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  1. Article ; Online: (R)-[

    Berroterán-Infante, Neydher / Kalina, Thomas / Fetty, Lukas / Janisch, Victoria / Velasco, Ramona / Vraka, Chrysoula / Hacker, Marcus / Haug, Alexander R / Pallitsch, Katharina / Wadsak, Wolfgang / Mitterhauser, Markus

    European journal of medicinal chemistry

    2019  Volume 176, Page(s) 410–418

    Abstract: ... of the established TSPO PET tracer (R)-[ ...

    Abstract Positron emission tomography (PET) imaging of the 18 kDa translocator protein (TSPO), has a high diagnostic potential in neurodegenerative disorders and cancer. However, TSPO is considered a challenge for molecular imaging due to the poor availability of suitable radiotracers with adequate pharmacokinetic properties. Here, we describe the development of a radiofluorinated pyridinyl isoquinoline analogue of the established TSPO PET tracer (R)-[
    MeSH term(s) Animals ; Female ; Fluorine Radioisotopes/chemistry ; Humans ; Isoquinolines/chemical synthesis ; Isoquinolines/chemistry ; Isoquinolines/metabolism ; Isoquinolines/pharmacokinetics ; Isotope Labeling ; Mice, Inbred C57BL ; Microsomes, Liver/metabolism ; Positron-Emission Tomography/methods ; Pyridines/chemical synthesis ; Pyridines/chemistry ; Pyridines/metabolism ; Pyridines/pharmacokinetics ; Radiopharmaceuticals/chemical synthesis ; Radiopharmaceuticals/chemistry ; Radiopharmaceuticals/metabolism ; Radiopharmaceuticals/pharmacokinetics ; Receptors, GABA/metabolism ; Tissue Distribution
    Chemical Substances Bzrp protein, mouse ; Fluorine Radioisotopes ; Isoquinolines ; Pyridines ; Radiopharmaceuticals ; Receptors, GABA ; Fluorine-18 (GZ5I74KB8G)
    Language English
    Publishing date 2019-05-10
    Publishing country France
    Document type Journal Article
    ZDB-ID 188597-2
    ISSN 1768-3254 ; 0009-4374 ; 0223-5234
    ISSN (online) 1768-3254
    ISSN 0009-4374 ; 0223-5234
    DOI 10.1016/j.ejmech.2019.05.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: R

    Zini, Elena / Dolzani, Chiara / Stefanini, Marco / Gratl, Verena / Bettinelli, Paola / Nicolini, Daniela / Betta, Giulia / Dorigatti, Cinzia / Velasco, Riccardo / Letschka, Thomas / Vezzulli, Silvia

    International journal of molecular sciences

    2019  Volume 20, Issue 14

    Abstract: For the viticulture of the future, it will be an essential prerequisite to manage grapevine diseases with fewer chemical inputs. The development and the deployment of novel mildew resistant varieties are considered one of the most promising strategies ... ...

    Abstract For the viticulture of the future, it will be an essential prerequisite to manage grapevine diseases with fewer chemical inputs. The development and the deployment of novel mildew resistant varieties are considered one of the most promising strategies towards a sustainable viticulture. In this regard, a collection of 102 accessions derived from crossing
    MeSH term(s) Ascomycota/genetics ; Ascomycota/pathogenicity ; Chromosome Mapping ; Disease Resistance/genetics ; Plant Diseases/microbiology ; Plant Proteins/genetics ; Plant Proteins/metabolism ; Quantitative Trait Loci/genetics ; Vitis/metabolism ; Vitis/microbiology
    Chemical Substances Plant Proteins
    Language English
    Publishing date 2019-07-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms20143526
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: R

    Vladimirov Victor / Pazdro Marcin / Simoner Thomas / Bica Ioan

    Present Environment and Sustainable Development, Vol 11, Iss 2, Pp 49-

    2017  Volume 62

    Abstract: ... shaft, cc-GRP Shaft and 1km cc-GRP Pipe-system). The study equally provides an insight onto R&D and LCA ... from the suppliers instead of generic data. The paper indicates how LCA tools and established R&D processes can be ...

