HALOE science investigation

The Halogen Occulation Experiment (HALOE) gas response test simulations were completed using the HALOE spectroscopic instrument model. A new series of programs were written for routine repetitive runs of the spectroscopic model to make it more user friendly for certain studies. Some of the limitations of the model were eased for atmospheric studies. Atmospheric signal profiles were calculated for inclusion in the electronic model programs. Analysis of additional spectral bands of CO2 in the 3 micron region was continued. A program of measurement of the air broadened halfwidths of spectral lines in the nu (sub 3) fundamental band of CH4 was started and over 40 lines measured

Overview of SERI's high efficiency solar cell research

The bulk of the research efforts supported by the Solar Energy Research Institute (SERI) High Efficiency Concepts area has been directed towards establishing the feasibility of achieving very high efficiencies, 30% for concentrator and more than 20% for thin film flat plate, in solar cell designs which could possibly be produced competitively. The research has accomplished a great deal during the past two years. Even though the desired performance levels have not yet been demonstrated, based on the recent progress, a greater portion of the terrestrial photovoltaics community believes that these efficiencies are attainable. The program will now allocate a larger portion of resources to low cost, large area deposition technology. The program is currently shifting greater emphasis on to the study of crystal growth in order to provide the understanding and tools needed to design a large area process

Aurora Volume 06

College formerly located at Olivet, Illinois and known as Olivet University, 1912-1923 ; Olivet College, 1923-1939 ; Olivet Nazarene College, 1940-1986 ; Olivet Nazarene University, 1986-https://digitalcommons.olivet.edu/arch_yrbks/1005/thumbnail.jp

Aurora Volume 05

College formerly located at Olivet, Illinois and known as Olivet University (1912-1923) Olivet College (1923-1939), Olivet Nazarene College (1940-1986), and Olivet Nazarene University (1986-Present).https://digitalcommons.olivet.edu/arch_yrbks/1004/thumbnail.jp

Gaussian quadrature exponential sum modeling of near infrared methane laboratory spectra obtained at temperatures from 106 to 297 K

Transmission measurements made on near-infrared laboratory methane spectra have previously been fit using a Malkmus band model. The laboratory spectra were obtained in three groups at temperatures averaging 112, 188, and 295 K; band model fitting was done separately for each temperature group. These band model parameters cannot be used directly in scattering atmosphere model computations, so an exponential sum model is being developed which includes pressure and temperature fitting parameters. The goal is to obtain model parameters by least square fits at 10/cm intervals from 3800 to 9100/cm. These results will be useful in the interpretation of current planetary spectra and also NIMS spectra of Jupiter anticipated from the Galileo mission

Effect of natural genetic variation on enhancer selection and function.

The mechanisms by which genetic variation affects transcription regulation and phenotypes at the nucleotide level are incompletely understood. Here we use natural genetic variation as an in vivo mutagenesis screen to assess the genome-wide effects of sequence variation on lineage-determining and signal-specific transcription factor binding, epigenomics and transcriptional outcomes in primary macrophages from different mouse strains. We find substantial genetic evidence to support the concept that lineage-determining transcription factors define epigenetic and transcriptomic states by selecting enhancer-like regions in the genome in a collaborative fashion and facilitating binding of signal-dependent factors. This hierarchical model of transcription factor function suggests that limited sets of genomic data for lineage-determining transcription factors and informative histone modifications can be used for the prioritization of disease-associated regulatory variants