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1. Simultaneous Determination of Pyridate, Quizalofop-ethyl, and Cyhalofop-butyl Residues in Agricultural Products Using Liquid Chromatography-Tandem Mass Spectrometry

Author

Shim, J.-H. Rahman, M.M. Zaky, A.A. Lee, S.-J. Jo, A. Yun, S.-H. Eun, J.-B. Kim, J.-H. Park, J.-W. Oz, E. Proestos, C. Oz, F. Abd El-Aty, A.M.

Abstract

An analytical method was developed to simultaneously determine pyridate, quizalofop-ethyl, and cyhalofop-butyl in brown rice, soybean, potato, pepper, and mandarin using LC-MS/MS. Purification was optimized using various sorbents: primary–secondary amine, octadecyl (C18) silica gel, graphitized carbon black, zirconium dioxide-modified silica particles, zirconium dioxide-modified silica particles (Z-SEP), and multi-walled carbon nanotubes (MWCNTs). Three versions of QuECHERS methods were then tested using the optimal purification agent. Finally, samples were extracted using acetonitrile and QuEChERS EN salts and purified using the Z-SEP sorbent. A six-point matrix-matched external calibration curve was constructed for the analytes. Good linearity was achieved with a determination coefficient ≥0.999. The limits of detection and quantification were 0.0075 mg/kg and 0.01 mg/kg, respectively. The method was validated after fortifying the target standards to the blank matrices at three concentration levels with five replicates for each concentration. The average recovery was within an acceptable range (70–120%), with a relative standard deviation

Published
2022

2. Understanding the Intermittency of the Wintertime North Atlantic Oscillation and East Atlantic Pattern Seasonal Forecast Skill in the Copernicus C3S Multi‐Model Ensemble

Author

L. H. Baker, L. C. Shaffrey, S. J. Johnson, and A. Weisheimer

Subjects
seasonal forecasting, North Atlantic, East Atlantic Pattern, predictability, forecast skill, Geophysics. Cosmic physics, QC801-809
Abstract

Abstract The wintertime North Atlantic Oscillation (NAO) and East Atlantic Pattern (EA) are the two leading modes of North Atlantic pressure variability and have a substantial impact on winter weather in Europe. The year‐to‐year contributions to multi‐model seasonal forecast skill in the Copernicus C3S ensemble of seven prediction systems are assessed for the wintertime NAO and EA, and well‐forecast and poorly‐forecast years are identified. Years with high NAO predictability are associated with substantial tropical forcing, generally from the El Niño Southern Oscillation (ENSO), while poor forecasts of the NAO occur when ENSO forcing is weak. Well‐forecast EA winters also generally occurred when there was substantial tropical forcing, although the relationship was less robust than for the NAO. These results support previous findings of the impacts of tropical forcing on the North Atlantic and show this is important from a multi‐model seasonal forecasting perspective.

Published
2024
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3. Search for $$D^{*}(2007)^{0} \rightarrow \mu ^{+} \mu ^{-}$$ D ∗ ( 2007 ) 0 → μ + μ - in $$B^{-}\rightarrow \pi ^{-} \mu ^{+} \mu ^{-}$$ B - → π - μ + μ - decays

