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Article ; Online: No link between the prevalence of hepatitis E virus infection and the diagnosis of schizophrenia.

Beisel, Claudia / Pischke, Sven / Mader, Maria / Moritz, Steffen / Schöttle, Daniel / Lüdecke, Daniel

2022 Volume 50, Issue 6, Page(s) 1623–1624

MeSH term(s)	Humans ; Hepatitis E virus/genetics ; Schizophrenia/diagnosis ; Schizophrenia/epidemiology ; Prevalence ; Hepatitis E/diagnosis ; Hepatitis E/epidemiology ; Hepatitis Antibodies
Chemical Substances	Hepatitis Antibodies
Language	English
Publishing date	2022-06-16
Publishing country	Germany
Document type	Letter
ZDB-ID	185104-4
ISSN	1439-0973 ; 0300-8126 ; 0173-2129
ISSN (online)	1439-0973
ISSN	0300-8126 ; 0173-2129
DOI	10.1007/s15010-022-01871-2
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Zs.A 881: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 528: Show issues

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Book ; Online: Direct data-driven forecast of local turbulent heat flux in Rayleigh-B\'{e}nard convection

Pandey, Sandeep / Teutsch, Philipp / Mäder, Patrick / Schumacher, Jörg

2022

Abstract: ... in a two-dimensional turbulent Rayleigh-B\'{e}nard convection flow at Prandtl number ${\rm Pr}=7$ and ...

Abstract	A combined convolutional autoencoder-recurrent neural network machine learning model is presented to analyse and forecast the dynamics and low-order statistics of the local convective heat flux field in a two-dimensional turbulent Rayleigh-B\'{e}nard convection flow at Prandtl number ${\rm Pr}=7$ and Rayleigh number ${\rm Ra}=10^7$. Two recurrent neural networks are applied for the temporal advancement of flow data in the reduced latent data space, a reservoir computing model in the form of an echo state network and a recurrent gated unit. Thereby, the present work exploits the modular combination of three different machine learning algorithms to build a fully data-driven and reduced model for the dynamics of the turbulent heat transfer in a complex thermally driven flow. The convolutional autoencoder with 12 hidden layers is able to reduce the dimensionality of the turbulence data to about 0.2 \% of their original size. Our results indicate a fairly good accuracy in the first- and second-order statistics of the convective heat flux. The algorithm is also able to reproduce the intermittent plume-mixing dynamics at the upper edges of the thermal boundary layers with some deviations. The same holds for the probability density function of the local convective heat flux with differences in the far tails. Furthermore, we demonstrate the noise resilience of the framework which suggests the present model might be applicable as a reduced dynamical model that delivers transport fluxes and their variations to the coarse grid cells of larger-scale computational models, such as global circulation models for the atmosphere and ocean. Comment: 14 pages, 13 figures
Keywords	Physics - Fluid Dynamics ; Computer Science - Computational Engineering ; Finance ; and Science ; Computer Science - Machine Learning
Subject code	532
Publishing date	2022-02-26
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Ratgeber E-Zigarette Einsteigen, Umsteigen, Aussteigen

Wölfling, Klaus / Mader, Lisa

Suchttherapie

2019 Volume 20, Issue 02, Page(s) 62–64

Language	German
Publishing date	2019-05-01
Publisher	© Georg Thieme Verlag KG
Publishing place	Stuttgart ; New York
Document type	Article
ZDB-ID	2017635-1
ISSN	1439-989X ; 1439-9903
ISSN (online)	1439-989X
ISSN	1439-9903
DOI	10.1055/a-0888-1634
Database	Thieme publisher's database

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Article: Search for charged Higgs bosons in e

Abbiendi, G / Ainsley, C / Åkesson, P F / Alexander, G / Anagnostou, G / Anderson, K J / Asai, S / Axen, D / Bailey, I / Barberio, E / Barillari, T / Barlow, R J / Batley, R J / Bechtle, P / Behnke, T / Bell, K W / Bell, P J / Bella, G / Bellerive, A /

