Garfagnini, Alberto, Gavrikov, Arsenii, Gong, Guanghua, Grassi, Marco, Guizzetti, Rosa Maria, Hang, Shuang, He, Cong, Hu, Jun, Isocrate, Roberto, Jelmini, Beatrice, Ji, Xiaolu, Jiang, Xiaoshan, Li, Fei, Liang, Zehong, Lippi, Ivano, Liu, Hongbang, Liu, Hongbin, Liu, Shenghui, Liu, Xuewei, Luo, Daibin, Luo, Ronghua, Marini, Filippo, Mazzaro, Daniele, Modenese, Luciano, Molla, Marta Colomer, Ning, Zhe, Peng, Yu, Petitjean, Pierre-Alexandre, Pitacco, Alberto, Qi, Mengyao, Ramina, Loris, Rampazzo, Mirco, Rebeschini, Massimo, Redchuk, Mariia, Sun, Yunhua, Triossi, Andrea, Veronese, Fabio, von Sturm, Katharina, Wang, Peiliang, Wang, Peng, Wang, Yangfu, Wang, Yusheng, Wang, Yuyi, Wang, Zheng, Wei, Ping, Weng, Jun, Xian, Shishen, Xie, Xiaochuan, Xu, Benda, Xu, Chuang, Xu, Donglian, Xu, Hai, Yan, Xiongbo, Yan, Ziyue, Yang, Fengfan, Yang, Yan, Yang, Yifan, Ye, Mei, Zeng, Tingxuan, Zhang, Shuihan, Zhang, Wei, Zhang, Aiqiang, Zhang, Bin, Zhao, Siyao, Zi, Changge, Aiello, Sebastiano, Andronico, Giuseppe, Antonelli, Vito, Barresi, Andrea, Basilico, Davide, Beretta, Marco, Brigatti, Augusto, Bruno, Riccardo, Budano, Antonio, Caccianiga, Barbara, Cammi, Antonio, Campese, Stefano, Chiesa, Davide, Clementi, Catia, Cordelli, Marco, Dusini, Stefano, Fabbri, Andrea, Felici, Giulietto, Ferraro, Federico, Giammarchi, Marco Giulio, Landini, Cecilia, Lombardi, Paolo, Lombardo, Claudio, Maino, Andrea, Mantovani, Fabio, Mari, Stefano Maria, Martini, Agnese, Meroni, Emanuela, Miramonti, Lino, Montuschi, Michele, Nastasi, Massimiliano, Orestano, Domizia, Ortica, Fausto, Paoloni, Alessandro, Parmeggiano, Sergio, Petrucci, Fabrizio, Previtali, Ezio, Ranucci, Gioacchino, Re, Alessandra Carlotta, Ricci, Barbara, Romani, Aldo, Saggese, Paolo, Sanfilippo, Simone, Sirignano, Chiara, Sisti, Monica, Stanco, Luca, Strati, Virginia, Tortorici, Francesco, Tuvé, Cristina, Venettacci, Carlo, Verde, Giuseppe, and Votano, Lucia

Subjects
Physics - Instrumentation and Detectors
Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. Thanks to the tight requirements on its optical and radio-purity properties, it will be able to perform leading measurements detecting terrestrial and astrophysical neutrinos in a wide energy range from tens of keV to hundreds of MeV. A key requirement for the success of the experiment is an unprecedented 3% energy resolution, guaranteed by its large active mass (20 kton) and the use of more than 20,000 20-inch photo-multiplier tubes (PMTs) acquired by high-speed, high-resolution sampling electronics located very close to the PMTs. As the Front-End and Read-Out electronics is expected to continuously run underwater for 30 years, a reliable readout acquisition system capable of handling the timestamped data stream coming from the Large-PMTs and permitting to simultaneously monitor and operate remotely the inaccessible electronics had to be developed. In this contribution, the firmware and hardware implementation of the IPbus based readout protocol will be presented, together with the performances measured on final modules during the mass production of the electronics.

Published
2023
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7. The Analytical Method algorithm for trigger primitives generation at the LHC Drift Tubes detector

Author

Abbiendi, G., Maestre, J. Alcaraz, Fernández, A. Álvarez, González, B. Álvarez, Amapane, N., Bachiller, I., Barcellan, L., Baldanza, C., Battilana, C., Bellato, M., Bencze, G., Benettoni, M., Beni, N., Benvenuti, A., Bergnoli, A., Ramos, L. C. Blanco, Borgonovi, L., Bragagnolo, A., Cafaro, V., Calderon, A., Calvo, E., Carlin, R., Montoya, C. A. Carrillo, Cavallo, F. R., Ruiz, J. M. Cela, Cepeda, M., Cerrada, M., Checchia, P., Ciano, L., Colino, N., Corti, D., Cotto, G., Crupano, A., Calzada, S. Cuadrado, Cuevas, J., Cuffiani, M., Dallavalle, G. M., Dattola, D., De La Cruz, B., Rodríguez, C. I. de Lara, De Remigis, P., Cid, C. Erice, Eliseev, D., Fabbri, F., Fanfani, A., Fasanella, D., Bedoya, C. F., de Trocóniz, J. F., del Val, D. Fernández, Menéndez, J. Fernández, Ramos, J. P. Fernández, Folgueras, S., Fouz, M. C., Ferrero, D. Francia, Romero, J. García, Gasparini, F., Gasparini, U., Giordano, V., Gonella, F., Caballero, I. González, Fernández, J. R. González, López, O. González, López, S. Goy, Gozzelino, A., Griggio, A., Grosso, G., Guandalini, C., Guiducci, L., Gulmini, M., Hebbeker, T., Hoepfner, K., Isocrate, R., Josa, M. I., Kiani, B., Holgado, J. León, Meo, S. Lo, Lusiani, E., Lunerti, L., Marcellini, S., Margoni, M., Mariotti, C., Martín, I. Martín, Morales, J. J. Martínez, Maselli, S., Masetti, G., Meneguzzo, A. T., Merschmeyer, M., Migliorini, M., Modenese, L., Molnar, J., Montecassiano, F., Martínez, J. Mora, Moran, D., Mukherjee, S., Navarrete, J. J., Navarria, F., Tobar, A. Navarro, Nowotny, F., Cortezón, E. Palencia, Passaseo, M., Pazzini, J., Pelliccioni, M., Perrotta, A., Philipps, B., Gomez, J. Piedra, Primavera, F., Pelayo, J. Puerta, Sánchez, J. C. Puras, Álvarez, C. Ramón, Redondo, I., Ferrero, D. D. Redondo, Reithler, H., Reyes-Almanza, R., Bouza, V. Rodríguez, Ronchese, P., Rossi, A. M., Rossin, R., Rotondo, F., Rovelli, T., Cruz, S. Sánchez, Navas, S. Sánchez, Sastre, J., Sharma, A., Simonetto, F., Rodríguez, A. Soto, Staiano, A., Szillasi, Z., Teyssier, D. F., Toniolo, N., Torromeo, G., Trapote, A., Trevisani, N., Triossi, A., Trocino, D., Ujvari, B., Umoret, G., Gómez, L. Urda, Uwe, B., Ventura, S., Villalba, C. Vico, Wiedenbeck, S., Zanetti, M., Zantis, F. P., Zilizi, G., Zotto, P., and Zucchetta, A.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

The Compact Muon Solenoid (CMS) experiment prepares its Phase-2 upgrade for the high-luminosity era of the LHC operation (HL-LHC). Due to the increase of occupancy, trigger latency and rates, the full electronics of the CMS Drift Tube (DT) chambers will need to be replaced. In the new design, the time bin for the digitisation of the chamber signals will be of around 1~ns, and the totality of the signals will be forwarded asynchronously to the service cavern at full resolution. The new backend system will be in charge of building the trigger primitives of each chamber. These trigger primitives contain the information at chamber level about the muon candidates position, direction, and collision time, and are used as input in the L1 CMS trigger. The added functionalities will improve the robustness of the system against ageing. An algorithm based on analytical solutions for reconstructing the DT trigger primitives, called Analytical Method, has been implemented both as a software C++ emulator and in firmware. Its performance has been estimated using the software emulator with simulated and real data samples, and through hardware implementation tests. Measured efficiencies are 96 to 98\% for all qualities and time and spatial resolutions are close to the ultimate performance of the DT chambers. A prototype chain of the HL-LHC electronics using the Analytical Method for trigger primitive generation has been installed during Long Shutdown 2 of the LHC and operated in CMS cosmic data taking campaigns in 2020 and 2021. Results from this validation step, the so-called Slice Test, are presented., Comment: 16 pages, 11 figures

Published
2023
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8. Mass testing of the JUNO experiment 20-inch PMTs readout electronics