Author

R. Aaij, A. S. W. Abdelmotteleb, C. Abellan Beteta, F. Abudinén, T. Ackernley, B. Adeva, M. Adinolfi, P. Adlarson, H. Afsharnia, C. Agapopoulou, C. A. Aidala, Z. Ajaltouni, S. Akar, K. Akiba, P. Albicocco, J. Albrecht, F. Alessio, M. Alexander, A. Alfonso Albero, Z. Aliouche, P. Alvarez Cartelle, R. Amalric, S. Amato, J. L. Amey, Y. Amhis, L. An, L. Anderlini, M. Andersson, A. Andreianov, M. Andreotti, D. Andreou, D. Ao, F. Archilli, A. Artamonov, M. Artuso, E. Aslanides, M. Atzeni, B. Audurier, I.B. Bachiller Perea, S. Bachmann, M. Bachmayer, J. J. Back, A. Bailly-reyre, P. Baladron Rodriguez, V. Balagura, W. Baldini, J. Baptista de Souza Leite, M. Barbetti, I. R. Barbosa, R. J. Barlow, S. Barsuk, W. Barter, M. Bartolini, F. Baryshnikov, J. M. Basels, G. Bassi, B. Batsukh, A. Battig, A. Bay, A. Beck, M. Becker, F. Bedeschi, I. B. Bediaga, A. Beiter, S. Belin, V. Bellee, K. Belous, I. Belov, I. Belyaev, G. Benane, G. Bencivenni, E. Ben-Haim, A. Berezhnoy, R. Bernet, S. Bernet Andres, D. Berninghoff, H. C. Bernstein, C. Bertella, A. Bertolin, C. Betancourt, F. Betti, Ia. Bezshyiko, J. Bhom, L. Bian, M. S. Bieker, N. V. Biesuz, P. Billoir, A. Biolchini, M. Birch, F. C. R. Bishop, A. Bitadze, A. Bizzeti, M. P. Blago, T. Blake, F. Blanc, J. E. Blank, S. Blusk, D. Bobulska, V. B. Bocharnikov, J. A. Boelhauve, O. Boente Garcia, T. Boettcher, A. Boldyrev, C. S. Bolognani, R. Bolzonella, N. Bondar, F. Borgato, S. Borghi, M. Borsato, J. T. Borsuk, S. A. Bouchiba, T. J. V. Bowcock, A. Boyer, C. Bozzi, M. J. Bradley, S. Braun, A. Brea Rodriguez, N. Breer, J. Brodzicka, A. Brossa Gonzalo, J. Brown, D. Brundu, A. Buonaura, L. Buonincontri, A. T. Burke, C. Burr, A. Bursche, A. Butkevich, J. S. Butter, J. Buytaert, W. Byczynski, S. Cadeddu, H. Cai, R. Calabrese, L. Calefice, S. Cali, M. Calvi, M. Calvo Gomez, P. Campana, D. H. Campora Perez, A. F. Campoverde Quezada, S. Capelli, L. Capriotti, A. Carbone, R. Cardinale, A. Cardini, P. Carniti, L. Carus, A. Casais Vidal, R. Caspary, G. Casse, M. Cattaneo, G. Cavallero, V. Cavallini, S. Celani, J. Cerasoli, D. Cervenkov, A. J. Chadwick, I. Chahrour, M. G. Chapman, M. Charles, Ph. Charpentier, C. A. Chavez Barajas, M. Chefdeville, C. Chen, S. Chen, A. Chernov, S. Chernyshenko, V. Chobanova, S. Cholak, M. Chrzaszcz, A. Chubykin, V. Chulikov, P. Ciambrone, M. F. Cicala, X. Cid Vidal, G. Ciezarek, P. Cifra, G. Ciullo, P. E. L. Clarke, M. Clemencic, H. V. Cliff, J. Closier, J. L. Cobbledick, V. Coco, J. Cogan, E. Cogneras, L. Cojocariu, P. Collins, T. Colombo, L. Congedo, A. Contu, N. Cooke, I. Corredoira, G. Corti, B. Couturier, D. C. Craik, M. Cruz Torres, R. Currie, C. L. Da Silva, S. Dadabaev, L. Dai, X. Dai, E. Dall’Occo, J. Dalseno, C. D’Ambrosio, J. Daniel, A. Danilina, P. d’Argent, J. E. Davies, A. Davis, O. De Aguiar Francisco, J. de Boer, K. De Bruyn, S. De Capua, M. De Cian, U. De Freitas Carneiro Da Graca, E. De Lucia, J. M. De Miranda, L. De Paula, M. De Serio, D. De Simone, P. De Simone, F. De Vellis, J. A. de Vries, C. T. Dean, F. Debernardis, D. Decamp, V. Dedu, L. Del Buono, B. Delaney, H.