Benelli, G / Bethke, S / Biebel, O / Boeriu, O / Bock, P / Boutemeur, M / Braibant, S / Brown, R M / Burckhart, H J / Campana, S / Capiluppi, P / Carnegie, R K / Carter, A A / Carter, J R / Chang, C Y / Charlton, D G / Ciocca, C / Csilling, A / Cuffiani, M / Dado, S / Dallavalle, M / De Roeck, A / De Wolf, E A / Desch, K / Dienes, B / Dubbert, J / Duchovni, E / Duckeck, G / Duerdoth, I P / Etzion, E / Fabbri, F / Ferrari, P / Fiedler, F / Fleck, I / Ford, M / Frey, A / Gagnon, P / Gary, J W / Geich-Gimbel, C / Giacomelli, G / Giacomelli, P / Giunta, M / Goldberg, J / Gross, E / Grunhaus, J / Gruwé, M / Gupta, A / Hajdu, C / Hamann, M / Hanson, G G / Harel, A / Hauschild, M / Hawkes, C M / Hawkings, R / Herten, G / Heuer, R D / Hill, J C / Hoffman, K / Horváth, D / Igo-Kemenes, P / Ishii, K / Jeremie, H / Jovanovic, P / Junk, T R / Kanzaki, J / Karlen, D / Kawagoe, K / Kawamoto, T / Keeler, R K / Kellogg, R G / Kennedy, B W / Kluth, S / Kobayashi, T / Kobel, M / Komamiya, S / Krämer, T / Krasznahorkay, A / Krieger, P / von Krogh, J / Kuhl, T / Kupper, M / Lafferty, G D / Landsman, H / Lanske, D / Lellouch, D / Letts, J / Levinson, L / Lillich, J / Lloyd, S L / Loebinger, F K / Lu, J / Ludwig, A / Ludwig, J / Mader, W / Marcellini, S / Marchant, T E / Martin, A J / Mashimo, T / Mättig, P / McKenna, J / McPherson, R A / Meijers, F / Menges, W / Merritt, F S / Mes, H / Meyer, N / Michelini, A / Mihara, S / Mikenberg, G / Miller, D J / Mohr, W / Mori, T / Mutter, A / Nagai, K / Nakamura, I / Nanjo, H / Neal, H A / O'Neale, S W / Oh, A / Okpara, A / Oreglia, M J / Orito, S / Pahl, C / Pásztor, G / Pater, J R / Pilcher, J E / Pinfold, J / Plane, D E / Pooth, O / Przybycień, M / Quadt, A / Rabbertz, K / Rembser, C / Renkel, P / Roney, J M / Rossi, A M / Rozen, Y / Runge, K / Sachs, K / Saeki, T / Sarkisyan, E K G / Schaile, A D / Schaile, O / Scharff-Hansen, P / Schieck, J / Schörner-Sadenius, T / Schröder, M / Schumacher, M / Seuster, R / Shears, T G / Shen, B C / Sherwood, P / Skuja, A / Smith, A M / Sobie, R / Söldner-Rembold, S / Spano, F / Stahl, A / Strom, D / Ströhmer, R / Tarem, S / Tasevsky, M / Teuscher, R / Thomson, M A / Torrence, E / Toya, D / Trigger, I / Trócsányi, Z / Tsur, E / Turner-Watson, M F / Ueda, I / Ujvári, B / Vollmer, C F / Vannerem, P / Vértesi, R / Verzocchi, M / Voss, H / Vossebeld, J / Ward, C P / Ward, D R / Watkins, P M / Watson, A T / Watson, N K / Wells, P S / Wengler, T / Wermes, N / Wilson, G W / Wilson, J A / Wolf, G / Wyatt, T R / Yamashita, S / Zer-Zion, D / Zivkovic, L

The European physical journal. C, Particles and fields

2012 Volume 72, Issue 7, Page(s) 2076

Abstract: A search is made for charged Higgs bosons predicted by Two-Higgs-Doublet extensions of the Standard Model (2HDM) using electron-positron collision data collected by the OPAL experiment at [Formula: see text], corresponding to an integrated luminosity of ... ...

