Improving the Manageability of Enterprise Topologies Through Segmentation, Graph Transformation, and Analysis Strategies

2012 ◽  
Author(s):  
Tobias Binz ◽  
Frank Leymann ◽  
Alexander Nowak ◽  
David Schumm
Keyword(s):  
Graph Transformation ◽  
Analysis Strategies

Differential Drug Target Selection in Blood Coagulation: What can we get from Computational Systems Biology Models?

2020 ◽  
Vol 26 (18) ◽  
pp. 2109-2115 ◽  
Author(s):  
Mikhail A. Panteleev ◽  
Anna A. Andreeva ◽  
Alexey I. Lobanov
Keyword(s):  
Blood Coagulation ◽  
Biological Network ◽  
Target Selection ◽  
Anticoagulation Therapy ◽  
Differential Regulation ◽  
Coagulation Cascade ◽  
Computational Systems Biology ◽  
Analysis Strategies ◽  
Optimal Target ◽  
Computational Systems

Discovery and selection of the potential targets are some of the important issues in pharmacology. Even when all the reactions and the proteins in a biological network are known, how does one choose the optimal target? Here, we review and discuss the application of the computational methods to address this problem using the blood coagulation cascade as an example. The problem of correct antithrombotic targeting is critical for this system because, although several anticoagulants are currently available, all of them are associated with bleeding risks. The advantages and the drawbacks of different sensitivity analysis strategies are considered, focusing on the approaches that emphasize: 1) the functional modularity and the multi-tasking nature of this biological network; and 2) the need to normalize hemostasis during the anticoagulation therapy rather than completely suppress it. To illustrate this effect, we show the possibility of the differential regulation of lag time and endogenous thrombin potential in the thrombin generation. These methods allow to identify the elements in the blood coagulation cascade that may serve as the targets for the differential regulation of this system.

scholarly journals A modular graph transformation rule set for IFC‐to‐CityGML conversion

2021 ◽  
Vol 25 (1) ◽  
pp. 261-290
Author(s):  
Helga Tauscher ◽  
Joie Lim ◽  
Rudi Stouffs
Keyword(s):  
Graph Transformation ◽  
Transformation Rule ◽  
Rule Set ◽  
Graph Transformation Rule

scholarly journals Predictors of Successful Reading Comprehension in Bilingual Adults: The Role of Reading Strategies and Language Proficiency

Languages ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 18
Author(s):  
Deanna C. Friesen ◽  
Bailey Frid
Keyword(s):  
Reading Comprehension ◽  
Language Proficiency ◽  
Text Analysis ◽  
Reading Strategies ◽  
Background Knowledge ◽  
Strategy Use ◽  
Dominant Language ◽  
Analysis Strategies

The current study investigated the type of strategies that English–French bilingual adults utilize when reading in their dominant and non-dominant languages and which of these strategies are associated with reading comprehension success. Thirty-nine participants read short texts while reporting aloud what they were thinking as they read. Following each passage, readers answered three comprehension questions. Questions either required information found directly in the text (literal question) or required a necessary inference or an elaborative inference. Readers reported more necessary and elaborative inferences and referred to more background knowledge in their dominant language than in their non-dominant language. Engaging in both text analysis strategies and meaning extraction strategies predicted reading comprehension success in both languages, with differences observed depending on the type of question posed. Results are discussed with respect to how strategy use supports the development of text representations.

scholarly journals Image-Guided Human Reconstruction via Multi-Scale Graph Transformation Networks

2021 ◽  
pp. 1-1
Author(s):  
Kun Li ◽  
Hao Wen ◽  
Qiao Feng ◽  
Yuxiang Zhang ◽  
Xiongzheng Lia ◽  
...  
Keyword(s):  
Graph Transformation ◽  
Multi Scale ◽  
Image Guided
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