-P. Dembinski, V. Denysenko, O. Deschamps, F. Dettori, B. Dey, P. Di Nezza, I. Diachkov, S. Didenko, L. Dieste Maronas, S. Ding, V. Dobishuk, A. Dolmatov, C. Dong, A. M. Donohoe, F. Dordei, A. C. dos Reis, L. Douglas, A. G. Downes, P. Duda, M. W. Dudek, L. Dufour, V. Duk, P. Durante, M. M. Duras, J. M. Durham, D. Dutta, A. Dziurda, A. Dzyuba, S. Easo, U. Egede, A. Egorychev, V. Egorychev, C. Eirea Orro, S. Eisenhardt, E. Ejopu, S. Ek-In, L. Eklund, M. E. Elashri, J. Ellbracht, S. Ely, A. Ene, E. Epple, S. Escher, J. Eschle, S. Esen, T. Evans, F. Fabiano, L. N. Falcao, Y. Fan, B. Fang, L. Fantini, M. Faria, S. Farry, D. Fazzini, L. F. Felkowski, M. Feo, M. Fernandez Gomez, A. D. Fernez, F. Ferrari, L. Ferreira Lopes, F. Ferreira Rodrigues, S. Ferreres Sole, M. Ferrillo, M. Ferro-Luzzi, S. Filippov, R. A. Fini, M. Fiorini, M. Firlej, K. M. Fischer, D. S. Fitzgerald, C. Fitzpatrick, T. Fiutowski, F. Fleuret, M. Fontana, F. Fontanelli, R. Forty, D. Foulds-Holt, V. Franco Lima, M. Franco Sevilla, M. Frank, E. Franzoso, G. Frau, C. Frei, D. A. Friday, L. F. Frontini, J. Fu, Q. Fuehring, T. Fulghesu, E. Gabriel, G. Galati, M. D. Galati, A. Gallas Torreira, D. Galli, S. Gambetta, M. Gandelman, P. Gandini, H. G. Gao, R. Gao, Y. Gao, M. Garau, L. M. Garcia Martin, P. Garcia Moreno, J. García Pardiñas, B. Garcia Plana, F. A. Garcia Rosales, L. Garrido, C. Gaspar, R. E. Geertsema, D. Gerick, L. L. Gerken, E. Gersabeck, M. Gersabeck, T. Gershon, L. Giambastiani, V. Gibson, H. K. Giemza, A. L. Gilman, M. Giovannetti, A. Gioventù, P. Gironella Gironell, C. Giugliano, M. A. Giza, K. Gizdov, E. L. Gkougkousis, V. V. Gligorov, C. Göbel, E. Golobardes, D. Golubkov, A. Golutvin, A. Gomes, S. Gomez Fernandez, F. Goncalves Abrantes, M. Goncerz, G. Gong, I. V. Gorelov, C. Gotti, J. P. Grabowski, T. Grammatico, L. A. Granado Cardoso, E. Graugés, E. Graverini, G. Graziani, A. T. Grecu, L. M. Greeven, N. A. Grieser, L. Grillo, S. Gromov, C. Gu, M. Guarise, M. Guittiere, V. Guliaeva, P. A. Günther, A. K. Guseinov, E. Gushchin, Y. Guz, T. Gys, T. Hadavizadeh, C. Hadjivasiliou, G. Haefeli, C. Haen, J. Haimberger, S. C. Haines, T. Halewood-leagas, M. M. Halvorsen, P. M. Hamilton, J. Hammerich, Q. Han, X. Han, S. Hansmann-Menzemer, L. Hao, N. Harnew, T. Harrison, C. Hasse, M. Hatch, J. He, K. Heijhoff, F. H. Hemmer, C. Henderson, R. D. L. Henderson, A. M. Hennequin, K. Hennessy, L. Henry, J. Herd, J. Heuel, A. Hicheur, D. Hill, M. Hilton, S. E. Hollitt, J. Horswill, R. Hou, Y. Hou, J. Hu, W. Hu, X. Hu, W. Huang, X. Huang, W. Hulsbergen, R. J. Hunter, M. Hushchyn, D. Hutchcroft, P. Ibis, M. Idzik, D. Ilin, P. Ilten, A. Inglessi, A. Iniukhin, A. Ishteev, K. Ivshin, R. Jacobsson, H. Jage, S. J. Jaimes Elles, S. Jakobsen, E. Jans, B. K. Jashal, A. Jawahery, V. Jevtic, E. Jiang, X. Jiang, Y. Jiang, M. John, D. Johnson, C. R. Jones, T. P. Jones, S. J. Joshi, B. Jost, N. Jurik, I. Juszczak, S. Kandybei, Y. Kang, M. Karacson, D. Karpenkov, M. Karpov, J. W. Kautz, F. Keizer, D. M. Keller, M. Kenzie, T. Ketel, B. Khanji, A. Kharisova, S. Kholodenko, G. Khreich, T. Kirn, V. S. Kirsebom, O. Kitouni, S. Klaver, N. Kleijne, K. Klimaszewski, M. R. Kmiec, S. Koliiev, L. Kolk, A. Kondybayeva, A. Konoplyannikov, P. Kopciewicz, R. Kopecna, P. Koppenburg, M. Korolev, I. Kostiuk, O. Kot, S. Kotriakhova, A. Kozachuk, P. Kravchenko, L. Kravchuk, M. Kreps, S. Kretzschmar, P. Krokovny, W. Krupa, W. Krzemien, J. Kubat, S. Kubis, W. Kucewicz, M. Kucharczyk, V. Kudryavtsev, E. K. Kulikova, A. Kupsc, D. Lacarrere, G. Lafferty, A. Lai, A. Lampis, D. Lancierini, C. Landesa Gomez, J. J. Lane, R. Lane, C. Langenbruch, J. Langer, O. Lantwin, T. Latham, F. Lazzari, C. Lazzeroni, R. Le Gac, S. H. Lee, R. Lefèvre, A. Leflat, S. Legotin, P. Lenisa, O. Leroy, T. Lesiak, B. Leverington, A. Li, H. Li, K. Li, P. Li, P.