Author

Coppi, Alberto, Jelmini, Beatrice, Bellato, Marco, Bergnoli, Antonio, Bolognesi, Matteo, Brugnera, Riccardo, Cerrone, Vanessa, Chen, Chao, Clerbaux, Barbara, Corti, Daniele, Corso, Flavio dal, Dong, Jianmeng, Dou, Wei, Fan, Lei, Garfagnini, Alberto, Gavrikov, Arsenii, Gong, Guanghua, Grassi, Marco, Guizzetti, Rosa Maria, Hang, Shuang, He, Cong, Hu, Jun, Isocrate, Roberto, Ji, Xiaolu, Jiang, Xiaoshan, Li, Fei, Liang, Zehong, Lippi, Ivano, Liu, Hongbang, Liu, Hongbin, Liu, Shenghui, Liu, Xuewei, Luo, Daibin, Luo, Ronghua, Marini, Filippo, Mazzaro, Daniele, Modenese, Luciano, Molla, Marta Colomer, Ning, Zhe, Peng, Yu, Petitjean, Pierre-Alexandre, Pitacco, Alberto, Qi, Mengyao, Ramina, Loris, Rampazzo, Mirco, Rebeschini, Massimo, Redchuk, Mariia, Serafini, Andrea, Sun, Yunhua, Triossi, Andrea, Triozzi, Riccardo, Veronese, Fabio, von Sturm, Katharina, Wang, Peiliang, Wang, Peng, Wang, Yangfu, Wang, Yusheng, Wang, Yuyi, Wang, Zheng, Wei, Ping, Weng, Jun, Xian, Shishen, Xie, Xiaochuan, Xu, Benda, Xu, Chuang, Xu, Donglian, Xu, Hai, Yan, Xiongbo, Yan, Ziyue, Yang, Fengfan, Yang, Yan, Yang, Yifan, Ye, Mei, Zeng, Tingxuan, Zhang, Shuihan, Zhang, Wei, Zhang, Aiqiang, Zhang, Bin, Zhao, Siyao, Zi, Changge, Aiello, Sebastiano, Andronico, Giuseppe, Antonelli, Vito, Barresi, Andrea, Basilico, Davide, Beretta, Marco, Brigatti, Augusto, Bruno, Riccardo, Budano, Antonio, Caccianiga, Barbara, Cammi, Antonio, Campese, Stefano, Chiesa, Davide, Clementi, Catia, Cordelli, Marco, Dusini, Stefano, Fabbri, Andrea, Felici, Giulietto, Ferraro, Federico, Giammarchi, Marco Giulio, Landini, Cecilia, Lombardi, Paolo, Lombardo, Claudio, Maino, Andrea, Mantovani, Fabio, Mari, Stefano Maria, Martini, Agnese, Meroni, Emanuela, Miramonti, Lino, Montuschi, Michele, Nastasi, Massimiliano, Orestano, Domizia, Ortica, Fausto, Paoloni, Alessandro, Parmeggiano, Sergio, Petrucci, Fabrizio, Previtali, Ezio, Ranucci, Gioacchino, Re, Alessandra Carlotta, Ricci, Barbara, Romani, Aldo, Saggese, Paolo, Sanfilippo, Simone, Sirignano, Chiara, Sisti, Monica, Stanco, Luca, Strati, Virginia, Tortorici, Francesco, Tuvé, Cristina, Venettacci, Carlo, Verde, Giuseppe, and Votano, Lucia

Subjects
Physics - Instrumentation and Detectors
Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose, large size, liquid scintillator experiment under construction in China. JUNO will perform leading measurements detecting neutrinos from different sources (reactor, terrestrial and astrophysical neutrinos) covering a wide energy range (from 200 keV to several GeV). This paper focuses on the design and development of a test protocol for the 20-inch PMT underwater readout electronics, performed in parallel to the mass production line. In a time period of about ten months, a total number of 6950 electronic boards were tested with an acceptance yield of 99.1%.

Published
2023
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9. Yade Documentation

Author

Smilauer, Vaclav, Angelidakis, Vasileios, Catalano, Emanuele, Caulk, Robert, Chareyre, Bruno, Chevremont, William, Dorofeenko, Sergei, Duriez, Jerome, Dyck, Nolan, Elias, Jan, Er, Burak, Eulitz, Alexander, Gladky, Anton, Guo, Ning, Jakob, Christian, Kneib, Francois, Kozicki, Janek, Marzougui, Donia, Maurin, Raphael, Modenese, Chiara, Pekmezi, Gary, Scholtes, Luc, Sibille, Luc, Stransky, Jan, Sweijen, Thomas, Thoeni, Klaus, and Yuan, Chao

Subjects
Physics - Computational Physics, Condensed Matter - Materials Science, Condensed Matter - Soft Condensed Matter
Abstract

Yade is an extensible open-source framework for discrete numerical models, focused on the Discrete Element Method. The computation parts are written in c++ using a flexible object model and allowing independent implementation of new algorithms and interfaces. Python is used for rapid and concise scene construction, simulation control, postprocessing and debugging. Yade is located at yade-dem.org, which contains this documentation. Development is kindly hosted on launchpad and GitLab ; they are used for source code, bug tracking and source downloads and more. Building, regression tests and packages distribution are hosted on servers of the Grenoble Geomechanics group at Laboratoire 3SR, UMS Gricad and Gda\'nsk University of Technology. Yade supports high precision calculations and Python 3. The development branch is on GitLab.

Published
2023
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10. Validation and integration tests of the JUNO 20-inch PMTs readout electronics

Author

Cerrone, Vanessa, von Sturm, Katharina, Bellato, Marco, Bergnoli, Antonio, Bolognesi, Matteo, Brugnera, Riccardo, Chen, Chao, Clerbaux, Barbara, Coppi, Alberto, Corso, Flavio dal, Corti, Daniele, Dong, Jianmeng, Dou, Wei, Fan, Lei, Garfagnini, Alberto, Gong, Guanghua, Grassi, Marco, Hang, Shuang, Guizzetti, Rosa Maria, He, Cong, Hu, Jun, Isocrate, Roberto, Jelmini, Beatrice, Ji, Xiaolu, Jiang, Xiaoshan, Li, Fei, Liang, Zehong, Lippi, Ivano, Liu, Hongbang, Liu, Hongbin, Liu, Shenghui, Liu, Xuewei, Luo, Daibin, Luo, Ronghua, Marini, Filippo, Mazzaro, Daniele, Modenese, Luciano, Ning, Zhe, Peng, Yu, Petitjean, Pierre-Alexandre, Pitacco, Alberto, Qi, Mengyao, Ramina, Loris, Rampazzo, Mirco, Rebeschini, Massimo, Redchuk, Mariia, Serafini, Andrea, Sun, Yunhua, Triossi, Andrea, Triozzi, Riccardo, Veronese, Fabio, Wang, Peiliang, Wang, Peng, Wang, Yangfu, Wang, Yusheng, Wang, Yuyi, Wang, Zheng, Wei, Ping, Weng, Jun, Xian, Shishen, Xie, Xiaochuan, Xu, Benda, Xu, Chuang, Xu, Donglian, Xu, Hai, Yan, Xiongbo, Yan, Ziyue, Yang, Fengfan, Yang, Yan, Yang, Yifan, Ye, Mei, Zeng, Tingxuan, Zhang, Shuihan, Zhang, Wei, Zhang, Aiqiang, Zhang, Bin, Zhao, Siyao, Zi, Changge, Aiello, Sebastiano, Andronico, Giuseppe, Antonelli, Vito, Barresi, Andrea, Basilico, Davide, Beretta, Marco, Brigatti, Augusto, Bruno, Riccardo, Budano, Antonio, Caccianiga, Barbara, Cammi, Antonio, Campese, Stefano, Chiesa, Davide, Clementi, Catia, Cordelli, Marco, Dusini, Stefano, Fabbri, Andrea, Felici, Giulietto, Ferraro, Federico, Giammarchi, Marco G., Landini, Cecilia, Lombardi, Paolo, Lombardo, Claudio, Maino, Andrea, Mantovani, Fabio, Mari, Stefano Maria, Martini, Agnese, Meroni, Emanuela, Miramonti, Lino, Montuschi, Michele, Nastasi, Massimiliano, Orestano, Domizia, Ortica, Fausto, Paoloni, Alessandro, Parmeggiano, Sergio, Petrucci, Fabrizio, Previtali, Ezio, Ranucci, Gioacchino, Re, Alessandra Carlotta, Ricci, Barbara, Romani, Aldo, Saggese, Paolo, Sanfilippo, Simone, Sirignano, Chiara, Sisti, Monica, Stanco, Luca, Strati, Virginia, Tortorici, Francesco, Tuvé, Cristina, Venettacci, Carlo, Verde, Giuseppe, and Votano, Lucia

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. JUNO will be able to study the neutrino mass ordering and to perform leading measurements detecting terrestrial and astrophysical neutrinos in a wide energy range, spanning from 200 keV to several GeV. Given the ambitious physics goals of JUNO, the electronic system has to meet specific tight requirements, and a thorough characterization is required. The present paper describes the tests performed on the readout modules to measure their performances., Comment: 20 pages, 13 figures

Published
2022
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15. An Overview of Reviews on Predictors of Neurorehabilitation in Surgical or Non-Surgical Patients with Brain Tumours

Author

Mattia Gambarin, Tullio Malgrati, Rita Di Censo, Angela Modenese, Giulio Balestro, Gloria Muti, Marta Cappellesso, Cristina Fonte, Valentina Varalta, Ylenia Gallinaro, Monica Pinto, Matilde Carlucci, Alessandro Picelli, and Nicola Smania

Subjects
rehabilitation outcomes, brain tumour, quality of life, Science
Abstract

(1) Background. People suffering from brain cancer, regardless of histological tumour characteristics, often experience motor disturbances, cognitive–behavioural difficulty, language impairments, and functional and social limitations. The current treatment approach entails surgery and adjuvant therapy such as chemotherapy and radiotherapy combined with intensive rehabilitation. The primary focus of rehabilitation is usually motor and functional recovery, without specifically addressing the patient’s quality of life. The present systematic review identifies and evaluates the predictors of functional and cognitive rehabilitation outcomes and their influence on quality of life in adult patients with brain cancer. (2) Methods. Three electronic databases (PubMed, Elsevier, Cochrane) were searched for reviews about functional, cognitive, and quality-of-life outcomes in patients with central nervous system tumours, including articles published between January 2018 and May 2024. (3) Results. The search retrieved 399 records, 40 of which were reviewed. Five main areas of predictive factors were identified: diagnosis, therapy, complications, outcomes (in the motor, cognitive, and quality-of-life categories), and tailored rehabilitation. (4) Conclusions. These indicators may inform integrated care pathways for patients with primary central nervous system tumours.