    Abstract In today’s economy increased attention is given towards re-using of available resources and using of resources which are re-generable, to evaluate and reduce the impact on the environment. For the polymer industry, the development of alternative and renewable raw materials represents an essential task. The study evaluates the different choices of unsaturated polyester resins (UPR) for production of centrifugally-cast glass reinforced pipe (cc-GRP) systems. The environmental impacts of three types of resin were evaluated and compared. The resins are: UPR standard, UPR containing recycled PET material (rPET-UPR) and UPR containing bio-sourced material (BIO-UPR). The analysis focuses on comparing the variations in environmental indicators caused by resin selection for three increasingly complex product layers (Base plate of cc-GRP shaft, cc-GRP Shaft and 1km cc-GRP Pipe-system). The study equally provides an insight onto R&D and LCA collaboration across the supply-chain. One of the main challenges in LCA today is using specific data from the suppliers instead of generic data. The paper indicates how LCA tools and established R&D processes can be employed to transfer LCA calculations across the supply-chain. BIO-UPR and rPET-UPR are alternatives which are realistic in terms of costs and which ensure the required quality for the manufactured products. rPET-UPR can be used for production of complete pipe systems, with positive environmental indicators. Mechanical proprieties of BIO-UPR restrict its usability and use of this resin presents similarities with the debate regarding use of bio-diesel.
    Keywords GRP ; polyester resins ; recycling ; BIO ; PET ; pipe systems ; Environmental sciences ; GE1-350
    Subject code 660
    Language English
    Publishing date 2017-10-01T00:00:00Z
    Publisher Alexandru Ioan Cuza University Press, Iasi, Romania
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Hyperparameter Tuning for Machine and Deep Learning with R

    Bartz, Eva / Bartz-Beielstein, Thomas / Zaefferer, Martin / Mersmann, Olaf

    A Practical Guide

    2023  

    Author's details edited by Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann
    Keywords Artificial intelligence ; Machine learning ; Mathematical physics ; Computer simulation ; Computational intelligence
    Subject code 006.3
    Language English
    Size 1 Online-Ressource (XVII, 323 p. 84 illus., 60 illus. in color)
    Edition 1st ed. 2023
    Publisher Springer Nature Singapore ; Imprint: Springer
    Publishing place Singapore
    Document type Book ; Online
    HBZ-ID HT021682206
    ISBN 978-981-19-5170-1 ; 9789811951695 ; 9789811951718 ; 9789811951725 ; 981-19-5170-5 ; 9811951691 ; 9811951713 ; 9811951721
    DOI 10.1007/978-981-19-5170-1
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book ; Online: Hyperparameter Tuning for Machine and Deep Learning with R

    Bartz, Eva / Bartz-Beielstein, Thomas / Zaefferer, Martin / Mersmann, Olaf

    A Practical Guide

    2023  

    Keywords Artificial intelligence ; Machine learning ; Mathematical & statistical software ; Mathematical physics ; Hyperparameter Tuning ; Hyperparameters ; Tuning ; Deep Neural Networks ; Reinforcement Learning ; Machine Learning
    Language English
    Size 1 electronic resource (323 pages)
    Publisher Springer Nature
    Publishing place Singapore
    Document type Book ; Online
    Note English
    HBZ-ID HT030379430
    ISBN 9789811951701 ; 9811951705
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Book ; Online ; E-Book: Using R for biostatistics

    MacFarland, Thomas W. / Yates, Jan M.

    2021  

    Abstract: This book introduces the open source R software language that can be implemented in biostatistics ... 2014 work Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, the R user ... community has grown exponentially and the R language has increased in maturity and functionality ...