-R. Li, S. Li, T. Li, Y. Li, Z. Li, Z. Lian, X. Liang, C. Lin, T. Lin, R. Lindner, V. Lisovskyi, R. Litvinov, G. Liu, H. Liu, K. Liu, Q. Liu, S. Liu, A. Lobo Salvia, A. Loi, R. Lollini, J. Lomba Castro, I. Longstaff, J. H. Lopes, A. Lopez Huertas, S. L.ópez Soliño, G. H. Lovell, Y. Lu, C. Lucarelli, D. Lucchesi, S. Luchuk, M. Lucio Martinez, V. Lukashenko, Y. Luo, A. Lupato, E. Luppi, K. Lynch, X.-R. Lyu, R. Ma, S. Maccolini, F. Machefert, F. Maciuc, I. Mackay, V. Macko, L. R. Madhan Mohan, A. Maevskiy, D. Maisuzenko, M. W. Majewski, J. J. Malczewski, S. Malde, B. Malecki, A. Malinin, T. Maltsev, G. Manca, G. Mancinelli, C. Mancuso, R. Manera Escalero, D. Manuzzi, C. A. Manzari, D. Marangotto, J. F. Marchand, U. Marconi, S. Mariani, C. Marin Benito, J. Marks, A. M. Marshall, P. J. Marshall, G. Martelli, G. Martellotti, L. Martinazzoli, M. Martinelli, D. Martinez Santos, F. Martinez Vidal, A. Massafferri, M. Materok, R. Matev, A. Mathad, V. Matiunin, C. Matteuzzi, K. R. Mattioli, A. Mauri, E. Maurice, J. Mauricio, M. Mazurek, M. McCann, L. Mcconnell, T. H. McGrath, N. T. McHugh, A. McNab, R. McNulty, B. Meadows, G. Meier, D. Melnychuk, S. Meloni, M. Merk, A. Merli, L. Meyer Garcia, D. Miao, H. Miao, M. Mikhasenko, D. A. Milanes, M. Milovanovic, M.-N. Minard, A. Minotti, E. Minucci, T. Miralles, S. E. Mitchell, B. Mitreska, D. S. Mitzel, A. Modak, A. Mödden, R. A. Mohammed, R. D. Moise, S. Mokhnenko, T. Mombächer, M. Monk, I. A. Monroy, S. Monteil, G. Morello, M. J. Morello, M. P. Morgenthaler, J. Moron, A. B. Morris, A. G. Morris, R. Mountain, H. Mu, E. Muhammad, F. Muheim, M. Mulder, K. Müller, D. Murray, R. Murta, P. Muzzetto, P. Naik, T. Nakada, R. Nandakumar, T. Nanut, I. Nasteva, M. Needham, N. Neri, S. Neubert, N. Neufeld, P. Neustroev, R. Newcombe, J. Nicolini, D. Nicotra, E. M. Niel, S. Nieswand, N. Nikitin, N. S. Nolte, C. Normand, J. Novoa Fernandez, G. N. Nowak, C. Nunez, A. Oblakowska-Mucha, V. Obraztsov, T. Oeser, S. Okamura, R. Oldeman, F. Oliva, M. O. Olocco, C. J. G. Onderwater, R. H. O’Neil, J. M. Otalora Goicochea, T. Ovsiannikova, P. Owen, A. Oyanguren, O. Ozcelik, K. O. Padeken, B. Pagare, P. R. Pais, T. Pajero, A. Palano, M. Palutan, G. Panshin, L. Paolucci, A. Papanestis, M. Pappagallo, L. L. Pappalardo, C. Pappenheimer, W. Parker, C. Parkes, B. Passalacqua, G. Passaleva, A. Pastore, M. Patel, C. Patrignani, C. J. Pawley, A. Pellegrino, M. Pepe Altarelli, S. Perazzini, D. Pereima, A. Pereiro Castro, P. Perret, K. Petridis, A. Petrolini, S. Petrucci, M. Petruzzo, H. Pham, A. Philippov, R. Piandani, L. Pica, M. Piccini, B. Pietrzyk, G. Pietrzyk, D. Pinci, F. Pisani, M. Pizzichemi, V. Placinta, J. Plews, M. Plo Casasus, F. Polci, M. Poli Lener, A. Poluektov, N. Polukhina, I. Polyakov, E. Polycarpo, S. Ponce, D. Popov, S. Poslavskii, K. Prasanth, L. Promberger, C. Prouve, V. Pugatch, V. Puill, G. Punzi, H. R. Qi, W. Qian, N. Qin, S. Qu, R. Quagliani, N. V. Raab, B. Rachwal, J. H. Rademacker, R. Rajagopalan, M. Rama, M. Ramos Pernas, M. S. Rangel, F. Ratnikov, G. Raven, M. Rebollo De Miguel, F. Redi, J. Reich, F. Reiss, Z. Ren, P. K. Resmi, R. Ribatti, A. M. Ricci, S. Ricciardi, K. Richardson, M. Richardson-Slipper, K. Rinnert, P. Robbe, G. Robertson, E. Rodrigues, E. Rodriguez