37 results on '"Vargas JJ"'
Search Results
2. Search for massive resonances in dijet systems containing jets tagged as W or Z boson decays in pp collisions at root s=8 TeV
- Author
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Khachatryan, V. Sirunyan, A. M. Tumasyan, A. Adam, W. and Bergauer, T. Dragicevic, M. Eroe, J. Fabjan, C. Friedl, M. Fruehwirth, R. Ghete, V. M. Hartl, C. Hoermann, N. and Hrubec, J. Jeitler, M. Kiesenhofer, W. Knuenz, V. and Krammer, M. Kraetschmer, I. Liko, D. Mikulec, I. Rabady, D. Rahbaran, B. Rohringer, H. Schoefbeck, R. Strauss, J. and Taurok, A. Treberer-Treberspurg, W. Waltenberger, W. and Wulz, C. -E. Mossolov, V. Shumeiko, N. Gonzalez, J. Suarez and Alderweireldt, S. Bansal, M. Bansal, S. Cornelis, T. and De Wolf, E. A. Janssen, X. Knutsson, A. Luyckx, S. and Ochesanu, S. Roland, B. Rougny, R. Van De Klundert, M. and Van Haevermaet, H. Van Mechelen, P. Van Remortel, N. Van Spilbeeck, A. Blekman, F. Blyweert, S. D'Hondt, J. Daci, N. Heracleous, N. Kalogeropoulos, A. Keaveney, J. Kim, T. J. Lowette, S. Maes, M. Olbrechts, A. Python, Q. and Strom, D. Tavernier, S. Van Doninck, W. Van Mulders, P. and Van Onsem, G. P. Villella, I. Caillol, C. Clerbaux, B. and De Lentdecker, G. Dobur, D. Favart, L. Gay, A. P. R. and Grebenyuk, A. Leonard, A. Mohammadi, A. Pernie, L. Reis, T. Seva, T. Thomas, L. Velde, C. Vander Vanlaer, P. and Wang, J. Adler, V. Beernaert, K. Benucci, L. Cimmino, A. and Costantini, S. Crucy, S. Dildick, S. Fagot, A. and Garcia, G. Klein, B. Mccartin, J. Rios, A. A. Ocampo and Ryckbosch, D. Diblen, S. Salva Sigamani, M. Strobbe, N. and Thyssen, F. Tytgat, M. Yazgan, E. Zaganidis, N. and Basegmez, S. Beluffi, C. Bruno, G. Castello, R. Caudron, A. Ceard, L. Da Silveira, G. G. Delaere, C. du Pree, T. and Favart, D. Forthomme, L. Giammanco, A. Hollar, J. and Jez, P. Komm, M. Lemaitre, V. Liao, J. Nuttens, C. and Pagano, D. Pin, A. Piotrzkowski, K. Popov, A. and Quertenmont, L. Selvaggi, M. Marono, M. Vidal Garcia, J. M. Vizan Beliy, N. Caebergs, T. Daubie, E. Hammad, G. H. and Alves, G. A. Correa Martins Junior, M. Martins, T. Dos Reis and Pol, M. E. Junior, W. L. Alda Carvalho, W. Chinellato, J. Custodio, A. Da Costa, E. M. Damiao, D. De Jesus and Martins, C. De Oliveira De Souza, S. Fonseca Malbouisson, H. and Malek, M. Figueiredo, D. Matos Mundim, L. Nogima, H. and Prado Da Silva, W. L. Santaolalla, J. Santoro, A. Sznajder, A. Manganote, E. J. Tonelli Pereira, A. Vilela Bernardes, C. A. Dias, F. A. Fernandez Perez Tomei, T. R. Gregores, E. M. and Mercadante, P. G. Novaes, S. F. Padula, Sandra S. and Aleksandrov, A. Genchev, V. Iaydjiev, P. Marinov, A. and Piperov, S. Rodozov, M. Sultanov, G. Vutova, M. and Dimitrov, A. Glushkov, I. Hadjiiska, R. Kozhuharov, V. and Litov, L. Pavlov, B. Petkov, P. Bian, J. G. Chen, G. M. and Chen, H. S. Chen, M. Du, R. Jiang, C. H. Liang, D. and Liang, S. Plestina, R. Tao, J. Wang, X. Wang, Z. and Asawatangtrakuldee, C. Ban, Y. Guo, Y. Li, Q. Li, W. and Liu, S. Mao, Y. Qian, S. J. Wang, D. Zhang, L. Zou, W. Avila, C. Chaparro Sierra, L. F. Florez, C. Gomez, J. P. Gomez Moreno, B. Sanabria, J. C. Godinovic, N. Lelas, D. Polic, D. Puljak, I. Antunovic, Z. Kovac, M. and Brigljevic, V. Kadija, K. Luetic, J. Mekterovic, D. and Sudic, L. Attikis, A. Mavromanolakis, G. Mousa, J. and Nicolaou, C. Ptochos, F. Razis, P. A. Bodlak, M. Finger, M. Finger, Jr., M. Assran, Y. Elgammal, S. Mahmoud, M. A. Radi, A. Kadastik, M. Murumaa, M. Raidal, M. and Tiko, A. Eerola, P. Fedi, G. Voutilainen, M. Harkonen, J. Karimaki, V. Kinnunen, R. Kortelainen, M. J. Lampen, T. Lassila-Perini, K. Lehti, S. Linden, T. Luukka, P. and Maenpaa, T. Peltola, T. Tuominen, E. Tuominiemi, J. and Tuovinen, E. Wendland, L. Tuuva, T. Besancon, M. and Couderc, F. Dejardin, M. Denegri, D. Fabbro, B. Faure, J. L. Favaro, C. Ferri, F. Ganjour, S. Givernaud, A. and Gras, P. de Monchenault, G. Hamel Jarry, P. Locci, E. and Malcles, J. Nayak, A. Rander, J. Rosowsky, A. Titov, M. and Baffioni, S. Beaudette, F. Busson, P. Charlot, C. and Dahms, T. Dalchenko, M. Dobrzynski, L. Filipovic, N. and Florent, A. de Cassagnac, R. Granier Mastrolorenzo, L. Mine, P. Mironov, C. Naranjo, I. N. Nguyen, M. Ochando, C. and Paganini, P. Salerno, R. Sauvan, J. B. Sirois, Y. and Veelken, C. Yilmaz, Y. Zabi, A. Agram, J. -L. Andrea, J. and Aubin, A. Bloch, D. Brom, J. -M. Chabert, E. C. and Collard, C. Conte, E. Fontaine, J. -C. Gele, D. and Goerlach, U. Goetzmann, C. Le Bihan, A. -C. Van Hove, P. and Gadrat, S. Beauceron, S. Beaupere, N. Boudoul, G. and Brochet, S. Montoya, C. A. Carrillo De Oliveira, A. Carvalho Antunes Chasserat, J. Chierici, R. Contardo, D. Depasse, P. El Mamouni, H. Fan, J. Fay, J. Gascon, S. and Gouzevitch, M. Ille, B. Kurca, T. Lethuillier, M. and Mirabito, L. Perries, S. Alvarez, J. D. Ruiz Sabes, D. and Sgandurra, L. Sordini, V. Donckt, M. Vander Verdier, P. and Viret, S. Xiao, H. Tsamalaidze, Z. Autermann, C. and Beranek, S. Bontenackels, M. Calpas, B. Edelhoff, M. and Feld, L. Hindrichs, O. Klein, K. Ostapchuk, A. Perieanu, A. Raupach, F. Sammet, J. Schael, S. Sprenger, D. and Weber, H. Wittmer, B. Zhukov, V. Ata, M. Caudron, J. and Dietz-Laursonn, E. Duchardt, D. Erdmann, M. Fischer, R. and Gueth, A. Hebbeker, T. Heidemann, C. Hoepfner, K. and Klingebiel, D. Knutzen, S. Kreuzer, P. Merschmeyer, M. and Meyer, A. Olschewski, M. Padeken, K. Papacz, P. and Reithler, H. Schmitz, S. A. Sonnenschein, L. Teyssier, D. and Thueer, S. Weber, M. Cherepanov, V. Erdogan, Y. and Fluegge, G. Geenen, H. Geisler, M. Ahmad, W. Haj Hoehle, F. Kargoll, B. Kress, T. Kuessel, Y. Lingemann, J. and Nowack, A. Nugent, I. M. Perchalla, L. Pooth, O. Stahl, A. Asin, I. Bartosik, N. Behr, J. Behrenhoff, W. and Behrens, U. Bell, A. J. Bergholz, M. Bethani, A. Borras, K. Burgmeier, A. Cakir, A. Calligaris, L. Campbell, A. and Choudhury, S. Costanza, F. Pardos, C. Diez Dooling, S. and Dorland, T. Eckerlin, G. Eckstein, D. Eichhorn, T. and Flucke, G. Garcia, J. Garay Geiser, A. Gunnellini, P. and Hauk, J. Hellwig, G. Hempel, M. Horton, D. Jung, H. and Kasemann, M. Katsas, P. Kieseler, J. Kleinwort, C. and Kruecker, D. Lange, W. Leonard, J. Lipka, K. Lobanov, A. and Lohmann, W. Lutz, B. Mankel, R. Marfin, I. and Melzer-Pellmann, I. -A. Meyer, A. B. Mnich, J. Mussgiller, A. Naumann-Emme, S. Novgorodova, O. Nowak, F. Ntomari, E. Perrey, H. Pitzl, D. Placakyte, R. Raspereza, A. and Cipriano, P. M. Ribeiro Ron, E. Sahin, M. O. Salfeld-Nebgen, J. Saxena, P. Schmidt, R. Schoerner-Sadenius, T. and Schroeder, M. Spannagel, S. Trevino, A. D. R. Vargas Walsh, R. Wissing, C. Martin, M. Aldaya Blobel, V. Vignali, M. Centis Erfle, J. Garutti, E. Goebel, K. Goerner, M. and Gosselink, M. Haller, J. Hoeing, R. S. Kirschenmann, H. and Klanner, R. Kogler, R. Lange, J. Lapsien, T. Lenz, T. and Marchesini, I. Ott, J. Peiffer, T. Pietsch, N. and Rathjens, D. Sander, C. Schettler, H. Schleper, P. and Schlieckau, E. Schmidt, A. Seidel, M. Sibille, J. Sola, V. Stadie, H. Steinbrueck, G. Troendle, D. Usai, E. and Vanelderen, L. Barth, C. Baus, C. Berger, J. Boeser, C. and Butz, E. Chwalek, T. De Boer, W. Descroix, A. and Dierlamm, A. Feindt, M. Hartmann, F. Hauth, T. Husemann, U. Katkov, I. Kornmayer, A. Kuznetsova, E. Pardo, P. Lobelle Mozer, M. U. Mueller, Th. Nuernberg, A. Quast, G. Rabbertz, K. Ratnikov, F. Roecker, S. Simonis, H. J. and Stober, F. M. Ulrich, R. Wagner-Kuhr, J. Wayand, S. and Weiler, T. Wolf, R. Anagnostou, G. Daskalakis, G. and Geralis, T. Giakoumopoulou, V. A. Kyriakis, A. Loukas, D. and Markou, A. Markou, C. Psallidas, A. Topsis-Giotis, I. and Gouskos, L. Panagiotou, A. Saoulidou, N. Stiliaris, E. and Aslanoglou, X. Evangelou, I. Flouris, G. Foudas, C. and Kokkas, P. Manthos, N. Papadopoulos, I. Paradas, E. and Bencze, G. Hajdu, C. Hidas, P. Horvath, D. Sikler, F. and Veszpremi, V. Vesztergombi, G. Zsigmond, A. J. Beni, N. and Czellar, S. Karancsi, J. Molnar, J. Palinkas, J. and Szillasi, Z. Raics, P. Trocsanyi, Z. L. Ujvari, B. and Swain, S. K. Beri, S. B. Bhatnagar, V. Dhingra, N. and Gupta, R. Kalsi, A. K. Kaur, M. Mittal, M. Nishu, N. and Singh, J. B. Kumar, Ashok Kumar, Arun Ahuja, S. and Bhardwaj, A. Choudhary, B. C. Kumar, A. Malhotra, S. and Naimuddin, M. Ranjan, K. Sharma, V. Banerjee, S. and Bhattacharya, S. Chatterjee, K. Dutta, S. Gomber, B. and Jain, Sa. Jain, Sh. Khurana, R. Modak, A. Mukherjee, S. and Roy, D. Sarkar, S. Sharan, M. Abdulsalam, A. Dutta, D. Kailas, S. Kumar, V. Mohanty, A. K. Pant, L. M. and Shukla, P. Topkar, A. Aziz, T. Chatterjee, R. M. and Ganguly, S. Ghosh, S. Guchait, M. Gurtu, A. Kole, G. and Kumar, S. Maity, M. Majumder, G. Mazumdar, K. Mohanty, G. B. Parida, B. Sudhakar, K. Wickramage, N. Banerjee, S. Dewanjee, R. K. Dugad, S. Bakhshiansohi, H. and Behnamian, H. Etesami, S. M. Fahim, A. Goldouzian, R. and Jafari, A. Khakzad, M. Najafabadi, M. Mohammadi Naseri, M. and Mehdiabadi, S. Paktinat Safarzadeh, B. Zeinali, M. and Felcini, M. Grunewald, M. Abbrescia, M. Barbone, L. and Calabria, C. Chhibra, S. S. Colaleo, A. Creanza, D. De Filippis, N. De Palma, M. Fiore, L. Iaselli, G. Maggi, G. Maggi, M. My, S. Nuzzo, S. Pompili, A. Pugliese, G. Radogna, R. Selvaggi, G. Silvestris, L. Singh, G. and