Abstract	A search is made for charged Higgs bosons predicted by Two-Higgs-Doublet extensions of the Standard Model (2HDM) using electron-positron collision data collected by the OPAL experiment at [Formula: see text], corresponding to an integrated luminosity of approximately 600 pb
Language	English
Publishing date	2012-07-24
Publishing country	France
Document type	Journal Article
ZDB-ID	1459069-4
ISSN	1434-6052 ; 1434-6044
ISSN (online)	1434-6052
ISSN	1434-6044
DOI	10.1140/epjc/s10052-012-2076-0
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Article ; Online: Comparison of phenotypical antimicrobial resistance between clinical and non-clinical e. coli isolates from broilers, turkeys and calves in four european countries

Mesa-Varona, Octavio / Mader, Rodolphe / Velasova, Martina / Madec, Jean-Yves / Granier, Sophie A. / Perrin-Guyomard, Agnes / Norstrom, Madelaine / Kaspar, Heike / Grobbel, Mirjam / Jouy, Eric / Anjum, Muna F. / Tenhagen, Bernd-Alois

2021

Abstract: Livestock data on antimicrobial resistance (AMR) are commonly collected from bacterial populations of clinical and non-clinical isolates. In contrast to data on non-clinical isolates from livestock, data on clinical isolates are not harmonized in Europe. ...

Abstract	Livestock data on antimicrobial resistance (AMR) are commonly collected from bacterial populations of clinical and non-clinical isolates. In contrast to data on non-clinical isolates from livestock, data on clinical isolates are not harmonized in Europe. The Normalized Resistance Interpretation (NRI) method was applied to overcome the lack of harmonization of laboratory methods and interpretation rules between monitoring systems. Statistical analyses were performed to identify associations between the isolate type (clinical vs. non-clinical) and resistance to four antimicrobials (ampicillin, tetracycline, gentamicin, and nalidixic acid) per animal category in Germany and France. Additional statistical analyses comparing clinical and non-clinical isolates were performed with the available data on the same antimicrobial panel and animal categories from the UK and Norway. Higher resistance prevalence was found in clinical isolates compared to non-clinical isolates from calves to all antimicrobials included in Germany and France. It was also found for gentamicin in broilers from France. In contrast, in broilers and turkeys from Germany and France and in broilers from the UK, a higher resistance level to ampicillin and tetracycline in non-clinical isolates was encountered. This was also found in resistance to gentamicin in isolates from turkeys in Germany. Resistance differed within countries and across years, which was partially in line with differences in antimicrobial use patterns. Differences in AMR between clinical and non-clinical isolates of Escherichia coli are associated with animal category (broiler, calf, and turkey) and specific antimicrobials. The NRI method allowed comparing results of non-harmonized AMR systems and might be useful until international harmonization is achieved.
Keywords	Text ; ddc:610 ; ddc:570 ; AMR ; Broiler ; Calf ; Clinical isolates ; E. coli ; Non-clinical isolates ; Turkey
Subject code	610
Language	English
Publishing country	de
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Conference proceedings: Umstellung anderer Basalinsuline (BI) auf Glargin 300 E/ml (Gla-300) bei Patienten mit kontinuierlicher Glukosemessung (CGM) und unzureichend kontrolliertem Typ-1-Diabetes (T1D): Ergebnisse einer prospektiven, multinationalen Beobachtungsstudie (COMET-T)

Gölz, Stefan / Mader, Julia K. / Bilz, Stefan / Heinze, Daniel / Müller, Julia / Danne, Thomas

Diabetologie und Stoffwechsel

2023 Volume 18, Issue S 01

Event/congress	Diabetes Kongress 2023 - 57. Jahrestagung der DDG, CityCube Berlin, 2023-05-17
Language	German
Publishing date	2023-04-01
Publisher	Georg Thieme Verlag
Publishing place	Stuttgart ; New York
Document type	Article ; Conference proceedings
ZDB-ID	2222993-0
ISSN	1861-9010 ; 1861-9002
ISSN (online)	1861-9010
ISSN	1861-9002
DOI	10.1055/s-0043-1767952
Database	Thieme publisher's database

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Zs.A 6479: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG)
Zs.A 6479/X: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG)

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Book: E-Business

Janisch, Sonja / Mader, Peter

(Praxis-Rechtsskripten)