Fernandez, J. A. Rodriguez Lopez, E. Rodriguez Rodriguez, D. L. Rolf, A. Rollings, P. Roloff, V. Romanovskiy, M. Romero Lamas, A. Romero Vidal, M. Rotondo, M. S. Rudolph, T. Ruf, R. A. Ruiz Fernandez, J. Ruiz Vidal, A. Ryzhikov, J. Ryzka, J. J. Saborido Silva, N. Sagidova, N. Sahoo, B. Saitta, M. Salomoni, C. Sanchez Gras, I. Sanderswood, R. Santacesaria, C. Santamarina Rios, M. Santimaria, L. Santoro, E. Santovetti, D. Saranin, G. Sarpis, M. Sarpis, A. Sarti, C. Satriano, A. Satta, M. Saur, D. Savrina, H. Sazak, L. G. Scantlebury Smead, A. Scarabotto, S. Schael, S. Scherl, A. M. Schertz, M. Schiller, H. Schindler, M. Schmelling, B. Schmidt, S. Schmitt, O. Schneider, A. Schopper, M. Schubiger, N. Schulte, S. Schulte, M. H. Schune, R. Schwemmer, G. Schwering, B. Sciascia, A. Sciuccati, S. Sellam, A. Semennikov, M. Senghi Soares, A. Sergi, N. Serra, L. Sestini, A. Seuthe, Y. Shang, D. M. Shangase, M. Shapkin, I. Shchemerov, L. Shchutska, T. Shears, L. Shekhtman, Z. Shen, S. Sheng, V. Shevchenko, B. Shi, E. B. Shields, Y. Shimizu, E. Shmanin, R. Shorkin, J. D. Shupperd, B. G. Siddi, R. Silva Coutinho, G. Simi, S. Simone, M. Singla, N. Skidmore, R. Skuza, T. Skwarnicki, M. W. Slater, J. C. Smallwood, J. G. Smeaton, E. Smith, K. Smith, M. Smith, A. Snoch, L. Soares Lavra, M. D. Sokoloff, F. J. P. Soler, A. Solomin, A. Solovev, I. Solovyev, R. Song, F. L. Souza De Almeida, B. Souza De Paula, E. Spadaro Norella, E. Spedicato, J. G. Speer, E. Spiridenkov, P. Spradlin, V. Sriskaran, F. Stagni, M. Stahl, S. Stahl, S. Stanislaus, E. N. Stein, O. Steinkamp, O. Stenyakin, H. Stevens, D. Strekalina, Y. S. Su, F. Suljik, J. Sun, L. Sun, Y. Sun, P. N. Swallow, K. Swientek, A. Szabelski, T. Szumlak, M. Szymanski, Y. Tan, S. Taneja, M. D. Tat, A. Terentev, F. Teubert, E. Thomas, D. J. D. Thompson, H. Tilquin, V. Tisserand, S. T’Jampens, M. Tobin, L. Tomassetti, G. Tonani, X. Tong, D. Torres Machado, L. Toscano, D. Y. Tou, C. Trippl, G. Tuci, N. Tuning, A. Ukleja, D. J. Unverzagt, A. Usachov, A. Ustyuzhanin, U. Uwer, V. Vagnoni, A. Valassi, G. Valenti, N. Valls Canudas, M. Van Dijk, H. Van Hecke, E. van Herwijnen, C. B. Van Hulse, M. van Veghel, R. Vazquez Gomez, P. Vazquez Regueiro, C. V.ázquez Sierra, S. Vecchi, J. J. Velthuis, M. Veltri, A. Venkateswaran, M. Vesterinen, D. Vieira, M. Vieites Diaz, X. Vilasis-Cardona, E. Vilella Figueras, A. Villa, P. Vincent, F. C. Volle, D. vom Bruch, V. Vorobyev, N. Voropaev, K. Vos, C. Vrahas, J. Walsh, E. J. Walton, G. Wan, C. Wang, G. Wang, J. Wang, M. Wang, R. Wang, X. Wang, Y. Wang, Z. Wang, J. A. Ward, N. K. Watson, D. Websdale, Y. Wei, B. D. C. Westhenry, D. J. White, M. Whitehead, A. R. Wiederhold, D. Wiedner, G. Wilkinson, M. K. Wilkinson, I. Williams, M. Williams, M. R. J. Williams, R. Williams, F. F. Wilson, W. Wislicki, M. Witek, L. Witola, C. P. Wong, G. Wormser, S. A. Wotton, H. Wu, J. Wu, Y. Wu, K. Wyllie, Z. Xiang, Y. Xie, A. Xu, J. Xu, L. Xu, M. Xu, Q. Xu, Z. Xu, D. Yang, S. Yang, X. Yang, Y. Yang, Z. Yang, V. Yeroshenko, H. Yeung, H. Yin, J. Yu, X. Yuan, E. Zaffaroni, M. Zavertyaev, M. Zdybal, M. Zeng, C. Zhang, D. Zhang, J. Zhang, L. Zhang, S. Zhang, Y. Zhang, Y. Zhao, A. Zharkova, A. Zhelezov, Y. Zheng, T. Zhou, X. Zhou, Y. Zhou, V. Zhovkovska, X. Zhu, Z. Zhu, V. Zhukov, J. Zhuo, Q. Zou, S. Zucchelli, D. Zuliani, G. Zunica, and LHCb collaboration