Published
2024
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18. Correction: Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey

Author

Cobianchi, Lorenzo, Piccolo, Daniele, Dal Mas, Francesca, Agnoletti, Vanni, Ansaloni, Luca, Balch, Jeremy, Biffl, Walter, Butturini, Giovanni, Catena, Fausto, Coccolini, Federico, Denicolai, Stefano, De Simone, Belinda, Frigerio, Isabella, Fugazzola, Paola, Marseglia, Gianluigi, Marseglia, Giuseppe Roberto, Martellucci, Jacopo, Modenese, Mirko, Previtali, Pietro, Ruta, Federico, Venturi, Alessandro, Kaafarani, Haytham M., and Loftus, Tyler J.

Published
2023
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19. Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey

Author

Cobianchi, Lorenzo, Piccolo, Daniele, Dal Mas, Francesca, Agnoletti, Vanni, Ansaloni, Luca, Balch, Jeremy, Biffl, Walter, Butturini, Giovanni, Catena, Fausto, Coccolini, Federico, Denicolai, Stefano, De Simone, Belinda, Frigerio, Isabella, Fugazzola, Paola, Marseglia, Gianluigi, Marseglia, Giuseppe Roberto, Martellucci, Jacopo, Modenese, Mirko, Previtali, Pietro, Ruta, Federico, Venturi, Alessandro, Kaafarani, Haytham M., and Loftus, Tyler J.

Published
2023
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21. Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy.

Author

Arnault H Caillet, Andrew T M Phillips, Dario Farina, and Luca Modenese

Subjects
Biology (General), QH301-705.5
Abstract

The computational simulation of human voluntary muscle contraction is possible with EMG-driven Hill-type models of whole muscles. Despite impactful applications in numerous fields, the neuromechanical information and the physiological accuracy such models provide remain limited because of multiscale simplifications that limit comprehensive description of muscle internal dynamics during contraction. We addressed this limitation by developing a novel motoneuron-driven neuromuscular model, that describes the force-generating dynamics of a population of individual motor units, each of which was described with a Hill-type actuator and controlled by a dedicated experimentally derived motoneuronal control. In forward simulation of human voluntary muscle contraction, the model transforms a vector of motoneuron spike trains decoded from high-density EMG signals into a vector of motor unit forces that sum into the predicted whole muscle force. The motoneuronal control provides comprehensive and separate descriptions of the dynamics of motor unit recruitment and discharge and decodes the subject's intention. The neuromuscular model is subject-specific, muscle-specific, includes an advanced and physiological description of motor unit activation dynamics, and is validated against an experimental muscle force. Accurate force predictions were obtained when the vector of experimental neural controls was representative of the discharge activity of the complete motor unit pool. This was achieved with large and dense grids of EMG electrodes during medium-force contractions or with computational methods that physiologically estimate the discharge activity of the motor units that were not identified experimentally. This neuromuscular model advances the state-of-the-art of neuromuscular modelling, bringing together the fields of motor control and musculoskeletal modelling, and finding applications in neuromuscular control and human-machine interfacing research.

Published
2023
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22. Study of the effects of radiation on the CMS Drift Tubes Muon Detector for the HL-LHC

Author

Abbiendi, G., Maestre, J. Alcaraz, Fernández, A. Álvarez, González, B. Álvarez, Amapane, N., Bachiller, I., Barcala, J. M., Barcellan, L., Battilana, C., Bellato, M., Bencze, G., Benettoni, M., Beni, N., Benvenuti, A., Ramos, L. C. Blanco, Boletti, A., Bragagnolo, A., Cifuentes, J. A. Brochero, Cafaro, V., Calderon, A., Calvo, E., Cappati, A., Carlin, R., Montoya, C. A. Carrillo, Cavallo, F. R., Ruiz, J. M. Cela, Cepeda, M., Cerrada, M., Quero, B. Chazin, Checchia, P., Ciano, L., Colino, N., Corti, D., Cotto, G., Cuevas, J., Cuffiani, M., Dallavalle, G. M., Dattola, D., De La Cruz, B., DeRemigis, P., Cid, C. Erice, Fabbri, F., Fanfani, A., Fasanella, D., Bedoya, C. F., de Trocóniz, J. F., Manteca, P. Fernandez, Menéndez, J. Fernández, Ramos, J. P. Fernández, Folgueras, S., Fouz, M. C., Ferrero, D. Francia, Romero, J. García, Gasparini, F., Gasparini, U., Ghosh, S., Giordano, V., Casademunt, F. Gomez, Gonella, F., Caballero, I. González, Fernández, J. R. González, López, O. González, López, S. Goy, Gozzelino, A., Griggio, A., Grosso, G., Guandalini, C., Guiducci, L., Gulmini, M., Hebbeker, T., Heidemann, C., Hernández, J. M., Hoepfner, K., Iemmi, F., Isocrate, R., Josa, M. I., Kiani, B., Lacaprara, S., Meo, S. Lo, Marcellini, S., Margoni, M., Marín, J., Mariotti, C., Martín, I. Martín, Morales, J. J. Martínez, Rivero, C. Martínez, Maselli, S., Masetti, G., Meneguzzo, A. T., Merschmeyer, M., Mocellin, G., Modenese, L., Molinero, A., Molnar, J., Montecassiano, F., Moran, D., Navarrete, J. J., Navarria, F., Tobar, Á. Navarro, Oller, J. C., Passaseo, M., Pazzini, J., Pegoraro, M., Pelayo, J. Puerta, Pelliccioni, M., Philipps, B., Gomez, J. Piedra, Angioni, G. L. Pinna, Pozzobon, N., Presilla, M., Prieels, C., Primavera, F., Sánchez, J. C. Puras, Redondo, I., Ferrero, D. D. Redondo, Reithler, H., Rodrigo, T., Bouza, V. Rodríguez, Roemer, J., Ronchese, P., Rossin, R., Rotondo, F., Rovelli, T., Cruz, S. Sánchez, Navas, S. Sánchez, Sastre, J., Scodellaro, L., Simonetto, F., Soares, M. S., Staiano, A., Szillasi, Z., Teyssier, D. F., Toniolo, N., Torassa, E., Trocino, D., Ujvari, B., Ventura, S., Cortabitarte, R. Vilar, Garcia, J. Vizan, Zanetti, M., Zantis, F. P., Zilizi, G., and Zotto, P.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The CMS drift tubes (DT) muon detector, built for withstanding the LHC expected integrated and instantaneous luminosities, will be used also in the High Luminosity LHC (HL-LHC) at a 5 times larger instantaneous luminosity and, consequently, much higher levels of radiation, reaching about 10 times the LHC integrated luminosity. Initial irradiation tests of a spare DT chamber at the CERN gamma irradiation facility (GIF++), at large ($\sim$O(100)) acceleration factor, showed ageing effects resulting in a degradation of the DT cell performance. However, full CMS simulations have shown almost no impact in the muon reconstruction efficiency over the full barrel acceptance and for the full integrated luminosity. A second spare DT chamber was moved inside the GIF++ bunker in October 2017. The chamber was being irradiated at lower acceleration factors, and only 2 out of the 12 layers of the chamber were switched at working voltage when the radioactive source was active, being the other layers in standby. In this way the other non-aged layers are used as reference and as a precise and unbiased telescope of muon tracks for the efficiency computation of the aged layers of the chamber, when set at working voltage for measurements. An integrated dose equivalent to two times the expected integrated luminosity of the HL-LHC run has been absorbed by this second spare DT chamber and the final impact on the muon reconstruction efficiency is under study. Direct inspection of some extracted aged anode wires presented a melted resistive deposition of materials. Investigation on the outgassing of cell materials and of the gas components used at the GIF++ are underway. Strategies to mitigate the ageing effects are also being developed. From the long irradiation measurements of the second spare DT chamber, the effects of radiation in the performance of the DTs expected during the HL-LHC run will be presented., Comment: 10 pages, 7 figures, to be published in JINST, editor I. Gonz\'alez Caballero

Published
2019
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24. Effects of deep heating modalities on the morphological and elastic properties of the non-insertional region of achilles tendon: a pilot study

Author

Daniele Munari, Anna Serina, Arianna Leonardelli, Davide Lanza, Alberto Caramori, Andrea Guerrini, Modenese Angela, Mirko Filippetti, Nicola Smania, and Alessandro Picelli

Subjects
physical therapy modalities, ultrasonography, tendons, elasticity imaging techniques, diathermy, Medical technology, R855-855.5
Abstract

Background Over the last 20 years, both diathermy and ultrasound have been popular choices for many clinicians in treating musculoskeletal disorders. However, there is a lack of clinical evidence of deep heating modalities to treat tendon pathology, There is no study to investigate the effects of such as physical modalities on morphological and elastic properties on the human tendons. Objective the objective of the present study was to compare the effects of diathermy and ultrasound therapies on cross sectional area, transversal height and hardness percentage of the non-insertional region of the Achilles tendon in able-bodied subjects. Methods healthy volunteers were divided in diathermy and ultrasound group received six 15-min treatment sessions. Before and after treatment a sonographic assessment was conducted by mean of ultrasonography and the following parameters were recorded: cross sectional area, transversal height and hardness percentage. Results thirty-two subjects were enrolled. Between-group comparisons showed a significant change on hardness percentage (p = 0.004) after treatment in diathermy therapy group. Within-group comparison showed a significant improvement in the hardness percentage for the diathermy (p = 0.001) and ultrasound (p = 0.046) after two weeks of treatment. Conclusion this pilot study demonstrated larger effects on morphological and elastic properties of the non-insertional region of the Achilles tendon after diathermy than ultrasound therapy in normal tendons. Diathermy may be a useful deep heat modality for treating non-insertional Achilles tendinopathy.

