Search results for "parameters"
showing 10 items of 13273 documents
CCDC 1825460: Experimental Crystal Structure Determination
2018
Related Article: Quentin Bonnin, Sook-Yen Wong, Cedric Balan, Virginie Comte, Raluca Malacea, Marie-Jose Penouilh, Philippe Richard, Gerald Kehr, Adrien T. Normand, Gerhard Erker, Pierre Le Gendre|2018|Eur.J.Inorg.Chem.|2018|3813|doi:10.1002/ejic.201800636
CCDC 1825461: Experimental Crystal Structure Determination
2018
Related Article: Quentin Bonnin, Sook-Yen Wong, Cedric Balan, Virginie Comte, Raluca Malacea, Marie-Jose Penouilh, Philippe Richard, Gerald Kehr, Adrien T. Normand, Gerhard Erker, Pierre Le Gendre|2018|Eur.J.Inorg.Chem.|2018|3813|doi:10.1002/ejic.201800636
CCDC 1882073: Experimental Crystal Structure Determination
2019
Related Article: Sebastian B. Beil, Peter Franzmann, Timo Müller, Maximilian M. Hielscher, Tobias Prenzel, Dennis Pollok, Nicole Beiser, Dieter Schollmeyer, Siegfried R. Waldvogel|2018|Electrochimica Acta|302|310|doi:10.1016/j.electacta.2019.02.041
CCDC 2153375: Experimental Crystal Structure Determination
2022
Related Article: María Vicent-Morales, María Esteve-Rochina, Joaquín Calbo, Enrique Ortí, Iñigo J. Vitórica-Yrezábal, Guillermo Mínguez Espallargas|2022|J.Am.Chem.Soc.|144|9074|doi:10.1021/jacs.2c01957
CCDC 782553: Experimental Crystal Structure Determination
2016
Related Article: Hélène Bertrand, Anton Granzhan, David Monchaud, Nicolas Saettel, Régis Guillot, Sarah Clifford, Aurore Guédin, Jean-Louis Mergny, Marie-Paule Teulade-Fichou|2011|Chem.-Eur.J.|17|4529|doi:10.1002/chem.201002810
CCDC 1434832: Experimental Crystal Structure Determination
2017
Related Article: A. Chernenkaya, A. Morherr, S. Backes, W. Popp, S. Witt, X. Kozina, S. A. Nepijko, M. Bolte, K. Medjanik, G. Öhrwall, C. Krellner, M. Baumgarten, H. J. Elmers, G. Schönhense, H. O. Jeschke, R. Valentí|2016|J.Chem.Phys.|145|034702|doi:10.1063/1.4958659
CCDC 1942682: Experimental Crystal Structure Determination
2019
Related Article: Xiting Yuan, Cunfa Sun, Xihua Li, Sami Malola, Boon K. Teo, Hannu Häkkinen, Lan-Sun Zheng, Nanfeng Zheng|2019|J.Am.Chem.Soc.|141|11905|doi:10.1021/jacs.9b03009
Minimal information for studies of extracellular vesicles 2018 (MISEV2018):a position statement of the International Society for Extracellular Vesicl…
2018
The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles ("MISEV") guidelines fo…
Demographic characterization and genetic variability of the Girgentana goat breed by the analysis of genealogical data
2004
The aim of this paper is to present an overview of the actual Sicilian Girgentana population structure by the analysis ofgenealogical data. Statistics show that in 1983 the population consisted of 30,000 Girgentana goats; ten years lateralmost 98% of the entire Girgentana population disappeared. The remaining population consists of 461 individuals (134males and 327 females), with 368 living animals. The effective population size is 380 individuals. The inbreeding rate pergeneration was equal to 0.13%. The average estimated inbreeding level within the living male population was equal to0.8% (0-15%); and the average inbreeding level within the living female population was equal to 0.7% (0-31%…
Mixis strategies and resting eeg production of rotifers living in temporally-varying habitats
1993
A dynamic model based on six differential equations has been developed to explore the control of mixis of rotifers living in temporally-varying habitats. The equations give variation rates of amictic females, three stages of mictic females, males and resting eggs. The model takes into account some constraints on mixis (e.g., male-female encounter probability and effort involved in resting egg production) and its predictions have been generated by computer simulation using parameter values from the literature. For simulation, a time-dependent birth rate function was assumed to account for changes in the environment, and several mixis patterns (i.e., moment of mixis induction and mictic rate …