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

Abstract The very rare $${{D} ^*} (2007)^0\!\rightarrow {\mu ^+\mu ^-} $$ D ∗ ( 2007 ) 0 → μ + μ - decay is searched for by analysing $${{{B} ^-}} \!\rightarrow {{\pi } ^-} {\mu ^+\mu ^-} $$ B - → π - μ + μ - decays. The analysis uses a sample of beauty mesons produced in proton–proton collisions collected with the LHCb detector between 2011 and 2018, corresponding to an integrated luminosity of 9 $$\text {\,fb} ^{-1}$$ \,fb - 1 . The signal signature corresponds to simultaneous peaks in the $${\mu ^+\mu ^-} $$ μ + μ - and $${{\pi } ^-} {\mu ^+\mu ^-} $$ π - μ + μ - invariant masses. No evidence for an excess of events over background is observed and an upper limit is set on the branching fraction of the decay at $$\mathcal{B}({{D} ^*} (2007)^0\!\rightarrow {\mu ^+\mu ^-} ) < 2.6\times 10^{-8}$$ B ( D ∗ ( 2007 ) 0 → μ + μ - ) < 2.6 × 10 - 8 at $$90\%$$ 90 % confidence level. This is the first limit on the branching fraction of $${{D} ^*} (2007)^0\!\rightarrow {\mu ^+\mu ^-} $$ D ∗ ( 2007 ) 0 → μ + μ - decays and the most stringent limit on $${{D} ^*} (2007)^0$$ D ∗ ( 2007 ) 0 decays to leptonic final states. The analysis is the first search for a rare charm-meson decay exploiting production via beauty decays.