Published
2022
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25. Assessing the Association between Biomarkers and COVID-19 Mortality Using the Joint Modelling Approach

Author

Matteo Di Maso, Serena Delbue, Maurizio Sampietro, Monica Ferraroni, Annalisa Modenese, Maria Dolci, Federico Ambrogi, and Pasquale Ferrante

Subjects
COVID-19 mortality, biomarkers, time-varying covariates, joint modelling approach, survival analysis, Science
Abstract

We evaluated the association between biomarkers and COVID-19 mortality. Baseline characteristics of 403 COVID-19 patients included sex and age; biomarkers, measured throughout the follow-up, included lymphocytes, neutrophils, ferritin, C-reactive protein, glucose, and LDH. Hazard ratios (HRs) and corresponding 95% credible intervals (CIs) were estimated through joint models (JMs) using a Bayesian approach. We fitted univariable (a single biomarker) and multivariable (all biomarkers) JMs. In univariable analyses, all biomarkers were significantly associated with COVID-19 mortality. In multivariable analysis, HRs were 1.78 (95% CI: 1.13–2.87) with a doubling of neutrophils levels, 1.49 (95% CI: 1.19–1.95) with a doubling of C-reactive protein levels, 2.66 (95% CI: 1.45–4.95) for an increase of 100 mg/dL of glucose, and 1.31 (95% CI: 1.12–1.55) for an increase of 100 U/L of LDH. No evidence of association was observed for lymphocytes and ferritin in multivariable analysis. Men had a higher COVID-19 mortality risk than women (HR = 1.75; 95% CI: 1.07–2.80) and age showed the strongest effect with a rapid increase from 60 years. These findings using JM confirm the usefulness of biomarkers in assessing COVID-19 severity and mortality. Monitoring trend patterns of such biomarkers can provide additional help in tailoring the appropriate care pathway.

Published
2024
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27. Evaluation of an Online Course Promoting Health and Wellbeing for University Students and Employees

Author

Federico Ricci, Alberto Modenese, Fabriziomaria Gobba, and Isabella Morlini

Subjects
healthy eating, non-sedentary lifestyles, e-learning, knowledge, attitudes, behavior, Public aspects of medicine, RA1-1270, Psychology, BF1-990
Abstract

Published studies dealing with health promotion activities, such as the improvement of physical activity and healthy eating, for workers and students prove the effectiveness of these preventive interventions. The consequent benefits include better prevention of cardiovascular risk and an improvement in quality of life. Considering this, an intervention aimed at promoting healthy eating and non-sedentary lifestyles has been implemented within an Italian university: the aim of the present research is to evaluate its effectiveness. The intervention consisted of a targeted asynchronous e-learning two-hour course on healthy eating and non-sedentary lifestyles. The attendants were 2004 university students and employees. We conducted two surveys before and after the training intervention, and, through the responses obtained, we evaluated the effectiveness of the intervention. We applied different statistical methods, including unpaired t-tests and nonparametric tests, principal components and cluster analysis. Our results indicate that the post-training knowledge has been significantly improved, compared to that pre-training (7.3 vs. 8.7, p < 0.001). Moreover, the whole sample showed an improved awareness of the importance of healthy behaviors, and perception of the University as an institution promoting a healthy lifestyle. Through the principal components analysis, we identified a unidimensional latent factor named “health and behaviors”. The cluster analysis highlighted that the sub-group reporting the lowest scores at the survey before the training was the one with the highest improvement after the intervention. To the best of our knowledge, this is the first Italian study testing, before and after a health promotion intervention, the knowledge and the attitudes and behaviors towards healthy lifestyles of a group of students and workers. Moreover, we also evaluated the pre- and post-intervention perceived health status, as well as the level of engagement of the attendants, with respect to their colleagues and management in an educational institution promoting wellbeing. The conclusions of our study support the need for further adoption of health promotion training interventions, similar to the one we performed, in order to improve healthy eating and non-sedentary behaviors among workers and students.

Published
2022
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30. The LHCb Upgrade I