2011

Author's details	von Sonja Janisch; Peter Mader
Series title	Praxis-Rechtsskripten
Keywords	Recht ; Internet ; Electronic Commerce ; E-Business ; Online-Marketing ; Elektronisches Geld ; Datensicherheit ; IT-Recht ; Vertragsrecht ; Österreich
Language	German
Size	X, 142 S., Ill., graph. Darst., 30 cm
Edition	4. aktualisierte Aufl.
Publisher	LexisNexis-Verl
Publishing place	Wien
Document type	Book
ISBN	9783700740674 ; 3700740670
Database	ECONomics Information System

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Article: Atomistic level characterisation of ssDNA translocation through the E. coli proteins CsgG and CsgF for nanopore sequencing

Rattu, Punam / Glencross, Flo / Mader, Sophie L. / Skylaris, Chris-Kriton / Matthews, Stephen J. / Rouse, Sarah L. / Khalid, Syma

Computational and Structural Biotechnology Journal. 2021, v. 19

2021

Abstract: Two proteins of the Escherichia coli membrane protein complex, CsgG and CsgF, are studied as proteinaceous nanopores for DNA sequencing. It is highly desirable to control the DNA as it moves through the pores, this requires characterisation of DNA ... ...

Abstract	Two proteins of the Escherichia coli membrane protein complex, CsgG and CsgF, are studied as proteinaceous nanopores for DNA sequencing. It is highly desirable to control the DNA as it moves through the pores, this requires characterisation of DNA translocation and subsequent optimization of the pores. In order to inform protein engineering to improve the pores, we have conducted a series of molecular dynamics simulations to characterise the mechanical strength and conformational dynamics of CsgG and the CsgG-CsgF complex and how these impact ssDNA, water and ion movement. We find that the barrel of CsgG is more susceptible to damage from external electric fields compared to the protein vestibule. Furthermore, the presence of CsgF within the CsgG-CsgF complex enables the complex to withstand higher electric fields. We find that the eyelet loops of CsgG play a key role in both slowing the translocation rate of DNA and modulating the conductance of the pore. CsgF also impacts the DNA translocation rate, but to a lesser degree than CsgG.
Keywords	Escherichia coli ; biotechnology ; membrane proteins ; molecular dynamics ; nanopores ; strength (mechanics)
Language	English
Size	p. 6417-6430.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	2694435-2
ISSN	2001-0370
ISSN	2001-0370
DOI	10.1016/j.csbj.2021.11.014
Database	NAL-Catalogue (AGRICOLA)

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Article: Measurement of the decay B(-) ---> D(*0)e(-)nu[overline](e).

Aubert, B / Bona, M / Karyotakis, Y / Lees, J P / Poireau, V / Prudent, X / Tisserand, V / Zghiche, A / Tico, J Garra / Grauges, E / Lopez, L / Palano, A / Pappagallo, M / Eigen, G / Stugu, B / Sun, L / Abrams, G S / Battaglia, M / Brown, D N /

