Dual Frame (Landline and Cell RDD) Estimation in a National Survey of Latinos

Explores the implications of conducting surveys by both landline and cell phones for issues of survey bias and undercoverage of Latinos, among whom the cell phone-only population is growing. Discusses sampling and weighting methods

Predicted hue and saturation for non-spectral lights

The Jameson and Hurvich opponent colors model of hue and saturation was tested for spectral and non-spectral lights. Four observers scaled, using standard color naming techniques, the hue and saturation of both spectral and non-spectral lights. These lights consisted of 11 wavelengths from 440 to 640nm in steps of 20nm and consisted of 5 purities, 1.0, 0.80, 0.60, 0.40 and 0.20. Admixtures of monochromatic light and a xenon-white desaturant yielded the different colorimetric purities. For each observer, chromatic response functions were measured by the method of hue cancellation for each purity, and an achromatic response function was measured by the method of heterochromatic flicker photometry for spectral lights. Chromatic response functions measured for a particular purity and the achromatic response function were used to predict hue and saturation for that purity. Hue varied with purity, the Abney effect, consistent with what would be expected due to additivity and opponent cancellation if the xenon-white desaturant were yellowish. The model made approximate predictions of hue for each purity, but failed to predict precisely the Abney effect. Previous results of a minimum forming on the saturation function at 480nm with decreasing purity were confirmed. This minimum was possibly due to opponent cancellation between the yellowish xenon-white and the predominately blue appearing 480nm light. An additional experiment demonstrated that the xenon-white appeared yellowish. The model made relatively poor predictions of saturation, tending to overestimate short-wave lights and underestimate long-wave lights. The possibility of the rods contributing to saturation was discussed. An additional experiment found that stimulus parameters that favor rod contribution weaken the model\u27s predictions of saturation, while stimulus parameters that do not favor rod contribution improve the model\u27s predictions of saturation

Plasma Dynamics

Contains reports on ten research projects split into two sections.National Science Foundation (Grant ENG77-00340)U.S. Department of Energy (Contract EY-76-S-02-2766)U.S. Air Force - Office of Scientific Research (Grant AFOSR-77-3143)U.S. Department of Energy (Contract ET-78-C-01-3019)U.S. Department of Energy (Contract ET-78-S-02-4681)U.S. Department of Energy (Contract ET-78-S-02-4682)U.S. Department of Energy (Grant EG-77-G-01-4107)U.S. Department of Energy (Contract ET-78-S-02-4714)U.S. Department of Energy (Contract ET-78-S-02-4886)U.S. Department of Energy (Contract ET-78-S-02-4690

Plasma Dynamics

Contains research objectives and summary of research on twenty-one projects split into three sections, with four sub-sections in the second section and reports on twelve research projects.National Science Foundation (Grant ENG75-06242)U.S. Energy Research and Development Administration (Contract E(11-1)-2766)U.S. Energy Research and Development Agency (Contract E(11-1)-3070)U.S. Energy Research and Development Administration (Contract E(11-1)-3070)Research Laboratory of Electronics, M.I.T. Industrial Fellowshi

Construction of an ~700-kb transcript map around the Familial Mediterranean Fever locus on human chromosome 16p13.3

We used a combination of cDNA selection, exon amplification, and computational prediction from genomic sequence to isolate transcribed sequences from genomic DNA surrounding the familial Mediterranean fever (FMF) locus. Eighty-seven kb of genomic DNA around D16S3370, a marker showing a high degree of linkage disequilibrium with FMF, was sequenced to completion, and the sequence annotated. A transcript map reflecting the minimal number of genes encoded within the ∼700 kb of genomic DNA surrounding the FMF locus was assembled. This map consists of 27 genes with discreet messages detectable on Northerns, in addition to three olfactory-receptor genes, a cluster of 18 tRNA genes, and two putative transcriptional units that have typical intron–exon splice junctions yet do not detect messages on Northerns. Four of the transcripts are identical to genes described previously, seven have been independently identified by the French FMF Consortium, and the others are novel. Six related zinc-finger genes, a cluster of tRNAs, and three olfactory receptors account for the majority of transcribed sequences isolated from a 315-kb FMF central region (betweenD16S468/D16S3070 and cosmid 377A12). Interspersed among them are several genes that may be important in inflammation. This transcript map not only has permitted the identification of the FMF gene (MEFV), but also has provided us an opportunity to probe the structural and functional features of this region of chromosome 16.Michael Centola, Xiaoguang Chen, Raman Sood, Zuoming Deng, Ivona Aksentijevich, Trevor Blake, Darrell O. Ricke, Xiang Chen, Geryl Wood, Nurit Zaks, Neil Richards, David Krizman, Elizabeth Mansfield, Sinoula Apostolou, Jingmei Liu, Neta Shafran, Anil Vedula, Melanie Hamon, Andrea Cercek, Tanaz Kahan, Deborah Gumucio, David F. Callen, Robert I. Richards, Robert K. Moyzis, Norman A. Doggett, Francis S. Collins, P. Paul Liu, Nathan Fischel-Ghodsian and Daniel L. Kastne