Author

Ayres Rocha, D, Baptista de Souza Leite, J, Bediaga, I, Cruz Torres, M, De Freitas Carneiro Da Graca, U, De Miranda, J, dos Reis, A, Falcao, L, Gomes, A, Massafferri, A, Torres Machado, D, Amato, S, De Paula, L, Ferreira Rodrigues, F, Gandelman, M, Hicheur, A, Lopes, J, Meyer Garcia, L, Nasteva, I, Otalora Goicochea, J, Polycarpo, E, Rangel, M, Souza De Almeida, F, Souza De Paula, B, Dong, C, Gan, Y, Gong, G, Gu, C, Hu, X, Kang, Y, Li, A, Luo, Y, Mu, H, Qi, H, Qin, N, Qu, S, Ren, Z, Tan, Y, Tou, D, Wang, J, Wang, Z, Xu, L, Yang, D, Zeng, M, Zhang, L, Zhu, X, Batsukh, B, Chen, S, Jiang, X, Li, T, Li, Y, Liu, S, Lu, Y, Miao, D, Sheng, S, Tobin, M, Zou, Q, Dai, X, Gao, Y, Hu, W, Shang, Y, Shen, Z, Tong, X, Wan, G, Wei, Y, Xu, A, Yang, X, Yang, Z, Zhang, C, Zhang, S, Zhang, Y, Zhou, T, Ao, D, Campoverde Quezada, A, Fan, Y, Fu, J, Hao, L, He, J, Huang, W, Jiang, Y, Lin, C, Liu, H, Liu, Q, Lyu, X, Ma, R, Piandani, R, Popov, D, Qian, W, Shi, B, Su, Y, Tuci, G, Xiang, Z, Xu, J, Xu, Q, Xu, Z, Yang, S, Yang, Y, Zheng, Y, Zhou, X, Zhou, Y, Zhu, Z, Han, Q, Hou, R, Li, K, Li, S, Wang, G, Wang, Y, Wu, J, Xie, Y, Yin, H, Zhang, D, Bachiller Perea, I, Brunetti, L, Chefdeville, M, Decamp, D, Downes, A, Hou, Y, Lieunard, B, Marchand, J, Minard, M, Normand, C, Peltier, F, Pietrzyk, B, T'Jampens, S, Vouters, G, Achard, C, Afsharnia, H, Ajaltouni, Z, Chanal, H, Cogneras, E, Daniel, J, Daudon, F, Deschamps, O, Gasq, C, Hamrat, S, Insa, C, Lefevre, R, Magne, M, Miralles, T, Monteil, S, Perret, P, Pillet, N, Ramaherison, J, Sazak, H, Soares Lavra, L, Tisserand, V, Vandaele, R, Arnaud, K, Aslanides, E, Benane, G, Cachemiche, J, Cerasoli, J, Chen, C, Cogan, J, Dedu, V, Duval, P, Hachon, F, Jevaud, M, Le Gac, R, Leroy, O, Mancinelli, G, Olive, P, Poluektov, A, Rethore, F, vom Bruch, D, Amhis, Y, Baltazar, M, Barsuk, S, Beigbeder-Beau, C, Briere, M, Burmistrov, L, Chaumat, V, Duarte, O, Fang, B, Guittiere, M, Khreich, G, Machefert, F, Malkinski, K, Mancuso, C, Nguyen Trung, T, Nicolini, J, Pietrzyk, G, Puill, V, Reynet, D, Robbe, P, Rosier, P, Rudnyckyj, F, Saussac, A, Schune, M, Shimizu, Y, Socha, J, Taurigna Quere, M, Volle, F, Wormser, G, Yeroshenko, V, Zhovkovska, V, Audurier, B, Balagura, V, Boente Garcia, O, Fleuret, F, Garcia Rosales, F, Mattioli, K, Maurice, E, Agapopoulou, C, Amalric, R, Bailly-Reyre, A, Ben-Haim, E, Billoir, P, Charles, M, Del Buono, L, Fontana, M, Fulghesu, T, Garroum, N, Gligorov, V, Grammatico, T, Le Dortz, O, Meunier, J, Mogini, A, Polci, F, Scarabotto, A, Terront, D, Vincent, P, Basels, J, Carus, L, Escher, S, Guth, A, Heuel, J, Jage, H, Karpinski, W, Kirn, T, Kretzschmar, S, Langenbruch, C, Louis, D, Materok, M, Moise, R, Nieswand, S, Oeser, T, Sarpis, G, Schael, S, Schmitt, S, Wlochal, M, Zhukov, V, Albrecht, J, Battig, A, Becker, M, Bieker, M, Blank, J, Boelhauve, J, Calefice, L, Dall'Occo, E, De Vellis, F, Deckenhoff, M, Dembinski, H, Domke, M, Ekelhof, R, Ellbracht, J, Fuehring, Q, Gavardi, L, Gerken, L, Hollitt, S, Ibis, P, Jevtic, 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V., Congedo L., d'Argent P., De Serio M., Debernardis F., Fini R. A., Galati G., Palano A., Pappagallo M., Pastore A., Simone S., Tagliente G., Balbi G., Capriotti L., Carbone A., Ferrari F., Galli D., Manuzzi D., Marconi U., Patrignani C., Perazzini S., Spedicato E., Vagnoni V., Valenti G., Villa A., Zucchelli S., Andreotti M., Baldini W., Biesuz N. V., Bolzonella R., Bozzi C., Calabrese R., Carassiti V., Cavallini V., Chiozzi S., Ciullo G., Cotta Ramusino A., Fiorini M., Franzoso E., Giugliano C., Guarise M., Lenisa P., Luppi E., Malaguti R., Neri I., Okamura S., Pappalardo L. L., Passalacqua B., Siddi B. 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R., Krzemien W., Melnychuk D., Szabelski A., Ukleja A., Wislicki W., Cojocariu L., Ene A., Grecu A. T., Hutanu O. E., Maciuc F., Placinta V., Andreianov A., Artamonov A., Baryshnikov F., Belous K., Belov I., Belyaev I., Berezhnoy A., Bochin B., Bogdanova G., Boldyrev A., Bondar N., Butkevich A., Chernov E., Chubykin A., Chulikov V., Dadabaev S., Danilina A., Diachkov I., Didenko S., Dolmatov A., Dzyuba A., Egorychev V., Filippov S., Getz S. A., Golubkov D., Golutvin A., Gorelov I. V., Gromov S., Gushchin E., Guz Y., Hushchyn M., Ilin D., Inglessi A., Iniukhin A., Ishteev A., Ivshin K., Karpenkov D., Karpov M., Kharisova A., Kholodenko S., Kondybayeva A., Konoplyannikov A., Korolev M., Kozachuk A., Kozlov V. S., Kravchenko P., Kravchuk L., Krokovny P., Kudryavtsev V., Kulikova E. K., Kvaratskheliya T., Lantwin O., Leflat A., Legotin S., Luchuk S., Lukianov A., Maevskiy A., Maisuzenko D., Malinin A., Maltsev T., Matiunin V., Mokhnenko S., Nazarov E., Neustroev P., Nikitin N., Obraztsov V., Ovsiannikova T., Panshin G., Pavlenko D., Pereima D., Philippov A., Polukhina N., Polyakov V., Poslavskii S., Ratnikov F., Romanovskiy V., Ryzhikov A., Sagidova N., Saranin D., Savrina D., Semennikov A., Shapkin M., Shchemerov I., Shekhtman L., Shevchenko V., Shmanin E., Shorkin R., Solomin A., Solovev A., Solovyev I., Spiridenkov E., Stenyakin O., Strekalina D., Ustyuzhanin A., Vagner A., Volkov V., Vorobyev A., Vorobyev V., Voropaev N., Zharkova A., Zvyagintsev S., Alfonso Albero A., Garcia Moreno P., Garrido L., Gascon D., Gironella Gironell P., Gomez Fernandez S., Grauges E., Lobo Salvia A., Lopez Huertas A., Manera Escalero R., Marin Benito C., Mauricio J., Picatoste Olloqui E., Vazquez Gomez R., Adeva B., Baladron Rodriguez P., Belin S., Brea Rodriguez A., Brossa Gonzalo A., Casais Vidal A., Chobanova V., Cid Vidal X., Corredoira I., Dalseno J., Dieste Maronas L., Eirea Orro C., Fernandez Gomez M., Fernandez Prieto A., Gallas Torreira A., Garcia Plana B., Gioventu A., Landesa Gomez C., Lemos Cid E., Lomba Castro J., Lopez Solino S., Martinez Santos D., Mombacher T., Novoa Fernandez J., Pazos Alvarez A., Pereiro Castro A., Perez Trigo E., Plo Casasus M., Prouve C., Rodriguez Fernandez E., Rodriguez Rodriguez E., Romero Lamas M., Romero Vidal A., Ruiz Fernandez R. A., Saborido Silva J. J., Santamarina Rios C., Sellam S., Van Hulse C. B., Vazquez Regueiro P., Jaimes Elles S. J., Jashal B. K., Martinez Vidal F., Mazorra de Cos J., Oyanguren A., Rebollo De Miguel M., Remon Alepuz C., Ruiz Vidal J., Sanderswood I., Alessio F., An L., Batista Lopes J. C., Betti F., Boyer A., Bregliozzi G., Brodski M., Burr C., Buytaert J., Byczynski W., Caillet A., Calegari D., Cattaneo M., Cavallero G., Chadaj B., Charpentier Ph., Ciezarek G., Cifra P., Clemencic M., Closier J., Coco V., Collins P., Colombo T., Corti G., Couturier B., D'Ambrosio C., de Boer J., de Oliveira R., Denis C., Dijkstra H., Dufour L., Dumps R., Durante P., Feo M., Fernandez Declara P., Ferreira R., Ferro-Luzzi M., Forty R., Fournier C., Frank M., Frei C., Galka M., Gambetta S., Gaspar C., Gebolis P. M., Gkougkousis E. L., Granado Cardoso L. A., Grub N., Gys T., Haen C., Haimberger J., Halvorsen M. M., Hasse C., Hatch M., Hemmer F. H., Henry L., Jacobsson R., Jakobsen S., Jamet O., Jost B., Jurik N., Karacson M., Kaufmann K., Keizer F., Krawczyk R. D., Lacarrere D., Lemaitre F., Li P., Lindner R., Martinazzoli L., Matev R., Mathe Z., Mazurek M., Milovanovic M., Morris A. B., Muller D., Nanut T., Neufeld N., Pais P. R., Pearce A., Pepe Altarelli M., Perro A., Piedigrossi D., Pisani F., Polyakov I., Ponce S., Pons X., Redi F., Rochet J., Rolf D. L., Roloff P., Roy L., Ruf T., Salomoni M., Schindler H., Schmidt B., Schneider T., Schopper A., Schwemmer R., Sciuccati A., Sestak J., Seyfert P., Sriskaran V., Stagni F., Stahl M., Stahl S., Stein E. N., Szymanski M., Teubert F., Thomas E., Valassi A., Valat S., Van Stenis M., Vazquez Sierra C., Viana Barbosa J. V., Viel K. J., Voneki B., Wyllie K., Zenaiev O., Bachmayer M., Bay A., Bernard F., Blanc F., Bouchiba S. A., Celani S., Cholak S., De Cian M., Ek-In S., Faria M., Ferreira Lopes L., Frei R., Girard O. G., Graverini E., Haefeli G., Hill D., Hopchev P. H., Kirsebom V. S., Kuonen A. K., Macko V., Nakada T., Niel E. M., Quagliani R., Rodrigues A. B., Schneider O., Schulte S., Shchutska L., Stramaglia M. E., Trippl C., Van Dijk M., Venkateswaran A., Vieites Diaz M., Zaffaroni E., Abellan Beteta C., Andersson M., Atzeni M., Bellee V., Bernet R., Betancourt C., Bezshyiko Ia., Buonaura A., Craik D. C., De Simone D., Denysenko V., Eschle J., Esen S., Ferrillo M., Lancierini D., Manzari C. A., Mathad A., Meier-Villardita L., Muller K., Owen P., Serra N., Smith E., Steinkamp O., Terentev A., Kandybei S., Chernyshenko S., Dobishuk V., Koliiev S., Kot O., Pugatch V., Cooke N., Plews J., Sahoo N., Slater M. W., Swallow P. N., Thompson D. J. D., Watson N. K., Adinolfi M., Amey J. L., Bhasin S., Chapman M. G., Clark K., Lane R., Maddrell-Mander S., Madhan Mohan L. R., Marshall A. M., Naik P., Petridis K., Pomery G. J., Rademacker J. H., Reich J., Trilov S. M., Velthuis J. J., Wang R., Westhenry B. D. C., Alvarez Cartelle P., Bartolini M., Bishop F. C. R., Blago M. P., Cliff H. V., Foulds-Holt D., Garsed P. J., Gibson V., Haines S. C., Jones C. R., Lovell G. H., Sigurdsson S., Smeaton J. G., Williams I., Williams R., Wotton S. A., Abdelmotteleb A. S. W., Abudinen F., Back J. J., Beck A., Blake T., Cicala M. F., Garcia Martin L. M., Gershon T., Henderson R. D. L., Hunter R. J., Jones T. P., Kenzie M., Kreps M., Latham T., Lupton O., Millard E., Monk M., Morris A. G., Muhammad E., Pagare B., Paolucci L., Ramos Pernas M., Vesterinen M., Ward J. A., Wiederhold A. R., Xu M., Barclay P., Booth M. J., Brummitt A. J., Canfer S., Easo S., Lin T., Loveridge P., Nandakumar R., O'Dell J., Papanestis A., Ricciardi S., Richards D. S., Wilson F. F., Barter W., Clarke P. E. L., Cowan G. A., Currie R., Eisenhardt S., Gizdov K., Luo H., Masic B., Mitchell S. E., Muheim F., Needham M., Oliva F., O'Neil R. H., Ozcelik O., Petrucci S., Richardson-Slipper M., Robertson G., Vrahas C., Webster J., Williams M. R. J., Alexander M., Ashby J., Bobulska D., Doherty F., Douglas L., Flores L., Friday D. A., Grant F., Grillo L., Longstaff I., McHugh N. T., Naik S. A., Schiller M., Soler F. J. P., Spradlin P., Whitehead M., Wraight K., Ackernley T., Bowcock T. J. V., Bridges K., Brown J., Carroll J., Casse G., Chadwick A. J., Chavez Barajas C. A., Farry S., Franco Lima V., Halewood-Leagas T., Hammerich J., Harrison T., Hennessy K., Hutchcroft D., Marshall P. J., Mead J. V., Rinnert K., Rodrigues E., Scherl S., Shears T., Smith N. A., Thomson K. A., Vilella Figueras E., Wormald M., Yeomans L. E., Birch M., Bradley M. J., Ely S., Herd J., McCann M., Murta R., Newcombe R., Patel M., Smith M., Tilquin H., van Herwijnen E., Websdale D., Aliouche Z., Barlow R. J., Bertella C., Bitadze A., Borghi S., Burke A. T., Cobbledick J. L., Davies J. E., Davis A., De Aguiar Francisco O., De Capua S., Dutta D., Ejopu E., Elvin A., Evans T., Fitzpatrick C., Freestone J., Fuzipeg C., Gersabeck E., Gersabeck M., Hansen E. B., Hilton M., Horswill J., Lafferty G., Lane J. J., Langstaff M., Lupato A., McGrath T. H., McNab A., Miller G., Murray D., Pan Y., Parkes C., Perry M., Reiss F., Rodriguez Perez P., Skidmore N., Svihra P., Taneja S., White D. J., Yeung H., Zunica G., Brock M., Cervenkov D., Fischer K. M., Gao R., Gilman A. L., Goncalves Abrantes F., Gruberg Cazon B. R., Harnew N., John M., Kariuki J. M., Lowe A. D., Mackay I., Malde S., Mohammed R. A., Murphy C. H., Pajero T., Pili M., Resmi P. K., Rollings A., Scantlebury Smead L. G., Smallwood J. C., Stanislaus S., Suljik F., Tat M. D., Topp-Joergensen S., Wilkinson G., Delaney B., Hennequin A. M., Johnson D., Kitouni O., Nolte N. S., Richardson K., Williams M., Akar S., Boettcher T., Elashri M. E., Epple E., Grieser N. A., Henderson C., Ilten P., Kautz J. W., Meadows B., Nowak G. N., Pappenheimer C., Slattery K., Sokoloff M. D., Vieira D., Wilkinson M. K., Andrews J. E., Braun S., Davis J., Fernez A. D., Franco Sevilla M., Hadjivasiliou C., Hamilton P. M., Jawahery A., Jiang E., Lutz L. F., O'Bannon T., Parker W., Sun Y., Wimberley J., Da Silva C. L., Dean C. T., Durham J. M., Smith K., Van Hecke H., Wong C. P., Andreou D., Artuso M., Beiter A., Bernstein H. C., Blusk S., Brown C., Buda L., Ding S., Frelier J., Germann D., Guerin S., Keller D. M., Kuhlman A., Li Z., Liang X., Mountain R., Pham H., Pratt D., Rajagopalan R., Rudolph M. S., s Sherman M., Shupperd J. D., Silva Coutinho R., Skwarnicki T., Stone S., Wu H., Yuan X., Egede U., Hadavizadeh T., Singla M., Song R., Walton E. J., Gobel C., Dai L., Yu J., Bursche A., Li H., Liu G., Wang X., Li P. -R., Bian L., Cai H., Huang X., Sun L., Milanes D. A., Monroy I. A., Rodriguez Lopez J. A., Grabowski J. P., Mikhasenko M., Neubert S., Padeken K. O., Sarpis M., Dey B., Duk V., Fantini L., Lollini R., Martelli G., Piccini M., De Bruyn K., Mulder M., Onderwater C. J. G., Bolognani C. S., Campora Perez D. H., de Vries J. A., Lucio Martinez M., Nicotra D., Pawley C. J., Vos K., Duda P., Duras M. M., Felkowski L. F., Kubis S., Bernet Andres S., Calvo Gomez M., Golobardes E., Valls Canudas N., Vilasis-Cardona X., Adlarson P., Eklund L., Kupsc A., Aidala C. A., Chahrour I., Fitzgerald D. S., Lee S. H., Nunez C., Roth J. D., Shangase D. M., Boiaryntseva I., Boyaryntsev A., Grynyov B., Bezshyyko O., Golinka-Bezshyyko L., Orlov V., and Steffens E.

