نتایج جستجو برای: demons

تعداد نتایج: 864  

Journal: :Svensk exegetisk årsbok 2023

N/A

Journal: :Redescriptions: Political Thought, Conceptual History and Feminist Theory 2008

Journal: :Journal of Ancient Near Eastern Religions 2023

Abstract The article deals with a commentary on the Akkadian composition Marduk’s Address to Demons from city of Assur. first part discusses unique religious view found in and its commentary, which āšipu priest is identified god Marduk. second presents new philological edition commentary.

Journal: :La lettre du Collège de France 2015

Journal: :Technology in Cancer Research & Treatment 2013

Journal: :Biophysical journal 2008
Longhua Hu Alexander Y Grosberg Robijn Bruinsma

Transcription factor (TF) proteins rapidly locate unique target sites on long genomic DNA molecules--and bind to them--during gene regulation. The search mechanism is known to involve a combination of three-dimensional diffusion through the bulk of the cell and one-dimensional sliding diffusion along the DNA. It is believed that the surprisingly high target binding rates of TF proteins relies o...

2005
Carol Taylor

In this paper we discus Information Assurance (IA) curri level IA programs. Existing IA sta professional training as opposed t general enough for typical underg present curriculum development e existing standards, which demons these standards. We propose a pro standardized IA curriculum that c college IA programs. The process IA model is based on a successful from MIT.

2013
Raj Varadhan Grigorios Karangelis Karthik Krishnan Susanta Hui

Quantitative validation of deformable image registration (DIR) algorithms is extremely difficult because of the complexity involved in constructing a deformable phantom that can duplicate various clinical scenarios. The purpose of this study is to describe a framework to test the accuracy of DIR based on computational modeling and evaluating using inverse consistency and other methods. Three cl...

2018
Imad Ali Nesreen Alsbou Justin Jaskowiak Salahuddin Ahmad

The goal of this project is to investigate quantitatively the performance of different deformable image registration algorithms (DIR) with helical (HCT), axial (ACT), and cone-beam CT (CBCT). The variations in the CT-number values and lengths of well-known targets moving with controlled motion were evaluated. Four DIR algorithms: Demons, Fast-Demons, Horn-Schunck and Lucas-Kanade were used to r...

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