Now showing items 1-10 of 63
Three-Dimensional Characterization of Iron Oxide (alpha-Fe2O3) Nanoparticles: Application of a Compressed Sensing Inspired Reconstruction Algorithm to Electron Tomography
(Cambridge University Press, 2012-12)
In this article, we demonstrate the application of a new compressed sensing three-dimensional reconstruction algorithm for electron tomography that increases the accuracy of morphological characterization of nanostructured ...
Transcriptomic Analysis of Hepatic Cells in Multicellular Organotypic Liver Models
(Springer Nature, 2018-07-27)
Liver homeostasis requires the presence of both parenchymal and non-parenchymal cells (NPCs). However, systems biology studies of the liver have primarily focused on hepatocytes. Using an organotypic three-dimensional (3D) ...
Network-based functional enrichment
Background Many methods have been developed to infer and reason about molecular interaction networks. These approaches often yield networks with hundreds or thousands of nodes and up to an order of magnitude more edges. ...
Discovery and ramifications of incidental Magnéli phase generation and release from industrial coal-burning
(Nature Publishing Group, 2017-01-12)
Coal, as one of the most economic and abundant energy sources, remains the leading fuel for producing electricity worldwide. Yet, burning coal produces more global warming CO2 relative to all other fossil fuels, and it is ...
Experimental testing of a new integrated model of the budding yeast Start transition
(Amer Soc Cell Biology, 2015-11-05)
Measurement and modeling of transcriptional noise in the cell cycle regulatory network
(Landes Bioscience, 2013-10-01)
A high-energy-density sugar biobattery based on a synthetic enzymatic pathway
(Springer Nature, 2014-01)
High-energy-density, green, safe batteries are highly desirable for meeting the rapidly growing needs of portable electronics. The incomplete oxidation of sugars mediated by one or a few enzymes in enzymatic fuel cells ...
Combinatory Finite Element and Artificial Neural Network Model for Predicting Performance of Thermoelectric Generator
Thermoelectric generators (TEGs) are rapidly becoming the mainstream technology for converting thermal energy into electrical energy. The rise in the continuous deployment of TEGs is related to advancements in materials, ...
Dielectrophoretic differentiation of mouse ovarian surface epithelial cells, macrophages, and fibroblasts using contactless dielectrophoresis
(American Institute of Physics, 2012-06-01)
Ovarian cancer is the leading cause of death from gynecological malignancies in women. The primary challenge is the detection of the cancer at an early stage, since this drastically increases the survival rate. In this ...
Investigating dielectric properties of different stages of syngeneic murine ovarian cancer cells
(American Institute of Physics, 2013-01-01)
In this study, the electrical properties of four different stages of mouse ovarian surface epithelial (MOSE) cells were investigated using contactless dielectrophoresis (cDEP). This study expands the work from our previous ...