Button-Shafer, J / Cahn, R N / Jacobsen, R G / Kadyk, J A / Kerth, L T / Kolomensky, Yu G / Kukartsev, G / Lynch, G / Osipenkov, I L / Ronan, M T / Tackmann, K / Tanabe, T / Wenzel, W A / Del Amo Sanchez, P / Hawkes, C M / Soni, N / Watson, A T / Koch, H / Schroeder, T / Walker, D / Asgeirsson, D J / Cuhadar-Donszelmann, T / Fulsom, B G / Hearty, C / Mattison, T S / McKenna, J A / Barrett, M / Khan, A / Saleem, M / Teodorescu, L / Blinov, V E / Bukin, A D / Buzykaev, A R / Druzhinin, V P / Golubev, V B / Onuchin, A P / Serednyakov, S I / Skovpen, Yu I / Solodov, E P / Todyshev, K Yu / Bondioli, M / Curry, S / Eschrich, I / Kirkby, D / Lankford, A J / Lund, P / Mandelkern, M / Martin, E C / Stoker, D P / Abachi, S / Buchanan, C / Gary, J W / Liu, F / Long, O / Shen, B C / Vitug, G M / Zhang, L / Paar, H P / Rahatlou, S / Sharma, V / Campagnari, C / Hong, T M / Kovalskyi, D / Richman, J D / Beck, T W / Eisner, A M / Flacco, C J / Heusch, C A / Kroseberg, J / Lockman, W S / Schalk, T / Schumm, B A / Seiden, A / Wilson, M G / Winstrom, L O / Chen, E / Cheng, C H / Doll, D A / Echenard, B / Fang, F / Hitlin, D G / Narsky, I / Piatenko, T / Porter, F C / Andreassen, R / Mancinelli, G / Meadows, B T / Mishra, K / Sokoloff, M D / Blanc, F / Bloom, P C / Ford, W T / Hirschauer, J F / Kreisel, A / Nagel, M / Nauenberg, U / Olivas, A / Smith, J G / Ulmer, K A / Wagner, S R / Ayad, R / Gabareen, A M / Soffer, A / Toki, W H / Wilson, R J / Altenburg, D D / Feltresi, E / Hauke, A / Jasper, H / Merkel, J / Petzold, A / Spaan, B / Wacker, K / Klose, V / Kobel, M J / Lacker, H M / Mader, W F / Nogowski, R / Schubert, J / Schubert, K R / Schwierz, R / Sundermann, J E / Volk, A / Bernard, D / Bonneaud, G R / Latour, E / Lombardo, V / Thiebaux, Ch / Verderi, M / Clark, P J / Gradl, W / Playfer, S / Robertson, A I / Watson, J E / Andreotti, M / Bettoni, D / Bozzi, C / Calabrese, R / Cecchi, A / Cibinetto, G / Franchini, P / Luppi, E / Negrini, M / Petrella, A / Piemontese, L / Prencipe, E / Santoro, V / Anulli, F / Baldini-Ferroli, R / Calcaterra, A / de Sangro, R / Finocchiaro, G / Pacetti, S / Patteri, P / Peruzzi, I M / Piccolo, M / Rama, M / Zallo, A / Buzzo, A / Contri, R / Lo Vetere, M / Macri, M M / Monge, M R / Passaggio, S / Patrignani, C / Robutti, E / Santroni, A / Tosi, S / Chaisanguanthum, K S / Morii, M / Dubitzky, R S / Marks, J / Schenk, S / Uwer, U / Bard, D J / Dauncey, P D / Nash, J A / Vazquez, W Panduro / Tibbetts, M / Behera, P K / Chai, X / Charles, M J / Mallik, U / Cochran, J / Crawley, H B / Dong, L / Eyges, V / Meyer, W T / Prell, S / Rosenberg, E I / Rubin, A E / Gao, Y Y / Gritsan, A V / Guo, Z J / Lae, C K / Denig, A G / Fritsch, M / Schott, G / Arnaud, N / Béquilleux, J / D'Orazio, A / Davier, M / da Costa, J Firmino / Grosdidier, G / Höcker, A / Lepeltier, V / Le Diberder, F / Lutz, A M / Pruvot, S / Roudeau, P / Schune, M H / Serrano, J / Sordini, V / Stocchi, A / Wang, W F / Wormser, G / Lange, D J / Wright, D M / Bingham, I / Burke, J P / Chavez, C A / Fry, J R / Gabathuler, E / Gamet, R / Hutchcroft, D E / Payne, D J / Touramanis, C / Bevan, A J / George, K A / Di Lodovico, F / Sacco, R / Cowan, G / Flaecher, H U / Hopkins, D A / Paramesvaran, S / Salvatore, F / Wren, A C / Davis, C L / Barlow, N R / Barlow, R J / Chia, Y M / Edgar, C L / Lafferty, G D / West, T J / Yi, J I / Anderson, J / Chen, C / Jawahery, A / Roberts, D A / Simi, G / Tuggle, J M / Dallapiccola, C / Hertzbach, S S / Li, X / Moore, T B / Salvati, E / Saremi, S / Cowan, R / Dujmic, D / Fisher, P