    Author's details Thomas W. MacFarland, Jan M. Yates
    Abstract This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation. In the years since the authors’ 2014 work Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, the R user community has grown exponentially and the R language has increased in maturity and functionality. This updated volume expands upon skill-sets useful for students and practitioners in the biological sciences by describing how to work with data in an efficient manner, how to engage in meaningful statistical analyses from multiple perspectives, and how to generate high-quality graphics for professional publication of their research. A common theme for research in the diverse biological sciences is that decision-making depends on the empirical use of data. Beginning with a focus on data from a parametric perspective, the authors address topics such as Student t-Tests for independent samples and matched pairs; oneway and twoway analyses of variance; and correlation and linear regression. The authors also demonstrate the importance of a nonparametric perspective for quality assurance through chapters on the Mann-Whitney U Test, Wilcoxon Matched-Pairs Signed-Ranks test, Kruskal-Wallis H-Test for Oneway Analysis of Variance, and the Friedman Twoway Analysis of Variance. To address the element of data presentation, the book also provides an extensive review of the many graphical functions available with R. There are now perhaps more than 15,000 external packages available to the R community. The authors place special emphasis on graphics using the lattice package and the ggplot2 package, as well as less common, but equally useful, figures such as bean plots, strip charts, and violin plots. A robust package of supplementary material, as well as an introduction of the development of both R and the discipline of biostatistics, makes this ideal for novice learners as well as more experienced practitioners.
    Keywords Biometry/Data processing ; R (Computer program language) ; Biometria ; Processament de dades ; R (Llenguatge de programació)
    Subject code 570.15195
    Language English
    Size 1 online resource (XXXV, 902 p. 300 illus., 265 illus. in color.)
    Edition 1st ed. 2021.
    Publisher Springer
    Publishing place Cham, Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-62404-8 ; 3-030-62403-X ; 978-3-030-62404-0 ; 978-3-030-62403-3
    DOI 10.1007/978-3-030-62404-0
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  7. Article ; Online: Matched control analysis suggests R-CHOP followed by (R)-ICE may improve outcome in non-GCB DLBCL compared to R-CHOP.

    Bantilan, Kurt S / Smith, Alexandra N / Maurer, Matthew John / Teruya-Feldstein, Julie / Matasar, Matthew J / Moskowitz, Alison J / Straus, David J / Noy, Ariela / Palomba, M Lia / Horwitz, Steven M / Hamlin, Paul A / Portlock, Carol S / Cerhan, James R / Habermann, Thomas M / Salles, Gilles A / Nowakowski, Grzegorz S / Moskowitz, Craig H / Zelenetz, Andrew D

    Blood advances

    2024  

    Abstract: Rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) is considered ... Center (MSK), 151 patients with DLBCL received sequential R-CHOP induction and (R)-ICE (rituximab ... with a propensity score matched cohort treated with R-CHOP from the Mayo Clinic component of the Molecular Epidemiology ...

    Abstract Rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) is considered the standard-of-care for patients with advanced-stage diffuse large B-cell lymphoma (DLBCL), despite findings that non-germinal center B-cell-like (non-GCB) patients have significantly worse outcome with this regimen. We evaluated the prognostic significance of baseline risk factors, including cell of origin (COO) classified by the Hans algorithm, within an alternative chemoimmunotherapy program. At Memorial Sloan Kettering Cancer Center (MSK), 151 patients with DLBCL received sequential R-CHOP induction and (R)-ICE (rituximab, ifosfamide, carboplatin, and etoposide) consolidation. Outcome analysis based on COO was validated with a propensity score matched cohort treated with R-CHOP from the Mayo Clinic component of the Molecular Epidemiology Resource (MER). Among the GCB (n=69) and non-GCB (n=69) patients at MSK, event-free survival (EFS) of non-GCB was superior to that of GCB (HR 0.53, 95% CI 0.29-0.98). Overall survival (OS) demonstrated an association in the same direction but was not statistically significant (HR 0.68, 95% CI 0.33-1.42). Propensity score matched patients from MSK (n=108) demonstrated a small attenuation in the HRs for EFS (HR 0.57, 95% CI 0.27-1.18) and OS (HR 0.76, 95% CI 0.33-1.79) and were no longer statistically significant. In contrast, the matched MER cohort (n=108) demonstrated an EFS association (HR 1.17, 95% CI 0.70-1.95) and OS association (HR 1.13, 95% CI 0.64-2.00) in the opposite direction, but were also not statistically significant. R-CHOP induction and (R)-ICE consolidation may overcome the negative prognostic impact of the non-GCB phenotype, per the Hans algorithm, and can be preferentially selected for this population.
    Language English
    Publishing date 2024-01-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2915908-8
    ISSN 2473-9537 ; 2473-9529
    ISSN (online) 2473-9537
    ISSN 2473-9529
    DOI 10.1182/bloodadvances.2023011408
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Measurement of the Ratios of Branching Fractions R(D^{*}) and R(D^{0}).