Abstract

The LHCb upgrade represents a major change of the experiment. The detectors have been almost completely renewed to allow running at an instantaneous luminosity five times larger than that of the previous running periods. Readout of all detectors into an all-software trigger is central to the new design, facilitating the reconstruction of events at the maximum LHC interaction rate, and their selection in real time. The experiment's tracking system has been completely upgraded with a new pixel vertex detector, a silicon tracker upstream of the dipole magnet and three scintillating fibre tracking stations downstream of the magnet. The whole photon detection system of the RICH detectors has been renewed and the readout electronics of the calorimeter and muon systems have been fully overhauled. The first stage of the all-software trigger is implemented on a GPU farm. The output of the trigger provides a combination of totally reconstructed physics objects, such as tracks and vertices, ready for final analysis, and of entire events which need further offline reprocessing. This scheme required a complete revision of the computing model and rewriting of the experiment's software.

Published
2024

32. An Overview of Reviews on Predictors of Neurorehabilitation in Surgical or Non-Surgical Patients with Brain Tumours.

Author

Gambarin, Mattia, Malgrati, Tullio, Di Censo, Rita, Modenese, Angela, Balestro, Giulio, Muti, Gloria, Cappellesso, Marta, Fonte, Cristina, Varalta, Valentina, Gallinaro, Ylenia, Pinto, Monica, Carlucci, Matilde, Picelli, Alessandro, and Smania, Nicola

Subjects
BRAIN tumors, CENTRAL nervous system, COGNITIVE rehabilitation, BRAIN cancer, ADJUVANT chemotherapy
Abstract

(1) Background. People suffering from brain cancer, regardless of histological tumour characteristics, often experience motor disturbances, cognitive–behavioural difficulty, language impairments, and functional and social limitations. The current treatment approach entails surgery and adjuvant therapy such as chemotherapy and radiotherapy combined with intensive rehabilitation. The primary focus of rehabilitation is usually motor and functional recovery, without specifically addressing the patient's quality of life. The present systematic review identifies and evaluates the predictors of functional and cognitive rehabilitation outcomes and their influence on quality of life in adult patients with brain cancer. (2) Methods. Three electronic databases (PubMed, Elsevier, Cochrane) were searched for reviews about functional, cognitive, and quality-of-life outcomes in patients with central nervous system tumours, including articles published between January 2018 and May 2024. (3) Results. The search retrieved 399 records, 40 of which were reviewed. Five main areas of predictive factors were identified: diagnosis, therapy, complications, outcomes (in the motor, cognitive, and quality-of-life categories), and tailored rehabilitation. (4) Conclusions. These indicators may inform integrated care pathways for patients with primary central nervous system tumours. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Factors Associated with SARS-CoV-2 Infection Evaluated by Antibody Response in a Sample of Workers from the Emilia-Romagna Region, Northern Italy

Author

Stefania Paduano, Michele Granata, Sara Turchi, Alberto Modenese, Pasquale Galante, Alessandro Poggi, Isabella Marchesi, Giuseppina Frezza, Giulia Dervishaj, Roberto Vivoli, Sara Verri, Simona Marchetti, Fabriziomaria Gobba, and Annalisa Bargellini

Subjects
COVID-19, immune response, SARS-CoV-2, workers, antibody, case–control study, Immunologic diseases. Allergy, RC581-607
Abstract

Factors associated with SARS-CoV-2 infection risk are still debated. This case–control study aims to investigate the possible relationship between SARS-CoV-2 infection, evaluated through antibody response, and the main sociodemographic, occupational, clinical-anamnestic, and biochemical factors in a population of Modena province (Northern Italy), mainly workers. Both workers who voluntarily joined the screening campaign proposed by companies and self-referred individuals who underwent serological testing were enrolled. Subjects with antibody positivity were recruited as cases (n = 166) and subjects tested negative (n = 239) as controls. A questionnaire on sociodemographic, occupational, and clinical data was administered through telephone interviews. Serum zinc/iron/copper/chromium/nickel, vitamins D/B12, folates, triglycerides, and LDL/HDL/total cholesterol were measured. Cases lived more often in urban areas (61.8% vs. 57%). Cases and controls did not differ significantly by working macrocategories, but the percentage of workers in the ceramic sector was higher among cases. Low adherence to preventive measures in the workplace was more frequent among seropositives. Folate concentration was significantly lower among cases. Therefore, adequate folate levels, living in rural areas, and good adherence to preventive strategies seem protective against infection. Workers in the ceramic sector seem to be at greater risk; specific factors involved are not defined, but preventive interventions are needed.