Published
2023
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4. SEAS5: the new ECMWF seasonal forecast system

Author

S. J. Johnson, T. N. Stockdale, L. Ferranti, M. A. Balmaseda, F. Molteni, L. Magnusson, S. Tietsche, D. Decremer, A. Weisheimer, G. Balsamo, S. P. E. Keeley, K. Mogensen, H. Zuo, and B. M. Monge-Sanz

Subjects
Geology, QE1-996.5
Abstract

In this paper we describe SEAS5, ECMWF's fifth generation seasonal forecast system, which became operational in November 2017. Compared to its predecessor, System 4, SEAS5 is a substantially changed forecast system. It includes upgraded versions of the atmosphere and ocean models at higher resolutions, and adds a prognostic sea-ice model. Here, we describe the configuration of SEAS5 and summarise the most noticeable results from a set of diagnostics including biases, variability, teleconnections and forecast skill. An important improvement in SEAS5 is the reduction of the equatorial Pacific cold tongue bias, which is accompanied by a more realistic El Niño amplitude and an improvement in El Niño prediction skill over the central-west Pacific. Improvements in 2 m temperature skill are also clear over the tropical Pacific. Sea-surface temperature (SST) biases in the northern extratropics change due to increased ocean resolution, especially in regions associated with western boundary currents. The increased ocean resolution exposes a new problem in the northwest Atlantic, where SEAS5 fails to capture decadal variability of the North Atlantic subpolar gyre, resulting in a degradation of DJF 2 m temperature prediction skill in this region. The prognostic sea-ice model improves seasonal predictions of sea-ice cover, although some regions and seasons suffer from biases introduced by employing a fully dynamical model rather than the simple, empirical scheme used in System 4. There are also improvements in 2 m temperature skill in the vicinity of the Arctic sea-ice edge. Cold temperature biases in the troposphere improve, but increase at the tropopause. Biases in the extratropical jets are larger than in System 4: extratropical jets are too strong, and displaced northwards in JJA. In summary, development and added complexity since System 4 has ensured that SEAS5 is a state-of-the-art seasonal forecast system which continues to display a particular strength in the El Niño Southern Oscillation (ENSO) prediction.

Published
2019
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5. A new quinoline-based chemical probe inhibits the autophagy-related cysteine protease ATG4B

Author

D. Bosc, L. Vezenkov, S. Bortnik, J. An, J. Xu, C. Choutka, A. M. Hannigan, S. Kovacic, S. Loo, P. G. K. Clark, G. Chen, R. N. Guay-Ross, K. Yang, W. H. Dragowska, F. Zhang, N. E. Go, A. Leung, N. S. Honson, T. A. Pfeifer, M. Gleave, M. Bally, S. J. Jones, S. M. Gorski, and R. N. Young

Subjects
Medicine, Science
Abstract

Abstract The cysteine protease ATG4B is a key component of the autophagy machinery, acting to proteolytically prime and recycle its substrate MAP1LC3B. The roles of ATG4B in cancer and other diseases appear to be context dependent but are still not well understood. To help further explore ATG4B functions and potential therapeutic applications, we employed a chemical biology approach to identify ATG4B inhibitors. Here, we describe the discovery of 4–28, a styrylquinoline identified by a combined computational modeling, in silico screening, high content cell-based screening and biochemical assay approach. A structure-activity relationship study led to the development of a more stable and potent compound LV-320. We demonstrated that LV-320 inhibits ATG4B enzymatic activity, blocks autophagic flux in cells, and is stable, non-toxic and active in vivo. These findings suggest that LV-320 will serve as a relevant chemical tool to study the various roles of ATG4B in cancer and other contexts.