Venditti, R. Verwilligen, P. Zito, G. Abbiendi, G. and Benvenuti, A. C. Bonacorsi, D. Braibant-Giacomelli, S. and Brigliadori, L. Campanini, R. Capiluppi, P. Castro, A. and Cavallo, F. R. Codispoti, G. Cuffiani, M. Dallavalle, G. M. and Fabbri, F. Fanfani, A. Fasanella, D. Giacomelli, P. and Grandi, C. Guiducci, L. Marcellini, S. Masetti, G. and Montanari, A. Navarria, F. L. Perrotta, A. Primavera, F. and Rossi, A. M. Rovelli, T. Siroli, G. P. Tosi, N. and Travaglini, R. Albergo, S. Cappello, G. Chiorboli, M. and Costa, S. Giordano, F. Potenza, R. Tricomi, A. Tuve, C. and Barbagli, G. Ciulli, V. Civinini, C. D'Alessandro, R. and Focardi, E. Gallo, E. Gonzi, S. Gori, V. Lenzi, P. and Meschini, M. Paoletti, S. Sguazzoni, G. Tropiano, A. and Benussi, L. Bianco, S. Fabbri, F. Piccolo, D. Ferro, F. and Lo Vetere, M. Robutti, E. Tosi, S. Dinardo, M. E. and Fiorendi, S. Gennai, S. Gerosa, R. Ghezzi, A. Govoni, P. and Lucchini, M. T. Malvezzi, S. Manzoni, R. A. Martelli, A. and Marzocchi, B. Menasce, D. Moroni, L. Paganoni, M. and Pedrini, D. Ragazzi, S. Redaelli, N. de Fatis, T. Tabarelli and Buontempo, S. Cavallo, N. Di Guida, S. Fabozzi, F. and Iorio, A. O. M. Lista, L. Meola, S. Merola, M. Paolucci, P. Azzi, P. Bacchetta, N. Bisello, D. Branca, A. and Carlin, R. Checchia, P. Dall'Osso, M. Dorigo, T. and Dosselli, U. Galanti, M. Gasparini, F. Gasparini, U. and Giubilato, P. Gozzelino, A. Kanishchev, K. Lacaprara, S. and Margoni, M. Meneguzzo, A. T. Pazzini, J. Pozzobon, N. and Ronchese, P. Simonetto, F. Torassa, E. Tosi, M. Zotto, P. Zucchetta, A. Zumerle, G. Gabusi, M. Ratti, S. P. and Riccardi, C. Salvini, P. Vitulo, P. Biasini, M. Bilei, G. M. Ciangottini, D. Fano, L. Lariccia, P. Mantovani, G. Menichelli, M. Romeo, F. Saha, A. Santocchia, A. and Spiezia, A. Androsov, K. Azzurri, P. Bagliesi, G. and Bernardini, J. Boccali, T. Broccolo, G. Castaldi, R. and Ciocci, M. A. Dell'Orso, R. Donato, S. Fiori, F. Foa, L. and Giassi, A. Grippo, M. T. Ligabue, F. Lomtadze, T. and Martini, L. Messineo, A. Moon, C. S. Palla, F. Rizzi, A. and Savoy-Navarro, A. Serban, A. T. Spagnolo, P. and Squillacioti, P. Tenchini, R. Tonelli, G. Venturi, A. and Verdini, P. G. Vernieri, C. Barone, L. Cavallari, F. Del Re, D. Diemoz, M. Grassi, M. Jorda, C. Longo, E. and Margaroli, F. Meridiani, P. Micheli, F. Nourbakhsh, S. and Organtini, G. Paramatti, R. Rahatlou, S. Rovelli, C. and Santanastasio, F. Soffi, L. Traczyk, P. Amapane, N. and Arcidiacono, R. Argiro, S. Arneodo, M. Bellan, R. Biino, C. Cartiglia, N. Casasso, S. Costa, M. Degano, A. and Demaria, N. Finco, L. Mariotti, C. Maselli, S. Migliore, E. Monaco, V. Musich, M. Obertino, M. M. Ortona, G. and Pacher, L. Pastrone, N. Pelliccioni, M. Angioni, G. L. Pinna and Potenza, A. Romero, A. Ruspa, M. Sacchi, R. Solano, A. Staiano, A. Tamponi, U. Belforte, S. Candelise, V. and Casarsa, M. Cossutti, F. Della Ricca, G. Gobbo, B. and La Licata, C. Marone, M. Montanino, D. Schizzi, A. Umer, T. Zanetti, A. Chang, S. Kropivnitskaya, A. Nam, S. K. and Kim, D. H. Kim, G. N. Kim, M. S. Kong, D. J. Lee, S. and Oh, Y. D. Park, H. Sakharov, A. Son, D. C. Kim, J. Y. Song, S. Choi, S. Gyun, D. Hong, B. Jo, M. and Kim, H. Kim, Y. Lee, B. Lee, K. S. Park, S. K. Roh, Y. Choi, M. Kim, J. H. Park, I. C. Park, S. Ryu, G. and Ryu, M. S. Choi, Y. Choi, Y. K. Goh, J. Kwon, E. and Lee, J. Seo, H. Yu, I. Juodagalvis, A. Komaragiri, J. R. and Castilla-Valdez, H. De La Cruz-Burelo, E. Heredia-de La Cruz, I. Lopez-Fernandez, R. Sanchez-Hernandez, A. Carrillo Moreno, S. Vazquez Valencia, F. Pedraza, I. Salazar Ibarguen, H. A. Casimiro Linares, E. Morelos Pineda, A. and Krofcheck, D. Butler, P. H. Reucroft, S. Ahmad, A. and Ahmad, M. Hassan, Q. Hoorani, H. R. Khalid, S. Khan, W. A. Khurshid, T. Shah, M. A. Shoaib, M. Bialkowska, H. and Bluj, M. Boimska, B. Frueboes, T. Gorski, M. Kazana, M. Nawrocki, K. Romanowska-Rybinska, K. Szleper, M. and Zalewski, P. Brona, G. Bunkowski, K. Cwiok, M. Dominik, W. Doroba, K. Kalinowski, A. Konecki, M. Krolikowski, J. and Misiura, M. Olszewski, M. Wolszczak, W. Bargassa, P. and Silva, C. Beirao Da Cruz E. Faccioli, P. Ferreira Parracho, P. G. Gallinaro, M. Nguyen, F. Antunes, J. Rodrigues and Seixas, J. Varela, J. Vischia, P. Afanasiev, S. Bunin, P. Gavrilenko, M. Golutvin, I. Gorbunov, I. Kamenev, A. and Karjavin, V. Konoplyanikov, V. Lanev, A. Malakhov, A. and Matveev, V. Moisenz, P. Palichik, V. Perelygin, V. and Shmatov, S. Skatchkov, N. Smirnov, V. Zarubin, A. and Golovtsov, V. Ivanov, Y. Kim, V. Levchenko, P. Murzin, V. Oreshkin, V. Smirnov, I. Sulimov, V. Uvarov, L. and Vavilov, S. Vorobyev, A. Vorobyev, An. Andreev, Yu. and Dermenev, A. Gninenko, S. Golubev, N. Kirsanov, M. and Krasnikov, N. Pashenkov, A. Tlisov, D. Toropin, A. and Epshteyn, V. Gavrilov, V. Lychkovskaya, N. Popov, V. and Safronov, G. Semenov, S. Spiridonov, A. Stolin, V. and Vlasov, E. Zhokin, A. Andreev, V. Azarkin, M. Dremin, I. and Kirakosyan, M. Leonidov, A. Mesyats, G. Rusakov, S. V. and Vinogradov, A. Belyaev, A. Boos, E. Dubinin, M. and Dudko, L. Ershov, A. Gribushin, A. Klyukhin, V. and Kodolova, O. Lokhtin, I. Obraztsov, S. Petrushanko, S. and Savrin, V. Snigirev, A. Azhgirey, I. Bayshev, I. and Bitioukov, S. Kachanov, V. Kalinin, A. Konstantinov, D. and Krychkine, V. Petrov, V. Ryutin, R. Sobol, A. and Tourtchanovitch, L. Troshin, S. Tyurin, N. Uzunian, A. and Volkov, A. Adzic, P. Dordevic, M. Ekmedzic, M. and Milosevic, J. Alcaraz Maestre, J. Battilana, C. Calvo, E. and Cerrada, M. Chamizo Llatas, M. Colino, N. De La Cruz, B. and Delgado Peris, A. Dominguez Vazquez, D. Escalante Del Valle, A. Fernandez Bedoya, C. P. Fernandez Ramos, J. Flix, J. and Fouz, M. C. Garcia-Abia, P. Gonzalez Lopez, O. Goy Lopez, S. and Hernandez, J. M. Josa, M. I. Merino, G. Navarro De Martino, E. Perez-Calero Yzquierdo, A. Puerta Pelayo, J. and Quintario Olmeda, A. Redondo, I. Romero, L. Soares, M. S. and Albajar, C. De Troconiz, J. F. Missiroli, M. Brun, H. and Cuevas, J. Fernandez Menendez, J. Folgueras, S. Gonzalez Caballero, I. Lloret Iglesias, L. Brochero Cifuentes, J. A. and Cabrillo, I. J. Calderon, A. Duarte Campderros, J. and Fernandez, M. Gomez, G. Graziano, A. Lopez Virto, A. and Marco, J. Marco, R. Martinez Rivero, C. Matorras, F. and Munoz Sanchez, F. J. Piedra Gomez, J. Rodrigo, T. and Rodriguez-Marrero, A. Y. Ruiz-Jimeno, A. Scodellaro, L. and Vila, I. Vilar Cortabitarte, R. Abbaneo, D. Auffray, E. and Auzinger, G. Bachtis, M. Baillon, P. Ball, A. H. Barney, D. Benaglia, A. Bendavid, J. Benhabib, L. Benitez, J. F. and Bernet, C. Bianchi, G. Bloch, P. Bocci, A. Bonato, A. Bondu, O. Botta, C. Breuker, H. Camporesi, T. and Cerminara, G. Christiansen, T. Colafranceschi, S. D'Alfonso, M. d'Enterria, D. Dabrowski, A. David, A. De Guio, F. and De Roeck, A. De Visscher, S. Dobson, M. Dupont-Sagorin, N. Elliott-Peisert, A. Eugster, J. Franzoni, G. Funk, W. and Giffels, M. Gigi, D. Gill, K. Giordano, D. Girone, M. Glege, F. Guida, R. Gundacker, S. Guthoff, M. and Hammer, J. Hansen, M. Harris, P. Hegeman, J. Innocente, V. Janot, P. Kousouris, K. Krajczar, K. Lecoq, P. and Lourenco, C. Magini, N. Malgeri, L. Mannelli, M. and Masetti, L. Meijers, F. Mersi, S. Meschi, E. Moortgat, F. Morovic, S. Mulders, M. Musella, P. Orsini, L. and Pape, L. Perez, E. Perrozzi, L. Petrilli, A. and Petrucciani, G. Pfeiffer, A. Pierini, M. Pimiae, M. and Piparo, D. Plagge, M. Racz, A. Rolandi, G. Rovere, M. and Sakulin, H. Schafer, C. Schwick, C. Sekmen, S. and Sharma, A. Siegrist, P. Silva, P. Simon, M. Sphicas, P. and Spiga, D. Steggemann, J. Stieger, B. Stoye, M. and Treille, D. Tsirou, A. Veres, G. I. Vlimant, J. R. and Wardle, N. Woehri, H. K. Zeuner, W. D. Bertl, W. and Deiters, K. Erdmann, W. Horisberger, R. Ingram, Q. and Kaestli, H. C. Koenig, S. Kotlinski, D. Langenegger, U. and Renker, D. Rohe, T. Bachmair, F. Baeni, L. Bianchini, L. and Bortignon, P. Buchmann, M. A. Casal, B. 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- Subjects
High Energy Physics::Phenomenology ,High Energy Physics::Experiment - Abstract
A search is reported for massive resonances decaying into a quark and a vector boson (W or Z), or two vector bosons (WW, WZ, or ZZ). The analysis is performed on an inclusive sample of multijet events corresponding to an integrated luminosity of 19.7 fb(-1), collected in proton-proton collisions at a centre-of-mass energy of 8 TeV with the CMS detector at the LHC. The search uses novel jet-substructure identification techniques that provide sensitivity to the presence of highly boosted vector bosons decaying into a pair of quarks. Exclusion limits are set at a confidence level of 95% on the production of: (i) excited quark resonances q* decaying to qW and qZ for masses less than 3.2 TeV and 2.9 TeV, respectively, (ii) a Randall-Sundrum graviton G(RS) decaying into WW for masses below 1.2 TeV, and (iii) a heavy partner of the W boson W’ decaying into WZ for masses less than 1.7 TeV. For the first time mass limits are set on W’ -> WZ and G(RS) -> WW in the all-jets final state. The mass limits on q* -> qW, q* -> qZ, W’ -> WZ, G(RS) -> WW are the most stringent to date. A model with a “bulk” graviton G(bulk) that decays into WW or ZZ bosons is also studied.