Published
2023
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34. A Multi-Center Study Investigating Long COVID-19 in Healthcare Workers from North-Eastern Italy: Prevalence, Risk Factors and the Impact of Pre-Existing Humoral Immunity—ORCHESTRA Project

Author

Luca Cegolon, Marcella Mauro, Donatella Sansone, Alice Tassinari, Fabrizio Maria Gobba, Alberto Modenese, Loretta Casolari, Filippo Liviero, Sofia Pavanello, Maria Luisa Scapellato, Francesco Taus, Angela Carta, Gianluca Spiteri, Maria Grazia Lourdes Monaco, Stefano Porru, and Francesca Larese Filon

Subjects
long COVID-19, SARS-CoV-2, post-infective symptoms, asthenia, pandemic waves, viral shedding time, Medicine
Abstract

Introduction: The impact of long-COVID-19 syndrome is rather variable, since it is influenced by several residual confounders. This study aimed to investigate the prevalence of long COVID-19 in healthcare workers (HCWs) from four university hospitals in north-eastern Italy: Trieste, Padua, Verona, and Modena-Reggio Emilia. Methods: During the period June 2022–August 2022, HCWs were surveyed for past COVID-19 infections, medical history, and any acute as well as post-COVID-19 symptoms. The prevalence of long COVID-19 was estimated at 30–60 days or 61+ days since first negative swab following first and second COVID-19 episode. Furthermore, the risk of long COVID-19 was investigated by multivariable logistic regression. Results were expressed as the adjusted odds ratio (aOR) with a 95% confidence interval (95%CI). Results: 5432 HCWs returned a usable questionnaire: 2401 were infected with SARS-CoV-2 at least once, 230 were infected at least twice, and 8 were infected three times. The prevalence of long COVID-19 after a primary COVID-19 infection was 24.0% at 30–60 days versus 16.3% at 61+ days, and 10.5% against 5.5% after the second SARS-CoV-2 event. The most frequent symptoms after a first COVID-19 event were asthenia (30.3%), followed by myalgia (13.7%), cough (12.4%), dyspnea (10.2%), concentration deficit (8.1%), headache (7.3%), and anosmia (6.5%), in decreasing order of prevalence. The risk of long COVID-19 at 30–60 days was significantly higher in HCWs hospitalized for COVID-19 (aOR = 3.34; 95%CI: 1.62; 6.89), those infected with SARS-CoV-2 during the early pandemic waves—namely the Wuhan (aOR = 2.16; 95%CI: 1.14; 4.09) or Alpha (aOR= 2.05; 95%CI: 1.25; 3.38) transmission periods—and progressively increasing with viral shedding time (VST), especially 15+ days (aOR = 3.20; 95%CI: 2.07; 4.94). Further determinants of long COVID-19 at 30–60 days since primary COVID-19 event were female sex (aOR = 1.91; 95%CI: 1.30; 2.80), age >40 years, abnormal BMI, or administrative services (reference category). In contrast, HCWs vaccinated with two doses before their primary infection (aOR = 0.57; 95%CI: 0.34; 0.94), undergraduate students, or postgraduate medical trainees were less likely to experience long COVID-19 at 30–60 days. Apart from pandemic waves, the main determinants of long COVID-19 at 30–60 days were confirmed at 61+ days. Conclusions: The risk of long COVID-19 following primary infection increased with the severity of acute disease and VST, especially during the initial pandemic waves, when more virulent viral strains were circulating, and susceptibility to SARS-CoV-2 was higher since most HCWs had not been infected yet, COVID-19 vaccines were still not available, and/or vaccination coverage was still building up. The risk of long COVID-19 therefore decreased inversely with humoral immunity at the individual level. Nevertheless, the prevalence of long COVID-19 was remarkably lower after SARS-CoV-2 reinfections regardless of vaccination status, suggesting that hybrid humoral immunity did not increase protection against the syndrome compared to immunity mounted by either natural infection or vaccination separately. Since the risk of long COVID-19 is currently low with Omicron and patients who developed the syndrome following SARS-CoV-2 infection in the early pandemic waves tend to return to a state of full health with time, a cost-effective approach to screen post-COVID-19 symptoms during the Omicron time could be restricted to vulnerable individuals developing severe disease and/or with prolonged VST.

Published
2023
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35. Assessing the quality of evidence in studies estimating prevalence of exposure to occupational risk factors: The QoE-SPEO approach applied in the systematic reviews from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury

Author

Pega, Frank, Momen, Natalie C., Gagliardi, Diana, Bero, Lisa A., Boccuni, Fabio, Chartres, Nicholas, Descatha, Alexis, Dzhambov, Angel M., Godderis, Lode, Loney, Tom, Mandrioli, Daniele, Modenese, Alberto, van der Molen, Henk F., Morgan, Rebecca L., Neupane, Subas, Pachito, Daniela, Paulo, Marilia S., Prakash, K.C., Scheepers, Paul T.J., Teixeira, Liliane, Tenkate, Thomas, Woodruff, Tracey J., and Norris, Susan L.

Published
2022
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37. Digitally measuring solar ultraviolet radiation in outdoor workers: A study protocol for establishing the use of electronic personal dosimeters in Portugal

Author

Marília Silva Paulo, Cara Symanzik, Melanie R. Maia, Luís Velez Lapão, Fernanda Carvalho, Sven Conneman, Jorge Barroso Dias, Fabriziomaria Gobba, Swen Malte John, Tom Loney, Cristina Pinho, Ana Rodrigues, Claudine Strehl, Thomas Tenkate, Marc Wittlich, and Alberto Modenese

Subjects
outdoor workers, occupational health, solar ultraviolet radiation (UVR), digital public health, non-melanoma skin cancer, Public aspects of medicine, RA1-1270
Abstract

IntroductionThe rising incidence of skin cancer over the years has made it a significant public and occupational health issue. However, skin cancer is highly preventable, mainly through reduced exposure to solar ultraviolet radiation (UVR), which can be achieved by a variety of individual and collective protective measures and interventions. The relative risk associated with different patterns of exposure to solar UVR differs for the subtypes of keratinocyte cancers (KC). Specifically, whether the exposure is intermittent or continuous, and occurs in an occupational or leisure/recreational setting. The main aim of the study using this protocol is to contribute to raising public and policy awareness on solar UVR-inflicted occupational skin cancers in Lisbon. This will be achieved by performing direct measurements of the solar UVR dose received by outdoor workers using a digital platform. Results will likely contribute to further understanding the risk estimates for keratinocyte cancer estimations in this population.MethodsA prospective observational study will be conducted in Lisbon, Portugal. Personal electronic dosimeters (GENESIS-UV system) integrated with a digital platform will be used to assess occupational solar UVR doses of gardeners, masons, and gravediggers of the municipality of Lisbon. Two hundred and ten outdoor workers will be selected to wear the dosimeter for 1 month each, between April and October during their daily working hours. A digital web-based platform that offers private access to information through dashboard visualization will provide information for the outdoor workers and facilitate communication with the participants.DiscussionThe expected results of the overall proposal comprise the occupational solar UVR doses, expressed in standard erythemal dose (SEDs) per day of outdoor work for 7 months. Study data will provide outdoor workers with information on their personal solar UVR exposure during their working hours and an estimate of their risk of developing skin cancer. It is expected that the occupational solar UVR doses of the outdoor workers in Portugal will be above the threshold of 1 to 1.33 SED/day, due to the latitude of Lisbon and the nature of the occupations. The results prospectively should flow into the design of adequate prevention campaigns for skin cancer in outdoor workers.

Published
2023
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38. Assessor burden, inter-rater agreement and user experience of the RoB-SPEO tool for assessing risk of bias in studies estimating prevalence of exposure to occupational risk factors: An analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury

Author

Momen, Natalie C., Streicher, Kai N., da Silva, Denise T.C., Descatha, Alexis, Frings-Dresen, Monique H.W., Gagliardi, Diana, Godderis, Lode, Loney, Tom, Mandrioli, Daniele, Modenese, Alberto, Morgan, Rebecca L., Pachito, Daniela, Scheepers, Paul T.J., Sgargi, Daria, Paulo, Marília Silva, Schlünssen, Vivi, Sembajwe, Grace, Sørensen, Kathrine, Teixeira, Liliane R., Tenkate, Thomas, and Pega, Frank

Published
2022
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39. Harmonized definition of occupational burnout : A systematic review, semantic analysis, and Delphi consensus in 29 countries

Author

Canu, Irina Guseva, Marca, Sandy Carla, Dell'Oro, Francesca, Balázs, Ádám, Bergamaschi, Enrico, Besse, Christine, Bianchi, Renzo, Bislimovska, Jovanka, Bjelajac, Adrijana Koscec, Bugge, Merete, Busneag, Carmen Iliana, Çağlayan, Çiğdem, Cernițanu, Mariana, Pereira, Cristiana Costa, Hafner, Nataša Dernovšček, Droz, Nadia, Eglite, Maija, Godderis, Lode, Gündel, Harald, Hakanen, Jari J, Iordache, Raluca Maria, Khireddine-Medouni, Imane, Kiran, Sibel, Larese-Filon, Francesca, Lazor-Blanchet, Catherine, Légeron, Patrick, Loney, Tom, Majery, Nicole, Merisalu, Eda, Mehlum, Ingrid Sivesind, Michaud, Laurent, Mijakoski, Dragan, Minov, Jordan, Modenese, Alberto, Molan, Marija, van der Molen, Henk, Nena, Evangelia, Nolimal, Dusan, Otelea, Marina, Pletea, Elisabeta, Pranjic, Nurka, Rebergen, David, Reste, Jelena, Schernhammer, Eva, and Wahlen, Anny

Published
2021

40. The History and Future of Neuromusculoskeletal Biomechanics.

Author

Lloyd, David G., Jonkers, Ilse, Delp, Scott L., and Modenese, Luca

Subjects
SKELETAL muscle physiology, JOINT physiology, CENTRAL nervous system physiology, TENDON physiology, PERIPHERAL nervous system physiology, SERIAL publications, MUSCULOSKELETAL system physiology, BIOMECHANICS
Abstract

The Executive Council of the International Society of Biomechanics has initiated and overseen the commemorations of the Society's 50th Anniversary in 2023. This included multiple series of lectures at the ninth World Congress of Biomechanics in 2022 and XXIXth Congress of the International Society of Biomechanics in 2023, all linked to special issues of International Society of Biomechanics' affiliated journals. This special issue of the Journal of Applied Biomechanics is dedicated to the biomechanics of the neuromusculoskeletal system. The reader is encouraged to explore this special issue which comprises 6 papers exploring the current state-of the-art, and future directions and roles for neuromusculoskeletal biomechanics. This editorial presents a very brief history of the science of the neuromusculoskeletal system's 4 main components: the central nervous system, musculotendon units, the musculoskeletal system, and joints, and how they biomechanically integrate to enable an understanding of the generation and control of human movement. This also entails a quick exploration of contemporary neuromusculoskeletal biomechanics and its future with new fields of application. [ABSTRACT FROM AUTHOR]

Published
2023
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41. Risk of cutaneous squamous cell carcinoma due to occupational exposure to solar ultraviolet radiation: Protocol for a systematic review and meta-analysis.

