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Showing 25 to 36 of 1077 entries
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Application of cellular automata approach for cloud simulation and rendering.

Chaos (Woodbury, N.Y.)

Christopher Immanuel W, Paul Mary Deborrah S, Samuel Selvaraj R.
PMID: 24697387
Chaos. 2014 Mar;24(1):013125. doi: 10.1063/1.4866854.

Current techniques for creating clouds in games and other real time applications produce static, homogenous clouds. These clouds, while viable for real time applications, do not exhibit an organic feel that clouds in nature exhibit. These clouds, when viewed...

Robustness of a network formed by n interdependent networks with a one-to-one correspondence of dependent nodes.

Physical review. E, Statistical, nonlinear, and soft matter physics

Gao J, Buldyrev SV, Havlin S, Stanley HE.
PMID: 23005189
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jun;85(6):066134. doi: 10.1103/PhysRevE.85.066134. Epub 2012 Jun 29.

Many real-world networks interact with and depend upon other networks. We develop an analytical framework for studying a network formed by n fully interdependent randomly connected networks, each composed of the same number of nodes N. The dependency links...

SBpipe: a collection of pipelines for automating repetitive simulation and analysis tasks.

BMC systems biology

Dalle Pezze P, Le Novère N.
PMID: 28395655
BMC Syst Biol. 2017 Apr 10;11(1):46. doi: 10.1186/s12918-017-0423-3.

BACKGROUND: The rapid growth of the number of mathematical models in Systems Biology fostered the development of many tools to simulate and analyse them. The reliability and precision of these tasks often depend on multiple repetitions and they can...

Sexual Recruitment in Zostera marina: Progress toward a Predictive Model.

PloS one

Furman BT, Peterson BJ.
PMID: 26368792
PLoS One. 2015 Sep 14;10(9):e0138206. doi: 10.1371/journal.pone.0138206. eCollection 2015.

Ecophysiological stress and physical disturbance are capable of structuring meadows through a combination of direct biomass removal and recruitment limitation; however, predicting these effects at landscape scales has rarely been successful. To model environmental influence on sexual recruitment in...

DistributedFBA.jl: high-level, high-performance flux balance analysis in Julia.

Bioinformatics (Oxford, England)

Heirendt L, Thiele I, Fleming RMT.
PMID: 28453682
Bioinformatics. 2017 May 01;33(9):1421-1423. doi: 10.1093/bioinformatics/btw838.

MOTIVATION: Flux balance analysis and its variants are widely used methods for predicting steady-state reaction rates in biochemical reaction networks. The exploration of high dimensional networks with such methods is currently hampered by software performance limitations.RESULTS: DistributedFBA.jl is a...

[The new biology of computers in ophthalmology].

Archivos de la Sociedad Espanola de Oftalmologia

Asensio-Sánchez VM, Trujillo-Guzman L.
PMID: 25087970
Arch Soc Esp Oftalmol. 2015 Jan;90(1):47. doi: 10.1016/j.oftal.2014.03.021. Epub 2014 Jul 31.

No abstract available.

Coexistence of competing metabolic pathways in well-mixed populations.

Physical review. E

Fernández L, Amado A, Campos PR, Ferreira FF.
PMID: 27300918
Phys Rev E. 2016 May;93(5):052401. doi: 10.1103/PhysRevE.93.052401. Epub 2016 May 05.

Understanding why strains with different metabolic pathways that compete for a single limiting resource coexist is a challenging issue within a theoretical perspective. Previous investigations rely on mechanisms such as group or spatial structuring to achieve a stable coexistence...

Computational approaches for systems metabolomics.

Current opinion in biotechnology

Krumsiek J, Bartel J, Theis FJ.
PMID: 27135552
Curr Opin Biotechnol. 2016 Jun;39:198-206. doi: 10.1016/j.copbio.2016.04.009. Epub 2016 Apr 30.

Systems genetics is defined as the simultaneous assessment and analysis of multi-omics datasets. In the past few years, metabolomics has been established as a robust tool describing an important functional layer in this approach. The metabolome of a biological...

Diabetes: Leveraging the Tipping Point of the Diabetes Pandemic.

Diabetes

Weng JP, Hu G.
PMID: 28533297
Diabetes. 2017 Jun;66(6):1461-1463. doi: 10.2337/dbi16-0076.

No abstract available.

Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?.

The Journal of physiology

Niederer SA, Smith NP.
PMID: 27121495
J Physiol. 2016 Dec 01;594(23):6849-6863. doi: 10.1113/JP272003. Epub 2016 Jul 03.

Heart disease continues to be a significant clinical problem in Western society. Predictive models and simulations that integrate physiological understanding with patient information derived from clinical data have huge potential to contribute to improving our understanding of both the...

Bioprinting technologies for disease modeling.

Biotechnology letters

Memic A, Navaei A, Mirani B, Cordova JAV, Aldhahri M, Dolatshahi-Pirouz A, Akbari M, Nikkhah M.
PMID: 28550360
Biotechnol Lett. 2017 Sep;39(9):1279-1290. doi: 10.1007/s10529-017-2360-z. Epub 2017 May 26.

There is a great need for the development of biomimetic human tissue models that allow elucidation of the pathophysiological conditions involved in disease initiation and progression. Conventional two-dimensional (2D) in vitro assays and animal models have been unable to...

Predictive modeling studies for the ecotoxicity of ionic liquids towards the green algae Scenedesmus vacuolatus.

Chemosphere

Das RN, Roy K.
PMID: 24296027
Chemosphere. 2014 Jun;104:170-6. doi: 10.1016/j.chemosphere.2013.11.002. Epub 2013 Dec 02.

Hazardous potential of ionic liquids is becoming an issue of high concern with increasing application of these compounds in various industrial processes. Predictive toxicological modeling on ionic liquids provides a rational assessment strategy and aids in developing suitable guidance...

Showing 25 to 36 of 1077 entries