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

    Physical review letters

    2023  Volume 131, Issue 11, Page(s) 111802

    Abstract: The ratios of branching fractions R(D^{*})≡B(B[over ¯]→D^{*}τ^{-}ν[over ¯]_{τ})/B(B[over ¯]→D^{*}μ^ ... ν[over ¯]_{μ}) and R(D^{0})≡B(B^{-}→D^{0}τ^{-}ν[over ¯]_{τ})/B(B^{-}→D^{0}μ^{-}ν[over ¯]_{μ}) are ... is identified in the decay mode τ^{-}→μ^{-}ν_{τ}ν[over ¯]_{μ}. The measured values are R(D^{*})=0 ...

    Abstract The ratios of branching fractions R(D^{*})≡B(B[over ¯]→D^{*}τ^{-}ν[over ¯]_{τ})/B(B[over ¯]→D^{*}μ^{-}ν[over ¯]_{μ}) and R(D^{0})≡B(B^{-}→D^{0}τ^{-}ν[over ¯]_{τ})/B(B^{-}→D^{0}μ^{-}ν[over ¯]_{μ}) are measured, assuming isospin symmetry, using a sample of proton-proton collision data corresponding to 3.0  fb^{-1} of integrated luminosity recorded by the LHCb experiment during 2011 and 2012. The tau lepton is identified in the decay mode τ^{-}→μ^{-}ν_{τ}ν[over ¯]_{μ}. The measured values are R(D^{*})=0.281±0.018±0.024 and R(D^{0})=0.441±0.060±0.066, where the first uncertainty is statistical and the second is systematic. The correlation between these measurements is ρ=-0.43. The results are consistent with the current average of these quantities and are at a combined 1.9 standard deviations from the predictions based on lepton flavor universality in the standard model.
    Language English
    Publishing date 2023-09-29
    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.131.111802
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Optimization of the r

    Gasevic, Thomas / Stückrath, Julius B / Grimme, Stefan / Bursch, Markus

    The journal of physical chemistry. A

    2022  Volume 126, Issue 23, Page(s) 3826–3838

    Abstract: The "Swiss army knife" composite density functional electronic-structure method r ...

    Abstract The "Swiss army knife" composite density functional electronic-structure method r
    Language English
    Publishing date 2022-06-02
    Publishing country United States
    Document type Journal Article
    ISSN 1520-5215
    ISSN (online) 1520-5215
    DOI 10.1021/acs.jpca.2c02951
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online ; E-Book: Application of project management principles to the management of pharmaceutical r&d projects

    Catalano, Thomas

    (SpringerBriefs in Pharmaceutical Science & Drug Development,)

    2020  

    Abstract: ... of Pharmaceutical R&D Projects is presented as a paper-based system for completing all the critical activities ...

    Author's details Thomas Catalano
    Series title SpringerBriefs in Pharmaceutical Science & Drug Development,
    Abstract Dr. Catalano for the last ten years has been consulting for the pharmaceutical industry. During his consulting he discovered that small businesses such as, generic, startups, and virtual companies do not have the budget or the resources to apply the computer software utilized in project management and therefore do not apply project management principles in their business model. This reduces their effectiveness and increases their operating cost. Application of Project Management Principles to the Management of Pharmaceutical R&D Projects is presented as a paper-based system for completing all the critical activities needed apply the project management system. This will allow these small business to take advantage of the project management principles and gain all the advantages of the system. This book will be beneficial for beginners to understand the concepts of project management and for small pharmaceutical companies to apply the principles of project management to their business model.
    Keywords Pharmaceutical technology ; Pharmacology ; Medicine
    Subject code 615.19
    Language English
    Size 1 online resource (XV, 70 p. 29 illus., 10 illus. in color.)
    Edition 1st ed. 2020.
    Publisher Springer
    Publishing place Cham, Switzerland
    Document type Book ; Online ; E-Book
    Note Includes index.
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-57527-6 ; 3-030-57526-8 ; 978-3-030-57527-4 ; 978-3-030-57526-7
    DOI 10.1007/978-3-030-57527-4
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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