Author

Marília Silva Paulo, Cara Symanzik, Balázs Ádam, Fabriziomaria Gobba, Sanja Kezic, Henk F van der Molen, Cheryl E Peters, Marc Rocholl, Thomas Tenkate, Swen Malte John, Tom Loney, Alberto Modenese, and Marc Wittlich

Subjects
Medicine, Science
Abstract

Solar ultraviolet radiation (UVR) is the most significant occupational carcinogenic exposure in terms of the number of workers exposed (i.e., outdoor workers). Consequently, solar UVR-induced skin cancers are among the most common forms of occupational malignancies that are potentially expected globally. This systematic review is registered in PROSPERO (CRD42021295221) and aims to assess the risk of cutaneous squamous cell carcinoma (cSCC) associated to occupational solar UVR exposure. Systematic searches will be performed in three electronic literature databases (PubMed/Medline, EMBASE, and Scopus). Further references will be retrieved by a manual search (e.g., in grey literature databases, internet search engines, and organizational websites). We will include cohort studies and case-control studies. Risk of Bias assessment will be conducted separately for case-control and cohort studies. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) will be used for the certainty of assessment. In case quantitative pooling is not feasible, a narrative synthesis of results will be performed.

Published
2023
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44. Seroprevalence of anti-SARS-CoV-2 antibodies in the Northern Italy population before the COVID-19 second wave

Author

Nausicaa Berselli, Tommaso Filippini, Stefania Paduano, Marcella Malavolti, Alberto Modenese, Fabriziomaria Gobba, Paola Borella, Isabella Marchesi, Roberto Vivoli, Paola Perlini, Rossana Bellucci, Annalisa Bargellini, and Marco Vinceti

Subjects
health personnel, sars-cov-2, covid-19, sars-cov-2 serological testing, seroepidemiologic studies, occupational groups, Medicine
Abstract

Objectives The COVID-19 pandemic is due to SARS-CoV-2 coronavirus infections. It swept across the world in the spring of 2020, and so far it has caused a huge number of hospitalizations and deaths. In the present study, the authors investigated serum anti-SARS-CoV-2 antibody prevalence in the period of June 1–September 25, 2020, in 7561 subjects in Modena, Northern Italy. Material and Methods The study population included 5454 workers referred to testing by their companies, and 2107 residents in the Modena area who accessed testing through self-referral. Results The authors found the overall seroprevalence to be 4.7% (95% confidence interval [CI] 4.2–5.2%), which was higher in women (5.4%, 95% CI: 4.5–6.2%) than in men (4.3%, 95% CI: 3.7–4.9%), and in the oldest age groups (7.3%, 95% CI: 5.2–9.3% for persons aged 60–69 years, and 11.8%, 95% CI: 8.6–15.1%, for persons aged ≥70 years). Among the occupational categories, the highest seroprevalence was found in healthcare workers (8.8%, 95% CI: 7.0–10.5%), dealers and vehicle repairers (5.2%, 95% CI: 2.9–7.6%), and workers in the sports sector (4.0%, 95% CI: 1.8–6.1%), while there was little or no such evidence for those employed in sectors such as transport and storage, accommodation and restaurant services, and the school system. Conclusions These results have allowed, for the first time, to assess population seroprevalence in this area of Italy severely hit by the epidemic, while at the same time identifying the subgroups at a higher risk of exposure to SARS-CoV-2. Int J Occup Med Environ Health. 2022;35(1):63–74

Published
2021
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47. Nutritional demand of 'Grande Naine' and 'Prata Comum' banana bunches in two growing seasons

Author

Cibelle Tamiris de Oliveira, Danilo Eduardo Rozane, Levi Godke Faber Pavarin, Henrique Shiniyti Akamine, Silvia Helena Modenese Gorla da Silva, and Juliana Domingues Lima

Subjects
Musa spp, nutrient accumulation, nutrient export, Plant culture, SB1-1110
Abstract

Abstract The quantification of nutrients accumulated and exported by banana bunches provides information on the crop nutritional requirements. Thus, the aim of this work was to determine the nutritional demand of 'Grande Naine' and 'Prata Comum' banana bunches in the region of Vale do Ribeira, state of São Paulo. Bunch sampling was carried out in six harvest seasons, summer, and winter. The results of dry matter production and nutrient accumulation in bunches were submitted to analysis of variance. Relative growth rates (TCR), organogenic net accumulation (TALON), export and order of nutrient accumulation in bunches were estimated. K and N were the nutrients most accumulated and exported by both cultivars. In har-vest period 5 (commercial harvest), more dry matter was produced in the summer and more nutrients were accumulated in the winter. The highest TCR values were observed between periods 2 and 3 in the summer and between 0 and 1 in the winter, but it did not always follow TALON. The results obtained are important to adapt the nutritional management of these cultivars to the study region, especially in relation to the growing season, due to the longer permanence of the bunch on the plant in the winter and greater demand for nutrients until commercial harvest.

Published
2022
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48. Estimation of the firing behaviour of a complete motoneuron pool by combining electromyography signal decomposition and realistic motoneuron modelling.

Author

Arnault H Caillet, Andrew T M Phillips, Dario Farina, and Luca Modenese

Subjects
Biology (General), QH301-705.5
Abstract

Our understanding of the firing behaviour of motoneuron (MN) pools during human voluntary muscle contractions is currently limited to electrophysiological findings from animal experiments extrapolated to humans, mathematical models of MN pools not validated for human data, and experimental results obtained from decomposition of electromyographical (EMG) signals. These approaches are limited in accuracy or provide information on only small partitions of the MN population. Here, we propose a method based on the combination of high-density EMG (HDEMG) data and realistic modelling for predicting the behaviour of entire pools of motoneurons in humans. The method builds on a physiologically realistic model of a MN pool which predicts, from the experimental spike trains of a smaller number of individual MNs identified from decomposed HDEMG signals, the unknown recruitment and firing activity of the remaining unidentified MNs in the complete MN pool. The MN pool model is described as a cohort of single-compartment leaky fire-and-integrate (LIF) models of MNs scaled by a physiologically realistic distribution of MN electrophysiological properties and driven by a spinal synaptic input, both derived from decomposed HDEMG data. The MN spike trains and effective neural drive to muscle, predicted with this method, have been successfully validated experimentally. A representative application of the method in MN-driven neuromuscular modelling is also presented. The proposed approach provides a validated tool for neuroscientists, experimentalists, and modelers to infer the firing activity of MNs that cannot be observed experimentally, investigate the neuromechanics of human MN pools, support future experimental investigations, and advance neuromuscular modelling for investigating the neural strategies controlling human voluntary contractions.

Published
2022
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50. Recovery of banana seedlings from waterlogging stress with pseudostem residue.

Author

Domingues Lima, Juliana, Passos da Conceição, Mariana, Eduardo Rozane, Danilo, Modenese-Gorla da Silva, Silvia Helena, Nardini Gomes, Eduardo, and da Silva Baldinotti, Heloisa

Subjects
FALL foliage, LEAF area, SPRING, ABIOTIC stress, AUTUMN, BANANAS
Abstract

Floods are increasing worldwide because of the climate change. On the other hand, it is necessary to provide an adequate destination for the large amount of residue produced after banana harvesting. The objective of this study was to evaluate the effect of pseudostem residue on the recovery of banana seedlings subjected to waterlogging. The experiment was carried out in Registry, SP, Brazil, in a greenhouse, in the autumn and spring in 2021, using a design in divided plots with two factors and six repetitions. Waterlogging treatment was carried maintaining a layer of water in pots for three days (72 h). After drainage, pseudostem residue was added to half of the pots. seven days after the start of recovery, detected reduction of 20.3% in height and 28.7% in leaf area, accumulation of soluble carbohydrates in roots and leaves in autumn, reduction in chlorophyll, N, Mg and Zn contents, as well as the activity of POD, SOD and APX enzymes in roots and leaves. The residue proved to be beneficial after stress due to a 37.8% increase in the root area, recovery of Mg and Zn levels in root and leaf, prevention of elevation of activity of POD and SOD enzymes in leaves, APX in root. In the absence of stress, it reduced the activity of antioxidant enzymes; therefore, it should be used regardless of crop area be subject waterlogging. [ABSTRACT FROM AUTHOR]

Published
2024
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