2,127 research outputs found
Reihe Rezeptionsforschung
Ab 2009 erschienen in: Baden-Baden : Nomos
(Hrsg.:) 04/2007 - 03/2011: Carsten Wünsch, Holger Schramm, Helena Bilandzic, Volker Gehrau; 04/2011-03/2015: Tilo Hartmann, Marco Dohle, Carsten Wünsch, Holger Schram
Modernization Losers’ Revenge? Income Mobility and Support for Right- and Left-Wing Populist Parties in Germany
Replication Data for: Are Sleepy Punishers Really Harsh Punishers?: Comment
This data set contains data (USSCdata.dta) and a script (Spamann_comment_Cho_dataanalysis.do) to recreate models 2,3, 5, and 6 of table 1 in Holger Spamann, Are Sleepy Punishers Really Harsh Punishers?: Comment, Psychological Science (forthcoming 2017). It also contains the raw data from the USSC (opafy92nid.dta through opafy03nid.dta), the USSC's codebooks explaining those data, and a second script (Spamann_comment_Cho_dataassembly_forweb.do) that generates USSCdata.dta from this raw data.
The data and scripts are written for Stata (version 14). The analysis script calls user-written packages estout and reghdfe.
Note that the scripts build and analyze ALL data mentioned in my article (i.e., not only models 2, 3, 5, and 6). The other data are available from: (a) TRAC data: by emailing [email protected] (TRAC will provide the data only to researchers affiliated with subscriber institutions); (b) Cho et al.’s original data: from the lead author of the original article, Kyoungmin Cho (I do not have permission to share their data).
If you do not have access to the other data or want to restrict your work to the USSC data, you should comment out the parts of the script concerning other data.
More information on running the scripts is contained in their first lines
Replication Data for: Are Sleepy Punishers Really Harsh Punishers?: Comment
This data set contains data (USSCdata.dta) and a script (Spamann_comment_Cho_dataanalysis.do) to recreate models 2,3, 5, and 6 of table 1 in Holger Spamann, Are Sleepy Punishers Really Harsh Punishers?: Comment, Psychological Science (forthcoming 2017). It also contains the raw data from the USSC (opafy92nid.dta through opafy03nid.dta), the USSC's codebooks explaining those data, and a second script (Spamann_comment_Cho_dataassembly_forweb.do) that generates USSCdata.dta from this raw data.
The data and scripts are written for Stata (version 14). The analysis script calls user-written packages estout and reghdfe.
Note that the scripts build and analyze ALL data mentioned in my article (i.e., not only models 2, 3, 5, and 6). The other data are available from: (a) TRAC data: by emailing [email protected] (TRAC will provide the data only to researchers affiliated with subscriber institutions); (b) Cho et al.’s original data: from the lead author of the original article, Kyoungmin Cho (I do not have permission to share their data).
If you do not have access to the other data or want to restrict your work to the USSC data, you should comment out the parts of the script concerning other data.
More information on running the scripts is contained in their first lines
Re: Svetlana Avulova, John C. Cheville, Christine M. Lohse, et al. Grading Chromophobe Renal Cell Carcinoma: Evidence for a Four-tiered Classification Incorporating Coagulative Tumor Necrosis. Eur Urol 2021;79:225-31: Two-, Three-, or Four-tiered Grading of Chromophobe Renal Cancer: That's the Question!
No abstract availabl
Lern- und Innovationsfähigkeit von Unternehmen und Organisationen
LERN- UND INNOVATIONSFÄHIGKEIT VON UNTERNEHMEN UND ORGANISATIONEN
Lern- und Innovationsfähigkeit von Unternehmen und Organisationen / Hartmann, Dorothea M. (Rights reserved) (-
The MOF-containing NSL complex associates globally with housekeeping genes, but activates only a defined subset.
The MOF (males absent on the first)-containing NSL (non-specific lethal) complex binds to a subset of active promoters in Drosophila melanogaster and is thought to contribute to proper gene expression. The determinants that target NSL to specific promoters and the circumstances in which the complex engages in regulating transcription are currently unknown. Here, we show that the NSL complex primarily targets active promoters and in particular housekeeping genes, at which it colocalizes with the chromatin remodeler NURF (nucleosome remodeling factor) and the histone methyltransferase Trithorax. However, only a subset of housekeeping genes associated with NSL are actually activated by it. Our analyses reveal that these NSL-activated promoters are depleted of certain insulator binding proteins and are enriched for the core promoter motif ‘Ohler 5’. Based on these results, it is possible to predict whether the NSL complex is likely to regulate a particular promoter. We conclude that the regulatory capacity of the NSL complex is highly context-dependent. Activation by the NSL complex requires a particular promoter architecture defined by combinations of chromatin regulators and core promoter motifs
Ideas and perspectives: Allocation of carbon from net primary production in models is inconsistent with observations of the age of respired carbon
Carbon allocation in vegetation is an important process in the terrestrial carbon cycle; it determines the fate of photoassimilates, and it has an impact on the time carbon spends in the terrestrial biosphere. Although previous studies have highlighted important conceptual issues in the definition and metrics used to assess carbon allocation, very little emphasis has been placed on the distinction between the allocation of carbon from gross primary production (GPP) and the allocation from net primary production (NPP). An important number of simulation models and conceptual frameworks are based on the concept that C is allocated from NPP, which implies that C is respired immediately after photosynthetic assimilation However, empirical work that estimates the age of respired CO2 from vegetation tissue (foliage, stems, roots) shows that it may take from years to decades to respire previously produced photosynthates. The transit time distribution of carbon in vegetation and ecosystems, a metric that provides an estimate of the age of respired carbon, indicates that vegetation pools respire carbon of a wide range of ages, on timescales that are in conflict with the assumption that autotrophic respiration only consumes recently fixed carbon. In this contribution, we attempt to provide compelling evidence based on recent research on the age of respired carbon and the theory of timescales of carbon in ecosystems, with the aim to promote a change in the predominant paradigm implemented in ecosystem models where carbon allocation is based on NPP. In addition, we highlight some implications for understanding and modeling carbon dynamics in terrestrial ecosystems
Design and Analysis of Rotary Positive Displacement Mechanism for Oil-Less Compression
Author(s): Holger Roser University of Technology Sydney, Sydney, NSW, Australia In this paper, a simple positive displacement mechanism is investigated, which comprises two counter-rotating meshing rotors within a casing. Although considered for various applications more than a century ago, the basic geometry of this mechanism has not been further explored or adapted to modern gas compressor technology
Iron overload impairs proliferation of erythroid progenitors cells (BFU-E) from patients with myelodysplastic syndromes
AbstractIn patients with myelodysplastic syndromes (MDS) iron overload caused by long-term red blood cell transfusions is an important factor for comorbidity especially in low-risk MDS. In this report we present the results of a comparative study based on colony formation assays of hematopoietic cells in MDS patients with and without iron overload. We demonstrate that iron overload suppresses the proliferation of erythroid progenitors cells (BFU-E), while the myeloid compartment (CFU-GM) was not found to be affected. Even patients with slightly elevated ferritin values show an impaired proliferation capacity in comparison to patients with normal ferritin levels. Furthermore, we show that this negative impact is reversible by sufficient iron chelation therapy
- …
