Therapeutic Applications of Curcumin and Derivatives in Colorectal Cancer.

Curcumin (CUR), a natural phenolic compound, has been increasingly investigated in several malignancies due to its safe profile and ability to affect a wide range of oncogenic targets. With the ability to affect metastasis, apoptosis, and angiogenesis in colorectal cancer (CRC) and its tolerability at high doses, CUR is an attractive target for study. However, poor bioavailability and unfavorable pharmacokinetics and pharmacodynamics have hampered CUR's efficacy in clinical trials.

Optimized spectral microwindows for data analysis of the Michelson Interferometer for Passive Atmospheric Sounding on the Environmental Satellite.

For data analysis of the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) atmospheric limb emission spectroscopic experiment on Environmental Satellite microwindows, i.e., small spectral regions for data analysis, have been defined and optimized.

Optimized forward model and retrieval scheme for MIPAS near-real-time data processing.

An optimized code to perform the near-real-time retrieval of profiles of pressure, temperature, and volume mixing ratio (VMR) of five key species (O(3), H(2)O, HNO(3), CH(4), and N(2)O) from infrared limb spectra recorded by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) experiment on board the European Space Agency (ESA) Environmental Satellite ENVISAT-1 was developed as part of a ESA-supported study. The implementation uses the global fit approach on selected narrow spectral intervals (microwindows) to retrieve each profile in sequence. The trade-off between run time and accuracy of the retrieval was optimized from both the physical and the mathematical points of view, with optimizations in the program structure, in the radiative transfer model, and in the computation of the retrieval Jacobian.

Microwindow selection for high-spectral-resolution sounders.

The recent development of satellite instruments that obtain spectrally resolved measurements of the atmosphere has highlighted the problem of how to determine the best subsets, or microwindows, of such spectra for retrievals of temperature and composition. A technique is described that maximizes the information content (or some other figure of merit) based on the modeling of the propagation of systematic as well as random error terms through the retrieval process. Apart from selecting microwindows, this technique can also prioritize existing microwindows for different circumstances and provides a full error analysis of the retrieval.