- Published
- 2014
3. Search for massive resonances in dijet systems containing jets tagged as W or Z boson decays in pp collisions at root s=8 TeV
- Author
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- Subjects
SPECTRUM ,Hadron-Hadron Scattering ,Astrophysics::High Energy Astrophysical Phenomena ,Physics ,PROTON-PROTON COLLISIONS ,High Energy Physics::Phenomenology ,ATLAS DETECTOR ,Particle and resonance production ,Jet physics ,Jets ,ddc:530 ,HADRON COLLIDERS ,High Energy Physics::Experiment ,LEPTON ,Jet substructure - Abstract
Made available in DSpace on 2015-03-18T15:52:43Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-08-29Bitstream added on 2015-03-18T16:29:24Z : No. of bitstreams: 1 WOS000341763300001.pdf: 727547 bytes, checksum: 8e1621727b5cf68c5b228cc08349bd45 (MD5) BMWFW (Austria) FWF (Austria) FNRS (Belgium) FWO (Belgium) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) MES (Bulgaria) CERN (China) CAS (China) MoST (China) NSFC (China) COL-CIENCIAS (Colombia) MSES (Croatia) CSF (Croatia) RPF (Cyprus) MoER (Estonia) ERC IUT (Estonia) ERDF (Estonia) Academy of Finland (Finland) MEC (Finland) HIP (Finland) CEA (France) CNRS/IN2P3 (France) BMBF (Germany) DFG (Germany) HGF (Germany) GSRT (Greece) OTKA (Hungary) NIH (Hungary) DAE (India) DST (India) IPM (Iran) SFI (Ireland) INFN (Italy) NRF (Republic of Korea) WCU (Republic of Korea) LAS (Lithuania) MOE (Malaysia) UM (Malaysia) CINVESTAV (Mexico) CONACYT (Mexico) SEP (Mexico) UASLP-FAI (Mexico) MBIE (New Zealand) PAEC (Pakistan) MSHE (Poland) NSC (Poland) FCT (Portugal) JINR (Dubna) MON (Russia) RosAtom (Russia) RAS (Russia) RFBR (Russia) MESTD (Serbia) SEIDI (Spain) CPAN (Spain) Swiss Funding Agencies (Switzerland) MST (Taipei) ThEPCenter (Thailand) IPST (Thailand) STAR (Thailand) NSTDA (Thailand) TUBITAK (Turkey) TAEK (Turkey) NASU (Ukraine) SFFR (Ukraine) STFC (United Kingdom) DOE (USA) NSF (USA) Marie-Curie programme European Research Council EPLANET (European Union) Leventis Foundation A. P. Sloan Foundation Alexander von Humboldt Foundation Belgian Federal Science Policy Office Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium) Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium) Ministry of Education, Youth and Sports (MEYS) of the Czech Republic Council of Science and Industrial Research, India Compagnia di San Paolo (Torino) HOMING PLUS programme of Foundation for Polish Science EU, Regional Development Fund Thalis programme Aristeia programme EU-ESF Greek NSRF A search is reported for massive resonances decaying into a quark and a vector boson (W or Z), or two vector bosons (WW, WZ, or ZZ). The analysis is performed on an inclusive sample of multijet events corresponding to an integrated luminosity of 19.7 fb(-1), collected in proton-proton collisions at a centre-of-mass energy of 8 TeV with the CMS detector at the LHC. The search uses novel jet-substructure identification techniques that provide sensitivity to the presence of highly boosted vector bosons decaying into a pair of quarks. Exclusion limits are set at a confidence level of 95% on the production of: (i) excited quark resonances q* decaying to qW and qZ for masses less than 3.2 TeV and 2.9 TeV, respectively, (ii) a Randall-Sundrum graviton G(RS) decaying into WW for masses below 1.2 TeV, and (iii) a heavy partner of the W boson W' decaying into WZ for masses less than 1.7 TeV. For the first time mass limits are set on W' -> WZ and G(RS) -> WW in the all-jets final state. The mass limits on q* -> qW, q* -> qZ, W' -> WZ, G(RS) -> WW are the most stringent to date. A model with a "bulk" graviton G(bulk) that decays into WW or ZZ bosons is also studied. Yerevan Phys Inst, Yerevan 375036, Armenia Inst Hochenergiephys OeAW, Vienna, Austria Natl Ctr Particle & High Energy Phys, Minsk, Byelarus Univ Antwerp, B-2020 Antwerp, Belgium Vrije Univ Brussel, Brussels, Belgium Univ Libre Bruxelles, Brussels, Belgium Univ Ghent, B-9000 Ghent, Belgium Catholic Univ Louvain, Louvain La Neuve, Belgium Univ Mons, B-7000 Mons, Belgium Ctr Brasileiro Pesquisas Fis, Rio De Janeiro, Brazil Univ Estado Rio de Janeiro, BR-20550011 Rio De Janeiro, Brazil Univ Estadual Paulista, Sao Paulo, Brazil Univ Fed ABC, Sao Paulo, Brazil Bulgarian Acad Sci, Inst Nucl Res & Nucl Energy, Sofia, Bulgaria Univ Sofia, BU-1126 Sofia, Bulgaria Inst High Energy Phys, Beijing 100039, Peoples R China Peking Univ, State Key Lab Nucl Phys & Technol, Beijing 100871, Peoples R China Univ Los Andes, Bogota, Colombia Tech Univ Split, Split, Croatia Univ Split, Split, Croatia Rudjer Boskovic Inst, Zagreb, Croatia Univ Cyprus, Nicosia, Cyprus Charles Univ Prague, Prague, Czech Republic Acad Sci Res & Technol Arab Republ Egypt, Egyptian Network High Energy Phys, Cairo, Egypt NICPB, Tallinn, Estonia Univ Helsinki, Dept Phys, Helsinki, Finland Helsinki Inst Phys, Helsinki, Finland Lappeenranta Univ Technol, Lappeenranta, Finland CEA Saclay, DSM IRFU, F-91191 Gif Sur Yvette, France Ecole Polytech, CNRS, IN2P3, Lab Leprince Ringuet, F-91128 Palaiseau, France Univ Strasbourg, Univ Haute Alsace Mulhouse, CNRS, Inst Pluridisciplinaire Hubert Curien,IN2P3, Strasbourg, France Inst Natl Phys Nucl & Phys Particules, CNRS, IN2P3, Ctr Calcul, Villeurbanne, France Univ Lyon 1, CNRS, IN2P3, Inst Phys Nucl Lyon, F-69622 Villeurbanne, France Tbilisi State Univ, Inst High Energy Phys & Informatizat, GE-380086 Tbilisi, Rep of Georgia Rhein Westfal TH Aachen, Inst Phys 1, Aachen, Germany Rhein Westfal TH Aachen, Phys Inst A 3, Aachen, Germany Rhein Westfal TH Aachen, Phys Inst B 3, Aachen, Germany DESY, Hamburg, Germany Univ Hamburg, Hamburg, Germany Univ Karlsruhe, Inst Expt Kernphys, Karlsruhe, Germany NCSR Demokritos, Inst Nucl & Particle Phys, Aghia Paraskevi, Greece Univ Athens, Athens, Greece Univ Ioannina, GR-45110 Ioannina, Greece Wigner Res Ctr Phys, Budapest, Hungary Inst Nucl Res ATOMKI, Debrecen, Hungary Univ Debrecen, Debrecen, Hungary Natl Inst Sci Educ & Res, Bhubaneswar, Orissa, India Panjab Univ, Chandigarh 160014, India Univ Delhi, Delhi 110007, India Saha Inst Nucl Phys, Kolkata, India Bhabha Atom Res Ctr, Bombay 400085, Maharashtra, India Tata Inst Fundamental Res, EHEP, Bombay 400005, Maharashtra, India Tata Inst Fundamental Res, HECR, Mumbai 400005, Maharashtra, India Inst Res Fundamental Sci IPM, Tehran, Iran Univ Coll Dublin, Dublin 2, Ireland Ist Nazl Fis Nucl, Sez Bari, I-70126 Bari, Italy Univ Bari, Bari, Italy Politecn Bari, Bari, Italy Ist Nazl Fis Nucl, Sez Bologna, I-40126 Bologna, Italy Univ Bologna, Bologna, Italy Ist Nazl Fis Nucl, Sez Catania, I-95129 Catania, Italy Univ Catania, Catania, Italy CSFNSM, Catania, Italy Ist Nazl Fis Nucl, Sez Firenze, I-50125 Florence, Italy Univ Florence, Florence, Italy Ist Nazl Fis Nucl, Lab Nazl Frascati, I-00044 Frascati, Italy Ist Nazl Fis Nucl, Sez Genova, I-16146 Genoa, Italy Univ Genoa, Genoa, Italy Ist Nazl Fis Nucl, Sez Milano Bicocca, I-20133 Milan, Italy Univ Milano Bicocca, Milan, Italy Ist Nazl Fis Nucl, Sez Napoli, I-80125 Naples, Italy Univ Naples Federico II, Naples, Italy Univ Basilicata Potenza, Naples, Italy Univ G Marconi Roma, Naples, Italy Ist Nazl Fis Nucl, Sez Padova, Padua, Italy Univ Padua, Padua, Italy Univ Trento Trento, Padua, Italy Ist Nazl Fis Nucl, Sez Pavia, I-27100 Pavia, Italy Univ Pavia, I-27100 Pavia, Italy Ist Nazl Fis Nucl, Sez Perugia, I-06100 Perugia, Italy Univ Perugia, I-06100 Perugia, Italy Ist Nazl Fis Nucl, Sez Pisa, Pisa, Italy Univ Pisa, Pisa, Italy Scuola Normale Super Pisa, Pisa, Italy Ist Nazl Fis Nucl, Sez Roma, Rome, Italy Univ Rome, Rome, Italy Ist Nazl Fis Nucl, Sez Torino, I-10125 Turin, Italy Univ Turin, Turin, Italy Univ Piemonte Orientale Novara, Turin, Italy Ist Nazl Fis Nucl, Sez Trieste, Trieste, Italy Univ Trieste, Trieste, Italy Kangwon Natl Univ, Dept Chem, Chunchon 200701, South Korea Kyungpook Natl Univ, Taegu, South Korea Chonnam Natl Univ, Inst Universe & Elementary Particles, Kwangju, South Korea Korea Univ, Seoul, South Korea Univ Seoul, Seoul, South Korea Sungkyunkwan Univ, Suwon, South Korea Vilnius Univ, Vilnius, Lithuania Univ Malaya, Natl Ctr Particle Phys, Kuala Lumpur, Malaysia IPN, Ctr Invest & Estudios Avanzados, Mexico City 07738, DF, Mexico Univ Iberoamer, Mexico City, DF, Mexico Benemerita Univ Autonoma Puebla, Puebla, Mexico Univ Autonoma San Luis Potosi, San Luis Potosi, Mexico Univ Auckland, Auckland 1, New Zealand Univ Canterbury, Christchurch 1, New Zealand Quaid I Azam Univ, Natl Ctr Phys, Islamabad, Pakistan Natl Ctr Nucl Res, Otwock, Poland Univ Warsaw, Fac Phys, Inst Expt Phys, Warsaw, Poland Lab Instrumentacao Fis Expt Particulas, Lisbon, Portugal Joint Inst Nucl Res, Dubna, Russia Petersburg Nucl Phys Inst, Gatchina, St Petersburg, Russia Russian Acad Sci, Inst Nucl Res, Moscow 117312, Russia Inst Theoret & Expt Phys, Moscow 117259, Russia PN Lebedev Phys Inst, Moscow 117924, Russia Moscow MV Lomonosov State Univ, Skobeltsyn Inst Nucl Phys, Moscow, Russia State Res Ctr Russian Federat, Inst High Energy Phys, Protvino, Russia Univ Belgrade, Fac Phys, Belgrade 11001, Serbia Univ Belgrade, Vinca Inst Nucl Sci, Belgrade, Serbia CIEMAT, E-28040 Madrid, Spain Univ Autonoma Madrid, Madrid, Spain Univ Oviedo, Oviedo, Spain Univ Cantabria, Inst Fis Cantabria IFCA, CSIC, E-39005 Santander, Spain CERN, European Org Nucl Res, CH-1211 Geneva, Switzerland Paul Scherrer Inst, Villigen, Switzerland ETH, Inst Particle Phys, Zurich, Switzerland Univ Zurich, Zurich, Switzerland Natl Cent Univ, Chungli 32054, Taiwan Natl Taiwan Univ, Taipei 10764, Taiwan Chulalongkorn Univ, Bangkok, Thailand Cukurova Univ, Adana, Turkey Middle E Tech Univ, Dept Phys, TR-06531 Ankara, Turkey Bogazici Univ, Istanbul, Turkey Istanbul Tech Univ, TR-80626 Istanbul, Turkey Kharkov Inst Phys & Technol, Natl Sci Ctr, Kharkov, Ukraine Univ Bristol, Bristol, Avon, England Rutherford Appleton Lab, Didcot OX11 0QX, Oxon, England Univ London Imperial Coll Sci Technol & Med, London, England Brunel Univ, Uxbridge UB8 3PH, Middx, England Baylor Univ, Waco, TX 76798 USA Univ Alabama, Tuscaloosa, AL USA Boston Univ, Boston, MA 02215 USA Brown Univ, Providence, RI 02912 USA Univ Calif Davis, Davis, CA 95616 USA Univ Calif Los Angeles, Los Angeles, CA USA Univ Calif Riverside, Riverside, CA 92521 USA Univ Calif San Diego, La Jolla, CA 92093 USA Univ Calif Santa Barbara, Santa Barbara, CA 93106 USA CALTECH, Pasadena, CA 91125 USA Carnegie Mellon Univ, Pittsburgh, PA 15213 USA Univ Colorado, Boulder, CO 80309 USA Cornell Univ, Ithaca, NY USA Fairfield Univ, Fairfield, CT 06430 USA Fermilab Natl Accelerator Lab, Batavia, IL 60510 USA Univ Florida, Gainesville, FL USA Florida Int Univ, Miami, FL 33199 USA Florida State Univ, Tallahassee, FL 32306 USA Florida Inst Technol, Melbourne, FL 32901 USA Univ Illinois, Chicago, IL USA Univ Iowa, Iowa City, IA USA Johns Hopkins Univ, Baltimore, MD USA Univ Kansas, Lawrence, KS 66045 USA Kansas State Univ, Manhattan, KS 66506 USA Lawrence Livermore Natl Lab, Livermore, CA USA Univ Maryland, College Pk, MD 20742 USA MIT, Cambridge, MA 02139 USA Univ Minnesota, Minneapolis, MN USA Univ Mississippi, Oxford, MS USA Univ Nebraska, Lincoln, NE USA SUNY Buffalo, Buffalo, NY 14260 USA Northeastern Univ, Boston, MA 02115 USA Northwestern Univ, Evanston, IL USA Univ Notre Dame, Notre Dame, IN 46556 USA Ohio State Univ, Columbus, OH 43210 USA Princeton Univ, Princeton, NJ 08544 USA Univ Puerto Rico, Mayaguez, PR USA Purdue Univ, W Lafayette, IN 47907 USA Purdue Univ Calumet, Hammond, LA USA Rice Univ, Houston, TX USA Univ Rochester, Rochester, MN USA Rockefeller Univ, New York, NY 10021 USA Rutgers State Univ, Piscataway, NJ USA Univ Tennessee, Knoxville, TN USA Texas A&M Univ, College Stn, TX USA Texas Tech Univ, Lubbock, TX 79409 USA Vanderbilt Univ, Nashville, TN 37235 USA Univ Virginia, Charlottesville, VA USA Wayne State Univ, Detroit, MI USA Univ Wisconsin, Madison, WI USA Vienna Univ Technol, A-1040 Vienna, Austria Univ Estadual Campinas, Campinas, SP, Brazil Suez Univ, Suez, Egypt British Univ Egypt, Cairo, Egypt Fayoum Univ, Al Fayyum, Egypt Ain Shams Univ, Cairo, Egypt Univ Haute Alsace, Mulhouse, France Brandenburg Tech Univ Cottbus, Cottbus, Germany Eotvos Lorand Univ, Budapest, Hungary King Abdulaziz Univ, Jeddah 21413, Saudi Arabia Visva Bharati Univ, Santini Ketan, W Bengal, India Univ Ruhuna, Matara, Sri Lanka Isfahan Univ Technol, Esfahan, Iran Sharif Univ Technol, Tehran, Iran Islamic Azad Univ, Plasma Phys Res Ctr, Sci & Res Branch, Tehran, Iran Univ Siena, I-53100 Siena, Italy CNRS, IN2P3, Paris, France Univ Michoacana, Morelia, Michoacan, Mexico Petersburg State Polytech Univ, St Petersburg, Russia Univ Rome, Fac Ingn, Rome, Italy Scuola Normale Sez INFN, Pisa, Italy Albert Einstein Ctr Fundamental Phys, Bern, Switzerland Gaziosmanpasa Univ, Tokat, Turkey Adiyaman Univ, Adiyaman, Turkey Cag Univ, Mersin, Turkey Mersin Univ, Mersin, Turkey Izmir Inst Technol, Izmir, Turkey Ozyegin Univ, Istanbul, Turkey Kafkas Univ, Kars, Turkey Mimar Sinan Univ, Istanbul, Turkey Univ Southampton, Sch Phys & Astron, Southampton, Hants, England Argonne Natl Lab, Argonne, IL 60439 USA Erzincan Univ, Erzincan, Turkey Yildiz Tekn Univ, Istanbul, Turkey Texas A&M Univ, Doha, Qatar Univ Estadual Paulista, Sao Paulo, Brazil