Published
2018
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6. Mean and extreme precipitation over European river basins better simulated in a 25 km AGCM

Author

R. Schiemann, P. L. Vidale, L. C. Shaffrey, S. J. Johnson, M. J. Roberts, M.-E. Demory, M. S. Mizielinski, and J. Strachan

Subjects
Technology, Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350
Abstract

Limited spatial resolution is one of the factors that may hamper applications of global climate models (GCMs), in particular over Europe with its complex coastline and orography. In this study, the representation of European mean and extreme precipitation is evaluated in simulations with an atmospheric GCM (AGCM) at different resolutions between about 135 and 25 km grid spacing in the mid-latitudes. The continent-wide root-mean-square error in mean precipitation in the 25 km model is about 25  % smaller than in the 135 km model in winter. Clear improvements are also seen in autumn and spring, whereas the model's sensitivity to resolution is very small in summer. Extreme precipitation is evaluated by estimating generalised extreme value distributions (GEVs) of daily precipitation aggregated over river basins whose surface area is greater than 50 000 km2. GEV location and scale parameters are measures of the typical magnitude and of the interannual variability of extremes, respectively. Median model biases in both these parameters are around 10 % in summer and around 20 % in the other seasons. For some river basins, however, these biases can be much larger and take values between 50 % and 100 %. Extreme precipitation is better simulated in the 25 km model, especially during autumn when the median GEV parameter biases are more than halved, and in the North European Plains, from the Loire in the west to the Vistula in the east. A sensitivity experiment is conducted showing that these resolution sensitivities in both mean and extreme precipitation are in many areas primarily due to the increase in resolution of the model orography. The findings of this study illustrate the improved capability of a global high-resolution model in simulating European mean and extreme precipitation.

Published
2018
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7. An analysis of signal processing algorithm performance for cortical intrinsic optical signal imaging and strategies for algorithm selection

Author

J. A. Turley, K. Zalewska, M. Nilsson, F. R. Walker, and S. J. Johnson

Subjects
Medicine, Science
Abstract

Abstract Intrinsic Optical Signal (IOS) imaging has been used extensively to examine activity-related changes within the cerebral cortex. A significant technical challenge with IOS imaging is the presence of large noise, artefact components and periodic interference. Signal processing is therefore important in obtaining quality IOS imaging results. Several signal processing techniques have been deployed, however, the performance of these approaches for IOS imaging has never been directly compared. The current study aims to compare signal processing techniques that can be used when quantifying stimuli-response IOS imaging data. Data were gathered from the somatosensory cortex of mice following piezoelectric stimulation of the hindlimb. The effectiveness of each technique to remove noise and extract the IOS signal was compared for both spatial and temporal responses. Careful analysis of the advantages and disadvantages of each method were carried out to inform the choice of signal processing for IOS imaging. We conclude that spatial Gaussian filtering is the most effective choices for improving the spatial IOS response, whilst temporal low pass and bandpass filtering produce the best results for producing temporal responses when periodic stimuli are an option. Global signal regression and truncated difference also work well and do not require periodic stimuli.

Published
2017
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8. An improved north–south synchronization of ice core records around the 41 kyr 10Be peak

Author

G. M. Raisbeck, A. Cauquoin, J. Jouzel, A. Landais, J.-R. Petit, V. Y. Lipenkov, J. Beer, H.-A. Synal, H. Oerter, S. J. Johnsen, J. P. Steffensen, A. Svensson, and F. Yiou

Subjects
Environmental pollution, TD172-193.5, Environmental protection, TD169-171.8, Environmental sciences, GE1-350
Abstract

Using new high-resolution 10Be measurements in the NGRIP, EDML and Vostok ice cores, together with previously published data from EDC, we present an improved synchronization between Greenland and Antarctic ice cores during the Laschamp geomagnetic excursion ∼ 41 kyr ago. We estimate the precision of this synchronization to be ±20 years, an order of magnitude better than previous work. We discuss the implications of this new synchronization for making improved estimates of the depth difference between ice and enclosed gas of the same age (Δdepth), difference between age of ice and enclosed gas at the same depth (Δage) in the EDC and EDML ice cores, spectral properties of the 10Be profiles and phasing between Dansgaard–Oeschger-10 (in NGRIP) and AIM-10 (in EDML and EDC).

Published
2017
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