H / Koeneke, K / Sciolla, G / Spitznagel, M / Taylor, F / Yamamoto, R K / Zhao, M / McLachlin, S E / Patel, P M / Robertson, S H / Lazzaro, A / Palombo, F / Bauer, J M / Cremaldi, L / Eschenburg, V / Godang, R / Kroeger, R / Sanders, D A / Summers, D J / Zhao, H W / Brunet, S / Côté, D / Simard, M / Taras, P / Viaud, F B / Nicholson, H / De Nardo, G / Lista, L / Monorchio, D / Sciacca, C / Baak, M A / Raven, G / Snoek, H L / Jessop, C P / Knoepfel, K J / Losecco, J M / Benelli, G / Corwin, L A / Honscheid, K / Kagan, H / Kass, R / Morris, J P / Rahimi, A M / Regensburger, J J / Sekula, S J / Wong, Q K / Blount, N L / Brau, J / Frey, R / Igonkina, O / Kolb, J A / Lu, M / Rahmat, R / Sinev, N B / Strom, D / Strube, J / Torrence, E / Castelli, G / Gagliardi, N / Gaz, A / Margoni, M / Morandin, M / Pompili, A / Posocco, M / Rotondo, M / Simonetto, F / Stroili, R / Voci, C / Ben-Haim, E / Briand, H / Calderini, G / Chauveau, J / David, P / Del Buono, L / de la Vaissière, Ch / Hamon, O / Leruste, Ph / Malclès, J / Ocariz, J / Perez, A / Prendki, J / Gladney, L / Biasini, M / Covarelli, R / Manoni, E / Angelini, C / Batignani, G / Bettarini, S / Carpinelli, M / Cenci, R / Cervelli, A / Forti, F / Giorgi, M A / Lusiani, A / Marchiori, G / Mazur, M A / Morganti, M / Neri, N / Paoloni, E / Rizzo, G / Walsh, J J / Biesiada, J / Lau, Y P / Pegna, D Lopes / Lu, C / Olsen, J / Smith, A J S / Telnov, A V / Baracchini, E / Cavoto, G / Del Re, D / Di Marco, E / Faccini, R / Ferrarotto, F / Ferroni, F / Gaspero, M / Jackson, P D / Mazzoni, M A / Morganti, S / Piredda, G / Polci, F / Renga, F / Voena, C / Ebert, M / Hartmann, T / Schröder, H / Waldi, R / Adye, T / Franek, B / Olaiya, E O / Roethel, W / Wilson, F F / Emery, S / Escalier, M / Gaidot, A / Ganzhur, S F / de Monchenault, G Hamel / Kozanecki, W / Vasseur, G / Yèche, Ch / Zito, M / Chen, X R / Liu, H / Park, W / Purohit, M V / White, R M / Wilson, J R / Allen, M T / Aston, D / Bartoldus, R / Bechtle, P / Claus, R / Coleman, J P / Convery, M R / Dingfelder, J C / Dorfan, J / Dubois-Felsmann, G P / Dunwoodie, W / Field, R C / Glanzman, T / Gowdy, S J / Graham, M T / Grenier, P / Hast, C / Innes, W R / Kaminski, J / Kelsey, M H / Kim, H / Kim, P / Kocian, M L / Leith, D W G S / Li, S / Luitz, S / Luth, V / Lynch, H L / Macfarlane, D B / Marsiske, H / Messner, R / Muller, D R / Nelson, S / O'Grady, C P / Ofte, I / Perazzo, A / Perl, M / Ratcliff, B N / Roodman, A / Salnikov, A A / Schindler, R H / Schwiening, J / Snyder, A / Su, D / Sullivan, M K / Suzuki, K / Swain, S K / Thompson, J M / Va'vra, J / Wagner, A P / Weaver, M / Wisniewski, W J / Wittgen, M / Wright, D H / Wulsin, H W / Yarritu, A K / Yi, K / Young, C C / Ziegler, V / Burchat, P R / Edwards, A J / Majewski, S A / Miyashita, T S / Petersen, B A / Wilden, L / Ahmed, S / Alam, M S / Bula, R / Ernst, J A / Pan, B / Saeed, M A / Zain, S B / Spanier, S M / Wogsland, B J / Eckmann, R / Ritchie, J L / Ruland, A M / Schilling, C J / Schwitters, R F / Izen, J M / Lou, X C / Ye, S / Bianchi, F / Gamba, D / Pelliccioni, M / Bomben, M / Bosisio, L / Cartaro, C / Cossutti, F / Della Ricca, G / Lanceri, L / Vitale, L / Azzolini, V / Lopez-March, N / Martinez-Vidal, F / Milanes, D A / Oyanguren, A / Albert, J / Banerjee, Sw / Bhuyan, B / Hamano, K / Kowalewski, R / Nugent, I M / Roney, J M / Sobie, R J / Harrison, P F / Ilic, J / Latham, T E / Mohanty, G B / Band, H R / Chen, X / Dasu, S / Flood, K T / Hollar, J J / Kutter, P E / Pan, Y / Pierini, M / Prepost, R / Wu, S L / Neal, H