- Published
- 2014
4. Barriers and facilitating communication skills for breaking bad news: from the specialists' practice perspective.
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Payán EC, Montoya DA, Vargas JJ, Vélez MC, Castaño A, and Krikorian A
- Abstract
Introduction: Breaking bad news is one of a physician's most difficult duties. There are several studies related to the patient's needs, but few reflect on the doctors' experience. Materials and method: A descriptive, cross-sectional research was carried out to study issues related to the process of delivering bad news which might act as barriers and facilitating skills from the doctor's point of view. These issues were identified through a self-administered survey. Results: Participant doctors use different strategies to communicate bad news to their patients. Examples of these strategies are: to be familiar with the patients' medical history, to ensure that there is enough time, to know the patient's caregivers and/ or relatives, to determine the patient's level of knowledge about his/her condition, to use non-technical words, to give information in small pieces, to assess the patient's understanding, to devise a joint action plan, among others. Conclusion: The communication barriers that were identified focused on the emotional issues of the communication process, particularly those related to the recognition of own emotions, and the limited training about communication strategies available to doctors. Consequently, there is a need to implement training programs that provide doctors with tools to facilitate the bad news communication process. [ABSTRACT FROM AUTHOR]
- Published
- 2009
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5. Effects of cashew nutshell extract inclusion into a high-grain finishing diet on methane emissions, nutrient digestibility, and ruminal fermentation in beef steers.
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Cuervo W, Gomez C, Tarnonsky F, Fernandez-Marenchino I, Podversich F, Maderal A, Schulmeister TM, Vargas JJ, and DiLorenzo N
- Subjects
- Animals, Cattle physiology, Male, Plant Extracts pharmacology, Plant Extracts chemistry, Plant Extracts administration & dosage, Animal Nutritional Physiological Phenomena, Dietary Supplements analysis, Cross-Over Studies, Anacardium chemistry, Methane metabolism, Digestion drug effects, Diet veterinary, Animal Feed analysis, Rumen metabolism, Fermentation
- Abstract
By 2050, the U.S. beef industry must produce an extra 40 million tons of beef to satisfy the global demand. Such an increase in inventory will undoubtedly enhance methane (CH4) production from livestock, which should be reduced by over 20%. The addition of plant secondary metabolites, such as anacardic acid present in cashew nutshell extract (CNSE), has shown promising results in reducing CH4 yield, although its effects seemed to be diet-dependent. This study evaluated the addition of CNSE to a high-grain diet (85:15 grain:forage) on in vivo CH4 emissions, nutrient digestibility, performance, feeding behavior, and ruminal fermentation parameters of beef steers. Sixteen Angus crossbred steers [599 ± 40 kg of bodyweight (BW)] and 6 ruminally cannulated crossbred steers (490 ± 51 kg of BW) were utilized in a crossover design with 2 experimental periods of 56 d each, composed by 14 d of adaptation, 35 d of measurement, and 7 d of washout. Following adaptation, steers were sorted by BW, and assigned to receive no additive (CON) or CNSE at 5 g/steer/d. Data were analyzed using the MIXED procedure of SAS. Inclusion of CNSE increased (P < 0.05) propionate concentration and molar proportion (MP; mol/100 mol), tended to decrease acetate MP (P = 0.10), reduced the acetate:propionate (A:P) ratio (P = 0.05), and MP of branched-chain volatile fatty acids (P < 0.01). Neither in vitro organic matter digestibility nor in vitro CH4 yield were affected by CNSE inclusion (P > 0.05). Steers receiving CNSE exhibited greater (P < 0.05) final BW, dry matter intake (DMI), and average daily gain (ADG) but lesser (P < 0.05) in vivo CH4 emission rate (g/d), yield (g/kg of DMI), and intensity (g/kg of ADG). Meal length, bunk visit duration, and apparent total tract digestibility of DM increased (P < 0.05) after CNSE addition. Considering CNSE-supplemented steers spent more time in the feedbunk and exhibited higher DMI, CH4 mitigation was unlikely associated with intake reduction. The addition of CNSE to a high-grain diet in beef steers demonstrated significant improvements in animal performance and reduced CH4 emissions, as the result of shifts in ruminal fermentation patterns, favoring propionate instead of acetate concentration, leading to a reduction in the A:P ratio. CNSE shows promise as a strategy to enhance beef industry sustainability., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)
- Published
- 2025
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6. Effect of Cashew Nutshell Extract, Saponins and Tannins Addition on Methane Emissions, Nutrient Digestibility and Feeding Behavior of Beef Steers Receiving a Backgrounding Diet.
- Author
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Cuervo W, Gómez C, Tarnonsky F, Fernandez-Marenchino I, Maderal A, Podversich F, Vargas JJ, and DiLorenzo N
- Abstract
The beef industry contributes to greenhouse gas emissions through enteric methane emissions, exacerbating climate change. Anacardic acid in cashew nutshell extract (CNSE), saponins and tannins (ST) are plant secondary metabolites that show promise in methane mitigation via antimicrobial effects, potentially exerting changes in ruminal fermentation patterns. This study examined the impact of CNSE, ST, and their combination on methane emissions, digestibility, intake, and performance of sixteen Angus crossbred steers (347 ± 30 kg) receiving a backgrounding diet (70:30 corn silage: cottonseed burrs). The study used a 4 × 4 Latin square design (4 steers, 4 treatments, 4 periods) with a 2 × 2 factorial arrangement, including the main effects of additive (CNSE or ST) fed individually or combined. Thus, steers received the following treatments: (1) no additive, (2) CNSE only, (3) ST only, or (4) both (CNSEST). Non-supplemented steers registered eight more feedbunk visits/d than ST-steers and spent an extra 10 min/d on the feedbunk. The addition of ST tended to increase dry matter, organic matter, and neutral detergent fiber intake. Additives fed individually reduced CP digestibility. Intake of the carrier containing CNSE only was lesser and coincided with a greater methane yield in that treatment. Digestibility and methane mitigation were improved after CNSEST compared with individual inclusion, suggesting synergistic reactions enhanced methane mitigation effects in fibrous diets without affecting the digestibility of nutrients nor animal growth performance.
- Published
- 2024
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7. Tracing isotopically labeled selenium nanoparticles in plants via single-particle ICP-mass spectrometry.
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Freire BM, Rua-Ibarz A, Nakadi FV, Bolea-Fernandez E, Barriuso-Vargas JJ, Lange CN, Aramendía M, Batista BL, and Resano M
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- Isotope Labeling, Plant Leaves chemistry, Plant Leaves metabolism, Metal Nanoparticles chemistry, Particle Size, Selenium chemistry, Selenium analysis, Oryza chemistry, Oryza metabolism, Mass Spectrometry methods, Nanoparticles chemistry
- Abstract
Agronomic biofortification using selenium nanoparticles (SeNPs) shows potential for addressing selenium deficiency but further research on SeNPs-plants interaction is required before it can be effectively used to improve nutritional quality. In this work, single-particle inductively coupled plasma-mass spectrometry (SP-ICP-MS) was used for tracing isotopically labeled SeNPs (
82 SeNPs) in Oryza sativa L. tissues. For this purpose, SeNPs with natural isotopic abundance and82 SeNPs were synthesized by a chemical method. The NPs characterization by transmission electron microscopy (TEM) confirmed that enriched NPs maintained the basic properties of unlabeled NPs, showing spherical shape, monodispersity, and sizes in the nano-range (82.8 ± 6.6 nm and 73.2 ± 4.4 nm for SeNPs and82 SeNPs, respectively). The use of82 SeNPs resulted in an 11-fold enhancement in the detection power for ICP-MS analysis, accompanied by an improvement in the signal-to-background ratio and a reduction of the size limits of detection from 89.9 to 39.9 nm in SP-ICP-MS analysis. This enabled82 SeNPs to be tracked in O. sativa L. plants cultivated under foliar application of82 SeNPs. Tracing studies combining SP-ICP-MS and TEM-energy-dispersive X-ray spectroscopy data confirmed the uptake of intact82 SeNPs by rice leaves, with most NPs remaining in the leaves and very few particles translocated to shoots and roots. Translocation of Se from leaves to roots and shoots was found to be lower when applied as NPs compared to selenite application. From the size distributions, as obtained by SP-ICP-MS, it can be concluded that a fraction of the82 SeNPs remained within the same size range as that of the applied NP suspension, while other fraction underwent an agglomeration process in the leaves, as confirmed by TEM images. This illustrates the potential of SP-ICP-MS analysis of isotopically enriched82 SeNPs for tracing NPs in the presence of background elements within complex plant matrices, providing important information about the uptake, accumulation, and biotransformation of SeNPs in rice plants., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)- Published
- 2024
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8. Determination of gas flux of growing steers under intensive grazing conditions.