Thick source alpha activity of some North Atlantic cores

Six representative deep sea cores have been analyzed for their thick source alpha emission at about every 20 cm. Some correlation can be made with a calcium carbonate content but not with absolute surface area. The range of relative alpha activity is 2-3 counts/cm2/hr for sand, 2--4 for globigerina ooze, 4-6 for foraminiferal green clay, and 5-10 for fine white to red clay with low foram content. It appears that total alpha activity cannot be correlated simply with age as might be suggested from the Urry ionium vs. depth curves

Pharmacogenetics: CYPs, NAT2 and 5-HTT Related to Antidepressants

Pharmacogenetics (PGt), the study of a gene\u27s influence on patient response to a drug, shows strong potential for explaining issues with efficacy related to antidepressant medications. Each year, antidepressants are one of the most commonly prescribed medications due to the millions of Americans affected by depression. Importantly, it is recognized that there is wide interpatient variability in drug response to antidepressants caused by genetic mutations, which can alter the pharmacodynamic (PD) and pharmacokinetic (PK) properties of various drugs used to treat depression. Proteins that are mainly involved in how patients respond to medications include receptors, drug-targeted proteins, drug transport proteins and drug-metabolizing enzymes. Specifically in depression, variations in the serotonin reuptake transporter (SERT-1 or 5-HTT), N-acetyltransferase (NAT2), cytochrome P450 (CYP) 2C19, 2D6, and 1A2 can affect the outcomes of patients receiving certain antidepressant medications. Utilizing PGt can help prevent the trial and error in prescribing antidepressants and lead to better patient outcomes in the treatment of depression. Pharmacists can utilize genetic information to help primary care physicians choose drug regimens that are more likely to benefit their patients. Although advances are being made in this subject matter, some major efforts of future research will evaluate the efficacy of drug regimens and the dosing of drugs based on patient genetics

Plasma Dynamics

Contains reports on seventeen research projects split into two sections.National Science Foundation (Grant ENG77-00340)U. S. Energy Research and Development Administration (Contract E(11-1)-2766)U. S. Energy Research and Development Administration (Contract EY-76-S-02-2766)U. S. Air Force - Office of Scientific Research (Grant AFOSR-77-3143)U. S. Department of Energy (Grant EG-77-G-01-4107

Improving Gene-finding in Chlamydomonas reinhardtii:GreenGenie2

<p>Abstract</p> <p>Background</p> <p>The availability of whole-genome sequences allows for the identification of the entire set of protein coding genes as well as their regulatory regions. This can be accomplished using multiple complementary methods that include ESTs, homology searches and <it>ab initio </it>gene predictions. Previously, the Genie gene-finding algorithm was trained on a small set of <it>Chlamydomonas </it>genes and shown to improve the accuracy of gene prediction in this species compared to other available programs. To improve <it>ab initio </it>gene finding in <it>Chlamydomonas</it>, we assemble a new training set consisting of over 2,300 cDNAs by assembling over 167,000 <it>Chlamydomonas </it>EST entries in GenBank using the EST assembly tool PASA.</p> <p>Results</p> <p>The prediction accuracy of our cDNA-trained gene-finder, GreenGenie2, attains 83% sensitivity and 83% specificity for exons on short-sequence predictions. We predict about 12,000 genes in the version <it>v3 Chlamydomonas </it>genome assembly, most of which (78%) are either identical to or significantly overlap the published catalog of <it>Chlamydomonas </it>genes <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>. 22% of the published catalog is absent from the GreenGenie2 predictions; there is also a fraction (23%) of GreenGenie2 predictions that are absent from the published gene catalog. Randomly chosen gene models were tested by RT-PCR and most support the GreenGenie2 predictions.</p> <p>Conclusion</p> <p>These data suggest that training with EST assemblies is highly effective and that GreenGenie2 is a valuable, complementary tool for predicting genes in <it>Chlamydomonas reinhardtii</it>.</p