Physical review letters

2008 Volume 100, Issue 23, Page(s) 231803

Abstract: ... at the SLAC e(+)e(-) PEP-II storage rings, we reconstruct B(-) ---> D(*0)e(-)nu[overline](e) decays using ... 08, F(1)|V(cb)|=(35.9+/-0.6+/-1.4) x 10(-3), and B(B(-) --> D(*0)e(-)nu[overline](e))=(5.56+/-0.08+ ...

Abstract	Using 226 x 10(6) BB[overline] events recorded on the Upsilon(4S) resonance with the BABAR detector at the SLAC e(+)e(-) PEP-II storage rings, we reconstruct B(-) ---> D(0)e(-)nu[overline](e) decays using the decay chain D(0) --> D(0)pi(0) and D(0)-->K(-)pi(+). From the dependence of their differential rate on w, the dot product of the four velocities of B(-) and D(0), and using the form factor description by Caprini et al. with the parameters F(1) and rhoA(1)(2), we obtain the results rhoA(1)(2) = 1.16+/-0.06+/-0.08, F(1)\|V(cb)\|=(35.9+/-0.6+/-1.4) x 10(-3), and B(B(-) --> D(0)e(-)nu[overline](e))=(5.56+/-0.08+/-0.41)%.
Language	English
Publishing date	2008-06-13
Publishing country	United States
Document type	Journal Article
ZDB-ID	208853-8
ISSN	1079-7114 ; 0031-9007
ISSN (online)	1079-7114
ISSN	0031-9007
DOI	10.1103/PhysRevLett.100.231803
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Comparison of Phenotypical Antimicrobial Resistance between Clinical and Non-Clinical E. coli Isolates from Broilers, Turkeys and Calves in Four European Countries

Octavio Mesa-Varona / Rodolphe Mader / Martina Velasova / Jean-Yves Madec / Sophie A. Granier / Agnes Perrin-Guyomard / Madelaine Norstrom / Heike Kaspar / Mirjam Grobbel / Eric Jouy / Muna F. Anjum / Bernd-Alois Tenhagen

Microorganisms, Vol 9, Iss 678, p

2021 Volume 678

Abstract	Livestock data on antimicrobial resistance (AMR) are commonly collected from bacterial populations of clinical and non-clinical isolates. In contrast to data on non-clinical isolates from livestock, data on clinical isolates are not harmonized in Europe. The Normalized Resistance Interpretation (NRI) method was applied to overcome the lack of harmonization of laboratory methods and interpretation rules between monitoring systems. Statistical analyses were performed to identify associations between the isolate type (clinical vs. non-clinical) and resistance to four antimicrobials (ampicillin, tetracycline, gentamicin, and nalidixic acid) per animal category in Germany and France. Additional statistical analyses comparing clinical and non-clinical isolates were performed with the available data on the same antimicrobial panel and animal categories from the UK and Norway. Higher resistance prevalence was found in clinical isolates compared to non-clinical isolates from calves to all antimicrobials included in Germany and France. It was also found for gentamicin in broilers from France. In contrast, in broilers and turkeys from Germany and France and in broilers from the UK, a higher resistance level to ampicillin and tetracycline in non-clinical isolates was encountered. This was also found in resistance to gentamicin in isolates from turkeys in Germany. Resistance differed within countries and across years, which was partially in line with differences in antimicrobial use patterns. Differences in AMR between clinical and non-clinical isolates of Escherichia coli are associated with animal category (broiler, calf, and turkey) and specific antimicrobials. The NRI method allowed comparing results of non-harmonized AMR systems and might be useful until international harmonization is achieved.
Keywords	AMR ; clinical isolates ; non-clinical isolates ; broiler ; turkey ; calf ; Biology (General) ; QH301-705.5
Subject code	610
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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