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Vargas JJ, Carvalho PHV, Raynor EJ, Martins EC, Souza WA, Shadbolt AM, Stackhouse-Lawson KR, and Place SE
- Abstract
Ruminants produce one-third of the anthropogenic methane ( CH
4 ) emissions worldwide, and 47% of the CH4 emissions result from ruminants under grazing conditions. However, there is limited information regarding the appropriate number of visits to accurately determine enteric CH4 emissions using the automated head-chamber system ( AHCS ) from growing beef cattle under intensive grazing conditions. Data from one experiment were analyzed to determine the number of visits to assess gas flux (CH4 , carbon dioxide [ CO2 ], and oxygen [ O2 ]) from Angus-crossbreed steers grazing in a pivot-irrigated improved pasture. A total of 110 steers (324 ± 37.3 kg initial body weight) were selected and divided into two blocks. Steers were under intensive grazing management for 84 d. Depending on forage availability, steers were rotated at 2- to 4-d intervals. Pastures were predominately composed of cool-season forages. Two different databases using the same animals ( n = 16) were defined to calculate the gas flux using the first 100 visits to an AHCS with 2 or more or 3 or more minutes of visitation length. The mean gas flux was estimated as the average for increasing (forward) or decreasing (reverse) the gas flux of 5-visit intervals starting with the first or the last 5 visits and increasing or decreasing until the full 100-visit dataset was utilized, respectively. Spearman and Pearson correlations were computed between the maximum visits and each shortened visit interval. Concurrently, the residual variance and the residual variance change were determined for each interval by fitting a mixed model. The minimum number of visits was defined when correlations with the total visits were greater than 0.95, and the residual variance was stabilized. The results indicated that the minimum number of visits needed to determine CH4 production varied between 45 and 70, while CO2 production and O2 consumption varied between 45 and 50 according to the visitation length. Additionally, steers that visited the AHCS for 2 or more minutes in visit duration required a greater number of visits than those that visited for 3 or more minutes. Thus, based on the average daily visitation in this experiment (1.4 visit/d), the assessment of CH4 emissions requires 32 d, while CO2 production and O2 consumption require between 32 and 36 d using 3 or more minutes of visit length from growing steers under intensive grazing conditions., Competing Interests: None declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Society of Animal Science.)- Published
- 2024
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9. Non-protein nitrogen supplementation on in vitro fermentation profile, methane production, and microbial nitrogen synthesis in a corn silage-based substrate.
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Vargas JJ, Tarnonsky F, Podversich F, Maderal A, Fernández-Marenchino I, Cuervo W, Schulmeister TM, Ruiz-Ascacibar I, Ipharraguerre IR, and DiLorenzo N
- Abstract
Non-protein nitrogen ( NPN ) supplements improve animal performance in backgrounding diets. However, there is scarce information regarding the effect of different NPN sources and combinations on ruminal fermentation profile. The current study aimed to evaluate the effect of different NPN sources and their combinations on in vitro fermentation, microbial N synthesis, and methane (CH
4 ) production in a backgrounding diet. Incubations were conducted on three separate days for 24 h using corn silage and cotton gin byproduct (70% and 30% of DM, respectively) as substrate. Treatments were control (without NPN), urea, and five different proportions of urea-biuret and nitrate (100:0, 75:25, 50:50, 25:75, and 0:100). Each treatment, except control, was formulated to be isonitrogenous and equivalent to 1% urea inclusion. Ruminal fluid was collected from two ruminally cannulated Angus crossbred steers fed ad libitum corn silage and cotton gin byproduct plus 100 g of a urea-biuret-nitrate mixture. The concentration of volatile fatty acids ( VFAs ) and ammonia nitrogen ( NH3 -N ) were determined at 12 and 24 h of incubation. Final pH, in vitro dry and organic matter digestibility, total gas production, and concentration of CH4 were determined at 24 h. The supplementation of NPN increased ( P < 0.05) the concentration of NH3 -N at 12 and 24 h. Although NPN supplementation increased ( P < 0.05) the concentration of total VFA and acetate at 12 h, treatments did not differ ( P > 0.05) at 24 h. Supplementation of NPN increased ( P < 0.05) the proportion of acetate at 12 and 24 h but tended to reduce ( P = 0.054) the proportion of propionate only at 12 h. Digestibility and pH were not different ( P > 0.05) among treatments. Increasing nitrates in the NPN supplement increased ( P < 0.05) the proportion of acetate and reduced ( P < 0.05) the proportion of butyrate at 12 and 24 h. The supplementation of NPN increased ( P < 0.05) microbial N synthesis. Furthermore, increasing nitrate proportion in the NPN supplement increased ( P < 0.05) the microbial N synthesis and efficiency of N use. Supplementation of NPN did not modify ( P > 0.05) total gas or CH4 production. However, increasing nitrate proportion in the NPN supplement linearly reduced ( P < 0.05) CH4 production. Supplementation of NPN increased NH3 -N concentration and microbial N while increasing the inclusion of nitrate decreased the production of CH4 and increased the microbial N synthesis in a corn silage-based substrate under in vitro conditions., Competing Interests: Isabel Ruiz-Ascacibar works in the R&D department of YARA Industrial Solutions. The other authors declare no real or perceived conflicts of interest., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Society of Animal Science.)- Published
- 2024
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10. Determination of gas flux and animal performance test duration of growing cattle in confined conditions.
- Author
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Vargas JJ, Swenson M, and Place SE
- Abstract
Data from three experiments was analyzed to determine the number of visits and days to assess gas flux (CH
4 , CO2 , and O2 ), dry matter intake (DMI), and average daily gain (ADG) from growing animals under confined conditions. In experiment 1, 213 animals (461 ± 91 kg initial body weight [BW]) were fed a backgrounding diet and evaluated for 60 d. In experiment 2, 169 steers (488 ± 37 kg initial BW) were fed a finishing diet and assessed for 70 d. In experiment 3, 64 steers (514 ± 42 kg initial BW) were fed a finishing diet and evaluated for 80 d. In each experiment, animals were placed in one pen with one Greenfeed and five SmartFeeds to collect gas flux and feed intake simultaneously. Gas flux was analyzed using data from 161 animals from the three experiments with 100 visits for 2 or more min or 3 or more min. Also, metabolic heat production (MHP) was estimated using the individual gas flux. Daily DMI was calculated as the daily feed intake corrected by the dry matter concentration. ADG was computed as the slope of the regression of the shrunk BW (96% BW) throughout each of the experimental periods. The mean gas flux and MHP were estimated for increasing or decreasing 5-visit intervals starting with the first or the last 5 visits and increasing or decreasing until the full 100-visit dataset was utilized, respectively. Intervals of DMI were estimated for increasing or decreasing 5-d intervals starting with the first or the last 5 d and increasing or decreasing until the end of the experimental period, respectively. Intervals of ADG were estimated for increasing or decreasing measurement period intervals until the end of the experimental period, respectively. Pearson and Spearman correlations were computed between the maximum visits or days and each shortened visit or day interval. The minimum number of visits and days was determined when correlations with the total visits were greater than 0.95. The results indicated that the minimum number of visits needed to quantify CO2 , O2 , and MHP accurately was 40, while CH4 was 60. A visitation length of 2 min or more or 3 min or more did not modify the gas flux determination. Thus, based on the average daily visitation in these experiments, gas flux data could be collected for 25 d. Additionally, the required days to determine DMI was 30, while ADG could not be assessed in a shorter than 60-d period., Competing Interests: The authors declare no real or perceived conflicts of interest., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Society of Animal Science.)- Published
- 2024
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11. The 'Surprise question' in heart failure: a prospective cohort study.
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Gonzalez-Jaramillo V, Arenas Ochoa LF, Saldarriaga C, Krikorian A, Vargas JJ, Gonzalez-Jaramillo N, Eychmüller S, and Maessen M
- Subjects
- Male, Humans, Female, Aged, Stroke Volume, Prospective Studies, Palliative Care methods, Prognosis, Ventricular Function, Left, Heart Failure diagnosis
- Abstract
Objective: The Surprise Question (SQ) is a prognostic screening tool used to identify patients with limited life expectancy. We assessed the SQ's performance predicting 1-year mortality among patients in ambulatory heart failure (HF) clinics. We determined that the SQ's performance changes according to sex and other demographic (age) and clinical characteristics, mainly left ventricular ejection fraction (LVEF) and the New York Heart Association (NYHA) functional classifications., Methods: We conducted a prospective cohort study in two HF clinics. To assess the performance of the SQ in predicting 1-year mortality, we calculated the sensitivity, specificity, positive and negative likelihood ratios, and the positive and negative predictive values. To illustrate if the results of the SQ changes the probability that a patient dies within 1 year, we created Fagan's nomograms. We report the results from the overall sample and for subgroups according to sex, age, LVEF and NYHA functional class., Results: We observed that the SQ showed a sensitivity of 85% identifying ambulatory patients with HF who are in the last year of life. We determined that the SQ's performance predicting 1-year mortality was similar among women and men. The SQ performed better for patients aged under 70 years, for patients with reduced or mildly reduced ejection fraction, and for patients NYHA class III/IV., Conclusions: We consider the tool an easy and fast first step to identify patients with HF who might benefit from an advance care planning discussion or a referral to palliative care due to limited life expectancy., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2024
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12. Impact of Supplementing a Backgrounding Diet with Nonprotein Nitrogen on In Vitro Methane Production, Nutrient Digestibility, and Steer Performance.
- Author
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Vargas JJ, Tarnonsky F, Podversich F, Maderal A, Fernandez-Marenchino I, Gómez-López C, Heredia D, Schulmeister TM, Ruiz-Ascacibar I, Gonella-Diaza A, Ipharraguerre IR, and DiLorenzo N
- Subjects
- Animals, Nitrogen metabolism, Digestion, Diet veterinary, Nutrients, Urea metabolism, Methane metabolism, Animal Feed analysis, Rumen metabolism, Fermentation, Dietary Supplements analysis, Biuret metabolism, Biuret pharmacology, Urea analogs & derivatives, Nitrates
- Abstract
Two experiments were conducted to evaluate the effect of nonprotein nitrogen (NPN) supplementation on in vitro fermentation and animal performance using a backgrounding diet. In experiment 1, incubations were conducted on three separate days (replicates). Treatments were control (CTL, without NPN), urea (U), urea-biuret (UB), and urea-biuret-nitrate (UBN) mixtures. Except for control, treatments were isonitrogenous using 1% U inclusion as a reference. Ruminal fluid was collected from two Angus-crossbred steers fed a backgrounding diet plus 100 g of a UBN mixture for at least 35 d. The concentration of volatile fatty acids (VFA) and ammonia nitrogen (NH3-N), in vitro organic matter digestibility (IVOMD), and total gas and methane (CH4) production were determined at 24 h of incubation. In experiment 2, 72 Angus-crossbred yearling steers (303 ± 29 kg of body weight [BW]) were stratified by BW and randomly allocated in nine pens (eight animals/pen and three pens/treatment). Steers consumed a backgrounding diet formulated to match the diet used in the in vitro fermentation experiment. Treatments were U, UB, and UBN and were isonitrogenous using 1% U inclusion as a reference. Steers were adapted to the NPN supplementation for 17 d. Then, digestibility evaluation was performed after 13 d of full NPN supplementation for 4 d using 36 steers (12 steers/treatment). After that, steer performance was evaluated for 56 d (24 steers/treatment). In experiment 1, NPN supplementation increased the concentration of NH3-N and VFA (P < 0.01) without affecting the IVOMD (P = 0.48), total gas (P = 0.51), and CH4 production (P = 0.57). Additionally, in vitro fermentation parameters did not differ (P > 0.05) among NPN sources. In experiment 2, NPN supplementation did not change dry matter and nutrient intake (P > 0.05). However, UB and UBN showed lower (P < 0.05) nutrient digestibility than U, except for starch (P = 0.20). Dry matter intake (P = 0.28), average daily gain (P = 0.88), and gain:feed (P = 0.63) did not differ among steers receiving NPN mixtures. In conclusion, tested NPN mixtures have the potential to be included in the backgrounding diets without any apparent negative effects on animal performance and warrant further studies to evaluate other variables to fully assess the response of feeding these novel NPN mixtures., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
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- 2024
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13. The global challenges of the long COVID-19 in adults and children.
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Rodriguez-Morales AJ, Lopez-Echeverri MC, Perez-Raga MF, Quintero-Romero V, Valencia-Gallego V, Galindo-Herrera N, López-Alzate S, Sánchez-Vinasco JD, Gutiérrez-Vargas JJ, Mayta-Tristan P, Husni R, Moghnieh R, Stephan J, Faour W, Tawil S, Barakat H, Chaaban T, Megarbane A, Rizk Y, Sakr R, Escalera-Antezana JP, Alvarado-Arnez LE, Bonilla-Aldana DK, Camacho-Moreno G, Mendoza H, Rodriguez-Sabogal IA, Millán-Oñate J, Lopardo G, Barbosa AN, Cimerman S, Chaves TDSS, Orduna T, Lloveras S, Rodriguez-Morales AG, Thormann M, Zambrano PG, Perez C, Sandoval N, Zambrano L, Alvarez-Moreno CA, Chacon-Cruz E, Villamil-Gomez WE, Benites-Zapata V, Savio-Larriera E, Cardona-Ospina JA, Risquez A, Forero-Peña DA, Henao-Martínez AF, Sah R, Barboza JJ, León-Figueroa DA, Acosta-España JD, Carrero-Gonzalez CM, Al-Tawfiq JA, Rabaan AA, Leblebicioglu H, Gonzales-Zamora JA, and Ulloa-Gutiérrez R
- Subjects
- Adult, Child, Humans, Post-Acute COVID-19 Syndrome, COVID-19
- Abstract
Competing Interests: Declaration of competing interest None.
- Published
- 2023
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14. Big Data and Machine Learning to Improve European Grapevine Moth ( Lobesia botrana ) Predictions.
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Balduque-Gil J, Lacueva-Pérez FJ, Labata-Lezaun G, Del-Hoyo-Alonso R, Ilarri S, Sánchez-Hernández E, Martín-Ramos P, and Barriuso-Vargas JJ
- Abstract
Machine Learning (ML) techniques can be used to convert Big Data into valuable information for agri-environmental applications, such as predictive pest modeling. Lobesia botrana (Denis & Schiffermüller) 1775 (Lepidoptera: Tortricidae) is one of the main pests of grapevine, causing high productivity losses in some vineyards worldwide. This work focuses on the optimization of the Touzeau model, a classical correlation model between temperature and L. botrana development using data-driven models. Data collected from field observations were combined with 30 GB of registered weather data updated every 30 min to train the ML models and make predictions on this pest's flights, as well as to assess the accuracy of both Touzeau and ML models. The results obtained highlight a much higher F1 score of the ML models in comparison with the Touzeau model. The best-performing model was an artificial neural network of four layers, which considered several variables together and not only the temperature, taking advantage of the ability of ML models to find relationships in nonlinear systems. Despite the room for improvement of artificial intelligence-based models, the process and results presented herein highlight the benefits of ML applied to agricultural pest management strategies.
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- 2023
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15. Phytochemical Profiling of Sambucus nigra L. Flower and Leaf Extracts and Their Antimicrobial Potential against Almond Tree Pathogens.
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Sánchez-Hernández E, Balduque-Gil J, González-García V, Barriuso-Vargas JJ, Casanova-Gascón J, Martín-Gil J, and Martín-Ramos P
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- Plant Extracts chemistry, Phytochemicals pharmacology, Phytochemicals analysis, Flowers chemistry, Sambucus nigra chemistry, Prunus dulcis, Fungicides, Industrial analysis, Anti-Infective Agents pharmacology, Anti-Infective Agents analysis
- Abstract
Despite extensive research on the chemical composition of elderberries and their numerous uses in pharmaceutical, beverage, and food production, there is still a lack of knowledge about Sambucus nigra leaves and flowers' antimicrobial activity against plant pathogens. In this study, the phytoconstituents of their aqueous ammonia extracts were first characterized by infrared spectroscopy and gas chromatography-mass spectrometry. The major phytocompounds identified in the flower extract were octyl 2-methylpropanoate; 3,5-dihydroxy-6-methyl-2,3-dihydropyran-4-one; propyl malonic acid; adenine; and 1-methyl-2-piperidinemethanol. Concerning the leaf extract, 1,6-anhydro-β-D-glucopyranose; oleic acid; 2,1,3-benzothiadiazole; 2,3-dihydro-benzofuran; and 4-((1E)-3-hydroxy-1-propenyl)-2-methoxyphenol and other phenol derivatives were the main constituents. The potential of the extracts to act as bioprotectants was then investigated against three almond tree pathogens: Diaporthe amygdali , Phytophthora megasperma , and Verticillium dahliae . In vitro tests showed higher activity of the flower extract, with EC
90 values in the 241-984 μg·mL-1 range (depending on the pathogen) vs. 354-1322 μg·mL-1 for the leaf extract. In addition, the flower extract led to full protection against P. megasperma at a dose of 1875 μg·mL-1 in ex situ tests on artificially-infected excised almond stems. These inhibitory concentrations were lower than those of commercial fungicides. These findings suggest that S. nigra aerial organs may be susceptible to valorization as an alternative to synthetic fungicides for the protection of this important crop.- Published
- 2023
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16. Valorization of Quercus suber L. Bark as a Source of Phytochemicals with Antimicrobial Activity against Apple Tree Diseases.
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Sánchez-Hernández E, González-García V, Casanova-Gascón J, Barriuso-Vargas JJ, Balduque-Gil J, Lorenzo-Vidal B, Martín-Gil J, and Martín-Ramos P
- Abstract
Cork, an anatomic adaptation of the bark of Quercus suber L. through its suberization process, finds its main application in the production of bottle stoppers. Its processing results in a large waste stream of cork fragments, granulates, and dust, which may be susceptible to valorization. The work presented here explored the use of its extracts to inhibit the growth of phytopathogenic microorganisms associated with apple tree diseases. The in vitro antimicrobial activity of cork aqueous ammonia extract was assayed against four fungi, viz. Monilinia fructigena and M. laxa (brown rot), Neofussicoccum parvum (dieback), and Phytophthora cactorum (collar and root rot), and two bacteria, viz. Erwinia amylovora and Pseudomonas syringae pv. syringae , either alone or in combination with chitosan oligomers (COS). Effective concentration values of EC
90 in the 675-3450 μg·mL-1 range, depending on the fungal pathogen, were obtained in growth inhibition tests, which were substantially improved for the conjugate complexes (340-801 μg·mL-1 ) as a result of strong synergism with COS. Similar enhanced behavior was also observed in antibacterial activity assays, with MIC values of 375 and 750 μg·mL-1 for the conjugate complexes against P. syringae pv. syringae and E. amylovora , respectively. This in vitro inhibitory activity was substantially higher than those exhibited by azoxystrobin and fosetyl-Al, which were tested for comparison purposes, and stood out among those reported for other natural compounds in the literature. The observed antimicrobial activity may be mainly attributed to the presence of glycerin and vanillic acid, identified by gas chromatography-mass spectroscopy. In the first step towards in-field application, the COS- Q. suber bark extract conjugate complex was further tested ex situ against P. cactorum on artificially inoculated excised stems of the 'Garnem' almond rootstock, achieving high protection at a dose of 3750 μg·mL-1 . These results suggest that cork industrial leftovers may, thus, be a promising source of bioactive compounds for integrated pest management.- Published
- 2022
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17. Holm Oak ( Quercus ilex subsp. ballota (Desf.) Samp.) Bark Aqueous Ammonia Extract for the Control of Invasive Forest Pathogens.
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Sánchez-Hernández E, Balduque-Gil J, Barriuso-Vargas JJ, Casanova-Gascón J, González-García V, Cuchí-Oterino JA, Lorenzo-Vidal B, Martín-Gil J, and Martín-Ramos P
- Subjects
- 1-Butanol, Ammonia, Anti-Bacterial Agents, Antifungal Agents pharmacology, Catechols, Flavonoids, Forests, Methanol, Plant Bark, Plant Extracts pharmacology, Squalene, Strobilurins, Tannins, Ballota, Fungicides, Industrial, Phytophthora physiology, Quercus physiology, Quinolines
- Abstract
Holm oak ( Quercus ilex subsp. ballota (Desf.) Samp.) bark is a commonly used remedy to treat gastrointestinal disorders, throat and skin infections, hemorrhages, and dysentery. It has also been previously reported that its methanol extracts possess antibacterial activity, which can be related to the richness of Quercus spp. extracts in phenolic compounds, such as flavonoids and tannins. However, there is no information on the antifungal (including oomycete) properties of the bark from Q. ilex or its subspecies ( ilex and ballota ). In this work, we report the characterization of the aqueous ammonia extract of its bark by FTIR and GC-MS and the results of in vitro and ex situ inhibition tests against three phytopathogens. The main phytochemical components identified were inositols (19.5%), trans -squalene (13%), 4-butoxy-1-butanol (11.4%), gulopyranose (9.6%), lyxose (6.5%), 2,4-dimethyl-benzo[H]quinoline (5.1%), catechol (4.5%), and methoxyphenols (4.2%). The efficacy of the extract in controlling forest phytopathogens was tested in vitro against Fusarium circinatum (responsible for pitch canker of Pinus spp.), Cryphonectria parasitica (which causes chestnut blight), and Phytophthora cinnamomi (which causes 'root and crown rot' in a variety of hosts, including Castanea , conifers, Eucalyptus , Fagus, Juglans, Quercus , etc.), obtaining EC
90 values of 322, 295, and 75 μg·mL-1 , respectively, much lower than those attained for a commercial strobilurin fungicide (azoxystrobin). The extract was further tested ex situ against P. cinnamomi on artificially inoculated, excised stems of 'Garnem' almond rootstock, attaining complete protection at a dose of 782 μg·mL-1 . The results suggest that holm oak bark extract may be a promising source of bioactive compounds against invasive forest pathogens, including the oomycete that is causing its decline, the so-called 'seca' in Spain.- Published
- 2022
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18. Prevalence and characteristics of patients with heart failure needing palliative care.
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Arenas Ochoa LF, González-Jaramillo V, Saldarriaga C, Lemos M, Krikorian A, Vargas JJ, Gómez-Batiste X, Gonzalez-Jaramillo N, and Eychmüller S
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- Aged, Cross-Sectional Studies, Humans, Palliative Care, Prevalence, Heart Failure epidemiology, Heart Failure therapy, Quality of Life
- Abstract
Background: Few hospitals and heart failure (HF) clinics offer concurrent palliative care (PC) together with life-prolonging therapies. To know the prevalence of patients in HF clinics needing PC and useful tools to recognize them are the first steps to extending PC in those settings. However, it is still unknown whether tools commonly used to identify patients with HF needing PC can correctly distinguish them. Two systematic reviews found that the NECesidades PALiativas (NECPAL) tool was one of the two most commonly used tools to asses PC needs in HF patients. Therefore, we assessed 1) the prevalence of PC needs in HF clinics according to the NECPAL tool, and 2) the characteristics of the patients identified as having PC; mainly, their quality of life (QoL), symptom burden, and psychosocial problems., Methods: This cross-sectional study was conducted at two HF clinics in Colombia. We assessed the prevalence of PC in the overall sample and in subgroups according to clinical and demographic variables. We assessed QoL, symptom burden, and psychosocial problems using the 12-Item Short-Form Health Survey (SF-12), the Kansas City Cardiomyopathy Questionnaire (KCCQ) and the Edmonton Symptom Assessment System (ESAS). We compared the results of these tools between patients identified as having PC needs (+NECPAL) and patients identified as not having PC needs (-NECPAL)., Results: Among the 178 patients, 78 (44%) had PC needs. The prevalence of PC needs was twice as nigh in patients NYHA III/IV as in patients NYHA I/II and almost twice as high in patients older than 70 years as in patients younger than 70 years. Compared to -NECPAL patients, +NECPAL patients had worse QoL, more severe shortness of breath, tiredness, drowsiness, and pain, and more psychosocial problems., Conclusion: The prevalence of PC needs in outpatient HF clinics is high and is even higher in older patients and in patients at more advanced NYHA stages. Compared to patients identified as not having PC needs, patients identified as having PC needs have worse QoL, more severe symptoms, and greater psychosocial problems. Including a PC provider in the multidisciplinary team of HF clinics may help to assess and cover these needs., (© 2021. The Author(s).)
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- 2021
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19. Differential expression of genes associated with non-target site resistance in Poa annua with target site resistance to acetolactate synthase inhibitors.
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Laforest M, Soufiane B, Patterson EL, Vargas JJ, Boggess SL, Houston LC, Trigiano RN, and Brosnan JT
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- Herbicide Resistance genetics, Mutation, Plant Proteins genetics, Acetolactate Synthase genetics, Herbicides pharmacology, Poa
- Abstract
Background: Poa annua is a pervasive grassy, self-pollinating, weed that has evolved resistance to 10 different herbicide modes-of-action, third most of all weed species. We investigated constitutive overexpression of genes associated with non-target site resistance (NTSR) in POAAN-R3 and the response of those genes when treated with trifloxysulfuron despite the biotype having a known target site mutation in acetolactate synthase (ALS)., Results: Despite having an ALS target site mutation, POAAN-R3 still had a transcriptomic response to herbicide application that differed from a susceptible biotype. We observed differential expression of genes associated with transmembrane transport and oxidation-reduction activities, with differences being most pronounced prior to herbicide treatment., Conclusions: In the P. annua biotype we studied with confirmed target site resistance to ALS inhibitors, we also observed constitutive expression of genes regulating transmembrane transport, as well as differential expression of genes associated with oxidative stress after treatment with trifloxysulfuron. This accumulation of mechanisms, in addition to the manifestation of target site resistance, could potentially increase the chance of survival when plants are challenged by different modes of action., (© 2021 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.)
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- 2021
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20. COVID-19 in the Critically Ill: Too Risky for High-Dose Anticoagulation?
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Paez Vargas JJ, Vidal González A, Pérez-Calvo C, and Flandes J
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- Anticoagulants adverse effects, Blood Coagulation, Humans, SARS-CoV-2, COVID-19, Critical Illness
- Published
- 2021
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21. Effect of the COVID-19 quarantine on body mass among combat sports athletes.
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Herrera-Valenzuela T, Narrea Vargas JJ, Merlo R, Valdés-Badilla PA, Pardo-Tamayo C, and Franchini E
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- Adult, Boxing, Cross-Sectional Studies, Female, Humans, Male, Martial Arts, Pandemics, Prospective Studies, Young Adult, Athletes, Body Weight, COVID-19, Quarantine
- Abstract
Introduction: Introduction: to combat the COVID-19 pandemic governments have adopted measures such as quarantine and social distancing. Objective: the main objective of the present study was to analyze the impact of COVID-19 quarantine on body mass in combat sports athletes. Methods: we conducted a cross-sectional, prospective, multi-center study that evaluated 234 men (mean age and standard deviation, 29 ± 10 years) residing in Argentina (n = 38); Bolivia (n = 1); Brazil (n = 105); Chile (n = 30); El Salvador (n = 1); Spain (n = 22); Mexico (n = 22) and Peru (n = 15). Of these, 12 practiced Brazilian jiu-jitsu (BJJ), 54 boxing, 67 judo, 13 karate, 52 kick boxing & muay thai (KB & MT), 9 mixed martial arts (MMA), and 27 taekwondo (TKD). An online survey was created using Google Forms. It was implemented between April 4th and April 17th, 2020. Athletes were consulted about their body mass before starting the quarantine and after 20 ± 5 days of quarantine. Results: athletes in all combat sports were heavier during quarantine as compared to pre-quarantine (p < 0.001, d = 0.12). Conclusions: combat sports athletes experienced an increase in body mass during the COVID-19 quarantine.
- Published
- 2020
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22. Environmental effects on efficacy of herbicides for postemergence goosegrass (Eleusine indica) control.
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Shekoofa A, Brosnan JT, Vargas JJ, Tuck DP, and Elmore MT
- Abstract
Experiments were conducted to understand environmental effects on efficacy of herbicides used to control goosegrass (Eleusine indica L. Gaertn.). Herbicides were applied to goosegrass maintained at soil moisture contents (VMC) of < 12%, 12 to 20%, or > 20%. Herbicides included fenoxaprop-p-ethyl (140 g ha
-1 ), topramezone (25 g ha-1 ), foramsulfuron (44 g ha-1 ), 2,4-D + dicamba + MCPP + carfentrazone (860 + 80 + 270 + 28 g ha-1 ), and thiencarbazone-methyl + foramsulfuron + halosulfuron-methyl (22 + 45 + 69 g ha-1 ). Goosegrass control increased as VMC increased. Vapor pressure deficit (VPD) and air temperature were manipulated to determine effects of evaporative demand on foramsulfuron. Effects of soil drying were also studied following foramsulfuron application. Reductions in transpiration rate (TR) and leaf area were greatest with foramsulfuron applications to goosegrass in silt-loam under high evaporative demand (3 kPa VPD, 38 °C). Foramsulfuron had no effect on goosegrass in silica-sand regardless of evaporative demand. TR dropped to 0.2 mmh-1 within eight days after application to goosegrass in silt-loam compared to 18 days in silica-sand. Overall, foramsulfuron efficacy on goosegrass was maximized under conditions of high soil moisture and evaporative demand, and may be reduced in sandy soils that hold less water.- Published
- 2020
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23. Onset of puberty and regularity of oestral cycles in ewe lambs of four breeds under high-altitude conditions in a non-seasonal country.
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Lozano H, Raes M, Vargas JJ, Ballieu A, Grajales H, Manrique C, Beckers JF, and Kirschvink N
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- Animals, Female, Male, Progesterone blood, Seasons, Altitude, Estrus, Sexual Maturation, Sheep, Domestic physiology
- Abstract
Twenty-four Colombian Creole, Romney Marsh, Hampshire and Corriedale ewes raised under high-altitude conditions in a non-seasonal country were used to determine and to characterize the onset of puberty and of regularity ovarian function since the age of 3months. They underwent blood collection for determination of progesterone and monthly weight assessment. Oestrus was assessed daily by a teaser ram. In all breeds, age at onset of puberty ranged from 5.4 to 6.9 months and age at onset of regular ovarian function ranged from 7.4 to 8.6 months. Colombian Creole showed a higher body development at onset of puberty: 73.5 ± 8.3% versus 56.2 ± 7.4 in Romney Marsh, 58.8 ± 10.4 in Hampshire, and 57.3 ± 8.0 in Corriedale (p < 0.05), as well as a higher relative daily weight gain (+17%, p < 0.05). A negative correlation between daily weight gain and age at onset of puberty was established. Progesterone at onset of puberty and of regularity did not differ between breeds, but characterization of the luteal phase by the progesterone area under the curve (P4-AUC) revealed at both time points significantly lower values for Creole lambs (p < 0.05). Decreased P4-AUC paralleled a higher proportion of short oestral cycles observed prior to onset of regularity in Creoles, whereas an increased proportion of extra-long cycles were recorded in Romney Marsh (p < 0.05). These results establish first reference data for economically important breeds raised under tropical conditions. In comparison with other breeds, Colombian Creole requires a higher body development to achieve puberty and that an important proportion of short characterizes its prepubertal period cycles.
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- 2020
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24. DFG-based mid-IR tunable source with 0.5 mJ energy and a 30 pm linewidth.
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Stoychev LI, Cabrera H, Suárez-Vargas JJ, Baruzzo M, Gadedjisso-Tossou KS, Nikolov IP, Sigalotti P, Demidovich AA, Mocchiutti E, Pizzolotto C, Niemela J, Toci G, Danailov MB, and Vacchi A
- Abstract
We report on a laser system based on difference frequency generation (DFG) to produce tunable, narrow-linewidth (<30 p m ), and comparatively high-energy mid-IR radiation in the 6.8 µm region. The system exploits a lithium thioindate ( L i I n S
2 ) nonlinear crystal and nanosecond pulses generated by single-frequency Nd:YAG and Cr:forsterite lasers at 1064 and 1262 nm, respectively. Two experimental configurations are used: in the first one, single-pass, the mid-IR energy achieved is 205 µJ. Additional increments, up to 540 µJ, are obtained by performing double-pass through the nonlinear crystal. This laser has been developed for high-resolution photon-hungry spectroscopy in the mid-IR.- Published
- 2020
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25. Annual bluegrass (Poa annua) resistance to indaziflam applied early-postemergence.
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Brosnan JT, Vargas JJ, Spesard B, Netzband D, Zobel JM, Chen J, and Patterson EL
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- Herbicides, Indenes, Triazines, Poa
- Abstract
Background: Indaziflam is an alkylazine herbicide used to control annual bluegrass (Poa annua L.). Several locations in the southeastern USA reported poor annual bluegrass control following treatment with indaziflam during autumn 2015. A series of controlled environment experiments were conducted to confirm putative resistance to indaziflam in annual bluegrass collected from these field locations., Results: Indaziflam (25 g ha
-1 ) effectively controlled all putative-resistant annual bluegrass collections when applied preemergence (PRE), but was ineffective when applied early-postemergence (< 2.5 cm plant height; BBCH scale = 1; EPOST). In agarose-based plate assays, EPOST I50 values for putative-resistant collections ranged from 2424 to 4305 pm compared with 633 pm for the herbicide-susceptible control; therefore, resistance indexes (R/S) ranged from 3.8 to 6.8. Resistant collections were not controlled by foramsulfuron, flumioxazin, glyphosate, glufosinate, metribuzin, pronamide, or simazine applied EPOST. Indaziflam content in herbicide-susceptible annual bluegrass was greater than a resistant collection from 0 to 10 days after treatment (DAT). Susceptibility was not restored when resistant collections were treated with indaziflam plus 1-aminobenzotriazole (10 mg L-1 ), tebuconazole (1510 g ha-1 ), or malathion (400 g ha-1 )., Conclusions: This is a first report of resistance to indaziflam in any plant. Additionally, we confirm that these annual bluegrass collections are resistant to several other herbicidal modes-of-action. It is unclear if this multi-herbicide resistance is due to a single resistance gene, multiple resistance genes, non-target site mechanisms, or a combination thereof. Additional research to better understand resistance mechanisms in these annual bluegrass collections is warranted. © 2020 Society of Chemical Industry., (© 2020 Society of Chemical Industry.)- Published
- 2020
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26. 24 mJ Cr +4 :forsterite four-stage master-oscillator power-amplifier laser system for high resolution mid-infrared spectroscopy.
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Stoychev LI, Cabrera H, Gadedjisso-Tossou KS, Vasiliev N, Zaporozhchenko Y, Nikolov IP, Sigalotti P, Demidovich AA, Suárez-Vargas JJ, Mocchiutti E, Pizzolotto C, Niemela J, Baruzzo M, Danailov MB, and Vacchi A
- Abstract
We present the design of a Cr:forsterite based single-frequency master-oscillator power-amplifier laser system delivering much higher output energy compared to previous literature reports. The system has four amplifying stages with two-pass configuration each, thus enabling the generation of 24 mJ output energy in the spectral region around 1262 nm. It is demonstrated that the presented Cr:forsterite amplifier preserves high spectral and pulse quality, allowing a straightforward energy scaling. This laser system is a promising tool for tunable nonlinear down-conversion to the mid-infrared spectral range and will be a key building block in a system for high-resolution muonic hydrogen spectroscopy in the 6.8 μm range.
- Published
- 2019
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27. High-Throughput Phenotyping of Fire Blight Disease Symptoms Using Sensing Techniques in Apple.
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Jarolmasjed S, Sankaran S, Marzougui A, Kostick S, Si Y, Quirós Vargas JJ, and Evans K
- Abstract
Washington State produces about 70% of total fresh market apples in the United States. One of the primary goals of apple breeding programs is the development of new cultivars resistant to devastating diseases such as fire blight. The overall objective of this study was to investigate high-throughput phenotyping techniques to evaluate fire blight disease symptoms in apple trees. In this regard, normalized stomatal conductance data acquired using a portable photosynthetic system, image data collected using RGB and multispectral cameras, and visible-near infrared spectral reflectance acquired using a hyperspectral sensing system, were independently evaluated to estimate the progression of fire blight infection in young apple trees. Sensors with ranging complexity - from simple RGB to multispectral imaging to hyperspectral system - were evaluated to select the most accurate technique for the assessment of fire blight disease symptoms. The proximal multispectral images and visible-near infrared spectral reflectance data were collected in two field seasons (2016, 2017); while, proximal side-view RGB images and multispectral images using unmanned aerial systems were collected in 2017. The normalized stomatal conductance data was correlated with disease severity rating ( r = 0.51, P < 0.05). The features extracted from RGB images (e.g., maximum length of senesced leaves, area of senesced leaves, ratio between senesced and healthy leaf area) and multispectral images (e.g., vegetation indices) also demonstrated potential in evaluation of disease rating (| r | > 0.35, P < 0.05). The average classification accuracy achieved using visible-near infrared spectral reflectance data during the classification of susceptible from symptomless groups ranged between 71 and 93% using partial least square regression and quadratic support vector machine. In addition, fire blight disease ratings were compared with normalized difference spectral indices (NDSIs) that were generated from visible-near infrared reflectance spectra. The selected spectral bands in the range 710-2,340 nm used for computing NDSIs showed consistently higher correlation with disease severity rating than data acquired from RGB and multispectral imaging sensors across multiple seasons. In summary, these specific spectral bands can be used for evaluating fire blight disease severity in apple breeding programs and potentially as early fire blight disease detection tool to assist in production systems.
- Published
- 2019
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28. Phenotyping of Plant Biomass and Performance Traits Using Remote Sensing Techniques in Pea ( Pisum sativum , L.).
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Quirós Vargas JJ, Zhang C, Smitchger JA, McGee RJ, and Sankaran S
- Subjects
- Plant Leaves growth & development, Seasons, Seeds growth & development, Agriculture, Biomass, Pisum sativum growth & development, Remote Sensing Technology
- Abstract
Field pea cultivars are constantly improved through breeding programs to enhance biotic and abiotic stress tolerance and increase seed yield potential. In pea breeding, the Above Ground Biomass (AGBM) is assessed due to its influence on seed yield, canopy closure, and weed suppression. It is also the primary yield component for peas used as a cover crop and/or grazing. Measuring AGBM is destructive and labor-intensive process. Sensor-based phenotyping of such traits can greatly enhance crop breeding efficiency. In this research, high resolution RGB and multispectral images acquired with unmanned aerial systems were used to assess phenotypes in spring and winter pea breeding plots. The Green Red Vegetation Index (GRVI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Red Edge Index (NDRE), plot volume, canopy height, and canopy coverage were extracted from RGB and multispectral information at five imaging times (between 365 to 1948 accumulated degree days/ADD after 1 May) in four winter field pea experiments and at three imaging times (between 1231 to 1648 ADD) in one spring field pea experiment. The image features were compared to ground-truth data including AGBM, lodging, leaf type, days to 50% flowering, days to physiological maturity, number of the first reproductive node, and seed yield. In two of the winter pea experiments, a strong correlation between image features and seed yield was observed at 1268 ADD (flowering). An increase in correlation between image features with the phenological traits such as days to 50% flowering and days to physiological maturity was observed at about 1725 ADD in these winter pea experiments. In the spring pea experiment, the plot volume estimated from images was highly correlated with ground truth canopy height ( r = 0.83) at 1231 ADD. In two other winter pea experiments and the spring pea experiment, the GRVI and NDVI features were significantly correlated with AGBM at flowering. When selected image features were used to develop a least absolute shrinkage and selection operator model for AGBM estimation, the correlation coefficient between the actual and predicted AGBM was 0.60 and 0.84 in the winter and spring pea experiments, respectively. A SPOT-6 satellite image (1.5 m resolution) was also evaluated for its applicability to assess biomass and seed yield. The image features extracted from satellite imagery showed significant correlation with seed yield in two winter field pea experiments, however, the trend was not consistent. In summary, the study supports the potential of using unmanned aerial system-based imaging techniques to estimate biomass and crop performance in pea breeding programs.
- Published
- 2019
- Full Text
- View/download PDF
29. Several Pesticides Influence the Nutritional Content of Sweet Corn.
- Author
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Cutulle MA, Armel GR, Kopsell DA, Wilson HP, Brosnan JT, Vargas JJ, Hines TE, and Koepke-Hill RM
- Subjects
- Biological Transport drug effects, Cyclohexanones pharmacology, Fatty Acids metabolism, Food Contamination analysis, Magnesium metabolism, Manganese metabolism, Nutritive Value drug effects, Phosphorus metabolism, Plant Proteins metabolism, Pyrazoles pharmacology, Pyridines pharmacology, Sulfonylurea Compounds pharmacology, Zea mays metabolism, Herbicides pharmacology, Zea mays chemistry, Zea mays drug effects
- Abstract
Herbicides are pesticides used to eradicate unwanted plants in both crop and non-crop environments. These chemistries are toxic to weeds due to inhibition of key enzymes or disruption of essential biochemical processes required for weedy plants to survive. Crops can survive systemic herbicidal applications through various forms of detoxification, including metabolism that can be enhanced by safeners. Field studies were conducted near Louisville, Tennessee and Painter, Virginia to determine how the herbicides mesotrione, topramezone, nicosulfuron, and atrazine applied with or without the safener isoxadifen-ethyl would impact the nutritional quality of "Incredible" sweet corn ( Zea mays L. var. rugosa). Several herbicide treatments increased the uptake of the mineral elements phosphorus, magnesium, and manganese by 8-75%. All herbicide treatments increased protein content by 4-12%. Applied alone, nicosulfuron produced similar levels of saturated, monounsaturated, and polyunsaturated fatty acids when compared to the nontreated check, but when applied with isoxadifen-ethyl, fatty acids increased 8 to 44% relative to the check or control. Nicosulfuron plus isoxadifen-ethyl or topramezone or the combination of all three actives increased the concentrations of fructose and glucose (40-68%), whereas reducing levels of maltose or sucrose when compared to the nontreated check (-15 to -21%). Disruptions in biochemical pathways in plants due to the application of herbicides, safeners, or other pesticides have the potential to alter the nutrient quality, taste, and overall plant health associated with edible crops.
- Published
- 2018
- Full Text
- View/download PDF
30. Design, Synthesis, and Evaluation of Novel Auxin Mimic Herbicides.
- Author
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Do-Thanh CL, Vargas JJ, Thomas JW, Armel GR, and Best MD
- Subjects
- Drug Design, Drug Evaluation, Herbicides chemistry, Indoleacetic Acids chemistry, Plant Weeds drug effects, Zea mays drug effects, Herbicides chemical synthesis, Herbicides pharmacology, Indoleacetic Acids chemical synthesis, Indoleacetic Acids pharmacology
- Abstract
Due to the key roles of auxins as master regulators of plant growth, there is considerable interest in the development of compounds with auxin-like properties for growth management and weed control applications. Herein, we describe the design and multistep synthesis of ten compounds bearing combinations of functional groups commonly associated with auxin-type properties. Following synthesis, these compounds were tested against multiple weed species as well as sweet corn. In general, while these structures were not quite as active as commercial auxin mimic herbicides, multiple compounds exhibited broadleaf weed activity with concurrent selectivity in sweet corn (Zea mays L. var. saccharum). In addition, differential results were observed upon subtle changes to structure, providing insights into the structural properties required for activity.
- Published
- 2016
- Full Text
- View/download PDF
31. A new amino acid substitution (Ala-205-Phe) in acetolactate synthase (ALS) confers broad spectrum resistance to ALS-inhibiting herbicides.
- Author
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Brosnan JT, Vargas JJ, Breeden GK, Grier L, Aponte RA, Tresch S, and Laforest M
- Subjects
- Acetolactate Synthase genetics, Alanine metabolism, Amino Acid Substitution, Base Sequence, Homozygote, Molecular Sequence Data, Mutation, Phenylalanine metabolism, Poa drug effects, Poa enzymology, Recombinant Proteins, Sequence Analysis, DNA, Acetolactate Synthase metabolism, Herbicide Resistance, Herbicides pharmacology, Poa genetics
- Abstract
Main Conclusion: This is a first report of an Ala-205-Phe substitution in acetolactate synthase conferring resistance to imidazolinone, sulfonylurea, triazolopyrimidines, sulfonylamino-carbonyl-triazolinones, and pyrimidinyl (thio) benzoate herbicides. Resistance to acetolactate synthase (ALS) and photosystem II inhibiting herbicides was confirmed in a population of allotetraploid annual bluegrass (Poa annua L.; POAAN-R3) selected from golf course turf in Tennessee. Genetic sequencing revealed that seven of eight POAAN-R3 plants had a point mutation in the psbA gene resulting in a known Ser-264-Gly substitution on the D1 protein. Whole plant testing confirmed that this substitution conferred resistance to simazine in POAAN-R3. Two homeologous forms of the ALS gene (ALSa and ALSb) were detected and expressed in all POAAN-R3 plants sequenced. The seven plants possessing the Ser-264-Gly mutation conferring resistance to simazine also had a homozygous Ala-205-Phe substitution on ALSb, caused by two nucleic acid substitutions in one codon. In vitro ALS activity assays with recombinant protein and whole plant testing confirmed that this Ala-205-Phe substitution conferred resistance to imidazolinone, sulfonylurea, triazolopyrimidines, sulfonylamino-carbonyl- triazolinones, and pyrimidinyl (thio) benzoate herbicides. This is the first report of Ala-205-Phe mutation conferring wide spectrum resistance to ALS inhibiting herbicides.
- Published
- 2016
- Full Text
- View/download PDF
32. Polynomial law for controlling the generation of n-scroll chaotic attractors in an optoelectronic delayed oscillator.
- Author
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Márquez BA, Suárez-Vargas JJ, and Ramírez JA
- Abstract
Controlled transitions between a hierarchy of n-scroll attractors are investigated in a nonlinear optoelectronic oscillator. Using the system's feedback strength as a control parameter, it is shown experimentally the transition from Van der Pol-like attractors to 6-scroll, but in general, this scheme can produce an arbitrary number of scrolls. The complexity of every state is characterized by Lyapunov exponents and autocorrelation coefficients.
- Published
- 2014
- Full Text
- View/download PDF
33. Predictors of suffering in advanced cancer.
- Author
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Krikorian A, Limonero JT, Román JP, Vargas JJ, and Palacio C
- Subjects
- Adaptation, Psychological, Female, Health Status, Humans, Interviews as Topic, Male, Severity of Illness Index, Social Participation psychology, Socioeconomic Factors, Spirituality, Neoplasms psychology, Palliative Care psychology, Stress, Psychological psychology, Surveys and Questionnaires standards
- Abstract
Context: Suffering is a complex experience. Identifying its predictors is useful to signal at-risk patients., Objective: To identify suffering predictors in patients with advanced cancer in palliative care., Methods: A total of 98 patients participated in the study. A semistructured interview examining suffering levels and physical, psychological, social, and spiritual aspects was used. Instruments included Pictorial Representation of Illness and Self Measure (PRISM), Edmonton Symptom Assessment System (ESAS), Detection of emotional distress (DED), and Structured Interview of Symptoms and Concern (SISC). Variance-based structural equation model was used for the data analysis., Results: All measures were valid and reliable. The structural model explained 64% of the variance. Suffering levels were directly determined by psychological and adjustment problems and indirectly determined by physical, psychological, and spiritual aspects and coping strategies., Conclusion: Our study supports the proposed theoretical model and signals the important mediating effect of psychological and spiritual variables between physical symptoms and suffering., (© The Author(s) 2013.)
- Published
- 2014
- Full Text
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34. Assessing suffering in advanced cancer patients using Pictorial Representation of Illness and Self-Measure (PRISM), preliminary validation of the Spanish version in a Latin American population.
- Author
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Krikorian A, Limonero JT, Vargas JJ, and Palacio C
- Subjects
- Adult, Aged, Aged, 80 and over, Colombia, Cross-Sectional Studies, Female, Humans, Language, Male, Middle Aged, Neoplasms physiopathology, Neoplasms psychology, Neoplasms therapy, Pain Measurement methods, Palliative Care, Reproducibility of Results, Severity of Illness Index, United States, Young Adult, Diagnostic Self Evaluation, Neoplasms diagnosis, Psychometrics methods
- Abstract
Purpose: This study aims to adapt the Pictorial Representation of Illness and Self-Measure (PRISM), a practical, nonverbal method with strong psychometric properties, to Spanish and to explore its criterion validity in advanced cancer and palliative care (PC)., Methods: Of the consecutive advanced cancer patients attending a palliative care consultation, 209 were invited to participate. To examine criterion validity, correlations were calculated between the PRISM, the Detection of Emotional Distress scale (DED), the Edmonton Symptom Assessment System (ESAS), the Structured Interview of Symptoms and Concerns (SISC), and the suffering visual analogue scale (VAS)., Results: Ninety-eight patients fulfilled inclusion criteria (mean age, 60 years; SD, 14.25; 57 % female). The most frequent types of cancer were lung, breast, and colorectal. Average time since diagnosis was 30 months (2.5 years). PRISM significantly correlated with the Suffering VAS, the DED, and the SISC. It also showed significant correlations with psychosocial factors such as emotional distress, anxiety, loss of control, and perceived coping and spiritual distress items such as loss of dignity and hopelessness, but not with items examining physical symptoms., Conclusions: The PRISM is a valid measure of suffering in advanced cancer patients. Its Spanish version fits adequately with current definitions and conceptualizations of suffering and may be used in PC settings. Further analysis of other psychometric properties in Spanish-speaking settings is recommended.
- Published
- 2013
- Full Text
- View/download PDF
35. [Probable case of flea-borne spotted fever (Rickettsia felis)].
- Author
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Faccini-Martínez ÁA, Forero-Becerra EG, Cortés-Vecino JA, Polo-Teran LJ, Jácome JH, Vargas JJ, Valbuena G, and Hidalgo M
- Subjects
- Adolescent, Animals, Antibodies, Bacterial blood, Cats, Dengue diagnosis, Diagnosis, Differential, Dogs, Environmental Exposure, Horses, Humans, Immunoglobulin G blood, Leukopenia etiology, Male, Rickettsia Infections blood, Rickettsia Infections transmission, Rickettsia felis immunology, Thrombocytopenia etiology, Ctenocephalides microbiology, Rickettsia Infections diagnosis, Rickettsia felis isolation & purification
- Abstract
Rickettsia felis is the etiologic agent of flea-borne spotted fever, with Ctenocephalides felis as its main vector and reservoir. Typically, the disease presents as acute fever associated with headache, asthenia, generalized maculo-papular rash, and in some cases, an inoculation eschar. In recent years, R. felis has acquired an important role in the etiology of the acute febrile syndrome; it is indeed an emerging infectious disease, albeit underdiagnosed. Indirect immunofluorescence assay (IFA) is currently the reference diagnostic method. However, this technique has limitations related to the cross reactivity among different species of rickettsiae. Herein, we describe a case of a 16 year-old patient with an acute febrile syndrome secondary to probable infection with R. felis.
- Published
- 2013
36. Diverse routes to oscillation death in a coupled oscillator system.
- Author
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Suárez-Vargas JJ, González JA, Stefanovska A, and McClintock PV
- Abstract
We study oscillation death (OD) in a well-known coupled-oscillator system that has been used to model cardiovascular phenomena. We derive exact analytic conditions that allow the prediction of OD through the two known bifurcation routes, in the same model, and for different numbers of coupled oscillators. Our exact analytic results enable us to generalize OD as a multiparameter-sensitive phenomenon. It can be induced, not only by changes in couplings, but also by changes in the oscillator frequencies or amplitudes. We observe synchronization transitions as a function of coupling and confirm the robustness of the phenomena in the presence of noise. Numerical and analogue simulations are in good agreement with the theory.
- Published
- 2009
- Full Text
- View/download PDF
37. [Seroprevalence of canine visceral leishmaniasis in sector 8 of Neiva and in four municipalities of Huila, Colombia].
- Author
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Fernández J, Bello F, López MC, Moncada LI, Vargas JJ, Ayala MS, Nicholls RS, and Lozano CA
- Subjects
- Animals, Colombia epidemiology, Dogs, Female, Leishmaniasis, Visceral blood, Leishmaniasis, Visceral epidemiology, Male, Seroepidemiologic Studies, Dog Diseases blood, Dog Diseases epidemiology, Immunoglobulin G blood, Leishmania infantum immunology, Leishmaniasis, Visceral veterinary
- Abstract
Introduction: Canine visceral leishmaniasis in endemic areas of Colombia could be a public health risk factor given the zoonotic nature of the disease. Ninety-six human cases of visceral leishmaniasis were reported in Colombia in 2004, 5 of them in Huila, where Lutzomyia longipalpis has been incriminated as the main vector species., Objective: To determine the prevalence of IgG antibodies against Leishmania chagasi in dogs from the sector 8 of the city of Neiva and the from the towns of Villavieja, Algeciras, Palermo and Rivera located in Huila, Colombia., Materials and Methods: An epidemiological survey was carried out in 610 dogs, which included clinical examination and venopuncture for obtaining blood samples. Authorization was obtained from the dog owners. The sera were analyzed by the ELISA test with promastigotes of the L. chagasi strain MHOM/CO84/CLO44B as antigen., Results: The canine population had an average age of 2.5 years; 67.3% of the dogs were males and the cross-bred animals were the most prevalent constituting 85% of those samples. On clinical examination the main signs were onicogriphosis 24.3%, lymphadenitis 10% and skin lesions 5%. The presence of antibodies was observed in 28.1% of the dogs from sector 8 of Neiva, 28% in Villavieja, 14.9% in Rivera, 10% in Palermo and 5.1% in Algeciras. An average ratio of five people cohabitating per seropositive dog was observed., Conclusions: The results reflect the exposure to Leishmania chagasi infection of dogs living in both urban and rural environments in the studied zones, and should encourage health authorities to carry out control measures to prevent the spread of this zoonotic disease.
- Published
- 2006
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